Intelligent community management system and intelligent community management system control method

Abstract

The application belongs to the technical field of intelligent community management, and particularly relates to an intelligent community management system and a control method of the intelligent community management system. The application comprises a comprehensive control center, a comprehensive security management subsystem, a traffic management subsystem, a device management subsystem, an energy management subsystem, an environment management subsystem, a public broadcasting subsystem, an information publishing subsystem and intelligent equipment. The comprehensive control center, the intelligent equipment and the various subsystems are communicatively connected through the Internet of Things. The comprehensive security management subsystem comprises a comprehensive security management control center, a video monitoring subsystem and a high-altitude object throwing prevention and control subsystem. The video monitoring subsystem is used for collecting video images of public areas of the intelligent community and analyzing and processing the collected video images. The application can improve community management efficiency and timely discover security events in the community.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of intelligent community management, and particularly relates to an intelligent community management system and a control method of the intelligent community management system. BACKGROUND

[0002] A community is a space where people live together, and the level of community management has a very important influence on the quality of people's life. Good community management can create a safe, clean, and comfortable living environment for people. However, the current community management still adopts manual management. For example, in the scheme of the patent with the publication number CN112749877A, the patrol task is sent to the patrol personnel, and the patrol personnel uploads the problems found in the form of pictures, videos, audios, or texts to the management system after on-site patrol. The foregoing way cannot timely find some situations affecting community security because the relevant management personnel cannot check and patrol every public area of the community at all times, and the staff cannot uniformly and efficiently manage various intelligent devices set in the community, resulting in low management efficiency. In addition, the manual management cannot timely find the high-altitude throwing situation in the community, and it is more difficult to remind the personnel in the community to pay attention to protection. SUMMARY

[0003] Therefore, the present application provides an intelligent community management system to solve the technical problem that the traditional manual community management has low efficiency and cannot timely find the event affecting community security.

[0004] The technical solution adopted by the present application is as follows:

[0005] In a first aspect, the present application provides an intelligent community management system, which comprises a comprehensive control center, a comprehensive security management subsystem, a traffic management subsystem, a device management subsystem, an energy management subsystem, an environment management subsystem, a public broadcasting subsystem, an information publishing subsystem, and intelligent devices. The comprehensive control center, the intelligent devices, and the various subsystems are communicatively connected through the Internet of Things.

[0006] The comprehensive security management subsystem includes a comprehensive security management control center, a video monitoring subsystem, and a high-altitude object throwing prevention and control subsystem; the video monitoring subsystem is used to collect video images of public areas of the smart community and analyze and process the collected video images; the comprehensive security management control center sends corresponding security measure information according to the analysis and processing results; the high-altitude object throwing prevention and control subsystem includes a high-altitude object throwing detection device and a high-altitude object throwing hazard early warning device; the high-altitude object throwing detection device is used to detect high-altitude object throwing events in the smart community; the high-altitude object throwing hazard early warning device is used to generate a hazard early warning signal according to a predicted dangerous area when a high-altitude object throwing event is detected; and the hazard early warning signal is used to prompt community personnel about a dangerous area caused by high-altitude object throwing.

[0007] Preferably, the high-altitude object throwing detection device is also used to detect a source position of high-altitude object throwing and send the detected source position of high-altitude object throwing to the comprehensive security management control center; the high-altitude object throwing hazard early warning device includes a light reminding device and a sound reminding device; the sound reminding device is used to emit a sound to remind community personnel to pay attention to high-altitude object throwing; and the light reminding device is used to irradiate a dangerous area caused by high-altitude object throwing with light of a preset color so that the dangerous area reflects light of a color different from that of other areas.

[0008] Preferably, the system further includes a pet management subsystem; the pet management subsystem includes a first video image collection device and a pet management control center; the first video image collection device is used to collect video images of public areas of the community; and the pet management control center is used to screen video images containing pets from the video images collected by the first video collection device as target video images; the pet management control center is also used to detect whether there is a pet lost and / or pet defecation and / or pet not on a leash according to the target video images; if so, the pet management control center acquires a membership relationship between the pet and the owner and sends prompt information to a terminal of the owner of the pet according to the membership relationship.

[0009] In a second aspect, the present application provides a smart community management system control method for controlling the smart community management system in the first aspect; the method includes the following steps:

[0010] S1: collecting video images of public areas of the smart community;

[0011] S2: analyzing and processing the collected video images;

[0012] S3: sending corresponding security measure information according to the analysis and processing results;

[0013] S4: detecting high-altitude object throwing events in the smart community;

[0014] S5: generating a hazard warning signal according to the predicted dangerous area when detecting the occurrence of the high-altitude throwing event, the hazard warning signal being used to prompt the community personnel to the dangerous area caused by the high-altitude throwing.

[0015] Preferably, the S5: generating a hazard warning signal according to the predicted dangerous area when detecting the occurrence of the high-altitude throwing event, the hazard warning signal being used to prompt the community personnel to the dangerous area caused by the high-altitude throwing further comprises the following steps:

[0016] S51: obtaining the real-time position and speed of the thrown object when detecting that an object is thrown from the building;

[0017] S52: generating a light reminder device control signal according to the real-time position and speed;

[0018] S53: controlling the light reminder device to project a reminder pattern on the ground according to the control signal, the center position of the reminder pattern being the same as the position of the vertical projection of the thrown object on the ground.

[0019] Preferably, the S5: generating a hazard warning signal according to the predicted dangerous area when detecting the occurrence of the high-altitude throwing event, the hazard warning signal being used to prompt the community personnel to the dangerous area caused by the high-altitude throwing further comprises the following steps:

[0020] S501: obtaining the real-time position and speed of the thrown object when detecting that an object is thrown from the building;

[0021] S502: predicting the landing position of the thrown object according to the position and speed of the thrown object;

[0022] S503: determining the dangerous area according to the predicted landing position;

[0023] S504: controlling the light reminder device to irradiate the dangerous area with a color different from the ground;

[0024] Preferably, the method further comprises the following steps:

[0025] S10: obtaining the position and concentration of the smoke when detecting the occurrence of the smoke in the smart community;

[0026] S20: obtaining the environmental information around the smoke according to the position of the smoke;

[0027] S30: obtaining the diffusion condition of the smoke according to the environmental information;

[0028] S40: determining the influence area and the continuous influence time of the smoke according to the position of the smoke, the concentration of the smoke and the diffusion condition;

[0029] S50: obtaining the position of the sensitive personnel in the community;

[0030] S60: generating and sending corresponding warning information to the corresponding sensitive person according to the position of the sensitive person in the community and the influence area and the continuous influence time of the smoke.

[0031] Preferably, the method further comprises the following steps after the S60: generating and sending corresponding warning information to the corresponding sensitive person according to the position of the sensitive person in the community and the influence area and the continuous influence time of the smoke:

[0032] S61: determining an avoidance route according to the influence area and the continuous influence time of the smoke;

[0033] S62: sending the avoidance route to the user terminal carried by the sensitive person;

[0034] S63: determining a potential danger area according to the influence area and the continuous influence time of the smoke;

[0035] S64: determining a passage and an entering direction that the sensitive person can enter into the potential danger area from the current position according to the position of the sensitive person and the potential danger area;

[0036] S65: obtaining an ID number of an electronic access control for controlling the passage and the entrance of the passage;

[0037] S66: generating a permission instruction for prohibiting the corresponding sensitive person to pass through the corresponding electronic access control in the entering direction according to the ID number of the electronic access control and the entering direction;

[0038] S67: controlling the opening state of the corresponding electronic access control according to the permission instruction, the opening state including bidirectional closing and unidirectional closing.

