Household appliance maintenance processing platform for resident service based on big data processing

Abstract

The invention discloses a household appliance maintenance processing platform for resident service based on big data processing, and the platform comprises a user module which is mainly used for transmitting a maintenance request through a mobile phone and other terminals, uploading the maintenance request to a server module for queuing processing, and feeding back a maintenance result to a maintenance result module; the server module receives and processes the maintenance order information and the maintenance personnel information; the distribution module is mainly used for analyzing and processing the maintenance order information based on the data processed by the information data processing unit and matching maintenance personnel; the maintenance personnel module is mainly used for receiving and processing the maintenance order distributed by the distribution module and sending a maintenance result to the maintenance result module; and the maintenance result module is used for receiving maintenance order results of the user and the maintenance personnel and carrying out matching to judge whether the maintenance order is completed or not. The method has the advantages that by means of multi-module cooperation, workloads are calculated in combination with skills and time, orders are reasonably distributed, and efficient service and resource optimization are guaranteed.

Description

Technical Field

[0001] The present invention relates to big data processing, and particularly to a home appliance maintenance and repair processing platform for residential services based on big data processing. Background Art

[0002] With the improvement of residents' living standards, home appliances are used more and more widely in daily life. Various home appliances such as refrigerators, air conditioners, washing machines, etc. have become an indispensable part of residents' lives. However, faults are inevitable during the use of home appliances, and timely and effective maintenance services are required. The traditional home appliance maintenance and repair mode mostly relies on users to find repair shops offline or call the manufacturer's after-sales phone, with a cumbersome process and low efficiency. At the same time, maintenance personnel often rely on experience to judge faults, lacking accuracy. The advent of the big data era brings new opportunities for home appliance maintenance and repair. This platform can integrate various resources, optimize the dispatch and scheduling of maintenance personnel, provide intelligent technical support and online solutions, reduce the waiting time of users, and improve service quality. Through the continuous accumulation and optimization of big data, the platform continuously improves its service system, promoting the modern transformation of the home appliance maintenance and repair industry.

[0003] There are various maintenance and repair methods for home appliance maintenance and repair platforms currently on the market, mainly including regular inspections, online appointment services, and extended warranty services, etc. These methods are particularly applicable to home appliance products and can reduce the expenditure on repair costs. In addition, with the progress of technology, some home appliances also support remote diagnosis and automatic repair, and can detect and handle faults in a timely manner through an intelligent detection system. With the popularization of smart home appliances, many home appliance brands have launched online appointment services, and consumers can easily make an appointment for maintenance personnel to come to their homes through the brand's official website or APP, saving time and energy. However, there are still problems of resource waste or excessive workload in the allocation and scheduling of maintenance personnel. Summary of the Invention

[0004] In order to improve the existing home appliance maintenance and repair processing platform, a home appliance maintenance and repair processing platform for residential services based on big data processing is provided. This method intelligently matches maintenance personnel based on data, calculates the workload reasonably according to skills and time, and distributes orders effectively, which can effectively improve service quality and user experience. At the same time, the data-driven mode also enhances the adaptability and scientificity of the system.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] A home appliance maintenance and repair processing platform for residential services based on big data processing, characterized by including:

[0007] User module: The user module is mainly used to send maintenance requests through terminals such as mobile phones and upload them to the server module for queuing processing, and feedback the maintenance results to the maintenance result module;

[0008] Server module: The server module is mainly used to receive maintenance order information and maintenance personnel information and process them;

[0009] Allocation module: The allocation module is mainly used to analyze and process the maintenance order information based on the data processed by the information data processing unit, and match maintenance personnel;

[0010] Maintenance personnel module: The maintenance personnel module is mainly used to receive the maintenance orders assigned by the allocation module for processing, and send the maintenance results to the maintenance result module;

[0011] Maintenance result module: The maintenance result module is mainly used to receive the maintenance order results of users and maintenance personnel, and perform matching to determine whether the maintenance order is completed;

[0012] Database module: The database module is mainly used to store maintenance order information and current maintenance personnel information.

[0013] Preferably, the user module specifically includes:

[0014] The user sends a maintenance request through a terminal such as a mobile phone and uploads it to the server module for queuing processing;

[0015] The maintenance result is fed back to the maintenance result module.

