Work order audit full-process traceability management system based on big data

Abstract

The invention relates to the technical field of data processing, in particular to a work order audit whole-process traceability management system based on big data. Comprising a work order generation module, a work order integrity analysis module, a work information acquisition module, a work order distribution module, a work order execution detection module, a work order execution analysis module, a work order circulation module, a work order audit evaluation module and a management database. Analyzing the information integrity of the specified work order; analyzing the residual workload of each executor according to the work information parameters to determine the pre-selected executor of each flow of the specified work order; analyzing the allocation completion evaluation coefficient of the specified work order according to the achievement degree and completion efficiency of the flow of the specified work order; and the work order audit comprehensive evaluation index is comprehensively analyzed and fed back, so that the work order execution condition can be comprehensively known, and good promotion of work can be maintained.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing. Specifically, it is a full-process traceability management system for work order auditing based on big data. Background Art

[0002] In today's complex business environment, work order auditing is of crucial importance. With the continuous development and expansion of business, the number of work orders is increasing day by day, and the involved links and processes are becoming more and more complex and diverse.

[0003] In order to ensure the accuracy, compliance, and efficiency of work order processing, full-process traceability management has become an inevitable requirement. By conducting traceability management on the entire process of work order auditing, it is possible to clearly understand the entire path of each work order from generation to completion, including operations, decisions, and relevant responsible persons at each link.

[0004] For example, the existing Chinese patent with the application number 202111494420.6 discloses a full-process tracking and supervision system for engineering projects. This solution obtains project information through portal docking, enters and maintains relevant content in the project information module, selects the optimal audit indicators and controls time nodes using specific methods in the audit management module, the risk warning module judges risks and issues warnings based on this, the audit time limit query module can query the duration, and the approval form management unit of the audit management module associates the project with the approval form, determines the optimal audit indicators and time prediction values, and sets nodes. Finally, the risk warning module sends a warning based on the comparison result, thereby realizing the effective supervision of the full process of engineering projects and ensuring the completion of processes such as auditing within the specified time.

[0005] However, this solution has the following deficiencies: First, this solution mainly focuses on the tracking and supervision of the full process of engineering projects, including aspects such as information maintenance, audit indicator selection, and risk warning, but does not clearly mention task allocation, which may lead to unclear responsibilities, making it difficult to accurately assess the workload of individuals or teams, resulting in some people being overworked and some people having insufficient work, reducing work efficiency.

[0006] Second, although this solution conducts tracking and supervision on the full process of engineering projects, it does not involve a specific analysis of the smoothness of process flow, which may not be able to timely detect factors affecting the smoothness of the process, resulting in process blockages or lags, affecting the overall progress of the project, and being unfavorable for continuously improving the project management level. Summary of the Invention

[0007] In order to overcome the deficiencies in the background art, the embodiments of the present invention provide a full-process traceability management system for work order auditing based on big data, which can effectively solve the problems involved in the above background art.

[0008] The object of the present invention can be achieved by the following technical solutions: The present invention provides a whole-process traceability management system for work order audit based on big data, including: a work order generation module, configured to read a specified work order and determine the specified work order category according to each keyword of the specified work order.

[0009] A work order integrity analysis module, configured to obtain the number of key elements of the specified work order according to the specified work order category, and then analyze and obtain the information integrity of the specified work order .

[0010] A work information acquisition module, configured to match the process categories to which each process of the specified work order belongs to obtain the list of executors corresponding to the process categories to which each process of the specified work order belongs, and obtain work information parameters, where the work information parameters include the number of work orders currently being processed by each executor, the average time-consuming of historical work orders, and the basic workload value of the specified work order category.

[0011] A work order assignment module, configured to analyze and obtain the remaining workload of each executor according to the work information parameters, and then determine the preselected executors for each process of the specified work order.

[0012] A work order execution detection module, configured to allocate an expected time-consuming for each process of the specified work order, obtain the actual time-consuming of each process of the specified work order by scanning the process identification codes of the specified work order, and then analyze and obtain the achievement degree of the specified work order process. At the same time, analyze and obtain the completion efficiency of the specified work order according to the average time-consuming of the work order.

[0013] A work order execution analysis module, configured to analyze and obtain the assignment completion evaluation coefficient of the specified work order according to the achievement degree of the specified work order process and the completion efficiency of the specified work order .

