A community service information management method and system

Abstract

This application relates to the field of community service technology, and in particular to a method and system for information management of community services. The method includes: acquiring real-time parking garage conditions and information; analyzing the real-time parking garage conditions and information to obtain road occupancy and traffic conditions; determining whether pedestrians exist in the real-time parking garage conditions; if so, obtaining pedestrian information; obtaining road interference conditions based on the pedestrian information and the parking garage information; acquiring resident information; determining navigation information based on the road occupancy, traffic conditions, resident information, and parking garage information; acquiring the lighting layout in the parking garage; and adjusting the lighting based on the lighting layout, road interference conditions, and navigation information to provide navigation reminders. This method can detect road interference and traffic conditions in real time, adjust lighting accordingly, reduce energy waste, help residents drive more safely, and provide real-time reminders of potential road interference.

Description

Technical Field

[0001] The present application relates to the field of community service technology, and in particular to a community service information management method and system. Background Art

[0002] Community service informatization is to conduct a comprehensive analysis of data from multiple dimensions in the community, solve practical problems that cannot be solved or have not been solved by people in community management, and improve the sophistication of community management, thereby creating a management method for community operation signs, situation monitoring and analysis, event management, decision support and joint command capabilities.

[0003] In the community's underground garage, there is no gathering area for people. Keeping the lighting on all the time causes energy waste, while keeping it off all the time is not conducive to driving safety. Therefore, how to realize intelligent lighting control function to guide driving in the underground garage, ensure traffic safety in the community and improve the residents' experience has become a top priority of community services. Summary of the invention

[0004] The present application provides a community service information management method and system to solve the above problems.

[0005] In a first aspect, the present application provides a community service information management method and system, the method comprising: obtaining real-time underground parking conditions and underground parking information; analyzing the real-time underground parking conditions and underground parking information to obtain road occupancy conditions and traffic conditions;

[0006] Determine whether there are pedestrians in the real-time underground parking situation; if there are pedestrians, obtain pedestrian conditions; obtain road interference conditions based on the pedestrian conditions and the underground parking information;

[0007] Acquire resident information; determine navigation information based on the road occupancy situation, the traffic situation, the resident information and the basement information;

[0008] The lighting layout in the basement is obtained; and the lighting is adjusted according to the lighting layout, the road interference situation and the navigation information to realize the navigation reminder.

[0009] Through the above technical solution, it is possible to accurately analyze road occupancy and traffic conditions, detect road interference and driving in real time, and perform dynamic lighting; adjust lighting according to real-time conditions, and provide lighting reminders to provide instant feedback for driving safety, reduce energy waste, and help residents drive more safely. The real-time reminder function can inform residents of potential road interference, improve driving safety awareness, and provide rich data support for community service information management, facilitating more scientific management and decision-making.

[0010] Optionally, obtaining the road interference situation according to the pedestrian situation and the underground parking information includes:

[0011] Analyze the pedestrian situation to determine the pedestrian behavior, the pedestrian's current location, and the pedestrian's current speed;

[0012] Determining a current acceleration of the pedestrian based on the pedestrian behavior;

[0013] Analyze the basement information to obtain road layout;

[0014] Analyze the pedestrian behavior and road layout to predict the pedestrian turning angle;

[0015] Obtaining a predicted position of a pedestrian according to the current acceleration, the steering angle, the current position and the current speed;

[0016] determining whether the predicted position of the pedestrian interferes with the navigation information;

[0017] If there is interference, the predicted position of the pedestrian is taken as the road interference situation.

[0018] Through the above technical solution, the position and behavior of pedestrians can be predicted in real time, providing a basis for achieving lighting coverage at the location of pedestrians and following the lighting coverage range. It can also provide a basis for timely reminding drivers to pay attention and avoid collision accidents. In this way, the community underground garage can handle pedestrian situations intelligently, ensure traffic safety, improve residents' experience, and provide a basis for two-way safety of pedestrians and vehicles.

[0019] Optionally, the predicted position of the pedestrian is obtained according to the current acceleration, the steering angle, the current position and the current speed, referring to the following formula:

[0020] ;

[0021] in, predicting a position for the pedestrian; is the current position of the pedestrian; is the current speed of the pedestrian; is the current acceleration of the pedestrian; is the time interval; is the unit vector after the pedestrian turns; is the turning angle of the pedestrian.

[0022] Through the above technical solution, the position of the pedestrian can be accurately and objectively calculated and predicted in real time through the pedestrian's current position, current speed and current acceleration, so as to timely remind the driver to pay attention and avoid collision accidents.

[0023] Optionally, determining navigation information according to the road occupancy condition, the traffic condition, the resident information and the basement information includes:

[0024] Parse the resident information to obtain the resident's building and license plate number;

[0025] Parse the basement information to obtain road layout, community building layout, and parking space information;

[0026] Determine the building location of the resident building according to the community building layout and the resident building;

[0027] Determine the target parking space based on the building location, license plate number and parking space information;

[0028] Determining the remaining road width according to the basement information, the road occupancy situation and the traffic situation;

[0029] Obtaining road congestion conditions according to the remaining road width;

[0030] Navigation information is determined based on the target parking space, road layout and the road congestion condition.

[0031] Through the above technical solution, real-time navigation information is generated based on the dynamic path planning algorithm to guide vehicles to enter the target parking space safely and efficiently, so as to reduce the walking distance of residents in the garage and make the customer's parking space as close to the residents' building as possible. By detecting the activity of the vehicle in real time, the light can be adjusted to the real-time position of the vehicle to be always on, and the light coverage range can be transferred with the vehicle, which reduces the opening of unnecessary lights, avoids energy waste, and ensures driving safety.

[0032] Optionally, the resident information further includes: vehicle type and driving habits; and adjusting the lighting to achieve navigation reminders according to the lighting layout, the road interference conditions and the navigation information, including:

[0033] Analyze the navigation information to obtain the current speed and position of the vehicle;

[0034] Obtaining a vehicle warning range according to the current speed of the vehicle, the vehicle type and the driving habits;

[0035] Determine a dangerous area when the vehicle is traveling according to the vehicle warning range and the current position of the vehicle;

[0036] Determining the lighting coverage according to the hazardous area and the lighting layout;

[0037] Determining a light flashing frequency according to the road interference condition and the light coverage range;

[0038] According to the light coverage and the light flashing frequency, the light is adjusted to achieve navigation reminder.

