CN110730234A - Electrical fire monitoring system and intelligent early warning analysis method thereof - Google Patents
Electrical fire monitoring system and intelligent early warning analysis method thereof Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The invention discloses an electrical fire monitoring system and an intelligent early warning analysis method thereof, wherein the electrical fire monitoring system comprises a comprehensive monitoring module, a data communication module, a main control module, a data cloud server, a remote monitoring center, a monitoring center interface and an intelligent early warning analysis module; the intelligent early warning analysis module is additionally arranged, the comprehensive monitoring module continuously acquires the running state information of the main machine of the electric fire, the acquisition time point, the residual current of each monitoring loop and various information of loop characteristic identification, and the comprehensive monitoring module acquires and caches the time and residual current value of each monitoring loop: l (T1, V1), L (T2, V2), L (T3, V3) …, L (Tn, Vn); the intelligent early warning analysis module reads the latest acquired residual current value R (Ti, Vi) of each sensor node in sequence, compares the time before and after acquisition, judges that the time is invalid if R (Ti) is less than or equal to L (Ti), otherwise, judges that the time is valid, so that the acquired data has more authenticity, and avoids errors.
Description
Technical Field
The invention relates to an electrical fire monitoring system and an intelligent early warning analysis method thereof.
Background
With the increasing of the urbanization level of China, the increasing of the matching construction of rail transit, power grid and the like, the social fire safety awareness, the monitoring strength of intelligent fire protection and the market demand are also continuously improved, particularly after the release of the directive suggestion about the comprehensive promotion of the intelligent fire protection construction by the fire department of public security department of 2017, the intelligent fire protection system becomes the development trend of the field, the fire protection industry of China will continue to grow rapidly in the coming years, but the same kind of products in the market at present have the problems of low monitoring level, untimely prevention and control, inaccurate alarm, no information sharing and the like, and the practical problems faced by operation and maintenance personnel in the field still have defects.
Disclosure of Invention
Aiming at the defects of the prior art, the invention solves the problems that: the electric fire monitoring system has a positioning function, is accurate in alarm and can judge whether the common zero problem exists and the intelligent early warning analysis method thereof are provided.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
an electrical fire monitoring system comprises a comprehensive monitoring module, a data communication module, a main control module, a data cloud server, a remote monitoring center, a monitoring center interface and an intelligent early warning analysis module; the comprehensive monitoring module uploads various kinds of information of the collected monitoring data, the collected time point and the loop characteristic identification to a cloud remote monitoring center through a data communication module; the main control module located at the cloud end performs centralized storage and task scheduling on various information uploaded by the comprehensive monitoring module, outputs the information to a monitoring center interface, realizes centralized comprehensive monitoring on the on-site electric fire host, and simultaneously stores the analyzed data into a cloud platform database; the intelligent early warning analysis module is used for generating an accurate electric fire early warning report which is accurate in positioning and early warning and has the problem of whether the main and standby circuits are zero or not.
Furthermore, the comprehensive monitoring module is deployed on the site, is connected with the electric fire monitoring host and continuously acquires the running state information of the electric fire host and the residual current and temperature parameters of each monitoring loop.
Further, the loop characteristic identification comprises an acquisition point ID, an electrical fire monitoring host ID, an electrical fire detector ID, a monitoring loop ID and a monitoring loop category.
Furthermore, the data communication module is connected with the mobile 4G module or the local network, uploads the monitoring signals acquired by the comprehensive monitoring module to a cloud remote monitoring center, and adopts an MQTT protocol based on a distributed system and Apache Apollo to ensure the real-time performance and the safety of remote data transmission.
Further, the system also comprises a history statistic module; the historical statistical module displays the historical statistical functions of different time periods of days, weeks, months and years of residual current and temperature of the specified loops of all the networked user electrical fire monitoring hosts in a chart mode, and then judges the early warning functions of future electric leakage and temperature conversion according to long-time trends.
Further, the data cloud Server is a main Server of the system, is deployed at the cloud end, and provides a database, a data cache and a Web system, and the cloud Server adopts a Windows Server 2008 operating system.
Further, the monitoring center interface is a cloud platform-based WEB browser, a desktop application, a mobile phone APP and a WeChat applet.
