Method and device for calculating energy consumption of intelligent household appliances, and smart home system

Abstract

The present application relates to the technical field of smart home, and discloses a method for calculating the energy consumption of smart home appliances, including: obtaining the operation information and basic information of various smart home appliances, where the basic information includes the energy consumption information and quantity of each type of smart home appliance; determining the corresponding energy-saving level index according to the operation information and energy consumption information of the smart home appliances; determining the energy-saving coefficient of each type of smart home appliance according to the energy consumption information and energy-saving level index; calculating the comprehensive energy-saving level index of all smart home appliances according to the quantity, energy-saving level index and energy-saving coefficient of each type of smart home appliance. This method can help users understand the comprehensive energy consumption situation of smart home appliances under their usage habits and the energy consumption situation of each smart home appliance, and then assist users in identifying high-energy-consuming behaviors. Thus, it can assist users in reducing high-energy-consuming behaviors to achieve energy conservation. The present application also discloses a device, a smart home system and a storage medium for calculating the energy consumption of smart home appliances.

Description

Technical Field

[0001] This application relates to the technical field of smart home, and for example, relates to a method, a device, a smart home system and a storage medium for calculating the energy consumption of intelligent household appliances. Background Art

[0002] At present, the concept of energy conservation and emission reduction has gradually penetrated into each user's home, but users do not understand the energy-saving situation of the intelligent household appliances in their homes, resulting in users being unable to achieve energy-saving management of intelligent household appliances.

[0003] In the related art, an intelligent household appliance energy-saving method, system and storage medium based on user behavior are disclosed. The method includes: Step 1, determining the types of input information of intelligent household appliances of a target type in a household appliance classification database; Step 2, collecting input information according to the types of input information, where the input information includes environmental parameters and / or user information; and Step 3, inputting the input information into a user behavior database and outputting target output information corresponding to the input information. The user behavior database includes the correspondence between the input information and the target output information of each type of intelligent household appliance, and the target output information is used to indicate the best energy-saving operation for the intelligent household appliances of the target type.

[0004] In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:

[0005] In the related art, in the case of user input information, the best energy-saving intelligent household appliance usage plan is output for the user in combination with the input information. However, this usage plan cannot meet the user's usage habits while saving energy.

[0006] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0007] To have a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. The summary is not a general review, nor is it intended to identify key / important constituent elements or delineate the protection scope of these embodiments, but rather serves as a preface to the subsequent detailed description.

[0008] The embodiments of the present disclosure provide a method, a device, a smart home system and a storage medium for calculating the energy consumption of intelligent household appliances, so as to calculate the energy-saving situation of intelligent household appliances based on the user's usage habits, and further assist the user to achieve energy conservation.

[0009] In some embodiments, the method includes: obtaining the operation information and basic information of various types of smart home appliances, where the basic information includes the energy consumption information and quantity of each type of smart home appliance; determining the corresponding energy-saving level index according to the operation information and energy consumption information of the smart home appliances; determining the energy-saving coefficient of each type of smart home appliance according to the energy consumption information and energy-saving level index; and calculating the comprehensive energy-saving level index of all smart home appliances according to the quantity, energy-saving level index, and energy-saving coefficient of the smart home appliances.

[0010] In some embodiments, the device includes: a processor and a memory storing program instructions, where the processor is configured to execute the method for calculating the energy consumption of smart home appliances as described above when running the program instructions.

[0011] In some embodiments, the smart home system includes: a plurality of smart home appliances; and the device for calculating the energy consumption of smart home appliances as described above, which is installed in any one of the smart home appliances.

[0012] In some embodiments, the storage medium stores program instructions, and the program instructions execute the method for calculating the energy consumption of smart home appliances as described above when running.

[0013] The method, device, smart home system, and storage medium for calculating the energy consumption of smart home appliances provided by the embodiments of the present disclosure can achieve the following technical effects:

[0014] In the embodiments of the present disclosure, based on the operation information and basic information of various types of smart home appliances in the user's home, the energy-saving level index and energy-saving coefficient of the smart home appliances are determined. Furthermore, based on the energy-saving level index, energy-saving coefficient, and basic information of the smart home appliances, the comprehensive energy-saving level index of all smart home appliances is calculated. In this way, it can help the user understand the comprehensive energy consumption situation of the smart home appliances under their usage habits and the energy consumption situation of each smart home appliance, and then assist the user in identifying high-energy-consuming behaviors. Thus, it helps the user reduce high-energy-consuming behaviors to achieve energy conservation.

