Installation and debugging method and system of parking space guiding system

Abstract

According to the installation and debugging method and system of the parking space guiding system, under the condition that the actual installation position of the video detector cannot be obtained, the number of the parking space is recognized through the video detector, and the parking lot drawing is combined for comparison, so that the video detector can be automatically and efficiently positioned at the position of the parking lot drawing; installation and debugging of the parking space guiding system are realized. The method comprises the following steps: S1, processing a received parking lot drawing, and extracting feature data; s2, the video detector is installed according to the feature data, the video detector recognizes the number of the parking space right opposite to the video detector after being powered on, and the number is defined as the recognized parking space number; s3, receiving a device ID and an identification parking space number sent by the video detector; s4, acquiring a corresponding relation between the video detector and map parking space number information; and S5, if the corresponding relationship is one-to-one correspondence, determining that the installation and debugging are successful, otherwise, performing exception processing until the corresponding relationship is one-to-one correspondence.

Description

Technical Field

[0001] This invention relates to the field of parking guidance technology, and in particular to an installation and commissioning method and system for a parking guidance system. Background Technology

[0002] For large parking lots, there is a problem of difficulty in finding the car. Currently, most parking lots use parking guidance systems to solve this problem.

[0003] The parking guidance system is installed and debugged through the following steps: 1. The project owner provides construction drawings. After receiving the drawings, the pre-sales team marks the installation locations of the video detectors (PVD devices) on the drawings and prints the drawings for the construction team; 2. The third-party construction team installs the PVD devices on-site according to the drawings and manually records the association between parking space numbers and parking space IDs using a table; 3. After construction is completed, customer service personnel use the table to import the map into the parking guidance system backend and confirm the device IDs and their locations on-site; 4. Parking spaces are marked on the map, associated with the PVD devices, and a recognition area is drawn for each parking space; 5. On-site debugging and troubleshooting. Only after these steps can the installation and debugging of the parking guidance system be completed.

[0004] However, the above steps have the following drawbacks: 1. Manual operation is cumbersome and prone to errors. On the one hand, after the construction team installs the equipment on-site, they manually record the correspondence between PVD and parking spaces. The information transmission chain is long and prone to initial errors. On the other hand, customer service personnel need to remotely and manually verify a large amount of information, which presents difficulties in data verification. Moreover, when binding the equipment and parking spaces in the backend, the operation is complex and prone to confusion due to misoperation; 2. The process is disconnected and collaboration is inefficient. On the one hand, the parking space numbering management is chaotic. For example, the time point for determining the parking space number is not uniform, and parking spaces may be added or deleted at any time on-site. This leads to frequent changes in the numbering, causing a lot of rework for the previously completed map drawing and binding work. On the other hand, the responsibilities of the construction team and customer service are unclear. Since the construction team, as the party most familiar with the site conditions, leaves after completing the installation, the accuracy of the information records depends entirely on their sense of responsibility. The subsequent customer service team can only work based on second-hand information. Once an error occurs, the communication and rework costs are extremely high. 3. There are limitations in the technology and system. The debugging method of using "markers (vehicles or people)" not only requires the cooperation of at least two people, but is also subject to objective conditions such as whether there are vehicles or empty spaces on site, resulting in poor applicability.

[0005] Therefore, how to improve existing parking guidance technology to solve the above problems has become an important technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0006] This invention discloses an installation and debugging method and system for a parking guidance system. When the actual installation location of the video detector is unknown, the method identifies the parking space number by the video detector and compares it with the parking lot map. This enables automated and efficient positioning of the video detector on the parking lot map, thus realizing the installation and debugging of the parking guidance system and solving the problems existing in the prior art.

[0007] The installation and commissioning method of the parking guidance system provided by the present invention includes: S1: Process the received parking lot map and extract feature data, which includes at least video detector installation location information, parking space information and map parking space number information; S2: Install the video detector according to the feature data. After the video detector is powered on, it identifies the number of the parking space it is facing, which is defined as identifying the parking space number. S3: Receive the device ID and identified parking space number sent by the video detector; S4: Based on the feature data, the device ID, and the identified parking space number, obtain the correspondence between the video detector and the map parking space number information; S5: If the video detector and the parking space number are in a one-to-one correspondence with the map parking space number information, then the installation and debugging are successful; otherwise, proceed to step S6. S6: Perform exception handling until the correspondence is one-to-one; S7: Generate a parking space identification area corresponding to the parking space number information on the map.

