CN110597803A - Building safety intelligent monitoring and early warning system and monitoring method based on big data - Google Patents
Building safety intelligent monitoring and early warning system and monitoring method based on big data Download PDFInfo
- Publication number
- CN110597803A CN110597803A CN201810512142.4A CN201810512142A CN110597803A CN 110597803 A CN110597803 A CN 110597803A CN 201810512142 A CN201810512142 A CN 201810512142A CN 110597803 A CN110597803 A CN 110597803A
- Authority
- CN
- China
- Prior art keywords
- data
- early warning
- intelligent
- safety
- monitoring
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims description 18
- 231100000279 safety data Toxicity 0.000 claims abstract description 72
- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 230000005540 biological transmission Effects 0.000 claims description 10
- 230000000007 visual effect Effects 0.000 claims description 9
- 230000000717 retained effect Effects 0.000 claims description 5
- 238000004891 communication Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Abstract
The invention discloses a building safety intelligent monitoring and early warning system based on big data, which is characterized in that: the system comprises intelligent sensing equipment, a central server and a background server; the intelligent sensing equipment, the central server and the background server are in signal connection. The early warning system is constructed by adopting the intelligent sensing equipment, the central server, the background server and the client, so that the full-time comprehensive coverage monitoring and data acquisition of all building safety indexes of a plurality of buildings can be realized, and the rapid acquisition, analysis and early warning of the building safety data can be realized.
Description
Technical Field
The invention relates to the field of building monitoring, in particular to a building safety intelligent monitoring and early warning system and a monitoring method based on big data.
Background
In view of historical reasons, China has a large number of existing buildings with a large number of potential safety hazards due to the fact that construction level is low at the time, building technology does not reach the standard, and human factors around geological transition at the later stage cause the existing buildings, all-around management and control and danger elimination are needed, and otherwise, life and property safety of common people is endangered. At present, all levels of government related departments cannot perform full name management and treatment on old and dangerous houses in a systematization, datamation and standardization mode, and only perform self-check and report in a street and committee mode, so that a great amount of potential safety hazards exist.
Disclosure of Invention
The invention aims to provide a building safety intelligent monitoring and early warning system and a monitoring method based on big data. The invention can realize the real-time acquisition, real-time analysis and timely notification of the building safety data.
The technical scheme of the invention is as follows: a building safety intelligent monitoring and early warning system based on big data comprises intelligent sensing equipment, a central server and a background server; the intelligent sensing equipment, the central server and the background server are in signal connection.
The intelligent sensing equipment comprises building data monitoring equipment such as an intelligent inclinometer, an intelligent crack instrument, an intelligent settlement instrument, an intelligent hygrothermograph and an intelligent wind power anemoscope.
The central server comprises a data acquisition module, a data transmission module and a data formatting module.
The background server comprises a historical database, a recent database, a real-time database, an early warning analysis module and an early warning sending device.
The early warning system further comprises a client applied to the intelligent terminal and a visual terminal used for observing data.
A monitoring method using the building safety intelligent monitoring and early warning system based on big data comprises the following steps:
the early warning system collects the safety data monitored by the intelligent sensing equipment through a data acquisition module of the central server and transmits the safety data to the central server through the data acquisition module;
after the central server receives the safety data, the data formatting module formats various safety data monitored by different intelligent sensing devices into a standard format, and the data transmission module transmits the safety data in the standard format to the background server;
after the background server receives the safety data in the standard format, the received safety data in the standard format is stored in a real-time database, and the safety data is displayed through a visual terminal;
the early warning analysis module analyzes data in the real-time database, and if the safety data exceed a threshold value, the early warning sending device sends early warning and keeps the data in the real-time database; if the security data is below the threshold, the data is retained in the recent database.
The early warning system collects safety data monitored by the intelligent sensing equipment through a data acquisition module of the central server, and specifically, the data acquisition module transmits state information of the intelligent sensing equipment and the safety data monitored by the intelligent sensing equipment to the central server in data formats of 2-system and 16-system.
The data formatting module formats various security data monitored by different intelligent sensing devices into a standard format specifically comprises: the data formatting module integrates the state information and the safety data of the intelligent sensing equipment with a 2-system format and a 16-system format as data formats into single data with 12 bytes, wherein the first byte is an identifier, the second byte is a data length, the third byte is an address code, the fourth byte is a command word, the fifth byte to the eleventh byte are data fields, and the 12 th byte is a checksum.
The monitoring method of the building safety intelligent monitoring and early warning system based on big data further comprises the following steps: the background server automatically generates a key data report according to the month of the data which is stored in the recent database for 3 months through the early warning analysis module, and stores the key data report into the historical database.
