CN115860694A - Business expansion process management and control method and system based on instant message technology - Google Patents
Business expansion process management and control method and system based on instant message technology Download PDFInfo
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- CN115860694A CN115860694A CN202310006540.XA CN202310006540A CN115860694A CN 115860694 A CN115860694 A CN 115860694A CN 202310006540 A CN202310006540 A CN 202310006540A CN 115860694 A CN115860694 A CN 115860694A
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Abstract
The invention relates to the technical field of power flow management, and discloses a business expansion flow management and control method and system based on an instant message technology.
Description
Technical Field
The invention relates to the technical field of power flow management, in particular to an industry expansion flow management and control method and system based on an instant message technology.
Background
Under the promotion of the advanced reform of the electric power system, the comprehensive implementation and management of the power grid are lean, the lean idea is wide and thick, the value creation capability is obviously enhanced, the enterprise operation benefit and the development quality are obviously improved, and the key indexes reach the international first-class level. In order to realize lean management of marketing, improve the focusing operation efficiency and quality and particularly optimize the efficiency of business expansion work, the scheme adopts the instant messaging technology to strengthen communication with managers, service personnel and electricity customers by constructing digital application, monitors every link of business expansion in an all-round and whole process, improves the business expansion handling efficiency, finally achieves the purposes of improving the satisfaction degree and the use experience of customers, realizes the purpose of lean management of marketing and assists the construction of a modern power supply service system.
At present, in the operation flow of the power grid expansion, although the information management monitoring is basically realized in a large link, a plurality of internal responsibility departments are involved in the operation flow, the work among all the departments is relatively independent, a client manager lacks understanding of the whole operation condition of the operation expansion, and the operation of all the links is difficult to urge, so that the overall work development efficiency is low. At present, an effective communication channel support is lacked between an electricity utilization client and a client manager, the situation of semantic understanding error is easily caused by traditional telephone communication, the communication process cannot be monitored, the client service quality is difficult to control, and the progress situation cannot be timely mastered by a management layer.
The business expansion work order has large data volume, needs manual data derivation and is matched through a table, and due to the fact that the business types are many, the flow is long, the links are many, the workload is large, manual errors are easy to occur, and the efficiency is not high; the current time calculation adopts natural day calculation, and the accuracy is not high; in addition, the work order progress and the work order link condition are not transmitted in real time, and the business personnel are more complicated to acquire information.
Meanwhile, although major links of business expansion can be generally found from a marketing system, supervision and promotion cannot be performed, different molecular companies have own small flow nodes and different node time limit requirements among large links, manual communication and coordination are needed, and the process is lack of an effective channel to follow.
When a power consumption client transacts business expansion, the transaction process and data need to be consulted to know the transaction progress of the current business, and the client manager also needs to communicate with the power consumption client for multiple times in the transaction process.
Disclosure of Invention
The invention provides a business expansion process management and control method and system based on an instant message technology, and solves the technical problems of low timeliness, low efficiency and high communication cost of business expansion management and control.
In view of this, the first aspect of the present invention provides an expanding process control method based on an instant messaging technology, including the following steps:
accessing a provincial big data cloud platform by using a data sandbox, and extracting business expansion work order data to a local market business expansion management control platform, wherein the business expansion work order data comprises power utilization user information, business expansion administration units, business expansion demand types and business expansion indexes;
performing anomaly analysis on the business expansion indexes based on an isolated forest algorithm to obtain abnormal business expansion worksheet data;
performing clustering analysis on abnormal business expansion work order data based on K-means clustering to obtain a business expansion work order clustering result, classifying the corresponding abnormal business expansion work order data according to the business expansion work order clustering result, and generating a supervision work order problem list;
based on an RPA robot system, generating a supervision task according to the supervision work order problem list, dispatching the supervision task to a corresponding supervision unit according to a business expansion administration unit, and issuing the supervision task to a designated supervision person according to the business expansion demand type, wherein the supervision task comprises business expansion content, power customers, business expansion demand type and early warning reminding;
and establishing a communication channel between the electricity utilization client and the appointed supervision personnel, managing and controlling the task progress of the supervision task, and feeding back the task completion information of the supervision task.
