Method, device and electronic equipment for determining electric auxiliary heating power of washing machine

Abstract

The present invention discloses a method, device and electronic device for determining the electric auxiliary heating power of a washing machine. The method comprises: obtaining the washing machine power data of a target account, and first electric heating power data corresponding to the washing machine power data; using a clustering algorithm to divide the first electric heating power data into gears to obtain a target power gear, and second electric heating power data corresponding to the target power gear; determining a first proportion of the number of electric auxiliary heating times in the target power gear to the number of electric heating times, and a second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used; based on the second electric heating power data, the first proportion and the second proportion, determining the electric auxiliary heating power of the washing machine. The present invention solves the technical problem of poor accuracy in identifying the electric auxiliary heating power, which is caused by directly identifying the electric auxiliary heating power of the washing machine as the electric heating power in the related art.

Description

Technical Field

[0001] The present invention relates to the technical field of load identification, and in particular to a method, device and electronic equipment for determining the electric auxiliary heating power of a washing machine. Background Art

[0002] At present, most washing machines have a heating process in addition to a motor-based cleaning process during operation. The electric auxiliary heating of the washing machine is an effective sterilization function. Through the heating process and high-temperature soaking, the scale and bacteria at the bottom of the washing machine can be effectively removed. Therefore, the washing machine will be accompanied by an electric auxiliary heating and cleaning process during operation. The principle of electric auxiliary heating is a pure resistance element, so the power consumption is large, and its power usually occupies most of the washing machine's operation. When using a washing machine, users need to understand not only the power consumed by the washing machine during cleaning, but also the power consumed by its electric auxiliary heating. However, the current load identification technology only identifies the heating part of the washing machine as electric heating, and it is impossible to know which electric heating belongs to the washing machine's auxiliary heating, resulting in a certain deviation in the electric auxiliary heating power of the washing machine.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present invention provide a method, device and electronic device for determining the electric auxiliary heating power of a washing machine, so as to at least solve the technical problem of poor accuracy in identifying the electric auxiliary heating power due to directly identifying the electric auxiliary heating power of the washing machine as electric heating power in the related art.

[0005] According to one aspect of an embodiment of the present invention, a method for determining the electric auxiliary heating power of a washing machine is provided, comprising: acquiring power data of the washing machine, and first electric heating power data corresponding to the power data of the washing machine; dividing the first electric heating power data into gears using a clustering algorithm to obtain a target power gear, and second electric heating power data corresponding to the target power gear; determining a first proportion of the number of electric auxiliary heating times in the target power gear to the number of electric heating times, and a second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the number of electric auxiliary heating times is the number of times the washing machine starts the electric auxiliary heating function in the target power gear, and the number of electric heating times is the total number of times the washing machine generates electric heating in the target power gear; and determining the electric auxiliary heating power of the washing machine based on the second electric heating power data, the first proportion and the second proportion.

[0006] Optionally, the clustering algorithm is used to divide the first electric heating power data into gears to obtain the target power gear and the second electric heating power data corresponding to the target power gear, including: the clustering algorithm is used to divide the first electric heating power data into gears to obtain a first number of initial power gears and the gear numbers corresponding to the first number of initial power gears, wherein the gear numbers are determined based on the power sizes corresponding to the first number of initial power gears, and the first number of initial power gears are arranged according to the gear numbers; obtaining the first number of initial power gears For two adjacent power gears corresponding to any two adjacent gear numbers in the power gears, determine the power lower limit value of the power gear corresponding to the first number of the above two adjacent power gears, and the power upper limit value of the power gear corresponding to the second number of the above two adjacent power gears; determine the power difference between the above power lower limit value and the above power upper limit value; judge whether the above power difference value is less than the predetermined power difference value; if the above power difference value is less than the above predetermined power difference value, merge the above two adjacent power gears to obtain the above target power gear, and the above second electric heating power data corresponding to the above target power gear.

[0007] Optionally, before determining the first proportion of the number of electric auxiliary heating times within the above-mentioned target power level to the number of electric heating times, and the second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, the above-mentioned method also includes: obtaining the number of starts of the washing machine within the above-mentioned target power level, and the start-up time corresponding to the start-up of the washing machine; determining the above-mentioned electric heating times based on the above-mentioned number of starts and the above-mentioned start-up time.

[0008] Optionally, when the target power level is one, the electric auxiliary heating power of the washing machine is determined based on the second electric heating power data, the first proportion and the second proportion, including: judging whether the first proportion is greater than a preset first proportion threshold, and judging whether the second proportion is greater than a preset second proportion threshold; if the first proportion is greater than the preset first proportion threshold, and the second proportion is greater than the preset second proportion threshold, then the second electric heating power data is used as the electric auxiliary heating power of the washing machine.

[0009] Optionally, in the case where there are multiple target power gears, the electric auxiliary heating power of the washing machine is determined based on the second electric heating power data, the first proportion and the second proportion, including: judging whether there is a first power gear among the multiple target power gears in which the first proportion is greater than a preset first proportion threshold, and the second proportion is greater than a preset second proportion threshold; in the case of determining that there is at least one first power gear among the multiple target power gears, obtaining the second proportions corresponding to the at least one first power gear respectively; and taking the second electric heating power data corresponding to the power gear with the largest second proportion among the at least one first power gear as the electric auxiliary heating power of the washing machine.