[0039] Through the above technical solution, different vehicle warning ranges are set according to different types of vehicles and corresponding driving habits, the current position of the vehicle is calculated in real time and the dangerous area is updated. The lighting coverage is dynamically adjusted based on the current position of the vehicle during dynamic driving to reduce energy waste and reduce operating costs. When road interference affects driving, the lights can be controlled to flash to provide navigation reminders, thereby reducing the occurrence of underground parking collision accidents and improving pedestrian driving safety.

[0040] Optionally, obtaining the vehicle alert range according to the current speed of the vehicle, the vehicle type and the driving habit includes:

[0041] Obtaining a braking distance according to the current speed of the vehicle and a preset braking acceleration of the vehicle;

[0042] Obtaining a weight of the braking distance according to the vehicle type and the driving habit;

[0043] Obtaining a warning range in a direction of vehicle travel according to the braking distance and a weight of the braking distance;

[0044] The vehicle warning range is obtained according to the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-traveling direction.

[0045] Through the above technical solution, the relationship between vehicle type, driving habits and vehicle braking distance is established, and thus a reliable warning range setting in the direction of vehicle travel is obtained; then, during driving, due to the difference in danger level between the driving direction and the non-driving direction, the warning distance is distinguished, and a vehicle warning range with a warning tendency area is enclosed.

[0046] Optionally, the braking distance is obtained according to the current speed of the vehicle and the preset braking acceleration of the vehicle, referring to the following formula:

[0047] ;

[0048] in, is the braking distance; is the current speed of the vehicle; is the preset braking acceleration of the vehicle;

[0049] The weight of the braking distance is obtained according to the vehicle type and the driving habit, referring to the following formula:

[0050] ;

[0051] in, is the weight of the braking distance; The braking distance weights for the preset vehicle type and the preset driving habits; is the correction factor for the vehicle type; is the correction factor of the driving habit;

[0052] The warning range in the direction of vehicle travel is obtained according to the braking distance and the weight of the braking distance, referring to the following formula:

[0053] ;

[0054] in, is the warning range in the direction of vehicle travel; is the weight of the braking distance; is the braking distance; is the error correction amount of the warning range in the direction of vehicle travel;

[0055] The vehicle warning range is obtained according to the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-traveling direction, referring to the following formula:

[0056] ;

[0057] in, is the vehicle warning range; is the warning range in the direction of vehicle travel; The warning range in the non-traveling direction of the vehicle; is the angle of the vehicle's travel direction.

[0058] Through the above technical solution, the difference between the warning range in the direction of vehicle travel and the warning range in the non-travel direction of the vehicle is used to enclose a complete vehicle warning range, and provide reminders for pedestrians when they enter the vehicle's dangerous area, providing effective data support, without the need to set various parameters unilaterally based on experience, effectively reducing traffic accidents in underground garages and effectively reducing energy waste.

[0059] Optionally, the dangerous area when the vehicle is traveling is determined according to the vehicle warning range and the current position of the vehicle, referring to the following formula:

[0060] ;

[0061] in, The dangerous area when the vehicle is driving; Any position; is the current position of the vehicle; is the vehicle warning range.

[0062] Through the above technical solution, through real-time tracking and dangerous area calculation, specific values ​​can be divided for the dangerous area when the vehicle is driving, reducing the risk of vehicle collision, so that potential dangers can be warned in time and the safety of pedestrians and vehicles can be improved.

[0063] Optionally, the determining whether the predicted position of the pedestrian interferes with the navigation information includes:

[0064] According to the current position of the vehicle and the predicted position of the pedestrian, the distance between the predicted position of the pedestrian and the current position of the vehicle is obtained, referring to the following formula:

[0065] ;

[0066] in, predicting a position for the pedestrian; is the current position of the vehicle; The predicted position of the pedestrian coordinate; The predicted position of the pedestrian coordinate; is the current position of the vehicle coordinate; is the current position of the vehicle coordinate;

[0067] like , then the pedestrian predicted position The danger zone when the vehicle is driving Inside;

[0068] The pedestrian predicted position The danger zone when the vehicle is driving The predicted position of the pedestrian is used as the judgment result that the navigation information is interfered with.

[0069] Through the above technical scheme and the method provided by this embodiment, by real-time monitoring of the current positions of pedestrians and vehicles and issuing reminders, collisions between vehicles and pedestrians can be effectively avoided and driving safety can be improved. Combined with the predicted position of pedestrians and the current position of vehicles, the intelligent lighting control system can turn on or off the lights according to actual needs. When pedestrians appear in the dangerous area of ​​the vehicle, the lights can be controlled to flash, realizing two-way reminders for pedestrians and vehicles, while in areas without pedestrians and vehicles, the lights are kept off to save energy.

[0070] In a second aspect, the present application provides a community service information management method and system, the system comprising: a basement determination module for obtaining real-time basement conditions and basement information; analyzing the real-time basement conditions and the basement information to obtain road occupancy conditions and traffic conditions;

[0071] A pedestrian determination module is used to determine whether there are pedestrians in the real-time underground parking situation; if there are pedestrians, the pedestrian situation is obtained; and the road interference situation is obtained according to the pedestrian situation and the underground parking information;

[0072] A navigation determination module, used to obtain resident information; determine navigation information according to the road occupancy situation, the traffic situation, the resident information and the basement information;

[0073] The reminder determination module is used to obtain the lighting layout in the basement; according to the lighting layout, the road interference situation and the navigation information, the lighting is adjusted to achieve navigation reminder.

[0074] Optionally, the pedestrian determination module is specifically used to: analyze the pedestrian situation, determine the pedestrian behavior, the pedestrian's current position and the pedestrian's current speed;

[0075] Determining a current acceleration of the pedestrian based on the pedestrian behavior;

[0076] Analyze the basement information to obtain road layout;

[0077] Analyze the pedestrian behavior and road layout to predict the pedestrian turning angle;

[0078] Obtaining a predicted position of a pedestrian according to the current acceleration, the steering angle, the current position and the current speed;

[0079] determining whether the predicted position of the pedestrian interferes with the navigation information;

[0080] If there is interference, the predicted position of the pedestrian is taken as the road interference situation.

