CN116204555A - User home condition monitoring method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a user home condition monitoring method, a device, a computer device, a storage medium and a computer program product. The method comprises the following steps: acquiring electricity consumption data of different users; dividing different users into different user groups according to the electricity consumption data; according to the electricity consumption information data, performing K-means cluster analysis on all users in each user group respectively to obtain outlier users in each user group; acquiring electricity consumption data of the outlier users in each meter reading month, and obtaining the average value of the electricity consumption data of the outlier users in each meter reading month; and obtaining the user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month. By adopting the method, accurate monitoring results of the household condition of the user can be obtained.
Description
Technical Field
The present application relates to the field of electricity monitoring technology, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for monitoring a user home situation.
Background
Along with the development of scientific technology, a power supply is one of indispensable energy sources in the life of people, and has very important roles in the life of people, wherein a monitoring technology based on electric power data is rapidly advanced along with the continuous development of a power grid, analysis of the electric power data of a user is beneficial to monitoring the electricity consumption condition of the user, real-time monitoring can be rapidly and accurately carried out on the condition of the user when the emergency is faced, and the influence of matters on local residents is analyzed according to the household condition of the user and combined with special matters, so that research on a method for monitoring the household condition of the user is necessary.
In the prior art, the method is based on calculation and monitoring of residents by using an average value of electricity consumption of 3 persons per month, and the monitoring mode has the following problems: 3 persons of each user and calculating in month as a unit, the accurate user home state cannot be obtained, the combination of user file data is lacking, and the appointed user cannot be monitored; when a special event occurs, the user cannot be quickly positioned due to using month statistics, so that the user is monitored at home.
The above-mentioned prior art has the problem that monitoring accuracy is not enough.
Disclosure of Invention
Based on this, it is necessary to provide an accurate user home condition monitoring method, apparatus, computer device, computer readable storage medium and computer program product in view of the above technical problems.
In a first aspect, the present application provides a method for monitoring a user's home condition. The method comprises the following steps:
acquiring daily electricity consumption data of different users;
acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm;
comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data, and dividing the different users into different-place vacation users and local vacation users;
and acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judgment rules of the different-place vacation users and preset home condition judgment rules of the local vacation users according to daily average power consumption data of different users.
In one embodiment, the obtaining the user standard average daily electricity consumption data by using an extremely low electric quantity measuring and calculating method includes:
acquiring electricity consumption data of different users;
dividing different users into different user groups according to the electricity consumption data;
according to the electricity consumption information data, performing K-means cluster analysis on all users in each user group respectively to obtain outlier users in each user group;
acquiring electricity consumption data of the outlier users in each meter reading month, and obtaining the average value of the electricity consumption data of the outlier users in each meter reading month;
and obtaining the user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month.
In one embodiment, comparing the average daily electricity consumption data of different users with the standard average daily electricity consumption data of the users, and dividing the different users into different-place vacation users and local vacation users includes:
if the holiday average electricity consumption data is close to the standard day average electricity consumption data, dividing the users into different-place vacation users;
and if the power consumption data of the holiday day is close to the power consumption data of the standard day, dividing the users into local vacation users.
In one embodiment, according to daily electricity consumption data of different users, respectively adopting a preset home condition judgment rule of the different-place vacation users and a preset home condition judgment rule of the local vacation users, and obtaining home monitoring results of the different-place vacation users and home monitoring results of the local vacation users comprises:
Acquiring daily electricity utilization data of various local vacation users and local vacation users;
if the daily electricity consumption data is close to the holiday daily electricity consumption data, judging that the off-site vacation users are in an outgoing state and the local vacation users are in a home state;
and if the daily electricity consumption data is close to the pre-holiday daily electricity consumption data, judging that the off-site vacation users are in the home state and the local vacation users are in the out state.
In one embodiment, the method for monitoring the household condition of the user further comprises:
acquiring ammeter position information of different users;
according to the position information of the ammeter, combining the space-time map to obtain a user thermodynamic distribution diagram;
acquiring position information of a designated user according to a user thermodynamic distribution diagram;
and monitoring the action track of the appointed user in real time according to the position information of the appointed user.