[0014] A work order transfer module, configured to detect the transfer parameters of the specified work order, and then analyze and obtain the transfer smoothness of the specified work order , where the transfer parameters include transfer time-consuming, number of transfer obstacles, and number of redirects.

[0015] A work order audit evaluation module, configured to analyze and obtain the comprehensive audit evaluation index of the work order according to the information integrity 、assignment completion evaluation coefficient 、transfer smoothness and give feedback on it.

[0016] A management database, configured to store the keyword collection of work orders of various categories, the work order processing records of each work order category, the corresponding processes of each process category of the work order, and the list of executors corresponding to each process category.

[0017] Compared with the prior art, the present invention has the following beneficial effects: First, the system determines the category of a specified work order by judging each keyword of the specified work order, thereby obtaining the number of key element entries of the specified work order, and further analyzing to obtain the information integrity of the specified work order. It can classify work orders quickly and accurately, improve the pertinence and efficiency of work processing, and at the same time clarify the key elements of the work order to ensure the integrity of information.

[0018] Second, the present invention analyzes the remaining workload of each executor based on the work information parameters, and then determines the preselected executors for each process of the specified work order, realizing the rationalization of personnel arrangement, avoiding uneven task distribution, and improving the overall work progress.

[0019] Third, the present invention analyzes the assigned completion evaluation coefficient of the specified work order based on the achievement degree and completion efficiency of the specified work order process, which helps to timely understand the progress and efficiency of the work order process for timely adjustment and optimization.

[0020] Fourth, the present invention analyzes the work order audit comprehensive evaluation index based on the information integrity, assigned completion evaluation coefficient, and smooth flow of the specified work order, and gives feedback on it, which can more accurately reflect the actual situation of the work order, facilitate the overall control of the work status, and improve the overall work level. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0022] Figure 1 It is the system module connection diagram of the present invention.

[0023] Figure 2 is Figure 1 the flow schematic diagram of the work order integrity analysis module in

[0024] Figure 3 is Figure 1 the flow schematic diagram of the transfer parameters of the specified work order in the work order transfer module in DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0026] Please refer to Figure 1 As shown, a whole-process traceability management system for work order auditing based on big data includes a work order generation module, a work order integrity analysis module, a work information acquisition module, a work order allocation module, a work order execution detection module, a work order execution analysis module, a work order circulation module, a work order auditing and evaluation module, and a management database.

[0027] The management database is connected to the work order integrity analysis module, the work order execution analysis module, the work order circulation module, and the work order auditing and evaluation module. The work order auditing and evaluation module is connected to the work order integrity analysis module, the work order execution analysis module, and the work order circulation module. The work order execution detection module is connected to the work order execution analysis module. The work information acquisition module is connected to the work order allocation module and the work order generation module. The work order integrity analysis module is connected to the work order generation module.

[0028] The work order generation module is used to read a specified work order and determine the specified work order category according to each keyword of the specified work order.

[0029] The specific analysis method of the work order generation module is as follows: First step, read the work order, record it as the specified work order, analyze each word of the specified work order content to obtain each keyword of the specified work order. At the same time, read the keyword collection of each category of work orders from the management database, match each keyword of the specified work order with each keyword in the keyword collection of each category of work orders, and statistically obtain the keyword coincidence number of the specified work order and the keyword collection of each category of work orders; it can accurately find the keyword most relevant to the work order content, thus laying a foundation for accurate classification.

[0030] Second step, arrange the keyword coincidence numbers of the specified work order and the keyword collection of each category of work orders in descending order, and record the work order category corresponding to the first keyword coincidence number as the specified work order category; it can accurately determine the category to which the work order belongs, facilitate the rapid completion of work order classification, save time and effort, contribute to targeted resource allocation and task arrangement, and improve the scientificity and effectiveness of management.

[0031] The work order integrity analysis module is used to obtain the number of key elements of the specified work order according to the specified work order category, and then analyze the information integrity of the specified work order .

