CN116433110A - Marketing gridding construction method - Google Patents
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Abstract
The invention discloses a marketing gridding construction method, which belongs to the technical field of urban electric power service, and comprises the following steps: step S1: obtaining the range of a marketing area, and setting a station area distribution diagram in the marketing area; step S2: generating a corresponding grid marketing diagram based on the station area distribution diagram; step S3: acquiring power worksheets to be processed in real time, and distributing each power worksheet to be processed to a corresponding grid manager; step S4: carrying out real-time processing value evaluation on the power worksheets in the grid manager client to obtain processing values of the power worksheets, sequencing the power worksheets according to the sequence of the processing values from high to low, marking the power worksheets with the processing values higher than a threshold value X1, and guiding groups to process the power worksheets by the grid manager; the grids are comprehensively evaluated by presetting evaluation indexes of the grids, so that enterprises are helped to know service conditions of the grids in real time, service levels of the grids are improved conveniently, and manager of the grids is urged to improve the service levels.
Description
Technical Field
The invention belongs to the technical field of urban power service, and particularly relates to a marketing gridding construction method.
Background
With the proposal of the concept of smart cities, how to better construct modern cities, residents in the service cities are problems to be solved, especially with the massive application of various intelligent and automatic equipment, the demand of people for electricity is more and more vigorous, but the electricity service enjoyed by users in the current cities is not ideal, the contradiction between the current urban electricity service capability and the customer demand is prominent, and with the formal issuing of new electricity change schemes, a power generation plan which is capable of releasing newly added electricity markets, operating electricity prices outside transmission and distribution and public welfare regulation is proposed,
enterprises face more complete, direct and drastic competing challenges, the 'discount yield' is about to become a new normal state, the factors of the enterprise are more complex and changeable, and the uncertainty is greatly increased. Therefore, in order to gain market in the future and in the fierce market, enterprises need to better serve clients, solve the outstanding contradiction between the current urban power service capability and the client demands, promote the power supply service to enter communities and get close to the clients; based on the method, the invention provides a marketing meshing construction method.
Disclosure of Invention
In order to solve the problems of the scheme, the invention provides a marketing meshing construction method.
The aim of the invention can be achieved by the following technical scheme:
a marketing gridding construction method comprises the following steps:
step S1: acquiring the range of a marketing area, and setting a station area in the marketing area;
step S2: generating a corresponding grid marketing diagram based on the station area distribution diagram;
further, the method for generating the grid marketing graph comprises the following steps:
marking each area in the area distribution diagram as a unit area, and setting unit characteristic data corresponding to each unit area according to historical worksheet data corresponding to each unit area; marking the cell characteristic data correspondingly at each station area position in the station area distribution diagram, and marking the current station area distribution diagram as a cell characteristic diagram;
setting management limiting conditions corresponding to grid managers, merging the unit areas according to the management limiting conditions to obtain a plurality of grids, associating one grid manager for each grid, and carrying out corresponding processing on the unit feature images according to the unit areas corresponding to the grids and the grid managers to obtain a grid marketing image.
Further, the method for merging the unit areas according to the management limiting condition comprises the following steps:
selecting an initial area, regarding a unit area connected with the initial area as a to-be-selected area, calculating a corresponding priority value according to unit characteristic data corresponding to each to-be-selected unit, and selecting the to-be-selected area with the highest priority value for merging to obtain a merging area;
auditing the combined area through management limiting conditions;
if the management limit condition is exceeded, canceling the merging;
if the management limit condition is not exceeded, the next round of evaluation is performed until the management limit condition is exceeded, and the current merging area is marked as a grid area.
Further, the method for calculating the corresponding priority value according to the unit characteristic data corresponding to each unit to be selected comprises the following steps:
analyzing the unit characteristic data of each unit to be selected based on the current combined region through a preset characteristic analysis model to obtain a corresponding unit advantage value, a statistical correction coefficient and a distribution adjustment value;
and inputting the unit dominance value, the statistical correction coefficient and the distribution adjustment value into a priority formula to calculate a corresponding priority value.
