CN113626765A - Energy data processing method, device, equipment and storage medium - Google Patents

Energy data processing method, device, equipment and storage medium Download PDF

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Publication number
CN113626765A
CN113626765A CN202110878993.2A CN202110878993A CN113626765A CN 113626765 A CN113626765 A CN 113626765A CN 202110878993 A CN202110878993 A CN 202110878993A CN 113626765 A CN113626765 A CN 113626765A
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data
carbon emission
energy data
energy
target
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忻雷
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Shanghai Chuangneng Guorui New Energy Technology Co ltd
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Shanghai Chuangneng Guorui New Energy Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/64Protecting data integrity, e.g. using checksums, certificates or signatures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/84Greenhouse gas [GHG] management systems
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/84Greenhouse gas [GHG] management systems
    • Y02P90/845Inventory and reporting systems for greenhouse gases [GHG]
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The embodiment of the application provides an energy data processing method, an energy data processing device and a storage medium, wherein the method comprises the following steps: encrypting energy data sets of a plurality of target devices acquired from a data center and generating a task allocation strategy corresponding to the energy data sets; respectively sending energy data in the energy data set to a plurality of block chain nodes according to a task allocation strategy, so that each block chain node respectively adds the received energy data into a block chain system; respectively sending second messages to each block chain node according to the received first messages, and after receiving confirmation messages returned based on the second messages from each block chain node, performing carbon emission data calculation on energy data of the carbon transaction equipment to obtain target carbon emission data; and if the target carbon emission data is higher than the preset emission, generating a carbon emission bill and sending the bill to the equipment for carbon transaction. According to the scheme, the carbon emission data can be prevented from being repeatedly calculated, and the effectiveness of the carbon emission data authentication of the energy station is improved.

Description

Energy data processing method, device, equipment and storage medium
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for processing energy data.
Background
Carbon emission statistics for energy data (including power generation data, environmental data related to power generation, production data, and emission data of energy stations) for energy stations (including distributed photovoltaic power stations, wind stations, ground source water source air source heat pump stations, biomass power stations, energy storage stations, etc. dispersed energy stations) are typically performed using different data sources. Approval of the accuracy and authenticity of the power generation data in the different data sources is required to ensure that carbon emission data for the power generation data can be certified with comparative confidence.
However, in the process of performing carbon emission statistics on data obtained from the project of the energy station, the problem of repeated calculation of the carbon emission data is likely to occur, which may cause deviation when the emission reduction amount of the energy station is authenticated, and finally, the validity of the authentication of the carbon emission data of the energy station cannot be ensured.
Disclosure of Invention
The embodiment of the application provides an energy data processing method, an energy data processing device, energy data processing equipment and a storage medium, which can avoid repeated calculation of carbon emission data and further improve the validity of carbon emission data authentication of an energy station.
In a first aspect, an embodiment of the present application provides an energy data processing method, which is performed by a carbon trading platform in a blockchain system, where the blockchain system includes at least one data center and a plurality of target devices, and both a target device and a data center are blockchain link points in the blockchain system; the method comprises the following steps:
acquiring an energy data set of a plurality of target devices from the data center, wherein the target devices at least comprise one of energy supply devices and energy utilization devices;
encrypting the energy data set and generating a task allocation strategy corresponding to the energy data set;
respectively sending the energy data in the energy data set to the plurality of block chain nodes according to the task allocation strategy, so that each block chain node respectively adds the received energy data into the block chain system;
receiving a first message for requesting authentication of carbon emission data of a carbon transaction device to be carbon among the plurality of target devices;
respectively sending second messages to each block chain node according to the first messages, wherein the second messages are used for indicating the block chain node to determine the right of the energy data stored in the block chain node;
after receiving confirmation messages returned based on the second messages from all the block chain nodes, performing carbon emission data calculation on the energy data of the equipment to be carbon transacted to obtain target carbon emission data;
and if the target carbon emission data is higher than the preset emission, generating a carbon emission bill and sending the bill to the equipment for carbon transaction.
