CN103440726B - Electric fire disaster warning information processing method and system - Google Patents
Electric fire disaster warning information processing method and system Download PDFInfo
- Publication number
- CN103440726B CN103440726B CN201310394362.9A CN201310394362A CN103440726B CN 103440726 B CN103440726 B CN 103440726B CN 201310394362 A CN201310394362 A CN 201310394362A CN 103440726 B CN103440726 B CN 103440726B
- Authority
- CN
- China
- Prior art keywords
- monitor
- temperature
- consumer
- electric power
- analysis result
- 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.)
- Active
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 6
- 238000004458 analytical methods Methods 0.000 claims abstract description 59
- 238000005070 sampling Methods 0.000 claims abstract description 28
- 230000002159 abnormal effects Effects 0.000 claims abstract description 18
- 231100000279 safety data Toxicity 0.000 claims abstract description 12
- 230000000875 corresponding Effects 0.000 claims abstract description 7
- 238000004891 communication Methods 0.000 claims description 22
- 230000001052 transient Effects 0.000 claims description 8
- 230000000007 visual effect Effects 0.000 claims description 2
- 238000000034 methods Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagrams Methods 0.000 description 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N carbon monoxide Chemical compound data:image/svg+xml;base64,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 data:image/svg+xml;base64,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 [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000005516 engineering processes Methods 0.000 description 1
- 239000003546 flue gases Substances 0.000 description 1
- 230000001264 neutralization Effects 0.000 description 1
Abstract
A kind of electric fire disaster warning information processing method, comprises the Monitoring Data receiving monitor and send; The parameter of being monitored by monitor, sampling time and monitor mark are deposited in the corresponding data bag in database in raw data base respectively; From raw data base, call Monitoring Data, research and application data, and obtain the temperature analysis result of consumer within the sampling period and electric power analysis result; Temperature analysis result and electric power analysis result are compared with the electrical safety data of consumer respectively, determines that whether the temperature electric power of consumer is abnormal, and produce warning reports, stored in warning reports database, and by display display early warning chart; When determining consumer parameters of electric power and/or temperature parameter is abnormal, electric fire disaster warning information handling system is by Internet of Things alarm.The present invention monitors the running status of each monitoring point consumer in real time, and the disaster hidden-trouble of timely alarm consumer, realizes the safe early warning of electrical equipment on a large scale.
Description
Technical field
The present invention relates to fire alarm field, be specifically related to a kind of electric fire disaster warning information handling system, be specially adapted to the electric fire disaster warning of the factories and miness enterprises and institutions to consumer electrical fire Centralized Monitoring.
Background technology
Existing electrical fire warning device is usually by detecting the parameter such as leakage current (or neutral line current), on-the-spot flue gas of electrical equipment, realize the early warning of the electrical fire at single consumer or single consumer scene, so control " a kind of electric fire monitoring system " (China Patent No.: CN201465259U) that Huan waits invention, this utility model by detect consumer leakage current, carry out fire alarm, this kind of electrical fire warning device is not suitable for the early warning of electrical fire on a large scale.
The invention provides a kind of electric fire disaster warning information handling system, can focus on the electric fire disaster warning information of interior collection on a large scale, realize large-scale electric fire disaster warning.
summary of the invention:
The object of this invention is to provide a kind of electric fire disaster warning information handling system being applicable to electric fire disaster warning system on a large scale, by parameters of electric power and the process of consumer temperature information collective analysis of all consumers to interior collection on a large scale, the electric disaster hidden-trouble that the consumer of Timeliness coverage monitoring point and electric line fault produce, sends fire alarm in real time.
