Plant-network coordination sunlight service method and system based on block chain

Abstract

The invention discloses a plant-network coordination sunlight service method and system based on a block chain, and relates to the technical field of power plant business systems. According to the plant-network coordination sunlight service method and system based on the block chain, an instruction comprehensive analysis module is additionally arranged in the system, data daily output by a power plant terminal module and a power consumption analysis module are collected, modeling is carried out in combination with instructions output by a cloud scheduling platform for different data conditions, and the data are acquired according to the daily data during use. Data are input into the model, an instruction is obtained through calculation, and the instruction is compared with an instruction output by the cloud scheduling platform, so that an auxiliary comparison effect can be achieved for the instruction sent by a worker, the error rate of the worker is reduced, and the worker can be assisted to reasonably adjust the sent instruction.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant business systems, and particularly to a blockchain-based power grid-plant coordinated sunshine service method and system. Background Art

[0002] In the power business system, within a region, through the dispatching platform, based on the analysis of the data of civil and commercial electricity consumption in the region, the power generation dispatching work is carried out for each power plant. And based on the analysis of electricity consumption and the connection between the power plant and the dispatching platform and various data monitoring, a power grid-plant dispatching business service system serving the power plant and the dispatching platform is proposed;

[0003] An existing Chinese patent document CN105678413A discloses an integrated management system for grid-plant collaborative dispatching operation business, which can comprehensively cover the dispatching operation business between the grid and the plant, and has scalability and adaptability, and is a distributed heterogeneous system management integrating business and processes. It completes the design of the distributed heterogeneous system deployment architecture including cross-security regions and cross-system boundaries between the grid and the plant, the design of the grid-plant interconnected network communication architecture, the docking of business processes and the design of the process status monitoring solution, and solves the problems existing in the integrated management of grid-plant collaborative dispatching operation business. This system includes the following contents: deployment architecture, grid-plant interconnected network communication architecture, and business process docking and process status monitoring;

[0004] An existing Chinese patent document CN110033202A discloses a risk assessment method and assessment system for a power business system. The method includes: obtaining real-time alarm information data corresponding to each asset device in the power business system; according to the number of alarm information and the alarm threat level of each real-time alarm information data, respectively matching the numerical value of the alarm risk coefficient of the asset device, and according to the product of the alarm risk coefficient and the preset device asset value, respectively obtaining the device asset risk value of each asset device; according to the device asset risk values of each asset device, calculating the system asset risk value of the power business system. It solves the technical problem that the quality of the assessment of the existing traditional device asset risk is unstable due to the lack of a systematic and quantitative assessment method for the risk assessment of the business assets of the traditional power production system;

[0005] For the technologies provided in the above patent documents, the power business systems in the prior art for the power dispatching platform and each power plant are all provided with a dispatching instruction comprehensive analysis module, which results in no corresponding data comparison and judgment for the instructions issued by the dispatching platform. Although the dispatching instructions issued through the comprehensive analysis of personnel have high flexibility, due to the lack of relevant data analysis output for comparison and analysis, the output of the dispatching instructions completely depends on the experience of personnel for judgment, without a systematic judgment standard, and there is no modeling instruction for comparison before the instruction output.

[0006] Therefore, it is necessary to provide a blockchain-based factory-grid coordinated sunshine service method and system to solve the above technical problems. Summary of the Invention

[0007] (1) Technical problems to be solved

[0008] To solve the above technical problems, the present invention provides a blockchain-based factory-grid coordinated sunshine service method and system.

[0009] (2) Technical solutions

[0010] To achieve the above object, the present invention is realized through the following technical solutions: A blockchain-based factory-grid coordinated sunshine service method includes the following steps:

[0011] S1. The power consumption analysis module statistically analyzes the power consumption data in the region and sends the data to the cloud scheduling platform;

[0012] S2. The power plant terminal module statistically analyzes the data of the thermal power plant and sends it to the cloud scheduling platform;

[0013] S3. The executor makes an increase or decrease scheduling instruction for the power generation amount to each power-consuming factory based on the data fed back by the power plant terminal module and the power consumption analysis module on the cloud scheduling platform;

[0014] S4. While the instruction comprehensive analysis module issues a scheduling instruction on the cloud scheduling platform, it simulates and generates a scheduling instruction based on the data, compares it with the instruction issued by the cloud scheduling module personnel, and makes a comparison to supply a reminder for the executor.

