CN112561591A - Intelligent settlement method and device for energy electronic bill - Google Patents
Intelligent settlement method and device for energy electronic bill Download PDFInfo
- Publication number
- CN112561591A CN112561591A CN202011518857.4A CN202011518857A CN112561591A CN 112561591 A CN112561591 A CN 112561591A CN 202011518857 A CN202011518857 A CN 202011518857A CN 112561591 A CN112561591 A CN 112561591A
- Authority
- CN
- China
- Prior art keywords
- energy
- data
- settlement
- electronic bill
- verification
- 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
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000012795 verification Methods 0.000 claims abstract description 44
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 28
- 238000007726 management method Methods 0.000 claims abstract description 17
- 238000013524 data verification Methods 0.000 claims abstract description 9
- 238000012937 correction Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims description 22
- 230000001915 proofreading effect Effects 0.000 claims description 20
- 238000004458 analytical method Methods 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 4
- 238000004146 energy storage Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 9
- 230000005611 electricity Effects 0.000 description 8
- 238000004590 computer program Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 238000012790 confirmation Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 238000007599 discharging Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005485 electric heating Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000009466 transformation 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Finance (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Accounting & Taxation (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides a method and a device for intelligently settling energy electronic bills, which are used for settling fees of a source network charge storage cooperative system, and energy settlement data is acquired and comprises the following steps: the energy management method comprises the following steps of automatically acquiring energy data of a meter installed in an energy project, picture information of the meter installed in the energy project, power distribution operation data, historical data and related influence indexes; performing automatic data verification and identification on the energy settlement data by adopting threshold verification and artificial intelligence verification to obtain energy data subjected to intelligent identification and correction; and generating a corresponding energy electronic bill according to the intelligently identified and corrected energy data. According to the method and the device, the energy settlement data are intelligently verified in a multi-mode manner, so that economic disputes caused by error data generation are avoided, the working efficiency is improved, the labor cost is reduced, the problems of the source network load and storage cooperative system in the prior art are solved, and the higher requirements of users are met.
Description
Technical Field
The application relates to the technical field of source network charge-storage cooperative systems, in particular to an intelligent settlement method and device for an energy electronic bill, which are used for settlement of charges of the source network charge-storage cooperative system.
Background
With the development of clean new energy such as wind power, photovoltaic and the like, the energy structure is changed, the intermittent power generation of renewable energy and the load peak-valley effect are intensified, and the peak regulation pressure of a power grid and the difficulty of scheduling work are improved. In order to reduce the peak regulation pressure of a power grid and the difficulty of scheduling work, along with the development of technologies such as big data, the Internet of things, cloud computing and mobile intelligence, a source grid load storage cooperative system is provided, the peak regulation problem of the power grid can be solved, the sustainable development of various scenes can be promoted, and the consumption of new energy can be effectively promoted.
However, the settlement of project fees of the existing source network load-store collaborative system has the following problems: 1) the existing active network load storage project is usually that a sponsor and a user directly trade energy cost, no third party fair authentication exists, disputes often occur, the contract management period is long, and the normal operation of the project is influenced; 2) the existing energy cost bill of the active network charge storage project is generally input manually, two persons are required to confirm on site, time, labor and labor are wasted, and disputes are easy to occur; 3) the existing source network stored project energy transaction data are opaque, a fair third party does not confirm the economic operation condition of the project, fair expense settlement information does not exist, project assets cannot be reasonably evaluated, and the new energy industry and the healthy development of the market are not facilitated; 4) the charge settlement of the existing source network storage project involves an investor and a user party, the investor and a national network power supply party, and data is related but services are not coupled; 5) the existing active network load storage project automatically uploaded or manually input data is easy to generate bill data errors due to network communication software and hardware faults or human errors, and large economic accidents are caused.
Disclosure of Invention
The application provides an intelligent settlement method and device for an energy electronic bill, which are used for settlement of expenses of a source network charge-storage cooperative system, and are used for solving the problems of the source network charge-storage cooperative system in the prior art, so that higher requirements of users are met.
In order to achieve the above object, the present application provides the following technical solutions:
an intelligent settlement method for an energy electronic bill comprises the following steps:
obtaining energy settlement data, the energy settlement data comprising: the energy management method comprises the following steps of automatically acquiring energy data of a meter installed in an energy project, picture information of the meter installed in the energy project, power distribution operation data, historical data and related influence indexes;
performing automatic data verification and identification on the energy settlement data by adopting threshold verification and artificial intelligence verification to obtain energy data subjected to intelligent identification and correction;
and generating a corresponding energy electronic bill according to the intelligently identified and corrected energy data.