Preferably, the data sandbox is used for accessing the provincial big data cloud platform, and the business expansion work order data are extracted to the local market business expansion management and control platform, wherein the steps of the business expansion work order data including business expansion administrative units, business expansion demand types and business expansion indexes specifically comprise:
sending an access request to the provincial big data cloud platform through the local market management and control platform;
responding the access request sent by the local municipal business expansion management and control platform through the provincial big data cloud platform, constructing a closed pipeline among the provincial big data cloud platform, the data sandbox and the local municipal business expansion management and control platform, and extracting the business expansion worksheet data from the provincial big data cloud platform to the data sandbox;
synchronizing and storing the business expansion worksheet data to a city data warehouse through the data sandbox;
and extracting business expansion work order data from the local market data warehouse through the local market business expansion management control platform, wherein the business expansion work order data comprise business expansion administration units, business expansion demand types and business expansion indexes.
Preferably, the method further comprises:
when the acceptance time of a plurality of business expansion work order data is obtained, constructing an observation time sequence of the acceptance time of the plurality of business expansion work order data;
predicting the acceptance time of the business expansion worksheet data in the future preset time period by using a time sequence analysis method according to the observation time sequence to obtain the acceptance prediction time in the future preset time period;
and fitting according to the acceptance prediction time in the future preset time period and the corresponding time to obtain an acceptance time prediction trend curve of the business expansion worksheet data.
Preferably, the method further comprises:
marking the power consumption users through the labels according to the business expansion demand types, establishing a mapping relation between the power consumption users and the labels, and storing the mapping relation between the power consumption users and the labels.
Preferably, the method further comprises:
acquiring a plurality of business expansion worksheet data;
classifying the business expansion indexes in the business expansion worksheet data according to the business expansion requirement type to obtain a business expansion index data set under the business expansion requirement type;
setting a weight coefficient of each business expansion demand type;
and performing weighted calculation on the business expansion indexes of the business expansion work order data according to the weight coefficient to obtain a weighted result as a grading result of the business expansion work order data.
In a second aspect, the present invention further provides an already-expanded process management and control system based on the instant messaging technology, including:
the data acquisition module is used for accessing the provincial-level big data cloud platform by using a data sandbox and extracting the business expansion worksheet data to the local market business expansion management control platform, wherein the business expansion worksheet data comprises power utilization user information, business expansion administrative units, business expansion demand types and business expansion indexes;
the index abnormity analysis module is used for carrying out abnormity analysis on the business expansion indexes based on an isolated forest algorithm to obtain abnormal business expansion worksheet data;
the cluster analysis module is used for carrying out cluster analysis on abnormal business expansion worksheet data based on K-means clustering to obtain business expansion worksheet clustering results, classifying the corresponding abnormal business expansion worksheet data according to the business expansion worksheet clustering results and generating a supervision worksheet problem list;
the supervision task issuing module is used for generating a supervision task according to the supervision work order problem list based on the RPA robot system, dispatching the supervision task to a corresponding supervision unit according to a business expansion administration unit, and issuing the supervision task to a designated supervision person according to the business expansion requirement type, wherein the supervision task comprises business expansion content, power utilization customers, business expansion requirement types and early warning reminding;
and the progress management and control module is used for constructing a communication channel between the electricity utilization client and the appointed supervision personnel, managing and controlling the task progress of the supervision task and feeding back the task completion information of the supervision task.
Preferably, the data acquisition module specifically includes:
the access module is used for sending an access request to the provincial big data cloud platform through the local market expansion management control platform;
the first data extraction module is used for responding to the access request sent by the local municipal business expansion management and control platform through the provincial big data cloud platform, constructing a closed pipeline between the provincial big data cloud platform and the data sandbox and the local municipal business expansion management and control platform, and extracting the business expansion worksheet data from the provincial big data cloud platform to the data sandbox;
the storage module is used for synchronizing and storing the business expansion worksheet data to a city data warehouse through the data sandbox;
and the second data extraction module is used for extracting the business expansion worksheet data in the local market data warehouse through the local market business expansion control platform, wherein the business expansion worksheet data comprises business expansion administrative units, business expansion demand types and business expansion indexes.
