Electric quantity management method, device and equipment for air conditioner and storage medium

Abstract

The invention discloses an electric quantity management method, device and equipment for an air conditioner and a storage medium. The method comprises the steps that electric quantity metering data representing the power consumption of the air conditioner and parameter information related to operation of the air conditioner are obtained; determining the power consumption of the air conditioner in the unit set time length based on the electric quantity metering data; and if it is determined that the air conditioner is in a high-power-consumption state based on the power consumption, prompt information indicating the reason of the high-power-consumption state is generated based on the parameter information. Thus, when it is determined that the air conditioner is in the high-power-consumption state in the operation process of the air conditioner, the prompt information indicating the reason of the high-power-consumption state is generated based on the parameter information, then the prompt information indicating the reason of the high-power-consumption state can be given in time on the basis of a traditional electric quantity metering function, the user experience can be effectively improved, and the user experience is improved. Therefore, the frequency of complaint events is reduced, and the operation and maintenance workload of electric quantity metering is saved.

Description

Technical Field

[0001] The present application relates to the field of air conditioning, and in particular to a power management method, device, equipment and storage medium for an air conditioner. Background Art

[0002] In the related technology, there is a power management technology that measures the power consumption of the air conditioner separately. However, the air conditioner will be affected by seasonal changes, extreme weather and other factors, causing the power consumption of the air conditioner to fluctuate. Users often complain when the power metering of the air conditioner changes. Relevant staff need to export the operating data of the air conditioner for subsequent analysis, which consumes a lot of manpower and material resources. In addition, the subsequent analysis results are often not understood by users, resulting in frequent complaints and affecting the user experience of the power metering function. Summary of the invention

[0003] In view of this, the embodiments of the present application provide a power management method, device, equipment and storage medium for an air conditioner, aiming to enrich the power metering function and enhance the user experience.

[0004] The technical solution of the embodiment of the present application is implemented as follows:

[0005] In a first aspect, an embodiment of the present application provides a power management method for an air conditioner, comprising:

[0006] Acquiring power metering data representing power consumption of the air conditioner and parameter information related to the operation of the air conditioner;

[0007] Determining the power consumption of the air conditioner per unit set time based on the power metering data;

[0008] If it is determined that the air conditioner is in a high power consumption state based on the power consumption, prompt information indicating a cause of the high power consumption state is generated based on the parameter information.

[0009] In some embodiments, determining that the air conditioner is in a high power consumption state based on the power consumption includes:

[0010] Based on the comparison result of the power consumption and the product value of the rated power of the air conditioner and the unit set time length, if it is determined that the ratio of the power consumption to the product value is greater than or equal to the set ratio threshold, it is determined that the air conditioner is in a high power consumption state.

[0011] In some embodiments, the parameter information includes at least one of the following: air conditioner operation data, weather data of the area where the air conditioner is located, and indoor and outdoor environment data, and the generating of the prompt information indicating the reason for the high power consumption state based on the parameter information includes:

[0012] The prompt information is generated based on correlation analysis of at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data.

[0013] In some embodiments, the generating the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data, and the indoor and outdoor environment data includes:

[0014] Based on the air-conditioning operation data, it is determined whether the air conditioner has turned on the electric auxiliary heating, and if so, first prompt information indicating that the electric auxiliary heating has been turned on is generated.

[0015] In some embodiments, the generating the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data further includes:

[0016] Based on the weather data, it is determined whether the area where the air conditioner is located is currently experiencing extreme weather. If so, a second prompt information indicating abnormal weather is generated.

[0017] In some embodiments, the generating the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data further includes:

[0018] If it is determined based on the indoor and outdoor environmental data that the capacity of the air conditioner does not match the current environmental area, a third prompt message is generated to instruct the inspection of doors and windows or to replace the air conditioner with a suitable capacity.

[0019] In some embodiments, the method further comprises:

[0020] The power consumption of each of the set time units when the air conditioner is in a high power consumption state is identified, and the corresponding parameter information is stored.