A kind of electric fire disaster warning information processing method provided by the invention, comprising: receive the Monitoring Data that monitor sends, and Monitoring Data comprises parameter that monitor monitors, sampling time and monitor mark; The parameter that monitor is monitored comprises the parameters of electric power of electric supervising device monitoring and the temperature parameter of temperature monitor monitoring; The parameter of being monitored by monitor, sampling time and monitor mark are deposited in the corresponding data bag in database in raw data base respectively, and the parameter biography of the monitor of buffer memory mark and monitor being monitored carries out visualization processing and generates showing chart in real time, and shown in real time by display, and by chart stored in real-time monitoring data storehouse; From raw data base, call Monitoring Data, research and application data, and obtain the temperature analysis result of consumer within the sampling period and electric power analysis result; Temperature analysis result and electric power analysis result are compared with the electrical safety data of consumer respectively, determines that whether the temperature electric power of consumer is abnormal, and produce warning reports, stored in warning reports database, and by display display early warning chart; When determining consumer parameters of electric power and/or temperature parameter is abnormal, electric fire disaster warning information handling system is by Internet of Things alarm.
A kind of electric fire disaster warning information handling system provided by the invention, comprise: communication interface modules, for receiving the Monitoring Data that monitor sends, and the Monitoring Data that monitor sends is sent to data acquisition module, Monitoring Data comprises parameter that monitor monitors, sampling time and monitor mark, the parameter that monitor is monitored comprises the parameters of electric power of electric supervising device monitoring and the temperature parameter of temperature monitor monitoring, data acquisition module, the Monitoring Data that the monitor sent for receiving said communication interface modules sends, the parameter of being monitored by monitor, sampling time and monitor mark are deposited in the corresponding data bag in database in raw data base respectively, and send the parameter that the monitor of buffer memory mark and monitor are monitored to visualization processing module, visualization processing module, enters for receiving the parameter that monitor identifies and monitor is monitored, and carries out visualization processing and generate showing chart in real time, and is shown in real time by display, and by chart stored in real-time monitoring data storehouse, early warning analysis module, for calling Monitoring Data from raw data base, research and application data, and obtain the temperature analysis result of consumer within the sampling period and electric power analysis result, and temperature analysis result and electric power analysis result are compared with the electrical safety data of consumer respectively, determine that whether the temperature electric power of consumer is abnormal, and produce warning reports, stored in warning reports database, and by display display early warning chart, when determining consumer parameters of electric power and/or temperature parameter is abnormal, fire alarm alarm is sent through Internet of Things by communication module.
Implement electric fire disaster warning information handling system of the present invention, by parameters of electric power and the process of temperature parameter system of the consumer to concentrated collection, the running status of real-time monitoring each monitoring point consumer, the disaster hidden-trouble of timely alarm consumer, realizes the safe early warning of electrical equipment on a large scale.
Accompanying drawing explanation
Fig. 1 electric fire disaster warning information handling system hardware configuration block diagram
Fig. 2 electric fire disaster warning information handling system software architecture diagram
1. electric supervising device 2. data line 3. temperature monitor 4. Internet of Things 5. data line 6. electric fire disaster warning information handling system.
Embodiment
Detail of the present invention and job step is described in detail below in conjunction with accompanying drawing:
The hardware configuration implementing electric fire disaster warning information handling system of the present invention is as shown in figure accompanying drawing 1, and the temperature monitor 3 being arranged on consumer place is connected with electric fire disaster warning information handling system by Internet of Things 4 through data line 2 with electric supervising device 1.
Implement electric fire disaster warning information handling system software configuration of the present invention as shown in Figure 2, comprising:
Communication interface modules, for receiving the Monitoring Data that monitor sends, and sends to data acquisition module by the Monitoring Data that monitor sends, and Monitoring Data comprises parameter that monitor monitors, sampling time and monitor mark; The parameter that monitor is monitored comprises the parameters of electric power of electric supervising device monitoring and the temperature parameter of temperature monitor monitoring.
