Distributed household photovoltaic work order processing system and use method thereof

Abstract

The invention discloses a distributed household photovoltaic work order processing system and a use method thereof, and belongs to the technical field of photovoltaic work order processing. The system is provided with a work order management module, and through an intelligent distribution algorithm of a task scheduling module, the system can perform intelligent distribution according to factors such as skills, positions and task loads of engineers; and the work order is automatically allocated to the most suitable engineer. The intelligent distribution not only improves the work order processing efficiency, but also ensures that the engineers can efficiently process the work orders distributed to the engineers. And the engineer operation module allows an engineer to update a work order state in real time, records used parts and equipment, and ensures transparency and traceability of a work order processing process. The data analysis and report module is an important part of the system, generates various statistical reports by analyzing work order data, and provides decision support for a management layer. And common fault reasons can be identified by analyzing the fault type distribution system, so that engineers are guided to perform more effective fault prevention and processing.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic work order processing, and specifically relates to a distributed household photovoltaic work order processing system and a use method thereof. Background Art

[0002] Distributed household photovoltaic is a green energy solution that installs photovoltaic power generation systems on family homes or other buildings to achieve self-generation and self-use, and surplus power is connected to the grid. It has the characteristics of flexible installation, high return on investment, and significant environmental benefits. It is gradually becoming an important way for my country to promote energy transformation and achieve sustainable development. Distributed household photovoltaic systems are composed of photovoltaic modules, inverters, brackets, cables, etc. Photovoltaic modules convert solar energy into electrical energy, and inverters convert direct current into alternating current to meet household electricity needs. Brackets are used to fix photovoltaic modules to ensure their stable operation. Distributed household photovoltaic systems can be installed on roofs, balconies, walls and other locations to make full use of building space. By installing distributed household photovoltaic systems, users can enjoy the following advantages: first, reduce electricity bills and achieve self-sufficiency in household electricity; second, surplus power is connected to the grid, and the surplus electricity is sold to the grid to obtain additional income; third, energy conservation and emission reduction, reduce carbon dioxide emissions, and help my country's green development; fourth, extend the service life of buildings. Photovoltaic modules have functions such as shading and heat insulation. Therefore, it is necessary to issue work orders during the installation process.

[0003] However, traditional work order allocation methods may rely on manual judgment, which may lead to excessive workload for some engineers and insufficient work for other engineers, affecting overall work efficiency. At the same time, the failure to identify failure modes and causes through data analysis leads to insufficient failure prevention measures, increased maintenance costs and user inconvenience. Summary of the invention

[0004] The purpose of the present invention is to provide a distributed household photovoltaic work order processing system and a method for using the system in order to solve the above-mentioned problems.

[0005] The technical solution adopted by the present invention is as follows: a distributed household photovoltaic work order processing system, the system comprising: a user request access module, a work order management module, a task scheduling module, an engineer operation module, an inventory management module, a data analysis and reporting module and a system management module;

[0006] The work order management module includes: a work order receiving submodule, a work order allocation submodule, a work order tracking submodule, a work order history recording submodule and a work order exception handling submodule;

[0007] The user submits a work order through the user request access module; the work order management module receives and processes the work order submitted by the user;

[0008] The work order management module sends new work orders to the task scheduling module; the task scheduling module assigns work orders based on the availability and skills of engineers; the task scheduling module sends the assigned work order information to the operation module of the corresponding engineer; the system receives the work order through the operation module, performs on-site operations, and feedbacks the work order processing results; the operation module records the parts and equipment used; the work order management module sends the completed work order data to the data analysis module; the data analysis and reporting module generates work order processing efficiency and fault type statistical reports;

[0009] The system management module is responsible for maintaining the operation of the entire system, including user authority allocation, data security, and system configuration; the operation logs and important data of each module are regularly backed up to the system management module;

[0010] The inventory management module regularly provides inventory data to the data analysis module; the data analysis and reporting module analyzes inventory usage to provide support for purchasing decisions.

[0011] In a preferred embodiment, the user request access module is the entrance to the distributed household photovoltaic work order processing system, which is responsible for receiving user requests and guiding users to complete work order submission; the specific operation method flow of this module is as follows: the user logs in to the system through a web page or mobile application, selects the service type according to needs, and fills in detailed work order information, including problem description, location information, and expected resolution time; after submission, the system will conduct a preliminary review of the work order to ensure the completeness and accuracy of the information, and then forward the work order to the work order management module for processing.

