Fire Protection Equipment IoT Monitoring System
The Fire Protection Equipment IoT (Internet of Things) monitoring system achieves real-time online monitoring of the operating status of fire protection systems by installing various sensors and intelligent terminals on fire protection equipment. The system architecture is divided into three layers: Perception layer — sensors are installed on key fire protection equipment, including fire pump vibration sensors (monitoring pump operating vibration severity, normal value not exceeding 4.5mm/s), fire pump temperature sensors (monitoring bearing temperature, not exceeding ambient temperature +40°C), fire water tank level sensors (ultrasonic or hydrostatic type, accuracy ±1%FS), sprinkler network pressure sensors (range 0-2.5MPa, accuracy class 0.5), fire fan current sensors (monitoring fan operating current to determine load status), fire hydrant water pressure sensors (monitoring the pressure at the most unfavorable point of the network, normal value 0.2-0.4MPa), fire door status sensors (door magnetic switches monitoring the open/closed status of fire doors), etc. Network layer — data collected by the perception layer is transmitted to a cloud platform or local server via LoRaWAN, NB-IoT, or 4G/5G wireless networks. Application layer — a smart fire protection management platform deployed on the cloud or locally, enabling real-time display of equipment status (digital cockpit), alarm threshold setting (automatic alarm for abnormal parameters), historical data analysis and trend prediction, equipment health assessment, and other functions. Acceptance requirements: The IoT monitoring system shall provide sensor calibration reports (within validity period); the system shall achieve a data collection cycle of no more than 30s, alarm response time of no more than 60s, data storage of no less than 180 days, and system availability of no less than 99.5%.
Intelligent Upgrade Solution for Fire Control Room
The intelligent upgrade of the fire control room is an important means of improving fire protection system response speed and decision-making accuracy. The intelligent upgrade solution includes the following core functional modules: AI-assisted decision-making system — based on deep learning algorithms, it intelligently analyzes fire alarm signals to distinguish real fire signals from false alarm signals (e.g., distinguishing water vapor interference from real smoke signals), reducing the false alarm rate by up to 60-80%. By analyzing the time-series characteristics of detector alarms, spatial correlation, and environmental parameters (temperature change rate, gas concentration changes, etc.), the system automatically determines fire probability and pushes handling recommendations to duty personnel. Intelligent video analysis system — using existing security surveillance cameras (or adding dedicated fire protection cameras), it identifies flame features (recognition accuracy not less than 95%) and smoke features (recognition accuracy not less than 90%) through video AI analysis, as an auxiliary means of early fire warning. The video analysis system can detect flames or smoke 5-30min before detector alarms (e.g., in kitchen areas, garbage rooms, and other locations prone to incipient fires). Intelligent voice interaction system — introducing an intelligent voice assistant, duty personnel can query equipment status, call up surveillance video images of alarm locations, and start fire broadcasting via voice commands, improving operational efficiency. Fire control room intelligent integration platform — integrating multiple subsystems such as the fire alarm system, security video surveillance system, access control system, and fire protection equipment monitoring system into a unified platform (unified login, unified operation interface, unified data reports), eliminating information silos. Intelligent duty management system — through face recognition attendance, intelligent scheduling, and online training systems, improving the standardization and professionalism of fire control room duty management.
Automated Operation and Maintenance Management Platform
The fire protection system automated operation and maintenance management platform is an important tool for achieving full life-cycle management of fire protection facilities. The platform's core functional modules include: Equipment asset management—establish electronic ledgers for all fire protection equipment (including equipment code, model and specifications, installation location, manufacturer, commissioning date, warranty period, etc.), supporting quick query via QR code/electronic tag (scanning with a mobile phone allows viewing of complete equipment information and historical maintenance records). Inspection management—supports the creation of inspection plans (automatic scheduling of daily/weekly/monthly/quarterly/annual inspections); inspectors use mobile terminals (mobile APP or dedicated PDA) to check item by item according to standard inspection routes and inspection items and record data; inspection records are uploaded to the platform in real time (supporting auxiliary functions such as photo taking, code scanning, and GPS positioning). Fault repair request management—fire protection equipment faults can be reported with one click through the platform; the platform automatically dispatches orders to the maintenance unit (automatically tracking according to the response time requirements stipulated in the contract); after maintenance is completed, maintenance records and on-site photos are uploaded, and the platform records the entire process for closed-loop management. Spare parts management—establish a spare parts warehouse for fire protection equipment (spare part code, inventory quantity, safety stock, storage location, etc.); when spare parts inventory falls below safety stock, automatically remind for procurement. Equipment health assessment—comprehensively analyze equipment operation data (operating time, start-stop times, fault frequency, maintenance records, etc.), and use a multi-dimensional scoring model to score equipment health (full score of 100). Report analysis—automatically generate monthly/quarterly/annual fire protection equipment operation reports (key indicators such as equipment availability rate, fault rate, and timely repair rate), providing data-driven support for operation and maintenance decision-making.
Remote monitoring and inspection technology for fire protection systems
Remote monitoring and inspection technology enables fire protection management personnel to grasp the operating status of the fire protection system without being limited by time and location. The main technical solutions include: Fire protection facility remote monitoring system—connect the operating data of the hotel fire protection system to the urban fire protection remote monitoring system; according to the relevant guiding opinions of the Ministry of Emergency Management, Class I high-rise public buildings should gradually be connected to the urban fire protection remote monitoring platform. The remote monitoring system uploads in real time data such as fire alarm information, fire linkage equipment status, and fire water system operating parameters, enabling fire departments to remotely supervise the fire protection facilities of key units. UAV fire inspection—use UAVs equipped with infrared thermal imaging cameras and high-definition visible-light cameras to conduct regular inspections of exterior facade fire protection facilities of hotel buildings (outdoor fire hydrants, pump adapters, rooftop fire water tanks, rooftop smoke exhaust fans, exterior wall insulation systems, etc.) (once per quarter is recommended). UAV inspection can identify problems that are difficult to observe with the naked eye, such as detachment of exterior wall insulation layers, corrosion and damage of fire protection facilities, and abnormal operating conditions of rooftop equipment. Robot fire inspection—deploy rail-mounted inspection robots or wheeled inspection robots in important equipment rooms such as fire pump rooms, fire fan rooms, and power distribution rooms, equipped with temperature and humidity sensors, gas detection sensors, noise sensors, and visible-light/thermal imaging cameras, to achieve unmanned inspection of equipment rooms (2 times per shift is recommended, each completed in 20-30 min). Intelligent video surveillance fire linkage—link the video surveillance system with the fire alarm system; when a fire alarm occurs, automatically pop up surveillance video associated with the alarm area to assist duty personnel in quickly confirming the alarm situation.