Preferably, the energy settlement data is automatically verified and identified by adopting threshold verification to obtain the energy data after intelligent identification and verification, and the method specifically comprises the following steps:
judging whether the energy settlement data has data errors through upper and lower threshold limits to obtain the energy data subjected to intelligent identification and proofreading, wherein the data errors comprise: magnification selection error, decimal point shift or data run-off.
Preferably, the determining whether the energy settlement data has data errors by using upper and lower threshold limits specifically includes:
checking whether the data are different by using block chain uplink information, and checking the block chain information;
and automatically extracting the numerical range of the energy data of the bill period through the contract data information on the block chain, determining whether the scale and the capacity set by the contract per se are exceeded, and performing contract threshold value proofreading.
Preferably, the energy settlement data is automatically verified and identified by adopting artificial intelligence verification to obtain the energy data after intelligent identification and verification, and the method specifically comprises the following steps:
and judging whether the energy settlement data has data faults or not through big data artificial intelligence analysis to obtain the energy data after intelligent identification and proofreading.
Preferably, the step of determining whether the energy settlement data has a data fault through big data artificial intelligence analysis specifically includes:
calculating to obtain power distribution energy settlement data by collecting the power distribution data information of a user, and determining that a data fault exists when a deviation value of the power distribution energy settlement data and the energy settlement data is greater than a set value;
and correcting the energy settlement data through the historical data information and the related influence indexes, predicting the energy settlement data and analyzing whether data faults exist in the energy settlement data or not.
Preferably, the generating of the corresponding energy electronic bill according to the energy data subjected to the intelligent identification and the proofreading specifically includes:
and assigning the intelligently identified and corrected energy data on a preset energy electronic bill template, and automatically generating the energy electronic bill by the preset energy electronic bill template.
An energy electronic bill intelligent settlement device comprises:
a first processing unit configured to obtain energy settlement data, the energy settlement data including: the energy management method comprises the following steps of automatically acquiring energy data of a meter installed in an energy project, picture information of the meter installed in the energy project, power distribution operation data, historical data and related influence indexes;
the second processing unit is used for carrying out automatic data verification and identification on the energy settlement data by adopting threshold value verification and artificial intelligence verification to obtain energy data subjected to intelligent identification and verification;
and the third processing unit is used for generating a corresponding energy electronic bill according to the energy data subjected to intelligent identification and proofreading.
Preferably, the third processing unit is specifically configured to:
and assigning the intelligently identified and corrected energy data on a preset energy electronic bill template, and automatically generating the energy electronic bill by the preset energy electronic bill template.
A storage medium comprising a stored program, wherein when the program runs, a device where the storage medium is located is controlled to execute the intelligent settlement method for the energy electronic bill.
An electronic device comprising at least one processor, and at least one memory, bus connected with the processor; the processor and the memory complete mutual communication through the bus; the processor is used for calling the program instructions in the memory so as to execute the intelligent settlement method for the energy electronic bill.
The application provides a method and a device for intelligently settling energy electronic bills, which are used for settling fees of a source network charge storage cooperative system, and energy settlement data is acquired and comprises the following steps: the energy management method comprises the following steps of automatically acquiring energy data of a meter installed in an energy project, picture information of the meter installed in the energy project, power distribution operation data, historical data and related influence indexes; performing automatic data verification and identification on the energy settlement data by adopting threshold verification and artificial intelligence verification to obtain energy data subjected to intelligent identification and correction; and generating a corresponding energy electronic bill according to the intelligently identified and corrected energy data. According to the method and the device, the energy settlement data are intelligently verified in a multi-mode manner, so that economic disputes caused by error data generation are avoided, the working efficiency is improved, the labor cost is reduced, the problems of the source network load and storage cooperative system in the prior art are solved, and the higher requirements of users are met.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an intelligent energy electronic bill settlement method according to an embodiment of the present disclosure;
fig. 2 is a flowchart illustrating intelligent settlement of an energy electronic bill according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of an energy electronic bill commonly used in a source network charge and storage coordination system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an intelligent settlement device for an energy electronic bill according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The application provides an energy electronic bill intelligent settlement method and device, and aims to: the method is used for the charge settlement of the source network charge-storage cooperative system, and is used for solving the problems of the source network charge-storage cooperative system in the prior art, so that the higher requirements of users are met.
The source grid load storage cooperative system is mainly characterized in that a plurality of optimization means, system tools and information interaction means are adopted, the purposes of enriching controllable resources and optimizing cooperative strategies are achieved, a distributed power source, flexible loads (electric vehicles, electric heating, intelligent air conditioners and the like), energy storage and the like are brought into the power grid scheduling optimization and control range, the load elasticity and time elasticity performance of the system are fully applied, the distributed power source is optimally controlled to generate electricity, the flexible loads are optimally controlled to use electricity, energy storage charging and discharging are optimally controlled, intelligent interaction of various power sources, loads and the power grid is realized, and the safe stable operation capacity, the resource optimal configuration capacity and the clean energy consumption capacity of the power system are integrally improved.
