Rail transit intelligent operation and maintenance practical training system based on cloud computing

Abstract

The invention discloses a rail transit intelligent operation and maintenance practical training system based on cloud computing, which relates to the technical field of operation and maintenance practical training teaching and comprises a practical training integration unit, a data acquisition unit, a practical training analysis unit, a priority analysis unit, a task issuing unit and a period updating unit. According to the invention, the training performance index is utilized to accurately quantify the ability weakness of the trainee, the qualified training items and the unqualified training items are divided in combination with the threshold, and the computing resources are focused on the unqualified items, so that the cloud computing load is reduced; secondly, through dynamic sorting of practical training project priority indexes, it is ensured that weak practical training projects with high fault risk and high cost are preferentially trained, and the practical training resource allocation accuracy is improved; and meanwhile, the maximum release times of a single training item are forcibly constrained through a preset release times threshold value, and each training item in the unqualified set is trained at least once, so that the training trainees are prevented from being overtrained on a single item, and other weak items are prevented from being omitted.

Description

Technical Field

[0001] The present invention relates to the technical field of operation and maintenance training teaching, and in particular to a rail transit intelligent operation and maintenance training system based on cloud computing. Background Art

[0002] Rail transit refers to a type of vehicle or transportation system in which operating vehicles must travel on specific tracks. As a crucial component of the modern integrated transportation system, rail transit encompasses three main types: traditional railways, urban rail transit, and intercity rail transit. Its operation and maintenance involve complex processes such as equipment management, fault diagnosis, and emergency response. The continued advancement of infrastructure construction and the expansion of the railway trunk network have placed tremendous pressure on rail transit operations and maintenance. Therefore, providing trainees with operational and maintenance project training at the Rail Transit Operation and Maintenance Training Base can effectively alleviate this pressure.

[0003] However, in the traditional rail transit operation and maintenance training process, the training project tasks of each trainee are often uniformly issued by the training teachers based on past training teaching experience. They are not targeted and can easily lead to a disconnect between the individual differences of trainees and the training needs. Not only does it cause some trainees to repeatedly invest training resources in qualified training projects that they have already mastered, but it also delays the opportunity for intensive training due to the lack of precise positioning of weak training projects.

[0004] In view of the above technical defects, corresponding technical solutions are now proposed. Summary of the Invention

[0005] The purpose of the present invention is to solve the problem that in the traditional rail transit operation and maintenance training process, the training project tasks of each trainee are often uniformly issued by the training teacher based on past training teaching experience, which is not targeted and easily leads to the disconnection between individual differences of trainees and training needs. Not only does it cause some trainees to repeatedly invest training resources in qualified training projects that they have already mastered, but also the problem of delaying intensive training opportunities due to lack of precise positioning of weak training projects.

[0006] In order to achieve the above-mentioned object, the present invention adopts the following technical solution: a cloud computing-based rail transit intelligent operation and maintenance training system, comprising: a training integration unit, a data acquisition unit, a training analysis unit, a priority analysis unit, a task release unit, and a periodic update unit;

[0007] The training integration unit is used to obtain the content of operation and maintenance training projects through the rail transit operation and maintenance training project library, and to number and integrate the training projects into training sets, while dividing the entire training duration into several training cycles;

[0008] The data acquisition unit is used to collect information data generated by each trainee during the training process at the rail transit operation and maintenance training base, as well as actual rail transit operation and maintenance information data, and integrate them into a training data set;

[0009] The training analysis unit is used to obtain the training data set and perform analysis and calculation to obtain the training performance index of the trainees in each training project. At the same time, the training projects in the training set are divided into qualified training projects and unqualified training projects, and the unqualified training projects are integrated into an unqualified project set.

