CN113011853A - Enterprise tax evasion checking method and system based on electricity utilization information of new building - Google Patents

Enterprise tax evasion checking method and system based on electricity utilization information of new building Download PDF

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Publication number
CN113011853A
CN113011853A CN202110332943.4A CN202110332943A CN113011853A CN 113011853 A CN113011853 A CN 113011853A CN 202110332943 A CN202110332943 A CN 202110332943A CN 113011853 A CN113011853 A CN 113011853A
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information
new
new building
enterprise
building
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CN113011853B (en
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张珮明
江瑾
曾瑛
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Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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    • 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
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • 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
    • G06Q40/10—Tax strategies
    • 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
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • 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

Abstract

The invention discloses an enterprise tax evasion checking method and system based on new building plate electricity utilization information, and relates to the technical field of electric power big data application. The method comprises the steps of obtaining enterprise information corresponding to a new building to be tested through a tax decision platform; acquiring new installation work order information corresponding to the enterprise information through a power grid marketing system; acquiring user information and power consumption information of the new building to be tested through a metering master station system; and constructing a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivery probability of the new building to be tested. The invention can collect the data of the electricity consumption time length, the electricity consumption and the like of the user of the newly-built building, combines the information of the new building of the developer, establishes a data analysis model, and judges the delivery condition of each building in the new building, thereby providing the basis for checking the real estate tax evasion for the local tax department.

