Vacant house determination method and device, computer device and storage medium

Abstract

The application relates to the technical field of electric power information analysis, and provides a vacant house determination method and device, computer equipment and a storage medium. The application can accurately determine vacant houses. The method comprises the following steps: acquiring the profile information and the power consumption of each house in a house group, the profile information comprising a house type; taking the profile information and the power consumption of the house meeting a preset screening condition as vacant house influencing factor data; inputting the vacant house influencing factor data into a threshold analysis model constructed in advance to obtain the power consumption threshold corresponding to each house type; and determining the vacant houses in the house group according to the power consumption of each house in the house group and the power consumption threshold corresponding to each house type.

Description

Technical Field

[0001] This application relates to the field of power information analysis technology, and in particular to a method, apparatus, computer equipment, and storage medium for determining vacant houses. Background Technology

[0002] With the development of electrical technology, electricity plays a vital role in supporting people's daily lives. Accurately identifying vacant properties can provide important guidance for adjusting power distribution network construction and power supply service strategies.

[0003] Current technology identifies vacant properties by using electricity consumption and resident population data from established residential communities as a statistical basis, but this technology has low accuracy in identifying vacant properties. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, and storage medium for determining vacant houses in response to the above-mentioned technical problems.

[0005] A method for determining vacant properties, the method comprising:

[0006] Obtain the file information and electricity consumption of each house in the housing group; the file information includes the house type;

[0007] The archive information and electricity consumption of each house that meet the preset screening criteria are used as data on factors affecting vacancy.

[0008] By inputting data on factors affecting vacant houses into a pre-built threshold analysis model, the electricity consumption thresholds corresponding to each house type are obtained.

[0009] Based on the electricity consumption of each house in the housing complex and the electricity consumption threshold corresponding to each house type, the vacant houses in the housing complex are determined.

[0010] In one embodiment, the preset screening criteria include a filing time screening threshold and an electricity consumption screening threshold; the filing information includes the filing time; the filing information and electricity consumption of each house that meet the preset screening criteria are used as data on influencing factors of vacant houses, including:

[0011] The data on the filing time and electricity consumption of each house that meet the filing time screening threshold and the electricity consumption screening threshold are used as data on the influencing factors of vacant houses.

[0012] The electricity consumption screening threshold conditions include being within a first electricity consumption threshold range; the electricity consumption threshold range includes a first electricity consumption threshold range and a second electricity consumption threshold range; the first electricity consumption threshold range includes an electricity consumption range that is greater than the first electricity consumption threshold and less than or equal to the second electricity consumption threshold; the second electricity consumption threshold range includes an electricity consumption range that is greater than the second electricity consumption threshold.

[0013] In one embodiment, the housing type includes housing urban / rural attribute type and housing meter reading cycle type; data on influencing factors of vacant housing are input into a pre-built threshold analysis model to obtain the electricity consumption threshold corresponding to each housing type, including:

[0014] The data on factors affecting vacant houses are input into a pre-built threshold analysis model to obtain the electricity consumption thresholds corresponding to the urban / rural attribute type and the meter reading cycle type of each house type.

[0015] In one embodiment, the urban / rural attribute type of the houses includes urban houses and rural houses; the meter reading cycle type of the houses includes odd-numbered monthly meter reading, even-numbered monthly meter reading, and monthly meter reading; the pre-built threshold analysis model is constructed based on the K-means clustering algorithm.

[0016] In one embodiment, the vacant houses in the housing complex are determined based on the electricity consumption of each house in the complex and the electricity consumption threshold corresponding to each house type, including:

[0017] Houses in a housing complex whose electricity consumption is below the electricity consumption threshold are identified as vacant houses.

[0018] In one embodiment, after determining the vacant houses in the housing complex based on the electricity consumption of each house and the electricity consumption threshold corresponding to each house type, the method further includes:

[0019] For each vacant house, obtain its historical electricity consumption.

[0020] The vacancy period of vacant houses is determined based on historical electricity consumption and the electricity consumption threshold corresponding to the type of vacant house.