[0010] Optionally, the above-mentioned acquisition of washing machine power data, and the first electric heating power data corresponding to the above-mentioned washing machine power data, includes: acquiring non-invasive load data corresponding to the target account; determining the above-mentioned washing machine power data corresponding to the above-mentioned target account, and the corresponding start running time and end running time of the above-mentioned washing machine based on the above-mentioned non-invasive load data; determining the above-mentioned first electric heating power data based on the above-mentioned start running time and the above-mentioned end running time.

[0011] Optionally, the above-mentioned determining the washing machine power data corresponding to the above-mentioned target account and the corresponding start running time and end running time of the above-mentioned washing machine based on the above-mentioned non-invasive load data includes: processing the above-mentioned non-invasive load data to obtain processed non-invasive load data, wherein the above-mentioned processing at least includes: eliminating data in the above-mentioned non-invasive load data showing that the single running time of the above-mentioned washing machine is greater than a preset first time length, and eliminating data in the above-mentioned non-invasive load data showing that the single running time of the above-mentioned washing machine within a preset time period is greater than a preset second time length, wherein the preset first time length is greater than the preset second time length; determining the washing machine power data corresponding to the above-mentioned target account and the corresponding start running time and end running time of the above-mentioned washing machine based on the above-mentioned processed non-invasive load data.

[0012] According to another aspect of an embodiment of the present invention, a device for determining the electric auxiliary heating power of a washing machine is also provided, including: a first acquisition module, used to acquire washing machine power data, and first electric heating power data corresponding to the washing machine power data; a gear division module, used to use a clustering algorithm to perform gear division on the first electric heating power data to obtain a target power gear, and second electric heating power data corresponding to the target power gear; a first determination module, used to determine a first proportion of the number of electric auxiliary heating times in the target power gear to the number of electric heating times, and a second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the number of electric auxiliary heating times is the number of times the washing machine starts the electric auxiliary heating function in the target power gear, and the number of electric heating times is the total number of times the washing machine generates electric heating in the target power gear; a second determination module, used to determine the electric auxiliary heating power of the washing machine based on the second electric heating power data, the first proportion and the second proportion.

[0013] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, wherein the non-volatile storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing any one of the above-mentioned methods for determining the electric auxiliary heating power of a washing machine.

[0014] According to another aspect of an embodiment of the present invention, an electronic device is also provided, including one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement any one of the above-mentioned methods for determining the electric auxiliary heating power of the washing machine.

[0015] In an embodiment of the present invention, by acquiring washing machine power data and first electric heating power data corresponding to the washing machine power data; using a clustering algorithm to divide the first electric heating power data into gears to obtain a target power gear and second electric heating power data corresponding to the target power gear; determining a first proportion of the number of electric auxiliary heating times in the target power gear to the number of electric heating times, and a second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the number of electric auxiliary heating times is the number of times the washing machine starts the electric auxiliary heating function in the target power gear, and the number of electric heating times is the total number of times the washing machine generates electric heating in the target power gear; based on the second electric heating power data, the first proportion and the second proportion, determining the electric auxiliary heating power of the washing machine, achieving the purpose of accurately identifying the electric auxiliary heating power of the washing machine, thereby achieving the technical effect of improving the accuracy of identifying the electric auxiliary heating power of the washing machine and reducing the identification deviation, and further solving the technical problem of poor accuracy in identifying the electric auxiliary heating power due to directly identifying the electric auxiliary heating power of the washing machine as the electric heating power in the related art. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1 is a flow chart of a method for determining electric auxiliary heating power of a washing machine according to an embodiment of the present invention;

[0018] Figure 2 is a schematic diagram of an optional electrothermal power ranking according to an embodiment of the present invention;

[0019] Figure 3 is a schematic diagram of an optional electric heating power gear and a daily distribution of a washing machine according to an embodiment of the present invention;

[0020] Figure 4 is a flow chart of an optional method for determining electric auxiliary heating power of a washing machine according to an embodiment of the present invention;

[0021] Figure 5 4 is a schematic diagram of the structure of a device for determining the electric auxiliary heating power of a washing machine according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] First, to facilitate understanding of the embodiments of the present invention, some terms or nouns involved in the present invention are explained below:

[0025] Density (dbscan) clustering algorithm: A typical density-based clustering algorithm that defines a cluster as the largest set of density-connected points. It can divide areas with sufficient density into clusters and can find clusters of any shape in noisy spatial data sets. The dbscan algorithm has two important parameters, Eps and MmPtS. Eps is the field radius when defining density, and MmPtS is the threshold for defining core points. The output result is the cluster number corresponding to each sample. The formula is as follows: P_id = dbscan (Eps, MmPtS). Among them, Eps is 50, MmPtS is 10, and P_id is the gear number of all power divisions.

[0026] Based on the non-intrusive load monitoring decomposition technology, load characteristics refer to the unique electrical characteristics of electrical equipment when consuming electricity, mainly including the current, active and reactive power, harmonics, instantaneous power, switching transients, volt-ampere curve (i.e. VI curve) and other characteristics of electrical equipment. The research on the load characteristics of household appliances plays a fundamental role in power demand side management and intelligent applications. There are many kinds of household appliances, which can be divided into two categories according to the electrical components: appliances composed of motor components and appliances composed of heating resistor components. Compared with heating resistor appliances, motor appliances have more complicated operating conditions, large current and power fluctuations, and there are impact currents during the startup process, accompanied by a large number of harmonics. Washing machines are typical appliances that use motors during the cleaning process.

