CN113506421A - Building intelligent security system - Google Patents
Building intelligent security system Download PDFInfo
- Publication number
- CN113506421A CN113506421A CN202110668241.3A CN202110668241A CN113506421A CN 113506421 A CN113506421 A CN 113506421A CN 202110668241 A CN202110668241 A CN 202110668241A CN 113506421 A CN113506421 A CN 113506421A
- Authority
- CN
- China
- Prior art keywords
- module
- level
- building
- grade
- fire
- 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 claims abstract description 57
- 238000001514 detection method Methods 0.000 claims abstract description 43
- 230000010485 coping Effects 0.000 claims abstract description 35
- 230000007246 mechanism Effects 0.000 claims abstract description 24
- 230000007123 defense Effects 0.000 claims abstract description 10
- 239000007789 gas Substances 0.000 claims description 41
- 230000006399 behavior Effects 0.000 claims description 31
- 238000012423 maintenance Methods 0.000 claims description 6
- 239000002737 fuel gas Substances 0.000 claims description 3
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 2
- 239000003546 flue gas Substances 0.000 claims description 2
- 230000004044 response Effects 0.000 abstract description 5
- 238000000034 method Methods 0.000 abstract description 4
- 230000008569 process Effects 0.000 abstract description 2
- 230000009471 action Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000003211 malignant effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
-
- 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
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Alarm Systems (AREA)
Abstract
The embodiment of the application discloses an intelligent building security system which comprises a control module, a storage module, a big data module, a monitoring module and a defense center; the monitoring module comprises an electrical monitoring unit, a fire monitoring unit and a video monitoring unit, wherein the electrical monitoring unit comprises a voltage detection circuit and a gas detection circuit, the fire monitoring unit comprises a fire detection device, and the video monitoring unit comprises a monitor; the defense center comprises a grade judgment module and a protection response module, and the protection response module is connected with the urban safety management mechanism through a control module; the grade judgment module is connected with the electrical monitoring unit, the fire monitoring unit and the video monitoring unit and used for judging the safety protection grade, and the control module controls the protection coping module to make corresponding protection coping according to the judgment result. The building intelligent security system can comprehensively monitor the safety of the building in real time and intelligently process the building when an accident happens.
Description
Technical Field
The application relates to the technical field of building security, in particular to a building intelligent security system.
Background
The building security is always the center of gravity of the property of each residential district, the property of a shopping mall and the property of a building, and deeply influences the living environment and the working environment of people.
Chinese patent with publication number CN201610431444.X discloses an overground and underground space facility security management informatization system, and belongs to the technical field of urban public safety. The safety management system solves the problems of infrastructure and geology, and safety management of underground pipelines and equipment in the prior art. The system comprises an overground space facility security management informatization system, an underground space facility security management informatization system and an integrated fusion application management platform, wherein the overground space facility security management informatization system comprises a building internal operation pipeline monitoring and early warning system, a dangerous gas monitoring system and an exhaust management system; the invention discloses an underground space facility security protection management informatization system which comprises an infrastructure and geological security management system and an underground pipeline and equipment security management system. However, in this kind of building safety protection mechanism, can not protect the monitoring to multiple potential safety hazard to lead to security protection system to have great security vulnerability.
Disclosure of Invention
The application aims at solving the technical problem and provides the building intelligent security system which comprehensively monitors the safety of the building in real time and intelligently processes the safety when an accident happens.