[0021] In one embodiment, after determining the vacant houses in the housing complex based on the electricity consumption of each house and the electricity consumption threshold corresponding to each house type, the method further includes:

[0022] The vacancy rate of a housing complex is obtained by considering the number of vacant houses and the total number of houses in the complex.

[0023] A device for identifying vacant houses, the device comprising:

[0024] The housing acquisition module is used to acquire the file information and electricity consumption of each house in the housing group; the file information includes the house type;

[0025] The data determination module is used to use the archive information and electricity consumption of each house that meet the preset screening conditions as data on influencing factors of vacant houses.

[0026] The threshold acquisition module is used to input the data on the influencing factors of the vacant houses into a pre-built threshold analysis model to obtain the electricity consumption threshold corresponding to each house type;

[0027] The housing determination module is used to determine the vacant houses in the housing group based on the electricity consumption of each house in the housing group and the electricity consumption threshold corresponding to each house type.

[0028] A computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps: acquiring the file information and electricity consumption of each house in a housing complex; the file information includes the house type; using the file information and electricity consumption of houses that meet preset screening conditions as data on influencing factors of vacant houses; inputting the data on influencing factors of vacant houses into a pre-constructed threshold analysis model to obtain the electricity consumption threshold corresponding to each house type; and determining the vacant houses in the housing complex based on the electricity consumption of each house in the housing complex and the electricity consumption threshold corresponding to each house type.

[0029] A computer-readable storage medium storing a computer program, which, when executed by a processor, performs the following steps: acquiring the file information and electricity consumption of each house in a housing complex; the file information includes the house type; using the file information and electricity consumption of houses that meet preset screening conditions as data on influencing factors of vacant houses; inputting the data on influencing factors of vacant houses into a pre-constructed threshold analysis model to obtain the electricity consumption threshold corresponding to each house type; and determining the vacant houses in the housing complex based on the electricity consumption of each house in the housing complex and the electricity consumption threshold corresponding to each house type.

[0030] The aforementioned method, apparatus, computer equipment, and storage medium for determining vacant houses acquire file information and electricity consumption data for each house in a housing group. The file information includes house type. The file information and electricity consumption data of houses meeting preset screening conditions are used as vacant house influencing factor data. This vacant house influencing factor data is input into a pre-constructed threshold analysis model to obtain the electricity consumption threshold corresponding to each house type. Based on the electricity consumption of each house in the housing group and the corresponding electricity consumption threshold for each house type, vacant houses in the housing group are determined. This scheme acquires file information and electricity consumption data for each house in a housing group, including house type. The file information and electricity consumption data of houses meeting preset screening conditions are used as vacant house influencing factor data. This vacant house influencing factor data is input into a pre-constructed threshold analysis model to obtain the electricity consumption threshold corresponding to each house type as output data. Based on the electricity consumption of each house in the housing group and the corresponding electricity consumption threshold for each house type, houses meeting the corresponding electricity consumption threshold conditions are determined as vacant houses in the housing group, thereby accurately determining the vacant houses in the housing group. Attached Figure Description

[0031] Figure 1 This is an application environment diagram of the vacant house determination method in one embodiment;

[0032] Figure 2 This is a flowchart illustrating a method for determining vacant houses in one embodiment;

[0033] Figure 3 This is a flowchart illustrating the method for determining vacant houses in another embodiment;

[0034] Figure 4 This is a structural block diagram of a device for determining vacant houses in one embodiment;

[0035] Figure 5 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0037] It should be noted that the user-related information (including but not limited to user device information, user personal information, etc.) and data and their processing (including but not limited to data used for display, data used for analysis, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties; correspondingly, this application also provides a corresponding user authorization entry point for users to choose to authorize or refuse.

[0038] The method for determining vacant properties provided in this application can be applied to, for example... Figure 1 The application environment shown is as follows. This application scenario may include: Terminal 100. Specifically, Terminal 100 acquires the file information and electricity consumption of each house in the housing complex. The file information includes the house type. The file information and electricity consumption of houses that meet preset screening criteria are used as data on influencing vacancy factors. This data is input into a pre-built threshold analysis model to obtain the electricity consumption threshold corresponding to each house type. Based on the electricity consumption of each house in the housing complex and the corresponding electricity consumption threshold for each house type, the vacancy rate of houses in the housing complex is determined. Terminal 100 may be, but is not limited to, various personal computers, laptops, smartphones, and tablets.

