Public parking lot diversion method and system based on associated information prediction

Abstract

The invention is suitable for the field of vehicle intelligent management, and provides a public parking lot diversion method and system based on associated information prediction, and the method comprises the steps: collecting the parking position information of a target vehicle; target vehicle passenger information is obtained, and first sub-item information is generated; obtaining a target carrier historical stay data set, and generating second subitem information; based on the first subitem information and the second subitem information, generating thermodynamic analysis information; collecting a plurality of pieces of thermodynamic analysis information, and generating a real-time thermodynamic parking area; based on the real-time thermal parking area, a parking diversion path is generated; the method and the system can accurately analyze and predict the departure time of the vehicle in a multi-mode manner, facilitate the real-time mastering of the idle parking space condition of the parking lot, generate a scientific and reasonable diversion scheme according to the condition, help to guide a driver to quickly find the idle parking space, remarkably improve the utilization rate of the parking lot, and improve the driving safety through data analysis. A parking lot manager can deeply know the operation condition of the parking lot.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent vehicle management, and in particular relates to a public parking lot diversion method and system based on correlation information prediction. Background Art

[0002] With the acceleration of urbanization and the continuous growth of the number of motor vehicles, the problem of parking difficulties has become increasingly prominent, especially in urban central areas and busy business districts, where the contradiction between supply and demand of parking spaces is particularly prominent. This not only affects the travel experience of citizens, but also aggravates traffic congestion and reduces the efficiency of urban operations. Therefore, how to effectively manage and optimize parking space resources and improve the utilization rate and turnover rate of parking lots has become an urgent problem to be solved in the current construction of smart cities.

[0003] At present, the management methods of most public parking lots are still relatively traditional, lacking the support of intelligent means. There is a lack of effective path guidance and parking space allocation mechanism inside the parking lot, which makes car owners inefficient when looking for parking spaces in the parking lot, further aggravating the problem of parking difficulties. In view of the above problems, it is urgent to develop a public parking lot diversion method and system based on correlation information prediction. Summary of the invention

[0004] The purpose of the present invention is to provide a public parking lot diversion method and system based on correlation information prediction, aiming to solve the problems raised in the above background technology.

[0005] The present invention is implemented in this way. On the one hand, a method for diverting traffic in a public parking lot based on prediction of associated information comprises: Collecting parking location information of targeted vehicles; Obtaining the targeted vehicle crew information and generating the first sub-item information; Obtaining a historical data set of target vehicle stays and generating second sub-item information; Generate thermal analysis information based on the first sub-item information and the second sub-item information; Collect some thermal analysis information and generate real-time thermal parking areas; Generate parking diversion paths based on real-time thermal parking areas; Update real-time thermal parking areas.

[0006] As a further solution of the present invention, the acquisition of the targeted vehicle occupant information and the generation of the first sub-item information specifically includes: Based on the parking position information of the targeted vehicle, matching and acquiring the real-time image of the parking position of the targeted vehicle; Identify occupant images in real-time images of the parking position of the targeted vehicle; Identify the gender and age information of the occupant image; If at least one of the age information of the plurality of occupant images has age information less than the age threshold, generating first-level thermal information; If there is at least one female gender information in the gender information of the multiple occupant images, generating secondary thermal information; If at least one of the age information of the multiple occupant images has age information less than the age threshold and at least one of the gender information of the multiple occupant images has female gender information, the third-level thermal information is generated.

[0007] As a further solution of the present invention, the acquisition of the historical stay data set of the targeted vehicle and the generation of the second sub-item information specifically includes: Identify the license plate information of the targeted vehicle; Retrieve and obtain the historical single-stop duration of targeted license plate information; Calculate the median length of a single stay in history; Determine whether the median value is greater than the stay time threshold; If the median value is greater than the residence time threshold, additional thermal information is generated.

[0008] As a further solution of the present invention, generating the thermal analysis information based on the first sub-item information and the second sub-item information specifically includes: Based on the primary thermal information, generate the first thermal sub-point a; Based on the secondary thermal information, a second thermal sub-point b is generated; Based on the third-level thermal information, a third thermal sub-point c is generated; Retrieve additional thermal information and obtain the corresponding point d of the additional thermal information.