[0015] The present invention also provides a blockchain-based factory-grid coordinated sunshine service system, including:

[0016] A cloud scheduling platform, which is used to make a power consumption scheduling instruction according to the received power consumption information and power consumption rules and execute the power consumption scheduling work;

[0017] A power consumption analysis module, which is used to make a power consumption analysis report in the region according to the regional power consumption-related information and real-time power consumption data;

[0018] A power plant terminal module, which is the terminal of the power plant and is used to receive the instruction of the cloud scheduling platform and feedback the power plant information;

[0019] A blockchain storage system, which is used to store the power consumption analysis report and the power consumption scheduling instruction information output by the cloud scheduling platform;

[0020] The instruction comprehensive analysis module is used to comprehensively analyze the dispatching instructions issued by the cloud dispatching platform in combination with the feedback data from the power plant terminal module and the power consumption analysis report output by the power consumption analysis module, and make a reminder feedback.

[0021] Preferably, the cloud dispatching platform specifically includes the following sub-modules:

[0022] The display module is used to display real-time power analysis report information, power dispatching instruction information, and power plant generation-related information feedback by the power plant terminal module;

[0023] The execution module is used to execute dispatching-related instructions and analysis and processing work;

[0024] The monitoring module is used to monitor dispatching-related operations;

[0025] The alarm module alarms for relevant emergencies feedback by the power plant terminal module during the power dispatching process and abnormal power analysis reports feedback by the power consumption analysis module.

[0026] Preferably, the instruction comprehensive analysis module specifically collects and analyzes the data received by the cloud dispatching platform and the issued instructions in daily work to establish a data instruction model, and analyzes the instructions issued by the cloud dispatching platform in daily work to determine whether the issued instructions conform to the instructions obtained from the data instruction model analysis. If there is a difference between the two, a reminder is sent to the cloud dispatching platform to remind the dispatcher to check whether the instructions are issued correctly.

[0027] Preferably, the instruction comprehensive analysis module specifically includes the following sub-modules:

[0028] The data storage module. Under different data situations, the cloud dispatching platform will issue different instructions. The data storage module stores the instructions issued by the cloud dispatching platform under this kind of data in a package with this kind of data;

[0029] The model establishment module is used to build a model based on the data packets stored daily by the data storage module.

[0030] Preferably, the blockchain storage module is used to store all data in the daily interaction process in batches in a multi-block consortium chain.

[0031] Preferably, the power consumption analysis module specifically includes the following sub-modules:

[0032] The power consumption monitoring module monitors the power consumption of each electricity-consuming place in the region;

[0033] The analysis module combines historical laws and past regional power consumption data to obtain a power consumption prediction report for the future period and a regional power consumption analysis report for the current statistical period.

[0034] (3) Beneficial effects

[0035] The present invention provides a blockchain-based factory-grid coordinated sunlight service method and system. Compared with the prior art, it has the following beneficial effects:

[0036] 1. A blockchain-based factory-grid coordinated sunlight service system provided by the present invention adds an instruction comprehensive analysis module in the system, collects the data daily output by the power plant terminal module and the power consumption analysis module, and models the instructions output by the cloud scheduling platform for different data situations. It can automatically output the calculated instructions based on the daily data according to the model and compare them with the instructions output by the cloud scheduling platform, so as to play an auxiliary comparison role for the instructions issued to the staff, reduce the error rate of the staff, and assist the staff in reasonably adjusting the issued instructions;

