Pipeline operation and maintenance business work order distribution system and method

Abstract

The invention relates to the technical field of work order automatic distribution, in particular to a pipeline operation and maintenance service work order distribution system and method. Obtaining business content, automatically creating a work order according to a preset business rule and the business content, and distributing the work order to proper processing personnel; dynamically adjusting the preset business rule according to the real-time data feedback; and the workload of the processing personnel is monitored in real time, and work order distribution is dynamically adjusted according to the real-time load condition. Automatic distribution and automatic creation are achieved, manual intervention time and cost are reduced, and work order processing efficiency is improved. And the workload balance of processing personnel is ensured through real-time monitoring and dynamic scheduling, and the resource utilization rate is improved. And the service satisfaction degree of the user and the public is improved through an accurate distribution strategy and quick response.

Description

Technical Field

[0001] The present invention relates to the technical field of automated work order distribution, and in particular to a pipeline operation and maintenance service work order distribution system and method. Background Art

[0002] Pipeline operation and maintenance work order allocation refers to the process of allocating tasks or problems (i.e. work orders) that need to be handled to the appropriate personnel or team during the pipeline operation and maintenance management process. This process is a key link to ensure that pipeline operation and maintenance work is carried out efficiently and orderly.

[0003] Traditionally, manual allocation is used, where humans decide which operation and maintenance personnel or teams to assign work orders to based on experience and some basic rules. This approach relies on the experience, judgment and decision-making of business administrators, and is prone to problems such as uneven allocation and delayed response. Especially in today's rapidly developing urbanization, when faced with a large number of mobile inspection and maintenance work orders, the efficiency and accuracy of manual allocation are difficult to guarantee. Summary of the invention

[0004] The purpose of the present invention is to provide a pipeline operation and maintenance service work order distribution system and method, which solves the problems of uneven distribution of manual work orders, delayed response, and difficulty in ensuring efficiency and accuracy.

[0005] To achieve the above object, the present invention provides a pipeline operation and maintenance service work order allocation method, comprising the following steps:

[0006] Design and store business rules;

[0007] Obtain business content, automatically create work orders based on preset business rules and business content, and assign work orders to appropriate processing personnel;

[0008] Dynamically adjust preset business rules based on real-time data feedback;

[0009] Monitor the workload of processing personnel in real time and dynamically adjust the work order allocation based on the real-time load situation.

[0010] The steps of designing and storing business rules also include:

[0011] Define the type and name of the business rule;

[0012] Determine the production scope of the work order, including geographic area, service type or operation and maintenance stage;

[0013] Set the report type;

[0014] Specify the duration of the work order;

[0015] Establish fault judgment criteria;

[0016] Assess the level of urgency;

[0017] Set assignment types to specify how tickets are assigned, including based on skills, location, or historical performance;

[0018] Define throttling rules, including ticket quantity limits and handler workload caps.

[0019] The steps of obtaining business content, automatically creating a work order according to preset business rules and business content, and assigning the work order to a suitable processing person also include:

[0020] Receive business requests from users;

[0021] Analyze the content of the business request and extract key information, including fault description, location, time and urgency;

[0022] Match the extracted business content with the preset business rules to determine the applicable rule type and specific processing flow;

[0023] Automatically generate a work order based on the matching business rules, which includes information about the fault subject, fault type, urgency, and allocation type;

[0024] Evaluate the appropriate handler based on the ticket details and the handler's qualifications, skills, and historical performance;

[0025] Evaluate the current workload of each processing staff to ensure the balance after the work order is allocated;

[0026] Dynamically schedule and assign work orders to the most appropriate handler based on their qualifications and workload;

[0027] Send the assigned ticket handlers the ticket details and confirm that they can accept and process the ticket.

[0028] The preset business rules are dynamically adjusted according to the real-time data feedback, and the steps further include:

[0029] Continuously collect real-time data during the work order processing process, including work order completion time, processing staff efficiency and customer satisfaction;

[0030] Analyze the collected real-time data to identify bottlenecks and inefficiencies in the work order processing process;

[0031] Based on the performance indicator analysis results, evaluate the effectiveness and applicability of the current preset business rules;

[0032] Determine whether the preset business rules need to be adjusted;

[0033] Optimize and adjust the preset business rules based on the identified adjustment needs, including modifying the work order allocation logic, adjusting the workload balancing strategy, and updating the fault judgment criteria;

[0034] Apply the adjusted business rules to the work order distribution system and monitor their impact on the work order processing process;

[0035] Feed the monitoring results back to the business rule evaluation phase to form a continuous optimization cycle and continuously improve the preset business rules.

