Transportation monitoring system and method

Abstract

The invention relates to the technical field of monitoring, in particular to a transportation monitoring system and method.The system comprises a data server, a positioning device arranged on transportation equipment and a visual recognition module arranged on a transportation line where the transportation equipment is located; the data server is respectively in communication connection with the positioning device and the visual identification module; the visual identification module is used for identifying the carrying state of target transportation equipment and sending the carrying state to the data server; the positioning device is used for sending the position information of the target transportation equipment in the transportation process to the data server; and the data server is used for outputting abnormal early warning information according to the carrying state and the position information.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of monitoring, in particular to a transportation monitoring system and method. BACKGROUND

[0002] At present, a large amount of industrial solid waste is generated in industrial production, and the generated industrial solid waste needs to be transported to a designated ash field for centralized treatment. In order to ensure the standardization of the transportation process, the transportation state needs to be monitored. The monitoring methods usually include manual judgment and GPS positioning.

[0003] However, the manual judgment method has low efficiency and accuracy, and cannot perform real-time monitoring. The GPS positioning cannot judge the actual carrying state of the transportation equipment, and there is a monitoring blind area. In addition, the above two methods lack unified data management, and it is difficult to realize centralized monitoring and problem tracing. SUMMARY

[0004] In order to solve the above problems, the present disclosure provides a transportation monitoring system and method.

[0005] According to a first aspect of an embodiment of the present disclosure, a transportation monitoring system is provided, the system comprising a data server, a positioning device arranged on a transportation equipment, and a visual recognition module arranged on a transportation line where the transportation equipment is located; the data server is in communication connection with the positioning device and the visual recognition module respectively; the visual recognition module is configured to identify a carrying state of a target transportation equipment, and send the carrying state to the data server; the positioning device is configured to send position information of the target transportation equipment in a transportation process to the data server; and the data server is configured to output an abnormal early warning information according to the carrying state and the position information.

[0006] Optionally, the visual recognition module comprises a first visual recognition module arranged at a transportation starting point of the transportation line and a second visual recognition module arranged at a transportation ending point of the transportation line; the first visual recognition module is configured to identify a first carrying state of the target transportation equipment when passing through the transportation starting point; and the second visual recognition module is configured to identify a second carrying state of the target transportation equipment when passing through the transportation ending point.

[0007] Optionally, the first visual recognition module is configured to generate a transportation start instruction when the first carrying state is a full load state, the transportation start instruction being used to indicate that the target transportation equipment starts transportation; and the second visual recognition module is configured to generate a transportation completion instruction when the second carrying state is a full load state, the transportation start instruction being used to indicate that the target transportation equipment ends transportation.

[0008] Optionally, the data server is configured to output first abnormal early warning information when the second carrying state is the half-loaded state or the empty state.

[0009] Optionally, the first visual recognition module is further configured to send a first time when the target transportation device passes the transportation starting point to the data server; the second visual recognition module is further configured to send a second time when the target transportation device passes the transportation ending point to the data server; and the data server is further configured to output second early warning prompt information when a difference between the second time and the first time is not within a first preset time difference range.

[0010] Optionally, the second visual recognition module is further configured to identify a third carrying state of the target transportation device after the target transportation device unloads the goods at the transportation ending point, and send the third carrying state to the data server; and the data server is further configured to output third early warning prompt information when the third carrying state is the full-loaded state or the half-loaded state.

[0011] Optionally, the second visual recognition module is further configured to send a third time when the target transportation device finishes unloading the goods to the data server; and the data server is further configured to output fourth early warning prompt information when a difference between the third time and the second time is not within a second preset time difference range.

[0012] Optionally, the data server is further configured to output fifth early warning prompt information when the position information is not within a preset area, the preset area including the transportation line.

[0013] Optionally, the visual recognition module is further configured to collect image data of the target transportation device through the image collection device, and send the image data to the data server.