[0010] The optimization analysis unit is used to obtain the data of unqualified training projects and analyze and calculate them in combination with the training performance index to obtain the project priority index of the trainees in each unqualified training project. The project priority index of each unqualified training project is sorted according to the value and sent to the task release unit;

[0011] The task issuing unit is used to obtain the data of unqualified training projects and analyze and calculate them in combination with the training performance index, taking into account the time and cost costs, to obtain the training effect index of the trainees after the intensive training, which is used to reflect the training effect of the trainees in completing the unqualified training projects after training, and obtain the ranking results of the unqualified training projects, and issue the unqualified training project tasks to the trainees;

[0012] The cycle update unit is used to re-analyze and calculate the training performance index of each trainee in each training project in the training set after the end of each training cycle, and to update the qualified training projects and unqualified training projects. At the same time, the updated unqualified training projects are integrated to generate a new unqualified project set for training in the next training cycle.

[0013] Furthermore, the entire training period includes an introductory training period T1, a basic training period T2 and an intensive training period T3, and T1>T2>T3.

[0014] Furthermore, the information data in the training data set includes actual duration data of the operation and maintenance operations of the training projects, accuracy data of the operation steps in the training projects, number of times the unqualified training projects were reworked for the second time within one year during the actual rail transit operation and maintenance process, and cost data of completing the operation and maintenance operations of the unqualified training projects.

[0015] Furthermore, the calculation process of the training performance index of the training project is as follows:

[0016] S11. Obtaining actual duration data of operation and maintenance operations in the training project and accuracy data of operation steps in the training project for analysis and calculation;

[0017] S12. Calculate the training performance index TE of the trainee completing the operation and maintenance operation of the i-th training project according to the following formula i : Among them, time ie is the preset standard time to complete the operation and maintenance of the i-th training project, time i is the actual time to complete the operation and maintenance of the i-th training project, N i is the total number of steps to complete the operation and maintenance of the i-th training project, C ik is the correct rate of the trainees in the kth operation step during the operation and maintenance of the i-th training project, ω ik It is the weight coefficient of the trainee in the kth operation step during the operation and maintenance of the i-th training project. It is the training performance index of the training project, which is used to reflect the performance of the trainee in the operation and maintenance process of the training project.

[0018] Furthermore, the division process of the practical training projects in the training center is as follows:

[0019] S21. Obtain the training performance index TE of the trainee completing the i-th training project operation i and the preset training performance threshold TE ie ;

[0020] S22, when TE i <TE ie , it means that the trainee's training performance in completing the operation and maintenance of the i-th training project is unsatisfactory. i ≥TE ie , it means that the trainees have passed the training in completing the operation and maintenance operation of the i-th training project, and then the training projects in the training set are divided into qualified training projects and unqualified training projects, and the unqualified training projects are integrated into an unqualified project set.

[0021] Furthermore, the calculation process of the project priority index of unqualified practical training projects is as follows:

[0022] S31. Obtain data on the number of times unqualified training items require secondary rework and maintenance within one year during the actual rail transit operation and maintenance process, as well as data on the cost of completing the operation and maintenance operations for unqualified training items, and perform analysis and calculation based on the training performance index of the unqualified training items;

[0023] S32. Calculate the project priority index P according to the following formula: Among them, H i H is the number of times the i-th unqualified training item is reworked and maintained for the second time during the actual rail transit operation and maintenance process within one year,all M is the total number of operation and maintenance operations of the training project in the actual rail transit operation and maintenance process within one year, i M is the standard cost of completing the operation and maintenance of the i-th unqualified training project. all To complete the standard cost of all practical training project operation and maintenance operations, TE ie The training performance threshold for the trainees to complete the operation and maintenance of the i-th training project is preset, TE i,f is the training performance index of the trainee completing the operation and maintenance operation of the i-th unqualified training project, α is the preset secondary rework weight coefficient, β is the preset cost expenditure weight coefficient, and the project priority index of the unqualified training project is used to prioritize the training of unqualified training projects in the unqualified project set.

