Underground garage vehicle searching system based on optical symbol recognition technology matching engineering drawing

Abstract

The invention discloses an underground garage vehicle searching system based on optical symbol recognition technology matching engineering drawings, and relates to the technical field of intelligent vehicle searching. According to the invention, a preset plane map module is used for analyzing vector data of a DWG or PDF file to obtain key positioning information of a garage, wherein the key positioning information comprises topological relation data and relative coordinate position data of parking space codes; the reverse vehicle searching module receives the user initial point information, matches the initial position coordinates with the parking position coordinates on a planar map, and generates a guide map; according to the feedback path, key parking space numbers and character identifiers of advancing routes are used as routes, and the current position and the advancing direction are judged and determined in combination with the visual function of people, so that the current position is recognized and repositioned more simply and quickly; the reverse vehicle searching efficiency of the vehicle owner is improved, and the problem that reverse vehicle searching of the underground garage is difficult is solved.

Description

Technical Field

[0001] The invention belongs to the technical field of intelligent car search, and in particular relates to an underground garage car search system based on optical symbol recognition technology to match engineering drawings. Background Art

[0002] At present, many large shopping malls provide large underground garages for car owners to meet their parking needs. However, it is easy to park but difficult to find the car, which has always been a pain point for car owners. Moreover, due to the weak GPS signal, it has always been a huge difficulty to find the car in the complex underground garage.

[0003] In order to solve this problem, the current patent library includes the following technical solutions: as disclosed in patent CN114141042A, based on wireless radio frequency technology, the navigation guidance route can be calculated according to the current position signal and the bound parking space number and transmitted to the smart parking card through the radio frequency signal receiving device so that the owner can return to find the car; as disclosed in patent CN110310508A, the smart parking terminal system based on Beidou assistance includes a Beidou enhancement module and a mobile phone terminal, which first establishes a parking space database for the parking terminal system; then the parking terminal system connects to the mobile phone via Bluetooth, receives the positioning information sent by the mobile phone, integrates the Beidou positioning information, and obtains vehicle position information with higher accuracy: then the real-time position information of the vehicle is obtained through the parking terminal system, and the parking space database information is updated: finally, the mobile terminal displays the APP, displays the real-time information of the parking space database in real time, and feeds back the parking space information to all users. For example, patents CN114913705A and CN114973754 A provide a vehicle positioning method and system based on Bluetooth AOA, which can quickly obtain the vehicle location through the garage camera, track the parking position or approximate parking position of the target vehicle through the garage camera, locate the mobile terminal through the positioning module, and guide the owner to the parking position or approximate parking position. For another example, patent CN114937370A, which is based on a method of network equipment, the owner terminal accesses the wireless network created by the network equipment and accesses the car search service of the SDN controller; the SDN controller determines the MAC address of the owner terminal, and queries the preset database based on the MAC address to determine the parking space number associated with the MAC address. For example, patent CN112818895A, a parking position recording system and method based on image recognition, including a navigation / map module, a vehicle-mounted camera device, a vehicle-mounted image processing controller, a vehicle-mounted compass module, a controller and a user terminal APP. The invention can intelligently record the vehicle parking position based on the vehicle device / equipment capabilities to help users quickly obtain parking information; patent CN116434589 A, an intelligent vehicle search method receives a vehicle search request, reads the image data of the external device camera in real time, and obtains real-time image information: the current position of the external device camera is matched on a preset three-dimensional map through the real-time image information to obtain the real-time position of the current position on the three-dimensional map. The three-dimensional map is a map drawn based on the data captured by the vehicle camera from the vehicle entering the parking lot to the parking position, and a guide route is generated based on the real-time position on the three-dimensional map and the parking position in the three-dimensional map.

[0004] For another example, CN113299111B discloses a method, system and storage medium for finding a car in an underground garage. This technology only provides a route, but does not explain a solution for synchronously updating the position and direction. Furthermore, since the mobile phone APP cannot synchronize the user's current position and direction of travel on the route map in the underground garage, the direction marked on the route map cannot effectively provide guidance for the user's direction of travel. It can be analyzed that finding a car in an underground garage is necessary only when the garage area is large, and the parking space number is small. The user needs to repeatedly zoom in, pan, and zoom out on the mobile phone screen, and check the parking space number on the mobile phone, and then check the parking space number on the ground of the parking space for comparison and confirmation, which is a very cumbersome and inefficient operation.

