Urban mountain tunnel engineering full life cycle monitoring method and system

Abstract

The invention relates to an urban mountain tunnel engineering full life cycle monitoring method and system, and belongs to the technical field of tunnel engineering, and the monitoring method comprises the steps: obtaining the image information of a tunnel entrance; based on the image information, determining whether the vehicle is driven into a preset weight measuring area or not; if yes, a weight measuring signal is sent; obtaining weight information of the vehicle based on the weight measuring signal; according to the weight information and pre-acquired monitoring data information in the tunnel, generating a predicted moving track of the vehicle running in the tunnel; based on the image information, determining whether the vehicle is driven into a preset communication connection area; if yes, establishing communication with the vehicle machine; and distributing the predicted moving track to a vehicle machine. The method has the beneficial effects that potential safety hazards in the tunnel are reduced, and the safety of a driver is improved.

Description

Technical Field

[0001] The present application relates to the technical field of tunnel engineering, and in particular to a full life cycle monitoring method and system for urban mountain tunnel engineering. Background Art

[0002] Urban mountain tunnel refers to a tunnel project built in urban mountainous areas or mountains; the full life cycle monitoring of urban mountain tunnel projects refers to the process of comprehensive monitoring and management of tunnel structure, geological environment and traffic operation through various monitoring means and technologies during the construction, operation and maintenance stages of the tunnel project.

[0003] In the related art, a patent with publication number CN115660652A and publication date 2023-01-31 discloses a tunnel full life cycle system, which includes: Planning system, used to plan the proposed railway tunnel project; A design system for converting the planning scheme in the planning system into an achievable blueprint; Construction system, used for program management from the construction stage to the completion acceptance stage; Operation system, used to formulate reasonable maintenance and operation plans; Maintenance systems to monitor tunnel safety during later stages of operation or to ensure safety during demolition, recycling and complete abandonment.

[0004] Through systematic management of the entire life cycle of the tunnel, the efficiency of various design, construction, operation and management measures of the engineering structure can be effectively improved, the safety and rationality of various decisions can be improved, and the planning, decision-making, design, construction and operation plans of the tunnel project can be made safer, thus achieving the unity of good social benefits and economic benefits of the tunnel project.

[0005] When problems are found in the tunnel but do not affect normal traffic, vehicles can still drive in the tunnel. However, long-term driving of vehicles will affect the tunnel and increase safety hazards in the tunnel. Summary of the invention

[0006] In order to reduce potential safety hazards in tunnels, the present application provides a full life cycle monitoring method and system for urban mountain tunnel projects.

[0007] In the first aspect, the present application provides a method for monitoring the entire life cycle of an urban mountain tunnel project, which adopts the following technical solutions: A full life cycle monitoring method for urban mountain tunnel engineering, comprising: Obtain image information at the tunnel entrance; Based on the image information, determining whether the vehicle enters a preset weight measurement area; If yes, a weight measurement signal is sent; Based on the weight measurement signal, obtaining weight information of the vehicle; Generate a predicted moving trajectory of the vehicle in the tunnel based on the weight information and pre-acquired tunnel monitoring data information; Based on the image information, determining whether the vehicle enters a preset communication connection area; If yes, then establish communication with the vehicle computer; The predicted movement trajectory is sent to the vehicle computer.

[0008] By adopting the above technical solution, by acquiring image information at the entrance of the tunnel, it is possible to determine whether the vehicle has entered the weight measurement area based on the image information. If it has entered, the vehicle is weighed to obtain the vehicle's weight information, and then combined with the monitoring data information in the tunnel, the corresponding predicted movement trajectory of the vehicle in the tunnel is generated; when it is determined that the vehicle has entered the communication connection area, communication is established with the vehicle's computer, so that the predicted movement trajectory is dispatched to the computer, so that the vehicle can travel according to the predicted movement trajectory; because the predicted movement trajectory is generated in combination with the vehicle weight information and the monitoring data information in the tunnel, it can avoid poor monitoring data and accident-prone areas in the tunnel, thereby reducing safety hazards in the tunnel and improving the safety of the driver.