[0036] The process of monitoring the workload of the processing personnel in real time and dynamically adjusting the work order allocation according to the real-time load situation further includes:

[0037] Collect the current workload and work order status information of the processing personnel in real time;

[0038] Analyze the workload of processing personnel, including the number of ongoing work orders, work order complexity, expected completion time and historical work order processing efficiency;

[0039] Use load balancing algorithms to dynamically adjust work order allocation strategies based on workload assessment results;

[0040] Reassign work orders based on recommendations from the load balancing algorithm, assign new work orders to less loaded handlers, or rebalance existing work orders;

[0041] Send notifications of ticket assignment changes to handlers, including the newly assigned ticket and any adjusted ticket details;

[0042] Collect feedback from processors on work order allocation adjustments, and evaluate the effectiveness of the adjustments and processors' satisfaction;

[0043] Continuously monitor the progress of ticket processing and the workload of the handlers to ensure that the ticket allocation remains optimal.

[0044] The process of monitoring the workload of the processing personnel in real time and dynamically adjusting the work order allocation according to the real-time load situation may further include:

[0045] Establish a sound feedback mechanism, collect opinions from customers and processing personnel, and continuously optimize allocation strategies.

[0046] A pipeline operation and maintenance work order distribution system, comprising a business rule module, a work order creation distribution module, a dynamic adjustment module and a load balancing module, wherein the work order creation distribution module is connected to the business rule module, the dynamic adjustment module is connected to the business rule module, and the load balancing module is connected to the work order creation distribution module;

[0047] The business rules module is used to design and store business rules;

[0048] The work order creation and allocation module is used to obtain business content, automatically create work orders according to preset business rules and business content, and allocate work orders to appropriate processing personnel;

[0049] The dynamic adjustment module is used to dynamically adjust the preset business rules according to real-time data feedback;

[0050] The load balancing module is used to monitor the workload of processing personnel in real time and dynamically adjust the work order allocation according to the real-time load situation.

[0051] A pipeline operation and maintenance service work order allocation system and method of the present invention first designs a set of flexible rules, and realizes automatic allocation and creation of work orders according to preset business rules (rule type, rule name, production scope, report type, duration, fault judgment, urgency and other conditions). The rules can be dynamically adjusted according to real-time data feedback to adapt to changing business needs, monitor the workload of processing personnel in real time, avoid the situation where some personnel are overloaded while other personnel are idle, and dynamically adjust the work order allocation according to the real-time load situation to ensure that the workload of each processing personnel is balanced. Among them, it supports the reception and allocation of work orders from multiple channels (platform registration, public hotline, third-party data docking), provides a unified management platform, and facilitates business administrators to monitor and adjust the work order allocation of each channel. It can be allocated to the corresponding business processing personnel first according to user preferences and historical interaction records. Establish a complete feedback mechanism, collect customer and processing personnel opinions, and continuously optimize the allocation strategy. Through automatic allocation and automatic creation, the time and cost of manual intervention are reduced, and the efficiency of work order processing is improved. Real-time monitoring and dynamic scheduling ensure that the workload of processing personnel is balanced and resource utilization is improved. Accurate allocation strategy and rapid response improve the service satisfaction of users and the public. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0053] Figure 1 It is a flowchart of the steps of the pipeline operation and maintenance service work order allocation method according to the first embodiment of the present invention.

[0054] Figure 2 This is a flowchart of automatic work order allocation according to the first embodiment of the present invention.

[0055] Figure 3 It is a principle block diagram of a pipeline operation and maintenance work order distribution system according to a second embodiment of the present invention.

[0056] Figure 4 It is a system architecture diagram of an implementation case of the second embodiment of the present invention.

[0057] In the figure: 201-business rule module, 202-work order creation and allocation module, 203-dynamic adjustment module, 204-load balancing module. DETAILED DESCRIPTION

[0058] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0059] The first embodiment of the present application is:

[0060] See also Figure 1 and Figure 2 ,in, Figure 1 It is a flowchart of the steps of the pipeline operation and maintenance service work order allocation method according to the first embodiment of the present invention. Figure 2 This is a flowchart of automatic work order allocation according to the first embodiment of the present invention.