[0015] The above general description and the following description are only exemplary and explanatory, and are not used to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] One or more embodiments are exemplarily illustrated by the corresponding drawings. These exemplary illustrations and the drawings do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements. The drawings do not constitute a scale limitation, and among them:

[0017] Figure 1 is a schematic diagram of a method for calculating the energy consumption of smart home appliances provided by an embodiment of the present disclosure;

[0018] Figure 2 It is a schematic diagram of another method provided by an embodiment of the present disclosure for calculating the energy consumption of intelligent household appliances;

[0019] Figure 3 It is a schematic diagram of another method provided by an embodiment of the present disclosure for calculating the energy consumption of intelligent household appliances;

[0020] Figure 4 It is a schematic diagram of another method provided by an embodiment of the present disclosure for calculating the energy consumption of intelligent household appliances;

[0021] Figure 5 It is a schematic diagram of a device provided by an embodiment of the present disclosure for calculating the energy consumption of intelligent household appliances;

[0022] Figure 6 It is a schematic diagram of a device provided by an embodiment of the present disclosure for calculating the energy consumption of intelligent household appliances;

[0023] Figure 7 It is a schematic diagram of a smart home system provided by an embodiment of the present disclosure. Detailed implementation manners

[0024] In order to be able to understand the features and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. The attached drawings are only for reference and explanation purposes, and are not used to limit the embodiments of the present disclosure. In the following technical description, for the sake of explanation, multiple details are provided to provide a full understanding of the disclosed embodiments. However, one or more embodiments can still be implemented without these details. In other cases, well-known structures and devices can be shown in a simplified manner to simplify the drawings.

[0025] In the specification, claims and above-mentioned drawings of the embodiments of the present disclosure, terms such as "first", "second", etc. are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so as to implement the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion.

[0026] Unless otherwise stated, the term "plurality" means two or more.

[0027] In the embodiments of the present disclosure, the character " / " indicates that the objects before and after are in an "or" relationship. For example, A / B means: A or B.

[0028] The term "and / or" is an associative relationship describing an object, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B these three relationships.

[0029] The term "corresponding" may refer to an association relationship or a binding relationship. That A corresponds to B means there is an association relationship or a binding relationship between A and B.

[0030] In the embodiments of the present disclosure, an intelligent household appliance device refers to a household appliance product formed by introducing microprocessor technology, sensor technology, and network communication technology into household appliance devices, which has the characteristics of intelligent control, intelligent perception, and intelligent application. The operation process of intelligent household appliance devices often depends on the application and processing of modern technologies such as the Internet of Things, the Internet, and electronic chips. For example, an intelligent household appliance device can be connected to an electronic device to realize remote control and management of the intelligent household appliance device by the user.

[0031] Combined with Figure 1 As shown, the embodiments of the present disclosure provide a method for calculating the energy consumption of intelligent household appliance devices, including:

[0032] S101, the processor obtains the operation information and basic information of various intelligent household appliance devices, and the basic information includes the energy consumption information and quantity of the intelligent household appliances.

[0033] S102, the processor determines the corresponding energy-saving level index according to the operation information and energy consumption information of the intelligent household appliance devices.

[0034] S103, the processor determines the energy-saving coefficient according to the energy consumption information and the energy-saving level index.

[0035] S104, the processor calculates the comprehensive energy-saving level index of all intelligent household appliance devices according to the quantity, energy-saving level index, and energy-saving coefficient of the intelligent household appliance devices.

[0036] Here, the intelligent household appliance devices include different categories, and the models and quantities of the intelligent household appliance devices in each category may also vary, and the energy consumption information of the intelligent household appliance devices of the same category with different models is also different. Therefore, it is necessary to obtain the basic information of all intelligent household appliance devices. Among them, the basic information of all intelligent household appliance devices is stored locally or in a cloud server and can be retrieved from the server when in use. At the same time, the operation information of the intelligent household appliance devices is obtained, and the operation information includes the on / off state, operation mode, operation parameters, etc. As an example, the intelligent household appliance device includes an air conditioner, and the operation state of the air conditioner includes the air conditioner operation mode and operation parameters, and the operation parameters include the set temperature, wind speed, air deflector position, etc.

[0037] Subsequently, based on the operating status and energy consumption information of the smart home appliances, the energy-saving level index of the smart home appliances is determined. Specifically, for the operating information and energy consumption information of each type of smart home appliances, the energy-saving level index is divided. Among them, the energy-saving level index division method for each type of smart home appliances is different. As an example, the smart home appliances in the air conditioning equipment category include air conditioners, humidifiers, purifiers, etc. The division of the energy-saving level index of the smart home appliances under this category is related not only to the operating status but also to the operating parameters. The smart home appliances in the refrigeration equipment category include freezers, refrigerators, etc. The division of the energy-saving level index of the smart home appliances under this category is related to the operating status and energy consumption information. The smart home appliances in the kitchen and bathroom category include water heaters, washing machines, etc. The energy-saving level index of the smart home appliances under this category is only related to the operating mode. In this way, the energy-saving level index of various smart home appliances is determined.