The problem that this application will be solved mainly includes: 1) the energy cost settlement technology for automatically uploading and intelligently checking the energy cost data of the source network charge and storage project avoids data errors of human or network communication and the like, improves the working efficiency and reduces the personnel cost; 2) the method provides fair energy cost settlement data for the source network storage project, avoids disputes and provides important reference data for project operation and asset evaluation; 3) the multi-party interactive energy cost bill based on the contract energy management mode is provided for the source network charge storage project, and the bill structure is simple and clear; 4) providing a charge and discharge fee based on peak-valley time-of-use electricity price and a fee bill for demand electricity fee management for an energy storage project of source network charge storage; 5) and providing an electronic bill based on a block chain technology for energy storage items of source network charge storage, wherein the data uplink can not be tampered.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
Referring to fig. 1, a schematic flow chart of an intelligent energy electronic bill settlement method provided in the embodiment of the present application is shown. As shown in fig. 1, the method for intelligently settling an energy electronic bill provided in the embodiment of the present application specifically includes the following steps:
s101: and acquiring energy settlement data.
In an embodiment of the application, the energy settlement data includes: the energy project monitoring system comprises energy data automatically acquired by meters installed in energy projects, picture information of the meters installed in the energy projects, power distribution operation data, historical data and relevant influence indexes.
It should be noted that the data source part of the energy bill generated under the source network load storage cooperative system architecture is divided into an automatic acquisition part and a manual photographing and uploading part.
In practical application, the automatic acquisition part acquires energy data through a data acquisition uploading unit, namely, a meter installed on a source project automatically acquires the energy data, the energy data are encrypted and transmitted through an internet of things gateway and uploaded to a cloud platform through a network to enter a settlement data unit. The manual photographing uploading part is acquired by inputting the manual photographing uploading unit, and when any hardware or software link in the data acquisition uploading unit is in a problem, the energy data cannot be uploaded to the cloud platform, and then an alternative scheme is adopted: and manually photographing field meter data and manually inputting the meter data to upload to the cloud platform.
S102: and automatically verifying and identifying the data of the energy settlement data by adopting threshold verification and artificial intelligence verification to obtain the energy data subjected to intelligent identification and correction.
In the embodiment of the application, the collected energy settlement data is automatically verified and identified by adopting threshold value verification and artificial intelligence verification, so that the fault data is prevented from entering a bill system.
It should be noted that, the above automatic verification and identification of data is performed on the energy settlement data by using threshold verification, so as to obtain the energy data after intelligent identification and verification, specifically: judging whether the energy settlement data has data errors through upper and lower threshold limits to obtain the energy data subjected to intelligent identification and proofreading, wherein the data errors comprise: magnification selection error, decimal point shift or data run-off.
In practical application, the threshold check is divided into the following two links: checking block chain information: verifying whether the data are different by using the block chain uplink information; contract threshold extraction: the numerical range of the energy data of the bill period is automatically extracted through contract data information on the chain, and the scale and the capacity set by the contract per se cannot be exceeded.
Specifically, the determining whether the energy settlement data has a data error through the upper and lower thresholds may specifically include:
checking whether the data are different by using block chain uplink information, and checking the block chain information;
and automatically extracting the numerical range of the energy data of the bill period through the contract data information on the block chain, determining whether the scale and the capacity set by the contract per se are exceeded, and performing contract threshold value proofreading.
It should be noted that, the automatic verification and identification of data are performed on the energy settlement data by adopting artificial intelligence verification, so as to obtain the energy data after intelligent identification and verification, specifically: and judging whether the energy settlement data has data faults or not through big data artificial intelligence analysis to obtain the energy data after intelligent identification and proofreading. Namely, the artificial intelligence check judges whether the uploaded energy data has data faults or not through big data artificial intelligence analysis, so that alarm information is given, and a user is prompted to find a fault point and modify errors.
In practical application, the artificial intelligence check is divided into the following two parts: power distribution data: the method comprises the steps that energy project electric energy data are automatically back-calculated by collecting other power distribution data information of a user, when the deviation value of the energy project electric energy data and the automatically uploaded energy data is larger than a certain set value, data early warning is carried out, whether a fault point exists or whether a meter needs to be re-calibrated is prompted, and after the deviation value exceeds the certain set value, a system gives alarm information, and the fault point is prompted to be found and an error is corrected; history data: according to historical big data information, weighted index correction information such as months, weather, user operation conditions, power grid transformation and the like is combined, a plurality of statistical methods, BP neural network analysis and a composite analysis method of dynamic weight factor adjustment are adopted to predict data and analyze whether data faults exist in current energy data or not.