In some embodiments, after obtaining the set of energy data for the plurality of target devices from the data center, the method further comprises:
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
respectively comparing the carbon emission data of each target device with the preset emission;
respectively setting corresponding carbon emission grades for each target device according to the comparison result;
information indicating the respective corresponding carbon emission levels is transmitted to the respective target devices.
In some embodiments, after obtaining the set of energy data for the plurality of target devices from the data center, the method further comprises:
determining the production type of an enterprise to which each target device belongs;
acquiring carbon emission standards corresponding to various production categories;
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
determining target equipment which does not meet the corresponding carbon emission standard according to the carbon emission standard corresponding to each production category and the carbon emission data corresponding to each target equipment;
and respectively sending corresponding reminding information to target equipment which does not accord with the corresponding carbon emission standard, wherein the reminding information is used for reminding the target equipment to control or schedule the energy data according to the carbon emission standard corresponding to the production type.
In some embodiments, after the transmitting the energy data in the energy data set to the plurality of blockchain nodes respectively according to the task allocation policy, the method further includes:
receiving a third message from a new target device, the third message requesting to join the blockchain system, the third message including historical energy data and historical carbon emission data authentication information for the new target device;
performing preset evaluation on the new target equipment based on the historical energy data and the historical carbon emission data authentication information to obtain an evaluation result;
if the evaluation result meets the preset carbon emission certification condition, taking the new target equipment as a block chain link point in the block chain system;
synchronizing the historical energy data and the historical carbon emission data certification information into each blockchain node in the blockchain system.
In a second aspect, an embodiment of the present application further provides an energy data processing apparatus, where the energy data processing apparatus is a blockchain link point in a blockchain system, the blockchain system includes at least one data center and a plurality of target devices, and both a target device and a data center are blockchain link points in the blockchain system; the energy data processing apparatus includes:
the receiving and sending module is used for acquiring an energy data set of a plurality of target devices from the data center, wherein the target devices at least comprise one of energy supply devices and energy utilization devices;
the processing module is used for encrypting the energy data set and generating a task allocation strategy corresponding to the energy data set; respectively sending the energy data in the energy data set to the plurality of block chain nodes through the transceiver module according to the task allocation strategy, so that each block chain node respectively adds the received energy data to the block chain system;
the receiving and sending module is further used for receiving a first message, and the first message is used for requesting to authenticate carbon emission data of a carbon transaction device to be carbon in the target devices; respectively sending second messages to each block chain node according to the first messages, wherein the second messages are used for indicating the block chain node to determine the right of the energy data stored in the block chain node;
the processing module is further used for calculating the carbon emission data of the energy data of the equipment to be carbon traded after the transceiver module receives the confirmation message returned based on the second message from each block link point to obtain target carbon emission data; and if the target carbon emission data is higher than the preset emission, generating a carbon emission bill and sending the bill to the equipment for carbon transaction through the transceiver module.
In a third aspect, an embodiment of the present application further provides a processing device, which includes a processor and a memory, where the memory stores a computer program, and the processor executes the steps in any one of the energy data processing methods provided in the embodiments of the present application when calling the computer program in the memory.
In a fourth aspect, embodiments of the present application further provide a computer-readable storage medium, where a plurality of instructions are stored, and the instructions are suitable for being loaded by a processor to perform steps in any one of the energy data processing methods provided by the embodiments of the present application.
From the above, the present application has the following advantageous effects:
when the carbon trading platform uses the energy data of the equipment to be traded for carbon, each blockchain node in the blockchain system needs to determine the right of the energy data of the equipment to be traded for carbon. Because each target device and energy data are added into the block chain system in advance and a non-repudiation mechanism is formed between the target device and the energy data, the energy data in the whole block chain system are influenced by at least 3 block chain nodes, and even if the energy data of one block chain node is modified, the integrity, consistency and effectiveness of the whole data cannot be influenced, so that the accuracy of the energy data is ensured. Due to the integrity, consistency and effectiveness of the whole data, the carbon emission data can be prevented from being repeatedly calculated, and the effectiveness of the carbon emission data authentication of the energy station is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for processing energy data according to the present application;
FIG. 2 is a schematic diagram of an embodiment of an energy data processing apparatus;
FIG. 3 is a schematic diagram of a processing apparatus according to the present application.
