CN117576854B - Automatic alarm method and system based on security and fire protection integration - Google Patents
Automatic alarm method and system based on security and fire protection integration Download PDFInfo
- Publication number
- CN117576854B CN117576854B CN202311648318.6A CN202311648318A CN117576854B CN 117576854 B CN117576854 B CN 117576854B CN 202311648318 A CN202311648318 A CN 202311648318A CN 117576854 B CN117576854 B CN 117576854B
- Authority
- CN
- China
- Prior art keywords
- monitoring area
- security
- signal
- fire
- smoke
- 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
- 238000000034 method Methods 0.000 title claims abstract description 50
- 230000010354 integration Effects 0.000 title claims abstract description 31
- 238000012544 monitoring process Methods 0.000 claims abstract description 760
- 239000000779 smoke Substances 0.000 claims abstract description 247
- 238000012545 processing Methods 0.000 claims abstract description 124
- 230000008859 change Effects 0.000 claims description 170
- 230000004044 response Effects 0.000 claims description 129
- 230000002159 abnormal effect Effects 0.000 claims description 95
- 238000004458 analytical method Methods 0.000 claims description 47
- 230000005540 biological transmission Effects 0.000 claims description 37
- 238000001514 detection method Methods 0.000 claims description 33
- 238000004364 calculation method Methods 0.000 claims description 31
- 238000005457 optimization Methods 0.000 claims description 30
- 238000004140 cleaning Methods 0.000 claims description 26
- 230000006399 behavior Effects 0.000 claims description 20
- 238000005259 measurement Methods 0.000 claims description 19
- 230000008030 elimination Effects 0.000 claims description 16
- 238000003379 elimination reaction Methods 0.000 claims description 16
- 238000009499 grossing Methods 0.000 claims description 14
- 206010000117 Abnormal behaviour Diseases 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 11
- 238000012937 correction Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 5
- 238000003909 pattern recognition Methods 0.000 claims description 4
- 238000005070 sampling Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 6
- 230000035945 sensitivity Effects 0.000 description 6
- 230000007613 environmental effect Effects 0.000 description 4
- 230000001960 triggered effect Effects 0.000 description 4
- 230000003993 interaction Effects 0.000 description 3
- 230000002265 prevention Effects 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 230000008447 perception Effects 0.000 description 2
- 238000013468 resource allocation Methods 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 230000009897 systematic effect Effects 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
-
- 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
- G08B25/006—Alarm destination chosen according to type of event, e.g. in case of fire phone the fire service, in case of medical emergency phone the ambulance
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Emergency Management (AREA)
- Business, Economics & Management (AREA)
- Computing Systems (AREA)
- Computer Security & Cryptography (AREA)
- Chemical & Material Sciences (AREA)
- Public Health (AREA)
- Analytical Chemistry (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Fire Alarms (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to the technical field of safety alarm, in particular to an automatic alarm method and system based on security and fire protection integration. The method comprises the following steps: the method comprises the steps that sensor networks are integrated with sensors of a security system and a fire control system in a security and fire control monitoring area to obtain a security and fire control integrated sensor network, wherein the security and fire control integrated sensor network comprises a smoke sensor, a temperature sensor, a security and fire control monitoring sensor and an intelligent processing unit, and the smoke sensor, the temperature sensor and the security and fire control monitoring sensor are electrically connected with the intelligent processing unit; and performing environment sensing treatment on the security and fire protection monitoring area through a smoke sensor and a temperature sensor in the security and fire protection integrated sensing network to obtain smoke information data and temperature information data of the monitoring area. The invention can realize more intelligent and more accurate safety automatic alarm.
Description
Technical Field
The invention relates to the technical field of safety alarm, in particular to an automatic alarm method and system based on security and fire protection integration.
Background
Conventional alarm systems are generally classified into security systems and fire protection systems, which are relatively independent in detecting and responding to security problems. However, the information interaction between these two systems is sometimes not sufficiently timely and accurate, resulting in long response times or false positives in some emergency situations.
Disclosure of Invention
Based on the above, the present invention is needed to provide an automatic alarm method based on security and fire protection integration, so as to solve at least one of the above technical problems.
In order to achieve the purpose, the automatic alarm method based on security and fire protection integration comprises the following steps:
step S1: the method comprises the steps that sensor networks are integrated with sensors of a security system and a fire control system in a security and fire control monitoring area to obtain a security and fire control integrated sensor network, wherein the security and fire control integrated sensor network comprises a smoke sensor, a temperature sensor, a security and fire control monitoring sensor and an intelligent processing unit, and the smoke sensor, the temperature sensor and the security and fire control monitoring sensor are electrically connected with the intelligent processing unit; performing environment sensing treatment on a security and fire protection monitoring area through a smoke sensor and a temperature sensor in the security and fire protection integrated sensing network to obtain smoke information data and temperature information data of the monitoring area;
Step S2: transmitting the smoke information data and the temperature information data of the monitoring area to an intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to detect a change signal, so as to obtain a smoke change signal and a temperature change signal of the monitoring area; carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke change signal and the temperature change signal of the monitoring area to obtain a fire signal of the monitoring area;
Step S3: the security monitoring sensor in the security and fire control integrated sensing network is used for performing security monitoring on the security and fire control monitoring area to obtain security information data of the monitoring area; transmitting the security information data of the monitoring area to an intelligent processing unit through a data transmission channel to detect security abnormal signals, and obtaining the security abnormal signals of the monitoring area;
Step S4: carrying out emergency linkage analysis on the security and firefighting monitoring area according to the fire signals of the monitoring area and the security and firefighting abnormal signals of the monitoring area to obtain emergency condition information data; according to the emergency situation information data, carrying out automatic alarm processing on the security and protection firefighting monitoring area to obtain an emergency alarm signal of the monitoring area;
Step S5: performing response measure generation analysis on the emergency alarm signal of the monitoring area to obtain emergency response measures of departments of the monitoring area; performing cooperative scheduling treatment on the security and protection fire protection monitoring area according to emergency response measures of departments of the monitoring area to obtain alarm response scheduling information data of the monitoring area; and carrying out feedback learning optimization on the security and fire protection integrated sensing network according to the monitoring area alarm response scheduling information data to obtain the security and fire protection integrated alarm optimization network.
According to the invention, firstly, the security system and the sensors of the fire control system in the security and fire control monitoring area are subjected to sensor network integration treatment, so that systematic sensor integration can be realized, and a security and fire control integrated sensor network is formed. The network comprises the smoke sensor, the temperature sensor, the security monitoring sensor and the intelligent processing unit, wherein the smoke sensor, the temperature sensor and the security monitoring sensor are electrically connected with the intelligent processing unit, comprehensive and efficient environment sensing capability can be provided for a monitoring area, the information of the security and fire protection system is effectively integrated, the integrity and the response speed of the system are improved, and accordingly information interaction between the security and protection system and the fire protection system can be timely and accurately achieved. Meanwhile, the smoke sensor and the temperature sensor in the security and fire protection integrated sensing network are used for performing environment sensing treatment on the security and fire protection monitoring area, so that the smoke and temperature change condition in the security and fire protection monitoring area can be monitored in real time, important data support is provided for prevention and emergency treatment of fire, and the comprehensiveness and accuracy of security monitoring are ensured. And secondly, the smoke information data in the monitoring area and the temperature information data in the monitoring area are transmitted to the intelligent processing unit by using the data transmission channel in the security and fire protection integrated sensing network to detect the change signal, so that key changes in the monitoring data can be further refined, the fire signal can be accurately distinguished, the false alarm rate is reduced, the reliability and the sensitivity of the security and fire protection integrated sensing network are improved, and the change mode in the environment is also recognized, so that the potential fire risk is accurately positioned and judged. Through the analysis of the smoke and temperature change signals, the fire disaster signals are identified, and the real-time signal processing not only improves the accuracy of fire disaster identification, but also ensures the quick response to emergency events. Then, security monitoring is carried out on the security and fire control monitoring area by using a security and fire control monitoring sensor in the security and fire control integrated sensing network so as to obtain comprehensive and accurate security information data. The key of this step is that advanced sensor technology is used to monitor environmental changes in real time, including but not limited to security intrusion, network attack, etc., thereby constructing a comprehensive monitoring basis. In addition, the monitoring area security information data is transmitted to the intelligent processing unit by using the data transmission channel to detect security abnormal signals, so that the security state of the security and fire protection monitoring area can be comprehensively monitored, potential security risks can be timely detected and responded, and the overall security is improved. Then, emergency linkage analysis is carried out on the security and firefighting monitoring area by using the fire signals of the monitoring area and the security and firefighting abnormal signals of the monitoring area, the emergency situation of the monitoring area can be more comprehensively understood by analyzing the relevance among different events of the signals of the monitoring area, and more comprehensive information support is provided for subsequent decisions. In addition, the emergency situation information data is used for automatically alarming the security and fire protection monitoring area, so that the automatic processing and alarming of the emergency can be realized, the time delay of human intervention is reduced, the emergency response speed of the security and fire protection monitoring system is improved, and the security and stability of the monitoring area are ensured. Finally, by performing response measure generation analysis on the monitoring area emergency alarm signals, corresponding monitoring area department emergency response measures can be generated. By generating and analyzing the response measures, the scientificity and effectiveness of emergency treatment are ensured. The generated emergency response measures of the departments of the monitoring area are used for carrying out cooperative scheduling treatment on the security and protection fire monitoring area, so that the cooperation of the departments is ensured, the overall response speed and the overall response accuracy are improved, the potential risk brought by an emergency event is reduced, and the response time is longer and the occurrence of false alarm is reduced. The monitoring area alarm response scheduling information data is used for carrying out feedback learning optimization on the security and fire protection integrated sensing network, so that the security and fire protection integrated sensing network can be continuously improved, the security and fire protection monitoring system is better adapted to different scenes and events, the overall emergency response efficiency and the network performance are further improved, the security and fire protection integrated alarm optimizing network is formed, and a more intelligent and sustainable solution is provided for future emergency events.
