A property management system based on the Internet of Things

Abstract

The present invention discloses a property management system based on the Internet of Things, comprising a data acquisition module, a garage management module and a door access management module. The data acquisition module is used to collect comprehensive data from sensors and input comprehensive visitor information and comprehensive owner information into the system. The garage management module is used to analyze the idle time of parking spaces in underground garages and the parking time of visitor vehicles, allocate parking spaces to visitors according to the above analysis results, analyze the vehicle positions and pedestrian positions in the underground garage, and adjust the lighting of the underground garage according to the analysis results. The door access management module is used to record comprehensive visitor information, identify user identity information entering a community, and determine whether the user can enter the community. The data acquisition module, the garage management module and the door access management module are electrically connected to each other. The data acquisition module comprises a sensor module and a user comprehensive information input module. The present invention has the characteristics of high accuracy and high safety factor.

Description

Technical Field

[0001] The present invention relates to the technical field of property management, and in particular to a property management system based on the Internet of Things. Background Art

[0002] With the rapid development of society, the number of permanent residents in my country's cities and towns is increasing, and the management of residential areas is becoming more and more difficult. Under this situation, intelligent property management systems have emerged.

[0003] At present, most property management systems use intelligent access control systems to manage communities and manage pedestrians and vehicles entering and leaving the communities. However, existing technologies often only record information about vehicles entering and leaving underground garages, and are unable to accurately analyze the idle time of parking spaces, and are unable to accurately and reasonably allocate parking spaces to strangers, resulting in the owner's parking space being occupied, and the owner of the stranger's vehicle cannot be contacted, which has a great impact on the owner's life. Moreover, the lighting control of existing technologies often only relies on timing control, photosensitive sensors and sound sensors for control. The response range of such sensors is relatively wide, which makes it impossible to accurately control the lighting of the underground garage, resulting in dim lighting in the underground garage and poor driver visibility. This is not only prone to vehicle scratches, but also has a low safety factor and causes energy waste. Therefore, it is very necessary to design a property management system based on the Internet of Things with high accuracy and high safety factor. Summary of the invention

[0004] The purpose of the present invention is to provide a property management system based on the Internet of Things to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a property management system based on the Internet of Things, including a data acquisition module, a garage management module and a door access management module, the data acquisition module is used to collect comprehensive data from sensors, and enter comprehensive visitor information and comprehensive owner information into the system, the garage management module is used to analyze the idle time of underground garage parking spaces, analyze the parking time of visitor vehicles, allocate parking spaces to visitors according to the above analysis results, analyze the vehicle positions and pedestrian positions in the underground garage, and adjust the lights in the underground garage according to the analysis results, the door access management module is used to record comprehensive visitor information, identify user identity information entering the community, and determine whether the user can enter the community, the data acquisition module, the garage management module and the door access management module are electrically connected to each other.

[0006] According to the above technical solution, the data acquisition module includes a sensor module and a user comprehensive information entry module. The sensor module is used to collect comprehensive data from various sensors, and the user comprehensive information entry module is used to enter visitor comprehensive information and owner comprehensive information into the system.

[0007] According to the above technical solution, the garage management module includes a parking space management module and a lighting management module, and the parking space management module is electrically connected to the lighting management module;

[0008] The parking space management module further includes a parking space vacancy analysis submodule and a parking space allocation submodule. The parking space vacancy analysis submodule is used to analyze the owner's historical garage entry and exit data and build a parking space vacancy model based on the above analysis results. The parking space allocation submodule is used to analyze the parking time of visitor vehicles and further analyze the idle time of the owner's parking space. According to the above analysis results, parking spaces are allocated to visitor vehicles and visitors are guided to park.

[0009] Among them, the above-mentioned lighting management module further includes a target detection submodule, a distance analysis submodule and a lighting control submodule. The target detection submodule is used to analyze the laser dot matrix data of the underground garage road to determine whether there are pedestrians or vehicles on the road. The distance analysis submodule is used to analyze the distance between the vehicle and the intersection, the distance between the pedestrian and the intersection and the effective coverage range of the light. The lighting control submodule is used to adjust the light according to the above-mentioned analysis results, and detect the current in the lighting rectifier to determine whether the light is normal.

[0010] According to the above technical solution, the access control management module includes a mobile terminal module, and the mobile terminal module is used for the owner to receive temporary parking space occupancy information and contact the visitor who occupies the parking space.