An intelligent early warning analysis method of an electrical fire monitoring system comprises the following steps:
s1, information acquisition: continuously acquiring running state information of an electrical fire host, acquiring time points, residual current of each monitoring loop and various information of loop feature identification by using a comprehensive monitoring module;
s2, judging the validity of time: the electric fire detector is provided with n sensor nodes, and the time and the residual current value of each monitoring loop are collected and cached through the comprehensive monitoring module: l (T1, V1), L (T2, V2), L (T3, V3) …, L (Tn, Vn); after current collection, the intelligent early warning analysis module sequentially reads the latest collected residual current values R (Ti, Vi) of each sensor node, compares the time before and after collection, and judges that the time is invalid if R (Ti) is less than or equal to L (Ti), otherwise, the time is valid; r (Ti) represents the latest acquisition time point, R (Ti, Vi) represents the latest acquisition result of the sensor node i, and the latest acquisition result comprises time data and residual current data, wherein i is more than 0 and less than or equal to n;
s3, residual current alarm judgment: the intelligent early warning analysis module presets a level 1 alarm threshold and a level 2 alarm threshold, if the time is effective in the judgment, the residual current value acquired this time is called to be compared with the alarm threshold, and if the residual current value exceeds the alarm threshold, different alarms are generated according to the thresholds of different levels; caching and recording the time and the residual current value acquired by each monitoring loop for comparison at the next time;
s4, judging the problem of zero total loop: if the corresponding main/standby loops exist and the current leakage values of the main/standby loops exceed the alarm threshold value and an alarm is generated, the intelligent early warning analysis module is used for calculating the leakage point difference value of the main/standby loops, if the monitored leakage value deviation value of the main/standby loops is less than or equal to 100mA, the problem source of the residual current alarm is determined to be a zero-sharing problem, then the loop characteristic identification of the monitored loop is called to generate an early warning analysis report with a positioning function, a clear alarm type and a clear alarm problem type, and the alarm in the step S3 is further filtered and extracted.
The invention has the advantages of
1. The invention utilizes the comprehensive monitoring module to continuously collect the running state information of the main machine of the electrical fire disaster, the collecting time point, the residual current of each monitoring loop and various information of loop characteristic identification, matches and corresponds the collected time point and the collected residual current, and collects and caches the time and residual current value of each monitoring loop through the comprehensive monitoring module: l (T1, V1), L (T2, V2), L (T3, V3) …, L (Tn, Vn); after current collection, the intelligent early warning analysis module sequentially reads the latest collected residual current value R (Ti, Vi) of each sensor node, time before and after collection is compared, if R (Ti) is less than or equal to L (Ti), time is judged to be invalid, otherwise, time is valid, so that collected data have authenticity, and mistakes are avoided.
2. The intelligent early warning analysis module is additionally arranged, the comprehensive monitoring module is utilized to continuously acquire the running state information of the electric fire host, the residual current of each monitoring loop and various information of loop characteristic marks, the purpose of judging whether the problem of the zero sharing of the loops is achieved according to the analysis and comparison of the residual current, and meanwhile, the accurate positioning of the alarm position can be carried out, for example, the problem that the zero sharing occurs in the loop 2 of the detector 1 and the loop 2 of the detector 2 of the XX line XX station electric fire host is not achieved! The leakage values of the two loops respectively reach 552mA/580mA, and both exceed a threshold value of 500 mA! ".
3. The invention provides an electrical fire remote monitoring system based on a cloud platform, which adopts the cloud platform and the Internet of things technology, continuously detects the operation states and alarm information of a user field electrical fire monitoring host and a detector, residual current and temperature data of each monitoring loop on the field, combines a strategy model and circuit characteristics, and comprehensively analyzes the electric leakage abnormal state of an electric circuit, realizes the early warning of the hidden danger of the electrical fire, the active intervention of the foreboding of the electrical fire and the electric leakage trend analysis of a user, finds the potential safety hazard existing in the electrical circuit and electric equipment in time, provides information support for operation, maintenance and management departments, constructs a platform, intelligent and integrated electrical fire remote monitoring platform on the basis, and effectively improves the management level of electrical safety monitoring.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The present invention will be described in further detail below.
As shown in fig. 1, an electrical fire monitoring system includes a comprehensive monitoring module 1, a data communication module 2, a main control module 4, a data cloud server 5, a remote monitoring center 3, a monitoring center interface 6, and an intelligent early warning analysis module 7; the comprehensive monitoring module 1 uploads various kinds of information of the collected monitoring data, the collected time point and the loop characteristic identification to a cloud remote monitoring center 3 through a data communication module 2; the main control module 4 located at the cloud end performs centralized storage and task scheduling on various information uploaded by the comprehensive monitoring module 1, outputs the information to the monitoring center interface 6, realizes centralized comprehensive monitoring on the on-site electric fire host, and simultaneously stores the analyzed data into the cloud platform database; the intelligent early warning analysis module 7 uses the collected various information to generate an accurate electric fire early warning report which has accurate positioning, accurate early warning and whether the problem of zero sharing of the main loop and the standby loop exists.