Detailed Description
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.
In the description that follows, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise indicated. Accordingly, these steps and operations will be referred to, several times, as being performed by a computer, the computer performing operations involving a processing unit of the computer in electronic signals representing data in a structured form. This operation transforms the data or maintains it at locations in the computer's memory system, which may be reconfigured or otherwise altered in a manner well known to those skilled in the art. The data maintains a data structure that is a physical location of the memory that has particular characteristics defined by the data format. However, while the principles of the application have been described in language specific to above, it is not intended to be limited to the specific form set forth herein, and it will be recognized by those of ordinary skill in the art that various of the steps and operations described below may be implemented in hardware.
The principles of the present application may be employed in numerous other general-purpose or special-purpose computing, communication environments or configurations. Examples of well known computing systems, environments, and configurations that may be suitable for use with the application include, but are not limited to, hand-held telephones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe-based computers, and distributed computing environments that include any of the above systems or devices.
The terms "first", "second", and "third", etc. in this application are used to distinguish between different objects and not to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions.
First, before the embodiments of the present application are described, the relevant contents of the present application about the application background will be described.
The execution main body of the energy data processing method provided by the application can be the device provided by the application, or processing Equipment such as server Equipment, a physical host, a vehicle-mounted terminal or User Equipment (UE) integrated with the device, wherein the device can be realized in a hardware or software mode, and the UE can be terminal Equipment such as a smart phone, a tablet computer, a notebook computer, a palm computer, a desktop computer or a Personal Digital Assistant (PDA).
Next, the energy data processing method provided by the present application will be described.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an energy data processing method according to the present application, which can be implemented based on a block chain system. The method is executed by an energy data processing platform in a blockchain system, wherein the blockchain system comprises the energy data processing platform, a carbon trading platform, at least one data center and a plurality of target devices, and the target devices and the data centers are all blockchain nodes in the blockchain system, for example, blockchain nodes are established in the data center and enterprises related to carbon trading and energy station projects. The method specifically comprises the following steps:
101. an energy data set of a plurality of target devices is obtained from the data center.
Wherein the target device may comprise at least one of an energy-providing device and an energy-consuming device. The functional devices may include generators, uninterruptible power supplies, and the like that provide electrical energy. The energy utilization equipment can comprise production equipment, electric appliances and other power consumption equipment.
In the embodiment of the application, the user, the energy using party, the engineering party, the investor, the monitoring party and the like capable of acquiring the energy data set are available. They can use the energy source data set for carbon emissions certification. But since the data sources are the same, it results in duplicate calculations. After the plurality of target devices are added into the block chain system, the duplicate removal of the energy data can be realized no matter the energy data of the target devices are various in source, namely, the duplicate removal is carried out by adopting a non-repudiation mechanism of the data consistency of the block chain.
In some embodiments, in order to facilitate targeted, primary, secondary, reasonable, and efficient monitoring of carbon emissions of each target device, a carbon emission rating may also be set for each target device. Specifically, after the acquiring the energy data sets of the plurality of target devices from the data center, the method further includes:
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
respectively comparing the carbon emission data of each target device with the preset emission;
respectively setting corresponding carbon emission grades for each target device according to the comparison result;
information indicating the respective corresponding carbon emission levels is transmitted to the respective target devices.
Therefore, in the embodiment, the carbon emission grade is set for each target device, so that the carbon emission of each target device can be monitored in a targeted, primary and secondary, reasonable and efficient manner.
In other embodiments, different enterprises have different production categories and different power generation amounts required in the same time, so different carbon emission standards are set for target equipment business providing power generation amounts. Specifically, after the acquiring the energy data sets of the plurality of target devices from the data center, the method further includes:
determining the production type of an enterprise to which each target device belongs;
acquiring carbon emission standards corresponding to various production categories;
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
determining target equipment which does not meet the corresponding carbon emission standard according to the carbon emission standard corresponding to each production category and the carbon emission data corresponding to each target equipment;
and respectively sending corresponding reminding information to target equipment which does not accord with the corresponding carbon emission standard, wherein the reminding information is used for reminding the target equipment to control or schedule the energy data according to the carbon emission standard corresponding to the production type.