[0011] According to the above technical solution, the access control management module also includes an identity recognition module, which is used to recognize the user's identity and license plate information, and verify the user's identity information and license plate information.

[0012] According to the above technical solution, the operation method of the property management system includes the following steps:

[0013] Step S1: Through the sensor module, data from various sensors are collected in real time, including laser dot matrix data, light sensor data, current sensor data and visual sensor data of the underground garage. Through the user comprehensive information entry module, the owner comprehensive information and visitor comprehensive information are entered into the system. The visitor comprehensive information includes visitor contact information, visitor facial data, license plate information, and parking time. The owner comprehensive information includes the owner's license plate information, owner's facial data, and the owner's vehicle historical data of entering and exiting the garage.

[0014] Step S2: After the owner's vehicle's historical garage entry and exit data is entered, the system starts the parking space analysis submodule, starts analyzing the owner's vehicle's historical garage entry and exit data, builds a parking space vacancy model based on the analysis results, and predicts the parking space vacancy time;

[0015] Step S3: When the access control system recognizes the user information, the system starts the access control management module, starts to verify the identity of the user entering the community, and allocates an empty parking space to the user according to the verification result;

[0016] Step S4: When a vehicle enters the underground garage, the system starts the lighting management module and begins to analyze the location information of pedestrians and vehicles on the underground garage road. The lighting of the underground garage is adjusted according to the analysis results. When the owner's parking space is occupied, the system sends the occupied vehicle information to the owner's mobile terminal, and the owner contacts the owner of the occupied vehicle through the mobile terminal.

[0017] According to the above technical solution, step S2 further includes the following steps:

[0018] Step S21: Obtain the historical garage entry and exit data of the owner's vehicle, identify the period H in the garage entry and exit data of the owner's vehicle, classify the historical garage entry and exit data of the owner's vehicle according to the period H, identify the travel duration and corresponding travel date of the owner's vehicle within the period H, eliminate the data with the travel duration of the owner's vehicle within the period H greater than the maximum threshold or less than the minimum threshold, use the processed historical garage entry and exit data of the owner's vehicle as sample data, call the corresponding algorithm in the database, train the parking space vacancy model, and use the trained parking space vacancy model to predict the vacancy duration T1 of the target parking space;

[0019] Step S22: Obtain the travel duration and corresponding travel date of the owner's vehicle, identify the nature of the travel date, and identify the characteristics of the travel duration. According to the characteristics of the travel duration and the corresponding nature of the travel date, construct an influence relationship map of the nature of the travel date on the characteristics of the travel duration, and analyze the influence relationship map to obtain the influence coefficient α of the nature of the travel date on the idle time of the parking space. i The travel date properties include weekdays, weekends and holidays, and the recognition priorities are holidays, weekends, and weekdays.

[0020] According to the above technical solution, step S3 further includes the following steps:

[0021] Step S31: Obtain visual sensor data, identify the vehicle license plate in the visual image, and verify the vehicle license plate information. When the verification is successful, the system opens the gate to let the vehicle pass. When the verification fails, the vehicle license plate is marked as a visitor, and the corresponding contact information and parking time T2 are retrieved from the database according to the visitor's vehicle license plate;

[0022] Step S32: Obtain the vacancy status of the target parking space. If the target parking space is occupied, the system continues to detect. Otherwise, the real-time date is obtained, the nature of the real-time date is identified, and the corresponding parking space vacancy duration influence coefficient α in the database is retrieved according to the nature of the real-time date. i, obtain the target parking space idle time T1 predicted by the parking space idle model, and calculate the actual idle time T4 of the target parking space by the formula = α i ·λ·T1, where T4 represents the actual idle time of the target parking space, i=1,2,3, α1, α2, α3 represent the impact coefficients of the implementation date nature of holidays, weekends, and weekdays on the actual idle time of the target parking space, and λ represents the error coefficient of the actual idle time of the target parking space;

[0023] Step S33: obtain the time point F1 and the idle time when the target parking space is idle, obtain the visual sensor data, anchor the system to the timestamp F2 when the visitor's vehicle license plate is recognized, and calculate the remaining idle time of the target parking space through the formula T3=T4-(F2-F1), where T3 represents the remaining idle time of the target parking space, obtain the visitor's vehicle parking time T2, calculate the difference T3-T2 between the remaining idle time of the target parking space and the visitor's vehicle parking time, if T3-T2 is greater than the system-set threshold, mark the parking space as an alternative parking space, otherwise the system continues to detect, sorts the alternative parking spaces in ascending order according to the difference between T3-T2, selects the first-ranked parking space as the visitor's temporary parking space, marks the parking space in the visitor's mobile terminal, and guides the user to park through the mobile terminal.

