CN-122022615-A - System and method for dynamically managing vehicle track of scattered and grocery port intelligent collection and distribution port

CN122022615ACN 122022615 ACN122022615 ACN 122022615ACN-122022615-A

Abstract

The invention discloses a system and a method for dynamically managing the track of an intelligent collection and distribution port vehicle of a scattered and grocery port, and relates to the technical field of intelligent port vehicle management. The intelligent monitoring system realizes real-time sensing, dynamic prediction and intelligent guiding of the whole running process of the vehicle, improves the normalization and safety of vehicle traffic, simultaneously realizes cooperative matching of links such as vehicle running, loading and unloading operation, yard operation, gate traffic and the like, effectively reduces vehicle waiting and residence time, improves the overall running efficiency of the concentration and concentration port operation, and provides accurate data support and traceable management means for port management through visual monitoring and whole process track recording, thereby promoting the development of the port vehicle management of bulk and bulk goods to an intelligent and refined direction.

Inventors

GUAN XIAO
YE BIHUA
Kong Zhenyang

Assignees

山东岚桥港有限公司

Dates

Publication Date: 20260512
Application Date: 20251210

Claims (10)

1. A system for dynamically managing the track of the intelligent collection and distribution port of scattered and mixed cargo port is characterized by comprising, The data fusion sensing module is used for acquiring vehicle-mounted positioning data, vehicle dynamic information acquired by road side sensing equipment and an operation task instruction in the port production scheduling system, and performing time synchronization and space matching on the acquired data to form a vehicle operation data stream; The dynamic track modeling prediction module is used for outputting continuous vehicle dynamic information based on the data fusion perception module, combining with a port internal road network model, performing real-time modeling on the running track of the vehicle in the process of collecting and dredging ports by utilizing a sequence prediction algorithm, and outputting a prediction path; the intelligent path guiding deviation correcting module is used for comparing the predicted path generated by the dynamic track modeling prediction module with a preset traffic path, generating a dynamic guiding strategy when detecting that the vehicle deviates from a planned route or potential path conflict exists, and correcting the predicted path through a scheduling instruction of the vehicle-mounted terminal; The cooperative scheduling linkage module is used for feeding back the comparison result of the predicted path and the preset passing path of the vehicle to the port production scheduling system, receiving real-time state information and completing the cooperative scheduling of bidirectional data between the operation of the vehicle and the operation task instruction in the port production scheduling system; and the visual monitoring and early warning module is used for integrating the processing procedures of the data fusion sensing module, the dynamic track modeling prediction module, the intelligent path guiding deviation correction module and the cooperative scheduling linkage module, realizing the real-time dynamic presentation of the tracks of all the vehicles in the collection and distribution port, recording the event results of automatic identification and completing the track dynamic management of the whole running process of the vehicles in the port.
2. The intelligent scattered-cargo port collection and distribution port vehicle track dynamic management system according to claim 1, wherein the data fusion sensing module comprises a positioning access unit, a multi-source heterogeneous data alignment unit and an operation task mapping unit; the dynamic track modeling prediction module comprises a port road network topology construction unit, a track fragment characteristic extraction unit and a self-adaptive track prediction unit; The intelligent path guiding deviation rectifying module comprises a path deviation judging unit, a conflict risk evaluating unit and a dynamic guiding instruction generating unit; the cooperative scheduling linkage module comprises a scheduling interface adapting unit, a feedback information analyzing unit and a cooperative control logic executing unit; The visual monitoring and early warning module comprises a three-dimensional geographic information rendering unit, a track abnormality detection unit and an event log storage unit.
3. The intelligent scattered-cargo port collection and distribution vehicle track dynamic management system according to claim 2, wherein the positioning access unit comprises a real-time position coordinate and speed information receiving unit for receiving the real-time position coordinate and speed information from the vehicle-mounted positioning terminal; the multi-source heterogeneous data alignment unit is used for carrying out coordinate conversion and time stamp calibration on vehicle-mounted positioning data, road side radar detection data and video identification results based on unified space-time references; The job task mapping unit is used for extracting the vehicle transportation task type, the loading and unloading point number and the reserved time window instruction information from the port production scheduling system, and binding the vehicle transportation task type, the loading and unloading point number and the reserved time window instruction information with corresponding vehicle identities to form a vehicle operation data stream with task attributes; the port road network topology construction unit is used for dividing the internal roads of the wharf into road section node diagrams with directional constraints and marking the limit areas, turning limits and operation function area boundaries; The track fragment feature extraction unit is used for extracting a traffic mode sequence from a preset traffic path and a predicted path generated according to the dynamic track modeling prediction module, searching an extraction stay point, a steering behavior and a road section stay time in the traffic mode sequence by using a computer, and obtaining a vehicle track flow; the self-adaptive track prediction unit is used for carrying out rolling prediction on the road section sequence passing by the next moment based on the hybrid neural network model and combining with the vehicle track flow to generate a vehicle track flow prediction path.
4. The intelligent scattered-cargo port collection and distribution port vehicle track dynamic management system according to claim 3, wherein the path deviation judging unit is used for calculating the topological distance difference between the predicted path of the vehicle track flow and the preset passing path and judging whether the topological distance difference exceeds a set threshold value ; The conflict risk assessment unit is used for identifying an abnormal road section area with congestion or cross interference based on the intersection relation of the vehicle track flow prediction path and the vehicle track flow in time and space; The dynamic guide instruction generating unit is used for generating a dynamic guide instruction according to the exceeding of a set threshold value The method comprises the steps of setting deviation degree conflict risk levels, generating a guiding instruction comprising recommended detour route, recommended speed reduction or pause traffic, and pushing the guiding instruction to a corresponding vehicle-mounted terminal; The scheduling interface adapting unit is used for not exceeding a set threshold value The present vehicle track flow prediction path is packaged into a communication protocol data packet which accords with a port production scheduling system; The feedback information analysis unit is used for analyzing the operation progress, the equipment occupation state and the release permission information returned by the yard management subsystem and the gate control subsystem under the port production scheduling system; The cooperative control logic execution unit is used for triggering task state update or adjusting subsequent vehicle arrival sequencing according to the arrival time of the vehicle track flow and the road surface condition of the predicted path of the vehicle track flow.
5. The intelligent scattered-cargo port collection and distribution port vehicle track dynamic management system according to claim 4, wherein the three-dimensional geographic information rendering unit is used for loading port electronic maps and displaying real-time positions of vehicles, predicted paths of vehicle track flows, vehicle track flows and preset passing paths in a superimposed mode; The track abnormality detection unit is used for monitoring a process of comparing a predicted path with a preset passing path and preventing the behavior of static, reverse running or entering a forbidden zone; the event log storage unit is used for recording a predicted path, a preset passing path, a vehicle track flow and a vehicle track flow predicted path according to time sequences to form a vehicle track management data chain; the port production scheduling system comprises a job task instruction; a vehicle transportation task type; Loading and unloading point numbers; reservation time window instruction information; A communication protocol data packet; a yard management subsystem; A gate control subsystem; The real-time state information comprises a storage yard operation instruction in a storage yard management subsystem and a gate passing link in a gate control subsystem.
6. The intelligent bulk and grocery port vehicle track dynamic management system according to claim 5, wherein the operation task instruction comprises an operation command to be executed by the vehicle in the bulk and grocery port, and the operation command comprises loading and unloading type, operation priority, task state identification and associated ship or stockpiling batch number; The vehicle transportation task type comprises task classification identifiers under different operation scenes of in-port ship unloading, out-port ship loading, yard transfer, box cargo transfer and empty vehicle return; The loading and unloading point numbers comprise a dock front berth number, a front temporary stacking area coordinate, a rear Fang Duichang berth number and a gate channel number, and are used for accurately defining the space position of a vehicle operation destination; The reservation time window instruction information comprises a time start-stop range, a job completion time limit and a timeout processing rule of a vehicle allowed to enter a harbor district, and the reservation time window instruction information is dynamically allocated and bound to a corresponding vehicle identity according to task priority; The communication protocol data packet comprises a data interaction format which is suitable for all contents in the port production scheduling system.
7. The intelligent scattered grocery port collection and distribution port vehicle track dynamic management system of claim 6, wherein the calculation formula for calculating the topological distance difference between the vehicle track flow prediction path and the preset passing path is as follows: Wherein, the Representing the integrated topological distance difference between the predicted path and the preset traffic path, Indicating that the predicted path is at the first The geographic coordinates at the individual key nodes, Indicating that the preset passing path is at the first The geographic coordinates at the individual key nodes, Representing the spatial euclidean distance between two points, Indicating that the predicted path is at the first The geographic coordinates at the individual key nodes, Indicating that the preset passing path is at the first The geographic coordinates at the individual key nodes, 、、 The weight coefficient is represented by a number of weight coefficients, The function is represented by a function that, Representing the total number of critical nodes.
8. A method for dynamically managing the track of the intelligent collection and distribution port of a scattered and mixed cargo port is based on the system for dynamically managing the track of the intelligent collection and distribution port of the scattered and mixed cargo port according to any one of claims 1 to 7, and is characterized by comprising the steps of, Collecting vehicle-mounted positioning data, vehicle dynamic information obtained by road side sensing equipment and an operation task instruction in a port production scheduling system, and performing time synchronization and space matching on the collected data to form a vehicle operation data stream; Based on the data fusion perception module, outputting continuous vehicle dynamic information, combining a port internal road network model, and utilizing a sequence prediction algorithm to model the running track of the vehicle in the process of collecting and dredging ports in real time, and outputting a predicted path; comparing the predicted path generated by the dynamic track modeling prediction module with a preset traffic path, generating a dynamic guiding strategy when detecting that the vehicle deviates from a planned route or potential path conflicts exist, and correcting the predicted path through a scheduling instruction of the vehicle-mounted terminal; The predicted path of the vehicle and a preset passing path comparison result are fed back to a port production scheduling system, real-time state information is received, and bidirectional data linkage scheduling coordination between vehicle operation and operation task instructions in the port production scheduling system is completed; The integrated data fusion perception module, the dynamic track modeling prediction module, the intelligent path guiding deviation correction module and the cooperative scheduling linkage module are used for realizing real-time dynamic presentation of all the vehicle tracks of the collection and distribution port, recording the event results of automatic identification and completing the track dynamic management of the whole running process of the vehicle in the port.
9. A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the computer program is characterized in that the processor realizes the steps of the intelligent scattered and grocery port collection and concentration port vehicle track dynamic management system according to any one of claims 1-7 when executing the computer program.
10. A computer readable storage medium, on which a computer program is stored, is characterized in that the computer program, when executed by a processor, implements the steps of the intelligent bulk cargo port collection and delivery vehicle track dynamic management system according to any one of claims 1 to 7.

Description

System and method for dynamically managing vehicle track of scattered and grocery port intelligent collection and distribution port Technical Field The invention relates to the technical field of intelligent port vehicle management, in particular to a system and a method for dynamically managing the track of an intelligent collection and distribution port vehicle of a scattered and grocery port. Background With the continuous development of social economy and the continuous growth of external trade, ports are used as important hubs for logistics transportation, the throughput and the operation efficiency face unprecedented pressure, and particularly in scattered grocery ports, the operation links of the gathering and distributing ports are complex, and the vehicles are frequently scheduled. In recent years, the rapid development of new generation information technologies such as the Internet of things, big data, artificial intelligence and the like promotes the acceleration of intelligent port construction, various automation and informatization systems are increasingly widely applied in port scenes, and port operation management is deeply transformed towards digitization and intellectualization. At present, the management of scattered and grocery harbour to gathering and distributing harbour vehicles relies on GPS positioning to combine with manual scheduling, so that rough position inquiry and post track playback of the vehicles can be realized, and the problems of route deviation, congestion and retention or mismatch with production operation rhythm and the like of the vehicles are easily caused in the operation process due to the lack of real-time dynamic perception and intelligent prejudgment capability of the running paths of the vehicles in the harbour, so that the overall operation efficiency of the harbour is influenced. Disclosure of Invention The invention provides the system and the method for dynamically managing the track of the scattered cargo port intelligent collection and distribution port vehicle. Therefore, the invention aims to solve the problems that the real-time perception capability of the path is weak, the dynamic prediction and intelligent guiding functions are lacking, and the defects of route deviation, traffic jam and low operation coordination efficiency are difficult to effectively avoid because the conventional scattered-cargo port concentration and concentration vehicle management only depends on GPS positioning and manual scheduling. In order to solve the technical problems, the invention provides the following technical scheme: In a first aspect, an embodiment of the present invention provides a system for dynamically managing a track of an intelligent collection and distribution port of a bulk cargo port, which includes a data fusion sensing module, configured to collect vehicle positioning data, vehicle dynamic information acquired by a road side sensing device, and an operation task instruction in a port production scheduling system, and perform time synchronization and space matching on the collected data to form a vehicle operation data stream; The dynamic track modeling prediction module is used for outputting continuous vehicle dynamic information based on the data fusion perception module, combining with a port internal road network model, performing real-time modeling on the running track of the vehicle in the process of collecting and dredging ports by utilizing a sequence prediction algorithm, and outputting a prediction path; the intelligent path guiding deviation correcting module is used for comparing the predicted path generated by the dynamic track modeling prediction module with a preset traffic path, generating a dynamic guiding strategy when detecting that the vehicle deviates from a planned route or potential path conflict exists, and correcting the predicted path through a scheduling instruction of the vehicle-mounted terminal; The cooperative scheduling linkage module is used for feeding back the comparison result of the predicted path and the preset passing path of the vehicle to the port production scheduling system, receiving real-time state information and completing the cooperative scheduling of bidirectional data between the operation of the vehicle and the operation task instruction in the port production scheduling system; and the visual monitoring and early warning module is used for integrating the processing procedures of the data fusion sensing module, the dynamic track modeling prediction module, the intelligent path guiding deviation correction module and the cooperative scheduling linkage module, realizing the real-time dynamic presentation of the tracks of all the vehicles in the collection and distribution port, recording the event results of automatic identification and completing the track dynamic management of the whole running process of the vehicles in the port. As a preferable scheme of the intelligent scattered and grocery por