CN110826859A - Method and system for remotely identifying electricity consumption property of user based on daily electricity quantity - Google Patents
Method and system for remotely identifying electricity consumption property of user based on daily electricity quantity Download PDFInfo
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Abstract
The invention discloses a method and a system for remotely identifying electricity consumption properties of a user based on daily electricity quantity, wherein the method comprises the following steps: step S1, data collection is carried out on the daily electric quantity of a reference user in a certain time period, statistics is carried out according to the electric utilization types of different reference users, a daily electric quantity model corresponding to the electric utilization type and an allowable fluctuation range of a relevant characteristic value describing the model are obtained, and the data are used as a basis for judging the electric utilization property; and step S2, acquiring the daily electricity consumption information of the user to be analyzed through system acquisition and data in the database, comparing the daily electricity consumption information with a daily electricity consumption model and relevant characteristic value data describing the model, judging the electricity consumption property of the user, and outputting a judgment result. By implementing the method and the device, the power utilization type of the user is judged remotely, the power utilization property error problem of the user is judged remotely in time, the problem user is quickly and accurately determined, the monitoring cost is effectively reduced, and the cost is lower compared with the judging method in the prior art.
Description
Technical Field
The invention belongs to the field of electric power, and relates to a method and a system for remotely identifying electricity consumption properties of users based on daily electric quantity.
Background
The buildings for business and residential use in some areas are more, and the situation of illegal electricity utilization such as high price and low connection exists in many areas due to historical reasons, so that the problems are widely existed and distributed more dispersedly, and the field investigation workload and the working difficulty are very large.
The situation of illegal electricity utilization destroys the normal electricity utilization order, and causes the loss of national resources; on the other hand, the situation that the power receiving device is not matched with the actual power utilization situation exists in the default power utilization situation, and a large potential safety hazard exists in a power utilization site, so that accidents such as electric shock and fire are easily caused.
At present, no effective method is available for solving the problems, more than all, the methods are to check the combination of the special-purpose variable resident meters and the resident meters with large power consumption and to generally check the resident buildings according to the field experience of power consumption inspection, and the methods have the disadvantages of weak pertinence, large workload and unobvious working effect
Aiming at the current situation that the related problems of power consumption property errors exist widely and a better method for timely finding and processing the problems is not available, a method for remotely identifying the power consumption properties of the user is urgently needed, the power consumption properties of the user can be remotely judged in real time according to the power consumption conditions of the user, workers are helped to find the problems of the power consumption property errors of the user in time and perform field processing in a targeted manner, the problems are solved, potential safety hazards are eliminated, and normal power consumption order is maintained.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a method and a system for remotely identifying a user power consumption property based on a daily power consumption, where the problems related to power consumption property errors exist widely, a better method for timely finding and processing the problems is not available, the user power consumption property cannot be remotely identified, and the user power consumption property cannot be judged in real time according to the user power consumption condition.
In one aspect of the present invention, a method for remotely identifying a user electricity consumption property based on a daily electricity amount is provided, which includes the following steps:
step S1, data collection is carried out on the daily electric quantity of a reference user in a certain time period, statistics is carried out according to the electric utilization types of different reference users, a daily electric quantity model corresponding to the electric utilization type and an allowable fluctuation range of a relevant characteristic value describing the model are obtained, and the data are used as a basis for judging the electric utilization property;
and step S2, acquiring the daily electricity consumption information of the user to be analyzed through system acquisition and data in the database, comparing the daily electricity consumption information with a daily electricity consumption model and relevant characteristic value data describing the model, judging the electricity consumption property of the user, and outputting a judgment result.
Further, in step S1, the specific process of obtaining the daily power model corresponding to the power usage category includes initializing the user daily power data according to the maximum daily power value in the reference user detection period, and initializing the daily power value of the reference user to a value between 0 and 1.
Further, in step S1, the specific process of obtaining the daily electricity model corresponding to the electricity usage category further includes, after the initialization, replacing the electricity usage period corresponding to the daily electricity data with a corresponding week number value according to a rule that the electricity usage by the user is referred to and a week change is presented, and presenting a week change of the electricity usage by the abscissa.