[0014] According to a second aspect of the embodiments of the present disclosure, a transportation monitoring method is provided, applied to a transportation monitoring system; the system includes a data server, a positioning device arranged on a transportation device, and a visual recognition module arranged on a transportation line where the transportation device is located; the data server is in communication connection with the positioning device and the visual recognition module respectively; the method includes: identifying a carrying state of a target transportation device, and sending the carrying state to the data server; sending position information of the target transportation device in a transportation process to the data server through the positioning device; and outputting abnormal early warning information according to the carrying state and the position information through the data server.

[0015] Optionally, the visual identification module comprises a first visual identification module arranged at a transportation starting point of the transportation line and a second visual identification module arranged at a transportation ending point of the transportation line; the identifying the carrying state of the target transportation device comprises: identifying, by the first visual identification module, a first carrying state of the target transportation device when passing the transportation starting point; and identifying, by the second visual identification module, a second carrying state of the target transportation device when passing the transportation ending point.

[0016] Optionally, the identifying the carrying state of the target transportation device further comprises: in a case where the first carrying state is a full load state, generating a transportation start instruction for instructing the target transportation device to start transportation; and in a case where the second carrying state is a full load state, generating a transportation completion instruction for instructing the target transportation device to end transportation.

[0017] Optionally, the outputting, by the data server, the abnormal early warning information according to the carrying state and the position information comprises: in a case where the second carrying state is a half load state or an empty load state, outputting first abnormal early warning information.

[0018] Optionally, the outputting, by the data server, the abnormal early warning information according to the carrying state and the position information further comprises: sending, by the first visual identification module, a first time when the target transportation device passes the transportation starting point to the data server; sending, by the second visual identification module, a second time when the target transportation device passes the transportation ending point to the data server; and in a case where a difference between the second time and the first time is not within a first preset time difference range, outputting second early warning prompt information.

[0019] Optionally, the method further comprises: identifying, by the second visual identification module, a third carrying state of the target transportation device after the target transportation device unloads goods at the transportation ending point, and sending the third carrying state to the data server; and outputting, by the data server, third early warning prompt information in a case where the third carrying state is a full load state or a half load state.

[0020] Optionally, the method further comprises: sending, by the second visual identification module, a third time when the target transportation device completes the unloading of goods to the data server; and outputting, by the data server, fourth early warning prompt information in a case where a difference between the third time and the second time is not within a second preset time difference range.

[0021] Optionally, the method further comprises: in a case where the position information is not within a preset area, outputting fifth early warning prompt information, the preset area comprising the transportation line.

[0022] Optionally, the method further comprises: collecting, by the visual recognition module, image data of the target transportation device, and sending the image data to the data server.

[0023] According to the above technical solution, the carrying state of the target transportation device is recognized by the visual recognition module, and the carrying state is sent to the data server. The position information of the target transportation device in the transportation process is sent to the data server by the positioning device, and the data server outputs the abnormal early warning information according to the carrying state and the position information. In this way, multi-source data including the carrying state and the position information can be obtained, and monitoring and early warning can be performed by comprehensively considering the carrying state and the position information, thereby improving the accuracy of monitoring and early warning. At the same time, the monitoring data is obtained by the visual recognition module and the positioning device, thereby effectively improving the efficiency and real-time performance of monitoring, and effectively reducing the monitoring blind area. At the same time, the data server combines the carrying state and the position information to perform monitoring and early warning, thereby realizing centralized monitoring and problem tracing.

[0024] Other features and advantages of the present disclosure will be described in detail in the following detailed description section. BRIEF DESCRIPTION OF DRAWINGS

[0025] The accompanying drawings are included to provide a further understanding of the present disclosure, and constitute a part of the specification, and are used to explain the present disclosure together with the following detailed description, but do not constitute a limitation of the present disclosure. In the drawings: Figure 1 is a block diagram of a transportation monitoring system according to an exemplary embodiment.

[0026] Figure 2 is a block diagram of another transportation monitoring system according to an exemplary embodiment.

[0027] Figure 3 is a flowchart of a transportation monitoring method according to an exemplary embodiment. DETAILED DESCRIPTION

[0028] The specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.

[0029] In the following description, the words "first", "second", etc. are used only for the purpose of distinguishing the described objects, and cannot be understood as indicating or implying relative importance, nor indicating or implying sequence.

[0030] In the related art, a large amount of industrial solid waste is generated in industrial production, and the generated industrial solid waste needs to be transported to a designated ash field for centralized treatment. In order to ensure the normativity of the transportation process, the transportation state needs to be monitored. The monitoring methods usually include manual judgment and GPS positioning. However, the manual judgment method has low efficiency and accuracy, and cannot perform real-time monitoring. The GPS positioning cannot judge the actual carrying state of the transportation equipment, has a monitoring blind area, and the above two methods lack unified data management, and it is difficult to realize centralized monitoring and problem tracing.

[0031] In order to solve the above problems, the present disclosure provides a transportation monitoring system and method, which identifies the carrying state of the target transportation equipment through a visual recognition module, and sends the carrying state to a data server, and through a positioning device, the position information of the target transportation equipment in the transportation process is sent to the data server, and through the data server, abnormal early warning information is output according to the carrying state and the position information. In this way, multi-source data including the carrying state and the position information can be obtained, and monitoring and early warning can be performed by comprehensively considering the carrying state and the position information, which improves the accuracy of monitoring and early warning. At the same time, the monitoring data is obtained through the visual recognition module and the positioning device, which effectively improves the efficiency and real-time performance of monitoring, effectively reduces the monitoring blind area, and at the same time, the data server combines the carrying state and the position information to perform monitoring and early warning, which can realize centralized monitoring and problem tracing.

[0032] The present disclosure will be described below in conjunction with specific embodiments.

[0033] Figure 1 is a block diagram of a transportation monitoring system 100 according to an exemplary embodiment, as shown in Figure 1 The system includes a data server 101, a positioning device 102 arranged on a transportation equipment, and a visual recognition module 103 arranged on a transportation line where the transportation equipment is located; the data server 101 is in communication connection with the positioning device 102 and the visual recognition module 103 respectively; the visual recognition module 103 is used to identify the carrying state of the target transportation equipment, and send the carrying state to the data server 101; the positioning device 102 is used to send the position information of the target transportation equipment in the transportation process to the data server 101; the data server 101 is used to output abnormal early warning information according to the carrying state and the position information.

[0034] The transportation monitoring system 100 can be applied to a power plant station, the transportation equipment can include a transportation vehicle carrying industrial solid waste such as fly ash, and the transportation route can include a route from the power plant station to an industrial solid waste unloading point such as a fly ash storage yard. The data server 101 can be deployed in the control center of the power plant station, and the data server 101 is configured with a Beidou short message receiving module, which can receive monitoring data packets of the transportation equipment from each monitoring point, and store the monitoring data in the server database according to the identity information of the transportation equipment, and perform time alignment and logical consistency verification according to multi-source data (such as position information, image time, carrying state and transportation time, etc.) to determine abnormal early warning analysis results. The data server 101 is also configured with a visualization page such as Web (World Wide Web, World Wide Web) to show the user the transportation state information of the target transportation equipment, such as transportation trajectory information, transportation state changes (such as transportation or cargo unloading), image data and abnormal early warning information, etc. The positioning device 102 can include a vehicle-mounted Beidou terminal module, and the positioning device 102 has Beidou positioning and short message communication functions, which can send Beidou short messages dedicated to the Beidou satellite navigation system to the data server 101 to report the transportation node time such as the departure time and the driver interaction information such as confirming the departure, and report the position information of the target transportation equipment according to a preset period such as every 5 minutes. The visual recognition module 103 can construct a local data processing node based on an edge computing box (Edge Computing Box) or an industrial personal computer (Industrial Personal Computer, IPC), and the visual recognition module 103 can include an image acquisition device and an AI (Artificial Intelligence, Artificial Intelligence) algorithm service module. The image acquisition device can include multiple cameras such as infrared cameras to capture images of the target transportation equipment, and the AI algorithm service module can identify the carriage area of the target transportation equipment in the image based on a real-time target detection deep learning algorithm such as a YOLOv8 model to confirm the carrying state of the target transportation equipment and the confidence of the recognition result, wherein the transportation state of the target transportation equipment can include any one of empty, half-loaded and full-loaded, and the confidence represents the probability certainty of the recognition result. The AI algorithm service module can be trained through multiple different light, weather, vehicle type and solid waste accumulation form historical carrying states, and the recognition accuracy of the AI algorithm service module is more than 95% through experimental determination. In addition, the visual recognition module 103 can be configured with a communication terminal having a Beidou short message sending function, which can send the carrying state identified by the AI algorithm service module to the data server 101 through the Beidou satellite network.

[0035] The above technical solution can identify the carrying state of the target transportation device through the visual recognition module, and send the carrying state to the data server. The position information of the target transportation device in the transportation process is sent to the data server through the positioning device. The data server outputs abnormal early warning information according to the carrying state and the position information. In this way, multi-source data including the carrying state and the position information can be obtained, and monitoring and early warning can be performed by comprehensively considering the carrying state and the position information, thereby improving the accuracy of monitoring and early warning. At the same time, the monitoring efficiency and real-time performance are effectively improved by obtaining monitoring data through the visual recognition module and the positioning device, and the monitoring blind area is effectively reduced. At the same time, the data server can realize centralized monitoring and problem tracing by monitoring and early warning in combination with the carrying state and the position information. In addition, the data server, the positioning device and the visual recognition module are based on Beidou communication, which can adapt to complex environments such as dust, remote and no public network coverage.

[0036] In some embodiments, the visual recognition module 103 includes a first visual recognition module 1031 arranged at a transportation starting point of the transportation line and a second visual recognition module 1032 arranged at a transportation ending point of the transportation line; the first visual recognition module 1031 is configured to identify a first carrying state of the target transportation device passing through the transportation starting point; and the second visual recognition module 1032 is configured to identify a second carrying state of the target transportation device passing through the transportation ending point.

[0037] The transportation starting point can include a departure point of a power plant station, and the transportation ending point can include a parking point of an industrial solid waste unloading point. For example, the first carrying state can be identified when the target vehicle carries industrial solid waste through the departure point of the power plant station, and the second carrying state can be identified when the target vehicle carries industrial solid waste through the parking point of the industrial solid waste unloading point.

[0038] The above technical solution can obtain the carrying state of the target transportation device at the transportation starting point and the transportation ending point through the visual recognition module, which can improve the efficiency and real-time performance of monitoring, reduce the monitoring blind area, and improve the accuracy of monitoring and early warning.

[0039] In some embodiments, the first visual recognition module 1031 is configured to generate a transportation start instruction when the first carrying state is a full load state; and the second visual recognition module 1032 is configured to generate a transportation completion instruction when the second carrying state is a full load state.

[0040] The transport start indication is used to indicate that the target transport device starts transporting, and the transport end indication is used to indicate that the target transport device ends transporting. For example, when the first visual recognition module 1031 identifies that the first carrying state is a full load state, the target transport device has loaded the industrial solid waste in the carriage to fullness, and the transport start indication can be given to the user to indicate that the user can start transporting the industrial solid waste. Correspondingly, when the second visual recognition module 1032 identifies that the second carrying state is a full load state, the target transport device has transported all the industrial solid waste loaded in the carriage to the industrial solid waste unloading point, and the transport end indication can be given to the user to indicate that the user has completed the transportation of the industrial solid waste, and subsequent unloading of the industrial solid waste can be performed.

[0041] The above technical solution can make the transport start and transport end indications to the user according to the carrying states of the target transport device at the transport start point and the transport end point through the visual recognition module, can improve the accuracy of monitoring and early warning, improve the efficiency of industrial solid waste, and improve the user experience.

[0042] In some embodiments, the data server 101 is configured to output first abnormal early warning information when the second carrying state is a half load state or an empty load state.

[0043] For example, the second carrying state being a half load state indicates that there is a loss and / or leakage of part of the industrial solid waste in the carriage during the transportation of the target transport device, and the second carrying state being an empty load state indicates that there is a loss and / or leakage of all the industrial solid waste in the carriage during the transportation of the target transport device. At this time, the user needs to be given an abnormal early warning to prompt the user that there may be an abnormal situation causing the loss and / or leakage of industrial solid waste during the transportation. The output mode of the first abnormal early warning information can include audible and visual output such as a signal indicator, or terminal output such as sending a prompt information “loss of goods during transportation” to the terminal device corresponding to the manager, and the present disclosure does not make a specific limitation in this regard.

[0044] The above technical solution can output early warning prompt information according to the carrying state of the transport device after passing through the transport end point through the data server, which can facilitate the user to investigate the loss of industrial solid waste during the transportation process, effectively improve the efficiency and real-time performance of monitoring, and realize centralized monitoring and problem tracing.

[0045] In some embodiments, the first visual recognition module 1031 is further configured to send the first time when the target transportation device passes the transportation starting point to the data server 101; the second visual recognition module 1032 is further configured to send the second time when the target transportation device passes the transportation ending point to the data server 101; and the data server 101 is further configured to output a second early warning prompt information in a case where a difference between the second time and the first time is not within a first preset time difference range.

[0046] For example, the first visual recognition module 1031 can send the first time when the target transportation device passes the transportation starting point to the data server 101 through the Beidou satellite network in a case where the first carrying state is a full load state and a transportation start instruction is given to the user; the second visual recognition module 1032 can send the second time when the target transportation device passes the transportation ending point to the data server 101 through the Beidou satellite network; the data server 101 can calculate the difference between the second time and the first time to determine the total time consumption of the transportation process, and determine that an abnormal early warning needs to be given to the user to prompt the user that there may be an abnormal situation causing the transportation device to malfunction and / or drive irregularly in the transportation process in a case where the determined total time consumption is not within a first preset time difference range, where the first preset time difference range can be determined according to the actual situation of the transportation line. The output mode of the first abnormal early warning information can include audible and visual output such as a signal indicator light, or terminal output such as sending a prompt information "abnormal transportation time consumption" to the terminal device corresponding to the manager, which is not limited in the present disclosure.

[0047] The above technical solution can output an early warning prompt information by the data server according to the total time consumption of the transportation device in the transportation process, which can facilitate the user to troubleshoot the transportation time consumption abnormal loss phenomenon of the transportation device in the transportation process, effectively improve the efficiency and real-time performance of the monitoring, and realize centralized monitoring and problem tracing.

[0048] In some embodiments, the second visual recognition module 1032 is further configured to identify a third carrying state of the target transportation device after the target transportation device unloads the goods at the transportation ending point, and send the third carrying state to the data server 101; and the data server 101 is further configured to output a third early warning prompt information in a case where the third carrying state is a full load state or a half load state.

[0049] For example, the third carrying state is a full load state, indicating that the industrial solid waste in the carriage of the target transportation device is not unloaded during the cargo unloading process; the third carrying state is a half load state, indicating that the industrial solid waste in the carriage of the target transportation device is only partially unloaded but not completely unloaded during the cargo unloading process, and an abnormal warning needs to be given to the user to prompt the abnormal phenomenon that the industrial solid waste is not completely unloaded. The output mode of the third abnormal warning information can include an audible and visual output such as a signal indicator light, or a terminal output such as sending a prompt message “cargo is not completely unloaded during the cargo unloading process” to the terminal device corresponding to the management personnel, which is not specifically limited in the present disclosure.

[0050] The above technical solution can output a warning prompt information by the data server according to the carrying state of the transportation device after the cargo unloading at the transportation terminal, which can facilitate the user to troubleshoot the phenomenon that the cargo is not completely unloaded during the cargo unloading process, effectively improves the efficiency and real-time performance of the monitoring, and realizes centralized monitoring and problem tracing.

[0051] In some embodiments, the second visual recognition module 1032 is further configured to send a third time when the target transportation device completes the cargo unloading to the data server 101; and the data server 101 is further configured to output a fourth warning prompt information in a case that a difference between the third time and the second time is not within a second preset time difference range.

[0052] For example, the second visual recognition module 1032 can send the third time when the target transportation device completes the cargo unloading to the data server 101 through the Beidou satellite network when the target transportation device completes the cargo unloading, and the data server 101 can calculate the difference between the third time and the second time to determine the cargo unloading time consumption, and determine that an abnormal warning needs to be given to the user to prompt the user that there may be an abnormal situation causing the cargo unloading in the cargo unloading process in a case that the determined cargo unloading time consumption is not within the second preset time difference range, wherein the second preset time difference range can be determined and adjusted according to the historical cargo unloading time. The output mode of the fourth abnormal warning information can include an audible and visual output such as a signal indicator light, or a terminal output such as sending a prompt message “cargo unloading time consumption is abnormal” to the terminal device corresponding to the management personnel, which is not specifically limited in the present disclosure.

[0053] The above technical solution can output a warning prompt information by the data server according to the carrying state of the transportation device after the cargo unloading at the transportation terminal, which can facilitate the user to troubleshoot the phenomenon that the cargo is not completely unloaded during the cargo unloading process, effectively improves the efficiency and real-time performance of the monitoring, and realizes centralized monitoring and problem tracing.

[0054] In some embodiments, the data server 101 is further configured to output a fifth abnormality warning prompt information when the location information is not in the preset area.

[0055] The preset area includes the transportation route and an area within a preset range around the transportation route, and the preset range can be determined according to actual conditions, for example, 500 meters. The transportation route can include one or more transportation routes from the power plant station to the industrial solid waste unloading point. For example, when the data server 101 determines that the location information is not in the preset area, an abnormality warning needs to be given to the user to prompt the abnormality of the transportation route. The output mode of the fifth abnormality warning information can include sound and light output such as a signal indicator, or terminal output such as sending a prompt information "abnormality of goods transportation route" to the terminal device corresponding to the manager, which is not limited in the present disclosure.

[0056] The above technical solutions can output a warning prompt information according to the location information of the transportation device by the data server, which can facilitate the user to troubleshoot the abnormality of the goods transportation route of the transportation device during transportation, effectively improve the efficiency and real-time performance of monitoring, and realize centralized monitoring and problem tracing.

[0057] In some embodiments, the visual recognition module 103 is further configured to collect image data of the target transportation device and send the image data to the data server.

[0058] The visual recognition module 103 can perform data preprocessing and calculation to reduce transmission delay and bandwidth pressure. For example, the visual recognition module 103 can collect image data of the target transportation device through an image collection device such as an infrared camera, generate a binary compression package from the image data collected by the image collection device through a JPEG (Joint Photographic Experts Group, Joint Photographic Experts Group) compression algorithm, then split the compressed binary data into multiple frames based on a frame transmission protocol, where the length of each frame is limited within 78 bytes, and add frame check information, then convert each frame data into ASCII (American Standard Code for Information Interchange, American Standard Code for Information Interchange) character format through Base64 encoding to realize efficient and distortionless transmission of subsequent image data, and finally package the processed image data and the recognized carrying state and send it to the data server 101 through the Beidou satellite network. The data server 101 can store the image data to provide data support and supplement for the output of the abnormality warning information.

[0059] The above technical scheme can realize comprehensive monitoring combined with the carrying state and image data, effectively reduce the monitoring blind area, improve the accuracy of monitoring and early warning, and realize centralized monitoring and problem tracing.

[0060] Figure 3 is a flowchart of a transportation monitoring method according to an exemplary embodiment, as shown in Figure 3 The method can be applied to a transportation monitoring system, which includes a data server, a positioning device arranged on a transportation device, and a visual recognition module arranged on a transportation line where the transportation device is located, and the data server is in communication connection with the positioning device and the visual recognition module respectively; the method can include: S301, identifying the carrying state of a target transportation device by a visual recognition module, and sending the carrying state to a data server.

[0061] S302, sending the position information of the target transportation device in the transportation process to the data server by the positioning device; S303, outputting abnormal early warning information according to the carrying state and the position information by the data server.

[0062] Optionally, the visual recognition module includes a first visual recognition module arranged at the transportation starting point of the transportation line and a second visual recognition module arranged at the transportation terminal point of the transportation line; the identification of the carrying state of the target transportation device includes: identifying the first carrying state of the target transportation device passing through the transportation starting point by the first visual recognition module; identifying the second carrying state of the target transportation device passing through the transportation terminal point by the second visual recognition module.

[0063] Optionally, the identification of the carrying state of the target transportation device further includes: in the case that the first carrying state is a full load state, generating a transportation start instruction, the transportation start instruction being used to indicate that the target transportation device starts transportation; in the case that the second carrying state is a full load state, generating a transportation completion instruction, the transportation start instruction being used to indicate that the target transportation device ends transportation.

[0064] Optionally, the outputting of the abnormal early warning information by the data server according to the carrying state and the position information includes: in the case that the second carrying state is a half load state or an empty load state, outputting first abnormal early warning information.

[0065] Optionally, the outputting, by the data server, of the abnormal early warning information according to the carrying state and the position information further comprises: sending, by the first visual recognition module, a first time when the target transportation device passes the transportation starting point to the data server; sending, by the second visual recognition module, a second time when the target transportation device passes the transportation ending point to the data server; and outputting a second early warning prompt information in a case where a difference between the second time and the first time is not within a first preset time difference range.

[0066] Optionally, the method further comprises: identifying, by the second visual recognition module, a third carrying state of the target transportation device after the target transportation device unloads the goods at the transportation ending point, and sending the third carrying state to the data server; and outputting, by the data server, a third early warning prompt information in a case where the third carrying state is a full load state or a half load state.

[0067] Optionally, the method further comprises: sending, by the second visual recognition module, a third time when the target transportation device completes the unloading of the goods to the data server; and outputting, by the data server, a fourth early warning prompt information in a case where a difference between the third time and the second time is not within a second preset time difference range.

[0068] Optionally, the method further comprises: outputting a fifth early warning prompt information in a case where the position information is not within a preset area, the preset area comprising the transportation line.

[0069] Optionally, the method further comprises: collecting, by the visual recognition module, image data of the target transportation device, and sending the image data to the data server.

[0070] With the above method, the carrying state of the target transportation device can be identified by the visual recognition module, and the carrying state is sent to the data server, and the position information of the target transportation device in the transportation process is sent to the data server by the positioning device, and the data server outputs abnormal early warning information according to the carrying state and the position information. In this way, multi-source data including the carrying state and the position information can be obtained, and monitoring and early warning are performed by comprehensively considering the carrying state and the position information, thereby improving the accuracy of monitoring and early warning. At the same time, the monitoring efficiency and real-time performance are effectively improved by obtaining monitoring data through the visual recognition module and the positioning device, and the monitoring blind area is effectively reduced. At the same time, the data server combines the carrying state and the position information to perform monitoring and early warning, thereby realizing centralized monitoring and problem tracing. In addition, the data server, the positioning device and the visual recognition module are based on Beidou communication, which can adapt to complex environments such as dusty, remote and no public network coverage.

[0071] As to the method in the above-mentioned embodiments, the specific ways of each step have been described in detail in the embodiments of the system, and will not be described in detail here.

[0072] The preferred embodiments of the present disclosure are described in detail above with reference to the drawings, but the present disclosure is not limited to the specific details of the above-described embodiments. Various simple modifications can be made to the technical solutions of the present disclosure within the technical concept of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.

[0073] In addition, it should be noted that each specific technical feature described in the above specific embodiments can be combined in any appropriate manner without contradiction. In order to avoid unnecessary repetition, various possible combinations are not described again in the present disclosure.

[0074] In addition, various different embodiments of the present disclosure can also be combined in any manner, as long as they do not deviate from the idea of the present disclosure, and they should also be considered as disclosed by the present disclosure.

Claims

1. A transportation monitoring system, characterized in that, The system includes a data server, a positioning device deployed on the transportation equipment, and a visual recognition module deployed on the transportation route where the transportation equipment is located; the data server is communicatively connected to the positioning device and the visual recognition module respectively. The visual recognition module is used to identify the carrying status of the target transportation equipment and send the carrying status to the data server; The positioning device is used to send the location information of the target transportation equipment during transportation to the data server; The data server is used to output abnormal warning information based on the carrying status and the location information.

2. The system according to claim 1, characterized in that, The visual recognition module includes a first visual recognition module arranged at the starting point of the transportation route and a second visual recognition module arranged at the ending point of the transportation route. The first visual recognition module is used to identify the first carrying status of the target transportation equipment after passing through the transportation starting point; The second visual recognition module is used to identify the second carrying status of the target transportation equipment after passing the transportation destination.

3. The system according to claim 2, characterized in that, The first visual recognition module is used to generate a transportation start indication when the first transportation state is a fully loaded state, and the transportation start indication is used to instruct the target transportation equipment to start transportation; The second visual recognition module is used to generate a transportation completion indication when the second transportation state is a fully loaded state, and the transportation start indication is used to indicate that the target transportation equipment has ended transportation.

4. The system according to claim 3, characterized in that, The data server is used to output a first abnormal warning message when the second carrying state is half-loaded or empty.

5. The system according to claim 2, characterized in that, The first visual recognition module is also used to send the first moment when the target transportation equipment passes through the transportation starting point to the data server; The second visual recognition module is also used to send the second moment when the target transportation equipment passes through the transportation destination to the data server; The data server is also configured to output a second warning message when the difference between the second time and the first time is not within the first preset time difference range.

6. The system according to claim 5, characterized in that, The second visual recognition module is also used to identify the third carrying status of the target transportation equipment after the goods are unloaded at the transportation destination, and send the third carrying status to the data server; The data server is also used to output a third early warning message when the third carrying state is a full-load state or a half-load state.

7. The system according to claim 6, characterized in that, The second visual recognition module is also used to send the third moment when the target transportation equipment completes the unloading of goods to the data server; The data server is also used to output a fourth warning message when the difference between the third time and the second time is not within the second preset time difference range.

8. The system according to claim 1, characterized in that, The data server is also configured to output a fifth warning message when the location information is not in a preset area, wherein the preset area includes the transportation route.

9. The system according to any one of claims 1-8, characterized in that, The visual recognition module is also used to collect image data of the target transportation equipment and send the image data to the data server.

10. A transportation monitoring method, characterized in that, It is applied to a transportation monitoring system; the system includes a data server, a positioning device deployed on the transportation equipment, and a visual recognition module deployed on the transportation route where the transportation equipment is located; The data server is communicatively connected to both the positioning device and the visual recognition module; the method includes: Identify the carrying status of the target transportation equipment and send the carrying status to the data server; The positioning device sends the location information of the target transportation equipment during transportation to the data server. The data server outputs anomaly warning information based on the vehicle status and location information.

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