Communications status monitoring modular, for when monitoring the communication abnormality of electric fire disaster warning information handling system and monitor, determine system jam or monitor breaks down, and the equipment determined fault type and break down, concurrent alarm of being out of order, and failure message is carried out visualization processing, show malfunction in real time.Then drive warning device to send failure warning by warning driver module, simultaneously by transmitting fault information to visualization processing module, carry out visualization processing by visualization processing module, and the malfunction of real-time display system or monitor.
Data acquisition module, the Monitoring Data that the monitor sent for receiving said communication interface modules sends, the parameter of being monitored by monitor, sampling time and monitor mark are deposited in the corresponding data bag in database in raw data base respectively, and send the parameter that the monitor of buffer memory mark and monitor are monitored to visualization processing module.
Visualization processing module, enters for receiving the parameter that monitor identifies and monitor is monitored, and carries out visualization processing and generate showing chart in real time, and is shown in real time by display, and by chart stored in real-time monitoring data storehouse.
Early warning analysis module, for calling Monitoring Data from raw data base, research and application data, and obtain the temperature analysis result of consumer within the sampling period and electric power analysis result, and temperature analysis result and electric power analysis result are compared with the electrical safety data of consumer respectively, determine that whether the temperature electric power of consumer is abnormal, and produce warning reports, stored in warning reports database, and by display display early warning chart, when determining consumer parameters of electric power and/or temperature parameter is abnormal, fire alarm alarm is sent through Internet of Things by communication module.
Concrete: early warning analysis module, specifically for calling the parameter that sampling time in raw data base, monitor mark and monitor are monitored; The consumer case temperature that research and application instrument is monitored and consumer environment temperature, obtain the temperature analysis result within the sampling period of consumer, wherein to comprise in the temperature difference of medial temperature, temperature rise, rate of temperature change and environment temperature one or more for temperature analysis result; The parameters of electric power of the consumer that research and application instrument is monitored, obtain consumer electric power analysis result, wherein, electric power analysis result comprise power supply frequency change, active power, reactive power, three-phase imbalance state, higher hamonic wave, voltage transient, current transients, overvoltage, overcurrent and under-voltage in one or more.
Electric fire disaster warning information handling system, also comprise fire alarm information raw data storehouse, electrical equipment safety database, warning reports database, real-time monitoring data storehouse, wherein raw data library storage comprises parameters of electric power and the temperature parameter raw data of consumer; All kinds of consumer electrical safety of electrical equipment secure data library storage data; The warning reports of warning reports database purchase early warning analysis CMOS macro cell; The visual real-time display chart of real-time monitoring data library storage visualization processing CMOS macro cell.
The process of electric fire disaster warning information processing method of the present invention, as shown in Figure 2, comprising:
101, the communication interface modules of electric fire disaster warning information handling system input end is communicated with monitor by Internet of Things, monitor includes electric supervising device and temperature monitor, this communication interface modules receives the Monitoring Data that reports of monitor, and this Monitoring Data comprises parameter that monitor monitors, sampling time and monitor mark.The parameter that monitor is monitored can be the parameters of electric power of consumer, parameters of electric power comprises the voltage that electricity consumption is established, electric current, power etc., the parameter of monitoring can also be the temperature parameter of consumer, and temperature parameter comprises consumer case temperature and consumer environment temperature.
In an electrical system, multiple consumer may be there is, an electric supervising device or a temperature monitor can monitor one or several consumer, therefore in an electrical system, may there is multiple electric supervising device and multiple temperature monitor, each monitor has a monitor mark.
Electric supervising device can communicate with electric fire disaster warning information handling system respectively by Internet of Things with temperature monitor, the parameter of the consumer that monitor can periodically report it to monitor to electric fire disaster warning information handling system, such as: electric power power monitor was every one minute parameters of electric power by the consumer that reports it to monitor to electric fire disaster warning information handling system.After the threshold value that the parameter that monitor can be monitored at it specifies more than, to the parameter of the consumer that electric fire disaster warning information handling system reports it to monitor, such as: the voltage of the consumer of monitoring when electric supervising device is more than a threshold value, and according to the rules, the voltage of consumer exceedes this threshold value, the probability of its breaking out of fire will increase greatly, and therefore electric supervising device is by the parameters of electric power of the consumer that reports it to monitor to electric fire disaster warning information handling system.
