CN113808367A - Intelligent security system based on big data service - Google Patents
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Abstract
The invention provides a smart security system based on big data service, which relates to the technical field of security systems and comprises a platform framework, a functional module and a big data center, wherein the platform framework comprises a central control terminal, a model construction system, a communication module and a security system; according to the invention, the security building model is built through the model building system, the security data at the corresponding position of the security building are identified through the security hardware module, the coordinates are correspondingly marked in the model, meanwhile, the connection is built through the communication module, the real-time acquisition and remote control of the data are facilitated, the informatization degree is high, the real-time detection data and the monitoring data threshold value packet of the security hardware module are compared through the deep learning comparison module, and the early warning marking module is connected, so that the early warning can be carried out, and the linkage and comprehensive processing capability is strong.
Description
Technical Field
The invention relates to the technical field of security systems, in particular to an intelligent security system based on big data service.
Background
The development of emerging technologies such as Internet of things, Internet and cloud computing marks the coming of a big data era, the working, living and thinking modes of people are changed, the security work also meets the development trend of the era and the era requirement of smart city construction, the big data cloud computing means is fully used to construct smart security, and the security prevention and control capability and the comprehensive management and control capability are remarkably improved;
the existing security systems run independently, lack standardized real-time data acquisition and remote control interfaces, have low informatization degree, and the security systems are not strong in linkage and comprehensive processing capability, generally only can play a simple video monitoring role, cannot identify fire and cannot identify robbery, so that the invention provides an intelligent security system based on big data service to solve the problems in the prior art.
Disclosure of Invention
Aiming at the problems, the invention provides the intelligent security system based on the big data service, the whole security process of the intelligent security system based on the big data service can be carried out from one security building model, and the linkage and comprehensive processing capacity is strong.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: a big data service-based intelligent security system comprises a platform framework, a functional module and a big data center, wherein the platform framework comprises a central control terminal, a model building system, a communication module and a security system, the functional module comprises security monitoring hardware, a data storage center and an early warning mark module, and the big data center comprises a deep learning comparison module, a search engine and a security data knowledge base;
the central control terminal is an security computer, the model construction system, the communication module and the security system are all based on the security computer, the model construction system is used for constructing an equal-scale-down model of a security building in the security computer and coordinates the model into a security building model, the communication module is connected with the security computer and security monitoring hardware, and the communication module transmits data identified by the security monitoring hardware to the security computer;
the security hardware module comprises a camera, a temperature sensor, a smoke sensor, a sound sensor, a carbon dioxide sensor and an electric control lock, the security hardware module is arranged in a security building at equal intervals, the model building system identifies the actual position of the security hardware module, coordinates are correspondingly marked in the model and connection is established, the data storage center comprises local storage and cloud backup, the data storage center stores data received by the communication module and stamps, the early warning marking module comprises an audible and visual alarm and a coordinate flashing display program, and the coordinate flashing display program carries out highlight flashing on a coordinate area with hidden security danger based on the model building system;
the security data knowledge base stores all standard monitoring data threshold value packets related to the security hardware module through a search engine, the deep learning comparison module compares real-time detection data of the security hardware module with the monitoring data threshold value packets, and is connected with the early warning marking module to perform early warning.
The further improvement lies in that: the data storage center, the early warning editing module, the deep learning comparison module, the search engine and the security data knowledge base are all based on a security computer, the security computer comprises a display and a control host, and the model building system displays the built model on the display.
The further improvement lies in that: the model building system is based on an exchangeable image file EXIF principle, takes a digital image of a security building as a carrier, fuses spatial positions and general form attributes to build a data model, embeds coordinate information and distribution map attributes associated with the security building in the model, fuses and imports the model into GML to realize visualization of coordinate space data, and simultaneously performs space-time data vectorization based on SVG to form points, lines and surfaces and form specific data coordinates to finish building model coordinatization.
The further improvement lies in that: the communication module comprises a distributed data communication system and a data center core bus, the distributed data communication system is connected with the security hardware module through a network, data uploaded by the security hardware module are analyzed, processed and classified, the data center core bus is the core of the communication module, exchange and queue functions are arranged inside the data center core bus, different data are distributed to different queues according to different hardware of the security hardware module, the data are supplied to a processing program of corresponding data in the security computer, and the data are displayed on the display.
