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Discover new technologies by our partners

Leveraging our wide network of partners, we have curated numerous enabling technologies available for licensing and commercialisation across different industries and domains. Our focus also extends to emerging technologies in Singapore and beyond, where we actively seek out new technology offerings that can drive innovation and accelerate business growth.

By harnessing the power of these emerging technologies and embracing new technology advancements, businesses can stay at the forefront of their fields. Explore our technology offers and collaborate with partners of complementary technological capabilities for co-innovation opportunities. Reach out to IPI Singapore to transform your business with the latest technological advancements.

Integrated Smart Infrastructure Management Platform
The Integrated Smart Infrastructure Management Platform is an AI-powered software solution that functions as the digital command center for smart buildings and large-scale facilities. It connects and manages diverse IoT devices and subsystems, including HVAC, lighting, security, and energy, within a unified digital environment. Through real-time data integration, AI-driven predictive analytics, and cross-system automation, the platform enables seamless monitoring and intelligent control of infrastructure operations. It addresses key challenges such as data silos, delayed responses, high energy consumption, and inefficient maintenance, helping organizations enhance operational resilience and sustainability. Designed for complex operational environments such as campuses, data centers, hospitals, and industrial parks, the platform transforms fragmented systems into a cohesive, adaptive, and energy-efficient ecosystem that empowers facility managers to make faster, data-driven decisions. Ideal collaboration partners include property developers, public infrastructure operators, system integrators, and smart building solution providers who are seeking to localize or enhance their digital operations capabilities.  Built on a cloud-native microservices architecture, the platform is scalable, secure, and suitable for hybrid or multi-cloud deployment. Key features include: AI-based Predictive Maintenance: Detects and resolves equipment anomalies before failures occur. Unified Data Layer: Collects, fuses, and visualizes real-time data from multiple systems and IoT devices. Open API Ecosystem: Integrates seamlessly with third-party platforms, sensors, and legacy equipment. Low-Code Automation Tools: Enables intuitive workflow orchestration without extensive programming. Energy Intelligence Suite: Monitors and forecasts energy usage while recommending optimization strategies. Secure & Reliable Operation: Includes fine-grained access control, multi-level alerts, and hot-upgrade capability for continuous service. By consolidating operational data and control logic, the platform delivers a unified digital environment for intelligent facility management and decision-making. The platform is ideal for organizations pursuing digital transformation, energy efficiency, and operational excellence in infrastructure management. Key application areas include: Green Data Centers: Optimize power efficiency (PUE) and ensure predictive maintenance. Smart Hospitals: Manage environmental safety, equipment reliability, and energy consumption. Industrial Facilities: Support production reliability, predictive maintenance, and carbon reduction. Urban Infrastructure: Enable city-level collaboration and integrated asset management. Retail & Hospitality Chains: Standardize and centralize multi-site operational management. Across these domains, the solution provides the foundation for sustainable, intelligent, and cost-effective operations. The Integrated Smart Infrastructure Management Platform transforms facility operations from reactive maintenance to proactive intelligence. Unlike conventional systems that monitor each subsystem independently, it unifies all assets and data under one AI-enabled management layer. Its unique strengths include: Real-Time Situational Awareness: Continuous data collection and visualization across all subsystems. Predictive Intelligence: AI algorithms forecast faults and optimize performance. Cross-System Collaboration: Automated responses that link previously siloed systems. Energy & Cost Optimization: Smart control logic reduces resource waste and operating expenses. Open & Scalable Architecture: Supports extensive customization and partner ecosystem growth. This comprehensive, future-ready solution helps organizations achieve greater reliability, sustainability, and operational efficiency, while creating opportunities for new service and technology partnerships. Building Operations Platform, Predictive Maintainence, Energy Optimization, Intelligent Facility Management, Data Fusion, Green Building Technology Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Operating Systems, Smart Cities, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems
Multi-Functional Autonomous Facility Management Robot