[0039] In one embodiment, such as Figure 2 As shown, a method for determining vacant houses is provided, which can be applied to... Figure 1 Taking terminal 100 as an example, the explanation includes the following steps:

[0040] Step S201: Obtain the file information and electricity consumption of each house in the housing group.

[0041] In this step, refer to Figure 3The archive information includes housing type, which can include the filing time and housing type. The filing time can specifically include filing times greater than one year and filing times less than or equal to one year. The housing type can be a type corresponding to an electricity consumption threshold, such as a housing type for cities with odd-numbered meter readings. The electricity consumption threshold refers to the electricity consumption threshold corresponding to each housing type output by a pre-built threshold analysis model. For example, if the housing type is a housing type for cities with odd-numbered meter readings, then the corresponding electricity consumption threshold for that housing type is A degrees. The threshold analysis model can be a pre-built model used for air... The model obtains the electricity consumption threshold corresponding to each housing type after processing the housing influencing factor data, such as a model pre-built based on the K-means clustering algorithm; the vacant housing influencing factor data refers to the housing file information and electricity consumption of each housing that meet the preset screening conditions; the electricity consumption can be the sample electricity consumption used for screening after the preset screening conditions, for example, the electricity consumption is B degrees, where the preset screening conditions can be the conditions set in advance for screening the housing file information and electricity consumption of each housing group, such as the conditions that the filing time is greater than 1 year and the electricity consumption is greater than 0 degrees and less than or equal to 100 degrees.

[0042] Specifically, terminal 100 obtains the file information and electricity consumption of each house in the housing group for subsequent filtering based on preset criteria.

[0043] Step S202: The file information and electricity consumption of each house that meet the preset screening conditions are used as data on the influencing factors of vacant houses.

[0044] Specifically, the terminal 100 uses the archive information and electricity consumption of each house that meet the preset screening conditions as data on the influencing factors of vacant houses, so that the data on the influencing factors of vacant houses can be input into the pre-built threshold analysis model.

[0045] Step S203: Input the data on factors affecting vacant houses into the pre-built threshold analysis model to obtain the electricity consumption threshold corresponding to each house type.

[0046] Specifically, the terminal 100 inputs the data on the influencing factors of vacant houses into a pre-built threshold analysis model as input data, and obtains the electricity consumption threshold corresponding to each house type as output data.

[0047] Step S204: Based on the electricity consumption of each house in the housing group and the electricity consumption threshold corresponding to each house type, determine the vacant houses in the housing group.

[0048] Specifically, the terminal 100 determines the houses that meet the corresponding electricity consumption threshold conditions as vacant houses in the housing group based on the electricity consumption of each house in the housing group and the electricity consumption threshold corresponding to each house type.

[0049] In the aforementioned method for determining vacant properties, the file information and electricity consumption of each property in a housing group are obtained. The file information includes the property type. The file information and electricity consumption of properties that meet preset screening conditions are used as vacant property influencing factor data. This vacant property influencing factor data is input into a pre-constructed threshold analysis model to obtain the electricity consumption threshold corresponding to each property type. Based on the electricity consumption of each property in the housing group and the corresponding electricity consumption threshold for each property type, the vacant properties in the housing group are determined. This scheme obtains the file information and electricity consumption of each property in the housing group, including the property type. The file information and electricity consumption of properties that meet preset screening conditions are used as vacant property influencing factor data. This vacant property influencing factor data is input into a pre-constructed threshold analysis model to obtain the electricity consumption threshold corresponding to each property type as output data. Based on the electricity consumption of each property in the housing group and the corresponding electricity consumption threshold for each property type, properties that meet the corresponding electricity consumption threshold conditions are determined as vacant properties in the housing group, thus accurately determining the vacant properties in the housing group.