[0024] According to the above technical solution, step S4 further includes the following steps:

[0025] Step S41: Acquire the light sensor data, identify the light intensity, and then call the corresponding basic mode in the database according to the light intensity to adjust the light intensity of the underground garage. At the same time, acquire the current sensor data, identify the current value in the lamp rectifier, and compare it with the database. If the current value in the lamp rectifier is less than the minimum threshold or greater than the maximum threshold, the lamp is marked as damaged, otherwise the system continues to detect;

[0026] Step S42: acquiring laser dot matrix data, identifying laser point clouds, constructing the target object contour of the target area according to the laser point clouds, identifying the object type according to the object contour, and when the target object contour is a pedestrian, acquiring the laser point cloud, identifying the pedestrian feature nodes in the laser point cloud, establishing a coordinate system, identifying the coordinates of the lamp and the pedestrian feature nodes, calculating the distance L1 between the lamps around the pedestrian and the pedestrian through a distance formula, acquiring the effective coverage range of the lamp, identifying the radius R of the effective coverage range, and if L1 is less than R, adjusting the lamp from the basic mode to the pedestrian mode, and if L1 is greater than R, adjusting the lamp from the pedestrian mode to the basic mode;

[0027] Step S43: obtaining a virtual model of the underground garage, marking the position of the pedestrian in the underground garage in the virtual model of the underground garage, identifying the distance L2 between the pedestrian and the center of the intersection, and when L2 is greater than a first threshold and less than a second threshold, maintaining the basic mode of the lamps above the intersection unchanged; when L2 is less than the first threshold, adjusting the lamps above the intersection to the enhanced mode; and when L2 is greater than the second threshold, adjusting the lamps back to the basic mode;

[0028] Step S44: When the target object outline is a vehicle, mark the vehicle in the virtual model of the underground garage, obtain light sensor data, and identify the status of the vehicle lights. If the vehicle lights are on, execute step A1, otherwise execute step A2.

[0029] According to the above technical solution, step S44 further includes the following steps:

[0030] Step A1: Identify the distance L3 between the vehicle and the center of the intersection. When L3 is less than the threshold set by the system, identify the distance L2 between the center of the intersection and the pedestrian. If L2 is less than the first threshold, keep the lights above the intersection in enhanced mode, that is, the priority of lighting control for pedestrians is higher than that for vehicles. Otherwise, adjust the lights above the intersection to driving mode.

[0031] Step A2: Identify the distance L3 between the vehicle and the center of the intersection. If L3 is less than the threshold set by the system, adjust the lamps above the intersection to the driving mode, otherwise adjust the lamps back to the basic mode;

[0032] Step A3: Obtain the laser dot matrix data above the parking space and identify the laser point cloud. When a vehicle is identified as parked in the parking space, the system sends parking space occupancy reminders to the owner in segments, and binds the visitor's vehicle license plate to the owner's mobile terminal. When the owner returns home and needs to park, if the visitor's vehicle has not left, the owner's mobile terminal obtains the user's vehicle visual image, identifies the vehicle license plate, retrieves the bound visitor contact information based on the vehicle license plate, and guides the owner to contact the visitor to move the vehicle.