[0021] In some embodiments, the method further comprises:

[0022] Display the prompt information and / or send the prompt information to a terminal device.

[0023] In a second aspect, an embodiment of the present application provides a power management device for an air conditioner, comprising:

[0024] An acquisition module, used to acquire power metering data representing power consumption of the air conditioner and parameter information related to the operation of the air conditioner;

[0025] An electricity metering module, used for determining the electricity consumption of the air conditioner in a unit set time period based on the electricity metering data;

[0026] A prompt module is used to determine that the air conditioner is in a high power consumption state based on the power consumption, and generate prompt information indicating the reason for the high power consumption state based on the parameter information.

[0027] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory for storing a computer program that can be run on the processor, wherein the processor, when running the computer program, executes the steps of the method described in the first aspect of the embodiment of the present application.

[0028] In a fourth aspect, an embodiment of the present application provides a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the method described in the first aspect of the embodiment of the present application are implemented.

[0029] The technical solution provided by the embodiment of the present application obtains power metering data characterizing the power consumption of the air conditioner and parameter information related to the operation of the air conditioner; determines the power consumption of the air conditioner in a unit set time based on the power metering data; determines that the air conditioner is in a high power consumption state based on the power consumption, and generates prompt information indicating the reason for the high power consumption state based on the parameter information. In this way, when it is determined that the air conditioner is in a high power consumption state during the operation of the air conditioner, prompt information indicating the reason for the high power consumption state can be generated based on the parameter information, and then prompt information indicating the reason for the high power consumption state can be given in a timely manner on the basis of the traditional power metering function, which can effectively improve the user experience, thereby reducing the frequency of complaints and saving the operation and maintenance workload of power metering. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A schematic diagram of a flow chart of a power management method for an air conditioner according to an embodiment of the present application;

[0031] Figure 2 A schematic diagram of the principle of power management of an air conditioner in an application example of the present application;

[0032] Figure 3 A flowchart of a power management method for an air conditioner in an application example of the present application;

[0033] Figure 4 This is a schematic diagram of the structure of the power management device of the air conditioner according to the embodiment of the present application;

[0034] Figure 5 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0035] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0037] The embodiment of the present application provides a power management method for an air conditioner, which is used to adjust the temperature, humidity, etc. of the environment. The air conditioner can be a cooling-only air conditioner or a cooling-heating dual-purpose air conditioner, and the air conditioner can be a wall-mounted air conditioner, a cabinet air conditioner, a window air conditioner, or a ceiling air conditioner, etc., which is not specifically limited in the embodiment of the present application.

[0038] In the related art, there are users who complain about the inaccurate electricity metering of air conditioners. The relevant staff need to export the operating data of the air conditioners for post-analysis, which consumes a lot of manpower and material resources. In addition, the post-analysis results are often not understood by users, resulting in frequent complaints and affecting the user experience of the electricity metering function. For example, post-analysis points out that the user turned on the electric auxiliary heating, opened the door, opened the window, etc., but the user can no longer recall the relevant circumstances of using the air conditioner at the beginning, and subjectively believes that the above reasons are the staff's post-blame, resulting in frequent complaints and affecting the user experience.

[0039] Based on this, an embodiment of the present application provides a power management method for an air conditioner, which can provide intelligent prompts for power metering during the operation of the air conditioner, thereby enriching the power metering function and effectively improving the user experience.

[0040] It should be noted that the power management method can be applied to an air conditioner or a server that is communicatively connected to the air conditioner, and the embodiments of the present application do not limit this.

[0041] like Figure 1 As shown, the power management method of the embodiment of the present application includes:

[0042] Step 101: acquiring power metering data representing power consumption of an air conditioner and parameter information related to the operation of the air conditioner.

[0043] Exemplarily, taking the application of the power management method to a server as an example, the server may periodically obtain power metering data generated by a power metering device of the air conditioner, as well as parameter information related to the operation of the air conditioner.

