Household service management platform based on Internet

Abstract

The invention discloses a housekeeping service management platform based on the Internet, and relates to the technical field of housekeeping service management, the platform comprises a housekeeping simulation service module, an order demand adaptation module and a housekeeping comprehensive recommendation module, and the housekeeping simulation service module is arranged. The method comprises the following steps: carrying out regular simulation service analysis on housekeeping service personnel, carrying out comprehensive analysis on the reliability of simulation service, comprehensively knowing the housekeeping service capability of the housekeeping service personnel through the simulation service, and regularly updating a housekeeping virtual simulation scene to obtain the housekeeping service capability of the housekeeping service personnel. And the analysis direction of the service quality and the service effect of the housekeeping service personnel is continuously adjusted according to the actual demand of the employer, so that the ever-increasing diversified demand of the employer is met.

Description

Technical Field

[0001] The present invention relates to the technical field of domestic service management, and more specifically, it relates to an Internet-based domestic service management platform. Background Art

[0002] With the rapid development and popularization of the Internet, the domestic service industry has gradually developed towards online and intelligent directions. However, there are many deficiencies in the traditional domestic service management mode, such as the mismatch between domestic service personnel and employer needs, uneven service quality, low service efficiency, etc. These problems seriously restrict the healthy development of the domestic service industry.

[0003] To solve the above problems, some Internet-based domestic service management platforms have emerged in the market. These platforms provide a more convenient and efficient service docking channel for employers and domestic service personnel by releasing domestic service orders online and dispatching domestic service personnel offline. However, when matching domestic service personnel with employer needs, these platforms often rely on simple keyword searches or manual recommendations, resulting in low matching accuracy and difficult-to-guarantee service quality.

[0004] In addition, the traditional domestic service evaluation method also has limitations. The traditional evaluation method usually relies on the self-description of domestic service personnel or the feedback evaluation of employers. This method lacks objectivity and accuracy and is difficult to comprehensively and truly reflect the service ability and service quality of domestic service personnel.

[0005] Therefore, there is an urgent need for a domestic service management platform that can accurately match the needs of domestic service personnel and employers and objectively evaluate the service ability and service quality of domestic service personnel. Summary of the Invention

[0006] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an Internet-based domestic service management platform.

[0007] To achieve the above purpose, the present invention provides the following technical solutions:

[0008] An Internet-based domestic service management platform, including a domestic service simulation module, an order demand adaptation module, and a domestic service comprehensive recommendation module;

[0009] The domestic service simulation module is used to set the domestic service management cycle. Every time a domestic service management cycle passes, the domestic virtual simulation scenarios corresponding to each domestic service type are updated, and then the domestic service simulation values of each domestic service personnel are determined;

[0010] When the employer issues a domestic service order, the order requirement adaptation module determines the type of domestic service targeted by the domestic service order, marks the domestic service personnel of this type of domestic service as target service personnel, and obtains the service requirement adaptation values of each target service personnel.

[0011] The domestic service comprehensive recommendation module obtains the domestic service recommendation value of the target service personnel based on the domestic service simulation value and the service requirement adaptation value, and determines whether to mark the target service personnel as order recommended personnel based on the comparison result between the domestic service recommendation value and the domestic service recommendation threshold.

[0012] Furthermore, to determine the domestic service simulation value of each domestic service personnel, specifically: determine the type of domestic service that the domestic service personnel faces, arrange the domestic service personnel to conduct a simulation service for a duration of T in the domestic virtual simulation scenario corresponding to the type of domestic service, and obtain the domestic service simulation value of each domestic service personnel.

[0013] Furthermore, the update steps of the domestic virtual simulation scenario for a type of domestic service are as follows: collect all domestic service orders within the domestic service management cycle, determine the type of domestic service targeted by the domestic service order, mark all domestic service orders of the same type of domestic service as one type of service order, obtain the service requirement information of each type of service order, perform feature extraction on the service requirement information of all type of service orders and fuse them into a requirement information feature set, and import the requirement information feature set into the domestic virtual simulation scenario of this type of domestic service to complete the update of the domestic virtual simulation scenario.

[0014] Furthermore, the domestic service simulation value of the domestic service personnel is obtained through the following steps: divide the duration of T into multiple simulation service stages of equal duration, obtain the service stage value of each simulation service stage, combine every two simulation service stages into a stage comparison group, obtain the service reliability value of each stage comparison group, sum up the service reliability values of all stage comparison groups and take the average value to obtain the service reliability average value Egs, set the service reliability limit value, when the service reliability value of the stage comparison group is greater than or equal to the service reliability limit value, mark this stage comparison group as a reliable comparison group, mark the total number of reliable comparison groups as Nzd, and use the formula to obtain the domestic service simulation value Jjzf of this domestic service personnel.

[0015] Furthermore, the service reliability value of the stage comparison group is obtained through the following steps: sum up the service stage values of the two simulation service stages in the stage comparison group and take the average value to obtain the stage average value Jatv, calculate the difference between the service stage values of the two simulation service stages in the stage comparison group and take the absolute value to obtain the stage difference value Di ft, and use the formula Obtain the service reliability value Bzhg of the control group at this stage, where vm is the stage average coefficient and vn is the stage difference coefficient.

[0016] Furthermore, the service stage value in the simulated service stage is obtained through the following steps: Collect the simulated service data generated by the domestic service personnel in the domestic service virtual simulation scenario during the simulated service stage, extract the features of the simulated service data to obtain the simulated service features, determine the type of domestic service that the domestic service personnel are facing, obtain the domestic service evaluation model corresponding to this type of domestic service, input the simulated service features into the domestic service evaluation model, and the domestic service evaluation model outputs the service stage value of this simulated service stage.

[0017] Furthermore, the service demand adaptation value of the target service personnel is obtained through the following steps: Obtain the service demand information of the domestic service order, extract the features of the service demand information to obtain the service demand features, obtain the service demand adaptation model of the target service personnel, input the service demand features into the service adaptation demand model, and the service adaptation demand model outputs the service demand adaptation value Kdey of this target service personnel.

[0018] Furthermore, obtain the domestic service recommendation value of the target service personnel based on the domestic service simulation value and the service demand adaptation value. Specifically: Obtain the domestic service simulation value Jjzf and the service demand adaptation value Kdey of the target service personnel, and use the formula to obtain the domestic service recommendation value Esqa of this target service personnel, where d1 is the domestic service simulation coefficient and d2 is the service demand adaptation coefficient.

[0019] Furthermore, based on the comparison result between the domestic service recommendation value and the domestic service recommendation threshold, determine whether to mark the target service personnel as an order recommendation personnel. Specifically: Set the domestic service recommendation threshold. When the domestic service recommendation value of the target service personnel is greater than or equal to the domestic service recommendation threshold, mark this target service personnel as an order recommendation personnel. When the domestic service recommendation value of the target service personnel is less than the domestic service recommendation threshold, do not make any treatment.

[0020] Furthermore, the domestic service management platform charges platform service fees annually; service providers are divided into full-time and part-time employees; customers can receive cashback after consuming a certain amount; when an accident occurs to a service staff member, their affiliated institution, local management institution, and the platform will jointly handle and resolve it; the processes of admission review, order signing, and complaint handling are all completed online; the classification details of the domestic service management platform include orders, customers, personnel, and institutions, and it has a management function for viewing daily withdrawal limits and an account quick freeze / thaw function, and has a shared customer function; business categories include cleaning services, nanny services, maternity and baby services, odd jobs, on-site services, and agency franchising; there is a function for initiating conversations between service staff and employers; the number of platform users can be increased by forwarding QR code business cards.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. A domestic service simulation service module is set up. By constructing domestic virtual simulation scenarios of different domestic service types, regular simulation service analysis is carried out on domestic service staff, and the reliability of the simulation service is comprehensively analyzed. Through the simulation service, the domestic service capabilities of domestic service staff are comprehensively understood, and by regularly updating the domestic virtual simulation scenarios, the analysis directions of the service quality and service effect of domestic service staff are continuously adjusted according to the actual needs of employers, so as to meet the growing diverse needs of employers.

[0023] 2. An order demand adaptation module and a domestic service comprehensive recommendation module are set up. Through a neural network model, an adaptability analysis is carried out on the domestic service orders issued by employers, the domestic service staff that are adapted are marked, and combined with the adaptability analysis and the simulation service analysis, the domestic service staff suitable for employers and orders are comprehensively selected, improving the utilization rate of domestic service staff and the overall service quality, effectively allocating domestic service resources, and reducing resource waste and operating costs caused by service mismatches. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is the platform operation flow chart of the Internet-based domestic service management platform;

[0025] Figure 2 is the module structure diagram of the Internet-based domestic service management platform;

[0026] Figure 3 is the update flow chart of the domestic virtual simulation scenario. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] Refer to Figures 1 to 3 , the Internet-based domestic service management platform includes a domestic service simulation service module, an order demand adaptation module, and a domestic service comprehensive recommendation module.

[0028] Household service simulation service module: Set the household service management cycle (the household service management cycle is a system-preset time period, and the specific duration of the time period is set according to requirements. During the operation of the platform, the household service management cycle loops infinitely). Every time a household service management cycle passes, update the household virtual simulation scenarios corresponding to each household service type, determine the household service type that the household service personnel are facing (household service types include cleaning service types, cooking service types, nanny service types, baby care service types, etc.), arrange for the household service personnel to perform simulation services for T duration in the household virtual simulation scenarios within the corresponding household service type, and obtain the household simulation service values of each household service personnel.

[0029] The update steps of the household virtual simulation scenario of a household service type are as follows: Collect all household service orders within the household service management cycle (household service orders are issued by employers), determine the household service type targeted by the household service orders, mark all household service orders of the same household service type as one type of service order, obtain the service demand information of each type of service order (service demand information includes specific work content, service time, rest time, etc., and the service demand information exists when the household service order is issued), perform feature extraction on the service demand information of all type of service orders and fuse them into a demand information feature set, and import the demand information feature set into the household virtual simulation scenario of this household service type (importing the demand information feature set into the household virtual simulation scenario can determine the specific needs of the household service, and the household service personnel can take corresponding operations according to the specific needs), and complete the update of the household virtual simulation scenario.

[0030] The process of building the scenario of the household virtual simulation scenario of a household service type is as follows: Determine a household service type, select the Unreal Engine virtual simulation software, use the scene editor and object library of the Unreal Engine to create the household scenario of this household service type, and set the attributes and initial states of the objects, use the physical engine of the Unreal Engine (such as PhysX) to simulate physical phenomena and motion laws, such as gravity, collision, friction, etc., and use the blueprint programming or C++ programming of the Unreal Engine to add controllers, such as keyboards, mice, gamepads, etc., in order to artificially intervene in the physical simulation process, and then build a household virtual simulation scenario of a household service type.

[0031] The domestic service simulation service value of a domestic service worker is obtained through the following steps: Divide the T duration into multiple simulation service stages of equal duration, obtain the service stage values of each simulation service stage, combine every two simulation service stages into a stage comparison group, obtain the service reliability values of each stage comparison group, sum up the service reliability values of all stage comparison groups and take the average to obtain the service reliability average value Egs. Set the service reliability limit value (the service reliability limit value is a preset value of the platform). When the service reliability value of a stage comparison group is greater than or equal to the service reliability limit value, mark this stage comparison group as a reliable comparison group. When the service reliability value of a stage comparison group is less than the service reliability limit value, no processing is performed. Mark the total number of reliable comparison groups as Nzd, and use the formula to obtain the domestic service simulation service value Jjzf of this domestic service worker.

[0032] The service reliability value of a stage comparison group is obtained through the following steps: Sum up the service stage values of the two simulation service stages in the stage comparison group and take the average to obtain the stage average value Jatv. Calculate the difference between the service stage values of the two simulation service stages in the stage comparison group and take the absolute value to obtain the stage difference value Di ft. Use the formula to obtain the service reliability value Bzhg of this stage comparison group, where vm is the stage average coefficient, vn is the stage difference coefficient, the value of vm is 1.54, and the value of vn is 3.25.

[0033] The service stage value of a simulation service stage is obtained through the following steps: Collect the simulation service data generated by the domestic service worker in the domestic service virtual simulation scenario during the simulation service stage, perform feature extraction on the simulation service data to obtain simulation service features, determine the type of domestic service that the domestic service worker is facing, obtain the domestic service evaluation model corresponding to this type of domestic service, input the simulation service features into the domestic service evaluation model, and the domestic service evaluation model outputs the service stage value of this simulation service stage.

[0034] Each type of domestic service corresponds to a domestic service evaluation model. Each domestic service evaluation model is constructed based on a neural network model. The difference between different domestic service evaluation models lies only in the training data. In the specific implementation, the construction process of the domestic service evaluation model for the cleaning service type will be disclosed in detail, and the construction process of the domestic service evaluation model for the cooking service type will be disclosed briefly.

[0035] The detailed construction process of the housekeeping service evaluation model for the cleaning service type is as follows: Collect multiple simulated service characteristics, each of which is extracted by housekeeping service personnel of the cleaning service type during the simulated service process. Build a neural network model, use the simulated service characteristics as the training data of the neural network model, assign a service stage value to each training data, and the value range of the service stage value is (1.0 - 10.0). The larger the value of the service stage value, the better the cleaning service effect and the higher the cleaning service quality; the smaller the value of the service stage value, the worse the cleaning service effect and the lower the cleaning service quality. Divide the training data into a training set and a validation set according to the set ratio of 3:1, perform neural network iterative training on the training set and the validation set. After the training is completed, the housekeeping service evaluation model for the cleaning service type is constructed.

[0036] The brief construction process of the housekeeping service evaluation model for the cooking service type is as follows: Collect multiple simulated service characteristics, each of which is extracted by housekeeping service personnel of the cooking service type during the simulated service process. The larger the value of the service stage value, the better the cooking service effect and the higher the cooking service quality; the smaller the value of the service stage value, the worse the cooking service effect and the lower the cooking service quality.

[0037] Set up a housekeeping simulation service module. By constructing housekeeping virtual simulation scenarios of different housekeeping service types, conduct regular simulated service analysis on housekeeping service personnel, comprehensively analyze the reliability of the simulated service, comprehensively understand the housekeeping service capabilities of housekeeping service personnel through the simulated service, and continuously adjust the analysis direction of the service quality and service effect of housekeeping service personnel according to the actual needs of employers by regularly updating the housekeeping virtual simulation scenarios to meet the growing diverse needs of employers.

[0038] Order demand adaptation module: When an employer issues a housekeeping service order, determine the housekeeping service type targeted by the housekeeping service order, mark the housekeeping service personnel of this housekeeping service type as target service personnel, and obtain the service demand adaptation values of each target service personnel.

[0039] The service demand adaptation value of the target service personnel is obtained through the following steps: Obtain the service demand information of the housekeeping service order, extract the characteristics of the service demand information to obtain the service demand characteristics, obtain the service demand adaptation model of the target service personnel, input the service demand characteristics into the service adaptation demand model, and the service adaptation demand model outputs the service demand adaptation value Kdey of this target service personnel.

[0040] Each domestic service worker corresponds to a service demand adaptation model, and each service demand adaptation model is constructed based on a neural network model. The construction process of the service demand adaptation model for domestic service workers is as follows: Collect multiple service demand characteristics (for example, if the domestic service worker is engaged in the baby care service type, collect the service demand characteristics of multiple baby care service orders; if the domestic service worker is engaged in the nanny service type, collect the service demand characteristics of multiple nanny service orders). Build a neural network model, use the service demand characteristics as the training data of the neural network model, and assign a service demand adaptation value to each training data. The value range of the service demand adaptation value is (0.1 - 2.0). The larger the value of the service demand adaptation value, the more suitable the domestic service worker is for the service demand characteristic (that is, the more suitable the domestic service worker is to complete this domestic service order); the smaller the value of the service demand adaptation value, the less suitable the domestic service worker is for the service demand characteristic. Divide the training data into a training set and a validation set according to a set ratio of 4:1, and perform neural network iterative training on the training set and the validation set. After the training is completed, the service demand adaptation model for the domestic service worker is constructed.

[0041] Domestic service comprehensive recommendation module: Obtain the domestic service recommendation values of each target service worker, and set a domestic service recommendation threshold (the domestic service recommendation threshold is a preset value of the platform). When the domestic service recommendation value of the target service worker is greater than or equal to the domestic service recommendation threshold, mark the target service worker as an order recommendation person (the platform can recommend the order recommendation person to the employer, and the employer can select from multiple order recommendation persons; the platform can also recommend domestic service orders to the order recommendation person, and the order recommendation person can choose whether to accept the recommended domestic service order). When the domestic service recommendation value of the target service worker is less than the domestic service recommendation threshold, no processing is performed.