The adoption of multi-functional autonomous robots is steadily increasing to support and enhance operational efficiency in the facilities management sector. This technology presents a robot integrated with advanced sensor systems, artificial intelligence (AI), and autonomous mobility to perform multiple tasks. As a digital concierge, the robot provides enhanced visitor experience with seamless 2-way communication and an integrated touchscreen to connect with site duty personnel. The same screen can double up as an announcement board for advertisements and alerts, thereby extending a virtual front-desk capability effectively. In the security domain, this robot conducts autonomous patrols with real-time video surveillance and A.I.-based anomaly detection. The security head is embedded with a "brain” to perform on-edge computing to detect security-related used cases, significantly improving safety and accuracy in complex indoor environments. For cleaning, the robot can detect over 30 types of waste with 99% accuracy. Its self-adaptive cleaning system adjusts to floor type and debris volume, while a verification mechanism ensures more effective spot-cleaning compared to conventional single-pass robots.  These Multi-Functional Autonomous Facility Management Robot can yield significant operational savings, increase patrol frequency and shorten response time to incidents. This technology offers a software that features plug-and-play solutions that be customised to specific SOPs and needs. The technology owner is looking for collaborators, such as building owners and integrated facility management companies, with use cases to test-bed AI models. Examples include but not limited to identification of suspicious baggage, illegal parking or stray supermarket trolleys.  The robot combines autonomous navigation with real-time AI processing. Its modular design allows for easy customisation based on operational needs. Key components include: Sensor suite featuring 32-beam 3D LiDAR, ultrasonic sensors & cameras for obstacle detection or environmental mapping AI-powered modules for object/person detection, thermal imaging, and anomaly alert Cloud-based dashboard for task assignment, remote monitoring, and analytics Interchangeable task modules for cleaning (e.g., vacuum/sweeper), security patrolling, and data capture Detect over 30 types of waste with 99% accuracy, with cleaning efficiency reaches up to 15,550 m²/hr Customisable module to fit specific applications This multi-functional robotic platform is ideally suited for deployment in environments that require a combination of cleanliness, security, and user interaction, particularly where operational efficiency and manpower optimization are key priorities. Industries and settings include: Commercial buildings: Automates cleaning, performs security patrols during and after hours, and assists visitors Healthcare facilities: Maintains hygiene, monitors for safety risks, and provides non-contact concierge functions Transportation hubs (airports, train stations): Enhances public safety and facility cleanliness at scale Retail complexes and malls: Supports shopper engagement, provides sanitation services, and detects anomalies Educational institutions and campuses: Ensures safe, clean, and welcoming environments Hospitality and mixed-use developments: Offers 24/7 concierge support, patrolling, and environment upkeep The global service robotics market is projected to grow by a CAGR of 30.25%, or $90.4 billion, from 2024 to 2028. This rapid growth will be driven by the continuing integration of advanced technologies such as IoT, A.I., and natural language processing into service robots. Technological advancements in machine learning, adaptive computing, and vision systems will also make service robots increasingly suitable for commercial tasks.  This autonomous multi-functional robot offers a comprehensive upgrade over current facility management solutions by integrating various functions in domains such as cleaning, security, and concierge into a single, intelligent body. This all-in-one solution delivers: Operational cost reduction through task consolidation across different functions, potentially cut cleaning and security manpower cost by 60-70% Faster response from sensing to action with integrated digital concierge, dashboard monitoring and real-time alerts Enhanced safety via advanced 3D spatial awareness Improved service quality without added manpower By unifying execution and intelligence across multiple domains, the robot transforms traditional building operations into efficient, autonomous workflows, bridging the gap between insight and action, delivering a more responsive, self-sufficient, and cost-effective solution for modern facility operations. Autonomous robotics, Integrated facility operations, cleaning automation, security surveillance, AI, robots, multi-function Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Robotics & Automation, Ambient Intelligence & Context-Aware Computing, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems
Dilution Air Purification Systems (DAPS)
