CN116167614B - Be applied to future community integrated data intelligent analysis system - Google Patents
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Abstract
The invention relates to the technical field of information, and discloses an intelligent analysis system applied to future community comprehensive data, which comprises the following components: the community client is used for recording and collecting data and interacting the recorded and collected data with the cloud server; the cloud server is used for acquiring data by contacting with the community client, analyzing the acquired data and giving an analysis result of the community client; the vehicle-mounted client is in communication with the community client and the cloud server and acquires information fed back by the cloud server. The method is applied to an intelligent analysis system for comprehensive data of a future community, the risk level of the fire disaster of the community can be reasonably predicted by comprehensively analyzing a plurality of items of data of the community, and the predicted accuracy of the risk level of the fire disaster of the community can be further ensured by acquiring influence factors; by combining the road layout in the community, reasonable planning is made, and the situation that the private car parks at will to obstruct the road, so that the rescue car cannot rescue is avoided.
Description
Technical Field
The invention relates to the technical field of information, in particular to an intelligent analysis system applied to future community comprehensive data.
Background
Science and technology changes life. Along with the progress of scientific technology, the daily life of people is more and more convenient, and meanwhile, the development of new generation information technology plays a great role in the fields of enterprise management, daily production life and the like, and the future production life is also scientific, wherein the future community concept is to comprehensively manage various data of the community by utilizing the new generation information technology, and finally the daily life of community people is served.
Aiming at the current community management, the problems exist, and with the increase of the age of the community, the negligence of the community management can lead to the increase of risk factors such as a community fire disaster and the like, and the condition that vehicles are parked and placed in disorder exists in the community, so that the condition that the fire disaster is irrecoverable is the best of all.
For this, comprehensive data of communities are comprehensively managed by using a new generation information technology, and scientific management and control are necessary to finally serve community management and daily life of community people.
Disclosure of Invention
The invention provides an intelligent analysis system applied to future community comprehensive data, which is used for promoting to solve the problems of negligence of community management, increased fire risk and irrecoverable fire rescue in the background technology; thereby promoting scientific and reasonable management and control of the comprehensive data of the future communities, and finally serving community management and daily life of community people.
The invention provides the following technical scheme: an intelligent analysis system for future community integrated data, comprising:
the community client is used for recording and collecting data and interacting the recorded and collected data with the cloud server;
the cloud server is used for acquiring data by contacting with the community client, analyzing the acquired data and giving an analysis result of the community client;
the vehicle-mounted client is in communication with the community client and the cloud server and acquires information fed back by the cloud server.
As an alternative scheme of the invention, which is applied to the future community comprehensive data intelligent analysis system, the community client comprises a general data module, a construction data module, a data acquisition module and an alarm module;
the cloud server comprises a data calling module, a data analysis module and a pushing module;
the vehicle-mounted client comprises a data sending module and a receiving indication module.
As an alternative scheme of the intelligent analysis system for the comprehensive data of the future communities, the general data module comprises various acquired data of a data acquisition module and rescue vehicle size information when the resident ages, the decoration time and the history of fire disaster occur;
the construction data module comprises building height, floor height, community greening layout and community road layout;
the data acquisition module is used for acquiring the natural gas concentration of a resident, the temperature of a building wall body and the disconnection times of the leakage protector of the resident, and transmitting acquired data to the data analysis module;
and the alarm module is used for receiving the data sent by the cloud server and sending out an alarm.
As an alternative scheme of the invention applied to the future community comprehensive data intelligent analysis system, the data calling module is used for calling the required data stored in the community client and sending the called data to the data analysis module;
the data analysis module comprises a first operation layer, a second operation layer and an influence operation layer;
the pushing module is used for pushing the data result obtained by the operation of the data analysis module.
As an alternative scheme of the intelligent analysis system for the future community comprehensive data, the data transmission module is used for transmitting basic size information of a vehicle to the cloud server;
the receiving indication module is used for receiving indication information sent by the cloud server.
As an alternative scheme of the intelligent analysis system for the future community comprehensive data, the first operation layer receives the resident age sent by the data acquisition module, all acquired data of the data acquisition module when a fire disaster occurs historically, the resident natural gas concentration, the building height, the floor height and the building wall temperature, and the first risk level of the resident is obtained through the neural network learning system.