[0081] Optionally, the pedestrian determination module is specifically used to obtain a predicted pedestrian position according to the current acceleration, the steering angle, the current position and the current speed, referring to the following formula:

[0082] ;

[0083] in, predicting a position for the pedestrian; is the current position of the pedestrian; is the current speed of the pedestrian; is the current acceleration of the pedestrian; is the time interval; is the unit vector after the pedestrian turns; is the pedestrian turning angle;

[0084] Optionally, the navigation determination module is specifically used to: parse the resident information to obtain the resident building and license plate number;

[0085] Parse the basement information to obtain road layout, community building layout, and parking space information;

[0086] Determine the building location of the resident building according to the community building layout and the resident building;

[0087] Determine the target parking space based on the building location, license plate number and parking space information;

[0088] Determining the remaining road width according to the basement information, the road occupancy situation and the traffic situation;

[0089] Obtaining road congestion conditions according to the remaining road width;

[0090] Determine navigation information based on target parking space, road layout and road congestion

[0091] Optionally, the reminder determination module is specifically used for: the resident information also includes: vehicle type and driving habits; the basement information also includes: lighting layout;

[0092] Analyze the navigation information to obtain the current speed and position of the vehicle;

[0093] Obtaining a vehicle warning range according to the current speed of the vehicle, the vehicle type and the driving habits;

[0094] Determine a dangerous area when the vehicle is traveling according to the vehicle warning range and the current position of the vehicle;

[0095] Determining the lighting coverage according to the hazardous area and the lighting layout;

[0096] Determining a light flashing frequency according to the road interference condition and the light coverage range;

[0097] According to the light coverage and the light flashing frequency, the light is adjusted to achieve navigation reminder.

[0098] Optionally, the reminder determination module is specifically used to: obtain a braking distance according to the current speed of the vehicle and a preset braking acceleration of the vehicle;

[0099] Obtaining a weight of the braking distance according to the vehicle type and the driving habit;

[0100] Obtaining a warning range in a direction of vehicle travel according to the braking distance and a weight of the braking distance;

[0101] The vehicle warning range is obtained according to the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-traveling direction.

[0102] Optionally, the reminder determination module is specifically used to obtain the braking distance according to the current speed of the vehicle and the preset braking acceleration of the vehicle, referring to the following formula:

[0103] ;

[0104] in, is the braking distance; is the current speed of the vehicle; is the preset braking acceleration of the vehicle;

[0105] The weight of the braking distance is obtained according to the vehicle type and the driving habit, referring to the following formula:

[0106] ;

[0107] in, is the weight of the braking distance; The braking distance weights for the preset vehicle type and the preset driving habits; is the correction factor for the vehicle type; is the correction factor of the driving habit;

[0108] The warning range in the direction of vehicle travel is obtained according to the braking distance and the weight of the braking distance, referring to the following formula:

[0109] ;

[0110] in, is the warning range in the direction of vehicle travel; is the weight of the braking distance; is the braking distance; is the error correction amount of the warning range in the direction of vehicle travel;

[0111] The vehicle warning range is obtained according to the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-traveling direction, referring to the following formula:

[0112] ;

[0113] in, is the vehicle warning range; is the warning range in the direction of vehicle travel; The warning range in the non-traveling direction of the vehicle; is the angle of the vehicle's travel direction.

[0114] Optionally, the reminder determination module is specifically used to: determine the dangerous area when the vehicle is driving according to the vehicle warning range and the current position of the vehicle, referring to the following formula:

[0115] ;

[0116] in, The dangerous area when the vehicle is driving; Any position; is the current position of the vehicle; is the vehicle warning range.

[0117] Optionally, the reminder determination module is specifically used to obtain the distance between the predicted pedestrian position and the current position of the vehicle according to the current position of the vehicle and the predicted pedestrian position, referring to the following formula:

[0118] ;

[0119] in, predicting a position for the pedestrian; is the current position of the vehicle; The predicted position of the pedestrian coordinate; The predicted position of the pedestrian coordinate; is the current position of the vehicle coordinate; is the current position of the vehicle coordinate;

[0120] like , then the pedestrian predicted position The danger zone when the vehicle is driving Inside;

[0121] The pedestrian predicted position The danger zone when the vehicle is driving The predicted position of the pedestrian is used as the judgment result that the navigation information is interfered with. BRIEF DESCRIPTION OF THE DRAWINGS

[0122] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0123] Figure 1A schematic diagram of an application scenario provided for an embodiment of the present application;

[0124] Figure 2 A flowchart of a community service information management method provided in one embodiment of the present application;

[0125] Figure 3 A schematic diagram of the structure of a community service information management system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0126] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0127] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0128] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0129] In the community's underground garage, there is no gathering area for people. Keeping the lighting on all the time causes energy waste, while keeping it off all the time is not conducive to driving safety. Therefore, how to realize intelligent parking functions to ensure traffic safety within the community and improve the residents' experience has become a top priority of community services.

[0130] Based on this, the present application provides a community service information management method and system, which can obtain basement conditions and basement information in real time, accurately analyze road occupancy and traffic conditions, ensure the real-time and accuracy of information, detect the presence of pedestrians in real time, provide instant feedback for driving safety, adjust lighting according to real-time conditions, and provide more accurate navigation information by analyzing road occupancy, traffic conditions and pedestrian conditions to help residents park and drive more safely and quickly. The real-time reminder function can inform residents of potential road interference, such as pedestrians crossing, and improve driving safety awareness, providing rich data support for community service information management, facilitating more scientific management and decision-making.

[0131] Figure 1A schematic diagram of an application scenario provided for the present application, when a resident enters an underground parking lot and parks, the method provided by the present application is applied, the method of the present application is applied to any server, the server interacts with the underground garage monitoring and the underground garage lighting respectively, the real-time underground garage situation obtained by the underground garage monitoring, the road occupancy situation and the traffic situation are obtained, the road interference situation is determined by the real-time underground garage situation and the underground garage information preset in the server, and then the navigation information is confirmed according to the user information preset in the server and the road occupancy situation and the traffic situation obtained through the underground garage monitoring, and then the underground garage lighting is controlled to give a reminder according to the road interference situation and the underground garage information and the navigation information; the road occupancy and traffic situation can be accurately analyzed, the road interference situation and driving can be detected in real time, and dynamic lighting can be performed; the lighting can be adjusted according to the real-time situation, and the lighting reminder can provide instant feedback for driving safety, reduce energy waste, and help residents drive more safely. The real-time reminder function can inform residents of potential road interference, improve driving safety awareness, and provide rich data support for community service information management, facilitating more scientific management and decision-making.

[0132] The specific implementation methods can refer to the following examples.

[0133] Figure 2 This is a flowchart of a community service information management method provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0134] S201, obtaining real-time underground parking conditions and underground parking information; analyzing the real-time underground parking conditions and the underground parking information to obtain road occupancy conditions and traffic conditions.

[0135] The real-time underground garage situation may be various situations occurring or existing in the underground garage in real time, such as the presence or absence of pedestrians, the location of pedestrians, the presence or absence of vehicles, and the driving status of vehicles.