[0044] It should be noted that the server can obtain the power measurement data and respective parameter information of multiple networked air conditioners, and perform power management based on the power measurement data and parameter information of each air conditioner.

[0045] Here, the parameter information related to the operation of the air conditioner may include at least one of the following: air conditioner operation data, weather data of the area where the air conditioner is located, and indoor and outdoor environmental data. The air conditioner operation data may include at least one of the following: switch state, working mode, compressor operation frequency, electric auxiliary heating power, total operation power of the outdoor unit, total operation power of the indoor unit, outdoor unit fan speed, and indoor unit fan speed; the weather data of the area where the air conditioner is located may be weather data monitored in real time by a meteorological station, for example, temperature data monitored by a meteorological station; the indoor and outdoor environmental data may include indoor temperature values ​​and outdoor temperature values ​​collected by a temperature sensor of the air conditioner.

[0046] In an application example, Figure 2 As shown in the figure, the data collection Kafka module can receive weather data obtained by the upper-layer application, and receive parameters such as the switch status, working mode, indoor fan speed (i.e. indoor motor speed), outdoor fan speed (i.e. outdoor motor speed), compressor power, electric auxiliary heating, fresh air and the area where the air conditioner is located sent by the air conditioner. Kafka is an open source stream processing platform developed by the Apache Software Foundation and is written in Scala and Java. Kafka is a high-throughput distributed publish-subscribe messaging system that can process high-throughput streaming data. In this way, it can realize the collection of air conditioner operation data, electricity metering data, weather data and indoor and outdoor environmental data at the minute level. The collected data can be stored in the data warehouse DB.

[0047] Step 102: determining the power consumption of the air conditioner per unit set time based on the power metering data.

[0048] For example, the server can obtain the power consumption of the air conditioner in the unit set time by summarizing and calculating based on the collected power metering data. For example, the power consumption data of hours, days, weeks, months, quarters, and years can be obtained by summarizing and calculating, that is, the unit set time can be a set time granularity, which is not limited in the embodiments of the present application.

[0049] Preferably, in order to give prompt information of excessive power consumption in time, the unit setting time length can be a time granularity of minutes, for example, the unit setting time length can be 5 minutes, and those skilled in the art can make a reasonable choice according to the control accuracy. It can be understood that the smaller the unit setting time length, the faster the response speed, and the corresponding consumption of computing resources will also increase; the larger the unit setting time length, the less computing resource consumption can be consumed, but the granularity of power consumption statistics becomes larger, and the response speed will become slower.

[0050] Step 103: If it is determined that the air conditioner is in a high power consumption state based on the power consumption, prompt information indicating the cause of the high power consumption state is generated based on the parameter information.

[0051] Exemplarily, the server determines that the air conditioner is in a high power consumption state based on the power consumption, and generates prompt information indicating the reason for the high power consumption state based on the parameter information of the unit setting time length.

[0052] It can be understood that the power management method of the embodiment of the present application can generate prompt information indicating the cause of the high power consumption state based on parameter information when it is determined that the air conditioner is in a high power consumption state during the operation of the air conditioner. Then, on the basis of the traditional power metering function, prompt information indicating the cause of the high power consumption state can be given in time, which can effectively improve the user experience, thereby reducing the frequency of complaints and saving the operation and maintenance workload of power metering.

[0053] Exemplarily, determining that the air conditioner is in a high power consumption state based on the power consumption includes:

[0054] Based on the comparison result of the power consumption and the product value of the rated power of the air conditioner and the unit set time length, if it is determined that the ratio of the power consumption to the product value is greater than or equal to the set ratio threshold, it is determined that the air conditioner is in a high power consumption state.

[0055] For example, assuming that the unit setting time is 5 minutes, multiply the rated power of the air conditioner by 5 minutes to get the rated power consumption corresponding to the unit setting time. Based on the ratio of the current actual power consumption of 5 minutes to the rated power consumption, it can be determined whether the air conditioner is in a high power consumption state. If the ratio is greater than or equal to the set ratio threshold (for example, 80%), it can be determined that the air conditioner has entered a high power consumption state.