[0033] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by analyzing the nature of the travel date and then analyzing the impact of the nature of the travel date on the owner's travel time, can further correct the predicted idle time of the parking space, and then obtain a more accurate idle time of the parking space, which greatly improves the accuracy of the system; by further analyzing the impact of the real-time date nature on the idle time of the target parking space, the idle time prediction of the target parking space can be made more accurate, and then more reasonable parking spaces can be allocated to visitors, avoiding visitors from frequently moving their cars, greatly improving the accuracy of the system and the experience of visitors; by further analyzing the remaining idle time of the target parking space, parking spaces can be accurately allocated to visitors, thereby improving the accuracy of the system's allocation of parking spaces, avoiding visitors from moving their cars and owners from having to wait for visitors to move their cars, thereby greatly improving the experience of visitors and owners; the light intensity of lamps can be adjusted by light sensors It can save electricity and detect the current value in the lamp rectifier at the same time. It can quickly determine whether the lamp is damaged and repair it, which greatly improves the efficiency of property management. By analyzing the effective lighting range of the lamp and then adjusting the lamp according to the distance between the pedestrian and the lamp, it can ensure that pedestrians are kept in good lighting, so that the driving driver can observe the pedestrians, thereby greatly improving the safety of the underground garage. By recognizing that the user is about to arrive at the intersection of the underground garage, the lights above the intersection are dimmed, which can avoid the strong lights in the underground garage, resulting in pedestrians being unable to observe the driving lights, causing danger to pedestrians, thereby greatly improving the safety factor of the underground garage. By binding the license plate of the visitor vehicle parked in the parking space with the owner's mobile terminal, the owner is the beneficiary, and the income is offset against the property fee. It can not only improve the utilization rate of parking space resources, but also reduce property expenses for the owner, thereby greatly improving the owner's satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0035] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1The present invention provides a technical solution: a property management system based on the Internet of Things, including a data acquisition module, a garage management module and a door access management module. The data acquisition module is used to collect comprehensive data from sensors and enter comprehensive visitor information and comprehensive owner information into the system. The garage management module is used to analyze the idle time of underground garage parking spaces, analyze the parking time of visitor vehicles, allocate parking spaces to visitors according to the above analysis results, analyze the vehicle positions and pedestrian positions in the underground garage, and adjust the lights in the underground garage according to the analysis results. The door access management module is used to record comprehensive visitor information, identify user identity information entering the community, and determine whether the user can enter the community. The data acquisition module, the garage management module and the door access management module are electrically connected to each other.

[0038] The data acquisition module includes a sensor module and a user comprehensive information entry module. The sensor module is used to collect comprehensive data from various sensors, and the user comprehensive information entry module is used to enter visitor comprehensive information and owner comprehensive information into the system.

[0039] The garage management module includes a parking space management module and a lighting management module, and the parking space management module is electrically connected to the lighting management module;

[0040] The parking space management module further includes a parking space vacancy analysis submodule and a parking space allocation submodule. The parking space vacancy analysis submodule is used to analyze the owner's historical garage entry and exit data, and to build a parking space vacancy model based on the above analysis results. The parking space allocation submodule is used to analyze the parking time of visitor vehicles, further analyze the idle time of the owner's parking space, allocate parking spaces for visitor vehicles based on the above analysis results, and guide visitors to park;

[0041] Among them, the above-mentioned lighting management module further includes a target detection submodule, a distance analysis submodule and a lighting control submodule. The target detection submodule is used to analyze the laser dot matrix data of the underground garage road to determine whether there are pedestrians or vehicles on the road. The distance analysis submodule is used to analyze the distance between the vehicle and the intersection, the distance between the pedestrian and the intersection and the effective coverage range of the light. The lighting control submodule is used to adjust the light according to the above analysis results, and detect the current in the lighting rectifier to determine whether the light is normal.

[0042] The access control management module includes a mobile terminal module, which is used for the owner to receive temporary parking space occupancy information and contact the visitor who occupies the parking space.

[0043] The access control management module also includes an identity recognition module, which is used to recognize the user's identity and license plate information and verify the user's identity information and license plate information.

[0044] The operation method of the property management system includes the following steps:

[0045] Step S1: Through the sensor module, data from various sensors are collected in real time, including laser dot matrix data, light sensor data, current sensor data and visual sensor data of the underground garage. Through the user comprehensive information entry module, the owner comprehensive information and visitor comprehensive information are entered into the system. The visitor comprehensive information includes visitor contact information, visitor facial data, license plate information, and parking time. The owner comprehensive information includes the owner's license plate information, owner's facial data, and the owner's vehicle historical data of entering and exiting the garage.

[0046] Step S2: After the owner's vehicle's historical garage entry and exit data is entered, the system starts the parking space analysis submodule, starts analyzing the owner's vehicle's historical garage entry and exit data, builds a parking space vacancy model based on the analysis results, and predicts the parking space vacancy time;

[0047] Step S3: When the access control system recognizes the user information, the system starts the access control management module, starts to verify the identity of the user entering the community, and allocates an empty parking space to the user according to the verification result;

[0048] Step S4: When a vehicle enters the underground garage, the system starts the lighting management module and begins to analyze the location information of pedestrians and vehicles on the underground garage road. The lighting of the underground garage is adjusted according to the analysis results. When the owner's parking space is occupied, the system sends the occupied vehicle information to the owner's mobile terminal, and the owner contacts the owner of the occupied vehicle through the mobile terminal.