In a second aspect, the present application further provides a device for determining a user home condition, where the device includes:
the data acquisition module is used for acquiring daily average electricity utilization data of different users; and acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm.
And the type dividing module is used for comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data and dividing the different users into different-place vacation users and local vacation users.
And the state monitoring module is used for acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judging rules of the different-place vacation users and preset home condition judging rules of the local vacation users according to daily average electricity data of different users.
In one embodiment, the data acquisition module is further configured to acquire power consumption data of different users; dividing different users into different user groups according to the electricity consumption data; according to the electricity consumption information data, performing K-means cluster analysis on all users in each user group respectively to obtain outlier users in each user group; acquiring electricity consumption data of the outlier users in each meter reading month, and obtaining the average value of the electricity consumption data of the outlier users in each meter reading month; and obtaining the user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring daily electricity consumption data of different users;
Acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm;
comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data, and dividing the different users into different-place vacation users and local vacation users;
and acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judgment rules of the different-place vacation users and preset home condition judgment rules of the local vacation users according to daily average power consumption data of different users.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring daily electricity consumption data of different users;
acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm;
comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data, and dividing the different users into different-place vacation users and local vacation users;
and acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judgment rules of the different-place vacation users and preset home condition judgment rules of the local vacation users according to daily average power consumption data of different users.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
acquiring daily electricity consumption data of different users;
acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm;
comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data, and dividing the different users into different-place vacation users and local vacation users;
and acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judgment rules of the different-place vacation users and preset home condition judgment rules of the local vacation users according to daily average power consumption data of different users.
According to the method, the device, the computer equipment, the storage medium and the computer program product for judging the household condition of the user based on the electric power data, the standard daily electricity consumption data of the user is obtained by adopting the extremely low electric quantity measuring and calculating method in the whole process, the daily electricity consumption data of different users is compared with the standard daily electricity consumption data, the change of the electricity consumption data of different users can be intuitively seen, the accurate household condition judgment result of the user can be obtained, meanwhile, different users are divided into different-place vacation users and local vacation users, the household condition judgment rule of the different-place vacation users and the household condition judgment rule of the local vacation users are respectively adopted, the household condition monitoring result of the user is obtained, the monitoring result can be changed along with the electricity consumption condition of each user, the household condition of each user is obtained in real time, and the accurate household condition monitoring result of the user can be obtained.
Drawings
FIG. 1 is an application environment diagram of a user home condition monitoring method in one embodiment;
FIG. 2 is a flow chart of a method for monitoring a user's home condition in one embodiment;
FIG. 3 is a flow chart illustrating the sub-step S200 in one embodiment;
FIG. 4 is a block diagram of a user home condition monitoring device in one embodiment;
FIG. 5 is an internal block diagram of a computer device in one embodiment;
fig. 6 is an internal structural view of a computer device in another embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The method for monitoring the household condition of the user, provided by the embodiment of the application, can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 acquires daily average electricity consumption data of different users, and acquires user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm; comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data, and dividing the different users into different-place vacation users and local vacation users; according to daily electricity consumption data of different users, a preset remote vacation user home condition judgment rule and a preset local vacation user home condition judgment rule are adopted respectively, a remote vacation user home monitoring result and a local vacation user home monitoring result are obtained, the obtained user monitoring result is transmitted to the terminal 102, and the terminal 102 displays the monitoring result of the user home condition. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a method for monitoring a home situation of a user is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:
s100, acquiring daily electricity consumption data of different users.
Specifically, electricity data of different users are obtained from the electric power data system, and analysis processing is carried out on the obtained electricity data to obtain daily average electricity data of different users.
S200, acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm.