In order to achieve the purpose, the application discloses an intelligent building security system which comprises a control module, a storage module, a big data module, a monitoring module and a defense center; the monitoring module comprises an electrical monitoring unit, a fire monitoring unit and a video monitoring unit which are respectively connected with the control module, the electrical monitoring unit comprises a voltage detection circuit and a gas detection circuit which are arranged in the building, the fire monitoring unit comprises a fire detection device arranged in the building, and the video monitoring unit comprises monitors arranged in the building and outside the building; the defense center comprises a grade judgment module and a protection coping module which are respectively connected with the control module, and the protection coping module is connected with the urban safety management mechanism through the control module and is used for triggering the urban safety management mechanism to perform protection coping; the grade judgment module is connected with the electrical monitoring unit, the fire monitoring unit and the video monitoring unit and is respectively used for carrying out safety protection grade judgment according to a voltage detection result, a gas leakage detection result, a fire detection result and a video monitoring result and feeding back the judgment result to the control module in real time, and the control module controls the protection coping module to make corresponding protection coping according to the judgment result.
Preferably, the level judgment module comprises an electrical disaster judgment unit, a fire level judgment unit and a specific personnel behavior judgment unit; the electrical disaster judgment unit is connected with the voltage detection circuit and is used for detecting the safety of each circuit in the building and judging the circuit fault level N of the building according to the number N of circuit faults of each floor; the electrical disaster judgment unit is connected with the gas detection circuit and is used for detecting the gas concentration in the gas pipeline and the household room and judging the gas leakage grade P of the building according to the pipeline leakage quantity P1 and the gas concentration P2; the fire grade judging unit is connected with the fire detection device and is used for detecting the flue gas flow velocity M at each position in the building and judging the fire grade M according to the detection result; the specific personnel behavior judgment unit is connected with the monitor and used for carrying out specific personnel behavior prejudgment on the visitor image and the behavior video acquired by the monitor under the data support of the big data module and the storage module and judging the safety level Q of specific personnel according to the prejudgment result.
Preferably, the judging the circuit fault level N of the building according to the number N of circuit faults of each floor specifically includes: when N is 0, the circuit fault level N is zero level; when n is 1, the circuit fault level is one level; when n is more than 1 and less than T, T is the number of residents of a single building, and the circuit fault level is two levels; when N is T, the circuit fault level N is three levels.
Preferably, when the circuit fault level N is zero level, the protection countermeasure module does not operate; and when the circuit fault grade N is a first grade, a second grade and a third grade, the protection coping module displays fault place information and triggers a power maintenance step of the urban safety management mechanism.
Preferably, the judging the gas leakage level P of the building according to the pipeline leakage number P1 and the gas concentration P2 specifically comprises: when P1 is 0 or P2 is zero, the fuel gas leakage grade P is zero; when P1 > 1 or P2 > 1, the gas leakage grade P is one grade.
Preferably, when the gas leakage level P is zero level, the protection countermeasure module does not operate; and when the gas leakage grade P is the first grade, the protection coping module triggers a gas maintenance step of the urban safety management mechanism and dials a fire alarm call.
Preferably, the judging the fire level M according to the detection result specifically includes: when M is less than or equal to 1M/s, the fire grade M is zero grade; when M is more than 1M/s, the fire grade M is first grade.
Preferably, when the fire level M is zero level, the protection countermeasure module does not operate; and when the fire level M is a first level, the protection corresponding module plays a fire escape step of the urban safety management mechanism and dials a fire alarm telephone.
Preferably, the judging the safety level Q of the specific person according to the pre-judging result specifically includes: the specific personnel behavior judging unit acquires visitor images and behavior videos shot by the monitor, transmits the images and the videos to the big data module and the storage module, and performs online specific personnel image comparison and specific personnel behavior comparison in databases of the big data module and the storage module; when the image comparison of the specific personnel on the network and the behavior comparison of the specific personnel are not matched, the safety level Q of the specific personnel is zero level; when the behaviors of the specific personnel are matched, the safety level Q of the specific personnel is one level; and when the images of the specific personnel on the network are matched, the safety level Q of the specific personnel is two levels.
Preferably, when the specific personnel safety level Q is zero level, the protection coping module does not act; when the safety level Q of the specific personnel is first level, the protection coping module gives an alarm to prompt building management personnel to go to the corresponding visitor position for on-site viewing; when the safety level Q of the specific personnel is two levels, the protection coping module gives an alarm to prompt building management personnel to look up to the corresponding visitor position on site and triggers the city safety management mechanism to make a safety alarm call.
