CN114827221A - Intelligent community comprehensive intelligent analysis and early warning system and method - Google Patents
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Abstract
The invention discloses a comprehensive intelligent analysis and early warning system and method for a smart community, and belongs to the technical field of smart communities. In order to solve the problems of data closure and difficulty in early warning in time, the monitoring camera is installed in each security area, the face recognition module is electrically connected with the behavior analysis module and the AI analysis module, the practical situations that the property management work is difficult to implement and the potential safety hazard is difficult to prevent are solved, by the technical means of high-definition monitoring, face recognition, AI, intellectualization and the like, the potential safety hazard is accurately recognized, the real-time alarm event is accurately handled, the large data query unit gathers all data in the district, the data island of each level of unit information is broken through, data fusion is realized, the fusion analysis module comprehensively analyzes community information by combining monitoring video stream data and all data in the district, based on data, scientific decision making, real-time popup early warning of abnormal conditions and key events are realized, and a command center can check on line, so that online trace management of events and full-process closed-loop management are realized.
Description
Technical Field
The invention relates to the technical field of intelligent communities, in particular to a comprehensive intelligent analysis and early warning system and method for an intelligent community.
Background
The intelligent community integrates various existing service resources of the community by utilizing various intelligent technologies and modes, and provides multiple convenient services such as government affairs, commerce, entertainment, education, medical care, life mutual assistance and the like for the community. From the application direction, the intelligent community can improve the transaction efficiency by intelligent government affairs, improve the life of people by intelligent people, build intelligent life by intelligent families, and improve the community quality by intelligent communities.
The intelligent community is a new idea of community management and is a new mode of social management innovation in new situations. The intelligent community fully utilizes the integrated application of new-generation information technologies such as Internet of things, cloud computing and mobile internet, and provides a safe, comfortable and convenient modern and intelligent living environment for community residents, so that a community with a new management form based on informatization and intelligent social management and service is formed. The construction of the intelligent community can effectively promote economic transformation and promote the development of the modern service industry.
When a smart community is selected, security of the community is also the most important aspect of people, so how to set a safe and reliable security analysis and early warning system becomes the problem to be solved urgently for each smart community, and the existing smart community analysis and early warning system often has the following defects:
1. the existing analysis and early warning system is difficult to implement property management work, difficult to prevent potential safety hazards and incapable of effectively preventing the potential safety hazards, so that timely warning, timely processing and real-time follow-up are difficult to realize.
2. The existing analysis and early warning system is often closed in management of data information of different jurisdictions, and each level of unit information is in a data island state, so that data fusion is difficult to realize, the maximum value of data resources is exerted, the comprehensive analysis result is influenced, and then scientific decision is difficult to realize.
3. The existing analysis and early warning system is often lack of effective dynamic management for different crowds, so that potential safety hazards cannot be effectively prevented, and then the safety management level of a community is difficult to guarantee.
Disclosure of Invention
The invention aims to provide a comprehensive intelligent analysis and early warning system and a comprehensive intelligent analysis and early warning method for an intelligent community, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a comprehensive intelligent analysis and early warning system for an intelligent community comprises a command center, control terminals, mobile terminals, peripheral components and a wireless internet, wherein the control terminals are arranged in the command center, the control terminals are provided with a plurality of groups, an intelligent analysis system, an intelligent early warning system and a power supply module are arranged in the control terminals, the intelligent analysis system and the intelligent early warning system are in interactive connection, and the power supply module is electrically connected with the intelligent analysis system and the intelligent early warning system;
the control terminal, the mobile terminal and the peripheral components are connected in a wireless network through a wireless internet;
the mobile terminal is internally provided with an APP program, the peripheral component comprises a monitoring camera, a data transmission unit is arranged inside the monitoring camera, and the data transmission unit is connected with the control terminal through a wireless internet wireless network.
Furthermore, inside data receiving unit, wisdom identification element, big data query unit and the information sending unit of being provided with of intelligent analysis system, the input of data receiving unit passes through wireless internet wireless network connection data transmission unit, the input of wisdom identification element is connected to the output electricity of data receiving unit, the input of big data query unit is connected to the output electricity of wisdom identification element, the information sending unit is connected to the output electricity of big data query unit, intelligent early warning system is connected to the output electricity of information sending unit.
Furthermore, the data receiving unit comprises a network interaction module and a data integration module, the data receiving unit is connected with the wireless internet through the network interaction module, the input end of the network interaction module is in data connection with the peripheral component through the wireless internet, the output end of the network interaction module is electrically connected with the data integration module, and the output end of the data integration module is electrically connected with the intelligent identification unit.
Furthermore, the intelligent identification unit comprises a face identification module, a behavior analysis module, an AI analysis module, a crowd card module and an abnormality arrangement module, wherein the input end of the face identification module is electrically connected with the output end of the data integration module, the input end of the face identification module is electrically connected with the input ends of the behavior analysis module and the AI analysis module, the output ends of the behavior analysis module and the AI analysis module are electrically connected with the input ends of the crowd card module and the abnormality arrangement module, the output end of the abnormality arrangement module is electrically connected with the big data query unit, the big data query unit comprises a data regulation and control module and a fusion analysis module, wherein the output end of the data regulation and control module is electrically connected with the input end of the fusion analysis module, the input end of the fusion analysis module is electrically connected with the output end of the abnormity sorting module, and the output end of the fusion analysis module is electrically connected with the intelligent early warning system.