[0009] As a further solution of the present invention, the collecting of a plurality of thermal analysis information and generating a real-time thermal parking area specifically includes: Set the basic thermal value of the first thermal sub-point a to 1; Set the basic thermal value of the second thermal sub-point b to 5; Set the base thermal value of the third thermal sub-point c to 10; Set several sub-area ranges G; Calculate the total thermal value of the sub-area range G ; Among them, the total thermal value of the sub-area range G The calculation process is: ; In the formula, the vehicle set in the sub-area range G is , per vehicle The basic heat value is ; Search whether there is a corresponding point d of thermal additional information within the sub-region range G; If there is a corresponding point d of thermal additional information in the sub-region G, the total thermal value of the sub-region G is 1.3 ; Set up high heat areas ≥70, medium thermal area 30≤ ≤70, low thermal area <30.

[0010] As a further solution of the present invention, on the other hand, a public parking lot diversion system based on correlation information prediction comprises: The first acquisition module is used to acquire the parking position information of the targeted vehicle; The first acquisition module is used to obtain the targeted vehicle crew information. A first generating module, used to generate first sub-item information; The second acquisition module is used to acquire the historical stay data set of the targeted vehicle; A second generating module, used to generate second sub-item information; A third generating module, used for generating thermal analysis information based on the first sub-item information and the second sub-item information; The second acquisition module is used to collect a number of thermal analysis information; A fourth generation module, for generating a real-time thermal parking area; A fifth generation module, for generating a parking diversion path based on the real-time thermal parking area; Update module, used to update the real-time thermal parking area.

[0011] As a further solution of the present invention, the first acquisition module specifically includes: A matching and acquiring unit, used for matching and acquiring a real-time image of a parking position of a targeted vehicle based on the parking position information of the targeted vehicle; A first recognition unit is used to recognize an image of an occupant in a real-time image of a parking position of a targeted vehicle; A second recognition unit, used to recognize gender information and age information of the passenger image; A first generating unit, configured to generate primary thermal information if at least one of the age information of the plurality of occupant images has age information less than an age threshold; A second generating unit, configured to generate secondary thermal information if at least one female gender information exists in the gender information of the plurality of passenger images; The third generating unit is used to generate the third level thermal information if at least one of the age information of the multiple occupant images has age information less than the age threshold and at least one of the gender information of the multiple occupant images has female gender information.

[0012] As a further solution of the present invention, the first acquisition module specifically includes: A third recognition unit is used to recognize the license plate information of the targeted vehicle; A retrieval and acquisition unit, used to retrieve and obtain the historical single stay duration of the targeted license plate information; A calculation unit, used to calculate the median value of the historical single stay duration; A judgment unit, used to judge whether the median value is greater than a stay time threshold; The fourth generating unit is used to generate thermal additional information if the median value is greater than the residence time threshold.

[0013] As a further solution of the present invention, the third generation module specifically includes: A fifth generating unit, used for generating a first thermal sub-point a based on the primary thermal information; A sixth generating unit, used for generating a second thermal sub-point b based on the secondary thermal information; A seventh generating unit, used for generating a third thermal sub-point c based on the third-level thermal information; A retrieval unit, used for retrieving additional thermal information; The acquisition unit is used to obtain the corresponding point d of the additional thermal information.

[0014] The public parking lot diversion method and system based on correlation information prediction provided by the present invention can accurately analyze and predict the departure time of vehicles in a multi-modal manner, provide rich decision-making support, facilitate real-time grasp of the vacant parking spaces in the parking lot, and generate scientific and reasonable diversion plans based on this, which helps to guide drivers to quickly find vacant parking spaces and significantly improve the utilization rate of the parking lot. Through data analysis, parking lot managers can have an in-depth understanding of the operating conditions of the parking lot, discover potential problems, and take corresponding management measures to improve the management level of the parking lot. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The main flow chart of a public parking lot diversion method based on correlation information prediction.

[0016] Figure 2 The invention discloses a flow chart for obtaining targeted vehicle occupant information and generating first sub-item information in a public parking lot diversion method based on correlation information prediction.

[0017] Figure 3 The invention discloses a flow chart for obtaining a historical stay data set of a targeted vehicle and generating second sub-item information in a public parking lot diversion method based on correlation information prediction.

[0018] Figure 4The invention discloses a flow chart for generating thermal analysis information based on first sub-item information and second sub-item information in a public parking lot diversion method based on correlation information prediction.