[0037] 2. A blockchain-based factory-grid coordinated sunlight service system provided by the present invention has an alarm module, which can alarm the commanders when there are relatively abnormal changes in power consumption and when emergencies occur in the power plant, so as to remind the alarm personnel to notice the changes and situations in time, and then improve the timeliness of emergency warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a schematic flow chart of the method of the present invention;

[0039] Figure 2 is a schematic diagram of the overall system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0041] Embodiment 1

[0042] Please refer to Figure 1 , the embodiments of the present invention provide a technical solution: a blockchain-based factory-grid coordinated sunlight service method, including the following steps:

[0043] S1. The power consumption analysis module statistically analyzes the power consumption data in the region and sends the data to the cloud scheduling platform;

[0044] S2. The power plant terminal module statistically analyzes the data of the thermal power plant and sends it to the cloud scheduling platform;

[0045] S3. The executor makes an increase or decrease scheduling instruction for the power generation amount based on the data fed back by the power plant terminal module and the power consumption analysis module in the cloud scheduling platform, and sends the instruction to each power plant;

[0046] S4. While the instruction comprehensive analysis module issues a scheduling instruction in the cloud scheduling platform, it generates a simulation of the scheduling instruction based on the data, compares it with the instruction issued by the cloud scheduling module personnel, and makes a comparison to supply a reminder to the executor.

[0047] The issued scheduling instruction specifically includes the requirements for the power generation amount of the power plant, which is used to schedule each power plant, enabling the power plant to perform power generation work more in line with the usage situation according to the power consumption situation, avoiding waste caused by excessive power generation and also avoiding the problem of power shortage leading to power supply tension;

[0048] The issued scheduling instruction also includes the requirements for the power consumption amount within the region, which is convenient for guiding the regional power consumption managers to make corresponding power consumption adjustments for large power consumers such as enterprises and factories, avoiding the problem of power supply tension.

[0049] Embodiment 2

[0050] Please refer to Figure 2 , this embodiment provides a blockchain-based plant-network coordination sunlight service system, including:

[0051] A cloud scheduling platform, which is used to make a power consumption scheduling instruction based on the received power consumption information and power consumption rules, and execute the power consumption scheduling work;

[0052] A power consumption analysis module, which is used to make a power consumption analysis report within the region according to the regional power consumption-related information and real-time power consumption data;

[0053] A power plant terminal module, which is the terminal of the power plant, and is used to receive the cloud scheduling platform instruction and feedback the power plant information;

[0054] A blockchain storage system, which is used to store the power consumption analysis report and the power consumption scheduling instruction information output by the cloud scheduling platform;

[0055] An instruction comprehensive analysis module, which is used to comprehensively analyze the scheduling instruction issued by the cloud scheduling platform by combining the data fed back by the power plant terminal module and the power consumption analysis report output by the power consumption analysis module, and make a reminder feedback.

[0056] The cloud scheduling platform specifically includes the following sub-modules:

[0057] A display module, which is used to display the real-time power consumption analysis report information, power consumption scheduling instruction information, and the power plant power generation-related information fed back by the power plant terminal module;

[0058] An execution module for executing scheduling-related instructions and performing analysis and processing tasks;

[0059] A monitoring module for monitoring scheduling-related operations;

[0060] An alarm module that alarms for relevant emergencies feedback by the power plant terminal module during the power scheduling process and abnormal power analysis reports feedback by the power consumption analysis module. Through the alarm module, it is possible to alarm the command personnel when there are relatively abnormal changes in power consumption and emergencies occur at the power plant, so as to remind the alarm personnel to notice the changes and situations in a timely manner, thereby improving the timeliness of emergency warning. When in use, the data feedback by the power consumption analysis module and the power plant terminal module is displayed through the display module, and the execution module can perform corresponding execution operations according to the operations of the command personnel, and the monitoring module can monitor the operations of the command personnel.

