CN116644920A - Intelligent power failure management method and system - Google Patents
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Abstract
The invention relates to the technical field of power management, in particular to an intelligent power failure management method and system, wherein the method comprises the steps of setting a time window and acquiring historical data of a time window before the current time; deleting abnormal values of the historical data, filling the missing data in the historical data, and constructing a model historical electricity utilization data set; performing cluster division on all users according to the model historical electricity consumption data set; manually marking each cluster, namely giving electricity utilization priority to each cluster; determining a user range needing to provide necessary continuous electricity consumption according to the electricity priority, and providing necessary continuous electricity consumption for users needing to provide necessary continuous electricity consumption according to the reported data; the invention can grade users according to historical electricity consumption information, scientifically cut power for users with different levels, and reduce great social loss caused by power cut.
Description
Technical Field
The invention relates to the technical field of power management, in particular to an intelligent power failure management method and system.
Background
With the rapid development of social economy, the requirements of enterprises and residents on power supply reliability are higher and higher at present, but the power failure event occurs, and the power grid enterprises bear the obligations of continuous and stable power utilization and power utilization safety management of users. Once power is cut, enterprises cannot operate, residents cannot normally live, social and economic losses can be caused when the residents seriously, so that it is very important to ensure operation of basic or important equipment when the power is cut, such as a computer server running important programs and a refrigerator for important storage of materials, and influence caused by power cut can be reduced to the greatest extent by ensuring that power supply of electric equipment is continuously needed when the power is cut.
Currently, the power loads are classified into a primary load, a secondary load, and a tertiary load according to the reliability of power supply and interruption of power supply. Because the primary load and the secondary load are not allowed to be powered off under the vast majority of conditions, when the power is tense or powered off, the power is generally cut off for the users of the tertiary load, and aiming at the condition, the users of the tertiary load can cause small economic loss. Under the condition of power failure or power utilization tension, the necessary continuous power utilization amount of the three-stage load users is accurately judged, a basis is provided for distributing proper power to the users by power grid enterprises, necessary continuous power utilization supply is ensured, important social and economic losses caused by power failure of important equipment are prevented, and the power utilization safety and experience of the users are improved.
Disclosure of Invention
In order to scientifically cut power for users of different levels and provide power consumption for guaranteeing operation of necessary continuous electric equipment for users within a power cut range according to power cut time, the invention provides an intelligent power cut management method, which specifically comprises the following steps:
101. setting a time window and acquiring historical data of a time window before the current time;
102. deleting abnormal values of historical data, filling the missing data in the historical data, wherein the historical data comprises the electricity consumption type, the electricity consumption time, the total electricity consumption power, the electricity consumption current, the electricity consumption voltage and the electricity consumption quantity of a user;
103. calculating average total power, average current, average voltage, average power consumption, median of power consumption and average power of the intelligent socket of each user in the processed historical power consumption data set at all times, and taking the average power as new characteristic data to obtain model historical power consumption data;
104. according to the historical electricity consumption data set of the model, carrying out cluster division on all users, and counting the total number of each cluster user, the electricity consumption median, the average electricity consumption of the cluster users and the user occupation ratio of the electricity consumption exceeding the average electricity consumption of the cluster users;
105. marking k clusters as A1, A2, … and Ak according to the statistical data, wherein A1 represents the highest electricity utilization priority, and Ak represents the lowest priority, namely giving electricity utilization priority to a user;
106. and determining a user range needing to provide the necessary continuous power consumption according to the cluster user grade, and providing the necessary continuous power consumption for the user needing to provide the necessary continuous power consumption.
Further, the process of filling the missing data in the historical data comprises the following steps: the method for filling up the missing value at the head and the tail of the data by the proximity method, namely if the missing value exists at the head, filling up the missing value at the head by using the data at the next time, if the missing value exists at the tail, filling up the missing value at the tail by using the data at the last time, filling up the missing value at the rest positions by using the linear interpolation, and the missing value filled up by using the linear interpolation is expressed as:
wherein y represents the missing feature value, x represents the current time, x1 represents the next time of the current time, x0 represents the last time of the current time, y1 represents the feature value of x1 time, and y0 represents the feature value of x0 time.