[0050] In one embodiment, step S202, which involves using the file information and electricity consumption of each house that meet the preset screening criteria as data on factors affecting vacancy, specifically includes:

[0051] The data on the filing time and electricity consumption of each house, which meet both the filing time and electricity consumption thresholds, are used as data on factors affecting vacancy.

[0052] In this embodiment, reference Figure 3 The archive information includes the filing time; the preset filtering conditions include the filing time filtering threshold and the electricity consumption filtering threshold; the filing time filtering threshold can be a condition that the filing time is greater than 1 year; the electricity consumption filtering threshold includes being within a first electricity consumption threshold range, for example, the first electricity consumption threshold range is greater than 0 kWh and less than or equal to 100 kWh; the electricity consumption threshold range includes a first electricity consumption threshold range and a second electricity consumption threshold range, for example, the second electricity consumption threshold range is greater than 100 kWh; the first electricity consumption threshold range includes an electricity consumption range greater than the first electricity consumption threshold and less than or equal to the second electricity consumption threshold, for example, the first electricity consumption threshold is 0 kWh and the second electricity consumption threshold is 100 kWh; the second electricity consumption threshold range includes an electricity consumption range greater than the second electricity consumption threshold, for example, the second electricity consumption threshold is 100 kWh.

[0053] Specifically, the terminal 100 filters each house based on its corresponding file information and electricity consumption. The file information and electricity consumption of the corresponding houses that meet the file establishment time filtering threshold and the electricity consumption filtering threshold are used as data on the influencing factors of vacant houses.

[0054] The technical solution of this embodiment uses the file information and electricity consumption of the corresponding houses that meet the file time screening threshold condition and the electricity consumption screening threshold condition as the data of the influencing factors of the vacant houses, so as to accurately screen the file information and electricity consumption of each house, thereby facilitating the output of more accurate electricity consumption thresholds for each house type by the pre-built threshold analysis model.

[0055] In one embodiment, step S203 above, which involves inputting the data on influencing factors of vacant houses into a pre-built threshold analysis model to obtain the electricity consumption threshold corresponding to each house type, specifically includes: inputting the data on influencing factors of vacant houses into a pre-built threshold analysis model to obtain the electricity consumption threshold corresponding to both the urban / rural attribute type and the meter reading cycle type of each house type.

[0056] In this embodiment, reference Figure 3 The housing types include urban / rural attribute types and meter reading cycle types; the urban / rural attribute types include urban housing and rural housing, where urban housing can be housing in urban areas and rural housing can be housing in rural areas; the meter reading cycle types include odd-numbered monthly meter reading, even-numbered monthly meter reading, and monthly meter reading; the pre-built threshold analysis model is constructed based on the K-means clustering algorithm, for example, the vacancy rate calculation model for outlier determination is constructed based on the K-means clustering algorithm.

[0057] Specifically, the terminal 100 inputs the data on factors affecting vacant houses into a pre-built threshold analysis model to obtain the electricity consumption thresholds corresponding to the urban / rural attribute type and the meter reading cycle type of each house type.

[0058] The technical solution of this embodiment outputs electricity consumption thresholds corresponding to both the urban / rural attribute type and the meter reading cycle type of each housing type through a threshold analysis model, thereby obtaining electricity consumption thresholds corresponding to more housing types, which helps to more accurately identify vacant houses in a housing group.

[0059] In one embodiment, step S204 above, which determines vacant houses in the housing group based on the electricity consumption of each house in the housing group and the electricity consumption threshold corresponding to each house type, specifically includes: determining houses in the housing group whose electricity consumption is lower than the electricity consumption threshold as vacant houses.

[0060] Specifically, terminal 100 identifies vacant houses as those whose electricity consumption is lower than the electricity consumption threshold corresponding to the house type.

[0061] The technical solution of this embodiment accurately identifies vacant houses in a housing group by determining that houses in the housing group whose electricity consumption is lower than the electricity consumption threshold are vacant houses.

[0062] In one embodiment, the above method can also determine the vacancy duration of vacant houses through the following steps: for each vacant house, obtain the historical electricity consumption of the vacant house; determine the vacancy duration of the vacant house based on the historical electricity consumption and the electricity consumption threshold corresponding to the house type of the vacant house.