[0136] The basement information can be non-random changes, summary information of facilities, such as community building layout, road layout and parking space information, etc., which can be stored in a preset database.

[0137] Road occupancy can be random events that occur in real time in the basement, such as vehicles parking on the side of the road and placing items.

[0138] Traffic conditions may be driving-related changes in the basement, such as traffic jams and other vehicles driving.

[0139] Specifically, obtain the surveillance video of the basement, use video analysis technology to analyze the surveillance video, obtain a number of data on the real-time basement situation, then pre-process the data, and then use statistical methods to combine the road data of the basement with the basement information for analysis, so as to accurately analyze the road occupancy and traffic conditions.

[0140] S202, determining whether there are pedestrians in the real-time underground parking situation; if so, obtaining pedestrian conditions; and obtaining road interference conditions based on the pedestrian conditions and the underground parking information.

[0141] The pedestrian situation may be various behaviors and status information of pedestrians in the underground garage area.

[0142] The road interference situation can be a specific interference situation composed of various interference factors brought by pedestrians in the basement to the driving in the basement, such as pedestrians walking and crossing the road.

[0143] Specifically, through image recognition, it is determined whether there are pedestrians in the basement. Through data analysis technology, the pedestrian conditions and other information are analyzed. Combined with the pedestrian conditions and basement information, the potential interference of pedestrians to road traffic is analyzed to obtain the road interference situation.

[0144] S203, obtaining resident information; and determining navigation information according to the road occupancy condition, the traffic condition, the resident information and the basement information.

[0145] The resident information may be information for the resident's underground road navigation to return home, such as the parking location of the resident's building in the underground garage, the type of corresponding vehicle, license plate, and vehicle entry and exit frequency, which may be stored in a preset database.

[0146] The navigation information may be information on the residents' underground road navigation to return home, such as route planning and danger warning information.

[0147] Specifically, we obtain resident information such as building location, travel habits, corresponding vehicle information, etc., integrate resident information with basement information to form a unified data set, and use data fusion technology to eliminate redundancy and contradictions between data, improve data accuracy and reliability, combine the above data with road occupancy and traffic conditions, use path planning algorithms, determine the best driving route for residents, and use the best form of path as navigation information.

[0148] S204, obtaining a lighting layout in the basement; and adjusting the lighting according to the lighting layout, the road interference condition and the navigation information to achieve navigation reminder.

[0149] The lighting layout can be an integration of information such as the lighting distribution location, lighting model, and lighting coverage in the basement, which can be stored in a preset database.

[0150] Specifically, information on the lighting layout, such as the lighting distribution position and lighting coverage range, is obtained. According to the lighting layout, road interference conditions and navigation information, the lighting coverage range is transferred following the driving. The road interference conditions are determined according to the basement information and navigation information to determine whether it affects driving in the basement. If so, the light brightness and / or light flashing are controlled to give a reminder based on the judgment result.

[0151] In some implementations, the lights can be adjusted to be always on at locations where road interference exists, and the brightness and on / off state of the lights can be adjusted as the road interference changes, so that the light coverage follows the change of the road interference.

[0152] Through the method provided in this embodiment, it is possible to accurately analyze road occupancy and traffic conditions, detect road interference and driving in real time, and perform dynamic lighting; adjust lighting according to real-time conditions, and implement lighting reminders to provide instant feedback for driving safety, reduce energy waste, and help residents drive more safely. The real-time reminder function can inform residents of potential road interference, improve driving safety awareness, and provide rich data support for community service information management, facilitating more scientific management and decision-making.

[0153] In some embodiments, the pedestrian situation is analyzed to determine the pedestrian behavior, the pedestrian's current position and the pedestrian's current speed; based on the pedestrian behavior, the pedestrian's current acceleration is determined; the underground parking information is analyzed to obtain the road layout; the pedestrian behavior and the road layout are analyzed to predict the pedestrian's turning angle; based on the current acceleration, the steering angle, the current position and the current speed, the pedestrian's predicted position is obtained; it is determined whether the pedestrian's predicted position interferes with the navigation information; if so, the pedestrian's predicted position is used as a road interference situation.

[0154] Pedestrian behavior can be the way pedestrians move in the basement, such as walking, staying, running, etc.

[0155] The current position of the pedestrian may be the real-time position coordinates of the pedestrian in the basement.

[0156] The current speed of the pedestrian may be the current moving speed of the pedestrian.

[0157] The pedestrian's current acceleration may be a rate of change of the pedestrian's current speed, such as accelerated running.

[0158] The pedestrian turning angle may be the angle of direction that the pedestrian may change during movement.

[0159] The road layout may include information such as the road structure, lane distribution, and intersection locations within the basement.

[0160] The predicted position of a pedestrian can be the possible position of the pedestrian at a certain point in the future.

[0161] Specifically, a pedestrian detection algorithm is used to extract the location, speed and behavior information of pedestrians from surveillance videos, track the movement trajectory of pedestrians, update their current location and speed, analyze pedestrian behavior, determine their current acceleration, predict pedestrian turning angles by analyzing pedestrian behavior and road layout, use a prediction algorithm to predict the future location of pedestrians, and determine whether the predicted location of pedestrians will interfere with the driving of residents. If interference occurs, the predicted location of pedestrians will be used as a road interference condition.

[0162] Through the method provided in this embodiment, the position and behavior of pedestrians can be predicted in real time, providing a basis for achieving lighting coverage at the location of pedestrians and following the lighting coverage range. It can also provide a basis for timely reminding drivers to pay attention and avoid collision accidents. In this way, the community underground garage can handle pedestrian situations intelligently, ensure traffic safety, improve residents' experience, and provide a basis for two-way safety of pedestrians and vehicles.

[0163] In some embodiments, the predicted position of the pedestrian is obtained according to the current acceleration, the steering angle, the current position and the current speed, referring to the following formula (1):

[0164] (1);

[0165] in, predicting a position for the pedestrian; is the current position of the pedestrian; is the current speed of the pedestrian; is the current acceleration of the pedestrian; is the time interval; is the unit vector after the pedestrian turns; is the turning angle of the pedestrian.

[0166] The time interval may be an estimated time used when predicting the position of a pedestrian preset in a database, indicating the length of time for the prediction.

[0167] Specifically, considering the pedestrian's current position, current speed, current acceleration, and turning angle, the predicted position of the pedestrian is calculated using formula (1): Indicates that pedestrians will The average velocity over time, assuming an acceleration of It is constant in time, The direction vector after the pedestrian turns multiplied by the time interval , used to calculate pedestrians in the future The distance traveled in the direction of the turn within a certain time.