[0032] Please refer to Figure 2As shown in the figure, the specific operation method of the work order integrity analysis module is as follows: In the first step, read the specified work order category, read the work order processing records of each work order category from the management database, randomly select several historical work orders from the specified work order category, record them as the historical work orders of each specified category, extract each key element of the historical work orders of each specified category, and summarize to obtain the key element entries of the historical work orders of the specified category. The processing records and key elements of the same category of work orders in the past can be collected, which provides a reference for analyzing the current work order and prepares for subsequent comparison with the current work order.

[0033] It should be noted that the key element entries include work order number, work order category, customer information, required completion time, priority, relevant attachments, etc.

[0034] In the second step, scan the specified work order, extract each key element of the specified work order and fill them into the key element entries of the historical work orders of the specified category in sequence, and screen to obtain the number of filled entries of the key element entries of the historical work orders of the specified category, which is recorded as the number of key element entries of the specified work order. Ensure the accurate acquisition of the key elements of the current work order and do not miss important information.

[0035] In the third step, obtain the number of key element entries of the historical work orders of the specified category, compare the number of key element entries of the specified work order with the number of key element entries of the historical work orders of the specified category to obtain the information integrity of the specified work order. Clearly define the information completeness of the current work order, promptly discover missing or insufficient information. According to the information integrity result, measures can be taken to supplement and improve the information, thereby improving the quality and accuracy of work order processing.

[0036] It should be noted that the specific analysis method of the information integrity of the specified work order is: respectively read the number of key element entries of the specified work order and the number of key element entries of the historical work orders of the specified category, which is recorded as , through the formula Get the information integrity of the specified work order .

[0037] The work information acquisition module is used to match the list of executors corresponding to the process categories to which each process of the specified work order belongs, and obtain work information parameters. The work information parameters include the number of work orders currently being processed by each executor, the average historical work order duration, and the basic workload value of the specified work order category.

[0038] The specific operation method of the work information acquisition module is as follows: In the first step, read the corresponding processes of each process category of the work order from the management database, extract each process in the specified work order, match it with the corresponding processes of each process category of the work order to obtain the process categories to which each process of the specified work order belongs, read the list of executors corresponding to each process category from the management database, and match to obtain the list of executors corresponding to the process categories to which each process of the specified work order belongs. The first process of the specified work order is denoted as the first process of the specified work order. Number each executor in the list of executors corresponding to the process category to which the first process of the specified work order belongs in sequence, and the serial numbers are , obtain the number of work orders currently being processed by each executor, denoted as , and read the processing time used for each historical work order of each executor, denoted as , represents the serial number of the th historical work order, , obtain the average processing time of the historical work orders of each executor by calculating the average value of the processing time used for each historical work order of each executor, denoted as ; According to the current number of work orders of the executor, the allocation of new work orders can be reasonably arranged to improve work efficiency.

[0039] It should be noted that in a specific embodiment, the software system upgrade-related processes can be divided into process categories such as installation, configuration, debugging, testing, and verification. Among them, the testing category includes performance testing and compatibility testing.

[0040] In the second step, read the work order processing records of each work order category from the management database, extract several historical work orders from each work order category respectively, denoted as the historical work orders of each work order category, obtain the processing time used for the historical work orders of each work order category, and obtain the average processing time of the work order by calculating the average value, denoted as , substitute it into the formula to obtain the basic workload value of the specified work order category , represents the number of executors; calculating the basic workload value helps to clearly understand the overall workload of this work order category and facilitates decision-making such as resource allocation and work arrangement.

[0041] The work order allocation module is used to analyze the remaining workload of each executor based on the work information parameters, and then determine the preselected executors for each process of the specified work order.

[0042] The specific analysis method of the work order allocation module is as follows: In the first step, read the number of work orders currently being processed by each executor , the average processing time of historical work orders, and the basic workload value of the specified work order category , substitute them into the formula Obtain the remaining workload of each executor , where respectively represent the preset number of work orders being processed and the weight factor of the total time consumed by the work orders being processed.

[0043] In the second step, arrange the remaining workloads of each executor in ascending order. Denote the executor corresponding to the first remaining workload as the executor for the first process of the specified work order, and assign the specified work order processing task to him / her.

[0044] In the third step, analyze and obtain the executors for each process of the specified work order in the same way as analyzing the executor for the first process of the specified work order, and denote them as the preselected executors for each process of the specified work order; it can more scientifically and accurately evaluate the work pressure and task - bearing ability of each executor, and let the relatively more energetic and spare - capacity personnel undertake new tasks, improving the rationality and efficiency of task allocation.