Further, the priority formula is: qb=b1×c×dy+b2×fz;
wherein: QB is a priority value; DY, c and FZ are respectively a unit dominance value, a statistical correction coefficient and a distribution adjustment value; b1 and b2 are proportionality coefficients, and the value range is 0< b1 less than or equal to 1, and 0< b2 less than or equal to 1.
Step S3: acquiring power worksheets to be processed in real time, and distributing each power worksheet to be processed to a corresponding grid manager;
further, the method for distributing the power worksheets to be processed comprises the following steps:
and positioning the corresponding grids in the grid marketing graph according to the positions of the to-be-processed power worksheets, and automatically distributing the to-be-processed power worksheets to grid manager clients of the corresponding grid managers.
Step S4: and carrying out real-time processing value evaluation on the power worksheets in the grid manager client to obtain processing values of the power worksheets, sequencing the power worksheets according to the sequence of the processing values from high to low, marking the power worksheets with the processing values higher than the threshold value X1, and guiding groups to process the power worksheets by the grid manager.
Further, the method for evaluating the processing value of the power worksheet comprises the following steps:
acquiring the current time length of the power worksheet from worksheet generation, identifying the content of the power worksheet, evaluating the corresponding emergency value according to the content of the power worksheet, marking the acquired emergency value and the time length as JZ and SK respectively, and calculating the corresponding processing value YH according to the formula YH=b3xJZ+b3xexp (beta x SK), wherein beta is a time conversion coefficient, b3 and b4 are both proportionality coefficients, and the value range is 0< b1 less than or equal to 1,0< b2 less than or equal to 1.
Further, the method further comprises the step S5: and comprehensively evaluating the services of each grid, obtaining comprehensive evaluation values corresponding to each grid, and marking the obtained comprehensive evaluation values on the corresponding grids in the grid marketing graph for dynamic display.
Further, the method for comprehensively evaluating the service of each grid comprises the following steps:
counting service data corresponding to each grid in real time, carrying out real-time analysis on the service data through a preset index analysis model to obtain index values of each evaluation index of the corresponding grid, and marking the obtained index values as ZBi, wherein i=1, 2, … …, n and n are positive integers; according to the comprehensive evaluation formula
And calculating a corresponding comprehensive evaluation value PC, wherein alpha i is a weight coefficient corresponding to each evaluation index.
Further, the evaluation index or the weight coefficient can be different for each grid.
Compared with the prior art, the invention has the beneficial effects that:
by combining all the areas into grids and carrying out grid management, the management is sinking, the fine management is carried out, the responsibility of a grid manager is carried out, the service capacity in each grid is conveniently improved, the grid manager is promoted to process each power work order timely and efficiently, and the service level is promoted to be rapidly improved; the grid manager is helped to know the requirement processing condition of each power work order in real time by evaluating the real-time processing value of the power work order in the grid manager client, and the grid manager is assisted to process the power work order under limited resources, so that the service level is improved; the grids are comprehensively evaluated by presetting evaluation indexes of the grids, so that enterprises are helped to know service conditions of the grids in real time, service levels of the grids are improved conveniently, and manager of the grids is urged to improve the service levels.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a flow chart of the grid marketing diagram generation of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
As shown in fig. 1 to 2, a marketing meshing construction method includes:
obtaining the range of a marketing area, identifying the position distribution of each platform area in the marketing area, and setting a platform area distribution diagram in the corresponding marketing area, wherein the platform area is a drawing showing the distribution condition of each platform area, and the platform area is a platform area definition in the electric power field; taking a platform area as a unit area, acquiring historical work order data corresponding to each unit area, analyzing the data such as the number of work orders, the task difficulty level, the benefit condition and the like of the platform area by utilizing the historical work order data of each unit area, and summarizing the data into corresponding unit characteristic data for later relatively balanced grid division; extracting unit characteristic data of each unit area, and presetting a corresponding unit characteristic data template to indicate which data item data need to be counted so as to integrate the data item data into unit characteristic data; and marking the obtained cell characteristic data correspondingly at each zone position in the zone distribution diagram, and marking the current zone distribution diagram as a cell characteristic diagram.