The further improvement lies in that: the security protection data knowledge base comprises a temperature alarm threshold value package, a carbon dioxide alarm threshold value package, a smoke concentration early warning threshold value package and a noise package, the data of identification is transmitted to the security protection computer every 1h by the temperature sensor, the smoke sensor and the carbon dioxide sensor through a communication module, the module is compared in deep learning, the threshold values in the real-time data and the temperature alarm threshold value package, the carbon dioxide alarm threshold value package and the smoke concentration early warning threshold value package are compared, the fire is judged, when the fire occurs, the early warning marking module is started by the module in deep learning, the coordinate position corresponding to the fire in the security protection building model is highlighted, and the sound and light alarm is synchronized.
The further improvement lies in that: the noise package includes the decibel threshold value of pounding noise, broken noise of glass, collision noise and corresponding noise, the sound sensor passes through communication module with the sound data and the decibel data of discernment and transmits for the ann's computer, the module is compared to the deep learning and is compared real-time data and noise package, judges the sound type earlier, judges the sound decibel again, when the sound data of discernment accords with sound type and threshold value simultaneously, the module is compared to the deep learning and starts early warning mark module, steals in the security building model and robs the coordinate position that sound takes place to correspond and carries out the highlight scintillation, the synchronous audible-visual annunciator audible-visual alarm.
The further improvement lies in that: the cameras are directly connected with corresponding coordinates in the security building model and provide starting service, and managers select the starting service of the coordinates in the security building model to open the cameras at corresponding positions to observe the site in real time.
The further improvement lies in that: the electric control lock is a coded lock and is directly connected with the early warning marking module through the communication module, when the electric control lock is cracked violently, the early warning marking module conducts highlight flicker at the position of the coordinate corresponding to the cracking of the electric control lock in the security building model, and the audible and visual alarm is synchronous in audible and visual alarm.
The further improvement lies in that: the search engine adopts an ElasticSearch + Logstash + Kibana framework to deploy the search engine, utilizes an ElasticSearch search server to complete a distributed multi-user full-text search engine, and performs big data customization for the requirement of a security data knowledge base by using a Logstash log analysis engine and a Kibana visual platform.
The further improvement lies in that: the security system adopts access authorization, control authorization, an operating system, variable/parameter uploading of user autonomous selection and reverse control judgment, and carries out channel encryption, data packet encryption and a private protocol on the communication module.
The invention has the beneficial effects that:
1. the invention constructs an equal-scale reduced model of a security building in a security computer through a model construction system, identifies security data at a corresponding position of the security building through a security hardware module, correspondingly marks coordinates in the model, and establishes connection through a communication module, thereby facilitating real-time acquisition and remote control of the data, having high informatization degree, comparing real-time detection data and a monitoring data threshold value packet of the security hardware module through a deep learning comparison module, and connecting an early warning marking module, thereby early warning can be carried out, the whole security process can be carried out from one security building model, and the linkage and comprehensive processing capability is strong.
2. The invention uses big data to form a standard monitoring data threshold value packet through a search engine, compares the real-time data with the threshold values in a temperature alarm threshold value packet, a carbon dioxide alarm threshold value packet and a smoke concentration early warning threshold value packet through a deep learning comparison module to judge the fire situation, compares the real-time data with a noise packet through the deep learning comparison module, judges the sound type firstly and then judges the sound decibel so as to judge the robbery, detects the brute force crack through an electric control lock in real time, automatically starts an early warning marking module when the security situation occurs, carries out high-brightness flicker at the coordinate position corresponding to the security situation in a security building model, synchronously carries out acousto-optic alarm, a manager opens a camera at the corresponding position through selecting the start service of the coordinates in the security building model to observe the site in real time, and based on the big data comparison, the security and protection are more comprehensive aiming at types.
3. The invention adopts access authorization, control authorization, an operating system, variable/parameter uploading of user autonomous selection and reverse control judgment, and carries out channel encryption, data packet encryption and private protocol on the communication module, thereby ensuring the safety of the whole security system.
Drawings
FIG. 1 is a block diagram of the present invention.
Detailed Description
In order to further understand the present invention, the following detailed description will be made with reference to the following examples, which are only used for explaining the present invention and are not to be construed as limiting the scope of the present invention.
