Traffic facility management system based on modeling identification technology

Abstract

The invention belongs to the technical field of traffic facility management, and discloses a traffic facility management system based on a modeling identification technology, which comprises a digital modeling identification module, a back-end map model management module, a rationalization evaluation module, an intelligent analysis module and a warehouse management module, in order to solve the problem that a user cannot see the content of various traffic facilities in the whole area at a seeing view angle, that is, the user can only obtain information in a one-sided mode and cannot obtain a structure in a simulation mode, the method is matched with a map to achieve the purpose of displaying the identification on the map in a simulation mode; according to the technical scheme, related managers can visually judge the rationality of current traffic management measures without going to the field for investigation, the working efficiency is improved, meanwhile, the labor intensity is reduced, replacement and maintenance work arrangement can be conducted through display data, and the background command effect is achieved.

Description

Technical Field

[0001] This invention belongs to the field of traffic facility management technology, specifically relating to a traffic facility management system based on model-based identification technology. Background Technology

[0002] Currently, the management of road traffic facilities in China mainly relies on manual inspections and maintenance. Even when information technology is used, road facilities are primarily recorded in text form, lacking a direct visual representation. It's impossible to see the types and distribution of various traffic facilities on a single map. Users cannot have a comprehensive view of the entire area's traffic facilities; they can only obtain partial information and cannot realistically understand the structure. This is especially true for signs, where the rationality and standardization of sign placement on a particular road segment cannot be effectively assessed. This leads to problems such as duplicate placement of the same traffic sign, contradictory signs being placed together, and signs that could be placed on the same pole using different poles. Furthermore, the management of existing traffic facilities in various regions is not precise enough. After facilities are handed over to traffic police, it's unclear whether they are still under warranty when malfunctions occur, and the traffic police are responsible for maintenance, consuming significant manpower and resources. Summary of the Invention

[0003] In view of the problems raised in the background art above, the purpose of this invention is to provide a traffic facility management system based on model-based identification technology.

[0004] To achieve the above-mentioned technical objectives, the technical solution adopted by the present invention is as follows:

[0005] Traffic facility management systems based on model-based labeling technology include:

[0006] Digital Modeling and Signage Module: Used to model commonly used traffic facility signs and generate various built-in facility models;

[0007] Backend map model management module: used to process and adjust the acquired traffic facility signs on the map by combining them with spatial information;

[0008] Rationalization assessment module: Used to evaluate whether the current traffic facility signs are reasonable for the current road conditions;

[0009] Intelligent analysis module: used by the backend map management module to predict the status of traffic facility signs based on learning algorithms;

[0010] Warehouse management module: used to obtain the inventory of corresponding traffic facility signs to ensure real-time supply for on-site replacement;

[0011] The traffic facility management method based on model-based labeling technology includes the following steps:

[0012] S1. Establish a 3D model database of transportation facilities, including graphics of all relevant specifications and dimensions;

[0013] S2. Relevant personnel obtain and photograph the facility signs of the current traffic roads on site, and feed back the photographed data and the latitude and longitude data of the photographed facilities to the back-end terminal for processing.

[0014] S3. The backend system uses the photographed data to drag out a model that is exactly the same as the photographed data from the 3D model database, performs simulation and combination matching, and then places the 3D model on the latitude and longitude data points on the map.

[0015] S4. Connect the front-end system with the back-end system. The front-end system has no right to modify the data. Users need to obtain traffic facility data from the front-end system.

[0016] Furthermore, the traffic facility signage includes poles, signs, traffic lights, checkpoints, electronic police systems, and LED displays.

[0017] Furthermore, the traffic facility signage is obtained through on-site photography by personnel, and the feedback information includes latitude and longitude data.

[0018] Furthermore, the traffic facility signs are acquired using AI video automatic recognition technology, and the acquired data includes latitude and longitude data.

[0019] Further, the process of modeling traffic facility signs includes using 3D modeling technology to create 3D models.

[0020] The beneficial effects of using the present invention are as follows:

[0021] This invention, in conjunction with a map, enables the simulated display of markers on the map. The simulated placement on the map allows relevant management personnel to intuitively judge the rationality of current traffic management measures without having to conduct on-site inspections. This improves work efficiency, reduces labor intensity, and allows for the arrangement of replacement and maintenance work through data display, achieving the effect of back-end command.