[0027] However, most washing machines currently have a heating process in addition to a motor-based cleaning process. The electric auxiliary heating of the washing machine is an effective sterilization function. Through the heating process and high-temperature soaking, the scale and bacteria at the bottom of the washing machine can be effectively removed. Therefore, the washing machine will be accompanied by an electric auxiliary heating and cleaning process during operation. The principle of electric auxiliary heating is a pure resistance element, so the power consumption is large, and its power usually occupies most of the washing machine's operation. When using a washing machine, users need to understand not only the power consumed by the washing machine during cleaning, but also the power consumed by its electric auxiliary heating. However, the current load identification technology only identifies the heating part of the washing machine as electric heating, which leads to a certain deviation in the electric auxiliary heating power of the washing machine.

[0028] Based on the above problems, an embodiment of the present invention provides a method embodiment for determining the electric auxiliary heating power of a washing machine. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] Figure 1 is a flow chart of a method for determining the electric auxiliary heating power of a washing machine according to an embodiment of the present invention. Figure 1As shown, the method comprises the following steps:

[0030] Step S102, obtaining washing machine power data and first electric heating power data corresponding to the washing machine power data.

[0031] In an optional embodiment, the step of obtaining the washing machine power data and the first electric heating power data corresponding to the washing machine power data includes:

[0032] Step S1021, obtaining non-intrusive load data corresponding to the target account.

[0033] Optionally, the non-intrusive load data may be, but is limited to, non-intrusive load data of washing machines under the same account and electric heating power greater than a predetermined power value, and the washing machine may be, but is not limited to, a rolling washing machine. For example, non-intrusive load data of rolling washing machines and electric heating power greater than 1000W corresponding to the target account are obtained. The format of the non-intrusive load data may be, but is not limited to: user name, appliance type, start date, start time, end date, end time, merge times, running time, running power, running power.

[0034] Step S1022: Based on the non-intrusive load data, determine the washing machine power data corresponding to the target account, as well as the corresponding start and end time of the washing machine.

[0035] In an optional embodiment, the above-mentioned determining the washing machine power data corresponding to the above-mentioned target account and the corresponding start running time and end running time of the above-mentioned washing machine based on the above-mentioned non-invasive load data includes: processing the above-mentioned non-invasive load data to obtain processed non-invasive load data, wherein the above-mentioned processing at least includes: eliminating data in the above-mentioned non-invasive load data showing that the single running time of the above-mentioned washing machine is greater than a preset first time length, and eliminating data in the above-mentioned non-invasive load data showing that the single running time of the above-mentioned washing machine within a preset time period is greater than a preset second time length, wherein the above-mentioned preset first time length is greater than the above-mentioned preset second time length; based on the above-mentioned processed non-invasive load data, determining the washing machine power data corresponding to the above-mentioned target account and the corresponding start running time and end running time of the above-mentioned washing machine.

[0036] Optionally, the non-intrusive load data is subjected to an abnormal elimination and dredging process according to a predetermined abnormal data elimination rule, which may include but is not limited to: eliminating the data in the non-intrusive load data in which the single operation duration of the washing machine is greater than the preset first duration, and eliminating the data in the non-intrusive load data in which the single operation duration of the washing machine is greater than the preset second duration within a preset period. For example, the data in the non-intrusive load data in which the single continuous operation duration of the washing machine is more than 4 hours is eliminated, and the data in the non-intrusive load data in which the continuous operation duration of the washing machine is more than 2.5 hours from 12 pm to 5 am is eliminated.

[0037] Step S1023, determining the first electric heating power data based on the start operation time and the end operation time.

[0038] It should be noted that, in theory, the start time of the washing machine is less than the start time of the electric heating, and the shut-off time of the electric heating is greater than the shut-off time of the washing machine. Considering that load identification cannot accurately capture the start time or shut-off time of the washing machine, the start time of the electric heating can be within 5 minutes before the start time of the washing machine, and the shut-off time of the electric heating can be within 2 minutes after the washing machine is shut down. In this way, the electric heating operation period and the first electric heating power data corresponding to the electric heating operation period can be obtained. The calculation formula is as follows:

[0039] T start_wash -T start_heat ≤5

[0040] T end_heat -T end_wash ≤2

[0041] Among them, T start_wash Indicates the time when the washing machine starts running, T start_heat Indicates the start time of electric heating, T end_heat Indicates the end time of electric heating, T end_wash It can be understood that the first electric heating power data is the electric heating power data with washing machine data, so based on the start and end time of the washing machine, according to the corresponding operation rules of washing and electric heating, the first electric heating power data corresponding to the washing machine power data can be determined.

[0042] Step S104: using a clustering algorithm to divide the first electrothermal power data into gears to obtain a target power gear and second electrothermal power data corresponding to the target power gear.

