Energy equipment new energy circulation tracking evaluation system based on traceability technology

Abstract

The invention relates to the technical field of the energy industry, in particular to an energy equipment new energy circulation tracking evaluation system based on the traceability technology, and the system comprises a plurality of cloud data analysis modules, the cloud data analysis modules are designed in parallel, and each cloud data analysis module comprises a marking unit, an access unit, a calculation unit, a decision unit and a feedback unit; the marking unit is used for marking the power generation energy equipment; the access unit is used for receiving operation data during power generation of the energy equipment; the calculation unit is used for calculating and analyzing data accessed by the access unit, and the decision-making unit generates a regulation and control scheme according to a calculation and analysis result of the calculation unit; according to the invention, a brand new view angle and a technical path are provided for management of energy data, management of new energy circulation of energy equipment is enhanced, the purposes of openness and transparency of energy data and improvement of circulation efficiency are achieved, meanwhile, the cost of energy data management is greatly reduced, and digital transformation and sustainable development of the energy industry are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of energy industry, and in particular to an energy equipment new energy circulation tracking and evaluation system based on traceability technology. Background Art

[0002] The global energy industry faces challenges such as energy structure transformation, intelligent development, and increasingly stringent safety supervision. Energy data is a key factor in achieving energy transformation and smart management. Its efficient, transparent, and traceable transmission is crucial for optimizing the energy supply chain, promoting energy transactions, and ensuring energy security. The existing energy data management system has problems such as data silos, information asymmetry, and lack of trust mechanisms, which limit the full exploration of data value.

[0003] For example, a data statistics and evaluation method for a building environment and energy system with application number CN202410418616.4 and publication date 20240614 includes: the control software of a local computer obtains operation data during operation, processes the operation data and uploads it to a cloud platform, performs further data processing and analysis and evaluation on the cloud platform, and outputs statistical results and evaluation results on the cloud platform or a mobile terminal; the local computer is respectively connected to various equipment, sensors and energy metering instruments in the building system; the output statistical and evaluation results include but are not limited to sensor and meter curves, operation mode time diagrams, indoor temperature and humidity monthly numerical tables, and thermal and humidity comfort monthly evaluation tables; the data include but are not limited to project information, sensor data, room data, metering data, and operation data; the statistical parameters of the statistical results include but are not limited to hourly average statistics, daily average statistics, and evaluation value statistics.

[0004] In order to improve the management of energy data, existing technologies will strengthen the control of energy data through monitoring technology. However, traditional monitoring methods mostly monitor the new energy flow process of energy equipment through sensors. Multiple sensors need to be set up during the monitoring process, resulting in high management costs for energy data and the inability to notify maintenance units in time for maintenance, resulting in large losses in new energy flow. Therefore, it is urgent to design an energy equipment new energy flow tracking and evaluation system based on traceability technology to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide an energy equipment new energy flow tracking and evaluation system based on traceability technology to solve the above-mentioned shortcomings in the prior art.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] A new energy flow tracking and evaluation system for energy equipment based on traceability technology includes multiple cloud data analysis modules designed in parallel. The cloud data analysis modules include a marking unit, an access unit, a calculation unit, a decision unit, and a feedback unit.

[0008] The marking unit is used to mark the energy equipment for power generation. The marking unit is constructed using RFID technology. When marking, the marking unit performs classification marking according to the RFID tags of different energy equipment.

[0009] The access unit is used to receive the operating data of the energy equipment during power generation. The access unit includes an interface module and a storage module. The interface module obtains the operating data of the marked energy equipment through API interface technology. The storage module stores the operating data obtained by the interface module by building a cloud database. The transportation data includes the energy equipment's new energy production data, transmission data and consumption data.

[0010] The calculation unit is used to calculate and analyze the data accessed by the access unit. The calculation unit includes a virtual module, a calculation module, and an evaluation module. The virtual module includes a collection submodule, a processing submodule, and a simulation submodule. The collection submodule is used to collect previous energy equipment new energy flow data. The collection submodule obtains previous data by logging into the official website.

[0011] The processing submodule is used to classify and process the data, and the processing submodule also analyzes the data through correlation analysis technology. The processing submodule classifies and processes the data according to the mode of new energy production and the direction of flow. The correlation analysis of the data by the processing submodule is as follows:

[0012] S1-1. Data cleaning: Clean the collected data and process missing values, outliers, and duplicate values. Specific steps include calculating the missing value ratio, removing illogical characters, and removing duplicate values.

