CN206340050U - A kind of big customer's arrearage early warning system - Google Patents
A kind of big customer's arrearage early warning system Download PDFInfo
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- CN206340050U CN206340050U CN201621351202.1U CN201621351202U CN206340050U CN 206340050 U CN206340050 U CN 206340050U CN 201621351202 U CN201621351202 U CN 201621351202U CN 206340050 U CN206340050 U CN 206340050U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Abstract
The utility model discloses a kind of big customer's arrearage early warning system, the Electricity customers network data handling module developed including power supply enterprise's built-in system data module and based on Python, described Electricity customers network data handling module is data grabber reptile unit, and power supply enterprise's built-in system data module is made up of the metering system electric quantity data unit being connected with data grabber reptile unit, the marketing system electricity charge data cell being connected with metering system electric quantity data unit；Also include the electric client's arrears risk assessment result unit being connected respectively with data grabber reptile unit, metering system electric quantity data unit and marketing system electricity charge data cell.The network data related to Electricity customers is mainly developed by Python and captures reptile, utilize the media data and combination metering system electric quantity data unit, marketing system electricity charge data cell grabbed, arrears risk assessment is carried out to Electricity customers, Electricity customers arrears risk assessment result is provided.
Description
Technical field
The utility model is related to a kind of construction applications of early warning, more particularly to a kind of based on Python crawls and Electricity customers
Technology about media data, by power supply administration's electric quantity data and electricity charge data and media data arrearage wind is carried out to big customer
Big customer's arrearage early warning system that danger is assessed.
Background technology
At present, with economic growth slows down, with the lifting of artificial and every cost, with external environment competitive pressure
Increase, current many factories and trade company living environment causes anxiety, the risk for bankruptcy of facing collapse.And these factories and trade company are good
Many is all the big customer of electricity consumption, once there is operation and are not good at boss running away, break, break one's word, to power supply unit in them
Influence will be great, it will lead to not reclaim the electricity charge.But, existing power supply enterprise can not to large user's arrearage behavior
Prior early warning is done, is typically all after arrearage behavior generation, to carry out electricity charge recovery afterwards, being easily caused the electricity charge can not be normal
Reclaim, tariff recovery risk can be usually brought to power supply enterprise.In order to give warning in advance, electricity consumption big customer is kept due to break, not
Credit or other reasonses lead to not the situation for reclaiming the electricity charge, urge expense ahead of time before risk occurs, reduce loss, it is necessary to develop
Big customer's arrearage early warning system is used as the effect assessed with early warning.
The content of the invention
The purpose of this utility model is that there is provided a kind of big customer's arrearage early warning system in order to overcome the shortcoming of above-mentioned prior art
System, big customer's arrearage early warning system is external：Platform is captured using network data, such as media data captures analysis, such as method automatically
Institute's data, credit website data etc..The related data of big customer in the network media is captured, is then analyzed, potential owe is found out
The large user for taking risk；Internally：Analysis point is carried out based on metering automation system power consumption data and marketing electricity charge data
Analysis, is analyzed with reference to history defaulting subscriber's electricity feature, paying electric charge feature and actual conditions, using analysis result as most
There is provided the user's inventory for having deficient electricity charge possibility for one option of whole risk analysis.Mainly pass through Python exploitations and electricity consumption
The related network data crawl reptile of client, using the media data grabbed and combine metering system electric quantity data unit,
Electricity customers are carried out arrears risk assessment, provide Electricity customers arrears risk assessment result by marketing system electricity charge data cell.
The utility model solves the technical scheme that its technical problem used：A kind of big customer's arrearage early warning system, bag
Include power supply enterprise's built-in system data module and the Electricity customers network data handling module developed based on Python, described use
Electric customer network data capture module be data grabber reptile unit, power supply enterprise's built-in system data module by with data grabber
The metering system electric quantity data unit of reptile unit connection, the marketing system electricity charge number being connected with metering system electric quantity data unit
Constituted according to unit；Also include and data grabber reptile unit, metering system electric quantity data unit and marketing system electricity charge data
Electric client's arrears risk assessment result unit that unit is connected respectively.
The data grabber reptile unit, for the network data crawl journey on Electricity customers developed with Python
Cell module formed by sequence.
The metering system electric quantity data unit, the user's electric quantity data got from power supply enterprise's metering automation system
And form cell module, the part assessed as arrears risk.
The marketing system electricity charge data cell, the demand charge data got from power supply enterprise's marketing system are simultaneously formed
Cell module, the part assessed as arrears risk.
Further, described Electricity customers network data handling module also includes integrated network media data units.