[0039] Preferably, the method further comprises the following steps:

[0040] S71: obtaining a video image containing a pet as a target video image;

[0041] S72: tracking the pet in the target video image;

[0042] S73: judging whether the pet is lost according to the time that the pet in the target video image stays continuously outside the residential area;

[0043] S74: if it is judged that the pet is lost, obtaining the membership relationship between the lost pet and the owner;

[0044] S75: sending pet loss reminding information to the user terminal of the owner to which the lost pet belongs according to the membership relationship.

[0045] Preferably, the method further comprises the following steps:

[0046] S81: obtaining vehicle information entering the community;

[0047] S82: obtaining a residence location of a target owner according to the vehicle information;

[0048] S83: obtaining a parking location closest to the residence location from the parking lot as an ideal parking location according to the residence location;

[0049] S84: detecting the occupancy state of each parking space in the parking lot in order from the ideal parking location, until an unoccupied parking space is detected, and taking the parking space as a target parking space;

[0050] S85: sending the location of the target parking space to a user terminal of a vehicle user;

[0051] Preferably, the comprehensive security management subsystem comprises a first distance-measurable wireless electronic fence and a second distance-measurable wireless electronic fence, and the method further comprises the following steps:

[0052] S91: obtaining the distance of a target object detected by the first distance-measurable wireless electronic fence as a first distance;

[0053] S92: obtaining the distance of the target object detected by the second distance-measurable wireless electronic fence as a second distance;

[0054] S93: determining the position of the target object in a reference direction according to the first distance and the second distance;

[0055] S94: obtaining a video perimeter corresponding to the position of the target object in the reference direction according to the position;

[0056] S95: obtaining a video image containing the target object and the video perimeter;

[0057] S96: judging whether the target object has invaded the boundary of a target monitoring area according to the video perimeter and the relative position of the target object in the video image.

[0058] Beneficial effects: the intelligent community management system and the intelligent community management system control method of the present application connect each sub-system and each intelligent device through the Internet of Things platform, each sub-system can obtain information related to community management in real time through each intelligent device, and the management of the corresponding community can also be realized by controlling each intelligent device in real time, which greatly reduces the degree of manual participation and improves the efficiency of community management. Moreover, the present application also utilizes the high-altitude object throwing prevention and control subsystem including a high-altitude object throwing detection device and a high-altitude object throwing hazard warning device to detect high-altitude object throwing events in the intelligent community, timely discover dangerous situations of high-altitude object throwing, and use the high-altitude object throwing hazard warning device to issue a hazard warning signal to prompt community personnel which are dangerous areas that may be caused by high-altitude object throwing, so as to help relevant personnel take timely response measures. BRIEF DESCRIPTION OF DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly introduced below. For those skilled in the art, other drawings can also be obtained without creative labor on the premise that these drawings are within the protection scope of the present application.

[0060] Figure 1 The structural block diagram of the intelligent community management system of the present application;

[0061] Figure 2 The schematic diagram of the communication connection between the traffic management subsystem and each intelligent device in the intelligent community management system of the present application;

[0062] Figure 3 The schematic diagram of the communication connection between the equipment management subsystem and each intelligent device in the intelligent community management system of the present application;

[0063] Figure 4 The schematic diagram of the communication connection between the energy management subsystem and each intelligent device in the intelligent community management system of the present application;

[0064] Figure 5 The schematic diagram of the communication connection between the environment management subsystem and each intelligent device in the intelligent community management system;

[0065] Figure 6 The schematic diagram of the monitoring range of the high-altitude object throwing detection device in the present application;

[0066] Figure 7 The schematic diagram of the image projection of the light reminding device to the dangerous area in the present application;

[0067] Figure 8 The schematic diagram of the image projection of the light reminding device to the dangerous area according to the position of the falling object in the present application;

[0068] Figure 9 The schematic diagram of the light reminding device according to the present application for projecting images to the dangerous area according to the falling point probability;

[0069] Figure 10 The structural block diagram of the control circuit used in the present application;

[0070] Figure 11 The flowchart of the control method of the smart community management system of the present application;

[0071] Figure 12 The flowchart of the method for sending reminding information to sensitive personnel by using the smoke sensing system of the present application. DETAILED DESCRIPTION

[0072] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the embodiments of the present application. It should be noted that, in the present text, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or sequence between the entities or operations. In the description of the present application, it should be understood that the orientations or position relationships indicated by the terms “center”, “upper”, “lower”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inner”, “outer” and the like are based on the orientations or position relationships shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and are not intended to indicate or imply that the devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. Moreover, the terms “include”, “contain” or any other variants thereof are intended to cover non-exclusive inclusion, so that the processes, methods, articles or devices that include a series of elements not only include those elements, but also include other elements that are not explicitly listed, or include elements inherent to such processes, methods, articles or devices. Without more limitations, the elements defined by the statement “include” do not exclude the presence of other identical elements in the processes, methods, articles or devices that include the elements. If there is no conflict, the embodiments of the present application and the various features in the embodiments can be combined with each other, and are all within the protection scope of the present application.

[0073] Embodiment 1

[0074] As shown in the figure, the embodiment provides a smart community management system, which comprises a comprehensive control center, a comprehensive security management subsystem, a traffic management subsystem, a device management subsystem, an energy management subsystem, an environment management subsystem, a public broadcasting subsystem, an information publishing subsystem and smart devices. The comprehensive control center, the smart devices and the various subsystems are communicatively connected through the Internet of Things. The smart devices include, but are not limited to, smart access control, smart barrier gate, smart door lock, smart building video intercom device, smart elevator, smart car charging pile, smart street lamp, smart light, smart garbage can. Each smart device and each subsystem can communicate through a corresponding communication module, wherein the communication module includes, but is not limited to, a WiFi communication module, an RF Mesh communication module, a ZigBee communication module, a ZWave communication module, an NB-IoT communication module, an eLTE-IoT communication module, a TCP / IP communication module and a 5G / 4G / 3G / 2G communication module.

[0075] As shown in the figure, the traffic management subsystem is used to manage the smart access control, the smart barrier gate, the smart door lock and the smart building video intercom device. Figure 2 As shown in the figure, the device management subsystem is used to manage the smart elevator control system and the fresh air system. Figure 3 As shown in the figure, the energy management subsystem is used to manage the smart car charging pile and the smart parking subsystem. Figure 4 As shown in the figure, the environment management subsystem is used to manage the smart street lamp, the smart light and the smart garbage can. Figure 5

[0076] The comprehensive security management subsystem comprises a comprehensive security management control center, a video monitoring subsystem and a high-altitude object throwing prevention and control subsystem. The video monitoring subsystem is used to collect video images of public areas in the smart community and analyze and process the collected video images.