[0049] Step S2 further comprises the following steps:

[0050] Step S21: Obtain the historical garage entry and exit data of the owner's vehicle, identify the period H in the garage entry and exit data of the owner's vehicle, classify the historical garage entry and exit data of the owner's vehicle according to the period H, identify the travel duration and corresponding travel date of the owner's vehicle within the period H, eliminate the data with the travel duration of the owner's vehicle within the period H greater than the maximum threshold or less than the minimum threshold, use the processed historical garage entry and exit data of the owner's vehicle as sample data, call the corresponding algorithm in the database, train the parking space vacancy model, and use the trained parking space vacancy model to predict the vacancy duration T1 of the target parking space;

[0051] Step S22: Obtain the travel duration and corresponding travel date of the owner's vehicle, identify the nature of the travel date, and identify the characteristics of the travel duration. According to the characteristics of the travel duration and the corresponding nature of the travel date, construct an influence relationship map of the nature of the travel date on the characteristics of the travel duration, and analyze the influence relationship map to obtain the influence coefficient α of the nature of the travel date on the idle time of the parking space. iThe nature of the travel date includes weekdays, weekends and holidays, and the recognition priority is holidays, weekends, and weekdays. By analyzing the nature of the travel date and then analyzing the impact of the nature of the travel date on the owner's travel time, the predicted parking space idle time can be further corrected, thereby obtaining a more accurate parking space idle time, which greatly improves the accuracy of the system.

[0052] Step S3 further comprises the following steps:

[0053] Step S31: Obtain visual sensor data, identify the vehicle license plate in the visual image, and verify the vehicle license plate information. When the verification is successful, the system opens the gate to let the vehicle pass. When the verification fails, the vehicle license plate is marked as a visitor, and the corresponding contact information and parking time T2 are retrieved from the database according to the visitor's vehicle license plate;

[0054] Step S32: Obtain the vacancy status of the target parking space. If the target parking space is occupied, the system continues to detect. Otherwise, the real-time date is obtained, the nature of the real-time date is identified, and the corresponding parking space vacancy duration influence coefficient α in the database is retrieved according to the nature of the real-time date. i , obtain the target parking space idle time T1 predicted by the parking space idle model, and calculate the actual idle time T4 of the target parking space by the formula = α i ·λ·T1, where T4 represents the actual idle time of the target parking space, i=1,2,3, α1, α2, α3 represent the influence coefficients of the implementation date nature of holidays, weekends, and weekdays on the actual idle time of the target parking space, and λ represents the error coefficient of the actual idle time of the target parking space. By further analyzing the influence of the real-time date nature on the idle time of the target parking space, the idle time prediction of the target parking space can be made more accurate, and then more reasonable parking spaces can be allocated to visitors to avoid visitors frequently moving their cars, which greatly improves the accuracy of the system and the experience of visitors;

[0055] Step S33: obtain the time point F1 and the idle time when the target parking space is idle, obtain the visual sensor data, anchor the timestamp F2 when the system recognizes the visitor's vehicle license plate, and calculate the remaining idle time of the target parking space through the formula T3=T4-(F2-F1), where T3 represents the remaining idle time of the target parking space, obtain the visitor's vehicle parking time T2, calculate the difference T3-T2 between the remaining idle time of the target parking space and the visitor's vehicle parking time, if T3-T2 is greater than the system set threshold, then mark the parking space as an alternative parking space, otherwise the system continues to detect, sorts the alternative parking spaces in ascending order according to the difference between T3-T2, selects the first-ranked parking space as the temporary parking space for the visitor, marks the parking space in the visitor's mobile terminal, and guides the user to park through the mobile terminal, by further analyzing the remaining idle time of the target parking space, the visitor can be accurately allocated a parking space, thereby improving the accuracy of the system's allocation of parking spaces, avoiding visitors from moving their cars and owners from waiting for visitors to move their cars, thereby greatly improving the experience of visitors and owners.

[0056] Step S4 further comprises the following steps:

[0057] Step S41: Acquire light sensor data, identify light intensity, and then call the corresponding basic mode in the database according to the light intensity to adjust the light intensity of the underground garage. At the same time, acquire current sensor data, identify the current value in the lamp rectifier, and compare with the database. If the current value in the lamp rectifier is less than the minimum threshold or greater than the maximum threshold, the lamp is marked as damaged. Otherwise, the system continues to detect. Regulating the light intensity of the lamp through the light sensor can save energy. At the same time, detecting the current value in the lamp rectifier can quickly determine whether the lamp is damaged and repair it, greatly improving the efficiency of property management.