Described electric client's arrears risk assessment result unit, is referred to according to integrated network media data units, metering
Data sheet formed by the arrears risk value for the Electricity customers that system charge data cell, marketing system electricity charge data cell are provided
Electricity customers are carried out arrears risk assessment, provide Electricity customers arrears risk assessment result value by member.
In summary, big customer's arrearage early warning system of the present utility model is external：Platform, such as matchmaker are captured using network data
Volume data captures analysis, such as law court's data, credit website data automatically.The related data of big customer in the network media is captured,
Then analyzed, find out the large user of potential arrears risk；Internally：Based on metering automation system power consumption data and marketing
Electricity charge data carry out analysis analysis, enter with reference to history defaulting subscriber's electricity feature, paying electric charge feature and actual conditions
Row analysis, there is provided the user's inventory for having deficient electricity charge possibility for the option that analysis result is analyzed as ultimate risk.Mainly
It is to develop the network data related to Electricity customers by Python to capture reptile, utilizes the media data and combination grabbed
Electricity customers are carried out arrears risk assessment, provide electricity consumption by metering system electric quantity data unit, marketing system electricity charge data cell
Client's arrears risk assessment result.
Brief description of the drawings
Fig. 1 is the structure connection block diagram of big customer's arrearage early warning system of the utility model embodiment 1.
Embodiment
Embodiment 1
A kind of big customer's arrearage early warning system described by the present embodiment 1, as shown in figure 1, including being inside power supply enterprise
Data module 1 of uniting and the Electricity customers network data handling module 2 developed based on Python, described Electricity customers network data
Handling module is data grabber reptile unit 3, and power supply enterprise's built-in system data module with data grabber reptile unit by being connected
Metering system electric quantity data unit 4,5 groups of marketing system electricity charge data cell being connected with metering system electric quantity data unit
Into；Also include and distinguish with data grabber reptile unit, metering system electric quantity data unit and marketing system electricity charge data cell
Electric client's arrears risk assessment result unit 6 of connection.
The data grabber reptile unit, for the network data crawl journey on Electricity customers developed with Python
Cell module formed by sequence.
The metering system electric quantity data unit, the user's electric quantity data got from power supply enterprise's metering automation system
And form cell module, the part assessed as arrears risk.
The marketing system electricity charge data cell, the demand charge data got from power supply enterprise's marketing system are simultaneously formed
Cell module, the part assessed as arrears risk.
The Electricity customers network data handling module also includes integrated network media data units 7.
Described electric client's arrears risk assessment result unit, is referred to according to integrated network media data units, metering
Data sheet formed by the arrears risk value for the Electricity customers that system charge data cell, marketing system electricity charge data cell are provided
Electricity customers are carried out arrears risk assessment, provide Electricity customers arrears risk assessment result value by member.The assessment result such as drawn
Value is not D, then need not carry out urging expense.The assessment result value such as drawn is D, then needs progress to urge expense.
The above, is only preferred embodiment of the present utility model, not makees any to structure of the present utility model
Formal limitation.It is every any simple modification made according to technical spirit of the present utility model to above example, equivalent
Change and modification, in the range of still falling within the technical solution of the utility model.
Claims (2)
1. a kind of big customer's arrearage early warning system, it is characterised in that including power supply enterprise's built-in system data module and be based on
The Electricity customers network data handling module of Python exploitations, described Electricity customers network data handling module is data grabber
Reptile unit, power supply enterprise's built-in system data module is by the metering system electric quantity data list that is connected with data grabber reptile unit
Member, the marketing system electricity charge data cell being connected with metering system electric quantity data unit composition；Also include and climbed with data grabber
Electric client's arrears risk that worm unit, metering system electric quantity data unit and marketing system electricity charge data cell are connected respectively is assessed
As a result unit.
2. a kind of big customer's arrearage early warning system according to claim 1, it is characterised in that described Electricity customers network
Data capture module also includes integrated network media data units.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201621351202.1U CN206340050U (en) | 2016-12-10 | 2016-12-10 | A kind of big customer's arrearage early warning system |
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| CN201621351202.1U CN206340050U (en) | 2016-12-10 | 2016-12-10 | A kind of big customer's arrearage early warning system |
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| CN206340050U true CN206340050U (en) | 2017-07-18 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108961036A (en) * | 2018-06-13 | 2018-12-07 | 云南电网有限责任公司昆明供电局 | Electric power arrears risk prediction technique and device |
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2016
- 2016-12-10 CN CN201621351202.1U patent/CN206340050U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108961036A (en) * | 2018-06-13 | 2018-12-07 | 云南电网有限责任公司昆明供电局 | Electric power arrears risk prediction technique and device |
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