Further, in step S1, the specific process of obtaining the daily electrical quantity model corresponding to the power consumption category further includes integrating the daily electrical quantity models of the respective reference users by a weighted average method to obtain a comprehensive daily electrical quantity model of the power consumption type, and selecting a characteristic value thereof.
Further, in step S1, the selecting the eigenvalue specifically includes calculating the eigenvalue by using the following formula:
wherein, WmaxTo observe the maximum amount of electricity, WminTo observe the minimum amount of electricity, WaveIs the average electric quantity, k1Is the peak-to-valley difference rate, k2As load factor, k3The daily maximum load utilization time.
Accordingly, in another aspect of the present invention, there is also provided a system for remotely identifying a property of power consumption of a user based on a daily power amount, including:
the first input module is used for acquiring power consumption data of a reference user and a user to be analyzed, preprocessing the acquired data and outputting the processed data to the model building module;
the second input module is used for acquiring power consumption data of a user to be analyzed, counting and preprocessing the acquired data of the user with analysis, and outputting the processed data to the model comparison module;
the model building module is used for analyzing and obtaining a daily electric quantity model and a model building of the characteristic value of each power utilization type and outputting the processed data to the model comparison module;
and the model comparison module is used for analyzing and comparing the data input by the first input module and the second input module and the model.
Further, the system also comprises an output module, wherein the output module is used for outputting the result data analyzed and processed by the model comparison module.
Further, the model building module counts the daily electric quantity change conditions of all reference users, obtains a comprehensive daily electric quantity model of the power utilization category by a weighted average method, calculates the characteristic value of each reference user and the allowable range of the deviation value between the user and the comprehensive daily electric quantity model respectively, obtains the allowable fluctuation range of the characteristic value of the power utilization category user, and outputs the information to the model comparison module.
Further, the model comparison module measures a deviation value between the power consumption of the user to be analyzed and the comprehensive daily power model through a SUMXMY2 function, calculates a characteristic value of the user to be analyzed, judges whether the deviation value and the characteristic value are within an allowable range, if the user to be analyzed cannot meet the comprehensive daily power model of the power consumption category, continues to compare the user to be analyzed with the comprehensive daily power models of other categories until the power consumption category of the user to be analyzed is found out, and outputs a judgment result through the output module.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method and a system for remotely identifying user electricity consumption properties based on daily electricity, wherein standard data are analyzed and modeled to build daily electricity models of various electricity consumption types and characteristic value fluctuation ranges of the daily electricity models; collecting an analysis object through comparative analysis and carrying out comparative analysis on the analysis object and a model obtained by a reference part; by calculating the deviation value and the characteristic value of the analysis object and the reference model, the power utilization type of the user is judged remotely, the power utilization property error problem of the user is judged remotely in time, the problem user is determined quickly and accurately, the monitoring cost is effectively reduced, and meanwhile, the cost is lower compared with the judging method in the prior art.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is within the scope of the present invention for those skilled in the art to obtain other drawings based on the drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a method for remotely identifying a user electricity consumption property based on daily electricity consumption according to the present invention.
Fig. 2 is a schematic diagram of an architecture of a system for remotely identifying a user electricity consumption property based on daily electricity consumption according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, a main flow diagram of an embodiment of a method for remotely identifying a user electricity property based on a daily electricity amount according to the present invention is shown, and in this embodiment, the method includes the following steps:
step S1, data collection is carried out on the daily electric quantity of a reference user in a certain time period, statistics is carried out according to the electric utilization types of different reference users, a daily electric quantity model corresponding to the electric utilization type and an allowable fluctuation range of a relevant characteristic value describing the model are obtained, and the data are used as a basis for judging the electric utilization property;
and step S2, acquiring the daily electricity consumption information of the user to be analyzed through system acquisition and data in the database, comparing the daily electricity consumption information with a daily electricity consumption model and relevant characteristic value data describing the model, judging the electricity consumption property of the user, and outputting a judgment result.
In a specific embodiment, in step S1, the specific process of obtaining the daily electricity model corresponding to the electricity usage category includes initializing the user daily electricity data according to the maximum daily electricity value in the reference user detection period, and initializing the daily electricity value of the reference user to a value between 0 and 1, so as to eliminate the influence caused by the actual electricity usage of different users and reflect the actual electricity fluctuation.