And setting management limiting conditions corresponding to the grid manager, such as the upper limit of the number of the platform areas, the upper limit of the number of the work orders and the like, and specifically setting according to actual conditions.
And merging the unit areas according to the management limiting conditions to obtain a plurality of grids, associating a grid manager with each grid, and correspondingly processing the unit feature map according to the unit areas corresponding to the grids and the grid manager to obtain a grid marketing map.
Through merging each area into grids and carrying out gridding management, the management is submerged, the fine management is carried out, the responsibility of a grid manager is carried out, the service capacity in each grid is conveniently improved, the grid manager is enabled to process each power work order timely and efficiently, and the service level is enabled to be rapidly improved.
The grids mentioned in the prior art are not the same as the grids combined by analysis processing in the invention, as the grids are generally and directly used as the grids in the areas surrounded by cells, communities and roads in the prior art, because the purposes of the grids are not the same as the functions of the grids in the invention; the intelligent grid management method is used for carrying out intelligent generation of grids for block management and realizing responsibility to people in order to match with grid managers; if the existing grids are directly used, larger benefits, great deviations of tasks and the like of different grids are caused, and the grids are numerous and are not beneficial to management.
The method for merging the unit areas according to the management limiting conditions comprises the following steps:
optionally, one unit area is taken as an initial area, and is generally selected from the boundary, so that the subsequent combination is facilitated, the combination is more reasonable, and the initial area can be manually designated; taking the unit area connected with the initial area as a to-be-selected area, calculating a corresponding priority value according to the unit characteristic data corresponding to each to-be-selected unit, selecting the to-be-selected area with the highest priority value for merging, obtaining a merging area, checking the merging area through a management limiting condition, and canceling the merging if the management limiting condition is exceeded; if the management limit condition is not exceeded, the next round of evaluation is performed until the management limit condition is exceeded, and the current merging area is marked as a grid area.
The method for calculating the corresponding priority value according to the unit characteristic data corresponding to each unit to be selected comprises the following steps:
establishing a corresponding feature analysis model based on a CNN (computer numerical network) or a DNN (computer numerical network), establishing a corresponding training set by a manual mode for training, analyzing the unit feature data of each unit to be selected based on a current combined area through the feature analysis model after successful training to obtain a corresponding unit advantage value, a statistical correction coefficient and a distribution adjustment value, wherein the unit advantage value is set according to the unit feature data, is unchanged, and is set according to the corresponding advantages and disadvantages of the unit feature data, such as a plurality of tasks and a work order difficulty level; the statistical correction coefficient is set according to the proportion of the dominant grades of each grade of units distributed by a grid manager and the proportion of the units to be selected at the grade in the combined area, and the distribution adjustment value is set according to the distribution of other peripheral unit areas; because the unit dominance values are not changed along with the merging process, the unit dominance values corresponding to all the unit areas can be directly analyzed, in order to achieve the distribution balance, the proportion ranges of the areas with different levels in a grid are preset, each level corresponds to a unit dominance value interval, corresponding distribution adjustment coefficients are set according to the proportion of the units to be selected in the level in the merged area, when the proportion is larger, the priority is reduced, namely the distribution adjustment coefficients are reduced, and otherwise, the distribution adjustment coefficients are increased; similarly, according to the corresponding duty ratio and the corresponding level of other peripheral unit areas, the preset specific gravity is considered to be complemented as much as possible, if the unit areas of the subsequent level are fewer, the priority of the area to be selected of the level needs to be increased, and the distribution adjustment value is higher.
And respectively marking the obtained unit dominance values, the statistical correction coefficients and the distribution adjustment values as DY, c and FZ, and calculating corresponding priority values according to a formula QB=b1×c×DY+b2×FZ, wherein b1 and b2 are both proportional coefficients, and the value range is 0< b1 less than or equal to 1, and 0< b2 less than or equal to 1.