[0008] Preferred, Step S1 includes: Identify information from parking lot maps and record information such as the installation location of video detectors, parking space information, and map parking space number information; Record the installation location information of the video detectors in layer A, and record the parking space information and map parking space number information in layer B; Combine layer A and layer B into a standardized diagram; Extract the video detector installation location information from layer A and / or extract parking space information and parking space number information records from layer B as feature data.

[0009] Preferred, Step S1 includes: The parking lot drawings are pre-made CAD format drawings according to the set layer rules, and include parking space layers, parking space number layers and video detector layers; Structured data is extracted from each layer of the parking lot drawing and automatically matched to the parking space layer as feature data.

[0010] Preferred, Automatically matching the structured data to the parking space layer includes: The structured data includes the geometric coordinates, shape information and description information of each element, and the elements include parking space, parking space number and the planned installation location of the video detector. Extract the geometric center coordinates of the parking space and automatically bind the parking space number according to the coordinate distance relationship.

[0011] Preferred, If the parking lot drawing includes a parking lot map image, then based on the input parking lot map image and the world coordinate positions of the four corner points of the parking lot map image in the parking lot drawing, the parking space coordinates are converted into pixel coordinates in the parking lot map image.

[0012] Preferred, Step S7 includes: Obtain a list of the correspondence between video detectors and parking spaces; Traverse the video detectors, perform image recognition on the images they report, obtain the image planning recognition area, and output the coordinates of the recognition area; Based on the positional relationship between the image planning recognition area and the parking space number, the parking space number is automatically bound; Receive the coordinates of the recognition area and convert them into pixel coordinates; The pixel coordinates are then sent to the corresponding video detectors for configuration, until the planning of all video detectors is completed.

[0013] Preferred, Step S6 includes: Anomalies may occur where there is a many-to-one relationship between the video detector and the map parking space number information, or where the identified parking space number is inconsistent with the map parking space number information. If there is a many-to-one relationship between the video detector and the map parking space number information, the image data captured by multiple video detectors corresponding to the map parking space number information will be compared. The video detector corresponding to the parking space number that is closest to the center will be extracted from the image data and matched with the map parking space number information. If the identified parking space number does not match the parking space number information on the map, it will be handled manually.

[0014] Step S4 is followed by: Based on the correspondence between video detectors and parking space numbers on the map, the device IDs of each video detector are entered into the video detector installation location information on the parking lot drawing.

[0015] The present invention also discloses an installation and debugging system for a parking guidance system, used in the above-mentioned installation and debugging method for a parking guidance system, comprising: a drawing parsing module, a hardware data receiving module, an intelligent association engine, a conflict handling module, and a recognition area generation module; The drawing parsing module is used to import parking lot drawings, process them, and extract feature data. The hardware data receiving module, acting as a server, is used to receive data packets reported by all hardware devices in the parking lot via the network. The intelligent association engine uses the parking space number as the primary key to match and bind data from parking lot maps and video detectors. The conflict handling module is a human-computer interaction module used to handle abnormalities in the correspondence between the video detector, the identified parking space number and the map parking space number information. The recognition area generation module realizes intelligent planning of the parking space recognition range and image planning recognition area, and sends the coordinates of the image planning recognition area to the video detector.

[0016] Preferred, The drawing parsing module is a CAD parsing module.