The early warning sending device sends the early warning, and specifically, the early warning sending device informs the main person of the early warning information in the modes of app, short message, internet phone and the like.
Compared with the prior art, the early warning system is constructed by adopting the intelligent sensing equipment, the central server, the background server and the client, so that the full-time comprehensive coverage monitoring and data acquisition of all building safety indexes of a plurality of buildings can be realized, and the rapid acquisition, analysis and early warning of the building safety data can be realized.
The invention adopts the data acquisition module to acquire the building safety data instead of actively transmitting the data of the intelligent sensing equipment, can ensure the safety of the data, can actively monitor and control the operation condition of the intelligent sensing equipment, and can respond in time.
According to the invention, the state information of the intelligent sensing equipment and the safety data monitored by the intelligent sensing equipment are transmitted to the central server in the data formats of 2-system and 16-system through the data acquisition module, so that the communication data volume of the intelligent sensing equipment and the central server is small, and the condition that the building safety accidents are caused by influence on building data acquisition and analysis due to untimely data communication when the conditions of high concurrency or poor network environment occur can be prevented
According to the invention, different building safety data are formatted into single data of 12 bytes by adopting the data formatting module, so that different building safety data formats of different devices are unified, and the visualization of the data can be realized.
The invention adopts a plurality of databases to store different types of data, can enable the background server to have the maximum utilization performance, and can prevent the condition that the data analysis response time is longer due to the overlarge database, thereby influencing the data analysis efficiency.
According to the invention, the early warning sending device informs the main system of the early warning information in the modes of app, short message, network telephone and the like, can timely contact related personnel to remind and process the building safety, and ensures that the early warning analysis of the building data can be carried out to the ground, not only analysis and display.
Drawings
Fig. 1 is a schematic structural view of the present invention.
Detailed Description
The invention is further illustrated by the following figures and examples, which are not to be construed as limiting the invention.
Example 1.
An intelligent building safety monitoring and early warning system based on big data is shown in figure 1 and comprises intelligent sensing equipment, a central server and a background server; the intelligent sensing equipment, the central server and the background server are in signal connection.
The intelligent sensing equipment comprises building data monitoring equipment such as an intelligent inclinometer, an intelligent crack instrument, an intelligent settlement instrument, an intelligent hygrothermograph and an intelligent wind power anemoscope.
The central server comprises a data acquisition module, a data transmission module and a data formatting module.
The background server comprises a historical database, a recent database, a real-time database, an early warning analysis module and an early warning sending device.
The early warning system further comprises a client applied to the intelligent terminal and a visual terminal used for observing data.
A monitoring method using the building safety intelligent monitoring and early warning system based on big data comprises the following steps:
the early warning system collects the safety data monitored by the intelligent sensing equipment through a data acquisition module of the central server and transmits the safety data to the central server through the data acquisition module;
after the central server receives the safety data, the data formatting module formats various safety data monitored by different intelligent sensing devices into a standard format, and the data transmission module transmits the safety data in the standard format to the background server;
after the background server receives the safety data in the standard format, the received safety data in the standard format is stored in a real-time database, and the safety data is displayed through a visual terminal;
the early warning analysis module analyzes data in the real-time database, and if the safety data exceed a threshold value, the early warning sending device sends early warning and keeps the data in the real-time database; if the security data is below the threshold, the data is retained in the recent database.
The early warning system collects safety data monitored by the intelligent sensing equipment through a data acquisition module of the central server, and specifically, the data acquisition module transmits state information of the intelligent sensing equipment and the safety data monitored by the intelligent sensing equipment to the central server in data formats of 2-system and 16-system.
The data formatting module formats various security data monitored by different intelligent sensing devices into a standard format specifically as follows: the data formatting module integrates the state information and the safety data of the intelligent sensing equipment with a 2-system format and a 16-system format as data formats into single data with 12 bytes, wherein the first byte is an identifier, the second byte is a data length, the third byte is an address code, the fourth byte is a command word, the fifth byte to the eleventh byte are data fields, and the 12 th byte is a checksum.
The monitoring method of the building safety intelligent monitoring and early warning system based on big data further comprises the following steps: the background server automatically generates a key data report according to the month of the data which is stored in the recent database for 3 months through the early warning analysis module, and stores the key data report into the historical database.
The early warning sending device sends early warning, and specifically, the early warning sending device informs an affiliate of early warning information in the modes of app, short message, network telephone and the like.
When the intelligent building safety monitoring system is used, the intelligent sensing equipment collects building safety data but does not actively send the building safety data to the central server.
