Electrical Fire Monitoring System Oriented To IoT

Over the years,the number of electrical fires in China has accounted for the largest proportion of the total number of fires,causing huge losses to the country and society.For this reason,the government attaches great importance to electrical fire control work,and encourages the use of various technologies to prevent the occurrence of electrical fires.Electrical fire monitoring system can detect fire hazards in time and play an important role in electric fires prevention.However,the current mainstream electrical fire monitoring system still has many shortcomings in deployment and use.The increasingly mature Io T(Internet of Thing)technology provides a good opportunity to solve these problems.Through the investigation and research of the development status of electrical fire monitoring systems at home and abroad,After summarizing its main problems,and extensively understanding the relevant improvement schemes and future development trends,this parper paper discusses the related technologies and selection according to the needs,and finally gives a practical and feasible design scheme of the electrical fire monitoring system for Io T,aiming at improving the networking level of the system,reducing the difficulty of deployment and the cost of use.Based on the design scheme,the electrical fire monitoring system realized in this paper consists of two parts: multi-sensor combined independent electrical fire monitoring detector and monitoring platform.Among them,the detector uses A9G GPRS module and SDK development mode to program the module directly,which saves the hardware cost to the greatest extent under the premise of realizing the basic functions of the detector and increasing the remote wireless communication capability of the detector.The detector supports MQTT,Co AP,and HTTP three kinds of IoT communication protocols,providing users with flexible choices,Normally,the detector will detect leakage current,temperature and other information according to the user set time to report to the monitoring platform,when the detector detects a fire risk and alarms,it will immediately complete a data report.The monitoring platform is based on the Spring Boot framework and uses the Spring Cloud toolset to build a distributed system based on the microservices.It completes the functions of communication with the detector,data persistence,management and other functions.The platform provides related services to the user through two clients including browser and Android App and provides an alarm information notification service.The monitoring platform also provides alarm notification service.When the monitoring platform receives the alarm information from the detector,in addition to prompting the corresponding prompts on the two clients,the user will be notified in time by SMS and email.Finally,the function and performance of each part of the system are tested.The detector has completed self-detection test,detection accuracy and alarm function test,communication function test.The results show that the basic function of the detector meets the requirements of fire protection standards,and the communication with the monitoring platform is stable.The detector's sampling of leakage current achieves high precision,and the relative error percentage is not more than 1.6%.When leakage current or temperature information is detected beyond the set threshold,the detector can send out sound and light alarm signals within 2 seconds and report to the monitoring platform immediately.The function test of the monitoring platform found no abnormality.Then the 550 is concurrent,the latest reported data interface of the acquisition probe provided by the firemonitor-device service instance of the three single-core nodes has a high success rate and a fast response time.Its throughput is 600 TPS and 90% of transaction time is less than 500 ms.In large-scale practical applications,this conclusion can be used as a reference to increase or decrease cluster nodes.