Further, the process of dividing all users into k clusters according to the historical electricity utilization data set of the users comprises the following steps: and randomly determining k cluster center points, calculating the distance between the user and the center points by adopting Euclidean distance, updating the user in the clusters, and updating the cluster center points by using the average value of the distances between the user and the center points in the clusters until the user in the k clusters is not changed, so as to obtain k clusters.
Further, for the user who needs to provide the necessary continuous power consumption, calculating the necessary continuous power consumption provided for the user specifically includes:
201. determining a power outage time T, and determining an initial necessary continuous power consumption of a user who needs to provide the necessary continuous power consumption, wherein the initial necessary continuous power consumption is expressed as:
initially necessary sustained power = sum of reported device powers with credentials x T;
202. judging whether the initial necessary continuous power consumption of the user is larger than (average power consumption-threshold A)/24 xT, if so, executing step 203, otherwise, executing step 204;
203. the necessary continuous power consumption= (average power consumption-threshold a)/24×t;
204. the necessary continuous power consumption=the initial necessary continuous power consumption.
Further, the smart socket is used for regulating and controlling the electricity consumption condition of the user who needs to provide necessary continuous electricity consumption, and whether the electricity consumption of the electric meter is too fast or the electricity consumption of the smart socket is too fast needs to be confirmed in the process, so that two judgments are needed to be performed, and the method specifically comprises the following steps:
301. determining necessary continuous electricity consumption of the intelligent socket in the power failure time T, wherein the necessary continuous electricity consumption is expressed as:
the amount of electricity that the smart jack must last = the sum of the device powers that use the smart jack x T;
302. acquiring the user electricity consumption after power failure from the electricity consumption management system, judging whether the user electricity consumption exceeds the necessary continuous electricity consumption, if so, executing step 303, otherwise, executing step 304;
303. if the electricity consumption of the user exceeds the necessary continuous electricity consumption, stopping supplying power;
304. acquiring the electricity consumption of the intelligent socket after power failure from a third-party intelligent socket management system;
305. judging whether the electricity consumption of the intelligent socket exceeds the necessary continuous electricity consumption of the intelligent socket, if so, executing a step 306, otherwise, executing a step 302;
306. and if the electricity consumption of the intelligent socket exceeds the necessary continuous electricity consumption of the intelligent socket, closing the intelligent socket.
Further, in the process of supplying power to the user who needs to provide the necessary continuous power consumption, verifying whether the power consumption exceeds the necessary continuous power consumption in the time period every t hours, and if so, reminding the user of cautiously using the power.
The invention also provides an intelligent power failure management system for realizing an intelligent power failure management method, which comprises a data collection and processing module, a user rating module, a necessary continuous power consumption determining module, a power consumption scheduling management module and a verification module, wherein:
the data collection and processing module is used for acquiring historical information of a user, preprocessing the acquired information and acquiring a data historical electricity utilization data set corresponding to the historical information of the user;
the user rating module is used for clustering all users based on the historical electricity utilization data set and dividing the electricity utilization priority, and dividing the users into A1, A2, … and Ak, wherein A1 represents the highest electricity utilization priority and Ak represents the lowest priority;
the necessary continuous power consumption determining module is used for determining necessary continuous power consumption for a user needing to provide the necessary continuous power consumption;
the power consumption scheduling management module is used for controlling the power consumption of a user who needs to provide necessary continuous power consumption during power failure;
and the verification module is used for verifying whether the actual power consumption of the user needing to provide the necessary continuous power consumption is consistent with the reported necessary continuous power consumption, and providing a control basis for the power consumption scheduling management module.
The invention has the following beneficial effects:
1. the invention can grade users according to historical electricity consumption information, scientifically cut power for users with different levels, and reduce great social loss caused by power cut.
2. The invention can determine the necessary continuous power consumption according to the user report data and the user historical power consumption data, and when power failure or power shortage occurs, the necessary continuous power consumption is distributed to users in the power failure range, thereby ensuring the operation of necessary electric equipment of the users, preventing economic loss and improving the power consumption experience of enterprises and residents.
3. The invention provides a checking function to prevent the necessary continuous power consumption from being used by other devices.