[0019] Figure 5 The invention discloses a flow chart for collecting a plurality of thermal analysis information and generating a real-time thermal parking area in a public parking lot diversion method based on correlation information prediction.

[0020] Figure 6 It is a main structural diagram of a public parking lot diversion system based on correlation information prediction.

[0021] Figure 7 The invention discloses a structural block diagram of a first acquisition module in a public parking lot diversion system based on correlation information prediction.

[0022] Figure 8 The invention discloses a structural block diagram of a second acquisition module in a public parking lot diversion system based on correlation information prediction.

[0023] Fig. 9 The present invention is a structural block diagram of the third generation module in a public parking lot diversion system based on correlation information prediction. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0025] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0026] The public parking lot diversion method and system based on correlation information prediction provided by the present invention solve the technical problems in the background technology.

[0027] like Figure 1 FIG. 1 is a main flow chart of a method for diverting traffic to a public parking lot based on prediction of associated information provided by an embodiment of the present invention. The method for diverting traffic to a public parking lot based on prediction of associated information includes: Step S100: collecting parking position information of the targeted vehicle; Step S200: Acquire the targeted vehicle occupant information and generate the first sub-item information; Step S300: Acquire a historical stay data set of the targeted vehicle and generate second sub-item information; Step S400: generating thermal analysis information based on the first sub-item information and the second sub-item information; Step S500: collecting a number of thermal analysis information and generating a real-time thermal parking area; Step S600: generating a parking diversion path based on the real-time thermal parking area; Step S700: Update the real-time thermal parking area.

[0028] When this embodiment is applied, each parking space in the parking lot is provided with a sensing device. When a vehicle is parked or driven in, the background cloud will receive the sensing information, and then perceive the real-time usage of each parking space in real time. When the targeted vehicle is parked in a parking space, the parking position information and parking space occupancy information of the targeted vehicle will be collected. First, the targeted vehicle occupant information is obtained to generate the first sub-item information. The targeted vehicle occupant information includes the gender information of the targeted vehicle occupant and the age information of the targeted vehicle occupant. By analyzing the gender information and the age information of the targeted vehicle occupant, the possible stay time of the targeted vehicle can be analyzed to generate the first sub-item information. At the same time, in order to further improve the accuracy of the analysis of the target vehicle's stay time, the historical stay data set of the targeted vehicle is obtained. By analyzing the historical stay time of the targeted vehicle, the parking habits of the targeted vehicle occupant can be analyzed. , and then generate the second sub-item information, cooperate with the first sub-item information, further determine the predicted stay time of the target vehicle, and then generate thermal analysis information based on the first sub-item information and the second sub-item information, collect a number of thermal analysis information, determine which areas of the parking lot have a large number of parked vehicles and a long parking time, and then generate a real-time thermal parking area, and generate a parking diversion path based on the real-time thermal parking area. After the real-time thermal parking area is generated, the real-time thermal parking area information can be uploaded to the cloud. Drivers entering the parking lot can obtain the parking diversion path corresponding to the real-time thermal parking area through the vehicle system (with the Internet of Vehicles function) or an application connected to the cloud, and drive the vehicle to the designated parking area according to the parking diversion path. At the same time, the real-time thermal parking area will be updated in real time, thereby improving the real-time performance of the diversion parking space.

[0029] like Figure 2 As shown, as a preferred embodiment of the present invention, the acquisition of the targeted vehicle occupant information and the generation of the first sub-item information specifically include: Step S201: Based on the parking position information of the targeted vehicle, matching and acquiring a real-time image of the parking position of the targeted vehicle; Step S202: Identify the passenger image in the real-time image of the parking position of the targeted vehicle; Step S203: Identify the gender information and age information of the passenger image; Step S204: if there is at least one piece of age information of the multiple occupant images that is less than the age threshold, generating first-level thermal information; Step S205: if there is at least one female gender information in the gender information of the multiple passenger images, generating secondary thermal information; Step S206: if at least one of the age information of the multiple occupant images has an age information lower than the age threshold and at least one of the gender information of the multiple occupant images has a female gender information, generating the third level thermal information; When this embodiment is applied, by judging the gender information and age information in the real-time image of the vehicle parking position, if there is at least one age information lower than the age threshold among the age information of multiple occupant images, it indicates that there is a child among the occupants, and they may stay in the area for a long time; if there is at least one female gender information among the gender information of multiple occupant images, it indicates that there are females among the occupants, and the stay time in the area will be further prolonged. The thermal information corresponds to the length of the predicted stay time of the parking space, and the order of the thermal information levels from high to low is: level three thermal information, level two thermal information, and level one thermal information. The higher the thermal information level, the longer the predicted stay time of the parking space.