Specifically, the determining whether the energy settlement data has a data fault through big data artificial intelligence analysis may specifically include:
calculating to obtain power distribution energy settlement data by collecting the power distribution data information of a user, and determining that a data fault exists when a deviation value of the power distribution energy settlement data and the energy settlement data is greater than a set value;
and correcting the energy settlement data through the historical data information and the related influence indexes, predicting the energy settlement data and analyzing whether data faults exist in the energy settlement data or not.
S103: and generating a corresponding energy electronic bill according to the intelligently identified and corrected energy data.
It should be noted that, the generating of the corresponding energy electronic bill according to the energy data subjected to the intelligent identification and proofreading specifically includes: and assigning the intelligently identified and corrected energy data on a preset energy electronic bill template, and automatically generating the energy electronic bill by the preset energy electronic bill template.
In order to illustrate the energy electronic bill generation process, in the embodiment of the present application, the source network charge storage coordination system may be used as a software management platform, where the software management platform includes a platform management party, a first party investor and a second party consumer, and an intelligent settlement process needs to be specifically illustrated for the energy electronic bill generation confirmation process, as shown in fig. 2, the intelligent settlement process is mainly described for the energy electronic bill settlement process:
1) contract management: the platform management side platform is provided with an energy project contract energy management three-party contract template, the supplier of the first party and the power supplier of the second party fill contract information on the contract template to generate a contract text, the contract information is confirmed on the platform by the supplier and the power supplier, and finally the chain is transmitted to store the certificate. 2) Meter data: the gateway meter data of the energy project are automatically uploaded to the data platform through the internet of things gateway, the energy settlement data are confirmed after the platform artificial intelligence data are verified, and the chain is transmitted to the data platform for evidence storage. 3) Confirming the settlement bill: after the energy electronic bill is generated, the bill can be determined after the confirmation of the investor and the power consumer, and then the cochain deposit is carried out. 4) And (3) invoice confirmation: the supplier makes a charge invoice according to the energy electronic bill and inputs the charge invoice into the platform, and the consumer confirms receipt on the platform after receiving the invoice and then carries out chain loading and certificate storage. 5) And (4) payment: the power consumer pays the fee according to the energy electronic bill invoice, and the investor confirms receipt on the platform after receiving the fund and then carries out chain loading and certificate storage. 6) And (3) clearing the power grid: if the residual electricity is on line or the stored energy is interacted with the power grid, the chain link certificate storage is carried out on the settlement invoice between the energy project and the power grid.
As can be seen from fig. 2, the bill confirmation process provided by the embodiment of the present application has strict and clear design, and can simply and efficiently realize the confirmation of the bill information.
Further, it should be noted that, as shown in fig. 3, a schematic diagram of an energy electronic bill for a source network charge-storage coordination system provided in the embodiment of the present application is provided. To illustrate the general form of energy electronic billing, the table features are described in detail: electronic bill two-dimensional code: the two-dimensional code recognition technology is arranged at the upper right corner of the electronic bill, and data and authenticity of the electronic bill can be inquired and recognized through the mobile phone terminal. Block chain hash value: and the hash value is placed at the head of the electronic bill and used for hash retrieval of the electronic bill, and the data and the authenticity of the electronic bill are identified in multiple ways. Information of the investor: the electronic bill displays the information of the electric meter and the company of the power consumption party and also displays the information of the electric meter and the company of the energy project supplier. Source network load storage collaboration system platform information: the electronic bill form tail displays relevant information of a source network load storage cooperative system platform side, and represents that electronic bill data has real, reliable and fair data characteristics. Energy storage information: the electronic bill displays the energy storage charging and discharging information of the client side, the charging and discharging electric quantity and the electric charge result of the stored energy are respectively counted by peak electricity price, flat electricity price and valley electricity price, and the charging and discharging information is represented by positive values and negative values. The income sharing proportion information: the electronic bill displays the sharing proportion and the amount of money of the user and the investor according to the contract energy management agreement. Energy storage capacity adjustment information: the energy storage has demand regulation capability and generates value for the user, and the electronic bill shows the benefit generated by the energy storage regulation demand. Subsidy and reward information: energy storage and new energy projects are industries supported by the country, and subsidies and reward money are displayed in the electronic bill. And (3) internet of things integral information: and the source network charge-storage cooperative project is additionally provided with an internet of things device, and the generated internet of things integral is displayed in an electronic bill.