[0005] It can be seen that in the above technical solutions: on the one hand, although Beidou satellites, Bluetooth, wireless radio frequency technology, network equipment and other methods can effectively help underground garages to find cars intelligently, these technologies require hardware equipment, resulting in additional high costs; on the other hand, creating three-dimensional maps based on on-board cameras and using external device cameras to match positions on three-dimensional maps also requires the vehicle itself to have on-board camera functions, and the maps taken by on-board cameras are not necessarily accurate; finally, the existing technology does not explain a solution for synchronously updating position and direction, and the operation is cumbersome and inefficient. Summary of the invention

[0006] The present invention provides an underground garage car search system based on optical character recognition technology matching engineering drawings, the system includes a preset plane map module, a parking position recording module and a reverse car search module; the preset plane map module uses vector data of DWG or PDF files to parse and obtain key garage positioning information, including topological relationship data and relative coordinate position data of parking space coding; the plane maps of each floor of the underground garage are obtained according to the DWG or PDF files, and these maps are stored in the plane map system. The car owner only needs to use a smart phone to take a photo of the corresponding parking space number, and use optical character recognition (OCR) technology to identify the parking space number; the reverse car search module receives the user's initial point information, matches the starting position coordinates with the parking position coordinates on the plane map, and Generate a guidance map; the reverse car search module utilizes the layer name characteristics and parking space coding characteristics in the vector data of the DWG or PDF file, and obtains the connected topological relationship of each parking space code and the feedback path of the directional relationship between the current position and the parking space based on the relative coordinates of the parking space coding text in the electronic drawing, i.e., the DWG or PDF file. The feedback path is based on the key parking space number and the text logo of the forward route as the route, and combines the human visual function and judgment to determine the current position and the forward direction for simpler and faster identification and relocation of the current position; finally, a guidance route is generated according to the owner's starting point and parking point, thereby improving the efficiency of the owner's reverse car search, so as to solve the pain point of reverse car search in underground garages, thereby solving the problem in the background technology.

[0007] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:

[0008] The underground garage car search system of the present invention based on optical symbol recognition technology matching engineering drawings includes a preset plane map module, a parking position recording module and a reverse car search module;

[0009] The preset plane map module provides a plane map for the parking position recording module and the reverse car search module; the preset plane map module uses vector data analysis of DWG or PDF files to obtain key positioning information of the garage, including topological relationship data and relative coordinate position data of parking space codes;

[0010] The parking position recording module provides the owner's parking position coordinates to the reverse vehicle search module;

[0011] The reverse car search module receives the user's initial point information, matches the starting position coordinates with the parking position coordinates on the plane map, and generates a guidance map; the reverse car search module uses the layer name characteristics and parking space coding characteristics in the vector data of the DWG or PDF file, and based on the relative coordinates of the parking space coding text in the electronic drawing, i.e., the DWG or PDF file, obtains the connected topological relationship of each parking space code and the feedback path of the directional relationship between the current position and the parking space. The feedback path is based on the key parking space number and the text mark of the forward route as the route, and combines the human visual function and judgment to determine the current position and the forward direction to make it simpler and faster to identify and relocate the current position.

[0012] Furthermore, the DWG or PDF file is divided into layer numbers and stored in a preset plane map module.

[0013] Furthermore, the parking position recording module uses optical character recognition (OCR) technology to recognize the parking space number image taken by the car owner on the smartphone to obtain the digital text of the parking space number, and calls the preset plane map module to match the parking space number in the plane map, and finally stores the parking point location information.

[0014] Furthermore, after receiving the parking space number picture taken by the car owner's smartphone, the reverse car search module uses optical character recognition (OCR) technology to recognize the picture to obtain the parking space number and match it with the plane map to obtain the starting point location information. According to different judgment conditions, it reminds the car owner that he is not in the garage, generates a floor crossing guidance route, and generates a plane car search guidance route.

[0015] Furthermore, if the car owner loses his position while walking, he can take a photo with his smartphone to obtain the starting point location information, quickly regenerate a new text mark based on the key parking space number and the route as a flat car search guide, find the parking space number along the way and reposition until the car is found successfully;

[0016] An underground garage car search system based on optical symbol recognition technology matching engineering drawings is proposed. A method for generating plane drawings according to engineering data is proposed. The plane maps of each floor of the underground garage are obtained according to the vector data of DWG or PDF files, and these maps are stored in the system; the vector data includes the topological relationship data and relative coordinate position data of the parking space coding.