Description

Enterprise tax evasion checking method and system based on electricity utilization information of new building
Technical Field
The invention relates to the technical field of electric power big data application, in particular to an enterprise tax evasion checking method and system based on new building plate electricity utilization information.
Background
Real estate tax is an important tax source of local governments, and because of the large tax amount, some real estate enterprises delay or defer tax payment time and tax payment amount by various means, for example, accounting for pre-sold house-purchased money so that tax which should be paid immediately becomes current capital, business tax evasion and enterprise income tax; postponing the collection of the corporate income tax for various reasons, such as not clearing, pending, or not having all the merchandising; the tax declaration amount is adjusted at will in the year, the declaration amount is reduced in the first year and the payment is completed at the end of the year; the land value-added tax should be cleared after the development project is completely completed and settled for sale, but partial developers cannot settle for a long time, and the settlement of the whole project cannot be carried out as a result, so that the timely full-term warehousing of the land value-added tax is influenced; the pre-received building sales of the enterprise and even the total collected house sales are not counted, and the income or the circulation outside the account is not counted, so that the business tax and the additional tax of real estate sales are less or not paid; intentionally delaying project completion settlement and completion time and avoiding land increment tax clearing; the above tax evasion means of real estate enterprises are all because the local tax department does not grasp the real estate construction and delivery progress in time, thereby affecting the on-time tax collection.
Disclosure of Invention
The invention aims to provide an enterprise tax evasion checking method and system based on new building information, which are used for collecting data such as power consumption duration and power consumption of a user of a newly-built building, establishing a data analysis model by combining the new building information of a developer and judging the delivery condition of each building in the new building, thereby providing a basis for real estate tax evasion checking for a local tax department.
In order to achieve the purpose, the invention provides an enterprise tax evasion checking method based on new building electricity utilization information, which comprises the following steps: acquiring enterprise information corresponding to the new building to be tested through a tax decision platform; acquiring new installation work order information corresponding to the enterprise information through a power grid marketing system; acquiring user information and power consumption information of the new building to be tested through a metering master station system; and constructing a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivery probability of the new building to be tested.
Preferably, the method further comprises the following steps: encrypting the delivery probability of the new building to be tested to obtain the encrypted delivery probability; and feeding back the encrypted delivery probability to a tax decision platform through a public network communication channel.
Preferably, the building a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivered probability of the new building to be tested includes: and acquiring the finishing time of high-voltage new loading and batch new loading in the new loading work list information according to the new loading work list information, and importing the training model.
Preferably, the building a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivered probability of the new building to be tested includes: and acquiring the power consumption attenuation rate of the high-voltage new installation according to the new installation work list information, and importing the power consumption attenuation rate into the training model.
Preferably, the building a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivered probability of the new building to be tested includes: and acquiring the proportion of the enterprise users and the individual users in the new building to be tested according to the user information, and importing the proportions into the training model.
Preferably, the building a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivered probability of the new building to be tested includes: and acquiring the user occupation ratio of the continuous electricity utilization days of more than 1 month in the new building to be tested according to the electricity utilization information, and importing the user occupation ratio into the training model.
Preferably, the building a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivered probability of the new building to be tested includes: and acquiring the user occupation ratio of the monthly electricity consumption total amount of the new building to be tested which is more than 60 degrees according to the electricity consumption information, and importing the user occupation ratio into the training model.
The invention also provides an enterprise tax evasion checking system based on the new building disk electricity utilization information, which comprises the following steps: the enterprise information acquisition module is used for acquiring enterprise information corresponding to the new building to be detected through the tax decision platform; the new loading information acquisition module is used for acquiring new loading work order information corresponding to the enterprise information through a power grid marketing system; the power information acquisition module is used for acquiring user information and power consumption information of the new building to be tested through the metering master station system; and the delivery probability output module is used for constructing a training model according to the new installation work order information, the user information and the power consumption information and outputting the delivery probability of the new building to be tested.
The invention also provides a computer terminal device comprising one or more processors and a memory. A memory coupled to the processor for storing one or more programs; when executed by the one or more processors, the one or more programs cause the one or more processors to implement the method for auditing enterprise tax evasion based on new building electricity consumption information according to any of the embodiments.
The invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for auditing tax evasion of an enterprise based on the electricity utilization information of the new building floor is implemented according to any one of the embodiments.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides an enterprise tax evasion checking method based on new building electricity utilization information, which comprises the following steps: acquiring enterprise information corresponding to the new building to be tested through a tax decision platform; acquiring new installation work order information corresponding to the enterprise information through a power grid marketing system; acquiring user information and power consumption information of the new building to be tested through a metering master station system; and constructing a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivery probability of the new building to be tested. The invention can collect the data of the electricity consumption time length, the electricity consumption and the like of the user of the newly-built building, combines the information of the new building of the developer, establishes a data analysis model, and judges the delivery condition of each building in the new building, thereby providing the basis for checking the real estate tax evasion for the local tax department.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a communication channel for collecting and analyzing information of power consumption of a new floor according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a communication channel between a smart meter of a new building and a data center of a power grid company according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of an enterprise tax evasion checking method based on new building electricity consumption information according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an enterprise tax evasion checking system based on new building electricity consumption information according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer terminal device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
To check the tax evasion condition of the real estate enterprise by using the electricity consumption information of the new building, firstly, an electricity consumption information acquisition channel and a communication channel between a data analysis result of a power grid company and a tax decision platform are required to be established, so that electricity consumption data of users of the new building can be acquired in real time, and tax evasion checking data of the real estate enterprise can be provided in real time. The enterprise tax evasion checking method based on the new building electricity consumption information provided by the embodiment of the invention is applied to a big data analysis system, the communication channel for acquiring and analyzing the new building electricity consumption information is shown in figure 1, and the communication channel between the intelligent electric meter of the new building and the data center of the power grid company is shown in figure 2.