The central server transmits the state information of the intelligent sensing equipment and the safety data monitored by the intelligent sensing equipment to the central server in data formats of 2-system and 16-system through a data acquisition module.
After the data transmission module of the central server receives the safety data, the data formatting module formats various safety data monitored by different intelligent sensing devices into a standard format, and then the data transmission module transmits the safety data in the standard format to the background server.
And after the background server receives the safety data in the standard format, the received safety data in the standard format is stored in a real-time database, and the safety data is displayed through a visual terminal.
The early warning analysis module analyzes data in the real-time database, and if the safety data exceed a threshold value, the early warning sending device sends early warning and keeps the data in the real-time database; if the security data is below the threshold, the data is retained in the recent database.
The background server automatically generates a key data report according to the month of the data which is stored in the recent database for 3 months through the early warning analysis module, and stores the key data report into the historical database.
The early warning system is constructed by adopting the intelligent sensing equipment, the central server, the background server and the client, so that the full-time comprehensive coverage monitoring and data acquisition of all building safety indexes of a plurality of buildings can be realized, and the rapid acquisition, analysis and early warning of the building safety data can be realized.
The invention adopts the data acquisition module to acquire the building safety data instead of actively transmitting the data of the intelligent sensing equipment, can ensure the safety of the data, can actively monitor and control the operation condition of the intelligent sensing equipment, and can respond in time.
According to the invention, the state information of the intelligent sensing equipment and the safety data monitored by the intelligent sensing equipment are transmitted to the central server in the data formats of 2-system and 16-system through the data acquisition module, so that the communication data volume of the intelligent sensing equipment and the central server is small, and the condition that the building safety accidents are caused by influence on building data acquisition and analysis due to untimely data communication when the conditions of high concurrency or poor network environment occur can be prevented
According to the invention, different building safety data are formatted into single data with length by adopting the data formatting module, so that different building safety data formats of different devices are unified, and the visualization of the data can be realized.
The invention adopts a plurality of databases to store different types of data, can enable the background server to have the maximum utilization performance, and can prevent the condition that the data analysis response time is longer due to the overlarge database, thereby influencing the data analysis efficiency.
According to the invention, the early warning sending device informs the main system of the early warning information in the modes of app, short message, network telephone and the like, can timely contact related personnel to remind and process the building safety, and ensures that the early warning analysis of the building data can be carried out to the ground, not only analysis and display.
Example 2.
An intelligent building safety monitoring and early warning system based on big data is shown in figure 1 and comprises intelligent sensing equipment, a central server and a background server; the intelligent sensing equipment, the central server and the background server are in signal connection.
The intelligent sensing device comprises an intelligent inclinometer.
The central server comprises a data acquisition module, a data transmission module and a data formatting module.
The background server comprises a historical database, a recent database, a real-time database, an early warning analysis module and an early warning sending device.
The early warning system further comprises a client applied to the intelligent terminal and a visual terminal used for observing data.
A monitoring method using the building safety intelligent monitoring and early warning system based on big data comprises the following steps:
the early warning system collects the safety data monitored by the intelligent inclinometer through a data acquisition module of the central server and transmits the safety data to the central server through the data acquisition module;
after the central server receives the safety data, the data formatting module formats various safety data monitored by the intelligent inclinometer into a standard format, and the data transmission module transmits the safety data in the standard format to the background server;
after the background server receives the safety data in the standard format, the received safety data in the standard format is stored in a real-time database, and the safety data is displayed through a visual terminal;
the early warning analysis module analyzes data in the real-time database, and if the safety data exceed a threshold value, the early warning sending device sends early warning and keeps the data in the real-time database; if the security data is below the threshold, the data is retained in the recent database.
The early warning system collects safety data monitored by the intelligent inclinometer through a data acquisition module of the central server, and specifically, the data acquisition module transmits state information of the intelligent inclinometer and the safety data monitored by the intelligent sensing equipment to the central server in data formats of 2-system and 16-system.
The data formatting module formats various safety data monitored by the intelligent inclinometer into a standard format specifically as follows: the data formatting module integrates the state information and the safety data of the intelligent sensing equipment with a 2-system format and a 16-system format as data formats into single data with 12 bytes, wherein the first byte is an identifier, the second byte is a data length, the third byte is an address code, the fourth byte is a command word, the fifth byte to the eleventh byte are data fields, and the 12 th byte is a checksum. As shown in the following table:
the monitoring method of the building safety intelligent monitoring and early warning system based on big data further comprises the following steps: the background server automatically generates a key data report according to the month of the data which is stored in the recent database for 3 months through the early warning analysis module, and stores the key data report into the historical database.