[0017] In a feasible implementation manner, the following steps are specifically included:

[0018] Step 1.1: Analyze the file format of the engineering data, such as dwg, pdf, and convert it into the unified plane drawing storage format of the present invention.

[0019] Step 1.2: The floor plans are stored in hierarchical numbers, and the parking space number information in each floor plan is extracted.

[0020] The second aspect of the present invention provides a method for recording parking positions based on optical character recognition technology. According to the parking space number picture taken by the owner's smart phone, optical character recognition (OCR) technology is used to recognize the picture to obtain the digital text of the parking space number, and then match it with the parking space number in the plane map to determine the position of the parking point or starting point on the plane map.

[0021] In a feasible implementation manner, the following steps are specifically included:

[0022] Step 2.1: Receive a photo of the parking space number taken by the car owner using a smartphone.

[0023] Step 2.2: Use OCR technology to recognize the image and obtain the electronic text information of the parking space number.

[0024] Step 2.3: The electronic text information of the parking space number is matched with the preset floor plan map and stored.

[0025] The third aspect of the present invention provides a method for generating a guidance route by matching the starting point and the end point according to a plan drawing. After the parking space number is matched with the plan map, the method can respectively remind the owner that he is not in the garage, generate a floor crossing guidance route, and generate a planar car search guidance route according to different judgment conditions. If the owner loses his position while walking, the owner can take a photo again to obtain the starting point location information, quickly regenerate a new text mark based on the key parking space number and the forward route as a planar car search guidance route, find the parking space number along the way and reposition it until the car is successfully found.

[0026] Step 3.1: The parking space number information is matched with the floor plan map. If the parking space number is not in the floor plan map system, the owner is reminded that the parking space is in an incorrect underground garage and needs to find the correct underground garage. If the parking space number is in the system, proceed to the next step.

[0027] Step 3.2: Match the starting point location information with the plane map to determine whether the starting location coordinates and the parking location coordinates are in the same plane map. If they are not in the same plane map, generate a floor-crossing guidance route to guide the car owner to the correct floor. If they are in the same plane map, proceed to the next step;

[0028] Step 3.3: When the starting point and the parking lot are in the same plane map, a plane car search guidance route is generated and the parking space numbers along the way are displayed;

[0029] Specifically, the reverse car search module receives the user's initial point information, matches the starting position coordinates with the parking position coordinates on the plane map, and generates a guide map; the reverse car search module uses the layer name characteristics and parking space coding characteristics in the vector data of the DWG or PDF file, and obtains the connected topological relationship of each parking space code and the feedback path of the direction relationship between the current position and the parking space based on the relative coordinates of the parking space coding text in the electronic drawing, i.e., the DWG or PDF file. The feedback path is based on the key parking space number and the text mark of the forward route as the route, and combines the human visual function and judgment to determine the current position and the forward direction to make it easier and faster to identify and relocate the current position;

[0030] Step 3.4: If the owner loses his / her location while moving, he / she can take a photo again to obtain the starting point location information and repeat the above process until the car is found successfully.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] (1) The present invention does not need to manually process the garage map in the prior art, but directly uses the vector data of the DWG or PDF file to parse and obtain the key positioning information of the garage, which includes the topological relationship and relative coordinate position of the parking space code. It is more efficient and more accurate, and can make full use of the layer name characteristics of the vector data DWG or PDF file and the characteristics of the parking space code, as well as the relative coordinates of the parking space number text in the electronic drawing, to obtain the connected topological relationship of each parking space code and the direction relationship from the current position to the parking space;

[0033] (2) The feedback path of the present invention does not require the use of GPS, Beidou satellite, Bluetooth, wireless radio frequency technology, network equipment, etc., but is based on the key parking space number and the text mark of the forward route as the route. Combined with human visual function and judgment, it can determine the current position and the forward direction to more simply and quickly identify and relocate the current position. Compared with the existing technology, the cost of use is lower, and it does not rely on the creation of a three-dimensional map with a vehicle camera or the use of an external device camera. It has higher accuracy and is more convenient to operate;

[0034] (3) The plan map can be obtained quickly and easily through engineering data, reducing the cost of drawing or generating the plan map;

[0035] (4) By using smartphones, which almost all car owners have, as IoT devices, the cost of equipment procurement is greatly reduced;

[0036] (5) Regenerate guidance routes when the location is lost, with high fault tolerance and user-friendliness.