[0077] ​The video monitoring subsystem includes cameras and control circuits arranged at various locations in the smart community. In this embodiment, the cameras are arranged at positions and angles such that the areas covered by the cameras cover the public areas of the smart community. Each camera sends the image information collected by the camera to the control circuit of the video monitoring subsystem, and the control circuit processes and analyzes the collected video images. The comprehensive security management control center also has a corresponding control circuit, and the control circuit of the comprehensive security management control center sends corresponding security measures information according to the analysis result. For example, the video monitoring subsystem can perform face recognition on the faces of people in the video images. For example, if the video monitoring subsystem recognizes a face in the video images that does not belong to a person recorded in the community, the comprehensive security management control center can take measures to locate and track the person, and send the person's location and image to the security personnel of the community, and when the person is detected to be near the entrance of the community, the image and the warning information are sent to the information receiving terminal of the entrance or the information receiving terminal of the security personnel responsible for the entrance, to remind the security personnel to check the person. For example, the video monitoring subsystem can also recognize video images of fires in the video images. When a fire is detected in the video images, the comprehensive security management control center determines the area where the fire occurred in the smart community according to the position corresponding to the collected video images, and sends the location information of the fire to the security personnel of the community, and sends the location information of the fire and the information of the escape route to the user terminals used by the relevant residents.

[0078] In this embodiment, the high-altitude object throwing prevention and control subsystem includes a high-altitude object throwing detection device 20 and a high-altitude object throwing hazard warning device. The high-altitude object throwing detection device 20 is used to detect high-altitude object throwing events in the smart community, and the high-altitude object throwing hazard warning device is used to generate a hazard warning signal according to the predicted dangerous area 30 when a high-altitude object throwing event is detected. The hazard warning signal is used to prompt community personnel to the dangerous area 30 caused by high-altitude object throwing.

[0079] As Figure 6 described above, the high-altitude area detection camera gun 21 and the low-altitude area detection camera gun 22 can be arranged around the building 10. The high-altitude area detection camera gun 21 is responsible for detecting high-altitude area throwing, and the low-altitude area detection camera gun 22 is responsible for detecting high-altitude area throwing.

[0080] The high-altitude object throwing detection device 20 comprises a plurality of radar detection devices, which are ultrasonic radars and / or laser radars. The radar detection devices comprise a first radar detection device, which is installed above the window of the unit house, can slightly exceed the window outwardly, and has an installation angle from the direction away from the window to the direction close to the window, so that the detection range of the first radar detection device can completely cover the area outside the window. In this way, the first radar detection device can quickly detect the object thrown out of the window. The radar detection devices further comprise a second radar detection device and a third radar detection device. The second radar detection device and the third radar detection device are installed above the window of the unit house, can be close to the outer wall above the window, and have an installation angle from the direction close to the window to the direction away from the window, and are used to detect the moving track of the object after being thrown out. The detection range of the second radar detection device is farther away from the window than that of the first radar detection device, and the detection range of the third radar detection device is farther away from the window than that of the second radar detection device. The detection range of the second radar detection device partially overlaps that of the first radar detection device, and the detection range of the third radar detection device partially overlaps that of the second radar detection device. In the foregoing manner, the detection ranges of the first, second, and third radar detection devices can seamlessly connect with each other, and the detection range of the entire radar detection device can cover the window, i.e., the area where the object moves after being thrown out of the window, from near to far, so that not only the occurrence of the high-altitude object throwing event can be detected in time, but also the situation after the object is thrown out of the window can be detected.

[0081] In the embodiment, the high-altitude object throwing detection device 20 is also used to detect the source position of the high-altitude object throwing and send the detected source position of the high-altitude object throwing to the comprehensive security management control center. Since the first radar detection device of the embodiment uses radar waves to detect the high-altitude object throwing, the specific position of the object throwing can be determined according to the installation position of the first radar detection device and the reflection position of the received radar reflection waves, so as to help the relevant management personnel find the person responsible for the high-altitude object throwing.

[0082] In addition, when the high-altitude object throwing detection device 20 detects the high-altitude object throwing, the high-altitude object throwing prevention subsystem sends the position and time point of the high-altitude object throwing to the comprehensive security management control center. The comprehensive security management control center finds the video images of the relevant area and covering the time period before and after the time point from the video images collected by the video monitoring subsystem, saves or records the video images, and sends the video images to the user terminals of the relevant personnel.

[0083] The high-altitude object-throwing hazard early warning device includes a light reminder device 30 and a sound reminder device for emitting a sound reminding community personnel to pay attention to high-altitude object throwing.

[0084] In this embodiment, the comprehensive security management subsystem further includes a smart smoke sensing subsystem for detecting whether smoke appears in the community, generating a smoke alarm when smoke appears, and sending the location where the smoke appears to the comprehensive security management control center. The security management control center sends the information of the location where the smoke appears to the community personnel terminal device.

[0085] The smart smoke sensing subsystem includes a smoke sensor and a smart smoke sensing control center, and the smart smoke sensing control center includes a control circuit. The smoke sensor is installed at each smoke monitoring position in the community. When detecting that smoke appears in the relevant area, the smoke sensor generates a corresponding smoke detection signal. The control circuit receives the smoke detection signal detected by the smoke sensor, determines the location where the smoke appears according to the installation position of the smoke sensor sending the signal, and sends the smoke detection signal and the location where the smoke appears to the comprehensive security management control center. The security management control center sends the information of the location where the smoke appears to the community personnel terminal device. The terminal device includes a mobile phone, a tablet, a wearable device, a computer, a smart television, and the like. Community personnel can know in time through these terminal devices which places in the community have smoke, so as to take corresponding security measures.

[0086] In addition, in this embodiment, the smart smoke sensing subsystem also detects the concentration of smoke. The smart smoke sensing subsystem is also used for predicting the influence area, continuous influence time and diffusion range of the smoke according to the location where the smoke appears and the concentration of the smoke. The comprehensive security management control center is also used for obtaining the ID of sensitive personnel and the location of the sensitive personnel in the community. The sensitive personnel includes pregnant women, infants, and patients with respiratory system diseases. The comprehensive security management control center sends the predicted influence area, continuous influence time and diffusion range of the smoke to the user terminal carried by the sensitive personnel, and sends a warning prompt information to the user terminal when the sensitive personnel approaches the influence area.

[0087] Embodiment 3

[0088] The smart community management system in the embodiment further comprises a pet management subsystem, the pet management subsystem comprising a first video image acquisition device and a pet management control center, the first video image acquisition device being configured to acquire video images of public areas in the community, and the pet management control center being configured to screen video images containing pets from the video images acquired by the first video acquisition device as target video images, and further configured to detect whether there is a pet lost and / or pet defecation and / or pet not on a leash according to the target video images, and if so, acquire the membership relationship between the pet and the owner, and send prompt information to the terminal of the owner to which the pet belongs according to the membership relationship.