The utility model provides a building intelligent security system, through electric monitoring unit, fire monitoring unit, video monitoring unit respectively to electric safety, fire detection, latent specific personnel and specific personnel action monitor, simultaneously, the grade is judged the module and is made grade judgement to the potential safety hazard through big data module to make corresponding hidden danger processing step according to city safety management mechanism through the protection reply module, avoid the malignant change of hidden danger or the further development of accident. The building intelligent security system can comprehensively monitor the electrical safety, fire detection and potential crime accidents of the building in real time, and intelligently performs safety protection actions through a defense center when potential safety hazards and accidents occur, so that the reliability of the building security system is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a structural block diagram of a building intelligent security system in an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example (b): referring to fig. 1, the intelligent building security system includes a control module, a storage module, a big data module, a monitoring module, and a defense center. In this embodiment, the control module may be any one of the prior art, such as a PLC control cabinet or a microcontroller. The storage module may be any one of the prior art, such as a cloud storage, a hard disk, an optical disk, and the like. The big data module can be any one of the prior art, and is connected to the internet through the gateway device, and reads corresponding data information in the internet.
Specifically, the method comprises the following steps:
the monitoring module comprises an electrical monitoring unit, a fire monitoring unit and a video monitoring unit which are respectively connected with the control module, the electrical monitoring unit comprises a voltage detection circuit and a gas detection circuit which are arranged in the building, the fire monitoring unit comprises a fire detection device arranged in the building, and the video monitoring unit comprises monitors arranged in the building and outside the building. The voltage detection circuit, the gas detection circuit, the fire detection device and the monitor can be any one of the prior art.
The defense center comprises a grade judgment module and a protection response module which are respectively connected with the control module, and the protection response module is connected with the urban safety management mechanism through the control module and is used for triggering the urban safety management mechanism to perform protection response; the grade judgment module is connected with the electric monitoring unit, the fire monitoring unit and the video monitoring unit and is respectively used for carrying out safety protection grade judgment according to a voltage detection result, a gas leakage detection result, a fire detection result and a video monitoring result and feeding back the judgment result to the control module in real time, and the control module controls the protection coping module to make corresponding protection coping according to the judgment result. It should be noted that, the urban safety management mechanism is an urban public safety technology in the prior art, and as known by those of ordinary skill in the art, an emergency treatment method in the face of various potential safety hazards or safety accidents can be quickly obtained according to the urban public safety technology. And after receiving the grade judgment result of the grade judgment module, the protection handling module matches the corresponding safety protection information with the city safety management mechanism and performs corresponding safety processing action.
Based on the structure, the building intelligent security system of this embodiment can comprehensively carry out real time monitoring to the electrical safety, fire detection, the latent crime accident of building to when the potential safety hazard and accident appear, carry out the safety protection action intelligently through the defense center, improve building security system's reliability.
As a preferred embodiment of this embodiment, the level judgment module includes an electrical disaster judgment unit, a fire level judgment unit, and a specific person behavior judgment unit.
And the electrical disaster judgment unit is connected with the voltage detection circuit and used for detecting the safety of each circuit in the building and judging the circuit fault level N of the building according to the number N of circuit faults of each floor.
In this embodiment, the determining the circuit fault level N of the building according to the number N of circuit faults of each floor specifically includes: when N is 0, the circuit fault level N is zero level; when n is 1, the circuit fault level is one level; when n is more than 1 and less than T, T is the number of residents of a single building, and the circuit fault level is two levels; when N equals T, the circuit fault level N is three levels.
When the circuit fault level N is zero level, the protection coping module does not act; and when the circuit fault grade N is a first grade, a second grade and a third grade, the protection coping module displays fault place information and triggers a power maintenance step of an urban safety management mechanism.