102, the communications status monitoring modular in fault diagnosis module is connected with communication interface, whether the communication detecting communication interface and monitor is normal, as normal in communicated, then the Monitoring Data that monitor reports by communications status monitoring modular is transferred to data acquisition module, and continues to perform step 103.Occur abnormal as communicated, then communications status monitoring modular by communication abnormality information transmission to fault alarm module, by fault alarm module according to communication abnormality information, determine system jam or monitor breaks down, and the equipment determined fault type and break down, then by warning driver module drive warning device send failure warning, simultaneously by transmitting fault information to visualization processing module, the malfunction of real-time display system or monitor.
Whether the communication that communications status monitoring periodically can monitor communication interface and monitor is normal, such as: every half an hour monitoring once.
103, after the Monitoring Data that data acquisition module reception monitor reports, Monitoring Data received by buffer memory, then by the sampling time, the parameter that monitor mark and monitor are monitored is deposited in the corresponding data bag in database in raw data base respectively, the parameter transmission of simultaneously monitor of buffer memory mark and monitor being monitored is to visualization processing module, the parameter that monitor mark and monitor are monitored generates and shows chart in real time by visualization processing module, and shown in real time by display, and by chart stored in real-time monitoring data storehouse, have access to for after user.
104, early warning analysis module calls the sampling time in raw data base, the parameter that monitor mark and monitor are monitored, and the research and application instrument consumer case temperature of monitoring and consumer environment temperature, obtain the medial temperature within the sampling period of consumer, temperature rise, rate of temperature change, with the temperature difference equitemperature analysis result of environment temperature, and the parameters of electric power such as the research and application instrument electric current of consumer of monitoring and electricity, obtain the power supply frequency change of consumer, active power, reactive power, three-phase imbalance state, higher hamonic wave, voltage transient, current transients, overvoltage, overcurrent and the electric power analysis result such as under-voltage.
105, the electrical safety data of similar electrical equipment in electrical equipment safety database in early warning analysis module calling data storehouse, obtain analysis result with above-mentioned analysis to compare, determine that whether the temperature parameter of consumer, parameters of electric power be abnormal, and produce warning reports, stored in warning reports database, and by display display early warning chart.
Electrical safety data comprise electric power safety data and temperature safety data, the electric power analysis result of electric power safety data and above-mentioned acquisition compares by early warning analysis module, determine that whether consumer parameters of electric power is abnormal, and according to determining whether that abnormal results produces warning reports, stored in warning reports database, and by display display early warning chart.The temperature analysis result of temperature safety data and above-mentioned acquisition also compares by early warning analysis module, determine that whether consumer temperature parameter is abnormal, and according to determining whether that abnormal results produces warning reports, stored in warning reports database, and by display display early warning chart.If when above-mentioned early warning analysis module determination consumer parameters of electric power and/or temperature parameter exception, will step 106 be performed.
If when 106 above-mentioned early warning analysis module determination consumer parameters of electric power and/or temperature parameter exception, early warning analysis module is given the alarm by warning device, and sends fire alarm alarm through Internet of Things to relevant departments and managerial personnel by communication module.
