CN114707860A - ECI-based user power utilization information management system - Google Patents
ECI-based user power utilization information management system Download PDFInfo
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Abstract
The invention discloses a user electricity consumption information management system based on ECI, belonging to the field of electric power and used for solving the problem that users of profitable electric equipment adopt uniform service levels and service differentiation is not realized by combining data such as electric power consumption indexes, and the system comprises a data analysis module, a level setting module, a service setting module, a terminal simulation module, a virtual marking module and an ECI analysis module, wherein the data analysis module is used for analyzing the electricity consumption information of the users and feeding back the user value of the user terminal obtained through analysis to a server, the server sends the user value of the user terminal to the level setting module, the level setting module is used for setting the user level of the user terminal to obtain the service level of the user terminal and feeding back the service level of the user terminal to the server, and the server sends the server level of the user terminal to the server setting module, the service setting module sets corresponding service measures according to the service level of the user, and the service of the power consumer is set in a differentiated mode according to data such as power consumption indexes.
Description
Technical Field
The invention belongs to the field of electric power backup, relates to a power utilization information management technology, and particularly relates to a user power utilization information management system based on ECI.
Background
Electric power is an energy source using electric energy as power. The discovery and application of electric power has raised the second industrialized climax, and is one of three technological revolution in the world, and the technology has changed the lives of people. Large-scale power systems are one of the most important achievements in the history of human engineering science, and are power generation and consumption systems consisting of links such as power generation, power transmission, power transformation, power distribution and power utilization. It converts the primary energy of nature into electric power through mechanical energy devices, and then supplies the electric power to each user through power transmission, transformation and distribution.
In the prior art, the unified service level is adopted for the power users at present, and because the power consumption requirements, the power consumption and the like are different, the method is particularly applied to profitable power utilization equipment such as power consumption piles and the like, with the upgrading of the power analysis technology, the ECI becomes the very critical data in the current power analysis data, but certain problems exist in statistics, due to the differences in power supply requirements among individuals, a single user may have multiple power supply requirements, for example, the users in the factory area have the requirements of resident power supply and production power supply, the rural areas have the requirements of cultivation power supply and residential power supply, however, the existing ECI statistics only carries out fuzzy management on the information, cannot realize finer data statistics, and cannot differentiate services of power utilization users by combining data such as power consumption indexes, and therefore, a user power utilization information management system based on the ECI is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a user electricity utilization information management system based on ECI.
The technical problem to be solved by the invention is as follows:
(1) how to combine data such as power consumption index to carry out differentiation setting to electric power consumer's service.
The purpose of the invention can be realized by the following technical scheme:
a user electricity consumption information management system based on ECI comprises a power supply node, a data acquisition module, a data analysis module, a grade setting module, a service setting module, a terminal simulation module, a virtual marking module, an ECI analysis module, a user terminal and a server;
the user terminal comprises a registration login unit and an identity authentication unit, wherein the registration login unit is used for registering a login system after a user inputs user information and sending the user information to the server for storage; the identity authentication unit is used for identifying the logged-in user, logging in the system after the user identity authentication is passed and selecting a corresponding power supply node;
the data acquisition module is used for analyzing the user terminal according to the user information to obtain a plurality of power utilization nodes, acquiring power utilization information of each power utilization node and sending the power utilization information to the server, the server sends the power utilization information to the data analysis module, the data analysis module is used for analyzing the power utilization information of the user, analyzing to obtain a user value YHu of the user terminal and feeding the user value YHu back to the server, and the server sends the user value of the user terminal to the grade setting module;
the level setting module is used for setting the user level of the user terminal to obtain the service level of the user terminal and feeding the service level back to the server, the server sends the server level of the user terminal to the server setting module, and the service setting module generates power supply service information according to the power supply requirement information of the power utilization node and the corresponding server level;
the terminal simulation module generates a virtual terminal according to each power utilization node, collects real-time power utilization information of the power utilization nodes as power utilization information of the virtual terminals, configures virtual weights for each virtual terminal, and the sum of the virtual weights of the power utilization nodes of the same user terminal is 1;
the virtual marking module is configured with a marking index strategy, the marking index strategy selects the industry data with the highest matching degree from a preset industry marking database according to the power supply service information, and the industry data is used as the mark of the virtual terminal;
and the ECI analysis module monitors the power utilization information of each virtual terminal and generates ECI analysis data according to the corresponding marks.