Specifically, the electricity consumption data of the unoccupied house user with the unoccupied house but possibly small amount of electricity consumption in the user is obtained for analysis, the average electricity consumption data of the user is obtained, the average electricity consumption data of the user is used as the lowest average electricity consumption standard of the normal non-unoccupied user, and if the average electricity consumption data of the normal non-unoccupied user is smaller than the average electricity consumption data of the standard, the household state of the user is possibly changed.
S300, comparing daily average electricity consumption data of different users with user standard daily average electricity consumption data, and dividing the different users into different-place vacation users and local vacation users.
The daily average electricity data of different users is compared with the user standard electricity data, and the user standard electricity data represents the lowest electricity standard of the users, so that if the obtained daily average electricity data of the users is lower than the lowest electricity standard, the users are represented to belong to different-place vacation users, otherwise, the users are represented to local vacation users, and therefore the different users can be divided into two main categories of different-place vacation users and local vacation users.
S400, acquiring home monitoring results of different users and home monitoring results of local vacation users by respectively adopting preset home condition judgment rules of the different users and preset home condition judgment rules of the local vacation users according to daily average power consumption data of the different users.
Specifically, daily average electricity consumption data of different users are obtained, and home monitoring results of the different-place vacation users and home monitoring results of the local vacation users are obtained by adopting preset home condition judging rules of the different-place vacation users and preset home condition judging rules of the local vacation users according to the obtained daily average electricity consumption data.
In the method for monitoring the household condition of the user, the extremely low electric quantity measuring and calculating method is adopted to obtain the standard daily electricity consumption data of the user, the daily electricity consumption data of different users are compared with the standard daily electricity consumption data, the change of the electricity consumption data of different users can be intuitively seen, accurate household condition judgment results of the user can be obtained, meanwhile, different users are divided into different-place vacation users and local vacation users, and then the household condition judgment rules of the different-place vacation users and the local vacation users are respectively adopted to obtain household condition monitoring results of the user, so that the monitoring results can be changed along with the electricity consumption conditions of the users, the household condition of the users can be obtained in real time, and the accurate household condition monitoring results of the user can be obtained.
In one embodiment, as shown in fig. 3, S200 includes:
s220, acquiring power consumption information data of different users;
s240, dividing different users into different user groups according to the electricity consumption data;
s260, performing K-means cluster analysis on all users in each user group according to the electricity consumption data to obtain outlier users in each user group;
s280, acquiring electricity consumption data of the outlier users in each meter reading month, and obtaining the average value of the electricity consumption data of each meter reading month of the outlier users;
s300, obtaining user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month.
Specifically, electricity consumption information data of different users are obtained, wherein the electricity consumption information data comprises urban and rural information, meter reading period information data and the like besides the electricity consumption data of the users, and consideration is given to the influence of different meter reading periods and different urban and rural distribution on a month electricity consumption threshold value of an outlier user, so that the different users are firstly divided to obtain six types of different user groups, wherein the six types of different user groups are mainly divided as follows:
obtaining electricity consumption of each user group in the past year from electricity consumption information data of the users as parameters, respectively carrying out K-means cluster analysis on all users in each user group to obtain outlier users in each user group, marking the outlier users, obtaining electricity consumption data of all the outlier users in each meter reading month to obtain electricity consumption data average value of each meter reading month of all the outlier users, calculating the average value of the electricity consumption data average value of each meter reading month, taking the obtained average value as a natural month electricity consumption threshold value of an empty user in the outlier users, and obtaining average day electricity consumption data of the empty user as user standard electricity consumption data. For further explanation, an outlier user in the urban user population of the one-month meter reading is selected to exemplify:
| Year, month and year | Average electricity consumption for meter reading month of all outlier users |
| 201807 | 16 |
| 201809 | 12 |
| 201811 | 10 |
| 201901 | 10 |
| 201903 | 12 |
| 201905 | 14 |
| 201907 | 21 |
| Average value of | 16.6 |
As can be seen from the above table, the natural monthly electricity consumption threshold of the empty user is 16.6, and the daily electricity consumption of the empty user is 0.54, so that the standard electricity consumption of the user is also 0.54.
