Power grid marketing intelligent management system based on multi-dimensional data analysis

Abstract

The invention relates to the technical field of data analysis, in particular to a power grid marketing intelligent management system based on multi-dimensional data analysis, which monitors the business state of a personal business end in real time through a business monitoring unit, and collects or screens the business state of the personal business end required by team business through a collecting and screening unit. The occurrence of business delay or business congestion caused by the business when the team business end selects the personal business end is avoided; the personal service terminal is analyzed through the return unit to obtain a return analysis value, the team service is evaluated through the team service evaluation unit to obtain the team service completion degree, the team service capability coefficient of the personal service terminal is calculated based on the team service completion degree, and comprehensive analysis is performed in combination with the service satisfaction degree of the personal service terminal. The system service is published based on the multi-dimensional analysis value, so that the return rate of the system service is greatly avoided, and the service quality of the system service is improved at the same time.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to an intelligent management system for power grid marketing based on multidimensional data analysis. Background Art

[0002] Grid marketing is a business activity of power companies aimed at meeting electricity consumption needs. By operating power services of different business types, the company's goals can be achieved and users can be better served.

[0003] In the prior art, such as the patent document with publication number CN117611211A and name Intelligent Marketing Management System, the conventional scenarios in the intelligent marketing system are monitored and analyzed through the intelligent analysis terminal, and the business line corresponding to any business object is obtained, and the data is analyzed with the help of the analytical model. The analytical model is mainly based on the time point of each performance point in the business line, the time interval between adjacent performance points, and the data distribution of the time interval to filter the time interval in the business line to obtain the activity duration range; then all the deviant business objects are determined according to the span duration and the activity duration range, so that the application can monitor the business of all users with the help of the constructed system, and timely remind abnormal customers. However, in the above patent document, management can only be carried out based on the performance and related time data of the generated business, and the management effect is single. It is impossible to manage the business from the perspective of business release. When transferring the resignation business, when the resignation business is released to individuals as a new business, it may cause congestion of personal business due to the ongoing business of the individual, and it may also cause poor performance of the new business due to improper release management. The management function needs to be improved. Summary of the invention

[0004] The purpose of the present invention is to solve the problems in the background technology and to propose an intelligent management system for power grid marketing based on multi-dimensional data analysis.

[0005] The present invention adopts the following technical solutions: a power grid marketing intelligent management system based on multi-dimensional data analysis, including a business editing module, an information entry module, a business publishing module, a business management module and a business optimization module;

[0006] The business editing module is used to edit system business. System business includes business type, business attributes and business specific information. Business attributes are divided into personal business and team business.

[0007] An information entry module is used to obtain a number of preferred business type labels selected by employees, and to establish a preferred business set based on the number of preferred type labels;

[0008] The business publishing module includes a personal business terminal and a team business terminal. Personal business and team business are published through the personal business terminal and the team business terminal respectively. The team business terminal determines the personal business terminal that executes the team business through recruitment or screening. The specific information of personal business includes personal business type, personal business target duration and personal target performance.

[0009] A business management module, including a storage unit and a business monitoring unit;

[0010] The storage unit is connected to the personal service end, and is used to store the service type, actual service duration and actual service performance of the personal service, and integrate them into a personal service data packet;

[0011] The service monitoring unit is used to connect to the service publishing module and monitor the service status of the system service. The service status is divided into service status and idle status.

[0012] The business optimization module is used to optimize the publishing logic of system business and manage the publishing methods of personal business and team business.

[0013] As a further solution of the present invention, the team business end is connected to a business reminder unit and a recruitment screening unit;

[0014] The business reminder unit is used to send team business reminders to individual business terminals whose business status is idle and display them. The specific information displayed by the team business includes several team business requirements listed by business type, team business target duration, display duration and bidding information; the team business requirements include the number of individual business terminals and the team target performance weight of the individual business terminals;

[0015] The collection and screening unit is used to obtain the bidding information collected by the business reminder unit, and determine the range of pending business terminals according to the bidding information after the business reminder unit has finished displaying it, count the number of individual business terminals in the range of pending business terminals and use it as the pending number, count the number of individual business terminals required for the team business to obtain the total number of individual business terminals, use the total number of individual business terminals as the required number, and judge whether the pending number reaches the required number;

[0016] If the number of raised business ends does not reach the required number, the personal business ends within the scope of pending business ends will be prioritized, and the personal business ends required for the remaining required number will be determined by the method of raising personal business ends; if the number of personal business ends raised exceeds the required number, the personal business ends within the scope of pending business ends will be determined by screening personal business ends.