In this embodiment, the determining the gas leakage level P of the building according to the pipeline leakage amount P1 and the gas concentration P2 specifically includes: when P1 is 0 or P2 is zero, the fuel gas leakage level P is zero; when P1 > 1 or P2 > 1, the gas leakage grade P is one grade.
When the gas leakage grade P is zero grade, the protection coping module does not act; and when the gas leakage grade P is the first grade, the protection coping module triggers a gas maintenance step of an urban safety management mechanism and dials a fire alarm call.
The electric disaster judgment unit is connected with the gas detection circuit and used for detecting the gas concentration in the gas pipeline and the household room and judging the gas leakage grade P of the building according to the pipeline leakage quantity P1 and the gas concentration P2. And the fire grade judging unit is connected with the fire detection device and used for detecting the smoke flow velocity M of each part in the building and judging the fire grade M according to the detection result.
In this embodiment, the determining the fire level M according to the detection result specifically includes: when M is less than or equal to 1M/s, the fire grade M is zero grade; when M is more than 1M/s, the fire grade M is first grade.
When the fire level M is zero level, the protection coping module does not act; and when the fire level M is the first level, the protection coping module plays a fire escape step of the urban safety management mechanism and dials a fire alarm telephone.
The specific personnel behavior judgment unit is connected with the monitor and used for carrying out specific personnel behavior prejudgment on the visitor image and the behavior video acquired by the monitor under the data support of the big data module and the storage module and judging the safety level Q of specific personnel according to the prejudgment result.
In this embodiment, the determining the safety level Q of the specific person according to the pre-determined result specifically includes: the specific personnel behavior judging unit acquires visitor images and behavior videos shot by the monitor, transmits the images and videos to the big data module and the storage module, and performs online specific personnel image comparison and specific personnel behavior comparison in databases of the big data module and the storage module; when the image comparison of the specific personnel on the network and the behavior comparison of the specific personnel are not matched, the safety level Q of the specific personnel is zero level; when the specific personnel behaviors are matched in a comparison mode, the safety level Q of the specific personnel is one level; when the images of the specific personnel on the network are matched, the safety level Q of the specific personnel is two levels. It should be noted that, in this embodiment, the behavior action that destroys the public environment and the blackened visitor image may be stored in the storage module, and when the specific personnel behavior determination unit determines that any one of the behavior that destroys the public environment and the blackened visitor is successfully matched, the specific personnel security level Q is determined as one level, so as to avoid the occurrence of the behavior that destroys the public environment and the occurrence of the problem that the blackened visitor enters the building.
When the safety level Q of a specific person is zero level, the protection coping module does not act; when the safety level Q of a specific person is first level, the protection coping module gives an alarm to prompt a building manager to go to a corresponding visitor position for on-site checking; when the safety level Q of a specific person is the second level, the protection coping module gives an alarm to prompt building management personnel to go to a corresponding visitor position for on-site viewing and triggers a city safety management mechanism to make a safety alarm call.
The working principle is as follows: the utility model provides a building intelligent security system, through electric monitoring unit, fire monitoring unit, video monitoring unit respectively to electric safety, fire detection, latent specific personnel and specific personnel action monitor, simultaneously, the grade is judged the module and is made grade judgement to the potential safety hazard through big data module to make corresponding hidden danger processing step according to city safety management mechanism through the protection reply module, avoid the malignant change of hidden danger or the further development of accident.
The foregoing description is for the purpose of illustration and is not for the purpose of limitation. Many embodiments and many applications other than the examples provided will be apparent to those of skill in the art upon reading the above description. The scope of the present teachings should, therefore, be determined not with reference to the above description, but should instead be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled. The disclosures of all articles and references, including patent applications and publications, are hereby incorporated by reference for all purposes. The omission in the foregoing claims of any aspect of subject matter that is disclosed herein is not intended to forego the subject matter and should not be construed as an admission that the applicant does not consider such subject matter to be part of the disclosed subject matter.