As can be seen from fig. 3, the cost bill provided by the embodiment of the application has a clear design, is suitable for energy utilization characteristics of new application scenarios such as energy storage, and the like, has clear electronic bill form layers and clear and understandable data structures, and enables a platform manager, a party A supplier and a party B power consumer to clearly and concisely know the power utilization condition.
The embodiment of the application provides an intelligent settlement method for an energy electronic bill, which is used for settlement of charges of a source network charge-storage cooperative system, and energy settlement data is acquired and comprises the following steps: the energy management method comprises the following steps of automatically acquiring energy data of a meter installed in an energy project, picture information of the meter installed in the energy project, power distribution operation data, historical data and related influence indexes; performing automatic data verification and identification on the energy settlement data by adopting threshold verification and artificial intelligence verification to obtain energy data subjected to intelligent identification and correction; and generating a corresponding energy electronic bill according to the intelligently identified and corrected energy data. According to the embodiment of the application, the energy settlement data is intelligently verified in a multi-way manner, so that economic disputes caused by error data generation are avoided, the working efficiency is improved, the labor cost is reduced, the problem of the source network load and storage cooperative system in the prior art is solved, and the higher requirements of users are met.
In addition, in the embodiment of the application, the acquired data is stored through the block chain, so that the data is not tamper-proof, and the data security and reliability are improved.
Referring to fig. 4, based on the intelligent settlement method for the energy electronic bill disclosed in the above embodiment, the embodiment correspondingly discloses an intelligent settlement device for the energy electronic bill, which specifically includes:
a first processing unit 401, configured to obtain energy settlement data, where the energy settlement data includes: the energy management method comprises the following steps of automatically acquiring energy data of a meter installed in an energy project, picture information of the meter installed in the energy project, power distribution operation data, historical data and related influence indexes;
the second processing unit 402 is configured to perform automatic data verification and identification on the energy settlement data by using threshold verification and artificial intelligence verification, so as to obtain energy data subjected to intelligent identification and verification;
and a third processing unit 403, configured to generate a corresponding energy electronic bill according to the intelligently identified and corrected energy data.
Preferably, the second processing unit 402 is specifically configured to:
judging whether the energy settlement data has data errors through upper and lower threshold limits to obtain the energy data subjected to intelligent identification and proofreading, wherein the data errors comprise: magnification selection error, decimal point shift or data run-off.
Preferably, the second processing unit 402 is specifically configured to:
checking whether the data are different by using block chain uplink information, and checking the block chain information;
and automatically extracting the numerical range of the energy data of the bill period through the contract data information on the block chain, determining whether the scale and the capacity set by the contract per se are exceeded, and performing contract threshold value proofreading.
Preferably, the second processing unit 402 is specifically configured to:
and judging whether the energy settlement data has data faults or not through big data artificial intelligence analysis to obtain the energy data after intelligent identification and proofreading.
Preferably, the second processing unit 402 is specifically configured to:
calculating to obtain power distribution energy settlement data by collecting the power distribution data information of a user, and determining that a data fault exists when a deviation value of the power distribution energy settlement data and the energy settlement data is greater than a set value;
and correcting the energy settlement data through the historical data information and the related influence indexes, predicting the energy settlement data and analyzing whether data faults exist in the energy settlement data or not.
Preferably, the third processing unit 403 is specifically configured to:
and assigning the intelligently identified and corrected energy data on a preset energy electronic bill template, and automatically generating the energy electronic bill by the preset energy electronic bill template.
The intelligent settlement device for the energy electronic bill comprises a processor and a memory, wherein the first processing unit, the second processing unit, the third processing unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the cost settlement for the source network charge-storage cooperative system is achieved by adjusting the kernel parameters, so that the problems of the source network charge-storage cooperative system in the prior art are solved, and the higher requirements of users are met.
The embodiment of the application provides a storage medium, wherein a program is stored on the storage medium, and when the program is executed by a processor, the intelligent settlement method for the energy electronic bill is realized.
The embodiment of the application provides a processor, wherein the processor is used for running a program, and the intelligent settlement method for the energy electronic bill is executed when the program runs.
An electronic device 50 includes, as shown in fig. 5, at least one processor 501, at least one memory 502 connected to the processor, and a bus 503; the processor 501 and the memory 502 complete communication with each other through the bus 503; the processor 501 is used for calling the program instructions in the memory 502 to execute the intelligent settlement method for the energy electronic bill.
The electronic device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
obtaining energy settlement data, the energy settlement data comprising: the energy management method comprises the following steps of automatically acquiring energy data of a meter installed in an energy project, picture information of the meter installed in the energy project, power distribution operation data, historical data and related influence indexes;
performing automatic data verification and identification on the energy settlement data by adopting threshold verification and artificial intelligence verification to obtain energy data subjected to intelligent identification and correction;
and generating a corresponding energy electronic bill according to the intelligently identified and corrected energy data.