[0061] The present invention provides a pipeline operation and maintenance service work order allocation method, comprising the following steps:

[0062] S101: Design and store business rules;

[0063] Specifically, create different rule categories, such as emergency repairs, routine inspections, etc., and assign a unique name to each rule category. Through classification and naming, specific business rules can be quickly identified and applied. Define the processing scope of work orders according to geographical areas, service types, or operation and maintenance stages. This involves geographic information system (GIS) data and business needs analysis to ensure that work orders are processed in the right areas and stages, improving response speed and service quality. Define different types of reports, such as leaks, ruptures, maintenance requests, etc., and implement them by classifying and coding report types, standardizing report information, and facilitating rapid identification and response to different types of problems. Set expected processing times for different types of work orders, determined by analysis based on historical data and standard operating procedures (SOPs), and based on the requirements of service level agreements (SLAs), ensure that work orders are completed on time. Create a set of standards to judge and classify the severity and type of faults, based on fault history data and expert experience, implement fault tree analysis and risk assessment to quickly and accurately identify faults. Assess the urgency of work orders based on the impact and potential risks of the fault, involving risk matrices and urgency scoring systems, and prioritize to ensure that the most urgent problems receive the fastest response. Clarify the specific method of work order allocation, such as based on skills, geographic location or historical performance, based on algorithms such as nearest neighbor allocation and skill matching algorithm, optimize resource allocation and ensure that work orders are handled by the most appropriate personnel. Set a limit on the number of work orders and the workload of the processing personnel, based on workload analysis and human resource management, to prevent overwork and ensure work quality, and maintain service levels by limiting workload.

[0064] S102: Obtain business content, automatically create a work order according to preset business rules and business content, and assign the work order to a suitable processing person;

[0065] Specifically, business requests submitted by users are received through various channels such as platform registration, public hotlines, and third-party data docking, and all information requested by users is recorded in detail, including request time, user information, contact information, etc. Natural language processing (NLP) technologies, such as text analysis and entity recognition, are used to extract key information such as fault description, location, time, and urgency from user requests. The calculation process is as follows: Text analysis: Apply bag-of-words model, TF-IDF and other technologies to extract text features; Entity recognition: Use named entity recognition (NER) technology to identify entities such as location and time. Match the extracted key information with the preset business rules to determine the applicable rule type and processing flow, including applying classification algorithms such as decision trees and random forests to classify requests and match corresponding business rules. Automatically create a work order based on the matched business rules, including information on the fault subject, fault type, urgency, and allocation type, where the work order template is filled: According to the matched rules, relevant information is extracted from the preset work order template and the work order fields are automatically filled. Evaluate the qualifications, skills, and historical performance of handlers to determine the most suitable handlers, including skill matching algorithms: use algorithms such as cosine similarity to compare the matching degree between work order requirements and handler skills, and performance evaluation: calculate the performance score of handlers based on historical work order completion and customer feedback. When assigning work orders, consider customer preferences for handlers, such as customers may prefer to work with familiar handlers. Analyze the historical interaction records between customers and handlers, such as communication efficiency, problem solving quality, etc., and give priority to assigning to handlers who are familiar to customers and perform well.

[0066] S103: Dynamically adjust the preset business rules according to real-time data feedback;

[0067] Specifically, key performance indicators such as work order completion time, processing staff efficiency and customer satisfaction are monitored in real time. The data is collected using a database and real-time monitoring tools. The formula is: D = {d 1 , d 2 , ..., d n}, where D is the data set, d i is the data record of the i-th work order. Analyze the data to identify bottlenecks and inefficient links. Bottleneck identification uses statistical analysis methods, such as standard deviation, box plot, etc., to identify outliers. The formula is expressed as: Where Q is the standard deviation, X i is the ith data point, is the average value. Evaluate business rules based on performance indicator analysis results. Use decision tree or logistic regression model to evaluate the prediction accuracy of rules. For decision tree, construct information gain or Gini impurity calculation; for logistic regression, use likelihood ratio test. Determine whether adjustment is needed based on the evaluation results, set a threshold, and trigger adjustment when the performance indicator is lower than the threshold. The formula is: T = {t 1 , t 2 , ..., t m}, where T is the threshold set, t i is the threshold of the i-th performance indicator. Optimize business rules according to adjustment requirements, and use optimization algorithms such as genetic algorithms and simulated annealing to adjust rule parameters. The formula is: For genetic algorithms, Where f(x) is the fitness function, c i and f i (x) are the weight and function of the i-th objective, respectively. Implement the adjusted rules and monitor the effects. Use A / B testing or multi-armed bandit algorithms to test the effects of the new rules. For A / B testing, calculate the confidence interval of the conversion rate difference; for multi-armed bandit, use the UCB (Upper Confidence Bound) algorithm. Use online learning or incremental learning techniques of machine learning models to continuously update the model. Through these steps, data can be continuously collected and analyzed, and business rules can be dynamically adjusted to improve the efficiency of work order processing and customer satisfaction.