[0030] like Figure 3 As shown, as a preferred embodiment of the present invention, the acquisition of the historical stay data set of the targeted vehicle and the generation of the second sub-item information specifically include: Step S301: Identify the license plate information of the targeted vehicle; Step S302: Retrieve and obtain the historical single stay duration of the targeted license plate information; Step S303: Calculate the median value of the historical single stay duration; Step S304: determine whether the median value is greater than the stay time threshold; Step S305: if the median value is greater than the stay time threshold, generate thermal additional information; When this embodiment is applied, the parking lot is provided with a parking system, which can identify and record the entry and exit of vehicles. First, the license plate information of the targeted vehicle is identified. If the vehicle enters and exits the parking lot multiple times, the parking system will store historical information, retrieve and obtain the historical single stay time of the targeted license plate information, and the single stay time is the difference between the entry time and the exit time. After retrieving and obtaining multiple sets of historical single stay time data, the median of the historical single stay time is calculated. The median value is not affected by the maximum and minimum extreme values, and the change of some data has no effect on the median. The concentration trend of multiple historical single stay time data can be described, and then it is determined whether the median value is greater than the stay time threshold. If the median value is greater than the stay time threshold, thermal additional information is generated, indicating that the vehicle may be parked for a long time after entering the parking lot.

[0031] like Figure 4 As shown, as a preferred embodiment of the present invention, generating the thermal analysis information based on the first sub-item information and the second sub-item information specifically includes: Step S401: generating a first thermal sub-point a based on the primary thermal information; Step S402: generating a second thermal sub-point b based on the secondary thermal information; Step S403: generating a third thermal sub-point c based on the third-level thermal information; Step S404: Retrieve the additional thermal information and obtain the corresponding point d of the additional thermal information.

[0032] It should be understood that the first thermal sub-point is generated based on the first-level thermal information, the second thermal sub-point is generated based on the second-level thermal information, and the third thermal sub-point is generated based on the third-level thermal information. The first thermal sub-point, the second thermal sub-point and the third thermal sub-point are used to provide parking diversion paths in an orderly manner according to the thermal level, thereby improving parking efficiency.

[0033] like Figure 5 As shown, as a preferred embodiment of the present invention, the collecting of a plurality of thermal analysis information and generating a real-time thermal parking area specifically includes: Step S501: setting the basic thermal value of the first thermal sub-point a to 1; Step S502: setting the basic thermal value of the second thermal sub-point b to 5; Step S503: setting the basic thermal value of the third thermal sub-point c to 10; Step S504: setting a number of sub-region ranges G; Step S505: Calculate the total thermal value of the sub-region G ; Among them, the total thermal value of the sub-region range G The calculation process is: ; In the formula, the vehicle set in the sub-area range G is , per vehicle The basic heat value is ; Step S506: searching whether there is a corresponding point d of thermal additional information within the sub-region range G; Step S507: If there is a point d corresponding to the additional thermal information in the sub-region G, the total thermal value of the sub-region G is 1.3 ; Step S508: Setting a high thermal area ≥70, medium thermal area 30≤ ≤70, low thermal area <30; When this embodiment is applied, the basic thermal value of the first thermal sub-point a is set to 1, the basic thermal value of the second thermal sub-point b is set to 5, the basic thermal value of the third thermal sub-point c is set to 10, several sub-area ranges G are set, and then the total thermal value of the sub-area range G is calculated. , search whether there is a corresponding point d of thermal additional information in the sub-region range G. If there is a corresponding point d of thermal additional information in the sub-region range G, the total thermal value of the sub-region range G is 1.3 , set real-time high heat area ≥70, real-time medium heat area 30≤ ≤70, real-time low heat area <30, and then locate according to the real-time thermal parking area, and finally generate the parking diversion path. The total thermal value of the above sub-area range G is 1.3 The coefficient of 1.3 and the threshold interval of 30 / 70 are the optimal coefficient and threshold interval verified by experiments or simulations. In practical applications, the coefficient and threshold interval can be adjusted according to specific circumstances.