In the embodiment, the obtained user standard daily electricity consumption data can be used as an important index for dividing the follow-up local vacation users and the different-place vacation users, so that accurate user home condition monitoring results can be obtained finally.
In one embodiment, comparing the average daily electricity data of different users with the user standard average daily electricity data, dividing the different users into the off-site vacation users and the local vacation users comprises:
step 1, if holiday average electricity consumption data are close to standard day average electricity consumption data, dividing users into different-place vacation users;
and step 2, if the average electricity consumption data before the holidays is close to the standard average electricity consumption data, dividing the users into local vacation users.
Specifically, the average electricity data of seven days from the beginning of each resident user is obtained, the average electricity data in the seven days is calculated and obtained and is used as holiday day average electricity data H, the electricity data of seven days before each resident user is obtained, the average electricity data obtained by calculation is used as holiday average electricity data P, the value of H, P of each resident user is obtained, the value of H, P of each resident user is compared with the standard day average electricity data A obtained by an extremely low electric quantity measuring and calculating method, if H < A < < P (close to H and far smaller than P), the user is in an outgoing state, the user is judged to be a different-place vacation user, otherwise, if P < A < < H (close to P and far smaller than H), the user is judged to be an inflow state, and the user is judged to be a local vacation user.
In the embodiment, holiday average electricity data and holiday average electricity data in the daily average electricity data are respectively compared with user standard daily average electricity data, so that whether the user belongs to a different-place vacation user or a local vacation user is judged, and the different-place vacation user and the local vacation user are conveniently and respectively analyzed to obtain accurate monitoring results of the household condition of the user.
In one embodiment, according to daily electricity consumption data of different users, respectively adopting a preset home condition judgment rule of the different-place vacation users and a preset home condition judgment rule of the local vacation users, and obtaining home monitoring results of the different-place vacation users and home monitoring results of the local vacation users comprises:
step 1, acquiring daily electricity utilization data of various local vacation users and local vacation users;
step 2, if the daily electricity consumption data is close to the holiday average electricity consumption data, judging that the off-site vacation users are in an outgoing state and the local vacation users are in a home state;
and step 3, judging that the user on the different places is in a home state and the user on the local vacation is in an out state if the daily electricity consumption data is close to the daily electricity consumption data before the vacation.
Specifically, daily electricity data of each off-site vacation user and local vacation user are obtained, the obtained daily electricity data x is compared with daily average electricity data H, P, the daily electricity data x of each user are compared for the off-site vacation users, if H < x < < P (close to H and far smaller than P), the user is in an outgoing state, otherwise if H < < x < P (close to P and far larger than H), the user is in a home state. For a local vacation class user, if P < x < < H (close to and much smaller than P) then the user is in an out-going state, whereas if P < < x < H (close to and much larger than P) then the user is in a home state.
In this embodiment, since the home conditions of the local vacation users and the different-place vacation users are uncertain, the local vacation users may go out, and the different-place vacation users may return to the local, so that the local vacation users and the different-place vacation users are respectively analyzed, daily electricity consumption data of the local vacation users and the different-place vacation users are obtained, and compared with holiday average electricity consumption data and holiday average electricity consumption data of each user, the change of home conditions of the local vacation users and the different-place vacation users can be monitored in real time according to the change of the daily electricity consumption data, and more accurate monitoring results of the home conditions of the users are obtained.
In one embodiment, the method for monitoring the household condition of the user further comprises the following steps:
step 1, acquiring ammeter position information of different users;
step 2, according to the position information of the ammeter, combining the space-time map to obtain a user thermodynamic distribution diagram;
step 3, acquiring position information of a designated user according to a thermal distribution diagram of the user;
and 4, monitoring the action track of the appointed user in real time according to the position information of the appointed user.
Specifically, each user's ammeter has a label, and each label has corresponding position information, so that ammeter position information of each user can be obtained in the electric power data system, according to ammeter position information, a whole user thermodynamic distribution diagram can be obtained by combining a space-time map, and position information of a specified user can be obtained from the user thermodynamic distribution diagram, so that real-time detection of action tracks of the specified user is realized.