[0042] The domestic service recommendation value of the target service worker is obtained through the following steps: Obtain the domestic service simulation service value Jjzf and the service demand adaptation value Kdey of the target service worker, and use the formula to obtain the domestic service recommendation value Esqa of the target service worker, where d1 is the domestic service simulation coefficient, d2 is the service demand adaptation coefficient, the value of d1 is 1.47, and the value of d2 is 2.19.

[0043] Set up an order demand adaptation module and a domestic service comprehensive recommendation module. Through the neural network model, perform an adaptability analysis on the domestic service orders issued by the employer, mark the suitable domestic service workers, and comprehensively select the domestic service workers suitable for the employer and the order by combining the adaptability analysis and the simulation service analysis, which improves the utilization rate of domestic service workers and the overall service quality, effectively allocates domestic service resources, and reduces the resource waste and operating costs caused by service mismatches.

[0044] An Internet-based domestic service management platform, specifically involving the following functions:

[0045] (1) Only charge the platform service fee (i.e., the entry fee) annually, and no longer charge the intermediary fee or commission annually / each time, unilaterally / bilaterally. That is, no longer take a commission on the service fee, nor charge the intermediary fee of either party annually / each time. The service fee paid by the employer can directly reach the service personnel, so that the labor income of the service personnel for that time belongs entirely to themselves. The supply and demand sides can directly communicate about the service fee, reducing the cost of domestic services and making the price of domestic services more affordable.

[0046] (2) "Mutual assistance" domestic service. That is, the service providers are "part-time amateur" personnel. Anyone can use their spare time to temporarily take orders for services. In this way, neighbors can become the service provider and the service recipient, and problems of the demand side can be solved closely and quickly, especially for the elderly, disabled, or patients living alone.

[0047] (3) Invented "institution-exclusive" personnel. That is, personnel who meet the legal age for social insurance contributions will be uniformly absorbed into the local directly managed domestic service enterprises, and the enterprises will uniformly pay social insurance for them. While providing strong risk protection for both users and personnel, it also reduces the pressure on service personnel to pay social insurance by themselves.

[0048] (4) Invented a stepped "full reduction and cashback" activity. That is, when the customer continuously selects the "institution-exclusive" personnel of a fixed institution to provide services for them, after consuming a certain amount, they can obtain a certain amount of cashback as a reward, reducing the cost of the employer using the platform service.

[0049] (5) Invented that "part-time amateur" personnel in various service items also have employment guarantees. Once an accident occurs to a flexible employment service personnel, it is no longer solely borne by the employer, but jointly borne by multiple parties, substantially expanding the employer's range of choices for employment.

[0050] (6) Invented a mode in which when an accident occurs to a service personnel during the service process, their affiliated institution, the local management institution, and the platform jointly respond, jointly solve, and jointly participate in bearing the medical expenses arising from the service accident. This mode greatly reduces the employer's employment cost while also effectively reducing the hidden cost of enterprise operation.

[0051] (7) Invented a new mode in which from "entry review" to order signing, to complaint, and then to partial complaint feedback are all completed online. That is, a new modality of fully online orders, including the process of signing contracts, contract stamping, customer placing orders, and service personnel receiving orders, does not require the intervention of artificial customer service at all, including signing domestic service contracts and contract stamping, and for the first time, the order list is standardized, clarified, and detailed.

[0052] (8) Invented the online franchise model in the domestic service industry. That is, the model where joining and settling in only requires paying a small franchise fee and can be completed through online operations. This model provides an inexpensive and easy-to-operate entrepreneurial platform for entrepreneurial groups with lower incomes and educational levels; in addition, an online training system has been established to effectively help entrepreneurial groups quickly get started and reduce entrepreneurial costs; the concepts of large franchisees and small franchisees have been invented, providing the possibility of starting a business for both full-time and part-time practitioners, and providing more choice spaces for those with the idea of independent entrepreneurship.

[0053] (9) Invented an online management system. Invented the classification methods and classification management for orders, customers, personnel, and institutions; invented a management system where customer service corresponds to franchisees and administrators correspond to direct sales / agents, making up for the lack of management in the domestic service industry and effectively achieving a management closed-loop. Online management, online training, online payment, and transparent money entry effectively prevent the phenomenon of fund transfer or concealment of corporate income.

[0054] (10) Invented a management function to view the daily withdrawal limit and an account quick freeze / unfreeze function to quickly prevent bad people from doing illegal things, such as false consumption, fraud, etc.

[0055] (11) Invented a customer sharing model. That is, the customers within the system platform no longer belong to a single domestic service company alone, but are the objects jointly served by all domestic service enterprises within the system, promoting the improvement of service quality.

[0056] (12) First launched six major business classifications: cleaning services, nanny services, maternity and baby services, odd jobs, on-site services, and agency franchise; redefined and reclassified the service classification names to standardize service categories.

[0057] (13) Invented a two-way compensation model. That is, if either party breaches the contract within the agreed time and rules, they need to pay corresponding compensation, which can effectively reduce the order cancellation rate and enhance the feasibility and sustainability of online independent orders.

[0058] (14) Invented the "grab the sofa" function. That is, the employer can achieve the purpose of reducing service consumption through "grab the sofa (similar to a voucher)" and "sit on the sofa (use the voucher)", so that the employer will no longer bargain with the service personnel too much to ask for a discount, thus appropriately increasing the income of the service personnel; the service personnel can achieve the appearance of their business cards (i.e., personal information) in the recommended personnel list when the customer places an order through "grab the sofa" and "sit on the sofa" to increase their own order volume and thus increase their income; the franchise agency can achieve the recommendation of its own agency to self-registered service personnel through "grab the sofa" and "sit on the sofa" to increase the number of personnel in the agency and increase income.

[0059] (15) The dialogue function is invented. That is, the service staff and the employer can initiate a dialogue and communicate with each other on their own, solving the problem of reduced order conversion rate caused by omissions or misunderstandings in the third-party relay. At the same time, the dialogue messages can be traced for several months, which is beneficial to problem investigation and after-sales processing.

[0060] (16) The gold bean function is invented. Gold beans can be used to unlock dialogues, participate in lotteries, upgrade memberships, and be recycled; users can obtain gold beans through ways such as platform gifts, personal purchases, platform lotteries, service evaluations, and compensation for breaches of contract; the "gold bean task" is invented, and all institutions need to complete the gold bean task to participate in operations normally, effectively enhancing the activity of institutions.

[0061] (17) The method of increasing platform users by forwarding personal "invitation codes" (QR code business cards) is invented. After a successful invitation, both parties can be rewarded with gold beans. After the invited person joins the platform, the inviter can also obtain recruitment profit sharing, which can increase personal income. In another sense, it also reduces the cost for users to participate in the platform.

[0062] The above formulas are all dimensionless and take their numerical values for calculation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0063] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center in a wired or wireless (such as infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0064] It should be understood that in various embodiments of the present application, the sequence numbers of the above processes do not imply the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0065] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0066] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0067] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in an electrical, mechanical, or other form.

[0068] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art or a part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0069] As described above, it is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims described above.

Claims

1. An Internet-based housekeeping service management platform, characterized by: It includes housekeeping simulation service module, order demand adaptation module, and housekeeping comprehensive recommendation module; The housekeeping simulation service module is used to set a housekeeping service management cycle, and after each housekeeping service management cycle, the housekeeping virtual simulation scene corresponding to each housekeeping service type is updated, thereby determining the housekeeping simulation service value of each housekeeping service personnel; When the employer issues a housekeeping service order, the order demand adaptation module determines the housekeeping service type targeted by the housekeeping service order, marks the housekeeping service personnel of the housekeeping service type as target service personnel, and obtains the service demand adaptation value of each target service personnel; The housekeeping comprehensive recommendation module obtains the housekeeping service recommendation value of the target service personnel based on the housekeeping simulation service value and the service demand adaptation value, and determines whether to mark the target service personnel as the order recommended personnel based on the comparison result of the housekeeping service recommendation value and the housekeeping service recommendation threshold.

2. The Internet-based housekeeping service management platform according to claim 1, characterized in that: Determine the housekeeping simulation service value of each housekeeping service personnel, specifically: determine the type of housekeeping service that the housekeeping service personnel are responsible for, arrange the housekeeping service personnel to perform simulation service for T time in the housekeeping virtual simulation scene of the corresponding housekeeping service type, and obtain the housekeeping simulation service value of each housekeeping service personnel.

3. The Internet-based housekeeping service management platform according to claim 1, characterized in that: The updating steps of a housekeeping virtual simulation scene of a housekeeping service type are as follows: collect all housekeeping service orders within the housekeeping service management cycle, determine the housekeeping service type for which the housekeeping service order is targeted, mark all housekeeping service orders of the same housekeeping service type as first-class service orders, obtain service demand information of each first-class service order, extract features of the service demand information of all first-class service orders and merge them into a demand information feature set, import the demand information feature set into the housekeeping virtual simulation scene of the housekeeping service type, and complete the update of the housekeeping virtual simulation scene.

4. The Internet-based housekeeping service management platform according to claim 1, characterized in that: The housekeeping simulation service value of the housekeeping service personnel is obtained through the following steps: divide the duration T into multiple simulated service stages of equal duration, obtain the service stage value of each simulated service stage, combine all simulated service stages into a stage comparison group, obtain the service reliability value of each stage comparison group, sum up the service reliability values ​​of all stage comparison groups and take the average to obtain the service reliability mean Egs, set the service reliability limit, and when the service reliability value of the stage comparison group is greater than or equal to the service reliability limit, mark the stage comparison group as a reliable comparison group, mark the total number of reliable comparison groups as Nzd, and use the formula Get the housekeeping simulation service value Jjzf of the housekeeping service staff.

5. The Internet-based housekeeping service management platform according to claim 4, characterized in that: The service reliability value of the stage comparison group is obtained by the following steps: summing up the service stage values ​​of the two simulated service stages in the stage comparison group and taking the average to obtain the stage average value Jatv; performing difference calculation on the service stage values ​​of the two simulated service stages in the stage comparison group and taking the absolute value to obtain the stage difference value Dift; using the formula The service reliability value Bzhg of the comparison group in this stage is obtained, where vm is the stage average coefficient and vn is the stage difference coefficient.

6. The Internet-based housekeeping service management platform according to claim 4, characterized in that: The service stage value of the simulated service stage is obtained through the following steps: collecting the simulated service data generated by the domestic service personnel in the domestic virtual simulation scene during the simulated service stage, extracting features of the simulated service data to obtain simulated service features, determining the domestic service type provided by the domestic service personnel, obtaining the domestic service evaluation model corresponding to the domestic service type, inputting the simulated service features into the domestic service evaluation model, and the domestic service evaluation model outputs the service stage value of the simulated service stage.

7. The Internet-based housekeeping service management platform according to claim 1, characterized in that: The service demand adaptation value of the target service personnel is obtained through the following steps: obtaining the service demand information of the housekeeping service order, performing feature extraction on the service demand information to obtain the service demand features, obtaining the service demand adaptation model of the target service personnel, inputting the service demand features into the service adaptation demand model, and outputting the service demand adaptation value Kdey of the target service personnel through the service adaptation demand model.

8. The Internet-based housekeeping service management platform according to claim 1, characterized in that: Based on the housekeeping simulation service value and the service demand adaptation value, the housekeeping service recommendation value of the target service personnel is obtained. Specifically, the housekeeping simulation service value Jjzf and the service demand adaptation value Kdey of the target service personnel are obtained, and the formula is used The recommended value of housekeeping service Esqa for the target service personnel is obtained, where d1 is the housekeeping simulation service coefficient and d2 is the service demand adaptation coefficient.

9. The Internet-based housekeeping service management platform according to claim 1, characterized in that: Based on the comparison result between the housekeeping service recommendation value and the housekeeping service recommendation threshold, determine whether to mark the target service personnel as the order recommended personnel. Specifically, set the housekeeping service recommendation threshold. When the housekeeping service recommendation value of the target service personnel is greater than or equal to the housekeeping service recommendation threshold, mark the target service personnel as the order recommended personnel. When the housekeeping service recommendation value of the target service personnel is less than the housekeeping service recommendation threshold, no processing is performed.

10. The Internet-based housekeeping service management platform according to claim 1, characterized in that: The housekeeping service management platform charges an annual platform service fee; service providers are divided into full-time staff and part-time staff; customers can get cash back after spending a certain amount; when a service staff encounters an accident, their agency, the local management agency and the platform will jointly respond and resolve it; the entry review, signing and complaint processes are all completed online; the classification details of the housekeeping service management platform include orders, customers, personnel and agencies, and it has the management function of viewing the daily withdrawal limit and the account quick freezing / unfreezing function, and has the customer sharing function; business categories include cleaning services, nanny services, maternal and child services, odd jobs, door-to-door services and agency franchising; service personnel and employers have the function of initiating conversations; and platform users can be increased by forwarding QR code business cards.

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