Furthermore, an information receiving unit, an early warning popup unit, a commanding and scheduling unit, a processing feedback unit, a process tracking unit and an exception recording unit are arranged in the intelligent early warning system, the input end of the information receiving unit is electrically connected with the intelligent analysis system, the output end of the information receiving unit is electrically connected with the input end of the early warning popup unit, the output end of the commanding and scheduling unit is connected with the mobile terminal through a wireless internet wireless network, the output end of the mobile terminal is connected with the input end of the processing feedback unit through the wireless internet wireless network, the output end of the processing feedback unit is electrically connected with the input end of the process tracking unit, and the output end of the process tracking unit is electrically connected with the exception recording unit.
Furthermore, the early warning popup window unit comprises an information sorting module and a popup window display module, the input end of the information sorting module is electrically connected with the output end of the information receiving unit, the output end of the information sorting module is electrically connected with the popup window display module, the commanding and scheduling unit comprises an alarm sending module and a telephone calling module, and the output ends of the alarm sending module and the telephone calling module are connected with the mobile terminal through a wireless internet wireless network.
Furthermore, the processing feedback unit comprises a progress feedback module and a result feedback module, the input ends of the progress feedback module and the result feedback module are connected with the mobile terminal through a wireless internet wireless network, the progress tracking unit comprises an information display module and an information updating module, the input end of the information updating module is electrically connected with the processing feedback unit, the output end of the information updating module is electrically connected with the input end of the information display module, the abnormity recording unit comprises a data storage module and a data query module, the input end of the data storage module is electrically connected with the result feedback module, and the input end of the data query module is electrically connected with the data storage module.
In one embodiment, the data conditioning module includes:
a build module to:
receiving data sent by different data acquisition equipment, and integrating the data sent by the same data acquisition equipment to be used as a group of target data;
analyzing the target data, and determining a dimension field, an analysis field and a summary field corresponding to the target data; calculating the abstract field according to a calculation function, and determining abstract parameters before modeling; determining an operation program in the description script according to the analysis field; processing the dimension field based on a cross indexing technology to determine an indexing result; constructing a data model according to the abstract parameters, the running programs and the index results; obtaining a plurality of data models based on the plurality of groups of target data;
a fusion module to:
acquiring type information of the data model, and filling the data model to a preset data matrix according to the type information; the data matrix comprises a plurality of matrix nodes, and each matrix node corresponds to one data model;
selecting a matrix node corresponding to the highest priority in the matrix nodes filled with the data model as a target matrix node based on the priority of preset type information;
calculating the distances between other matrix nodes filled with the data model and the target matrix node, sequencing the distances from small to large, and determining a data fusion sequence according to a sequencing result;
respectively fusing the target data model corresponding to the target matrix node and other data models corresponding to other matrix nodes filled with data models according to the data fusion sequence;
in the fusion process, determining the incidence relation between a target dimension field of a target data model and other dimension fields of other data models, inquiring a preset database according to the incidence relation to match the target dimension field with the other dimension fields, and realizing model fusion of the target data model and the other data models when matching is completed.
In one embodiment, the power supply module includes:
the photovoltaic power generation sub-module is used for carrying out photovoltaic power generation;
the energy storage submodule is used for storing electric energy;
the control module is used for acquiring the output voltage of the photovoltaic power generation submodule, judging whether the output voltage is greater than a preset voltage threshold value or not, calculating the saturated output current of the energy storage submodule when the output voltage is determined to be greater than the preset voltage threshold value, judging whether the output voltage is smaller than the preset current threshold value or not, indicating that the energy storage submodule fails when the saturated output current is determined to be smaller than the preset current threshold value, and generating alarm prompt information;
the calculating the saturation output current of the energy storage sub-module comprises the following steps:
wherein I is the saturated output current I 1 For the current generated by the photovoltaic sub-module, U 1 Is the output voltage, R, of the photovoltaic power generation sub-module 1 Is the series resistance, R, of the photovoltaic power generation sub-modules 2 For the saturation resistance of the photovoltaic power generation submodule, I3 is the saturation current of the photovoltaic power generation submodule, q is a preset electronic charge value, b is a preset Boltzmann constant, and a is a preset diodeCoefficient, T is the current temperature, T 1 The standard temperature is standard Kelvin centigrade degrees, l is the temperature coefficient of the current in the short circuit, T0 is the preset standard temperature, S is the area of the solar panel included by the photovoltaic power generation submodule, and W is the preset solar irradiation intensity.