Drawings
FIG. 1 is a block diagram of an intelligent power outage system according to an embodiment of the present invention;
FIG. 2 is a flow chart of user ratings of an embodiment of the present invention;
FIG. 3 is a flow chart of determining the necessary continuous power consumption during a power outage according to an embodiment of the present invention;
FIG. 4 is a flow chart of regulating and controlling necessary continuous power consumption through an intelligent socket according to an embodiment of the invention;
fig. 5 is a flowchart of power-on verification of an intelligent socket according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides an intelligent power failure management method, which specifically comprises the following steps:
step 101, setting a time window and acquiring historical data of a time window before the current time;
102, deleting abnormal values of historical data, and supplementing the missing data in the historical data, wherein the historical data comprise electricity consumption types, electricity consumption time, total electricity consumption power, electricity consumption current, electricity consumption voltage and electricity consumption of users;
step 103, calculating average total power, average current, average voltage, average power consumption, median of power consumption and average power of the intelligent socket of each user in the processed historical power consumption data set at all times, and taking the average power as new characteristic data to obtain model historical power consumption data;
step 104, carrying out cluster division on all users according to the model historical electricity consumption data set, and counting the total number of each cluster user, the median of electricity consumption, the average electricity consumption of the cluster users and the user occupation ratio of the electricity consumption exceeding the average electricity consumption of the cluster users;
step 105, manually marking according to the statistical data, and marking k clusters as A1, A2, … and Ak, wherein A1 represents that the user power utilization priority is highest, and Ak represents that the priority is lowest, namely giving the user power utilization priority; in the embodiment, after the users are clustered, only each cluster is required to be manually classified, and when the clusters are manually classified, the total number of the clustered users, the median of the electricity consumption, the average electricity consumption of the clustered users and the user occupation ratio of the electricity consumption exceeding the average electricity consumption of the clustered users are compared to confirm the electricity consumption priority of the cluster, and the priority of each user is independently confirmed, so that a great amount of labor cost and calculation are saved.
And 106, determining a user range needing to provide necessary continuous power consumption according to the cluster power consumption priority, and providing the necessary continuous power consumption for users in the range.
Fig. 1 is a block diagram of an intelligent power outage system according to an embodiment of the present invention. As shown, the system includes a data collection and processing module 10, a user rating module 20, a necessary continuous power usage determination module 30, a power usage schedule management module 40, and a verification module 50.
The data collecting and processing module 10 obtains relevant electricity consumption information of the user from each system, and preprocesses the relevant electricity consumption information to obtain a model data set, and provides data support for the user rating module 20 and the necessary continuous electricity consumption determining module 30, and the data collecting and processing module comprises a historical electricity consumption data unit 101, a user reporting data unit 102, a data preprocessing unit 103 and a feature processing unit 104.
The historical electricity consumption data unit 101 obtains the user electricity consumption data of the electricity consumption management system and the electricity consumption data of the third-party intelligent socket management system as historical electricity consumption data sets according to the historical data time window and the data field, and provides data support for the user rating module 30.
Based on the historical electricity consumption data unit, the embodiment of the invention provides a method for acquiring historical electricity consumption data, which comprises the following steps:
step S101: determining a historical data time window, wherein the time window is set to be 30 days, namely historical electricity consumption data of the user for the past 30 days;
step S102: the raw data fields are determined, thereby determining a historical electricity usage dataset. The data fields of the third party intelligent socket management system comprise user ID, electricity type, time, total power, current, voltage, electricity consumption and the like.
By the method, historical electricity consumption data can be obtained.
The user reporting data unit 102 obtains necessary continuous power consumption data reported by the user through the power grid APP, determines a user reporting data set, and provides data support for the necessary continuous power consumption determining module 30. The user fills in the reporting data of the necessary continuous electric equipment, wherein the reporting data comprises a user ID, an equipment name, equipment power, a certificate, whether an intelligent socket is used or not, and the like.
The data preprocessing unit 103 processes the abnormal value and the missing value in the historical electricity consumption data set, regards the abnormal value as the missing value, fills the missing value, and integrates and determines new characteristics according to the filled data to obtain the processed historical electricity consumption data set.