[0034] like Figure 6 As shown, as another preferred embodiment of the present invention, on the other hand, a public parking lot diversion system based on association information prediction comprises: The first acquisition module 100 is used to acquire the parking position information of the targeted vehicle; The first acquisition module 200 is used to acquire the occupant information of the targeting vehicle. The first generating module 300 is used to generate first sub-item information; The second acquisition module 400 is used to acquire a historical stay data set of a targeted vehicle; The second generating module 500 is used to generate second sub-item information; The third generating module 600 is used to generate thermal analysis information based on the first sub-item information and the second sub-item information; The second acquisition module 700 is used to acquire a number of thermal analysis information; A fourth generating module 800 is used to generate a real-time thermal parking area; A fifth generating module 900, for generating a parking diversion path based on the real-time thermal parking area; The updating module 1000 is used to update the real-time thermal parking area.

[0035] When this embodiment is applied, the first acquisition module 100 acquires the parking position information of the targeted vehicle, the first acquisition module 200 acquires the occupant information of the targeted vehicle, the first generation module 300 generates the first sub-item information, the second acquisition module 400 acquires the historical stop data set of the targeted vehicle, the second generation module 500 generates the second sub-item information, based on the first sub-item information and the second sub-item information, the third generation module 600 generates thermal analysis information, the second acquisition module 700 acquires several thermal analysis information, the fourth generation module 800 generates a real-time thermal parking area, based on the real-time thermal parking area, the fifth generation module 900 generates a parking diversion path, and the update module 1000 updates the real-time thermal parking area.

[0036] like Figure 7 As shown, as another preferred embodiment of the present invention, the first acquisition module 200 specifically includes: A matching and acquiring unit 201 is used to match and acquire a real-time image of a targeted vehicle parking position based on the targeted vehicle parking position information; The first recognition unit 202 is used to recognize the passenger image in the real-time image of the parking position of the targeted vehicle; The second recognition unit 203 is used to recognize the gender information and age information of the passenger image; A first generating unit 204 is configured to generate primary thermal information if at least one of the age information of the plurality of occupant images has age information less than an age threshold; The second generating unit 205 is used to generate secondary thermal information if there is at least one female gender information in the gender information of the multiple passenger images; The third generating unit 206 is configured to generate the third level thermal information if at least one of the age information of the plurality of occupant images has age information less than the age threshold and at least one of the gender information of the plurality of occupant images has female gender information; When this embodiment is applied, based on the parking position information of the targeted vehicle, the matching and acquisition unit 201 matches and acquires the real-time image of the parking position of the targeted vehicle, the first recognition unit 202 recognizes the occupant image in the real-time image of the parking position of the targeted vehicle, and the second recognition unit 203 recognizes the gender information and age information of the occupant image. If there is at least one age information less than the age threshold in the age information of multiple occupant images, the first generation unit 204 generates primary thermal information. If there is at least one female gender information in the gender information of multiple occupant images, the second generation unit 205 generates secondary thermal information. If there is at least one age information less than the age threshold in the age information of multiple occupant images and there is at least one female gender information in the gender information of multiple occupant images, the third generation unit 205 generates tertiary thermal information.

[0037] like Figure 8As shown, as another preferred embodiment of the present invention, the second acquisition module 400 specifically includes: The third recognition unit 401 is used to recognize the license plate information of the targeted vehicle; A retrieval and acquisition unit 402 is used to retrieve and acquire the historical single stay duration of the targeted license plate information; A calculation unit 403 is used to calculate the median value of the historical single stay duration; A judging unit 404 is used to judge whether the median value is greater than a stay time threshold; The fourth generating unit 405 is used to generate thermal additional information if the median value is greater than the residence time threshold.

[0038] When this embodiment is applied, the third recognition unit 401 recognizes the license plate information of the targeted vehicle, the retrieval and acquisition unit 402 retrieves and acquires the historical single stay duration of the targeted license plate information, the calculation unit 403 calculates the median value of the historical single stay duration, the judgment unit 404 judges whether the median value is greater than the stay duration threshold, if the median value is greater than the stay duration threshold, the fourth generation unit 405 generates thermal additional information.

