Technology station operation time consumption prediction method and system

Abstract

The invention provides a technology station operation time consumption prediction method and system. The technology station operation time consumption prediction method comprises the following steps: obtaining position information of a debugging machine, personnel and a vehicle; determining the position of the dispatching machine in the station; the method comprises the following steps: determining key nodes in an operation process by taking fixed production elements in a technical station as key markers; based on division of an operation area in a station, positioning a station track, and dynamically positioning a transfer machine and personnel; and calculating the position relationship of all production elements in the station in real time, and predicting the time consumption of the disintegration operation and the marshalling operation. According to the technical scheme, high-precision prediction of time consumption of disassembly operation and marshalling operation of the technical station is realized; the operation time consumption can be pre-judged in real time, the method has the remarkable advantages of being high in effectiveness and timeliness, and the efficiency and accuracy of operation management of the technical station are greatly improved.

Description

Background Art

[0002] In the operation and management of railway technical stations, accurate prediction of the time-consuming of disintegration operations and formation operations is crucial for improving transportation efficiency. Traditional prediction methods mainly rely on manual vehicle following and manual time recording, followed by manual statistical analysis. This manual operation mode has many defects. First, a large amount of manual input is required, and a large number of staff need to be arranged to follow the vehicle, record and statistically analyze the data. This not only increases the labor cost, but also easily leads to data recording errors or omissions due to human factors. Second, the cycle is long. It often takes a long time from data collection to the final prediction result, which is difficult to meet the requirements of high efficiency and rapidity in modern railway transportation. Third, the efficiency is low. The speed of manual data processing is limited, and real-time prediction of operation time-consuming cannot be achieved. Finally, the accuracy is poor. It is difficult for manual recording and statistics to accurately grasp various complex situations in the operation process, resulting in a large deviation between the prediction result and the actual situation, and the timeliness is poor. It cannot provide effective support for operation decision-making in a timely manner, seriously restricting the improvement of the operation management level of technical stations and the improvement of railway transportation efficiency. Summary of the Invention

[0003] This application provides a method and system for predicting the time-consuming of technical station operations to improve the efficiency and accuracy of technical station operation management.

[0004] In the first aspect, a method for predicting the time-consuming of technical station operations is provided, including the following steps:

[0005] Obtain the position information of locomotives, personnel and vehicles;

[0006] Determine the position of the locomotive within the station yard;

[0007] Taking the fixed production factors within the technical station yard as key markers, determine the key nodes in the operation process;

[0008] Based on the division of operation areas within the station yard, locate the tracks, and dynamically locate the locomotives and personnel;

[0009] Perform real-time calculation on the position relationships of all production factors within the station yard, and predict the time-consuming of disintegration operations and formation operations.

[0010] In the above technical solution, by obtaining the position information of the shunting locomotive, personnel and vehicles; determining the position of the shunting locomotive within the station; using the fixed production elements within the technical station as key markers to determine the key nodes in the operation process; based on the division of the operation areas within the station, positioning the tracks, and dynamically positioning the shunting locomotive and personnel; calculating the real-time positional relationships of all production elements within the station and predicting the time consumption of the disintegration operation and the formation operation; achieving a high-precision prediction of the time consumption of the disintegration operation and the formation operation in the technical station; being able to predict the operation time consumption in real time and giving different results according to different car formation situations, having the remarkable advantages of high timeliness and high promptness, greatly improving the efficiency and accuracy of the operation management in the technical station; providing a strong guarantee for the efficient operation of railway transportation, helping to optimize the allocation of railway transportation resources, reduce the operation cost, and improve the overall transportation service quality.

[0011] In a specific feasible implementation, the Beidou positioning technology is used to obtain the position information of the shunting locomotive, personnel and vehicles.

[0012] In a specific feasible implementation, the precise position of the shunting locomotive within the station is determined through GIS position calculation.