[0024] Furthermore, the calculation process of the project training effect index of unqualified practical training projects is as follows:

[0025] S41. Obtaining cost data and actual duration data of operation and maintenance operations of unqualified practical training items during actual rail transit operation and maintenance, and analyzing and calculating the training performance index of the unqualified practical training items;

[0026] S42. Calculate the project training effect index U of the unqualified practical training project according to the following formula:

[0027] Among them, G is the total number of times the trainees have trained on the i-th unqualified training item, TE ij The training performance index of the jth trainee who completed the i-th training project operation and maintenance operation, TE ie The training performance threshold for the trainees to complete the operation and maintenance of the i-th training project is set, time ij time is the actual time to complete the operation and maintenance of the i-th training project for the jth time, ie M is the preset standard time to complete the operation and maintenance of the i-th training project, ij The actual cost of the jth trainee completing the i-th unqualified training project operation and maintenance, M i The standard cost of completing the operation and maintenance of the i-th unqualified training project;

[0028] S43, obtaining the training effect index U and the preset training effect threshold U of the trainee who completed the i-th training project after intensive training e , when U e , it means that the training effect of the trainees is poor.

[0029] ​Furthermore, when the task issuing unit issues tasks to trainees, each unqualified training project in the unqualified project set is sent to the trainees, and the number of times each unqualified training project is issued to the trainees within a training cycle is less than a preset release number threshold.

[0030] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0031] 1. By introducing the training performance index, we can accurately quantify the ability shortcomings of each trainee and use it to distinguish qualified and unqualified training projects. Cloud computing resources can be concentrated on unqualified projects to avoid ineffective training, thereby effectively reducing the cloud computing load.

[0032] 2. Use the training project priority index to dynamically sort projects so that high-risk and high-cost projects are trained first; and use the release threshold mechanism to force a limit on the number of times a single project is trained to ensure that all unqualified projects are trained at least once, preventing resource imbalance and training omissions.

[0033] 3. At the end of each training cycle, the system re-evaluates each trainee’s training performance and promptly updates the pass and fail status of the training items to ensure that the training content reflects the trainee’s current ability shortcomings in real time, thereby continuously improving the training effect and overall efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 Shown is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0036] Example

[0037] like Figure 1As shown in the figure, the cloud computing-based rail transit intelligent operation and maintenance training system first uses the training integration unit to obtain the operation and maintenance training project content from the rail transit operation and maintenance training project library (including equipment maintenance, fault diagnosis, emergency response, etc.), and then number the training projects and integrate them into training sets. At the same time, the entire training duration is divided into an introductory training cycle, a basic training cycle, and an intensive training cycle, with the basic training cycle lasting the longest, the intensive training cycle lasting the second longest, and the introductory training cycle lasting the shortest. The data collection unit also collects data on the actual duration of the operation and maintenance operations of the training projects, the accuracy of the operation steps in the training projects, the number of rework operations for unqualified training projects within a year during the actual rail transit operation and maintenance process, and the cost of completing the operation and maintenance operations of unqualified training projects, and integrates them into a training data set.

[0038] Then, the training analysis unit obtains the data in the training data set and performs analysis and calculation to obtain the training performance index of the trainees in each training project. At the same time, the training projects in the training set are divided into qualified training projects and unqualified training projects, and the unqualified training projects are integrated into an unqualified project set;

[0039] The calculation process of the training performance index of the training project is as follows:

[0040] S11. Obtaining actual duration data of operation and maintenance operations in the training project and accuracy data of operation steps in the training project for analysis and calculation;

[0041] S12. Calculate the training performance index TE of the trainee completing the operation and maintenance operation of the i-th training project according to the following formula i : Among them, time ie is the preset standard time to complete the operation and maintenance of the i-th training project, time i is the actual time to complete the operation and maintenance of the i-th training project, N i is the total number of steps to complete the operation and maintenance of the i-th training project, C ik is the correct rate of the trainees in the kth operation step during the operation and maintenance of the i-th training project, ω ik is the weight coefficient of the kth operation step during the operation and maintenance of the i-th training project by the trainee, and The training performance index of the training project is used to reflect the performance of trainees during the operation and maintenance of the training project. The larger the value of the training performance index, the better the performance of the trainees during the operation and maintenance of the training project. Conversely, the lower the value of the training performance index, the worse the performance of the trainees during the operation and maintenance of the training project.