[0022] The present invention enables better determination of transport routes during large-scale transportation operations, or allows for the removal and repair of interfering road signs along the transport routes in advance. Attached Figure Description

[0023] The present invention can be further illustrated by the non-limiting embodiments given in the accompanying drawings;

[0024] Figure 1 This is a schematic diagram of a module in an embodiment of the traffic facility management system based on model-based identification technology of the present invention;

[0025] Figure 2This is a schematic diagram illustrating the steps of an embodiment of the traffic facility management system based on model-based identification technology of the present invention;

[0026] Figure 3 This is the signboard library interface of an embodiment of the traffic facility management system based on model-based signage technology of the present invention;

[0027] Figure 4 This is a simulation editing interface for an embodiment of the traffic facility management system based on model-based identification technology of the present invention;

[0028] Figure 5 This is a simulated sign placement viewing interface in an embodiment of the traffic facility management system based on model-based signage technology of the present invention;

[0029] The symbols for the main components are explained below:

[0030] Digital modeling and identification module 100; backend map model management module 200; rationalization evaluation module 300; intelligent analysis module 400; warehouse management module 500. Detailed Implementation

[0031] To enable those skilled in the art to better understand the present invention, the technical solution of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0032] like Figures 1-5 As shown, the traffic facility management system based on model-based identification technology of the present invention includes:

[0033] Digital Modeling and Signage Module 100: Used to model commonly used traffic facility signs and generate various built-in facility models;

[0034] Backend map model management module 200: Used to process and adjust the acquired traffic facility signs on the map by combining them with spatial information;

[0035] Rationalization assessment module 300: Used to evaluate whether the current traffic facility signs are reasonable for the current road conditions;

[0036] Intelligent analysis module 400: Used by the backend map management module 200 to predict the status of traffic facility signs based on learning algorithms;

[0037] Warehouse Management Module 500: Used to obtain the inventory of corresponding traffic facility signs and supply them to the site for replacement in real time;

[0038] The traffic facility management method based on model-based labeling technology includes the following steps:

[0039] S1. Establish a 3D model database of transportation facilities, including graphics of all relevant specifications and dimensions;

[0040] S2. Relevant personnel obtain and photograph the facility signs of the current traffic roads on site, and feed back the photographed data and the latitude and longitude data of the photographed facilities to the back-end terminal for processing.

[0041] S3. The backend system uses the photographed data to drag out a model that is exactly the same as the photographed data from the 3D model database, performs simulation and combination matching, and then places the 3D model on the latitude and longitude data points on the map.

[0042] S4. Connect the front-end system with the back-end system. The front-end system has no right to modify the data. Users need to obtain traffic facility data from the front-end system.

[0043] Preferred traffic facility signs include poles, signs, traffic lights, checkpoints, electronic police systems, and LED displays. In practice, the addition, replacement, and modification of traffic facility signs can also be considered depending on the specific circumstances.

[0044] The preferred method for obtaining traffic facility signs is through on-site photography by personnel, with feedback including latitude and longitude data. In practice, the data acquisition method for traffic facility signs can also be considered depending on the specific circumstances.

[0045] The preferred approach is to use AI video automatic recognition technology to acquire data for traffic facility signs. The data acquisition includes latitude and longitude data. In fact, the data acquisition method for traffic facility signs can also be considered depending on the specific circumstances.

[0046] It is preferable to model traffic facility signs, including using 3D modeling technology to create 3D models. In practice, the choice of modeling software can also be considered depending on the specific circumstances.

[0047] In this implementation case, when using a traffic facility management system based on model-based signage technology, relevant technical personnel establish a backend management system. This backend management system needs to match map data, including but not limited to using GIS maps, and then simulate and create traffic signs of various sizes and specifications within the system, such as the attached... Figure 4 The path guidance sign is composed of poles and signs. Therefore, it is necessary to create the corresponding single cantilever F pole (right) and path guidance sign 1 (1 is a distinguishing number because there are many different types of path guidance signs). Then, the two are combined in the simulation editing interface to realize the simulation creation of the entire path guidance sign. The path guidance sign model after creation is proportional to the actual path guidance sign entity. After the model library is created, it can wait for the front end to obtain data.