[0063] Historical electricity consumption can be the electricity consumption recorded for each meter reading of vacant houses.

[0064] For details, please refer to Figure 3 For each vacant house, the terminal 100 obtains the historical electricity consumption of the vacant house, and determines the vacancy period of the vacant house based on the historical electricity consumption and the electricity consumption threshold corresponding to the house type, such as H1, H2 and H3.

[0065] The technical solution of this embodiment can determine the vacancy period of a vacant house by using historical electricity consumption and the electricity consumption threshold corresponding to the house type of the vacant house.

[0066] In one embodiment, the above method can also obtain the vacancy rate of a housing complex through the following steps: obtaining the vacancy rate of the housing complex based on the number of vacant houses in the housing complex and the total number of houses in the housing complex.

[0067] Specifically, such as Figure 3 As shown, after the terminal 100 determines the vacant houses in the housing group based on the electricity consumption of each house in the housing group and the electricity consumption threshold corresponding to each house type, it adds the number of vacant houses and the number of houses with zero electricity to obtain the number of vacant houses in the housing group (which can be named HLthresh). The ratio of the number of vacant houses in the housing group to the total number of houses in the housing group is used as the vacancy rate of the housing group.

[0068] The technical solution of this embodiment can obtain the vacancy rate of a housing complex by considering the number of vacant houses in the complex and the total number of houses in the complex.

[0069] It should be understood that although the steps in the flowchart above are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowchart above may include multiple steps or stages, which are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps.

[0070] In one embodiment, such as Figure 4 As shown, a device for determining vacant houses is provided, the device 400 may include:

[0071] The housing acquisition module 401 is used to acquire the file information and electricity consumption of each house in the housing group; the file information includes the house type;

[0072] The data determination module 402 is used to use the archive information and electricity consumption of the houses that meet the preset screening conditions as data on the influencing factors of vacant houses.

[0073] The threshold acquisition module 403 is used to input the data on the influencing factors of vacant houses into a pre-built threshold analysis model to obtain the electricity consumption threshold corresponding to each house type.

[0074] The housing determination module 404 is used to determine the vacant houses in the housing group based on the electricity consumption of each house in the housing group and the electricity consumption threshold corresponding to each house type.

[0075] In one embodiment, the preset screening conditions include a filing time screening threshold condition and an electricity consumption screening threshold condition; the file information includes the filing time; the data determination module 402 is further configured to use the file information and electricity consumption of each house that meet the filing time screening threshold condition and the electricity consumption screening threshold condition as the data of influencing factors of vacant houses; wherein, the electricity consumption screening threshold condition includes being located in a first electricity consumption threshold range; the electricity consumption threshold range includes a first electricity consumption threshold range and a second electricity consumption threshold range; the first electricity consumption threshold range includes an electricity consumption range greater than the first electricity consumption threshold and less than or equal to the second electricity consumption threshold; the second electricity consumption threshold range includes an electricity consumption range greater than the second electricity consumption threshold.

[0076] In one embodiment, the housing type includes housing urban / rural attribute type and housing meter reading cycle type; the threshold obtaining module 403 is further used to input the data of the influencing factors of vacant houses into the pre-constructed threshold analysis model to obtain the electricity consumption threshold corresponding to both the housing urban / rural attribute type and the housing meter reading cycle type in each housing type.

[0077] In one embodiment, the urban / rural attribute type of the housing includes urban housing and rural housing; the housing meter reading cycle type includes odd-numbered monthly meter reading, even-numbered monthly meter reading, and monthly meter reading; the pre-built threshold analysis model is constructed based on the K-means clustering algorithm.

[0078] In one embodiment, the housing determination module 404 is further configured to determine the housing in the housing group that corresponds to a power consumption lower than the power consumption threshold as vacant housing.

[0079] In one embodiment, the device 400 further includes: a duration determination module, configured to acquire the historical electricity consumption of each vacant house; and determine the vacancy duration of the vacant house based on the historical electricity consumption and an electricity consumption threshold corresponding to the house type of the vacant house.