[0016] Preferably, the server module specifically includes:

[0017] Reservation unit: The reservation unit is mainly used to receive the maintenance order information input by the user at the user end, sort it, and send the maintenance order information to the information data processing unit;

[0018] Information data processing unit: The information data processing unit is mainly used to obtain the maintenance order information and current maintenance personnel information sent by the reservation unit, and integrate and send the data to the allocation module.

[0019] Preferably, the information data processing unit specifically includes:

[0020] The maintenance order information includes the remaining time of the user's reserved maintenance, the maintenance duration information, and the maintenance amount information;

[0021] The maintenance personnel information includes skill information and status information;

[0022] The skill information includes the maintenance processing ability of the maintenance personnel;

[0023] The status information includes the real-time working status of the maintenance personnel and the remaining working hours of the maintenance personnel;

[0024] Extract the order confirmation time point and appointment time point of the maintenance order information, and calculate the remaining time value of the appointment maintenance based on the order confirmation time point and the appointment time point;

[0025] Retrieve the maintenance problem information in the maintenance order information, and obtain the skill information required for maintenance based on the maintenance problem information;

[0026] Transmit the matched and sorted maintenance order information and maintenance personnel information to the allocation module for subsequent task scheduling and personnel allocation.

[0027] Preferably, the real-time working status of the maintenance personnel and the remaining working hours of the maintenance personnel specifically include:

[0028] The real-time working status of the maintenance personnel includes the working status and the non-working status;

[0029] If the maintenance personnel are in the non-working state, the remaining working hours of the maintenance personnel are zero, and the information distribution unit directly distributes the maintenance order information to the maintenance personnel;

[0030] If the maintenance personnel are in the working state, the remaining working hours of the maintenance personnel are the sum of the remaining duration of the current maintenance order and the total duration of the remaining allocated maintenance orders.

[0031] Preferably, the allocation module specifically includes:

[0032] A skill matching unit, which is mainly used to match the maintenance skills of the maintenance personnel;

[0033] A time matching unit, which is mainly used to match the maintenance time of the maintenance personnel;

[0034] Obtain the skill information required for maintenance based on the maintenance information of the maintenance order, and obtain the maintenance personnel matching the skill information based on the required skill information;

[0035] Obtain the real-time working status and real-time location of the maintenance personnel, and calculate the distance of the maintenance personnel from each maintenance order;

[0036] Based on the obtained order and personnel information, calculate the work load of each maintenance personnel through the load balancing formula;

[0037] Based on the maintenance order information, the work load, remaining working hours and real-time location of the maintenance personnel, perform weighted calculations, and comprehensively evaluate to obtain the most suitable maintenance personnel for maintenance order allocation.

[0038] Preferably, the allocation of the maintenance order through the load balancing formula based on the obtained order and personnel information specifically includes:

[0039] The load balancing formula is as follows:

[0040]

[0041] Among them, Load(P j ) is the total workload of maintenance personnel P j , Duration(O i ) is the working time required for maintenance order O i , Match(P j , O i ) indicates whether the maintenance skills of the maintenance personnel match, and Availability(P j , O i ) indicates whether the maintenance personnel P j has free time within the time window of order O i .

[0042] Preferably, based on the maintenance order information, the workload of maintenance personnel, the remaining working hours, and the real-time positioning, weighted calculation is performed, and the most suitable maintenance personnel are obtained through comprehensive evaluation for maintenance order allocation, which specifically includes:

[0043] Based on the location information of the maintenance order and the current location of the maintenance personnel, calculate the distance between the two, and the formula is:

[0044]

[0045] Among them, Δx and Δy are the differences in longitude and latitude distances between the two positions, and the ratio of the longitude and latitude difference converted to kilometers is 1:111;

[0046] Based on the obtained workload Load(P j ), remaining working hours T, and the distance L between the maintenance order location and the maintenance personnel, normalization processing is performed;

[0047] Based on the data after normalization processing, through the comprehensive scoring calculation formula, obtain the fitness of each maintenance personnel for the maintenance order, and the formula is:

[0048] S = ω 1 ·Load(P j ) + ω 2 ·T + ω 3 ·L

[0049] Based on the calculated fitness of each maintenance personnel for the maintenance order, allocate the most suitable maintenance personnel for each maintenance order.

[0050] Preferably, the maintenance personnel module specifically includes:

[0051] Process the maintenance order assigned by the receiving and distribution module;

[0052] Send the maintenance result to the maintenance result module.