[0048] The front end acquires data by taking photos on-site or using dedicated cameras mounted on a data collection vehicle to capture video of traffic facilities on both sides of the road and automatically identify them. Data acquisition by taking photos on-site is more accurate, but the manual collection workload is huge, requiring people to get out of the vehicle at each traffic facility point to take photos. It would take 8-9 people a day to complete 10 kilometers of road. Moreover, traffic volume is high on urban expressways and vehicles travel at high speeds, which can easily lead to traffic accidents when data collection personnel get out of the vehicle. Data acquisition by installing dedicated cameras on the data collection vehicle is safer, and multiple data acquisitions can be used to ensure data accuracy. The specific situation should be considered on a case-by-case basis. After the data is acquired, the physical data and the current latitude and longitude data of the physical objects are transmitted to the back-end management system.

[0049] The back-end management system uses data obtained from the front end to pinpoint the installation location of the sign on the map. Then, it uses the image content to place the simulated sign at the pinpoint, thus completing the operation. It should be noted that the specifications of each sign are regulated, so the location data of the simulated sign is more authoritative than that of the actual sign. Of course, the allowable difference can be determined for the error that may exist in the actual installation.

[0050] By continuously refining the simulated signs on the map, the entire traffic facility management system based on model-based signage technology is established. At this point, the actual situation of signs on designated roads can be obtained directly from the system, including data on color, height, direction, and area occupied. This is significantly more beneficial for planning the transportation routes of large objects compared to existing technologies that only provide basic information on the map. The rationalization evaluation module 300 can assess whether the current traffic facility signs are appropriate for the current road conditions, thereby preventing overuse and misuse, saving energy, and placing them in key locations. Adding signs can reduce the probability of traffic accidents. Since traffic signs have installation records, once the installation data is entered into the backend map model management module 200, the intelligent analysis module 400 can assess whether the current service life of the sign needs to be replaced to ensure its effectiveness. At the same time, with the help of the warehouse management module 500, the current inventory of each part can be obtained, so as to ensure that the original parts can be obtained as soon as possible when replacement is needed and supplied to the site in real time. To further explain, each addition or replacement of a sign requires real-time updates to the backend map model management module 200.

[0051] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A traffic facility management system based on model-based identification technology, characterized in that, include: Digital Modeling and Signage Module (100): Used to model commonly used traffic facility signs and generate built-in facility models; Backend map model management module (200): used to process and adjust the acquired traffic facility signs on the map by combining them with spatial information; Rationalization assessment module (300): Used to evaluate whether the current traffic facility signs are reasonable for the current road conditions; Intelligent analysis module (400): used by the backend map management module (200) to predict the status of traffic facility signs based on a learning algorithm; Warehouse Management Module (500): Used to obtain the inventory of the corresponding traffic facility signs and supply them to the site for replacement in real time.

2. The traffic facility management system based on model-based identification technology according to claim 1, characterized in that: The traffic facility signage includes poles, signs, traffic lights, checkpoints, electronic police systems, and LED displays.

3. The traffic facility management system based on model-based identification technology according to claim 1, characterized in that: The traffic facility signs are obtained through on-site photography by personnel, and the feedback information includes latitude and longitude data.

4. The traffic facility management system based on model-based identification technology according to claim 1, characterized in that: The traffic facility signs are acquired using AI video automatic recognition technology, and the acquired data includes latitude and longitude data.

5. The traffic facility management system based on model-based identification technology according to claim 1, characterized in that: Modeling traffic facility signs involves using 3D modeling techniques to create 3D models.

6. A traffic facility management method based on model-based identification technology, including the traffic facility management system based on model-based identification technology as described in claims 1 to 5, characterized in that, Includes the following steps: S1. Establish a 3D model database of transportation facilities, including graphics of all relevant specifications and dimensions; S2. Relevant personnel obtain and photograph the facility signs of the current traffic roads on site, and feed back the photographed data and the latitude and longitude data of the photographed facilities to the back-end terminal for processing. S3. The backend system uses the photographed data to drag out a model that is exactly the same as the photographed data from the 3D model database, performs simulation and combination matching, and then places the 3D model on the latitude and longitude data points on the map. S4. Connect the front-end system with the back-end system. The front-end system has no right to modify the data. Users need to obtain traffic facility data from the front-end system.

Images