[0089] Pets may defecate in public areas in the community, which will affect the health of the community if not cleaned in time. Therefore, the first video image acquisition device is used to acquire video images of various positions in the community in the embodiment, and then the pet management control center is used to screen images containing pets. The method of screening pet images can use a neural network algorithm based on deep learning. First, images of various pets in the community are acquired as samples to train the neural network, and a trained neural network is obtained. Then, the video images acquired by the first video image acquisition device are used as the input of the neural network, and the trained neural network is used to output images containing pets as target images. The pet management control center analyzes the pet images in the target images, extracts the key points of the pet's skeleton, and obtains the posture of the pet according to the relative positions of the key points, and then judges whether the pet is defecating according to the posture of the pet, and if the pet is defecating, acquires the position of the pet defecation, and notifies the relevant personnel to handle it.

[0090] In addition, the embodiment can also analyze the target image to determine whether the pet in the community is not on a leash, and if so, remind the nearby personnel through the community broadcasting system. The embodiment can also analyze the image to determine whether the pet is lost. For example, if the time of a pet outside a house exceeds a set time through image analysis, it is determined that the pet is in a lost state. At this time, the image containing the pet can be found from the video images acquired by the first video image acquisition device as a second target image. The membership relationship between the pet and the owner is found through analysis of the second target image. For example, through analysis of the second target image, it is found that the pet enters and exits a certain owner's house more than a preset value, and it is determined that the pet belongs to the owner of the house. For example, through analysis of the second target image, it is found that the distance between the pet and a certain person in the community is less than a first preset distance value for more than a first preset time value, and it is determined that the pet belongs to the person. When the membership relationship between the pet and the owner is determined, the owner can be reminded that his pet is lost and the current location of the pet by sending information to the user terminal of the owner.

[0091] In addition, the pet management control center can also identify the type of pet in the image, and count the number of pets of each type, and then push pet-related commodity information to community-related personnel according to the type and number of pets and the affiliation of the pets. For example, the pet management control center obtains that the number of huskies in the community is large through image recognition, and obtains the ID of the owner who feeds the husky in the community through image analysis, and then can push the commodity advertisements of pet supplies related to huskies, such as related pet food, pet clothes, etc. to the terminal device of the owner, so as to realize accurate delivery of advertisements.

[0092] Embodiment 4

[0093] In this embodiment, the comprehensive security management subsystem further comprises an electronic fence management subsystem, the electronic fence management subsystem comprises a second video image acquisition device for acquiring video images of a preset area and an area near the preset area in the smart community and an electronic fence control center, and the electronic fence control center is configured to detect whether a target object enters or exits the preset area according to the video images of the preset area and the area near the preset area, and generate an alarm prompt information if so.

[0094] The preset area is a non-motor vehicle prohibited area, and the target object is a non-motor vehicle. The electronic fence control center sets a frame body at a corresponding position of the video image according to the non-motor vehicle prohibited area, and generates a prompt information when the electronic fence control center detects that a non-motor vehicle enters the frame body in the video image.

[0095] Embodiment 5

[0096] The smart management system of this embodiment further comprises an unmanned supermarket management subsystem for managing the unmanned supermarket in the community. The unmanned supermarket can be provided with intelligent checkout terminals, personnel member machines and other intelligent devices.

[0097] The unmanned supermarket management subsystem comprises an unmanned supermarket management center and a user purchase commodity information acquisition system. The user purchase commodity information acquisition system is configured to acquire user purchase commodity information, and the user purchase commodity information comprises type, quantity, price and time. The unmanned supermarket management subsystem analyzes the consumption habits of users according to the user purchase commodity information, and pushes related commodity advertisements to users according to the consumption system.

[0098] The unmanned supermarket management subsystem of this embodiment can acquire a large amount of information data of commodities purchased by users at different times, and then analyze these data. According to some consumption habits of users obtained through analysis, such as the type of commodities that users like to purchase, the brand that users like to accept, and the price range that users accept, the system can accurately push advertisements to users.

[0099] As Figure 10 shown in the foregoing various embodiments, the control circuit can include a processor 401 and a memory 402 storing computer program instructions.

[0100] In particular, the processor 401 can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc., and can be configured to implement one or more integrated circuits configured to perform the methods of the embodiments of the present application.

[0101] The memory 402 can include a mass storage for data or instructions. By way of example and not limitation, the memory 402 can include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. Where appropriate, the memory 402 can include removable or non-removable (or fixed) media. Where appropriate, the memory 402 can be internal or external to the data processing apparatus. In certain embodiments, the memory 402 is non-volatile solid-state memory. In certain embodiments, the memory 402 includes read-only memory (ROM). Where appropriate, this ROM can be mask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically alterable ROM (EAROM), or flash memory, or a combination of two or more of these. Where appropriate, the memory 402 can be a non-transitory computer-readable medium.

[0102] The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement the data addressing method of any of the foregoing embodiments.

[0103] In one example, the control circuit of the present embodiment can further include a communication interface 403 and a bus 410. As Figure 10 shown, the processor 401, the memory 402, and the communication interface 403 are connected through the bus 410 and complete communication with each other.

[0104] The communication interface 403 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of the present invention.

[0105] Bus 410 includes hardware, software, or both, that couples components in the control circuitry together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 410 may include one or more buses. While specific buses are described and illustrated in embodiments of the invention, the invention contemplates any suitable bus or interconnect.

[0106] Example 6

[0107] like Figure 11 As shown, this embodiment also provides a high-quality smart community management system control method for controlling the smart community management system in any of the foregoing embodiments. The method includes the following steps:

[0108] S1: Collect video images of public areas in the smart community;

[0109] This step utilizes cameras installed throughout the smart community as part of the video surveillance subsystem to capture video images. By adjusting the installation positions and angles of these cameras, this embodiment ensures that their coverage extends to the entire public area of ​​the smart community. Each camera sends its captured image information to the control circuitry of the video surveillance subsystem.

[0110] S2: Analyze and process the acquired video images;

[0111] S3: Send corresponding security measures information based on the analysis and processing results;

[0112] The control circuit of the comprehensive security management control center sends corresponding security measure information according to the analysis processing result. For example, the video monitoring subsystem can perform face recognition on the face of a person in a video image. For example, when it is recognized that a face that does not belong to a person recorded in the community appears in the video image, the comprehensive security management control center can take a measure of positioning and tracking the relevant person, and send the position and image of the person to the security personnel of the community, and when it is detected that the person approaches the entrance of the community, the image and the reminding information are sent to the information receiving terminal of the entrance or the information receiving terminal of the security personnel in charge of the entrance, so as to remind the security personnel to check the person.

[0113] S4: detecting a high-altitude throwing event in the smart community;

[0114] This step uses the high-altitude throwing detection device 20 to detect a high-altitude throwing event in the smart community,

[0115] S5: generating a danger warning signal according to the predicted danger area 30 when a high-altitude throwing event is detected, the danger warning signal being used to prompt the community personnel about the danger area 30 caused by high-altitude throwing.

[0116] This step uses the high-altitude throwing danger warning device to generate a danger warning signal according to the predicted danger area 30 when a high-altitude throwing event is detected, the danger warning signal being used to prompt the community personnel about the danger area 30 caused by high-altitude throwing.