[0045] It should be noted that in a specific embodiment can be set to 0.5 can be set to 0.5. The number of work orders directly reflects the current workload borne by the executor. The more the number, the heavier the work tasks he / she faces, and it has a greater impact on the remaining workload. The total time consumed not only reflects the number of work orders but also can reflect the complexity and required time length of each work order processing. Even if the number of work orders is the same, if the total time consumed is long, it means the work difficulty is large or there may be efficiency problems, and it also has a more significant impact on the remaining workload. Therefore, the weights corresponding to the number of work orders being processed and the total time consumed by the work orders being processed are equal.

[0046] The work order execution detection module is used to allocate the expected time for each process of the specified work order, obtain the actual time for each process of the specified work order by scanning the process identification codes of the specified work order, and then analyze and obtain the achievement degree of the specified work order process. At the same time, analyze and obtain the completion efficiency of the specified work order according to the average time of the work order.

[0047] The specific detection method of the work order execution detection module is as follows: Obtain the business requirements of the specified work order, read the expected time of the specified work order from it, and at the same time read the process categories to which each process of the specified work order belongs, and allocate the expected time for each process of the specified work order according to the proportion of the time required for each process category of historical work orders in the same category, denoted as , represents the number of the th process , at the same time, assign identification codes to each process of the specified work order. Scan the identification codes of each process of the specified work order through a code scanning device to obtain the time when the executor starts and ends the execution of each process of the specified work order. By taking the difference, obtain the actual time consumed for each process of the specified work order, denoted as , substitute it into the formula to obtain the achievement degree of the specified work order process , represents the number of processes, and at the same time reads the average time consumed for the work order , through the formula to obtain the completion efficiency of the specified work order ; it helps to have a clear expectation of the execution progress and time plan of the entire work order, enables better project management and progress control, and at the same time can comprehensively measure the efficiency and quality of the execution of the entire work order, providing data support for subsequent decision-making and improvement.

[0048] It should be noted that the specific analysis method for the time proportion required for each process category of the historical work orders of the same category is as follows: Read the work order processing records of each work order category from the management database, extract several historical work orders from the specified work order category, denoted as each historical work order of the same category. Obtain the historical time consumed for each process in each historical work order of the same category, and classify the processes according to their nature to obtain each process category. Calculate the average value of the historical time consumed for the processes corresponding to the same process category in each historical work order of the same category to obtain the average time consumed for each process category of the historical work orders of the same category. At the same time, obtain the total time consumed for each historical work order of the same category, and calculate the average total time consumed for the historical work orders of the same category through the average value calculation. Furthermore, divide the average time consumed for each process category of the historical work orders of the same category by the average total time consumed for the historical work orders of the same category to obtain the time proportion required for each process category of the historical work orders of the same category.

[0049] It should be noted that in a specific embodiment, there is a work order business requirement for software system upgrade. The expected time consumption for this work order is set to 10 hours. Read from the business requirements that the entire upgrade process includes environment preparation, software installation, configuration debugging, and test verification. Allocate the expected time consumption for each process of this work order according to the time proportion required for each process in previous similar projects: allocate 2 hours of expected time for the environment preparation step, 3 hours for the software installation step, 3 hours for the configuration debugging step, and 2 hours for the test verification step.

[0050] The work order execution analysis module is used to analyze and obtain the assigned completion evaluation coefficient of the specified work order according to the achievement degree of the specified work order process and the completion efficiency of the specified work order .

[0051] The specific analysis method of the work order execution analysis module is as follows: Read the achievement degree of the specified work order process respectively 、Completion efficiency Substitute it into the formula to obtain the assignment completion evaluation coefficient of the specified work order where respectively represent the achievement degree of the preset specified work order process and the weight factor of completion efficiency; the achievement degree reflects the degree of compliance between the actual execution and the expectation, while the completion efficiency reflects the speed and timeliness of the execution. By calculating the assignment completion evaluation coefficient, it can provide a basis for further decision-making.

