CN110751814A - Electrical fire monitoring system for rail transit and early warning analysis method thereof - Google Patents
Electrical fire monitoring system for rail transit and early warning analysis method thereof Download PDFInfo
- Publication number
- CN110751814A CN110751814A CN201910980932.XA CN201910980932A CN110751814A CN 110751814 A CN110751814 A CN 110751814A CN 201910980932 A CN201910980932 A CN 201910980932A CN 110751814 A CN110751814 A CN 110751814A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- module
- electrical fire
- early warning
- loop
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- General Health & Medical Sciences (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Automation & Control Theory (AREA)
- Alarm Systems (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses an electrical fire monitoring system for rail transit and an early warning analysis method thereof, wherein the 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 a comprehensive early warning analysis module; the invention is additionally provided with the comprehensive early warning analysis module, continuously acquires the running state information of the main machine of the electric fire disaster, the residual current of each monitoring loop and various information of loop characteristic marks by utilizing the comprehensive monitoring module, achieves the aim of judging whether the loop is a zero-sharing problem or not according to the analysis and comparison of the residual current, and can accurately position the warning position.
Description
Technical Field
The invention relates to an electrical fire monitoring system for rail transit and an 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 for the rail transit and the early warning analysis method thereof have the advantages of positioning function, accurate alarm and capability of judging whether the common zero problem exists.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
an electrical fire monitoring system for rail transit 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 a comprehensive early warning analysis module; the comprehensive monitoring module uploads the collected monitoring data and various information of 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 comprehensive 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 early warning analysis method for an electrical fire monitoring system of rail transit comprises the following steps:
s1, information acquisition: continuously acquiring running state information of the electrical fire host, residual current of each monitoring loop and various information of loop feature identification by using the comprehensive monitoring module;
s2, residual current alarm judgment: the comprehensive early warning analysis module presets a level 1 alarm threshold and a level 2 alarm threshold, calls the residual current value acquired this time to compare with the alarm threshold, and generates different alarms according to the thresholds of different levels if the residual current value exceeds the alarm threshold;
s3, judging the problem of zero total loop: if the corresponding main/standby loops exist, the current leakage values of the main/standby loops exceed the alarm threshold value and an alarm is generated, and 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, and 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.
The invention has the advantages of
1. The invention adds a comprehensive early warning analysis module, continuously acquires the running state information of the electric fire host, the residual current of each monitoring loop and various information of loop characteristic marks by using the comprehensive monitoring module, achieves the purpose of judging whether the problem is that the loops are zero or not according to the analysis and comparison of the residual current, and can accurately position the warning position, for example, the problem that the detector 1 loop 2 and the detector 2 loop 2 of the XX line XX station electric fire host share zero is solved! The leakage values of the two loops respectively reach 552mA/580mA, and both exceed a threshold value of 500 mA! ".
2. 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 for rail transit 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 a comprehensive early warning analysis module 7; the comprehensive monitoring module 1 uploads the collected monitoring data and various types of information of 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 comprehensive early warning analysis module 7 uses the collected various information to generate an accurate electric fire early warning report which is accurate in positioning and 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 early warning analysis method for an electrical fire monitoring system for rail transit includes the following steps:
s1, information acquisition: and continuously acquiring the running state information of the main machine of the electrical fire disaster, the residual current of each monitoring loop and various information of loop characteristic marks by using the comprehensive monitoring module 1.
S2, residual current alarm judgment: the comprehensive early warning analysis module 7 presets a 1-level alarm threshold and a 2-level alarm threshold, calls the residual current value acquired this time to compare with the alarm threshold, and generates different alarms according to the thresholds of different levels if the residual current value exceeds the alarm threshold.
S3, judging the problem of zero total loop: if the corresponding main/standby loops exist, the current leakage values of the main/standby loops exceed the alarm threshold value and an alarm is generated, and 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, and 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. In the main/standby circuit described in this patent, the main circuit is a direct power supply circuit of the consumer, and the standby circuit is a circuit that is opposite to the main circuit and is also called an auxiliary circuit.
The invention is additionally provided with a comprehensive early warning analysis module, continuously collects 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 by using the comprehensive monitoring module, achieves the purpose of judging whether the problem is that the loop is zero or not according to the analysis and comparison of the residual current, and can accurately position the alarm position, for example, the problem that the detector 1 loop 2 and the detector 2 loop 2 of the XX line XX station electric fire host share zero is solved! 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 for rail transit 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 a comprehensive early warning analysis module; the comprehensive monitoring module uploads the collected monitoring data and various information of 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 comprehensive 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 for rail transit according to claim 1, wherein the integrated monitoring module is deployed on site, 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 for rail transit 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 for rail transit according to claim 1, wherein the data communication module is connected to a mobile 4G module or a local network, uploads monitoring signals acquired by the comprehensive monitoring module to a cloud-based remote monitoring center, and adopts an MQTT protocol based on a distributed system and Apache Apollo to ensure real-time and safety of remote data transmission.