Claims (10)
1. An intelligent building security system is characterized by comprising a control module, a storage module, a big data module, a monitoring module and a defense center;
the monitoring module comprises an electrical monitoring unit, a fire monitoring unit and a video monitoring unit which are respectively connected with the control module, the electrical monitoring unit comprises a voltage detection circuit and a gas detection circuit which are arranged in the building, the fire monitoring unit comprises a fire detection device arranged in the building, and the video monitoring unit comprises monitors arranged in the building and outside the building;
the defense center comprises a grade judgment module and a protection coping module which are respectively connected with the control module, and the protection coping module is connected with the urban safety management mechanism through the control module and is used for triggering the urban safety management mechanism to perform protection coping; the grade judgment module is connected with the electrical monitoring unit, the fire monitoring unit and the video monitoring unit and is respectively used for carrying out safety protection grade judgment according to a voltage detection result, a gas leakage detection result, a fire detection result and a video monitoring result and feeding back the judgment result to the control module in real time, and the control module controls the protection coping module to make corresponding protection coping according to the judgment result.
2. The building intelligent security system according to claim 1, wherein the level judgment module comprises an electrical disaster judgment unit, a fire level judgment unit, and a specific personnel behavior judgment unit; the electrical disaster judgment unit is connected with the voltage detection circuit and is used for detecting the safety of each circuit in the building and judging the circuit fault level N of the building according to the number N of circuit faults of each floor; the electrical disaster judgment unit is connected with the gas detection circuit and is used for detecting the gas concentration in the gas pipeline and the household room and judging the gas leakage grade P of the building according to the pipeline leakage quantity P1 and the gas concentration P2; the fire grade judging unit is connected with the fire detection device and is used for detecting the flue gas flow velocity M at each position in the building and judging the fire grade M according to the detection result; the specific personnel behavior judgment unit is connected with the monitor and used for carrying out specific personnel behavior prejudgment on the visitor image and the behavior video acquired by the monitor under the data support of the big data module and the storage module and judging the safety level Q of specific personnel according to the prejudgment result.
3. The building intelligent security system according to claim 2, wherein the judging of the circuit fault level N of the building according to the number N of circuit faults of each floor specifically comprises: when N is 0, the circuit fault level N is zero level; when n is 1, the circuit fault level is one level; when n is more than 1 and less than T, T is the number of residents of a single building, and the circuit fault level is two levels; when N is T, the circuit fault level N is three levels.
4. The building intelligent security system as claimed in claim 3, wherein when the circuit fault level N is zero level, the protection coping module does not act; and when the circuit fault grade N is a first grade, a second grade and a third grade, the protection coping module displays fault place information and triggers a power maintenance step of the urban safety management mechanism.
5. The building intelligent security system according to claim 2, wherein the judging of the building gas leakage level P according to the pipeline leakage quantity P1 and the gas concentration P2 specifically comprises: when P1 is 0 or P2 is zero, the fuel gas leakage grade P is zero; when P1 > 1 or P2 > 1, the gas leakage grade P is one grade.
6. The building intelligent security system according to claim 5, wherein when the gas leakage level P is zero level, the protection coping module does not act; and when the gas leakage grade P is the first grade, the protection coping module triggers a gas maintenance step of the urban safety management mechanism and dials a fire alarm call.
7. The building intelligent security system according to claim 2, wherein the determining of the fire level M according to the detection result specifically comprises: when M is less than or equal to 1M/s, the fire grade M is zero grade; when M is more than 1M/s, the fire grade M is first grade.
8. The building intelligent security system according to claim 7, wherein when the fire level M is zero level, the protection coping module does not act; and when the fire level M is a first level, the protection corresponding module plays a fire escape step of the urban safety management mechanism and dials a fire alarm telephone.