As an alternative scheme of the intelligent analysis system for the future community comprehensive data, the influence operation layer receives the decoration time and the disconnection times of the household electric leakage protector sent by the data acquisition module as influence factors, and simultaneously obtains the operation result of the first operation layer, and obtains the second risk level of the household through the neural network learning system;
when the second risk level of the resident is normal, the resident is ignored; when the second risk level of the resident is high risk, the pushing module pushes the result to the alarm module and gives an alarm, the attention of staff is drawn, and meanwhile, the pushing module pushes the result to the second operation layer.
As an alternative scheme of the intelligent analysis system for the future community comprehensive data, the second operation layer receives the rescue vehicle size information, the community greening layout and the community road layout sent by the data acquisition module, and obtains the running track of the rescue vehicle through the neural network learning system.
As an alternative scheme of the intelligent analysis system for the future community comprehensive data, the second operation layer also receives basic size information of vehicles to be parked in the community, which is sent by the sending module of the vehicle-mounted client, acquires surrounding vehicle parking conditions through the vehicle-mounted sensor, analyzes whether the vehicles are parked on the running track of the rescue vehicle, and sends a prompt for prohibiting parking of the vehicles to the receiving indication module of the vehicle-mounted client if the vehicles to be parked in the community are on the running track of the rescue vehicle, otherwise ignores the prompt.
As an alternative scheme of the intelligent analysis system for the future community comprehensive data, the second operation layer also receives the data sent by the pushing module when the second risk level of the resident is high risk, and at the moment, the running track of the rescue vehicle is adjusted to coincide with the community road layout.
The invention has the following beneficial effects:
1. the method is applied to an intelligent analysis system for comprehensive data of communities in the future, the risk level of the fire disaster of the communities can be reasonably predicted by comprehensively analyzing multiple data of the communities, and in addition, the accuracy of the predicted risk level of the fire disaster of the communities can be further ensured by acquiring influence factors.
2. The intelligent analysis system is applied to a future community comprehensive data intelligent analysis system, and can judge whether the household has the possibility of aging and short circuit of the electric wires or not by acquiring decoration time, building wall temperature and disconnection times of the household leakage protector, and reasonably plan the environment by combining road layout in the community, so that the situation that the rescue vehicle cannot rescue due to the fact that the private vehicle parks at will to obstruct the road in emergency is avoided.
3. The intelligent analysis system is applied to an intelligent analysis system for comprehensive community data in the future, and gives a prompt to a community owner of whether a vehicle can be parked or not by comprehensively analyzing the community data, so that the problem that the parking vehicle is misjudged and the approach of a rescue vehicle is influenced due to the fact that the size of the rescue vehicle is not known is avoided.
4. The method is applied to an intelligent analysis system for future community comprehensive data, and by predicting the community risk level, when the risk level is not high, the rescue vehicle can be ensured to pass smoothly according to the road layout condition of the community; and when the risk level is high, vehicles are forbidden to be parked on the roads of the community road layout, so that the rescue vehicles can enter the road smoothly for rescue.
Drawings
FIG. 1 is a flow chart of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Science and technology changes life. Along with the progress of scientific technology, the daily life of people is more and more convenient, and meanwhile, the development of new generation information technology plays a great role in the fields of enterprise management, daily production life and the like, and the future production life is also scientific, wherein the future community concept is to comprehensively manage various data of the community by utilizing the new generation information technology, and finally the daily life of community people is served.
Aiming at the current community management, the problems exist, and with the increase of the age of the community, the negligence of the community management can lead to the increase of risk factors such as a community fire disaster and the like, and the condition that vehicles are parked and placed in disorder exists in the community, so that the condition that the fire disaster is irrecoverable is the best of all.
For this, comprehensive data of communities are comprehensively managed by using a new generation information technology, and scientific management and control are necessary to finally serve community management and daily life of community people.
An intelligent analysis system for future community integrated data, comprising:
the community client is used for recording and collecting data and interacting the recorded and collected data with the cloud server;
the cloud server is used for acquiring data by contacting with the community client, analyzing the acquired data and giving an analysis result of the community client;
the vehicle-mounted client is in communication with the community client and the cloud server and acquires information fed back by the cloud server.
Please refer to fig. 1; the community client comprises a general data module, a construction data module, a data acquisition module and an alarm module;
the cloud server comprises a data calling module, a data analysis module and a pushing module;
the vehicle-mounted client comprises a data sending module and a receiving indication module.