[0056] Exemplarily, the parameter information includes at least one of the following: air conditioner operation data, weather data of the area where the air conditioner is located, and indoor and outdoor environment data, and the generating of the prompt information indicating the cause of the high power consumption state based on the parameter information includes:

[0057] The prompt information is generated based on correlation analysis of at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data.

[0058] Exemplarily, the server can determine that a certain air conditioner has entered a high power consumption state based on the power consumption of the air conditioner within a set unit time, and can then perform correlation analysis based on the air conditioner operation data of the air conditioner within the set unit time, the weather data, and at least one of the indoor and outdoor environment data, to generate the prompt information, and then promptly provide the user with an analysis of the reasons for the excessive power consumption of the air conditioner, so as to promptly dispel the user's doubts, thereby effectively reducing the frequency of complaints about power metering.

[0059] Exemplarily, the generating the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data includes:

[0060] Based on the air-conditioning operation data, it is determined whether the air conditioner has turned on the electric auxiliary heating, and if so, first prompt information indicating that the electric auxiliary heating has been turned on is generated.

[0061] Here, if it is determined that the air conditioner is in a high power consumption state, it can be judged whether the air conditioner has turned on the electric auxiliary heating based on the parameter information indicating whether the electric auxiliary heating is turned on in the air conditioner operation data. If so, it can be determined that the air conditioner has increased power consumption due to the increase in the electric auxiliary heating power, and a first prompt information indicating that the electric auxiliary heating is turned on is generated.

[0062] Exemplarily, the generating the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data further includes:

[0063] Based on the weather data, it is determined whether the area where the air conditioner is located is currently experiencing extreme weather. If so, a second prompt information indicating abnormal weather is generated.

[0064] Here, if it is determined that the air conditioner is in a high power consumption state, it can be determined whether the area where the air conditioner is located is extreme weather based on the temperature data in the weather data. It should be noted that temperature thresholds for determining extreme weather can be pre-stored, for example, a first temperature threshold used as a basis for determining extremely hot weather and a second temperature threshold used as a basis for determining extremely cold weather. If the current temperature data is greater than or equal to the first temperature threshold (for example, 35°C), it is determined to be extremely hot weather; if the current temperature data is less than or equal to the second temperature threshold (for example, 5°C), it is determined to be extremely cold weather.

[0065] It is understandable that if the area where the air conditioner is located is in extremely hot or cold weather, the compressor will be in full load operation and power consumption will increase. Therefore, it can be determined that the air conditioner is affected by extreme weather, resulting in increased power consumption, and a second prompt message indicating abnormal weather is generated.

[0066] Exemplarily, the generating the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data further includes:

[0067] If it is determined based on the indoor and outdoor environmental data that the capacity of the air conditioner does not match the current environmental area, a third prompt message is generated to instruct the inspection of doors and windows or to replace the air conditioner with a suitable capacity.

[0068] Here, if it is determined that the air conditioner is in a high power consumption state, it can be determined whether the air conditioner is in a non-temperature state based on the indoor temperature value in the indoor and outdoor environment data. The non-temperature state means that after the air conditioner has run for a set time, the absolute value of the difference between its indoor temperature value and the set temperature value is greater than the set value. For example, the indoor temperature is 30°C, the cooling is set to 22°C, and after running for 2 hours, the indoor temperature can only reach 28°C, which indicates that the air conditioner is in a non-temperature state. The non-temperature state can indicate that the air conditioner's matching number does not match the current environmental area.

[0069] It is understandable that if the user's room is large and the air conditioner has a small rating, the air conditioner will run at full load, resulting in increased power consumption. A third prompt message may be generated to instruct the user to check doors and windows or replace the air conditioner with an appropriate rating.

[0070] Exemplarily, the power management method may further include:

[0071] The power consumption of each of the set time units when the air conditioner is in a high power consumption state is identified, and the corresponding parameter information is stored.