This technology represents an innovative approach to indoor air quality (IAQ) management, focusing on sustainability and energy efficiency. Leveraging the principle of dilution, outdoor airflow can be adjusted dynamically to balance energy consumption and air quality. The system uses a predefined control algorithm to determine the optimal mix of outdoor and recirculated air based on the concentration of particulate matter or carbon dioxide in the indoor environment. Users can customise the system's operation based on their IAQ requirements, ensuring efficient ventilation while minimising energy usage. This low-cost solution aims to tackle challenges associated with IAQ, energy efficiency, and sustainability that cannot be accomplished by traditional heating, ventilation, and air conditioning (HVAC) systems. Instead, integrating decentralised air purification technologies into building design and urban planning initiatives, indoor pollutants can be removed while minimising operational costs and environmental impact. City planners can now better prioritise IAQ and energy efficiency from the outset, ensuring that future developments contribute to healthier, more livable communities. Public health, well-being, environmental sustainability, and climate resilience can be strengthened. This technology is best suited for retrofitting air conditioning systems in small to medium-sized residential care facilities and commercial buildings. This technology uses IAQ management to maintain consistent air quality, tailored to individual rooms or zones. With customisable airflow rates and purification levels, IAQ can be more effectively managed across the entire building. Additionally, integrating the Dilution Air Processing Unit (DAPU) enhances energy efficiency through process integration, engineered air psychrometry, and real-time monitoring and control. This significantly reduces energy consumption and operational costs compared to conventional HVAC systems. The novelty of this technology lies in its comprehensive approach to IAQ management, integrating engineering principles with advanced technologies to deliver tailored solutions for various building needs. Key features and performance data of DAPS include: Customisable fresh air intake: Gradually adjusts fresh air intake to maintain target PM1.0/PM2.5 levels. Activates 100% fresh air only when PM levels reach user-defined critical thresholds. Improved particle reduction efficiency: At a baseline ventilation requirement of 33% fresh air, DAPS reduces PM2.5 by 33%, compared to only 21% with traditional ACMV systems. At 100% fresh air, DAPS reduces PM2.5 by 79%, whereas traditional ACMV systems achieve only 51%. Better performance compared to air purifiers: Provides 10% higher PM2.5 particle reduction efficiency than standard air purifiers in similar room settings. Air purifiers do not meet SS554 fresh air requirements for buildings. Energy efficiency: When coupled with Dilution Air Processing Unit (DAPU), DAPS consumes 25% to 34% less energy across all fresh air settings than traditional ACMV systems. Critical environments such as hospitals and laboratories Commercial buildings requiring zone-level or room-level IAQ control Healthcare isolation and treatment facilities Hot-desking areas in airport terminals Hot-desking areas in shopping malls     Optimises energy efficiency by identifying the ideal fresh air percentage to achieve the desired air quality, ensuring energy savings and improved IAQ. Adapts purification levels in real-time to minimize unnecessary energy use while maintaining optimal air quality. Mitigates retrofitting issues for existing buildings by setting up easy-to-implement real-world examples. Incorporates advanced dynamic features that meet SS554 standards and outperform existing air cleaning technologies, including air purifiers and HEPA filters. Adopts a pollution-free, environmental-friendly approach for indoor air quality, aligning with global energy and environmental goal. The technology owner seeks to collaborate with: Building and transport system integrators to drive widespread adoption of DAPS. Healthcare institutions looking to upgrade their ventilation systems to reduce respiratory illnesses among vulnerable occupants. AI-based statisticians to analyse correlations among various factors and develop predictive models for reducing the spread of airborne diseases using DAPS data-driven systems. By integrating engineering, health sciences, and data science, the technology owner aims to develop comprehensive healthcare solutions for future advancements. Dilution ventilation, Air purification, Clean air technology, Indoor air quality management, Outdoor/ Fan Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems
Compact Spectrometry-Based Electronic Nose for Odour Detection
With increasing discoveries of new pollutants being detrimental to human health and the environment, there have been an increasing scrutiny of air pollution, industrial emission and air quality through tighter government regulations. With the increasing importance to detect different combination of analyte concentrations within an area, there is a growing demand for electronic olfactory system. Laboratory multi-analyte analysis method, like gas chromatography and mass spectrometry (GC/MS), provide high accuracy and selectivity but is time consuming, complex and not portable. Comparatively, industrial gas sensors, like micro-electromechanical systems (MEMS), are portable and simple but lack the selectivity of chemical substances and do not operate in real-time. The technology owner has leveraged on Field Asymmetric Ion Mobility Spectrometry (FAIMS) with a proprietary odour analysis system built on extensive experimental data to develop a compact, lightweight spectrometer for real-time multi-analyte analysis.  