[0017] The installation and debugging method of the parking guidance system of the present invention includes: S1: processing the received parking lot map and extracting feature data, wherein the feature data includes at least video detector installation location information, parking space information and map parking space number information; S2: installing the video detector according to the feature data, wherein the video detector identifies the number of the parking space it faces after being powered on, and defines it as the identified parking space number; S3: receiving the device ID and the identified parking space number sent by the video detector; S4: obtaining the correspondence between the video detector and the map parking space number information according to the feature data, the device ID and the identified parking space number; S5: if the correspondence between the video detector, the identified parking space number and the map parking space number information is one-to-one, then the installation and debugging is successful; otherwise, proceed to step S6; S6: performing anomaly handling until the correspondence is one-to-one; S7: generating a parking space identification area corresponding to the map parking space number information. In situations where the actual installation location of the video detector is unknown, the installation and debugging method and system of the parking guidance system of the present invention can automatically and efficiently locate the video detector on the parking lot map by identifying the parking space number through the video detector and comparing it with the parking lot map, thereby realizing the installation and debugging of the parking guidance system and solving the problems existing in the prior art. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of the first embodiment of the installation and commissioning method of the parking guidance system of the present invention; Figure 2 This is a flowchart of the second embodiment of the installation and commissioning method of the parking guidance system of the present invention; Figure 3 This is a schematic diagram of the installation and commissioning system of the parking guidance system of the present invention. Detailed Implementation

[0020] This invention discloses an installation and debugging method and system for a parking guidance system. When the actual installation location of the video detector is unknown, the method identifies the parking space number by the video detector and compares it with the parking lot map. This enables automated and efficient positioning of the video detector on the parking lot map, thus realizing the installation and debugging of the parking guidance system and solving the problems existing in the prior art.

[0021] The technical solutions of the embodiments of the present invention will be clearly and thoroughly described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention. Please refer to... Figure 1 The first embodiment of the installation and commissioning method for the parking guidance system provided by the present invention includes: S1: Process the received parking lot map and extract feature data, which includes at least video detector installation location information, parking space information and map parking space number information; Before installing and debugging a parking guidance system, it is necessary to obtain the parking lot's blueprints. Generally, parking lot blueprints contain a lot of information, such as parking space information (used to delineate parking space recognition zones), parking space numbers, video detector installation location information (used to install video detectors for parking guidance), and additional information such as electrical rooms. Therefore, the parking lot blueprints need to be processed to extract useful information. Specifically, this may include: identifying the information on the parking lot blueprints; recording the video detector installation location information, parking space information, and map parking space number information; recording the video detector installation location information on layer A, and the parking space information and map parking space number information on layer B; and integrating layers A and B into a standardized diagram. It should be noted that other information on the parking lot blueprints that is not currently needed can be placed on layer C for later use; this is not limited here. The above-mentioned feature data extraction may specifically include: extracting the video detector installation location information from layer A and / or extracting the parking space information and parking space number information from layer B as feature data.

[0022] It should be noted that, for easier and more efficient installation and debugging of the line-of-sight parking guidance system, users can be requested to create CAD drawings according to the specified layer requirements. The elements of each layer in these CAD drawings have been standardized; for example, the parking space layer only contains data for each parking space, the parking space number layer only contains parking space number data, and the video detector layer contains the planned installation coordinates for each video detector. Furthermore, each element records corresponding geometric coordinate information, shape information, and descriptive information. In this case, this step can include: extracting structured data from each layer of the parking lot drawing, and automatically matching the structured data to the parking space layer as feature data. Specifically, automatically matching the structured data to the parking space layer can include: the structured data contains the geometric coordinate information, shape information, and descriptive information of each element, and the element contains the parking space, parking space number, and the planned installation position of the video detector; extracting the geometric center coordinates of the parking space, and automatically binding the parking space number according to the coordinate distance relationship. If the parking lot drawing includes a parking lot map image, then based on the input parking lot map image and the world coordinate positions of the four corner points of the parking lot map image in the parking lot drawing, the parking space coordinates are converted into pixel coordinates in the parking lot map image.

[0023] It should be noted that the purpose of processing the received parking lot drawings is to transform the parking lot drawings provided by the customer into standard drawings that the parking guidance system can directly access. After the standard drawings are imported into the parking guidance system, the system can directly read the parking spaces, parking space numbers, and video detector pre-installation point information in the drawings.

[0024] S2: Install the video detector according to the feature data. After the video detector is powered on, it identifies the number of the parking space it is facing, which is defined as identifying the parking space number. As described above, the parking guidance system can directly read the pre-installation point information of video detectors in the parking lot drawings. Therefore, installing the video detectors based on the characteristic data can include randomly installing the video detectors at various installation locations. It should be noted that this invention addresses this random installation of video detectors, which is currently the mainstream installation method for parking guidance systems, saving installation time for workers.

