In-plant transport vehicle unloading real-time monitoring method and system

By setting up a checkpoint camera and panoramic balloon in the steel plant area, real-time monitoring of transport vehicles and cargo information, the problems of low transportation efficiency and poor information reliability in the steel plant area are solved, and efficient transportation management and data reliability are achieved.

CN119648101APending Publication Date: 2025-03-18JIANGSU SHAGANG GROUP HUAIGANG SPECIAL STEEL CO LTD

Patent Information

Application Number
CN202411806660.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The steel transportation efficiency in the steel plant area is low, and the existing technology relies on manual review of paper documents, resulting in waste of human resources and poor information reliability, and the inability to effectively track down problems.

Method used

The real-time monitoring system is adopted to capture vehicle and cargo information through the checkpoint camera and panoramic balloon, identify license plates and driver information, and compare them with the scheduling information in the system to realize real-time monitoring of transportation vehicles and information push.

Benefits of technology

It improves the management efficiency of transportation vehicles, saves human resources, reduces the use of paper documents, improves data reliability, and prevents accidents such as car theft and sports cars.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to an in-plant transport vehicle unloading real-time monitoring system and method, and belongs to the technical field of production management. A plurality of cameras are installed at a loading area exit, an unloading area exit and a route of vehicle transportation, whole-process monitoring of vehicle transportation is carried out, a wagon balance system is connected with the system, remote management of vehicle weight is achieved, monitoring of vehicles in a monitoring room is achieved, manpower is saved, the error rate is reduced, working efficiency is improved, and data recording and filing are facilitated.
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Description

Technical Field

[0001] The invention relates to a real-time monitoring method and system for unloading of transport vehicles within a factory, belonging to the technical field of production management. Background Art

[0002] The steel plant is large, and it is a huge project to transport steel within the plant or out of the factory to the designated transfer point. After the steel materials are loaded from the workshop, they are transported to the unloading area, usually by heavy vehicles. Transporting steel is expensive, and to ensure the safety of shipment, multiple rounds of information verification are usually required, resulting in low transfer efficiency. In the current production operation, the method of on-site manual review of paper documents is adopted for transportation within the plant, and personnel rotation review is implemented in the unloading area. The disadvantage is that there are not many on-site transportation shifts, but 24-hour rotation inspections are required, resulting in a waste of human resources. In addition, compared with electronic images, paper documents are complex to store and have poor reliability, and cannot effectively track problems. Summary of the invention

[0003] In order to solve the above problems, the present invention discloses a real-time monitoring method and system for unloading of transport vehicles within a factory, and its specific technical solution is as follows: A method for real-time monitoring of unloading of transport vehicles within a factory, comprising the following steps: Step 1: Vehicle Scheduling: Schedule vehicles within the factory according to orders and determine the transportation plan. Scheduling information includes license plate number, driver information, transportation time, and cargo specifications, types, and weight; Step 2: Vehicle loading: Vehicles in the factory enter the loading area for loading according to the schedule in step 1; Step 3: After loading is completed, the vehicle enters the exit of the loading area. At this time, the vehicle in the factory area after loading is captured, the shift information is identified, and compared with the shift information in the system. If the comparison passes, go to step 6, otherwise go to step 4; Step 4: When it is determined that the shift information is not recognized or the recognized shift information is incomplete, the vehicle exits the loading area exit and re-enters the loading area exit for a second capture and recognition. If the shift information matches, it proceeds to step 6. Otherwise, the vehicle exits and proceeds to step 5. When it is determined that the scheduling information is incorrectly matched, go to step 5; Step 5: Manually check for errors, reload the goods according to the errors, eliminate the errors, and re-enter step 3; Step 6: The vehicle drives out of the loading area exit and drives to the unloading area according to the prescribed route; Step 7: Take a photo of the vehicle in the unloading area, identify the vehicle's shift information, and match it with the information in the system. After a successful match, unload the goods. Click on this vehicle in the system to complete the delivery. If no information is captured or the captured information is incomplete, exit the capture area and capture it again. If the information match is incorrect or the second capture information is still incomplete, go to step 5.

[0004] Furthermore, the specific process of capturing the vehicle in the factory in step 3 is as follows: Step 3.1: Snap a picture of the front of the vehicle and the carriage, identify the license plate information, and transmit the pictures of the front of the vehicle and the carriage to the monitoring screen. Compare the license plate information with the scheduled vehicle information in the system. If the license plate information is correct, the carriage is a scheduled vehicle, and proceed to step 3.2. Otherwise, an error is reported and proceed to step 5. Step 3.2: Capture the driver's face, identify the driver's information, and transmit the driver's photo to the monitoring screen. If the driver's information is correct and the driver is scheduled, proceed to step 3.3. Otherwise, an error message will be displayed and proceed to step 5. Step 3.3: The vehicle enters the weighing area for weighing, a picture of the vehicle is captured, and the picture and weighing information are sent back to the system. The system compares the weighing information to see if it is correct. If it is correct, it proceeds to step 6. Otherwise, it reports an error and proceeds to step 5.

[0005] Furthermore, in step 6, several checkpoints are set up on the route from the loading area to the unloading area, each checkpoint is provided with a snapshot camera, each camera is numbered, and each numbered camera is provided with a corresponding error threshold range, and the error threshold includes license plate number, driver information, transportation time, and cargo type and weight.

[0006] Furthermore, according to the scheduling information, a time range is set for the time when the vehicle enters each capture area. The time range is the effective time from the time the vehicle loads and departs from the loading area to the time of each capture point. If the vehicle is not captured within the time range of the current capture point, it means that there is a problem with the vehicle's itinerary and it is not traveling at the prescribed speed. If the vehicle is not captured one by one at the corresponding capture points on the itinerary, it means that there is a problem with the vehicle's itinerary trajectory and it is not traveling according to the prescribed route.

[0007] Furthermore, there are marking lines drawn on the ground at each capture point. When the driver sees the ground marking lines while driving, he slows down and passes through. After the capture is successful, the passing vehicle information is pushed to the driver's WeChat mobile phone, and the driver continues to drive. If the driver has passed the ground marking lines and did not receive the WeChat push notification of successful capture, he needs to return and pass the capture point again.

[0008] The system for implementing the above-mentioned method for real-time monitoring of unloading of transport vehicles within the factory includes functional modules of employee management, vehicle management, vehicle passing management, log management, and information push; specifically: Employee management: Maintain system user information and divide user groups to facilitate permission management; user information includes user account, password, and contact information. User groups include administrators and ordinary salesmen. Ordinary salesmen have the authority to view vehicle records, driver information, and review vehicle records. Administrators have the authority to view salesmen's operation logs and maintain driver and vehicle information on the basis of ordinary salesmen; Vehicle management: Maintain the vehicle information that needs to be recorded. Not all vehicles traveling on the channel need to be monitored. Only the transport vehicles whose license plate information is read and maintained are monitored to control the vehicle record information. Vehicle passing management: By connecting to the camera message interface, the license plate, time, and photo information of the specified vehicle passing through each checkpoint are obtained, and the pictures are saved locally using IO technology. The message data is integrated according to the logic algorithm designed according to the business process, and connected to the scale system database to obtain the corresponding time of the weighing information, which is convenient for management personnel to confirm and review the vehicle information; Log management: record the login and approval behaviors of system users, cooperate with authority management, and form a rigorous closed-loop control process for vehicle transportation; Information push: Connect to the WeChat official account to push real-time information reminders when the vehicle passes the checkpoint, confirm that there are no problems with the normal capture process, and the driver can continue to work.

[0009] Furthermore, it also includes menu and button authorization management, data permission management and role management.

[0010] Furthermore, a bayonet camera is installed at the exit of the loading area to capture the front of the vehicle and identify the vehicle license plate and driver information. At the same time, a panoramic dome camera is installed at the exit to capture the cargo loaded in the carriage. The panoramic dome camera is linked to the bayonet camera.

[0011] Furthermore, a bayonet camera is installed in each weighing area to capture images of vehicles on the scale and identify license plate information.

[0012] Furthermore, a bayonet camera is installed in the unloading area to capture the front of the vehicle and identify the vehicle license plate and driver information; At the same time, a panoramic dome camera is installed opposite the bayonet camera in the unloading area to capture the cargo in the carriage.

[0013] The beneficial effects of the present invention are: The present invention is a software system and solution for real-time monitoring of vehicle transportation and unloading within a factory, which can save manpower and improve park management and work efficiency.

[0014] When a transport vehicle enters the transport route, it captures the front of the vehicle and the car body, identifies the license plate and matches the target vehicle information and shipping order information (category, weight); when entering the weighbridge area for weighing, it captures and identifies the vehicle, and obtains the corresponding weighing information (gross weight). When the vehicle arrives at the unloading area, the management personnel determines whether to release the vehicle based on the images captured at the monitoring points, thereby achieving full line monitoring and archiving to prevent accidents such as vehicle theft and runaway vehicles.

[0015] The system has realized the transition from on-site audit by personnel to remote audit by the monitoring room, which has improved work efficiency. After the system was launched, the vehicle audit post was removed and remote monitoring was carried out by the monitoring room, saving labor costs. In addition, the document audit no longer uses paper documents, but instead uses graphic documents for archiving, which improves data reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the process of the present invention.

[0017] Figure 2 It is a front face photo of a vehicle exiting a loading area according to an example of the present invention.

[0018] Figure 3 This is a photo of the exit carriage of the loading area according to an example of the present invention.

[0019] Figure 4 It is a vehicle weighing photo according to an example of the present invention.

[0020] Figure 5 It is a front face photo of a vehicle exiting a loading area according to an example of the present invention. DETAILED DESCRIPTION

[0021] The present invention is further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention.

[0022] Combined with Figure 1 It can be seen that the specific process of the present invention is: Step 1: The vehicles in the factory are scheduled for transportation according to the orders; Step 2: After the vehicle is loaded, it drives to the exit of the loading area; Step 3: The loading area is equipped with a bayonet camera and a panoramic dome camera. The bayonet camera faces the front of the vehicle and captures the front of the vehicle. The panoramic dome camera captures the image of the vehicle from the back of the vehicle. If the capture is abnormal or no image is captured, the vehicle exits the loading area exit and re-enters the loading area exit. If no image is captured after two passes, manual verification is performed. Step 4: Based on the front face picture of the vehicle captured in step 3, identify the vehicle license plate and driver information, and based on the car compartment picture, identify the type of cargo in the vehicle, and transmit the front face and car compartment pictures to the monitoring screen; Step 5: The monitoring room system queries the vehicle freight schedule information based on the license plate number. If the information is correct, proceed to step 6; Step 6: The vehicle enters the weighbridge area for weighing. A picture of the vehicle is captured and the picture and weighing information are sent back to the system. The system checks the vehicle weight and goes to step 7 if it is qualified. Otherwise, it returns to step 2 or intervenes in manual verification. Step 7: The vehicle drives into the unloading area. A bayonet camera and a panoramic dome camera are installed in the unloading area. The bayonet camera captures the front face of the vehicle, and the panoramic dome camera captures the compartment picture. The vehicle license plate information and driver information are identified based on the front face picture, and the cargo in the compartment is identified based on the compartment picture. The management personnel are matched with the system scheduling information. After the matching is completed, go to step 8; Step 8: The vehicle passes the weighbridge and the vehicle weight information is matched with the system scheduling information. If it passes the test, unloading will be carried out.

[0023] Set up multiple checkpoints on the route of the vehicle, and set up a checkpoint camera at each checkpoint to identify the time and license plate information of the vehicle driving to the checkpoint. If the information is correct, it can be considered that the driving is fine. If any information is wrong, it is necessary to return to the loading area. The time of each checkpoint is calculated based on the driving distance and the specified driving speed within the factory area. That is, the time for the vehicle to enter each checkpoint is within a range. If it is not within the range, it means that there is a problem with the vehicle driving, which prevents the vehicle from stopping to replace or withdraw goods on the way to prevent cargo fraud.

[0024] Marking lines are drawn on the ground at each camera's shooting point (including loading area, unloading area and shooting points on the route) to facilitate drivers to slow down and pass after seeing the marking lines, and to facilitate the camera to take clear pictures.

[0025] The hardware and software of the present invention are designed at the same time. The hardware includes a bayonet camera ( Figure 2 This is the front view of the car in the loading area. Figure 3 This is a picture of the front of the car taken when it was weighed. Figure 4 The front view of the vehicle at a point on the path), the panoramic dome camera installed in the loading and unloading areas to shoot the cargo in the car ( Figure 5 Each bayonet camera and panoramic dome camera is connected to the large screen in the monitoring room to provide real-time feedback of the photos taken. The panoramic dome cameras in the unloading and loading areas also monitor the real-time images within the entire wide viewing angle and broadcast them to the large screen in the monitoring room.

[0026] In the software, all photos of a vehicle from the loading area to the unloading area are packaged into a folder for storage. The bayonet cameras and panoramic dome cameras at various points are connected to collect the information of the weighbridge, and the system is established with the vehicle information, driver information and shift information. When the shift information is confirmed, each vehicle arrives at each bayonet camera point within the specified time range, and the photo information matches the shift information successfully, and the vehicle operates normally. When a vehicle cannot pass due to information matching, it returns to the loading area, and the system manually adjusts the time for the vehicle to enter the system again after manual inspection.

[0027] Develop functional modules such as employee management, menu and button authorization management, data permission management, role management, vehicle management, vehicle passing records, information push, operation log, etc.

[0028] Employee management: Maintain system user information and divide user groups to facilitate permission management.

[0029] Vehicle management: Maintain the vehicle information that needs to be statistically recorded, and flexibly control the vehicle record information.

[0030] Vehicle passing management: By connecting to the camera message interface, the license plate, time, and photo information of the specified vehicle passing through each checkpoint can be obtained, and the pictures can be saved locally using IO technology. The message data can be integrated according to the logic algorithm designed according to the business process, and connected to the scale system database to obtain the weighing information at the corresponding time, which is convenient for management personnel to confirm and review vehicle information.

[0031] Log management: record the login, approval and other behaviors of system users, cooperate with authority management, and form a rigorous closed-loop control process for the vehicle transportation process.

[0032] Information push: Connect to the WeChat official account to push real-time information reminders when the vehicle passes the point, confirm that there are no problems with the normal capture process, and the driver can continue to work.

[0033] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as generally understood by those skilled in the art to which this application belongs. It should also be understood that terms such as those defined in common dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless defined as herein.

[0034] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A real-time monitoring method for unloading of transport vehicles within a factory, characterized in that: The following steps are involved: Step 1: Vehicle Scheduling: Schedule vehicles within the factory according to orders and determine the transportation plan. Scheduling information includes license plate number, driver information, transportation time, and cargo specifications, types, and weight; Step 2: Vehicle loading: Vehicles in the factory enter the loading area for loading according to the schedule in step 1; Step 3: After loading is completed, the vehicle enters the exit of the loading area. At this time, the vehicle in the factory area after loading is captured, the shift information is identified, and compared with the shift information in the system. If the comparison passes, go to step 6, otherwise go to step 4; Step 4: When it is determined that the shift information is not recognized or the recognized shift information is incomplete, the vehicle exits the loading area exit and re-enters the loading area exit for a second capture and recognition. If the shift information matches, it proceeds to step 6. Otherwise, the vehicle exits and proceeds to step 5. When it is determined that the scheduling information is incorrectly matched, go to step 5; Step 5: Manually check for errors, reload the goods according to the errors, eliminate the errors, and re-enter step 3; Step 6: The vehicle drives out of the loading area exit and drives to the unloading area according to the prescribed route; Step 7: Take a photo of the vehicle in the unloading area, identify the vehicle's shift information, and match it with the information in the system. After a successful match, unload the goods. Click on this vehicle in the system to complete the delivery. If no information is captured or the captured information is incomplete, exit the capture area and capture it again. If the information match is incorrect or the second capture information is still incomplete, go to step 5.

2. The method for real-time monitoring of unloading of transport vehicles within a factory according to claim 1, characterized in that: The specific process of capturing the vehicle in the factory in step 3 is as follows: Step 3.1: Snap a picture of the front of the vehicle and the carriage, identify the license plate information, and transmit the pictures of the front of the vehicle and the carriage to the monitoring screen. Compare the license plate information with the scheduled vehicle information in the system. If the license plate information is correct, the carriage is a scheduled vehicle, and proceed to step 3.

2. Otherwise, an error is reported and proceed to step 5. Step 3.2: Capture the driver's face, identify the driver's information, and transmit the driver's photo to the monitoring screen. If the driver's information is correct and the driver is scheduled, proceed to step 3.

3. Otherwise, an error message will be displayed and proceed to step 5. Step 3.3: The vehicle enters the weighing area for weighing, a picture of the vehicle is captured, and the picture and weighing information are sent back to the system. The system compares the weighing information to see if it is correct. If it is correct, it proceeds to step 6. Otherwise, it reports an error and proceeds to step 5.

3. The real-time monitoring method for unloading of transport vehicles within a factory according to claim 1 is characterized in that: In step 6, several checkpoints are set on the route from the loading area to the unloading area, each checkpoint is equipped with a snapshot camera, each camera is numbered, and each numbered camera is set with a corresponding error threshold range, and the error threshold includes license plate number, driver information, transportation time, and cargo type and weight.

4. The method for real-time monitoring of unloading of transport vehicles within a factory according to claim 3 is characterized in that: According to the scheduling information, a time range is set for the time when the vehicle enters each capture area. The time range is the effective time from the vehicle loading and departure from the loading area to each capture point. If the vehicle is not captured within the time range of the current capture point, it means that there is a problem with the vehicle's itinerary and it is not traveling at the prescribed speed. If the vehicle is not captured one by one at the corresponding capture points on the itinerary, it means that there is a problem with the vehicle's itinerary trajectory and it is not traveling according to the prescribed route.

5. The method for real-time monitoring of unloading of transport vehicles within a factory according to claim 3, characterized in that: There are marking lines drawn on the ground at each capture point. When the driver sees the marking lines, he / she slows down and passes through. After the capture is successful, the passing vehicle information is pushed to the driver's WeChat mobile phone, and the driver continues to drive. If the driver has passed the ground marking lines and did not receive the WeChat push notification of successful capture, he / she needs to return and pass the capture point again.

6. A system for implementing the real-time monitoring method for unloading of in-plant transport vehicles as described in any one of claims 1 to 5, characterized in that: It includes functional modules of employee management, vehicle management, vehicle passing management, log management, and information push; specifically: Employee management: Maintain system user information and divide user groups to facilitate permission management; user information includes user account, password, and contact information. User groups include administrators and ordinary salesmen. Ordinary salesmen have the authority to view vehicle records, driver information, and review vehicle records. Administrators have the authority to view salesmen's operation logs and maintain driver and vehicle information on the basis of ordinary salesmen; Vehicle management: Maintain the vehicle information that needs to be recorded. Not all vehicles traveling on the channel need to be monitored. Only the transport vehicles whose license plate information is read and maintained are monitored to control the vehicle record information. Vehicle passing management: By connecting to the camera message interface, the license plate, time, and photo information of the specified vehicle passing through each checkpoint are obtained, and the pictures are saved locally using IO technology. The message data is integrated according to the logic algorithm designed according to the business process, and connected to the scale system database to obtain the corresponding time of the weighing information, which is convenient for management personnel to confirm and review the vehicle information; Log management: record the login and approval behaviors of system users, cooperate with authority management, and form a rigorous closed-loop control process for vehicle transportation; Information push: Connect to the WeChat official account to push real-time information reminders when the vehicle passes the checkpoint, confirm that there are no problems with the normal capture process, and the driver can continue to work.

7. The real-time monitoring system for unloading of transport vehicles within a factory according to claim 6 is characterized in that: It also includes menu and button authorization management, data permission management and role management.

8. The real-time monitoring system for unloading of transport vehicles within a factory according to claim 6 is characterized in that: A bayonet camera is installed at the exit of the loading area to capture the front of the vehicle and identify the vehicle license plate and driver information. A panoramic dome camera is also installed at the exit to capture the cargo loaded in the carriage. The panoramic dome camera is linked to the bayonet camera.

9. The real-time monitoring system for unloading of transport vehicles within a factory according to claim 6 is characterized in that: A bayonet camera is installed in each weighing area to capture images of vehicles on the scale and identify license plate information.

10. The real-time monitoring system for unloading of transport vehicles within a factory according to claim 6, characterized in that: Install a bayonet camera in the unloading area to capture the front of the vehicle and identify the vehicle license plate and driver information; At the same time, a panoramic dome camera is installed opposite the bayonet camera in the unloading area to capture the cargo in the carriage.

Citation Information

Patent Citations

  • Vehicle positioning and dispatching system of passenger and freight roll / roll port area

    CN109034642A

  • Weighing system

    CN109146025A

  • Method and system for tracking a suspicious person according to travel partner based on spatio-temporal trajectory

    CN113934889A

  • Intelligent weighing and shunting control method and system for garbage collection

    CN114111988A

  • Bulk cargo storage yard vehicle network reservation and loading and unloading operation internet-of-things supervision method and system

    CN117575049A

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