Preferably, the energy settlement data is automatically verified and identified by adopting threshold verification to obtain the energy data after intelligent identification and verification, and the method specifically comprises the following steps:
judging whether the energy settlement data has data errors through upper and lower threshold limits to obtain the energy data subjected to intelligent identification and proofreading, wherein the data errors comprise: magnification selection error, decimal point shift or data run-off.
Preferably, the determining whether the energy settlement data has data errors by using upper and lower threshold limits specifically includes:
checking whether the data are different by using block chain uplink information, and checking the block chain information;
and automatically extracting the numerical range of the energy data of the bill period through the contract data information on the block chain, determining whether the scale and the capacity set by the contract per se are exceeded, and performing contract threshold value proofreading.
Preferably, the energy settlement data is automatically verified and identified by adopting artificial intelligence verification to obtain the energy data after intelligent identification and verification, and the method specifically comprises the following steps:
and judging whether the energy settlement data has data faults or not through big data artificial intelligence analysis to obtain the energy data after intelligent identification and proofreading.
Preferably, the step of determining whether the energy settlement data has a data fault through big data artificial intelligence analysis specifically includes:
calculating to obtain power distribution energy settlement data by collecting the power distribution data information of a user, and determining that a data fault exists when a deviation value of the power distribution energy settlement data and the energy settlement data is greater than a set value;
and correcting the energy settlement data through the historical data information and the related influence indexes, predicting the energy settlement data and analyzing whether data faults exist in the energy settlement data or not.
Preferably, the generating of the corresponding energy electronic bill according to the energy data subjected to the intelligent identification and the proofreading specifically includes:
and assigning the intelligently identified and corrected energy data on a preset energy electronic bill template, and automatically generating the energy electronic bill by the preset energy electronic bill template.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An intelligent settlement method for an energy electronic bill is characterized by comprising the following steps:
obtaining energy settlement data, the energy settlement data comprising: the energy management method comprises the following steps of automatically acquiring energy data of a meter installed in an energy project, picture information of the meter installed in the energy project, power distribution operation data, historical data and related influence indexes;
performing automatic data verification and identification on the energy settlement data by adopting threshold verification and artificial intelligence verification to obtain energy data subjected to intelligent identification and correction;
and generating a corresponding energy electronic bill according to the intelligently identified and corrected energy data.
2. The method according to claim 1, wherein the automatic verification and identification of data is performed on the energy settlement data by using threshold verification, so as to obtain the energy data subjected to intelligent identification and verification, and specifically comprises:
judging whether the energy settlement data has data errors through upper and lower threshold limits to obtain the energy data subjected to intelligent identification and proofreading, wherein the data errors comprise: magnification selection error, decimal point shift or data run-off.
3. The method according to claim 2, wherein the determining whether the energy settlement data has data errors through upper and lower threshold limits is specifically:
checking whether the data are different by using block chain uplink information, and checking the block chain information;
and automatically extracting the numerical range of the energy data of the bill period through the contract data information on the block chain, determining whether the scale and the capacity set by the contract per se are exceeded, and performing contract threshold value proofreading.
4. The method according to claim 1, wherein the energy settlement data is automatically verified and identified by artificial intelligence verification to obtain energy data after intelligent identification verification, and the method specifically comprises the following steps:
and judging whether the energy settlement data has data faults or not through big data artificial intelligence analysis to obtain the energy data after intelligent identification and proofreading.
5. The method according to claim 4, wherein the step of determining whether the energy settlement data has data failure through big data artificial intelligence analysis comprises the following steps:
calculating to obtain power distribution energy settlement data by collecting the power distribution data information of a user, and determining that a data fault exists when a deviation value of the power distribution energy settlement data and the energy settlement data is greater than a set value;
and correcting the energy settlement data through the historical data information and the related influence indexes, predicting the energy settlement data and analyzing whether data faults exist in the energy settlement data or not.
6. The method according to claim 1, wherein the generating of the corresponding energy electronic bill according to the intelligently identified and collated energy data includes:
and assigning the intelligently identified and corrected energy data on a preset energy electronic bill template, and automatically generating the energy electronic bill by the preset energy electronic bill template.
7. An energy electronic bill intelligent settlement device is characterized by comprising:
a first processing unit configured to obtain energy settlement data, the energy settlement data including: the energy management method comprises the following steps of automatically acquiring energy data of a meter installed in an energy project, picture information of the meter installed in the energy project, power distribution operation data, historical data and related influence indexes;
the second processing unit is used for carrying out automatic data verification and identification on the energy settlement data by adopting threshold value verification and artificial intelligence verification to obtain energy data subjected to intelligent identification and verification;
and the third processing unit is used for generating a corresponding energy electronic bill according to the energy data subjected to intelligent identification and proofreading.