Preferably, the invention also provides an automatic alarm system based on security and fire protection integration, which is used for executing the automatic alarm method based on security and fire protection integration, and comprises the following steps:
The security and fire protection integrated environment sensing module is used for carrying out sensing network integrated processing on security and protection systems and sensors of the fire protection systems in the security and fire protection monitoring area so as to obtain a security and fire protection integrated sensing network, wherein the security and fire protection integrated sensing network comprises a smoke sensor, a temperature sensor, a security and protection monitoring sensor and an intelligent processing unit, and the smoke sensor, the temperature sensor and the security and protection monitoring sensor are electrically connected with the intelligent processing unit; the smoke sensor and the temperature sensor in the security and fire protection integrated sensing network are used for performing environment sensing processing on the security and fire protection monitoring area, so that smoke information data of the monitoring area and temperature information data of the monitoring area are obtained;
The fire signal detection and identification module is used for transmitting the smoke information data of the monitoring area and the temperature information data of the monitoring area to the intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to detect a change signal, so as to obtain a smoke change signal of the monitoring area and a temperature change signal of the monitoring area; carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke change signal and the temperature change signal of the monitoring area so as to obtain a fire signal of the monitoring area;
The security abnormal signal detection module is used for performing security monitoring on a security fire-fighting monitoring area through a security monitoring sensor in the security fire-fighting integrated sensing network to obtain security information data of the monitoring area; transmitting the security information data of the monitoring area to the intelligent processing unit through the data transmission channel to detect security abnormal signals, so as to obtain the security abnormal signals of the monitoring area;
The monitoring area emergency alarm module is used for carrying out emergency linkage analysis on the security and firefighting monitoring area according to the fire signals of the monitoring area and the security and firefighting abnormal signals of the monitoring area to obtain emergency condition information data; according to the emergency situation information data, carrying out automatic alarm processing on the security and protection firefighting monitoring area so as to obtain an emergency alarm signal of the monitoring area;
The cooperative response scheduling feedback optimization module is used for generating and analyzing response measures of emergency alarm signals of the monitoring area so as to obtain emergency response measures of departments of the monitoring area; performing cooperative scheduling treatment on the security and protection fire protection monitoring area according to emergency response measures of departments of the monitoring area to obtain alarm response scheduling information data of the monitoring area; and carrying out feedback learning optimization on the security and fire protection integrated sensing network according to the monitoring area alarm response scheduling information data, thereby obtaining the security and fire protection integrated alarm optimization network.
In summary, the invention provides an automatic alarm system based on security and fire protection integration, which consists of a security and fire protection integration environment sensing module, a fire signal detection and identification module, a security and fire protection abnormal signal detection module, a monitoring area emergency alarm module and a collaborative response scheduling feedback optimization module, wherein the automatic alarm method based on security and fire protection integration can be realized.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of a non-limiting implementation, made with reference to the accompanying drawings in which:
FIG. 1 is a schematic flow chart of steps of an automatic alarm method based on security and fire protection integration;
FIG. 2 is a detailed step flow chart of step S1 in FIG. 1;
Fig. 3 is a detailed step flow chart of step S2 in fig. 1.
Detailed Description
The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.
It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
In order to achieve the above purpose, referring to fig. 1 to 3, the present invention provides an automatic alarm method based on security and fire protection integration, the method comprises the following steps:
step S1: the method comprises the steps that sensor networks are integrated with sensors of a security system and a fire control system in a security and fire control monitoring area to obtain a security and fire control integrated sensor network, wherein the security and fire control integrated sensor network comprises a smoke sensor, a temperature sensor, a security and fire control monitoring sensor and an intelligent processing unit, and the smoke sensor, the temperature sensor and the security and fire control monitoring sensor are electrically connected with the intelligent processing unit; performing environment sensing treatment on a security and fire protection monitoring area through a smoke sensor and a temperature sensor in the security and fire protection integrated sensing network to obtain smoke information data and temperature information data of the monitoring area;
Step S2: transmitting the smoke information data and the temperature information data of the monitoring area to an intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to detect a change signal, so as to obtain a smoke change signal and a temperature change signal of the monitoring area; carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke change signal and the temperature change signal of the monitoring area to obtain a fire signal of the monitoring area;
Step S3: the security monitoring sensor in the security and fire control integrated sensing network is used for performing security monitoring on the security and fire control monitoring area to obtain security information data of the monitoring area; transmitting the security information data of the monitoring area to an intelligent processing unit through a data transmission channel to detect security abnormal signals, and obtaining the security abnormal signals of the monitoring area;
Step S4: carrying out emergency linkage analysis on the security and firefighting monitoring area according to the fire signals of the monitoring area and the security and firefighting abnormal signals of the monitoring area to obtain emergency condition information data; according to the emergency situation information data, carrying out automatic alarm processing on the security and protection firefighting monitoring area to obtain an emergency alarm signal of the monitoring area;
Step S5: performing response measure generation analysis on the emergency alarm signal of the monitoring area to obtain emergency response measures of departments of the monitoring area; performing cooperative scheduling treatment on the security and protection fire protection monitoring area according to emergency response measures of departments of the monitoring area to obtain alarm response scheduling information data of the monitoring area; and carrying out feedback learning optimization on the security and fire protection integrated sensing network according to the monitoring area alarm response scheduling information data to obtain the security and fire protection integrated alarm optimization network.
In the embodiment of the present invention, please refer to fig. 1, which is a schematic flow chart of steps of the security and fire-fighting integrated automatic alarm method according to the present invention, in this example, the steps of the security and fire-fighting integrated automatic alarm method include:
step S1: the method comprises the steps that sensor networks are integrated with sensors of a security system and a fire control system in a security and fire control monitoring area to obtain a security and fire control integrated sensor network, wherein the security and fire control integrated sensor network comprises a smoke sensor, a temperature sensor, a security and fire control monitoring sensor and an intelligent processing unit, and the smoke sensor, the temperature sensor and the security and fire control monitoring sensor are electrically connected with the intelligent processing unit; performing environment sensing treatment on a security and fire protection monitoring area through a smoke sensor and a temperature sensor in the security and fire protection integrated sensing network to obtain smoke information data and temperature information data of the monitoring area;
According to the embodiment of the invention, the security and fire protection monitoring area is analyzed by the position analysis method to analyze and monitor the position distribution condition of the sensors in the security and fire protection monitoring area, so that the optimal deployment position of the security and fire protection sensors is determined, and the security and fire protection system in the security and fire protection monitoring area and the sensors of the fire protection system are integrated according to the determined deployment position of the security and fire protection sensors, so that a security and fire protection integrated sensing network is constructed, wherein the security and fire protection integrated sensing network comprises a smoke sensor, a temperature sensor, a security and fire protection monitoring sensor and an intelligent processing unit, and the smoke sensor, the temperature sensor and the security and fire protection monitoring sensor are electrically connected with the intelligent processing unit. Then, the smoke sensor and the temperature sensor in the security and fire protection integrated sensing network are used for detecting the security and fire protection monitoring area so as to detect and sense the smoke and temperature change condition in the security and fire protection monitoring area, and finally the smoke information data and the temperature information data of the monitoring area are obtained.
Step S2: transmitting the smoke information data and the temperature information data of the monitoring area to an intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to detect a change signal, so as to obtain a smoke change signal and a temperature change signal of the monitoring area; carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke change signal and the temperature change signal of the monitoring area to obtain a fire signal of the monitoring area;
according to the embodiment of the invention, the smoke information data of the monitoring area and the temperature information data of the monitoring area are transmitted into the intelligent processing unit by using the data transmission channel in the security and fire protection integrated sensing network to perform data preprocessing so as to remove abnormal data, repeated data, invalid data, data noise, filling missing data and other processing steps in the information data, and then the preprocessed data is subjected to change signal detection by using the change sensitive element so as to further detect and refine the change signal in the monitoring data, and the monitoring data is converted into an electric signal, so that the smoke change signal of the monitoring area and the temperature change signal of the monitoring area are obtained. Finally, the fire signal conditions of the smoke change signal and the temperature change signal of the monitoring area are analyzed to obtain the triggering conditions of the fire signal, and the security and fire protection monitoring area is identified and judged by using the fire signal triggering conditions obtained through analysis to judge whether the fire signal is triggered by the corresponding security and fire protection monitoring area, so that the fire signal of the monitoring area is finally obtained.
Step S3: the security monitoring sensor in the security and fire control integrated sensing network is used for performing security monitoring on the security and fire control monitoring area to obtain security information data of the monitoring area; transmitting the security information data of the monitoring area to an intelligent processing unit through a data transmission channel to detect security abnormal signals, and obtaining the security abnormal signals of the monitoring area;
According to the embodiment of the invention, the security monitoring sensor in the security and fire control integrated sensing network is used for monitoring the security and fire control monitoring area so as to monitor the potential safety hazard information such as security intrusion and network attack in the security and fire control monitoring area, and thus the security information data of the monitoring area is obtained. And then, transmitting the monitored area security information data obtained through monitoring to an intelligent processing unit by using a data transmission channel, simultaneously, receiving, analyzing and storing the transmitted monitored area security information data by using the intelligent processing unit, identifying a security behavior mode in the monitored area security information data by using a mode identification method by using the intelligent processing unit, and converting abnormal behavior information in the security behavior mode into an understandable abnormal signal format to finally obtain a security abnormal signal of the monitored area.
Step S4: carrying out emergency linkage analysis on the security and firefighting monitoring area according to the fire signals of the monitoring area and the security and firefighting abnormal signals of the monitoring area to obtain emergency condition information data; according to the emergency situation information data, carrying out automatic alarm processing on the security and protection firefighting monitoring area to obtain an emergency alarm signal of the monitoring area;
According to the embodiment of the invention, the fire signals of the monitoring area and the security abnormal signals of the monitoring area are respectively identified and detected by using a signal processing algorithm and a model, the digital signals monitored by the sensor are converted into understandable event information so as to identify the fire events of the monitoring area and the security abnormal events of the monitoring area, the detected fire events of the monitoring area and the security abnormal events of the monitoring area are measured by using specific emergency measurement standards (including the severity, the hazard degree and the like of the events of the monitoring area), so that the emergency degree of the fire events of the monitoring area and the security abnormal events of the monitoring area is quantized, meanwhile, the corresponding emergency events are judged according to the measured emergency degree, and then, the marked emergency events are analyzed by using a linkage analysis method so as to realize the linkage analysis of the association relation among different events, so that the emergency situation of the security fire protection monitoring area can be more comprehensively understood, and the emergency event condition information data can be obtained. Finally, the emergency situation of the security and fire protection monitoring area in the emergency situation information data is analyzed, and the security and fire protection monitoring area is automatically alarmed according to the emergency situation obtained by analysis, including sending alarm signals such as emergency notification, starting an emergency response flow and the like to related departments corresponding to the emergency situation, and finally the emergency alarm signal of the monitoring area is obtained.
Step S5: performing response measure generation analysis on the emergency alarm signal of the monitoring area to obtain emergency response measures of departments of the monitoring area; performing cooperative scheduling treatment on the security and protection fire protection monitoring area according to emergency response measures of departments of the monitoring area to obtain alarm response scheduling information data of the monitoring area; and carrying out feedback learning optimization on the security and fire protection integrated sensing network according to the monitoring area alarm response scheduling information data to obtain the security and fire protection integrated alarm optimization network.
According to the embodiment of the invention, the emergency alarm signal of the monitoring area is analyzed by using the alarm signal analysis system, so that the emergency event of the alarm signal of the monitoring area is analyzed, and the department corresponding to the emergency event is triggered, so that the corresponding department can rapidly identify and understand the emergency event, and the emergency response flow of the related response department is triggered to generate emergency response measures, including personnel scheduling, equipment starting, resource allocation and the like, so that the emergency response measures of the department of the monitoring area are obtained. And then, collaborative scheduling is carried out on the security and protection fire protection monitoring area by using the generated emergency response measures of the monitoring area departments so as to integrate the emergency response measures of all departments, ensure that all departments can cooperatively operate, improve the overall response speed and accuracy and obtain the alarm response scheduling information data of the monitoring area. Finally, the corresponding dispatching response strategies of the data-driven learning monitoring area alarming response dispatching information data are used, feedback learning optimization is carried out on the security and fire protection integrated sensing network according to the learned corresponding dispatching response strategies, so that the security and fire protection integrated sensing network can be better adapted to different scenes and events, the accuracy and efficiency of the security and fire protection integrated sensing network are improved, and finally the security and fire protection integrated alarming optimization network is obtained.