[0012] In a preferred embodiment, the work order receiving submodule receives the work order submitted by the user, performs preliminary classification and priority marking on the work order, and the calculation formula of the urgency identifier inside the work order receiving submodule is:

[0013] UrgencyScore=w1*SeverityScore+w2*TimeSinceSubmission+w3*CustomerImpactScore;

[0014] Among them: UrgencyScore represents the urgency score;

[0015] SeverityScore indicates the severity score of the problem, 1 means very serious and 0 means not serious;

[0016] TimeSinceSubmission indicates the time since the work order was submitted;

[0017] CustomerImpactScore represents the score of impact on customers;

[0018] w1, w2, w3 represent weight coefficients;

[0019] The work order allocation submodule allocates the work order to the most suitable engineer based on the engineer's skills, position, and task load factors. The engineer matching score calculation formula is:

[0020] MatchScore=w1*SkillScore+w2*DistanceScore+w3*LoadScore;

[0021] Where: MatchScore represents the engineer matching score;

[0022] SkillScore represents the engineer's skill matching score;

[0023] DistanceScore represents the distance score between the engineer and the work order location;

[0024] LoadScore indicates the current task load score of the engineer;

[0025] w1, w2, and w3 represent weight coefficients, which are set according to the company's allocation strategy.

[0026] In a preferred embodiment, the work order tracking submodule updates the work order status in real time and allows the user to provide feedback on the work order processing process. The status update formula is: Status = f(T, A, C)

[0027] Among them, Status indicates the current status of the work order; T indicates the work order type; A indicates the engineer's operation, including arriving at the site, starting work, and completing work; C indicates user feedback; f indicates the status update function, which updates the work order status according to the engineer's operation and user feedback;

[0028] The work order history submodule archives completed work orders and analyzes historical data to optimize the work order processing flow. The average processing time is calculated as follows:

[0029] AvgProcessingTime=(ΣProcessingTime(n)) / N

[0030] Where: AvgProcessingTime represents the average processing time; ProcessingTime(n) represents the processing time of the nth work order; N represents the total number of work orders; Σ represents the summation symbol;

[0031] The work order exception handling submodule monitors the abnormal situation during the work order processing and takes response measures. The abnormality detection formula is:

[0032] Anomaly=(T>T_threshold)OR(E>E_threshold);

[0033] Anomaly indicates anomaly flag, 1 indicates anomaly, and 0 indicates normal; T indicates the work order processing time; T_threshold indicates the processing time threshold; E indicates the number of work order processing errors; E_threshold indicates the error number threshold; OR indicates the logical OR operator.

[0034] In a preferred embodiment, the task scheduling module intelligently allocates work orders to the most suitable engineer based on the urgency of the work order, the engineer's skills, location and load factors; its operating process is as follows: the module receives work orders from the work order management module, calculates the matching score of each engineer through an intelligent allocation algorithm, and then allocates the work order to the engineer with the highest score; if an engineer is unable to accept the order, the module will reallocate the work order to ensure that each work order is processed in a timely manner.

[0035] In a preferred embodiment, the engineer operation module is used by field engineers to receive, update and complete work orders; the engineer logs into the system, views the list of work orders assigned to him / her, selects a work order and updates the status; the engineer also needs to record the parts and equipment used, as well as any abnormal situations in the system; upon completion, the system will automatically update the work order status to "completed" and wait for user confirmation.

[0036] In a preferred embodiment, the inventory management module is responsible for managing the inventory information of all equipment, parts and tools in the system; the module records all in-and-out operations, including purchasing, issuance and return; the system regularly checks the inventory level and issues an early warning when the inventory falls below a preset threshold; in addition, the module also supports inventory data query and report generation to help managers make inventory planning and purchasing decisions.

[0037] In a preferred embodiment, the data analysis and reporting module generates various statistical reports by analyzing work order data to provide decision support for management; the operation process is: the module extracts data from the work order history records, performs data cleaning and preprocessing, and then uses statistical analysis methods to process time and fault type distribution to generate a report.

[0038] In a preferred embodiment, the system management module is responsible for the configuration, maintenance and security management of the entire system; the administrator uses this module to configure user permissions, back up and restore data, and set system parameters; in addition, the system management module also monitors the operating status of the system to ensure that the system is stable and reliable, and audits user operations to ensure system security.