While this system may not fully match the performance of laboratory-grade mass spectrometry, it offers higher accuracy and selectivity than industrial gas sensors, enabling continuous, non-invasive analysis on the go. Notably, it excels in ammonia detection by achieving highly sensitive measurements ranging from sub-ppb to several hundred ppb. The technology owner is currently seeking industrial collaborators looking to explore digital olfaction devices for multi-analyte analysis application, particularly for ammonia-based detection, which leverages on the technology’s high selectivity and sensitivity. The device solution utilises FAIMS (Field Asymmetric Ion Mobility Spectrometry), which separate individual gas molecules via ionisation and specialised electric field and identifies them via electrical signals. Previously limited to only specialised environments, the technology owner has leveraged on proprietary algorithm of data analysis to develop a deployable device for broader usability. The key features include: High sensitivity and selectivity Battery powered for portability to deploy device (as an IoT) on site Compact formfactor (~3kg) with current prototype being 120mm (H) × 220mm (W) × 160mm (D) User friendly with no in-depth technical expertise required Real-time multi-gas analysis for quick and actionable insights, such as pattern recognition, early hazard detection and predictive maintenance Continuous, non-invasive sample delivery design using integrated pump design for contactless analysis Provision of cloud data transmission, computing and visualisation for horizontal usage across various application Easier maintenance due to fewer consumables and ease of replacement With the capability of deployable laboratory multi-analyte detection and analysis, the technology solution is designed to enable various odour-centric application across different industries such as: Environmental Monitoring for Safety and Health: Monitoring and mapping of ambient air pollutants, fire hazard monitoring and prediction, cleanroom contamination and visualisation, and odour monitoring in confined environments (e.g. cabin air, tunnel) Gas/Solvent-based Industrial & Manufacturing Processing: Monitoring, leak detection and mapping (e.g. for ammonia energy source), odour detection and control, and solvent analysis and contamination evaluation Food & Beverages: Maintenance of food hygiene, freshness evaluation and control, authenticity assessment of products, and contamination detection and mapping Logistics: Monitoring of perishables, and packaging defect detection Healthcare and Wellness: Non-invasive bio-gas analysis for disease diagnostics, management of chronic conditions, and effectiveness testing Agriculture: Quality assessment of produce, and predictive maintenance of optimal growth conditions The global electronic nose (e-nose) market is expected to be valued at US$972 million in 2024 and is projected to reach US$1,617 million by 2029, exhibiting a CAGR of 10.7% during the forecast period. Across application segments within the global e-nose market, medical application is projected to be the largest market share in 2029 of US$665 million while environmental monitoring application is expected to exhibit the largest CAGR of 12.1% during the forecast period of 2024 to 2029. The technology solution is designed to leverage the advantages of FAIMS and MEMS technology to develop the odour sensor system capable of high sensitivity and selectivity while being compact, portable and user friendly. With the continuous real-time multi-gas analysis on site, the system has the capability to provide AI based analytics, such as odour profiling and predictive maintenance, for quick insightful decision-making. This technology will provide the future integration to a non-invasive IoT device across various use-cases, from potentially detecting new hazardous odours for public safety to disease diagnostics via breath analysis. Real-Time Spectrometry, MEMS, Field Asymmetric Ion Mobility Spectrometry (FAIMS), Air Quality, Ammonia Monitoring and Detection, Process Monitoring, Bio-gas Diagnostics, Food Inspection, Chemical Substance Detection, Volatile Organic Compounds (VOC), Leak Detection Electronics, Sensors & Instrumentation, Green Building, Indoor Environment Quality, Infocomm, Smart Cities, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems
Smart Fish For Oceanic Microplastics Detection In Coastal Areas
Microplastics contamination in the natural water bodies, which are resulted from disintegration from plastic waste, has raised public concern due to high level of fragmentation and disturbance in ecosystem. Every year, 11 million metric tons of plastics enter our ocean on top of the estimated 200 million metric tons that currently circulate our marine environments. This technology is a 'smart fish' that will be deployed in water bodies to allow for autonomous sampling using remote sensing and GPS technology, real-time detection of contaminants and a contaminant treatment unit to mitigate microplastic contamination. The prototype is currently employed in project to provide real-time sampling, detection and characterization of microplastics and aircraft tire wear particles in coastal areas of Lantau Island near Hong Kong International Airport. This prototype includes the following components: Sampling unit Filtration unit which uses a stainless steel membrane Two staining chambers for microplastics and aircraft tire wear particles Image capturing system for quantification of microplastics User-friendly mobile app to visualize the real-time data Treatment unit to breakdown microplastics and aircraft tire wear particles through an oxidation process Waste tank to store residual waste which will be removed when the smart fish returns to base The operation of the prototype will be controlled by computer programmes. Solar panels will be installed on top