[0017] As a further solution of the present invention, the personal service end is also connected to a return unit, which is used to return personal services or selected team services. The return unit is provided with a number of return tags. When the personal service end performs a return operation, the return tag needs to be selected and the return reason needs to be marked;

[0018] Generate a return data packet based on the system service category, system service type, return label and return reason.

[0019] As a further solution of the present invention, the personal service end is also connected to a recording unit, and the recording unit is used to obtain all personal service data packets and all returned data packets;

[0020] Search all personal service data packets to see whether there is a personal service whose service type belongs to the preferred service set. If so, mark the corresponding personal service data packet as the first data packet; if not, do not mark it;

[0021] Search all returned data packets to see whether there is a personal service of the service type belonging to the preferred service set. If so, mark the corresponding returned data packet as the second data packet; if not, do not mark it;

[0022] Counting the number of first data packets and taking it as a first total number Z1, and counting the number of second data packets and taking it as a second total number Z2;

[0023] By regression analysis formula The return analysis value Tf of the personal service end is calculated, Bqj is the return label in the second data packet, kj is the return label quantization coefficient, j is the second data packet number, j∈[1, Z2].

[0024] As a further solution of the present invention, the team business end is further connected to a team business evaluation unit, which is used to evaluate the team business completion degree. The evaluation method of the team business completion degree is:

[0025] Mark several individual business ends determined by the team business as target business ends, monitor the performance of the target business ends and use them as the team's actual performance component, obtain the time required for the team's actual performance component to reach the team's target performance component, and use it as the individual completion time;

[0026] At the same time, the time spent on the target business end is monitored and used as personal actual time. The performance achieved when the personal actual time reaches the team's business target time is obtained and used as personal completed performance.

[0027] The complexity calculation formula The team's business completion degree O is calculated, x1 and x2 are complex factors, F(x1) and G(x2) are standard quantitative functions of complex factors x1 and x2 respectively; Gt is the team business target time, GSh is the individual completion time, h is the target business end number, h∈[1,n2], n2 is the total number of target business ends; GYh is the individual performance achieved at the target business end, and MBh is the team target performance component.

[0028] As a further solution of the present invention, the personal business end is also connected to a personal business evaluation unit, which is used to obtain the team business completion degree O and calculate the team business capability coefficient based on the team completion degree O.

[0029] As a further solution of the present invention, the team business end is further connected to an evaluation unit, and the evaluation unit is used to obtain the business satisfaction Ac of the target business end, and the business satisfaction Ac is obtained in the form of scoring the team business.

[0030] As a further solution of the present invention, the method for optimizing the publishing logic is:

[0031] The calculation or analysis results of multiple dimensions of the decision analysis unit, return unit, record unit, team business assessment unit, personal business assessment unit, evaluation unit and business preference set of the personal business end are comprehensively processed to obtain multi-dimensional analysis values, and the release method of the system business is optimized based on the multi-dimensional analysis values.

[0032] The advantages of the present invention are: the business status of the personal business terminal is monitored in real time by the business monitoring unit, and the business status of the personal business terminal required for the team business is collected or screened by the collection and screening unit, so that the publishing management of the team business is more reasonable and intelligent, and the business delay or business congestion caused by the business being carried out by the team business terminal when selecting the personal business terminal is avoided, so that the publishing of the team business to a certain process is more efficient; the personal business terminal is analyzed by the return unit to obtain a return analysis value, and the team business is evaluated by the team business evaluation unit to obtain the team business completion degree, and the team business capability coefficient of the personal business terminal is calculated based on the team business completion degree, and a comprehensive analysis is performed in combination with the business satisfaction of the personal business terminal to obtain a multi-dimensional analysis value, and the system business is released based on the multi-dimensional analysis value, which greatly avoids the return rate of the system business and improves the business quality of the system business. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a module flow chart of the present invention. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0035] Reference Figure 1 , an intelligent management system for power grid marketing based on multi-dimensional data analysis, including business editing module, information entry module, business publishing module, business management module and business optimization module;

[0036] The business editing module is used to edit system business. System business includes business type, business attributes and business specific information. Business attributes are divided into personal business and team business.

[0037] The information entry module is used to obtain a number of preferred business type labels selected by the employee, and establish a preferred business set according to the number of preferred type labels; obtaining the selected number of preferred business type labels can be realized through the front-end visual interface, marking the obtained business type labels as preferred business type labels and entering them into the database, which is a prior art and will not be repeated here; the preferred business type can be understood as the business type that the employee is proficient in or inclined to;

[0038] The business publishing module includes a personal business terminal and a team business terminal; personal business and team business are published through the personal business terminal and the team business terminal respectively; the team business terminal determines the personal business terminal that executes the team business by means of recruitment or screening; the specific information of personal business includes personal business type, personal business target duration and personal target performance; the business publishing module is connected to the database; there are several personal business terminals, and each employee is provided with a corresponding personal business terminal;

[0039] A business management module, including a storage unit and a business monitoring unit;

[0040] The storage unit is connected to the personal service end, and is used to store the service type, actual service duration and actual service performance of the personal service, and integrate them into a personal service data packet;

[0041] The business monitoring unit is used to connect to the business publishing module and monitor the business status of the system business. The business status is divided into business in progress and idle. The business management module is connected to the database. It should be noted that the business status of the system business is monitored by monitoring the logs of the database. When the relevant log data related to the start of the system business is generated, the system business is judged to have started, and the timestamp in the log is marked as the start time point, and the time from the start time point to the end of the business is counted; when no system business-related log is generated within the end time threshold, the system business is judged to have ended, and the start time point of the end time threshold is marked as the end time point on the timestamp, and the time from the start time point to the end time point is counted and used as the actual business duration; the end time threshold can be set to 1 hour;

[0042] The business optimization module is used to optimize the publishing logic of system business and manage the publishing methods of personal business and team business.

[0043] The team business end is connected to the business reminder unit and the recruitment screening unit;

[0044] The business reminder unit is used to send team business reminders to individual business terminals whose business status is idle and display them. The specific information displayed by the team business includes several team business requirements, team business target duration, display duration and bidding information listed by business type; the team business requirements include the number of individual business terminals and the team target performance weight of the individual business terminals; the bidding information includes joining and ignoring, and the individual business terminal can choose;

[0045] The collection and screening unit is used to obtain the bidding information collected by the business reminder unit, and determine the range of pending business terminals according to the bidding information after the business reminder unit has finished displaying it, count the number of individual business terminals in the range of pending business terminals and use it as the pending number, count the number of individual business terminals required for the team business to obtain the total number of individual business terminals, use the total number of individual business terminals as the required number, and judge whether the pending number reaches the required number;

[0046] If the number of raised items does not reach the required number, the individual business terminals in the pending business terminal range will be determined first, and the individual business terminals required for the remaining required number will be determined by raising individual business terminals; specifically, selecting Join means entering the pending business terminal range, and Ignore means not entering the pending business terminal range;

[0047] If the number of individual business terminals raised exceeds the required number, the individual business terminals within the range of pending business terminals will be determined by screening individual business terminals;

[0048] The method of raising personal business end is:

[0049] Obtain the personal business data packet through the storage unit, mark the team business type in the displayed team business as the target type, use the linear search algorithm to retrieve the number of personal business information containing the target type in the personal business data and use it as the target total number Mz, and use the personal business evaluation formula The personal business evaluation value P is calculated, where Mti is the personal business target duration, Sti is the personal business actual duration, which is obtained based on the statistics from the start of the business to the end of the business monitored by the business monitoring unit; Myi is the personal target performance, Syi is the personal actual performance, which is obtained based on the performance flow query of the power grid background; i is the personal business information number, i is a positive integer, i∈[1,n1], and n1 is the total number of personal business information;

[0050] It should be noted that, no matter whether the current business duration takes priority to reach the personal business target duration Mti, or the current performance takes priority to reach the personal target performance Myi, the current business duration and the current performance are marked as the personal actual business duration Sti and the personal actual performance Syi respectively;

[0051] The personal business evaluation value P is updated every time the personal business end completes a system business;

[0052] Sort the personal business terminals from large to small according to the personal business evaluation value P, and select the personal business terminals: the recruitment and screening unit traverses the business status of the personal business terminals in order, until the traversal result is idle, then marks the personal business terminal as a pending business terminal and sends a reminder to it through the business reminder unit. According to whether the personal business terminal bids, it is decided whether to include it in the pending business terminal range and update the pending quantity; continue to traverse the personal business orders until the pending quantity reaches the required quantity;

[0053] The method for screening personal business terminals is:

[0054] The bidding duration Xt of the individual business end is obtained, and the bidding enthusiasm J of the individual business end is calculated by the enthusiasm analysis model. The expression of the enthusiasm analysis model is:

[0055] Tz is the display time of the team business, Tb is the bidding time of the individual business end, which is obtained by counting the interval between sending the team business reminder and selecting the bid, and the interval is obtained by monitoring the database timestamp; the bidding enthusiasm J is accumulated and averaged after each bid, and the calculated result is assigned to the bidding enthusiasm J; the individual business ends in the range of pending business ends are sorted from large to small according to the bidding enthusiasm J, and the individual business ends are determined according to the sorting order;

[0056] The personal business end is also connected to a return unit, which is used to return personal business or selected team business. Several return tags are set in the return unit. When the personal business end performs a return operation, the return tag must be selected and the return reason must be marked;

[0057] Generate a return data packet based on the system business type, system business type, return tag and return reason; when the individual business end recruited performs a return operation, set its bidding information to be ignored; the system business type is individual business or team business; it should be noted that only one return tag can be selected;

[0058] The personal service end is also connected to a recording unit, which is used to obtain all personal service data packets and all returned data packets;

[0059] Search all personal service data packets to see whether there is a personal service whose service type belongs to the preferred service set. If so, mark the corresponding personal service data packet as the first data packet; if not, do not mark it;

[0060] Search all returned data packets to see whether there is a personal service of the service type belonging to the preferred service set. If so, mark the corresponding returned data packet as the second data packet; if not, do not mark it;

[0061] Counting the number of first data packets and taking it as a first total number Z1, and counting the number of second data packets and taking it as a second total number Z2;

[0062] By regression analysis formula The return analysis value Tf of the personal service end is calculated, Bqj is the return label in the second data packet, kj is the return label quantization coefficient, j is the second data packet number, j∈[1, Z2]; wherein the return analysis value Tf is updated after each return operation is performed on the personal service end.

[0063] The team business end is also connected to a team business evaluation unit, which is used to evaluate the team business completion. The evaluation method of the team business completion is:

[0064] Mark several individual business ends determined by the team business as target business ends, monitor the performance of the target business ends and use them as the team's actual performance component, obtain the time required for the team's actual performance component to reach the team's target performance component, and use it as the individual completion time;

[0065] At the same time, the time spent on the target business end is monitored and used as personal actual time. The performance achieved when the personal actual time reaches the team's business target time is obtained and used as personal completed performance.

[0066] The complexity calculation formula The team's business completion degree O is calculated; x1 and x2 are complex factors, F(x1) and G(x2) are standard quantitative functions of complex factors x1 and x2 respectively; where, Gt is the team business target time, GSh is the individual completion time, h is the target business end number, h∈[1,n2], n2 is the total number of target business ends; GYh is the individual performance completed at the target business end, and MBh is the team target performance component; it should be noted that the number of individual business ends required for team business is at least 5.

[0067] The personal business end is also connected to a personal business evaluation unit, which is used to obtain the team business completion degree O calculated by the team business evaluation unit, and calculate the completion degree O through the ability coefficient calculation formula The team business capability coefficient Q of the target business end is calculated.

[0068] The team business end is also connected to an evaluation unit, which is used to obtain the business satisfaction Ac of the target business end. The business satisfaction Ac is obtained in the form of scoring the team business; the business satisfaction Ac is composed of personal satisfaction A1 and team satisfaction A2, and is calculated by the formula Ac=α1×A1+α2×A2, where α1 and α2 are the quantitative coefficients of personal satisfaction A1 and team satisfaction A2, respectively.

[0069] The method to optimize the publishing logic is:

[0070] The calculation or analysis results of multiple dimensions of the decision analysis unit, return unit, record unit, team business assessment unit, personal business assessment unit, evaluation unit and business preference set of the personal business end are comprehensively processed to obtain multi-dimensional analysis values, and the release method of the system business is optimized based on the multi-dimensional analysis values.

[0071] The comprehensive treatment method is:

[0072] A coefficient expression model is established based on whether the service type of the system service belongs to the preferred service set of the personal service end. The expression of the coefficient expression model is:

[0073]

[0074] Through multi-dimensional analysis formula The multi-dimensional analysis value E of the individual business end is calculated. Before releasing the system business, the individual business ends are sorted from large to small according to the multi-dimensional analysis value E, and the system business is released to the individual business ends according to the priority of the sorting.

[0075] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. The intelligent management system for power grid marketing based on multi-dimensional data analysis is characterized by: It includes business editing module, information entry module, business publishing module, business management module and business optimization module; The business editing module is used to edit system business. System business includes business type, business attributes and business specific information. Business attributes are divided into personal business and team business. An information entry module is used to obtain a number of preferred business type labels selected by employees, and to establish a preferred business set based on the number of preferred type labels; The business publishing module includes a personal business terminal and a team business terminal. Personal business and team business are published through the personal business terminal and the team business terminal respectively. The team business terminal determines the personal business terminal that executes the team business through recruitment or screening. The specific information of personal business includes personal business type, personal business target duration and personal target performance. A business management module, including a storage unit and a business monitoring unit; The storage unit is connected to the personal service end, and is used to store the service type, actual service duration and actual service performance of the personal service, and integrate them into a personal service data packet; The service monitoring unit is used to connect to the service publishing module and monitor the service status of the system service. The service status is divided into service status and idle status. The business optimization module is used to optimize the publishing logic of system business and manage the publishing methods of personal business and team business.