[0052] It should be noted that in a specific embodiment can be set to 0.5 can be set to 0.5. The importance of the achievement degree of the specified work order process is relatively high. If the process achievement degree is low, it indicates that the work order is not carried out according to the established specifications and requirements, and there may be omissions, errors or incompleteness, which will directly affect the quality and final result of the work order and have a crucial impact on the completion of the entire work order. The completion efficiency is also equally important because efficiently completing the work order can reflect the working ability of the executor and the reasonable utilization of resources. A faster completion efficiency can improve the smoothness and timeliness of the overall work process, play a positive role in the promotion of the business, and at the same time reflect the level of the executor in time management and work arrangement. Therefore, the weights corresponding to the achievement degree of the specified work order process and the completion efficiency are equal.

[0053] The work order transfer module is used to detect the transfer parameters of the specified work order, and then analyze the transfer smoothness of the specified work order The transfer parameters include transfer time consumption, number of transfer obstacles, and number of redirects.

[0054] Please refer to Figure 3 As shown, the specific detection method for the transfer parameters of the specified work order is as follows: First step, read the time when the executor starts to execute each process of the specified work order and the time when the executor ends to execute each process of the specified work order, sort them in chronological order, and obtain the transfer time consumption between adjacent processes of the specified work order by taking the difference between adjacent times, and then accumulate the transfer time consumption between adjacent processes of the specified work order to obtain the transfer time consumption of the specified work order; clarifying the specific time intervals between each process helps to analyze whether the process connection is smooth, discover possible delays or inefficient links, so as to optimize them targeted and improve the overall process efficiency.

[0055] It should be noted that the specific analysis method for the transfer time consumption of the specified work order is: read the time when the executor starts to execute each process of the specified work order and the time when the executor ends to execute each process of the specified work order, and record them as respectively. Through the formula obtain the transfer time consumption of the specified work order , Indicates the time to end the execution of the th process of the specified work order.

[0056] Second step, read the specific event list that hinders the work order circulation preset. During the circulation of the specified work order, when an event on the specific event list that hinders the work order circulation occurs, mark it and record it as a circulation hindrance once, and count the number of circulation hindrances of the specified work order from issuance to completion to obtain the number of circulation hindrances of the specified work order; it can timely discover specific problem events that affect the work order circulation, facilitate taking measures to solve or avoid in advance, and ensure the smoothness of the work order circulation.

[0057] It should be noted that in a specific embodiment, the specific event list may include personnel factors, resource shortages, process defects, external interferences, etc. Among them, personnel factors include the leave or absence of the executing personnel, resource shortages include the failure or insufficiency of the required equipment, shortages of raw materials and parts, process defects include unclear task handover and unreasonable approval processes delaying time, and external interferences include sudden emergencies affecting normal work and temporary changes in customer requirements.

[0058] Third step, after each process of the specified work order is processed and enters the circulation, analyze the remaining workload of each executing personnel again to obtain the current remaining workload of each executing personnel, and arrange it in ascending order. Record the executing personnel corresponding to the first current remaining workload as the executing personnel for the next process of the specified work order. Read the preselected executing personnel for each process of the specified work order, screen out the preselected executing personnel for the next process of the specified work order, and match it with the executing personnel for the next process of the specified work order. If the preselected executing personnel for the next process of the specified work order is not the executing personnel for the next process of the specified work order, it is judged as a redirection, and count the number of redirections of the specified work order from issuance to completion, and record it as the number of redirections of the specified work order; through the statistics of the number of redirections, the difference between the process arrangement and the actual execution can be understood, providing a basis for further optimizing the process and personnel allocation strategy.

[0059] The specific analysis method of the work order circulation module is: read the circulation time-consuming, the number of circulation hindrances, and the number of redirections of the specified work order, and record them as 、 、 respectively, and substitute them into the formula to obtain the circulation smoothness of the specified work order, where respectively represent the preset reference values of the circulation time-consuming, the number of circulation hindrances, and the number of redirections, Weight factors representing the preset transfer time, number of transfer obstacles, and number of redirects respectively; it can intuitively evaluate the transfer situation of the work order, clearly see the gap between the actual situation and the expectation, so as to take targeted measures for improvement and optimization.