[0072] It is understandable that the server can identify the power consumption per set time in a high power consumption state and store the corresponding parameter information. In this way, a database of excessive power consumption can be established, which is convenient for establishing a data model for air conditioner energy consumption analysis based on big data. For example, a regional data model divided by regions can be established, and then the energy consumption baseline of the regional data model can be statistically obtained. The power consumption of a single air conditioner is then compared with the energy consumption baseline to determine whether the reason for the excessive energy consumption of the air conditioner is a reasonable reason (for example, caused by at least one of the reasons corresponding to the first prompt information, the second prompt information and the third prompt information mentioned above), or whether there is an abnormality in the operating performance of the air conditioner and / or an abnormality in the power metering. In this way, the fault can be locked more accurately, which facilitates improving the accuracy and efficiency of offline maintenance.

[0073] Exemplarily, the power management method may further include:

[0074] Display the prompt information and / or send the prompt information to a terminal device.

[0075] It can be understood that the server can display the aforementioned prompt information indicating the reason for the high power consumption state on the display interface and / or send the prompt information to the user's terminal device, so that the user can promptly know the reason for the high power consumption and then take corresponding adjustment measures. For example, in response to the aforementioned first prompt information, you can choose to turn off the electric auxiliary heating function, and in response to the aforementioned third prompt information, you can close the doors and windows, and can promptly dispel the user's doubts, thereby effectively reducing the frequency of complaints about electricity metering.

[0076] It should be noted that the aforementioned power management method can also be applied to air conditioners. Furthermore, in order to realize the aforementioned data model for energy consumption analysis of air conditioners based on big data, the air conditioner can send the data of each power consumption and the corresponding parameter information to the server after identifying the power consumption of each unit set time when the air conditioner is in a high power consumption state, so that the server can collect the corresponding parameter information of the marked power consumption data set of each air conditioner, and then establish a database of excessive power consumption, and establish a data model for energy consumption analysis of air conditioners based on the database.

[0077] The power management method for the air conditioner in the embodiment of the present application is illustrated below with reference to an application example.

[0078] like Figure 3 As shown, the air conditioner management method comprises the following steps:

[0079] Step 301, determine whether the power level is 0, if so, execute step 302, if not, execute step 303.

[0080] Here, after the air conditioner is powered on, it is determined whether the power consumption within the unit setting time is 0, if so, step 302 is executed, if not, step 303 is executed.

[0081] Step 302: No high power consumption factor.

[0082] It is understandable that since the power consumption counted within the unit set time period is 0, it can be determined that the air conditioner has no high power consumption factors.

[0083] Step 303, determine whether it is always on standby, if so, execute step 304, if not, execute step 305.

[0084] Step 304: only standby power consumption exists, and there is no high power consumption factor.

[0085] It is understandable that if the air conditioner is in standby mode, it can be determined that the air conditioner only has standby power consumption and no high power consumption factors.

[0086] Step 305 , determining whether the real-time power is less than the rated power*time, if so, executing step 306 , if not, executing step 307 .

[0087] Here, the power consumption of the current unit set time is obtained by statistics, and the current power consumption and the rated power consumption of the unit set time (rated power*unit set time) are determined. If the current power consumption is less than the rated power consumption, step 306 is executed, otherwise step 307 is executed.

[0088] Step 306: The power consumption is consistent with the product parameters and is within the normal power consumption range.

[0089] Here, if the current power consumption is less than the rated power consumption, it is determined that the air conditioner is in a normal power consumption range.

[0090] Step 307, obtaining the air conditioner start mode, special functions and operation time.

[0091] Here, if the current power consumption is greater than or equal to the rated power consumption, the air conditioner is determined to be in a high power consumption state, the power consumption data of the unit set time period is marked, and the air conditioner start mode, special functions (for example, parameter information indicating whether the electric auxiliary heating is turned on) and operating time are obtained.