The invention provides a comprehensive intelligent analysis and early warning method for an intelligent community, which comprises the following steps:
the method comprises the following steps: dividing and laying floors and outdoor security areas in the intelligent community, and installing a monitoring camera to each designated security area;
step two: the method comprises the steps that a control terminal obtains monitoring video stream data collected by all monitoring cameras in internal and external components of a security area, and an intelligent analysis system combines the obtained monitoring video stream data and all data of other jurisdictions to perform joint analysis and judge potential safety hazards and abnormal events;
step three: and the intelligent early warning system performs real-time pop-up window early warning on the judged potential safety hazards and abnormal events on the control terminal, the command center performs online checking and command scheduling, and the mobile terminal processes feedback and appoints workers to track and solve.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the comprehensive intelligent analysis and early warning system and method for the intelligent community, the monitoring camera is installed in each designated security area, the input end of the face recognition module is electrically connected with the input ends of the behavior analysis module and the AI analysis module, the practical situations that property management work is difficult to implement and potential safety hazards are difficult to prevent are solved, the potential safety hazards are effectively prevented through technical means such as high-definition monitoring, face recognition, AI and intellectualization, the community safety management level is improved, community data integration, accurate personnel management, accurate potential safety hazard recognition and real-time accurate alarm handling are achieved.
2. According to the comprehensive intelligent analysis and early warning system and method for the smart community, the output ends of the behavior analysis module and the AI analysis module are electrically connected with the crowd card module, and the crowd card module can classify various cards of nursing-age personnel, orphans, empty-nest old people, party personnel, retired military personnel, disabled people, out-of-service workers and the like, so that multi-dimensional dynamic management and analysis can be conveniently performed on population in the district.
3. The invention provides an intelligent community comprehensive intelligent analysis and early warning system and method.A big data query unit comprises a data regulation and control module and a fusion analysis module, wherein the data regulation and control module collects all data in the district, breaks through data isolated islands of all levels of unit information and realizes data fusion, the fusion analysis module carries out comprehensive analysis on community information by combining monitoring video streaming data and all data in the district, and the scientific decision is realized by relying on the data.
4. The intelligent community comprehensive intelligent analysis and early warning system and method provided by the invention have the advantages that the early warning popup unit, the command scheduling unit, the processing feedback unit and the process tracking unit are arranged in the intelligent early warning system, the real-time popup warning of abnormal conditions and key events is realized, the command center can carry out online check, command scheduling, processing feedback and tracking solution, and the online trace management and the full-process closed-loop management of the events are realized.
Drawings
FIG. 1 is a schematic block diagram of the present invention;
FIG. 2 is a schematic diagram of an intelligent analysis system module of the present invention;
FIG. 3 is a schematic diagram of a data receiving unit module according to the present invention;
FIG. 4 is a schematic diagram of an intelligent identification unit module according to the present invention;
FIG. 5 is a schematic diagram of a big data query unit module according to the present invention;
FIG. 6 is a schematic diagram of an intelligent early warning system module according to the present invention;
FIG. 7 is a schematic diagram of a command and dispatch unit module according to the present invention;
FIG. 8 is a schematic diagram of a processing feedback unit module according to the present invention;
FIG. 9 is a schematic diagram of an exception recording unit module according to the present invention.
In the figure: 1. a command center; 2. a control terminal; 21. an intelligent analysis system; 211. a data receiving unit; 2111. a network interaction module; 2112. a data integration module; 212. an intelligent identification unit; 2121. a face recognition module; 2122. a behavior analysis module; 2123. an AI analysis module; 2124. a crowd card module; 2125. an exception sorting module; 213. a big data query unit; 2131. a data regulation and control module; 2132. a fusion analysis module; 214. an information transmitting unit; 22. an intelligent early warning system; 221. an information receiving unit; 222. an early warning pop-up window unit; 2221. an information arrangement module; 2222. a pop-up window display module; 223. a command scheduling unit; 2231. an alarm sending module; 2232. a telephone call module; 224. a processing feedback unit; 2241. a progress feedback module; 2242. a result feedback module; 225. a process tracking unit; 2251. an information display module; 2252. an information updating module; 226. an abnormality recording unit; 2261. a data storage module; 2262. a data query module; 23. a power supply module; 3. a mobile terminal; 31. an APP program; 4. a peripheral component; 41. monitoring the camera; 411. a data transmission unit; 5. a wireless internet network.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, an intelligent comprehensive community analysis and early warning system comprises a command center 1, a control terminal 2, a mobile terminal 3, a peripheral component 4 and a wireless internet 5, wherein the control terminal 2 is arranged in the command center 1, the control terminal 2 is provided with a plurality of groups, an intelligent analysis system 21, an intelligent early warning system 22 and a power supply module 23 are arranged in the control terminal 2, the intelligent analysis system 21 and the intelligent early warning system 22 are in interactive connection, and the power supply module 23 is electrically connected with the intelligent analysis system 21 and the intelligent early warning system 22; the control terminal 2, the mobile terminal 3 and the peripheral component 4 are connected in a wireless network manner through a wireless internet 5; inside APP 31 that is provided with of mobile terminal 3, peripheral hardware subassembly 4 is including surveillance camera head 41, divides and lays the inside floor of wisdom community and outdoor security protection region, installs surveillance camera head 41 to each appointed security protection region, and surveillance camera head 41's inside is provided with data transmission unit 411, and data transmission unit 411 passes through wireless internet 5 wireless network connection control terminal 2.