[0068] S104: Monitor the workload of processing personnel in real time, and dynamically adjust the work order allocation according to the real-time load situation.

[0069] Specifically, use an information management system (such as CRM, ERP or a customized work order management system) to capture all the work order information currently being processed by the processing personnel in real time, including work order type, priority, processing stage, etc. Integrate the personal schedules of the processing personnel to understand their free time and scheduled tasks, and ensure that the work order allocation does not conflict with the existing plan. Count the total number of work orders currently being processed by each processing personnel to assess their direct workload. According to the nature of the work order, such as urgency, required skill level, and estimated time consumption, classify them to assess the degree of challenge faced by the processing personnel. Predict the completion time of each work order based on historical data and current progress to determine the future workload of the processing personnel. Analyze the speed and quality of processing similar work orders by the processing personnel in the past as a reference for allocating new work orders. Consider the processing personnel's workload, skill matching, expected completion time and other factors, design or select appropriate load balancing algorithms, such as polling, least connections, weighted random, etc., to calculate the optimal work order allocation plan. The algorithm should be able to update in real time to adapt to instantaneous changes in workload. According to the algorithm results, automatically or manually allocate new work orders to processing personnel with lighter loads and matching skills. Consider reassigning or providing additional support to speed up the processing of assigned tickets that are progressing slowly. Inform handlers of changes in ticket assignments in a timely manner, including details of newly assigned tickets and any adjustment instructions, through system messages, emails, or text messages. Set up online surveys, feedback forms, or regular meetings to encourage handlers to provide feedback on the rationality, fairness, and challenges of ticket assignments. When collecting feedback, pay attention to protecting the privacy of handlers and ensure that feedback is anonymous or at least confidential. Use data analysis tools to continuously track the progress of ticket processing to ensure that all tickets are completed on time. Regularly evaluate the workload of handlers and adjust the allocation strategy in a timely manner to avoid overload or idleness. Collect customer feedback on the speed, quality, and communication efficiency of ticket processing through customer satisfaction surveys, online reviews, or customer service hotlines. Analyze customer feedback and identify deficiencies in service as a basis for improving ticket assignment strategies. Organize regular handler seminars or workshops to discuss issues and challenges in ticket assignment in depth and encourage suggestions for improvement. Set up a suggestion box or online platform for handlers to submit improvement suggestions and ideas at any time. Based on the feedback from customers and processing personnel, regularly evaluate and adjust the work order allocation strategy, including algorithm parameters, allocation rules, etc. Introduce new technologies or tools, such as artificial intelligence-assisted allocation systems, to improve the intelligence and automation level of allocation. Through the above steps, not only can the real-time monitoring and dynamic adjustment of pipeline operation and maintenance work orders be achieved, but also the allocation strategy can be continuously optimized through a perfect feedback mechanism to improve overall work efficiency and customer satisfaction.

[0070] Through automatic allocation and creation, the time and cost of manual intervention are reduced, and the efficiency of work order processing is improved. Real-time monitoring and dynamic scheduling ensure that the workload of processing personnel is balanced and resource utilization is improved. Accurate allocation strategies and rapid response improve the service satisfaction of users and the public.

[0071] The second embodiment of the present application is:

[0072] Based on the first embodiment, please refer to Figure 3 and Figure 4 ,in, Figure 3 It is a principle block diagram of a pipeline operation and maintenance work order distribution system according to a second embodiment of the present invention. Figure 4 It is a system architecture diagram of an implementation case of the second embodiment of the present invention.