[0009] Optionally, before sending the predicted moving trajectory to the vehicle computer, the method includes: Get lane information in the tunnel; Determining whether the lane is a single lane according to the lane information; If yes, the predicted moving trajectory is sent to the vehicle computer; If the lane is more than two lanes, it is determined whether the predicted moving trajectories of adjacent vehicles obstruct each other; the adjacent vehicles include vehicles in adjacent lanes; If the predicted moving trajectory of the adjacent vehicle does not obstruct, the predicted moving trajectory is distributed to the corresponding vehicle computer.

[0010] By adopting the above technical solution, if the lane in the tunnel is a single lane, adjacent vehicles can pass in turn; if the lane in the tunnel is more than two lanes, since vehicles in adjacent lanes can run in parallel, it is necessary to determine whether the predicted moving trajectories of adjacent vehicles hinder each other. If not, the predicted moving trajectories can be sent to the corresponding vehicle computer, thereby further improving the safety of the driver.

[0011] Optionally, the monitoring method further includes: If the predicted moving trajectories of adjacent vehicles obstruct each other, obtaining vehicle position information of the adjacent vehicles; Acquiring a first vehicle distance between adjacent vehicles according to the vehicle position information; Determining whether the first vehicle distance is within a preset first distance threshold range; If yes, the predicted moving trajectory is sent to the corresponding vehicle computer; If not, a first spacing adjustment instruction is sent.

[0012] By adopting the above technical solution, the predicted moving trajectories of adjacent vehicles hinder each other, which means that if the distance between adjacent vehicles is too close, a collision may occur when driving according to the predicted moving trajectory. Therefore, when the predicted moving trajectories of adjacent vehicles hinder each other, it is necessary to send a first distance adjustment instruction to the vehicle computer of the adjacent vehicle to adjust the distance between the adjacent vehicles; thereby further improving the safety of the driver.

[0013] Optionally, the specific steps of sending the first distance adjustment instruction include: Determining a leading vehicle and a trailing vehicle according to the vehicle position information when an adjacent vehicle enters the weight measurement area; The first distance adjustment instruction is sent to the vehicle computer of the following vehicle; the predicted movement trajectory corresponding to the leading vehicle is distributed to the corresponding vehicle computer; the predicted movement trajectory corresponding to the following vehicle is distributed to the corresponding vehicle computer after the distance adjustment of the following vehicle is completed.

[0014] Optionally, the monitoring method further includes: If there are more than three lanes in the tunnel and the leading vehicle is not in the edge lane, after the following vehicle completes the spacing adjustment, the second vehicle spacing of the following vehicle in the adjacent lane of the leading vehicle is obtained; determining whether the second vehicle distance is within the first distance threshold range; If not, a secondary distance adjustment instruction is sent to the vehicle computers of the remaining rear vehicles except the rear vehicle in one of the adjacent lanes.

[0015] By adopting the above technical solution, if there are more than three lanes in the tunnel, taking three lanes as an example, if the vehicle traveling in the middle lane is the front vehicle, then the vehicles traveling in the left and right adjacent lanes of the middle lane are all rear vehicles, and the distance between the two rear vehicles is adjusted relative to the front vehicle. After the distance adjustment, the two rear vehicles may be parallel or the distance between them may not be within the first distance threshold range. Therefore, when the two rear vehicles are traveling according to the predicted driving trajectory, there may be a collision, so it is necessary to adjust the distance between the rear vehicles again, thereby further improving the safety of vehicle driving.

[0016] Optionally, the monitoring method further includes: When the vehicle distance is less than the minimum value of the first distance threshold range, the distance adjustment instruction is to reduce the vehicle speed; When the vehicle distance is greater than the maximum value of the first distance threshold range, the distance adjustment instruction is to increase the vehicle speed, and the maximum vehicle speed when increasing the vehicle speed is not greater than the tunnel speed limit; The vehicle distance includes the first vehicle distance and the second vehicle distance; and the distance adjustment instruction includes the first distance adjustment instruction and the second distance adjustment instruction.