[0117] After detecting high-altitude throwing and predicting the danger area 30 caused by high-altitude throwing, this embodiment immediately sends a prompt signal to the nearby personnel using the high-altitude throwing detection device 20, reminding people that an object will fall from a high altitude near them, and they need to pay attention to avoid and self-protect, so as to further improve the safety of the community.

[0118] In this embodiment, the S5: generating a danger warning signal according to the predicted danger area when a high-altitude throwing event is detected, the danger warning signal being used to prompt the community personnel about the danger area caused by high-altitude throwing further comprises the following steps:

[0119] S51: obtaining the real-time position and speed of the thrown object when it is detected that an object is thrown from a building;

[0120] In addition, the embodiment can also use the radar detection device to predict the real-time position and speed and trajectory of the object thrown from the window. The specific method is to use the radar detection device to sample multiple times within a preset time, record the position and time of each object, and calculate the speed of the object according to the position and time of the object, and predict the trajectory of the object according to the speed of the object. Since the object thrown from the window is mainly affected by gravity and air resistance, and the acceleration of gravity is a known fixed value. Therefore, the air resistance can be estimated by the detected acceleration of the object, and then the future motion trajectory of the object can be estimated according to the acceleration of gravity, air resistance and the current speed of the object. In addition, the radar detection device can also be used to continuously detect the position, speed and acceleration of the object, and the estimated motion trajectory of the object can be corrected using the aforementioned detected data. In addition, the radar detection device can also detect the position of the thrown object twice or more times in succession to determine the direction of the object.

[0121] S52: generating a light reminding device control signal according to the real-time position and speed;

[0122] S53: controlling the light reminding device to project a reminding pattern on the ground, the center position of the reminding pattern being the same as the position of the vertical projection of the thrown object on the ground.

[0123] When the community personnel hear the sound of the high-altitude throwing after the sound reminder, they may not be able to avoid it in time because the position of the object may not change, or they may fail to avoid it because they cannot observe the surrounding obstacles during the avoidance process. To this end, when the high-altitude throwing detection device 20 detects the real-time position of the high-altitude throwing, the high-altitude throwing hazard warning device can also generate a projection image according to the detected real-time position of the high-altitude throwing, and control the light to project the image to the relevant area. The image has a reminding pattern 60 that moves in real time with the falling object 50, for example, the reminding pattern 60 can be a red circular pattern, and the center position of the pattern is the same as the projection position of the high-altitude throwing on the ground. In this way, the community personnel can determine the direction of avoidance according to the position, moving direction and moving speed of the prompting image in the projection image, and can adjust the direction of avoidance according to the changes of the position, moving direction and moving speed of the reminding image 60, thereby improving the possibility of successful avoidance.

[0124] In the embodiment, the S5: generating a hazard warning signal according to the predicted dangerous area when detecting the occurrence of the high-altitude throwing event, the hazard warning signal for prompting the community personnel about the dangerous area caused by the high-altitude throwing further comprises the following steps:

[0125] S501: obtaining the real-time position and speed of the thrown object when detecting that an object is thrown from the building;

[0126] This embodiment utilizes a radar detection device to perform multiple samples within a preset time period, recording the position and time of each object, and calculating the object's velocity based on the object's position and time.

[0127] S502: Predict the landing point of the projected object based on its position and velocity;

[0128] S503: Determine the danger zone based on the predicted landing point location;

[0129] Since people don't normally look up at what's above them, pedestrians are often unaware of objects being thrown from heights and are easily hit by falling objects. In this embodiment, the object-throwing detection device 20 predicts the landing point of the object after detecting it. Based on the predicted landing point, it designates a certain area within a certain range of the landing point as a predicted danger zone 30 and immediately sends a warning signal to nearby people, alerting them to the impending falling object and urging them to take precautions and protect themselves, thereby improving community safety.

[0130] S504: Control the lighting warning device to illuminate the hazardous area with a different color than the ground;

[0131] like Figure 7 As shown, the light warning device 30 is used to illuminate the danger zone 30 caused by objects thrown from a height with a preset color of light, so that the danger zone 30 reflects light of a different color than other areas. This embodiment can also use sound and light simultaneously to alert community residents. The color of the light can be a relatively obvious color, such as red. Using this method, even if residents don't look up, they can immediately know which areas are likely to be hit by objects thrown from a height. After the light illuminates the danger zone 30, people outside the danger zone 30 can move away from it, and people inside the danger zone 30 can move away from it. When the danger zone 30 is large, it may be difficult for people to determine the direction to avoid in a short time. Figure 9As shown, in this embodiment, the high-altitude object falling hazard early warning device determines the probability of each sub-region in the dangerous area 30 being dangerous according to the predicted high-altitude object falling point position, and then projects different colored lights onto each sub-region. In this way, the relevant personnel in the dangerous area 30 can move to the area with a low probability of danger to reduce the possibility of being hit by the high-altitude falling object 50. The probability of each sub-region being dangerous can be determined according to the position of the high-altitude object falling point, for example, the closer the area is to the falling point position, the higher the probability. In addition, in the case where the high-altitude object falling point position cannot be accurately determined, the probability of each sub-region being dangerous can also be determined according to the probability of the falling point position being located in each sub-region. In addition, the high-altitude object falling hazard early warning device can also control the light to project images guiding the movement direction or movement route of the personnel to avoid the high-altitude object falling. These images can use arrows to represent the direction of avoidance. In this way, the relevant personnel can learn the reasonable avoidance direction and avoidance route in a short time.

[0132] As shown in FIG. 1, the intelligent community system 1 includes the following steps: Figure 12 As shown, in order to protect the health of sensitive personnel in the community, the embodiment further includes the following steps:

[0133] S10: When detecting the presence of smoke in the intelligent community, obtaining the position and concentration of the smoke;

[0134] Pregnant women, infants, and patients with respiratory system diseases are more sensitive to smoke. However, in the case of low smoke concentration, these sensitive personnel cannot be timely discovered, and are easy to enter the area affected by the smoke, thereby causing harm to the physical and mental health of these personnel. For this purpose, the present application utilizes the position of the smoke and the concentration of the smoke of the intelligent smoke sensing subsystem.

[0135] S20: Obtaining environmental information around the smoke according to the position of the smoke;

[0136] The environmental information around the smoke includes the size of the space surrounded by the shielding object around the smoke, and the size of the area available for airflow circulation in the space.

[0137] S30: Obtaining the diffusion condition of the smoke according to the environmental information;

[0138] The larger the area available for airflow circulation in the space, the better the diffusion condition of the smoke.

[0139] S40: Determining the influence area and the continuous influence time of the smoke according to the position of the smoke, the concentration of the smoke, and the diffusion condition;

[0140] The greater the concentration of the smoke, the greater the affected area and the longer the duration of the effect, and the better the diffusion condition, the smaller the affected area and the shorter the duration of the effect. Experiments can be conducted at different concentrations and different diffusion conditions to determine the affected area and the duration of the effect of the smoke at different locations, different concentrations and different diffusion conditions. For example, experiments can be conducted at different concentrations of smoke in the relevant area, and the affected area, the duration of the effect and the diffusion range of the smoke at different concentrations at different locations in the community can be determined according to the results of the experiments.