Specifically, in step S1, the specific process of obtaining the daily electricity model corresponding to the electricity usage category further includes, after initialization, replacing the electricity usage period corresponding to the daily electricity data with a corresponding week number according to a rule that the electricity usage of the reference user shows periodic changes in units of weeks, and showing the weekly change of the electricity of the user as an abscissa, thereby reflecting the weekly change of the electricity of the user.
Specifically, in step S1, the specific process of obtaining the daily electrical quantity model corresponding to the electricity usage category further includes integrating the daily electrical quantity models of the respective reference users by a weighted average method to obtain a comprehensive daily electrical quantity model of the electricity usage type, and selecting a characteristic value thereof.
Specifically, in step S1, the selecting the characteristic value is specifically calculated by using the following formula:
wherein, WmaxTo observe the maximum amount of electricity, WminTo observe the minimum amount of electricity, WaveIs the average electric quantity, k1Is the peak-to-valley difference rate, k2As load factor, k3The daily maximum load utilization time.
Correspondingly, another aspect of the present invention provides a system for remotely identifying the electricity consumption property of a user based on the daily electricity consumption, as shown in fig. 2, for implementing any one of the methods, where the system includes:
the first input module is used for acquiring power consumption data of a reference user and a user to be analyzed, preprocessing the acquired data and outputting the processed data to the model building module;
the second input module is used for acquiring power consumption data of a user to be analyzed, counting and preprocessing the acquired data of the user with analysis, and outputting the processed data to the model comparison module;
the model building module is used for analyzing and obtaining a daily electric quantity model and a model building of the characteristic value of each power utilization type and outputting the processed data to the model comparison module;
and the model comparison module is used for analyzing and comparing the data input by the first input module and the second input module and the model.
In a specific embodiment, the system further comprises an output module, and the output module is used for outputting the result data analyzed and processed by the model comparison module.
Specifically, the model building module counts the daily electricity quantity change conditions of all reference users, obtains a comprehensive daily electricity quantity model of the electricity utilization category by a weighted average method, calculates the characteristic value of each reference user and the allowable range of the deviation value between the user and the comprehensive daily electricity quantity model respectively, obtains the allowable fluctuation range of the characteristic value of the electricity utilization category user, and outputs the information to the model comparison module.
Specifically, the model comparison module measures a deviation value between the power consumption of the user to be analyzed and the comprehensive daily power model through a SUMXMY2 function, calculates a characteristic value of the user to be analyzed, judges whether the deviation value and the characteristic value are within an allowable range, and if the user to be analyzed cannot meet the comprehensive daily power model of the power consumption category, continues to compare the user to be analyzed with the comprehensive daily power models of other categories until the power consumption category of the user to be analyzed is found out, and outputs a judgment result through the output module.
The system for remotely identifying the electricity consumption property of the user based on the daily electricity quantity, provided by the invention, has the advantages that the first input module is used for collecting and inputting the daily electricity quantity data of the reference user, the module carries out statistical analysis on the daily electricity quantity change conditions of all the reference users, a comprehensive daily electricity quantity model of the electricity consumption category is obtained by a weighted average method, and the characteristic values k of all the reference users are respectively calculated1、k2、k3Obtaining the allowable fluctuation range of the characteristic value of the electricity utilization type user and outputting the information to the model comparison module; the daily electric quantity data of the user to be analyzed is transmitted to the model comparison module through the second input module, in the model comparison module, the deviation value between the user to be analyzed and the comprehensive daily electric quantity model is measured through the SUMXMY2 function, and the characteristic value k of the user to be analyzed is calculated1、k2、k3Judging whether the deviation value and the characteristic value obtained by comparison are within an allowable range, if the user does not meet the comprehensive daily electric quantity model of the power utilization category, comparing the deviation value and the characteristic value with the comprehensive daily electric quantity models of other categories until the power utilization category of the user is found out, and outputting a judgment result through an output module; furthermore, in the specific process of continuously judging the power utilization property of the user, the model building module can be continuously builtAnd correcting, optimizing deviation and fluctuation range of characteristic values, and improving judgment capability of the whole system.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method and a system for remotely identifying user electricity consumption properties based on daily electricity, wherein standard data are analyzed and modeled to build daily electricity models of various electricity consumption types and characteristic value fluctuation ranges of the daily electricity models; collecting an analysis object through comparative analysis and carrying out comparative analysis on the analysis object and a model obtained by a reference part; by calculating the deviation value and the characteristic value of the analysis object and the reference model, the power utilization type of the user is judged remotely, the power utilization property error problem of the user is judged remotely in time, the cost of the user with the problem is effectively reduced quickly and accurately, and the cost is lower compared with that of a judging method in the prior art.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (9)
1. A method for remotely identifying electricity consumption properties of a user based on daily electricity consumption is characterized by comprising the following steps:
step S1, data collection is carried out on the daily electric quantity of a reference user in a certain time period, statistics is carried out according to the electric utilization types of different reference users, a daily electric quantity model corresponding to the electric utilization type and an allowable fluctuation range of a relevant characteristic value describing the model are obtained, and the data are used as a basis for judging the electric utilization property;
and step S2, acquiring the daily electricity consumption information of the user to be analyzed through system acquisition and data in the database, comparing the daily electricity consumption information with a daily electricity consumption model and relevant characteristic value data describing the model, judging the electricity consumption property of the user, and outputting a judgment result.