Referring to fig. 3, fig. 3 is a schematic flow chart of an enterprise tax evasion checking method based on new building electricity consumption information according to an embodiment of the present invention. The enterprise tax evasion checking method based on the new building electricity utilization information provided by the embodiment comprises the following steps of:
and S110, acquiring enterprise information corresponding to the new building to be detected through the tax decision platform.
And S120, acquiring new loading work order information corresponding to the enterprise information through the power grid marketing system.
And S130, acquiring user information and power consumption information of the new building to be measured through the metering master station system.
And S140, constructing a training model according to the newly-installed worksheet information, the user information and the power consumption information, and outputting the delivery probability of the new building to be tested.
In one embodiment, in order to enable the tax decision platform to more timely and quickly acquire the delivered probability of the building, the acquired delivered probability is directly fed back to the tax decision platform for the tax bureau to make a decision. In order to further enhance security, in the data transmission process, the delivery probability of the new building to be tested is encrypted through the encryption module to obtain the encrypted delivery probability, and the encrypted delivery probability is fed back to the tax decision platform through the communication channel of the public network through the communication module. And corresponding data such as real estate companies, value-added tax numbers, building community names, building numbers and the like can be deduced through the electricity utilization addresses of the electricity utilization users, so that the information of the building meter user, the information of the electricity utilization users, the information of the electricity utilization amount (accumulated electricity consumption, electricity utilization month number, average electricity utilization amount) and the like of the electricity utilization users can be deeply analyzed. And further deducing the paid probability of the building, and feeding back the paid probability of the building to the tax decision platform.
In one embodiment, according to the information of the new installation worksheet, the information of the user and the information of the power consumption, a training model is constructed, and the delivered probability of the new building to be tested is output, which comprises the following steps: and acquiring the finishing time of high-voltage new loading and batch new loading in the new loading work list information according to the new loading work list information, and importing a training model. Further, the method also comprises the steps of obtaining the power consumption attenuation rate of the new high-voltage electric appliances according to the information of the work list of the new electric appliances and importing the attenuation rate into a training model. The higher the power consumption attenuation rate of the high-voltage new installation, the longer the completion time of the high-voltage new installation and the batch new installation, and the higher the delivery probability of the building. Feature extraction of the training model may refer to: and associating the high-voltage new installation work order information of the power grid marketing system through the real estate enterprise name, and extracting the high-voltage new installation work order area identification and the line segment identification within 3 years. The method comprises the steps of extracting new work order information of the power grid marketing system in batches within 3 years, and associating the previous high-voltage new work order information through a platform area identifier and a line segment identifier.
In one embodiment, according to the information of the new installation worksheet, the information of the user and the information of the power consumption, a training model is constructed, and the delivered probability of the new building to be tested is output, which comprises the following steps: and acquiring the proportion of enterprise users and individual users in the new building to be tested according to the user information, and importing the proportions into a training model. The lower the proportion of business users of the real estate enterprise, the higher the proportion of individual users, and the greater the probability that the floor has been delivered.
In one embodiment, according to the information of the new installation worksheet, the information of the user and the information of the power consumption, a training model is constructed, and the delivered probability of the new building to be tested is output, which comprises the following steps: and acquiring the user proportion of the new building to be tested with continuous electricity utilization days of more than 1 month according to the electricity consumption information, and importing the user proportion into a training model. The larger the proportion of users with continuous electricity utilization days of more than 1 month is, the higher the delivery probability of the building is.
In one embodiment, according to the information of the new installation worksheet, the information of the user and the information of the power consumption, a training model is constructed, and the delivered probability of the new building to be tested is output, which comprises the following steps: and acquiring the user occupation ratio of the monthly electricity consumption total amount of the new building to be tested which is more than 60 degrees according to the electricity consumption information, and importing the user occupation ratio into a training model. The larger the proportion of the users with the total monthly electricity consumption of more than 60 degrees is, the higher the probability of delivery of the building is.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an enterprise tax evasion checking system based on new building electricity consumption information according to an embodiment of the present invention. The same portions of this embodiment as those of the above embodiments will not be described herein again. The enterprise tax evasion checking system based on new building plate power consumption information that this embodiment provided includes:
and the enterprise information acquisition module 210 is configured to acquire enterprise information corresponding to the new building tray to be detected through the tax decision platform.
And a new loading information obtaining module 220, configured to obtain new loading work order information corresponding to the enterprise information through the power grid marketing system.
And the power information acquisition module 230 is configured to acquire user information and power consumption information of the new building to be measured through the metering master station system.
And the delivery probability output module 240 is used for constructing a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivery probability of the new building to be tested.
For specific limitations of the enterprise tax evasion checking system based on the new building electricity consumption information, reference may be made to the above limitations of the enterprise tax evasion checking method based on the new building electricity consumption information, and details thereof are not repeated herein. All or part of the modules in the enterprise tax evasion checking system based on the electricity utilization information of the new building can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Referring to fig. 5, an embodiment of the invention provides a computer terminal device, which includes one or more processors and a memory. The memory is coupled to the processor and is configured to store one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the method for auditing enterprise tax evasion based on new building electricity consumption information as in any of the above embodiments.
The processor is used for controlling the overall operation of the computer terminal equipment so as to complete all or part of the steps of the enterprise tax evasion checking method based on the electricity utilization information of the new floor. The memory is used to store various types of data to support the operation at the computer terminal device, which data may include, for example, instructions for any application or method operating on the computer terminal device, as well as application-related data. The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
In an exemplary embodiment, the computer terminal Device may be implemented by one or more Application Specific 1 integrated circuits (AS 1C), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components, and is configured to perform the above-mentioned enterprise evasion checking method based on the new-floor electrical information, and achieve the technical effects consistent with the above-mentioned tax method.
In another exemplary embodiment, a computer readable storage medium including program instructions is further provided, and the program instructions when executed by a processor implement the steps of the enterprise tax evasion checking method based on new building electricity utilization information in any one of the above embodiments. For example, the computer readable storage medium may be the memory including program instructions, and the program instructions may be executed by a processor of a computer terminal device to implement the method for checking tax evasion of an enterprise based on new building electricity consumption information, and achieve the technical effects consistent with the method.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (10)