Claims (7)
1. an electric fire disaster warning information processing method, is characterized in that, comprising:
Receive the Monitoring Data that monitor sends, described Monitoring Data comprises parameter that described monitor monitors, sampling time and monitor mark; The parameter that described monitor is monitored comprises the parameters of electric power of electric supervising device monitoring and the temperature parameter of temperature monitor monitoring;
The parameter of being monitored by described monitor, sampling time and monitor mark are deposited in the corresponding data bag in database in raw data base respectively, and the parameter that the monitor of buffer memory mark and monitor are monitored is carried out visualization processing and generate showing chart in real time, and shown in real time by display, and by chart stored in real-time monitoring data storehouse;
From described raw data base, call described Monitoring Data, analyze described Monitoring Data, and obtain the temperature analysis result of consumer within the sampling period and electric power analysis result;
Described temperature analysis result and electric power analysis result are compared with the electrical safety data of described consumer respectively, determine that whether the temperature electric power of consumer is abnormal, and produce warning reports, stored in warning reports database, and by display display early warning chart;
When determining described consumer parameters of electric power and/or temperature parameter is abnormal, electric fire disaster warning information handling system is by Internet of Things alarm.
2. the method for claim 1, it is characterized in that, also comprise: when monitoring the communication abnormality of described electric fire disaster warning information handling system and described monitor, described electric fire disaster warning information handling system determines system jam or monitor breaks down, and the equipment determined fault type and break down, concurrent alarm of being out of order, and failure message is carried out visualization processing, show malfunction in real time.
3. the method for claim 1, is characterized in that, describedly from described raw data base, calls described Monitoring Data, analyzes described Monitoring Data, and obtains the temperature analysis result of consumer within the sampling period and electric power analysis result is specially:
Call the parameter that the sampling time in raw data base, monitor mark and monitor are monitored; The consumer case temperature that research and application instrument is monitored and consumer environment temperature, obtain the temperature analysis result within the sampling period of consumer, it is one or more that wherein said temperature analysis result comprises in the temperature difference of medial temperature, temperature rise, rate of temperature change and environment temperature;
The parameters of electric power of the consumer that research and application instrument is monitored, obtain consumer electric power analysis result, wherein, described electric power analysis result comprise power supply frequency change, active power, reactive power, three-phase imbalance state, higher hamonic wave, voltage transient, current transients, overvoltage, overcurrent and under-voltage in one or more.
4. an electric fire disaster warning information handling system, it is characterized in that, comprise: communication interface modules, for receiving the Monitoring Data that monitor sends, and the Monitoring Data that described monitor sends is sent to data acquisition module, described Monitoring Data comprises parameter that described monitor monitors, sampling time and monitor mark; The parameter that described monitor is monitored comprises the parameters of electric power of electric supervising device monitoring and the temperature parameter of temperature monitor monitoring;
Data acquisition module, the Monitoring Data that the described monitor sent for receiving described communication interface modules sends, the parameter of being monitored by described monitor, sampling time and monitor mark are deposited in the corresponding data bag in database in raw data base respectively, and send the parameter that the monitor of buffer memory mark and monitor are monitored to visualization processing module;
Visualization processing module, for receiving the parameter that monitor identifies and monitor is monitored, and is carried out visualization processing and generates showing chart in real time, and shown in real time by display, and by chart stored in real-time monitoring data storehouse;
Early warning analysis module, for calling described Monitoring Data from described raw data base, analyze described Monitoring Data, and obtain the temperature analysis result of consumer within the sampling period and electric power analysis result, and described temperature analysis result and electric power analysis result are compared with the electrical safety data of described consumer respectively, determine that whether the temperature electric power of consumer is abnormal, and produce warning reports, stored in warning reports database, and by display display early warning chart, when determining described consumer parameters of electric power and/or temperature parameter is abnormal, fire alarm alarm is sent through Internet of Things by communication module.
5. electric fire disaster warning information handling system as claimed in claim 4, it is characterized in that, also comprise: communications status monitoring modular, for when monitoring the communication abnormality of described electric fire disaster warning information handling system and described monitor, determine system jam or monitor breaks down, and the equipment determined fault type and break down, concurrent alarm of being out of order, and failure message is carried out visualization processing, real-time display malfunction, then warning device is driven to send failure warning by warning driver module, simultaneously by transmitting fault information to visualization processing module, visualization processing is carried out by described visualization processing module, and the malfunction of real-time display system or monitor.