[0025] After installing the video detector, power it on. The detector will then identify the parking space number it directly faces, defining this as the parking space number identification. Specifically: from the image data acquired by the video detector, the portion of the image showing the directly facing parking space is selected as the information to be identified. Combining the font and style of the parking space number, image recognition is performed on the information to be identified; the identified parking space number is then obtained from the information to be identified. For example, if the image acquired by the video detector shows three parking spaces, only the middle parking space needs to be identified; the other parking spaces are considered invalid data. It should be noted that combining the font and style of the parking space number is optional; this process can improve the image recognition rate, but it is possible to achieve the desired result without it.

[0026] In addition, it must be pointed out that the process of identifying the parking space number directly opposite can be completed either by the video detector or by the video detector acquiring image information and sending it to the parking guidance system. The specific design can be based on actual needs and is not limited here.

[0027] S3: Receive the device ID and identified parking space number sent by the video detector; When the process of identifying the parking space number directly opposite it is completed on the video detector, the video detector can send the identified parking space number and its own device ID to the parking guidance system. With these two key pieces of information, the parking guidance system can determine the location of the video detector on the parking lot map.

[0028] S4: Based on the feature data, the device ID, and the identified parking space number, obtain the correspondence between the video detector and the map parking space number information; First, it should be noted that the map parking space number directly opposite the video detector on the parking lot map corresponds one-to-one with the parking space number identified by the video detector in the actual parking lot. However, there may be situations where two adjacent video detectors correspond to the same parking space number. In such cases, the parking guidance system can intelligently identify and resolve the issue, or manual intervention can be used; no specific limitation is made here. The specific method for obtaining the correspondence is as follows: obtain the map parking space number information through feature data; compare the map parking space number information with the identified parking space number to obtain the comparison result; based on the device ID and the comparison result, obtain the position of the video detector on the parking lot map, i.e., the correspondence between the video detector and the map parking space number information.

[0029] It should be noted that, generally speaking, the parking space number information on the parking lot map is consistent with the actual parking space number in the parking lot. Therefore, by comparing the parking space number information on the map with the identified parking space number, the location of the video detector in the parking lot map can be determined.

[0030] S5: If the video detector and the parking space number are in a one-to-one correspondence with the map parking space number information, then the installation and debugging are successful; otherwise, proceed to step S6. If the correspondence between the video detectors, the identified parking space numbers, and the map parking space numbers is one-to-one, it proves that all video detectors have been correctly connected and correctly identified the corresponding parking space numbers, meaning that the installation and debugging process has been successfully completed. Otherwise, it proves that there are two adjacent video detectors corresponding to one parking space number, or that the identified parking space number does not correspond to the map parking space number information, in which case an anomaly needs to be handled.

[0031] S6: Perform exception handling until the correspondence is one-to-one; It should be noted that different methods can be selected to handle different abnormal situations. For example, if there is a many-to-one relationship between the video detector and the map parking space number information, method one can be used: compare the image data captured by multiple video detectors corresponding to the map parking space number information, and extract the image data where the identified parking space number is closest to the center, and the corresponding video detector is matched with the map parking space number information; method two can also be used: manual intervention.

[0032] If the identified parking space number does not match the parking space number information on the map, it can be handled manually.

[0033] Method one, the intelligent processing method of the parking guidance system, requires no human intervention but is susceptible to errors. This possibility can be reduced as the amount of data in the parking guidance system increases. Method two involves manual intervention, which offers high accuracy and virtually eliminates errors, but is time-consuming and labor-intensive. Depending on the specific circumstances, both methods can be combined, for example, using Method one first and then Method two for verification; this is not a limitation here.

[0034] S7: Generate a parking space identification area corresponding to the parking space number information on the map.

[0035] Once the video detector and the parking space number on the map are confirmed to be in a one-to-one correspondence, meaning that the installation and debugging are successful, a parking space recognition area corresponding to the parking space number on the map can be generated. The parking space recognition area is fundamental to the subsequent vehicle recognition and other tasks performed by the video detector. Subsequent parking guidance, vehicle recognition, and other functions all rely on the parking space recognition area.