[0061] The instruction comprehensive analysis module specifically collects and analyzes the data received and instructions issued by the cloud scheduling platform in daily work to establish a data instruction model, and analyzes the instructions issued by the cloud scheduling platform in daily work to determine whether the issued instructions conform to the instructions obtained from the analysis of the data instruction model. If there are differences between the two, a reminder is sent to the cloud scheduling platform to remind the scheduling personnel to check whether the instructions are issued correctly.

[0062] The instruction comprehensive analysis module specifically includes the following sub-modules:

[0063] A data storage module. Under different data situations, the cloud scheduling platform will issue different instructions. The data storage module packages and stores the instructions issued by the cloud scheduling platform under this type of data with this type of data;

[0064] A model establishment module for modeling based on the data packets stored daily by the data storage module. After establishing the model, it can perform instruction analysis calculations on the data output by the power plant terminal module and the power consumption analysis module received during implementation, and output to the display module for the command personnel to analyze and judge.

[0065] The blockchain storage module is used to store all data in the daily interaction process in batches on a multi-block consortium chain.

[0066] The power consumption analysis module specifically includes the following sub-modules:

[0067] A power consumption monitoring module for monitoring the power consumption of each electricity-consuming place in the region;

[0068] The analysis module combines historical patterns and past electricity consumption data within a region to generate a report on electricity consumption forecasts for the future period and an analysis report on the electricity consumption within the region for the current statistical period. The analysis module mainly conducts a comprehensive analysis from aspects such as electricity consumption, electricity consumption per unit time, changes in electricity consumption over a period, and historical electricity consumption data during the same period. The electricity monitoring module monitors the actual electricity consumption.

[0069] The usage method based on the above modules is as follows:

[0070] During daily use, the power plant terminal module collects the information of the power plant in real time and transmits it to the cloud scheduling platform. The power plant information specifically includes the average daily power generation of the power plant, the upper limit data of the maximum power generation, the total power generation of the power plant in the previous quarter, and the power generation of the power plant in the current quarter. At the same time, the electricity consumption analysis module also transmits the electricity consumption information within the region to the cloud scheduling platform in real time. The electricity consumption information sent by the electricity consumption analysis module includes the total daily household electricity consumption, commercial electricity consumption, and industrial electricity consumption within the region, as well as the daily total electricity consumption information within the three months before the information is sent, and the total electricity consumption information within the region in the same quarter of previous years. And each time data is sent, it will be sent to the instruction comprehensive analysis module for storage through the data storage module. When the operators on the cloud scheduling platform make corresponding power generation and electricity consumption scheduling work based on the data, they will send a copy of the scheduling report to the instruction comprehensive analysis module for storage. The model establishment module builds a model based on the stored power plant data, electricity consumption data, and scheduling reports. As the modeling continues, each time before the cloud scheduling platform issues a corresponding instruction, the instruction comprehensive analysis module will simultaneously output a corresponding instruction report through the established model. The cloud scheduling platform can make a comparison based on the instruction report generated by the model, thereby improving the accuracy of the issued instructions. When the cloud scheduling platform is working, the monitoring module can output a signal to the alarm module for alarm when there are significant changes in the data sent by the power plant terminal module and significant changes in the data sent by the electricity consumption analysis module. The execution module is used for receiving and sending data, and the display module is used for displaying various data. After the power plant terminal module receives the power generation instruction sent by the cloud scheduling platform, it makes corresponding power generation adjustments according to the instruction. At the same time, the electricity consumption analysis module receives the electricity consumption instruction from the cloud scheduling platform and makes electricity consumption adjustments according to the instruction.

[0071] In summary, the factory-network coordinated sunshine service system based on blockchain provided by the present invention adds an instruction comprehensive analysis module to the system, collects the data daily output by the power plant terminal module and the power consumption analysis module, and models the instructions output by the cloud scheduling platform for different data situations. It can automatically output the calculated instructions according to the daily data based on the model and compare them with the instructions output by the cloud scheduling platform, so as to play an auxiliary comparison role for the instructions issued to the staff, reduce the error rate of the staff, and assist the staff in reasonably adjusting the issued instructions. Moreover, through the alarm module, the system can alarm the commanders when there are relatively abnormal changes in power consumption and when emergencies occur in the power plant, so as to remind the alarm personnel to notice the changes and situations in time, and then improve the timeliness of early warning of emergencies.