2. The power grid marketing intelligent management system based on multidimensional data analysis according to claim 1 is characterized by: The team business end is connected to the business reminder unit and the recruitment screening unit; The business reminder unit is used to send team business reminders to individual business terminals whose business status is idle and display them. The specific information displayed by the team business includes several team business requirements listed by business type, team business target duration, display duration and bidding information; the team business requirements include the number of individual business terminals and the team target performance weight of the individual business terminals; The collection and screening unit is used to obtain the bidding information collected by the business reminder unit, and determine the range of pending business terminals according to the bidding information after the business reminder unit has finished displaying it, count the number of individual business terminals in the range of pending business terminals and use it as the pending number, count the number of individual business terminals required for the team business to obtain the total number of individual business terminals, use the total number of individual business terminals as the required number, and judge whether the pending number reaches the required number; If the number of raised business ends does not reach the required number, the personal business ends within the scope of pending business ends will be prioritized, and the personal business ends required for the remaining required number will be determined by the method of raising personal business ends; if the number of personal business ends raised exceeds the required number, the personal business ends within the scope of pending business ends will be determined by screening personal business ends.

3. The power grid marketing intelligent management system based on multidimensional data analysis according to claim 2 is characterized by: The personal business end is also connected to a return unit, which is used to return personal business or selected team business. Several return tags are set in the return unit. When the personal business end performs a return operation, the return tag must be selected and the return reason must be marked; Generate a return data packet based on the system service category, system service type, return label and return reason.

4. The power grid marketing intelligent management system based on multidimensional data analysis according to claim 3 is characterized by: The personal service end is also connected to a recording unit, which is used to obtain all personal service data packets and all returned data packets; Search all personal service data packets to see whether there is a personal service whose service type belongs to the preferred service set. If so, mark the corresponding personal service data packet as the first data packet; if not, do not mark it; Search all returned data packets to see whether there is a personal service of the service type belonging to the preferred service set. If so, mark the corresponding returned data packet as the second data packet; if not, do not mark it; Counting the number of first data packets and taking it as a first total number Z1, and counting the number of second data packets and taking it as a second total number Z2; By regression analysis formula The return analysis value Tf of the personal service end is calculated, Bqj is the return label in the second data packet, kj is the return label quantization coefficient, j is the second data packet number, j∈[1, Z2].

5. The power grid marketing intelligent management system based on multidimensional data analysis according to claim 4 is characterized by: The team business end is also connected to a team business evaluation unit, which is used to evaluate the team business completion. The evaluation method of the team business completion is: Mark several individual business ends determined by the team business as target business ends, monitor the performance of the target business ends and use them as the team's actual performance component, obtain the time required for the team's actual performance component to reach the team's target performance component, and use it as the individual completion time; At the same time, the time spent on the target business end is monitored and used as personal actual time. The performance achieved when the personal actual time reaches the team's business target time is obtained and used as personal completed performance. The complexity calculation formula The team's business completion degree O is calculated, x1 and x2 are complex factors, F(x1) and G(x2) are standard quantitative functions of complex factors x1 and x2 respectively; Gt is the team business target time, GSh is the individual completion time, h is the target business end number, h∈[1,n2], n2 is the total number of target business ends; GYh is the individual performance achieved at the target business end, and MBh is the team target performance component.

6. The power grid marketing intelligent management system based on multidimensional data analysis according to claim 5 is characterized by: The personal business end is also connected to a personal business evaluation unit, which is used to obtain the team business completion degree O and calculate the team business capability coefficient based on the team completion degree O.

7. The power grid marketing intelligent management system based on multidimensional data analysis according to claim 6 is characterized by: The team business end is also connected to an evaluation unit, which is used to obtain the business satisfaction Ac of the target business end. The business satisfaction Ac is obtained in the form of scoring the team business.

8. The power grid marketing intelligent management system based on multidimensional data analysis according to claim 7 is characterized by: The method to optimize the publishing logic is: The calculation or analysis results of multiple dimensions of the decision analysis unit, return unit, record unit, team business assessment unit, personal business assessment unit, evaluation unit and business preference set of the personal business end are comprehensively processed to obtain multi-dimensional analysis values, and the release method of the system business is optimized based on the multi-dimensional analysis values.

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