Referring to fig. 2, the intelligent analysis system 21 is internally provided with a data receiving unit 211, an intelligent identification unit 212, a big data query unit 213 and an information sending unit 214, an input end of the data receiving unit 211 is connected to the data transmission unit 411 through the wireless internet 5 via a wireless network, the data receiving unit 211 is configured to receive monitored video stream data collected by all monitoring cameras 41 in the internal and external components 4 in the security area, an output end of the data receiving unit 211 is electrically connected to an input end of the intelligent identification unit 212, an output end of the intelligent identification unit 212 is electrically connected to an input end of the big data query unit 213, the intelligent identification unit 212 and the big data query unit 213 are configured to perform identification analysis on the monitored video stream data, an output end of the big data query unit 213 is electrically connected to the information sending unit 214, and an output end of the information sending unit 214 is electrically connected to the intelligent early warning system 22, the information sending unit 214 submits the determined potential safety hazard and abnormal event to the intelligent early warning system 22 for further processing.
Referring to fig. 3, the data receiving unit 211 includes a network interaction module 2111 and a data integration module 2112, the data receiving unit 211 is connected to the wireless internet 5 through the network interaction module 2111, an input end of the network interaction module 2111 is in data connection with the peripheral component 4 through the wireless internet 5, the network interaction module 2111 is used for connecting the control terminal 2 with the wireless internet 5, so that the control terminal 2 downloads the monitored video stream data collected by the monitoring camera 41 and sends data information to the mobile terminal 3, an output end of the network interaction module 2111 is electrically connected to the data integration module 2112, the data integration module 2112 integrates the received monitored video stream data for transmission, and an output end of the data integration module 2112 is electrically connected to the smart identification unit 212.
Referring to fig. 4, the intelligent recognition unit 212 includes a face recognition module 2121, a behavior analysis module 2122, an AI analysis module 2123, a crowd card module 2124 and an exception handling module 2125, an input end of the face recognition module 2121 is electrically connected to an output end of the data integration module 2112, the face recognition module 2121 recognizes a face in the monitored video stream data, an input end of the face recognition module 2121 is electrically connected to input ends of the behavior analysis module 2122 and the AI analysis module 2123, the behavior analysis module 2122 and the AI analysis module 2123 analyze and judge behaviors of people in the monitored video stream data, recognize potential safety hazards and abnormal events, solve real-time situations of hard property management work and hard security risk prevention, effectively prevent potential safety hazards and improve community safety management level through technical means such as high-definition monitoring, face recognition, AI and intellectualization, the data integration of community, the accurate management of personnel, the accurate discernment of potential safety hazard, the accurate processing of real-time alarm incident, crowd card module 2124 and abnormal arrangement module 2125's input is connected to behavior analysis module 2122 and AI analysis module 2123's output electricity, crowd card module 2124 can be with the age-growing personnel, the orphan, empty nest old man, the party's personnel, retired soldier, the disabled person, 50 kinds of card classifications such as business worker of going out, conveniently carry out multidimension dynamic management and analysis to the population of jurisdiction, abnormal arrangement module 2125 can arrange in order and gather potential safety hazard and abnormal incident that detect out, be convenient for the transmission, big data query unit 213 is connected to abnormal arrangement module 2125's output electricity.
Referring to fig. 5, the big data query unit 213 includes a data regulation and control module 2131 and a fusion analysis module 2132, an output end of the data regulation and control module 2131 is electrically connected to an input end of the fusion analysis module 2132, the data regulation and control module 2131 aggregates all data in the jurisdiction to break "data islands" of each level of unit information, so as to implement data fusion, an input end of the fusion analysis module 2132 is electrically connected to an output end of the anomaly management module 2125, the fusion analysis module 2132 performs comprehensive analysis on community information by combining monitoring video stream data and all data in the jurisdiction, an output end of the fusion analysis module 2132 is electrically connected to the intelligent early warning system 22, and potential safety hazards and abnormal event information obtained through fusion analysis are transmitted to the intelligent early warning system 22 for further processing, so as to fully exert the maximum value of data resources. One-key query of big data is performed, comprehensive analysis is performed on community information, and scientific decision is achieved by using data as a basis.
Referring to fig. 6, an information receiving unit 221, an early warning popup unit 222, a commanding and scheduling unit 223, a processing feedback unit 224, a process tracking unit 225 and an exception recording unit 226 are disposed inside the intelligent early warning system 22, an input end of the information receiving unit 221 is electrically connected to the intelligent analysis system 21, the information receiving unit 221 is used for receiving information of potential safety hazards and abnormal events, an output end of the information receiving unit 221 is electrically connected to an input end of the early warning popup unit 222, the received information is prompted by popup through the early warning popup unit 222, an output end of the commanding and scheduling unit 223 is connected to the mobile terminal 3 through the wireless internet 5 via a wireless network, after the popup is prompted, a worker schedules an outworker via the commanding and scheduling unit 223, performs personnel scheduling arrangement via the mobile terminal 3, an output end of the mobile terminal 3 is connected to an input end of the processing feedback unit 224 via the wireless internet 5 via a wireless network, the outsiders follow the process of handling the potential safety hazards and the abnormal events through the mobile terminal 3, the follow-up process is fed back to the processing feedback unit 224, the output end of the processing feedback unit 224 is electrically connected with the input end of the process tracking unit 225, the process and the results can be tracked and known on the control terminal 2 through the process tracking unit 225, the output end of the process tracking unit 225 is electrically connected with the abnormal recording unit 226, and the abnormal recording unit 226 records and stores the processing results of the potential safety hazards and the abnormal events which occur each time.