[0073] A pipeline operation and maintenance service work order distribution system of this embodiment includes a business rule module 201 , a work order creation and distribution module 202 , a dynamic adjustment module 203 and a load balancing module 204 .

[0074] According to this specific implementation, the work order creation allocation module 202 is connected to the business rule module 201, the dynamic adjustment module 203 is connected to the business rule module 201, and the load balancing module 204 is connected to the work order creation allocation module 202;

[0075] The business rule module 201 is used to design and store business rules;

[0076] The work order creation and allocation module 202 is used to obtain business content, automatically create work orders according to preset business rules and business content, and allocate work orders to appropriate processing personnel;

[0077] The dynamic adjustment module 203 is used to dynamically adjust the preset business rules according to real-time data feedback;

[0078] The load balancing module 204 is used to monitor the workload of processing personnel in real time and dynamically adjust the work order allocation according to the real-time load situation.

[0079] Using a pipeline operation and maintenance service work order distribution system of this embodiment, the business rule module 201 defines the standard process, rule type, rule name, production scope, report type, duration, fault judgment, urgency, etc. of work order processing, and stores the designed business rules in the system so that other modules can access and apply these rules. The work order creation and distribution module 202 receives the user's business request through the user interface or other data input methods, and automatically creates a work order according to the preset business rules provided by the business rule module 201, including information such as the fault subject, fault type, urgency, and distribution type, and distributes the work order to the appropriate processing personnel according to the detailed information of the work order and the qualifications, skills, and historical performance of the processing personnel. The dynamic adjustment module 203 continuously collects real-time data in the process of work order processing, including the completion time of the work order, the efficiency of the processing personnel, and the customer satisfaction, analyzes the collected real-time data, identifies the bottlenecks and inefficient links in the process of work order processing, evaluates the effectiveness and applicability of the current preset business rules according to the performance indicator analysis results, and makes necessary adjustments to the business rules in the business rule module 201. The load balancing module 204 monitors the workload of the processing personnel in real time, including the number of ongoing work orders, the complexity of the work orders, the estimated completion time and the historical work order processing efficiency, and dynamically adjusts the work order allocation strategy according to the real-time load situation to ensure balanced workload and avoid overload. Specifically, the user submits a business request through the interface. The work order creation allocation module 202 obtains the business content and automatically creates a work order according to the rules in the business rule module 201. The work order creation allocation module 202 allocates the work order to the appropriate processing personnel. The load balancing module 204 monitors the workload of the processing personnel and provides the work order creation allocation module 202 with reallocation suggestions when necessary. The processing personnel start processing the work order, and the system collects real-time data on the work order processing. The dynamic adjustment module 203 analyzes the real-time data and adjusts the preset business rules in the business rule module 201 as needed. The adjusted business rules are applied to the work order creation allocation module 202 to optimize the future work order creation and allocation process.

[0080] Realize highly automated and intelligent work order processing flow, improve work order processing efficiency, optimize resource allocation, and enhance customer satisfaction.

[0081] Implementation Cases:

[0082] The platform adopts B / S architecture, supports PC and mobile terminals, and supports large-screen display. The overall system architecture is as follows Figure 4 shown.

[0083] Operation process:

[0084] Work order reception: Users submit work orders through the front-end interface.

[0085] Rule matching: The back-end system matches the fault subject, fault type and urgency according to preset rules.

[0086] Dynamic Adjustment: The system dynamically adjusts allocation rules based on real-time data and feedback.

[0087] Work order allocation: Assign work orders to the corresponding business processor or team according to preset business rules.

[0088] Feedback collection: After the processor completes the work order, the system collects feedback from the user and the processor to optimize the allocation strategy.

[0089] Through automatic allocation and creation, the time and cost of manual intervention are reduced, and the efficiency of work order processing is improved. Real-time monitoring and dynamic scheduling ensure that the workload of processing personnel is balanced and resource utilization is improved. Accurate allocation strategies and rapid response improve the service satisfaction of users and the public.

[0090] What is disclosed above is only one or more preferred embodiments of the present application, and cannot be used to limit the scope of rights of the present application. Ordinary technicians in this field can understand that all or part of the processes of implementing the above embodiments and equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A pipeline operation and maintenance work order allocation method, characterized in that: The following steps are involved: Design and store business rules; Obtain business content, automatically create work orders based on preset business rules and business content, and assign work orders to appropriate processing personnel; Dynamically adjust preset business rules based on real-time data feedback; Monitor the workload of processing personnel in real time and dynamically adjust the work order allocation based on the real-time load situation.