of the prototype for sustainable energy production and consumption. The potential applications include environmental monitoring, where the technology can be used to quickly and accurately detect microplastics in oceans, rivers, lakes, and drinking water sources. This helps track pollution levels and identify contaminated areas. For marine life protection, detecting microplastics in water helps in understanding the scale of pollution affecting marine ecosystems. Conservationists can use this technology to monitor the impact of plastic on marine organisms and habitats. In industries that manufacture or use plastics, the technology can be utilized to monitor production processes, ensuring minimal microplastic leakage into the environment. Traditional microplastic detection methods often require complex laboratory equipment such as infrared spectroscopy, scanning electron microscopes, or filtration techniques, which are time-consuming and require samples to be sent to labs. This technology, which uses a proprietary staining method for microplastic detection enables real-time on-site detection, eliminating the need for specialized labs and reducing turnaround time for results. Smart Fish, Aircraft Tire Wear Particles, Real-Time Microplastic Detection Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems
Environmentally-friendly Silica-based Algicidal Hydrogel for Algal Bloom Control
Harmful algal bloom (HAB) releases toxins that can contaminate drinking water, causing illness for animals and humans. The National Centers for Coastal Ocean Science (NCCOS) estimated that the annual economic impact of HABs in the US is $10-100 million. Physical and chemical methods can be employed to deal with these, but they have several limitations. This technology is a 3D structure environmental friendly silica-based hydrogel, which has long-term effect on algal bloom control as well as pathogen control. It is capable of long-acting sustained release and precision dosing. This allows it to effectively replace the existing heavy metal algaecides on the market and solve the problem of indiscriminate dosing of algaecides, antibiotics and other additives in aquaculture. This in turn reduces the amount of drug residues and heavy metal accumulation of the aquatic end-products. Beyond aquaculture, this technology is also applicable for ensuring the health of ornamental aquariums, such as infection of pathogens as well as preventing algal bloom in natural water bodies. This technology consists of a novel composite material with algicidal effects and a real-time monitoring system. Novel Composite Material Sustained release effect which releases active ingredients into water for more than one month (customizable) Comparable algicidal rate with best-performing commercially available algaecides Silica-based porous material No harmful residues, broken down into sand at the end of its life cycle Does not contain heavy metals or antibiotics Real time monitoring system Real-time data on residual chlorine, temperature and pH Modifiable based on application scenario The technology has been employed for water quality maintenance in salt water reservoirs, large scale shrimp and fish ponds, and also for domestic applications in aquarium water quality. In general, it can be used in urban and rural water bodies, fish tanks, swimming pool or seafood restaurants. The estimated market size for solutions dealing with HABs is 68.56 US Billion. This breakthrough technology suitable for the aquaculture industry, aquarium industry and natural water protection area is poised to disrupt this industry. Current methods of algal bloom treatment: Most commercially available algicides only last 1-3 days Natural water bodies employ engineering methods that are costly and require a long time to take effect Home-based aquariums have to perform water changes, which takes time and may harm the fish The aquaculture industry uses algaecides that contain heavy metals and antibiotics, which leave toxic residues in the fish This technology: Provides long acting sustained release and precise dosing to save time, manpower and cost Contains environmentally friendly materials not harmful to marine life and marine ecosystem Can be used as a preventive measure rather than curative Incorporates digitized management to reduce manpower requirements Algal Bloom Control, Algicide, Long-term effect, Environmentally friendly Environment, Clean Air & Water, Biological & Chemical Treatment, Sensor, Network, Monitoring & Quality Control Systems
Real-Time IoT Water Monitoring and Treatment for Remote Communities
Access to clean and safe drinking water is a critical issue in many parts of Asia, particularly in rural and less accessible regions. A large portion of the population relies on surface or groundwater for daily consumption, yet as many as 240 million people are exposed to water that exceeds World Health Organization (WHO) safety limits. The increasing contamination of water sources due to anthropogenic activities such as industrial pollution, agricultural runoff, and inadequate sanitation has made water treatment essential. However, most portable water treatment systems currently available lack a vital feature: real-time monitoring of the treated water’s quality. This leaves consumers uncertain about whether the water they are drinking is truly safe, especially in unpredictable environments where water quality can fluctuate.  