[0042] The division process of the practical training projects in the practical training center is as follows:

[0043] S21. Obtain the training performance index TE of the trainee completing the i-th training project operation i and the preset training performance threshold TE ie ;

[0044] S22, when TE i <TE ie , it means that the trainee's training performance in completing the operation and maintenance of the i-th training project is unsatisfactory. i ≥TE ie , it means that the trainees have passed the training in completing the operation and maintenance of the i-th training project, and then the training projects in the training set are divided into qualified training projects and unqualified training projects, and the unqualified training projects are integrated into an unqualified project set.

[0045] Afterwards, the optimization analysis unit obtains the data of unqualified training projects in the unqualified project set and analyzes and calculates it in combination with the training performance index to obtain the project priority index of each unqualified training project of the trainees. The project priority index of each unqualified training project is sorted according to the value and sent to the task release unit;

[0046] The calculation process of the project priority index of unqualified practical training projects is as follows:

[0047] S31. Obtain data on the number of times unqualified training items require secondary rework and maintenance within one year during the actual rail transit operation and maintenance process, as well as data on the cost of completing the operation and maintenance operations for unqualified training items, and perform analysis and calculation based on the training performance index of the unqualified training items;

[0048] S32. Calculate the project priority index P according to the following formula: Among them, H i H is the number of times the i-th unqualified training item is reworked and maintained for the second time during the actual rail transit operation and maintenance process within one year, all M is the total number of operation and maintenance operations of the training project in the actual rail transit operation and maintenance process within one year, i M is the standard cost of completing the operation and maintenance of the i-th unqualified training project. all To complete the standard cost of all practical training project operation and maintenance operations, TE ie The training performance threshold for the trainees to complete the operation and maintenance of the i-th training project is preset, TE i,fis the training performance index of the trainee completing the operation and maintenance operation of the i-th unqualified training project, α is the preset secondary rework weight coefficient, β is the preset cost expenditure weight coefficient, and the project priority index of the unqualified training project is used to prioritize the unqualified training projects in the unqualified project set. The larger the project priority index, the higher the priority of the unqualified training project, and the trainee needs to be given priority for training. Conversely, the unqualified training project has a low priority and does not need to be given priority to the trainee for training.

[0049] Finally, the task issuing unit obtains the data of unqualified training projects in the unqualified project set and analyzes and calculates it in combination with the training performance index to obtain the training effect index of the trainees after the intensive training, obtains the ranking results of the unqualified training projects, and issues unqualified training project tasks to the trainees;

[0050] The calculation process of the project training effect index of unqualified practical training projects is as follows:

[0051] S41. Obtaining cost data and actual duration data of operation and maintenance operations of unqualified practical training items during actual rail transit operation and maintenance, and analyzing and calculating the training performance index of the unqualified practical training items;

[0052] S42. Calculate the project training effect index U of the unqualified practical training project according to the following formula:

[0053] Among them, G is the total number of times the trainees have trained on the i-th unqualified training item, TE ij The training performance index of the jth trainee who completed the i-th training project operation and maintenance operation, TE ie The training performance threshold for the trainees to complete the operation and maintenance of the i-th training project is set, time ij time is the actual time to complete the operation and maintenance of the i-th training project for the jth time, ie M is the preset standard time to complete the operation and maintenance of the i-th training project, ij The actual cost of the jth trainee completing the i-th unqualified training project operation and maintenance, M i The standard cost of completing the operation and maintenance of the i-th unqualified training project;

[0054] S43, obtaining the training effect index U and the preset training effect threshold U of the trainee who completed the i-th training project after intensive training e , when U e ​, it means that the training effect of the trainees is poor, and the unqualified training project will no longer be ranked in priority training. On the contrary, it means that the training effect of the trainees is good, and the priority training can continue to be ranked, which is used to reduce the training projects with poor training effects and allocate more resources to the training projects with obvious training effects, greatly improving the efficiency of training.