[0053] Preferably, the maintenance result module specifically includes:

[0054] The maintenance personnel obtain the maintenance order and confirm the maintenance order information, and confirm the maintenance amount information;

[0055] The maintenance amount information includes the total amount reserved by the user for maintenance and the maintenance commission of the maintenance personnel;

[0056] The maintenance personnel complete the maintenance order information and confirm it;

[0057] The maintenance result module feeds back the confirmation information to the user side;

[0058] The user confirms the maintenance result through the user side, and the maintenance result module confirms the end of the maintenance order.

[0059] Compared with the prior art, the advantages of the present invention are as follows:

[0060] From the user's perspective, the convenience is greatly improved. The user only needs to send a maintenance request on a terminal such as a mobile phone, and it can be quickly uploaded to the server for queuing and processing, without cumbersome offline processes, saving a lot of time and energy. From the distribution level, the distribution module is highly intelligent. It analyzes the maintenance order information in depth based on the data processed by the information data processing unit, and accurately matches the maintenance personnel. By matching the skills of the maintenance personnel and the maintenance time, scientifically calculating their workload, and reasonably distributing the orders, it not only ensures the efficient completion of the maintenance work, but also avoids overloading the personnel, realizing the optimal allocation of resources. From the overall process, a complete closed loop is formed. From the request initiation, order processing, personnel allocation, execution to result feedback and judgment, each module closely cooperates to ensure the orderly progress of each link, effectively improving the service quality and user experience. At the same time, the data-driven mode also enhances the adaptability and scientificity of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a schematic diagram of the overall system process of the system proposed by the present invention;

[0062] Figure 2 It is a user module diagram of the system proposed by the present invention;

[0063] Figure 3 It is a server module diagram of the system proposed by the present invention;

[0064] Figure 4 It is an information data processing unit diagram of the system proposed by the present invention;

[0065] Figure 5 The working status time diagram of the system proposed by the present invention;

[0066] Figure 6 The allocation module diagram of the system proposed by the present invention;

[0067] Figure 7 The schematic diagram of the allocation formula of the system proposed by the present invention;

[0068] Figure 8 The adaptability calculation diagram of the system proposed by the present invention;

[0069] Figure 9 The maintenance personnel module diagram of the system proposed by the present invention;

[0070] Figure 10 The maintenance result module diagram of the system proposed by the present invention. Detailed implementation manners

[0071] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0072] Refer to Figure 1 As shown, a home appliance maintenance processing platform for residential services based on big data processing includes:

[0073] User module: The user module is mainly used to send maintenance requests through terminals such as mobile phones to the server module for queuing processing, and feedback the maintenance results to the maintenance result module;

[0074] Server module: The server module is mainly used to receive maintenance order information and maintenance personnel information and process them;

[0075] Allocation module: The allocation module is mainly used to analyze and process the maintenance order information based on the data processed by the information data processing unit, and match maintenance personnel;

[0076] Maintenance personnel module: The maintenance personnel module is mainly used to receive the maintenance orders assigned by the allocation module for processing, and send the maintenance results to the maintenance result module;

[0077] Maintenance result module: The maintenance result module is mainly used to receive the maintenance order results of users and maintenance personnel, and perform matching to determine whether the maintenance order is completed;

[0078] Database module: The database module is mainly used to store maintenance order information and current maintenance personnel information.

[0079] Refer to Figure 2 As shown, the user module specifically includes:

[0080] The user sends a maintenance request through a terminal such as a mobile phone and uploads it to the server module for queuing processing;

[0081] The maintenance result is fed back to the maintenance result module.

[0082] Refer to Figure 3 As shown, the server module specifically includes:

[0083] A reservation unit, which is mainly used to receive the maintenance order information input by the user at the user end, sort it, and send the maintenance order information to the information data processing unit;

[0084] An information data processing unit, which is mainly used to obtain the maintenance order information sent by the reservation unit and the current maintenance personnel information, and integrate and send the data to the allocation module.