[0043] In an optional embodiment, the above-mentioned clustering algorithm is used to divide the above-mentioned first electric heating power data into gears to obtain the target power gear and the second electric heating power data corresponding to the above-mentioned target power gear, including: using the above-mentioned clustering algorithm to divide the above-mentioned first electric heating power data into gears to obtain a first number of initial power gears, and the gear numbers corresponding to the above-mentioned first number of initial power gears, wherein the above-mentioned gear numbers are determined based on the power sizes corresponding to the above-mentioned first number of initial power gears, and the above-mentioned first number of initial power gears are arranged according to the above-mentioned gear numbers; obtaining the above-mentioned first number For two adjacent power gears corresponding to any two adjacent gear numbers in the initial power gear, determine the power lower limit value of the power gear corresponding to the former number of the above two adjacent power gears, and the power upper limit value of the power gear corresponding to the latter number of the above two adjacent power gears; determine the power difference between the above power lower limit value and the above power upper limit value; judge whether the above power difference value is less than the predetermined power difference value; if the above power difference value is less than the above predetermined power difference value, merge the above two adjacent power gears to obtain the above target power gear, and the above second electric heating power data corresponding to the above target power gear.

[0044] Optionally, the first electric heating power data corresponding to the target account in a certain period of time is obtained, and the first electric heating power data is sorted in ascending order to obtain the sorted first electric heating power data. Taking the target account numbered 3029-99-2 as an example, the user has calculated a total of 245 first electric heating power data with washing machine data (i.e., there are 245 records of electric heating on and off), and the 245 first electric heating power data are sorted in ascending order to obtain the following: Figure 2 The first electrothermal power data is shown arranged in ascending order.

[0045] A clustering algorithm is further used to divide the arranged first electric heating power data into gears to obtain a first number of target power gears and gear numbers corresponding to the first number of target power gears. The first number is greater than or equal to 2, and the clustering algorithm can be, but is not limited to, a density (dbscan) clustering algorithm.

[0046] Optionally, after obtaining the first number of target power gears, it is necessary to further determine whether gear merging is required. Specifically, the power difference between the power lower limit value of the previous numbered power gear and the power upper limit value of the next numbered power gear in two adjacent power gears is calculated. When the power difference is greater than the predetermined power difference, the two adjacent power gears are merged, and the merged power gear is used as the above-mentioned target power gear, and the corresponding electric heating power data is recorded as the above-mentioned second electric heating power data. For example, three power gears are divided using the dbscan clustering algorithm, and the gears are shown in Table 1. For example, the maximum power of the first gear, 1269W, and the minimum power of the second gear, 1423W, differ by 154W, so they can be merged into one gear. Then gears 1 and 2 are gear 1. Then the maximum power of gears 1569W and 1619W, the minimum power of gear 3, differ by 50W, so they can also be merged into one power gear. Therefore, the 3 gears of data will be merged into 1 gear of data. Finally, the target power gear obtained after the merger is only one power gear, and the upper limit of the target power gear is 1168W and the upper limit of the power is 1745W.

[0047] Table 1

[0048] Gear No. Power Cap Power lower limit 1 1168 1269 2 1423 1569 3 1619 1745

[0049] It should be noted that the above-mentioned target power level can be one or more. When the above-mentioned target power level is one, the second electrothermal power data is the first electrothermal power data; when the target power level is multiple, the sum of the electrothermal power data in the multiple second electrothermal power data constitutes the above-mentioned first electrothermal power data.

[0050] Step S106, determining a first proportion of the number of electric auxiliary heating times within the above-mentioned target power gear to the number of electric heating times, and a second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the above-mentioned number of electric auxiliary heating times is the number of times the washing machine starts the electric auxiliary heating function within the above-mentioned target power gear, and the above-mentioned number of electric heating times is the total number of times the above-mentioned washing machine generates electric heating within the above-mentioned target power gear.

[0051] In an optional embodiment, before determining the first proportion of the number of electric auxiliary heating times in the above-mentioned target power gear to the number of electric heating times, and the second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, the above-mentioned method also includes: obtaining the number of times the washing machine is started in the above-mentioned target power gear, and the start-up time corresponding to the start-up of the washing machine; based on the above-mentioned number of starts and the above-mentioned start-up time, determining the above-mentioned number of electric heating times. In the above-mentioned manner, the number of starts of the washing machine in the target power gear and the start-up time corresponding to each start-up of the washing machine are first obtained. The above-mentioned start-up time can be understood as the washing time corresponding to the start-up of the washing machine. Considering that when a washing machine with electric auxiliary heating is used for washing (there is no electric auxiliary heating when the washing machine is fast washing), the washing machine will have a longer washing time, and the longer the washing machine runs, the more times the electric auxiliary heating will be used. Therefore, the combined number of electric heating times can be determined by the washing machine's washing time, and the combined number of electric heating times is used as the total number of times the washing machine generates electric heat. The principle for determining the total number of electric heating times can be but is not limited to: if the washing machine washing time is greater than 20 minutes and less than 60 minutes, the combined number of electric heating times is less than or equal to 4; if the washing machine washing time is greater than 60 minutes and less than 120 minutes, the combined number of electric heating times is greater than 4 and less than or equal to 8; if the washing machine washing time is greater than 120 minutes, the combined number of electric heating times is greater than 8 and less than or equal to 10.