[0013] In a specific feasible implementation, each key marker is uniquely encoded and identified, and its associated database with the operation process and time consumption is established.

[0014] In a specific feasible implementation, the positioning data is processed and optimized by adopting the method of multi-sensor fusion.

[0015] In the second aspect, a technical station operation time consumption prediction system is provided, including:

[0016] A position information acquisition module, which is used to acquire the position information of the shunting locomotive, personnel and vehicles;

[0017] A shunting locomotive position determination module, which is used to determine the position of the shunting locomotive within the station;

[0018] A key node confirmation module, which is used to use the fixed production elements within the technical station as key markers to determine the key nodes in the operation process;

[0019] An operation area division module, which is used to position the tracks based on the division of the operation areas within the station and dynamically position the shunting locomotive and personnel;

[0020] A calculation and prediction module, which is used to calculate the real-time positional relationships of all production elements within the station and predict the time consumption of the disintegration operation and the formation operation.

[0021] In the above technical solution, by obtaining the position information of the shunting locomotive, personnel and vehicles; determining the position of the shunting locomotive within the station; using the fixed production elements within the technical station as key markers to determine the key nodes in the operation process; positioning the tracks based on the division of the operation areas within the station, and dynamically positioning the shunting locomotive and personnel; calculating the real-time positional relationships of all production elements within the station, and predicting the time consumption of the disintegration operation and the formation operation; achieving a high-precision prediction of the time consumption of the disintegration operation and the formation operation in the technical station; being able to predict the operation time consumption in real time, giving different results according to different car formation situations, having the significant advantages of high effectiveness and high timeliness, greatly improving the efficiency and accuracy of the operation management in the technical station; providing a strong guarantee for the efficient operation of railway transportation, helping to optimize the allocation of railway transportation resources, reduce the operation cost, and improve the overall transportation service quality.

[0022] In a specific feasible implementation, the precise position of the shunting locomotive within the station is determined through GIS position calculation.

[0023] In a specific feasible implementation, each key marker is uniquely encoded and identified, and an associated database with the operation process and time consumption is established.

[0024] In a third aspect, an electronic device is provided. The electronic device includes a processor, the processor is coupled with a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor to enable the electronic device to implement any one of the technical station operation time consumption prediction methods.

[0025] In the above technical solution, by obtaining the position information of the shunting locomotive, personnel and vehicles; determining the position of the shunting locomotive within the station; using the fixed production elements within the technical station as key markers to determine the key nodes in the operation process; positioning the tracks based on the division of the operation areas within the station, and dynamically positioning the shunting locomotive and personnel; calculating the real-time positional relationships of all production elements within the station, and predicting the time consumption of the disintegration operation and the formation operation; achieving a high-precision prediction of the time consumption of the disintegration operation and the formation operation in the technical station; being able to predict the operation time consumption in real time, giving different results according to different car formation situations, having the significant advantages of high effectiveness and high timeliness, greatly improving the efficiency and accuracy of the operation management in the technical station; providing a strong guarantee for the efficient operation of railway transportation, helping to optimize the allocation of railway transportation resources, reduce the operation cost, and improve the overall transportation service quality.

[0026] In a fourth aspect, a computer-readable storage medium is provided. At least one computer program is stored in the computer-readable storage medium. The at least one computer program is loaded and executed by a processor to enable the computer-readable storage medium to implement any one of the technical station operation time consumption prediction methods.

[0027] In the above technical solution, by obtaining the position information of the shunting locomotive, personnel and vehicles; determining the position of the shunting locomotive within the station; using the fixed production elements within the technical station as key markers to determine the key nodes in the operation process; positioning the tracks based on the division of the operation areas within the station, and dynamically positioning the shunting locomotive and personnel; calculating the real-time positional relationship of all production elements within the station, and predicting the time consumption of the disintegration operation and the formation operation; achieving high-precision prediction of the time consumption of the disintegration operation and the formation operation in the technical station; being able to predict the operation time consumption in real time, giving different results according to different car formation situations, having the significant advantages of high timeliness and high promptness, greatly improving the efficiency and accuracy of the operation management in the technical station; providing a strong guarantee for the efficient operation of railway transportation, helping to optimize the allocation of railway transportation resources, reduce the operation cost, and improve the overall transportation service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flowchart of the technical station operation time consumption prediction method provided by an embodiment of the present application;

[0029] Figure 2 It is a structural block diagram of the technical station operation time consumption prediction system provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The present application will be further described in detail below with reference to the drawings and embodiments. Through these descriptions, the features and advantages of the present application will become more clearly defined.

[0031] The special term "exemplary" here means "serving as an example, an embodiment or illustrative". Any embodiment described as "exemplary" here does not have to be construed as superior or better than other embodiments. Although various aspects of the embodiments are shown in the drawings, the drawings do not have to be drawn to scale unless otherwise specified.

[0032] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0033] To facilitate the understanding of the technical station operation time-consuming prediction method and system provided by the embodiments of the present application, the application scenario will be described first. The technical station operation time-consuming prediction method and system provided by the embodiments of the present application are used to improve the efficiency and accuracy of technical station operation management. In the operation management of railway technical stations, the accurate prediction of the time-consuming of disintegration operations and formation operations is crucial for improving transportation efficiency. The traditional prediction methods mainly rely on manual vehicle following and manual time recording, and then manual statistical analysis. This manual operation mode has many defects. First, the manual input is large, and a large number of staff need to be arranged to follow the vehicle, record and statistically analyze the data, which not only increases the labor cost, but also is prone to data recording errors or omissions due to human factors. Second, the cycle is long. It often takes a long time from data collection to the final prediction result, which is difficult to meet the requirements of high efficiency and speed of modern railway transportation. Third, the efficiency is low. The speed of manual data processing is limited, and real-time operation time-consuming prediction cannot be achieved. Finally, the accuracy is poor. It is difficult for manual recording and statistics to accurately grasp various complex situations in the operation process, resulting in a large deviation between the prediction result and the actual situation, and the timeliness is poor. It cannot provide effective support for operation decision-making in a timely manner, seriously restricting the improvement of the technical station operation management level and the railway transportation efficiency. Therefore, the embodiments of the present application provide a technical station operation time-consuming prediction method and system to improve the efficiency and accuracy of technical station operation management. The following will be described in detail with specific drawings by way of embodiments.

[0034] Reference Figure 1 and Figure 2 , Figure 1 is the flowchart of the technical station operation time-consuming prediction method provided by the embodiments of the present application; Figure 2 is the structural block diagram of the technical station operation time-consuming prediction system provided by the embodiments of the present application.

[0035] In Figure 1 , the embodiments of the present application provide a technical station operation time-consuming prediction method, including the following steps:

[0036] Obtain the position information of locomotives, personnel and vehicles;

[0037] Determine the position of the locomotive within the station yard;

[0038] Taking the fixed production elements within the technical station yard as key markers, determine the key nodes in the operation process;

[0039] Based on the division of operation areas within the station yard, locate the tracks, and dynamically locate the locomotives and personnel;

[0040] Perform real-time calculation on the positional relationships of all production elements within the station yard, and predict the time-consuming of disintegration operations and formation operations.

[0041] In the above technical solution, the position information of the shunting locomotive, personnel and vehicles is obtained; the position of the shunting locomotive within the station is determined; taking the fixed production elements within the technical station as key markers, the key nodes in the operation process are determined; based on the division of the operation areas within the station, the tracks are positioned, and the shunting locomotive and personnel are dynamically positioned; the positional relationships of all production elements within the station are calculated in real time, and the time consumption of the disintegration operation and the formation operation is predicted; the high-precision prediction of the time consumption of the disintegration operation and the formation operation in the technical station is realized; the operation time consumption can be predicted in real time, and different results are given according to different car formation situations, which has the significant advantages of high effectiveness and high timeliness, greatly improving the efficiency and accuracy of the operation management in the technical station; providing a strong guarantee for the efficient operation of railway transportation, helping to optimize the allocation of railway transportation resources, reduce the operation cost, and improve the overall transportation service quality.

[0042] In a specific feasible implementation, the Beidou positioning technology is used to obtain the position information of the shunting locomotive, personnel and vehicles.

[0043] Specifically, the application requirements of the Beidou positioning technology require the positioning accuracy to reach the centimeter level to ensure the accuracy of the position information of the shunting locomotive, personnel and vehicles, so as to provide a reliable data basis for subsequent position calculation and operation time consumption prediction. In actual applications, high-precision Beidou positioning receiving devices need to be used, combined with advanced signal processing algorithms, to calibrate and correct the positioning data in real time, ensuring that the positioning error is within the allowable range and meeting the strict requirements of the technical station operation for position accuracy.

[0044] Preferably, a vector tracking algorithm based on an improved extended Kalman filter is used to calibrate and correct the positioning data in real time. By coupling the signal characteristics of each channel, strong signal-assisted weak signal tracking is realized; even when the satellite signal is blocked, relatively accurate positioning can still be maintained.

[0045] In a specific feasible implementation, the precise position of the shunting locomotive within the station is determined through GIS position calculation.

[0046] Specifically, using GIS position calculation to determine the position of the shunting locomotive is to construct a geographic information system model based on the detailed geographic information data within the technical station, and match and calculate the Beidou positioning information of the shunting locomotive with this model to determine the precise position relationship of the shunting locomotive relative to each area, track and key marker within the station. And this GIS model needs to have a real-time update function to adapt to the changes or new construction of the station facilities, ensuring the accuracy and timeliness of the position calculation, and thus guaranteeing the reliability of the operation time consumption prediction.

[0047] In a specific feasible implementation, positioning is assisted by means of track circuits; or, positioning is carried out using the data of track circuits and STP equipment.

[0048] In a specific feasible implementation, each key marker is uniquely encoded and identified, and an associated database with the operation process and time consumption is established.

[0049] Specifically, taking fixed production elements such as signal machines and turnouts as key markers, each key marker needs to be uniquely encoded and identified, and an associated database with the operation process and time consumption is established. When approaching or passing these key markers during the operation process, the system can quickly identify and record relevant information, and combined with position calculation and pre-set rules, accurately judge the operation stage and estimate the time consumption, improving the accuracy and real-time performance of operation time consumption prediction.

[0050] Furthermore, based on the accurate positioning of tracks in the operation area of the yard and the high-precision dynamic accurate positioning of locomotives and personnel, it is required to carefully divide the operation area and formulate clear positioning rules and algorithms. For example, according to factors such as the functions, lengths, and positional relationships of different tracks, determine the reference coordinates and accuracy standards for track positioning; for the dynamic positioning of locomotives and personnel, multiple factors such as movement speed, direction, and acceleration need to be comprehensively considered, and a multi-sensor fusion method is used to process and optimize the positioning data to achieve high-precision dynamic accurate positioning, providing an accurate position basis for operation time consumption prediction.

[0051] For the real-time calculation and relative position calculation of the positional relationships of all production elements in the yard, efficient data processing algorithms and computing architectures should be adopted, with fast data update and response capabilities. It can process a large amount of position data in a short time, calculate information such as the distances, angles, and topological relationships between production elements, and predict the time consumption of disintegration operations and formation operations under different train formations based on this information, historical operation data, and preset models. At the same time, this computing system needs to have fault tolerance and error correction capabilities, and can handle data anomalies or equipment failures in a timely manner to ensure the continuity and reliability of operation time consumption prediction.

[0052] Preferably, a distributed computing algorithm and a Flink streaming computing architecture are adopted: multiple computers work together to distribute computing tasks to different nodes to improve computing efficiency; the distributed computing algorithm can complete the calculation and update of positional relationships more quickly; it can process and analyze data streams in real time; the Flink streaming computing architecture can receive and process the position data of production elements in the yard in real time, calculate and update the positional relationships, and output results in real time.

[0053] In a specific feasible implementation, a multi-sensor fusion method is used to process and optimize the positioning data. Specifically, it includes:

[0054] 1. Data preprocessing and verification:

[0055] Preprocess the raw data collected by each sensor, including filtering, denoising, etc., to improve the accuracy and stability of the data.

[0056] Set reasonable thresholds and data ranges to verify the sensor data and eliminate abnormal data.

[0057] 2. Data fusion:

[0058] Adopt algorithms such as weighted average method, Kalman filter, particle filter, etc. to fuse the data of multiple sensors.

[0059] Estimate the state of the system recursively and correct the sensor data to improve the accuracy and robustness of positioning.

[0060] 3. Map matching:

[0061] Match the real-time positioning data with the pre-constructed map to eliminate positioning errors.

[0062] Through map matching technology, the accuracy and stability of positioning can be further improved.

[0063] 4. Residual analysis and fault detection:

[0064] Calculate the residual of the sensor data, that is, the difference between the actual measurement value and the predicted value, to judge whether the sensor data is abnormal.

[0065] Use machine learning algorithms (such as support vector machines, neural networks, etc.) to train the sensor data to identify abnormal patterns in the data and perform fault detection.

[0066] In this embodiment, 1. Improve positioning accuracy: By fusing the data of multiple sensors, the accuracy limitations and deficiencies of a single sensor can be compensated, thereby improving the overall positioning accuracy; 2. Enhance environmental adaptability: The multi-sensor fusion technology can collect information with obvious feature complementarity, covering a wider range of space and time, thus enhancing the system's adaptability to complex environments; 3. Improve system reliability: When a certain sensor fails or the data is abnormal, other sensors can provide redundant information to ensure the continuity and stability of the system; The multi-sensor fusion technology can also bring a certain degree of information redundancy, increasing the reliability and confidence of system decisions. 4. Optimize resource utilization: By comprehensively using the information of multiple sensors, the environment can be perceived and recognized more accurately, thereby optimizing the allocation and utilization of resources. 5. Support positioning in complex scenarios: In areas with more signal obstructions such as urban canyons and high-rise buildings, traditional single-sensor positioning methods are prone to errors. The multi-sensor fusion technology can achieve more accurate positioning by fusing the data of different sensors.

[0067] Specifically, the method for predicting the operation time of a technical station includes:

[0068] First, the Beidou positioning technology is used to obtain the position information of shunting locomotives, personnel, and vehicles. The Beidou positioning system can provide high-precision position data, laying a foundation for subsequent accurate calculations. The precise position of the shunting locomotive within the station is determined through GIS position calculations. With the help of detailed geographical information data within the technical station yard, a geographical information system model is constructed, and the Beidou positioning information of the shunting locomotive is matched and calculated with it to clarify the positional relationship of the shunting locomotive relative to each area, track, and key markers within the station yard. Using fixed production elements such as signal lights and switches within the technical station yard as key markers, they are uniquely encoded and an associated database with the operation process and time consumption is established, facilitating quick identification and judgment of the operation stage during the operation. Based on the division of operation areas within the station yard, accurate track positioning and high-precision dynamic and accurate positioning of shunting locomotives and personnel are achieved. Considering various factors, positioning rules and algorithms are formulated to ensure the accuracy of positioning. Finally, the positional relationships of all production elements within the station yard are calculated in real time, and the relative position calculation method is adopted. Based on the actual train formation situation, the time consumption of the disintegration operation and the formation operation is predicted. Through efficient data processing algorithms and calculation architectures, a large amount of position data is quickly processed, and accurate prediction results are obtained by combining historical operation data and preset models.

[0069] In the above technical solution, compared with the traditional manual prediction method, the present invention adopts advanced technologies such as Beidou positioning and GIS position calculation, combines key production elements and accurate positioning methods, and realizes high-precision prediction of the time consumption of the disintegration operation and the formation operation in the technical station. It can predict the operation time in real time and give different results according to different train formation situations, with the remarkable advantages of high timeliness and high promptness. It greatly improves the efficiency and accuracy of the operation management of the technical station, provides a strong guarantee for the efficient operation of railway transportation, helps to optimize the allocation of railway transportation resources, reduce operating costs, and improve the overall transportation service quality.

[0070] In Figure 2 this application embodiment provides a system for predicting the operation time of a technical station, including:

[0071] A position information acquisition module, configured to acquire the position information of shunting locomotives, personnel, and vehicles;

[0072] A shunting locomotive position determination module, configured to determine the position of the shunting locomotive within the station yard;

[0073] A key node confirmation module, configured to use fixed production elements within the technical station yard as key markers to determine the key nodes in the operation process;

[0074] An operation area division module, configured to perform positioning on the tracks and perform dynamic positioning on shunting locomotives and personnel based on the division of operation areas within the station yard;

[0075] A calculation and prediction module for performing real-time calculation on the positional relationships of all production factors in the yard and predicting the time consumption of the disintegration operation and the marshalling operation.

[0076] In the above technical solution, by obtaining the position information of locomotives, personnel and vehicles; determining the position of the locomotive in the yard; using the fixed production factors in the technical yard as key markers to determine the key nodes in the operation process; based on the division of the operation areas in the yard, positioning the tracks, and dynamically positioning the locomotives and personnel; performing real-time calculation on the positional relationships of all production factors in the yard and predicting the time consumption of the disintegration operation and the marshalling operation; high-precision prediction of the time consumption of the disintegration operation and the marshalling operation in the technical yard is achieved; the time consumption of the operation can be predicted in real time, and different results are given according to different train formation situations, with the significant advantages of high effectiveness and high timeliness, greatly improving the efficiency and accuracy of the operation management in the technical yard; providing a strong guarantee for the efficient operation of railway transportation, helping to optimize the allocation of railway transportation resources, reduce the operation cost, and improve the overall transportation service quality.

[0077] In a specific feasible implementation, the precise position of the locomotive in the yard is determined through GIS position calculation.

[0078] In a specific feasible implementation, each key marker is uniquely encoded and identified, and an associated database of it with the operation process and time consumption is established.

[0079] The embodiment of the present application also provides an electronic device, the electronic device includes a processor, the processor is coupled with a memory, and at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device implements any one of the technical methods for predicting the operation time consumption in the technical yard.

[0080] In the above technical solution, by obtaining the position information of locomotives, personnel and vehicles; determining the position of the locomotive in the yard; using the fixed production factors in the technical yard as key markers to determine the key nodes in the operation process; based on the division of the operation areas in the yard, positioning the tracks, and dynamically positioning the locomotives and personnel; performing real-time calculation on the positional relationships of all production factors in the yard and predicting the time consumption of the disintegration operation and the marshalling operation; high-precision prediction of the time consumption of the disintegration operation and the marshalling operation in the technical yard is achieved; the time consumption of the operation can be predicted in real time, and different results are given according to different train formation situations, with the significant advantages of high effectiveness and high timeliness, greatly improving the efficiency and accuracy of the operation management in the technical yard; providing a strong guarantee for the efficient operation of railway transportation, helping to optimize the allocation of railway transportation resources, reduce the operation cost, and improve the overall transportation service quality.

[0081] The embodiment of the present application also provides a computer-readable storage medium, in which at least one computer program is stored, and the at least one computer program is loaded and executed by a processor to enable the computer-readable storage medium to implement any one of the described technical station operation time-consuming prediction methods.

[0082] In the above technical solution, by obtaining the position information of the locomotive, personnel and vehicles; determining the position of the locomotive in the station; using the fixed production elements in the technical station as key markers to determine the key nodes in the operation process; based on the division of the operation areas in the station, positioning the tracks, and dynamically positioning the locomotive and personnel; calculating the real-time position relationship of all production elements in the station, and predicting the time-consuming of the disintegration operation and the marshalling operation; realizing the high-precision prediction of the time-consuming of the disintegration operation and the marshalling operation in the technical station; being able to predict the operation time-consuming in real time, giving different results according to different train formations, having the significant advantages of high timeliness and high promptness, greatly improving the efficiency and accuracy of the operation management in the technical station; providing a strong guarantee for the efficient operation of railway transportation, helping to optimize the allocation of railway transportation resources, reduce the operation cost, and improve the overall transportation service quality.

[0083] Those skilled in the art of the present application know that the present application can be implemented as a system, a method or a computer program product.

[0084] Therefore, the present disclosure can be specifically implemented in the following forms, that is: it can be completely hardware, can also be completely software (including firmware, resident software, microcode, etc.), and can also be a combination of hardware and software, generally referred to as "circuit", "module" or "system" in this article. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable media contains computer-readable program code.

[0085] Any combination of one or more computer-readable media may be employed. The computer-readable media may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, the computer-readable storage medium may be any tangible medium that contains or stores a program which can be used by or in connection with an instruction execution system, apparatus, or device.

[0086] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application. On this basis, various substitutions and improvements can be made to the present application, and all of these fall within the protection scope of the present application.

Claims

1. A method for predicting the operation time consumption at a technical station, characterized in that, It includes the following steps: Obtain the position information of the shunting locomotive, personnel and vehicles; Determine the position of the shunting locomotive within the station yard; Take the fixed production elements within the technical station yard as key markers to determine the key nodes in the operation process; Based on the division of the operation areas within the station yard, position the tracks, and dynamically position the shunting locomotive and personnel; Perform real-time calculation on the positional relationships of all production elements within the station yard, and predict the time consumption of the disintegration operation and the marshalling operation.

2. The technical station operation time consumption prediction method according to claim 1, wherein Utilize the Beidou positioning technology to obtain the position information of the shunting locomotive, personnel and vehicles.

3. The method for predicting the operation time consumption of a technical station according to claim 2, characterized in that, Determine the precise position of the shunting locomotive within the station yard through GIS position calculation.

4. The technical station operation time-consuming prediction method according to claim 3, characterized in that Carry out unique coding identification for each key marker, and establish an associated database between it and the operation process and time consumption.

5. The method for predicting the operation time consumption of a technical station according to claim 4, wherein, Adopt the multi-sensor fusion method to process and optimize the positioning data.

6. A technical station operation time-consuming prediction system, characterized in that, It includes: A position information acquisition module for obtaining the position information of the shunting locomotive, personnel and vehicles; A shunting locomotive position determination module for determining the position of the shunting locomotive within the station yard; A key node confirmation module for taking the fixed production elements within the technical station yard as key markers to determine the key nodes in the operation process; An operation area division module for positioning the tracks based on the division of the operation areas within the station yard, and dynamically positioning the shunting locomotive and personnel; A calculation and prediction module for performing real-time calculation on the positional relationships of all production elements within the station yard, and predicting the time consumption of the disintegration operation and the marshalling operation.

7. The technical station operation time-consuming prediction system according to claim 6, wherein Determine the precise position of the shunting locomotive within the station yard through GIS position calculation.

8. The technical station operation time-consuming prediction system according to claim 7, characterized in that, Carry out unique coding identification for each key marker, and establish an associated database between it and the operation process and time consumption.

9. An electronic device, characterized in that, The electronic device includes a processor, the processor is coupled with a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor so that the electronic device implements the technical station operation time consumption prediction method according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that, At least one computer program is stored in the computer-readable storage medium. The at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements the technical station operation time consumption prediction method according to any one of claims 1 to 5.

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