[0085] Refer to Figure 4 As shown, the information data processing unit specifically includes:

[0086] The maintenance order information includes the remaining time value of the user's reserved maintenance, the maintenance duration information, and the maintenance amount information;

[0087] The maintenance personnel information includes skill information and status information;

[0088] The skill information includes the maintenance processing ability of the maintenance personnel;

[0089] The status information includes the real-time working status of the maintenance personnel and the remaining working hours of the maintenance personnel;

[0090] Extract the order confirmation time point and the reservation time point of the maintenance order information, and calculate the remaining time value of the reserved maintenance based on the order confirmation time point and the reservation time point;

[0091] Retrieve the maintenance problem information in the maintenance order information, and obtain the required skill information based on the maintenance problem information;

[0092] Transfer the matched and sorted maintenance order information and maintenance personnel information to the allocation module for subsequent task scheduling and personnel allocation.

[0093] Refer to Figure 5 As shown, the real-time working status of the maintenance personnel and the remaining working hours of the maintenance personnel specifically include:

[0094] The real-time working status of the maintenance personnel includes the working status and the non-working status;

[0095] If the maintenance personnel is in the non-working status, the remaining working hours of the maintenance personnel is zero, and the information distribution unit directly distributes the maintenance order information to the maintenance personnel;

[0096] If the maintenance personnel are in a working state, the remaining working hours of the maintenance personnel are the sum of the remaining duration of the current maintenance order and the total duration of the remaining allocated maintenance orders.

[0097] Refer to Figure 6 As shown, the allocation module specifically includes:

[0098] A skill matching unit, which is mainly used to match the maintenance skills of the maintenance personnel;

[0099] A time matching unit, which is mainly used to match the maintenance time of the maintenance personnel;

[0100] Obtain the skill information required for maintenance based on the maintenance information of the maintenance order, and based on the required skill information, obtain the maintenance personnel whose skill information matches;

[0101] Obtain the real-time working status and real-time location of the maintenance personnel, and calculate the distances of the maintenance personnel from each maintenance order;

[0102] Based on the obtained order and personnel information, through the load balancing formula, calculate and obtain the work load of each maintenance personnel;

[0103] Based on the maintenance order information, the work load of the maintenance personnel, the remaining working hours and the real-time location, perform weighted calculations, and comprehensively evaluate to obtain the most suitable maintenance personnel for the maintenance order allocation.

[0104] Specifically, the skill matching unit obtains the required skills according to the maintenance information in the maintenance order and matches the maintenance personnel with the corresponding skills. The time matching unit then matches the maintenance personnel with free time according to the time requirements of the maintenance order. The system will obtain the real-time working status and location information of each maintenance personnel and calculate the distances between them and each maintenance order. Based on this information, the system calculates the work load of each maintenance personnel based on the load balancing formula to ensure reasonable and fair task allocation. Finally, combining the work load of the maintenance personnel, the remaining working hours and the real-time location, the system performs weighted calculations, comprehensively evaluates various factors, and selects the most suitable maintenance personnel to execute the order task. The core of this process lies in accurately matching the skills, time and work load of the maintenance personnel, thereby improving the maintenance efficiency, reducing resource waste and ensuring the timely completion of the order.

[0105] Refer to Figure 7 As shown, based on the obtained order and personnel information, through the load balancing formula, the specific allocation of the maintenance order includes:

[0106] The load balancing formula is:

[0107]

[0108] Among them, Load(P j ) is the total workload of maintenance personnel P j , Duration(O i ) is the working hours required for maintenance order O i , Match(P j , O i ) indicates whether the maintenance skills of the maintenance personnel match, and Availability(P j , O i ) indicates whether maintenance personnel P j has free time within the time window of order O i .

[0109] Refer to Figure 8 as shown. Based on the maintenance order information and the workload, remaining working hours and real-time positioning of the maintenance personnel, weighted calculation is performed, and the most suitable maintenance personnel are obtained through comprehensive evaluation for maintenance order allocation, which specifically includes:

[0110] Based on the location information of the maintenance order and the current location of the maintenance personnel, calculate the distance between the two. The formula is:

[0111]

[0112] Among them, Δx and Δy are the longitude and latitude distance differences between the two positions, and the ratio of the longitude and latitude difference converted to kilometers is 1:111;

[0113] Based on the obtained workload Load(P j ), remaining working hours T and the distance L between the maintenance order location and the maintenance personnel, perform normalization processing;

[0114] Based on the data after normalization processing, through the comprehensive scoring calculation formula, obtain the suitability of each maintenance personnel for the maintenance order. The formula is:

[0115] S = ω 1 ·Load(P j ) + ω 2 ·T + ω 3 ·L

[0116] Based on the calculated suitability of each maintenance personnel for the maintenance order, allocate the most suitable maintenance personnel for each maintenance order.