Based on a data preprocessing unit, the embodiment of the invention provides a data preprocessing method, which comprises the following steps:
step S201: reading a data sequence to be filled in the historical electricity utilization data set;
step S202: marking the abnormal value as a missing value;
step S203: filling the missing value at the head and the tail of the data by adopting a proximity method, namely filling the missing value at the head by using the data of the next time if the missing value exists at the head, and filling the missing value at the tail by using the data of the last time if the missing value exists at the tail;
step S204: filling the missing values of the rest positions by using linear interpolation, wherein the linear interpolation formula is as follows:
where y represents the missing feature value, x represents the current time, x1 represents the next time, x0 represents the last time, y1 represents the feature value of x1 time, and y0 represents the feature value of x0 time.
Step S205: and restoring the filled data sequence to a data set to obtain the processed historical electricity utilization data.
By the method, the historical electricity utilization data set after abnormal values and missing values are processed can be obtained.
The feature processing unit 104 calculates the average total power, average current, average voltage, average power consumption, median of power consumption and average power of the intelligent socket of each user in the processed historical power consumption data set, and uses the average total power, average current, average voltage, median of power consumption and average power of the intelligent socket as new feature data to obtain model historical power consumption data.
The user rating module 20 uses a clustering method to gather users into k types according to the historical electricity consumption data of the model, gathers the statistical data of each type, and marks k types of users as A1, A2, … and Ak from high to low according to the statistical data by staff.
Based on the user rating module 20, as shown in fig. 2, an embodiment of the present invention provides a method for rating a user, including the following steps:
step S301: the cluster partition of the user is determined. Adopting a K-means clustering method to gather users into K clusters, namely randomly determining K cluster center points, adopting a Euclidean distance calculation method to calculate the distance between the users and the center points, updating the users in the clusters, and updating the cluster center points by using the distance average value of the users in the clusters and the center points until the users in the K clusters are not changed, so as to obtain K clusters;
specifically, in the clustering process, the sum of Euclidean distances of the features of the average total power, the average current, the average voltage, the average power consumption, the median of the power consumption and the average power of the intelligent socket among all users is calculated as the distance among the users, and the same is true when the distance between the central point and the users is calculated. Step S302: counting the total number of users of each cluster, the median of the electricity consumption, the average electricity consumption of the cluster users and the user proportion of the electricity consumption exceeding the average electricity consumption of the cluster users;
step S303: manually marking k clusters through statistical data, and marking the k clusters as A1, A2, … and Ak, wherein A1 represents the highest power utilization priority and Ak represents the lowest priority;
specifically, in the process of manually marking, the priority of each cluster is marked according to the total number of users of each cluster, the median of the electricity consumption, the average electricity consumption of the users of the cluster and the user occupation ratio of the electricity consumption exceeding the average electricity consumption of the users of the cluster; in the specific implementation process, in order to save labor cost, after historical data is labeled, a deep neural network is trained to label unlabeled data, when the deep neural network is trained, the total number of users, the median of electricity consumption, the average electricity consumption of cluster users and the user proportion of the electricity consumption exceeding the average electricity consumption of the cluster users of each cluster are taken as the characteristics of the cluster, the electricity consumption priority level is taken as the label of the cluster, and the trained neural network outputs the electricity consumption priority of the cluster according to the characteristics of the input cluster.
The necessary continuous power consumption determining module 30 obtains the necessary continuous power consumption of the initial user according to the power failure time and the data reported by the user, determines whether the continuous power consumption of the initial user meets the historical power consumption, and finally determines the necessary continuous power consumption of the user.
Based on the necessary continuous power consumption determining module, as shown in fig. 3, an embodiment of the present invention provides a method for determining a necessary continuous power consumption of a user, including the following steps:
step S401: determining a user range for providing necessary continuous electricity consumption, for example, adopting uninterrupted power supply for A1 grade users, and ensuring the supply of the necessary continuous electricity consumption by other grade users;
step S402: determining a power failure time T, wherein the unit is hour;
step S403: determining initial necessary continuous power consumption according to the device data of the uploaded certificates in the data reported by the user;
initially necessary continuous power = sum of reported device powers with credentials x T
Step S404: judging whether the initial necessary continuous power consumption of the user is larger than (average power consumption-threshold A)/24 xT, if so, jumping to S405, otherwise, jumping to S406;
step S405: the necessary continuous power consumption= (average power consumption-threshold a)/24×t;
step S406: the necessary continuous power consumption=the initial necessary continuous power consumption.