[0168] Through the method provided in this embodiment, the position of the pedestrian can be accurately and objectively calculated and predicted in real time through the current position, current speed and current acceleration of the pedestrian, so as to timely remind the driver to pay attention and avoid collision accidents.

[0169] In some embodiments, the resident information is parsed to obtain the resident building and license plate number; the basement information is parsed to obtain the road layout, community building layout, and parking space information; the building location of the resident building is determined based on the community building layout and the resident building; the target parking space is determined based on the building location, license plate number, and parking space information; the remaining road width is determined based on the basement information, the road occupancy situation, and the traffic situation; the road congestion situation is obtained based on the remaining road width; and the navigation information is determined based on the target parking space, road layout, and the road congestion situation.

[0170] The resident building can be the specific location of the building where the resident lives in the basement. If it is a visiting vehicle, the resident building of the visited resident is used.

[0171] The license plate number can be the actual license plate number of the resident at the property, or if it is a visiting vehicle, it can be the visiting vehicle license plate.

[0172] The community building layout may be information about the location of each building in the community in the basement that is preset in the server.

[0173] The parking space information may be the location of an owned parking space or an empty parking space.

[0174] The target parking space can be allocated or determined for the resident in combination with the resident's building, license plate number and parking space information, or the resident's own parking space can be determined.

[0175] The remaining road width may be the road width remaining after the underground road is occupied.

[0176] The road congestion situation may be whether the remaining road width is sufficient for vehicles to pass.

[0177] Specifically, through natural language processing and structured data analysis technology, the building and license plate number are extracted from the resident information, and the road layout, building layout and parking space information are extracted from the basement information. The database query and matching algorithm are used to correspond the resident building with the specific location in the building layout. According to the extracted information, the graph database or path optimization algorithm is used to match the license plate number and the specific parking space information. The position recognition and image processing technology are used to determine the spatial position relationship between the vehicle and the parking space to ensure accurate positioning. The road occupancy and traffic conditions are collected in real time through monitoring. Computer vision and convolutional neural networks are used to parse camera videos to detect road congestion and occupancy. The path planning algorithm is used to calculate whether the remaining road width is passable based on real-time data to determine the navigation information.

[0178] Through the method provided in this embodiment, real-time navigation information is generated based on a dynamic path planning algorithm to guide vehicles to enter the target parking space safely and efficiently, so as to reduce the walking distance of residents in the garage and make the customer's parking space as close to the resident's building as possible. By detecting the activity of the vehicle in real time, the light can be adjusted to be always on at the real-time position of the vehicle, and the light coverage range can be transferred with the vehicle, thereby reducing the opening of unnecessary lights, avoiding energy waste, and ensuring driving safety.

[0179] In some embodiments, the navigation information is parsed to obtain the current speed of the vehicle and the current position of the vehicle; the vehicle warning range is obtained based on the current speed of the vehicle, the vehicle type and the driving habits; the dangerous area when the vehicle is driving is determined based on the vehicle warning range and the current position of the vehicle; the lighting coverage range is determined based on the dangerous area and the lighting layout; the light flashing frequency is determined based on the road interference situation and the light coverage range; and the light is adjusted based on the light coverage range and the light flashing frequency to achieve navigation reminders.

[0180] The resident information also includes: vehicle type and driving habits; the basement information also includes: lighting layout.

[0181] Vehicle types can be small cars, medium cars, cargo trucks, non-cargo trucks, etc.

[0182] Driving habits may include driving speed habits and braking status habits in a basement.

[0183] The vehicle warning range may be the area around the vehicle where danger may occur.

[0184] The danger zone can be the area around the moving vehicle where danger may occur. This danger zone is a 360-degree area determined based on the warning range with the current position of the vehicle as the center.

[0185] The reminder can be a light brightness reminder, a light flashing frequency change reminder, or a broadcast reminder.

[0186] Specifically, natural language processing technology is used to parse resident information, obtain vehicle types and driving habits, retrieve the lighting layout in the preset basement information in the database, use a camera combined with SLAM (Simultaneous Localization and Mapping) technology to determine the current position and speed of the vehicle, determine the vehicle warning range based on the relationship between the current speed, driving habits, and vehicle type, determine the dangerous area when the vehicle is driving according to the vehicle warning range and the current position of the vehicle, determine the dynamic lighting coverage range when driving according to the dangerous area that dynamically changes with the vehicle position during driving and the lighting layout, and use lights to remind drivers to pay attention to safety within the lighting coverage range. At this time, the light flashing frequency of the light coverage area can be determined according to the road interference situation and the light coverage range, and then the navigation reminder is achieved by controlling the light flashing frequency of the light coverage range.

[0187] In some embodiments, determining the current location of the pedestrian can provide a basis for lighting control in the basement, and the lighting coverage can be changed according to the predicted location of the pedestrian; when adjusting the lighting, the light can be controlled to be always on at the real-time location of the vehicle, or it can be flashed at a fixed frequency.

[0188] In the specific implementation, the lights can be adjusted to different degrees in different situations. For example, if there are no cars or pedestrians, the light brightness can be reduced or some lights can be turned off. When the vehicle enters the basement, the above method can be used to determine the dangerous area and light up the corresponding lights in the dangerous area; after the vehicle leaves the current position of the vehicle, the lights gradually turn off or switch to energy-saving mode. When the road interference enters the dangerous area, the lights near the vehicle can also flash. When the distance to the road interference is closer, the flashing frequency can gradually increase, so as to remind the driver that there is road interference around.

[0189] Through the method provided by this embodiment, different vehicle warning ranges are set according to different types of vehicles and corresponding driving habits, the current position of the vehicle is calculated in real time and the dangerous area is updated. The lighting coverage is dynamically adjusted based on the current position of the vehicle during dynamic driving to reduce energy waste and reduce operating costs. When road interference affects driving, the lights can be controlled to flash to provide navigation reminders, thereby reducing the occurrence of underground parking collision accidents and improving pedestrian driving safety.

[0190] In some embodiments, a braking distance is obtained based on the current speed of the vehicle and a preset braking acceleration of the vehicle; a weight of the braking distance is obtained based on the vehicle type and the driving habits; a warning range in the direction of vehicle travel is obtained based on the braking distance and the weight of the braking distance; a vehicle warning range is obtained based on the warning range in the direction of vehicle travel and a preset warning range in the non-travel direction of the vehicle.

[0191] The preset braking acceleration of the vehicle may be a braking acceleration preset for the vehicle, which may be set by an expert or based on actual conditions and historical experience, and may be stored in a preset database.