According to the invention, firstly, the security system and the sensors of the fire control system in the security and fire control monitoring area are subjected to sensor network integration treatment, so that systematic sensor integration can be realized, and a security and fire control integrated sensor network is formed. The network comprises the smoke sensor, the temperature sensor, the security monitoring sensor and the intelligent processing unit, wherein the smoke sensor, the temperature sensor and the security monitoring sensor are electrically connected with the intelligent processing unit, comprehensive and efficient environment sensing capability can be provided for a monitoring area, the information of the security and fire protection system is effectively integrated, the integrity and the response speed of the system are improved, and accordingly information interaction between the security and protection system and the fire protection system can be timely and accurately achieved. Meanwhile, the smoke sensor and the temperature sensor in the security and fire protection integrated sensing network are used for performing environment sensing treatment on the security and fire protection monitoring area, so that the smoke and temperature change condition in the security and fire protection monitoring area can be monitored in real time, important data support is provided for prevention and emergency treatment of fire, and the comprehensiveness and accuracy of security monitoring are ensured. And secondly, the smoke information data in the monitoring area and the temperature information data in the monitoring area are transmitted to the intelligent processing unit by using the data transmission channel in the security and fire protection integrated sensing network to detect the change signal, so that key changes in the monitoring data can be further refined, the fire signal can be accurately distinguished, the false alarm rate is reduced, the reliability and the sensitivity of the security and fire protection integrated sensing network are improved, and the change mode in the environment is also recognized, so that the potential fire risk is accurately positioned and judged. Through the analysis of the smoke and temperature change signals, the fire disaster signals are identified, and the real-time signal processing not only improves the accuracy of fire disaster identification, but also ensures the quick response to emergency events. Then, security monitoring is carried out on the security and fire control monitoring area by using a security and fire control monitoring sensor in the security and fire control integrated sensing network so as to obtain comprehensive and accurate security information data. The key of this step is that advanced sensor technology is used to monitor environmental changes in real time, including but not limited to security intrusion, network attack, etc., thereby constructing a comprehensive monitoring basis. In addition, the monitoring area security information data is transmitted to the intelligent processing unit by using the data transmission channel to detect security abnormal signals, so that the security state of the security and fire protection monitoring area can be comprehensively monitored, potential security risks can be timely detected and responded, and the overall security is improved. Then, emergency linkage analysis is carried out on the security and firefighting monitoring area by using the fire signals of the monitoring area and the security and firefighting abnormal signals of the monitoring area, the emergency situation of the monitoring area can be more comprehensively understood by analyzing the relevance among different events of the signals of the monitoring area, and more comprehensive information support is provided for subsequent decisions. In addition, the emergency situation information data is used for automatically alarming the security and fire protection monitoring area, so that the automatic processing and alarming of the emergency can be realized, the time delay of human intervention is reduced, the emergency response speed of the security and fire protection monitoring system is improved, and the security and stability of the monitoring area are ensured. Finally, by performing response measure generation analysis on the monitoring area emergency alarm signals, corresponding monitoring area department emergency response measures can be generated. By generating and analyzing the response measures, the scientificity and effectiveness of emergency treatment are ensured. The generated emergency response measures of the departments of the monitoring area are used for carrying out cooperative scheduling treatment on the security and protection fire monitoring area, so that the cooperation of the departments is ensured, the overall response speed and the overall response accuracy are improved, the potential risk brought by an emergency event is reduced, and the response time is longer and the occurrence of false alarm is reduced. The monitoring area alarm response scheduling information data is used for carrying out feedback learning optimization on the security and fire protection integrated sensing network, so that the security and fire protection integrated sensing network can be continuously improved, the security and fire protection monitoring system is better adapted to different scenes and events, the overall emergency response efficiency and the network performance are further improved, the security and fire protection integrated alarm optimizing network is formed, and a more intelligent and sustainable solution is provided for future emergency events.
Preferably, step S1 comprises the steps of:
Step S11: carrying out sensing position distribution analysis on the security and fire protection monitoring area to obtain security and fire protection sensing distribution position information data;
Step S12: carrying out sensing layout topology analysis on a security monitoring sensor of a security system, a smoke sensor of a fire control system and a temperature sensor of the fire control system in a security and fire control monitoring area according to security and fire control sensing distribution position information data to obtain a security and fire control sensing distribution topology structure network;
Step S13: the intelligent processing unit is integrated in the security and fire protection sensing distribution topological structure network, and a data transmission channel is established between the sensor and the intelligent processing unit in the security and fire protection sensing distribution topological structure network through an Internet of things communication protocol, so that a security and fire protection integrated sensing network is obtained;
Step S14: performing smoke sensing detection on a security and fire protection monitoring area through a smoke sensor in the security and fire protection integrated sensing network to obtain smoke information data of the monitoring area;
step S15: and carrying out temperature sensing detection on the security and fire protection monitoring area through a temperature sensor in the security and fire protection integrated sensing network to obtain temperature information data of the monitoring area.
As an embodiment of the present invention, referring to fig. 2, a detailed step flow chart of step S1 in fig. 1 is shown, in which step S1 includes the following steps:
Step S11: carrying out sensing position distribution analysis on the security and fire protection monitoring area to obtain security and fire protection sensing distribution position information data;
according to the embodiment of the invention, the security and fire protection monitoring area is analyzed by the position analysis method to analyze and monitor the position distribution condition of the sensors in the security and fire protection monitoring area, so that the optimal deployment position of the security and fire protection sensors is determined, the whole security and fire protection monitoring area can be comprehensively and effectively monitored, and finally the security and fire protection sensing distribution position information data is obtained.
Step S12: carrying out sensing layout topology analysis on a security monitoring sensor of a security system, a smoke sensor of a fire control system and a temperature sensor of the fire control system in a security and fire control monitoring area according to security and fire control sensing distribution position information data to obtain a security and fire control sensing distribution topology structure network;
According to the embodiment of the invention, the security monitoring sensor of the security system and the smoke sensor and the temperature sensor of the fire control system in the security and fire control monitoring area are analyzed by using the sensing distribution position information in the security and fire control sensing distribution position information data, so that the sensor topology distribution structures of the security system and the fire control system in the security and fire control monitoring area are analyzed, and finally the security and fire control sensing distribution topology structure network is obtained.
Step S13: the intelligent processing unit is integrated in the security and fire protection sensing distribution topological structure network, and a data transmission channel is established between the sensor and the intelligent processing unit in the security and fire protection sensing distribution topological structure network through an Internet of things communication protocol, so that a security and fire protection integrated sensing network is obtained;
According to the embodiment of the invention, the intelligent processing unit is integrated in the security and fire protection sensing distribution topological structure network, and the data transmission channel is established between the corresponding sensors in the security and fire protection sensing distribution topological structure network and the intelligent processing unit by using the Internet of things communication protocol, so that the data between the corresponding sensors can be ensured to be transmitted quickly and reliably, and finally the security and fire protection integrated sensing network is obtained.
Step S14: performing smoke sensing detection on a security and fire protection monitoring area through a smoke sensor in the security and fire protection integrated sensing network to obtain smoke information data of the monitoring area;
according to the embodiment of the invention, the smoke sensor in the security and fire protection integrated sensing network is used for detecting the security and fire protection monitoring area so as to detect and sense the smoke change condition in the security and fire protection monitoring area, and finally the smoke information data of the monitoring area is obtained.
Step S15: and carrying out temperature sensing detection on the security and fire protection monitoring area through a temperature sensor in the security and fire protection integrated sensing network to obtain temperature information data of the monitoring area.
According to the embodiment of the invention, the temperature sensor in the security and fire protection integrated sensing network is used for detecting the security and fire protection monitoring area so as to detect and sense the temperature change condition in the security and fire protection monitoring area, and finally the temperature information data of the monitoring area is obtained.
According to the invention, the position information data of the security and fire control sensor is acquired by carrying out sensing position distribution analysis on the security and fire control monitoring area, so that the optimal sensor deployment position is determined, the whole security and fire control monitoring area is comprehensively and effectively monitored, and basic data is provided for the design of the security and fire control system sensor. Secondly, through using security protection fire control sensing distribution position information data to carry out sensing overall arrangement topology analysis to security protection monitoring sensor and fire control system's smoke transducer and the temperature sensor of security protection fire control monitoring area internal security protection system, through combining sensor position information with monitored control system's topological structure, can optimize the overall arrangement of sensor, ensure that every key region in the monitoring area can both be covered by the sensor, this helps improving monitored control system's efficiency, reduces the monitoring dead angle to discover potential problem in advance. Then, through at the inside integrated intelligent processing unit of security protection fire control sensing distribution topology structure network to establish data transmission channel for between sensor and the intelligent processing unit in the security protection fire control sensing distribution topology structure network through thing networking communication protocol, with formation security protection fire control integration sensing network, this is of value to realizing the collaborative work between sensor and the intelligent processing unit, thereby improves the intelligent degree of sensor, makes the monitoring and control more intelligent high-efficient, can also effectively connect each part of sensor, realizes the real-time transmission and the processing of monitoring information. Then, smoke sensors in the security and fire protection integrated sensing network are used for detecting smoke perception of the security and fire protection monitoring area, so that smoke conditions in the area can be monitored in real time, fire or smoke conditions can be found in advance, timely safety measures are taken, fire risks are reduced, and personnel and property safety is protected. Finally, temperature sensor in the security and fire control integrated sensing network is used for detecting temperature sensing of the security and fire control monitoring area, so that temperature change in the area can be monitored, the temperature change of the environment can be monitored, temperature abnormality can be found timely, important data support is provided for prevention and emergency treatment of fire, and accordingly comprehensiveness and accuracy of security monitoring are guaranteed.
Preferably, step S2 comprises the steps of:
Step S21: transmitting the smoke information data and the temperature information data of the monitoring area to an intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to perform data cleaning treatment to obtain smoke cleaning data and temperature cleaning data of the monitoring area;
Step S22: carrying out noise elimination treatment on the smoke cleaning data of the monitoring area and the temperature cleaning data of the monitoring area to obtain smoke denoising data of the monitoring area and temperature denoising data of the monitoring area;
Step S23: carrying out real-time fluctuation detection on the smoke denoising data of the monitoring area and the temperature denoising data of the monitoring area to obtain smoke fluctuation change data of the monitoring area and temperature fluctuation change data of the monitoring area;
step S24: detecting a change signal of the smoke fluctuation change data of the monitoring area and the temperature fluctuation change data of the monitoring area through the change sensitive element to obtain a smoke change signal of the monitoring area and a temperature change signal of the monitoring area;
step S25: performing anti-interference sampling on the smoke change signal and the temperature change signal of the monitoring area to obtain an anti-interference signal of the smoke of the monitoring area and an anti-interference signal of the temperature of the monitoring area;
step S26: and carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke anti-interference signal and the temperature anti-interference signal of the monitoring area to obtain the fire signal of the monitoring area.