[0052] It can be understood that the first proportion is the ratio of the number of electric auxiliary heating times to the number of electric heating times in the target power gear (i.e., the electric heating proportion), and the specific calculation formula can be: Among them, heatRate represents the above electric heating ratio, cnt wash_heat Indicates the above-mentioned electric auxiliary heating times, cnt heat represents the above-mentioned electric heating times; the above-mentioned second proportion is the ratio of the number of electric auxiliary heating times in the target power gear to the number of times the washing machine is used (i.e., the washing machine proportion), and the specific calculation formula can be: Among them, washRate is the proportion of the above washing machines, cnt wash The number of times the above washing machine is used.

[0053] Step S108, determining the electric auxiliary heating power of the washing machine based on the second electric heating power data, the first proportion and the second proportion.

[0054] In an optional embodiment, when the target power level is one, the electric auxiliary heating power of the washing machine is determined based on the second electric heating power data, the first proportion and the second proportion, including: judging whether the first proportion is greater than a preset first proportion threshold, and judging whether the second proportion is greater than a preset second proportion threshold; if the first proportion is greater than the preset first proportion threshold, and the second proportion is greater than the preset second proportion threshold, then the second electric heating power data is used as the electric auxiliary heating power of the washing machine.

[0055] Optionally, when it is determined that the first proportion (i.e., the electric heating proportion) corresponding to the above target power gear is greater than the preset first proportion threshold value (e.g., 0.1), and the second proportion (i.e., the washing machine proportion) corresponding to the above target power gear is greater than the preset second proportion threshold value (e.g., 0.2), the second electric heating power data corresponding to the above target power gear is determined as the electric auxiliary heating power of the washing machine. For example, after the power gears of the target account numbered 3029-18-1 are merged, the lower limit power, upper limit power, electric heating proportion and washing machine proportion corresponding to the corresponding target power gear are shown in Table 2. It can be seen that the electric heating proportion of the target power gear is 0.19, which is greater than the preset first proportion threshold value (0.1), and the corresponding washing machine proportion is 0.4, which is also greater than the preset second proportion threshold value (0.2). Therefore, the second electric heating power data corresponding to the target account numbered 3029-18-1 can be used as the electric auxiliary heating power of the above washing machine. Figure 3 This is a schematic diagram of the daily distribution of the electric heating power level and washing machine of the target account, such as Figure 3 As shown, the upper part of the horizontal axis corresponds to the electric heating power data, and the lower part of the horizontal axis corresponds to the washing machine power data. It can be seen that the electric heating power during the operation of the washing machine is the auxiliary heating power of the washing machine.

[0056] Table 2

[0057] User Number Lower power limit Upper limit power Electric heating ratio Washing machine share 3029-18-1 1168 1745 0.19 0.4

[0058] In an optional embodiment, in the case that there are multiple target power gears, the electric auxiliary heating power of the washing machine is determined based on the second electric heating power data, the first proportion and the second proportion, including: judging whether there is a first power gear among the multiple target power gears in which the first proportion is greater than a preset first proportion threshold, and the second proportion is greater than the preset second proportion threshold; in the case that it is determined that there is at least one first power gear among the multiple target power gears, obtaining the second proportions corresponding to the at least one first power gear respectively; and taking the second electric heating power data corresponding to the power gear with the largest second proportion among the at least one first power gear as the electric auxiliary heating power of the washing machine.

[0059] Optionally, when there are multiple target power levels, it is also necessary to screen out the first power level whose first proportion is greater than the preset first proportion threshold and whose second proportion is greater than the preset second proportion threshold; when the first power level is not unique (i.e., there are multiple levels), the second electric heating power data corresponding to the power level with the largest second proportion among the multiple first power levels shall be used as the electric auxiliary heating power of the washing machine.

[0060] Through the above steps S102 to S108, the electric heating is divided into power levels in combination with the clustering algorithm, and the probability of the washing machine used by the user and the electric heating probability are calculated for each power level, and the auxiliary heating of the user's washing machine can be determined through the probability range. The purpose of accurately identifying the electric auxiliary heating power of the washing machine can be achieved, thereby achieving the technical effect of improving the accuracy of the recognition of the electric auxiliary heating power of the washing machine and reducing the recognition deviation, thereby solving the technical problem of poor accuracy of the recognition of the electric auxiliary heating power caused by directly recognizing the electric auxiliary heating power of the washing machine as the electric heating power in the related art.

[0061] Based on the above embodiments and optional embodiments, the present invention proposes an optional implementation mode: Figure 4 is a flow chart of an optional method for determining the electric auxiliary heating power of a washing machine according to an embodiment of the present invention, such as Figure 4 As shown, the method includes:

[0062] Step S1, obtaining non-intrusive identification data of drum washing machines and electric heating power greater than 100W in a community for one month, and removing abnormal data in the non-intrusive identification data to obtain processed non-intrusive identification data.

[0063] Step S2, selecting non-intrusive identification data of one household in the community for calculation, and calculating whether there is washing machine power data near the household's electric heating power data, and based on this, filtering out the first electric heating power data corresponding to the washing machine power data.

[0064] Step S3, using the dbscan clustering algorithm to divide the first electric heating power data into power gears to obtain a first number of target power gears. Compare the power limits of any two adjacent power gears in the first number of initial power gears. If the power difference between the power lower limit value of the previous numbered power gear and the power upper limit value of the next numbered power gear is less than 200W, the two adjacent power gears are merged to obtain the target power gear.