[0192] The preset warning range of the vehicle in the non-travel direction may be the vehicle warning range of the vehicle in the non-travel direction, such as within a certain number of meters around the vehicle body, and may be stored in a preset database.

[0193] Specifically, the braking distance is calculated based on the vehicle's current speed and preset braking acceleration, a weight is assigned to the braking distance based on the vehicle type and driving habits, the warning range in the vehicle's traveling direction is calculated, and the complete vehicle warning range is determined by combining the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-travel direction.

[0194] Through the method provided in this embodiment, the relationship between vehicle type, driving habits and vehicle braking distance is established, and thus a reliable warning range setting in the vehicle's traveling direction is obtained; then during driving, due to the difference in danger level between the driving direction and the non-driving direction, the warning distance is distinguished, and a vehicle warning range with a warning tendency area is enclosed.

[0195] In some embodiments, the braking distance is obtained according to the current speed of the vehicle and the preset braking acceleration of the vehicle, referring to the following formula (2):

[0196] (2);

[0197] in, is the braking distance; is the current speed of the vehicle; The preset braking acceleration of the vehicle;

[0198] The weight of the braking distance is obtained according to the vehicle type and the driving habit, referring to the following formula (3):

[0199] (3);

[0200] in, is the weight of the braking distance; The braking distance weights for the preset vehicle type and the preset driving habits; is the correction factor for the vehicle type; is the correction factor of the driving habit;

[0201] The warning range in the direction of vehicle travel is obtained according to the braking distance and the weight of the braking distance, referring to the following formula (4):

[0202] (4);

[0203] in, is the warning range in the direction of vehicle travel; is the weight of the braking distance; is the braking distance; is the error correction amount of the warning range in the direction of vehicle travel;

[0204] The vehicle warning range is obtained according to the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-traveling direction, referring to the following formula (5):

[0205] (5);

[0206] in, is the vehicle warning range; is the warning range in the direction of vehicle travel; The warning range in the non-traveling direction of the vehicle; is the angle of the vehicle's travel direction.

[0207] The braking distance weights for the preset vehicle types and the preset driving habits may be coefficients obtained through experiments that affect the braking distances for different vehicle types and different driving habits.

[0208] The correction coefficient of the vehicle type may be a coefficient for adjusting the weight of the braking distance according to the vehicle type, and each vehicle type is mapped to a different coefficient in the database.

[0209] The correction coefficient of driving habits may be a coefficient for adjusting the weight of braking distance according to driving habits, and may be obtained by analyzing historical data using a data analysis method.

[0210] The error correction amount of the warning range in the vehicle's traveling direction may be an additional increment to ensure that the calculated warning range in the vehicle's traveling direction is greater than a maximum braking distance that can be obtained according to the vehicle type and driving habits.

[0211] Specifically, according to the current speed of the vehicle and the preset braking acceleration, the braking distance is calculated using formula (2), and according to the vehicle type and driving habits, the weight of the braking distance is calculated using formula (3): , using formula (4), the warning range in the direction of vehicle travel is calculated according to the braking distance and the weight of the braking distance. According to the difference between the warning range in the direction of vehicle travel and the preset warning range in the non-travel direction of vehicle, the complete vehicle warning range is enclosed by formula (5).

[0212] In some embodiments, in combination with the predicted position of the pedestrian and the current position of the vehicle, the intelligent lighting control system can turn the lights on or off according to actual needs. During navigation, the lighting coverage range in the direction of vehicle travel can be larger. According to the navigation route in the navigation information, the lights can be controlled to light up on the navigation route to be traveled when turning at a fork in the road, thereby realizing light navigation. A small range of lighting coverage is performed within the warning range in the non-travel direction of the vehicle. In this way, during driving, the driver of the vehicle can still pay attention to the status of the vehicle's surroundings. In this case, if a pedestrian appears within the warning range, the light can be used to remind him / her by slowly flashing the light. The closer the distance, the higher the flashing frequency, thereby increasing driving attention. In addition, the lighting coverage range covers the braking range. According to different braking distances, the lighting range is also different, thereby realizing the actual display of different warning ranges according to different vehicle types and driving habits.

[0213] Through the method provided in this embodiment, the difference between the warning range in the direction of vehicle travel and the warning range in the direction of non-travel of the vehicle is used to enclose a complete vehicle warning range, and provide reminders for pedestrians when entering the vehicle's dangerous area, providing effective data support, without the need to rely on experience to unilaterally set various parameters, effectively reducing traffic accidents in underground garages and effectively reducing energy waste.

[0214] In some embodiments, the dangerous area when the vehicle is traveling is determined according to the vehicle warning range and the current position of the vehicle, referring to the following formula (6):

[0215] (6);

[0216] in, The dangerous area when the vehicle is driving; Any position; is the current position of the vehicle; is the vehicle warning range.

[0217] The arbitrary positions may represent all possible positions around the vehicle for determining whether the vehicle is in a dangerous area.

[0218] Specifically, the basement monitoring system is used to track the vehicle position in real time, and the dangerous area when the vehicle is driving is dynamically calculated using formula (6) according to the vehicle warning range. This means that any position With the vehicle's current position The Euclidean distance between them is the straight-line distance, which is used to calculate whether any position is within the warning range of the vehicle. The table determines whether the distance between any position and the current position of the vehicle is less than or equal to the warning range of the vehicle. If this condition is met, the position is considered to be in the danger zone. For any position around the vehicle, if the distance from it to the current position of the vehicle is less than or equal to the warning range of the vehicle, then this position belongs to the danger zone when the vehicle is driving.

[0219] Through the method provided in this embodiment, through real-time tracking and danger zone calculation, specific values ​​can be divided for the danger zone when the vehicle is driving, reducing the risk of vehicle collision, so that potential dangers can be warned in time and the safety of pedestrians and vehicles can be improved.

[0220] In some embodiments, according to the current position of the vehicle and the predicted position of the pedestrian, the distance between the predicted position of the pedestrian and the current position of the vehicle is obtained, referring to the following formula (7):

[0221] (7);

[0222] in, predicting a position for the pedestrian; is the current position of the vehicle; The predicted position of the pedestrian coordinate; The predicted position of the pedestrian coordinate; is the current position of the vehicle coordinate; is the current position of the vehicle coordinate;

[0223] like , then the pedestrian predicted position The danger zone when the vehicle is driving Inside;

[0224] The pedestrian predicted position The danger zone when the vehicle is driving The predicted position of the pedestrian is used as the judgment result that the navigation information is interfered with.