Example one
According to the illustration in fig. 1, the embodiment provides a smart security system based on big data service, which includes a platform framework, a functional module and a big data center, wherein the platform framework includes a central control terminal, a model building system, a communication module and a security system, the functional module includes security monitoring hardware, a data storage center and an early warning mark module, and the big data center includes a deep learning comparison module, a search engine and a security data knowledge base;
the central control terminal is an security computer, the model construction system, the communication module and the security system are all based on the security computer, the model construction system is used for constructing an equal-scale-down model of a security building in the security computer and coordinates the model into a security building model, the communication module is connected with the security computer and security monitoring hardware, and the communication module transmits data identified by the security monitoring hardware to the security computer;
the security hardware module comprises a camera, a temperature sensor, a smoke sensor, a sound sensor, a carbon dioxide sensor and an electric control lock, the security hardware module is arranged in a security building at equal intervals, the model building system identifies the actual position of the security hardware module, coordinates are correspondingly marked in the model and connection is established, the data storage center comprises local storage and cloud backup, the data storage center stores data received by the communication module and stamps, the early warning marking module comprises an audible and visual alarm and a coordinate flashing display program, and the coordinate flashing display program carries out highlight flashing on a coordinate area with hidden security danger based on the model building system;
the security data knowledge base stores all standard monitoring data threshold value packets related to the security hardware module through a search engine, the deep learning comparison module compares real-time detection data of the security hardware module with the monitoring data threshold value packets, and is connected with the early warning marking module to perform early warning. The equal-scale reduction model of the security building is built in the security computer, the security data at the corresponding position of the security building are identified through the security hardware module, the model corresponds to the marked coordinates, meanwhile, the connection is built through the communication module, the real-time acquisition and remote control of the data are facilitated, the informatization degree is high, the module is compared with the security hardware module through deep learning comparison, the real-time detection data and the monitoring data threshold value packet are compared, the early warning marking module is connected, early warning can be carried out, the whole security process can be carried out from one security building model, and the linkage and comprehensive processing capability is strong.
The data storage center, the early warning editing module, the deep learning comparison module, the search engine and the security data knowledge base are all based on a security computer, the security computer comprises a display and a control host, and the model building system displays the built model on the display.
The model building system is based on an exchangeable image file EXIF principle, takes a digital image of a security building as a carrier, fuses spatial positions and general form attributes to build a data model, embeds coordinate information and distribution map attributes associated with the security building in the model, fuses and imports the model into GML to realize visualization of coordinate space data, and simultaneously performs space-time data vectorization based on SVG to form points, lines and surfaces and form specific data coordinates to finish building model coordinatization.
The communication module comprises a distributed data communication system and a data center core bus, the distributed data communication system is connected with the security hardware module through a network, data uploaded by the security hardware module are analyzed, processed and classified, the data center core bus is the core of the communication module, exchange and queue functions are arranged inside the data center core bus, different data are distributed to different queues according to different hardware of the security hardware module, the data are supplied to a processing program of corresponding data in the security computer, and the data are displayed on the display.
The security protection data knowledge base comprises a temperature alarm threshold value package, a carbon dioxide alarm threshold value package, a smoke concentration early warning threshold value package and a noise package, the data of identification is transmitted to the security protection computer every 1h by the temperature sensor, the smoke sensor and the carbon dioxide sensor through a communication module, the module is compared in deep learning, the threshold values in the real-time data and the temperature alarm threshold value package, the carbon dioxide alarm threshold value package and the smoke concentration early warning threshold value package are compared, the fire is judged, when the fire occurs, the early warning marking module is started by the module in deep learning, the coordinate position corresponding to the fire in the security protection building model is highlighted, and the sound and light alarm is synchronized.
The noise package includes the decibel threshold value of pounding noise, broken noise of glass, collision noise and corresponding noise, the sound sensor passes through communication module with the sound data and the decibel data of discernment and transmits for the ann's computer, the module is compared to the deep learning and is compared real-time data and noise package, judges the sound type earlier, judges the sound decibel again, when the sound data of discernment accords with sound type and threshold value simultaneously, the module is compared to the deep learning and starts early warning mark module, steals in the security building model and robs the coordinate position that sound takes place to correspond and carries out the highlight scintillation, the synchronous audible-visual annunciator audible-visual alarm.
The cameras are directly connected with corresponding coordinates in the security building model and provide starting service, and managers select the starting service of the coordinates in the security building model to open the cameras at corresponding positions to observe the site in real time.
The electric control lock is a coded lock and is directly connected with the early warning marking module through the communication module, when the electric control lock is cracked violently, the early warning marking module conducts highlight flicker at the position of the coordinate corresponding to the cracking of the electric control lock in the security building model, and the audible and visual alarm is synchronous in audible and visual alarm.
The search engine adopts an ElasticSearch + Logstash + Kibana framework to deploy the search engine, utilizes an ElasticSearch search server to complete a distributed multi-user full-text search engine, and performs big data customization for the requirement of a security data knowledge base by using a Logstash log analysis engine and a Kibana visual platform. Based on big data, the method is more perfect.