[0060] It should be noted that in a specific embodiment, can be set to 0.4, can be set to 0.4, can be set to 0.2. The transfer time directly reflects the speed of the work order transfer. The longer the time, the more likely there are inefficiencies, unreasonable processes, or other obstructive factors during the transfer, which has an intuitive and important impact on the transfer smoothness. The more the number of obstacles, the more problems and obstacles encountered during the transfer, which will seriously affect the transfer smoothness, indicating that there are many areas in the process that need improvement and optimization. The impact of the number of redirects is relatively smaller, but still has a certain importance. A larger number of redirects may mean that the process is not clear enough, resulting in the need for multiple adjustments in direction. However, compared with the former two, its impact on the transfer smoothness may be slightly weaker. Therefore, the weights corresponding to the transfer time and the number of transfer obstacles are higher, and the weight corresponding to the number of redirects is lower.

[0061] The work order audit and evaluation module is used to, according to the information integrity of the specified work order 、allocate a completion evaluation coefficient 、transfer smoothness analyze to obtain the work order audit comprehensive evaluation index and give feedback on it.

[0062] The specific analysis method of the work order audit and evaluation module is: respectively read the information integrity of the specified work order 、allocate a completion evaluation coefficient 、transfer smoothness ,substitute them into the formula to obtain the work order audit comprehensive evaluation index ,where respectively represent the weight factors of the preset information integrity, allocation completion evaluation coefficient, and transfer smoothness. Compare the work order audit comprehensive evaluation index with the preset comprehensive evaluation index threshold. If the work order audit comprehensive evaluation index is greater than or equal to the preset comprehensive evaluation index threshold, it means that the work order audit comprehensive evaluation is qualified. If the work order audit comprehensive evaluation index is less than the preset comprehensive evaluation index threshold, it means that the work order audit comprehensive evaluation is unqualified. Feed back the work order audit comprehensive evaluation index to the system; it can more comprehensively and objectively reflect the overall quality and execution situation of the work order, clearly judge whether the work order audit comprehensive evaluation is qualified, and thus provide a basis for further decision-making and improvement.

[0063] It should be noted that in a specific embodiment, It can be set to 0.4, It can be set to 0.4, It can be set to 0.2. Information integrity is relatively important. Information integrity is the basis for the effective execution and accurate evaluation of work orders. If the information is incomplete, it may lead to deviations, misunderstandings or inability to proceed in subsequent work, having a profound impact on the quality of the entire work order. The assigned completion evaluation coefficient directly reflects the results and effectiveness of work order execution, reflects whether the expected goals are achieved, and is one of the key factors for measuring the quality of work orders. Although the smoothness of circulation is also important, compared with the former two, it more affects the process efficiency. Information integrity and the assigned completion evaluation coefficient have a more direct and crucial impact on the final effect and quality of work orders. However, the smoothness of circulation is also indispensable. It can reflect the rationality of process design and execution and has a certain impact on the overall work efficiency. Therefore, the weights corresponding to information integrity and the assigned completion evaluation coefficient are relatively high, and the weight corresponding to the smoothness of circulation is relatively low.

[0064] A management database for storing the keyword collections of various types of work orders, the work order processing records of each work order category, the corresponding processes of each process category of work orders, and the list of execution personnel corresponding to each process category.

[0065] This system determines the specified work order category by specifying the keywords of the work order, obtains the number of key element entries of the specified work order, analyzes the information integrity of the specified work order, determines the preselected execution personnel for each process of the specified work order according to the remaining workload of each execution personnel analyzed based on the work information parameters, analyzes the assigned completion evaluation coefficient of the specified work order according to the achievement degree and completion efficiency of the specified work order process, and then comprehensively analyzes the comprehensive evaluation index of work order audit and gives feedback, enabling a comprehensive understanding of the work order execution situation and being conducive to maintaining the good progress of work.

[0066] Although the embodiments of the present invention 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 invention. Those of ordinary skill in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and still be covered by the protection scope of the present invention.