[0013] S1-2. Mining association relationships: Use correlation analysis technology to mine association relationships in data, and use cluster analysis. The cluster analysis formula is as follows:

[0014]

[0015] Among them, C i is the point set of the i-th cluster, μ i is the centroid of the ii-th cluster, K is the number of clusters, and x is the number of clusters belonging to C i data point, i is the centroid of the i-th cluster, ‖x-μ i ‖ 2 Represents the data point x and the cluster center μ iThe square of the Euclidean distance between them;

[0016] S1-3. Data integration: Integrate the data based on the analysis results.

[0017] The simulation submodule performs simulation modeling processing on the data processed by the processing submodule through three-dimensional modeling technology. The simulation submodule adopts MATLAB software and uses mesh function for drawing.

[0018] The evaluation module includes a risk submodule and an assessment submodule. The risk submodule performs risk analysis on the virtual module simulation process. The risk submodule calculates the risk using a comparison formula, and the comparison formula is as follows:

[0019]

[0020] Among them, Q i The actual new energy circulation situation is different from the new energy circulation situation simulated by the simulation submodule at the i-th position, q i is the risk rate generated by the difference between the actual new energy circulation situation and the new energy circulation situation simulated by the simulation sub-module at the i-th place, n is the total number of differences between the new energy circulation situation simulated by the simulation sub-module and the actual new energy circulation situation, if 0.3≥S>0, the actual new energy circulation situation has low risk, if 0.5≥S>0.3, the actual new energy circulation situation has general risk, if 1≥S>0.5, the actual new energy circulation situation has high risk.

[0021] The evaluation submodule performs evaluation based on the analysis results of the risk submodule, and the evaluation submodule judges the actual new energy circulation situation based on the risks analyzed by the risk submodule.

[0022] The decision-making unit generates a control plan based on the results of calculation and analysis by the calculation unit. The decision-making unit includes an AI module, a detection module and a screening module. The AI module searches for previous problem-solving solutions on the official website through keyword search technology. The AI module also searches for problem-solving solutions on the Internet through keyword search technology. The detection module detects the solutions searched by the AI module based on the number of times the solutions are applied. The screening module selects 3-5 optimal decision-making solutions based on the results of the detection module.

[0023] The feedback unit is used to send the control plan generated by the decision unit and the results calculated by the calculation unit to the maintenance unit. The feedback unit is established through text message push technology, and the feedback unit sends information to the maintenance unit through SMS, email, and WeChat push.

[0024] In the above technical solution, the present invention provides an energy equipment new energy circulation tracking and evaluation system based on traceability technology, which has the following beneficial effects:

[0025] (1) The system designed in this invention can provide a new perspective and technical path for the management of energy data, strengthen the management of the new energy flow of energy equipment, achieve the purpose of openness and transparency of energy data and improvement of flow efficiency, and at the same time greatly reduce the cost of energy data management, and promote the digital transformation and sustainable development of the energy industry.

[0026] (2) The present invention can not only perform virtual simulation of the new energy transfer of energy equipment through the calculation unit, but also determine the risks in the new energy transfer process of energy equipment by analyzing the simulation process. Subsequently, the new energy transfer process of energy equipment will be evaluated according to the risks, and a decision plan will be automatically generated. The decision plan will then be quickly notified to the maintenance unit, so that the maintenance unit can quickly resolve the risks in the new energy transfer process of energy equipment and reduce the losses in the new energy transfer process of energy equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0028] Figure 1 This is a system flow diagram provided for an embodiment of an energy equipment new energy flow tracking and evaluation system based on traceability technology of the present invention.

[0029] Figure 2 A schematic diagram of an access unit provided in an embodiment of an energy equipment new energy flow tracking and evaluation system based on traceability technology of the present invention.

[0030] Figure 3 A schematic diagram of a calculation unit provided in an embodiment of an energy equipment new energy flow tracking and evaluation system based on traceability technology of the present invention.

[0031] Figure 4 A schematic diagram of a decision-making unit provided in an embodiment of an energy equipment new energy circulation tracking and evaluation system based on traceability technology of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0033] like Figure 1-4As shown, an embodiment of the present invention provides an energy equipment new energy flow tracking and evaluation system based on traceability technology, including multiple cloud data analysis modules, multiple cloud data analysis modules are designed in parallel, and the cloud data analysis module includes a marking unit, an access unit, a computing unit, a decision unit and a feedback unit;

[0034] The marking unit is used to mark the energy equipment for power generation. The marking unit is constructed through RFID technology. When marking, the marking unit classifies and marks the energy equipment according to the RFID tags.

[0035] The access unit is used to receive the operating data of the energy equipment during power generation. The access unit includes an interface module and a storage module. The interface module obtains the operating data of the marked energy equipment through API interface technology. The storage module stores the operating data obtained by the interface module by building a cloud database. The transportation data includes the energy equipment's new energy production data, transmission data and consumption data.