2. The pipeline operation and maintenance service work order allocation method according to claim 1, characterized in that: Designing and storing business rules, the steps further include: Define the type and name of the business rule; Determine the production scope of the work order, including geographic area, service type or operation and maintenance stage; Set the report type; Specify the duration of the work order; Establish fault judgment criteria; Assess the level of urgency; Set assignment types to specify how tickets are assigned, including based on skills, location, or historical performance; Define throttling rules, including ticket quantity limits and handler workload caps.

3. The pipeline operation and maintenance work order allocation method according to claim 2, characterized in that: Acquire business content, automatically create a work order according to preset business rules and business content, and assign the work order to a suitable processing person, the steps also include: Receive business requests from users; Analyze the content of the business request and extract key information, including fault description, location, time and urgency; Match the extracted business content with the preset business rules to determine the applicable rule type and specific processing flow; Automatically generate a work order based on the matching business rules, which includes information about the fault subject, fault type, urgency, and allocation type; Evaluate the appropriate handler based on the ticket details and the handler's qualifications, skills, and historical performance; Evaluate the current workload of each processing staff to ensure the balance after the work order is allocated; Dynamically schedule and assign work orders to the most appropriate handler based on their qualifications and workload; Send the assigned ticket handlers the ticket details and confirm that they can accept and process the ticket.

4. The pipeline operation and maintenance work order allocation method according to claim 3, characterized in that: Dynamically adjusting the preset business rules according to real-time data feedback, the steps also include: Continuously collect real-time data during the work order processing process, including work order completion time, processing staff efficiency and customer satisfaction; Analyze the collected real-time data to identify bottlenecks and inefficiencies in the work order processing process; Based on the performance indicator analysis results, evaluate the effectiveness and applicability of the current preset business rules; Determine whether the preset business rules need to be adjusted; Optimize and adjust the preset business rules based on the identified adjustment needs, including modifying the work order allocation logic, adjusting the workload balancing strategy, and updating the fault judgment criteria; Apply the adjusted business rules to the work order distribution system and monitor their impact on the work order processing process; Feed the monitoring results back to the business rule evaluation phase to form a continuous optimization cycle and continuously improve the preset business rules.

5. The pipeline operation and maintenance work order allocation method according to claim 4, characterized in that: Monitor the workload of the processing personnel in real time and dynamically adjust the work order allocation according to the real-time load situation, the steps also include: Collect the current workload and work order status information of the processing personnel in real time; Analyze the workload of processing personnel, including the number of ongoing work orders, work order complexity, expected completion time and historical work order processing efficiency; Use load balancing algorithms to dynamically adjust work order allocation strategies based on workload assessment results; Reassign work orders based on recommendations from the load balancing algorithm, assign new work orders to less loaded handlers, or rebalance existing work orders; Send notifications of ticket assignment changes to handlers, including the newly assigned ticket and any adjusted ticket details; Collect feedback from processors on work order allocation adjustments, and evaluate the effectiveness of the adjustments and processors' satisfaction; Continuously monitor the progress of ticket processing and the workload of the handlers to ensure that the ticket allocation remains optimal.

6. The pipeline operation and maintenance work order allocation method according to claim 5, characterized in that: Monitor the workload of the processing personnel in real time and dynamically adjust the work order allocation according to the real-time load situation, and the steps also include: Establish a sound feedback mechanism, collect opinions from customers and processing personnel, and continuously optimize allocation strategies.

7. A pipeline operation and maintenance work order distribution system, applicable to the pipeline operation and maintenance work order distribution method according to claim 1, characterized in that: It includes a business rule module, a work order creation and allocation module, a dynamic adjustment module and a load balancing module, wherein the work order creation and allocation module is connected to the business rule module, the dynamic adjustment module is connected to the business rule module, and the load balancing module is connected to the work order creation and allocation module; The business rules module is used to design and store business rules; The work order creation and allocation module is used to obtain business content, automatically create work orders according to preset business rules and business content, and allocate work orders to appropriate processing personnel; The dynamic adjustment module is used to dynamically adjust the preset business rules according to real-time data feedback; The load balancing module is used to monitor the workload of processing personnel in real time and dynamically adjust the work order allocation according to the real-time load situation.

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