The vehicle-mounted client-side data transmission module mainly acquires the vehicle distance and the vehicle parking condition around the vehicle by means of the radar sensor of the vehicle, and transmits the acquired data to the cloud server, so that the cloud server can conveniently judge whether the vehicle parking can influence the smooth passing of the rescue vehicle according to the data.
The general data module comprises various acquired data of a data acquisition module when the resident ages, the decoration time and the historic fire disaster occur and rescue vehicle size information; most of the fires are caused by aging of wires, and by recording the finishing time and taking the finishing time as one of prediction factors, the risk level of the fires can be predicted by reasonably considering the finishing time.
The construction data module comprises building height, floor height, community greening layout and community road layout; the method comprises the steps of obtaining a community road layout to better plan parking of vehicles, and avoiding the situation that rescue vehicles cannot pass due to disordered parking of the vehicles.
In this embodiment, the parking information of the vehicle is obtained through the radar sensor in the vehicle-mounted client, the vehicle-mounted client and the cloud server, various data collected by the community-mounted client data collection module and the obtained influence factors are connected, the risk level of fire is analyzed and predicted, and the accuracy of intelligent prediction is improved.
Example 2
The embodiment is an explanation based on embodiment 1, and referring to fig. 1 specifically, the community client includes a general data module, a construction data module, a data acquisition module, and an alarm module;
the cloud server comprises a data calling module, a data analysis module and a pushing module;
the vehicle-mounted client comprises a data sending module and a receiving indication module.
Many private car owners do not know the normal size of rescue vehicles such as ambulances and fire-fighting vehicles, particularly for fire-fighting vehicles, under the condition that the size of the fire-fighting vehicles is unclear, whether the reserved space can be used for the fire-fighting vehicles or not is difficult to accurately judge, but the embodiment can simulate the driving track of the rescue vehicles by reasonably analyzing various data of communities and loading the size information of the rescue vehicles, then judge whether the parking of the vehicles can influence the driving of the rescue vehicles according to the driving track of the rescue vehicles, and send a warning for prohibiting the parking of the vehicles to the car owners when the parking of the vehicles can influence the driving of the rescue vehicles, so that the rescue vehicles can be guaranteed to have enough driving space to arrive at a fire scene.
The vehicle-mounted client-side data transmission module mainly acquires the vehicle distance and the vehicle parking condition around the vehicle by means of the radar sensor of the vehicle, and transmits the acquired data to the cloud server, so that the cloud server can conveniently judge whether the vehicle parking can influence the smooth passing of the rescue vehicle according to the data.
In the embodiment, the data of the vehicle-mounted client are used for judging, reasonable analysis of various data of a community and calculation of the size information of the rescue vehicle are further used for simulating the form track of the rescue vehicle, so that the rescue vehicle is guaranteed to have enough running space to ensure fire rescue, the fire disaster plan work is well done, emergency is conveniently and assuredly handled, road layout in the community is combined, reasonable planning is made, and the situation that the rescue vehicle cannot rescue due to the fact that a private vehicle parks at will to obstruct the road in the emergency is avoided.
Example 3
The embodiment aims to facilitate solving the problem of monitoring and protecting in real time while data acquisition is carried out on households in communities. The embodiment is an explanation based on embodiment 1, referring to fig. 1 specifically, the general data module includes the resident age, the decoration time, various collected data of the data collecting module when the fire disaster occurs in history, and the rescue vehicle size information; most of the fires are caused by aging of wires, and by recording the finishing time and taking the finishing time as one of prediction factors, the risk level of the fires can be predicted by reasonably considering the finishing time.
The data acquisition is characterized in that AI cameras are installed and detected in a ground warehouse, a community fire-fighting channel and an indoor escape safety channel, and are monitored, and once the conditions of occupation and blockage occur, the data are processed in time through the property;
the data acquisition module is used for acquiring the natural gas concentration of a resident, the temperature of a building wall body and the disconnection times of the leakage protector of the resident, and transmitting acquired data to the data analysis module;
the concentration of natural gas of households can be monitored by adopting a gas leakage alarm device installed by the existing gas company; the temperature of the wall of the building is monitored by adopting the whole building as a plane coordinate system and arranging a plurality of temperature sensors at different positions of the building, and the whole building is regarded as the plane coordinate system, and then the building height and the building height are combined, so that the position of the building with abnormal temperature can be well determined, the building can be conveniently and accurately found, and residents are informed of the fact that the building is prevented.