[0036] The calculation unit is used to calculate and analyze the data accessed by the access unit. The calculation unit includes a virtual module, a calculation module, and an evaluation module. The virtual module includes an acquisition submodule, a processing submodule, and a simulation submodule. The acquisition submodule is used to collect previous energy equipment new energy flow data. The acquisition submodule obtains previous data by logging into the official website.

[0037] The processing submodule is used to classify and process the data. The processing submodule also analyzes the data through correlation analysis technology. The processing submodule classifies and processes the data based on the production mode and flow direction of new energy. The correlation analysis of the data by the processing submodule is as follows:

[0038] S1-1. Data cleaning: Clean the collected data and process missing values, outliers, and duplicate values. Specific steps include calculating the missing value ratio, removing illogical characters, and removing duplicate values.

[0039] S1-2. Mining association relationships: Use correlation analysis technology to mine association relationships in data, and use cluster analysis. The cluster analysis formula is as follows:

[0040]

[0041] Among them, C i is the point set of the i-th cluster, μ i is the centroid of the ii-th cluster, K is the number of clusters, and x is the number of clusters belonging to C i data point, i is the centroid of the i-th cluster, ‖x-μ i ‖ 2 Represents the data point x and the cluster center μ i The square of the Euclidean distance between them;

[0042] S1-3. Data integration: Integrate the data based on the analysis results.

[0043] The simulation submodule performs simulation modeling on the data processed by the processing submodule through three-dimensional modeling technology. The simulation submodule adopts MATLAB software and uses mesh function for drawing.

[0044] The evaluation module includes a risk submodule and an assessment submodule. The risk submodule performs risk analysis on the virtual module simulation process. The risk submodule calculates the risk using a comparison formula, which is as follows:

[0045]

[0046] Among them, Q i The actual new energy circulation situation is different from the new energy circulation situation simulated by the simulation submodule at the i-th position, q i is the risk rate generated by the difference between the actual new energy circulation situation and the new energy circulation situation simulated by the simulation sub-module at the i-th place, n is the total number of differences between the new energy circulation situation simulated by the simulation sub-module and the actual new energy circulation situation, if 0.3≥S>0, the actual new energy circulation situation has low risk, if 0.5≥S>0.3, the actual new energy circulation situation has general risk, if 1≥S>0.5, the actual new energy circulation situation has high risk.

[0047] The assessment submodule performs assessment based on the results of the risk submodule analysis. The assessment submodule judges the actual new energy circulation situation based on the risks analyzed by the risk submodule.

[0048] The decision-making unit generates a control plan based on the results of calculation and analysis by the computing unit. The decision-making unit includes an AI module, a detection module and a screening module. The AI module searches for previous problem-solving solutions on the official website through keyword search technology. The AI module also searches for problem-solving solutions on the Internet through keyword search technology. The detection module detects the solutions searched by the AI module based on the number of times the solutions are applied. The screening module selects 3-5 optimal decision-making solutions based on the results of the detection module.

[0049] The feedback unit is used to send the control plan generated by the decision-making unit and the results calculated by the calculation unit to the maintenance unit. The feedback unit is established through text message push technology, and the feedback unit sends information to the maintenance unit through SMS, email, and WeChat push.

[0050] Working principle: When using energy equipment to supply energy, multiple energy equipment can be placed in divided positions first, and then the system can be arranged to monitor the energy equipment. During this process, the marking unit will classify and mark different energy equipment according to the RFID tag, and then the interface module in the access unit will obtain the operating data of the marked energy equipment through the API interface technology, and store the obtained operating data in the storage module. The subsequent calculation unit will build a three-dimensional simulation model based on the new energy flow data of the energy equipment, and the calculation unit will also conduct a risk analysis on the virtual module simulation process, and will subsequently evaluate the new energy flow of the energy equipment based on the results. The subsequent decision-making unit will search for previous problem solutions on the official website through keyword search technology, and also search for problem solutions on the Internet through keyword search technology, and then test the solutions searched by the AI module through the number of application of the solutions, and screen out 3-5 optimal decision solutions based on the results of the detection module. After that, the feedback unit will transmit the decision solution to the maintenance unit, so that the maintenance unit can repair the new energy flow of the energy equipment in time.