Referring to fig. 7, the early warning popup unit 222 includes an information sorting module 2221 and a popup display module 2222, an input end of the information sorting module 2221 is electrically connected to an output end of the information receiving unit 221, an output end of the information sorting module 2221 is electrically connected to the popup display module 2222, the information sorting module 2221 sorts the received potential safety hazards and abnormal event information, a popup window early warning is performed on a worker through the popup display module 2222, a reminding process is performed, the commanding and scheduling unit 223 includes an alarm sending module 2231 and a telephone calling module 2232, output ends of the alarm sending module 2231 and the telephone calling module 2232 are both connected to the mobile terminal 3 through a wireless internet 5 and a wireless network, the worker deploys the outworker through the alarm sending module 2231 and the telephone calling module 2232, and the outworker receives the information through the mobile terminal 3 and goes to process.
Referring to fig. 8, the processing feedback unit 224 includes a progress feedback module 2241 and a result feedback module 2242, the input terminals of the progress feedback module 2241 and the result feedback module 2242 are both connected to the mobile terminal 3 through the wireless internet 5 via a wireless network, the processing progress of the safety hazard and the abnormal event can be fed back through the settings of the progress feedback module 2241 and the result feedback module 2242, the process tracking unit 225 includes an information display module 2251 and an information update module 2252, the input terminal of the information update module 2252 is electrically connected to the processing feedback unit 224, the output terminal of the information update module 2252 is electrically connected to the input terminal of the information display module 2251, the information update module 2252 updates the processing progress of the processing feedback unit 224 to the information display module 2251, so that a worker can know the progress and result of the event processing by an outsider on the control terminal 2 through the information display module 2251 in real time, abnormal conditions and key events are subjected to real-time popup early warning, the command center 1 can perform online checking, command scheduling, processing feedback and tracking solution, and online trace management and full-process closed-loop management of the events are realized.
Referring to fig. 9, the exception recording unit 226 includes a data storage module 2261 and a data query module 2262, an input end of the data storage module 2261 is electrically connected to the result feedback module 2242, the data storage module 2261 is configured to store the processing results of the potential safety hazard and the exception event fed back by the result feedback module 2242, an input end of the data query module 2262 is electrically connected to the data storage module 2261, and the data query module 2262 can query information such as the occurrence time and the processing results of the past event, so as to facilitate subsequent investigation or statistics.
In one embodiment, the data conditioning module includes:
a build module to:
receiving data sent by different data acquisition equipment, and integrating the data sent by the same data acquisition equipment to be used as a group of target data;
analyzing the target data, and determining a dimension field, an analysis field and a summary field corresponding to the target data; calculating the abstract field according to a calculation function, and determining abstract parameters before modeling; determining an operating program in the description script according to the analysis field; processing the dimension field based on a cross indexing technology to determine an indexing result; constructing a data model according to the abstract parameters, the running programs and the index results; obtaining a plurality of data models based on the plurality of groups of target data;
a fusion module to:
acquiring type information of the data model, and filling the data model to a preset data matrix according to the type information; the data matrix comprises a plurality of matrix nodes, and each matrix node corresponds to one data model;
selecting a matrix node corresponding to the highest priority in the matrix nodes filled with the data model as a target matrix node based on the priority of preset type information;
calculating the distances between other matrix nodes filled with the data model and the target matrix node, sequencing the distances from small to large, and determining a data fusion sequence according to a sequencing result;
respectively fusing the target data model corresponding to the target matrix node and other data models corresponding to other matrix nodes filled with data models according to the data fusion sequence;
in the fusion process, determining the incidence relation between a target dimension field of a target data model and other dimension fields of other data models, inquiring a preset database according to the incidence relation to match the target dimension field with the other dimension fields, and realizing model fusion of the target data model and the other data models when matching is completed.
The working principle of the technical scheme is as follows: the data acquisition device may be a terminal that acquires data. Integrating data sent by the same data acquisition equipment to be used as a group of target data; the data of the same data acquisition equipment can be classified. The dimension field is a field used for analysis. The resolution field is a field for describing the dimension field, that is, includes data outside the dimension. The summary field is a field used for making mathematical statistics. Calculating and modifying some abstract fields by a calculation function before modeling, and determining an operation program in the description script according to the analysis fields; and processing the dimension field based on a cross indexing technology, determining an indexing result, accurately constructing a data model, and realizing data integration. A fusion module to: acquiring type information of the data model, and filling the data model to a preset data matrix according to the type information; the data matrix comprises a plurality of matrix nodes, and each matrix node corresponds to one data model; selecting a matrix node corresponding to the highest priority in the matrix nodes filled with the data model as a target matrix node based on the priority of preset type information; calculating the distances between other matrix nodes filled with the data model and the target matrix node, sequencing the distances from small to large, and determining a data fusion sequence according to a sequencing result; respectively fusing the target data model corresponding to the target matrix node and other data models corresponding to other matrix nodes filled with data models according to the data fusion sequence; in the fusion process, determining the incidence relation between a target dimension field of a target data model and other dimension fields of other data models, inquiring a preset database according to the incidence relation to match the target dimension field with the other dimension fields, and realizing model fusion of the target data model and the other data models when matching is completed. The preset database is a comparison table comprising the association relation and the matching strategy.