[0039] In a preferred embodiment, the method of use comprises the following steps:

[0040] S1. The user logs in to the system through the user request access module, fills in and submits the work order, and the system automatically classifies and identifies the urgency;

[0041] S2. The work order management module receives the work orders submitted by users, processes the work orders through the automatic classification engine and urgency identifier, and prepares to assign them to engineers;

[0042] S3. The task scheduling module intelligently assigns work orders to the most suitable engineers based on the urgency of the work order and the qualifications of the engineer;

[0043] S4. The engineer receives the work order in the engineer operation module, updates the work order status, records the work process, and submits the work order after completing the work;

[0044] S5. The work order tracking submodule of the work order management module updates the work order status in real time, collects feedback from users and engineers, and ensures service quality and response speed;

[0045] S6. The inventory management module synchronously updates the parts and equipment information used by engineers and issues warnings when inventory is insufficient to maintain inventory balance;

[0046] S7. The data analysis and reporting module regularly analyzes work order data, generates reports, and provides decision support and process optimization suggestions for management;

[0047] S8. The system management module is responsible for the maintenance and security management of the entire system, including user authority configuration, data backup and system parameter settings, to ensure the system is stable and reliable.

[0048] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0049] 1. In the present invention, the system is provided with a work order management module. Through the intelligent allocation algorithm of the task scheduling module, the system can automatically allocate work orders to the most suitable engineers according to factors such as the engineer's skills, location, task load, etc. This intelligent allocation not only improves the efficiency of work order processing, but also ensures that engineers can efficiently process the work orders assigned to them. At the same time, the engineer operation module allows engineers to update the work order status in real time and record the parts and equipment used to ensure the transparency and traceability of the work order processing process. This intelligent work order processing method greatly improves the system's response speed and the accuracy of work order processing, thereby improving user satisfaction.

[0050] 2. In the present invention, the data analysis and reporting module is an important part of the system. It generates various statistical reports by analyzing the work order data to provide decision support for the management. These reports include key indicators such as work order processing efficiency and fault type distribution, which help the management to identify bottlenecks in the service, optimize the work order processing process, and improve the service quality. For example, by analyzing the distribution of fault types, the system can identify common causes of failures, thereby guiding engineers to prevent and handle faults more effectively. In addition, by regularly providing inventory data to the data analysis module through the inventory management module, the system can analyze inventory usage, provide support for procurement decisions, avoid insufficient or excessive inventory, and ensure the stability and efficiency of system operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is the overall system block diagram of the present invention;

[0052] Figure 2 This is a system block diagram of the work order management module in the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0054] Reference Figure 1-2 ,

[0055] A distributed household photovoltaic work order processing system, the system includes: a user request access module, a work order management module, a task scheduling module, an engineer operation module, an inventory management module, a data analysis and reporting module and a system management module;

[0056] The work order management module includes: work order receiving submodule, work order allocation submodule, work order tracking submodule, work order history submodule and work order exception handling submodule;

[0057] Users submit work orders through the user request access module. The work order management module receives and processes the work orders submitted by users.

[0058] The work order management module sends new work orders to the task scheduling module. The task scheduling module assigns work orders based on the availability and skills of engineers. The task scheduling module sends the assigned work order information to the operation module of the corresponding engineer. The system receives the work order through the operation module, performs on-site operations, and feedbacks the work order processing results. The operation module records the parts and equipment used. The work order management module sends the completed work order data to the data analysis module. The data analysis and reporting module generates statistical reports such as work order processing efficiency and fault types.

[0059] The system management module is responsible for maintaining the operation of the entire system, including user authority allocation, data security, and system configuration. The operation logs and important data of each module are regularly backed up to the system management module.

[0060] The inventory management module regularly provides inventory data to the data analysis module. The data analysis and reporting module analyzes inventory usage and provides support for purchasing decisions.

[0061] The user request access module is the entrance to the distributed household photovoltaic work order processing system, which is responsible for receiving user requests and guiding users to complete work order submission. The specific operation method of this module is as follows: the user logs in to the system through a web page or mobile application, selects the service type (such as installation, maintenance, consultation, etc.) according to the needs, and fills in detailed work order information, including problem description, location information, expected resolution time, etc. After submission, the system will conduct a preliminary review of the work order to ensure the completeness and accuracy of the information, and then forward the work order to the work order management module for processing.