This technology combines IoT technology with water monitoring, offering real-time monitoring and feedback on water quality. This portable system allows users to remotely control and manage the treatment process, ensuring operational efficiency even in rural areas. With water-saving features and a low-maintenance design, it provides a sustainable and reliable solution for safe drinking water in remote and resource-limited regions.  The technology owner seeks collaboration with end users like rural communities, humanitarian organizations, and government agencies focused on water quality. They are also looking for test-bedding partners such as environmental research institutions and NGOs, and solution providers like manufacturers and IoT developers interested in sustainable water treatment and international expansion.  Portability: Compact design, easy to transport and deploy in remote locations. Remote Control: Fully controllable via mobile phone, allowing users to manage water treatment operations remotely.  Real-Time Monitoring: Continuous water quality measurement with real-time data accessible through a mobile app.  Innovative Cleaning System: Advanced cleaning mechanism reduces maintenance and extends operational life.  Modular & Scalable Design: Customizable system modules that can be scaled up or down based on user requirements and water demand.  Off-Grid Applications: Ideal for remote areas without access to conventional water treatment infrastructure.  River/Surface/Groundwater Treatment: Suitable for monitoring treated water from various water sources such as rivers, lakes, and wells.  Rainwater Harvesting: Enhances the usability of harvested rainwater by ensuring its quality through data monitoring.  Consumer Market: Designed for rugged or rural terrains, catering to campers, adventurers, and outdoor enthusiasts.  Military and Outdoor Activities: Useful for army camps and field operations, providing data for safe drinking water in challenging environments. Agriculture Irrigation: Adaptable for small-scale agricultural use to provide purified water for crops irrigation or livestocks.  Real-Time Water Quality Monitoring: Provides continuous feedback on treated water quality, ensuring consumer confidence and safety.  IoT-Enabled Remote Control: Users can remotely control and monitor the system via mobile devices, offering convenience and flexibility.  Water-Saving Backwash Feature: Optimized design reduces water wastage during backwash, promoting sustainability and efficient water use.  Predictive Maintenance Alerts: Integrated system alerts users for timely maintenance, reducing downtime and ensuring consistent operation.  Maintenance Alerts: Integrated system alerts users for timely maintenance, reducing downtime and ensuring consistent operation.  Enhanced Consumer Confidence: The system's real-time monitoring and remote-control features offer greater peace of mind compared to conventional water filtration systems (lacking a monitoring system).  Real-Time Data Acquisition: For monitoring and prediction of water consumption patterns and filter performance.  portable water treatment, water treatment, pollution detection, water, detection, iot, water quality Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems, Sustainability, Sustainable Living
Wireless Self-Powered Data Logger/Transmitter
A self-sustaining, compact IoT sensor hub, has been developed to solve a critical challenge faced by industries requiring real-time monitoring in remote, hard-to-reach locations. Traditional sensor systems often require extensive wiring, regular maintenance, and external power sources, making them costly and inefficient for long-term deployment. This data logger/transmitter addresses these challenges with its self-sustaining solar-recharging battery system, which powers industrial sensors (4-20mA, Modbus, I2C, Pulse) and enables continuous data monitoring without the need for frequent maintenance or battery replacement. With cellular connectivity options (LTE-M, NB-IoT, GSM) and GPS positioning, the device supports real-time data transmission from sensors, allowing industries such as environmental monitoring, agriculture, oil and gas, and infrastructure to monitor conditions like pressure, temperature, humidity, and flow rates from anywhere. Its rugged design ensures reliable operation in harsh environments, reducing the risk of equipment failure and costly downtime. This plug-and-play solution is easy to deploy, making it an attractive option for industries seeking low-maintenance, cost-effective, long-term monitoring systems. The device is designed to optimize resource management, ensure operational efficiency, and enhance decision-making through continuous, reliable data collection. It is ideal for industries with remote operations or those requiring constant monitoring in challenging conditions. The technology owner is seeking collaboration with system integrators specialising in automation, telemetry, and remote data acquisition. This data logger/transmitter is a self-sustaining wireless sensor hub designed for real-time monitoring in remote and harsh environments. It features a built-in solar-recharging battery system that powers a wide range of industrial sensors, including 4-20mA, Modbus, I2C, and Pulse. The device is equipped with multi-network cellular connectivity options, including LTE-M, NB-IoT, and GSM, along with GPS positioning for accurate location-based data collection. The rugged, weather-resistant design ensures reliable, long-term operation without frequent