In this embodiment, the wall temperature is monitored, and as one of real-time factors for judging the risk level, the risk level can be predicted better.
The gas leakage collection device in the data collection module, because the air flow rate therein is generally fast to expel heat, can blow away any smoke, resulting in an early smoke concentration that may not be sufficient to trigger a wall-mounted smoke detector. Still other data centers use air filters in their HVAC systems that also filter out some smoke particles, so it is an option to install smoke detectors in multiple locations, including ceilings, walls, floors, etc., and to install smoke detectors in walls of each floor or compartment for detection.
In the embodiment, the natural gas concentration of the user and the building wall are monitored and collected in real time through the temperature sensor and the concentration sensor, so that the floor position with abnormal temperature can be prevented and determined in real time, households are informed of processing, and the safety performance of the households is improved.
The method comprises the steps of acquiring house decoration time, building wall temperature and the disconnection times of a house leakage protector, judging whether the house has the possibility of aging and short circuit of wires, and reasonably planning by combining road layout in communities, so that the situation that a rescue vehicle cannot rescue due to the fact that a private vehicle parks at will to obstruct a road in an emergency is avoided.
Example 4
The embodiment is explained based on embodiment 1, and in particular, please refer to fig. 1, the alarm module is configured to receive data sent by the cloud server and send an alarm.
The data calling module is used for calling the required data stored in the community client and sending the called data to the data analysis module;
the data analysis module comprises a first operation layer, a second operation layer and an influence operation layer;
the pushing module is used for pushing the data result obtained by the operation of the data analysis module.
The data transmission module is used for transmitting basic size information of the vehicle to the cloud server;
the receiving indication module is used for receiving indication information sent by the cloud server.
The first operation layer receives the resident age sent by the data calling module, all acquired data of the data acquisition module when a fire disaster occurs in history, the natural gas concentration of the resident, the building height, the floor height and the building wall temperature, and the first risk level of the resident is obtained through the neural network learning system.
The influence operation layer receives the decoration time and the disconnection times of the household electric leakage protector sent by the data calling module as influence factors, and simultaneously obtains an operation result of the first operation layer, and a second risk level of the household is obtained through the neural network learning system;
when the second risk level of the resident is normal, the resident is ignored; when the second risk level of the resident is high risk, the pushing module pushes the result to the alarm module and gives an alarm, the attention of staff is drawn, and meanwhile, the pushing module pushes the result to the second operation layer.
The method comprises the steps of obtaining a second risk level of a resident, wherein reasonable analysis is carried out by adopting a mode of combining static data and dynamic data, especially, the dynamic data is used as an important influence factor, the operation influence proportion of the dynamic data on the second risk level of the resident is larger, and the obtained second risk level of the resident is more reasonable.
The second operation layer receives the rescue vehicle size information, the community greening layout and the community road layout sent by the data calling module, and obtains the running track of the rescue vehicle through the neural network learning system.
The second operation layer also receives basic size information of vehicles to be parked in the community, which is sent by the sending module of the vehicle-mounted client, acquires parking conditions of surrounding vehicles through the vehicle-mounted sensor, analyzes whether the vehicles are parked on the running track of the rescue vehicle, and sends a prompt of prohibiting parking of the vehicles to the receiving indication module of the vehicle-mounted client if the vehicles to be parked in the community are on the running track of the rescue vehicle, otherwise ignores the prompt.
The second operation layer also receives data sent by the pushing module when the second risk level of the resident is high risk, and at the moment, the running track of the rescue vehicle is adjusted to be coincident with the community road layout.
When the second risk level of the resident is high, stopping is forbidden on road layout of all communities, and when the second risk level of the resident is not high, emergency transmission is guaranteed by reserving a rescue vehicle driving space, various data of the communities are reasonably analyzed, and the resident is guided to stop reasonably and normally.
Users in communities perform unscheduled investigation on potential safety hazards, check on fire fighting pipelines, water supply, fire hydrants, fire extinguishers and escape equipment, perform detailed registration, do real-time plan work when risk levels are calculated, send out alarms through an alarm module, pay attention to staff and give out whether vehicles stop on rescue operation tracks, patrol on duty and logistics support staff are required to be established in time, and perform timely plan processing, so that the condition of avoiding disorder in the fire scene is reduced.