In this embodiment, according to the ammeter position information of the user and by combining with the space-time map, the user thermal distribution map is obtained, so that the position information of the appointed user can be obtained, the action track of the appointed user can be monitored in real time, and the accuracy of the household condition of the user is further ensured.
It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a user home condition monitoring device for realizing the above-mentioned user home condition monitoring method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the device for monitoring the user's home situation provided below may refer to the limitation of the method for monitoring the user's home situation hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 4, there is provided a user home condition monitoring apparatus, including: an acquisition data module 100, a type partitioning module 200, and a status monitoring module 300, wherein:
the data acquisition module 100 is used for acquiring daily electricity utilization data of different users; and acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm.
The type dividing module 200 is configured to compare daily average electricity consumption data of different users with user standard daily average electricity consumption data, and divide the different users into different-place vacation users and local vacation users.
The state monitoring module 300 is configured to obtain home monitoring results of different users and home monitoring results of local vacation users by respectively adopting preset home condition judgment rules of the different users and preset home condition judgment rules of the local vacation users according to daily average electricity data of the different users.
In one embodiment, the data acquisition module 100 is further configured to acquire power consumption data of different users; dividing different users into different user groups according to the electricity consumption data, and performing K-means cluster analysis on all users in each user group according to the electricity consumption data to obtain outlier users in each user group; acquiring electricity consumption data of the outlier users in each meter reading month, and obtaining the average value of the electricity consumption data of the outlier users in each meter reading month; and obtaining the user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month.
In one embodiment, the type dividing module 200 is further configured to divide the user into different-place vacation users if the holiday average power consumption data is close to the standard day average power consumption data; and if the power consumption data of the holiday day is close to the power consumption data of the standard day, dividing the users into local vacation users.
In one embodiment, the status monitoring module 300 is further configured to obtain daily electricity usage data of the vacation users in different places and the local vacation users; if the daily electricity consumption data is close to the holiday daily electricity consumption data, judging that the off-site vacation users are in an outgoing state and the local vacation users are in a home state; and if the daily electricity consumption data is close to the pre-holiday daily electricity consumption data, judging that the off-site vacation users are in the home state and the local vacation users are in the out state.
In one embodiment, the status monitoring module 300 is further configured to obtain ammeter location information of different users; and according to the position information of the ammeter, combining with the space-time map, obtaining a user thermal distribution map, obtaining the position information of the appointed user according to the user thermal distribution map, and monitoring the action track of the appointed user in real time according to the position information of the appointed user.
According to the user household condition monitoring device, the standard daily electricity consumption data of the users are obtained by adopting the extremely low-power measuring and calculating method, the daily electricity consumption data of different users are compared with the standard daily electricity consumption data, the change of the electricity consumption data of different users can be intuitively seen, accurate household condition judgment results of the users can be obtained, meanwhile, different users are divided into different-place vacation users and local vacation users, and then the household condition judgment rules of the different-place vacation users and the local vacation users are respectively adopted, so that household condition monitoring results of the users are obtained, the monitoring results can be changed along with the electricity consumption conditions of the users, the household conditions of the users are obtained in real time, and the accurate household condition monitoring results of the users can be obtained.
All or part of each module in the user household condition monitoring device and the user standard daily electricity consumption data computing device can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store user electricity data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for monitoring a user's home condition.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method for monitoring a user's home condition. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structures shown in fig. 5-6 are block diagrams of only some of the structures associated with the present application and are not intended to limit the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring daily electricity consumption data of different users; acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm; comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data, and dividing the different users into different-place vacation users and local vacation users; and acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judgment rules of the different-place vacation users and preset home condition judgment rules of the local vacation users according to daily average power consumption data of different users.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring electricity consumption data of different users; dividing different users into different user groups according to the electricity consumption data; according to the electricity consumption information data, performing K-means cluster analysis on all users in each user group respectively to obtain outlier users in each user group; acquiring electricity consumption data of the outlier users in each meter reading month, and obtaining the average value of the electricity consumption data of the outlier users in each meter reading month; and obtaining the user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month.