[0092] Step 308 , determining whether the electric auxiliary heating is turned on, if so, executing step 309 , if not, executing step 310 .

[0093] Step 309, high power consumption parameter: electric auxiliary heating power consumption = electric auxiliary heating power * opening time.

[0094] Here, the marked power consumption data may be supplemented with high power consumption parameters: electric auxiliary heating power consumption = electric auxiliary heating power * turn-on time, where the turn-on time may be a unit set time, and the aforementioned first prompt information is generated.

[0095] Step 310, determine whether the local weather is extreme, if so, execute step 311, if not, execute step 312.

[0096] Here, it can be determined based on the temperature data in the weather data whether the area where the air conditioner is located is extreme weather. If so, step 311 is executed, and if not, step 312 is executed.

[0097] Step 311, high power consumption parameters: power consumption in power-on mode = actual power * power-on time, kindly remind you to pay attention to the weather.

[0098] Here, the high power consumption parameters can be added to the marked power consumption data: power consumption in power-on mode = actual power * on time, where the on time can be a unit setting time, and the aforementioned second prompt information is generated.

[0099] Step 312, determine whether the number of matches and the room area are appropriate, if so, end, if not, execute step 313.

[0100] Here, it is possible to determine whether the air conditioner is in a non-temperature state based on the indoor temperature value in the indoor and outdoor environmental data. The non-temperature state means that after the air conditioner has been running for a set time, the absolute value of the difference between its indoor temperature value and the set temperature value is greater than the set value. For example, the indoor temperature is 30°C, the cooling is set to 22°C, and after running for 2 hours, the indoor temperature can only reach 28°C, which indicates that the air conditioner is in a non-temperature state. The non-temperature state can indicate that the air conditioner's matching number does not match the current environmental area.

[0101] Step 313, high power consumption parameters: corresponding mode power consumption = actual power * opening time, prompting the user to check whether the doors and windows are open, replace the air conditioner with a suitable matching number, etc.

[0102] Here, the high power consumption parameters can be added to the marked power consumption data: power consumption in power-on mode = actual power * on time, where the on time can be a unit setting time, and the aforementioned third prompt information is generated.

[0103] It can be understood that the power management method based on this application example can, while statistically generating power consumption data for a set period of time per unit, mark the power consumption data in high power consumption states, and generate prompt information indicating the cause of the high power consumption state based on parameter information related to the operation of the air conditioner, which can effectively improve the user experience, thereby reducing the frequency of complaints and saving the operation and maintenance workload of power metering.

[0104] In order to implement the power management method of the embodiment of the present application, the embodiment of the present application also provides a power management device for an air conditioner, which corresponds to the power management method of the air conditioner mentioned above, and each step in the embodiment of the power management method of the air conditioner mentioned above is also fully applicable to the embodiment of the power management device of the air conditioner.

[0105] like Figure 4 As shown, the power management device of the air conditioner includes: an acquisition module 401, a power metering module 402 and a prompt module 403. The acquisition module 401 is used to acquire power metering data representing the power consumption of the air conditioner and parameter information related to the operation of the air conditioner; the power metering module 402 is used to determine the power consumption of the air conditioner in a unit set time based on the power metering data; the prompt module 403 is used to determine that the air conditioner is in a high power consumption state based on the power consumption, and generate prompt information indicating the reason for the high power consumption state based on the parameter information.

[0106] In some embodiments, determining that the air conditioner is in a high power consumption state based on the power consumption includes:

[0107] Based on the comparison result of the power consumption and the product value of the rated power of the air conditioner and the unit set time length, if it is determined that the ratio of the power consumption to the product value is greater than or equal to the set ratio threshold, it is determined that the air conditioner is in a high power consumption state.

[0108] In some embodiments, the parameter information includes at least one of the following: air conditioner operation data, weather data of the area where the air conditioner is located, and indoor and outdoor environment data. The prompt module 403 generates prompt information indicating the cause of the high power consumption state based on the parameter information, including:

[0109] The prompt information is generated based on correlation analysis of at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data.