1. An enterprise tax evasion checking method based on new building disk electricity utilization information is characterized by comprising the following steps:
acquiring enterprise information corresponding to the new building to be tested through a tax decision platform;
acquiring new installation work order information corresponding to the enterprise information through a power grid marketing system;
acquiring user information and power consumption information of the new building to be tested through a metering master station system;
and constructing a training model according to the new installation work order information, the user information and the power consumption information, and outputting the delivery probability of the new building to be tested.
2. The method for auditing tax evasion of an enterprise based on new building electricity consumption information of claim 1, further comprising:
encrypting the delivery probability of the new building to be tested to obtain the encrypted delivery probability;
and feeding back the encrypted delivery probability to a tax decision platform through a public network communication channel.
3. The method for auditing tax evasion of an enterprise based on electricity consumption information of a new building according to claim 1, wherein the step of constructing a training model according to the information of the new installation worksheet, the information of the user and the information of the electricity consumption and outputting the delivery probability of the new building to be tested comprises the steps of:
and acquiring the finishing time of high-voltage new loading and batch new loading in the new loading work list information according to the new loading work list information, and importing the training model.
4. The method for auditing tax evasion of an enterprise based on new building electricity consumption information according to claim 3, wherein the step of constructing a training model according to the new installation work order information, the user information and the electricity consumption information and outputting the delivery probability of the new building to be tested comprises the steps of:
and acquiring the power consumption attenuation rate of the high-voltage new installation according to the new installation work list information, and importing the power consumption attenuation rate into the training model.
5. The method for auditing tax evasion of an enterprise based on electricity consumption information of a new building according to claim 1, wherein the step of constructing a training model according to the information of the new installation worksheet, the information of the user and the information of the electricity consumption and outputting the delivery probability of the new building to be tested comprises the steps of:
and acquiring the proportion of the enterprise users and the individual users in the new building to be tested according to the user information, and importing the proportions into the training model.
6. The method for auditing tax evasion of an enterprise based on electricity consumption information of a new building according to claim 1, wherein the step of constructing a training model according to the information of the new installation worksheet, the information of the user and the information of the electricity consumption and outputting the delivery probability of the new building to be tested comprises the steps of:
and acquiring the user occupation ratio of the continuous electricity utilization days of more than 1 month in the new building to be tested according to the electricity utilization information, and importing the user occupation ratio into the training model.
7. The method for auditing tax evasion of an enterprise based on electricity consumption information of a new building according to claim 1, wherein the step of constructing a training model according to the information of the new installation worksheet, the information of the user and the information of the electricity consumption and outputting the delivery probability of the new building to be tested comprises the steps of:
and acquiring the user occupation ratio of the monthly electricity consumption total amount of the new building to be tested which is more than 60 degrees according to the electricity consumption information, and importing the user occupation ratio into the training model.
8. An enterprise tax evasion checking system based on new building disk electricity utilization information is characterized by comprising:
the enterprise information acquisition module is used for acquiring enterprise information corresponding to the new building to be detected through the tax decision platform;
the new loading information acquisition module is used for acquiring new loading work order information corresponding to the enterprise information through a power grid marketing system;
the power information acquisition module is used for acquiring user information and power consumption information of the new building to be tested through the metering master station system;
and the delivery probability output module is used for constructing a training model according to the new installation work order information, the user information and the power consumption information and outputting the delivery probability of the new building to be tested.
9. A computer terminal device, comprising:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method for auditing enterprise tax evasion based on new building electricity consumption information according to any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for auditing evasion of an enterprise based on new building electricity consumption information according to any one of claims 1 to 7.
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Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002150146A (en) * 2000-11-06 2002-05-24 Yoshikatsu Shirota General information management, protection, alteration, transfer, warning, preservation, data collection and analysis center, and self-responsibility system using tow- way communications of information terminal
US20090222320A1 (en) * 2008-02-29 2009-09-03 David Arfin Business model for sales of solar energy systems
CN102714415A (en) * 2010-01-25 2012-10-03 索尼公司 Power management system, power management apparatus, and power management method
CN104574175A (en) * 2013-10-24 2015-04-29 航天信息股份有限公司 Data information acquisition processing system and method
CN105719013A (en) * 2016-01-15 2016-06-29 中国南方电网有限责任公司电网技术研究中心 Method and system for calculating enterprise asset debts
CN109389250A (en) * 2018-10-10 2019-02-26 国网湖南省电力有限公司 Based on goal-oriented power grid enterprises' business model construction method
CN110991926A (en) * 2019-12-16 2020-04-10 象山电力实业有限公司 Comprehensive energy service system based on enterprise power consumption big data analysis
CN111401798A (en) * 2020-06-02 2020-07-10 南京百敖软件有限公司 Enterprise waste escaping and debt risk early warning system and construction method
CN111461521A (en) * 2020-03-27 2020-07-28 广东电网有限责任公司 Residential housing vacancy rate analysis method based on electric power big data
CN111612323A (en) * 2020-05-15 2020-09-01 国网河北省电力有限公司电力科学研究院 Electric power credit investigation evaluation method based on big data model
CN111639883A (en) * 2020-06-15 2020-09-08 江苏电力信息技术有限公司 Electricity charge recycling risk prediction method based on machine learning
CN112419124A (en) * 2020-11-19 2021-02-26 广州市城市规划勘测设计研究院 Method and device for quickly identifying low-efficiency industrial land and storage medium thereof