[0037] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0039] Figure 1 It is a principle diagram of a method corresponding to the underground garage car search system based on optical symbol recognition technology matching engineering drawings of the present invention;

[0040] Figure 2 is a schematic diagram of a feedback path in an embodiment of the present invention;

[0041] Figure 3 The present invention is a route map showing key parking space numbers and text labels of the route ahead on a smart phone in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] See also Figure 1As shown, the underground garage car search system based on optical symbol recognition technology matching engineering drawings of the present invention includes a preset plane map module, a parking position recording module and a reverse car search module;

[0044] The preset plane map module provides a plane map for the parking position recording module and the reverse car search module; the preset plane map module uses the vector data of the DWG or PDF file to parse and obtain the key positioning information of the garage, including the topological relationship data and relative coordinate position data of the parking space coding; this module can provide a plane drawing for the parking position recording module and the reverse car search module;

[0045] The parking location recording module provides the owner's parking location coordinates to the reverse car search module;

[0046] The reverse car search module receives the user's initial point information, matches the starting position coordinates with the parking position coordinates on the plane map, and generates a guidance map; the reverse car search module uses the layer name characteristics and parking space coding characteristics in the vector data of the DWG or PDF file, and obtains the connected topological relationship of each parking space code and the feedback path of the directional relationship between the current position and the parking space based on the relative coordinates of the parking space coding text in the electronic drawing, i.e., the DWG or PDF file. The feedback path is based on the key parking space number and the text mark of the forward route as the route, and combines the human visual function and judgment to determine the current position and the forward direction for simpler and faster identification and relocation of the current position.

[0047] Among them, the DWG or PDF file is divided into layer numbers and stored in the preset plane map module.

[0048] Among them, the parking location recording module uses optical character recognition (OCR) technology to recognize the parking space number picture taken by the car owner on the smartphone to obtain the digital text of the parking space number, and calls the preset plane map module to match the parking space number in the plane map, and finally stores the parking point location information.

[0049] Among them, after receiving the parking space number picture taken by the car owner's smartphone, the reverse car search module uses optical character recognition (OCR) technology to recognize the picture to obtain the parking space number and match it with the plane map to obtain the starting point location information. According to different judgment conditions, it reminds the car owner that he is not in the garage, generates a floor crossing guidance route, and generates a plane car search guidance route.

[0050] If the car owner loses his position while walking, he can take a photo with his smartphone to obtain the starting point information, and quickly generate a new text mark based on the key parking space number and the route as a flat car search guide until the car is found successfully.

[0051] An underground garage car search system based on optical symbol recognition technology matching engineering drawings is proposed. A method for generating plane drawings according to engineering data is proposed. The plane maps of each floor of the underground garage are obtained according to the vector data of DWG or PDF files, and these maps are stored in the system; the vector data includes the topological relationship data and relative coordinate position data of the parking space coding.

[0052] In a feasible implementation manner, the following steps are specifically included:

[0053] In a feasible implementation manner, the following steps are specifically included:

[0054] 1. Obtain the floor plan and its layer number based on the engineering data of the underground garage and store them in the system.

[0055] 2. The car owner uses a smartphone to take a photo of the parking space number when parking.

[0056] 3. After receiving the parking space number picture taken by the car owner's smartphone, use OCR technology to recognize the picture and obtain the parking space number information.

[0057] 4. The parking space number information is matched with the preset floor plan and stored.

[0058] 5. When the car owner enters the parking lot and starts to search for the car in reverse, take a picture of the parking space number near the starting point

[0059] 6. After receiving the parking space number picture taken by the car owner's smartphone, use OCR technology to recognize the picture to obtain the parking space number information of the starting point.

[0060] 7. The parking space number information of the starting point is matched with the system. If the parking space number is not in the system, the owner is reminded that the parking space is in the wrong underground garage and needs to find the correct underground garage. If the parking space number is in the system, proceed to the next step.

[0061] 8. Match the starting point location information with the floor map to determine whether the starting location coordinates and the parking location coordinates are in the same floor map. If they are not in the same floor map, generate a floor-crossing guidance route to guide the car owner to the correct floor. If they are in the same floor map, proceed to the next step

[0062] 9. When the starting point and the parking lot are in the same plane map, a plane car search guidance route is generated, and the parking space numbers along the way are displayed; specifically, the reverse car search module receives the user's initial point information, matches the starting position coordinates with the parking position coordinates on the plane map, and generates a guidance map; the reverse car search module uses the layer name characteristics and parking space coding characteristics in the vector data of the DWG or PDF file, and based on the relative coordinates of the parking space coding text in the electronic drawing, i.e., the DWG or PDF file, obtains the connected topological relationship of each parking space coding and the feedback path of the directional relationship between the current position and the parking space. The feedback path is based on the key parking space number and the text mark of the forward route as the route, and combines the human visual function and judgment to determine the current position and the forward direction for simpler and faster identification and relocation of the current position;

[0063] like Figure 2 As shown, it is a schematic diagram of a feedback path; the present invention cleverly proposes a series of key parking space number numbers and text labels of the forward route to be presented on the smart phone, such as Figure 3 The route shown (for example, 001 start - 002 turn right - 005 go straight - 009 turn right - 010 go straight - 016 turn left - 018 go straight - 030 arrive) is combined with human visual function and judgment to determine the current position and the direction of travel to make it easier and faster to identify and relocate the current position.

[0064] like Figure 3 As shown, it expresses a text mark as a route which is very convenient to view on a mobile phone. Each row of parking space numbers and text marks of the route serve as key information of the direction of travel. This method does not require zooming in and out, only sliding up and down is needed, and the parking space number and the direction of travel are clear and unambiguous. A guidance route can be formed by visually combining the parking space number of the user's current location. When the garage area is large, it can be easily viewed on the mobile phone.

[0065] 10. If the owner loses his or her location while moving, he or she can take a new photo to obtain the starting point location information and repeat the above process until the car is found successfully.

[0066] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An underground garage car search system based on optical symbol recognition technology matching engineering drawings, characterized in that: It includes a preset plane map module, a parking location recording module, and a reverse car search module; The preset plane map module provides a plane map for the parking position recording module and the reverse car search module; the preset plane map module uses vector data analysis of DWG or PDF files to obtain key positioning information of the garage, including topological relationship data and relative coordinate position data of parking space codes; The parking position recording module provides the owner's parking position coordinates to the reverse vehicle search module; The reverse car search module receives the user's initial point information, matches the starting position coordinates with the parking position coordinates on the plane map, and generates a guidance map; the reverse car search module uses the layer name characteristics and parking space coding characteristics in the vector data of the DWG or PDF file, and based on the relative coordinates of the parking space coding text in the electronic drawing, i.e., the DWG or PDF file, obtains the connected topological relationship of each parking space code and the feedback path of the directional relationship between the current position and the parking space. The feedback path is based on the key parking space number and the text mark of the forward route as the route, and combines the human visual function and judgment to determine the current position and the forward direction to make it simpler and faster to identify and relocate the current position.

2. The underground garage car search system based on optical symbol recognition technology matching engineering drawings according to claim 1 is characterized in that: The DWG or PDF file is divided into layer numbers and stored in a preset plane map module.

3. The underground garage car search system based on optical symbol recognition technology matching engineering drawings according to claim 1 is characterized in that: The parking location recording module uses optical character recognition (OCR) technology to recognize the parking space number image taken by the car owner on the smartphone to obtain the digital text of the parking space number, calls the preset plane map module to match the parking space number in the plane map, and finally stores the parking point location information.

4. The underground garage car search system based on optical symbol recognition technology matching engineering drawings according to claim 1 is characterized in that: After receiving the parking space number picture taken by the owner's smartphone, the reverse car search module uses optical character recognition (OCR) technology to recognize the picture to obtain the parking space number and match it with the plane map to obtain the starting point location information. According to different judgment conditions, it reminds the owner that he is not in the garage, generates a floor crossing guidance route, and generates a plane car search guidance route.

5. The underground garage car search system based on optical symbol recognition technology matching engineering drawings according to claim 4 is characterized in that: If the car owner loses his or her position while moving around, he or she can take a photo with the smartphone to obtain the starting point location information, quickly regenerate a new route for finding the car, look up the parking space numbers along the way and reposition until the car is found successfully.

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