By the method, the necessary continuous power consumption required by the user in the power failure time can be obtained.
The electricity consumption scheduling management module 40 regulates and controls necessary continuous electricity consumption through the intelligent socket if the user uses the intelligent socket, and regulates and controls the user electricity consumption through the ammeter if the user does not have the intelligent socket, and comprises an intelligent socket electricity consumption management unit 401 and a user electricity consumption management unit 402.
The smart socket electricity management unit 401 regulates and controls necessary continuous electricity consumption through the smart socket if the user uses the smart socket.
Based on the intelligent socket electricity management unit, as shown in fig. 4, the embodiment of the invention provides a method for regulating and controlling electricity consumption through the intelligent socket, which comprises the following steps:
step S501: determining necessary continuous electricity consumption of the intelligent socket in the power failure time T according to the data reported by the user;
the amount of power that the smart jack must last = the sum of the device powers using the smart jack x T
Step S502: acquiring the user electricity consumption after power failure from an electricity management system;
step S503: judging whether the electricity consumption of the user exceeds the necessary continuous electricity consumption, if so, jumping to S504, and if not, jumping to S505;
step S504: if the electricity consumption of the user exceeds the necessary continuous electricity consumption, stopping supplying power;
step S505: acquiring the electricity consumption of the intelligent socket after power failure from a third-party intelligent socket management system;
step S506: judging whether the electricity consumption of the intelligent socket exceeds the necessary continuous electricity consumption of the intelligent socket, if so, jumping to S507, and if not, jumping to S502;
step S507: and if the electricity consumption of the intelligent socket exceeds the necessary continuous electricity consumption of the intelligent socket, closing the intelligent socket.
Through the method, necessary continuous power utilization can be regulated and controlled through the intelligent socket.
The user power consumption management unit 402, the user does not use the smart socket, allocates the necessary continuous power consumption for the user who needs to provide the necessary continuous power consumption, and regulates the necessary continuous power consumption through the electric meter.
Based on a user electricity management unit, the embodiment of the invention provides a method for regulating and controlling electricity consumption through an ammeter, which comprises the following steps:
step S601: acquiring the electricity consumption of a user after power failure from an electricity consumption management system;
step S602: judging whether the electricity consumption of the user exceeds the necessary continuous electricity consumption, if so, jumping to S603, and if not, jumping to S601;
step S603: and if the electricity consumption of the user exceeds the necessary continuous electricity consumption, stopping supplying power.
By the method, necessary continuous power utilization can be regulated and controlled through the ammeter.
The verification module 50 is configured to verify the power consumption of the smart socket or the user according to the power consumption of the smart socket and the power consumption of the user in real time, and prevent the power consumption from being used by the user, and includes a power consumption verification unit 501 of the smart socket and a power consumption verification unit 502 of the user.
The intelligent socket electricity utilization verification unit 501 judges whether the electricity utilization amount of the intelligent socket exceeds the electricity utilization amount of the intelligent socket in a time period at intervals, and verifies the electricity utilization amount of the intelligent socket.
Based on the electricity consumption verification unit of the intelligent socket, as shown in fig. 5, the embodiment of the invention provides a method for verifying electricity consumption of the intelligent socket and an ammeter, which comprises the following steps:
step S701: the power grid APP is used for reminding a user of 'predicting the power failure time to be T hours', allowing the power utilization (necessary continuous power utilization) degree, and preferentially ensuring the power utilization of necessary continuous equipment. "
Step S702: acquiring the electricity consumption of a user within a t time period of an electricity consumption management system, wherein the unit of t is hour;
step S703: judging whether the electricity consumption of the user exceeds the necessary continuous electricity consumption in the t time period, if so, jumping to S704, and if not, stopping the subsequent steps;
necessary continuous electricity consumption in T time period = necessary continuous electricity consumption/t×t
Step S704: acquiring the sum of electricity consumption of the intelligent sockets in the t time period of the third-party intelligent socket management system;
step S705: judging whether the electricity consumption of the intelligent socket in the t time period exceeds the necessary continuous electricity consumption of the intelligent socket in the t time period, if so, jumping to S706, and if not, jumping to S707;
the necessary continuous power consumption of the intelligent socket in the T time period=the necessary continuous power consumption of the intelligent socket/T×t
Step S706: if the electricity consumption of the intelligent socket in the t time period exceeds the necessary continuous electricity consumption of the intelligent socket in the t time period, prompting a user that the electricity consumption of the intelligent socket is too fast through the power grid APP;
step S707: if the electricity consumption of the intelligent socket does not exceed the necessary continuous electricity consumption of the intelligent socket in the t time period, the user is prompted to use electricity too quickly through the power grid APP.