Preferably, the system further comprises:
the observation module is used for constructing an observation time sequence for the acceptance time of the plurality of business expansion work order data when the acceptance time of the plurality of business expansion work order data is obtained;
the prediction module is used for predicting the acceptance time of the business expansion worksheet data in the future preset time period according to the observation time sequence by using a time sequence analysis method to obtain the acceptance prediction time in the future preset time period;
and the trend fitting module is used for fitting the acceptance prediction time within the future preset time period with the corresponding time to obtain an acceptance time prediction trend curve of the business expansion worksheet data.
Preferably, the system further comprises:
and the mapping module is used for marking the electricity users through the tags according to the business expansion demand types, establishing the mapping relation between the electricity users and the tags, and storing the mapping relation between the electricity users and the tags.
Preferably, the system further comprises:
the work order acquisition module is used for acquiring a plurality of business expansion work order data;
the classification module is used for classifying the business expansion indexes in the business expansion worksheet data according to the business expansion requirement types to obtain business expansion index data sets under the business expansion requirement types;
the weight setting module is used for setting weight coefficients of all business expansion demand types;
and the weighting module is used for carrying out weighting calculation on the business expansion indexes of the business expansion work order data according to the weighting coefficients to obtain a weighting result as a grading result of the business expansion work order data.
According to the technical scheme, the invention has the following advantages:
the method comprises the steps of accessing a provincial-level big data cloud platform by using a data sandbox, extracting business expansion work order data to a local market business expansion management control platform, performing abnormal analysis on business expansion indexes on the basis of an isolated forest algorithm to obtain abnormal business expansion work order data, performing cluster analysis on the abnormal business expansion work order data on the basis of K-means clustering to obtain a business expansion work order clustering result, classifying the corresponding abnormal business expansion work order data according to the business expansion work order clustering result, generating a supervision work order problem list, generating supervision tasks according to the supervision work order problem list on the basis of an RPA robot system, dispatching the supervision tasks to corresponding management units according to business expansion administration units, issuing the supervision tasks to appointed supervision personnel according to business expansion demand types, constructing a communication channel between an electricity customer and the appointed supervision personnel, managing task progress of the supervision tasks, and feeding back task completion information of the supervision tasks, thereby realizing business expansion flow closed-loop engineering, improving business expansion management timeliness and management efficiency, and reducing communication cost.
Drawings
Fig. 1 is a flowchart of an expanding process control method based on an instant messaging technology according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an expanding flow control system based on an instant messaging technology according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
For convenience of understanding, please refer to fig. 1, the method for managing and controlling an expansion process based on an instant messaging technology provided by the present invention includes the following steps:
s1, accessing a provincial big data cloud platform by using a data sandbox, and extracting business expansion work order data to a local market business expansion management control platform, wherein the business expansion work order data comprise power utilization user information, business expansion administration units, business expansion demand types and business expansion indexes.
The cloud platform is used for accessing province company big data through the data sandbox, a cloud-bin integrated data backflow solution is adopted, the contradiction between privacy protection and data mining is solved, business expansion worksheet data are extracted in real time, massive data are downloaded, delay and limitation of time and space to management response are effectively reduced, timeliness and accuracy of management decision are improved, deep data mining is achieved, a support tool for panoramic insight, intelligent monitoring and intelligent decision making is provided for a manager through a multi-dimensional visual angle, and basic level business personnel are assisted in working and developing.
The business type automatically analyzes business expansion worksheet data of large customer capacity expansion, large customer new installation, large customer temporary electricity consumption, high voltage new installation, high voltage capacity expansion, high voltage capacity reduction, high voltage temporary electricity consumption, low voltage non-resident capacity expansion, low voltage non-resident new installation, low voltage non-resident capacity reduction, low voltage non-resident temporary electricity consumption, low voltage resident capacity expansion, low voltage resident new installation, low voltage resident capacity reduction and the like according to business rules.