Example two
According to the illustration in fig. 1, the embodiment provides a smart security system based on big data service, which includes a platform framework, a functional module and a big data center, wherein the platform framework includes a central control terminal, a model building system, a communication module and a security system, the functional module includes security monitoring hardware, a data storage center and an early warning mark module, and the big data center includes a deep learning comparison module, a search engine and a security data knowledge base;
the central control terminal is an security computer, the model construction system, the communication module and the security system are all based on the security computer, the model construction system is used for constructing an equal-scale-down model of a security building in the security computer and coordinates the model into a security building model, the communication module is connected with the security computer and security monitoring hardware, and the communication module transmits data identified by the security monitoring hardware to the security computer;
the security hardware module comprises a camera, a temperature sensor, a smoke sensor, a sound sensor, a carbon dioxide sensor and an electric control lock, the security hardware module is arranged in a security building at equal intervals, the model building system identifies the actual position of the security hardware module, coordinates are correspondingly marked in the model and connection is established, the data storage center comprises local storage and cloud backup, the data storage center stores data received by the communication module and stamps, the early warning marking module comprises an audible and visual alarm and a coordinate flashing display program, and the coordinate flashing display program carries out highlight flashing on a coordinate area with hidden security danger based on the model building system;
the security data knowledge base stores all standard monitoring data threshold value packets related to the security hardware module through a search engine, the deep learning comparison module compares real-time detection data of the security hardware module with the monitoring data threshold value packets, and is connected with the early warning marking module to perform early warning. The equal-scale reduction model of the security building is built in the security computer, the security data at the corresponding position of the security building are identified through the security hardware module, the model corresponds to the marked coordinates, meanwhile, the connection is built through the communication module, the real-time acquisition and remote control of the data are facilitated, the informatization degree is high, the module is compared with the security hardware module through deep learning comparison, the real-time detection data and the monitoring data threshold value packet are compared, the early warning marking module is connected, early warning can be carried out, the whole security process can be carried out from one security building model, and the linkage and comprehensive processing capability is strong.
The security system adopts access authorization, control authorization, an operating system, variable/parameter uploading of user autonomous selection and reverse control judgment, and carries out channel encryption, data packet encryption and a private protocol on the communication module.
The invention constructs an equal-scale reduced model of a security building in a security computer through a model construction system, identifies security data at a corresponding position of the security building through a security hardware module, correspondingly marks coordinates in the model, and establishes connection through a communication module, thereby facilitating real-time acquisition and remote control of the data, having high informatization degree, comparing real-time detection data and a monitoring data threshold value packet of the security hardware module through a deep learning comparison module, and connecting an early warning marking module, thereby early warning can be carried out, the whole security process can be carried out from one security building model, and the linkage and comprehensive processing capability is strong. Then, the invention uses big data to form a standard monitoring data threshold value packet through a search engine, compares the real-time data with the threshold values in a temperature alarm threshold value packet, a carbon dioxide alarm threshold value packet and a smoke concentration early warning threshold value packet through a deep learning comparison module to judge the fire situation, compares the real-time data with a noise packet through the deep learning comparison module, judges the sound type firstly and then judges the sound decibel so as to judge the robbery, detects the brute force through an electric control lock in real time, automatically starts an early warning marking module when the security situation occurs, carries out high-brightness flicker at the coordinate position corresponding to the security situation in a security building model, synchronously carries out acousto-optic alarm through an acousto-optic alarm, a manager opens a camera at the corresponding position through selecting the start service of coordinates in the security building model to carry out real-time observation on the site, and based on the big data comparison, the security and protection are more comprehensive aiming at types. In addition, the invention adopts access authorization, control authorization, an operating system, variable/parameter uploading of user autonomous selection and reverse control judgment, and carries out channel encryption, data packet encryption and private protocol on the communication module, thereby ensuring the safety of the whole security system.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides an intelligent security system based on big data service, includes platform framework, functional module and big data center, its characterized in that: the platform framework comprises a central control terminal, a model construction system, a communication module and a safety system, the functional module comprises security monitoring hardware, a data storage center and an early warning mark module, and the big data center comprises a deep learning comparison module, a search engine and a security data knowledge base;
the central control terminal is an security computer, the model construction system, the communication module and the security system are all based on the security computer, the model construction system is used for constructing an equal-scale-down model of a security building in the security computer and coordinates the model into a security building model, the communication module is connected with the security computer and security monitoring hardware, and the communication module transmits data identified by the security monitoring hardware to the security computer;
the security hardware module comprises a camera, a temperature sensor, a smoke sensor, a sound sensor, a carbon dioxide sensor and an electric control lock, the security hardware module is arranged in a security building at equal intervals, the model building system identifies the actual position of the security hardware module, coordinates are correspondingly marked in the model and connection is established, the data storage center comprises local storage and cloud backup, the data storage center stores data received by the communication module and stamps, the early warning marking module comprises an audible and visual alarm and a coordinate flashing display program, and the coordinate flashing display program carries out highlight flashing on a coordinate area with hidden security danger based on the model building system;
the security data knowledge base stores all standard monitoring data threshold value packets related to the security hardware module through a search engine, the deep learning comparison module compares real-time detection data of the security hardware module with the monitoring data threshold value packets, and is connected with the early warning marking module to perform early warning.