[0225] Specifically, the distance between the predicted position of the pedestrian and the current position of the vehicle is calculated using the provided formula (7). This distance is the key basis for determining whether the pedestrian is in the danger zone of the vehicle. If the calculated distance is less than or equal to the warning range of the vehicle, , then the predicted position of the pedestrian is considered to be within the danger zone of the vehicle. If the predicted position of the pedestrian is within the danger zone of the vehicle, then this information can be used as a road interference situation to remind the driver to ensure driving safety.

[0226] Through the method provided in this embodiment, by real-time monitoring of the current positions of pedestrians and vehicles and issuing reminders, collisions between vehicles and pedestrians can be effectively avoided and driving safety can be improved. Combined with the predicted position of pedestrians and the current position of vehicles, the intelligent lighting control system can turn on or off the lights according to actual needs. When pedestrians appear in the dangerous area of ​​the vehicle, the lights can be controlled to flash, realizing two-way reminders for pedestrians and vehicles, while in areas without pedestrians and vehicles, the lights are kept off to save energy.

[0227] Figure 3 A schematic diagram of a community service information management system provided in one embodiment of the present application is shown in FIG. Figure 3 As shown, the community service information management system 300 of this embodiment includes: an underground garage determination module 301, a pedestrian determination module 302, a navigation determination module 303 and a reminder determination module 304.

[0228] The basement determination module 301 is used to obtain real-time basement conditions and basement information; analyze the real-time basement conditions and basement information to obtain road occupancy and traffic conditions;

[0229] The pedestrian determination module 302 is used to determine whether there are pedestrians in the real-time underground parking situation; if there are pedestrians, the pedestrian situation is obtained; and the road interference situation is obtained according to the pedestrian situation and the underground parking information;

[0230] The navigation determination module 303 is used to obtain the resident information; determine the navigation information according to the road occupancy condition, the traffic condition, the resident information and the basement information;

[0231] The reminder determination module 304 is used to obtain the lighting layout in the basement; and adjust the lighting according to the lighting layout, the road interference situation and the navigation information to achieve navigation reminder.

[0232] Optionally, the pedestrian determination module 302 is specifically used to: analyze the pedestrian situation, determine the pedestrian behavior, the pedestrian's current position and the pedestrian's current speed;

[0233] Determining a current acceleration of the pedestrian based on the pedestrian behavior;

[0234] Analyze the basement information to obtain road layout;

[0235] Analyze the pedestrian behavior and road layout to predict the pedestrian turning angle;

[0236] Obtaining a predicted position of a pedestrian according to the current acceleration, the steering angle, the current position and the current speed;

[0237] determining whether the predicted position of the pedestrian interferes with the navigation information;

[0238] If there is interference, the predicted position of the pedestrian is taken as the road interference situation.

[0239] Optionally, the pedestrian determination module 302 is specifically configured to obtain a predicted pedestrian position according to the current acceleration, the steering angle, the current position and the current speed, referring to the following formula:

[0240] ;

[0241] in, predicting a position for the pedestrian; is the current position of the pedestrian; is the current speed of the pedestrian; is the current acceleration of the pedestrian; is the time interval; is the unit vector after the pedestrian turns; is the pedestrian turning angle

[0242] Optionally, the navigation determination module 303 is specifically used to: parse the resident information to obtain the resident building and license plate number;

[0243] Parse the basement information to obtain road layout, community building layout, and parking space information;

[0244] Determine the building location of the resident building according to the community building layout and the resident building;

[0245] Determine the target parking space based on the building location, license plate number and parking space information;

[0246] Determining the remaining road width according to the basement information, the road occupancy situation and the traffic situation;

[0247] Obtaining road congestion conditions according to the remaining road width;

[0248] Determine navigation information based on target parking space, road layout and road congestion

[0249] Optionally, the reminder determination module 304 is specifically used for: the resident information further includes: vehicle type and driving habits; the basement information further includes: lighting layout;

[0250] Analyze the navigation information to obtain the current speed and position of the vehicle;

[0251] Obtaining a vehicle warning range according to the current speed of the vehicle, the vehicle type and the driving habits;

[0252] Determine a dangerous area when the vehicle is traveling according to the vehicle warning range and the current position of the vehicle;

[0253] Determining the lighting coverage according to the hazardous area and the lighting layout;

[0254] Determining a light flashing frequency according to the road interference condition and the light coverage range;

[0255] According to the light coverage and the light flashing frequency, the light is adjusted to achieve navigation reminder.

[0256] Optionally, the reminder determination module 304 is specifically used to: obtain a braking distance according to the current speed of the vehicle and a preset braking acceleration of the vehicle;

[0257] Obtaining a weight of the braking distance according to the vehicle type and the driving habit;

[0258] Obtaining a warning range in a direction of vehicle travel according to the braking distance and a weight of the braking distance;

[0259] The vehicle warning range is obtained according to the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-traveling direction.

[0260] Optionally, the reminder determination module 304 is specifically used to obtain the braking distance according to the current speed of the vehicle and the preset braking acceleration of the vehicle, referring to the following formula:

[0261] ;

[0262] in, is the braking distance; is the current speed of the vehicle; is the preset braking acceleration of the vehicle;

[0263] The weight of the braking distance is obtained according to the vehicle type and the driving habit, referring to the following formula:

[0264] ;

[0265] in, is the weight of the braking distance; The braking distance weights for the preset vehicle type and the preset driving habits; is the correction factor for the vehicle type; is the correction factor of the driving habit;

[0266] The warning range in the direction of vehicle travel is obtained according to the braking distance and the weight of the braking distance, referring to the following formula:

[0267] ;

[0268] in, is the warning range in the direction of vehicle travel; is the weight of the braking distance; is the braking distance; is the error correction amount of the warning range in the direction of vehicle travel;

[0269] The vehicle warning range is obtained according to the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-traveling direction, referring to the following formula:

[0270] ;

[0271] in, is the vehicle warning range; is the warning range in the direction of vehicle travel; The warning range in the non-traveling direction of the vehicle; is the angle of the vehicle's travel direction.

[0272] Optionally, the reminder determination module 304 is specifically used to: determine the dangerous area when the vehicle is traveling according to the vehicle warning range and the current position of the vehicle, referring to the following formula:

[0273] ;

[0274] in, The dangerous area when the vehicle is driving; Any position; is the current position of the vehicle; is the vehicle warning range.