[0055] It should be further explained that each unqualified training project in the unqualified project set is sent to the trainee, and the number of times each unqualified training project is released to the trainee within a training cycle is less than the preset release threshold. It should be further explained that when the number of releases of each unqualified training project in the unqualified project set reaches the preset release threshold and the current training cycle has not yet ended, the qualified training projects can be consolidated according to the training performance index of the trainee completing the operation and maintenance operation of the i-th training project in ascending order. Furthermore, at the end of each training cycle, the training performance index of each trainee in each training project in the training set is re-analyzed and calculated by the cycle update unit, and the qualified and unqualified training projects are updated. At the same time, the updated unqualified training projects are integrated to generate a new unqualified project set, which is used for training in the next training cycle.

[0056] The present invention uses the training performance index to accurately quantify the shortcomings of trainees' abilities, combines the threshold to divide qualified training projects into unqualified training projects, focuses computing resources on unqualified projects, and reduces the cloud computing load; secondly, through the dynamic sorting of training project priority index, it ensures that weak training projects with high failure risks and high costs are trained first, thereby improving the accuracy of training resource allocation; at the same time, through the preset release number threshold, it enforces the maximum release number of a single training project and ensures that each training project in the unqualified set is trained at least once, which prevents trainees from over-training on a single project and avoids other weak projects from being missed; in addition, at the end of each training cycle, the training performance index of each trainee's training project in the training set is re-analyzed and calculated, and the qualified training projects and unqualified training projects are updated, so that the unqualified project set always reflects the latest training ability shortcomings; finally, the above mechanisms work together to effectively improve the training efficiency of each trainee.

[0057] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technical personnel in this field for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0058] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by those skilled in the art according to actual conditions.

[0059] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. The cloud computing-based rail transit intelligent operation and maintenance training system is characterized by: include: Training integration unit, data collection unit, training analysis unit, priority analysis unit, task release unit and periodic update unit; The training integration unit is used to obtain the content of operation and maintenance training projects through the rail transit operation and maintenance training project library, and to number and integrate the training projects into training sets, while dividing the entire training duration into several training cycles; The data acquisition unit is used to collect information data generated by each trainee during the training process at the rail transit operation and maintenance training base, as well as actual rail transit operation and maintenance information data, and integrate them into a training data set; The training analysis unit is used to obtain the training data set and perform analysis and calculation to obtain the training performance index of the trainees in each training project. At the same time, the training projects in the training set are divided into qualified training projects and unqualified training projects, and the unqualified training projects are integrated into an unqualified project set. The optimization analysis unit is used to obtain the data of unqualified training projects and analyze and calculate them in combination with the training performance index to obtain the project priority index of the trainees in each unqualified training project. The project priority index of each unqualified training project is sorted according to the value and sent to the task release unit; The task issuing unit is used to obtain the data of unqualified training projects and analyze and calculate them in combination with the training performance index, taking into account the time and cost costs, to obtain the training effect index of the trainees after the intensive training, which is used to reflect the training effect of the trainees in completing the unqualified training projects after training, and obtain the ranking results of the unqualified training projects, and issue the unqualified training project tasks to the trainees; The cycle update unit is used to re-analyze and calculate the training performance index of each trainee in each training project in the training set after the end of each training cycle, and to update the qualified training projects and unqualified training projects. At the same time, the updated unqualified training projects are integrated to generate a new unqualified project set for training in the next training cycle.

2. The cloud computing-based rail transit intelligent operation and maintenance training system according to claim 1 is characterized in that: The entire training period includes an introductory training period T1, a basic training period T2 and an intensive training period T3, and T1>T2>T3.

3. The cloud computing-based rail transit intelligent operation and maintenance training system according to claim 1 is characterized in that: The information data in the training data set includes actual duration data of the operation and maintenance operations of the training projects, accuracy data of the operation steps in the training projects, number of times the unqualified training projects were reworked for the second time within one year during the actual rail transit operation and maintenance process, and cost data of completing the operation and maintenance operations of the unqualified training projects.