Further, the user information comprises the industry, the operation range, the scale and the number of the power utilization nodes of the user;
the electricity utilization information comprises the electricity utilization starting time, the electricity utilization duration and the electricity utilization times of the user.
Further, the analysis process of the data analysis module is specifically as follows:
the method comprises the following steps: marking the users as u, u is 1, 2, … …, z, and z is a positive integer; acquiring a plurality of power supply nodes in a preset range according to the geographical position of a user terminal;
step two: acquiring the connection times LCu of the user terminal and the power supply nodes within the preset range and the connection duration of each connection, and summing the connection durations of each connection to obtain the total connection duration ZTu of the user terminal and the power supply nodes within the preset range;
step three: dividing the total connection duration by the connection times to obtain the equal connection time JLTu of the user terminal and the power supply node in the preset range;
step four: acquiring the electricity utilization starting time when the user terminal is connected with the power supply node in the preset range every time, calculating the difference value of the electricity utilization starting time of adjacent connection times to obtain the electricity utilization interval time length, adding the electricity utilization interval time lengths, summing and averaging to obtain the average electricity utilization interval time JJTu of the user terminal and the power supply node in the preset range;
step five: using formulas
Calculating to obtain a user value YHu of the user terminal; in the formula, a1 and a2 are both weight coefficients with fixed values, and the values of a1 and a2 are both larger than zero.
Further, the setting process of the level setting module is specifically as follows:
step S1: the method comprises the steps that effective connection time of a power supply node is stored in a server, the connection time of each connection of a user terminal and the power supply node in a preset range is compared with the effective connection time, the connection times of the connection time exceeding the effective connection time are recorded as effective connection, and the effective connection times YLCU of the user terminal and the power supply node in the preset range are obtained by counting the effective connection times;
step S2: the effective connection times YLCU are compared with the connection times LCu to obtain the effective connection rate YLUV of the user terminal and the power supply node in the preset range;
step S3: by the formula
Calculating to obtain a grade value DJu of the user terminal; in the formula, alpha is a positive integer with a fixed numerical value;
step S4: if DJu is less than X1, the service level of the user terminal is low demand;
step S5: if the X1 is more than DJu and less than or equal to X2, the service level of the user terminal is medium demand;
step S6: if the X2 is less than or equal to DJu, the service level of the user terminal is high in demand; wherein X1 and X2 are both level thresholds, and X1 < X2.
Further, the power supply service information includes a power supply amount, a power supply threshold value and a power supply quality.
Further, the mark index strategy comprises a screening step and a calculating step, the screening step comprises the step of generating a screening group from industry data meeting conditions in the industry mark database according to power supply service information, the calculating step obtains key words in user information, and the matching degree of each key word and each industry data in the screening group is calculated.
The system further comprises a layout optimization module, wherein the data acquisition module is also used for acquiring the use information of the power supply nodes in the preset range of the user terminal and sending the use information to the server; the server sends the use information to a layout optimization module, the layout optimization module is used for optimizing the layout of the power supply nodes in a preset range of the user terminal, and a layout optimization signal or a layout normal signal generated by work is fed back to the server;
if the server receives the layout optimization signal, the power supply nodes in the preset range of the user terminal are rectified;
and if the server receives the layout optimization normal signal, no operation is performed.
Further, the usage information includes the number of times of power consumption and the number of times of failure of the power supply node.