[0038] Furthermore, based on the energy consumption information and energy-saving level index of the smart home appliances, the corresponding energy-saving coefficient is determined. Here, the energy-saving coefficient can be the energy-saving coefficient of each smart home appliance, or the energy-saving coefficient of each type of smart home appliance (also known as the class energy-saving coefficient). Specifically, the energy-saving coefficient of each (each type of) smart home appliance mainly depends on the energy consumption information and energy-saving level index of this appliance (this type of appliance). When the power consumption of a certain (certain type of) appliance is large, even if the value of the energy-saving level index of this appliance (this type of appliance) is larger (here it is stipulated that the higher the level of the energy-saving level index, the larger the value of the energy-saving level index, indicating lower energy consumption of the appliance), the proportion of the energy-saving coefficient of this appliance (this type of appliance) will not be too high. However, the energy-saving level index is also another important factor affecting the energy-saving coefficient. Therefore, based on the energy consumption information and energy-saving level index, the energy-saving coefficient of this type of appliance is determined. Among them, the classification of smart home appliances can refer to smart home appliances of the same category, or smart home appliances of the next lower category of the same category. For example, freezers and refrigerators in the refrigeration equipment category are smart home appliances of the same type. Air conditioning equipment in the air conditioning equipment category is of the same type, while humidifiers, purifiers, etc. belong to another type. It can be understood that the energy-saving coefficient of each type of smart home appliance mainly depends on the energy consumption information and energy-saving level index of this type of appliance. Finally, combining the number, energy-saving level index, and energy-saving coefficient of the smart home appliances, the comprehensive energy-saving level index of all smart home appliances is calculated. Here, the weighted average algorithm is used to calculate the comprehensive energy-saving level index of all home appliances. In this way, users can understand the comprehensive energy-saving situation of the smart home appliances at home, as well as the energy-saving situation of each appliance. Furthermore, users can, based on the information they have learned, choose to adjust the operating information of relevant equipment, thereby assisting users in achieving energy conservation.

[0039] By using the method for calculating the energy consumption of intelligent household appliances provided in the embodiments of the present disclosure, based on the operation information and basic information of various intelligent household appliances in the user's home, the energy-saving level index and energy-saving coefficient of the intelligent household appliances are determined. Furthermore, based on the energy-saving level index, energy-saving coefficient and basic information of the intelligent household appliances, the energy consumption labels of all intelligent household appliances are calculated. In this way, it can help users understand the comprehensive energy consumption situation of intelligent household appliances under their usage habits and the energy consumption situation of each intelligent household appliance, and further assist users in identifying high-energy-consuming behaviors. Thus, it helps users reduce high-energy-consuming behaviors and achieve energy conservation.

[0040] Optionally, in step S102, the processor determines the corresponding energy-saving level index according to the operation information and energy consumption information of the intelligent household appliance, including:

[0041] The processor determines the situation of the energy consumption label according to the first correspondence between the operation information of the intelligent household appliance and the energy consumption label.

[0042] In the case where there is an energy consumption label, the processor determines the corresponding energy-saving level index according to the energy consumption label.

[0043] In the case where there is no energy consumption label, the processor determines the corresponding energy-saving level index according to the energy consumption information.

[0044] In the embodiments of the present disclosure, the energy consumption information includes the energy consumption identifier of the intelligent household appliance. Generally, the energy consumption identifier is divided into five grades. The lower the energy consumption, the smaller the identifier number. In addition, here, based on the operation information of the device, the energy consumption label is customized, and the energy consumption label is divided into four levels: ultra-high, high, medium, and low. As described above, the operation information related to the energy-saving level index of different types of intelligent household appliances is different. Therefore, for different types of intelligent household appliances, the first correspondence between their operation information and the energy consumption label is different.

[0045] As an example, for air conditioners, high - energy - consumption labels and low - energy - consumption labels are set, and the operating parameters that meet the high - energy - consumption labels are defined. Specifically, these include a high set temperature of the air conditioner, an improper air - swing position of the air conditioner, low - wind - high - frequency heating of the air conditioner, a short start - up interval of the air conditioner, etc. When the air conditioner is running, if any of the operating parameters is met, the air conditioner is determined to have a high - energy - consumption label. When the operating information of the air conditioner does not meet any of the above high - energy - consumption labels, the air conditioner is determined to have a low - energy - consumption label, and this low - energy - consumption label is unique. Among them, an improper air - swing position of the air conditioner means that the direction of the air deflector of the air conditioner does not conform to downward air - guiding for heating or upward air - guiding for cooling. As another example, for refrigerators and freezers, only high - energy - consumption labels are set. The operating parameter that meets the high - energy - consumption label is that the number of times the refrigerator / freezer door is opened and closed per unit time is greater than the set number. As another example, for water heaters, four energy - consumption labels of ultra - high, high, medium, and low are set. According to the operating mode of the water heater, the type of the energy - consumption label is determined. Specifically, the following modes of the water heater are defined to correspond to the low - energy - consumption label: timed - switch mode, reserved - water - use mode, cloud smart mode. The following modes correspond to the medium - energy - consumption label: my - day mode, weekday - morning mode. The following modes correspond to the high - energy - consumption label: intelligent housekeeper mode, automatic - shutdown mode. Other modes other than the above modes correspond to the ultra - high - energy - consumption label.

[0046] Furthermore, based on the obtained operating information of the smart home appliances, it is determined whether there is a matching energy - consumption label. If there is a match, according to the matching energy - consumption label, the energy - saving grade index (which can be applied to devices such as water heaters and air conditioners) is determined. If there is no matching energy - consumption label, according to the energy - consumption label of the smart home appliance device, the energy - saving grade index (which can be applied to devices such as refrigerators) is determined. Among them, the corresponding relationship table between the energy - consumption label and the energy - saving grade index also depends on the category of the smart home appliance device. The smaller the energy - consumption label number, the higher the corresponding energy - saving grade index level. The energy - saving grade index can be divided into four levels from high to low: excellent, good, medium, and general. The higher the energy - saving grade index level, the lower the energy consumption of the device.

[0047] As an example, since only high - energy - consumption labels are defined for refrigerator - type devices, if the operating information of the refrigerator - type device does not match the high - energy - consumption label, the corresponding energy - saving grade index is determined according to the energy - consumption information of the device. Optionally, according to the model of the device, the energy - consumption label is determined, and then the energy - saving grade index is determined. For example, the energy - consumption label is divided into five grades from 1 to 5. Then, the energy - saving grade indexes corresponding to grades 1 and 2 are excellent, the energy - saving grade index corresponding to grade 3 is good, and the energy - saving grade indexes corresponding to grades 4 and 5 are medium.

[0048] Optionally, the processor determines the corresponding energy - saving grade index according to the energy - consumption label, including:

[0049] When the energy consumption label of the smart home appliance device is unique, the processor determines the corresponding energy-saving level index according to the second correspondence between the energy consumption label and the energy-saving level index.

[0050] When the energy consumption label of the smart home appliance device is not unique, the processor determines the energy-saving level index of the smart home appliance device according to multiple energy consumption labels and the category of the smart home appliance device.

[0051] In the embodiments of the present disclosure, the uniqueness of the energy consumption label means that both the type and quantity of the energy consumption label are unique. The non-uniqueness of the energy consumption label means that the type of the energy consumption label is not unique and / or the quantity of the energy consumption label is not unique. Specifically, when the energy consumption label is unique, the corresponding energy-saving level index is determined according to the second correspondence between the energy consumption label of the smart home appliance device and the energy-saving level index (see Table 1).

[0052] Table 1

[0053]

[0054]

[0055] When the energy consumption label is not unique, it indicates that the energy consumption label may be of multiple different types or may be of multiple of the same type. For example, some of the aforementioned multiple modes of the water heater can coexist, such as the intelligent housekeeper mode can coexist with other modes. The aforementioned high energy consumption label of the air conditioner corresponds to multiple operating parameters, so there are multiple high energy consumption labels. For the case where the energy consumption label is not unique, the energy-saving level index of the smart home appliance device is further determined based on the category of the smart home appliance device and multiple energy consumption labels.

[0056] Optionally, the processor determines the energy-saving level index of the smart home appliance device according to multiple energy consumption labels and the category of the smart home appliance device, including:

[0057] When the category of the smart home appliance device is a water heater category, the processor uses the energy-saving level index corresponding to the highest-level energy consumption label as the energy-saving level index of the smart home appliance device.

[0058] When the category of the smart home appliance device is an air conditioner category, the processor determines the energy-saving level index according to the quantity of the energy consumption label.

[0059] Here, when the category of the smart home appliance device is a water heater, the priorities of multiple energy consumption labels are obtained, and the energy-saving level index corresponding to the energy consumption label with the highest priority is used as the energy-saving level index of the smart home appliance device. Among them, the priority order of the energy consumption labels is from high to low as low energy consumption, medium energy consumption, high energy consumption, and ultra-high energy consumption. For example, when the energy consumption labels of the water heater category include low energy consumption and medium energy consumption, the determined energy-saving level index is excellent. When the category of the smart home appliance device is an air conditioner, the energy-saving level index is determined according to the number of high energy consumption labels. Among them, it is defined that the energy-saving level index corresponding to two high energy consumption labels is medium, and the energy-saving level index corresponding to more than three high energy consumption labels is general.

[0060] Combined with Figure 2 As shown, the embodiments of the present disclosure provide another method for calculating the energy consumption of smart home appliance devices, including:

[0061] S101, the processor obtains the operation information and basic information of the smart home appliance device, and the basic information includes the energy consumption information and quantity of the smart home appliance.

[0062] S102, the processor determines the corresponding energy-saving level index according to the operation information and energy consumption information of the smart home appliance device.

[0063] S131, the processor determines the initial energy-saving coefficient according to the energy consumption information. Among them, the greater the power consumption indicated by the energy consumption information, the smaller the initial energy-saving coefficient.

[0064] S132, the processor corrects the initial energy-saving coefficient according to the energy-saving level index, and uses the corrected energy-saving coefficient as the final energy-saving coefficient.

[0065] S104, the processor calculates the comprehensive energy-saving level index of all smart home appliance devices according to the quantity, energy-saving level index, and energy-saving coefficient of the smart home appliance devices.

[0066] In the embodiments of the present disclosure, the sum of the initial energy-saving coefficients of multiple smart home appliance devices or multiple types of smart home appliance devices is 1. The initial energy-saving coefficient corresponding to each device can be determined according to the energy consumption information of each smart home appliance device, or the initial energy-saving coefficient corresponding to each type of device can be determined according to the total energy consumption information of each type of smart home appliance device. Among them, the energy consumption information includes the power consumption (referring to the power consumption of each device or the total power consumption of each type of device), and the greater the power consumption, the smaller the initial energy-saving coefficient. Generally, the initial energy-saving coefficient of air conditioner devices is less than that of refrigerator devices, and the initial energy-saving coefficient of refrigerator devices is less than that of water heater devices. Among them, the power consumption refers to the power consumption per unit time.

[0067] After determining the initial energy-saving coefficient, the initial energy-saving coefficient is corrected based on the energy-saving level index. Among them, when the energy-saving coefficient is the energy-saving coefficient of each type of smart home appliance device, the energy-saving level index of each type of device refers to the class energy-saving level index of a certain type of device. For example, an air conditioner class device includes three air conditioners, and their corresponding energy-saving level indexes are excellent (value 4), medium, and medium (value 2). Then the value of the class energy-saving level index of the air conditioner class is 2.7, approximately equal to 2, and the energy-saving level index of the air conditioner class is medium.

[0068] Optionally, when the energy-saving coefficient is the energy-saving coefficient of each type of smart home appliance device, in S132, the processor corrects the initial energy-saving coefficient according to the energy-saving level index, including:

[0069] The processor determines the class energy-saving level index of each type of smart home appliance device according to the energy-saving level index of each smart home appliance device.

[0070] In the case where the energy-saving level indicated by the class energy-saving level index is higher, the processor positively corrects the initial energy-saving coefficient.

[0071] In the case where the energy-saving level indicated by the class energy-saving level index is lower, the processor negatively corrects the initial energy-saving coefficient.

[0072] Here, the higher the energy-saving level of the class energy-saving level index, the higher the initial energy-saving coefficient of this type of device. The lower the energy-saving level of the class energy-saving level index, the lower the initial energy-saving coefficient of this type of device. Specifically, when the class energy-saving level index is greater than or equal to good, the initial energy-saving coefficient is increased. When the class energy-saving level index is less than or equal to medium, the initial energy-saving coefficient is decreased. In this way, the comprehensive energy-saving level index in the user's home can more accurately reflect the user's power consumption situation.

[0073] Optionally, the processor corrects the initial energy-saving coefficient, including:

[0074] In the case of the same class energy-saving level index, the greater the power consumption of the smart home appliance device class, the greater the correction amplitude.

[0075] Here, for a certain type of intelligent household appliance device, the higher the class energy-saving level, the not necessarily greater the correction range of its initial energy-saving coefficient. If a certain type of device with a higher class energy-saving level also has a greater power consumption, then the correction range is greater. Take refrigerator devices and air conditioner devices as examples. The power consumption of air conditioner devices is greater than that of refrigerator devices. The high energy-consuming behavior of refrigerator devices is frequently opening and closing the refrigerator door. Even if the high energy-consuming behavior of refrigerator devices is eliminated, it will not have a significant impact on the power consumption of refrigerator devices. However, the power consumption of air conditioner devices is large, and the impact of their high energy-consuming behavior on power consumption is relatively significant. Therefore, the correction range of the initial energy-saving coefficient of air conditioner devices is also greater. Among them, the power consumption refers to the sum of the power consumption of a certain type of device within a unit time. When there is only one such device, the power consumption refers to the power consumption of this device per unit time. When there are multiple such devices, the power consumption refers to the power consumption of multiple devices per unit time.

[0076] Optionally, when the energy-saving coefficient is the energy-saving coefficient of each intelligent household appliance device, in S132, the processor corrects the initial energy-saving coefficient according to the energy-saving level index, including:

[0077] In the case where the energy-saving level indicated by the energy-saving level index is higher, the processor positively corrects the initial energy-saving coefficient.

[0078] In the case where the energy-saving level indicated by the energy-saving level index is lower, the processor negatively corrects the initial energy-saving coefficient.

[0079] Here, the higher the energy-saving level of the energy-saving level index, the higher the initial energy-saving coefficient of this device is increased. The lower the energy-saving level of the energy-saving level index, the lower the initial energy-saving coefficient of this device is decreased. Specifically, when the energy-saving level index is greater than or equal to good, the initial energy-saving coefficient is increased. When the energy-saving level index is less than or equal to medium, the initial energy-saving coefficient is decreased. In this way, the comprehensive energy-saving level index in the user's home can more accurately reflect the user's power consumption situation.

[0080] Optionally, the processor corrects the initial energy-saving coefficient, including:

[0081] In the case of the same energy-saving level index, the greater the power consumption of the intelligent household appliance device, the greater the correction range.

[0082] Here, for a certain intelligent household appliance device, the higher the class energy-saving level, the not necessarily greater the correction range of its initial energy-saving coefficient. If a certain device with a higher energy-saving level also has a greater power consumption, then the correction range is greater. Take refrigerators and air conditioners as examples. The power consumption of air conditioners is greater than that of refrigerators. The high energy-consuming behavior of refrigerators is frequently opening and closing the refrigerator door. Even if the high energy-consuming behavior of refrigerator devices is eliminated, it will not have a significant impact on the power consumption of refrigerator devices. However, the power consumption of air conditioner devices is large, and the impact of their high energy-consuming behavior on power consumption is relatively significant. Therefore, the correction range of the initial energy-saving coefficient of air conditioners is also greater. Among them, when there is only one such device, the power consumption refers to the power consumption of this device per unit time.

[0083] Combined Figure 3 As shown, an embodiment of the present disclosure provides another method for calculating the energy consumption of intelligent household appliances, including:

[0084] S101, the processor obtains the operation information and basic information of the intelligent household appliance device, and the basic information includes the energy consumption information and quantity of the intelligent household appliance.

[0085] S102, the processor determines the corresponding energy-saving level index according to the operation information and energy consumption information of the intelligent household appliance device.

[0086] S103, the processor determines the energy-saving coefficient according to the energy consumption information and the energy-saving level index.

[0087] S141, the processor calculates S = (S1 * N1 + S2 * N2 + …… + S i * N i ) / (M1 * N1 + M2 * N2 + …… + M i * N i ); where S represents the value of the comprehensive energy-saving level index of all intelligent household appliance devices; S i represents the sum of the energy-saving level index values of the i-th type of intelligent household appliance device, N i represents the energy-saving coefficient of the i-th type of intelligent household appliance device, and M i represents the quantity of the i-th type of intelligent household appliance device.

[0088] S142, the processor determines the comprehensive energy-saving level index according to S.

[0089] In the embodiment of the present disclosure, the energy-saving coefficient refers to the energy-saving coefficient of each type of intelligent household appliance device. After determining the energy-saving level index of each intelligent household appliance device and the energy-saving coefficient of each type of intelligent household appliance device, the energy-saving level index values of all intelligent household appliance devices in the user's home are calculated. Among them, the energy-saving level index is defined as follows: excellent = 4, good = 3, medium = 2, general = 1. For example, there are 3 air conditioners, 1 water heater, and 2 refrigerators in the user's home. The energy-saving level indexes of the air conditioners are excellent, medium, and general respectively. The energy-saving level index of the water heater is good, and the energy-saving level indexes of the refrigerators are medium and general respectively. N1 = 0.4, N2 = 0.3, N3 = 0.3. Then the energy-saving level index value of all intelligent household appliance devices is 2.3. According to the corresponding relationship between the energy-saving level index and its value, the comprehensive energy-saving level index of all devices can be determined as medium.

[0090] When the energy-saving coefficient is the energy-saving coefficient of each intelligent household appliance device, the above calculation becomes S = (S1 * N1 + S2 * N2 + …… + S i * N i) / (N1+N1+……+N1); At this time, S represents the value of the comprehensive energy-saving level index of all intelligent household appliances; S i represents the value of the energy-saving level index of the i-th intelligent household appliance, N i represents the energy-saving coefficient of the i-th intelligent household appliance. For example, there are 3 air conditioners, 1 water heater, and 2 refrigerators in a user's home. The energy-saving level indexes of the air conditioners are excellent, medium, and average respectively, and the energy-saving coefficients are 0.25, 0.2, and 0.1 respectively. The energy-saving level index of the water heater is good, and the energy-saving coefficient is 0.2. The energy-saving level indexes of the refrigerators are medium and average respectively, and the energy-saving coefficients are 0.15 and 0.1 respectively. Then the energy-saving level index value of all intelligent household appliances is 2.1. According to the corresponding relationship between the energy-saving level index and its value, the comprehensive energy-saving level index of all devices can be determined as medium.

[0091] Combined with Figure 4 shown, another method for calculating the energy consumption of intelligent household appliances provided by an embodiment of the present disclosure includes:

[0092] S201, the processor obtains the operation information and basic information of one or more types of intelligent household appliances, and the basic information includes the energy consumption information and quantity of the intelligent household appliances.

[0093] S202, the processor determines the corresponding energy-saving level index according to the operation information and energy consumption information of the intelligent household appliances.

[0094] S203, the processor calculates the class energy-saving level index of this type of intelligent household appliances according to the energy-saving level indexes of each intelligent household appliance in the same category and the quantity of this type of intelligent household appliances.

[0095] In an embodiment of the present disclosure, since there are multiple types of intelligent household appliances in a user's home, and the energy-saving situation of each type or some types of household appliances is what the user wants to focus on. Therefore, the information of a certain type or some types of intelligent household appliances is obtained here to calculate the energy-saving situation of each type of intelligent household appliances.

[0096] Specifically, as described above, determine the energy-saving level indexes of each intelligent household appliance in a certain type of device. Then, based on the energy-saving level indexes of each intelligent household appliance in the same type of device and the quantity of the household appliances, calculate the class energy-saving level index of this type of intelligent household appliances. More specifically, calculate S i ’ = S i / Mi, where S i represents the sum of the energy-saving level index values of the i-th type of intelligent household appliances, M iRepresents the number of the i-th type of smart home appliance device. Taking the three air conditioners in the user's home mentioned above as an example, the energy-saving level indexes of the three air conditioners are excellent, medium, and average respectively, and the values are 4, 2, and 1 respectively. Then the energy-saving level index value of the air conditioner category is Si’ = (4 + 2 + 1) / 3 = 7 / 3, which is approximately equal to 3, that is, the energy-saving level index of the air conditioner category is good.

[0097] In addition, for the specific implementation manner of step S202, refer to the foregoing, and details are not described herein again.

[0098] Combined with Figure 5 As shown, the embodiment of the present disclosure provides a device 200 for calculating the energy consumption of smart home appliance devices, including an acquisition module 21, a first determination module 22, a second determination module 23, and a calculation module 24. The acquisition module 21 is configured to acquire the operation information and basic information of various types of smart home appliance devices, and the basic information includes the energy consumption information and quantity of each type of smart home appliance. The first determination module 22 is configured to determine the corresponding energy-saving level index according to the operation information and energy consumption information of the smart home appliance device. The second determination module 23 is configured to determine the energy-saving coefficient of each type of smart home appliance device according to the energy consumption information and energy-saving level index. The calculation module 24 is configured to calculate the comprehensive energy-saving level index of all smart home appliance devices according to the quantity, energy-saving level index, and energy-saving coefficient of each type of smart home appliance device.

[0099] Combined with Figure 6 As shown, the embodiment of the present disclosure provides a device 300 for calculating the energy consumption of smart home appliance devices, including a processor 100 and a memory 101. Optionally, the device may further include a communication interface 102 and a bus 103. Among them, the processor 100, the communication interface 102, and the memory 101 can complete mutual communication through the bus 103. The communication interface 102 can be used for information transmission. The processor 100 can call the logical instructions in the memory 101 to execute the method for calculating the energy consumption of smart home appliance devices in the foregoing embodiments.

[0100] In addition, when the logical instructions in the foregoing memory 101 are implemented in the form of a software functional unit and sold or used as an independent product, they can be stored in a computer-readable storage medium.

[0101] The memory 101, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as the program instructions / modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing by running the program instructions / modules stored in the memory 101, that is, implements the method for calculating the energy consumption of smart home appliance devices in the foregoing embodiments.

[0102] The memory 101 may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function. The data storage area may store data created according to the use of the terminal device and the like. In addition, the memory 101 may include a high-speed random access memory and may also include a non-volatile memory.

[0103] Combined with Figure 7 As shown, an embodiment of the present disclosure provides a smart home system 400, including: a plurality of smart home appliances, and the above-mentioned device 200(300) for calculating the energy consumption of smart home appliances. The device 200(300) for calculating the energy consumption of smart home appliances is installed in any one of the smart home appliances. The installation relationship described here is not limited to being placed inside the product, but also includes the installation connection with other components of the product, including but not limited to physical connection, electrical connection, or signal transmission connection, etc. Those skilled in the art can understand that the device 200(300) for calculating the energy consumption of smart home appliances can be adapted to a feasible product body, thereby implementing other feasible embodiments.

[0104] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are configured to execute the above-mentioned method for calculating the energy consumption of smart home appliances.

[0105] The above-mentioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transient computer-readable storage medium.

[0106] The technical solution of the embodiment of the present disclosure may be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiment of the present disclosure. The foregoing storage medium may be a non-transient storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc, etc., which are various media that can store program codes, or may also be a transient storage medium.

[0107] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure, enabling those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, process, and other changes. The embodiments only represent possible variations. Unless explicitly required, the individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terms used in this application are only for describing the embodiments and do not limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to also include the plural forms. Similarly, as used in this application, the term "and / or" refers to any and all possible combinations of one or more of the associated listed items. Additionally, when used in this application, the term "comprise" and its variants "comprises" and / or "comprising" etc. mean the presence of the stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or groups of these. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, or device comprising the element. In this document, each embodiment may focus on the differences from other embodiments, and the same or similar parts between the embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, the relevant parts may refer to the description of the method part.

[0108] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner can depend on the specific application and design constraints of the technical solution. The skilled person can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the embodiments of the present disclosure. The skilled person can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0109] In the embodiments disclosed in this article, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units can be merely a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Additionally, the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect coupling or communication connection of devices or units can be in electrical, mechanical, or other forms. The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment. Additionally, in the embodiments of the present disclosure, the various functional units can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit.

[0110] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the block can occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, which can depend on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks can also occur in a different order than that disclosed in the description. Sometimes, there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, which can depend on the functions involved. Each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for calculating the energy consumption of intelligent household appliances, characterized in that, Including: Obtaining the operation information and basic information of intelligent household appliances, where the basic information includes the energy consumption information and quantity of intelligent household appliances; Determining the corresponding energy-saving level index according to the operation information and energy consumption information of the intelligent household appliance device; among them, determining the corresponding energy-saving level index according to the operation information and energy consumption information of the intelligent household appliance device includes: determining the matching situation of the energy consumption label according to the first corresponding relationship between the operation information of the intelligent household appliance device and the energy consumption label; in the case of the existence of a matching energy consumption label, determining the corresponding energy-saving level index according to the matching energy consumption label; in the case of the non-existence of a matching energy consumption label, determining the corresponding energy-saving level index according to the energy consumption information; Determining the energy-saving coefficient according to the energy consumption information and the energy-saving level index; among them, the influence of the energy consumption information on the energy-saving coefficient is more significant than that of the energy-saving level index on the energy-saving coefficient; Calculating the comprehensive energy-saving level index of all intelligent household appliance devices according to the quantity, energy-saving level index and energy-saving coefficient of the intelligent household appliance devices.

2. The method according to claim 1, wherein Determining the corresponding energy-saving level index according to the energy consumption label, including: In the case where the energy consumption label of the intelligent household appliance device is unique, determining the corresponding energy-saving level index according to the second corresponding relationship between the energy consumption label and the energy-saving level index; In the case where the energy consumption label of the intelligent household appliance device is not unique, determining the energy-saving level index of the intelligent household appliance device according to multiple energy consumption labels and the category of the intelligent household appliance device.

3. The method according to claim 1, characterized in that, The determining the energy-saving coefficient according to the energy consumption information and the energy-saving level index includes: Determining the initial energy-saving coefficient according to the energy consumption information; Correcting the initial energy-saving coefficient according to the energy-saving level index, and taking the corrected energy-saving coefficient as the final energy-saving coefficient; Among them, the greater the power consumption indicated by the energy consumption information, the smaller the initial energy-saving coefficient.

4. The method according to claim 3, characterized in that Correcting the initial energy-saving coefficient according to the energy-saving level index, including: In the case where the energy-saving level indicated by the energy-saving level index is higher, positively correcting the initial energy-saving coefficient; In the case where the energy-saving level indicated by the energy-saving level index is lower, negatively correcting the initial energy-saving coefficient.

5. The method according to claim 4, wherein Correcting the initial energy-saving coefficient includes: In the case of the same energy-saving level index, the greater the power consumption of the intelligent household appliance device category, the greater the correction amplitude.

6. The method according to any one of claims 1 to 5, characterized in that, In the case where the energy-saving coefficient is the energy-saving coefficient of each type of intelligent household appliance device, calculating the comprehensive energy-saving level index of all intelligent household appliance devices according to the quantity, energy-saving level index and energy-saving coefficient of the intelligent household appliances, including: Calculate S = (S1 * N1 + S2 * N2 + …… + S i * N i ) / (M1 * N1 + M2 * N2 + …… + M i * N i ); Determining the comprehensive energy-saving level index according to S; Among them, S represents the value of the comprehensive energy-saving level index of all smart home appliances; S i represents the sum of the values of the energy-saving level indexes of the i-th type of smart home appliances, N i represents the energy-saving coefficient of the i-th type of smart home appliances, M i represents the quantity of the i-th type of smart home appliances.

7. A method for calculating the energy consumption of intelligent household appliances, characterized in that, Including: Obtaining the operation information and basic information of one or more types of intelligent household appliance devices, where the basic information includes the energy consumption information and quantity of the intelligent household appliance devices; Determining the corresponding energy-saving level index according to the operation information and energy consumption information of the intelligent household appliance device; among them, determining the corresponding energy-saving level index according to the operation information and energy consumption information of the intelligent household appliance device includes: determining the matching situation of the energy consumption label according to the first corresponding relationship between the operation information of the intelligent household appliance device and the energy consumption label; in the case of the existence of a matching energy consumption label, determining the corresponding energy-saving level index according to the matching energy consumption label; in the case of the non-existence of a matching energy consumption label, determining the corresponding energy-saving level index according to the energy consumption information; Calculate the class energy-saving level index of the smart home appliance devices of the same category according to the energy-saving level indexes of each smart home appliance device of the same category and the number of smart home appliance devices of this category.

8. A device for calculating the energy consumption of intelligent household appliances, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute the method for calculating the energy consumption of smart home appliance devices according to any one of claims 1 to 7 when running the program instructions.

9. A storage medium stores program instructions, characterized in that, When running, the program instructions execute the method for calculating the energy consumption of smart home appliance devices according to any one of claims 1 to 7.

Images