[0062] The work order receiving submodule receives the work orders submitted by users, performs preliminary classification and priority marking on the work orders. The calculation formula of the urgency identifier inside the work order receiving submodule is:

[0063] UrgencyScore=w1*SeverityScore+w2*TimeSinceSubmission+w3*CustomerImpactScore;

[0064] Among them: UrgencyScore represents the urgency score;

[0065] SeverityScore represents the problem severity score (e.g., 1 for very serious and 0 for not serious);

[0066] TimeSinceSubmission indicates the time (in hours) since the work order was submitted;

[0067] CustomerImpactScore represents the score of the impact on customers (e.g., 1 represents a large impact and 0 represents no impact);

[0068] w1, w2, w3 represent weight coefficients;

[0069] The work order allocation submodule allocates work orders to the most suitable engineer based on factors such as the engineer's skills, location, and task load. The engineer matching score calculation formula is:

[0070] MatchScore=w1*SkillScore+w2*DistanceScore+w3*LoadScore;

[0071] Where: MatchScore represents the engineer matching score;

[0072] SkillScore represents the engineer's skill matching score (based on the matching degree between the engineer's skills and the work order requirements);

[0073] DistanceScore represents the distance score between the engineer and the work order location (the closer the distance, the higher the score);

[0074] LoadScore indicates the engineer's current task load score (the lower the load, the higher the score)

[0075] w1, w2, w3 represent weight coefficients, which are set according to the company's allocation strategy

[0076] The work order tracking submodule updates the work order status in real time and allows users to provide feedback on the work order processing process. The status update formula is: Status = f(T, A, C)

[0077] Among them, Status represents the current status of the work order; T represents the work order type; A represents the engineer's operation (for example, arriving at the site, starting work, completing work); C represents the user feedback (for example, satisfied, dissatisfied); f represents the status update function, which updates the work order status according to the engineer's operation and user feedback;

[0078] The work order history submodule archives completed work orders and analyzes historical data to optimize the work order processing process. The average processing time is calculated as:

[0079] AvgProcessingTime=(ΣProcessingTime(n)) / N

[0080] Where: AvgProcessingTime represents the average processing time; ProcessingTime(n) represents the processing time of the nth work order; N represents the total number of work orders; Σ represents the summation symbol;

[0081] The work order exception handling submodule monitors the abnormal situation during the work order processing and takes response measures. The abnormality detection formula is:

[0082] Anomaly=(T>T_threshold)OR(E>E_threshold);

[0083] Anomaly indicates anomaly (1 indicates anomaly, 0 indicates normal); T indicates the work order processing time; T_threshold indicates the processing time threshold; E indicates the number of work order processing errors;

[0084] E_threshold indicates the error count threshold; OR indicates the logical OR operator

[0085] Through the above algorithm formula, each sub-module can effectively perform its function and ensure the smooth operation and optimization of the work order processing system.

[0086] The task scheduling module intelligently assigns work orders to the most suitable engineers based on factors such as the urgency of the work order, the engineer's skills, location, and load. Its operation process is as follows: the module receives work orders from the work order management module, calculates the matching score of each engineer through the intelligent allocation algorithm, and then assigns the work order to the engineer with the highest score. If an engineer is unable to accept the order, the module will reallocate the work order to ensure that each work order can be processed in a timely manner.

[0087] The Engineer Operations module is used by field engineers to receive, update, and complete work orders. The operation process is as follows: the engineer logs in to the system, views the list of work orders assigned to him / her, selects a work order, and updates the status (such as "departure", "arrival on site", "start work", "complete work", etc.). The engineer also needs to record the parts and equipment used, as well as any abnormalities in the system. Once completed, the system automatically updates the work order status to "completed" and waits for user confirmation.

[0088] The inventory management module is responsible for managing the inventory information of all equipment, parts and tools in the system. Its operation process is as follows: the module records all inbound and outbound operations, including purchases, withdrawals, returns, etc. The system will regularly check the inventory level and issue an early warning when the inventory falls below the preset threshold. In addition, the module also supports inventory data query and report generation to help managers with inventory planning and purchasing decisions.

[0089] The data analysis and reporting module generates various statistical reports by analyzing work order data to provide decision support for management. Its operation process is as follows: the module extracts data from work order history records, performs data cleaning and preprocessing, and then generates reports using statistical analysis methods, such as average processing time, fault type distribution, etc. These reports help identify bottlenecks in the service, optimize the work order processing process, and improve service quality.