8. The apparatus according to claim 7, wherein the third processing unit is specifically configured to:
and assigning the intelligently identified and corrected energy data on a preset energy electronic bill template, and automatically generating the energy electronic bill by the preset energy electronic bill template.
9. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, a device where the storage medium is located is controlled to execute the intelligent settlement method for the energy electronic bill according to any one of claims 1 to 6.
10. An electronic device comprising at least one processor, and at least one memory, bus connected to the processor; the processor and the memory complete mutual communication through the bus; the processor is used for calling the program instructions in the memory to execute the intelligent settlement method for the energy electronic bill according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011518857.4A CN112561591A (en) | 2020-12-21 | 2020-12-21 | Intelligent settlement method and device for energy electronic bill |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011518857.4A CN112561591A (en) | 2020-12-21 | 2020-12-21 | Intelligent settlement method and device for energy electronic bill |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112561591A true CN112561591A (en) | 2021-03-26 |
Family
ID=75031627
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011518857.4A Pending CN112561591A (en) | 2020-12-21 | 2020-12-21 | Intelligent settlement method and device for energy electronic bill |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112561591A (en) |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102419834A (en) * | 2011-09-24 | 2012-04-18 | 山西太钢不锈钢股份有限公司 | Enterprise energy settlement system |
| CN108614507A (en) * | 2018-04-25 | 2018-10-02 | 华翔翔能电气股份有限公司 | Intelligent energy management method and intelligent terminal |
| CN109118386A (en) * | 2018-08-29 | 2019-01-01 | 昆明电力交易中心有限责任公司 | A kind of electricity power enterprise's electricity marketization clearing check system and method |
| CN109191199A (en) * | 2018-08-27 | 2019-01-11 | 国网能源研究院有限公司 | Distributed energy charge settlement system and method based on block chain |
| CN110135612A (en) * | 2018-07-05 | 2019-08-16 | 国网江苏省电力有限公司物资分公司 | The monitoring of material supply quotient's production capacity and abnormity early warning method based on analysis of electric power consumption |
| WO2020042129A1 (en) * | 2018-08-31 | 2020-03-05 | Powerchaintech Beijing Company | Systems and methods for blockchain-based energy grid transaction |
| CN110930034A (en) * | 2019-11-22 | 2020-03-27 | 广东电力交易中心有限责任公司 | Electric power spot market settlement metering data verification method, device and medium |
| CN110956476A (en) * | 2019-12-17 | 2020-04-03 | 江苏扬子易联智能软件有限公司 | Method and platform for realizing GMP/GSP automatic supervision based on block chain |
| CN111080017A (en) * | 2019-12-20 | 2020-04-28 | 河南中睿和能源科技有限公司 | Electricity selling business integrated service system with electric quantity prediction function |
| CN111090890A (en) * | 2020-03-19 | 2020-05-01 | 国网电子商务有限公司 | New energy power utilization data processing method and device based on block chain and participating node |
| CN111160880A (en) * | 2019-12-10 | 2020-05-15 | 国网天津市电力公司 | Block chain-based industrial user demand response-oriented transaction settlement control method |
| CN111177758A (en) * | 2019-12-27 | 2020-05-19 | 国网上海市电力公司 | Distributed photovoltaic settlement method and system based on block chain |
| KR102137751B1 (en) * | 2020-01-16 | 2020-07-27 | 주식회사 텔다 | Peer to Peer Energy Trading Method and System by using Machine learning Algorithm built-in Energy Agent |
| CN111882273A (en) * | 2020-07-20 | 2020-11-03 | 上海东普信息科技有限公司 | Service charge settlement method, device, equipment and storage medium based on block chain |
| CN112084379A (en) * | 2019-05-27 | 2020-12-15 | 高新兴科技集团股份有限公司 | Network electric charge auditing method and device, storage medium and electronic equipment |
-
2020
- 2020-12-21 CN CN202011518857.4A patent/CN112561591A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102419834A (en) * | 2011-09-24 | 2012-04-18 | 山西太钢不锈钢股份有限公司 | Enterprise energy settlement system |
| CN108614507A (en) * | 2018-04-25 | 2018-10-02 | 华翔翔能电气股份有限公司 | Intelligent energy management method and intelligent terminal |
| CN110135612A (en) * | 2018-07-05 | 2019-08-16 | 国网江苏省电力有限公司物资分公司 | The monitoring of material supply quotient's production capacity and abnormity early warning method based on analysis of electric power consumption |
| CN109191199A (en) * | 2018-08-27 | 2019-01-11 | 国网能源研究院有限公司 | Distributed energy charge settlement system and method based on block chain |