6. electric fire disaster warning information handling system as claimed in claim 4, is characterized in that, described early warning analysis module, specifically for calling the parameter that sampling time in raw data base, monitor mark and monitor are monitored; The consumer case temperature that research and application instrument is monitored and consumer environment temperature, obtain the temperature analysis result within the sampling period of consumer, it is one or more that wherein said temperature analysis result comprises in the temperature difference of medial temperature, temperature rise, rate of temperature change and environment temperature;
The parameters of electric power of the consumer that research and application instrument is monitored, obtain consumer electric power analysis result, wherein, described electric power analysis result comprise power supply frequency change, active power, reactive power, three-phase imbalance state, higher hamonic wave, voltage transient, current transients, overvoltage, overcurrent and under-voltage in one or more.
7. electric fire disaster warning information handling system as claimed in claim 4, it is characterized in that, also comprise: fire alarm information raw data storehouse, electrical equipment safety database, warning reports database and real-time monitoring data storehouse, wherein raw data library storage comprises the parameters of electric power of consumer and the raw data of temperature parameter; All kinds of consumer electrical safety of electrical equipment secure data library storage data; The warning reports of warning reports database purchase early warning analysis CMOS macro cell; The visual real-time display chart of real-time monitoring data library storage visualization processing CMOS macro cell.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310394362.9A CN103440726B (en) | 2013-09-03 | 2013-09-03 | Electric fire disaster warning information processing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310394362.9A CN103440726B (en) | 2013-09-03 | 2013-09-03 | Electric fire disaster warning information processing method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103440726A CN103440726A (en) | 2013-12-11 |
| CN103440726B true CN103440726B (en) | 2016-01-20 |
Family
ID=49694419
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310394362.9A Active CN103440726B (en) | 2013-09-03 | 2013-09-03 | Electric fire disaster warning information processing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103440726B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103854446B (en) * | 2014-03-14 | 2016-06-29 | Abb技术有限公司 | A kind of dynamic temperature rise diagnostic alarms method and apparatus of high-tension switch cabinet |
| CN105468610A (en) * | 2014-08-29 | 2016-04-06 | 上海丰进信息科技有限公司 | Internet-of-things node data graphic method and system in browser mode |
| CN105279226A (en) * | 2015-09-09 | 2016-01-27 | 浪潮(北京)电子信息产业有限公司 | Data monitoring method and equipment based on big data |
| CN106345086A (en) * | 2016-10-10 | 2017-01-25 | 江苏鸿鹄电子科技有限公司 | New-energy automobile power battery security system |
| CN109525035A (en) * | 2017-09-20 | 2019-03-26 | 广东飞和信息科技有限公司 | The method and device of distributed Electrical Safety dynamic monitoring and big data fire alarm |
| CN108335449B (en) * | 2018-01-25 | 2019-02-22 | 江苏昂内斯电力科技股份有限公司 | A kind of electrical fire interconnected monitoring system based on cloud platform |
| CN109471380A (en) * | 2018-04-10 | 2019-03-15 | 国网浙江省电力有限公司嘉兴供电公司 | A kind of electric user's power distribution room real-time monitoring system of guarantor |
| CN112511655A (en) * | 2021-02-04 | 2021-03-16 | 国能信控互联技术有限公司 | Intelligent safety power utilization monitoring system based on fusion internet of things technology |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200969136Y (en) * | 2006-08-24 | 2007-10-31 | 北京燕禹水务科技有限公司 | Real-time hydrology information automatic monitoring and disaster prewarning alarm system |