[0090] The system management module is responsible for the configuration, maintenance and security management of the entire system. Its operation process includes: the administrator uses this module to configure user permissions, backup and restore data, set system parameters, and other operations. In addition, the system management module also monitors the operating status of the system to ensure that the system is stable and reliable, and audits user operations to ensure system security. When a problem occurs in the system, the administrator can use this module to troubleshoot and repair the problem.

[0091] In the present invention, the system is provided with a work order management module. Through the intelligent allocation algorithm of the task scheduling module, the system can automatically allocate work orders to the most suitable engineers according to factors such as the engineer's skills, location, task load, etc. This intelligent allocation not only improves the efficiency of work order processing, but also ensures that engineers can efficiently process the work orders assigned to them. At the same time, the engineer operation module allows engineers to update the work order status in real time and record the parts and equipment used to ensure the transparency and traceability of the work order processing process. This intelligent work order processing method greatly improves the system's response speed and the accuracy of work order processing, thereby improving user satisfaction.

[0092] In the present invention, the data analysis and reporting module is an important part of the system. It generates various statistical reports by analyzing the work order data to provide decision support for the management. These reports include key indicators such as work order processing efficiency and fault type distribution, which help the management to identify bottlenecks in the service, optimize the work order processing process, and improve the service quality. For example, by analyzing the distribution of fault types, the system can identify common causes of failures, thereby guiding engineers to prevent and handle faults more effectively. In addition, by regularly providing inventory data to the data analysis module through the inventory management module, the system can analyze inventory usage, provide support for procurement decisions, avoid insufficient or excessive inventory, and ensure the stability and efficiency of system operations.

[0093] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0094] The above description enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A distributed household photovoltaic work order processing system, characterized by: The system includes: a user request access module, a work order management module, a task scheduling module, an engineer operation module, an inventory management module, a data analysis and reporting module and a system management module; The work order management module includes: a work order receiving submodule, a work order allocation submodule, a work order tracking submodule, a work order history recording submodule and a work order exception handling submodule; The user submits a work order through the user request access module; the work order management module receives and processes the work order submitted by the user; The work order management module sends new work orders to the task scheduling module; the task scheduling module assigns work orders based on the availability and skills of engineers; the task scheduling module sends the assigned work order information to the operation module of the corresponding engineer; the system receives the work order through the operation module, performs on-site operations, and feedbacks the work order processing results; the operation module records the parts and equipment used; the work order management module sends the completed work order data to the data analysis module; the data analysis and reporting module generates work order processing efficiency and fault type statistical reports; The system management module is responsible for maintaining the operation of the entire system, including user authority allocation, data security, and system configuration; the operation logs and important data of each module are regularly backed up to the system management module; The inventory management module regularly provides inventory data to the data analysis module; the data analysis and reporting module analyzes inventory usage to provide support for purchasing decisions.

2. A distributed household photovoltaic work order processing system as claimed in claim 1, characterized in that: The user request access module is the entrance to the distributed household photovoltaic work order processing system, which is responsible for receiving user requests and guiding users to complete work order submission; the specific operation method flow of this module is as follows: the user logs in to the system through a web page or mobile application, selects the service type according to needs, and fills in detailed work order information, including problem description, location information, and expected resolution time; after submission, the system will conduct a preliminary review of the work order to ensure the completeness and accuracy of the information, and then forward the work order to the work order management module for processing.

3. A distributed household photovoltaic work order processing system as claimed in claim 1, characterized in that: The work order receiving submodule receives the work order submitted by the user, performs preliminary classification and priority marking on the work order, and the calculation formula of the urgency identifier inside the work order receiving submodule is: UrgencyScore=w1*SeverityScore+w2*TimeSinceSubmission+w3*CustomerImpactScore; Among them: UrgencyScore represents the urgency score; SeverityScore indicates the severity score of the problem, 1 means very serious and 0 means not serious; TimeSinceSubmission indicates the time since the work order was submitted; CustomerImpactScore represents the score of impact on customers; w1, w2, w3 represent weight coefficients; The work order allocation submodule allocates the work order to the most suitable engineer based on the engineer's skills, position, and task load factors. The engineer matching score calculation formula is: MatchScore=w1*SkillScore+w2*DistanceScore+w3*LoadScore; Where: MatchScore represents the engineer matching score; SkillScore represents the engineer's skill matching score; DistanceScore represents the distance score between the engineer and the work order location; LoadScore indicates the current task load score of the engineer; w1, w2, and w3 represent weight coefficients, which are set according to the company's allocation strategy.

