Household appliance system data processing method and household appliance system

Abstract

The invention discloses a household appliance system data processing method and a household appliance system, and belongs to the technical field of household appliance processing. Performing multi-dimensional digital processing and analysis on the real-time operation data of different types of networked household appliances in the household appliance system; periodic supervision and digital processing analysis are carried out on all abnormal analysis data of different types of networked household appliances in the household appliance system, so that stage operation influence analysis data corresponding to all types of networked household appliances in the household appliance system are obtained, and targeted analysis prompting is carried out. Operation data processing of different networked household electrical appliances in the household electrical appliance system is realized, and the depth and the breadth of utilization are expanded; the method and the device are used for solving the technical problem of poor processing effects corresponding to local data processing states of different household appliances in the household appliance system and the overall data processing state of the household appliance system in the existing scheme.

Description

Technical Field

[0001] The present invention relates to the field of household appliance processing technology, and in particular to a household appliance system data processing method and a household appliance system. Background Art

[0002] A home appliance system refers to a unified management platform formed by connecting various electrical appliances in the home through integrated hardware and software technologies; this system can realize functions such as remote control, automated management, and energy consumption monitoring of home appliances, thereby improving the convenience and comfort of life, while also helping to save energy and reduce emissions.

[0003] The existing home appliance system has certain defects in its implementation. Since the number and models of networked home appliances in different households are different, the corresponding data processing requirements of the home appliance systems are also different. At the same time, the network resource support capabilities in different households are also different, which leads to different impacts on the real-time data processing of home appliance systems in different households. It is impossible to perform multi-dimensional data processing analysis and prompts on the data processing requirements and network resource support capabilities of the household where the home appliance system is located, resulting in poor processing effects corresponding to the local data processing status of different home appliances in the home appliance system and the overall data processing status of the home appliance system. Summary of the invention

[0004] The object of the present invention is to provide a home appliance system data processing method and a home appliance system, which are used to solve the technical problems of poor processing effect corresponding to the local data processing status of different home appliance devices in the home appliance system and the overall data processing status of the home appliance system in the existing solutions.

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

[0006] A household appliance system, comprising:

[0007] The local data processing module for monitoring the operation of household appliances is used to monitor and count the real-time operation data and network resource data of different types of networked household appliances in the household appliance system, and to digitally process and analyze the real-time local impacts corresponding to the monitored and counted real-time operation data to obtain local operation impact analysis data;

[0008] The overall data processing module for home appliance operation monitoring is used to periodically monitor and digitally process and analyze all abnormal analysis data of different types of networked home appliances in the home appliance system, obtain the corresponding stage operation impact analysis data of all types of networked home appliances in the home appliance system and provide targeted analysis prompts.

[0009] Preferably, real-time network occupancy data of different types of networked home appliances in the home appliance system are obtained, and the real-time network occupancy data are processed and classified;

[0010] When the real-time operation network occupancy data is not greater than the standard operation network occupancy data of the corresponding home appliance, a silent operation instruction is generated;

[0011] Otherwise, a dynamic operation instruction is generated and the corresponding home appliance is marked as the target device. At the same time, the timestamp of the generation and end timestamp of the dynamic operation instruction of the target device are monitored to obtain the corresponding dynamic operation time period. The total number N of target devices appearing in the dynamic operation time period is analyzed and the local operation impact analysis plan is adaptively and dynamically executed.

[0012] Preferably, if the total number of target devices N=1 during the dynamic operation period, the local occupied flow ZL consumed by the target devices during the dynamic operation period is used, and the running impact identification piecewise function is used Calculate and obtain the local resource occupancy of the target device in the dynamic operation period; where JZ is the local resource occupancy of the target device in the dynamic operation period; T is the total duration corresponding to the dynamic operation period; A is the standard resource occupancy impact rate;

[0013] The local operation impact state corresponding to the target device in the dynamic operation period is determined according to the local resource occupancy.

[0014] Preferably, if the local resource occupancy is 0, a local normal operation state instruction is generated and prompted;

[0015] If the local resource occupancy is 1, a local operation impact abnormal state instruction is generated and prompted, and the value of the total duration corresponding to the dynamic operation period is marked as the impact duration value and associated with the target device.

[0016] Preferably, if the total number of target devices N that appear in the dynamic operation time period is greater than 1, the non-overlapping parts of the dynamic time periods corresponding to different target devices are marked as regular operation time periods, and the monitoring data corresponding to the regular operation time periods corresponding to the different target devices are calculated by the operation impact identification piecewise function to obtain the corresponding first local resource occupancy;

[0017] And, marking the overlapping parts of the dynamic operation time periods corresponding to different target devices as special operation time periods, and calculating the monitoring data corresponding to the special operation time periods through the operation impact identification piecewise function to obtain the corresponding second local resource occupancy;

[0018] The first local resource occupancy and the second local resource occupancy corresponding to the target device are sorted and combined to obtain a local resource occupancy sequence of the target device in the corresponding dynamic operation period.

[0019] Preferably, when determining the local operation impact state corresponding to the target device in the dynamic operation period according to the local resource occupation sequence, if the values ​​in the local resource occupation sequence are all 0, a local operation normal state instruction is generated and prompted;

[0020] If there is a value of 1 in the local resource occupancy sequence, a local operation impact abnormal state instruction is generated and prompted, and the total duration of the corresponding operation period of all elements with a value of 1 is summed up and marked as the impact duration value, and associated with the target device;

[0021] The target device processes and analyzes the local resource occupancy or local resource occupancy sequence obtained during the dynamic operation period, as well as the corresponding state instructions and impact duration values ​​to form corresponding local operation impact analysis data.

[0022] Preferably, a periodic monitoring scheme is implemented for all abnormal analysis data occurring in different types of networked home appliances in the home appliance system;

[0023] When implementing the supervision plan, all local operation impact analysis data corresponding to all types of networked home appliances in the home appliance system are counted, and all local operation impact analysis data appearing according to different preset supervision periods are counted, and the formula is used to calculate the local operation impact analysis data. Calculate the overall impact degree YSj corresponding to different preset supervision periods; where j is a different preset supervision period; j=1, 2, 3, ..., m; m is a positive integer; n is the total number of local operation impact analysis data corresponding to the preset supervision period; n′ is the total number of standards corresponding to the preset supervision period; YCi is the impact duration value in different local operation impact analysis numbers corresponding to the preset supervision period; i=1, 2, 3, ..., n; n is a positive integer.

[0024] Preferably, the overall impact of all preset supervision periods is calculated by the formula Calculate and obtain the corresponding stage operation impact YJ; where [] is the rounding function; B is the standard operation impact value;

[0025] The impact degree of stage operation determines the stage operation impact state corresponding to the home appliance system.

[0026] Preferably, if the stage operation impact is 0, a normal operation impact instruction of the home appliance system is generated and prompted;

[0027] If the stage operation impact is 1, a light abnormality instruction for the operation impact of the home appliance system is generated and a first optimization prompt is generated;

[0028] If the stage operation impact is greater than 1, a severe abnormal instruction affecting the operation of the home appliance system is generated and a second optimization prompt is generated.

[0029] A method for processing data of a household appliance system, comprising:

[0030] Monitor and compile statistics on the real-time operation data and network resource data of different types of networked home appliances in the home appliance system, and digitally process and analyze the real-time local impacts corresponding to the monitored and counted real-time operation data to obtain local operation impact analysis data;

[0031] All abnormal analysis data of different types of networked home appliances in the home appliance system are periodically monitored and digitally processed and analyzed to obtain the corresponding stage operation impact analysis data of all types of networked home appliances in the home appliance system and provide targeted analysis prompts.

[0032] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0033] The present invention performs multi-dimensional digital processing and analysis on the real-time operating data of different types of networked home appliances in the home appliance system, thereby realizing digital processing and analysis of the local resource occupancy status of different target devices in different dynamic operating time periods, and providing multi-dimensional local monitoring and analysis data support for subsequent periodic supervision and analysis of the overall home appliance system, thereby improving the diversity and scalability of monitoring and processing of operating data of different home appliances in the home appliance system in different time periods.

[0034] The present invention periodically monitors and digitally processes and analyzes all abnormal analysis data occurring in different types of networked home appliances in the home appliance system, obtains the stage operation impact analysis data corresponding to all types of networked home appliances in the home appliance system, and provides targeted analysis prompts, thereby achieving the depth and breadth of operation data processing and expanded utilization of different networked home appliances in the home appliance system, and improving the data processing and analysis effect corresponding to the local data processing states of different home appliances in the home appliance system and the overall data processing state of the home appliance system. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Figure 1 The present invention is a module block diagram of a household appliance system.

[0037] Figure 2 The present invention is a flowchart of a method for processing data of a household appliance system. DETAILED DESCRIPTION

[0038] 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.

[0039] like Figure 1 As shown, the present invention is a household appliance system, including a household appliance operation monitoring local data processing module and a household appliance operation monitoring overall data processing module;

[0040] The local data processing module for monitoring the operation of household appliances is used to monitor and count the real-time operation data and network resource data of different types of networked household appliances in the household appliance system, and to digitally process and analyze the real-time local impacts corresponding to the monitored and counted real-time operation data to obtain local operation impact analysis data; including:

[0041] Obtaining real-time network occupancy data of different types of networked home appliances in the home appliance system, and processing and classifying the real-time network occupancy data;

[0042] It should be noted that the different types of networked home appliances included in the home appliance system include but are not limited to air conditioners, televisions, washing machines, refrigerators, ovens / microwave ovens, vacuum cleaners, and lighting;

[0043] When the real-time operation network occupancy data is not greater than the standard operation network occupancy data of the corresponding home appliance, a silent operation instruction is generated; the real-time operation network occupancy data refers to the real-time operation network download traffic; the standard operation network occupancy data can be determined based on the historical operation network download data of the corresponding home appliance;

[0044] Otherwise, a dynamic operation instruction is generated and the corresponding home appliance is marked as a target device. At the same time, the timestamp of the generation and the end of the dynamic operation instruction of the target device are monitored to obtain the corresponding dynamic operation period, and the total number N of target devices appearing in the dynamic operation period is analyzed and the local operation impact analysis scheme is adaptively and dynamically executed; the units of different timestamps and dynamic operation periods are accurate to seconds;

[0045] If the total number of target devices N=1 during the dynamic operation period, the local occupied flow ZL consumed by the target devices during the dynamic operation period is used, and the running impact identification piecewise function is used Calculate and obtain the local resource occupancy of the target device in the dynamic operation period; where JZ is the local resource occupancy of the target device in the dynamic operation period; T is the total duration of the dynamic operation period; A is the standard resource occupancy impact rate, which can be determined based on the network broadband data of the household corresponding to the home appliance system;

[0046] It should be noted that the local resource occupancy is used to digitally represent the local resource occupancy state of the target device during the dynamic operation period;

[0047] When determining the local operation impact state corresponding to the target device in the dynamic operation period according to the local resource occupancy, if the local resource occupancy is 0, a local operation normal state instruction is generated and prompted;

[0048] If the local resource occupancy is 1, a local operation impact abnormal state instruction is generated and prompted, and the value of the total duration corresponding to the dynamic operation period is marked as the impact duration value and associated with the target device;

[0049] In the embodiment of the present invention, by digitally processing and calculating the monitoring data of the individual target device in the dynamic operation period and analyzing and obtaining the corresponding local operation impact abnormal state, reliable local monitoring and analysis data support can also be provided for the subsequent periodic supervision and analysis of the overall household appliance system;

[0050] If the total number of target devices N that appear in the dynamic operation time period is greater than 1, the non-overlapping parts of the dynamic time periods corresponding to different target devices are marked as regular operation time periods, and the monitoring data corresponding to the regular operation time periods corresponding to different target devices are calculated by the operation impact identification piecewise function to obtain the corresponding first local resource occupancy;

[0051] And, marking the overlapping parts of the dynamic operation time periods corresponding to different target devices as special operation time periods, and calculating the monitoring data corresponding to the special operation time periods through the operation impact identification piecewise function to obtain the corresponding second local resource occupancy;

[0052] Sorting and combining the first local resource occupancy and the second local resource occupancy corresponding to the target device to obtain a local resource occupancy sequence of the target device in the corresponding dynamic operation period;

[0053] It should be noted that by calculating and combining the data of different target devices in different classified operating time periods within the dynamic operating time period, the corresponding local resource occupancy sequence is obtained, which realizes the targeted local operation impact exception processing calculation for different household appliances, and improves the reliability and diversity of digital processing and computational analysis in different dynamic operating time periods.

[0054] When determining the local operation impact state corresponding to the target device in the dynamic operation period according to the local resource occupation sequence, if the values ​​in the local resource occupation sequence are all 0, a local operation normal state instruction is generated and prompted;

[0055] If there is a value of 1 in the local resource occupancy sequence, and the number of elements with a value of 1 is greater than or equal to 1, when the total number of elements with a value of 1 is 2, it means that the local resource occupancy status of the corresponding target device in both the normal operation period and the special operation period is abnormal, then a local operation impact abnormal status instruction is generated and prompted, and at the same time, the total duration of the corresponding operation period of all elements with a value of 1 is summed up and marked as the impact duration value, and associated with the target device;

[0056] The target device processes and analyzes the local resource occupancy or local resource occupancy sequence obtained during the dynamic operation period, as well as the corresponding state instructions and impact duration values ​​to form corresponding local operation impact analysis data;

[0057] In the embodiment of the present invention, by performing multi-dimensional digital processing and analysis on the real-time operating data of different types of networked home appliances in the home appliance system, it is possible to digitally process and analyze the local resource occupancy status of different target devices in different dynamic operating time periods, and provide multi-dimensional local monitoring and analysis data support for the subsequent overall periodic supervision analysis of the home appliance system, thereby improving the diversity and scalability of monitoring and processing of operating data of different home appliances in the home appliance system in different time periods.

[0058] The overall data processing module for home appliance operation monitoring is used to periodically monitor and digitally process and analyze all abnormal analysis data of different types of networked home appliances in the home appliance system, obtain the corresponding stage operation impact analysis data of all types of networked home appliances in the home appliance system and provide targeted analysis prompts; including:

[0059] A periodic monitoring plan for all abnormal analysis data of different types of networked home appliances in the home appliance system;

[0060] Among them, the supervision plan includes two plans, which can be implemented one by one or at the same time;

[0061] Supervision plan 1: Implement periodic supervision through a preset supervision cycle; the unit of the supervision cycle is day, which can be 30 days;

[0062] Supervision scheme 2: Implement periodic supervision through the preset total number of standard local operation impact analysis data. The total number of standard local operation impact analysis data can be customized according to the total number of all home appliances in the actual home appliance system;

[0063] When implementing the supervision plan, all local operation impact analysis data corresponding to all types of networked home appliances in the home appliance system are counted, and all local operation impact analysis data appearing according to different preset supervision periods are counted. The preset supervision period is divided into one hour, such as 8:00-8:59; 9:00-9:59; and the formula is used Calculate the overall impact YSj of the time period corresponding to different preset supervision periods; where j is a different preset supervision period; j = 1, 2, 3, ..., m; m is a positive integer; n is the total number of local operation impact analysis data corresponding to the preset supervision period; n' is the standard total number corresponding to the preset supervision period, which is determined according to the median of the total number of local operation impact analysis data that has appeared historically in the corresponding preset supervision period; YCi is the impact duration value of different local operation impact analysis data that appear in the preset supervision period; i = 1, 2, 3, ..., n; n is a positive integer;

[0064] It should be noted that the overall impact of a time period is used to digitally process and calculate all local operation impact analysis data that appear within the preset supervision period to digitally represent the overall impact of the time period that appears within the preset supervision period;

[0065] And, the overall impact of all preset supervision periods is calculated by the formula Calculate and obtain the corresponding stage operation impact YJ; where [] is the rounding function; B is the standard operation impact value;

[0066] It should be noted that the stage operation impact is used to integrate and calculate the network resource occupied data of all networked home appliances in the home appliance system during operation to digitally represent the overall resource occupation impact generated by them;

[0067] Determine the stage operation impact state corresponding to the home appliance system based on the stage operation impact degree;

[0068] If the stage operation impact is 0, then a normal operation impact instruction for the home appliance system is generated and a prompt is given; that is, the overall resource usage generated when all networked home appliances in the home appliance system are running in different time periods does not affect the normal use of network resources;

[0069] If the stage operation impact is 1, a slight abnormal instruction for the operation impact of the home appliance system is generated and a first optimization prompt is generated; that is, the overall resource usage generated by all networked home appliances in the home appliance system when running in different time periods slightly affects the normal use of network resources, and the first optimization prompt can implement targeted network resource usage impact prompts for different preset supervision time periods;

[0070] If the stage operation impact is greater than 1, a severe abnormal instruction for the operation of the home appliance system is generated and a second optimization prompt is generated; that is, the overall resource usage generated by all networked home appliances in the home appliance system when running in different time periods moderately affects the normal use of network resources, and the second optimization prompt can prompt an upgrade of the home network broadband;

[0071] In an embodiment of the present invention, by periodically supervising and digitally processing and analyzing all abnormal analysis data occurring in different types of networked home appliances in a home appliance system, the stage operation impact analysis data corresponding to all types of networked home appliances in the home appliance system are obtained and targeted analysis prompts are provided, thereby achieving the depth and breadth of operation data processing and expanded utilization of different networked home appliances in the home appliance system, and improving the data processing and analysis effect corresponding to the local data processing states of different home appliances in the home appliance system and the overall data processing state of the home appliance system.

[0072] like Figure 2 As shown, the present invention is a method for processing data of a household appliance system, comprising:

[0073] Monitor and compile statistics on the real-time operation data and network resource data of different types of networked home appliances in the home appliance system, and digitally process and analyze the real-time local impacts corresponding to the monitored and counted real-time operation data to obtain local operation impact analysis data;

[0074] All abnormal analysis data of different types of networked home appliances in the home appliance system are periodically monitored and digitally processed and analyzed to obtain the corresponding stage operation impact analysis data of all types of networked home appliances in the home appliance system and provide targeted analysis prompts.

[0075] 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.

[0076] 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.

[0077] 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.

[0078] 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.

[0079] 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.

[0080] 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 household appliance system, characterized in that: include: The local data processing module for monitoring the operation of household appliances is used to monitor and count the real-time operation data and network resource data of different types of networked household appliances in the household appliance system, and to digitally process and analyze the real-time local impacts corresponding to the monitored and counted real-time operation data to obtain local operation impact analysis data; The overall data processing module for home appliance operation monitoring is used to periodically monitor and digitally process and analyze all abnormal analysis data of different types of networked home appliances in the home appliance system, obtain the corresponding stage operation impact analysis data of all types of networked home appliances in the home appliance system and provide targeted analysis prompts.

2. A household appliance system according to claim 1, characterized in that: Obtaining real-time network occupancy data of different types of networked home appliances in the home appliance system, and processing and classifying the real-time network occupancy data; When the real-time operation network occupancy data is not greater than the standard operation network occupancy data of the corresponding home appliance, a silent operation instruction is generated; Otherwise, a dynamic operation instruction is generated and the corresponding home appliance is marked as the target device. At the same time, the timestamp of the generation and end timestamp of the dynamic operation instruction of the target device are monitored to obtain the corresponding dynamic operation time period. The total number N of target devices appearing in the dynamic operation time period is analyzed and the local operation impact analysis plan is adaptively and dynamically executed.

3. A household appliance system according to claim 2, characterized in that: If the total number of target devices N=1 during the dynamic operation period, the local occupied flow ZL consumed by the target devices during the dynamic operation period is used, and the running impact identification piecewise function is used Calculate and obtain the local resource occupancy of the target device during the dynamic operation period; where JZ is the local resource occupancy of the target device during the dynamic operation period; T is the total duration corresponding to the dynamic operation period; A is the standard occupied resource impact rate; The local operation impact state corresponding to the target device in the dynamic operation period is determined according to the local resource occupancy.

4. A household appliance system according to claim 3, characterized in that: If the local resource occupancy is 0, a local normal operation status instruction is generated and prompted; If the local resource occupancy is 1, a local operation impact abnormal state instruction is generated and prompted, and the value of the total duration corresponding to the dynamic operation period is marked as the impact duration value and associated with the target device.

5. A household appliance system according to claim 3, characterized in that: If the total number of target devices N that appear in the dynamic operation time period is greater than 1, the non-overlapping parts of the dynamic time periods corresponding to different target devices are marked as regular operation time periods, and the monitoring data corresponding to the regular operation time periods corresponding to different target devices are calculated by the operation impact identification piecewise function to obtain the corresponding first local resource occupancy; And, marking the overlapping parts of the dynamic operation time periods corresponding to different target devices as special operation time periods, and calculating the monitoring data corresponding to the special operation time periods through the operation impact identification piecewise function to obtain the corresponding second local resource occupancy; The first local resource occupancy and the second local resource occupancy corresponding to the target device are sorted and combined to obtain a local resource occupancy sequence of the target device in the corresponding dynamic operation period.

6. A household appliance system according to claim 5, characterized in that: When determining the local operation impact state corresponding to the target device in the dynamic operation period according to the local resource occupation sequence, if the values ​​in the local resource occupation sequence are all 0, a local operation normal state instruction is generated and prompted; If there is a value of 1 in the local resource occupancy sequence, a local operation impact abnormal state instruction is generated and prompted, and the total duration of the corresponding operation period of all elements with a value of 1 is summed up and marked as the impact duration value, and associated with the target device; The target device processes and analyzes the local resource occupancy or local resource occupancy sequence obtained during the dynamic operation period, as well as the corresponding state instructions and impact duration values ​​to form corresponding local operation impact analysis data.

7. A household appliance system according to claim 6, characterized in that: A periodic monitoring plan for all abnormal analysis data of different types of networked home appliances in the home appliance system; When implementing the supervision plan, all local operation impact analysis data corresponding to all types of networked home appliances in the home appliance system are counted, and all local operation impact analysis data appearing according to different preset supervision periods are counted, and the formula is used to calculate the local operation impact analysis data. Calculate the overall impact YSj of different preset supervision periods; where j is a different preset supervision period; j = 1, 2, 3, ..., m; m is a positive integer; n is the total number of local operation impact analysis data corresponding to the preset supervision period; n′ is the total number of standards corresponding to the preset supervision period; YCi is the impact duration value in different local operation impact analysis numbers corresponding to the preset supervision period; i=1, 2, 3,..., n; n is a positive integer.

8. A household appliance system according to claim 7, characterized in that: The overall impact of all preset supervision periods is calculated by the formula Calculate and obtain the corresponding stage operation impact YJ; where [] is the rounding function; B is the standard operation impact value; The impact degree of stage operation determines the corresponding stage operation impact state of the home appliance system.

9. A household appliance system according to claim 8, characterized in that: If the stage operation impact is 0, then a normal instruction affecting the operation of the home appliance system is generated and prompted; If the stage operation impact is 1, a light abnormality instruction for the operation impact of the home appliance system is generated and a first optimization prompt is generated; If the stage operation impact is greater than 1, a severe abnormal instruction affecting the operation of the home appliance system is generated and a second optimization prompt is generated.

10. A method for processing data of a household appliance system, using a household appliance system as claimed in any one of claims 1 to 9, characterized in that: include: Monitor and compile statistics on the real-time operation data and network resource data of different types of networked home appliances in the home appliance system, and digitally process and analyze the real-time local impacts corresponding to the monitored and counted real-time operation data to obtain local operation impact analysis data; All abnormal analysis data of different types of networked home appliances in the home appliance system are periodically monitored and digitally processed and analyzed to obtain the corresponding stage operation impact analysis data of all types of networked home appliances in the home appliance system and provide targeted analysis prompts.

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