For example, in an energy station target device and a distributed power generation scene, the generated energy is uploaded in real time, the generated energy is multiplied by a carbon conversion coefficient to be directly converted into the carbon emission of the energy station, and carbon emission certification is performed
In a wind power generation scene, the generated energy is multiplied by a wind energy carbon conversion coefficient to be directly converted into the wind power carbon emission amount through real-time uploading of wind power generation, and carbon emission certification is carried out.
When the original equipment is modified, the energy consumption data before and after modification are analyzed, the modified carbon emission data is determined, and the partial data is authenticated.
Therefore, in the embodiment, different carbon emission standards are set for different target devices by comprehensively considering the production types of different enterprises, so that carbon transaction errors caused by using the same set of carbon emission standards for all target devices can be avoided, and the reminding information is sent to the target devices which do not meet the carbon emission standards in real time, so that real-time monitoring and timely improvement can be realized, and the environment protection is facilitated.
102. And encrypting the energy data set and generating a task allocation strategy corresponding to the energy data set.
103. And respectively sending the energy data in the energy data set to the plurality of block chain nodes according to the task allocation strategy, so that each block chain node respectively adds the received energy data into the block chain system.
In some embodiments, after the transmitting the energy data in the energy data set to the plurality of blockchain nodes respectively according to the task allocation policy, the method further includes:
receiving a third message from a new target device, the third message requesting to join the blockchain system, the third message including historical energy data and historical carbon emission data authentication information for the new target device;
performing preset evaluation on the new target equipment based on the historical energy data and the historical carbon emission data authentication information to obtain an evaluation result;
if the evaluation result meets the preset carbon emission certification condition, taking the new target equipment as a block chain link point in the block chain system;
synchronizing the historical energy data and the historical carbon emission data certification information into each blockchain node in the blockchain system.
Therefore, a mutual trust and non-repudiation mechanism is formed by introducing the block chain system, so that the new block chain nodes can be timely supplemented into the block chain system when a new energy station project is authenticated. Even if the number of the block chain links is increased, the data in the current block chain cannot be modified and the uniqueness of the data in the using process can be ensured.
104. Receiving a first message requesting authentication of carbon emission data of a carbon transaction device to be used in the plurality of target devices.
The carbon transaction equipment is target equipment for carbon transaction.
Specifically, when the first message is the energy data of the carbon transaction platform using the device to be carbon transacted, each blockchain node in the blockchain system needs to determine the right of the energy data of the device to be carbon transacted. Due to the influence of at least 3 blockchain nodes, the energy data of one blockchain node is modified, the integrity and the effectiveness of the whole data cannot be influenced, and therefore the accuracy of the energy data is guaranteed.
105. Respectively sending second messages to each block chain node according to the first messages;
wherein the second message is used for indicating the block link points to perform the right confirmation on the respectively stored energy data.
106. And after receiving the confirmation message returned based on the second message from each block link point, performing carbon emission data calculation on the energy data of the equipment to be carbon transacted to obtain target carbon emission data.
After the target carbon emission data is obtained, carbon emission certification can be carried out on the data, carbon emission transaction can be carried out after the certification is passed, and the data are converted into financial currency through the carbon emission transaction.
107. And if the target carbon emission data is higher than the preset emission, generating a carbon emission bill and sending the bill to the equipment for carbon transaction.
The carbon emission bill is a carbon transaction aiming at target carbon emission data, the carbon transaction can be presented in a carbon emission bill mode, and after an enterprise to which the carbon transaction equipment belongs pays the carbon emission bill, the carbon transaction can be converted into corresponding financial currency.
In this embodiment, when the carbon trading platform uses the energy data of the device to be traded for carbon, each blockchain node in the blockchain system needs to determine the right of the energy data of the device to be traded for carbon. Because each target device and energy data are added into the block chain system in advance and a non-repudiation mechanism is formed between the target device and the energy data, the energy data in the whole block chain system are influenced by at least 3 block chain nodes, and even if the energy data of one block chain node is modified, the integrity, consistency and effectiveness of the whole data cannot be influenced, so that the accuracy of the energy data is ensured. Due to the integrity, consistency and effectiveness of the whole data, the carbon emission data can be prevented from being repeatedly calculated, and the effectiveness of the carbon emission data authentication of the energy station is improved.