As shown in fig. 1, further, the integrated monitoring module 1 is deployed on the site, connected to the electrical fire monitoring host and continuously collects the operating state information of the electrical fire monitoring host, and the residual current and temperature parameters of each monitoring loop. Further, the loop characteristic identification comprises an acquisition point ID, an electrical fire monitoring host ID, an electrical fire detector ID, a monitoring loop ID and a monitoring loop category. Further, the data communication module 2 is connected with the mobile 4G module or the local network, uploads the monitoring signal acquired by the comprehensive monitoring module to a cloud-side remote monitoring center, and adopts an MQTT protocol based on a distributed system and Apache Apollo to ensure the real-time performance and the safety of remote data transmission. Further, the system also comprises a history statistical module 8; the historical statistical module displays the historical statistical functions of different time periods of days, weeks, months and years of residual current and temperature of the specified loops of all the networked user electrical fire monitoring hosts in a chart mode, and then judges the early warning functions of future electric leakage and temperature conversion according to long-time trends. Further, the data cloud Server 5 is a main Server of the system, is deployed at the cloud end, and provides a database, a data cache and a Web system, and the cloud Server adopts a Windows Server 2008 operating system. Further, the monitoring center interface 6 is a WEB browser, a desktop application, a mobile phone APP, and a wechat applet based on a cloud platform.
As shown in fig. 1, an intelligent early warning analysis method for an electrical fire monitoring system includes the following steps:
s1, information acquisition: the comprehensive monitoring module 1 is used for continuously acquiring the running state information of the electrical fire host, the acquisition time point, the residual current of each monitoring loop and various information of loop characteristic identification.
S2, judging the validity of time: the electric fire detector is provided with n sensor nodes, and the time and the residual current value of each monitoring loop are collected and cached by the comprehensive monitoring module 1: l (T1, V1), L (T2, V2), L (T3, V3) …, L (Tn, Vn); after current collection, the intelligent early warning analysis module 7 sequentially reads the latest collected residual current values R (Ti, Vi) of each sensor node, compares the time before and after collection, and judges that the time is invalid if R (Ti) is less than or equal to L (Ti), otherwise, the time is valid; r (Ti) represents the latest acquisition time point, R (Ti, Vi) represents the latest acquisition result of the sensor node i, including time data and residual current data, wherein 0< i ≦ n.
S3, residual current alarm judgment: the intelligent early warning analysis module 7 presets a 1-level alarm threshold and a 2-level alarm threshold, if the time is effective in the judgment, the residual current value acquired this time is called to be compared with the alarm threshold, and if the residual current value exceeds the alarm threshold, different alarms are generated according to the thresholds of different levels; and caching and recording the time and the residual current value acquired by each monitoring loop for comparison next time.
S4, judging the problem of zero total loop: if the corresponding main/standby loops exist and the current leakage values of the main/standby loops exceed the alarm threshold value and an alarm is generated, the intelligent early warning analysis module 7 is used for calculating the leakage point difference value of the main/standby loops, if the monitored leakage value deviation value of the main/standby loops is less than or equal to 100mA, the problem source of the residual current alarm is determined to be a zero-common problem, then the loop characteristic identification of the monitored loop is called to generate an early warning analysis report with a positioning function, a clear alarm type and a clear alarm problem type, and the alarm in the step S3 is further filtered and extracted.
The intelligent early warning analysis module 7 is additionally arranged, the comprehensive monitoring module is utilized to continuously acquire the running state information of the electric fire host and various information of residual current, sampling time and loop characteristic identification of each monitoring loop, the purpose of judging whether the problem of the zero sharing of the loops is achieved according to the analysis and comparison of the residual current, and meanwhile, the accurate positioning of the alarm position can be carried out, for example, the problem that the zero sharing occurs in the detector 1 loop 2 and the detector 2 loop 2 of the XX line XX station electric fire host is not achieved! The leakage values of the two loops respectively reach 552mA/580mA, and both exceed a threshold value of 500 mA! ". The invention provides an electrical fire remote monitoring system based on a cloud platform, which adopts the cloud platform and the Internet of things technology, continuously detects the operation states and alarm information of a user field electrical fire monitoring host and a detector, residual current and temperature data of each monitoring loop on the field, combines a strategy model and circuit characteristics, and comprehensively analyzes the electric leakage abnormal state of an electric circuit, realizes the early warning of the hidden danger of the electrical fire, the active intervention of the foreboding of the electrical fire and the electric leakage trend analysis of a user, finds the potential safety hazard existing in the electrical circuit and electric equipment in time, provides information support for operation, maintenance and management departments, constructs a platform, intelligent and integrated electrical fire remote monitoring platform on the basis, and effectively improves the management level of electrical safety monitoring.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. An electrical fire monitoring system is characterized by comprising a comprehensive monitoring module, a data communication module, a main control module, a data cloud server, a remote monitoring center, a monitoring center interface and an intelligent early warning analysis module; the comprehensive monitoring module uploads various kinds of information of the collected monitoring data, the collected time point and the loop characteristic identification to a cloud remote monitoring center through a data communication module; the main control module located at the cloud end performs centralized storage and task scheduling on various information uploaded by the comprehensive monitoring module, outputs the information to a monitoring center interface, realizes centralized comprehensive monitoring on the on-site electric fire host, and simultaneously stores the analyzed data into a cloud platform database; the intelligent early warning analysis module is used for generating an accurate electric fire early warning report which is accurate in positioning and early warning and has the problem of whether the main and standby circuits are zero or not.
2. The electrical fire monitoring system of claim 1, wherein the integrated monitoring module is deployed in the field, connected to the electrical fire monitoring host and continuously collects the operational status information of the electrical fire monitoring host, and the residual current and temperature parameters of each monitoring loop.
3. The electrical fire monitoring system of claim 1, wherein the loop signature includes a collection point ID, an electrical fire monitoring host ID, an electrical fire detector ID, a monitoring loop category.
4. The electrical fire monitoring system of claim 1, wherein the data communication module is connected to the mobile 4G module or the local network, and uploads the monitoring signal collected by the integrated monitoring module to a cloud-based remote monitoring center, and the MQTT protocol based on the distributed system and Apache Apollo is used to ensure real-time performance and security of remote data transmission.
5. An electrical fire monitoring system according to claim 1, further comprising a historical statistics module; the historical statistical module displays the historical statistical functions of different time periods of days, weeks, months and years of residual current and temperature of the specified loops of all the networked user electrical fire monitoring hosts in a chart mode, and then judges the early warning functions of future electric leakage and temperature conversion according to long-time trends.
6. The electrical fire monitoring system of claim 1, wherein the data cloud server is a main server of the system, is deployed in a cloud, and provides a database, a data cache, and a Web system, and the cloud server adopts a windows server 2008 operating system.
7. The electrical fire monitoring system of claim 1, wherein the monitoring center interface is a cloud platform based WEB browser, a desktop application, a mobile phone APP, a wechat applet.
8. An intelligent early warning analysis method of an electrical fire monitoring system is characterized by comprising the following steps:
s1, information acquisition: continuously acquiring running state information of an electrical fire host, acquiring time points, residual current of each monitoring loop and various information of loop feature identification by using a comprehensive monitoring module;
s2, judging the validity of time: the electric fire detector is provided with n sensor nodes, and the time and the residual current value of each monitoring loop are collected and cached through the comprehensive monitoring module: l (T1, V1), L (T2, V2), L (T3, V3) …, L (Tn, Vn); after current collection, the intelligent early warning analysis module sequentially reads the latest collected residual current values R (Ti, Vi) of each sensor node, compares the time before and after collection, and judges that the time is invalid if R (Ti) is less than or equal to L (Ti), otherwise, the time is valid; r (Ti) represents the latest acquisition time point, R (Ti, Vi) represents the latest acquisition result of the sensor node i, and the latest acquisition result comprises time data and residual current data, wherein i is more than 0 and less than or equal to n;
s3, residual current alarm judgment: the intelligent early warning analysis module presets a level 1 alarm threshold and a level 2 alarm threshold, if the time is effective in the judgment, the residual current value acquired this time is called to be compared with the alarm threshold, and if the residual current value exceeds the alarm threshold, different alarms are generated according to the thresholds of different levels; caching and recording the time and the residual current value acquired by each monitoring loop for comparison at the next time;
s4, judging the problem of zero total loop: if the corresponding main/standby loops exist and the current leakage values of the main/standby loops exceed the alarm threshold value and an alarm is generated, the intelligent early warning analysis module is used for calculating the leakage point difference value of the main/standby loops, if the monitored leakage value deviation value of the main/standby loops is less than or equal to 100mA, the problem source of the residual current alarm is determined to be a zero-sharing problem, then the loop characteristic identification of the monitored loop is called to generate an early warning analysis report with a positioning function, a clear alarm type and a clear alarm problem type, and the alarm in the step S3 is further filtered and extracted.
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| CN113012420A (en) * | 2020-09-27 | 2021-06-22 | 张家港市恒拓科技服务合伙企业(有限合伙) | Electric early warning intelligent power utilization method, system and medium based on energy internet |
| CN113720387A (en) * | 2021-08-30 | 2021-11-30 | 中防通用河北电信技术有限公司 | Electrical fire early warning method |
| CN113724465A (en) * | 2021-08-30 | 2021-11-30 | 中防通用河北电信技术有限公司 | Electrical fire early warning method |
| CN114301173A (en) * | 2021-12-21 | 2022-04-08 | 苏州华天国科电力科技有限公司 | Intelligent safety power utilization management and control system based on miniature management terminal |
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