maintenance. The device supports seamless plug-and-play deployment, enabling effortless integration into existing systems for industries requiring data on temperature, pressure, humidity, water levels, and more. The Ideal collaboration partners include:  Sensor manufacturers: Integrating with specialized sensors for various industrial applications. Telecommunications providers: Expanding IoT network coverage for better connectivity in remote locations. Energy companies: For monitoring remote pipelines, solar farms, or oil fields. Environmental monitoring agencies: Tracking climate data, water levels, and air quality in isolated regions. Agriculture and smart farming firms: Enabling precision farming with real-time environmental data. With this data logger/transmitter, industries can remotely monitor critical data, ensuring operational efficiency and reducing the need for manual inspections or costly maintenance. Environmental Monitoring Air Quality Control: Measure pollution levels in urban or industrial zones. Flood Detection: Monitor water levels in rivers or reservoirs to provide early flood warnings. Agriculture & Smart Farming Precision Agriculture: Monitor soil moisture, weather conditions, and irrigation systems to optimize crop yield. Livestock Management: Track environmental conditions affecting livestock health. Infrastructure Management Structural Health Monitoring: Track vibration or stress on bridges, buildings, and roads. Smart Cities: Enable remote management of utilities, street lighting, and waste management systems. Utilities and Energy Remote Energy Monitoring: Manage solar farms, wind turbines, or hydropower plants with real-time data. Water Utilities: Detect leaks or monitor water quality in reservoirs and pipelines. Oil & Gas Pipeline Monitoring: Track pressure, flow rates, and potential leaks in remote pipelines. Wellhead Monitoring: Gather data on well conditions, reducing the need for manual inspections. The global IoT market is projected to reach $1.4 trillion by 2027, with significant growth in industrial IoT driven by the demand for remote monitoring in sectors such as oil & gas, agriculture, utilities, and smart cities. Additionally, the industrial sensors market is expected to grow to $31 billion by 2028, reflecting strong opportunities for innovative solutions. Self-Sustaining Operation: Unlike traditional systems that require frequent battery changes or external power sources, the device is solar-recharging battery ensures long-term, maintenance-free operation, reducing downtime and labor costs. Affordable for Mass Deployment: The device is designed to be cost-effective for large-scale implementations. Its low-maintenance, plug-and-play nature significantly lowers installation and upkeep expenses, making it ideal for mass deployment across industries. Wide Sensor Compatibility: Supporting a range of industrial sensors (4-20mA, Modbus, I2C, Pulse), the device is adaptable to multiple applications without requiring expensive custom solutions, making it more versatile and budget-friendly than many specialised systems. Compact and Durable Design: The device is small, rugged form factor makes it easy to deploy in tight or remote spaces, while its durable build ensures long-lasting performance even in harsh environments, minimising the need for maintenance or replacements. Global Connectivity: With LTE-M, NB IoT, and GSM connectivity, it ensures real-time data transmission even in remote areas, where traditional systems often struggle to maintain reliable communication. Solar-Powered Sensor, Remote Monitoring, GPS-Enabled, Real-Time Data Transmission, Cellular connectivity (LTE-M, NB IoT, GSM), Industrial Sensors (4-20mA, ModBus, I2C, Pulse) Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Internet of Things, Wireless Technology, Smart Cities, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems
Cross Platform Web-Based Remote Monitoring and Control Solution
This software platform is a revolutionary remote monitoring and control system designed to address several critical challenges faced by various industries. Problem Solved:  Centralized Monitoring: Many customers struggle with the lack of a unified platform for real-time monitoring of devices, leading to reliance on manual interventions and multiple scattered tools. The software consolidates the management of IoT devices across diverse locations into a single interface, streamlining operations.                        Data Analysis Challenges: Businesses often find it difficult to extract meaningful insights from collected data due to time-consuming manual analysis. The software automates this process, enabling users to interpret trends and identify potential issues effortlessly.  