In order to better implement the method of the present application, the embodiment of the present application further provides an energy data processing device 20. Referring to fig. 2, fig. 2 is a schematic structural diagram of the energy data processing apparatus 20 of the present application, wherein the energy data processing apparatus 20 is a blockchain node in a blockchain system, the blockchain system includes at least one data center and a plurality of target device blockchain nodes, and both the target device and the data center are the blockchain node in the blockchain system; the energy data processing apparatus includes:
a transceiver module 201, configured to obtain an energy data set of a plurality of target devices from the data center;
the processing module 202 is configured to encrypt the energy data set and generate a task allocation policy corresponding to the energy data set; respectively sending the energy data in the energy data set to the plurality of blockchain nodes through the transceiver module 201 according to the task allocation strategy, so that each blockchain node respectively adds the received energy data to the blockchain system;
the transceiver module 201 is further configured to receive a first message, where the first message is used to request authentication of carbon emission data of a carbon transaction device to be treated in the plurality of target devices; respectively sending second messages to each block chain node according to the first messages, wherein the second messages are used for indicating the block chain node to determine the right of the energy data stored in the block chain node;
the processing module 202 is further configured to perform carbon emission data calculation on the energy data of the equipment to be carbon transacted after the transceiver module 201 receives the confirmation message returned based on the second message from each block link point, so as to obtain target carbon emission data; if the target carbon emission data is higher than the preset emission, a carbon emission bill is generated and sent to the equipment for carbon transaction through the transceiver module 201.
In one embodiment, the processing module 202 is further configured to, after the transceiver module obtains the energy data sets of the plurality of target devices from the data center:
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
respectively comparing the carbon emission data of each target device with the preset emission;
respectively setting corresponding carbon emission grades for each target device according to the comparison result;
information indicating the respective corresponding carbon emission levels is transmitted to the respective target devices through the transceiver module 201.
In one embodiment, the processing module 202 is further configured to, after the transceiver module obtains the energy data sets of the plurality of target devices from the data center:
determining the production type of an enterprise to which each target device belongs;
acquiring carbon emission standards corresponding to various production categories;
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
determining target equipment which does not meet the corresponding carbon emission standard according to the carbon emission standard corresponding to each production category and the carbon emission data corresponding to each target equipment;
and respectively sending corresponding reminding information to each target device which does not conform to the corresponding carbon emission standard through the transceiver module 201, wherein the reminding information is used for reminding the target devices to control or schedule the energy data according to the carbon emission standard corresponding to the production category.
In one embodiment, after the transceiver module 201 transmits the energy data in the energy data set to the plurality of blockchain nodes according to the task allocation policy, the processing module 202 is further configured to:
receiving a third message from a new target device through the transceiving module 201, the third message requesting to join the blockchain system, the third message including historical energy data and historical carbon emission data authentication information of the new target device;
performing preset evaluation on the new target equipment based on the historical energy data and the historical carbon emission data authentication information to obtain an evaluation result;
if the evaluation result meets the preset carbon emission certification condition, taking the new target equipment as a block chain link point in the block chain system;
the historical energy data and the historical carbon emission data certification information are synchronized into each blockchain node in the blockchain system through the transceiver module 201.
The present application further provides a processing device, and referring to fig. 3, fig. 3 shows a schematic structural diagram of the processing device of the present application, and specifically, the processing device of the present application includes a processor, and the processor is configured to implement the steps in the embodiment corresponding to fig. 1 when executing the computer program stored in the memory; alternatively, the processor is configured to implement the functions of the modules in the corresponding embodiment of fig. 2 when executing the computer program stored in the memory.
Illustratively, a computer program may be partitioned into one or more modules/units, which are stored in a memory and executed by a processor to accomplish the present application. One or more modules/units may be a series of computer program instruction segments capable of performing certain functions, the instruction segments being used to describe the execution of a computer program in a computer device.