Further, the working process of the layout optimization module is specifically as follows:
step SS 1: marking power supply nodes in a preset range of the user terminal as ui, wherein i is 1, 2, … …, x and x are positive integers, and i represents the number of the power supply nodes;
step SS 2: the method comprises the steps of obtaining the effective connection rate YLVui of a power supply node in a preset range of a user terminal, obtaining the failure times of the power supply node in the preset range of the user terminal, and marking the failure times as GCui;
step SS 3: by the formula
Calculating to obtain an optimized value Yu of the power supply node within a preset range of the user terminal; in the formula, beta is an error compensation coefficient of a fixed numerical value, and the value of beta is greater than zero;
step SS 4: obtaining an optimization interval stored in a server, and obtaining the optimization interval where a power supply node is located in a preset range of a user terminal according to an optimization value;
step SS 5: different optimization intervals correspond to user terminals with different service levels, a first optimization interval corresponds to a user terminal with low demand, a second optimization interval corresponds to a user terminal with medium demand, and a third optimization interval corresponds to a user terminal with high demand;
step SS 6: if the current service level of the power supply node in the preset range of the user terminal is lower than the service level of the user terminal corresponding to the optimization interval, generating a layout optimization signal;
if the current service level of the power supply node in the preset range of the user terminal is higher than the service level of the user terminal corresponding to the optimization interval, generating a normal layout signal;
and if the current service level of the power supply node in the preset range of the user terminal is the same as the service level of the user terminal corresponding to the optimization interval, generating a normal layout signal.
Further, the optimization interval comprises a first optimization interval, a second optimization interval and a third optimization interval, the upper limit value of the first optimization interval is smaller than the lower limit value of the second optimization interval, and the upper limit value of the second optimization interval is smaller than the lower limit value of the third optimization interval.
Compared with the prior art, the invention has the beneficial effects that:
the power utilization information of a user is analyzed through the data analysis module, the user value of the user terminal is obtained through analysis according to the connection equalization and the power utilization interval equalization of the user terminal and a power supply node in a preset range, the data analysis module sends the user value of the user terminal to the grade setting module, then the grade setting module sets the user grade of the user terminal, the user value is combined with the grade value of an effective connection rate user terminal, the grade value is compared with a set threshold value to obtain the service grade corresponding to the user terminal and is sent to the server setting module, and the service setting module sets corresponding service measures according to the service grade of the user.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a system block diagram of a user terminal according to the present invention;
FIG. 3 is a system block diagram of a data acquisition module of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 3, an ECI-based user electricity consumption information management system includes a power supply node, a data acquisition module, a data analysis module, a level setting module, a service setting module, a terminal simulation module, a virtual marking module, an ECI analysis module, a layout optimization module, a user terminal, and a server;
the server is connected with a plurality of power supply nodes and a user terminal, the power supply nodes are used for power utilization of power utilization equipment of a user, and in specific implementation, the power supply nodes can be power utilization piles or power utilization seats, and are not specifically limited;
the user terminal comprises a registration login unit and an identity authentication unit, wherein the registration login unit is used for registering a login system after a user inputs user information and sending the user information to the server for storage, and the user information comprises a name, a mobile phone number, a face image, an address and the like of the user; the identity authentication unit is used for identifying the logged-in user, logging in the system after the user identity authentication is passed and selecting a corresponding power supply node;
the data acquisition module is used for analyzing the user terminal according to the user information to obtain a plurality of power utilization nodes, acquiring power utilization information of each power utilization node and sending the power utilization information to the server, and during specific implementation, the data acquisition module can be a timer, a counter, a positioning instrument, a current detection unit, a voltage detection unit and the like, can also adopt substitute products with the same function, and is not specifically limited herein;
specifically, the electricity consumption information includes the electricity consumption starting time, the electricity consumption duration, the electricity consumption times and the like of the user;
the server sends the electricity utilization information to the data analysis module, the data analysis module is used for analyzing the electricity utilization information of the user, and the analysis process specifically comprises the following steps:
the method comprises the following steps: marking the users as u, u is 1, 2, … …, z, and z is a positive integer; acquiring a plurality of power supply nodes within a preset range according to the geographical position of the user terminal;
step two: acquiring the connection times LCu of the user terminal and the power supply nodes in the preset range and the connection time length of each connection, and summing the connection time lengths of each connection to obtain the total connection time length ZTu of the user terminal and the power supply nodes in the preset range;
step three: dividing the total connection duration by the connection times to obtain the equal connection time JLTu of the user terminal and the power supply node in the preset range;
step four: acquiring the electricity utilization starting time when the user terminal is connected with the power supply node in the preset range every time, calculating the difference value of the electricity utilization starting time of adjacent connection times to obtain the electricity utilization interval time length, adding the electricity utilization interval time lengths, summing and averaging to obtain the average electricity utilization interval time JJTu of the user terminal and the power supply node in the preset range;
step five: using formulas
Calculating to obtain a user value YHu of the user terminal; in the formula, a1 and a2 are both weight coefficients with fixed numerical values, and the values of a1 and a2 are both larger than zero;
the data analysis module feeds back a user value YHu of the user terminal to the server, the server sends the user value of the user terminal to the level setting module, the level setting module is used for setting the user level of the user terminal, and the setting process specifically comprises the following steps:
step S1: the method comprises the steps that effective connection time of a power supply node is stored in a server, the connection time of each connection of a user terminal and the power supply node in a preset range is compared with the effective connection time, the connection times of the connection time exceeding the effective connection time are recorded as effective connection, and the effective connection times YLCU of the user terminal and the power supply node in the preset range are obtained by counting the effective connection times;
step S2: the effective connection times YLCU are compared with the connection times LCu to obtain the effective connection rate YLUV of the user terminal and the power supply node in the preset range;
step S3: by the formula
Calculating to obtain a grade value DJu of the user terminal; in the formula, alpha is a positive integer with a fixed numerical value;
step S4: if DJu is less than X1, the service level of the user terminal is low demand;
step S5: if the X1 is more than DJu and less than or equal to X2, the service level of the user terminal is medium demand;
step S6: if the X2 is less than or equal to DJu, the service level of the user terminal is high in demand; wherein X1 and X2 are both level thresholds, and X1 < X2;
the grade setting module feeds back the service grade of the user terminal to the server, the server sends the server grade of the user terminal to the server setting module,
specifically, the data acquisition module is further configured to acquire use information of the power supply node within a preset range of the user terminal, and send the use information to the server;
the use information comprises the electricity utilization times, the failure times and the like of the power supply node;
the server sends the use information to a layout optimization module, the service user is facilitated through the management of the power supply nodes, the layout optimization module is used for optimizing the layout of the power supply nodes in a preset range of the user terminal, and the working process is as follows:
step SS 1: marking power supply nodes in a preset range of a user terminal as ui, wherein i is 1, 2, … …, x and x are positive integers, and i represents the number of the power supply nodes;
step SS 2: according to the method, the effective connection rate YLVui of the power supply node in the preset range of the user terminal is obtained, meanwhile, the failure times of the power supply node in the preset range of the user terminal are obtained, and the failure times are marked as GCui;
step SS 3: by the formula
Calculating to obtain an optimized value Yu of the power supply node within a preset range of the user terminal; in the formula, beta is an error compensation coefficient of a fixed numerical value, and the value of beta is greater than zero;
step SS 4: obtaining an optimization interval stored in a server, and obtaining the optimization interval where a power supply node is located in a preset range of a user terminal according to an optimization value;
the optimization interval comprises a first optimization interval, a second optimization interval and a third optimization interval, the upper limit value of the first optimization interval is smaller than the lower limit value of the second optimization interval, and the upper limit value of the second optimization interval is smaller than the lower limit value of the third optimization interval;
step SS 5: different optimization intervals correspond to user terminals with different service levels, a first optimization interval corresponds to a user terminal with low demand, a second optimization interval corresponds to a user terminal with medium demand, and a third optimization interval corresponds to a user terminal with high demand;
step SS 6: if the current service level of the power supply node in the preset range of the user terminal is lower than the service level of the user terminal corresponding to the optimization interval, generating a layout optimization signal;
if the current service level of the power supply node in the preset range of the user terminal is higher than the service level of the user terminal corresponding to the optimization interval, generating a normal layout signal;
if the current service level of the power supply node in the preset range of the user terminal is the same as the service level of the user terminal corresponding to the optimization interval, generating a normal layout signal;
the layout optimization module feeds back a layout optimization signal or a layout normal signal to the server, and if the server receives the layout optimization signal, the power supply node in a preset range of the user terminal is modified;
and if the server receives the layout optimization normal signal, no operation is performed.
A user power consumption information management system based on ECI is characterized in that a server is connected with a plurality of power supply nodes and a user terminal when in work, a user registers a login system after inputting user information through a login registering unit and sends the user information to the server for storage, during login, the identity of the logged-in user is verified through an identity verifying unit, and the logged-in user logs in the system and selects the corresponding power supply node after the user identity verification is passed;
the principle is that a user inputs different numbers and corresponding types of the power utilization nodes, then the positions of the power utilization nodes can be determined according to loop relations because each power utilization node is provided with an acquisition unit (such as an ammeter and a power distribution end), historical power utilization data of the power utilization nodes can be acquired to generate power utilization information, the power utilization information is sent to a server, the server sends the power utilization information to a data analysis module, the power utilization information of the user is analyzed through the data analysis module, the user is marked as u, and a plurality of power supply nodes in a preset range are acquired according to the geographic position of the user terminal, acquiring the connection times LCu of a user terminal and a power supply node within a preset range and the connection time length during each connection, adding and summing the connection time lengths during each connection to obtain the total connection time length ZTu of the user terminal and the power supply node within the preset range, dividing the total connection time length by the connection times to obtain the uniform connection JLTU of the user terminal and the power supply node within the preset range, then acquiring the power utilization starting time during each connection of the user terminal and the power supply node within the preset range, and calculating the difference value of the power utilization starting time of adjacent connection times to obtain the power utilization intervalThe time length, the electricity consumption interval time length is added and averaged to obtain the electricity consumption interval average time JJTu of the user terminal and the power supply node in the preset range, and a formula is utilized
Calculating to obtain a user value YHu of the user terminal, and feeding back the user value YHu of the user terminal to the server by the data analysis module;
the method comprises the steps that a server sends a user value of a user terminal to a grade setting module, the user grade of the user terminal is set through the grade setting module, effective connection time of a power supply node is stored in the server, the connection time when the user terminal is connected with the power supply node in a preset range every time is compared with the effective connection time, the connection frequency when the connection time exceeds the effective connection time is recorded as effective connection, the number of the effective connection frequency is counted to obtain the number of the effective connection frequency YLCU of the user terminal and the power supply node in the preset range, the number of the effective connection frequency YLCU is compared with the number of the connection frequency LCU to obtain the effective connection rate YLnu of the user terminal and the power supply node in the preset range, and the formula is used for calculating the effective connection frequency of the user terminal and the power supply node in the preset range
Calculating to obtain a grade value DJu of the user terminal, wherein if DJu is greater than X1, the service grade of the user terminal is low demand, if X1 is greater than DJu and is equal to or less than X2, the service grade of the user terminal is medium demand, if X2 is equal to or less than DJu, the service grade of the user terminal is high demand, and the grade setting module feeds the service grade of the user terminal back to the server;
the server sends the server grade of the user terminal to a server setting module, and the service setting module generates power supply service information according to the power supply requirement information of the power utilization node and the corresponding server grade; the power supply requirement information is input in advance according to a user and generated according to historical information, for the user, the corresponding power supply requirement can be configured according to the power supply service information to obtain the corresponding power supply service, for the rear-end data acquisition, the actual power consumption data can be generated according to the power supply requirement information and the server level, and the power supply service information can be used as a basis for dividing a single user terminal into a plurality of virtual terminals.
The terminal simulation module generates a virtual terminal according to each power utilization node, collects real-time power utilization information of the power utilization nodes as power utilization information of the virtual terminals, configures virtual weights for each virtual terminal, and the sum of the virtual weights of the power utilization nodes of the same user terminal is 1; the terminal simulation module is used for generating virtual terminals, the virtual terminals take the user terminals as mapping, each virtual terminal can be configured with a weight value, splitting of a single user identity can be completed, and efficient statistics of ECI data is completed. The virtual weight can be determined according to data such as electricity demand variable quantity and electricity consumption, and the larger the electricity demand variable quantity and the electricity consumption, the higher the virtual weight of the node is.
The virtual marking module is configured with a marking index strategy, the marking index strategy selects the industry data with the highest matching degree from a preset industry marking database according to the power supply service information, and the industry data is used as the mark of the virtual terminal; the mark index strategy comprises a screening step and a calculating step, wherein the screening step comprises the step of generating a screening group from qualified industry data in the industry mark database according to power supply service information, the calculating step obtains key words in user information, and the matching degree of each key word and each industry data in the screening group is calculated. The invention constructs the industry keywords and the industry data for matching association, so that the matching degree of each industry can be calculated through the industry keywords, a data model constructed by the keywords is not repeated, and the matching degree can be obtained through frequent training of network information keyword association, and the industry mark database determines the industry of a single user according to power supply service information (actual measurement result) and user information (input result), so that the method is more accurate.
And the ECI analysis module monitors the power utilization information of each virtual terminal and generates ECI analysis data according to the corresponding marks. The specific ECI analysis is not repeated, but the invention aims to provide ECI analysis data based on virtual terminals, classify marks of the virtual terminals, analyze the electricity utilization information of the virtual terminals to obtain more accurate electricity consumption data, and obtain the number of the virtual terminals as corresponding virtual weight, so that more accurate analysis results can be obtained.
Meanwhile, the data acquisition module also acquires the use information of the power supply nodes in the preset range of the user terminal and sends the use information to the server, the server sends the use information to the layout optimization module, the power supply nodes in the preset range of the user terminal are optimally distributed through the layout optimization module, the power supply nodes in the preset range of the user terminal are marked as ui, the effective connection rate YLVui of the power supply nodes in the preset range of the user terminal is acquired according to the method, meanwhile, the fault times GCui of the power supply nodes in the preset range of the user terminal are acquired, and the formula is used for calculating the fault times of the power supply nodes in the preset range of the user terminal
Calculating to obtain an optimized value Yu of a power supply node within a preset range of a user terminal, obtaining an optimized interval stored in a server, obtaining an optimized interval in which the power supply node is positioned within the preset range of the user terminal according to the optimized value, wherein different optimized intervals correspond to user terminals with different service levels, a first optimized interval corresponds to a user terminal with low demand, a second optimized interval corresponds to a user terminal with medium demand, and a third optimized interval corresponds to a user terminal with high demand, generating a layout optimization signal if the current service level of the power supply node within the preset range of the user terminal is lower than the service level of the user terminal corresponding to the optimized interval, generating a layout optimization signal if the current service level of the power supply node within the preset range of the user terminal is higher than the service level of the user terminal corresponding to the optimized interval or if the current service level of the power supply node within the preset range of the user terminal is the same as the service level of the user terminal corresponding to the optimized interval, and generating a normal layout signal, feeding back the optimized layout signal or the normal layout signal to the server by the layout optimization module, modifying the power supply nodes in the preset range of the user terminal if the server receives the optimized layout signal, and performing no operation if the server receives the optimized layout signal so as to service the user through the management of the power supply nodes.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula of the latest real situation obtained by collecting a large amount of data and performing software simulation, the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, the weight coefficient and the scale coefficient are specific numerical values obtained by quantizing each parameter, and the subsequent comparison is convenient.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (10)
1. A user power consumption information management system based on ECI is characterized by comprising a power supply node, a data acquisition module, a data analysis module, a grade setting module, a service setting module, a terminal simulation module, a virtual marking module, an ECI analysis module, a user terminal and a server;
the user terminal comprises a registration login unit and an identity authentication unit, wherein the registration login unit is used for registering a login system after a user inputs user information and sending the user information to the server for storage; the identity authentication unit is used for identifying the logged-in user, logging in the system after the user identity authentication is passed and selecting a corresponding power supply node;
the data acquisition module is used for analyzing the user terminal according to the user information to obtain a plurality of power utilization nodes, acquiring power utilization information of each power utilization node and sending the power utilization information to the server, the server sends the power utilization information to the data analysis module, the data analysis module is used for analyzing the power utilization information of the user, analyzing to obtain a user value YHu of the user terminal and feeding the user value YHu back to the server, and the server sends the user value of the user terminal to the grade setting module;
the level setting module is used for setting the user level of the user terminal to obtain the service level of the user terminal and feeding the service level back to the server, the server sends the server level of the user terminal to the server setting module, and the service setting module generates power supply service information according to the power supply requirement information of the power utilization node and the corresponding server level;
the terminal simulation module generates a virtual terminal according to each power utilization node, collects real-time power utilization information of the power utilization nodes as power utilization information of the virtual terminals, configures virtual weights for each virtual terminal, and the sum of the virtual weights of the power utilization nodes of the same user terminal is 1;
the virtual marking module is configured with a marking index strategy, the marking index strategy selects the industry data with the highest matching degree from a preset industry marking database according to the power supply service information, and the industry data is used as the mark of the virtual terminal;
and the ECI analysis module monitors the power utilization information of each virtual terminal and generates ECI analysis data according to the corresponding marks.
2. The ECI-based customer electricity information management system according to claim 1, wherein the customer information comprises the industry, the extent of operation, the scale, the number of electricity utilization nodes of the customer;
the electricity consumption information comprises the electricity consumption starting time, the electricity consumption duration and the electricity consumption times of the user.
3. The ECI-based user electricity consumption information management system according to claim 2, wherein the analysis process of the data analysis module is as follows:
the method comprises the following steps: marking the users as u, u is 1, 2, … …, z, and z is a positive integer; acquiring a plurality of power supply nodes within a preset range according to the geographical position of the user terminal;
step two: acquiring the connection times LCu of the user terminal and the power supply nodes in the preset range and the connection time length of each connection, and summing the connection time lengths of each connection to obtain the total connection time length ZTu of the user terminal and the power supply nodes in the preset range;
step three: dividing the total connection duration by the connection times to obtain the equal connection time JLTu of the user terminal and the power supply node in the preset range;
step four: acquiring the electricity utilization starting time when the user terminal is connected with the power supply node in the preset range every time, calculating the difference value of the electricity utilization starting time of adjacent connection times to obtain the electricity utilization interval time length, adding the electricity utilization interval time lengths, summing and averaging to obtain the average electricity utilization interval time JJTu of the user terminal and the power supply node in the preset range;
step five: using formulas
Calculating to obtain a user value YHu of the user terminal; in the formula, a1 and a2 are both weight coefficients with fixed values, and the values of a1 and a2 are both larger than zero.
4. The ECI-based user electricity consumption information management system according to claim 3, wherein the setting process of the level setting module is as follows:
step S1: the method comprises the steps that effective connection time of a power supply node is stored in a server, the connection time of each connection of a user terminal and the power supply node in a preset range is compared with the effective connection time, the connection times of the connection time exceeding the effective connection time are recorded as effective connection, and the effective connection times YLCU of the user terminal and the power supply node in the preset range are obtained by counting the effective connection times;
step S2: the effective connection times YLCU are compared with the connection times LCu to obtain the effective connection rate YLUV of the user terminal and the power supply node in the preset range;
step S3: by the formula
Calculating to obtain a grade value DJu of the user terminal; in the formula, alpha is a positive integer with a fixed numerical value;
step S4: if DJu is less than X1, the service level of the user terminal is low demand;
step S5: if the X1 is more than DJu and less than or equal to X2, the service level of the user terminal is medium demand;
step S6: if the X2 is less than or equal to DJu, the service level of the user terminal is in high demand; wherein X1 and X2 are both level thresholds, and X1 < X2.
5. The ECI based subscriber power information management system according to claim 4, wherein said power service information comprises power supply amount, power supply threshold, power supply quality.
6. The ECI-based user electricity utilization information management system according to claim 1, wherein the mark index strategy comprises a screening step and a calculating step, the screening step comprises the steps of generating a screening group from qualified industry data in the industry mark database according to power supply service information, the calculating step obtains keywords in the user information, and the matching degree of each keyword and each industry data in the screening group is calculated.
7. The ECI-based user electricity utilization information management system according to claim 1, wherein the system further comprises a layout optimization module, said data acquisition module is further configured to acquire usage information of power supply nodes within a preset range of the user terminal, and send the usage information to the server; the server sends the use information to a layout optimization module, the layout optimization module is used for optimizing the layout of the power supply nodes in a preset range of the user terminal, and a layout optimization signal or a layout normal signal generated by work is fed back to the server;
if the server receives the layout optimization signal, rectifying and modifying the power supply nodes in the preset range of the user terminal;
and if the server receives the layout optimization normal signal, no operation is performed.
8. The ECI based customer electricity information management system according to claim 7, wherein the usage information comprises power usage number and failure number of the power supply node.
9. The ECI-based user electricity consumption information management system according to claim 8, wherein said layout optimization module is further configured to:
step SS 1: marking power supply nodes in a preset range of the user terminal as ui, wherein i is 1, 2, … …, x and x are positive integers, and i represents the number of the power supply nodes;
step SS 2: the method comprises the steps of obtaining the effective connection rate YLVui of a power supply node in a preset range of a user terminal, obtaining the failure times of the power supply node in the preset range of the user terminal, and marking the failure times as GCui;
step SS 3: by the formula
Calculating to obtain an optimized value Yu of the power supply node in a preset range of the user terminal; in the formula, beta is an error compensation coefficient of a fixed numerical value, and the value of beta is greater than zero;
step SS 4: obtaining an optimization interval stored in a server, and obtaining the optimization interval where a power supply node is located in a preset range of a user terminal according to an optimization value;
step SS 5: different optimization intervals correspond to user terminals with different service levels, a first optimization interval corresponds to a user terminal with low demand, a second optimization interval corresponds to a user terminal with medium demand, and a third optimization interval corresponds to a user terminal with high demand;
step SS 6: if the current service level of the power supply node in the preset range of the user terminal is lower than the service level of the user terminal corresponding to the optimization interval, generating a layout optimization signal;
if the current service level of the power supply node in the preset range of the user terminal is higher than the service level of the user terminal corresponding to the optimization interval, generating a normal layout signal;
and if the current service level of the power supply node in the preset range of the user terminal is the same as the service level of the user terminal corresponding to the optimization interval, generating a normal layout signal.
10. The ECI-based customer electricity information management system according to claim 9, wherein the optimization intervals comprise a first optimization interval, a second optimization interval and a third optimization interval, an upper limit value of the first optimization interval is smaller than a lower limit value of the second optimization interval, and an upper limit value of the second optimization interval is smaller than a lower limit value of the third optimization interval.
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