[0117] It is understandable that the weighted calculation formula may not fully consider the actual situation. For example, the skill levels, experience, or task complexity of some maintenance personnel may not be accurately evaluated, resulting in problems still existing between the assigned maintenance personnel and the orders. Therefore, in addition to workload, remaining duration, and location, other factors such as the skill levels of maintenance personnel, historical performance, equipment expertise, etc. can be considered. A more refined weighted model can be adopted, and the weights of various factors can be dynamically adjusted according to historical data and the performance of maintenance personnel to ensure a more reasonable personnel allocation.

[0118] Refer to Figure 9 As shown, the maintenance personnel module specifically includes:

[0119] Receive the maintenance orders assigned by the allocation module for processing;

[0120] Send the maintenance results to the maintenance result module.

[0121] Refer to Figure 10 As shown, the maintenance result module specifically includes:

[0122] The maintenance personnel obtain the maintenance orders and confirm the maintenance order information, and confirm the maintenance amount information;

[0123] The maintenance amount information includes the total amount reserved by the user for maintenance and the maintenance commission for the maintenance personnel;

[0124] The maintenance personnel complete and confirm the maintenance order information;

[0125] The maintenance result module feeds back the confirmation information to the user side;

[0126] The user confirms the maintenance result through the user side, and the maintenance result module confirms the completion of the maintenance order.

[0127] Specifically, after receiving the maintenance order, the maintenance personnel need to carefully confirm the order information to ensure that the maintenance amount information such as the total maintenance amount reserved by the user and the maintenance commission that the maintenance personnel should receive is correct. After the maintenance personnel complete the confirmation, they continue with the maintenance work and confirm the maintenance order again after completion. This can ensure that the maintenance work is completed as required and the amount information is accurate. After the maintenance personnel complete all maintenance operations, the maintenance result module will feed back the confirmation information to the user side. The user can view the maintenance result and confirm it according to the actual situation. If the user is satisfied with the maintenance result, the system will confirm the completion of the maintenance order and officially end the maintenance process. This process improves the transparency and efficiency of order processing, ensures the accurate transmission of information between the maintenance personnel and the user, and also guarantees the fairness and reasonableness of the maintenance amount.

[0128] It should be noted that the above order of the embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. In addition, the specific embodiments of this specification have been described. Moreover, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0129] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments.

[0130] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A household appliance maintenance processing platform for resident services based on big data processing, characterized in that: include: User module: The user module is mainly used to send maintenance requests through mobile phones and other terminals and upload them to the server module for queuing processing, and feedback the maintenance results to the maintenance result module; Server module: The server module is mainly used to receive and process maintenance order information and maintenance personnel information; Allocation module: The allocation module is mainly used to analyze and process the maintenance order information based on the data processed by the information data processing unit, and match the maintenance personnel; Maintenance personnel module: The maintenance personnel module is mainly used to receive the maintenance orders assigned by the allocation module for processing, and send the maintenance results to the maintenance result module; Maintenance result module: The maintenance result module is mainly used to receive the maintenance order results of users and maintenance personnel, and match them to determine whether the maintenance order is completed; Database module: The database module is mainly used to store maintenance order information and current maintenance personnel information.

2. According to claim 1, a household appliance maintenance processing platform for resident services based on big data processing is characterized in that: The user module specifically includes: Users send maintenance requests through mobile phones and other terminals and upload them to the server module for queuing processing; The maintenance results are fed back to the maintenance result module.

3. The home appliance maintenance processing platform for resident services based on big data processing according to claim 1 is characterized in that: The server module specifically includes: An appointment unit, the appointment unit is mainly used to receive and sort the maintenance order information input by the user at the user end, and send the maintenance order information to the information data processing unit; The information data processing unit is mainly used to obtain the maintenance order information and current maintenance personnel information sent by the reservation unit, and integrate the data and send it to the allocation module.