[0051] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

Claims

1. A new energy flow tracking and evaluation system for energy equipment based on traceability technology, including multiple cloud data analysis modules, characterized by: Multiple cloud data analysis modules are designed in parallel, each of which includes a marking unit, an access unit, a computing unit, a decision unit, and a feedback unit; The marking unit is used to mark the energy equipment used for power generation; The access unit is used to receive the operating data of the energy equipment during power generation; The computing unit is used to perform computing and analytical processing on the data accessed by the access unit; The decision-making unit generates a control plan based on the results of calculation and analysis by the calculation unit; The feedback unit is used to send the control plan generated by the decision unit and the results calculated by the calculation unit to the maintenance unit; The calculation unit includes a virtual module, a calculation module, and an evaluation module. The virtual module includes an acquisition submodule, a processing submodule, and a simulation submodule. The acquisition submodule is used to collect previous energy equipment new energy flow data. The processing submodule is used to classify and process the data, and the processing submodule also analyzes the data through correlation analysis technology. The simulation submodule uses three-dimensional modeling technology to perform simulation modeling on the data processed by the processing submodule. The evaluation module includes a risk submodule and an assessment submodule. The risk submodule performs risk analysis through the process of simulating the virtual module, and the assessment submodule performs assessment based on the results of the risk submodule analysis.

2. The energy equipment new energy circulation tracking and evaluation system based on traceability technology according to claim 1 is characterized in that: The marking unit is constructed by RFID technology, and the marking unit performs classification marking processing according to the RFID tags of different energy devices during marking.

3. The energy equipment new energy circulation tracking and evaluation system based on traceability technology according to claim 1 is characterized in that: The access unit includes an interface module and a storage module. The interface module obtains the operating data of the marked energy equipment through API interface technology. The storage module stores the operating data obtained by the interface module by building a cloud database. The transportation data includes the energy equipment's new energy production data, transmission data and consumption data.

4. The energy equipment new energy circulation tracking and evaluation system based on traceability technology according to claim 1 is characterized in that: The acquisition submodule obtains past data by logging into the official website, and the processing submodule performs classification and processing based on the new energy production mode and flow direction.

5. The energy equipment new energy circulation tracking and evaluation system based on traceability technology according to claim 1 is characterized in that: The processing submodule performs data correlation analysis as follows: S1-1. Data cleaning: Clean the collected data and process missing values, outliers, and duplicate values. Specific steps include calculating the missing value ratio, removing illogical characters, and removing duplicate values. S1-2. Mining association relationships: Use correlation analysis technology to mine association relationships in data, and use cluster analysis. The cluster analysis formula is as follows: Among them, C i is the point set of the i-th cluster, μ i is the centroid of the ii-th cluster, K is the number of clusters, and x is the number of clusters belonging to C i data point, i is the centroid of the i-th cluster, ||x-μ i || 2 Represents the data point x and the cluster center μ i The square of the Euclidean distance between them; S1-3. Data integration: Integrate the data based on the analysis results.

6. The energy equipment and new energy circulation tracking and evaluation system based on traceability technology according to claim 1 is characterized in that: The simulation submodule adopts MATLAB software and is drawn using the mesh function.

7. The energy equipment and new energy circulation tracking and evaluation system based on traceability technology according to claim 1 is characterized in that: The risk submodule calculates risk using a comparison formula, and the comparison formula is as follows: Among them, Qi is the difference between the actual new energy flow situation and the new energy flow situation simulated by the simulation submodule at the i-th place, qi is the risk rate caused by the difference between the actual new energy flow situation and the new energy flow situation simulated by the simulation submodule at the i-th place, n is the total number of differences between the new energy flow situation simulated by the simulation submodule and the actual new energy flow situation, if 0.3 ≥ S > 0, the actual new energy flow situation has a low risk, if 0.5 ≥ S > 0.3, the actual new energy flow situation has a general risk, if 1 ≥ S > 0.5, the actual new energy flow situation has a high risk; The assessment submodule judges the actual new energy circulation situation through the risks analyzed by the risk submodule.

8. The energy equipment new energy circulation tracking and evaluation system based on traceability technology according to claim 1 is characterized in that: The decision-making unit includes an AI module, a detection module and a screening module. The AI module searches for previous problem solutions on the official website through keyword search technology. The AI module also searches for problem solutions on the Internet through keyword search technology.

9. The energy equipment new energy circulation tracking and evaluation system based on traceability technology according to claim 8 is characterized in that: The detection module detects the solutions searched by the AI module based on the number of solution applications, and the screening module selects 3-5 optimal decision solutions based on the detection results of the detection module.

10. The energy equipment and new energy circulation tracking and evaluation system based on traceability technology according to claim 1 is characterized in that: The feedback unit is established through text message push technology, and the feedback unit sends information to the maintenance unit through SMS, email, or WeChat push.

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