[0141] S50: obtaining the location of the sensitive person in the community;

[0142] S60: producing corresponding warning information according to the location of the sensitive person in the community and the affected area and the duration of the effect of the smoke and sending the warning information to the corresponding sensitive person.

[0143] After the S60: producing corresponding warning information according to the location of the sensitive person in the community and the affected area and the duration of the effect of the smoke and sending the warning information to the corresponding sensitive person, the following step is further included:

[0144] S61: determining an avoidance route according to the affected area and the duration of the effect of the smoke;

[0145] S62: sending the avoidance route to a user terminal carried by the sensitive person;

[0146] The intelligent smoke sensing subsystem can send the affected area, the duration of the effect and the diffusion range of the smoke to the user terminals carried by the sensitive persons, so that the sensitive persons can avoid these areas in the corresponding time period. The user terminal includes a positioning device for positioning the location of the user terminal in the community. In addition, the intelligent smoke sensing system can also determine whether the sensitive persons are in or about to enter the affected area of the smoke according to the location information sent by the user terminal and the affected area, the duration of the effect and the diffusion range of the smoke, and send a prompt to the terminal device of the person in or about to enter the affected area of the smoke, prompting that the person is in or about to enter the affected area of the smoke. In addition, the intelligent smoke sensing system can also determine an avoidance route to avoid the effect of the smoke according to the location information sent by the user terminal and the affected area, the duration of the effect and the diffusion range of the smoke, and send the avoidance route to the relevant sensitive person.

[0147] S63: determining a potential danger area according to the affected area and the duration of the effect of the smoke;

[0148] The present embodiment can take the affected area of the smoke as the potential danger area.

[0149] S64: determining the passageway and the entering direction of the sensitive person from the current position to the potential danger area according to the sensitive person position and the potential danger area;

[0150] S65: obtaining the ID number of the electronic access control for controlling the passageway and the entering direction;

[0151] Since the electronic access control for controlling the passageway in the passageway of the smart community is arranged, the passageway and the entering direction of the sensitive person from the current position to the potential danger area can be controlled. In order to facilitate the control, an ID number can be allocated to each electronic access control.

[0152] S66: generating the permission instruction of prohibiting the corresponding sensitive person from passing through the corresponding electronic access control in the entering direction according to the ID number of the electronic access control and the entering direction;

[0153] For example, the sensitive person can enter the potential danger area from the current position through a passageway in a certain direction and pass through the electronic access control with the ID number 29. The permission of the sensitive person from the electronic access control with the ID number 29 in the foregoing direction can be set as the permission of prohibiting the passing through.

[0154] S67: controlling the opening state of the corresponding electronic access control according to the permission instruction, and the opening state includes the closing and the one-way closing.

[0155] If the permission is the permission of prohibiting the passing through, the opening state of the corresponding electronic access control for the user is the two-way closing, that is, the passageway in both directions is closed, or the one-way closing, that is, only the direction of entering the potential danger area is closed.

[0156] The embodiment controls the electronic access control, so that the electronic access control will not be opened when the sensitive person passes through the electronic access control in the entering direction. Thus, the sensitive person is prevented from entering the potential danger area by mistake.

[0157] In the embodiment, the control method further includes the following steps:

[0158] S71: obtaining a video image containing a pet as a target video image;

[0159] In this step, the video image containing the pet is selected from the video image collected by the first video collection device as the target video image.

[0160] S72: tracking the pet in the target video image;

[0161] S73: judging whether the pet is lost according to the continuous time of the pet staying outside the residential area in the target video image;

[0162] If the continuous time of the pet staying outside the residential area is too long and exceeds the set time value, it is judged that the pet is lost.

[0163] S74: if judging that the pet is lost, obtaining the membership relationship between the lost pet and the owner;

[0164] The specific judging method comprises the following steps: S741: obtaining, according to the video image containing the lost pet, personnel having a distance less than a first preset distance from the lost pet as first potential owners;

[0165] In this embodiment, the personnel having a distance less than a first preset distance from the lost pet in the video image are taken as the first potential owners.

[0166] S742: obtaining, according to the video image containing both the first potential owner and the lost pet, a time when the first potential owner has a distance less than the first preset distance from the lost pet;

[0167] In this step, the video image is analyzed to obtain the time when the first potential owner has a distance less than the first preset distance from the lost pet

[0168] S743: obtaining, according to the video image containing both the potential owner and the lost pet, a time when the first potential owner has a distance less than the first preset distance from the lost pet as a reference time;

[0169] S744: selecting, from the first potential owners, personnel having a reference time greater than a first preset time as second potential owners;

[0170] In this step, the first potential owners having a longer time together with the lost pet are selected for further analysis.

[0171] S745: obtaining a video image around the residence of the second potential owner;

[0172] S746: judging, according to the video image around the residence of the second potential owner, whether the lost pet stays around the residence of the second potential owner for more than a second preset time, and if so, taking the corresponding second potential owner as the owner to which the pet loss reminding information is sent.

[0173] In this step, the second potential owners can be analyzed in order from long to short reference time, the time when the lost pet stays around the residence of the second potential owner is obtained, and the owner having a longer time is selected as the owner most likely to be the owner of the lost pet.

[0174] S75: sending pet loss reminding information to the user terminal of the owner to which the lost pet belongs according to the membership relationship.

[0175] After the most likely pet owner is screened out, the pet loss reminder information is sent to the household terminal of the owner, reminding the user whether there is a pet loss recently. Through the foregoing method, the lost pet and the pet owner in the community can be quickly and accurately found.

[0176] As another implementation, the S74: if the pet is judged to be lost, the membership relationship between the lost pet and the owner is further acquired, and the method further comprises the following steps:

[0177] S7401: finding an image containing the lost pet from the video image collected by the first video image collection device as a second target image;

[0178] S7402: acquiring the house of the owner that the lost pet enters and exits and the number of times of entering and exiting the house of the owner;

[0179] S7403: if the number of times of entering and exiting the house of the owner exceeds a preset value, the owner of the house is regarded as the owner to which the reminder information is sent.

[0180] Since the number of times of entering and exiting the house of the owner exceeds the preset value, the reminder information can be sent to the owners.

[0181] In the embodiment, the control method further comprises the following steps:

[0182] S81: acquiring vehicle information of a vehicle entering the community;

[0183] The method of the embodiment can be implemented by using an intelligent parking management subsystem in the intelligent community management system, wherein the intelligent parking management subsystem comprises an intelligent parking management control center, an entering vehicle identification sub-device, and a parking space occupation detection device, and the parking space occupation detection device is used to detect the occupation of each parking space in the intelligent community.

[0184] The entering vehicle identification device is used to identify the vehicle information of the entering vehicle, and the vehicle identification device can identify the information of the vehicle by identifying the license plate number of the vehicle. The community owner can register the vehicle in advance, the intelligent parking management control center finds the corresponding owner information according to the measurement information to obtain the location information of the owner, such as the unit number of the owner. If the driver is a visitor, the owner can make an appointment for the visitor through the intelligent parking management control center, and input the license plate number of the visitor to the intelligent parking management control center through the user terminal.

[0185] S82: acquiring the residence location of the target owner according to the vehicle information;

[0186] After the license plate number of the vehicle is identified, the owner who lives or is visited is found as the target owner according to the license plate number, and then the location information of the owner is acquired.