[0058] Step S42: acquiring laser dot matrix data, identifying laser point cloud, constructing the target object contour of the target area according to the laser point cloud, identifying the object type according to the object contour, and when the target object contour is a pedestrian, acquiring the laser point cloud, identifying the pedestrian feature node in the laser point cloud, establishing a coordinate system, identifying the coordinates of the lamp and the pedestrian feature node, calculating the distance L1 between the lamp around the pedestrian and the pedestrian through the distance formula, acquiring the effective coverage range of the lamp, identifying the radius R of the effective coverage range, if L1 is less than R, adjusting the lamp from the basic mode to the pedestrian mode, and if L1 is greater than R, adjusting the lamp from the pedestrian mode to the basic mode, analyzing the effective illumination range of the lamp, and then adjusting the lamp according to the distance between the pedestrian and the lamp, it can ensure that the pedestrian is kept in good lighting, so that the driving driver can observe the pedestrian, thereby greatly improving the safety of the underground garage;

[0059] Step S43: Obtain the virtual model of the underground garage, mark the position of the pedestrian in the underground garage in the virtual model of the underground garage, identify the distance L2 between the pedestrian and the center of the intersection, and when L2 is greater than the first threshold and less than the second threshold, keep the lamps above the intersection in the basic mode; when L2 is less than the first threshold, adjust the lamps above the intersection to the enhanced mode; when L2 is greater than the second threshold, adjust the lamps back to the basic mode. By identifying that the user is about to arrive at the intersection of the underground garage, dimming the lights above the intersection can avoid the strong lights in the underground garage, which makes it impossible for pedestrians to observe the driving lights and cause danger to pedestrians, thereby greatly improving the safety factor of the underground garage;

[0060] Step S44: When the target object outline is a vehicle, mark the vehicle in the virtual model of the underground garage, obtain light sensor data, and identify the status of the vehicle lights. If the vehicle lights are on, execute step A1, otherwise execute step A2.

[0061] Step S44 further includes the following steps:

[0062] Step A1: Identify the distance L3 between the vehicle and the center of the intersection. When L3 is less than the threshold set by the system, identify the distance L2 between the center of the intersection and the pedestrian. If L2 is less than the first threshold, keep the lights above the intersection in enhanced mode, that is, the priority of lighting control for pedestrians is higher than that for vehicles. Otherwise, adjust the lights above the intersection to driving mode.

[0063] Step A2: Identify the distance L3 between the vehicle and the center of the intersection. If L3 is less than the threshold set by the system, adjust the lamps above the intersection to the driving mode, otherwise adjust the lamps back to the basic mode;

[0064] Step A3: Acquire the laser dot matrix data above the parking space and identify the laser point cloud. When a vehicle is identified as parked in the parking space, the system sends parking space occupancy reminders to the owner in segments, and binds the visitor's vehicle license plate to the owner's mobile terminal. When the owner goes home and needs to park, if the visitor's vehicle has not left, the owner's mobile terminal obtains the user's vehicle visual image and identifies the vehicle license plate. According to the vehicle license plate, the bound visitor contact information is retrieved to guide the owner to contact the visitor to move the vehicle. By binding the visitor's vehicle license plate parked in the parking space with the owner's mobile terminal, the owner becomes the beneficiary and the income is offset against the property fee. This can not only improve the utilization rate of parking space resources, but also reduce the property expenditure of the owner, thereby greatly improving the owner's satisfaction.