[0039] like Fig. 9 As shown, as another preferred embodiment of the present invention, the third generating module 600 specifically includes: A fifth generating unit 601 is used to generate a first thermal sub-point a based on the primary thermal information; The sixth generating unit 602 is used to generate a second thermal sub-point b based on the secondary thermal information; The seventh generating unit 603 is used to generate a third thermal sub-point c based on the third-level thermal information; A retrieval unit 604, used to retrieve thermal additional information; The acquisition unit 605 is used to acquire the corresponding point d of the thermal additional information.

[0040] When this embodiment is applied, based on the primary thermal information, the fifth generation unit 601 generates the first thermal sub-point a, based on the secondary thermal information, the sixth generation unit 602 generates the second thermal sub-point b, based on the tertiary thermal information, the seventh generation unit 603 generates the third thermal sub-point c, the retrieval unit 604 retrieves additional thermal information, and the acquisition unit 605 acquires the point d corresponding to the additional thermal information.

[0041] The above-mentioned embodiment of the present invention provides a public parking lot diversion method based on correlation information prediction, and provides a public parking lot diversion system based on correlation information prediction. A sensing device is set in each parking space in the parking lot. When a vehicle is parked or driven in, the background cloud will receive the sensing information, and then perceive the real-time usage of each parking space in real time. When the targeted vehicle is parked in a certain parking space, the parking position information and parking space occupancy information of the targeted vehicle will be collected. First, the occupant information of the targeted vehicle is obtained to generate the first sub-item information. The targeted vehicle occupant information includes the gender information of the targeted vehicle occupant. The target vehicle occupant's gender information and the target vehicle occupant's age information can be used to analyze the possible stay time of the target vehicle and generate the first sub-item information. At the same time, in order to further improve the accuracy of the analysis of the target vehicle's stay time, the target vehicle's historical stay data set is obtained. By analyzing the target vehicle's historical stay time, the parking habits of the target vehicle occupants can be analyzed, and then the second sub-item information is generated. In combination with the first sub-item information, the predicted stay time of the target vehicle is further determined, and then based on the first sub-item information and the second sub-item information, the target vehicle's predicted stay time is further determined. , generate thermal analysis information, collect several thermal analysis information, judge which areas of the parking lot have a large number of parked vehicles and a long parking time, and then generate real-time thermal parking areas. Based on the real-time thermal parking areas, generate parking diversion paths. After the real-time thermal parking areas are generated, the real-time thermal parking area information can be uploaded to the cloud. Drivers entering the parking lot can obtain the parking diversion path corresponding to the real-time thermal parking area through the vehicle system (with the Internet of Vehicles function) or the application connected to the cloud. According to the parking diversion path, drive the vehicle to the designated parking area. At the same time, the real-time thermal parking area will be updated in real time, thereby improving the real-time performance of the diversion parking space; the method and system can accurately analyze and predict the departure time of the vehicle in a multi-modal manner, provide rich decision-making support, facilitate real-time grasp of the idle parking spaces in the parking lot, and generate scientific and reasonable diversion plans based on this, which is helpful to guide drivers to quickly find idle parking spaces and significantly improve the utilization rate of the parking lot. Through data analysis, parking lot managers can deeply understand the operation status of the parking lot, discover potential problems, and take corresponding management measures to improve the management level of the parking lot.

[0042] In order to load the above-mentioned method and system and enable it to run smoothly, the system, in addition to the various modules mentioned above, may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0043] The processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the system, and various interfaces and lines are used to connect various parts.

[0044] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0045] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0046] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A public parking lot diversion method based on correlation information prediction, characterized in that: The method comprises: Collecting parking location information of targeted vehicles; Obtaining the targeted vehicle crew information and generating the first sub-item information; Obtaining a historical data set of target vehicle stays and generating second sub-item information; Generate thermal analysis information based on the first sub-item information and the second sub-item information; Collect some thermal analysis information and generate real-time thermal parking areas; Generate parking diversion paths based on real-time thermal parking areas; Update real-time thermal parking areas; The obtaining of the targeted vehicle occupant information and generating the first sub-item information specifically includes: Based on the parking position information of the targeted vehicle, matching and acquiring the real-time image of the parking position of the targeted vehicle; Identify occupant images in real-time images of the parking position of the targeted vehicle; Identify the gender and age information of the occupant image; If at least one of the age information of the plurality of occupant images has age information less than the age threshold, generating first-level thermal information; If there is at least one female gender information in the gender information of the multiple occupant images, generating secondary thermal information; If at least one of the age information of the multiple occupant images has age information less than the age threshold and at least one of the gender information of the multiple occupant images has female gender information, the third-level thermal information is generated; The step of obtaining the historical stop data set of the targeted vehicle and generating the second sub-item information specifically includes: Identify the license plate information of the targeted vehicle; Retrieve and obtain the historical single-stop duration of targeted license plate information; Calculate the median length of a single stay in history; Determine whether the median value is greater than the stay time threshold; If the median value is greater than the residence time threshold, additional thermal information is generated.