[0036] Specifically, the parking space recognition area can be generated as follows: Obtain a list of correspondences between video detectors and parking spaces; traverse the video detectors, perform image recognition on their reported images to obtain the image-planned recognition area, and output the recognition area coordinates; automatically bind the parking space number according to the positional relationship between the image-planned recognition area and the parking space number; receive the recognition area coordinates and convert them into pixel coordinates; send the pixel coordinates to the corresponding video detectors for configuration, until the planning of all video detectors is completed. For example, return a set of pixel coordinates for parking space A02 within the recognition range of video detector ID 123: [(p1_x, p1_y), (p2_x, p2_y), (p3_x, p3_y), (p4_x, p4_y)]. This set of pixel coordinates can be sent to the video detector ID 123 for configuration via the network.

[0037] The installation and debugging method of the parking guidance system of the present invention includes: S1: processing the received parking lot map and extracting feature data, wherein the feature data includes at least video detector installation location information, parking space information and map parking space number information; S2: installing the video detector according to the feature data, wherein the video detector identifies the number of the parking space it faces after being powered on, and defines it as the identified parking space number; S3: receiving the device ID and the identified parking space number sent by the video detector; S4: obtaining the correspondence between the video detector and the map parking space number information according to the feature data, the device ID and the identified parking space number; S5: if the correspondence between the video detector, the identified parking space number and the map parking space number information is one-to-one, then the installation and debugging is successful; otherwise, proceed to step S6; S6: performing anomaly handling until the correspondence is one-to-one; S7: generating a parking space identification area corresponding to the map parking space number information. In situations where the actual installation location of the video detector is unknown, the installation and debugging method of the parking guidance system of the present invention, by identifying the parking space number through the video detector and comparing it with the parking lot map, can achieve automated and efficient positioning of the video detector on the parking lot map, thereby realizing the installation and debugging of the parking guidance system and solving the problems existing in the prior art.

[0038] The first embodiment of the installation and debugging method of the parking guidance system of the present invention has been described above. The second embodiment of the installation and debugging method of the parking guidance system of the present invention will be described below. Please refer to [link / reference]. Figure 2 The second embodiment of the installation and commissioning method of the parking guidance system of the present invention includes: First, it should be noted that the second embodiment of the present invention adds a new step compared to the first embodiment. This new step can be any step after step S4. The following description takes the new step after step S5 and before step S6 as an example. Other steps are similar to those in the first embodiment, so they will not be repeated in this embodiment.

[0039] A1: Process the received parking lot map and extract feature data, which includes at least video detector installation location information, parking space information and map parking space number information; A2: Install the video detector according to the feature data. After the video detector is powered on, it identifies the number of the parking space it is facing, which is defined as identifying the parking space number. A3: Receive the device ID and parking space number sent by the video detector; A4: Based on the feature data, the device ID, and the identified parking space number, obtain the correspondence between the video detector and the map parking space number information; A5: If the video detector and the parking space number are in a one-to-one correspondence with the map parking space number information, then the installation and debugging are successful and step A6 is executed; otherwise, step A7 is executed. A6: Based on the correspondence between video detectors and map parking space number information, fill in the device ID of each video detector in the video detector installation location information of the parking lot drawing; After successful installation and debugging, directly combine the correspondence between the video detectors and the parking space number information on the map, and fill in the device ID of each video detector in the video detector installation location information on the parking lot drawing. At this time, the device ID of the pre-installed point of the video detector on the parking lot drawing is the actual location of the video detector installed in the parking lot.

[0040] It should be noted that if this step is performed before step A5, then if the correspondence between the video detector and the map parking space number information is found to be non-unique, this step can only be performed after the correspondence between the video detector and the map parking space number information is adjusted to be unique.

[0041] A7: Perform exception handling until the correspondence is one-to-one; A8: Generate a parking space identification area corresponding to the parking space number information on the map.

[0042] In situations where the actual installation location of the video detector is unknown, the installation and debugging method of the parking guidance system of the present invention, by identifying the parking space number through the video detector and comparing it with the parking lot map, can achieve automated and efficient positioning of the video detector on the parking lot map, thereby realizing the installation and debugging of the parking guidance system and solving the problems existing in the prior art.