The processing device may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that the illustration is merely an example of a processing device and is not meant to be limiting, and that more or fewer components than those illustrated may be included, or some components may be combined, or different components may be included, for example, the processing device may also include input output devices, network access devices, buses, etc., through which the processor, memory, input output devices, network access devices, etc., are connected.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the control center for the processing device and the various interfaces and lines connecting the various parts of the overall processing device.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the computer device by executing or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, video data, etc.) created according to the use of the processing device, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the apparatus, the processing device and the corresponding modules thereof described above may refer to the description in the embodiment corresponding to fig. 1, and are not described herein again in detail.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, an embodiment of the present application provides a computer-readable storage medium, where a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in the embodiment corresponding to fig. 1 in the present application, and specific operations may refer to the description in the embodiment corresponding to fig. 1, and are not described herein again.
Wherein the computer-readable storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the computer-readable storage medium can execute the steps in the embodiment of the present application corresponding to fig. 1, the beneficial effects that can be achieved in the embodiment of the present application corresponding to fig. 1 can be achieved, and the detailed description is omitted here.
The foregoing detailed description has provided a method, an apparatus, a processing device, and a computer-readable storage medium for processing energy data, and the present application has applied specific examples to explain the principles and implementations of the present application, and the descriptions of the foregoing examples are only used to help understand the method and the core ideas of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (10)

1. An energy data processing method is characterized in that the method is executed by an energy data processing platform in a blockchain system, the blockchain system comprises at least one data center and a plurality of target devices, and the target devices and the data centers are blockchain link points in the blockchain system; the method comprises the following steps:
acquiring an energy data set of a plurality of target devices from the data center, wherein the target devices at least comprise one of energy supply devices and energy utilization devices;
encrypting the energy data set and generating a task allocation strategy corresponding to the energy data set;
respectively sending the energy data in the energy data set to the plurality of block chain nodes according to the task allocation strategy, so that each block chain node respectively adds the received energy data into the block chain system;
receiving a first message for requesting authentication of carbon emission data of a carbon transaction device to be carbon among the plurality of target devices;
respectively sending second messages to each block chain node according to the first messages, wherein the second messages are used for indicating the block chain node to determine the right of the energy data stored in the block chain node;
after receiving confirmation messages returned based on the second messages from all the block chain nodes, performing carbon emission data calculation on the energy data of the equipment to be carbon transacted to obtain target carbon emission data;
and if the target carbon emission data is higher than the preset emission, generating a carbon emission bill and sending the bill to the equipment for carbon transaction.
2. The method of claim 1, wherein after obtaining the set of energy data for the plurality of target devices from the data center, the method further comprises:
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
respectively comparing the carbon emission data of each target device with the preset emission;
respectively setting corresponding carbon emission grades for each target device according to the comparison result;
information indicating the respective corresponding carbon emission levels is transmitted to the respective target devices.
3. The method of claim 1, wherein after obtaining the set of energy data for the plurality of target devices from the data center, the method further comprises:
determining the production type of an enterprise to which each target device belongs;
acquiring carbon emission standards corresponding to various production categories;
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
determining target equipment which does not meet the corresponding carbon emission standard according to the carbon emission standard corresponding to each production category and the carbon emission data corresponding to each target equipment;
and respectively sending corresponding reminding information to target equipment which does not accord with the corresponding carbon emission standard, wherein the reminding information is used for reminding the target equipment to control or schedule the energy data according to the carbon emission standard corresponding to the production type.
4. The method of claim 3, wherein after the transmitting energy data in the set of energy data to the plurality of blockchain nodes, respectively, according to the task allocation policy, the method further comprises:
receiving a third message from a new target device, the third message requesting to join the blockchain system, the third message including historical energy data and historical carbon emission data authentication information for the new target device;
performing preset evaluation on the new target equipment based on the historical energy data and the historical carbon emission data authentication information to obtain an evaluation result;
if the evaluation result meets the preset carbon emission certification condition, taking the new target equipment as a block chain link point in the block chain system;
synchronizing the historical energy data and the historical carbon emission data certification information into each blockchain node in the blockchain system.