As an embodiment of the present invention, referring to fig. 3, a detailed step flow chart of step S2 in fig. 1 is shown, in which step S2 includes the following steps:
Step S21: transmitting the smoke information data and the temperature information data of the monitoring area to an intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to perform data cleaning treatment to obtain smoke cleaning data and temperature cleaning data of the monitoring area;
According to the embodiment of the invention, the smoke information data and the temperature information data of the monitoring area are transmitted into the intelligent processing unit by using the data transmission channel in the security and fire protection integrated sensing network to carry out data cleaning, and the processing steps of removing abnormal data, repeated data, invalid data, filling missing data and the like are included, so that the smoke cleaning data and the temperature cleaning data of the monitoring area are finally obtained.
Step S22: carrying out noise elimination treatment on the smoke cleaning data of the monitoring area and the temperature cleaning data of the monitoring area to obtain smoke denoising data of the monitoring area and temperature denoising data of the monitoring area;
According to the embodiment of the invention, the noise filtering algorithm is used for carrying out noise elimination on the smoke cleaning data of the monitoring area and the temperature cleaning data of the monitoring area so as to eliminate the data noise in the noise elimination processing of the smoke cleaning data of the monitoring area and the temperature cleaning data of the monitoring area, and finally the smoke noise elimination data of the monitoring area and the temperature noise elimination data of the monitoring area are obtained.
Step S23: carrying out real-time fluctuation detection on the smoke denoising data of the monitoring area and the temperature denoising data of the monitoring area to obtain smoke fluctuation change data of the monitoring area and temperature fluctuation change data of the monitoring area;
according to the embodiment of the invention, the fluctuation detection algorithm is used for detecting the fluctuation of the smoke noise elimination data of the monitoring area and the temperature noise elimination data of the monitoring area, so that whether the fluctuation change exists in the smoke noise elimination data of the monitoring area and the temperature noise elimination data of the monitoring area or not is detected in real time, and finally the smoke fluctuation change data of the monitoring area and the temperature fluctuation change data of the monitoring area are obtained.
Step S24: detecting a change signal of the smoke fluctuation change data of the monitoring area and the temperature fluctuation change data of the monitoring area through the change sensitive element to obtain a smoke change signal of the monitoring area and a temperature change signal of the monitoring area;
According to the embodiment of the invention, the change sensitive element is used for detecting the change signal of the smoke fluctuation change data of the monitoring area and the temperature fluctuation change data of the monitoring area, so that the fluctuation change signal in the refined monitoring data is further detected, the monitoring data is converted into the electric signal, and finally the smoke change signal of the monitoring area and the temperature change signal of the monitoring area are obtained.
Step S25: performing anti-interference sampling on the smoke change signal and the temperature change signal of the monitoring area to obtain an anti-interference signal of the smoke of the monitoring area and an anti-interference signal of the temperature of the monitoring area;
According to the embodiment of the invention, the anti-interference technology is used for carrying out anti-interference treatment on the smoke change signal of the monitoring area and the temperature change signal of the monitoring area, so that the influence of external interference on the smoke change signal of the monitoring area and the temperature change signal of the monitoring area is reduced, and finally the smoke anti-interference signal of the monitoring area and the temperature anti-interference signal of the monitoring area are obtained.
Step S26: and carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke anti-interference signal and the temperature anti-interference signal of the monitoring area to obtain the fire signal of the monitoring area.
According to the embodiment of the invention, firstly, the fire signal conditions of the smoke anti-interference signal and the temperature anti-interference signal of the monitoring area are analyzed to obtain the triggering conditions of the fire signals, then, the security and protection fire-fighting monitoring area is identified and judged by using the fire signal triggering conditions obtained through analysis to judge whether the fire signals are triggered by the corresponding security and protection fire-fighting monitoring area, and finally, the fire signals of the monitoring area are obtained.
According to the invention, the smoke information data of the monitoring area and the temperature information data of the monitoring area are transmitted to the intelligent processing unit by using the data transmission channel in the security and fire protection integrated sensing network for data cleaning processing, so that the monitoring data can be transmitted in real time, the intelligent processing unit can rapidly acquire the latest monitoring information, the cleaning processing of the monitoring data can be realized, the accuracy and consistency of the monitoring data can be improved, and a reliable basis is provided for subsequent analysis. And secondly, carrying out noise elimination treatment on the smoke cleaning data of the monitoring area and the temperature cleaning data of the monitoring area so as to obtain clear smoke noise elimination data and clear temperature noise elimination data of the monitoring area. Through the step, the influence of noise on data can be effectively reduced, and the ratio of signals to noise is improved, so that the quality and the credibility of the data are improved. Meanwhile, through carrying out real-time fluctuation detection on the smoke noise elimination data of the monitoring area and the temperature noise elimination data of the monitoring area, environmental changes can be monitored in real time, fluctuation conditions of smoke and temperature are captured, real-time basic data are provided for subsequent analysis and processing, and therefore timely early warning and response are provided for further processing. Then, through using change sensitive element to carry out change signal detection to monitoring area smog fluctuation change data and monitoring area temperature fluctuation change data, can further refine the key change in the monitoring data, this can help more accurately discern the fire signal, reduce the false alarm rate to improve security protection fire control integration sensing network's reliability and sensitivity, still help discern the change pattern in the environment, thereby more accurately fix a position and judge potential conflagration risk. Then, through anti-interference sampling of the smoke change signal in the monitoring area and the temperature change signal in the monitoring area, the influence of external interference on the performance of the security and fire protection integrated sensing network can be effectively reduced, and the reliability and the robustness of the security and fire protection integrated sensing network are improved. Finally, fire signal identification processing is carried out on the security and protection fire protection monitoring area by using the smoke anti-interference signal in the monitoring area and the temperature anti-interference signal in the monitoring area, so that the fire signal can be accurately identified, and timely response to potential danger is realized, thereby improving the efficiency and reliability of the whole security and protection fire protection system and ensuring the safety of personnel and property.
Preferably, step S26 includes the steps of:
Step S261: carrying out signal time alignment processing on the smoke anti-interference signal of the monitoring area and the temperature anti-interference signal of the monitoring area to obtain a smoke time alignment signal of the monitoring area and a temperature time alignment signal of the monitoring area;
According to the embodiment of the invention, the time alignment algorithm is used for carrying out time alignment on the smoke anti-interference signal of the monitoring area and the temperature anti-interference signal of the monitoring area, so that the time synchronization of the smoke anti-interference signal of the monitoring area and the temperature anti-interference signal of the monitoring area can be ensured, and finally the smoke time alignment signal of the monitoring area and the temperature time alignment signal of the monitoring area are obtained.
Step S262: calculating the variation degree of the smoke time alignment signal of the monitoring area by using a smoke variation degree calculation formula to obtain a smoke variation degree value of the monitoring area;
According to the embodiment of the invention, a proper smoke variation degree calculation formula is formed by combining the time variable parameter calculated by the variation degree, the sine wave variation amplitude control parameter, the sine wave variation frequency control parameter, the sine wave variation exponential decay control parameter, the sine wave variation harmonic smoothing parameter, the cosine wave variation amplitude control parameter, the cosine wave variation frequency control parameter, the cosine wave variation exponential decay control parameter, the cosine wave variation harmonic smoothing parameter and related parameters of the smoke time alignment signal of the monitored area to calculate the variation degree of the smoke time alignment signal of the monitored area so as to quantify the variation condition of the smoke of the monitored area, and finally the smoke variation degree value of the monitored area is obtained. In addition, the smoke variation calculation formula can also use any smoke detection algorithm in the art instead of the variation calculation process, and is not limited to the smoke variation calculation formula.
Step S263: comparing and judging the smoke change degree value of the monitoring area according to a preset smoke change degree standard value to obtain a smoke change judgment result of the monitoring area;
According to the embodiment of the invention, the calculated smoke variation degree value of the monitoring area is compared and judged according to the preset smoke variation degree standard value, and if the smoke variation degree value of the monitoring area is larger than or equal to the preset smoke variation degree standard value, the smoke variation degree of the security and protection fire protection monitoring area is larger; if the smoke change degree value of the monitoring area is smaller than the preset smoke change degree standard value, the condition that the smoke change degree of the security and protection fire protection monitoring area is smaller or no smoke exists is indicated, and finally the smoke change judging result of the monitoring area is obtained.
Step S264: carrying out change trend judgment processing on the temperature time alignment signal of the monitoring area to obtain a temperature change judgment result of the monitoring area;
According to the embodiment of the invention, the temperature time alignment signal of the monitored area is judged and detected by using a change trend detection algorithm, so that the change trend of the temperature time alignment signal of the monitored area, including the continuously rising or falling change trend, is detected, and finally, the temperature change judgment result of the monitored area is obtained.
Step S265: determining that the smoke change degree value of the monitoring area exceeds a preset smoke change degree standard value and the change trend of the temperature time alignment signal of the monitoring area continuously rises to be a fire signal triggering condition, and when the smoke change judgment result of the monitoring area and the temperature change judgment result of the monitoring area meet the fire signal triggering condition, identifying and determining the signal of the security and protection fire protection monitoring area as a fire signal to obtain the fire signal of the monitoring area; otherwise, do not do any processing.
According to the embodiment of the invention, firstly, the change trend of the smoke change degree value of the monitoring area exceeding the preset smoke change degree standard value and the temperature time alignment signal of the monitoring area is continuously increased to be a fire signal triggering condition, then, through comparing and analyzing the smoke change judging result of the monitoring area and the temperature change judging result of the monitoring area, if the smoke change judging result of the monitoring area and the temperature change judging result of the monitoring area meet the fire signal triggering condition, the signal identification of the security and protection fire protection monitoring area is determined to be a fire signal, and finally, the fire signal of the monitoring area is obtained, otherwise, the signal identification of the security and protection fire protection monitoring area is not determined to be a fire signal.
According to the invention, firstly, the time synchronization of the smoke anti-interference signal and the temperature anti-interference signal of the monitoring area can be ensured by carrying out signal time alignment treatment on the smoke anti-interference signal and the temperature anti-interference signal of the monitoring area, and the accurate time alignment signal of the smoke and the temperature of the monitoring area is obtained through the step, so that the follow-up accurate analysis and comprehensive judgment are facilitated, and the accuracy and the real-time performance of the fire signal are improved. And secondly, calculating the change degree of the smoke time alignment signal of the monitored area by using a proper smoke change degree calculation formula to acquire a change degree value of the smoke of the monitored area, wherein the step quantifies the change of the smoke in a numerical mode, thereby providing specific data support for subsequent comparison and judgment and being beneficial to more accurately evaluating the possibility of fire. And then, comparing and judging the calculated smoke change degree value of the monitoring area with a preset smoke change degree standard value to obtain a change judgment result of the smoke of the monitoring area. The judgment result is based on the preset standard, and abnormal smoke change can be effectively identified, so that the sensitivity and accuracy of the monitoring area to potential fire are improved. And then, through carrying out change trend judgment processing on the temperature time alignment signals of the monitored area, the variation of the ambient temperature can be captured through analyzing the change trend of the temperature, and additional information support is provided for fire disaster judgment, so that the comprehensive recognition accuracy of the fire disaster signals is improved. And finally, continuously rising the change trend of the temperature time alignment signal of the monitored area to be a fire signal triggering condition by determining that the smoke change degree value of the monitored area exceeds a preset smoke change degree standard value. According to the method, the conditions for triggering the fire signals are determined by comprehensively considering a plurality of factors of smoke and temperature, so that the accurate judgment of the monitoring area on the real fire situation is improved, and meanwhile, the possibility of misjudgment is reduced.