9. The building intelligent security system according to claim 2, wherein the determining of the safety class Q of a specific person according to the pre-determined result specifically comprises: the specific personnel behavior judging unit acquires visitor images and behavior videos shot by the monitor, transmits the images and the videos to the big data module and the storage module, and performs online specific personnel image comparison and specific personnel behavior comparison in databases of the big data module and the storage module; when the image comparison of the specific personnel on the network and the behavior comparison of the specific personnel are not matched, the safety level Q of the specific personnel is zero level; when the behaviors of the specific personnel are matched, the safety level Q of the specific personnel is one level; and when the images of the specific personnel on the network are matched, the safety level Q of the specific personnel is two levels.
10. The building intelligent security system of claim 9, wherein when the specific personnel security level Q is zero level, the protection countermeasure module does not act; when the safety level Q of the specific personnel is first level, the protection coping module gives an alarm to prompt building management personnel to go to the corresponding visitor position for on-site viewing; when the safety level Q of the specific personnel is two levels, the protection coping module gives an alarm to prompt building management personnel to look up to the corresponding visitor position on site and triggers the city safety management mechanism to make a safety alarm call.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110668241.3A CN113506421A (en) | 2021-06-16 | 2021-06-16 | Building intelligent security system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110668241.3A CN113506421A (en) | 2021-06-16 | 2021-06-16 | Building intelligent security system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113506421A true CN113506421A (en) | 2021-10-15 |
Family
ID=78009922
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110668241.3A Pending CN113506421A (en) | 2021-06-16 | 2021-06-16 | Building intelligent security system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113506421A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116820059A (en) * | 2023-08-31 | 2023-09-29 | 北京中创慧谷数据科技有限公司 | Big data platform management method and system for building operation and maintenance |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101162545A (en) * | 2007-11-20 | 2008-04-16 | 华南理工大学 | Tall building fire light-temperature composite intelligent monitoring prediction device |
| CN107065629A (en) * | 2017-06-03 | 2017-08-18 | 合肥佳洋电子科技有限公司 | A kind of Ground Connection in Intelligent Building monitoring system |
| CN107169906A (en) * | 2017-04-16 | 2017-09-15 | 悠泊物联网科技(上海)有限公司 | A kind of smart security guard and alarm control system |
| CN207938150U (en) * | 2018-04-04 | 2018-10-02 | 安徽云智科技信息股份有限公司 | A kind of building safety-protection system |
| CN108646657A (en) * | 2018-06-15 | 2018-10-12 | 温岭市志创网络科技有限公司 | A kind of intelligent building monitoring system based on big data |
| CN109102684A (en) * | 2018-08-17 | 2018-12-28 | 中国联合网络通信集团有限公司 | Wisdom fire-fighting system and its working method |
| CN208673138U (en) * | 2018-10-29 | 2019-03-29 | 电子科技大学中山学院 | Based on big data wisdom building monitored control system |
| CN110170137A (en) * | 2019-06-13 | 2019-08-27 | 杭州中潜科技有限公司 | A kind of wisdom fire-fighting management system and management method with escape route |
| CN111047821A (en) * | 2019-12-13 | 2020-04-21 | 徐州市京庆隆信息科技有限公司 | Electronic monitoring system of intelligent building |
| CN111210588A (en) * | 2020-03-03 | 2020-05-29 | 江苏中数智慧信息科技有限公司 | Intelligent fire-fighting linkage system |
| CN112216055A (en) * | 2020-09-24 | 2021-01-12 | 佛山市天然气高压管网有限公司 | Fire early warning detection method and system for gas field station |
-
2021
- 2021-06-16 CN CN202110668241.3A patent/CN113506421A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101162545A (en) * | 2007-11-20 | 2008-04-16 | 华南理工大学 | Tall building fire light-temperature composite intelligent monitoring prediction device |