5. An energy data processing device is characterized in that the energy data processing device is a blockchain link point in a blockchain system, the blockchain system comprises at least one data center and a plurality of target devices, and the target devices and the data centers are the blockchain link points in the blockchain system; the energy data processing apparatus includes:
the receiving and sending module is used for acquiring an energy data set of a plurality of target devices from the data center, wherein the target devices at least comprise one of energy supply devices and energy utilization devices;
the processing module is used for encrypting the energy data set and generating a task allocation strategy corresponding to the energy data set; respectively sending the energy data in the energy data set to the plurality of block chain nodes through the transceiver module according to the task allocation strategy, so that each block chain node respectively adds the received energy data to the block chain system;
the receiving and sending module is further used for receiving a first message, and the first message is used for requesting to authenticate carbon emission data of a carbon transaction device to be carbon in the target devices; respectively sending second messages to each block chain node according to the first messages, wherein the second messages are used for indicating the block chain node to determine the right of the energy data stored in the block chain node;
the processing module is further used for calculating the carbon emission data of the energy data of the equipment to be carbon traded after the transceiver module receives the confirmation message returned based on the second message from each block link point to obtain target carbon emission data; and if the target carbon emission data is higher than the preset emission, generating a carbon emission bill and sending the bill to the equipment for carbon transaction through the transceiver module.
6. The apparatus of claim 5, wherein the processing module, after the transceiver module obtains the set of energy data for the plurality of target devices from the data center, is further configured to:
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
respectively comparing the carbon emission data of each target device with the preset emission;
respectively setting corresponding carbon emission grades for each target device according to the comparison result;
and sending information indicating the corresponding carbon emission level to each target device through the transceiver module.
7. The apparatus of claim 5, wherein the processing module, after the transceiver module obtains the set of energy data for the plurality of target devices from the data center, is further configured to:
determining the production type of an enterprise to which each target device belongs;
acquiring carbon emission standards corresponding to various production categories;
performing carbon emission data calculation on the energy data of each target device to obtain respective corresponding carbon emission data;
determining target equipment which does not meet the corresponding carbon emission standard according to the carbon emission standard corresponding to each production category and the carbon emission data corresponding to each target equipment;
and respectively sending corresponding reminding information to each target device which does not conform to the corresponding carbon emission standard through the transceiver module, wherein the reminding information is used for reminding the target devices to control or schedule the energy data according to the carbon emission standard corresponding to the production category.
8. The apparatus of claim 7, wherein the processing module, after the transceiver module sends the energy data in the energy data set to the plurality of blockchain nodes according to the task allocation policy, is further configured to:
receiving, by the transceiver module, a third message from a new target device, the third message requesting to join the blockchain system, the third message including historical energy data and historical carbon emission data authentication information for the new target device;
performing preset evaluation on the new target equipment based on the historical energy data and the historical carbon emission data authentication information to obtain an evaluation result;
if the evaluation result meets the preset carbon emission certification condition, taking the new target equipment as a block chain link point in the block chain system;
synchronizing, by the transceiver module, the historical energy data and the historical carbon emission data certification information into each blockchain node in the blockchain system.
9. A processing device comprising a processor and a memory, the memory having stored therein a computer program, the processor when calling the computer program in the memory performing the method of any of claims 1 to 5.
10. A computer-readable storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the method of any of claims 1 to 5.
CN202110878993.2A 2021-08-02 2021-08-02 Energy data processing method, device, equipment and storage medium Pending CN113626765A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114064809A (en) * 2022-01-07 2022-02-18 阿里云计算有限公司 Carbon data processing method, electronic device, and storage medium
WO2023173253A1 (en) * 2022-03-14 2023-09-21 深圳技术大学 Data sharing method and device in energy transaction process, and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114064809A (en) * 2022-01-07 2022-02-18 阿里云计算有限公司 Carbon data processing method, electronic device, and storage medium
WO2023173253A1 (en) * 2022-03-14 2023-09-21 深圳技术大学 Data sharing method and device in energy transaction process, and storage medium

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