4. A distributed household photovoltaic work order processing system as claimed in claim 1, characterized in that: The work order tracking submodule updates the work order status in real time and allows the user to provide feedback on the work order processing process. The status update formula is: Status = f(T, A, C); Among them, Status indicates the current status of the work order; T indicates the work order type; A indicates the engineer's operation, including arriving at the site, starting work, and completing work; C indicates user feedback; f indicates the status update function, which updates the work order status according to the engineer's operation and user feedback; The work order history submodule archives completed work orders and analyzes historical data to optimize the work order processing flow. The average processing time is calculated as follows: AvgProcessingTime=(ΣProcessingTime(n)) / N Where: AvgProcessingTime represents the average processing time; ProcessingTime(n) represents the processing time of the nth work order; N represents the total number of work orders; Σ represents the summation symbol; The work order exception handling submodule monitors the abnormal situation during the work order processing and takes response measures. The abnormality detection formula is: Anomaly=(T>T_threshold)OR(E>E_threshold); Anomaly indicates anomaly flag, 1 indicates anomaly, and 0 indicates normal; T indicates the work order processing time; T_threshold indicates the processing time threshold; E indicates the number of work order processing errors; E_threshold indicates the error number threshold; OR indicates the logical OR operator.

5. A distributed household photovoltaic work order processing system as claimed in claim 1, characterized in that: The task scheduling module intelligently allocates work orders to the most suitable engineer based on the urgency of the work order, the engineer's skills, location and load factors; its operating process is as follows: the module receives work orders from the work order management module, calculates the matching score of each engineer through an intelligent allocation algorithm, and then allocates the work order to the engineer with the highest score; if an engineer is unable to accept the order, the module will reallocate the work order to ensure that each work order can be processed in a timely manner.

6. A distributed household photovoltaic work order processing system as claimed in claim 1, characterized in that: The engineer operation module is used by field engineers to receive, update and complete work orders; engineers log in to the system, view the list of work orders assigned to them, select work orders and update the status; engineers also need to record the parts and equipment used, as well as any abnormal situations in the system; after completion, the system will automatically update the work order status to "completed" and wait for user confirmation.

7. A distributed household photovoltaic work order processing system as claimed in claim 1, characterized in that: The inventory management module is responsible for managing the inventory information of all equipment, parts and tools in the system; the module records all inbound and outbound operations, including purchases, withdrawals and returns; the system regularly checks inventory levels and issues warnings when inventory falls below a preset threshold; In addition, the module also supports inventory data query and report generation to help managers make inventory planning and purchasing decisions.

8. A distributed household photovoltaic work order processing system as claimed in claim 1, characterized in that: The data analysis and reporting module generates various statistical reports by analyzing work order data to provide decision support for management. The operation process is as follows: the module extracts data from work order history records, performs data cleaning and preprocessing, and then uses statistical analysis methods to process time and fault type distribution to generate reports.

9. A distributed household photovoltaic work order processing system as claimed in claim 1, characterized in that: The system management module is responsible for the configuration, maintenance and security management of the entire system; the administrator uses this module to perform user authority configuration, data backup and recovery, and system parameter setting operations; In addition, the system management module also monitors the system's operating status to ensure that the system is stable and reliable, and audits user operations to ensure system security.

10. A distributed household photovoltaic work order processing system and a method for using the same as claimed in claim 1, characterized in that: The method of use comprises the following steps: S1. The user logs in to the system through the user request access module, fills in and submits the work order, and the system automatically classifies and identifies the urgency; S2. The work order management module receives the work orders submitted by users, processes the work orders through the automatic classification engine and urgency identifier, and prepares to assign them to engineers; S3. The task scheduling module intelligently assigns work orders to the most suitable engineers based on the urgency of the work order and the qualifications of the engineer; S4. The engineer receives the work order in the engineer operation module, updates the work order status, records the work process, and submits the work order after completing the work; S5. The work order tracking submodule of the work order management module updates the work order status in real time, collects feedback from users and engineers, and ensures service quality and response speed; S6. The inventory management module synchronously updates the parts and equipment information used by engineers and issues warnings when inventory is insufficient to maintain inventory balance; S7. The data analysis and reporting module regularly analyzes work order data, generates reports, and provides decision support and process optimization suggestions for management; S8. The system management module is responsible for the maintenance and security management of the entire system, including user authority configuration, data backup and system parameter settings, to ensure the system is stable and reliable.

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