[0187] S83: obtaining the parking position closest to the residence position from the parking lot as the ideal parking position according to the residence position;

[0188] The intelligent parking management control center determines the parking position closest to the residence position of the owner as the ideal parking position according to the vehicle information, and determines the recommended parking position according to the ideal parking position and the occupancy of the current parking position.

[0189] S84: detecting the occupancy of each parking position in the parking lot in the order from the ideal parking position, until an unoccupied parking position is detected, and taking the parking position as the target parking position;

[0190] S85: sending the position of the target parking position to the user terminal of the vehicle user.

[0191] The intelligent parking management control center preferably recommends a parking position closest to the residence position of the owner to the vehicle, and if the parking position is occupied, finds a parking position closest to the residence position of the owner from the unoccupied parking positions nearby as the recommended parking position. The intelligent parking management control center generates a recommended driving route according to the recommended parking position and the entry position of the vehicle, and sends the recommended parking position and the recommended driving route to the user terminal of the vehicle owner. In addition, the intelligent parking management control center can also send a route from the actual parking position to the residence position of the user to the user terminal according to the actual parking position of the vehicle or the residence position of the user. The foregoing method can enable the vehicle entering the community to quickly find a parking position, and enable the parking position to be as close as possible to the residence position of the owner or the residence position of the owner visited by the visitor, thereby greatly facilitating the user and solving the problem that the user, especially the visitor who is not familiar with the community environment, needs to spend a lot of time to find an idle parking position, or the parking position is too far away from the entrance of the residence unit.

[0192] Since the parking lot of the smart community is often located underground, the vehicle cannot receive a satellite positioning signal when driving in the parking lot. To this end, the embodiment further comprises the following steps after S84: detecting the occupancy of each parking position in the parking lot in the order from the ideal parking position, until an unoccupied parking position is detected, and taking the parking position as the target parking position.

[0193] S81: obtaining the position of the target parking position;

[0194] S82: obtaining the entry position of the vehicle into the community;

[0195] S83: generating a navigation route according to the entrance position of the parking lot and the position of the target parking space, the navigation route being a route for the vehicle to travel from the entrance position to the target parking position;

[0196] S84: obtaining a radio frequency signal emitted by a radio frequency emitting device on a corresponding parking space in the parking lot by a user terminal of a user of the vehicle during the travel of the vehicle in the parking lot, the effective distance of the radio frequency signal being within a first preset range;

[0197] In this embodiment, a corresponding radio frequency emitting device can be arranged above each parking space in the parking lot, and the radio frequency signal emitted by the radio frequency emitting device of each parking space includes the number of the parking space. The range in which the radio frequency signal emitted by each radio frequency device can be completely received by the radio frequency signal receiving device on the vehicle does not overlap.

[0198] S85: determining the real-time position of the vehicle in the parking lot according to the radio frequency signal;

[0199] In this step, the position of the parking space is found according to the number of the parking space in the radio frequency signal, and the position of the road in front of the parking space is taken as the real-time position of the vehicle in the parking lot. In this embodiment, the positions of the parking spaces with different numbers can be stored in advance, so that the position of the parking space can be quickly found by the number of the parking space.

[0200] S86: correcting the navigation route according to the real-time position of the vehicle in the parking lot and the target parking position.

[0201] After the real-time position of the vehicle in the parking lot is obtained by the method of the previous step, the navigation route can be corrected according to the real-time position.

[0202] In this embodiment, the target area can be monitored by the video perimeter according to the image of the video monitoring subsystem.

[0203] In this embodiment, the comprehensive security management subsystem includes a first distance-measurable wireless electronic fence and a second distance-measurable wireless electronic fence, and the method further includes the following steps:

[0204] S91: obtaining the distance of the target object detected by the first distance-measurable wireless electronic fence as a first distance;

[0205] S92: obtaining the distance of the target object detected by the second distance-measurable wireless electronic fence as a second distance;

[0206] The first distance and the second distance are respectively the distances between the target object and the signal receiving devices of the first distance-measurable wireless electronic fence and the second distance-measurable wireless electronic fence.

[0207] S93: determining the position of the target object in the reference direction according to the first distance and the second distance, the reference direction being the direction of the line connecting the signal receiving device of the first distance-measurable wireless electronic fence and the signal receiving device of the first distance-measurable wireless electronic fence;

[0208] In this step, a first circle is drawn with the signal receiving device of the first distance-measurable wireless electronic fence as the center and the first distance as the radius, and a second circle is drawn with the signal receiving device of the second distance-measurable wireless electronic fence as the center and the second distance as the radius, and a reference position is selected from the two intersection positions of the first circle and the second circle, and the reference position is projected on the reference direction, so as to obtain the position of the target in the reference direction.

[0209] S94: obtaining a video perimeter corresponding to the position of the target object in the reference direction according to the position of the target object in the reference direction.

[0210] The boundary of the monitoring area in the embodiment can be a three-dimensional boundary, which can be regarded as being composed of a series of continuous two-dimensional boundaries in the reference direction, and the corresponding position of the aforementioned two-dimensional boundary in the video image of the monitoring area is the aforementioned corresponding video perimeter when the video image of the monitoring area is obtained.

[0211] S95: obtaining a video image containing the target object and the corresponding video perimeter.

[0212] S96: judging whether the target object invades the boundary of the target monitoring area according to the relative position of the target object in the video image and the video perimeter.

[0213] When the video perimeter corresponding to the position of the target is found, if the target object invades into the video perimeter in the video image, it can be judged that the target object invades into the boundary of the target monitoring area, and vice versa.

[0214] The above is a detailed introduction to the smart community management system and the control method of the smart community management system provided by the embodiment of the present application.

[0215] It should be noted that the present application is not limited to the specific configurations and processes described above and shown in the drawings. For the sake of brevity, detailed descriptions of well-known methods are omitted herein. In the above embodiments, a number of specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order of the steps, after understanding the spirit of the present application.

[0216] The functional blocks shown in the structural block diagrams described above can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application specific integrated circuits (ASICs), appropriate firmware, plug-ins, functional cards, and the like. When implemented in software, the elements of the present application are program or code segments that are used to perform the required tasks. The program or code segments can be stored in a machine-readable medium or transmitted through a data signal carried in a carrier wave over a transmission medium or communication link. A "machine-readable medium" includes any medium that can store or transport information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, and the like. The code segments can be downloaded via computer networks such as the Internet, intranets, and the like.

[0217] It should also be noted that the exemplary embodiments mentioned in the present application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in an order different from that in the embodiments, or several steps can be performed simultaneously.

[0218] The above description is merely a specific implementation of the present application. Those skilled in the art can clearly understand the specific working processes of the above-described system, modules and units for the convenience and brevity of description, which can refer to the corresponding processes in the foregoing method embodiments, which will not be described here. It should be understood that the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed by the present application, and these modifications or replacements should be covered within the protection scope of the present application.