2. The intelligent security system based on big data service of claim 1, wherein: the data storage center, the early warning editing module, the deep learning comparison module, the search engine and the security data knowledge base are all based on a security computer, the security computer comprises a display and a control host, and the model building system displays the built model on the display.
3. The intelligent security system based on big data service of claim 2, wherein: the model building system is based on an exchangeable image file EXIF principle, takes a digital image of a security building as a carrier, fuses spatial positions and general form attributes to build a data model, embeds coordinate information and distribution map attributes associated with the security building in the model, fuses and imports the model into GML to realize visualization of coordinate space data, and simultaneously performs space-time data vectorization based on SVG to form points, lines and surfaces and form specific data coordinates to finish building model coordinatization.
4. The intelligent security system based on big data service as claimed in claim 3, wherein: the communication module comprises a distributed data communication system and a data center core bus, the distributed data communication system is connected with the security hardware module through a network, data uploaded by the security hardware module are analyzed, processed and classified, the data center core bus is the core of the communication module, exchange and queue functions are arranged inside the data center core bus, different data are distributed to different queues according to different hardware of the security hardware module, the data are supplied to a processing program of corresponding data in the security computer, and the data are displayed on the display.
5. The intelligent security system based on big data service of claim 4, wherein: the security protection data knowledge base comprises a temperature alarm threshold value package, a carbon dioxide alarm threshold value package, a smoke concentration early warning threshold value package and a noise package, the data of identification is transmitted to the security protection computer every 1h by the temperature sensor, the smoke sensor and the carbon dioxide sensor through a communication module, the module is compared in deep learning, the threshold values in the real-time data and the temperature alarm threshold value package, the carbon dioxide alarm threshold value package and the smoke concentration early warning threshold value package are compared, the fire is judged, when the fire occurs, the early warning marking module is started by the module in deep learning, the coordinate position corresponding to the fire in the security protection building model is highlighted, and the sound and light alarm is synchronized.
6. The intelligent security system based on big data service of claim 5, wherein: the noise package includes the decibel threshold value of pounding noise, broken noise of glass, collision noise and corresponding noise, the sound sensor passes through communication module with the sound data and the decibel data of discernment and transmits for the ann's computer, the module is compared to the deep learning and is compared real-time data and noise package, judges the sound type earlier, judges the sound decibel again, when the sound data of discernment accords with sound type and threshold value simultaneously, the module is compared to the deep learning and starts early warning mark module, steals in the security building model and robs the coordinate position that sound takes place to correspond and carries out the highlight scintillation, the synchronous audible-visual annunciator audible-visual alarm.
7. The intelligent security system based on big data service of claim 6, wherein: the cameras are directly connected with corresponding coordinates in the security building model and provide starting service, and managers select the starting service of the coordinates in the security building model to open the cameras at corresponding positions to observe the site in real time.
8. The intelligent security system based on big data service of claim 7, wherein: the electric control lock is a coded lock and is directly connected with the early warning marking module through the communication module, when the electric control lock is cracked violently, the early warning marking module conducts highlight flicker at the position of the coordinate corresponding to the cracking of the electric control lock in the security building model, and the audible and visual alarm is synchronous in audible and visual alarm.
9. The intelligent security system based on big data service of claim 8, wherein: the search engine adopts an ElasticSearch + Logstash + Kibana framework to deploy the search engine, utilizes an ElasticSearch search server to complete a distributed multi-user full-text search engine, and performs big data customization for the requirement of a security data knowledge base by using a Logstash log analysis engine and a Kibana visual platform.
10. The intelligent security system based on big data service of claim 1, wherein: the security system adopts access authorization, control authorization, an operating system, variable/parameter uploading of user autonomous selection and reverse control judgment, and carries out channel encryption, data packet encryption and a private protocol on the communication module.
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