In one embodiment, the processor when executing the computer program further performs the steps of:
if the holiday average electricity consumption data is close to the standard day average electricity consumption data, dividing the users into different-place vacation users; and if the power consumption data of the holiday day is close to the power consumption data of the standard day, dividing the users into local vacation users.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring daily electricity utilization data of various local vacation users and local vacation users; if the daily electricity consumption data is close to the holiday daily electricity consumption data, judging that the off-site vacation users are in an outgoing state and the local vacation users are in a home state; and if the daily electricity consumption data is close to the pre-holiday daily electricity consumption data, judging that the off-site vacation users are in the home state and the local vacation users are in the out state.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring ammeter position information of different users; according to the position information of the ammeter, combining the space-time map to obtain a user thermodynamic distribution diagram; acquiring position information of a designated user according to a user thermodynamic distribution diagram; and monitoring the action track of the appointed user in real time according to the position information of the appointed user.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring daily electricity consumption data of different users; acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm; comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data, and dividing the different users into different-place vacation users and local vacation users; and acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judgment rules of the different-place vacation users and preset home condition judgment rules of the local vacation users according to daily average power consumption data of different users.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring electricity consumption data of different users; dividing different users into different user groups according to the electricity consumption data; according to the electricity consumption information data, performing K-means cluster analysis on all users in each user group respectively to obtain outlier users in each user group; acquiring electricity consumption data of the outlier users in each meter reading month, and obtaining the average value of the electricity consumption data of the outlier users in each meter reading month; and obtaining the user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the holiday average electricity consumption data is close to the standard day average electricity consumption data, dividing the users into different-place vacation users; and if the power consumption data of the holiday day is close to the power consumption data of the standard day, dividing the users into local vacation users.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring daily electricity utilization data of various local vacation users and local vacation users; if the daily electricity consumption data is close to the holiday daily electricity consumption data, judging that the off-site vacation users are in an outgoing state and the local vacation users are in a home state; and if the daily electricity consumption data is close to the pre-holiday daily electricity consumption data, judging that the off-site vacation users are in the home state and the local vacation users are in the out state.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring ammeter position information of different users; according to the position information of the ammeter, combining the space-time map to obtain a user thermodynamic distribution diagram; acquiring position information of a designated user according to a user thermodynamic distribution diagram; and monitoring the action track of the appointed user in real time according to the position information of the appointed user.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
acquiring daily electricity consumption data of different users; acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm; comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data, and dividing the different users into different-place vacation users and local vacation users; and acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judgment rules of the different-place vacation users and preset home condition judgment rules of the local vacation users according to daily average power consumption data of different users.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring electricity consumption data of different users; dividing different users into different user groups according to the electricity consumption data; according to the electricity consumption information data, performing K-means cluster analysis on all users in each user group respectively to obtain outlier users in each user group; acquiring electricity consumption data of the outlier users in each meter reading month, and obtaining the average value of the electricity consumption data of the outlier users in each meter reading month; and obtaining the user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the holiday average electricity consumption data is close to the standard day average electricity consumption data, dividing the users into different-place vacation users; and if the power consumption data of the holiday day is close to the power consumption data of the standard day, dividing the users into local vacation users.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring daily electricity utilization data of various local vacation users and local vacation users; if the daily electricity consumption data is close to the holiday daily electricity consumption data, judging that the off-site vacation users are in an outgoing state and the local vacation users are in a home state; and if the daily electricity consumption data is close to the pre-holiday daily electricity consumption data, judging that the off-site vacation users are in the home state and the local vacation users are in the out state.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring ammeter position information of different users; according to the position information of the ammeter, combining the space-time map to obtain a user thermodynamic distribution diagram; acquiring position information of a designated user according to a user thermodynamic distribution diagram; and monitoring the action track of the appointed user in real time according to the position information of the appointed user.