Preferably, the smoke variation degree calculation formula in step S262 is specifically:
Where S is a monitored area smoke variation degree value, T is a time range parameter calculated by the variation degree, T is an outer integral time variable parameter calculated by the variation degree, τ is an inner integral time variable parameter calculated by the variation degree, α 1 is a sine wave variation amplitude control parameter of a monitored area smoke time alignment signal, β 1 is a sine wave variation frequency control parameter of the monitored area smoke time alignment signal, δ 1 is a sine wave variation exponential decay control parameter of the monitored area smoke time alignment signal, θ 1 is a sine wave variation and smoothing parameter of the monitored area smoke time alignment signal, α 2 is a cosine wave variation amplitude control parameter of the monitored area smoke time alignment signal, β 2 is a cosine wave variation exponential decay control parameter of the monitored area smoke time alignment signal, η 2 is a cosine wave variation exponential decay control parameter of the monitored area smoke time alignment signal, θ 2 is a cosine wave variation harmonic parameter of the monitored area smoke time alignment signal, and ε is a correction value of the monitored area smoke variation degree value.
The invention constructs a smoke variation degree calculation formula for calculating the variation degree of the smoke time alignment signal of the monitored area, wherein the smoke variation degree calculation formula represents the total time of the variation degree calculation by using a time range parameter, represents the current time by using an external integration time variable parameter, represents the time parameter in the internal integration by using an internal integration time variable parameter, and controls the amplitude, the frequency, the exponential decay and the harmonic smoothing condition of the signal by using corresponding control parameters. The formula fully considers a monitoring area smoke change degree value S, a time range parameter T calculated by the change degree, an outer integral time variable parameter T calculated by the change degree, an inner integral time variable parameter tau calculated by the change degree, a sine wave change amplitude control parameter alpha 1 of a monitoring area smoke time alignment signal, a sine wave change frequency control parameter beta 1 of the monitoring area smoke time alignment signal, a sine wave change exponential decay control parameter eta 1 of the monitoring area smoke time alignment signal, a sine wave change and smoothing parameter theta 1 of the monitoring area smoke time alignment signal, a cosine wave change amplitude control parameter alpha 2 of the monitoring area smoke time alignment signal, a cosine wave change exponential decay control parameter beta 2 of the monitoring area smoke time alignment signal, a cosine wave change and smoothing parameter eta 2 of the monitoring area smoke time alignment signal, a correction value epsilon of the monitoring area smoke change degree value S and the relevant parameters form a function relation according to the monitoring area smoke change degree value S and the relevant parameters:
The formula can realize the calculation process of the variation degree of the smoke time alignment signal of the monitoring area, and meanwhile, the correction value epsilon of the smoke variation degree value of the monitoring area can be introduced to be adjusted according to the error condition in the calculation process, so that the accuracy and the stability of the smoke variation degree calculation formula are improved.
Preferably, step S3 comprises the steps of:
Step S31: the security monitoring sensor in the security and fire control integrated sensing network is used for performing security monitoring on the security and fire control monitoring area to obtain security information data of the monitoring area;
According to the embodiment of the invention, the security monitoring sensor in the security and fire control integrated sensing network is used for monitoring the security and fire control monitoring area so as to monitor potential safety hazard information such as security intrusion and network attack in the security and fire control monitoring area, and finally security information data of the monitoring area is obtained.
Step S32: transmitting the security information data of the monitoring area to an intelligent processing unit through a data transmission channel to perform security behavior pattern recognition, so as to obtain security behavior pattern data of the monitoring area;
According to the embodiment of the invention, the monitoring area security information data obtained through monitoring is transmitted to the intelligent processing unit by using the data transmission channel, then the transmitted monitoring area security information data is received, analyzed and stored by using the intelligent processing unit, the security behavior mode in the monitoring area security information data is identified by using the intelligent processing unit by using the mode identification method, and finally the monitoring area security behavior mode data is obtained.
Step S33: performing mode anomaly detection on the monitoring area security information data according to the monitoring area security behavior mode data to obtain monitoring area security anomaly behavior data;
According to the embodiment of the invention, the security behavior mode in the security behavior mode data of the monitoring area is learned and understood by using a deep learning and mode recognition technology, then mode anomaly detection is carried out on the security information data of the monitoring area according to the learned security behavior mode, so as to detect whether the security information data of the monitoring area has abnormal security behaviors or not, and finally the security abnormal behavior data of the monitoring area is obtained.
Step S34: and carrying out abnormal signal conversion on the security abnormal behavior data of the monitoring area to obtain security abnormal signals of the monitoring area.
According to the embodiment of the invention, the key abnormal behavior information is extracted by processing the detected security abnormal behavior data of the monitoring area, then the extracted key abnormal behavior information is converted into an understandable abnormal signal format, and finally the security abnormal signal of the monitoring area is obtained.
According to the invention, the security monitoring sensor in the security and fire control integrated sensing network is used for performing security monitoring on the security and fire control monitoring area so as to obtain comprehensive and accurate security information data. The key of this step is that advanced sensor technology is used to monitor environmental changes in real time, including but not limited to security intrusion, network attack, etc., thereby constructing a comprehensive monitoring basis. Secondly, the monitoring area security information data is transmitted to the intelligent processing unit by using the data transmission channel to conduct security behavior pattern recognition, efficient information transmission and integration can be conducted on the monitoring area security information data, so that the monitored information can be timely transmitted to the intelligent processing unit, a data basis is provided for subsequent analysis and processing, and meanwhile, the real-time performance and flexibility of the monitoring area are guaranteed. Then, the monitoring area security information data is subjected to mode abnormality detection by using the monitoring area security behavior mode data, so that the security abnormal behavior can be accurately identified. Through deep learning and pattern recognition technology, normal behavior patterns can be learned and understood, and once abnormal behaviors which are inconsistent with the normal behavior patterns are detected, abnormal behavior data are generated immediately, so that the sensitivity to potential threats is improved. Finally, abnormal signal conversion is carried out on the security abnormal behavior data of the monitoring area, so that the abnormal behavior data can be translated into a signal which can be understood, a clear and definite basis is provided for subsequent response and decision, and the timely treatment of potential security risks is ensured.
Preferably, step S4 comprises the steps of:
Step S41: carrying out signal event identification detection on the fire signal of the monitoring area and the security abnormal signal of the monitoring area to obtain a fire event of the monitoring area and the security abnormal event of the monitoring area;
According to the embodiment of the invention, the signal event identification detection is carried out on the fire signal of the monitoring area and the security abnormal signal of the monitoring area by using a signal processing algorithm and a model, the digital signal monitored by the sensor is converted into the understandable event information, and finally the fire event of the monitoring area and the security abnormal event of the monitoring area are obtained.
Step S42: the method comprises the steps of carrying out emergency degree measurement on fire events in a monitoring area and security abnormal events in the monitoring area to obtain fire event emergency degree measurement values and security abnormal event emergency degree measurement values;
According to the embodiment of the invention, the fire event of the monitored area and the security abnormal event of the monitored area are measured by using specific emergency measurement standards (comprising the severity, the hazard degree and the like of the event of the monitored area), so that the emergency degree of the fire event of the monitored area and the security abnormal event of the monitored area is quantified, and finally the emergency degree measured value of the fire event and the emergency degree measured value of the security abnormal event are obtained.
Step S43: calculating the threshold value of the fire signal of the monitoring area and the security abnormal signal of the monitoring area by using a signal event emergency threshold value calculation formula to obtain a signal event emergency threshold value of the monitoring area;
According to the embodiment of the invention, a proper signal event emergency threshold calculation formula is formed by combining the overall weight parameter of the emergency degree of the signal event, the fire signal of the monitoring area and the signal normal distribution mean value, the signal normal distribution standard deviation, the signal normal distribution adjustment parameter, the harmonic smoothing parameter of the emergency degree of the signal event, the amplitude adjustment parameter, the period adjustment parameter, the frequency adjustment parameter and the related parameter of the monitoring area, so that the fire signal of the monitoring area and the security abnormal signal of the monitoring area are subjected to threshold calculation, the event emergency thresholds of different signals are quantized, and finally the signal event emergency threshold of the monitoring area is obtained. In addition, the signal event emergency threshold calculation formula can also use any threshold measurement algorithm in the field to replace the process of threshold calculation, and is not limited to the signal event emergency threshold calculation formula.
Step S44: comparing and judging fire event emergency degree measurement values and security abnormal event emergency degree measurement values according to the monitoring area signal event emergency threshold value, and marking the signal event of the security fire protection monitoring area as the monitoring area fire emergency event when the fire event emergency degree measurement values exceed the monitoring area signal event emergency threshold value and the security abnormal event emergency degree measurement values do not exceed the monitoring area signal event emergency threshold value; when the fire event emergency degree measured value does not exceed the monitoring area signal event emergency threshold value and the security abnormal event emergency degree measured value exceeds the monitoring area signal event emergency threshold value, marking the signal event of the security fire protection monitoring area as a monitoring area security emergency event; when the fire event emergency degree measured value and the security abnormal event emergency degree measured value both exceed the monitoring area signal event emergency threshold value, marking the signal event of the security fire protection monitoring area as a monitoring area fire disaster-security emergency event; otherwise, do not do any treatment;
The embodiment of the invention compares and judges the fire event emergency degree measured value and the security abnormal event emergency degree measured value by using the calculated monitoring area signal event emergency threshold value, and if the fire event emergency degree measured value exceeds the monitoring area signal event emergency threshold value and the security abnormal event emergency degree measured value does not exceed the monitoring area signal event emergency threshold value, the signal event of the security fire control monitoring area is marked as the monitoring area fire emergency event; if the fire event emergency degree measured value does not exceed the monitoring area signal event emergency threshold value and the security abnormal event emergency degree measured value exceeds the monitoring area signal event emergency threshold value, indicating that the security abnormal event in the security fire protection monitoring area is serious, marking the signal event of the security fire protection monitoring area as a monitoring area security emergency event; if the fire event emergency degree measured value and the security abnormal event emergency degree measured value exceed the monitoring area signal event emergency threshold value, the fire event and the security abnormal event in the security fire protection monitoring area are severe, and the signal event in the security fire protection monitoring area is marked as a monitoring area fire disaster-security emergency event; otherwise, the signal event in the security fire monitoring area does not have emergency abnormal conditions or does not find any security fire event, so no processing is performed.