[0080] In one embodiment, the device 400 further includes a vacancy rate obtaining module, configured to obtain the vacancy rate of the housing complex based on the number of vacant houses in the housing complex and the total number of houses in the housing complex.

[0081] Specific limitations regarding the vacant property determination device can be found in the limitations of the vacant property determination method described above, and will not be repeated here. Each module in the aforementioned vacant property determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0082] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a method for determining vacant houses. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0083] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0084] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0085] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0086] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0087] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0088] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for determining vacant houses, characterized in that, The method includes: Obtain the file information and electricity consumption of each house in the housing group; the file information includes the filing time and house type; the house type includes the urban / rural attribute type and the meter reading cycle type; the urban / rural attribute type includes urban houses and rural houses; the meter reading cycle type includes odd-numbered monthly meter reading, even-numbered monthly meter reading, and monthly meter reading. The file information and electricity consumption of each house that meet the file establishment time screening threshold and the electricity consumption screening threshold are used as data on the influencing factors of vacant houses. The data on factors affecting vacant houses are input into a pre-constructed threshold analysis model based on the K-means clustering algorithm to obtain the electricity consumption thresholds corresponding to the urban and rural attribute type and the meter reading cycle type of each house type. Based on the electricity consumption of each house in the housing complex and the electricity consumption threshold corresponding to each house type, the vacant houses in the housing complex are determined.

2. The method according to claim 1, characterized in that, The electricity consumption screening threshold conditions include those within a first electricity consumption threshold range; the electricity consumption threshold range includes the first electricity consumption threshold range and the second electricity consumption threshold range; the first electricity consumption threshold range includes electricity consumption ranges that are greater than the first electricity consumption threshold and less than or equal to the second electricity consumption threshold; the second electricity consumption threshold range includes electricity consumption ranges that are greater than the second electricity consumption threshold.

3. The method according to claim 2, characterized in that, The threshold condition for the filing time is that the filing time is greater than 1 year.

4. The method according to claim 2, characterized in that, The first power consumption threshold range is a power consumption range greater than 0 kWh and less than or equal to 100 kWh.

5. The method according to claim 1, characterized in that, The step of determining vacant houses in the housing complex based on the electricity consumption of each house in the housing complex and the electricity consumption threshold corresponding to each house type includes: Houses in the housing complex whose electricity consumption is lower than the electricity consumption threshold are identified as vacant houses.

6. The method according to claim 5, characterized in that, After determining the vacant houses in the housing complex based on the electricity consumption of each house and the electricity consumption threshold corresponding to each house type, the method further includes: For each vacant house, obtain the historical electricity consumption of that vacant house; The vacancy period of the vacant house is determined based on the historical electricity consumption and the electricity consumption threshold corresponding to the house type of the vacant house.

7. The method according to any one of claims 1 to 6, characterized in that, After determining the vacant houses in the housing complex based on the electricity consumption of each house and the electricity consumption threshold corresponding to each house type, the method further includes: The vacancy rate of the housing complex is obtained based on the number of vacant houses in the housing complex and the total number of houses in the housing complex.

8. A device for determining vacant houses, characterized in that, The device includes: The housing acquisition module is used to acquire the file information and electricity consumption of each house in the housing group; the file information includes the filing time and housing type; the housing type includes the urban / rural attribute type and the meter reading cycle type; the urban / rural attribute type includes urban houses and rural houses; the meter reading cycle type includes odd-numbered monthly meter reading, even-numbered monthly meter reading, and monthly meter reading. The data determination module is used to select the archive information and electricity consumption of each house that meet the archive time screening threshold and the electricity consumption screening threshold as data on the influencing factors of vacant houses. The threshold acquisition module is used to input the data on the influencing factors of the vacant houses into a pre-constructed threshold analysis model based on the K-means clustering algorithm to obtain the electricity consumption threshold corresponding to the urban and rural attribute type and the meter reading cycle type of each house type. The housing determination module is used to determine the vacant houses in the housing group based on the electricity consumption of each house in the housing group and the electricity consumption threshold corresponding to each house type.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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