4. The cloud computing-based rail transit intelligent operation and maintenance training system according to claim 1 is characterized in that: The calculation process of the training performance index of the training project is as follows: S11. Obtaining actual duration data of operation and maintenance operations in the training project and accuracy data of operation steps in the training project for analysis and calculation; S12. Calculate the training performance index TE of the trainee completing the operation and maintenance of the i-th training project according to the following formula: i : Among them, time ie is the preset standard time to complete the operation and maintenance of the i-th training project, time i is the actual time to complete the operation and maintenance of the i-th training project, N i is the total number of steps to complete the operation and maintenance of the i-th training project, C ik is the correct rate of the trainees in the kth operation step during the operation and maintenance of the i-th training project, ω ik It is the weight coefficient of the trainee in the kth operation step during the operation and maintenance of the i-th training project. It is the training performance index of the training project, which is used to reflect the performance of the trainee in the operation and maintenance process of the training project.

5. The cloud computing-based rail transit intelligent operation and maintenance training system according to claim 1 is characterized in that: The division process of the practical training projects in the practical training center is as follows: S21. Obtain the training performance index TE of the trainee completing the i-th training project operation i and the preset training performance threshold TE ie ; S22, when TE i <TE ie , it means that the trainee's training performance in completing the operation and maintenance of the i-th training project is unsatisfactory. i ≥TE ie , it means that the trainees have passed the training in completing the operation and maintenance operation of the i-th training project, and then the training projects in the training set are divided into qualified training projects and unqualified training projects, and the unqualified training projects are integrated into an unqualified project set.

6. The cloud computing-based rail transit intelligent operation and maintenance training system according to claim 1 is characterized in that: The calculation process of the project priority index of unqualified practical training projects is as follows: S31. Obtain data on the number of times unqualified training items require secondary rework and maintenance within one year during the actual rail transit operation and maintenance process, as well as data on the cost of completing the operation and maintenance operations for unqualified training items, and perform analysis and calculation based on the training performance index of the unqualified training items; S32. Calculate the project priority index P according to the following formula: Among them, H i H is the number of times the i-th unqualified training item is reworked and maintained for the second time during the actual rail transit operation and maintenance process within one year, all M is the total number of operation and maintenance operations of the training project in the actual rail transit operation and maintenance process within one year, i M is the standard cost of completing the operation and maintenance of the i-th unqualified training project. all To complete the standard cost of all practical training project operation and maintenance operations, TE ie The training performance threshold for the trainees to complete the operation and maintenance of the i-th training project is preset, TE i,f is the training performance index of the trainee completing the operation and maintenance operation of the i-th unqualified training project, α is the preset secondary rework weight coefficient, β is the preset cost expenditure weight coefficient, and the project priority index of the unqualified training project is used to prioritize the training of unqualified training projects in the unqualified project set.

7. The cloud computing-based rail transit intelligent operation and maintenance training system according to claim 1 is characterized in that: The calculation process of the project training effect index of unqualified practical training projects is as follows: S41. Obtaining cost data and actual duration data of operation and maintenance operations of unqualified practical training items during actual rail transit operation and maintenance, and analyzing and calculating the training performance index of the unqualified practical training items; S42. Calculate the project training effect index U of the unqualified practical training project according to the following formula: Among them, G is the total number of times the trainees have trained on the i-th unqualified training item, TE ij The training performance index of the jth trainee who completed the i-th training project operation and maintenance operation, TE ie The training performance threshold for the trainees to complete the operation and maintenance of the i-th training project is set, time ij time is the actual time to complete the operation and maintenance of the i-th training project for the jth time, ie M is the preset standard time to complete the operation and maintenance of the i-th training project, ij The actual cost of the jth trainee completing the i-th unqualified training project operation and maintenance, M i The standard cost of completing the operation and maintenance of the i-th unqualified training project; S43, obtaining the training effect index U and the preset training effect threshold U of the trainee who completed the i-th training project after intensive training e , when U e , it means that the training effect of the trainees is poor.​ 8. The cloud computing-based rail transit intelligent operation and maintenance training system according to claim 1 is characterized in that: When the task issuing unit issues tasks to trainees, each unqualified training item in the unqualified item set is sent to the trainees, and the number of times each unqualified training item is issued to the trainees within a training cycle is less than a preset release number threshold.

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