By the method, the electricity consumption of the intelligent socket can be verified.
The user electricity consumption verification unit 501 verifies the user electricity consumption according to the user real-time electricity consumption. And acquiring the real-time electricity consumption of the electricity consumption management system in the t time period, and prompting the user to consume the electricity too quickly if the real-time electricity consumption exceeds the necessary continuous electricity consumption in the t time period.
In summary, each module unit works cooperatively, and the data collection and processing module is used for obtaining the electricity consumption management system, the third-party intelligent socket management system and the electricity consumption data reported by the power grid APP, establishing a user historical electricity consumption data set, and cleaning the user historical electricity consumption data; the user rating module performs cluster analysis on the electricity consumption data and performs manual rating on the users; the necessary continuous electricity consumption determining module determines necessary continuous electricity consumption in the power failure time according to the reported electricity consumption data and the clustering statistical data; the user management module is used for regulating and controlling necessary continuous power utilization through the intelligent socket or the ammeter; the verification module is used for verifying the power consumption of the intelligent socket or the user. The users are classified by the clustering method, scientific power failure is carried out according to the class under the condition of power shortage or power failure, no complete power failure measures are taken for all users, appropriate and enough power consumption is distributed to the users in the power failure range according to the reported data of the users and the power failure time, the power consumption safety of important equipment is ensured, the power consumption experience of enterprises and residents is improved, and serious economic loss is prevented.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The intelligent power failure management method is characterized by comprising the following steps of:
101. setting a time window, and acquiring historical data of a time window before the current time;
102. deleting the abnormal value of the historical data, and filling the missing data in the historical data;
103. calculating average total power, average current, average voltage, average power consumption, median of power consumption and average power of the intelligent socket of each user in the processed historical power consumption data set at all times, and taking the average power as new characteristic data to obtain model historical power consumption data;
104. dividing all users into k clusters according to the model historical electricity consumption data set, and counting the total number of users in each cluster, the median of electricity consumption, the average electricity consumption of the cluster users and the user proportion of the electricity consumption exceeding the average electricity consumption of the cluster users;
105. manually marking each cluster according to the statistical data, and marking k clusters as A1, A2, … and Ak, namely giving each cluster an electricity utilization priority;
106. and determining a user range needing to provide the necessary continuous power consumption according to the power utilization priority, and providing the necessary continuous power consumption for the user needing to provide the necessary continuous power consumption according to the reported data.
2. The intelligent power outage management method according to claim 1, wherein the process of filling missing data in the historical data comprises: the method for filling up the missing value at the head and the tail of the data by the proximity method, namely if the missing value exists at the head, filling up the missing value at the head by using the data at the next time, if the missing value exists at the tail, filling up the missing value at the tail by using the data at the last time, filling up the missing value at the rest positions by using the linear interpolation, and the missing value filled up by using the linear interpolation is expressed as:
wherein y represents the missing feature value, x represents the current time, x1 represents the next time of the current time, x0 represents the last time of the current time, y1 represents the feature value of x1 time, and y0 represents the feature value of x0 time.
3. The method of claim 1, wherein the step of dividing all users into k clusters based on the historical electricity usage data set of the users comprises: and randomly determining k cluster center points, calculating the distance between the user and the center points by adopting Euclidean distance, updating the user in the clusters, and updating the cluster center points by using the average value of the distances between the user and the center points in the clusters until the user in the k clusters is not changed, so as to obtain k clusters.
