CN112116215A - Multi-dimensional electric charge recovery index monitoring method - Google Patents
Multi-dimensional electric charge recovery index monitoring method Download PDFInfo
- Publication number
- CN112116215A CN112116215A CN202010884357.6A CN202010884357A CN112116215A CN 112116215 A CN112116215 A CN 112116215A CN 202010884357 A CN202010884357 A CN 202010884357A CN 112116215 A CN112116215 A CN 112116215A
- Authority
- CN
- China
- Prior art keywords
- index
- electric charge
- monitoring
- early warning
- charge recovery
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 59
- 238000011084 recovery Methods 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000004064 recycling Methods 0.000 claims abstract description 18
- 230000002159 abnormal effect Effects 0.000 claims abstract description 13
- 238000010835 comparative analysis Methods 0.000 claims abstract description 4
- 230000005611 electricity Effects 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 6
- 230000000149 penetrating effect Effects 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
- G06Q40/125—Finance or payroll
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention relates to a multi-dimensional electric charge recovery index monitoring method, which comprises the following steps: step S1, constructing an electric charge recovery and arrearage condition monitoring index system of the financial caliber and the marketing caliber; step S2, collecting and positioning arrearage clients and arrearage reason data, assisting in making an electric charge recovery strategy, and making an electric charge recovery index; step S3, carrying out multi-dimensional comparative analysis on the electric charge recycling indexes to obtain index history, current situation and trend change conditions; step S4, setting an index early warning strategy, automatically fetching data periodically, and if an abnormal index is obtained, early warning each related unit personnel in time according to a sending object of the index early warning strategy; and step S5, executing a monitoring index strategy, dynamically displaying and navigating the monitoring execution result of the entry index through multiple dimensions, and transmitting the abnormal index to a related responsible person. The invention can efficiently and accurately calculate the monitoring index value and automatically early warn, thereby greatly reducing the manual calculation error and effectively improving the efficiency and the quality of the electric charge recovery supervision.
Description
Technical Field
The invention relates to the field of power monitoring, in particular to a multi-dimensional electric charge recovery index monitoring method.
Background
In the last two years, the descending pressure of the Chinese macro economy is increased, high-energy-consumption enterprises have excessive capacity and aggravated industrial operation difficulty, and a considerable number of enterprises face to be shut down and transferred, and the condition of local electric charge arrearage is aggravated. In the electric charge recovery work, part of units appear in the condition that the time of money in transit is shorter than or far longer than the time of bank account arrival, so that the electric charge recovery data is inconsistent; in the daily electric charge recycling business, a marketing system displays that a receipt is really received, and under the condition that the receipt is really received but the fund is not yet paid, the electric charge recycling is influenced; in daily electric charge recycling and arrearage tracing work, effective cooperation and communication interaction mechanisms are lacked among all departments of a company, the problem of electric charge recycling cannot be timely rectified and solved, and similar problems are easy to frequently occur.
Disclosure of Invention
In view of the above, the present invention provides a multidimensional electric charge recycling index monitoring method, which can efficiently and accurately calculate a monitoring index value and automatically perform early warning, thereby greatly reducing manual calculation errors, effectively improving the electric charge recycling monitoring efficiency and quality, and rapidly performing source tracing analysis on monitoring index data to find the root cause of the abnormal index value.
In order to achieve the purpose, the invention adopts the following technical scheme:
a multi-dimensional electric charge recovery index monitoring method comprises the following steps:
step S1, constructing an electric charge recovery and arrearage condition monitoring index system of the financial caliber and the marketing caliber based on the monitoring requirements of the electric charge recovery and the electric charge reconciliation condition;
step S2, collecting and positioning arrearage clients and arrearage reason data, assisting in making an electric charge recovery strategy, and making an electric charge recovery index;
step S3, carrying out multi-dimensional comparative analysis on the electric charge recycling indexes to obtain index history, current situation and trend change conditions;
step S4, setting an index early warning strategy, automatically fetching data periodically, and if an abnormal index is obtained, early warning each related unit personnel in time according to a sending object of the index early warning strategy;
and step S5, executing a monitoring index strategy, dynamically displaying and navigating the monitoring execution result of the entry index through multiple dimensions, and transmitting the abnormal index to a related responsible person.
Further, the step S1 is specifically:
step S11, converting the electricity charge recycling and account checking conditions of the electricity charge, and different statistical caliber requirements of finance and marketing into monitoring indexes;
and step S12, constructing an electric charge recovery and arrearage condition monitoring index system of the financial caliber and the marketing caliber through correlation and parameter allocation.
Further, step S2 is specifically:
step S21, performing operation and financial and electric charge recovery service data tracing analysis according to the electric charge recovery period, the analysis unit and the dimensionality of the electric enterprise/individual;
and step S22, displaying the electricity consumption and arrearage information in a tree form and the like, supporting a system for penetrating capital and electricity price and electricity fee to check the original service information of detailed service bills and bookkeeping vouchers, assisting monitoring personnel to quickly analyze arrearage structures, positioning arrearage objects, analyzing arrearage root causes and formulating electricity fee recovery indexes.
Further, the step S3 is specifically:
step S31, performing unit difference, area difference, marketing approval value difference, financial approval value difference and other difference analysis on the electric charge recovery indexes, and knowing all different aspects of difference conditions from different dimensions;
and step S32, performing multi-period and same-ratio analysis, multi-unit ring ratio analysis, multi-unit trend analysis and multi-index trend analysis on the electric charge recovery indexes to comprehensively understand the change condition of each unit index.
Further, the step S4 is specifically:
step S41, managing a supervision period, an early warning level, an early warning threshold value and an early warning mode of the electric charge recovery index monitoring as early warning strategy information by setting an index early warning strategy, and automatically fetching data at regular intervals;
and step S42, screening the abnormal indexes, and timely early warning each related unit personnel according to the sending object of the index early warning strategy.
A multi-dimensional electric charge recovery index monitoring system comprises a monitoring unit, an early warning unit, a data processing unit and a data traceability analysis unit; the data processing unit is respectively connected with the monitoring unit, the early warning unit and the data source tracing analysis unit.
Compared with the prior art, the invention has the following beneficial effects:
the invention can efficiently and accurately calculate the monitoring index value and automatically early warn, greatly reduces the manual calculation error, effectively improves the efficiency and quality of monitoring and managing the electric charge recovery, can quickly carry out traceability analysis on the monitoring index data and accurately find the root cause of the abnormal index value.
Drawings
FIG. 1 is a table of monitoring metrics sorted in one embodiment of the invention;
FIG. 2 illustrates an index pre-warning policy setting in an embodiment of the invention;
FIG. 3 is a diagram of index monitoring and warning in an embodiment of the present invention;
FIG. 4 is a diagram illustrating an index monitoring result analysis according to an embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
Referring to fig. 1, the present invention provides a multi-dimensional electric charge recycling index monitoring method, including the following steps:
step S1, constructing an electric charge recovery and arrearage condition monitoring index system of the financial caliber and the marketing caliber based on the monitoring requirements of the electric charge recovery and the electric charge reconciliation condition;
step S2, collecting and positioning arrearage clients and arrearage reason data, assisting in making an electric charge recovery strategy, and making an electric charge recovery index;
step S3, carrying out multi-dimensional comparative analysis on the electric charge recycling indexes to obtain index history, current situation and trend change conditions;
step S4, setting an index early warning strategy, automatically fetching data periodically, and if an abnormal index is obtained, early warning each related unit personnel in time according to a sending object of the index early warning strategy;
and step S5, executing a monitoring index strategy, dynamically displaying and navigating the monitoring execution result of the entry index through multiple dimensions, and transmitting the abnormal index to a related responsible person.
In this embodiment, the step S1 specifically includes:
step S11, converting the electricity charge recycling and account checking conditions of the electricity charge, and different statistical caliber requirements of finance and marketing into monitoring indexes;
and step S12, constructing an electric charge recovery and arrearage condition monitoring index system of the financial caliber and the marketing caliber through correlation and parameter allocation.
Further, step S2 is specifically:
step S21, performing operation and financial and electric charge recovery service data tracing analysis according to the electric charge recovery period, the analysis unit and the dimensionality of the electric enterprise/individual;
and step S22, displaying the electricity consumption and arrearage information in a tree form and the like, supporting a system for penetrating capital and electricity price and electricity fee to check the original service information of detailed service bills and bookkeeping vouchers, assisting monitoring personnel to quickly analyze arrearage structures, positioning arrearage objects, analyzing arrearage root causes and formulating electricity fee recovery indexes.
In this embodiment, the step S3 specifically includes:
step S31, performing unit difference, area difference, marketing approval value difference, financial approval value difference and other difference analysis on the electric charge recovery indexes, and knowing all different aspects of difference conditions from different dimensions;
and step S32, performing multi-period and same-ratio analysis, multi-unit ring ratio analysis, multi-unit trend analysis and multi-index trend analysis on the electric charge recovery indexes to comprehensively understand the change condition of each unit index.
In this embodiment, the step S4 specifically includes:
step S41, managing a supervision period, an early warning level, an early warning threshold value and an early warning mode of the electric charge recovery index monitoring as early warning strategy information by setting an index early warning strategy, and automatically fetching data at regular intervals;
and step S42, screening the abnormal indexes, and timely early warning each related unit personnel according to the sending object of the index early warning strategy.
A multi-dimensional electric charge recovery index monitoring system comprises a monitoring unit, an early warning unit, a data processing unit and a data traceability analysis unit; the data processing unit is respectively connected with the monitoring unit, the early warning unit and the data source tracing analysis unit.
The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.
Claims (6)
1. A multi-dimensional electric charge recovery index monitoring method is characterized by comprising the following steps:
step S1, constructing an electric charge recovery and arrearage condition monitoring index system of the financial caliber and the marketing caliber based on the monitoring requirements of the electric charge recovery and the electric charge reconciliation condition;
step S2, collecting and positioning arrearage clients and arrearage reason data, assisting in making an electric charge recovery strategy, and making an electric charge recovery index;
step S3, carrying out multi-dimensional comparative analysis on the electric charge recycling indexes to obtain index history, current situation and trend change conditions;
step S4, setting an index early warning strategy, automatically fetching data periodically, and if an abnormal index is obtained, early warning each related unit personnel in time according to a sending object of the index early warning strategy;
and step S5, executing a monitoring index strategy, dynamically displaying and navigating the monitoring execution result of the entry index through multiple dimensions, and transmitting the abnormal index to a related responsible person.
2. The multidimensional electric charge recycling index monitoring method according to claim 1, characterized in that: the step S1 specifically includes:
step S11, converting the electricity charge recycling and account checking conditions of the electricity charge, and different statistical caliber requirements of finance and marketing into monitoring indexes;
and step S12, constructing an electric charge recovery and arrearage condition monitoring index system of the financial caliber and the marketing caliber through correlation and parameter allocation.
3. The method for monitoring the multi-dimensional electric charge recycling index according to claim 1, wherein the step S2 specifically comprises:
step S21, performing operation and financial and electric charge recovery service data tracing analysis according to the electric charge recovery period, the analysis unit and the dimensionality of the electric enterprise/individual;
and step S22, displaying the electricity consumption and arrearage information in a tree form and the like, supporting a system for penetrating capital and electricity price and electricity fee to check the original service information of detailed service bills and bookkeeping vouchers, assisting monitoring personnel to quickly analyze arrearage structures, positioning arrearage objects, analyzing arrearage root causes and formulating electricity fee recovery indexes.
4. The method for monitoring the multi-dimensional electric charge recycling index according to claim 1, wherein the step S3 specifically comprises:
step S31, performing unit difference, area difference, marketing approval value difference, financial approval value difference and other difference analysis on the electric charge recovery indexes, and knowing all different aspects of difference conditions from different dimensions;
and step S32, performing multi-period and same-ratio analysis, multi-unit ring ratio analysis, multi-unit trend analysis and multi-index trend analysis on the electric charge recovery indexes to comprehensively understand the change condition of each unit index.
5. The method for monitoring the multi-dimensional electric charge recycling index according to claim 1, wherein the step S4 specifically comprises:
step S41, managing a supervision period, an early warning level, an early warning threshold value and an early warning mode of the electric charge recovery index monitoring as early warning strategy information by setting an index early warning strategy, and automatically fetching data at regular intervals;
and step S42, screening the abnormal indexes, and timely early warning each related unit personnel according to the sending object of the index early warning strategy.
6. A multi-dimensional electric charge recovery index monitoring system is characterized by comprising a monitoring unit, an early warning unit, a data processing unit and a data traceability analysis unit; the data processing unit is respectively connected with the monitoring unit, the early warning unit and the data source tracing analysis unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010884357.6A CN112116215A (en) | 2020-08-28 | 2020-08-28 | Multi-dimensional electric charge recovery index monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010884357.6A CN112116215A (en) | 2020-08-28 | 2020-08-28 | Multi-dimensional electric charge recovery index monitoring method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112116215A true CN112116215A (en) | 2020-12-22 |
Family
ID=73804957
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010884357.6A Pending CN112116215A (en) | 2020-08-28 | 2020-08-28 | Multi-dimensional electric charge recovery index monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112116215A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105427196A (en) * | 2015-12-23 | 2016-03-23 | 国网山东省电力公司聊城供电公司 | Credit risk management and control system of electric power consumer |
| US20180025394A1 (en) * | 2015-04-08 | 2018-01-25 | Adi Analytics Ltd. | Qualitatively planning, measuring, making efficient and capitalizing on marketing strategy |
| CN107862467A (en) * | 2017-11-23 | 2018-03-30 | 国网辽宁省电力有限公司 | A kind of electric network synthetic data target monitoring method and system based on big data platform |
| CN109102162A (en) * | 2018-07-19 | 2018-12-28 | 国网安徽省电力有限公司 | A kind of monitoring method and device of tariff recovery data |
-
2020
- 2020-08-28 CN CN202010884357.6A patent/CN112116215A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180025394A1 (en) * | 2015-04-08 | 2018-01-25 | Adi Analytics Ltd. | Qualitatively planning, measuring, making efficient and capitalizing on marketing strategy |
| CN105427196A (en) * | 2015-12-23 | 2016-03-23 | 国网山东省电力公司聊城供电公司 | Credit risk management and control system of electric power consumer |
| CN107862467A (en) * | 2017-11-23 | 2018-03-30 | 国网辽宁省电力有限公司 | A kind of electric network synthetic data target monitoring method and system based on big data platform |
| CN109102162A (en) * | 2018-07-19 | 2018-12-28 | 国网安徽省电力有限公司 | A kind of monitoring method and device of tariff recovery data |
Non-Patent Citations (1)
| Title |
|---|
| 李雪松 等: "电力营销量价费预警管理系统的开发与应用", 《现代营销(学苑版)》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109461078B (en) | Abnormal transaction identification method and system based on fund transaction network | |
| Ng et al. | Applying Z-score model to distinguish insolvent construction companies in China | |
| CN102708149A (en) | Data quality management method and system | |
| CN104424613A (en) | Value added tax invoice monitoring method and system thereof | |
| CN102081781A (en) | Finance modeling optimization method based on information self-circulation | |
| CN109992661A (en) | A kind of intelligent public sentiment monitoring method and system towards securities industry | |
| CN102116773A (en) | Method for extracting and analyzing energy efficiency index of ethylene industry | |
| CN114742402A (en) | Information monitoring method, device, equipment and medium | |
| Wartono et al. | Analysis of Ratio and Financial Performance of Open Company Pharmaceutical Industry Which has Been Listing in Indonesia Stock Exchange (Case Study in Pharmaceutical Company PT. Kimia Farma. Tbk) | |
| CN109492900A (en) | The key risk identification of power grid project overseas investment and peripheral methods of risk assessment | |
| Al-Radaideh et al. | A data mining based model for detection of fraudulent behaviour in water consumption | |
| CN112116215A (en) | Multi-dimensional electric charge recovery index monitoring method | |
| CN112465397A (en) | Audit data analysis method and device | |
| CN115905319B (en) | Automatic identification method and system for abnormal electricity fees of massive users | |
| Wang et al. | Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries | |
| Koyuncugil et al. | Early warning system for financially distressed hospitals via data mining application | |
| CN112001551B (en) | Ground and commercial power grid sales electricity quantity prediction method based on large-user electricity quantity information | |
| Ding et al. | LSTM Deep Neural Network Based Power Data Credit Tagging Technology. | |
| CN111967980A (en) | System and method for bank credit analysis by adopting maximum entropy model based on enterprise financial and newspaper and energy consumption data | |
| CN110689241A (en) | Power grid physical asset evaluation system based on big data | |
| CN112214536A (en) | Enterprise account data real-time import management system | |
| Li et al. | LSTM Deep Neural Network Based Power Data Credit Tagging Technology | |
| Zhang | Application of data mining technology in financial risk management | |
| WO2024007094A1 (en) | User utility bill payment analysis method based on clustering algorithm and tsvm model | |
| Ali | Effects of business intelligence on the continuous auditing process |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201222 |