Acquire
Devices measure the environment and attach time, location and health metadata. Local alarms remain available even if the wider network is interrupted.
Connected operations
IoT
Connected sensing links field instruments, fixed monitors and command platforms into one operational network. HT-Nova applies IoT and cloud or local computing through HT-Vision to make alarms, measurements and device health available where decisions are made.
Introduction
The Internet of Things (IoT) is a network centered on and built upon the Internet, enabling the interconnection of physical objects for information exchange and communication. IoT integrates technologies such as smart sensing, identification, and ubiquitous computing, and finds extensive application in network convergence, serving as an extension and application expansion of the Internet.
Cloud computing is a data service model based on Internet technology, characterized by virtualization, universality, high scalability, high reliability, and on-demand services. By distributing data storage and computing to a shared pool of computing resources in the cloud, end users require minimal management efforts to remotely access or store massive amounts of data from anywhere, reducing terminal management and maintenance costs, and improving the efficiency of data interaction and sharing, as well as user experience.
IoT and cloud or local computing are applied to the design and construction of radiological, chemical and biological monitoring networks, organically connecting various detection instruments used in the front end with the backend monitoring and command platform. With HT-Vision system as the core, a series of integrated comprehensive monitoring and command platforms compatible with conventional security precautions and nuclear and biochemical threat monitoring have been developed, suitable for different industries and scenarios. Some of these products have been deployed in important facilities and have been successfully validated.
Technical principleTalk to a technology expert
Turn distributed instruments into a managed sensing network.
Each instrument acquires a measurement and adds context such as time, location, device identity, calibration state and alarm quality. An edge gateway or device client normalises this information and sends it through an approved wired, cellular, radio or site network.
The receiving platform stores, visualises and correlates events across instruments. Rules can route an alarm to the relevant team, show the affected area, track acknowledgement and retain an operational record. Where supported, authorised commands and configuration can travel back to managed devices.
Connectivity is not the same as operational resilience. Local alarm behaviour, store-and-forward data, access control, encryption, software maintenance, clock synchronisation and data ownership must be designed so the monitoring function remains dependable during network degradation or cyber events.
Signal path
Move trusted measurements to the point of decision.
A connected monitoring system preserves context from the sensor edge to the control room and back through the response workflow.
Connect
Gateways transport authenticated data across an appropriate wired or wireless path. Buffering and retry logic preserve important records during temporary loss.
Contextualise
The platform combines measurements with site layout, device state and alarm rules. Operators see where an event occurred, how it is changing and which instruments support it.
Coordinate
Notifications, acknowledgement and escalation connect the technical event to the responsible team. The shared record supports response, maintenance and later analysis.
Engineering considerations
The network is part of the safety function.
Architecture should be selected around availability, cybersecurity, interoperability and the operational consequences of delayed or missing data.
Resilient operation
Edge devices need defined behaviour when links or central services are unavailable. Local alarms, buffering, redundancy and recovery priorities prevent connectivity from becoming a single point of failure.
Cybersecurity
Device identity, least-privilege access, encrypted transport, signed updates and audit records protect both data and control paths. Security maintenance continues throughout the deployed lifecycle.
Data governance
Common schemas, timestamps, retention rules and ownership make information usable across products and organisations. Interfaces should preserve source, units and quality rather than flattening every reading into an alarm.
Key information
Technology Features
Real-time monitoring and remote control
IoT devices can monitor environmental parameters or device status in real-time and transmit data over the Internet to remote servers or applications, allowing authorised users to monitor or control supported functions when approved connectivity and security controls are available. This real-time monitoring and remote control capability enhances the intelligence and convenience of devices, providing users with a more flexible management approach
Communication and collaboration between multiple devices
IoT devices can communicate and collaborate with each other, enabling data exchange and sharing between devices, thereby improving the overall system intelligence and efficiency. Through communication between multiple devices, more complex task allocation and execution can be achieved, enhancing the overall performance and functionality of the system
Big data analysis and optimization
IoT devices collect large amounts of data, which can be deeply analyzed and mined to discover patterns, optimize processes, and improve efficiency. Through data analysis, users can better understand device operation, predict device failures, optimize resource utilization, and improve production efficiency
Automation and intelligence
IoT devices can achieve automation and intelligent decision-making through preset rules or artificial intelligence algorithms. For example, smart home devices can automatically adjust temperature and lighting based on user habits, industrial equipment can automatically adjust production parameters based on real-time data, achieving intelligent production management
Remote diagnosis and maintenance
IoT devices can transmit device status and operating data to remote servers in real-time, allowing device failures to be detected and diagnosed promptly. Based on remote diagnostic results, maintenance personnel can provide remote guidance or promptly go to the site for repairs, reducing the time and cost of troubleshooting
Talk to an expert
Discuss IoT with our technical team.
Tell us about your environment, target substances and operational requirements. We’ll help map the right path.
Start a conversation