[0065] It should be noted that, in this article, the parking space idle time and the owner's travel time refer to the same thing, and relational 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 order between these entities or operations. Moreover, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device that includes a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0066] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A property management system based on the Internet of Things, including a data acquisition module, a garage management module and an access control management module, characterized in that: The data acquisition module is used to collect comprehensive data from sensors and input comprehensive visitor information and comprehensive owner information into the system. The garage management module is used to analyze the idle time of underground garage parking spaces and the parking time of visitor vehicles, allocate parking spaces to visitors based on the above analysis results, analyze the vehicle positions and pedestrian positions in the underground garage, and adjust the lights in the underground garage based on the analysis results. The access control management module is used to record comprehensive visitor information, identify the identity information of users entering the community, and determine whether users can enter the community. The data acquisition module, garage management module and access control management module are electrically connected to each other; The data acquisition module includes a sensor module and a user comprehensive information entry module. The sensor module is used to collect comprehensive data from various sensors, and the user comprehensive information entry module is used to enter visitor comprehensive information and owner comprehensive information into the system; The garage management module includes a parking space management module and a lighting management module, and the parking space management module is electrically connected to the lighting management module; The parking space management module further includes a parking space vacancy analysis submodule and a parking space allocation submodule. The parking space vacancy analysis submodule is used to analyze the owner's historical garage entry and exit data and build a parking space vacancy model based on the above analysis results. The parking space allocation submodule is used to analyze the parking time of visitor vehicles and further analyze the idle time of the owner's parking space. According to the above analysis results, parking spaces are allocated to visitor vehicles and visitors are guided to park. The lighting management module further includes a target detection submodule, a distance analysis submodule and a lighting control submodule. The target detection submodule is used to analyze the laser dot matrix data of the underground garage road to determine whether there are pedestrians or vehicles on the road. The distance analysis submodule is used to analyze the distance between the vehicle and the intersection, the distance between the pedestrian and the intersection and the effective coverage of the light. The lighting control submodule is used to adjust the light according to the above analysis results, and detect the current in the lighting rectifier to determine whether the light is normal. The access control management module includes a mobile terminal module, which is used for the owner to receive temporary parking space occupation information and contact the visitor who occupies the parking space; The access control management module also includes an identity recognition module, which is used to identify the user's identity and license plate information and verify the user's identity information and license plate information; The operation method of the property management system comprises the following steps: Step S1: Through the sensor module, data from various sensors are collected in real time, including laser dot matrix data, light sensor data, current sensor data and visual sensor data of the underground garage. Through the user comprehensive information entry module, the owner comprehensive information and visitor comprehensive information are entered into the system. The visitor comprehensive information includes visitor contact information, visitor facial data, license plate information, and parking time. The owner comprehensive information includes the owner's license plate information, owner's facial data, and the owner's vehicle historical data of entering and exiting the garage. Step S2: After the owner's vehicle's historical garage entry and exit data is entered, the system starts the parking space analysis submodule, starts analyzing the owner's vehicle's historical garage entry and exit data, builds a parking space vacancy model based on the analysis results, and predicts the parking space vacancy time; Step S3: When the access control system recognizes the user information, the system starts the access control management module, starts to verify the identity of the user entering the community, and allocates an empty parking space to the user according to the verification result; Step S4: When a vehicle enters the underground garage, the system starts the lighting management module and starts to analyze the location information of pedestrians and vehicles on the underground garage road. The lighting of the underground garage is adjusted according to the analysis results. When the owner's parking space is occupied, the system sends the occupied vehicle information to the owner's mobile terminal, and the owner contacts the owner of the occupied vehicle through the mobile terminal. The step S2 further comprises the following steps: Step S21: Obtain the historical garage entry and exit data of the owner's vehicle, identify the period H in the garage entry and exit data of the owner's vehicle, classify the historical garage entry and exit data of the owner's vehicle according to the period H, identify the travel duration and corresponding travel date of the owner's vehicle within the period H, eliminate the data with the travel duration of the owner's vehicle within the period H greater than the maximum threshold or less than the minimum threshold, use the processed historical garage entry and exit data of the owner's vehicle as sample data, call the corresponding algorithm in the database, train the parking space vacancy model, and use the trained parking space vacancy model to predict the vacancy duration T1 of the target parking space; Step S22: Obtain the travel duration and corresponding travel date of the owner's vehicle, identify the nature of the travel date, and identify the characteristics of the travel duration. According to the characteristics of the travel duration and the corresponding nature of the travel date, construct an influence relationship map of the nature of the travel date on the characteristics of the travel duration, and analyze the influence relationship map to obtain the influence coefficient α of the nature of the travel date on the idle time of the parking space. i , the travel date nature includes weekdays, weekends and holidays, and the recognition priority is holidays, weekends, and weekdays; The step S3 further comprises the following steps: Step S31: Obtain visual sensor data, identify the vehicle license plate in the visual image, and verify the vehicle license plate information. When the verification is successful, the system opens the gate to let the vehicle pass. When the verification fails, the vehicle license plate is marked as a visitor, and the corresponding contact information and parking time T2 are retrieved from the database according to the visitor's vehicle license plate; Step S32: Obtain the vacancy status of the target parking space. If the target parking space is occupied, the system continues to detect. Otherwise, the real-time date is obtained, the nature of the real-time date is identified, and the corresponding parking space vacancy duration influence coefficient α in the database is retrieved according to the nature of the real-time date. i , obtain the target parking space idle time T1 predicted by the parking space idle model, and calculate the actual idle time T4 of the target parking space by the formula = α i ·λ·T1, where T4 represents the actual idle time of the target parking space, i=1,2,3, α1, α2, α3 represent the impact coefficients of the implementation date nature of holidays, weekends, and weekdays on the actual idle time of the target parking space, and λ represents the error coefficient of the actual idle time of the target parking space; Step S33: obtain the time point F1 and the idle time when the target parking space is idle, obtain the visual sensor data, anchor the system to the timestamp F2 when the visitor's vehicle license plate is recognized, and calculate the remaining idle time of the target parking space through the formula T3=T4-(F2-F1), where T3 represents the remaining idle time of the target parking space, obtain the visitor's vehicle parking time T2, calculate the difference T3-T2 between the remaining idle time of the target parking space and the visitor's vehicle parking time, if T3-T2 is greater than the system-set threshold, mark the parking space as an alternative parking space, otherwise the system continues to detect, sorts the alternative parking spaces in ascending order according to the difference between T3-T2, selects the first-ranked parking space as the visitor's temporary parking space, marks the parking space in the visitor's mobile terminal, and guides the user to park through the mobile terminal.