S2, carrying out anomaly analysis on the business expansion indexes based on an isolated forest algorithm to obtain abnormal business expansion worksheet data;
the abnormal business expansion worksheet data comprises the ultra-long business expansion time, the ultra-short time, the overtime link and unreasonable logic. And setting the initial height of the isolated forest tree, setting the dimensionality of each pair of business expansion indexes, training to obtain a trained isolated forest algorithm, and performing anomaly analysis on the business expansion indexes through the trained isolated forest algorithm.
And S3, carrying out clustering analysis on the abnormal business expansion worksheet data based on the K-means clustering to obtain a business expansion worksheet clustering result, classifying the corresponding abnormal business expansion worksheet data according to the business expansion worksheet clustering result, and generating a supervision worksheet problem list.
The data are grouped by adopting K-Means Clustering (K-Means Clustering) and machine learning, and the association between the data is found out. The method for grouping data points (for example, records in a database) is assisted by finding the nearest data points through a cluster analysis algorithm and dividing the data points into a group so as to perform correlation and disassembly on the business expansion indexes and find out the reason of the problem.
The specific process comprises the following steps:
and S31, acquiring business expansion worksheet data.
S32, carrying out monthly statistics on the time data of the business expansion work orders, determining the number K of clusters of the time data of the N business expansion work orders, dividing the data into 4 classes, and respectively carrying out overtime on the whole process, overtime on the links, overtime on the whole process and overtime on the links, namely K =4.
S33, randomly determining K initial points as mass centers (randomly selecting 1-n in the range of the data boundary).
And S34, sequentially calculating the distances from each data instance to the K centroids, selecting the centroid with the minimum distance, distributing the centroid to the cluster corresponding to the centroid until all data in the data set are distributed to the K clusters when all the business expansion workshops are used, and updating the centroids of the K clusters to be the average value of all the points of the cluster.
And S35, circulating the step S34, redistributing the data instances of each business expansion work order to a new center of mass until the distribution result of all the data is not changed any more, thereby obtaining the corresponding abnormal business expansion work order data for classification and generating a supervision work order problem list.
And S4, generating a supervision task based on the RPA robot system according to the supervision work order problem list, sending the supervision task to a corresponding supervision unit according to the business expansion administration unit, and sending the supervision task to a designated supervision person according to the business expansion demand type, wherein the supervision task comprises business expansion content, power utilization customers, the business expansion demand type and early warning reminding.
After the supervision tasks are generated according to the supervision work order problem list, the supervision tasks can be sent to corresponding supervision units, namely business expansion administration units, according to the business expansion administration units, meanwhile, workers responsible for the business can exist in the supervision units, a mapping relation between the workers and the business requirement types is established, and therefore the supervision tasks can be sent to the appointed supervision personnel according to the business expansion requirement types.
It can be understood that the supervision task problem list can be automatically distributed to corresponding district and power supply station according to the association and disassembly of power supply units and service types, and the problems are submitted and examined step by step and in a skip stage manner, so that the closed-loop management of the task problems is finally realized, and the management and control efficiency is further improved.
Meanwhile, supervision task early warning reminding and overtime notification are carried out according to the requirements of management and control during business expansion and prevention of extracorporeal circulation, corresponding supervision personnel are automatically notified while the supervision task problem list is issued, the modes include Day +2, day +1, overtime reminding and the like, and the handling reminding can be carried out in the task handling process.
S5, a communication channel between the electricity utilization client and the appointed supervising personnel is established, the task progress of the supervising task is controlled, and task completion information of the supervising task is fed back.
Wherein, the communication channel can be established through the platform, and the platform includes that wechat public number, eLink, APP remove the end to and with inside marketing service system integrated module, thereby can in time know the industry and expand omnidirectional information, follow-up processing fast improves the industry and expands the efficiency of handling. The electricity utilization client can find the communication business expansion progress of the exclusive client manager and consult the electricity utilization problem at any time on the platform through a social form, and can also obtain the latest progress of the transacted work order at any time.