Data Visualization and Alerts: Users frequently lack intuitive interfaces for visualizing device data or receiving timely notifications. The software provides customizable dashboards and configurable alerts, allowing proactive management of potential problems. Target Market: The software platform caters to a wide range of sectors including facility management (monitoring HVAC, lighting, energy consumption), industrial operations (predictive maintenance), agriculture (environmental monitoring), and smart cities (traffic flow and air quality). Market Need: The technology addresses a significant gap in the marketplace by offering an integrated solution that enhances efficiency, reduces operational costs, and improves decision-making through advanced data visualization and automation. This software positions as a valuable asset for organizations seeking to optimize their monitoring processes and resource management. The technology owner is seeking collaboration with system integrators, facility management teams, IoT companies, and startups. The software platform boasts several key technical features that enhance its functionality and usability in remote monitoring and control applications. Cross-Platform Scalable Web Service: Built on Microsoft .NET 7, it operates seamlessly on Windows, Linux, and Raspberry Pi platforms. It has been successfully deployed in various environments, including Amazon Cloud and local servers, showcasing its flexibility and scalability for different applications. Logging and Message Relay: Efficiently manages IoT devices by collecting real-time data via HTTPS RESTful API. It performs real-time analysis and publishes results to users through secure WebSocket connections while relaying user commands to devices via MQTT. Customizable Data Analysis: Users can perform mathematical functions and time series calculations directly through a web interface, allowing tailored data analysis based on specific needs. Customizable Dashboards: Administrators can create user-specific dashboards that cater to individual or group requirements, enhancing user experience and operational efficiency. Email and Telegram Alerts: The software enables users to configure alerts based on various events, with customizable messages that can include specific device attributes and timestamps. External Interface Capability: The system integrates with higher-level software installations and Building Management Systems (BMS) via BACnet protocols, facilitating centralized monitoring across multiple sites and enabling comprehensive data analysis for optimization. These features collectively position this software platform as a versatile solution for diverse industries, enhancing monitoring capabilities while simplifying user interaction with IoT systems. The technology can be deployed across various industries, offering diverse applications that enhance monitoring and control capabilities. Industries and Applications: 1.   Facility Management: HVAC systems for optimal climate control. Lighting systems to improve energy efficiency. Energy consumption tracking to reduce costs. Fire safety and security systems for enhanced safety. 2.    Industrial Operations: Manufacturers can utilize the software for: Machine monitoring and predictive maintenance to prevent downtime. Process control and optimization for improved productivity. Real-time data analysis to ensure quality control. 3.    Agriculture: Farmers can apply the software for: Environmental monitoring (temperature, humidity, soil moisture). Irrigation control to optimize water usage. Livestock monitoring for better management. 4.    Building Automation: With BACnet integration, the software facilitates: Centralized control of building systems (HVAC, lighting, security). Real-time visualization of energy inefficiencies. Automated alerts for equipment malfunctions. 5.    Smart Manufacturing: The technology supports: Predictive maintenance of production machines. Process data analysis to enhance quality control. 6.    Additional Potential Users: Data centers for critical infrastructure monitoring. Renewable energy management for solar panels and wind turbines. Smart cities for traffic flow and air quality monitoring. Marketable Products Based on this technology, products could include integrated monitoring solutions, customizable dashboards, and automated alert systems tailored for specific industry needs, enhancing operational efficiency and decision-making capabilities. The software platform advances current remote monitoring and control systems with a UVP that addresses key limitations comprehensively. By combining ease of use with advanced features, it enhances operational efficiency across multiple industries and overcomes the shortcomings of existing solutions—such as fragmentation, limited flexibility, and high complexity—positioning itself as an effective, scalable choice. It improves upon current technologies: Unified Platform: Unlike existing solutions that require managing disparate systems for data acquisition, analysis, and alerting, the software provides a centralized platform, simplifying workflows and enhancing efficiency. Flexibility: The software supports various industrial communication protocols, allowing seamless integration with a wide range of devices and systems. This adaptability makes it suitable for diverse applications, from building automation to industrial monitoring. Scalability: The technology is designed to operate across different platforms, including Windows, Linux, and Raspberry Pi. This versatility enables deployments from small setups to extensive building automation systems without compromising performance. Customization: Users can create tailored dashboards and configure alerts based on specific requirements. This level of customization empowers users to proactively address issues and enhances overall operational efficiency. Ease of Use: With a user-friendly interface, the software is accessible to users with varying technical expertise, contrasting sharply with complex enterprise-grade IoT platforms that often require specialized knowledge. IOT, Remote Monitoring and Control Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Internet of Things, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems