Calculation method and device for freight railway work quality evaluation score

Abstract

The invention discloses a freight railway work quality evaluation score calculation method and device, and belongs to the technical field of railway freight analysis, and the method comprises the steps: determining an evaluation index, and calculating an index score of the evaluation index and an evaluation score of work quality based on plan data, completion data and proportion data of the evaluation index. The index score of a single evaluation index is obtained based on the plan data, the completion data and the proportion data of each evaluation index, so that the problem of data integration and processing of each evaluation index is avoided, the accuracy and the consistency of subsequent work quality scores are ensured, and the working efficiency is improved. And more accurate and comprehensive support is provided for freight daily shift plan work quality evaluation, so that the daily shift plan can be adjusted and optimized in time. The method can promote the application and development of the modern information technology in the truck statistical work, and provides a basis for daily transportation production command, macroscopic decision and the like.

Description

Technical Field

[0001] The present application belongs to the technical field of railway freight analysis, and specifically relates to a calculation method, device, electronic device and readable storage medium for freight railway work quality evaluation scores. Background Art

[0002] The quality evaluation of railway freight daily shift planning involves many aspects, including the complexity of railway freight management, transportation efficiency requirements, safety assurance, service quality improvement, and technical background support. These aspects are interrelated and mutually reinforcing, and together constitute the basis for the quality evaluation of railway freight daily shift planning. Since the evaluation of work quality involves multiple aspects and the data sources involved in the evaluation are diverse, the data format standards are not unified. The existing data for the quality evaluation score of freight daily shift planning has always been manually calculated by station personnel after querying the statistical system for various indicator information or collecting information by telephone through on-site telephone. The integration and verification of data are difficult, resulting in difficulty in obtaining comprehensive and accurate data support when evaluating the quality of freight daily shift work.

[0003] Application Contents

[0004] The purpose of this application is to provide a calculation method for freight railway work quality evaluation scores to solve the problem of integrating and processing multiple evaluation index data proposed in the above background technology.

[0005] To achieve the above objectives, the present application provides the following technical solution: a method for calculating the work quality evaluation score of freight railways, comprising:

[0006] Determine multiple evaluation indicators of work quality;

[0007] Obtain the planned data, completion data and percentage data for each evaluation indicator;

[0008] The indicator score of the evaluation indicator is calculated based on the planned data, completion data and proportion data of a single evaluation indicator, and the sum of the indicator scores of all evaluation indicators is used as the evaluation score of work quality.

[0009] Furthermore, the proportion data of the evaluation indicators are obtained by traversing the indicator weight proportion table, and the completion data of the evaluation indicators are obtained through the indicator table associated with the statistical basic table.

[0010] Furthermore, the evaluation indicators include transport volume, number of trains accessed and delivered at each boundary port, intermediate time, stop time, daily locomotive volume, locomotive turnover time, number of unloading within the pipeline and large logistics shipment volume.

[0011] Furthermore, the indicator score of a single evaluation indicator is calculated based on the planned data, completed data, and proportion data, including:

[0012] Based on the formula X i =D i / P i *W i Calculate the score of a single evaluation indicator, where i represents the number of the i-th evaluation indicator, X i represents the index score of the i-th evaluation index, D i Indicates the completion data of the i-th evaluation indicator, P i represents the planned data of the i-th evaluation index, W i Represents the proportion of the i-th evaluation indicator.

[0013] Furthermore, the planned data for obtaining each evaluation indicator includes:

[0014] Get skylight day data;

[0015] Determine whether the current date is a skylight day. If the current date is a skylight day, use the skylight day plan data of each evaluation indicator as the plan data obtained for each evaluation indicator. If the current date is not a skylight day, use the non-skylight day plan data of each evaluation indicator as the plan data obtained for each evaluation indicator.

[0016] Furthermore, the planned data, completion data, and percentage data for each evaluation indicator are obtained, including:

[0017] Determine the evaluation time point for work quality, and obtain the planned data, completion data, and percentage data for each evaluation indicator within the evaluation time point.

[0018] Furthermore, the planned data, completed data, and percentage data of a single evaluation indicator are matched through the non-repeated code of the primary key field of the evaluation indicator.

[0019] The present application also discloses a calculation device for freight railway work quality evaluation scores, comprising:

[0020] a determination module configured to determine a plurality of evaluation indicators of work quality;

[0021] An acquisition module is configured to obtain planned data, completed data, and percentage data for each evaluation indicator;

[0022] The calculation module is configured to calculate the indicator score of the evaluation indicator based on the planned data, completion data and proportion data of a single evaluation indicator, and to add up the indicator scores of all evaluation indicators as the evaluation score of work quality.

[0023] The present application also discloses an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the above method when executing the computer program.

[0024] The present application also discloses a computer-readable storage medium, which includes a stored computer program. When the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the above method.

[0025] Compared with the prior art, the present invention has the following advantages:

[0026] This application sets multiple evaluation indicators, and obtains the planned data, completed data and proportion data of each evaluation indicator respectively, and calculates the indicator score of a single evaluation indicator based on the planned data, completed data and proportion data of a single evaluation indicator. Finally, the indicator scores of multiple evaluation indicators are summarized to realize the evaluation of work quality. By independently processing and calculating the data of the evaluation indicators, the problem of integrating and verifying the data of each evaluation indicator is avoided, and the accuracy and consistency of the subsequent work quality scores are guaranteed, which provides more accurate and comprehensive support for the quality evaluation of freight day shift planning, so as to timely adjust and optimize the day shift plan, promote the application and development of modern information technology in truck statistics, and provide a basis for daily transportation production command and macro decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A flow chart of the method of this application;

[0028] Figure 2 A schematic diagram of an embodiment of the method of the present application;

[0029] Figure 3 Schematic diagram of the evaluation device for this application. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0031] A calculation method for freight railway work quality evaluation score (hereinafter referred to as calculation method) is based on Figure 1 ,include:

[0032] S100: Determine multiple evaluation indicators of work quality;

[0033] S200: Obtaining planned data, completed data, and percentage data for each evaluation indicator;

[0034] S300: The indicator score of the evaluation indicator is calculated based on the planned data, completion data and proportion data of a single evaluation indicator, and the sum of the indicator scores of all evaluation indicators is used as the evaluation score of the work quality.

[0035] Specifically, refer to Figure 2 , the above method steps are explained in conjunction with the figure. In step S100, the evaluation indicators of the above work quality may include transportation volume, number of trains connected and delivered at each boundary, intermediate time (i.e., the average stay time of transfer vehicles at the station), stop time (i.e., the average stay time of freight operation vehicles for each operation), daily locomotive volume, locomotive turnover time, number of unloading vehicles within the pipeline and large logistics shipment volume. By setting multiple evaluation indicators, the completeness and accuracy of the evaluation of the quality of daily work can be improved.

[0036] In some embodiments, in step S200, the planned data, completed data, and percentage data of each evaluation indicator may be filtered based on a time point, and the planned data, completed data, and percentage data within a predetermined time period are used as the work quality evaluation data. Correspondingly, obtaining the planned data, completed data, and percentage data of each evaluation indicator includes:

[0037] Determine the evaluation time point for work quality, and obtain the planned data, completion data, and percentage data for each evaluation indicator within the evaluation time point.

[0038] By determining the evaluation time point, the planned data, completed data and proportion data of the evaluation indicators can be screened, that is, the planned data, completed data and proportion data within the evaluation time point can be extracted from the statistical information collection system based on the evaluation time point to eliminate redundant information and improve the accuracy of the evaluation.

[0039] In some embodiments, considering maintenance and construction needs, the planned data of evaluation indicators during the construction and maintenance period of the railway system differs significantly from the planned data of evaluation indicators during the non-maintenance and construction period. To ensure the accuracy of work quality evaluation, it is necessary to distinguish the planned data of evaluation indicators based on whether the evaluation time is a day with a window (i.e., whether it is a construction or maintenance day). Correspondingly, the above-mentioned acquisition of the planned data of each evaluation indicator includes:

[0040] Get skylight day data;

[0041] Determine whether the current date is a skylight day. If the current date is a skylight day, use the skylight day plan data of each evaluation indicator as the plan data obtained for each evaluation indicator. If the current date is not a skylight day, use the non-skylight day plan data of each evaluation indicator as the plan data obtained for each evaluation indicator.

[0042] Specifically, the above-mentioned skylight day data is also obtained by traversing the database of the statistical information collection system, and correspondingly extracting the planned data of the evaluation indicators on skylight days and non-skylight days.

[0043] In some embodiments, the planned data, completed data and proportion data of the evaluation indicators are all obtained through the statistical information collection system. Specifically, the database of the statistical information collection system stores a variety of tables related to the evaluation indicators, such as the evaluation indicator weight proportion basic table, the boundary access and handover basic table, the truck stop time table and the locomotive module basic data table. The search for the planned data, completed data and proportion data of the evaluation indicators is achieved by traversing each data table. For example, the proportion data of the evaluation indicators can be obtained through the indicator weight proportion basic table, and the completion data of each evaluation indicator can be obtained based on the indicator table respectively associated with each statistical basic table. At the same time, based on the non-repetitive coding of the primary key field of the evaluation indicator, the matching of the planned data, completed data and proportion data of the evaluation indicators can be achieved. For example, in the planned data, completed data and proportion data of the evaluation indicators, the completion data and proportion data of the evaluation indicators are matched. In the process of acquiring data and proportion data, first traverse the window day plan data of the statistical information collection system to confirm whether the day is a window day. If it is a window day, take the window day plan data of each indicator on that day, otherwise take the non-window day plan data of each indicator on that day as the plan value, and at the same time obtain the non-repeated code of the primary key field of the indicator table, then traverse the indicator weight proportion data basic table to obtain the proportion data of the evaluation indicator, and based on the basic tables such as the second freight basic table, the boundary access and handover basic table, the truck stop time table, the locomotive module basic data table, etc., obtain the completion data of the evaluation indicator, finally, through the non-repeated coding of the evaluation indicator, the plan data, proportion data and completion data of the evaluation indicator are associated, and based on the plan data, proportion data and completion data of the matching evaluation indicator, the subsequent indicator scores of each evaluation indicator are calculated.

[0044] In some embodiments, in step S300, the indicator score of a single evaluation indicator is calculated based on the planned data, completed data, and percentage data of the evaluation indicator, including:

[0045] Based on the formula X i =D i / P i *W i Calculate the score of a single evaluation index, where i represents the evaluation index number, X i represents the index score of the i-th evaluation index, D i Indicates the completion data of the i-th evaluation indicator, P i represents the planned data of the i-th evaluation index, W i Represents the proportion of the i-th evaluation indicator.

[0046] Another embodiment of the present application provides a device for calculating a freight railway work quality evaluation score, comprising:

[0047] a determination module 400 configured to determine a plurality of evaluation indicators of work quality;

[0048] An acquisition module 401 is configured to acquire planned data, completed data, and percentage data for each evaluation indicator;

[0049] The calculation module 402 is configured to calculate the indicator score of a single evaluation indicator based on the planned data, completed data and proportion data of the evaluation indicator, and to sum the indicator scores of all evaluation indicators as the evaluation score of the work quality.

[0050] Another embodiment of the present application provides an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and runnable on the processor, such as a data storage program. When the processor executes the computer program, the method for calculating the evaluation score of the above-mentioned work quality is implemented. Alternatively, when the processor executes the computer program, the functions of each module / unit in the embodiment of the above-mentioned computing device are implemented. Exemplarily, the computer program can be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present application. The one or more modules / units can be a series of computer program instruction segments that can perform specific functions, and the instruction segments are used to describe the execution process of the computer program in the data storage / reading device.

[0051] The data storage / reading device may be a computing device such as a desktop computer, laptop, PDA, or cloud server. The data storage / reading device may include, but is not limited to, a processor and memory. For example, the data storage / reading device may also include input / output devices, network access devices, buses, etc.

[0052] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the data storage / reading device, and connects various parts of the entire data storage / reading device using various interfaces and lines.

[0053] The memory can be used to store the computer programs and / or modules, and the processor realizes the various functions of the data storage / reading device by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a disk, a memory, a plug-in disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0054] Wherein, if the module / unit integrated in the data storage / reading device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0055] Although the embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for calculating the work quality evaluation score of freight railways, characterized in that: include: Determine multiple evaluation indicators of work quality; Obtain the planned data, completion data and percentage data for each evaluation indicator; The indicator score of the evaluation indicator is calculated based on the planned data, completion data and proportion data of a single evaluation indicator, and the sum of the indicator scores of all evaluation indicators is used as the evaluation score of work quality.

2. The method for calculating the work quality evaluation score of freight railway according to claim 1, characterized in that: The proportion data of the evaluation indicators are obtained by traversing the indicator weight proportion table, and the completion data of the evaluation indicators are obtained through the indicator table associated with the statistical basic table.

3. The method for calculating the freight railway work quality evaluation score according to claim 1, characterized in that: The evaluation indicators include transport volume, number of trains accessed and delivered at each boundary point, intermediate time, stop time, daily locomotive volume, locomotive turnover time, number of unloading within the pipeline and large logistics shipment volume.

4. The method for calculating the freight railway work quality evaluation score according to claim 1, characterized in that: The indicator scores of a single evaluation indicator are calculated based on the planned data, completion data, and proportion data, including: Based on the formula X i =D i / P i *W i Calculate the index score of a single evaluation index, where the i-th one represents the evaluation index number, X i represents the index score of the i-th evaluation index, D i Indicates the completion data of the i-th evaluation indicator, P i represents the planned data of the i-th evaluation index, W i Represents the proportion of the i-th evaluation indicator.

5. The method for calculating the freight railway work quality evaluation score according to claim 1, characterized in that: The planned data for obtaining each evaluation indicator includes: Get skylight day data; Determine whether the current date is a skylight day. If the current date is a skylight day, use the skylight day plan data of each evaluation indicator as the plan data obtained for each evaluation indicator. If the current date is not a skylight day, use the non-skylight day plan data of each evaluation indicator as the plan data obtained for each evaluation indicator.

6. The method for calculating the work quality evaluation score of freight railway according to claim 1, characterized in that: Obtaining the planned data, completion data, and percentage data for each evaluation indicator includes: Determine the evaluation time point for work quality, and obtain the planned data, completion data, and percentage data for each evaluation indicator within the evaluation time point.

7. The method for calculating the work quality evaluation score of freight railway according to claim 1, characterized in that: The planned data, completion data, and percentage data of a single evaluation indicator are matched through the non-duplicate codes of the primary key field of the evaluation indicator.

8. A device for calculating the work quality evaluation score of freight railways, characterized in that: include: a determination module configured to determine a plurality of evaluation indicators of work quality; An acquisition module is configured to obtain planned data, completed data, and percentage data for each evaluation indicator; The calculation module is configured to calculate the indicator score of the evaluation indicator based on the planned data, completion data and proportion data of a single evaluation indicator, and to add up the indicator scores of all evaluation indicators as the evaluation score of work quality.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the method according to claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to claims 1 to 7.

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