[0110] In some embodiments, the prompt module 403 generates the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data, and the indoor and outdoor environment data, including:

[0111] Based on the air-conditioning operation data, it is determined whether the air conditioner has turned on the electric auxiliary heating, and if so, first prompt information indicating that the electric auxiliary heating has been turned on is generated.

[0112] In some embodiments, the prompt module 403 generates the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data, and the indoor and outdoor environment data, and further includes:

[0113] Based on the weather data, it is determined whether the area where the air conditioner is located is currently experiencing extreme weather. If so, a second prompt information indicating abnormal weather is generated.

[0114] In some embodiments, the prompt module 403 generates the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data, and the indoor and outdoor environment data, and further includes:

[0115] If it is determined based on the indoor and outdoor environmental data that the capacity of the air conditioner does not match the current environmental area, a third prompt message is generated to instruct the inspection of doors and windows or to replace the air conditioner with a suitable capacity.

[0116] In some embodiments, the power management device of the air conditioner further includes: a data processing module 404, which is used to identify the power consumption of each unit set time when the air conditioner is in a high power consumption state, and store the corresponding parameter information.

[0117] In some embodiments, the data processing module 404 is further configured to:

[0118] Display the prompt information and / or send the prompt information to a terminal device.

[0119] In actual application, the acquisition module 401, the power metering module 402, the prompting module 403 and the data processing module 404 can be implemented by a processor of the air conditioner or the server. Of course, the processor needs to run the computer program in the memory to realize its function.

[0120] It should be noted that: the power management device for the air conditioner provided in the above embodiment only uses the division of the above program modules as an example when controlling the air conditioner. In actual applications, the above processing can be assigned to different program modules as needed, that is, the internal structure of the device can be divided into different program modules to complete all or part of the processing described above. In addition, the power management device for the air conditioner provided in the above embodiment and the power management method embodiment of the air conditioner belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0121] Based on the hardware implementation of the above program modules and in order to implement the method of the embodiment of the present application, the embodiment of the present application also provides an electronic device. Figure 5 Only an exemplary structure of the electronic device is shown, not all structures, and it can be implemented as needed. Figure 5 Partial or complete structure shown.

[0122] like Figure 5 As shown, the electronic device 500 provided in the embodiment of the present application includes: at least one processor 501, a memory 502 and a user interface 503. The various components in the electronic device 500 are coupled together through a bus system 504. It can be understood that the bus system 504 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 504 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, in Figure 5 Various buses are labeled as bus system 504 .

[0123] The user interface 503 may include a display, a keyboard, a mouse, a trackball, a click wheel, keys, buttons, a touch pad or a touch screen.

[0124] The memory 502 in the embodiment of the present application is used to store various types of data to support the operation of the electronic device. Examples of such data include: any computer program used to operate on the electronic device.

[0125] The power management method of the electronic device disclosed in the embodiment of the present application can be applied to the processor 501, or implemented by the processor 501. The processor 501 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the power management method of the electronic device can be completed by the hardware integrated logic circuit or software instructions in the processor 501. The above-mentioned processor 501 can be a general-purpose processor, a digital signal processor (DSP, DigitalSignal Processor), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 501 can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiment of the present application. The general-purpose processor can be a microprocessor or any conventional processor, etc. In combination with the steps of the method disclosed in the embodiment of the present application, it can be directly embodied as a hardware decoding processor to execute, or it can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium, which is located in the memory 502, and the processor 501 reads the information in the memory 502, and completes the steps of the power management method of the electronic device provided in the embodiment of the present application in combination with its hardware.

[0126] In an exemplary embodiment, the electronic device may be implemented by one or more application specific integrated circuits (ASIC), DSP, programmable logic device (PLD), complex programmable logic device (CPLD), field programmable gate array (FPGA), general processor, controller, microcontroller (MCU), microprocessor, or other electronic components to execute the aforementioned method.