[0017] Optionally, the monitoring method further includes: When the lane in the tunnel is a single lane and there are two or more vehicles in the lane, the first position of the preceding vehicle is obtained; Obtaining a second position of the rear vehicle; obtaining a third vehicle distance based on the first position and the second position; Determining whether the third vehicle distance is within a preset second distance threshold range; the second distance threshold range is smaller than the first distance threshold range; If not, a third distance adjustment instruction is sent to the vehicle computer of the following vehicle.

[0018] By adopting the above technical solution, the front vehicle and the rear vehicle can always maintain an appropriate distance, thereby improving the traffic efficiency of vehicles in the tunnel while ensuring that the front and rear vehicles have a sufficient safety distance.

[0019] In the second aspect, the present application provides a full life cycle monitoring system for urban mountain tunnel projects, which adopts the following technical solutions: A full life cycle monitoring system for urban mountain tunnel projects, comprising: An image acquisition module, used to acquire image information at the tunnel entrance; A judgment module, based on the image information, determines whether the vehicle enters a preset weight measurement area; A signal sending module, used for sending a weight measurement signal after the judgment module determines that the vehicle enters the weight measurement area; A weight information acquisition module, which acquires the weight information of the vehicle based on the weight measurement signal; A trajectory generation module, used to generate a predicted moving trajectory of the vehicle in the tunnel according to the weight information and pre-acquired tunnel monitoring data information; The judgment module determines whether the vehicle enters a preset communication connection area based on the image information; A communication connection establishment module, used to establish communication with the vehicle computer; The trajectory distribution module is used to distribute the predicted movement trajectory to the vehicle computer.

[0020] By adopting the above technical solution, by acquiring image information at the entrance of the tunnel, it is possible to determine whether the vehicle has entered the weight measurement area based on the image information. If it has entered, the vehicle is weighed to obtain the vehicle's weight information, and then combined with the monitoring data information in the tunnel, the corresponding predicted movement trajectory of the vehicle in the tunnel is generated; when it is determined that the vehicle has entered the communication connection area, communication is established with the vehicle's computer, so that the predicted movement trajectory is dispatched to the computer, so that the vehicle can travel according to the predicted movement trajectory; because the predicted movement trajectory is generated in combination with the vehicle weight information and the monitoring data information in the tunnel, it can avoid poor monitoring data and accident-prone areas in the tunnel, thereby reducing safety hazards in the tunnel and improving the safety of the driver.

[0021] Optionally, the monitoring system further includes: A lane information acquisition module is used to acquire lane information in the tunnel; The judgment module determines whether the lane is a single lane according to the lane information; If the lane is a single lane, the trajectory distribution module distributes the predicted moving trajectory to the vehicle computer; If there are more than two lanes, the judgment module judges whether the predicted moving trajectories of adjacent vehicles obstruct each other; if the predicted moving trajectories of adjacent vehicles do not obstruct each other, the trajectory distribution module distributes the predicted moving trajectory to the corresponding vehicle computer.

[0022] By adopting the above technical solution, if the lane in the tunnel is a single lane, adjacent vehicles can pass in turn; if the lane in the tunnel is more than two lanes, since vehicles in adjacent lanes can run in parallel, it is necessary to determine whether the predicted moving trajectories of adjacent vehicles hinder each other. If not, the predicted moving trajectories can be sent to the corresponding vehicle computer, thereby further improving the safety of the driver.

[0023] Optionally, the monitoring system further includes: A vehicle position acquisition module, used to acquire vehicle position information of adjacent vehicles when the predicted moving trajectories of adjacent vehicles obstruct each other; A spacing acquisition module, used for acquiring a first spacing between adjacent vehicles according to the vehicle position information; The judging module judges whether the first vehicle distance is within a preset first distance threshold range; If yes, the trajectory distribution module distributes the predicted moving trajectory to the corresponding vehicle computer; The instruction sending module is used to send a first distance adjustment instruction when the first vehicle distance is not within a preset first distance threshold range.