[0043] The second embodiment of the installation and debugging method of the parking guidance system of the present invention has been described above. The following describes an embodiment of the installation and debugging system of the parking guidance system of the present invention. Please refer to [link / reference]. Figure 3 The installation and commissioning system embodiment of the parking guidance system of the present invention is used in the above-mentioned installation and commissioning method of the parking guidance system, including: Drawing parsing module 1, hardware data receiving module 2, intelligent association engine 3, conflict handling module 4, and recognition area generation module 5; The drawing parsing module 1 is used to import parking lot drawings, process them, and extract feature data. The hardware data receiving module 2, as a server, is used to receive data packets reported by all hardware devices in the parking lot via the network. The intelligent association engine 3 uses the parking space number as the primary key to match and bind data from parking lot maps and video detectors. The conflict handling module 4 is a human-computer interaction module used to handle abnormalities in the correspondence between the video detector, the identified parking space number and the map parking space number information. The recognition area generation module 5 realizes intelligent planning of the parking space recognition range and image planning recognition area, and sends the coordinates of the image planning recognition area to the video detector.

[0044] In this embodiment of the invention, the specific operation of the conflict handling module 4 can be as follows: When the intelligent association engine 3 detects a conflict, the system's visualization module highlights the video detector icon in red; then it waits for manual triggering. When the operator sees the list of items to be verified, they can click to perform manual verification, and then a "three-in-one" verification interface will be generated, that is, a dedicated verification window will be generated on the front end; then multi-source data will be aggregated and displayed, for example, the following can be displayed simultaneously: a. Real-time video stream from the video detector, where the operator can see with their own eyes what the parking space facing the video detector looks like, and whether the number painted on it is clearly visible to the naked eye; b. Identification data, the number reported by the video detector: for example, A-01; c. Parking lot drawing data: drawing planning number: for example, A-02; finally, manual judgment is made, and the operator quickly makes a judgment based on the complete information provided by the interface: a. Case 1: If the video clearly shows that the parking space number is indeed "A-01", and the identified parking space number is "A-01", but the drawing is "A-02", then the operator can judge that the drawing is wrong and manually correct it; b. Scenario 2: If the video shows the parking space number as "A-02" and the drawing also shows "A-02", but the video detector misidentifies it (reports "A-01"), the operator will determine that the identification is wrong and manually correct it.

[0045] Preferred, The drawing parsing module is a CAD parsing module.

[0046] The installation and debugging system for the parking guidance system of this invention includes: a drawing parsing module 1, a hardware data receiving module 2, an intelligent association engine 3, a conflict handling module 4, and a recognition area generation module 5. The drawing parsing module 1 is used to import parking lot drawings, process them, and extract feature data. The hardware data receiving module 2, acting as a server, receives data packets reported by all hardware devices in the parking lot via the network. The intelligent association engine 3 uses the parking space number as the primary key to match and bind data from the parking lot drawings and video detectors. The conflict handling module 4 is a human-computer interaction module used to handle abnormal correspondences between the video detector, the identified parking space number, and the map parking space number information. The recognition area generation module 5 intelligently plans the parking space recognition range and the image-planned recognition area, and sends the coordinates of the image-planned recognition area to the video detector. In situations where the actual installation location of the video detector is unknown, the installation and debugging system of this invention, by using the video detector to identify the parking space number and comparing it with the parking lot drawings, can automatically and efficiently locate the video detector on the parking lot drawings, thus enabling the installation and debugging of the parking guidance system and solving the problems existing in the prior art.

[0047] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

Claims

1. A method for installing and debugging a parking guidance system, characterized in that, include: S1: Process the received parking lot map and extract feature data, which includes at least video detector installation location information, parking space information and map parking space number information; S2: Install the video detector according to the feature data. After the video detector is powered on, it identifies the number of the parking space it is facing, which is defined as identifying the parking space number. S3: Receive the device ID and identified parking space number sent by the video detector; S4: Based on the feature data, the device ID, and the identified parking space number, obtain the correspondence between the video detector and the map parking space number information; S5: If the video detector and the parking space number are in a one-to-one correspondence with the map parking space number information, then the installation and debugging are successful; otherwise, proceed to step S6. S6: Perform exception handling until the correspondence is one-to-one; S7: Generate a parking space identification area corresponding to the parking space number information on the map.