It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method for monitoring a user's home condition, the method comprising:
acquiring daily electricity consumption data of different users;
acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm;
comparing the average daily electricity consumption data of different users with the user standard average daily electricity consumption data, and dividing the different users into different-place vacation users and local vacation users;
And acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judgment rules of the different-place vacation users and preset home condition judgment rules of the local vacation users according to daily average electricity data of the different users.
2. The method of claim 1, wherein the obtaining the user standard average daily electricity data using the extremely low power measurement method comprises:
acquiring electricity consumption data of different users;
dividing the different users into different user groups according to the electricity consumption data;
according to the electricity consumption data, performing K-means cluster analysis on all users in each user group respectively to obtain outlier users in each user group;
acquiring electricity consumption data of the outlier users in each meter reading month, and acquiring the average value of the electricity consumption data of the outlier users in each meter reading month;
and obtaining the user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month.
3. The method of claim 1, wherein the average daily electricity usage data comprises: holiday day average electricity data and holiday prior average electricity data;
The step of comparing the average daily electricity consumption data of the different users with the user standard average daily electricity consumption data to divide the different users into different-place vacation users and local vacation users comprises the following steps:
if the holiday average electricity consumption data is close to the standard average electricity consumption data, dividing the users into different-place vacation users;
and if the power consumption data of the holiday is close to the power consumption data of the standard day, dividing the users into local vacation users.
4. The method of claim 1, wherein the average daily electricity usage data comprises: holiday day average electricity data and holiday prior average electricity data;
the acquiring the home monitoring result of the different-place vacation users and the home monitoring result of the local vacation users by respectively adopting a preset home condition judgment rule of the different-place vacation users and a preset home condition judgment rule of the local vacation users according to the daily average electricity data of the different users comprises the following steps:
acquiring daily electricity utilization data of each of the different-place vacation users and the local vacation users;
if the daily electricity consumption data is close to the holiday daily electricity consumption data, judging that the off-site vacation users are in an outgoing state and the local vacation users are in a home state;
And if the daily electricity consumption data is close to the pre-holiday daily electricity consumption data, judging that the off-site vacation users are in a home state and the local vacation users are in an out state.
5. The method according to claim 1, wherein the method further comprises:
acquiring ammeter position information of different users;
according to the ammeter position information, combining a space-time map to obtain a user thermodynamic distribution diagram;
acquiring position information of a designated user according to the user thermodynamic distribution diagram;
and monitoring the action track of the appointed user in real time according to the position information of the appointed user.
6. A user home condition judgment device, the device comprising:
the data acquisition module is used for acquiring daily average electricity utilization data of different users; acquiring user standard daily average electricity consumption data by adopting an extremely low electricity measurement algorithm;
the type dividing module is used for comparing the daily average electricity consumption data of different users with the user standard daily average electricity consumption data and dividing the different users into different-place vacation users and local vacation users;
and the state monitoring module is used for acquiring home monitoring results of the different-place vacation users and home monitoring results of the local vacation users by respectively adopting preset home condition judging rules of the different-place vacation users and preset home condition judging rules of the local vacation users according to daily average electricity data of different users.
7. The apparatus of claim 6, wherein the acquisition data module is further configured to acquire power usage data of the different users; dividing the different users into different user groups according to the electricity consumption data; according to the electricity consumption data, performing K-means cluster analysis on all users in each user group respectively to obtain outlier users in each user group; acquiring electricity consumption data of the outlier users in each meter reading month, and acquiring the average value of the electricity consumption data of the outlier users in each meter reading month; and obtaining the user standard daily average electricity consumption data according to the average value of the electricity consumption data of each meter reading month.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 5.
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| CN202111446353.0A CN116204555A (en) | 2021-11-30 | 2021-11-30 | User home condition monitoring method and device, computer equipment and storage medium |
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