[0275] Optionally, the reminder determination module 304 is specifically used to obtain the distance between the predicted pedestrian position and the current position of the vehicle according to the current position of the vehicle and the predicted pedestrian position, referring to the following formula:

[0276] ;

[0277] in, predicting a position for the pedestrian; is the current position of the vehicle; The predicted position of the pedestrian coordinate; The predicted position of the pedestrian coordinate; is the current position of the vehicle coordinate; is the current position of the vehicle coordinate;

[0278] like , then the pedestrian predicted position The danger zone when the vehicle is driving Inside;

[0279] The pedestrian predicted position The danger zone when the vehicle is driving The predicted position of the pedestrian is used as the judgment result that the navigation information is interfered with.

[0280] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A community service information management method, characterized in that: include: Get real-time basement status and basement information; Analyze the real-time underground parking situation and the underground parking information to obtain the road occupancy situation and traffic situation; Determine whether there are pedestrians in the real-time underground parking situation; if there are pedestrians, obtain pedestrian conditions; obtain road interference conditions based on the pedestrian conditions and the underground parking information; Acquire resident information; determine navigation information based on the road occupancy situation, the traffic situation, the resident information and the basement information; Obtaining the lighting layout in the basement; adjusting the lighting according to the lighting layout, the road interference situation and the navigation information to achieve navigation reminder; The road interference situation is obtained according to the pedestrian situation and the underground parking information, including: Analyze the pedestrian situation to determine the pedestrian behavior, the pedestrian's current location, and the pedestrian's current speed; Determining a current acceleration of the pedestrian based on the pedestrian behavior; Analyze the basement information to obtain road layout; Analyze the pedestrian behavior and road layout to predict the pedestrian turning angle; Obtaining a predicted position of a pedestrian according to the current acceleration, the steering angle, the current position and the current speed; determining whether the predicted position of the pedestrian interferes with the navigation information; If there is interference, the predicted position of the pedestrian is taken as the road interference situation; The resident information also includes: vehicle type and driving habits; according to the lighting layout, the road interference situation and the navigation information, the lighting is adjusted to achieve navigation reminders, including: Analyze the navigation information to obtain the current speed and position of the vehicle; Obtaining a vehicle warning range according to the current speed of the vehicle, the vehicle type and the driving habits; Determine a dangerous area when the vehicle is traveling according to the vehicle warning range and the current position of the vehicle; Determining the lighting coverage according to the hazardous area and the lighting layout; Determining a light flashing frequency according to the road interference condition and the light coverage range; According to the light coverage range and the light flashing frequency, adjusting the light to achieve navigation reminder; The predicted position of the pedestrian is obtained according to the current acceleration, the steering angle, the current position and the current speed, referring to the following formula: ； in, predicting a position for the pedestrian; is the current position of the pedestrian; is the current speed of the pedestrian; is the current acceleration of the pedestrian; is the time interval; is the unit vector after the pedestrian turns; is the turning angle of the pedestrian.

2. The method according to claim 1, characterized in that: The determining of navigation information according to the road occupancy condition, the traffic condition, the resident information and the basement information includes: Parse the resident information to obtain the resident's building and license plate number; Parse the basement information to obtain road layout, community building layout, and parking space information; Determine the building location of the resident building according to the community building layout and the resident building; Determine the target parking space based on the building location, license plate number and parking space information; Determining the remaining road width according to the basement information, the road occupancy situation and the traffic situation; Obtaining road congestion conditions according to the remaining road width; Navigation information is determined based on the target parking space, road layout and the road congestion condition.

3. The method according to claim 1, characterized in that The obtaining of the vehicle alert range according to the current speed of the vehicle, the vehicle type and the driving habit includes: Obtaining a braking distance according to the current speed of the vehicle and a preset braking acceleration of the vehicle; Obtaining a weight of the braking distance according to the vehicle type and the driving habit; Obtaining a warning range in a direction of vehicle travel according to the braking distance and a weight of the braking distance; The vehicle warning range is obtained according to the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-traveling direction.

4. The method according to claim 3, characterized in that The braking distance is obtained according to the current speed of the vehicle and the preset braking acceleration of the vehicle, referring to the following formula: ； in, is the braking distance; is the current speed of the vehicle; is the preset braking acceleration of the vehicle; The weight of the braking distance is obtained according to the vehicle type and the driving habit, referring to the following formula: ； in, is the weight of the braking distance; The braking distance weights for the preset vehicle type and the preset driving habits; is the correction factor for the vehicle type; is the correction factor of the driving habit; The warning range in the direction of vehicle travel is obtained according to the braking distance and the weight of the braking distance, referring to the following formula: ； in, is the warning range in the direction of vehicle travel; is the weight of the braking distance; is the braking distance; is the error correction amount of the warning range in the direction of vehicle travel; The vehicle warning range is obtained according to the warning range in the vehicle's traveling direction and the preset warning range in the vehicle's non-traveling direction, referring to the following formula: ； in, is the vehicle warning range; is the warning range in the direction of vehicle travel; The warning range in the non-traveling direction of the vehicle; is the angle of the vehicle's travel direction.

5. The method according to claim 4, characterized in that The dangerous area when the vehicle is traveling is determined according to the vehicle warning range and the current position of the vehicle, referring to the following formula: ； in, The dangerous area when the vehicle is driving; Any position; is the current position of the vehicle; is the vehicle warning range.

6. The method according to claim 5, characterized in that The determining whether the predicted position of the pedestrian interferes with the navigation information includes: According to the current position of the vehicle and the predicted position of the pedestrian, the distance between the predicted position of the pedestrian and the current position of the vehicle is obtained, referring to the following formula: ； in, predicting a position for the pedestrian; is the current position of the vehicle; The predicted position of the pedestrian coordinate; The predicted position of the pedestrian coordinate; is the current position of the vehicle coordinate; is the current position of the vehicle coordinate; like , then the pedestrian predicted position The danger zone when the vehicle is driving Inside; The pedestrian predicted position The danger zone when the vehicle is driving The predicted position of the pedestrian is used as the judgment result that it interferes with the navigation information.

7. A community service information management system, characterized in that: Implementing the method according to any one of claims 1 to 6, comprising: The basement determination module is used to obtain the real-time basement situation and basement information; analyze the real-time basement situation and the basement information to obtain the road occupancy situation and traffic situation; A pedestrian determination module is used to determine whether there are pedestrians in the real-time underground parking situation; if there are pedestrians, the pedestrian situation is obtained; and the road interference situation is obtained according to the pedestrian situation and the underground parking information; A navigation determination module, used to obtain resident information; determine navigation information according to the road occupancy situation, the traffic situation, the resident information and the basement information; The reminder determination module is used to obtain the lighting layout in the basement; according to the lighting layout, the road interference situation and the navigation information, the lighting is adjusted to achieve navigation reminder.

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