2. The public parking lot diversion method based on association information prediction according to claim 1 is characterized in that: The generating of the thermal analysis information based on the first sub-item information and the second sub-item information specifically includes: Based on the primary thermal information, generate the first thermal sub-point a; Based on the secondary thermal information, a second thermal sub-point b is generated; Based on the third-level thermal information, a third thermal sub-point c is generated; Retrieve additional thermal information and obtain the corresponding point d of the additional thermal information.

3. The method for diverting traffic in a public parking lot based on prediction of associated information according to claim 2, characterized in that: The collecting of a plurality of thermal analysis information and generating a real-time thermal parking area specifically includes: Set the basic thermal value of the first thermal sub-point a to 1; Set the basic thermal value of the second thermal sub-point b to 5; Set the base thermal value of the third thermal sub-point c to 10; Set several sub-area ranges G; Calculate the total thermal value of the sub-area range G ; Among them, the total thermal value of the sub-region range G The calculation process is: ； In the formula, the vehicle set in the sub-area range G is , per vehicle The basic heat value is ; Search whether there is a corresponding point d of thermal additional information within the sub-region range G; If there is a corresponding point d of thermal additional information in the sub-region G, the total thermal value of the sub-region G is 1.3 ; Set up high heat areas ≥70, medium thermal area 30≤ ≤70, low thermal area <30.

4. A public parking lot diversion system based on correlation information prediction, characterized in that: The method for diverting traffic in a public parking lot based on prediction of associated information as described in any one of claims 1 to 3 is applied, and the system comprises: The first acquisition module is used to acquire the parking position information of the targeted vehicle; The first acquisition module is used to obtain the targeted vehicle crew information. A first generating module, used to generate first sub-item information; The second acquisition module is used to acquire the historical stay data set of the targeted vehicle; A second generating module, used to generate second sub-item information; A third generating module, used for generating thermal analysis information based on the first sub-item information and the second sub-item information; The second acquisition module is used to collect a number of thermal analysis information; A fourth generation module, for generating a real-time thermal parking area; A fifth generation module, for generating a parking diversion path based on the real-time thermal parking area; An update module, used to update the real-time thermal parking area; The first acquisition module specifically includes: A matching and acquiring unit, used for matching and acquiring a real-time image of a parking position of a targeted vehicle based on the parking position information of the targeted vehicle; A first recognition unit is used to recognize an image of an occupant in a real-time image of a parking position of a targeted vehicle; a second recognition unit, used to recognize gender information and age information of the passenger image; A first generating unit, configured to generate primary thermal information if at least one of the age information of the plurality of occupant images has age information less than an age threshold; A second generating unit, configured to generate secondary thermal information if at least one female gender information exists in the gender information of the plurality of passenger images; A third generating unit, configured to generate third-level thermal information if at least one of the age information of the plurality of occupant images has age information less than an age threshold and at least one of the gender information of the plurality of occupant images has female gender information; The second acquisition module specifically includes: A third recognition unit is used to recognize the license plate information of the targeted vehicle; A retrieval and acquisition unit, used to retrieve and obtain the historical single stay duration of the targeted license plate information; A calculation unit, used to calculate the median value of the historical single stay duration; A judgment unit, used to judge whether the median value is greater than a stay time threshold; The fourth generating unit is used to generate thermal additional information if the median value is greater than the residence time threshold.

5. The public parking lot diversion system based on correlation information prediction according to claim 4 is characterized in that: The third generation module specifically includes: A fifth generating unit, used for generating a first thermal sub-point a based on the primary thermal information; A sixth generating unit, used for generating a second thermal sub-point b based on the secondary thermal information; A seventh generating unit, used for generating a third thermal sub-point c based on the third-level thermal information; A retrieval unit, used for retrieving additional thermal information; The acquisition unit is used to obtain the corresponding point d of the additional thermal information.

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