The early warning sending device sends early warning, and specifically, the early warning sending device informs an affiliate of early warning information in the modes of app, short message, network telephone and the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a building safety intelligent monitoring early warning system based on big data which characterized in that: the system comprises intelligent sensing equipment, a central server and a background server; the intelligent sensing equipment, the central server and the background server are in signal connection.
2. The intelligent building safety monitoring and early warning system based on big data as claimed in claim 1, wherein: the intelligent sensing equipment comprises building data monitoring equipment such as an intelligent inclinometer, an intelligent crack instrument, an intelligent settlement instrument, an intelligent hygrothermograph and an intelligent wind power anemoscope.
3. The intelligent building safety monitoring and early warning system based on big data as claimed in claim 1, wherein: the central server comprises a data acquisition module, a data transmission module and a data formatting module.
4. The intelligent building safety monitoring and early warning system based on big data as claimed in claim 1, wherein: the background server comprises a historical database, a recent database, a real-time database, an early warning analysis module and an early warning sending device.
5. The intelligent building safety monitoring and early warning system based on big data as claimed in claim 1, wherein: the early warning system further comprises a client applied to the intelligent terminal and a visual terminal used for observing data.
6. A monitoring method using the big data based intelligent building safety monitoring and early warning system as claimed in any one of claims 1 to 5, comprising:
the early warning system collects the safety data monitored by the intelligent sensing equipment through a data acquisition module of the central server and transmits the safety data to the central server through the data acquisition module;
after the central server receives the safety data, the data formatting module formats various safety data monitored by different intelligent sensing devices into a standard format, and the data transmission module transmits the safety data in the standard format to the background server;
after the background server receives the safety data in the standard format, the received safety data in the standard format is stored in a real-time database, and the safety data is displayed through a visual terminal;
the early warning analysis module analyzes data in the real-time database, and if the safety data exceed a threshold value, the early warning sending device sends early warning and keeps the data in the real-time database; if the security data is below the threshold, the data is retained in the recent database.
7. The monitoring method of the big data based intelligent monitoring and early warning system for building safety as claimed in claim 6, wherein the early warning system collects the safety data monitored by the intelligent sensing equipment through a data acquisition module of the central server, specifically, the data acquisition module transmits the state information of the intelligent sensing equipment and the safety data monitored by the intelligent sensing equipment to the central server in a 2-system and 16-system data format.
8. The monitoring method of the big data based intelligent monitoring and early warning system for building safety according to claim 7, wherein the data formatting module formats various safety data monitored by different intelligent sensing devices into a standard format specifically comprises: the data formatting module integrates the state information and the safety data of the intelligent sensing equipment with a 2-system format and a 16-system format as data formats into single data with 12 bytes, wherein the first byte is an identifier, the second byte is a data length, the third byte is an address code, the fourth byte is a command word, the fifth byte to the eleventh byte are data fields, and the 12 th byte is a checksum.
9. The monitoring method of the big data based intelligent building safety monitoring and early warning system according to claim 6, wherein the monitoring method of the big data based intelligent building safety monitoring and early warning system further comprises: the background server automatically generates a key data report according to the month of the data which is stored in the recent database for 3 months through the early warning analysis module, and stores the key data report into the historical database.