| CN201477707U (en) * | 2009-08-31 | 2010-05-19 | 深圳市泰永科技股份有限公司 | Electrical fire-detector |
| CN101719299A (en) * | 2009-11-10 | 2010-06-02 | 天津市浦海新技术有限公司 | Alarm system and method for fire and combustible gas |
| CN201716809U (en) * | 2010-07-24 | 2011-01-19 | 浙江韦德电子有限公司 | Residual current type electric-fire monitoring detector |
| CN103065419A (en) * | 2012-12-14 | 2013-04-24 | 泉州豪杰信息科技发展有限公司 | Monitor system of electric fire |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120082206A (en) * | 2011-01-13 | 2012-07-23 | 삼성모바일디스플레이주식회사 | Light source driving circuit and display device having them |
-
2013
- 2013-09-03 CN CN201310394362.9A patent/CN103440726B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200969136Y (en) * | 2006-08-24 | 2007-10-31 | 北京燕禹水务科技有限公司 | Real-time hydrology information automatic monitoring and disaster prewarning alarm system |
| CN201477707U (en) * | 2009-08-31 | 2010-05-19 | 深圳市泰永科技股份有限公司 | Electrical fire-detector |
| CN101719299A (en) * | 2009-11-10 | 2010-06-02 | 天津市浦海新技术有限公司 | Alarm system and method for fire and combustible gas |
| CN201716809U (en) * | 2010-07-24 | 2011-01-19 | 浙江韦德电子有限公司 | Residual current type electric-fire monitoring detector |
| CN103065419A (en) * | 2012-12-14 | 2013-04-24 | 泉州豪杰信息科技发展有限公司 | Monitor system of electric fire |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103440726A (en) | 2013-12-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103440726B (en) | Electric fire disaster warning information processing method and system | |
| CN104092310B (en) | A kind of intelligent power distribution monitoring and energy management system backstage | |
| CN103440727B (en) | A kind of electric fire disaster warning method and system | |
| CN104298202A (en) | Industrial field intelligent monitoring terminal based on internet of things | |
| CN103545924A (en) | Secondary equipment state online monitoring method | |
| CN107861471A (en) | A kind of control system of remote monitoring machine tool net safe operation | |
| CN105449846B (en) | A kind of direct current on-line monitoring management system and management method | |
| CN104734362A (en) | Photovoltaic inverter health status monitoring and alarm system | |
| CN205622325U (en) | Remote intelligent power dispatching automation equipment examine monitoring system | |
| CN103837786A (en) | State monitoring system and monitoring method of intelligent distribution network equipment | |
| CN103489058B (en) | TipWizard based on intelligent engine transfers method and device | |
| CN204789798U (en) | Distribution lines operation condition monitoring device and monitoring system | |
| CN103795141A (en) | DC reclosing switch | |
| CN103558819A (en) | Slicing machine fault diagnosis system | |
| CN203813525U (en) | Intelligent distribution network equipment state monitoring system | |
| CN106646116A (en) | Trouble shooting and locating method for power distribution network | |
| CN102957211B (en) | Energy and electric power monitoring device | |
| CN110995155A (en) | Photovoltaic module real-time monitoring system | |
| CN202997700U (en) | Energy and power monitoring device | |
| CN106469902A (en) | 10KV phase shortage low-voltage intelligent buckle release protection device | |
| CN203102357U (en) | An accident auxiliary processing system of a high-voltage DC convertor station | |
| CN205453302U (en) | Electric power monitoring device | |
| CN204681160U (en) | A kind of grid maintenance intelligent system of topology Network Based | |
| CN204576319U (en) | Based on Internet of Things there is the monitoring device for dynamic environment of standby power supply | |
| CN203491785U (en) | Direct-current monitoring system based on PMU |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20201209 Address after: No.1, Dagang Dongfang Road, New District, Zhenjiang City, Jiangsu Province, 212000 Patentee after: Zhenjiang Taigu Electric Power Co., Ltd Address before: 688 Fengting Avenue, Suzhou Industrial Park, Jiangsu Province Patentee before: SUZHOU BEST AREA POWER Co.,Ltd. |