[0024] By adopting the above technical solution, if the lane in the tunnel is a single lane, adjacent vehicles can pass in turn; if the lane in the tunnel is more than two lanes, since vehicles in adjacent lanes can run in parallel, it is necessary to determine whether the predicted moving trajectories of adjacent vehicles hinder each other. If not, the predicted moving trajectories can be sent to the corresponding vehicle computer, thereby further improving the safety of the driver.

[0025] In summary, the present application has at least the following beneficial effects: 1. By measuring the weight of vehicles entering the tunnel, a predicted moving trajectory of the vehicle in the tunnel is generated based on the weight information and the monitoring data information in the tunnel. The purpose of the vehicle driving in the tunnel according to the predicted moving trajectory is to enable the vehicle to avoid places with poor monitoring data and accident-prone areas in the tunnel as much as possible, thereby reducing safety hazards in the tunnel and improving the safety of the driver.

[0026] 2. By judging the lane information in the tunnel, when the lane in the tunnel is a single lane, the vehicle can drive according to the predicted moving trajectory; if the lane in the tunnel is more than two lanes, it is necessary to judge whether the predicted moving trajectories of adjacent vehicles hinder each other. If not, the vehicle can drive according to the predicted moving trajectory. If so, the distance between adjacent vehicles needs to be adjusted to further improve the safety of the driver.

[0027] 3. When the lane in the tunnel is a single lane, the purpose of obtaining the distance between the front and rear vehicles is to ensure that the front vehicle and the rear vehicle always maintain an appropriate distance, thereby improving the traffic efficiency of vehicles in the tunnel while ensuring that the front and rear vehicles have a sufficient safety distance. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flowchart of an embodiment of the method of the present application; Figure 2 It is a flowchart of the steps that can be executed before S180; Figure 3 It is a flowchart of the steps that can be executed when there are more than two vehicles traveling in a single lane; Figure 4 It is a flowchart of the steps that can be executed after the following vehicle completes the spacing adjustment when the number of lanes in the tunnel is more than three and the preceding vehicle is not in the edge lane; Figure 5 It is a structural block diagram of an implementation method of the first embodiment of the system of the present application; Figure 6 It is a structural block diagram of another implementation method of the backend server.

[0029] Explanation of the accompanying drawings: 100, image collector; 200, backend server; 201, image acquisition module; 202, judgment module; 203, signal sending module; 204, weight information acquisition module; 205, trajectory generation module; 206, communication connection establishment module; 207, trajectory distribution module; 208, lane information acquisition module; 209, vehicle position acquisition module; 210, spacing acquisition module; 211, instruction sending module; 300, tunnel engineering full life cycle monitoring system; 400, vehicle computer. DETAILED DESCRIPTION

[0030] To make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the following will be combined with the appended drawings of the embodiments of the present invention. Figure 1 -Attached Figure 6 , the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. 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.

[0031] The first embodiment of the present application discloses a method for monitoring the entire life cycle of an urban mountain tunnel project. Figure 1 As an implementation of the monitoring method, the monitoring method may include S110-S170: S110, acquiring image information at the tunnel entrance; S120, determining whether the vehicle enters a preset weight measurement area based on the image information; S130, if yes, send a weight measurement signal; S140, obtaining weight information of the vehicle based on the weight measurement signal; S150, generating a predicted moving trajectory of the vehicle in the tunnel according to the weight information and the pre-acquired tunnel monitoring data information; S160, determining whether the vehicle enters a preset communication connection area based on the image information; S170, if yes, establish communication with the vehicle computer 400; S180, sending the predicted moving trajectory to the vehicle computer 400.

[0032] Specifically, a camera is installed at the entrance of the tunnel, and the camera collects image information at the entrance of the tunnel in real time, and uploads the image information to the background server 200. The background server 200 identifies whether the vehicle enters the weight measurement area through an image recognition algorithm. The weight measurement area and the communication connection area are preset at the entrance of the tunnel in the form of an electronic fence. A weight measurement device, such as a weighing scale, is arranged in the weight measurement area. The weight information measured by the weighing scale is uploaded to the background server 200. In addition, a tunnel engineering full life cycle monitoring system 300 is pre-arranged in the tunnel. The tunnel engineering full life cycle monitoring system 300 uploads monitoring data information to the background server 200 in real time. The monitoring data information includes cracks, deformations, stresses, rock formation displacements and other data. Based on these monitoring data, a weight distribution map that can bear weight in the tunnel is pre-generated. Points in the weight distribution map that are greater than the measured vehicle weight are used as trajectory points, and a predicted moving trajectory is generated based on the set of trajectory points.

[0033] When the vehicle enters the communication connection area, the background server 200 sends a connection request to the vehicle computer 400. When a connection consent signal is received or no connection consent signal is received within a preset time threshold, a connection is forcibly established with the vehicle computer 400. After the connection is established, the background server 200 sends a predicted moving trajectory to the vehicle computer 400, and the vehicle computer 400 navigates according to the predicted moving trajectory.

[0034] Reference Figure 2 , before S180, you can also execute S171-S175: S171, obtaining lane information in the tunnel; S172, determining whether the lane is a single lane according to the lane information; S173, if yes, send the predicted moving trajectory to the vehicle computer 400; S174, if there are more than two lanes, determining whether the predicted moving trajectories of adjacent vehicles obstruct each other; S175 , if the predicted moving trajectory of the adjacent vehicle does not obstruct, the predicted moving trajectory is sent to the corresponding vehicle computer 400 .

[0035] Specifically, the lane information in the tunnel may be input into the backend server 200 in advance, or the number of lanes in the tunnel may be determined by image information collected by a camera arranged in the tunnel monitoring system in the tunnel.

[0036] If it is a single lane, the predicted moving trajectory is sent to the vehicle computer 400. Figure 3 When there are more than two vehicles in a single lane, S210-S250 can be executed: S210, obtaining a first position of a preceding vehicle; S220, obtaining a second position of the rear vehicle; S230, obtaining a third vehicle distance based on the first position and the second position; S240, determining whether the third vehicle distance is within a preset second distance threshold range; S250: If not, send a third distance adjustment instruction to the vehicle computer 400 of the following vehicle.

[0037] Specifically, the vehicle position can be obtained by vehicle-mounted GPS positioning, or by other methods, and the specific method is not limited. According to the first position of the front vehicle and the second position of the rear vehicle, the third vehicle distance between the two is obtained in real time. When the third vehicle distance is not within the second distance threshold range, a third distance adjustment instruction is sent to the vehicle computer 400 of the rear vehicle, thereby reminding the rear vehicle to slow down or speed up, so that the third vehicle distance is always kept within the second distance threshold range. It should be noted that when speeding up, the speed limit of the tunnel cannot be exceeded.

[0038] When there are more than two lanes in the tunnel, the adjacent vehicles include vehicles in adjacent lanes. It is necessary to determine whether the predicted moving trajectories of the adjacent vehicles obstruct each other. If not, the predicted moving trajectories are sent to the corresponding vehicle machine 400, and the vehicles travel normally.

[0039] Reference Figure 2 If it is blocked, S310-S350 can be executed: S310, obtaining vehicle position information of adjacent vehicles; S320, acquiring a first vehicle distance between adjacent vehicles according to the vehicle position information; S330, determining whether the first vehicle distance is within a preset first distance threshold range; S340, if yes, send the predicted moving trajectory to the corresponding vehicle computer 400; S350: If not, send a first spacing adjustment instruction.

[0040] Specifically, the second spacing threshold range is within the first spacing threshold range. Sending the first spacing adjustment instruction may specifically include: determining the front vehicle and the rear vehicle according to the position information of the adjacent vehicles entering the weighing area; sending the first spacing adjustment instruction to the vehicle computer 400 of the rear vehicle; the predicted moving trajectory corresponding to the front vehicle can be directly distributed to the vehicle computer 400 of the front vehicle; the predicted moving trajectory corresponding to the rear vehicle is distributed to the corresponding vehicle computer 400 after the rear vehicle spacing adjustment is completed.

[0041] When the vehicle distance is less than the minimum value of the first distance threshold range, the distance adjustment instruction is to reduce the vehicle speed; when the vehicle distance is greater than the maximum value of the first distance threshold range, the distance adjustment instruction is to increase the vehicle speed.

[0042] Reference Figure 4If the number of lanes in the tunnel is more than three and the leading vehicle is not in the edge lane, after the following vehicle completes the spacing adjustment, S410-S430 can be executed: S410, obtaining a second vehicle distance between the vehicles behind the vehicle in the adjacent lane of the leading vehicle; S420, determining whether the second vehicle distance is within a first distance threshold range; S430: If not, a secondary distance adjustment instruction is sent to the vehicle computers 400 of the remaining rear vehicles except the rear vehicle in one of the adjacent lanes, so that the rear vehicles perform secondary distance adjustment.

[0043] The implementation principle of this embodiment is: Obtain image information at the entrance of the tunnel, and then determine whether the vehicle enters the weighing area based on the image information, and if so, send a weighing signal; after obtaining the weight information of the vehicle, generate a predicted moving trajectory of the vehicle in the tunnel based on the weight information and the pre-acquired monitoring data information in the tunnel; then determine whether the vehicle enters the communication connection area, and if so, establish communication with the vehicle computer 400; then obtain lane information in the tunnel to determine whether the lane is a single lane, and if so, send the predicted moving trajectory to the vehicle computer 400; if there are more than two lanes, determine whether the predicted moving trajectories of adjacent vehicles hinder each other, and if not, send the predicted moving trajectory to the corresponding vehicle computer 400; if so, obtain the vehicle position information of the adjacent vehicle, and obtain the first vehicle distance between the adjacent vehicles based on the vehicle position information, so as to determine whether the first vehicle distance is within the first distance threshold range, and if so, send the predicted moving trajectory to the corresponding vehicle computer 400; if not, determine the front vehicle and the rear vehicle based on the position information of the adjacent vehicle entering the weighing area; send a first distance adjustment instruction to the vehicle computer 400 of the rear vehicle.

[0044] Based on the above method embodiment, the second embodiment of the present application discloses a full life cycle monitoring system for urban mountain tunnel engineering. Figure 5 As an implementation of the monitoring system, the monitoring system may include an image collector 100, a backend server 200, a tunnel engineering full life cycle monitoring system 300 and a vehicle computer 400; the image collector 100 may be an image acquisition device such as a camera. The image information collected by the image collector 100 is uploaded to the backend server 200, the tunnel monitoring system uploads the monitoring data information to the backend server 200, and the backend server 200 dispatches instructions, predicts movement trajectories, etc. to the vehicle computer 400. The vehicle computer 400 uploads the vehicle location information to the backend server 200. The backend server 200 may include: An image acquisition module 201 is used to acquire image information at the tunnel entrance; The judgment module 202 determines whether the vehicle enters a preset weight measurement area based on the image information; A signal sending module 203, configured to send a weight measurement signal after the judging module 202 determines that the vehicle enters the weight measurement area; A weight information acquisition module 204 acquires the weight information of the vehicle based on the weight measurement signal; The trajectory generation module 205 is used to generate a predicted moving trajectory of the vehicle in the tunnel according to the weight information and the pre-acquired tunnel monitoring data information; The judgment module 202 determines whether the vehicle enters a preset communication connection area based on the image information; The communication connection establishing module 206 is used to establish communication with the vehicle computer 400; The trajectory distribution module 207 is used to distribute the predicted movement trajectory.

[0045] In addition, refer to Figure 6 , the backend server 200 may further include: The lane information acquisition module 208 is used to acquire the lane information in the tunnel; The judgment module 202 determines whether the lane is a single lane according to the lane information; If the lane is a single lane, the trajectory distribution module 207 distributes the predicted moving trajectory to the vehicle computer 400; If there are more than two lanes, the determination module 202 determines whether the predicted moving trajectories of the adjacent vehicles obstruct each other; if the predicted moving trajectories of the adjacent vehicles do not obstruct each other, the trajectory distribution module 207 distributes the predicted moving trajectories to the corresponding vehicle computer 400; The vehicle position acquisition module 209 is used to acquire the vehicle position information of the adjacent vehicles when the predicted moving trajectories of the adjacent vehicles obstruct each other; The spacing acquisition module 210 is used to acquire a first spacing between adjacent vehicles according to the vehicle position information; The judging module 202 judges whether the first vehicle distance is within a preset first distance threshold range; If yes, the trajectory distribution module 207 distributes the predicted moving trajectory to the corresponding vehicle computer 400; The instruction sending module 211 is used to send a first distance adjustment instruction when the first vehicle distance is not within a preset first distance threshold range.

[0046] Sending the first distance adjustment instruction specifically includes: after the judgment module 202 determines the front vehicle and the rear vehicle according to the vehicle position information of the adjacent vehicle when entering the weight measurement area, the instruction sending module 211 sends the first distance adjustment instruction to the vehicle computer 400 of the rear vehicle.

[0047] In addition, if the judgment module 202 determines that there are more than three lanes in the tunnel, the front vehicle is not in the edge lane, and the rear vehicle has completed the spacing adjustment, the spacing acquisition module 210 obtains the second vehicle spacing between the rear vehicles in the adjacent lane of the front vehicle; the judgment module 202 then determines whether the second vehicle spacing is within the first spacing threshold range. If not, the instruction sending module 211 sends a secondary spacing adjustment instruction to the vehicle computer 400 of the remaining rear vehicles except the rear vehicle in one of the adjacent lanes.

[0048] In addition, when the lane in the tunnel is a single lane, the vehicle position acquisition module 209 acquires the first position of the front vehicle and the second position of the rear vehicle; the spacing acquisition module 210 obtains the third vehicle spacing based on the first position and the second position; the judgment module 202 determines whether the third vehicle spacing is within the preset second spacing threshold range, if not, the instruction sending module 211 sends the third spacing adjustment instruction to the vehicle computer 400 of the rear vehicle.

[0049] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application in sequence. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A method for monitoring the entire life cycle of an urban mountain tunnel project, characterized in that: include: Obtain image information at the tunnel entrance; Based on the image information, determining whether the vehicle enters a preset weight measurement area; If yes, a weight measurement signal is sent; Based on the weight measurement signal, obtaining weight information of the vehicle; Generate a predicted moving trajectory of the vehicle in the tunnel based on the weight information and pre-acquired tunnel monitoring data information; Based on the image information, determining whether the vehicle enters a preset communication connection area; If yes, then establish communication with the vehicle computer (400); The predicted movement trajectory is sent to the vehicle computer (400).

2. A method for monitoring the entire life cycle of an urban mountain tunnel project according to claim 1, characterized in that: Before the predicted moving trajectory is distributed to the vehicle computer (400), the method includes: Get lane information in the tunnel; Determining whether the lane is a single lane according to the lane information; If yes, the predicted moving trajectory is sent to the vehicle computer (400); If the lane is more than two lanes, it is determined whether the predicted moving trajectories of adjacent vehicles obstruct each other; the adjacent vehicles include vehicles in adjacent lanes; If the predicted moving trajectory of the adjacent vehicle does not obstruct, the predicted moving trajectory is distributed to the corresponding vehicle computer (400).

3. A method for monitoring the entire life cycle of an urban mountain tunnel project according to claim 2, characterized in that: The monitoring method further comprises: If the predicted moving trajectories of adjacent vehicles obstruct each other, obtaining vehicle position information of the adjacent vehicles; Acquiring a first vehicle distance between adjacent vehicles according to the vehicle position information; Determining whether the first vehicle distance is within a preset first distance threshold range; If yes, the predicted moving trajectory is sent to the corresponding vehicle computer (400); If not, a first spacing adjustment instruction is sent.

4. A method for monitoring the entire life cycle of an urban mountain tunnel project according to claim 3, characterized in that: The specific steps of sending the first spacing adjustment instruction include: Determining a leading vehicle and a trailing vehicle according to the vehicle position information when an adjacent vehicle enters the weight measurement area; The first distance adjustment instruction is sent to the vehicle computer (400) of the following vehicle; the predicted movement trajectory corresponding to the leading vehicle is dispatched to the corresponding vehicle computer (400); and the predicted movement trajectory corresponding to the following vehicle is dispatched to the corresponding vehicle computer (400) after the distance adjustment of the following vehicle is completed.