10. The monitoring method of the big data based intelligent monitoring and early warning system for building safety as claimed in claim 6, wherein the early warning sending device sends early warning, specifically, the early warning sending device notifies early warning information to the contacted person through app, short message, internet phone, and the like.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810512142.4A CN110597803A (en) | 2018-05-25 | 2018-05-25 | Building safety intelligent monitoring and early warning system and monitoring method based on big data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810512142.4A CN110597803A (en) | 2018-05-25 | 2018-05-25 | Building safety intelligent monitoring and early warning system and monitoring method based on big data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110597803A true CN110597803A (en) | 2019-12-20 |
Family
ID=68848565
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810512142.4A Pending CN110597803A (en) | 2018-05-25 | 2018-05-25 | Building safety intelligent monitoring and early warning system and monitoring method based on big data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110597803A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111578992A (en) * | 2020-05-13 | 2020-08-25 | 苏州洪昇新能源科技有限公司 | Enterprise building safety monitoring system |
CN115171351A (en) * | 2022-07-02 | 2022-10-11 | 青岛光蓝信息技术有限公司 | Building deformation safety monitoring and early warning system based on optical fiber information conduction |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070192078A1 (en) * | 2006-02-14 | 2007-08-16 | Edsa Micro Corporation | Systems and methods for real-time system monitoring and predictive analysis |
CN103309325A (en) * | 2013-06-07 | 2013-09-18 | 北京市建筑工程研究院有限责任公司 | Three-dimension-visualization dynamic monitoring system and monitoring method for prestressed steel structures |
CN103899357A (en) * | 2014-01-10 | 2014-07-02 | 北京华安奥特科技有限公司 | System and method for real-time visual monitoring and early warning of mine floor water disasters |
CN106453580A (en) * | 2016-10-21 | 2017-02-22 | 华南理工大学 | 6LoWPAN protocol based real-time IoT (Internet of Things) environment monitoring system |
CN107067690A (en) * | 2017-01-17 | 2017-08-18 | 中山大学 | A kind of Tunnel automation monitoring system and its monitoring method based on ZigBee |
CN107274645A (en) * | 2017-08-15 | 2017-10-20 | 安徽婧文科技有限公司 | Building intelligent method for early warning and system based on big data |
-
2018
- 2018-05-25 CN CN201810512142.4A patent/CN110597803A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070192078A1 (en) * | 2006-02-14 | 2007-08-16 | Edsa Micro Corporation | Systems and methods for real-time system monitoring and predictive analysis |
CN103309325A (en) * | 2013-06-07 | 2013-09-18 | 北京市建筑工程研究院有限责任公司 | Three-dimension-visualization dynamic monitoring system and monitoring method for prestressed steel structures |
CN103899357A (en) * | 2014-01-10 | 2014-07-02 | 北京华安奥特科技有限公司 | System and method for real-time visual monitoring and early warning of mine floor water disasters |
CN106453580A (en) * | 2016-10-21 | 2017-02-22 | 华南理工大学 | 6LoWPAN protocol based real-time IoT (Internet of Things) environment monitoring system |
CN107067690A (en) * | 2017-01-17 | 2017-08-18 | 中山大学 | A kind of Tunnel automation monitoring system and its monitoring method based on ZigBee |
CN107274645A (en) * | 2017-08-15 | 2017-10-20 | 安徽婧文科技有限公司 | Building intelligent method for early warning and system based on big data |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111578992A (en) * | 2020-05-13 | 2020-08-25 | 苏州洪昇新能源科技有限公司 | Enterprise building safety monitoring system |
CN115171351A (en) * | 2022-07-02 | 2022-10-11 | 青岛光蓝信息技术有限公司 | Building deformation safety monitoring and early warning system based on optical fiber information conduction |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN204926428U (en) | Gas safety monitored control system based on thing networking | |
CN104134320B (en) | Lightning protection online environment monitoring alarming network system | |
CN110927349B (en) | Granary gas monitoring method based on Lora | |
CN110597803A (en) | Building safety intelligent monitoring and early warning system and monitoring method based on big data | |
CN111068228A (en) | High-rise intelligent digital fire extinguishing system, fire extinguisher supervision system and supervision method | |
CN212593670U (en) | High-rise intelligent digital fire extinguishing system and fire extinguisher supervision system | |
CN103325218A (en) | Wireless gas alarm control system | |
CN104318731B (en) | Based on petroleum chemical enterprise's fire-fighting integrated information management platform and the method for Internet of Things | |
CN107504951A (en) | The real-time monitoring system and its monitoring method of a kind of communication iron tower | |
CN104658207A (en) | Alarm system for monitoring abnormal situations of road guardrail | |
CN104318394B (en) | Communication processor intelligent warning system and method based on more action alert modes | |
CN111490593A (en) | Urban cable prevents external damage risk assessment early warning platform | |
CN101514923A (en) | On-line temperature control system for high-voltage switch cabinet | |
CN213183006U (en) | Wireless smoke sensing linkage emergency monitoring system | |
CN212627971U (en) | Intelligent management system of fire hydrant | |
CN204645846U (en) | A kind of door lock monitoring system | |
CN103389361B (en) | Gas monitor, early warning and analysis system and gas monitor, early warning and analysis method | |
CN112542023A (en) | Resident house intelligent security system | |
CN207115684U (en) | A kind of wireless fire disaster prior-warning device | |
CN204537400U (en) | Leakage Gas security alarm terminal | |
CN215916326U (en) | Fire-fighting remote monitoring and maintenance patrol management system for maintenance project | |
CN204166668U (en) | Based on petroleum chemical enterprise's fire-fighting integrated information management platform of Internet of Things | |
CN218513021U (en) | Lightning protection, security protection, fire control integration coordinated control system | |
CN110751814A (en) | Electrical fire monitoring system for rail transit and early warning analysis method thereof | |
CN204926395U (en) | Security against fire alarm system of family |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191220 |