The beneficial effects of the above technical scheme are that: the data sent by different data acquisition devices are integrated, and a data model is respectively established for the data of each data acquisition device. In the process of establishing the data model, all dimensions are associated in a recursion mode, cross indexes are quickly established among all dimensions, the management efficiency of data is improved, quick and efficient query and analysis are facilitated in the subsequent data fusion process, and meanwhile, the occupied resources are greatly reduced. The data models are arranged on the preset data matrix according to types, so that the data models of different types can be fused, and the fusion rate can be improved conveniently. Based on the calculation of the distances between other matrix nodes filled with the data model and the target matrix node, sequencing the distances from small to large, and determining a data fusion sequence according to a sequencing result; and sequentially fusing according to the data fusion sequence, so that the accuracy of the fused data in time or logic is ensured. And determining the incidence relation between the target dimension field of the target data model and other dimension fields of other data models in the fusion process, inquiring a preset database according to the incidence relation to match the target dimension field with the other dimension fields, and realizing model fusion of the target data model and the other data models when matching is finished, thereby improving the efficiency and the accuracy of data fusion.
In one embodiment, the power supply module includes:
the photovoltaic power generation sub-module is used for carrying out photovoltaic power generation;
the energy storage submodule is used for storing electric energy;
the control module is used for acquiring the output voltage of the photovoltaic power generation submodule, judging whether the output voltage is greater than a preset voltage threshold value or not, calculating the saturated output current of the energy storage submodule when the output voltage is determined to be greater than the preset voltage threshold value, judging whether the output voltage is smaller than the preset current threshold value or not, indicating that the energy storage submodule fails when the saturated output current is determined to be smaller than the preset current threshold value, and generating alarm prompt information;
the calculating the saturation output current of the energy storage submodule comprises the following steps:
wherein I is the saturated output current I 1 For the current generated by the photovoltaic sub-modules, U 1 For the output of photovoltaic sub-modulesVoltage output, R 1 Is the series resistance of the photovoltaic power generation submodule, R2 is the saturation resistance of the photovoltaic power generation submodule, I3 is the saturation current of the photovoltaic power generation submodule, q is the preset electronic charge value, b is the preset Boltzmann constant, a is the preset diode coefficient, T is the current temperature 1 The standard temperature is standard Kelvin degrees Celsius, l is a temperature coefficient of current at short circuit, T0 is a preset standard temperature, S is an area of a solar panel included in the photovoltaic power generation sub-module, and W is a preset solar irradiation intensity.
The working principle and the beneficial effects of the technical scheme are as follows: when the output voltage of the photovoltaic power generation sub-module is determined to be larger than the preset voltage threshold value, the photovoltaic power generation sub-module is indicated to normally operate, and the power generation requirement is met. When the saturated output current is determined to be smaller than a preset current threshold value, indicating that the energy storage sub-module has a fault, and generating alarm prompt information; the energy storage submodule is convenient to maintain or replace in time, and normal operation of the energy storage submodule is guaranteed. In the above formula, q is preset to 1.6 x 10- 19 C, b is preset to 1.38 x 10- 23 J/K, a is preset to 1.3, T1 is 273K, T0 is 25 degrees, W is preset to 10 3 W/m 2 . Based on the formula, the saturated output current of the energy storage submodule can be calculated conveniently and accurately, the accuracy of judging the magnitude of the preset current threshold is improved, whether the energy storage submodule breaks down or not can be judged conveniently and accurately, and the reliability of system control is improved.
A comprehensive intelligent analysis and early warning method for an intelligent community comprises the following steps:
the method comprises the following steps: dividing and arranging floors and outdoor security areas in the intelligent community, and installing a monitoring camera 41 in each designated security area;
step two: the control terminal 2 acquires monitoring video stream data acquired by all monitoring cameras 41 in the peripheral components 4 in the security area, and the intelligent analysis system 21 combines the acquired monitoring video stream data and all data of other jurisdictions to perform joint analysis to judge potential safety hazards and abnormal events;
step three: the intelligent early warning system 22 performs real-time pop window early warning on the judged potential safety hazard and abnormal events on the control terminal 2, the command center 1 performs online checking and command scheduling, and the mobile terminal 3 processes feedback and designates workers to track and solve.