[0127] It can be understood that the memory 502 can be a volatile memory or a non-volatile memory, and can also include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disk, or a compact disc read-only memory (CD-ROM); the magnetic surface memory can be a disk memory or a tape memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), and direct RAM bus random access memory (DRRAM, Direct Rambus Random Access Memory).The memories described in the embodiments of the present application are intended to include, but are not limited to, these and any other suitable types of memories.

[0128] It is understandable that the electronic device 500 may be an air conditioner, or a server for centrally managing the power metering of the air conditioner.

[0129] In an exemplary embodiment, the present application also provides a storage medium, namely a computer storage medium, which may be a computer-readable storage medium, for example, a memory 502 storing a computer program, and the computer program may be executed by a processor 501 of an electronic device to complete the steps described in the method of the present application. The computer-readable storage medium may be a memory such as a ROM, a PROM, an EPROM, an EEPROM, a Flash Memory, a magnetic surface memory, an optical disk, or a CD-ROM.

[0130] It should be noted that: "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0131] In addition, the technical solutions described in the embodiments of the present application can be combined arbitrarily without conflict.

[0132] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A power management method for an air conditioner, characterized in that: include: Acquiring power metering data representing power consumption of the air conditioner and parameter information related to the operation of the air conditioner; Determining the power consumption of the air conditioner per unit set time based on the power metering data; If it is determined that the air conditioner is in a high power consumption state based on the power consumption, prompt information indicating a cause of the high power consumption state is generated based on the parameter information.

2. The method according to claim 1, characterized in that Determining that the air conditioner is in a high power consumption state based on the power consumption includes: Based on the comparison result of the power consumption and the product value of the rated power of the air conditioner and the unit set time, if it is determined that the ratio of the power consumption to the product value is greater than or equal to the set ratio threshold, it is determined that the air conditioner is in a high power consumption state.

3. The method according to claim 1, characterized in that The parameter information includes at least one of the following: air conditioner operation data, weather data of the area where the air conditioner is located, and indoor and outdoor environment data. The prompt information indicating the cause of the high power consumption state is generated based on the parameter information, including: The prompt information is generated based on correlation analysis of at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data.

4. The method according to claim 3, characterized in that The generating the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data includes: Based on the air-conditioning operation data, it is determined whether the air conditioner has turned on the electric auxiliary heating, and if so, first prompt information indicating that the electric auxiliary heating has been turned on is generated.

5. The method according to claim 4, characterized in that The generating the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data further includes: Based on the weather data, it is determined whether the area where the air conditioner is located is currently experiencing extreme weather. If so, a second prompt information indicating abnormal weather is generated.

6. The method according to claim 4, characterized in that The generating the prompt information by performing correlation analysis based on at least one of the air conditioner operation data, the weather data and the indoor and outdoor environment data further includes: If it is determined based on the indoor and outdoor environmental data that the capacity of the air conditioner does not match the current environmental area, a third prompt message is generated to instruct the inspection of doors and windows or to replace the air conditioner with a suitable capacity.

7. The method according to claim 1, characterized in that The method further comprises: The power consumption of each of the set time units when the air conditioner is in a high power consumption state is identified, and the corresponding parameter information is stored.

8. The method according to claim 1, characterized in that The method further comprises: Display the prompt information and / or send the prompt information to a terminal device.

9. An air conditioner power management device, characterized in that: include: An acquisition module, used to acquire power metering data representing power consumption of the air conditioner and parameter information related to the operation of the air conditioner; An electricity metering module, used for determining the electricity consumption of the air conditioner in a unit set time period based on the electricity metering data; A prompt module is used to determine that the air conditioner is in a high power consumption state based on the power consumption, and generate prompt information indicating the reason for the high power consumption state based on the parameter information.

10. An electronic device, characterized in that: include: A processor and a memory for storing a computer program that can be executed on the processor, wherein: The processor is used to execute the steps of the method according to any one of claims 1 to 8 when running a computer program.

11. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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