4. The intelligent power outage management method according to claim 1, wherein the calculating of the necessary continuous power consumption provided for the user who needs to provide the necessary continuous power consumption specifically comprises:
201. determining a power outage time T, and determining an initial necessary continuous power consumption of a user who needs to provide the necessary continuous power consumption, wherein the initial necessary continuous power consumption is expressed as:
initially necessary sustained power = sum of reported device powers with credentials x T;
202. judging whether the initial necessary continuous power consumption of the user is larger than (average power consumption-threshold A)/24 xT, if so, executing step 203, otherwise, executing step 204;
203. the necessary continuous power consumption= (average power consumption-threshold a)/24×t;
204. the necessary continuous power consumption=the initial necessary continuous power consumption.
5. The intelligent power outage management method according to claim 1, wherein the intelligent socket is used for regulating and controlling the power consumption condition of a user who needs to provide necessary continuous power consumption, and the intelligent power outage management method specifically comprises the following steps:
301. determining necessary continuous electricity consumption of the intelligent socket in the power failure time T, wherein the necessary continuous electricity consumption is expressed as:
the amount of electricity that the smart jack must last = the sum of the device powers that use the smart jack x T;
302. acquiring the user electricity consumption after power failure from the electricity consumption management system, judging whether the user electricity consumption exceeds the necessary continuous electricity consumption, if so, executing step 303, otherwise, executing step 304;
303. if the electricity consumption of the user exceeds the necessary continuous electricity consumption, stopping supplying power;
304. acquiring the electricity consumption of the intelligent socket after power failure from a third-party intelligent socket management system;
305. judging whether the electricity consumption of the intelligent socket exceeds the necessary continuous electricity consumption of the intelligent socket, if so, executing a step 306, otherwise, executing a step 302;
306. and if the electricity consumption of the intelligent socket exceeds the necessary continuous electricity consumption of the intelligent socket, closing the intelligent socket.
6. The method of claim 1, wherein in the process of supplying power to a user who needs to supply the necessary continuous power consumption, it is verified whether the power consumption exceeds the necessary continuous power consumption in the period of time every t hours, and if so, the user is reminded of cautious power consumption.
7. An intelligent power outage management system, which is characterized by being used for realizing the intelligent power outage management method according to claim 1, and comprising a data collection and processing module, a user rating module, a necessary continuous power consumption determining module, a power consumption scheduling management module and a verification module, wherein:
the data collection and processing module is used for acquiring historical information of a user, preprocessing the acquired information and acquiring a data historical electricity utilization data set corresponding to the historical information of the user;
the user rating module is used for clustering all users based on the model historical electricity utilization data set and dividing electricity utilization priority;
the necessary continuous power consumption determining module is used for determining necessary continuous power consumption for a user needing to provide the necessary continuous power consumption;
the power consumption scheduling management module is used for regulating and controlling the power consumption of a user needing to provide necessary continuous power consumption during power failure through an ammeter or an intelligent socket;
and the verification module is used for verifying whether the actual power consumption of the user needing to provide the necessary continuous power consumption during the power failure is consistent with the necessary continuous power consumption reported by the user, providing a control basis for the power consumption scheduling management module and reminding the user of cautious power consumption.
8. The intelligent outage management system according to claim 7, wherein the data collection and processing module pre-processes the data including supplementing missing data from the historical data, comprising: the method for filling up the missing value at the head and the tail of the data by the proximity method, namely if the missing value exists at the head, filling up the missing value at the head by using the data at the next time, if the missing value exists at the tail, filling up the missing value at the tail by using the data at the last time, filling up the missing value at the rest positions by using the linear interpolation, and the missing value filled up by using the linear interpolation is expressed as:
wherein y represents the missing feature value, x represents the current time, x1 represents the next time of the current time, x0 represents the last time of the current time, y1 represents the feature value of x1 time, and y0 represents the feature value of x0 time.
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| CN117592770B (en) * | 2024-01-19 | 2024-04-12 | 成都秦川物联网科技股份有限公司 | Intelligent gas industry and commercial tenant flowmeter regulation and control method, internet of things system and medium |
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