Claims

1. A full-process traceability management system for work order auditing based on big data, characterized in that, The system specifically includes the following modules: A work order generation module that determines the specified work order category based on each keyword of the specified work order; Work order integrity analysis module, which obtains the number of key element entries of a specified work order according to the specified work order category and analyzes the information integrity of the specified work order ; A work information acquisition module that matches the process categories to which each process of the specified work order belongs to obtain a list of executors corresponding to the process categories to which each process of the specified work order belongs, and obtains work information parameters, where the work information parameters include the number of work orders currently being processed by each executor, the average historical work order processing time, and the basic workload value of the specified work order category; A work order assignment module that analyzes the remaining workload of each executor based on the work information parameters to determine the preselected executors for each process of the specified work order; A work order execution detection module that assigns an expected processing time to each process of the specified work order, obtains the actual processing time of each process of the specified work order by scanning the process identification codes of the specified work order, analyzes the achievement degree of the specified work order process, and at the same time analyzes the completion efficiency of the specified work order based on the average processing time of the work order; The work order execution analysis module analyzes the assignment completion evaluation coefficient of a specified work order according to the completion degree and completion efficiency ; The work order transfer module detects the transfer parameters of a specified work order and analyzes the smoothness of the transfer of the specified work order , and the transfer parameters include transfer time consumption, number of transfer obstacles, and number of redirects; The work order audit and evaluation module calculates the comprehensive evaluation index of the work order audit by integrating , and and gives feedback.

2. The full-process traceability management system for work order auditing based on big data according to claim 1, characterized in that, The specific analysis method of the work order generation module is as follows: In the first step, read the work order, record it as the specified work order, perform a word-by-word analysis on the content of the specified work order to obtain each keyword of the specified work order, and at the same time read the keyword collection of each category of work orders from the management database. Match each keyword of the specified work order with each keyword in the keyword collection of each category of work orders, and statistically obtain the number of keyword overlaps between the specified work order and the keyword collection of each category of work orders; In the second step, arrange the number of keyword overlaps between the specified work order and the keyword collection of each category of work orders in descending order, and record the work order category corresponding to the first number of keyword overlaps as the specified work order category.

3. The full-process traceability management system for work order auditing based on big data according to claim 2, characterized in that, The specific operation method of the work order integrity analysis module is as follows: In the first step, read the specified work order category, read the work order processing records of each work order category from the management database, randomly select several historical work orders from the specified work order category, record them as each specified category historical work order, extract each key element of each specified category historical work order, and summarize to obtain the key element entry of the specified category historical work order; In the second step, scan the specified work order, extract each key element of the specified work order and fill it into the key element entry of the specified category historical work order in sequence, and screen to obtain the number of filled entries of the key element entry of the specified category historical work order, which is recorded as the number of key element entries of the specified work order; In the third step, obtain the number of key element entries of the specified category historical work order, compare the number of key element entries of the specified work order with the number of key element entries of the specified category historical work order, and obtain the information integrity of the specified work order.

4. The full-process traceability management system for work order audit based on big data according to claim 3, characterized in that, The specific operation method of the work information acquisition module is as follows: First step, read the processes corresponding to each process category of the work order from the management database, extract the processes in the specified work order, match them with the processes corresponding to each process category of the work order to obtain the process categories to which the processes in the specified work order belong, read the list of executors corresponding to each process category from the management database, and match to obtain the list of executors corresponding to the process categories to which the processes in the specified work order belong. The first process of the specified work order is denoted as the first process of the specified work order. Number the executors in the list of executors corresponding to the process category to which the first process of the specified work order belongs in sequence, numbered in sequence as , obtain the number of work orders currently being processed by each executor, denoted as , and read the processing time used for each historical work order of each executor, denoted as , represents the number of the th historical work order, , obtain the average historical work order processing time of each executor by taking the average of the processing times used for each historical work order of each executor, denoted as ; Step 2: Read the work order processing records of each work order category from the management database, separately extract several historical work orders from each work order category, denote them as the historical work orders of each work order category, obtain the time taken for processing each historical work order of each work order category, calculate the average time-consuming of the work order through mean value calculation, denote it as , substitute it into the formula to obtain the basic workload value of the specified work order category , represents the number of executors.

5. The whole-process traceability management system for work order auditing based on big data according to claim 4, characterized in that, The specific analysis method of the work order assignment module is as follows: The first step is to read the number of work orders currently being processed by each executor , the average time taken for historical work orders, and the basic workload value for the specified work order category , and substitute them into the formula to obtain the remaining workload of each executor , where respectively represent the preset weight factors for the number of work orders being processed and the total time taken for the work orders being processed; In the second step, arrange the remaining workloads of each executor in ascending order, record the executor corresponding to the first remaining workload as the executor of the first process of the specified work order, and issue the specified work order processing task to it; In the third step, analyze the executors of each process of the specified work order according to the method of analyzing the executor of the first process of the specified work order, and record them as the preselected executors of each process of the specified work order.