Acquiring a new electric power work order uploaded in the electric power work order system in real time, positioning a corresponding grid according to the corresponding position of the electric power work order, and automatically distributing the electric power work order to a corresponding grid manager client; the grid manager client is a client which is set by the prior art and used for the use and management of the grid manager; the grid manager client displays the correspondingly distributed power worksheets;
carrying out real-time processing value evaluation on the power worksheets in the grid manager clients to obtain processing values of the power worksheets, sequencing the power worksheets according to the sequence of the processing values from high to low, marking the power worksheets with the processing values higher than a threshold value X1, and needing urgent processing or reaching a processing limit value;
the grid manager is helped to know the requirement processing condition of each power work order in real time by evaluating the real-time processing value of the power work order in the grid manager client, and the grid manager is assisted to process the power work order under limited resources, so that the service level is improved.
The method for calculating the processing value of the power worksheet comprises the following steps:
acquiring the current time length of the power worksheet from the worksheet generation, identifying the content of the power worksheet, evaluating a corresponding emergency value according to the content of the power worksheet, namely setting the corresponding emergency value according to the urgency degree of the worksheet, specifically building a corresponding event analysis model based on a CNN network or a DNN network, building a corresponding training set in a manual mode for training, analyzing the content of each power worksheet through the event analysis model after the training is successful to obtain the corresponding emergency value, marking the obtained emergency value and the time length as JZ and SK respectively, calculating a corresponding processing value according to YH=b3×JZ+b3×exp (beta×SK), wherein beta is a time conversion coefficient for unit conversion, and performing discussion setting by an expert group; b3 and b4 are proportionality coefficients, and the value range is 0< b1 less than or equal to 1, and 0< b2 less than or equal to 1.
The service data corresponding to each grid are counted in real time, the service data comprise electricity charge recovery rate statistics, electronic meter reading time rate statistics, electricity purchasing and electricity selling detail statistics, line loss statistics implementation modes, customer service index statistics, work order service statistics and the like, each data item contained in the service data is specifically set according to formulated evaluation indexes, corresponding data acquisition is carried out according to the corresponding data items, the service data of each grid are obtained, the service level, the capacity and the like of each grid are comprehensively evaluated through the obtained service data, enterprises are helped to know the service condition of each grid in real time, the service level of each grid is conveniently improved, namely the evaluation indexes of each grid and the weight coefficient of each evaluation index are preset according to actual demands in a manual mode, the evaluation indexes or the weight coefficients of each grid can be the same or different, and the evaluation indexes or the weight coefficients of different grids can be different according to actual conditions; marking the evaluation index as i, wherein i=1, 2, … …, n is a positive integer; the weight coefficient corresponding to each evaluation index is marked as alpha i; evaluating the obtained service data from each evaluation index angle to obtain index values corresponding to each evaluation index, and establishing corresponding index analysis based on the CNN network or the DNN networkThe model is trained by establishing a corresponding training set in a manual mode, service data is analyzed through an index analysis model after the training is successful, index values corresponding to all evaluation indexes are obtained, the obtained index values are marked as ZBi, and the service data are subjected to comprehensive evaluation according to a comprehensive evaluation formula
And calculating a corresponding comprehensive evaluation value PC, and marking the obtained comprehensive evaluation value on a corresponding grid in the grid marketing graph for dynamic display.
The grids are comprehensively evaluated by presetting evaluation indexes of the grids, so that enterprises are helped to know service conditions of the grids in real time, service levels of the grids are improved conveniently, and manager of the grids is urged to improve the service levels.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (8)
1. A marketing meshing construction method, the method comprising:
step S1: acquiring the range of a marketing area, and setting a station area in the marketing area;
step S2: generating a corresponding grid marketing diagram based on the station area distribution diagram;
marking each area in the area distribution diagram as a unit area, and setting unit characteristic data corresponding to each unit area according to historical work order data corresponding to each unit area, wherein the unit characteristic data comprises work order quantity, task difficulty and benefit data corresponding to the corresponding unit area; marking the cell characteristic data correspondingly at each station area position in the station area distribution diagram, and marking the current station area distribution diagram as a cell characteristic diagram;
setting corresponding management limiting conditions according to the actual management capacity of the grid manager, wherein the management limiting conditions are used for limiting the merging upper limit of the unit area; merging the unit areas according to the management limiting conditions to obtain a plurality of grids, associating a grid manager for each grid, and carrying out corresponding processing on the unit feature images according to the unit areas corresponding to the grids and the grid manager to obtain a grid marketing image;
step S3: acquiring power worksheets to be processed in real time, and distributing each power worksheet to be processed to a corresponding grid manager;
step S4: and evaluating the power worksheets in the grid manager client in real time to obtain processing values of the power worksheets, sequencing the power worksheets according to the sequence of the processing values from high to low, marking the power worksheets with the processing values higher than the threshold value X1, and guiding groups to process the power worksheets by the grid manager.
2. The marketing meshing construction method according to claim 1, wherein the method of merging the cell areas according to the management restriction condition comprises:
selecting one unit area as an initial area, regarding the unit area connected with the initial area as a candidate area, calculating a priority value corresponding to each candidate unit, wherein the priority value represents the combination sequence of each current candidate unit, and selecting the candidate area with the highest priority value for combination to obtain a combination area;
auditing the combined area through management limiting conditions;
if the management limit condition is exceeded, canceling the merging;
if the management limit condition is not exceeded, the next round of evaluation is performed until the management limit condition is exceeded, and the current merging area is marked as a grid area.
3. The marketing meshing construction method according to claim 2, wherein the method of calculating the corresponding priority value from the cell characteristic data corresponding to each of the candidate cells comprises:
analyzing the unit characteristic data of each unit to be selected based on the current combined region through a preset characteristic analysis model to obtain a corresponding unit advantage value, a statistical correction coefficient and a distribution adjustment value;
inputting the unit dominance value, the statistical correction coefficient, and the distribution adjustment value into a priority formula qb=b1×c×dy+b2×fz to calculate a corresponding priority value, wherein: QB is a priority value; DY, c and FZ are respectively a unit dominance value, a statistical correction coefficient and a distribution adjustment value; b1 and b2 are proportionality coefficients, and the value range is 0< b1 less than or equal to 1, and 0< b2 less than or equal to 1.
4. The marketing meshing construction method according to claim 1, wherein the method for distributing the power worksheets to be processed comprises:
and positioning the corresponding grids in the grid marketing graph according to the positions of the to-be-processed power worksheets, and automatically distributing the to-be-processed power worksheets to grid manager clients of the corresponding grid managers.
5. The marketing meshing construction method of claim 1, wherein the method of evaluating the process value of the power bill comprises:
acquiring the corresponding time length of the electric power work order in real time, identifying the content of the electric power work order, evaluating the corresponding emergency value according to the content of the electric power work order, respectively marking the acquired emergency value and the time length as JZ and SK, and calculating the corresponding processing value YH according to the formula YH=b3×JZ+b3×exp (beta×SK), wherein beta is a time conversion coefficient for carrying out time unit conversion, b3 and b4 are proportionality coefficients, and the value range is 0< b1 less than or equal to 1,0< b2 less than or equal to 1.
6. The marketing meshing construction method according to claim 1, further comprising step S5: and comprehensively evaluating the services of each grid, obtaining comprehensive evaluation values corresponding to each grid, and marking the obtained comprehensive evaluation values on the corresponding grids in the grid marketing graph for dynamic display.
7. The marketing meshing construction method of claim 6, wherein the method of comprehensively evaluating services of each grid comprises:
counting service data corresponding to each grid in real time, carrying out real-time analysis on the service data through a preset index analysis model to obtain index values of each evaluation index of the corresponding grid, and marking the obtained index values as ZBi, wherein i=1, 2, … …, n and n are positive integers; according to the comprehensive evaluation formula
And calculating a corresponding comprehensive evaluation value PC, wherein alpha i is a weight coefficient corresponding to each evaluation index.
8. The marketing meshing construction method of claim 7, wherein the evaluation index or weight coefficient of each mesh may be different.
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