In the embodiment, the influence factors are calculated and analyzed through a first operation layer, a second operation layer and an influence operation layer in the data analysis module, a first risk level and a second risk level are obtained through the neural network learning system and judged, when the high risk is judged, a result is pushed to the alarm module through the pushing module and an alarm is sent out so as to remind residents, vehicle-mounted clients and three parties of acquiring information, and long-term running track adjustment and planning are prepared;
through predicting the community risk level, when the risk level is not high, the rescue vehicle can be ensured to pass smoothly according to the road layout condition of the community; when the risk level is high, vehicles are forbidden to be parked on the roads of the community road layout, so that rescue vehicles can enter the road smoothly for rescue, peripheral order is convenient to maintain, and rescue and evacuation work of fire accidents are performed.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the scope of the invention.
Claims (3)
1. An intelligent analysis system for future community integrated data, comprising:
the community client is used for recording and collecting data and interacting the recorded and collected data with the cloud server;
the cloud server is used for acquiring data by contacting with the community client, analyzing the acquired data and giving an analysis result of the community client;
the vehicle-mounted client is in communication with the community client and the cloud server and acquires information fed back by the cloud server;
the community client comprises a general data module, a construction data module, a data acquisition module and an alarm module;
the general data module comprises rescue vehicle size information; the construction data module comprises a community greening layout and a community road layout; the cloud server comprises a data calling module, a data analysis module and a pushing module;
the vehicle-mounted client comprises a data sending module and a receiving indication module;
the data analysis module comprises a first operation layer, a second operation layer and an influence operation layer;
the first operation layer receives the resident age sent by the data calling module, the acquired data of the data acquisition module when a fire disaster occurs in history, the natural gas concentration of the resident, the building height, the floor height and the building wall temperature, and the first risk level of the resident is obtained through the neural network learning system;
the second operation layer receives the rescue vehicle size information, the community greening layout and the community road layout sent by the data retrieval module, and obtains the running track of the rescue vehicle through the neural network learning system;
the second operation layer also receives basic size information of vehicles to be parked in the community, which is sent by the sending module of the vehicle-mounted client, acquires parking conditions of surrounding vehicles through the vehicle-mounted sensor, analyzes whether the vehicles are parked on the running track of the rescue vehicle, and sends a prompt of prohibiting parking of the vehicles to the receiving indication module of the vehicle-mounted client if the vehicles to be parked in the community are on the running track of the rescue vehicle, otherwise ignores the prompt;
the influence operation layer receives the decoration time and the disconnection times of the household electric leakage protector sent by the data calling module as influence factors, and simultaneously obtains an operation result of the first operation layer, and a second risk level of the household is obtained through the neural network learning system;
when the second risk level of the resident is normal, the resident is ignored; when the second risk level of the resident is high risk, pushing the result to an alarm module through a pushing module and giving an alarm to draw attention of staff, and pushing the result to a second operation layer through the pushing module;
the second operation layer also receives data sent by the pushing module when the second risk level of the resident is high risk, and at the moment, the running track of the rescue vehicle is adjusted to be coincident with the community road layout;
the general data module also comprises acquisition data of a data acquisition module when the resident ages, the decoration time and the historic fire disaster occur;
the construction data module further comprises building height and floor height;
the data acquisition module is used for acquiring the natural gas concentration of a resident, the temperature of a building wall body and the disconnection times of the leakage protector of the resident, and transmitting acquired data to the data analysis module;
and the alarm module is used for receiving the data sent by the cloud server and sending out an alarm.
2. The intelligent analysis system for future community integrated data according to claim 1, wherein the data retrieving module is configured to retrieve data stored in a community client and send the retrieved data to the data analysis module;
the pushing module is used for pushing the data result obtained by the operation of the data analysis module.
3. The intelligent analysis system for comprehensive data of future communities according to claim 2, wherein the data transmitting module is configured to transmit basic size information of a vehicle to a cloud server;
the receiving indication module is used for receiving indication information sent by the cloud server.
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| CN117436677B (en) * | 2023-12-21 | 2024-03-08 | 福建省捷云软件股份有限公司 | Base layer grid management method and system |
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