The embodiment provides an instant message technology-based business expansion process management and control method, which comprises the steps of accessing a provincial-level big data cloud platform by using a data sandbox, extracting business expansion work order data to a local-city business expansion management and control platform, conducting abnormal analysis on business expansion indexes on the basis of an isolated forest algorithm to obtain abnormal business expansion work order data, conducting clustering analysis on the abnormal business expansion work order data on the basis of K-means clustering to obtain a business expansion work order clustering result, classifying the corresponding abnormal business expansion work order data according to the business expansion work order clustering result, generating a supervision work order problem list, generating supervision tasks according to the supervision work order problem list on the basis of an RPA robot system, dispatching the supervision tasks to corresponding supervision units according to the business expansion administration units, issuing the supervision tasks to appointed supervision personnel according to the business expansion requirement types, constructing a communication channel between an electricity customer and the appointed supervision personnel, managing the task progress, feeding back task completion information of the supervision tasks, realizing the business expansion process management and control efficiency, improving the closed-loop management and control efficiency, and reducing the expansion cost.
In a specific embodiment, step S1 specifically includes:
s101, sending an access request to a provincial big data cloud platform through a local market management and control platform;
s102, responding to an access request sent by a local municipal expansion management and control platform through a provincial big data cloud platform, constructing a closed pipeline among the provincial big data cloud platform, a data sandbox and the local municipal expansion management and control platform, and extracting business expansion worksheet data from the provincial big data cloud platform to the data sandbox;
s103, synchronizing and storing the business expansion worksheet data to a city data warehouse through a data sandbox;
s104, extracting the business expansion work order data from the local market data warehouse through the local market business expansion control platform, wherein the business expansion work order data comprise business expansion administrative units, business expansion demand types and business expansion indexes.
In one embodiment, the method further comprises:
s61, when the acceptance time of the plurality of business expansion work order data is obtained, constructing an observation time sequence of the acceptance time of the plurality of business expansion work order data;
s62, forecasting the acceptance time of the business expansion worksheet data in the future preset time period by using a time sequence analysis method according to the observation time sequence to obtain the acceptance forecasting time in the future preset time period;
the time series analysis method is a statistical method, is beneficial to identifying trends and periods in a period of time, the trends are steadily increased or decreased in a long period of time, and is mainly used for judging information in aspects such as the trend, labor cost and the like when the current business expansion is installed.
Wherein, step S62 specifically includes:
s621, acquiring an observation time sequence;
s622, fitting the data of the observation time sequence during the work expansion work orders according to the monthly statistical period by using a universal random model, continuously correcting the prediction model by using a Hall-temperature (Holt-Winters) method, smoothing the predicted time sequence compared with the original time sequence data, and predicting the acceptance prediction time trend of one month in the future by using a forecast function.
And S63, fitting according to the acceptance prediction time in the future preset time period and the corresponding time to obtain an acceptance time prediction trend curve of the business expansion worksheet data.
In one example, data information such as time-consuming trend of business handling is judged according to the incoming time and the outgoing time of the business handling link of the business handling worksheet.
In one embodiment, the method further comprises:
marking the electricity users through the labels according to the business expansion demand types, establishing a mapping relation between the electricity users and the labels, and storing the mapping relation between the electricity users and the labels.
The method comprises the steps of mining potential demand users through tags, reading rules and business data of the tags, such as user basic information data and business expansion worksheet data, constructing a tag system, storing tag data of each user tag data, and deeply mining potential demands of power customers.
In one example, the user for which the customer is prepared for the application is a potential user; the user who submits the business expansion new installation and capacity expansion work order is a submission user; the user who has completed power on and power transmission is the power transmission user.