[0065] Step S4, when there are multiple target power gears, obtain the second electric heating power data corresponding to any one of the multiple target power gears (that is, all the electric heating power data corresponding to the target power gear), and calculate the electric heating proportion of the number of electric auxiliary heating times in any one of the target power gears, and the washing machine proportion of the number of electric auxiliary heating times to the number of times the washing machine is used.

[0066] Step S5, determine whether the electric heating proportion corresponding to any of the above target power levels is greater than 0.1, and whether the washing machine proportion is greater than 0.2. If the electric heating proportion corresponding to any of the above target power levels is greater than 0.1, and the washing machine proportion is greater than 0.2, then any of the above target power levels meets the judgment conditions and may correspond to auxiliary heating of the washing machine. At this time, any of the above target power levels is used as the first power level.

[0067] Step S6, looping through the operations of step S4 to step S5 until the above-mentioned multiple target power levels are determined.

[0068] Step S7, when the above-mentioned first power level is not unique (ie, there are multiple levels), the second electric heating power data corresponding to the power level with the second largest proportion among the multiple first power levels is used as the electric auxiliary heating power of the washing machine of the user.

[0069] Step S8, then obtain the non-intrusive identification data of other users in the cell, and repeat the operations of steps S2 to S7 until the electric auxiliary heating power of the washing machine corresponding to each user in the cell is obtained.

[0070] It should be noted that the models and operating characteristics of washing machines and electric heating loads have been studied in the prior art. The washing machine is accompanied by auxiliary heating during operation, and the operating characteristics of the washing machine auxiliary heating are consistent with those of electric heating. Therefore, in the non-invasive identification results, the embodiment of the present invention identifies the washing machine auxiliary heating as electric heating data, and uses the historical data of the user's washing machine and electric heating, and combines the rules of the use of washing machines and washing machine auxiliary heating to screen out a part of the electric heating data, and then combines the clustering algorithm to divide the electric heating into power levels, and calculates the probability of the user's use of the washing machine and the electric heating probability for each power level, and judges the user's washing machine auxiliary heating through the probability range. This method can better clean the washing machine auxiliary heating from the electric heating data. In addition, the method provided by the embodiment of the present invention is simple and easy to operate. As long as the user's drum washing machine and electric heating non-invasive data are obtained, data cleaning can be performed on a large number of users. Moreover, for electricity users, non-intrusive load identification can enable them to understand the energy consumption of various types of electrical equipment in more detail, and guide users to actively participate in the "peak shaving and valley filling" of the power grid under the mechanism of electricity price incentives; for the power grid, it can more realistically understand the load composition of the power system, provide a basis for improving the efficiency of electricity utilization, and has great theoretical and practical significance.

[0071] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0072] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0073] In this embodiment, a device for determining the electric auxiliary heating power of a washing machine is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the terms "module" and "device" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0074] According to an embodiment of the present invention, there is also provided an embodiment of a device for implementing the above-mentioned method for determining the electric auxiliary heating power of the washing machine. Figure 5 is a schematic diagram of the structure of a device for determining the electric auxiliary heating power of a washing machine according to an embodiment of the present invention. Figure 5 As shown, the above-mentioned device for determining the electric auxiliary heating power of the washing machine includes: a first acquisition module 500, a gear division module 502, a first determination module 504, and a second determination module 506, wherein:

[0075] The first acquisition module 500 is used to acquire washing machine power data and first electric heating power data corresponding to the washing machine power data;

[0076] The gear division module 502 is connected to the first acquisition module 500 and is used to divide the first electrothermal power data into gears using a clustering algorithm to obtain a target power gear and second electrothermal power data corresponding to the target power gear;

[0077] The first determination module 504 is connected to the gear division module 502, and is used to determine a first ratio of the number of electric auxiliary heating times to the number of electric heating times in the target power gear, and a second ratio of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the number of electric auxiliary heating times is the number of times the washing machine starts the electric auxiliary heating function in the target power gear, and the number of electric heating times is the total number of times the washing machine generates electric heating in the target power gear;

[0078] The second determination module 506 is connected to the first determination module 504, and is used to determine the electric auxiliary heating power of the washing machine based on the second electric heating power data, the first proportion and the second proportion.

[0079] In the embodiment of the present invention, the first acquisition module 500 is provided to acquire the power data of the washing machine and the first electric heating power data corresponding to the power data of the washing machine; the gear division module 502 is connected to the first acquisition module 500 and is used to divide the first electric heating power data into gears by using a clustering algorithm to obtain a target power gear and the second electric heating power data corresponding to the target power gear; the first determination module 504 is connected to the gear division module 502 and is used to determine a first proportion of the number of electric auxiliary heating times in the target power gear to the number of electric heating times and a second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the number of electric auxiliary heating times The number is the number of times the washing machine starts the electric auxiliary heating function within the above-mentioned target power gear, and the above-mentioned electric heating number is the total number of times the above-mentioned washing machine generates electric heating within the above-mentioned target power gear; the above-mentioned second determination module 506 is connected to the above-mentioned first determination module 504, and is used to determine the electric auxiliary heating power of the above-mentioned washing machine based on the above-mentioned second electric heating power data, the above-mentioned first proportion and the above-mentioned second proportion, thereby achieving the purpose of accurately identifying the electric auxiliary heating power of the washing machine, thereby achieving the technical effect of improving the accuracy of identifying the electric auxiliary heating power of the washing machine and reducing the identification deviation, and further solving the technical problem of poor accuracy in identifying the electric auxiliary heating power caused by directly identifying the electric auxiliary heating power of the washing machine as electric heating power in the related art.

[0080] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0081] It should be noted that the first acquisition module 500, the gear division module 502, the first determination module 504, and the second determination module 506 correspond to steps S102 to S18 in the embodiment, and the examples and application scenarios implemented by the modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment. It should be noted that the modules as part of the device can be run in a computer terminal.

[0082] It should be noted that the optional or preferred implementation of this embodiment can refer to the relevant description in the embodiment, which will not be repeated here.

[0083] The above-mentioned device for determining the electric auxiliary heating power of the washing machine may also include a processor and a memory. The above-mentioned first acquisition module 500, gear division module 502, first determination module 504, second determination module 506, etc. are all stored in the memory as program modules, and the processor executes the above-mentioned program modules stored in the memory to realize corresponding functions.

[0084] The processor includes a kernel, which retrieves the corresponding program module from the memory. The kernel may be one or more. The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory includes at least one memory chip.

[0085] According to an embodiment of the present application, an embodiment of a non-volatile storage medium is also provided. Optionally, in this embodiment, the non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute any of the above methods for determining the electric auxiliary heating power of a washing machine.

[0086] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group, and the non-volatile storage medium includes a stored program.

[0087] Optionally, when the program is running, the device where the non-volatile storage medium is located is controlled to perform the following functions: obtain washing machine power data, and first electric heating power data corresponding to the above washing machine power data; use a clustering algorithm to divide the above first electric heating power data into gears to obtain a target power gear, and second electric heating power data corresponding to the above target power gear; determine a first proportion of the number of electric auxiliary heating times in the above target power gear to the number of electric heating times, and a second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the above electric auxiliary heating times is the number of times the washing machine starts the electric auxiliary heating function in the above target power gear, and the above electric heating times is the total number of times the washing machine generates electric heating in the above target power gear; based on the above second electric heating power data, the above first proportion and the above second proportion, determine the electric auxiliary heating power of the above washing machine.

[0088] According to an embodiment of the present application, an embodiment of a processor is also provided. Optionally, in this embodiment, the processor is used to run a program, wherein when the program is run, any one of the above methods for determining the electric auxiliary heating power of a washing machine is executed.

[0089] According to an embodiment of the present application, an embodiment of a computer program product is also provided. When executed on a data processing device, the program is suitable for executing the steps of initializing any of the above-mentioned methods for determining the electric auxiliary heating power of a washing machine.

[0090] Optionally, the above-mentioned computer program product, when executed on a data processing device, is suitable for executing a program initialized with the following method steps: obtaining washing machine power data, and first electric heating power data corresponding to the above-mentioned washing machine power data; using a clustering algorithm to divide the above-mentioned first electric heating power data into gears to obtain a target power gear, and second electric heating power data corresponding to the above-mentioned target power gear; determining a first proportion of the number of electric auxiliary heating times in the above-mentioned target power gear to the number of electric heating times, and a second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the above-mentioned electric auxiliary heating times is the number of times the washing machine starts the electric auxiliary heating function in the above-mentioned target power gear, and the above-mentioned electric heating times is the total number of times the above-mentioned washing machine generates electric heating in the above-mentioned target power gear; based on the above-mentioned second electric heating power data, the above-mentioned first proportion and the above-mentioned second proportion, determine the electric auxiliary heating power of the above-mentioned washing machine.

[0091] An embodiment of the present invention provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the following steps are implemented: obtaining power data of a washing machine, and first electric heating power data corresponding to the power data of the washing machine; using a clustering algorithm to divide the first electric heating power data into gears to obtain a target power gear, and second electric heating power data corresponding to the target power gear; determining a first proportion of electric auxiliary heating times in the target power gear to electric heating times, and a second proportion of electric auxiliary heating times in the washing machine usage times, wherein the electric auxiliary heating times are the number of times the washing machine starts the electric auxiliary heating function in the target power gear, and the electric heating times are the total number of times the washing machine generates electric heating in the target power gear; based on the second electric heating power data, the first proportion and the second proportion, determining the electric auxiliary heating power of the washing machine.

[0092] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0093] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0094] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the above modules can be a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, modules or indirect coupling or communication connection of modules, which can be electrical or other forms.

[0095] The modules described above as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0096] 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 software functional modules.

[0097] If the above-mentioned integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable non-volatile storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a non-volatile storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned non-volatile storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0098] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining the electric auxiliary heating power of a washing machine, characterized in that: include: Acquire washing machine power data and first electric heating power data corresponding to the washing machine power data; Using a clustering algorithm to divide the first electrothermal power data into gears to obtain a target power gear and second electrothermal power data corresponding to the target power gear; Determine a first ratio of the number of electric auxiliary heating times to the number of electric heating times within the target power gear, and a second ratio of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the number of electric auxiliary heating times is the number of times the washing machine starts the electric auxiliary heating function within the target power gear, and the number of electric heating times is the total number of times the washing machine generates electric heating within the target power gear; determining the electric auxiliary heating power of the washing machine based on the second electric heating power data, the first proportion and the second proportion; Among them, the step of using a clustering algorithm to divide the first electrothermal power data into gears to obtain a target power gear and the second electrothermal power data corresponding to the target power gear includes: using the clustering algorithm to divide the first electrothermal power data into gears to obtain a first number of initial power gears and gear numbers corresponding to the first number of initial power gears, wherein the gear numbers are determined based on the power sizes corresponding to the first number of initial power gears, and the first number of initial power gears are arranged according to the gear numbers; obtaining two adjacent power gears corresponding to any two adjacent gear numbers in the first number of initial power gears, determining a power lower limit value of a power gear corresponding to a previous number of the two adjacent power gears, and a power upper limit value of a power gear corresponding to a later number of the two adjacent power gears; determining a power difference between the power lower limit value and the power upper limit value; judging whether the power difference value is less than a predetermined power difference value; if the power difference value is less than the predetermined power difference value, merging the two adjacent power gears to obtain the target power gear and the second electrothermal power data corresponding to the target power gear.

2. The method according to claim 1, characterized in that Before determining a first proportion of the number of times of electric auxiliary heating to the number of times of electric heating within the target power level, and a second proportion of the number of times of electric auxiliary heating to the number of times the washing machine is used, the method further includes: Obtaining the number of times the washing machine is started within the target power level and the corresponding start-up time of the washing machine; The number of electric heating times is determined based on the number of starts and the start duration.

3. The method according to claim 1, characterized in that When the target power level is one, determining the electric auxiliary heating power of the washing machine based on the second electric heating power data, the first proportion and the second proportion includes: Determine whether the first proportion is greater than a preset first proportion threshold, and determine whether the second proportion is greater than a preset second proportion threshold; If the first proportion is greater than the preset first proportion threshold, and the second proportion is greater than the preset second proportion threshold, the second electric heating power data is used as the electric auxiliary heating power of the washing machine.

4. The method according to claim 1, characterized in that: In the case where there are multiple target power levels, determining the electric auxiliary heating power of the washing machine based on the second electric heating power data, the first proportion and the second proportion includes: Determine whether there is a first power gear in which the first proportion is greater than a preset first proportion threshold and the second proportion is greater than a preset second proportion threshold among multiple target power gears; When it is determined that there is at least one first power gear among the multiple target power gears, acquiring the second proportions respectively corresponding to the at least one first power gear; The second electric heating power data corresponding to the second power level with the largest proportion among the at least one first power level is used as the electric auxiliary heating power of the washing machine.

5. The method according to any one of claims 1 to 4, characterized in that: The acquiring washing machine power data and first electric heating power data corresponding to the washing machine power data includes: Obtain non-intrusive load data corresponding to the target account; Determine, based on the non-intrusive load data, the power data of the washing machine corresponding to the target account, and the corresponding start and end time of the washing machine; The first electric heating power data is determined based on the start operation time and the end operation time.

6. The method according to claim 5, characterized in that The determining, based on the non-intrusive load data, the washing machine power data corresponding to the target account, and the corresponding start and end operation time of the washing machine includes: Processing the non-intrusive load data to obtain processed non-intrusive load data, wherein the processing at least includes: removing data in the non-intrusive load data in which the single operation duration of the washing machine is greater than a preset first duration, and removing data in the non-intrusive load data in which the single operation duration of the washing machine is greater than a preset second duration within a preset time period, wherein the preset first duration is greater than the preset second duration; Based on the processed non-intrusive load data, the washing machine power data corresponding to the target account and the corresponding start operation time and end operation time of the washing machine are determined.

7. A device for determining the electric auxiliary heating power of a washing machine, characterized in that: include: A first acquisition module, used to acquire washing machine power data and first electric heating power data corresponding to the washing machine power data; a gear division module, used for performing gear division on the first electrothermal power data by using a clustering algorithm to obtain a target power gear and second electrothermal power data corresponding to the target power gear; a first determining module, configured to determine a first proportion of the number of electric auxiliary heating times in the target power gear to the number of electric heating times, and a second proportion of the number of electric auxiliary heating times to the number of times the washing machine is used, wherein the number of electric auxiliary heating times is the number of times the washing machine starts the electric auxiliary heating function in the target power gear, and the number of electric heating times is the total number of times the washing machine generates electric heating in the target power gear; a second determining module, configured to determine the electric auxiliary heating power of the washing machine based on the second electric heating power data, the first proportion, and the second proportion; Among them, the gear division module is also used to: use the clustering algorithm to divide the first electrothermal power data into gears to obtain a first number of initial power gears, and the gear numbers corresponding to the first number of initial power gears, wherein the gear numbers are determined based on the power sizes corresponding to the first number of initial power gears, and the first number of initial power gears are arranged according to the gear numbers; obtain two adjacent power gears corresponding to any two adjacent gear numbers in the first number of initial power gears, determine the power lower limit value of the power gear corresponding to the previous number of the two adjacent power gears, and the power upper limit value of the power gear corresponding to the next number of the two adjacent power gears; determine the power difference between the power lower limit value and the power upper limit value; determine whether the power difference value is less than the predetermined power difference value; if the power difference value is less than the predetermined power difference value, merge the two adjacent power gears to obtain the target power gear, and the second electrothermal power data corresponding to the target power gear.

8. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method for determining the electric auxiliary heating power of a washing machine as described in any one of claims 1 to 6.

9. An electronic device, characterized in that: It includes one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the electric auxiliary heating power of the washing machine as described in any one of claims 1 to 6.

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