2. The method of claim 1, wherein the step S1 of obtaining the daily capacity model corresponding to the power consumption category includes initializing the user daily capacity data according to a maximum daily capacity value in the reference user detection period, and initializing the reference user daily capacity value to a value between 0 and 1.
3. The method according to claim 2, wherein in step S1, the step of obtaining the daily electricity model corresponding to the electricity usage category further comprises, after initialization, replacing the electricity usage period corresponding to the daily electricity data with a corresponding week number according to a rule that the user electricity usage exhibits a periodic change in a week unit, and representing the weekly change of the user electricity as an abscissa.
4. The method according to claim 3, wherein the step S1 of obtaining the daily capacity model corresponding to the power consumption category further comprises integrating the daily capacity models of the respective reference users by a weighted average method to obtain a comprehensive daily capacity model of the power consumption category, and selecting the characteristic value thereof.
5. The method according to claim 4, wherein in step S1, the selecting the eigenvalue is specifically calculated by using the following formula:
wherein, WmaxTo observe the maximum amount of electricity, WminTo observe the minimum amount of electricity, WaveIs the average electric quantity, k1Is the peak-to-valley difference rate, k2As load factor, k3The daily maximum load utilization time.
6. A system for remotely identifying the electricity consumption property of a user based on the daily electricity consumption, which is used for realizing the method of any one of claims 1 to 5, and is characterized in that the system comprises:
the first input module is used for acquiring power consumption data of a reference user and a user to be analyzed, preprocessing the acquired data and outputting the processed data to the model building module;
the second input module is used for acquiring power consumption data of a user to be analyzed, counting and preprocessing the acquired data of the user with analysis, and outputting the processed data to the model comparison module;
the model building module is used for analyzing and obtaining a daily electric quantity model and a model building of the characteristic value of each power utilization type and outputting the processed data to the model comparison module;
and the model comparison module is used for analyzing and comparing the data input by the first input module and the second input module and the model.
7. The system of claim 6, further comprising an output module for outputting the result data analyzed and processed by the model comparison module.
8. The system of claim 7, wherein the model building module counts the daily electricity quantity change conditions of all reference users, obtains the comprehensive daily electricity quantity model of the electricity utilization category by a weighted average method, calculates the characteristic value of each reference user and the allowable range of the deviation value between the user and the comprehensive daily electricity quantity model respectively, obtains the allowable fluctuation range of the characteristic value of the user of the electricity utilization category, and outputs the information to the model comparison module.
9. The system of claim 8, wherein the model comparison module measures a deviation value between the power consumption of the user to be analyzed and the comprehensive daily power model, calculates the characteristic value of the user to be analyzed, and determines whether the deviation value and the characteristic value are within an allowable range, if the user to be analyzed cannot meet the comprehensive daily power model of the power consumption category, the model comparison module continues to compare the user to be analyzed with the comprehensive daily power models of other categories until the power consumption category of the user to be analyzed is found, and the output module outputs the determination result.
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