2. According to claim 1, a property management system based on the Internet of Things is characterized by: The step S4 further comprises the following steps: Step S41: Acquire the light sensor data, identify the light intensity, and then call the corresponding basic mode in the database according to the light intensity to adjust the light intensity of the underground garage. At the same time, acquire the current sensor data, identify the current value in the lamp rectifier, and compare it with the database. If the current value in the lamp rectifier is less than the minimum threshold or greater than the maximum threshold, the lamp is marked as damaged, otherwise the system continues to detect; Step S42: acquiring laser dot matrix data, identifying laser point clouds, constructing the target object contour of the target area according to the laser point clouds, identifying the object type according to the object contour, and when the target object contour is a pedestrian, acquiring the laser point cloud, identifying the pedestrian feature nodes in the laser point cloud, establishing a coordinate system, identifying the coordinates of the lamp and the pedestrian feature nodes, calculating the distance L1 between the lamps around the pedestrian and the pedestrian through a distance formula, acquiring the effective coverage range of the lamp, identifying the radius R of the effective coverage range, and if L1 is less than R, adjusting the lamp from the basic mode to the pedestrian mode, and if L1 is greater than R, adjusting the lamp from the pedestrian mode to the basic mode; Step S43: obtaining a virtual model of the underground garage, marking the position of the pedestrian in the underground garage in the virtual model of the underground garage, identifying the distance L2 between the pedestrian and the center of the intersection, and when L2 is greater than a first threshold and less than a second threshold, maintaining the basic mode of the lamps above the intersection unchanged; when L2 is less than the first threshold, adjusting the lamps above the intersection to the enhanced mode; and when L2 is greater than the second threshold, adjusting the lamps back to the basic mode; Step S44: when the target object outline is a vehicle, mark the vehicle in the virtual model of the underground garage, obtain light sensor data, and identify the status of the vehicle lights. If the vehicle lights are on, execute step A1, otherwise execute step A2; The step S44 further comprises the following steps: Step A1: Identify the distance L3 between the vehicle and the center of the intersection. When L3 is less than the threshold set by the system, identify the distance L2 between the center of the intersection and the pedestrian. If L2 is less than the first threshold, keep the lights above the intersection in enhanced mode, that is, the priority of lighting control for pedestrians is higher than that for vehicles. Otherwise, adjust the lights above the intersection to driving mode. Step A2: Identify the distance L3 between the vehicle and the center of the intersection. If L3 is less than the threshold set by the system, adjust the lamps above the intersection to the driving mode, otherwise adjust the lamps back to the basic mode; Step A3: Obtain the laser dot matrix data above the parking space and identify the laser point cloud. When a vehicle is identified as parked in the parking space, the system sends parking space occupancy reminders to the owner in segments, and binds the visitor's vehicle license plate to the owner's mobile terminal. When the owner returns home and needs to park, if the visitor's vehicle has not left, the owner's mobile terminal obtains the user's vehicle visual image, identifies the vehicle license plate, retrieves the bound visitor contact information based on the vehicle license plate, and guides the owner to contact the visitor to move the vehicle.

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