Claims

1. A smart community management system, characterized in that, The comprehensive control center, the intelligent device, and each of the sub-systems are communicatively connected through the Internet of Things; The comprehensive security management sub-system includes a comprehensive security management control center, a video monitoring subsystem, and a high-altitude object throwing prevention and control subsystem. The video monitoring subsystem is configured to collect video images of public areas in the smart community and analyze and process the collected video images. The comprehensive security management control center sends corresponding security measure information according to the analysis and processing results. The high-altitude object throwing prevention and control subsystem includes a high-altitude object throwing detection device and a high-altitude object throwing hazard warning device. The high-altitude object throwing detection device is configured to detect high-altitude object throwing events in the smart community. The high-altitude object throwing hazard warning device is configured to generate a hazard warning signal according to a predicted dangerous area when a high-altitude object throwing event is detected. The hazard warning signal is used to prompt community personnel about the dangerous area caused by high-altitude object throwing. The system further includes a pet management sub-system. The pet management sub-system includes a first video image collection device and a pet management control center. The first video image collection device is configured to collect video images of public areas in the community. The pet management control center is configured to filter video images containing pets from the video images collected by the first video collection device as target video images. The pet management control center is further configured to detect whether there is a pet lost and / or pet defecation and / or pet off-leash condition according to the target video images. If so, the pet management control center obtains the membership relationship between the lost pet and the owner, and sends a prompt message to the terminal of the owner of the pet according to the membership relationship. The membership relationship between the lost pet and the owner includes: Obtaining a person who is less than a first predetermined distance from the lost pet as a first potential owner based on the video image containing the lost pet; Obtaining a time when the first potential owner and the lost pet are less than a first predetermined distance apart based on the video image containing both the first potential owner and the lost pet; Obtaining a time when the first potential owner and the lost pet are less than a first predetermined distance apart as a reference time based on the video image containing both the potential owner and the lost pet; Selecting a person whose reference time is greater than a first predetermined time from the first potential owner as a second potential owner; Obtaining video images around the residence of the second potential owner; Determining whether the lost pet stays around the residence of the second potential owner for more than a second predetermined time based on the video images around the residence of the second potential owner. If so, the corresponding second potential owner is determined as the owner to whom the prompt message is sent.

2. The method of claim 1, wherein the method is performed by a smart community management system. A method for controlling the smart community management system of claim 1, the method comprising the following steps: S1: collecting video images of public areas in the smart community; S2: analyzing and processing the collected video images; S3: sending corresponding security measure information according to the analysis and processing results. S4: detecting high-altitude throwing events in the smart community; S5: generating a hazard warning signal according to the predicted dangerous area when a high-altitude throwing event is detected, the hazard warning signal being used to prompt the community personnel to the dangerous area caused by high-altitude throwing. 3.The control method of the smart community management system according to claim 2, characterized in that, The S5: generating a hazard warning signal according to the predicted dangerous area when a high-altitude throwing event is detected, the hazard warning signal being used to prompt the community personnel to the dangerous area caused by high-altitude throwing further comprises the following steps: S51: obtaining the real-time position and speed of the thrown object when detecting that an object is thrown from the building; S52: generating a light reminder device control signal according to the real-time position and speed; S53: controlling the light reminder device to project a reminder pattern on the ground, the center position of the reminder pattern being the same as the position of the vertical projection of the thrown object on the ground. 4.The control method of the smart community management system according to claim 2, wherein, The S5: generating a hazard warning signal according to the predicted dangerous area when a high-altitude throwing event is detected, the hazard warning signal being used to prompt the community personnel to the dangerous area caused by high-altitude throwing further comprises the following steps: S501: obtaining the real-time position and speed of the thrown object when detecting that an object is thrown from the building; S502: predicting the landing position of the thrown object according to the position and speed of the thrown object; S503: determining the dangerous area according to the predicted landing position; S504: controlling the light reminder device to irradiate the dangerous area with a color different from the ground. 5.The control method of the smart community management system according to claim 2, wherein, The method further comprises the following steps: S10: obtaining the position and concentration of the smoke when detecting that smoke appears in the smart community; S20: obtaining the environmental information around the smoke according to the position of the smoke; S30: obtaining the diffusion condition of the smoke according to the environmental information; S40: determining the influence area and the continuous influence time of the smoke according to the position of the smoke, the concentration of the smoke, and the diffusion condition; S50: obtaining the position of the sensitive personnel in the community; S60: producing corresponding warning information according to the position of the sensitive personnel in the community, the influence area of the smoke, and the continuous influence time of the smoke, and sending the warning information to the corresponding sensitive personnel. 6.The intelligent community management system control method of claim 5, wherein, After the S60: producing corresponding warning information according to the position of the sensitive personnel in the community, the influence area of the smoke, and the continuous influence time of the smoke, and sending the warning information to the corresponding sensitive personnel, the method further comprises the following steps: S61: determining an avoidance route according to the influence area and the continuous influence time of the smoke; S62: sending the avoidance route to the user terminal carried by the sensitive personnel; S63: determining a potential dangerous area according to the influence area and the continuous influence time of the smoke; S64: determining the passageway and the entering direction through which the sensitive personnel can enter the potential dangerous area from the current position according to the position of the sensitive personnel and the potential dangerous area; S65: obtaining the ID number of the electronic access control for controlling the passageway; S66: generating a permission instruction for prohibiting the corresponding sensitive personnel to pass through the corresponding electronic access control in the entering direction according to the ID number of the electronic access control and the entering direction; S67: controlling the opening state of the corresponding electronic access control according to the permission instruction, the opening state including bidirectional closing and unidirectional closing. 7.The control method of the smart community management system according to claim 2, wherein, The method further comprises the following steps: S71: obtaining a video image containing a pet as a target video image; S72: tracking the pet in the target video image; S73: judging whether the pet is lost according to a time that the pet in the target video image stays continuously outside a residential area; S74: obtaining a membership relationship between the lost pet and the owner if it is judged that the pet is lost; S75: sending pet-lost reminding information to a user terminal of the owner to which the lost pet belongs according to the membership relationship. 8.The intelligent community management system control method of claim 2, wherein, The method further comprises the following steps: S81: obtaining vehicle information entering a community; S82: obtaining a residential position of a target owner according to the vehicle information; S83: obtaining a parking position closest to the residential position from parking positions in a parking lot as an ideal parking position; S84: detecting occupancy states of parking positions in the parking lot in order from near to far to the ideal parking position until a parking position that is not occupied is detected, and taking the parking position as a target parking position; S85: sending a position of the target parking position to a user terminal of a vehicle user. 9.The intelligent community management system control method of claim 2, wherein, The comprehensive security management subsystem comprises a first distance-measurable wireless electronic fence and a second distance-measurable wireless electronic fence, and the method further comprises the following steps: S91: obtaining a distance of a target object detected by the first distance-measurable wireless electronic fence as a first distance; S92: obtaining a distance of the target object detected by the second distance-measurable wireless electronic fence as a second distance; S93: determining a position of the target object in a reference direction according to the first distance and the second distance; S94: obtaining a video perimeter corresponding to the position of the target object in the reference direction according to the position; S95: obtaining a video image containing the target object and the corresponding video perimeter; S96: judging whether the target object invades a boundary of a target monitoring area according to the video perimeter and a relative position of the target object in the video image.

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