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002150146A (en) * 2000-11-06 2002-05-24 Yoshikatsu Shirota General information management, protection, alteration, transfer, warning, preservation, data collection and analysis center, and self-responsibility system using tow- way communications of information terminal
US20090222320A1 (en) * 2008-02-29 2009-09-03 David Arfin Business model for sales of solar energy systems
CN102714415A (en) * 2010-01-25 2012-10-03 索尼公司 Power management system, power management apparatus, and power management method
CN104574175A (en) * 2013-10-24 2015-04-29 航天信息股份有限公司 Data information acquisition processing system and method
CN105719013A (en) * 2016-01-15 2016-06-29 中国南方电网有限责任公司电网技术研究中心 Method and system for calculating enterprise asset debts
CN109389250A (en) * 2018-10-10 2019-02-26 国网湖南省电力有限公司 Based on goal-oriented power grid enterprises' business model construction method
CN110991926A (en) * 2019-12-16 2020-04-10 象山电力实业有限公司 Comprehensive energy service system based on enterprise power consumption big data analysis
CN111461521A (en) * 2020-03-27 2020-07-28 广东电网有限责任公司 Residential housing vacancy rate analysis method based on electric power big data
CN111612323A (en) * 2020-05-15 2020-09-01 国网河北省电力有限公司电力科学研究院 Electric power credit investigation evaluation method based on big data model
CN111401798A (en) * 2020-06-02 2020-07-10 南京百敖软件有限公司 Enterprise waste escaping and debt risk early warning system and construction method
CN111639883A (en) * 2020-06-15 2020-09-08 江苏电力信息技术有限公司 Electricity charge recycling risk prediction method based on machine learning
CN112419124A (en) * 2020-11-19 2021-02-26 广州市城市规划勘测设计研究院 Method and device for quickly identifying low-efficiency industrial land and storage medium thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王彤: ""电量指标"在基层税源监控中的应用研究——兼论运用第三方数据实现"信息管税"", 《中国优秀硕士学位论文全文数据库（电子期刊）》 *

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