Step S45: carrying out emergency linkage analysis on the fire emergency of the monitoring area, the security emergency of the monitoring area and the fire-security emergency of the monitoring area to obtain emergency condition information data;
According to the embodiment of the invention, the marked fire emergency of the monitoring area, the marked security emergency of the monitoring area and the marked fire-security emergency of the monitoring area are analyzed by using the linkage analysis method, so that the association relation among different events is analyzed in a linkage way, the emergency of the security and fire-protection monitoring area can be understood more comprehensively, and finally the emergency situation information data is obtained.
Step S46: and carrying out automatic alarm processing on the security and protection fire protection monitoring area according to the emergency situation information data to obtain an emergency alarm signal of the monitoring area.
According to the embodiment of the invention, the emergency situation of the security and fire protection monitoring area is analyzed in the emergency situation information data, and then the security and fire protection monitoring area is automatically alarmed according to the emergency situation obtained by analysis, including sending alarm signals such as emergency notification, starting an emergency response flow and the like to related departments corresponding to the emergency situation, so that the emergency alarm signal of the monitoring area is finally obtained.
According to the invention, the fire disaster event and the security abnormal event in the monitoring area can be accurately captured by carrying out signal event identification detection on the fire disaster signal and the security abnormal signal in the monitoring area, so that the sensitive perception of potential risks is ensured. This step can convert the digital signal monitored by the sensor into intelligible event information by utilizing advanced signal processing techniques, thereby providing the basis data for subsequent processing and decision making. Meanwhile, emergency degree measurement is carried out on the fire event of the monitoring area and the security abnormal event of the monitoring area so as to obtain emergency degree measurement values of the fire event and the security abnormal event. By measuring the emergency degree, the emergency of different events can be quantified, and a scientific basis is provided for subsequent priority processing, so that the emergency handling efficiency is improved. And secondly, calculating the threshold value of the fire signal of the monitoring area and the security abnormal signal of the monitoring area by using a proper signal event emergency threshold value calculation formula so as to obtain the emergency threshold value of the signal event of the monitoring area. This step enables the sensitivity of the emergency to be adjusted according to the specific situation by calculating the quantified emergency threshold, thereby achieving an accurate determination of the emergency. And then comparing and judging the fire event emergency degree measured value and the security abnormal event emergency degree measured value by using the calculated signal event emergency threshold value of the monitoring area, so that the signal event of the monitoring area is marked as a fire emergency event, a security emergency event or a fire-security emergency event. The step balances the real-time performance and the accuracy, and ensures the timely and effective identification of various events. And then, carrying out emergency linkage analysis on the fire emergency of the monitoring area, the security emergency of the monitoring area and the fire-security emergency of the monitoring area, so that the emergency of the monitoring area can be more comprehensively understood through analysis on the relevance among different events, and more comprehensive information support is provided for subsequent decisions. Finally, the emergency situation information data is used for automatically alarming the security and fire protection monitoring area, so that the automatic processing and alarming of the emergency can be realized, the time delay of human intervention is reduced, the emergency response speed of the security and fire protection monitoring system is improved, and the security and stability of the monitoring area are ensured.
Preferably, the signal event emergency threshold calculation formula in step S43 is specifically:
Wherein E is a monitoring area signal event emergency threshold, x is a monitoring area fire signal, y is a monitoring area security abnormal signal, delta is an overall weight parameter of signal event emergency, mu x is a signal normal distribution mean value of the monitoring area fire signal, sigma x is a signal normal distribution standard deviation of the monitoring area fire signal, mu y is a signal normal distribution mean value of the monitoring area security abnormal signal, sigma y is a signal normal distribution standard deviation of the monitoring area security abnormal signal, rho 1 is a signal normal distribution adjustment parameter, rho 2 is a reconciliation smoothing parameter of signal event emergency, rho 3 is an amplitude adjustment parameter of signal event emergency, rho 4 is a period adjustment parameter of signal event emergency, omega is a frequency adjustment parameter of signal event emergency, and epsilon is a correction value of the monitoring area signal event emergency threshold.
The invention constructs a signal event emergency threshold calculation formula which is used for carrying out threshold calculation on fire signals in a monitoring area and security abnormal signals in the monitoring area, wherein the signal event emergency threshold calculation formula is used for adjusting the influence condition of the overall emergency degree by using an overall weight parameter, influencing the shape of signal normal distribution by using a signal normal distribution adjusting parameter, smoothing the emergency degree of a signal event by using a harmonic smoothing parameter, adjusting the influence of the amplitude of the signal event on the emergency degree by using an amplitude adjusting parameter, adjusting the influence of the period of the signal event on the emergency degree by using a period adjusting parameter and adjusting the influence of the frequency of the signal event on the emergency degree by using a frequency adjusting parameter. In summary, the purpose of the formula is to calculate a comprehensive emergency threshold of signal event according to the distribution of fire signals and security abnormal signals in the monitored area and a series of adjustment parameters, and the threshold can be used to measure the emergency degree of signal event in the monitored area. The formula fully considers a monitoring area signal event emergency threshold E, a monitoring area fire signal x, a monitoring area security abnormal signal y, an overall weight parameter delta of signal event emergency, a signal normal distribution mean value mu x of the monitoring area fire signal, a signal normal distribution standard deviation sigma x of the monitoring area fire signal, a signal normal distribution mean value mu y of the monitoring area security abnormal signal, a signal normal distribution standard deviation sigma y of the monitoring area security abnormal signal, a signal normal distribution adjustment parameter rho 1, a harmonic smoothing parameter rho 2 of signal event emergency, an amplitude adjustment parameter rho 3 of signal event emergency, a period adjustment parameter rho 4 of signal event emergency, a frequency adjustment parameter omega of signal event emergency, a correction value epsilon of the monitoring area signal event emergency threshold, and a functional relation is formed according to the correlation relation between the monitoring area signal event emergency threshold E and the parameters:
The formula can realize the threshold value calculation process of the fire signal of the monitoring area and the security abnormal signal of the monitoring area, and meanwhile, the introduction of the correction value E of the emergency threshold value of the signal event of the monitoring area can be adjusted according to the error condition in the calculation process, so that the accuracy and the applicability of the signal event emergency threshold value calculation formula are improved.
Preferably, step S5 comprises the steps of:
Step S51: department response instruction analysis is carried out on the monitoring area emergency alarm signals so as to generate monitoring area department emergency response instructions;
According to the embodiment of the invention, the emergency alarm signal of the monitoring area is analyzed by using the alarm signal analysis system so as to analyze the emergency event of the alarm signal of the monitoring area and trigger the department corresponding to the emergency event, so that the corresponding department can rapidly identify and understand the emergency event, and finally, the emergency response instruction of the department of the monitoring area with substantial guiding value is generated.
Step S52: issuing a department emergency response instruction of the monitoring area department and generating an emergency response measure to obtain the emergency response measure of the monitoring area department;
According to the embodiment of the invention, the generated emergency response instruction of the monitoring area department is issued to the relevant response department to trigger the emergency response flow of the relevant response department, and then the relevant response department can generate emergency response measures according to the received instruction, including personnel scheduling, equipment starting, resource allocation and the like, so that the emergency response measures of the monitoring area department are finally obtained.
Step S53: performing cooperative scheduling treatment on the security and protection fire protection monitoring area according to emergency response measures of departments of the monitoring area to obtain alarm response scheduling information data of the monitoring area;
According to the embodiment of the invention, the generated emergency response measures of the departments of the monitoring area are used for carrying out cooperative scheduling on the security and protection fire control monitoring area, so that the emergency response measures of all the departments are integrated, the departments are ensured to cooperatively operate, the overall response speed and the overall response accuracy are improved, and finally the alarm response scheduling information data of the monitoring area are obtained.
Step S54: scheduling and supervising the monitoring area alarm response scheduling information data to obtain monitoring area scheduling and supervising information data;
According to the embodiment of the invention, the monitoring area alarm response scheduling information data is analyzed by using the scheduling supervisory system so as to monitor the alarm response scheduling conditions of each department, and the scheduling state information of the monitoring area is updated in real time, so that the monitoring area scheduling supervisory information data is finally obtained.
Step S55: and carrying out feedback learning optimization on the security and fire protection integrated sensing network according to the monitoring area dispatching supervision information data to obtain the security and fire protection integrated alarm optimization network.
According to the embodiment of the invention, the corresponding scheduling response strategy of the data-driven learning monitoring area scheduling supervision information data is used, and the feedback learning optimization is carried out on the security and fire protection integrated sensing network according to the learned corresponding scheduling response strategy, so that the security and fire protection integrated sensing network can be better adapted to different scenes and events, the accuracy and efficiency of the security and fire protection integrated sensing network are improved, and finally the security and fire protection integrated alarm optimization network is obtained.
The invention firstly analyzes the department response instruction of the emergency alarm signal of the monitoring area, so that the security fire monitoring system can rapidly identify and understand the emergency event, thereby generating the department emergency response instruction with substantial guiding value. Through deep signal analysis, the method improves the recognition accuracy of emergency situations and ensures the rationality and the high efficiency of subsequent responses. Secondly, the generated emergency response instruction of the monitoring area department is issued by the department and emergency response measures are generated, so that actions of different departments can be coordinated. By the aid of the method, cross-department information transmission and resource coordination can be achieved, an emergency response process is optimized to the greatest extent, and comprehensive processing capacity of emergency events is improved. Then, the generated emergency response measures of the monitoring area departments are used for carrying out cooperative scheduling treatment on the security and fire protection monitoring areas, so that the monitoring areas can effectively cope with emergency situations, and the overall emergency response efficiency is improved. Through cooperative scheduling, the step ensures that all departments work cooperatively, improves the overall response speed and accuracy, and is beneficial to reducing the potential risk brought by emergency events. And then, the monitoring of the response process can be realized by carrying out scheduling supervision processing on the monitoring area alarm response scheduling information data, and the standardization and compliance of emergency response are ensured. Through scheduling supervision, potential problems can be found and corrected in time, the quality and transparency of an emergency event processing process are improved, and future response strategies are facilitated to be optimized. Finally, feedback learning optimization is carried out on the security and fire protection integrated sensing network by using the monitoring area dispatching supervision information data, so that continuous promotion of the security and fire protection integrated sensing network can be realized. The step is to make the system adapt to different scenes and events better through data driven learning, improve the level of intellectualization of prediction and response to future emergency events, and provide a sustainable improved mechanism for the long-term performance of the system.