In one embodiment, the method further comprises:
s71, acquiring data of a plurality of business expansion worksheets;
s72, classifying the business expansion indexes in the business expansion worksheet data according to the business expansion requirement type to obtain a business expansion index data set under the business expansion requirement type;
s73, setting weight coefficients of all business expansion requirement types;
in one example, the index weight is set, the average business expansion time weight is 25%, the power transmission completion rate of the business expansion work order is 25%, the master standard reaching rate weight is 25%, the business expansion work order invalidation rate weight is 15%, and the potential demand collection timeliness rate is 10%.
And S74, carrying out weighted calculation on the business expansion indexes of the business expansion work order data according to the weight coefficients to obtain a weighted result as a grading result of the business expansion work order data.
The above is a detailed description of an embodiment of the already-expanded flow management and control method based on the instant messaging technology, and the following is a detailed description of an embodiment of the already-expanded flow management and control system based on the instant messaging technology.
For easy understanding, please refer to fig. 2, the present invention provides an expanding process management and control system based on instant messaging technology, which includes:
the data acquisition module 100 is used for accessing a provincial big data cloud platform by using a data sandbox and extracting business expansion work order data to a local market business expansion management control platform, wherein the business expansion work order data comprises power utilization user information, business expansion administrative units, business expansion demand types and business expansion indexes;
the index abnormity analysis module 200 is used for carrying out abnormity analysis on the business expansion indexes based on an isolated forest algorithm to obtain abnormal business expansion worksheet data;
the cluster analysis module 300 is used for carrying out cluster analysis on the abnormal business expansion worksheet data based on the K-means cluster to obtain a business expansion worksheet cluster result, classifying the corresponding abnormal business expansion worksheet data according to the business expansion worksheet cluster result and generating a supervision worksheet problem list;
the supervision task issuing module 400 is used for generating supervision tasks according to a supervision work order problem list based on the RPA robot system, sending the supervision tasks to corresponding supervision units according to business expansion administration units, and issuing the supervision tasks to designated supervision personnel according to business expansion demand types, wherein the supervision tasks comprise business expansion content, power customers, business expansion demand types and early warning reminding;
and the progress management and control module 500 is used for constructing a communication channel between the electricity utilization client and the appointed supervising personnel, managing and controlling the task progress of the supervising task, and feeding back the task completion information of the supervising task.
In a specific embodiment, the data obtaining module specifically includes:
the access module is used for sending an access request to the provincial big data cloud platform through the local market expansion management control platform;
the first data extraction module is used for responding to an access request sent by the local municipal expansion management and control platform through the provincial big data cloud platform, constructing a closed pipeline between the provincial big data cloud platform and the local municipal expansion management and control platform and extracting the business expansion worksheet data from the provincial big data cloud platform to the data sandbox;
the storage module is used for synchronizing and storing the business expansion worksheet data to a city data warehouse through a data sandbox;
and the second data extraction module is used for extracting the business expansion worksheet data from the local market data warehouse through the local market business expansion control platform, wherein the business expansion worksheet data comprises business expansion administrative units, business expansion demand types and business expansion indexes.
In one embodiment, the system further comprises:
the observation module is used for constructing an observation time sequence for the acceptance time of the plurality of business expansion work order data when the acceptance time of the plurality of business expansion work order data is obtained;
the prediction module is used for predicting the acceptance time of the business expansion worksheet data in the future preset time period according to the observation time sequence by using a time sequence analysis method to obtain the acceptance prediction time in the future preset time period;
and the trend fitting module is used for fitting the acceptance prediction time within the future preset time period with the corresponding time to obtain an acceptance time prediction trend curve of the business expansion worksheet data.
In one embodiment, the system further comprises:
and the mapping module is used for marking the electricity users through the tags according to the business expansion demand types, establishing the mapping relation between the electricity users and the tags, and storing the mapping relation between the electricity users and the tags.
In one embodiment, the system further comprises:
the work order acquisition module is used for acquiring a plurality of business expansion work order data;
the classification module is used for classifying the business expansion indexes in the business expansion worksheet data according to the business expansion requirement types to obtain a business expansion index data set under the business expansion requirement types;
the weight setting module is used for setting weight coefficients of all business expansion demand types;
and the weighting module is used for carrying out weighting calculation on the business expansion indexes of the business expansion work order data according to the weighting coefficients to obtain a weighting result which is used as a grading result of the business expansion work order data.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is only a logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A business expansion process control method based on instant message technology is characterized by comprising the following steps:
accessing a provincial big data cloud platform by using a data sandbox, and extracting business expansion work order data to a city business expansion management control platform, wherein the business expansion work order data comprises power utilization user information, business expansion administrative units, business expansion demand types and business expansion indexes;
performing anomaly analysis on the business expansion indexes based on an isolated forest algorithm to obtain abnormal business expansion worksheet data;
performing clustering analysis on abnormal business expansion work order data based on K-means clustering to obtain a business expansion work order clustering result, classifying the corresponding abnormal business expansion work order data according to the business expansion work order clustering result, and generating a supervision work order problem list;
based on an RPA robot system, generating a supervision task according to the supervision work order problem list, sending the supervision task to a corresponding supervision unit according to a business expansion administration unit, and sending the supervision task to a designated supervision person according to the business expansion demand type, wherein the supervision task comprises business expansion content, power customers, business expansion demand types and early warning reminding;
and establishing a communication channel between the electricity utilization client and the appointed supervision personnel, managing and controlling the task progress of the supervision task, and feeding back the task completion information of the supervision task.
2. The method for managing and controlling the business expansion process based on the instant messaging technology according to claim 1, wherein the step of accessing the provincial big data cloud platform by using the data sandbox to extract the business expansion work order data to the local market business expansion management and control platform, wherein the step of the business expansion work order data comprising the business expansion administration unit, the business expansion demand type and the business expansion index specifically comprises the steps of:
sending an access request to the provincial big data cloud platform through the local market management and control platform;
responding the access request sent by the local municipal business expansion management and control platform through the provincial big data cloud platform, constructing a closed pipeline among the provincial big data cloud platform, the data sandbox and the local municipal business expansion management and control platform, and extracting the business expansion worksheet data from the provincial big data cloud platform to the data sandbox;
synchronizing and storing the business expansion worksheet data to a city data warehouse through the data sandbox;
and extracting business expansion work order data from the local market data warehouse through the local market business expansion management control platform, wherein the business expansion work order data comprise business expansion administration units, business expansion demand types and business expansion indexes.
3. The method for managing and controlling the business expansion process based on the instant messaging technology as claimed in claim 1, further comprising:
when the acceptance time of a plurality of business expansion work order data is obtained, constructing an observation time sequence of the acceptance time of the plurality of business expansion work order data;
predicting the acceptance time of the business expansion worksheet data in the future preset time period by using a time sequence analysis method according to the observation time sequence to obtain the acceptance prediction time in the future preset time period;
and fitting according to the acceptance prediction time in the future preset time period and the corresponding time to obtain an acceptance time prediction trend curve of the business expansion worksheet data.
4. The method for managing and controlling the business expansion process based on the instant messaging technology as claimed in claim 1, further comprising:
marking the electricity users through the labels according to the business expansion demand types, establishing a mapping relation between the electricity users and the labels, and storing the mapping relation between the electricity users and the labels.
5. The method for managing and controlling the business expansion process based on the instant messaging technology as claimed in claim 1, further comprising:
acquiring a plurality of business expansion worksheet data;
classifying the business expansion indexes in the business expansion worksheet data according to the business expansion requirement type to obtain a business expansion index data set under the business expansion requirement type;
setting a weight coefficient of each business expansion demand type;
and performing weighted calculation on the business expansion indexes of the business expansion work order data according to the weight coefficient to obtain a weighted result as a grading result of the business expansion work order data.
6. An industry expansion process management and control system based on instant message technology is characterized by comprising:
the data acquisition module is used for accessing the provincial big data cloud platform by using the data sandbox and extracting the business expansion work order data to the local market business expansion management control platform, wherein the business expansion work order data comprise power utilization user information, business expansion administrative units, business expansion demand types and business expansion indexes;
the index abnormity analysis module is used for carrying out abnormity analysis on the business expansion indexes based on an isolated forest algorithm to obtain abnormal business expansion worksheet data;
the cluster analysis module is used for carrying out cluster analysis on abnormal business expansion worksheet data based on K-means clustering to obtain business expansion worksheet clustering results, classifying the corresponding abnormal business expansion worksheet data according to the business expansion worksheet clustering results and generating a supervision worksheet problem list;
the supervision task issuing module is used for generating supervision tasks according to the supervision work order problem list based on the RPA robot system, sending the supervision tasks to corresponding supervision units according to business expansion administration units, and issuing the supervision tasks to appointed supervision personnel according to the business expansion requirement types, wherein the supervision tasks comprise business expansion content, power customers, business expansion requirement types and early warning reminding;
and the progress management and control module is used for constructing a communication channel between the electricity utilization client and the appointed supervision personnel, managing and controlling the task progress of the supervision task and feeding back the task completion information of the supervision task.
7. The system of claim 6, wherein the data acquisition module specifically comprises:
the access module is used for sending an access request to the provincial big data cloud platform through the local market management and control platform;
the first data extraction module is used for responding to the access request sent by the local municipal business expansion management and control platform through the provincial big data cloud platform, constructing a closed pipeline between the provincial big data cloud platform and the data sandbox and the local municipal business expansion management and control platform, and extracting the business expansion worksheet data from the provincial big data cloud platform to the data sandbox;
the storage module is used for synchronizing and storing the business expansion worksheet data to a city data warehouse through the data sandbox;
and the second data extraction module is used for extracting the business expansion worksheet data in the local market data warehouse through the local market business expansion control platform, wherein the business expansion worksheet data comprises business expansion administrative units, business expansion demand types and business expansion indexes.
8. The system of claim 6, further comprising:
the observation module is used for constructing an observation time sequence for the acceptance time of the plurality of business expansion work order data when the acceptance time of the plurality of business expansion work order data is obtained;
the prediction module is used for predicting the acceptance time of the business expansion worksheet data in the future preset time period according to the observation time sequence by using a time sequence analysis method to obtain the acceptance prediction time in the future preset time period;
and the trend fitting module is used for fitting the acceptance prediction time within the future preset time period with the corresponding time to obtain an acceptance time prediction trend curve of the business expansion worksheet data.
9. The system of claim 1, further comprising:
and the mapping module is used for marking the electricity users through the tags according to the business expansion demand types, establishing the mapping relation between the electricity users and the tags, and storing the mapping relation between the electricity users and the tags.
10. The system of claim 6, further comprising:
the work order acquisition module is used for acquiring a plurality of business expansion work order data;
the classification module is used for classifying the business expansion indexes in the business expansion worksheet data according to the business expansion requirement types to obtain business expansion index data sets under the business expansion requirement types;
the weight setting module is used for setting weight coefficients of all business expansion demand types;
and the weighting module is used for carrying out weighting calculation on the business expansion indexes of the business expansion work order data according to the weighting coefficients to obtain a weighting result as a grading result of the business expansion work order data.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116991563A (en) * | 2023-09-28 | 2023-11-03 | 之江实验室 | Queue generating method and device supporting rapid sandbox construction |
| CN117688541A (en) * | 2024-02-04 | 2024-03-12 | 国网冀北电力有限公司 | Data processing system is expanded in electric power industry |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116991563A (en) * | 2023-09-28 | 2023-11-03 | 之江实验室 | Queue generating method and device supporting rapid sandbox construction |
| CN116991563B (en) * | 2023-09-28 | 2023-12-22 | 之江实验室 | Queue generating method and device supporting rapid sandbox construction |
| CN117688541A (en) * | 2024-02-04 | 2024-03-12 | 国网冀北电力有限公司 | Data processing system is expanded in electric power industry |
| CN117688541B (en) * | 2024-02-04 | 2024-05-10 | 国网冀北电力有限公司 | Data processing system is expanded in electric power industry |
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