5. The method for monitoring the entire life cycle of an urban mountain tunnel project according to claim 3 is characterized in that: The monitoring method further comprises: If there are more than three lanes in the tunnel and the leading vehicle is not in the edge lane, then after the following vehicle completes the spacing adjustment, the second vehicle spacing between the following vehicle in the adjacent lane of the leading vehicle is obtained; determining whether the second vehicle distance is within the first distance threshold range; If not, a secondary distance adjustment instruction is sent to the vehicle computers of the remaining rear vehicles except the rear vehicle in one of the adjacent lanes (400).

6. A method for monitoring the entire life cycle of an urban mountain tunnel project according to claim 5, characterized in that: The monitoring method further comprises: When the vehicle distance is less than the minimum value of the first distance threshold range, the distance adjustment instruction is to reduce the vehicle speed; When the vehicle distance is greater than the maximum value of the first distance threshold range, the distance adjustment instruction is to increase the vehicle speed, and the maximum vehicle speed when increasing the vehicle speed is not greater than the tunnel speed limit; The vehicle distance includes the first vehicle distance and the second vehicle distance; and the distance adjustment instruction includes the first distance adjustment instruction and the second distance adjustment instruction.

7. The method for monitoring the entire life cycle of an urban mountain tunnel project according to claim 2, characterized in that: The monitoring method further comprises: When the lane in the tunnel is a single lane and there are two or more vehicles in the lane, the first position of the preceding vehicle is obtained; Obtaining a second position of the rear vehicle; obtaining a third vehicle distance based on the first position and the second position; Determining whether the third vehicle distance is within a preset second distance threshold range; If not, a third distance adjustment instruction is sent to the vehicle computer (400) of the following vehicle.

8. A full life cycle monitoring system for urban mountain tunnel projects, characterized in that: include: An image acquisition module (201) is used to acquire image information at the tunnel entrance; A judgment module (202) determines whether the vehicle enters a preset weight measurement area based on the image information; A signal sending module (203) is used to send a weight measurement signal after the judgment module (202) determines that the vehicle has entered the weight measurement area; A weight information acquisition module (204) acquires the weight information of the vehicle based on the weight measurement signal; A trajectory generation module (205) is used to generate a predicted movement trajectory of the vehicle traveling in the tunnel according to the weight information and pre-acquired tunnel monitoring data information; The judgment module (202) determines whether the vehicle has entered a preset communication connection area based on the image information; A communication connection establishing module (206), used for establishing communication with the vehicle computer (400); The trajectory distribution module (207) is used to distribute the predicted movement trajectory to the vehicle computer (400).

9. The full life cycle monitoring system for urban mountain tunnel engineering according to claim 8 is characterized in that: The monitoring system further comprises: A lane information acquisition module (208), used to acquire lane information in the tunnel; The judgment module (202) determines whether the lane is a single lane according to the lane information; If the lane is a single lane, the trajectory distribution module (207) distributes the predicted moving trajectory to the vehicle computer (400); If there are more than two lanes, the judgment module (202) judges whether the predicted moving trajectories of adjacent vehicles obstruct each other; if the predicted moving trajectories of adjacent vehicles do not obstruct each other, the trajectory distribution module (207) distributes the predicted moving trajectory to the corresponding vehicle computer (400).

10. The full life cycle monitoring system for urban mountain tunnel engineering according to claim 9 is characterized in that: The monitoring system further comprises: A vehicle position acquisition module (209), used to acquire vehicle position information of adjacent vehicles when the predicted moving trajectories of adjacent vehicles obstruct each other; A distance acquisition module (210), used for acquiring a first vehicle distance between adjacent vehicles according to the vehicle position information; The judging module (202) judges whether the first vehicle distance is within a preset first distance threshold range; If yes, the trajectory distribution module (207) distributes the predicted moving trajectory to the corresponding vehicle computer (400); The instruction sending module (211) is used to send a first distance adjustment instruction when the first vehicle distance is not within a preset first distance threshold range.

Images