| CN107169906A (en) * | 2017-04-16 | 2017-09-15 | 悠泊物联网科技(上海)有限公司 | A kind of smart security guard and alarm control system |
| CN107065629A (en) * | 2017-06-03 | 2017-08-18 | 合肥佳洋电子科技有限公司 | A kind of Ground Connection in Intelligent Building monitoring system |
| CN207938150U (en) * | 2018-04-04 | 2018-10-02 | 安徽云智科技信息股份有限公司 | A kind of building safety-protection system |
| CN108646657A (en) * | 2018-06-15 | 2018-10-12 | 温岭市志创网络科技有限公司 | A kind of intelligent building monitoring system based on big data |
| CN109102684A (en) * | 2018-08-17 | 2018-12-28 | 中国联合网络通信集团有限公司 | Wisdom fire-fighting system and its working method |
| CN208673138U (en) * | 2018-10-29 | 2019-03-29 | 电子科技大学中山学院 | Based on big data wisdom building monitored control system |
| CN110170137A (en) * | 2019-06-13 | 2019-08-27 | 杭州中潜科技有限公司 | A kind of wisdom fire-fighting management system and management method with escape route |
| CN111047821A (en) * | 2019-12-13 | 2020-04-21 | 徐州市京庆隆信息科技有限公司 | Electronic monitoring system of intelligent building |
| CN111210588A (en) * | 2020-03-03 | 2020-05-29 | 江苏中数智慧信息科技有限公司 | Intelligent fire-fighting linkage system |
| CN112216055A (en) * | 2020-09-24 | 2021-01-12 | 佛山市天然气高压管网有限公司 | Fire early warning detection method and system for gas field station |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116820059A (en) * | 2023-08-31 | 2023-09-29 | 北京中创慧谷数据科技有限公司 | Big data platform management method and system for building operation and maintenance |
| CN116820059B (en) * | 2023-08-31 | 2023-11-10 | 北京中创慧谷数据科技有限公司 | Big data platform management method and system for building operation and maintenance |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Vijayalakshmi et al. | Internet of Things technology for fire monitoring system | |
| Su et al. | Data-driven fire safety management at building construction sites: Leveraging CNN | |
| Xie et al. | Physical and cybersecurity in a smart grid environment | |
| CN109859431B (en) | Method, system, equipment and medium for detecting fire safety hidden danger | |
| CN103378991A (en) | Online service abnormity monitoring method and monitoring system thereof | |
| KR102057319B1 (en) | A management system of alarm contained gas and vibration sensor | |
| KR102480449B1 (en) | Disaster prediction method using multiple sensors | |
| CN109920193A (en) | A kind of electric disaster hidden-trouble intelligent detecting method, system, equipment and medium | |
| KR20220071880A (en) | Digital twin disaster management system customized for underground public areas | |
| CN113506421A (en) | Building intelligent security system | |
| CN114049738A (en) | Building electrical fire identification method and system based on smoke, temperature and electrical quantity | |
| Nakayama et al. | Qualitative risk analysis of the overhead hydrogen piping at the conceptual process design stage | |
| JP2011151656A (en) | Disaster situation display system | |
| KR20150061289A (en) | Fire pathway prediction system based USN | |
| CN116630885A (en) | Processing method, device and equipment for realizing community security index | |
| Safayet et al. | Development of building information modeling (BIM)-based real-time fire alert system to reduce fire impact in Bangladesh | |
| CN216927797U (en) | Emergency disaster prevention management system | |
| KR20150061251A (en) | Fire service system based USN | |
| CN109948937B (en) | Method, system, equipment and medium for detecting potential safety hazard of artificial intelligence self-learning | |
| CN206039786U (en) | A security system for household security | |
| US20220128467A1 (en) | Detecting and Monitoring Gas Leaks in an Industrial Setting | |
| Jack et al. | Improved Fire Safety and protection model for smart buildings with internet of things | |
| Dong et al. | Research on vulnerability analysis model of security accident system in petrochemical enterprises | |
| Mauludi et al. | Forest fire alert system | |
| Fuerte et al. | Fire Security Systems Analysis and Internet of Things Implications |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211015 |