2. The installation and commissioning method of the parking guidance system according to claim 1, characterized in that, Step S1 includes: Identify information from parking lot maps and record information such as the installation location of video detectors, parking space information, and map parking space number information; Record the installation location information of the video detectors in layer A, and record the parking space information and map parking space number information in layer B; Combine layer A and layer B into a standardized diagram; Extract the video detector installation location information from layer A and / or extract parking space information and parking space number information records from layer B as feature data.

3. The installation and commissioning method of the parking guidance system according to claim 1, characterized in that, Step S1 includes: The parking lot drawings are pre-made CAD format drawings according to the set layer rules, and include parking space layers, parking space number layers and video detector layers; Structured data is extracted from each layer of the parking lot drawing and automatically matched to the parking space layer as feature data.

4. The installation and commissioning method of the parking guidance system according to claim 3, characterized in that, Automatically matching the structured data to the parking space layer includes: The structured data includes the geometric coordinates, shape information and description information of each element, and the elements include parking space, parking space number and the planned installation location of the video detector. Extract the geometric center coordinates of the parking space and automatically bind the parking space number according to the coordinate distance relationship.

5. The installation and commissioning method of the parking guidance system according to claim 4, characterized in that, If the parking lot drawing includes a parking lot map image, then based on the input parking lot map image and the world coordinate positions of the four corner points of the parking lot map image in the parking lot drawing, the parking space coordinates are converted into pixel coordinates in the parking lot map image.

6. The installation and commissioning method of the parking guidance system according to claim 5, characterized in that, Step S7 includes: Obtain a list of the correspondence between video detectors and parking spaces; Traverse the video detectors, perform image recognition on the images they report, obtain the image planning recognition area, and output the coordinates of the recognition area; Based on the positional relationship between the image planning recognition area and the parking space number, the parking space number is automatically bound; Receive the coordinates of the recognition area and convert them into pixel coordinates; The pixel coordinates are then sent to the corresponding video detectors for configuration, until the planning of all video detectors is completed.

7. The installation and commissioning method of the parking guidance system according to any one of claims 1 to 6, characterized in that, Step S6 includes: Anomalies may occur where there is a many-to-one relationship between the video detector and the map parking space number information, or where the identified parking space number is inconsistent with the map parking space number information. If there is a many-to-one relationship between the video detector and the map parking space number information, the image data captured by multiple video detectors corresponding to the map parking space number information will be compared. The video detector corresponding to the parking space number that is closest to the center will be extracted from the image data and matched with the map parking space number information. If the identified parking space number does not match the parking space number information on the map, it will be handled manually.

8. The installation and commissioning method of the parking guidance system according to any one of claims 1 to 6, characterized in that, Step S4 is followed by: Based on the correspondence between video detectors and parking space numbers on the map, the device IDs of each video detector are entered into the video detector installation location information on the parking lot drawing.

9. An installation and commissioning system for a parking guidance system, used in the installation and commissioning method of the parking guidance system according to any one of claims 1 to 7, characterized in that, include: The module includes a drawing parsing module, a hardware data receiving module, an intelligent association engine, a conflict resolution module, and a recognition area generation module. The drawing parsing module is used to import parking lot drawings, process them, and extract feature data. The hardware data receiving module, acting as a server, is used to receive data packets reported by all hardware devices in the parking lot via the network. The intelligent association engine uses the parking space number as the primary key to match and bind data from parking lot maps and video detectors. The conflict handling module is a human-computer interaction module used to handle abnormalities in the correspondence between the video detector, the identified parking space number and the map parking space number information. The recognition area generation module realizes intelligent planning of the parking space recognition range and image planning recognition area, and sends the coordinates of the image planning recognition area to the video detector.

10. The installation and commissioning method of the parking guidance system according to claim 9, characterized in that, The drawing parsing module is a CAD parsing module.

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