5. An electrical fire monitoring system for rail transit as claimed in 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 for rail transit according to 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 for rail transit 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 early warning analysis method for an electrical fire monitoring system of rail transit is characterized by comprising the following steps:
s1, information acquisition: continuously acquiring running state information of the electrical fire host, residual current of each monitoring loop and various information of loop feature identification by using the comprehensive monitoring module;
s2, residual current alarm judgment: the comprehensive early warning analysis module presets a level 1 alarm threshold and a level 2 alarm threshold, calls the residual current value acquired this time to compare with the alarm threshold, and generates different alarms according to the thresholds of different levels if the residual current value exceeds the alarm threshold;
s3, judging the problem of zero total loop: if the corresponding main/standby loops exist, the current leakage values of the main/standby loops exceed the alarm threshold value and an alarm is generated, and 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, and 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910980932.XA CN110751814A (en) | 2019-10-16 | 2019-10-16 | Electrical fire monitoring system for rail transit and early warning analysis method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910980932.XA CN110751814A (en) | 2019-10-16 | 2019-10-16 | Electrical fire monitoring system for rail transit and early warning analysis method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110751814A true CN110751814A (en) | 2020-02-04 |
Family
ID=69278435
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910980932.XA Pending CN110751814A (en) | 2019-10-16 | 2019-10-16 | Electrical fire monitoring system for rail transit and early warning analysis method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110751814A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530582A (en) * | 2016-12-22 | 2017-03-22 | 国网山东省电力公司鄄城县供电公司 | Electrical fire monitoring device, system and method |
| TW201820284A (en) * | 2016-11-22 | 2018-06-01 | 頂石雲端股份有限公司 | Dynamic early-warning fire fighting device capable of reducing a probability of false alarms and increasing accuracy of predicting occurrence of fire situations |
| CN108964274A (en) * | 2018-07-17 | 2018-12-07 | 公安部沈阳消防研究所 | A kind of intelligent management system and control method of electrical safety |
| CN109188955A (en) * | 2018-08-15 | 2019-01-11 | 江苏安科瑞电器制造有限公司 | A kind of cloud remote supervisory and control(ling) equipment |
| CN208537658U (en) * | 2018-04-25 | 2019-02-22 | 杭州华春科技有限公司 | A kind of intelligent reminding anticreeping fire alarm system |
| CN109461278A (en) * | 2018-12-19 | 2019-03-12 | 杭州电子科技大学 | Intelligent electric fire monitoring system based on Internet of Things |
-
2019
- 2019-10-16 CN CN201910980932.XA patent/CN110751814A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201820284A (en) * | 2016-11-22 | 2018-06-01 | 頂石雲端股份有限公司 | Dynamic early-warning fire fighting device capable of reducing a probability of false alarms and increasing accuracy of predicting occurrence of fire situations |
| CN106530582A (en) * | 2016-12-22 | 2017-03-22 | 国网山东省电力公司鄄城县供电公司 | Electrical fire monitoring device, system and method |
| CN208537658U (en) * | 2018-04-25 | 2019-02-22 | 杭州华春科技有限公司 | A kind of intelligent reminding anticreeping fire alarm system |
| CN108964274A (en) * | 2018-07-17 | 2018-12-07 | 公安部沈阳消防研究所 | A kind of intelligent management system and control method of electrical safety |
| CN109188955A (en) * | 2018-08-15 | 2019-01-11 | 江苏安科瑞电器制造有限公司 | A kind of cloud remote supervisory and control(ling) equipment |
| CN109461278A (en) * | 2018-12-19 | 2019-03-12 | 杭州电子科技大学 | Intelligent electric fire monitoring system based on Internet of Things |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110728818A (en) | Electrical fire monitoring system based on cloud platform and early warning analysis method thereof | |
| CN110730234A (en) | Electrical fire monitoring system and intelligent early warning analysis method thereof | |
| CN108155719A (en) | For the intelligent cloud acquisition system and method for monitoring power distribution | |
| CN109110607A (en) | It is a kind of based on the elevator faults method for early warning remotely monitored | |
| CN110535238A (en) | A kind of transformer equipment intelligent monitor system and method | |
| CN210405371U (en) | Air compression intelligent operation and maintenance system based on Internet of things | |
| CN109240126A (en) | A kind of distributed application services monitoring system and method with simulated operation function | |
| CN110163535A (en) | A kind of energy management overall analysis system | |
| CN104931836A (en) | Power grid monitoring and early warning system | |
| CN110740179A (en) | fire safety monitoring system for rail transit | |
| CN204761165U (en) | Monitored control system is synthesized to rural power grid operation state | |
| CN110751814A (en) | Electrical fire monitoring system for rail transit and early warning analysis method thereof | |
| CN117092953A (en) | Production data acquisition management and control system based on industrial Internet of things | |
| CN204360202U (en) | Resources and environment monitoring early-warning system under network environment | |
| CN106570613A (en) | Secondary equipment maintenance strategy generation method based on state monitoring | |
| CN103296756A (en) | Managing and monitoring system for transformer substation | |
| CN111696301A (en) | Electric fire monitoring device and system based on LoRaWAN technology | |
| CN107357199B (en) | Electric power operation and maintenance system | |
| CN207717895U (en) | A kind of electrical appliance enclosure ground fault detection locating alarm device | |
| CN111313966A (en) | Centralized monitoring and early warning equipment based on optical fiber network maintenance | |
| CN106602710A (en) | Distributed electric power monitoring system | |
| CN105262219A (en) | Regional security early warning method and system of electric power communication network | |
| CN203606677U (en) | Critical control point monitoring and pre-warning system for production quality managers | |
| CN203038094U (en) | Chemical production safety monitoring device | |
| CN211378056U (en) | Novel remote power supply management box |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Fang Hui Inventor after: ZhuGe Lei Inventor after: Wang Yang Inventor after: Sandalwood forest Inventor after: He Shian Inventor after: Wang Zhong Inventor after: Wang Qing Inventor before: Wang Zhong Inventor before: Wang Qing |