Household appliance installation service data processing intelligent supervision system based on cloud platform

Abstract

The invention discloses a household appliance installation service data processing intelligent supervision system based on a cloud platform, and belongs to the technical field of service supervision. Data analysis is carried out on monitoring processing results of different dimensions of an expected to-be-installed area, whether hyper-items exist in different installation dimensions or not is judged, cost generated corresponding to the hyper-items is evaluated, and a user is actively prompted to carry out determination and selection; periodic monitoring statistics is carried out after an unconventional installation quotation scheme starts to be implemented, data processing and standard preprocessing influence analysis are carried out on monitoring statistics data, and dynamic optimization management is carried out on an existing unconventional installation quotation scheme in a self-adaptive mode according to an analysis result. The technical problems that in an existing scheme, the installation specification multi-dimensional autonomous monitoring effect before household electrical appliance installation is poor, and the effect of actively processing hyper-item cost prompts is poor can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of service supervision, and in particular to a household appliance installation service data processing intelligent supervision system based on a cloud platform. Background Art

[0002] Home appliance installation service refers to the service provided by professionals to correctly install newly purchased home appliances in the user's home. This service ensures that the appliances can operate safely and efficiently.

[0003] The existing household appliance installation service data processing and supervision scheme has certain defects in implementation. It is unable to pre-process and analyze the appliances to be installed and their corresponding installation locations, determine whether there are places where installation exceeds the items, and adaptively and proactively generate excess item supervision data and advance prompts, so as to avoid the rationality of the installation of excess items and the rationality of the corresponding costs in the actual installation process. The program cannot be supervised in advance, resulting in poor multi-dimensional autonomous monitoring of installation specifications before household appliances are installed and poor results in proactively handling reminders of excess costs. Summary of the invention

[0004] The purpose of the present invention is to provide a household appliance installation service data processing intelligent supervision system based on a cloud platform, which is used to solve the technical problems of poor multi-dimensional autonomous monitoring of installation specifications before household appliances are installed and poor active processing of over-item cost prompts in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] The cloud-based intelligent supervision system for household appliance installation service data processing includes:

[0007] A household appliance installation service specification preprocessing module is used to preprocess and combine the installed appliances and installation locations before implementing the household appliance installation service to obtain an installation indicator specification processing set;

[0008] Among them, the corresponding installation electrical appliance features and installation location features are obtained according to the image of the area to be installed uploaded by the user to the installation service supervision platform;

[0009] Digitally process the electrical installation parameters and electrical connection indicators corresponding to the electrical installation characteristics and the installation location characteristics to obtain corresponding installation indicator specification identification sequences and connection specification identifiers;

[0010] Sorting and combining the installation indicator specification identification sequence and the connection specification identifier to obtain an installation indicator specification processing set;

[0011] The household appliance installation service specification management prompt module is used to analyze the impact of installation exceeding the standard on the installation index specification processing set, and dynamically handle the exceeding standard impact adaptively based on the analysis results and prompt the installation user to confirm in real time before the appliance is installed; the analysis results include the implementation of a conventional installation quotation plan or an unconventional installation quotation plan;

[0012] The household appliance installation service specification implementation supervision module is used to conduct periodic monitoring and statistics on unconventional installation quotation plans after their implementation, and to perform data processing and specification pre-processing impact analysis on the monitored statistical data. Based on the analysis results, the existing unconventional installation quotation plans are adaptively and dynamically optimized.

[0013] Preferably, an image of the area to be installed uploaded by the user to the installation service supervision platform is obtained, and the image of the area to be installed is preprocessed and feature recognized to obtain corresponding features of the installed electrical appliances and features of the installation location;

[0014] According to the characteristics of the installed electrical appliances and the characteristics of the installation location, the corresponding electrical appliance installation parameters and electrical appliance connection indicators are obtained respectively, and different installation indicators in the electrical appliance installation parameters are sorted and numbered as i, i = {1, 2, 3, ..., n}; n is a positive integer;

[0015] Perform data analysis on different installation indicators ZAi through the installation identification function to obtain the installation specification identification GAi corresponding to different installation indicators;

[0016] The installation specification identifier contains a value of 0 or 1, indicating that the corresponding installation indicator is standardized or non-standard;

[0017] The installation specification identifiers obtained by corresponding processing of different installation indicators are sorted and combined to obtain an installation indicator specification identification sequence.

[0018] Preferably, the expression of the installation identification function is Where ZAi0 is the installation standard index corresponding to different installation indexes.

[0019] Preferably, the electrical connection index is calculated by the formula Calculate and obtain the corresponding connection specification mark GL; where LC is the electrical connection index; LC0 is the installation electrical connection standard index.

[0020] Preferably, the installation indicator specification identification sequence and the connection specification identifier in the installation knowledge specification processing set are obtained and traversed and analyzed respectively. If the element values ​​in the installation indicator specification identification sequence and the connection specification identifier are both 0, a normal installation tag is generated and a conventional installation quotation solution is implemented;

[0021] If the element value of the installation indicator specification identification sequence and / or the connection specification identifier is not 0, an installation exception label is generated and an unconventional installation quotation plan is implemented.

[0022] Preferably, according to the installation abnormality label, the index corresponding to the element whose value is not 0 is obtained and marked as an abnormal installation index, and the single excess cost corresponding to the abnormal installation index is obtained;

[0023] The individual excess costs corresponding to all abnormal installation indicators are summed up to obtain the total excess cost and pushed to the user for confirmation, prompting the user whether to confirm to continue the installation or select other services.

[0024] Preferably, the total number of times Ns of implementation of unconventional installation quotation schemes and the total number of installation-related complaints Nt within the supervision period are counted; and different types of installation-related complaints are analyzed and classified;

[0025] If the installation complaint type is an excessive cost complaint type, the total number of installation specials will be increased by one;

[0026] If the installation complaint type is not an excessive cost complaint type, then the total number of normal installations will be increased by one.

[0027] Preferably, data analysis is performed on the total number of special installations;

[0028] If the total number of special installations is 0, a preprocessing fully valid tag is generated and prompted;

[0029] If the total number of special installations is not 0, the first preprocessing formula is used Calculate and obtain the first preprocessing validity Xy of the unconventional installation quotation scheme implemented during the monitoring period; where A is the first preprocessing standard value; [] is the rounding function.

[0030] Preferably, the second preprocessing formula Calculate the second pretreatment validity Xe of the unconventional installation quotation scheme implemented during the monitoring period; where N is the total number of installation services for the same household appliance during the supervision period; a is the installation complaint rate before the monitoring period; and B is the second pretreatment standard value.

[0031] Preferably, when determining the normative pretreatment influence state according to the first pretreatment validity and the second pretreatment validity, data analysis is performed on the first pretreatment validity and the second pretreatment validity respectively;

[0032] If both the first preprocessing validity and the second preprocessing validity are not 0, an invalid preprocessing label is generated and prompted, and optimization management of unconventional installation quotation schemes is performed at the same time.

[0033] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0034] The present invention analyzes the monitoring and processing results of different dimensions of the expected installation area, determines whether there are over-items in different installation dimensions, evaluates the corresponding costs of the over-items, and actively prompts the user to determine and choose, thereby realizing advance supervision and prompts on the rationality of the installation of over-items and the rationality of the corresponding costs, and improves the multi-dimensional autonomous monitoring effect of installation specifications before the installation of household appliances and the effect of actively handling over-item cost prompts.

[0035] The present invention performs periodic monitoring and statistics on unconventional installation quotation schemes after their implementation, performs data processing on the monitored statistical data and performs a normative preprocessing impact analysis, and adaptively performs dynamic optimization management on existing unconventional installation quotation schemes based on the analysis results, thereby achieving regulatory statistics on feedback from the implementation of previous single unconventional installation quotation schemes, and can also perform an overall evaluation and management of feedback from the implementation of all single unconventional installation quotation schemes, further improving the overall effect of multi-dimensional autonomous monitoring of installation specifications before installation of household appliances and the optimization effect of proactively handling excess costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] Figure 1 This is a module block diagram of the household appliance installation service data processing intelligent supervision system based on the cloud platform of the present invention.

[0038] Figure 2 The present invention is a flowchart of the steps for implementing the household appliance installation service data processing intelligent supervision system based on a cloud platform. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Example 1: Figure 1 to Figure 2 As shown, the present invention is a household appliance installation service data processing intelligent supervision system based on a cloud platform, including an installation service supervision platform, and a household appliance installation service specification preprocessing module and a household appliance installation service specification management prompt module connected to the installation service supervision platform;

[0041] The home appliance installation service specification preprocessing module is used to preprocess and combine the installed appliances and installation locations before implementing the home appliance installation service to obtain the installation index specification processing set; including:

[0042] Obtain the image of the area to be installed uploaded by the user to the installation service supervision platform, and perform preprocessing and feature recognition on the image of the area to be installed to obtain the corresponding features of the installed electrical appliances and the features of the installation location;

[0043] It should be noted that the household appliance in the embodiment of the present invention may specifically be a gas water heater; the user uploads an image of the area where the gas water heater is to be installed through the installation service supervision platform, and the image may prompt the user to upload an image required by the standard according to actual requirements, for example, completely including the location where the gas water heater is to be installed and the location where the flue is connected;

[0044] In addition, the preprocessing and feature recognition of the image of the installation area in the embodiment of the present invention are all existing conventional image recognition technical solutions, for example: preprocessing includes but is not limited to image size adjustment, image format conversion, image enhancement, normalization, standardization, etc.; feature recognition can be implemented based on the existing traditional feature descriptor method or deep learning method;

[0045] According to the characteristics of the installed electrical appliances and the characteristics of the installation location, the corresponding electrical appliance installation parameters and electrical appliance connection indicators are obtained respectively, and different installation indicators in the electrical appliance installation parameters are sorted and numbered as i, i = {1, 2, 3, ..., n}; n is a positive integer;

[0046] Among them, the different installation indicators in the electrical installation parameters may specifically be the maximum width of the installable area and the maximum height of the installable area corresponding to the area to be installed in the image of the area to be installed; the maximum width of the installable area and the maximum height of the installable area corresponding to the area to be installed may be determined according to the socket position and the smoke exhaust port position corresponding to the area to be installed; for example, the maximum width of the installable area may be determined according to the width of the area between the right side of the socket in the area to be installed and the wall in the corresponding direction to the right, or may be determined according to the width of the area between the top of the socket in the installation area and the wall in the corresponding direction to the right side of the socket;

[0047] It should be noted that since gas water heaters are usually installed in the kitchen and there are usually cabinets and walls around them, the area between the cabinets and the walls will affect the installation of larger gas water heaters. For example, large-capacity water heaters are usually larger in size. When implementing existing technical solutions, most of them still require users to measure the specific size of the installation space before purchasing a gas water heater, and then consult sales staff about whether the size information of the specific model meets the installation requirements.

[0048] In addition, installing an electrical appliance includes a lowest installation position and a highest installation position, and the corresponding electrical appliance connection indexes are different at this time. The electrical appliance connection index value corresponding to the lowest installation position of the electrical appliance is greater than the electrical appliance connection index value corresponding to the highest installation position; the electrical appliance connection index in the embodiment of the present invention is specifically the highest installation position corresponding to the electrical appliance, and the required electrical appliance connection materials are minimal at this time; the lowest installation position and the highest installation position corresponding to the electrical appliance are determined according to the height requirement data of the existing electrical appliances installed in the area to be installed from the ground. If the electrical appliance is installed too high, it is not convenient to control the electrical appliance;

[0049] Perform data analysis on different installation indicators ZAi through the installation identification function to obtain the installation specification identification GAi corresponding to different installation indicators;

[0050] Among them, the expression of the installation identification function is Wherein, ZAi0 is the installation standard index corresponding to different installation indexes, corresponding to different installable parameters obtained by identifying the area to be installed in the image of the area to be installed, such as the maximum width and maximum height of the installable area;

[0051] It should be noted that the installation specification identifier is used to digitally represent the installation specification status corresponding to different installation indicators in the installation parameters;

[0052] The installation specification identifier contains a value of 0 or 1, indicating that the corresponding installation indicator is standardized or non-standard;

[0053] The installation specification identifiers obtained by processing the corresponding different installation indicators are sorted and combined to obtain an installation indicator specification identification sequence;

[0054] It should be noted that by digitally processing and combining the installation specification states corresponding to different installation indicators in the installation parameters, the corresponding installation indicator specification identification sequence can be obtained, which can provide reliable installation parameter dimension data support for subsequent installation over-standard impact analysis;

[0055] And, the electrical connection index is calculated by the formula Calculate and obtain the corresponding connection specification mark GL; where LC is the electrical connection index; LC0 is the installation electrical connection standard index;

[0056] The electrical appliance connection index may specifically be the length of the exhaust pipe to be installed; the electrical appliance connection standard index may specifically be the length of the exhaust pipe that can be installed corresponding to the electrical appliance to be installed;

[0057] It should be noted that the connection specification mark is used to digitally represent the connection specification status corresponding to the installed electrical appliance;

[0058] Sorting and combining the installation indicator specification identification sequence and the connection specification identifier to obtain an installation indicator specification processing set;

[0059] In an embodiment of the present invention, by performing image recognition on the image of the area to be installed uploaded by the user and performing digital processing in different dimensions, installation indicator specification identification sequences and connection specification identifiers corresponding to different dimensions are obtained, which can provide reliable multi-dimensional data support for the subsequent analysis of the installation exceeding standard status of electrical installation.

[0060] The household appliance installation service specification management prompt module is used to analyze the impact of installation exceeding the standard on the installation index specification processing set, and dynamically handle the exceeding standard impact adaptively based on the analysis results and prompt the installation user in real time to confirm before installing the appliance; including:

[0061] Obtain the installation indicator specification identification sequence and connection specification identifier in the installation knowledge specification processing set and traverse and analyze them respectively. If the element values ​​in the installation indicator specification identification sequence and the connection specification identifier are both 0, generate a normal installation label and implement a conventional installation quotation plan; this means that the household appliance purchased by the user matches the area to be installed;

[0062] If the element value and / or the connection specification identifier of the installation indicator specification identification sequence is not 0, an installation abnormality tag is generated and an unconventional installation quotation scheme is implemented. Here, it means that the installation of different aspects of the household appliances purchased by the user does not meet the requirements of the standard installation. According to the installation abnormality tag, the indicator corresponding to the element with a value not equal to 0 is obtained and marked as an abnormal installation indicator, and a single excess fee corresponding to the abnormal installation indicator is obtained;

[0063] It should be noted that when the value of the element of the installation index specification identification sequence is not 0, it means that the corresponding area to be installed does not meet the conventional installation requirements and requires manual design of the installation plan or modification, which incurs additional costs;

[0064] Sum up the individual excess costs corresponding to all abnormal installation indicators to obtain the total excess cost and push it to the user for confirmation, prompting the user to confirm whether to continue the installation or choose other services;

[0065] Among them, the single excess cost includes the installation excess cost corresponding to the installation parameters, including but not limited to non-standard fixed brackets, gas pipes or water pipes, and modification costs; the installation excess cost corresponding to the installation connection index, specifically, an additional exhaust pipe; the specific cost can be determined by professional technicians in this field according to the actual installation scenario and the actual cost of accessories;

[0066] Different from the existing technical solutions, the additional costs generated by the existing exceeding standards are often charged by the installers during the installation process or after the installation. The rationality of the installation exceeding items and the corresponding rationality of the costs cannot be supervised in advance, which affects the user's service experience; in the embodiment of the present invention, by performing data analysis on the monitoring and processing results of different dimensions of the expected installation area, it is determined whether there are exceeding items in different installation dimensions, and the corresponding costs of the exceeding items are evaluated and the user is actively prompted to determine and select, thereby achieving advance supervision and prompts on the rationality of the installation exceeding items and the corresponding rationality of the costs, and improving the multi-dimensional autonomous monitoring effect of the installation specifications before the installation of household appliances and the effect of actively handling the prompts of the exceeding costs.

[0067] Embodiment 2: Based on the technical solution of Embodiment 1, it also includes:

[0068] The home appliance installation service standard implementation supervision module is used to conduct periodic monitoring and statistics on unconventional installation quotation plans after they are implemented, and to process the monitored statistical data and perform standard pre-processing impact analysis. Based on the analysis results, the module dynamically optimizes and manages the existing unconventional installation quotation plans adaptively; including:

[0069] Count the total number of times non-conventional installation quotation schemes were implemented during the supervision period, Ns, and the total number of installation complaints, Nt; and analyze and classify different types of installation complaints;

[0070] Among them, the complaint types include excessive cost complaint type and non-excess cost complaint type; the excessive cost complaint type refers to the user's complaint about other excessive costs in the actual installation process after confirming the unconventional installation quotation plan, such as auxiliary material costs, modification costs or service costs;

[0071] In addition, the unit of the supervision cycle is month, which can be three months;

[0072] If the installation complaint type is an excessive cost complaint type, the total number of installation specials will be increased by one;

[0073] If the installation complaint type is not an excessive cost complaint type, the total number of ordinary installations will be increased by one; data analysis will be performed on the total number of special installations;

[0074] If the total number of special installations is 0, a preprocessing fully valid tag is generated and prompted;

[0075] If the total number of special installations is not 0, the first preprocessing formula is used Calculate and obtain the first pre-processing validity Xy of the unconventional installation quotation scheme implemented within the monitoring period; where A is the first pre-processing standard value, which is determined according to the actual complaint design requirement data of the actual application scenario; [] is the rounding function;

[0076] And, through the second preprocessing formula Calculate the second pre-processing validity Xe of the unconventional installation quotation scheme implemented during the monitoring period; where N is the total number of installation services for the same household appliance during the supervision period; a is the installation complaint rate before the monitoring period, which can be determined based on the median of all monthly installation complaint rates; B is the second pre-processing standard value, which is determined based on the actual complaint design requirement data of the actual application scenario and is different from the first pre-processing standard value;

[0077] It should be noted that the first pretreatment validity and the second pretreatment validity respectively implement periodic supervision calculations on the effects of the implementation of the unconventional installation quotation scheme from different dimensions and digitally represent the influence status of the standard pretreatment implemented; the supervision calculations in different dimensions improve the diversity of the supervision of the effects of the implementation of the unconventional installation quotation scheme and the reliability of the analysis and management;

[0078] When determining the normative pretreatment influence state according to the first pretreatment validity and the second pretreatment validity, data analysis is performed on the first pretreatment validity and the second pretreatment validity respectively;

[0079] If the first preprocessing validity and the second preprocessing validity are both 0, a preprocessing normal and valid label is generated and prompted;

[0080] If one of the first preprocessing validity and the second preprocessing validity is not 0, a preprocessing partial valid label is generated and prompted;

[0081] If both the first pretreatment validity and the second pretreatment validity are not 0, an invalid pretreatment label is generated and prompted, and optimization management of unconventional installation quotation plans is performed, such as pre-supervision and evaluation of additional auxiliary material costs, renovation costs, and service costs;

[0082] In the implementation of the present invention, by performing periodic monitoring and statistics on the unconventional installation quotation scheme after its implementation, and performing data processing and normative preprocessing impact analysis on the monitored statistical data, the existing unconventional installation quotation scheme is adaptively dynamically optimized and managed according to the analysis results, while achieving regulatory statistics on the feedback from the implementation of a previous single unconventional installation quotation scheme, the feedback from the implementation of all single unconventional installation quotation schemes can also be comprehensively evaluated and managed, further improving the overall effect of multi-dimensional autonomous monitoring of installation specifications before the installation of household appliances and the optimization effect of proactively handling excess costs.

[0083] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0084] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0085] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0086] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0087] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A cloud-based intelligent supervision system for household appliance installation service data processing, characterized in that: It includes a household appliance installation service specification preprocessing module, which is used to preprocess and combine the installed appliances and installation locations before implementing the household appliance installation service to obtain an installation indicator specification processing set; Among them, the corresponding installation electrical appliance features and installation location features are obtained according to the image of the area to be installed uploaded by the user to the installation service supervision platform; Digitally process the electrical installation parameters and electrical connection indicators corresponding to the electrical installation characteristics and the installation location characteristics to obtain corresponding installation indicator specification identification sequences and connection specification identifiers; Sorting and combining the installation indicator specification identification sequence and the connection specification identifier to obtain an installation indicator specification processing set; The household appliance installation service specification management prompt module is used to analyze the impact of installation exceeding the standard on the installation index specification processing set, and dynamically handle the exceeding standard impact adaptively based on the analysis results and prompt the installation user to confirm in real time before the appliance is installed; the analysis results include the implementation of a conventional installation quotation plan or an unconventional installation quotation plan; The household appliance installation service specification implementation supervision module is used to conduct periodic monitoring and statistics on unconventional installation quotation plans after their implementation, and to perform data processing and specification pre-processing impact analysis on the monitored statistical data. Based on the analysis results, the existing unconventional installation quotation plans are adaptively and dynamically optimized.

2. The cloud-based household appliance installation service data processing intelligent supervision system according to claim 1 is characterized in that: Obtain the image of the area to be installed uploaded by the user to the installation service supervision platform, and perform preprocessing and feature recognition on the image of the area to be installed to obtain the corresponding features of the installed electrical appliances and the features of the installation location; According to the characteristics of the installed electrical appliances and the characteristics of the installation location, the corresponding electrical appliance installation parameters and electrical appliance connection indicators are obtained respectively, and different installation indicators in the electrical appliance installation parameters are sorted and numbered as i, i = {1, 2, 3, ..., n}; n is a positive integer; Perform data analysis on different installation indicators ZAi through the installation identification function to obtain the installation specification identification GAi corresponding to different installation indicators; The installation specification identifier contains a value of 0 or 1, indicating that the corresponding installation indicator is standardized or non-standard; The installation specification identifiers obtained by corresponding processing of different installation indicators are sorted and combined to obtain an installation indicator specification identification sequence.

3. The cloud platform-based household appliance installation service data processing intelligent supervision system according to claim 2 is characterized in that: The expression of the installation recognition function is Where ZAi0 is the installation standard index corresponding to different installation indexes.

4. The cloud-based household appliance installation service data processing intelligent supervision system according to claim 2 is characterized in that: The electrical connection index is calculated by the formula Calculate and obtain the corresponding connection specification mark GL; where LC is the electrical connection index; LC0 is the installation electrical connection standard index.

5. The cloud-based household appliance installation service data processing intelligent supervision system according to claim 4 is characterized in that: Obtain the installation index specification identification sequence and the connection specification identifier in the installation knowledge specification processing set and traverse and analyze them respectively. If the element values ​​in the installation index specification identification sequence and the connection specification identifier are both 0, generate a normal installation label and implement a conventional installation quotation plan; If the element value of the installation indicator specification identification sequence and / or the connection specification identifier is not 0, an installation exception label is generated and an unconventional installation quotation plan is implemented.

6. The cloud-based household appliance installation service data processing intelligent supervision system according to claim 5 is characterized in that: According to the installation abnormality label, the indicator corresponding to the element whose value is not 0 is obtained and marked as an abnormal installation indicator, and the single excess cost corresponding to the abnormal installation indicator is obtained; The individual excess costs corresponding to all abnormal installation indicators are summed up to obtain the total excess cost and pushed to the user for confirmation, prompting the user whether to confirm to continue the installation or select other services.

7. The cloud-based household appliance installation service data processing intelligent supervision system according to claim 6 is characterized in that: Count the total number of times non-conventional installation quotation schemes were implemented during the supervision period, Ns, and the total number of installation complaints, Nt; and analyze and classify different types of installation complaints; If the installation complaint type is an excessive cost complaint type, the total number of installation specials will be increased by one; If the installation complaint type is not an excessive cost complaint type, then the total number of normal installations will be increased by one.

8. The cloud platform-based household appliance installation service data processing intelligent supervision system according to claim 7, characterized in that: Conduct data analysis on the total number of special installations; If the total number of special installations is 0, a preprocessing fully valid tag is generated and prompted; If the total number of special installations is not 0, the first preprocessing formula is used Calculate and obtain the first preprocessing validity Xy of the unconventional installation quotation scheme implemented during the monitoring period; where A is the first preprocessing standard value; [] is the rounding function.

9. The cloud-based household appliance installation service data processing intelligent supervision system according to claim 8, characterized in that: Through the second preprocessing formula Calculate the second pretreatment validity Xe of the unconventional installation quotation scheme implemented during the monitoring period; where N is the total number of installation services for the same household appliance during the supervision period; a is the installation complaint rate before the monitoring period; and B is the second pretreatment standard value.

10. The cloud platform-based household appliance installation service data processing intelligent supervision system according to claim 9, characterized in that: When determining the normative pretreatment influence state according to the first pretreatment validity and the second pretreatment validity, data analysis is performed on the first pretreatment validity and the second pretreatment validity respectively; If both the first preprocessing validity and the second preprocessing validity are not 0, an invalid preprocessing label is generated and prompted, and optimization management of unconventional installation quotation schemes is performed at the same time.

Images