4. The home appliance maintenance processing platform for resident services based on big data processing according to claim 3 is characterized in that: The information data processing unit specifically includes: Maintenance order information includes the remaining time of the user's maintenance reservation, maintenance duration information and maintenance amount information; Maintenance personnel information includes skill information and status information; Skill information includes the maintenance handling capabilities of maintenance personnel; Status information includes the real-time working status of maintenance personnel and the working time remaining of maintenance personnel; Extract the order confirmation time and appointment time of the maintenance order information, and calculate the remaining time value of the scheduled maintenance based on the order confirmation time and appointment time; Retrieve maintenance problem information from the maintenance order information, and obtain the skill information required for maintenance based on the maintenance problem information; The matched and sorted maintenance order information and maintenance personnel information are passed to the allocation module for subsequent task scheduling and personnel allocation.

5. The home appliance maintenance processing platform for resident services based on big data processing according to claim 4 is characterized in that: The real-time working status of the maintenance personnel and the working reserve time of the maintenance personnel specifically include: The real-time working status of maintenance personnel includes working status and non-working status; If the maintenance personnel is in a non-working state, the working reserve time of the maintenance personnel is zero, and the information allocation unit directly allocates the maintenance order information to the maintenance personnel; If the maintenance personnel is in working state, the remaining working time of the maintenance personnel is the sum of the remaining time of the current maintenance order and the total time of the remaining allocated maintenance orders.

6. The home appliance maintenance processing platform for resident services based on big data processing according to claim 1 is characterized in that: The allocation module specifically includes: A skill matching unit, which is mainly used to match the maintenance skills of maintenance personnel; A time matching unit, which is mainly used to match the maintenance time of maintenance personnel; Based on the maintenance information of the maintenance order, the skill information required for maintenance is obtained, and based on the skill information required for maintenance, maintenance personnel with matching skill information are obtained; Obtain the real-time working status and real-time location of maintenance personnel, and calculate the distance between the maintenance personnel and each maintenance order; Based on the obtained order and personnel information, the workload of each maintenance personnel is calculated through the load balancing formula; Based on the maintenance order information and the maintenance personnel's workload, work reserve time and real-time location, weighted calculation is performed, and comprehensive evaluation is made to obtain the most suitable maintenance personnel for maintenance order allocation.

7. A household appliance maintenance processing platform for resident services based on big data processing according to claim 6, characterized in that: The distribution of maintenance orders based on the acquired order and personnel information by means of a load balancing formula specifically includes: The load balancing formula is: Among them, Load(P j ) is the maintenance personnel P j The total workload, Duration(O i ) is the maintenance order O i Required working time, Match(P j ,O i ) is whether the maintenance skills of the maintenance personnel match, Availability (P j ,O i ) is the maintenance personnel P j In order O i Whether there is idle time within the time window.

8. The home appliance maintenance processing platform for resident services based on big data processing according to claim 6 is characterized in that: The weighted calculation based on the maintenance order information and the workload, work reserve duration and real-time location of the maintenance personnel, and the comprehensive evaluation to obtain the most suitable maintenance personnel for maintenance order allocation specifically includes: Based on the location information of the maintenance order and the current location of the maintenance personnel, the distance between the two is calculated using the formula: Among them, Δx, Δy are the longitude and latitude distance differences between the two locations, and the ratio between the longitude and latitude differences converted to kilometers is 1:111; Based on the obtained workload Load (P j ), the working margin time T and the distance L between the maintenance order location and the maintenance personnel are normalized; Based on the normalized data, the comprehensive scoring formula is used to obtain the suitability of each maintenance personnel for the maintenance order. The formula is: S=ω1·Load(P j )+ω2·T+ω3·L Based on the calculated suitability of each maintenance personnel for the maintenance order, the most suitable maintenance personnel is assigned to each maintenance order.

9. The household appliance maintenance processing platform for resident services based on big data processing according to claim 1 is characterized in that: The maintenance personnel module specifically includes: Receive maintenance orders assigned by the allocation module for processing; Send the maintenance results to the maintenance result module.

10. The household appliance maintenance processing platform for resident services based on big data processing according to claim 1, characterized in that: The maintenance result module specifically includes: The maintenance personnel obtains the maintenance order, confirms the maintenance order information, and confirms the maintenance amount information; The maintenance amount information includes the total amount of the maintenance reservation made by the user and the maintenance commission paid by the maintenance personnel; The maintenance personnel completes the maintenance order information and confirms it; The maintenance result module feeds back the confirmation information to the user end; The user confirms the maintenance result through the user terminal, and the maintenance result module confirms the end of the maintenance order.

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