| CN109118386A (en) * | 2018-08-29 | 2019-01-01 | 昆明电力交易中心有限责任公司 | A kind of electricity power enterprise's electricity marketization clearing check system and method |
| WO2020042129A1 (en) * | 2018-08-31 | 2020-03-05 | Powerchaintech Beijing Company | Systems and methods for blockchain-based energy grid transaction |
| CN112084379A (en) * | 2019-05-27 | 2020-12-15 | 高新兴科技集团股份有限公司 | Network electric charge auditing method and device, storage medium and electronic equipment |
| CN110930034A (en) * | 2019-11-22 | 2020-03-27 | 广东电力交易中心有限责任公司 | Electric power spot market settlement metering data verification method, device and medium |
| CN111160880A (en) * | 2019-12-10 | 2020-05-15 | 国网天津市电力公司 | Block chain-based industrial user demand response-oriented transaction settlement control method |
| CN110956476A (en) * | 2019-12-17 | 2020-04-03 | 江苏扬子易联智能软件有限公司 | Method and platform for realizing GMP/GSP automatic supervision based on block chain |
| CN111080017A (en) * | 2019-12-20 | 2020-04-28 | 河南中睿和能源科技有限公司 | Electricity selling business integrated service system with electric quantity prediction function |
| CN111177758A (en) * | 2019-12-27 | 2020-05-19 | 国网上海市电力公司 | Distributed photovoltaic settlement method and system based on block chain |
| KR102137751B1 (en) * | 2020-01-16 | 2020-07-27 | 주식회사 텔다 | Peer to Peer Energy Trading Method and System by using Machine learning Algorithm built-in Energy Agent |
| CN111090890A (en) * | 2020-03-19 | 2020-05-01 | 国网电子商务有限公司 | New energy power utilization data processing method and device based on block chain and participating node |
| CN111882273A (en) * | 2020-07-20 | 2020-11-03 | 上海东普信息科技有限公司 | Service charge settlement method, device, equipment and storage medium based on block chain |
Non-Patent Citations (1)
| Title |
|---|
| 聂晓涛;杨光宇;陈丹;: "基于区块链技术的智能合约及电费结算机制研究", 科技通报, no. 05, pages 120 - 124 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2022202616B2 (en) | Method and apparatus for facilitating the operation of an on-site energy storage system to co-optimize battery dispatch | |
| Huang et al. | A review of transactive energy systems: Concept and implementation | |
| CN107240002B (en) | Electric power transaction method and device and micro-grid system | |
| Liu et al. | Grid and market services from the edge: Using operating envelopes to unlock network-aware bottom-up flexibility | |
| Lampropoulos et al. | A system perspective to the deployment of flexibility through aggregator companies in the Netherlands | |
| CN107123982B (en) | Power distribution network reliability economic benefit analysis method based on equipment transaction | |
| CN102097832B (en) | Charging and battery replacing monitoring system and method based on internet of things | |
| CN111177758A (en) | Distributed photovoltaic settlement method and system based on block chain | |
| KR102462089B1 (en) | System for distributing profits of renewable energy to residents | |
| Ruz et al. | Overcoming barriers to electrical energy storage: Comparing California and Europe | |
| Ifrim et al. | Properties of energy-price forecasts for scheduling | |
| Nykamp | Integrating renewables in distribution grids | |
| Giordano et al. | Definition of an assessment framework for projects of common interest in the field of smart grids | |
| Loisel et al. | Market evaluation of hybrid wind-storage power systems in case of balancing responsibilities | |
| Guo et al. | Peer-to-peer energy trading and smart contracting platform of community-based virtual power plant | |
| Dunbar et al. | Impact of wind power on arbitrage revenue for electricity storage | |
| Milligan et al. | Wind integration cost and cost-causation | |
| CN112561591A (en) | Intelligent settlement method and device for energy electronic bill | |
| Hu et al. | An optimum bidding strategy of CVPP by interval optimization | |
| Maadani et al. | Analysis of demand-side business opportunities in Iran, as a digital transformation perspective | |
| Rose et al. | A Framework for Readiness Assessments of Utility-Scale Energy Storage | |
| Hovalova et al. | The effects of the introduction of smart grids | |
| Elliott et al. | A Preliminary Assessment of Handprint Methodologies for Information and Communications Technology Grid Management Solutions. Washington, DC: American Council for an Energy-Efficient Economy | |
| Bianchini et al. | Flexibility Management for Industrial Energy Systems | |
| Heydarian-Forushani et al. | A proactive strategy for virtual power plants including multiple private owners equipped with energy storages |
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 |