6. The full - process traceability management system for work order audit based on big data according to claim 4, characterized in that The specific detection method of the work order execution detection module is as follows: Obtain the business requirements of the specified work order, read the expected time consumption of the specified work order from it, and at the same time read the process categories to which each process of the specified work order belongs. Allocate the expected time consumption for each process of the specified work order according to the proportion of the time required for each process category of historical work orders in the same category, denoted as , indicating the number of the th process. At the same time, allocate identification codes for each process of the specified work order. Scan the identification codes of each process of the specified work order through a barcode scanning device to obtain the time when the executor starts and ends the execution of each process of the specified work order. Subtract them to obtain the actual time consumption of each process of the specified work order, denoted as . Substitute it into the formula to obtain the achievement degree of the specified work order process . represents the number of processes. At the same time, read the average time consumption of the work order . Through the formula obtain the completion efficiency of the specified work order .

7. The full-process traceability management system for work order auditing based on big data according to claim 6, characterized in that, The specific analysis method of the work order execution analysis module is as follows: Read the achievement levels of the specified work order processes separately and completion efficiency , substitute them into the formula to obtain the assignment completion evaluation coefficient of the specified work order , where respectively represent the preset weight factors for the achievement level and completion efficiency of the specified work order process.

8. The whole-process traceability management system for work order audit based on big data according to claim 7, characterized in that, The specific detection method for the transfer parameters of the specified work order is as follows: In the first step, read the time when the executor starts to execute each process of the specified work order and the time when each process of the specified work order ends, sort them in chronological order, obtain the transfer time consumption between adjacent processes of the specified work order by taking the difference between adjacent times, and then accumulate the transfer time consumption between adjacent processes of the specified work order to obtain the transfer time consumption of the specified work order; In the second step, read the specific event list that hinders the transfer of the work order. During the transfer process of the specified work order, when an event on the specific event list that hinders the transfer of the work order occurs, mark it and record it as a transfer hindrance once, and count the number of transfer hindrances of the specified work order from issuance to completion to obtain the number of transfer hindrances of the specified work order; In the third step, after each process of the specified work order is processed and enters the transfer, analyze the remaining workload of each executor again to obtain the current remaining workload of each executor, arrange it in ascending order, record the executor corresponding to the first current remaining workload as the executor of the next process of the specified work order, read the preselected executors of each process of the specified work order, screen out the preselected executor of the next process of the specified work order from them, and match it with the executor of the next process of the specified work order. If the preselected executor of the next process of the specified work order is not the executor of the next process of the specified work order, it is judged as a redirection, and count the number of redirections of the specified work order from issuance to completion, which is recorded as the number of redirections of the specified work order.

9. The whole-process traceability management system for work order auditing based on big data according to claim 8, characterized in that, The specific analysis method of the work order transfer module is as follows: Read the transfer time, the number of transfer obstacles, and the number of redirects for the specified work order, and record them as , , respectively. Substitute them into the formula to obtain the transfer smoothness of the specified work order, where respectively represent the reference values of the preset transfer time, the number of transfer obstacles, and the number of redirects, respectively represent the weight factors of the preset transfer time, the number of transfer obstacles, and the number of redirects.

10. The full-process traceability management system for work order auditing based on big data according to claim 1, characterized in that The specific analysis method of the work order audit and evaluation module is as follows: Read the information integrity of the specified work order separately and assign the completion evaluation coefficient as well as the smoothness of the transfer , substitute them into the formula to obtain the comprehensive evaluation index of work order audit , where respectively represent the preset weight factors of information integrity, assignment completion evaluation coefficient, and transfer smoothness. Compare the comprehensive evaluation index of work order audit with the preset comprehensive evaluation index threshold. If the comprehensive evaluation index of work order audit is greater than or equal to the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation of work order audit is qualified. If the comprehensive evaluation index of work order audit is less than the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation of work order audit is unqualified. Feed back the comprehensive evaluation index of work order audit to the system.

Images