Preferably, the invention also provides an automatic alarm system based on security and fire protection integration, which is used for executing the automatic alarm method based on security and fire protection integration, and comprises the following steps:
The security and fire protection integrated environment sensing module is used for carrying out sensing network integrated processing on security and protection systems and sensors of the fire protection systems in the security and fire protection monitoring area so as to obtain a security and fire protection integrated sensing network, wherein the security and fire protection integrated sensing network comprises a smoke sensor, a temperature sensor, a security and protection monitoring sensor and an intelligent processing unit, and the smoke sensor, the temperature sensor and the security and protection monitoring sensor are electrically connected with the intelligent processing unit; the smoke sensor and the temperature sensor in the security and fire protection integrated sensing network are used for performing environment sensing processing on the security and fire protection monitoring area, so that smoke information data of the monitoring area and temperature information data of the monitoring area are obtained;
The fire signal detection and identification module is used for transmitting the smoke information data of the monitoring area and the temperature information data of the monitoring area to the intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to detect a change signal, so as to obtain a smoke change signal of the monitoring area and a temperature change signal of the monitoring area; carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke change signal and the temperature change signal of the monitoring area so as to obtain a fire signal of the monitoring area;
The security abnormal signal detection module is used for performing security monitoring on a security fire-fighting monitoring area through a security monitoring sensor in the security fire-fighting integrated sensing network to obtain security information data of the monitoring area; transmitting the security information data of the monitoring area to the intelligent processing unit through the data transmission channel to detect security abnormal signals, so as to obtain the security abnormal signals of the monitoring area;
The monitoring area emergency alarm module is used for carrying out emergency linkage analysis on the security and firefighting monitoring area according to the fire signals of the monitoring area and the security and firefighting abnormal signals of the monitoring area to obtain emergency condition information data; according to the emergency situation information data, carrying out automatic alarm processing on the security and protection firefighting monitoring area so as to obtain an emergency alarm signal of the monitoring area;
The cooperative response scheduling feedback optimization module is used for generating and analyzing response measures of emergency alarm signals of the monitoring area so as to obtain emergency response measures of departments of the monitoring area; performing cooperative scheduling treatment on the security and protection fire protection monitoring area according to emergency response measures of departments of the monitoring area to obtain alarm response scheduling information data of the monitoring area; and carrying out feedback learning optimization on the security and fire protection integrated sensing network according to the monitoring area alarm response scheduling information data, thereby obtaining the security and fire protection integrated alarm optimization network.
In summary, the invention provides an automatic alarm system based on security and fire protection integration, which consists of a security and fire protection integration environment sensing module, a fire signal detection and identification module, a security and fire protection abnormal signal detection module, a monitoring area emergency alarm module and a collaborative response scheduling feedback optimization module, wherein the automatic alarm method based on security and fire protection integration can be realized.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. The automatic alarm method based on security and fire control integration is characterized by comprising the following steps of:
step S1: the method comprises the steps that sensor networks are integrated with sensors of a security system and a fire control system in a security and fire control monitoring area to obtain a security and fire control integrated sensor network, wherein the security and fire control integrated sensor network comprises a smoke sensor, a temperature sensor, a security and fire control monitoring sensor and an intelligent processing unit, and the smoke sensor, the temperature sensor and the security and fire control monitoring sensor are electrically connected with the intelligent processing unit; performing environment sensing treatment on a security and fire protection monitoring area through a smoke sensor and a temperature sensor in the security and fire protection integrated sensing network to obtain smoke information data and temperature information data of the monitoring area;
step S2: transmitting the smoke information data and the temperature information data of the monitoring area to an intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to detect a change signal, so as to obtain a smoke change signal and a temperature change signal of the monitoring area; carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke change signal and the temperature change signal of the monitoring area to obtain a fire signal of the monitoring area; step S2 comprises the steps of:
Step S21: transmitting the smoke information data and the temperature information data of the monitoring area to an intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to perform data cleaning treatment to obtain smoke cleaning data and temperature cleaning data of the monitoring area;
Step S22: carrying out noise elimination treatment on the smoke cleaning data of the monitoring area and the temperature cleaning data of the monitoring area to obtain smoke denoising data of the monitoring area and temperature denoising data of the monitoring area;
Step S23: carrying out real-time fluctuation detection on the smoke denoising data of the monitoring area and the temperature denoising data of the monitoring area to obtain smoke fluctuation change data of the monitoring area and temperature fluctuation change data of the monitoring area;
step S24: detecting a change signal of the smoke fluctuation change data of the monitoring area and the temperature fluctuation change data of the monitoring area through the change sensitive element to obtain a smoke change signal of the monitoring area and a temperature change signal of the monitoring area;
step S25: performing anti-interference sampling on the smoke change signal and the temperature change signal of the monitoring area to obtain an anti-interference signal of the smoke of the monitoring area and an anti-interference signal of the temperature of the monitoring area;
Step S26: carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke anti-interference signal and the temperature anti-interference signal of the monitoring area to obtain a fire signal of the monitoring area; step S26 includes the steps of:
Step S261: carrying out signal time alignment processing on the smoke anti-interference signal of the monitoring area and the temperature anti-interference signal of the monitoring area to obtain a smoke time alignment signal of the monitoring area and a temperature time alignment signal of the monitoring area;
Step S262: calculating the variation degree of the smoke time alignment signal of the monitoring area by using a smoke variation degree calculation formula to obtain a smoke variation degree value of the monitoring area; the smoke variation degree calculation formula in step S262 is specifically:
；
In the method, in the process of the invention, To monitor the smoke change value of the area,/>Time range parameters calculated for the degree of variation,/>Time-variable parameter of the outer integral calculated for the degree of variation,/>Time-variable parameter of inner integral calculated for degree of variation,/>For monitoring the sine wave variation amplitude control parameter of the region smoke time alignment signal,/>Frequency control parameter for monitoring sinusoidal wave of a time alignment signal of smoke in an area,/>Control parameter for monitoring sinusoidal wave variation exponential decay of a zone smoke time alignment signal,/>To monitor the sinusoidal variation of a region smoke time alignment signal and to reconcile smoothing parameters,/>For monitoring cosine wave variation amplitude control parameter of smoke time alignment signal of area,/>To monitor the cosine wave variation frequency control parameter of the zone smoke time alignment signal,Control parameter for cosine wave change exponential decay of smoke time alignment signal in monitoring area,/>For monitoring cosine wave variation and smoothing parameters of a region smoke time alignment signal,/>Correction values for monitoring the smoke variation values of the area;
Step S263: comparing and judging the smoke change degree value of the monitoring area according to a preset smoke change degree standard value to obtain a smoke change judgment result of the monitoring area;
Step S264: carrying out change trend judgment processing on the temperature time alignment signal of the monitoring area to obtain a temperature change judgment result of the monitoring area;
Step S265: determining that the smoke change degree value of the monitoring area exceeds a preset smoke change degree standard value and the change trend of the temperature time alignment signal of the monitoring area continuously rises to be a fire signal triggering condition, and when the smoke change judgment result of the monitoring area and the temperature change judgment result of the monitoring area meet the fire signal triggering condition, identifying and determining the signal of the security and protection fire protection monitoring area as a fire signal to obtain the fire signal of the monitoring area; otherwise, do not do any treatment;
Step S3: the security monitoring sensor in the security and fire control integrated sensing network is used for performing security monitoring on the security and fire control monitoring area to obtain security information data of the monitoring area; transmitting the security information data of the monitoring area to an intelligent processing unit through a data transmission channel to detect security abnormal signals, and obtaining the security abnormal signals of the monitoring area;
Step S4: carrying out emergency linkage analysis on the security and firefighting monitoring area according to the fire signals of the monitoring area and the security and firefighting abnormal signals of the monitoring area to obtain emergency condition information data; according to the emergency situation information data, carrying out automatic alarm processing on the security and protection firefighting monitoring area to obtain an emergency alarm signal of the monitoring area; step S4 comprises the steps of:
Step S41: carrying out signal event identification detection on the fire signal of the monitoring area and the security abnormal signal of the monitoring area to obtain a fire event of the monitoring area and the security abnormal event of the monitoring area;
Step S42: the method comprises the steps of carrying out emergency degree measurement on fire events in a monitoring area and security abnormal events in the monitoring area to obtain fire event emergency degree measurement values and security abnormal event emergency degree measurement values;
Step S43: calculating the threshold value of the fire signal of the monitoring area and the security abnormal signal of the monitoring area by using a signal event emergency threshold value calculation formula to obtain a signal event emergency threshold value of the monitoring area; the signal event emergency threshold calculation formula in step S43 specifically includes:
；
In the method, in the process of the invention, For monitoring area signal event emergency threshold,/>To monitor regional fire signals,/>To monitor the regional security anomaly signal,/>Is an overall weight parameter for signal event urgency,/>For monitoring the normal distribution mean value of fire signals in the area,/>For monitoring the normal distribution standard deviation of fire signals in the area,/>For monitoring the normal distribution mean value of the security abnormal signals of the area,/>Signal normal distribution standard deviation of security abnormal signals of monitoring area,/>Adjusting parameters for signal normal distribution,/>For the harmonic smoothing parameter of the degree of urgency of a signal event,/>Amplitude adjustment parameter for signal event urgency,/>Adjusting parameters for periods of signal event urgency,/>Frequency adjustment parameters for signal event urgency,/>Correction value for emergency threshold of monitoring area signal event;
Step S44: comparing and judging fire event emergency degree measurement values and security abnormal event emergency degree measurement values according to the monitoring area signal event emergency threshold value, and marking the signal event of the security fire protection monitoring area as the monitoring area fire emergency event when the fire event emergency degree measurement values exceed the monitoring area signal event emergency threshold value and the security abnormal event emergency degree measurement values do not exceed the monitoring area signal event emergency threshold value; when the fire event emergency degree measured value does not exceed the monitoring area signal event emergency threshold value and the security abnormal event emergency degree measured value exceeds the monitoring area signal event emergency threshold value, marking the signal event of the security fire protection monitoring area as a monitoring area security emergency event; when the fire event emergency degree measured value and the security abnormal event emergency degree measured value both exceed the monitoring area signal event emergency threshold value, marking the signal event of the security fire protection monitoring area as a monitoring area fire disaster-security emergency event; otherwise, do not do any treatment;
step S45: carrying out emergency linkage analysis on the fire emergency of the monitoring area, the security emergency of the monitoring area and the fire-security emergency of the monitoring area to obtain emergency condition information data;
step S46: according to the emergency situation information data, carrying out automatic alarm processing on the security and protection firefighting monitoring area to obtain an emergency alarm signal of the monitoring area;
Step S5: performing response measure generation analysis on the emergency alarm signal of the monitoring area to obtain emergency response measures of departments of the monitoring area; performing cooperative scheduling treatment on the security and protection fire protection monitoring area according to emergency response measures of departments of the monitoring area to obtain alarm response scheduling information data of the monitoring area; and carrying out feedback learning optimization on the security and fire protection integrated sensing network according to the monitoring area alarm response scheduling information data to obtain the security and fire protection integrated alarm optimization network.
2. The security and fire control integrated automatic alarm method according to claim 1, wherein the step S1 comprises the steps of:
Step S11: carrying out sensing position distribution analysis on the security and fire protection monitoring area to obtain security and fire protection sensing distribution position information data;
Step S12: carrying out sensing layout topology analysis on a security monitoring sensor of a security system, a smoke sensor of a fire control system and a temperature sensor of the fire control system in a security and fire control monitoring area according to security and fire control sensing distribution position information data to obtain a security and fire control sensing distribution topology structure network;
Step S13: the intelligent processing unit is integrated in the security and fire protection sensing distribution topological structure network, and a data transmission channel is established between the sensor and the intelligent processing unit in the security and fire protection sensing distribution topological structure network through an Internet of things communication protocol, so that a security and fire protection integrated sensing network is obtained;
Step S14: performing smoke sensing detection on a security and fire protection monitoring area through a smoke sensor in the security and fire protection integrated sensing network to obtain smoke information data of the monitoring area;
step S15: and carrying out temperature sensing detection on the security and fire protection monitoring area through a temperature sensor in the security and fire protection integrated sensing network to obtain temperature information data of the monitoring area.