To sum up, the intelligent community comprehensive intelligent analysis and early warning system and method solve the actual situation that the property management work is difficult to implement and the potential safety hazard is difficult to prevent, effectively prevent the potential safety hazard, improve the community safety management level, integrate community data, accurately manage personnel, accurately identify the potential safety hazard and accurately dispose real-time alarm events by the technical means of high-definition monitoring, face recognition, AI, intellectualization and the like, the crowd card module 2124 can classify more than 50 cards of nurturing age personnel, orphaneds, empty nesters, party personnel, retired military personnel, disabled persons, outworkers and the like, thereby facilitating the multi-dimensional dynamic management and analysis of the population in the jurisdiction, the large data query unit 213 gathers all data in the jurisdiction, breaks through data islands of each level of unit information, realizes data fusion, the fusion analysis module 2132 combines the monitoring video stream data and all data in the jurisdiction to carry out comprehensive analysis on the information, based on data, scientific decision making, real-time popup early warning of abnormal conditions and key events are realized, the command center 1 can perform online checking, command scheduling, processing feedback and tracking solution, and online trace management and full-process closed-loop management of events are realized.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (10)
1. The utility model provides an intelligent analysis and early warning system are synthesized to wisdom community, includes command center (1), control terminal (2), mobile terminal (3), peripheral hardware subassembly (4) and wireless internet (5), its characterized in that: the intelligent early warning system is characterized in that a control terminal (2) is arranged in the command center (1), a plurality of groups of control terminals (2) are arranged in the control terminal (2), an intelligent analysis system (21), an intelligent early warning system (22) and a power supply module (23) are arranged in the control terminal (2), the intelligent analysis system (21) and the intelligent early warning system (22) are connected in an interactive mode, and the power supply module (23) is electrically connected with the intelligent analysis system (21) and the intelligent early warning system (22);
the control terminal (2), the mobile terminal (3) and the peripheral component (4) are in wireless network connection through a wireless internet (5);
the mobile terminal (3) is internally provided with an APP (31), the peripheral component (4) comprises a monitoring camera (41), a data transmission unit (411) is arranged inside the monitoring camera (41), and the data transmission unit (411) is connected with the control terminal (2) through a wireless internet (5) and a wireless network.
2. The intelligent comprehensive community analysis and early warning system of claim 1, wherein: the intelligent early warning system comprises an intelligent analysis system (21), wherein a data receiving unit (211) is arranged inside the intelligent analysis system (21), an intelligent identification unit (212), a big data inquiry unit (213) and an information sending unit (214), the input end of the data receiving unit (211) is connected with a data transmission unit (411) through a wireless internet (5) and a wireless network, the input end of the intelligent identification unit (212) is electrically connected with the output end of the data receiving unit (211), the input end of the big data inquiry unit (213) is electrically connected with the output end of the intelligent identification unit (212), the information sending unit (214) is electrically connected with the output end of the big data inquiry unit (213), and the intelligent early warning system (22) is electrically connected with the output end of the information sending unit (214).
3. The intelligent comprehensive community analysis and early warning system of claim 2, wherein: the data receiving unit (211) comprises a network interaction module (2111) and a data integration module (2112), the data receiving unit (211) is connected with a wireless internet (5) through the network interaction module (2111), the input end of the network interaction module (2111) is in data connection with a peripheral component (4) through the wireless internet (5), the output end of the network interaction module (2111) is electrically connected with the data integration module (2112), and the output end of the data integration module (2112) is electrically connected with the intelligent identification unit (212).
4. The intelligent comprehensive community analysis and early warning system as claimed in claim 3, wherein: the intelligent identification unit (212) comprises a face identification module (2121), a behavior analysis module (2122), an AI analysis module (2123), a crowd card module (2124) and an exception sorting module (2125), wherein the input end of the face identification module (2121) is electrically connected with the output end of the data integration module (2112), the input end of the face identification module (2121) is electrically connected with the input ends of the behavior analysis module (2122) and the AI analysis module (2123), the output ends of the behavior analysis module (2122) and the AI analysis module (2123) are electrically connected with the input ends of the crowd card module (2124) and the exception sorting module (2125), the output end of the exception sorting module (2125) is electrically connected with a big data query unit (213), the big data query unit (213) comprises a data regulation and control module (2131) and a fusion analysis module (2132), the output end of the data regulation and control module (2131) is electrically connected with the input end of the fusion analysis module (2132), the input end of the fusion analysis module (2132) is electrically connected with the output end of the abnormity sorting module (2125), and the output end of the fusion analysis module (2132) is electrically connected with the intelligent early warning system (22).
5. The intelligent comprehensive community analysis and early warning system as claimed in claim 1, wherein: an information receiving unit (221), an early warning popup unit (222), a command scheduling unit (223), a processing feedback unit (224), a process tracking unit (225) and an exception recording unit (226) are arranged in the intelligent early warning system (22), the input end of the information receiving unit (221) is electrically connected with the intelligent analysis system (21), the output end of the information receiving unit (221) is electrically connected with the input end of the early warning popup window unit (222), the output end of the commanding and scheduling unit (223) is connected with the mobile terminal (3) through the wireless internet (5) in a wireless network manner, the output end of the mobile terminal (3) is connected with the input end of the processing feedback unit (224) through the wireless internet (5) in a wireless network manner, the output end of the processing feedback unit (224) is electrically connected with the input end of the process tracking unit (225), and the output end of the process tracking unit (225) is electrically connected with the abnormity recording unit (226).
6. The intelligent comprehensive community analysis and early warning system of claim 5, wherein: the early warning popup window unit (222) comprises an information sorting module (2221) and a popup window display module (2222), the input end of the information sorting module (2221) is electrically connected with the output end of an information receiving unit (221), the output end of the information sorting module (2221) is electrically connected with the popup window display module (2222), a commanding and dispatching unit (223) comprises an alarm sending module (2231) and a telephone calling module (2232), and the output ends of the alarm sending module (2231) and the telephone calling module (2232) are connected with the mobile terminal (3) through a wireless internet (5) and a wireless network.
7. The intelligent comprehensive community analysis and early warning system of claim 6, wherein: the processing feedback unit (224) comprises a progress feedback module (2241) and a result feedback module (2242), the input ends of the progress feedback module (2241) and the result feedback module (2242) are connected with the mobile terminal (3) through a wireless internet (5) wireless network, the progress tracking unit (225) comprises an information display module (2251) and an information updating module (2252), the input end of the information updating module (2252) is electrically connected with the processing feedback unit (224), the output end of the information updating module (2252) is electrically connected with the input end of the information display module (2251), the abnormality recording unit (226) comprises a data storage module (2261) and a data query module (2262), wherein the input end of the data storage module (2261) is electrically connected with the result feedback module (2242), and the input end of the data query module (2262) is electrically connected with the data storage module (2261).
8. The intelligent comprehensive community analysis and early warning system of claim 4, wherein: the data conditioning module (2131) comprising:
a build module to:
receiving data sent by different data acquisition equipment, and integrating the data sent by the same data acquisition equipment to be used as a group of target data;
analyzing the target data, and determining a dimension field, an analysis field and a summary field corresponding to the target data; calculating the abstract field according to a calculation function, and determining abstract parameters before modeling; determining an operation program in the description script according to the analysis field; processing the dimension field based on a cross indexing technology to determine an indexing result; constructing a data model according to the abstract parameters, the running programs and the index results; obtaining a plurality of data models based on the plurality of groups of target data;
a fusion module to:
acquiring type information of the data model, and filling the data model to a preset data matrix according to the type information; the data matrix comprises a plurality of matrix nodes, and each matrix node corresponds to one data model;
selecting a matrix node corresponding to the highest priority in the matrix nodes filled with the data model as a target matrix node based on the priority of preset type information;
calculating the distances between other matrix nodes filled with the data model and the target matrix node, sequencing the distances from small to large, and determining a data fusion sequence according to a sequencing result;
respectively fusing the target data model corresponding to the target matrix node and other data models corresponding to other matrix nodes filled with data models according to the data fusion sequence;
in the fusion process, determining the incidence relation between a target dimension field of a target data model and other dimension fields of other data models, inquiring a preset database according to the incidence relation to match the target dimension field with the other dimension fields, and realizing model fusion of the target data model and the other data models when matching is completed.
9. The intelligent comprehensive community analysis and early warning system of claim 1, wherein: the power supply module (23) comprises:
the photovoltaic power generation sub-module is used for carrying out photovoltaic power generation;
the energy storage submodule is used for storing electric energy;
the control module is used for acquiring the output voltage of the photovoltaic power generation submodule, judging whether the output voltage is greater than a preset voltage threshold value or not, calculating the saturated output current of the energy storage submodule when the output voltage is determined to be greater than the preset voltage threshold value, judging whether the output voltage is smaller than the preset current threshold value or not, indicating that the energy storage submodule fails when the saturated output current is determined to be smaller than the preset current threshold value, and generating alarm prompt information;
the calculating the saturation output current of the energy storage sub-module comprises the following steps:
wherein I is the saturated output current I 1 For the current generated by the photovoltaic sub-module, U 1 Is the output voltage, R, of the photovoltaic power generation sub-module 1 Is the series resistance, R, of the photovoltaic power generation sub-modules 2 For saturation resistance of photovoltaic power generation sub-modules, I 3 For the saturation current of the photovoltaic power generation submodule, q is a preset electronic charge value, b is a preset Boltzmann constant, a is a preset diode coefficient, T is the current temperature, T is the current voltage, and 1 is the standard Kelvin DEG C, l is the temperature coefficient of the current at short circuit, T 0 The standard temperature is preset, S is the area of a solar panel included by the photovoltaic power generation submodule, and W is the preset solar irradiation intensity.
10. An implementation method of the intelligent community comprehensive intelligent analysis and early warning system according to any one of claims 1 to 9, characterized in that: the method comprises the following steps:
the method comprises the following steps: dividing and arranging floors and outdoor security areas in the intelligent community, and installing a monitoring camera (41) to each designated security area;
step two: the method comprises the following steps that a control terminal (2) acquires monitoring video stream data collected by all monitoring cameras (41) in internal and external components (4) in a security area, and an intelligent analysis system (21) combines the acquired monitoring video stream data and all data of other jurisdictions to perform joint analysis and judge potential safety hazards and abnormal events;
step three: the intelligent early warning system (22) performs real-time popup early warning on the judged potential safety hazards and abnormal events on the control terminal (2), the command center (1) performs online checking and command scheduling, and the mobile terminal (3) processes feedback and appoints a worker to track and solve the problems.
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