[0072] At the same time, the content not described in detail in this specification belongs to the prior art well known to those skilled in the art.

[0073] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "including", "comprising" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0074] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A blockchain-based coordinated sunshine service method between power plants and grids, characterized in that It includes the following steps: S1. The power consumption analysis module statistically analyzes the power consumption data in the region and sends the data to the cloud scheduling platform; S2. The power plant terminal module statistically analyzes the data of the thermal power plant and sends it to the cloud scheduling platform; S3. The executor makes an increase or decrease scheduling instruction for the power generation amount at the cloud scheduling platform according to the data fed back by the power plant terminal module and the power consumption analysis module and sends it to each power plant; S4. While the instruction comprehensive analysis module issues a scheduling instruction at the cloud scheduling platform, it simulates and generates a scheduling instruction based on the data, compares it with the instruction issued by the cloud scheduling module personnel, and makes a comparison to supply a reminder for the executor.

2. A blockchain-based factory-grid coordinated sunshine service system, characterized in that, It includes: The cloud scheduling platform is used to make a power consumption scheduling instruction according to the received power consumption information and power consumption rules and execute the power consumption scheduling work; The power consumption analysis module is used to make a power consumption analysis report in the region according to the relevant regional power consumption information and real-time power consumption data; The power plant terminal module is the terminal of the power plant and is used to receive the instructions of the cloud scheduling platform and feedback the power plant information; The blockchain storage system is used to store the power analysis report and the power scheduling instruction information output by the cloud scheduling platform; The instruction comprehensive analysis module is used to comprehensively analyze the scheduling instruction issued by the cloud scheduling platform by combining the data fed back by the power plant terminal module and the power consumption analysis report output by the power consumption analysis module, and make a reminder and feedback.

3. The factory-network coordinated sunshine service system based on blockchain according to claim 2, wherein: The cloud scheduling platform specifically includes the following sub-modules: The display module is used to display the real-time power analysis report information, power scheduling instruction information, and the power generation-related information fed back by the power plant terminal module; The execution module is used to execute the instructions and analysis and processing work related to scheduling; The monitoring module is used to monitor the operations related to scheduling; The alarm module alarms for the relevant emergencies fed back by the power plant terminal module during the power scheduling process and the abnormal power analysis reports fed back by the power consumption analysis module.

4. The factory-network coordinated sunshine service system based on blockchain according to claim 2, wherein: The instruction comprehensive analysis module specifically collects and analyzes the data received by the cloud scheduling platform and the instructions issued in daily work to establish a data instruction model, and analyzes the instructions issued by the cloud scheduling platform in daily work, analyzes whether the issued instructions conform to the instructions obtained by the data instruction model analysis, and if there are differences between the two, a reminder is sent to the cloud scheduling platform to remind the scheduler to check whether the instructions are issued correctly.

5. The factory-grid coordinated sunshine service system based on blockchain according to claim 2, wherein: The instruction comprehensive analysis module specifically includes the following sub-modules: The data storage module. Under different data situations, the cloud scheduling platform will issue different instructions. The data storage module stores the instructions issued by the cloud scheduling platform under this kind of data in a package with this kind of data; The model establishment module is used to build a model according to the data packets stored daily by the data storage module.

6. The factory-network coordinated sunlight service system based on blockchain according to claim 2, characterized in that: The blockchain storage module is used to store all the data in the daily interaction process in batches in a multi-block consortium chain.

7. The factory-grid coordinated sunshine service system based on blockchain according to claim 2, wherein: The power consumption analysis module specifically includes the following sub-modules: The power monitoring module monitors the power consumption of each power consumption place in the region; The analysis module combines historical laws and past regional power consumption data to obtain a power consumption prediction report for the future period and a power consumption analysis report in the region during the current statistical period.

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