3. The security and fire control integrated automatic alarm method according to claim 1, wherein the step S3 comprises the steps of:
Step S31: the security monitoring sensor in the security and fire control integrated sensing network is used for performing security monitoring on the security and fire control monitoring area to obtain security information data of the monitoring area;
step S32: transmitting the security information data of the monitoring area to an intelligent processing unit through a data transmission channel to perform security behavior pattern recognition, so as to obtain security behavior pattern data of the monitoring area;
step S33: performing mode anomaly detection on the monitoring area security information data according to the monitoring area security behavior mode data to obtain monitoring area security anomaly behavior data;
Step S34: and carrying out abnormal signal conversion on the security abnormal behavior data of the monitoring area to obtain security abnormal signals of the monitoring area.
4. The security and fire control integrated automatic alarm method according to claim 1, wherein step S5 comprises the steps of:
Step S51: department response instruction analysis is carried out on the monitoring area emergency alarm signals so as to generate monitoring area department emergency response instructions;
Step S52: issuing a department emergency response instruction of the monitoring area department and generating an emergency response measure to obtain the emergency response measure of the monitoring area department;
step S53: performing cooperative scheduling treatment on the security and protection fire protection monitoring area according to emergency response measures of departments of the monitoring area to obtain alarm response scheduling information data of the monitoring area;
Step S54: scheduling and supervising the monitoring area alarm response scheduling information data to obtain monitoring area scheduling and supervising information data;
Step S55: and carrying out feedback learning optimization on the security and fire protection integrated sensing network according to the monitoring area dispatching supervision information data to obtain the security and fire protection integrated alarm optimization network.
5. An automatic alarm system based on security and fire protection integration, which is used for executing the automatic alarm method based on security and fire protection integration according to claim 1, and comprises the following steps:
The security and fire protection integrated environment sensing module is used for carrying out sensing network integrated processing on security and protection systems and sensors of the fire protection systems in the security and fire protection monitoring area so as to obtain a security and fire protection integrated sensing network, wherein the security and fire protection integrated sensing network comprises a smoke sensor, a temperature sensor, a security and protection monitoring sensor and an intelligent processing unit, and the smoke sensor, the temperature sensor and the security and protection monitoring sensor are electrically connected with the intelligent processing unit; the smoke sensor and the temperature sensor in the security and fire protection integrated sensing network are used for performing environment sensing processing on the security and fire protection monitoring area, so that smoke information data of the monitoring area and temperature information data of the monitoring area are obtained;
The fire signal detection and identification module is used for transmitting the smoke information data of the monitoring area and the temperature information data of the monitoring area to the intelligent processing unit through a data transmission channel in the security and fire protection integrated sensing network to detect a change signal, so as to obtain a smoke change signal of the monitoring area and a temperature change signal of the monitoring area; carrying out fire signal identification processing on the security and protection fire protection monitoring area according to the smoke change signal and the temperature change signal of the monitoring area so as to obtain a fire signal of the monitoring area;
The security abnormal signal detection module is used for performing security monitoring on a security fire-fighting monitoring area through a security monitoring sensor in the security fire-fighting integrated sensing network to obtain security information data of the monitoring area; transmitting the security information data of the monitoring area to the intelligent processing unit through the data transmission channel to detect security abnormal signals, so as to obtain the security abnormal signals of the monitoring area;
The monitoring area emergency alarm module is used for carrying out emergency linkage analysis on the security and firefighting monitoring area according to the fire signals of the monitoring area and the security and firefighting abnormal signals of the monitoring area to obtain emergency condition information data; according to the emergency situation information data, carrying out automatic alarm processing on the security and protection firefighting monitoring area so as to obtain an emergency alarm signal of the monitoring area;
The cooperative response scheduling feedback optimization module is used for generating and analyzing response measures of emergency alarm signals of the monitoring area so as to obtain emergency response measures of departments of the monitoring area; performing cooperative scheduling treatment on the security and protection fire protection monitoring area according to emergency response measures of departments of the monitoring area to obtain alarm response scheduling information data of the monitoring area; and carrying out feedback learning optimization on the security and fire protection integrated sensing network according to the monitoring area alarm response scheduling information data, thereby obtaining the security and fire protection integrated alarm optimization network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311648318.6A CN117576854B (en) | 2023-12-04 | 2023-12-04 | Automatic alarm method and system based on security and fire protection integration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311648318.6A CN117576854B (en) | 2023-12-04 | 2023-12-04 | Automatic alarm method and system based on security and fire protection integration |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117576854A CN117576854A (en) | 2024-02-20 |
| CN117576854B true CN117576854B (en) | 2024-05-17 |
Family
ID=89860673
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311648318.6A Active CN117576854B (en) | 2023-12-04 | 2023-12-04 | Automatic alarm method and system based on security and fire protection integration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117576854B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101175202B1 (en) * | 2011-03-31 | 2012-08-20 | 이호기술단(주) | Real-time fire sensing and monitoring system |
| CN102682565A (en) * | 2012-03-23 | 2012-09-19 | 合肥博构元丰信息技术有限公司 | Fire protection and security integrated intelligent video monitoring system suitable for open space |
| CN202711401U (en) * | 2012-01-12 | 2013-01-30 | 黄剑锋 | Automatic alarm system of safety protection and fire alerting integration |
| CN210091331U (en) * | 2019-07-18 | 2020-02-18 | 江苏正安消防工程技术有限公司 | Fire safety integration system |
| CN111882815A (en) * | 2020-07-30 | 2020-11-03 | 吉林建筑大学 | Intelligent security and fire protection integrated method and system |
| CN115660922A (en) * | 2022-10-21 | 2023-01-31 | 浙江安诺数据技术服务有限公司 | Intelligent safety and fire integrated early warning management system based on Internet of things |
| CN218676203U (en) * | 2022-09-27 | 2023-03-21 | 湖北桓荣电子有限公司 | Safety and fire integrated monitoring device |
| DE202023104113U1 (en) * | 2023-07-24 | 2023-08-10 | Sudhakara Sundeep Menon | Integrated geospatial decision-making system for real-time fire detection and emergency management |
| CN116880249A (en) * | 2023-06-08 | 2023-10-13 | 淮北矿业(集团)有限责任公司物业分公司 | Safety and extinction integrated risk sensing early warning prevention and control management platform |
| CN117095506A (en) * | 2023-10-18 | 2023-11-21 | 潍坊市平安消防工程有限公司 | Fire safety monitoring system and method based on alarm area model |
-
2023
- 2023-12-04 CN CN202311648318.6A patent/CN117576854B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101175202B1 (en) * | 2011-03-31 | 2012-08-20 | 이호기술단(주) | Real-time fire sensing and monitoring system |
| CN202711401U (en) * | 2012-01-12 | 2013-01-30 | 黄剑锋 | Automatic alarm system of safety protection and fire alerting integration |
| CN102682565A (en) * | 2012-03-23 | 2012-09-19 | 合肥博构元丰信息技术有限公司 | Fire protection and security integrated intelligent video monitoring system suitable for open space |
| CN210091331U (en) * | 2019-07-18 | 2020-02-18 | 江苏正安消防工程技术有限公司 | Fire safety integration system |
| CN111882815A (en) * | 2020-07-30 | 2020-11-03 | 吉林建筑大学 | Intelligent security and fire protection integrated method and system |
| CN115862261A (en) * | 2020-07-30 | 2023-03-28 | 吉林建筑大学 | Intelligent security and fire protection integrated method, system, program product and medium |
| CN218676203U (en) * | 2022-09-27 | 2023-03-21 | 湖北桓荣电子有限公司 | Safety and fire integrated monitoring device |
| CN115660922A (en) * | 2022-10-21 | 2023-01-31 | 浙江安诺数据技术服务有限公司 | Intelligent safety and fire integrated early warning management system based on Internet of things |
| CN116880249A (en) * | 2023-06-08 | 2023-10-13 | 淮北矿业(集团)有限责任公司物业分公司 | Safety and extinction integrated risk sensing early warning prevention and control management platform |
| DE202023104113U1 (en) * | 2023-07-24 | 2023-08-10 | Sudhakara Sundeep Menon | Integrated geospatial decision-making system for real-time fire detection and emergency management |
| CN117095506A (en) * | 2023-10-18 | 2023-11-21 | 潍坊市平安消防工程有限公司 | Fire safety monitoring system and method based on alarm area model |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117576854A (en) | 2024-02-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108418841B (en) | Next-generation key message infrastructure network Security Situation Awareness Systems based on AI | |
| TWI632443B (en) | Apparatus for determining importance of abnormal data and method for determining importance of abnormal data | |
| CN116246407B (en) | Agriculture and forestry area fire early warning supervisory systems based on artificial intelligence | |
| BR112021013786A2 (en) | METHOD AND SYSTEM TO DETECT ANOMALIES OR PREMATURE INDICATIONS OF EQUIPMENT FAILURE | |
| CN112185050B (en) | Security level confirmation method and device and fire fighting system | |
| CN117082105B (en) | Environment-friendly intelligent hospital facility monitoring system and method | |
| JP4635194B2 (en) | Anomaly detection device | |
| CN115165725A (en) | Data-driven marine equipment corrosion monitoring and safety early warning system | |
| CN111047815A (en) | Method and system for identifying false alarm of fire-fighting detector based on self-learning model | |
| CN114004331A (en) | Fault analysis method based on key indexes and deep learning | |
| KR101281460B1 (en) | Method for anomaly detection using statistical process control | |
| CN110428579B (en) | Indoor monitoring system, method and device based on image recognition | |
| CN116915582A (en) | Diagnosis and analysis method and device for fault root cause of communication terminal | |
| CN117576854B (en) | Automatic alarm method and system based on security and fire protection integration | |
| CN117235743B (en) | Intelligent power management method and system based on security risk | |
| CN117435908A (en) | Multi-fault feature extraction method for rotary machine | |
| CN110007171A (en) | The screening method and system of transformer online monitoring data false alarm | |
| CN108761250A (en) | A kind of intrusion detection method based on industrial control equipment voltage and current | |
| CN104240432A (en) | System and method for manganese-rich slag production safety monitoring on basis of information fusion | |
| CN109803301B (en) | Offline identification management system for wireless network | |
| CN106771729A (en) | A kind of relay protection device risk evaluating system and method | |
| CN112579665A (en) | Energy equipment control method and device and energy equipment | |
| CN116599767B (en) | Network threat monitoring system based on machine learning | |
| CN112904816B (en) | Intelligent environment-friendly real-time monitoring method | |
| CN117493129B (en) | Operating power monitoring system of computer control equipment |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |