CN116246401A - Monitoring system for community public area management - Google Patents

Monitoring system for community public area management Download PDF

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Publication number
CN116246401A
CN116246401A CN202211604648.0A CN202211604648A CN116246401A CN 116246401 A CN116246401 A CN 116246401A CN 202211604648 A CN202211604648 A CN 202211604648A CN 116246401 A CN116246401 A CN 116246401A
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module
information
monitoring
personnel
subsystem
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郭涵
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Shanghai Youke Workshop Entrepreneurship Service Co ltd
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Shanghai Youke Workshop Entrepreneurship Service Co ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G06Q50/265—Personal security, identity or safety
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00—Fire alarms; Alarms responsive to explosion
    • G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
    • G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/20—Status alarms responsive to moisture
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Emergency Management (AREA)
  • Tourism & Hospitality (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Security & Cryptography (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
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  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Alarm Systems (AREA)

Abstract

The invention provides a monitoring system for community public area management, which comprises a personnel monitoring subsystem, an environment monitoring subsystem, a central processing terminal and an early warning subsystem, wherein the personnel monitoring subsystem is used for identifying and comparing behavior information and basic information of community personnel and sending the identification comparison result to the central processing terminal, the central processing terminal is used for analyzing the identification comparison result, when the analysis result reaches preset information, the early warning subsystem is used for sending early warning prompt, and when the monitored information reaches a threshold value, the early warning subsystem is used for sending early warning prompt.

Description

Monitoring system for community public area management
Technical Field
The invention relates to the technical field of monitoring systems, in particular to a monitoring system for community public area management.
Background
At present, with the development of socioeconomic performance, the process of urban mass production is increased. The urban community is a high concentration of personnel, wealth, substances and information, is also a basic unit of people's work and life, and is a social life community formed by people living in a certain region. The public safety of the urban community is related to national folk life.
The existing community monitoring system mainly monitors real-time video recording of communities through cameras arranged at different positions, for example, CN107547856A discloses a community safety video monitoring method, main cameras are installed aiming at main areas of a community entrance and a community exit and a plurality of floor entrances and exits, the cameras are covered on the whole surfaces of the community entrance and exit, and each floor covers floor monitoring cameras respectively; setting a community safety monitoring center, wherein the community safety monitoring center comprises a video display module and a camera calling module, and videos acquired by a main camera are continuously uploaded to the community safety monitoring center and displayed in real time; then judge whether start the camera or floor surveillance camera according to the video information that main camera gathered carries out comprehensive control, above-mentioned monitoring mode function optimizes to community large tracts of land control deployment control direction, but the result of use is comparatively single, need the people to look over the surveillance video in order to discover the anomaly, moreover, above-mentioned video monitoring only can record the condition in the control, carry out analysis, the early warning direction to the surveillance video and do not put forward effective solution direction, when not in time look over the anomaly and lead to the safety problem to take place, need call the reason that surveillance video looks for the problem to produce after the fact, the hysteresis quality of safety monitoring is big.
Therefore, the monitoring system for community public area management can achieve the effects of analyzing and early warning content of the monitoring video.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a monitoring system for community public area management, which has the advantages of multiple functions, real-time monitoring of a monitoring area, analysis and early warning.
The above object of the present invention is achieved by the following technical solutions: the utility model provides a monitored control system of public regional management of community, includes personnel monitoring subsystem, environment monitoring subsystem, central processing terminal, early warning subsystem, personnel monitoring subsystem is used for the discernment of the behavioral information of community personnel, basic information, compares to with discernment comparison result is sent to central processing terminal, central processing terminal is used for analyzing discernment comparison result, when analysis result reaches preset information, sends early warning suggestion through early warning subsystem, environment monitoring subsystem is used for monitoring temperature, humidity, noise and conflagration in the environment, when monitored information reaches the threshold value, sends early warning suggestion through early warning subsystem.
Preferably, the personnel monitoring subsystem comprises an acquisition module, an identification processing module and a sending module, wherein the acquisition module acquires community personnel behavior information and basic information, the identification processing module receives the information acquired by the acquisition module and identifies the received information, the identification processing module is electrically connected with a personnel information storage module, the personnel information storage module is pre-stored with the behavior information and the basic information, and the personnel information identified by the identification processing module is compared with the information in the personnel information storage module in an identification mode, and the comparison result is transmitted to the central processing terminal through the sending module.
Preferably, the behavior information pre-stored in the personnel information storage module comprises attack keyword preset information, attack behavior preset information, attack expression preset information and attack tool preset information, the identification processing module carries out identification comparison on the identified behavior information and the pre-stored behavior information, and when the identified behavior information accords with the pre-stored behavior information, the identification processing module transmits the identified behavior information to the central processing terminal for analysis.
Preferably, the basic information pre-stored in the personnel information storage module stores the identity information of the patient with abnormal behaviors, and the basic information comprises personnel ID and guardian contact information.
Preferably, the environment monitoring subsystem comprises a temperature monitoring module, a humidity monitoring module, a noise monitoring module and a fire monitoring module, wherein the temperature monitoring module is used for detecting weather temperature in real time and can be used for reminding community personnel to prevent, the humidity monitoring module is used for detecting humidity in air in real time, the noise monitoring module is used for detecting sound decibels in communities and labeling high-volume areas through a central processing terminal, and the fire monitoring module is used for monitoring community fires in real time.
Preferably, the fire monitoring module comprises an image acquisition module, an image fusion module, an image storage module, an image analysis module and a wireless transmission module, wherein the image acquisition module is used for acquiring a fire image and identifying the fire image, the image acquisition module firstly carries out the sharpness processing on acquired information through the image fusion module, then simultaneously transmits the fused image to the image storage module and the image analysis module for storage and analysis respectively, and when the analysis result of the image analysis module accords with a smoke alarm standard, the wireless transmission module sends an alarm instruction to the early warning subsystem.
Preferably, the personnel monitoring subsystem and the environment monitoring subsystem are provided with a deep learning algorithm module, and through a large amount of data training, the personnel monitoring subsystem and the environment monitoring subsystem simulate and identify personnel behaviors and environments in different forms, so that the identification capacity of the personnel monitoring subsystem and the environment monitoring subsystem is improved.
Preferably, the central processing terminal comprises a receiving and analyzing module and a display module, wherein the receiving and analyzing module receives information collected by the personnel monitoring subsystem and the environment monitoring subsystem and further analyzes the information through the receiving and analyzing module.
In summary, the present invention includes at least one of the following beneficial technical effects:
1. according to the invention, through the monitoring subsystem, the environment monitoring subsystem, the central processing terminal and the early warning subsystem which are arranged in the personnel monitoring system, and through the cooperation between the subsystems and the central processing terminal, on one hand, the automatic judgment of potential risk events in communities is realized so as to perform early warning, and the harm caused by risks is reduced, on the other hand, the monitoring of the environment conditions in communities is realized, and the targeted treatment of the monitored environment conditions is facilitated.
2. According to the invention, the deep learning algorithm module is arranged, and uninterrupted data training is carried out, so that the recognition capability of the personnel monitoring subsystem and the environment monitoring subsystem is improved, and the false alarm probability of the system is reduced.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
fig. 2 is a schematic view showing the construction of a fire monitoring module according to the present invention.
Reference numerals: 1. a personnel monitoring subsystem; 11. an acquisition module; 12. an identification processing module; 13. a transmitting module; 14. a personnel information storage module; 2. an environmental monitoring subsystem; 21. a temperature monitoring module; 22. a humidity monitoring module; 23. a noise monitoring module; 24. a fire monitoring module; 241. an image acquisition module; 242. an image fusion module; 243. an image storage module; 244. an image analysis module; 245. a wireless transmission module; 3. a central processing terminal; 31. a receiving and analyzing module; 32. a display module; 4. an early warning subsystem; 41. a receiving module; 42. displaying an alarm module; 43. a light alarm module; 44. and the mobile terminal alarm module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present application. It will be apparent that the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without the benefit of the present disclosure, are intended to be within the scope of the present application based on the described embodiments.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs. As used in the specification and claims of this application, the terms "a" and "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one.
In the description of the present application and claims, the terms "upper", "lower", "horizontal", etc. indicate an orientation or positional relationship based on that shown in the drawings, merely for convenience of description and to simplify the description, and do not indicate or imply that the apparatus or unit in question must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as limiting the present application.
The present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1-2 show a specific embodiment of a monitoring system for community public area management, which comprises a personnel monitoring subsystem 1, an environment monitoring subsystem 2, a central processing terminal 3 and an early warning subsystem 4, wherein the personnel monitoring subsystem 1 is used for identifying and comparing behavior information and basic information of community personnel and sending the identification comparison result to the central processing terminal 3, the central processing terminal 3 is used for analyzing the identification comparison result, when the analysis result reaches the standard of preset information, the early warning subsystem 4 is used for sending out early warning prompts, and the environment monitoring subsystem 2 is used for monitoring the temperature, the humidity, the noise and the fire in the environment, and when the monitored information reaches a threshold value, the early warning subsystem 4 is used for sending out early warning prompts.
In this application, personnel monitoring subsystem 1 includes collection module 11, discernment processing module 12, sending module 13, and collection module 11 gathers community personnel action information and basic information, and wherein, collection module 11 gathers the activity of all active personnel in its visual angle through the camera.
The recognition processing module 12 receives the information collected by the collection module 11 and recognizes the received information, the recognition processing module 12 is electrically connected with the personnel information storage module 14, the personnel information storage module 14 is pre-stored with behavior information and basic information, the personnel information recognized by the recognition processing module 12 is compared with the information in the personnel information storage module 14, and the comparison result is transmitted to the central processing terminal 3 through the transmitting module 13, wherein the recognition processing module 12 recognizes attack keyword information, attack behavior information, attack expression information and attack instrument information in the audios and videos in the collection information, the recognition of keyword preset information is performed through existing software such as shearing software, the attack action information can be recognized through an existing deep learning method, the attack expression preset information can be recognized through an existing expression recognition algorithm, and the attack instrument preset information is recognized through an existing deep learning method.
In addition, the personnel information storage module 14 stores behavior information in advance, including preset attack keyword information, preset attack behavior information, preset attack expression information and preset attack tool information, the recognition processing module 12 performs recognition comparison on the recognized behavior information and the pre-stored behavior information, and when the recognized behavior information accords with the pre-stored behavior information, the recognition processing module 12 transmits the recognized behavior information to the central processing terminal 3 for analysis and performs early warning prompt through the early warning subsystem 4.
In general, every community is always full of all kinds of people, so that there may be some people with mental or physical disabilities, in order to monitor the above-mentioned weak groups conveniently, avoid a person going out and accident, in this application, the basic information pre-stored in the personnel information storage module 14 stores the identity information of the patient with abnormal behavior, including personnel ID and guardian contact mode, through collecting the basic information of the above-mentioned weak groups, the basic information is pre-stored in the personnel information storage module 14, when the collecting module 11 collects information for community personnel, when the information collected accords with the pre-stored information of the above-mentioned weak groups, the pre-warning subsystem 4 carries out pre-warning prompt, the pre-warning mode can adopt to send the position information, video information or adopt the mode of real-time tracking shooting to carry out pre-warning promotion to the mobile phone end of guardian, in order to reduce the probability of error, of course, the facial recognition technology can be adopted simultaneously to carry out auxiliary recognition in this application, the system recognition ability can be further improved, thereby reduce the occurrence of accident in the community, and make the community safer.
Specifically, the distance between the patient with abnormal behavior and the residence is greater than the preset safety distance, and the patient with abnormal behavior is sent to the monitor to send alarm information, and of course, the patient with abnormal behavior is only sent to the monitor to be prompted when the patient with abnormal behavior moves independently and the residence distance is greater than the preset safety distance.
In this application, environment monitoring subsystem 2 includes temperature monitoring module 21, humidity monitoring module 22, noise monitoring module 23 and conflagration monitoring module 24, temperature monitoring module 21 is used for real-time detection weather temperature, can be used to remind the community personnel to prevent, humidity monitoring module 22 is used for real-time detection in the air humidity, noise monitoring module 23 is used for detecting the sound decibel in the community, and annotate high volume area through central processing terminal 3, conflagration monitoring module 24 is used for the real-time monitoring to the community conflagration, cooperate between the above-mentioned four modules, make whole environment monitoring subsystem 2 carry out the control of the aspect to the environment in the community, when environment monitoring subsystem 2 appears abnormal temperature in its detection area, or great decibel noise, carry out early warning suggestion through early warning subsystem 4, so that people make corresponding measure, of course, emergence through the abnormal temperature can prevent the conflagration.
In this application, the fire monitoring module 24 includes an image acquisition module 241, an image fusion module 242, an image storage module 243, an image analysis module 244, and a wireless transmission module 245, where the image acquisition module 241 acquires an image in a detection area by a camera and identifies the image, and the acquisition information includes identifying and detecting a moving target in the detection area in the camera, where the moving target is smoke, flame or one or a combination of the smoke and flame, and when the smoke and flame occur, the moving target is identified according to the changing motion of image pixels, or the color features of the smoke, the open flame, etc., and furthermore, the texture features of the smoke, the open flame, etc. identify, and also can extract the reliable dynamic features of smoke and fire by adopting an intensive optical flow method.
The image acquisition module 241 carries out the definition processing with the information of gathering through image fusion module 242 at first, and in this application, mainly through fusing different frame number images, make the image of gathering more wash, be convenient for discern the information on the image of gathering, still can be through modifying some parameters such as exposure, grey scale, more do benefit to the discernment to the moving object, be convenient for the control in the detection region.
And then the fused images are simultaneously transmitted to the image storage module 243 and the image analysis module 244 for storage and analysis respectively, and when the analysis result of the image analysis module 244 meets the smoke alarm standard, the wireless transmission module 245 sends an alarm instruction to the early warning subsystem 4.
In this application, in order to promote the recognition capability of system, reduce the system false alarm probability, consequently, carry on the deep learning algorithm module in personnel control subsystem 1, the environment monitoring subsystem 2, through a large amount of data training, make personnel control subsystem 1 and environment monitoring subsystem 2 carry out simulation recognition to different forms 'personnel action and environment, improve personnel control subsystem 1, environment monitoring subsystem 2's recognition capability.
In the application, the central processing terminal 3 comprises a receiving and analyzing module 31 and a display module 32, wherein the receiving and analyzing module 31 receives information collected by the personnel monitoring subsystem 1 and the environment monitoring subsystem 2 and further analyzes the information through the receiving and analyzing module 31, the receiving and analyzing module 31 mainly carries out further analysis, identification and analysis on the collected information through built-in analysis software, the personnel monitoring subsystem 1 specifically carries out further confirmation on the personnel identity in an image through the analysis software, and the identity of the personnel is further determined through selecting the image which can show the appearance as the basis of the identification and analysis and comparing with pre-stored information; the environment monitoring subsystem 2 further identifies the detected abnormal temperature and the movable targets in the monitoring area through analysis software, so that the fire disaster is prevented.
When smoke and fire are identified, firstly, through pre-judging the color, texture and motion characteristics of the flame, filtering out the obvious areas with non-smoke color, mainly removing the areas with larger differences with the color characteristics of smoke, open fire and the like through the statistical characteristics of the color histogram and a preset threshold value;
then, filtering out areas with obvious non-pyrotechnic textures, mainly removing areas with larger differences from the textures of smoke, open fire and the like through the textures and preset threshold values;
and finally, filtering out a motion area which cannot be matched with the front frame and the rear frame of the acquired image, improving the recognition condition of the image, and facilitating the detection of fire in the later period.
In this application, can also be provided with distance sensor, and be connected between distance sensor and the camera, confirm the movable target through the camera, after the movable target confirms, send alarm suggestion through early warning subsystem 4, distance sensor measures the real-time position of movable target through the camera this moment, and be connected with the central control terminal electricity through distance sensor, show through the electronic map in the central control terminal, realize on the electronic map accurate mark out the detection zone that movable target is located, more do benefit to the timely location to the fire position and do corresponding processing.
In this application, early warning subsystem 4 includes receiving module 41, display alarm module 42, light alarm module 43, remove and hold alarm module 44, and receiving module 41 respectively with display alarm module 42, light alarm module 43, remove and hold and be connected between alarm module 44 electricity, receiving module 41 receives the alarm instruction and transmits alarm instruction to display alarm module 42, light alarm module 43 respectively, remove and hold alarm module 44 and carry out the warning suggestion.
The display alarm module 42 is used for displaying the real-time position of the moving object in the detection area and the real-time distance between the moving object and the detection device, and displaying the model and address information of the camera through the display alarm module 42.
Moreover, the display alarm module 42 flashes through the display screen, so that a person can check through the display screen at the first time when working, and can confirm the situation in the detection area timely.
In this application, light alarm module 43 alerts through the light of warning light and through sending out the warning sound, wherein, have two kinds of alarm modes in the light alarm module 43, one of them, report to the police through the light scintillation, when no personnel input the stop instruction to the light alarm, light alarm module 43 implements the second kind of alarm mode, two of them, cooperate between through light scintillation and the warning sound, realize at audible and visual dual warning suggestion, more can report to the police the suggestion to the detection personnel.
The embodiments of the present invention are all preferred embodiments of the present invention, and are not intended to limit the scope of the present invention in this way, therefore: all equivalent changes in structure, shape and principle of the invention should be covered in the scope of protection of the invention.

Claims (8)

1. The utility model provides a monitored control system of public regional management of community, its characterized in that includes personnel monitoring subsystem, environment monitoring subsystem, central processing terminal, early warning subsystem, personnel monitoring subsystem is used for the discernment of the behavioral information of community personnel, basic information, comparison to with discernment comparison result is sent to central processing terminal, central processing terminal is used for analyzing discernment comparison result, when analysis result reaches preset information, sends the early warning suggestion through early warning subsystem, environment monitoring subsystem is used for monitoring temperature, humidity, noise and conflagration in the environment, when monitored information reaches the threshold value, sends the early warning suggestion through the early warning subsystem.
2. The monitoring system for community public area management according to claim 1, wherein the personnel monitoring subsystem comprises an acquisition module, an identification processing module and a sending module, wherein the acquisition module acquires community personnel behavior information and basic information, the identification processing module receives the information acquired by the acquisition module and identifies the received information, the identification processing module is electrically connected with a personnel information storage module, the personnel information storage module is pre-stored with the behavior information and the basic information, and the personnel information identified by the identification processing module is compared with the information in the personnel information storage module in an identification mode, and the comparison result is transmitted to the central processing terminal through the sending module.
3. The monitoring system for community public area management according to claim 2, wherein the behavior information prestored in the personnel information storage module comprises attack keyword preset information, attack behavior preset information, attack expression preset information and attack tool preset information, the identification processing module carries out identification comparison on the identified behavior information and the prestored behavior information, and when the identified behavior information accords with the prestored behavior information, the identification processing module transmits the identified behavior information to the central processing terminal for analysis.
4. The monitoring system for community public area management according to claim 2, wherein the basic information pre-stored in the personnel information storage module stores the identity information of the patient with abnormal behavior, and the basic information includes personnel ID and guardian contact information.
5. The monitoring system for community public area management according to claim 1, wherein the environment monitoring subsystem comprises a temperature monitoring module, a humidity monitoring module, a noise monitoring module and a fire monitoring module, wherein the temperature monitoring module is used for detecting weather temperature in real time and can be used for reminding community personnel to prevent, the humidity monitoring module is used for detecting humidity in air in real time, the noise monitoring module is used for detecting sound decibels in communities and marking high-volume areas through a central processing terminal, and the fire monitoring module is used for monitoring community fires in real time.
6. The monitoring system for community public area management according to claim 1, wherein the fire monitoring module comprises an image acquisition module, an image fusion module, an image storage module, an image analysis module and a wireless transmission module, wherein the image acquisition module is used for acquiring fire images and identifying the fire images, the image acquisition module is used for carrying out clearing processing on acquired information firstly through the image fusion module, then simultaneously transmitting the fused images to the image storage module and the image analysis module for storage and analysis respectively, and when a result analyzed by the image analysis module meets smoke alarm standards, the wireless transmission module sends alarm instructions to the early warning subsystem.
7. The monitoring system for community public area management according to claim 1, wherein the personnel monitoring subsystem and the environment monitoring subsystem are provided with a deep learning algorithm module, and the personnel monitoring subsystem and the environment monitoring subsystem simulate and identify personnel behaviors and environments in different forms through a large amount of data training, so that the identification capacity of the personnel monitoring subsystem and the environment monitoring subsystem is improved.
8. The monitoring system for community public area management according to claim 1, wherein the central processing terminal comprises a receiving and analyzing module and a display module, wherein the receiving and analyzing module receives information collected by the personnel monitoring subsystem and the environment monitoring subsystem, and further analyzes the information through the receiving and analyzing module.
CN202211604648.0A 2022-12-13 2022-12-13 Monitoring system for community public area management Pending CN116246401A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117132945A (en) * 2023-10-25 2023-11-28 四川三思德科技有限公司 Multi-source data fusion-based key area security method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117132945A (en) * 2023-10-25 2023-11-28 四川三思德科技有限公司 Multi-source data fusion-based key area security method and device
CN117132945B (en) * 2023-10-25 2024-01-09 四川三思德科技有限公司 Multi-source data fusion-based key area security method and device

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