New energy station data security sharing method

Abstract

The invention discloses a new energy station data security sharing method, which realizes data communication between stations through a block chain, and ensures security, integrity and high efficiency of data transmission in combination with a central processing unit and an encryption technology. The method comprises the steps of data acquisition, compression, encryption, multi-path transmission and closed-loop verification, a closed-loop data transmission network is formed, and no data omission is ensured. Meanwhile, a self-adaptive bandwidth adjusting function is adopted, the transmission rate is dynamically optimized, and different network conditions are adapted. The method effectively solves the problems that an existing data sharing method is insufficient in verification force and single in integrity guarantee mechanism under the emergency condition, is suitable for operation data sharing of new energy stations of wind power generation, photovoltaic power generation and the like, provides powerful support for emergency response and data analysis, and improves the efficiency and safety of data sharing.

Description

Technical Field

[0001] The present invention relates to the technical field of data sharing, and in particular to a method for securely sharing data at new energy stations, which is particularly suitable for data sharing and secure transmission at new energy stations such as wind power generation and photovoltaic power generation. Background Art

[0002] With the rapid development of new energy technologies, the scale of new energy stations such as wind power generation and photovoltaic power generation continues to expand. During the operation of new energy stations, natural disasters (such as typhoons and earthquakes), equipment failures, or other emergencies may occur, resulting in abnormal or lost station operation data.

[0003] Currently, existing data sharing methods mainly rely on traditional data transmission protocols and encryption technologies, but these methods have the following problems in emergency situations:

[0004] The verification capabilities of data transmitted by various departments are insufficient, and the data integrity assurance mechanism is single.

[0005] Therefore, a method to securely share new energy site data is urgently needed to improve the integrity verification of emergency response data. Summary of the Invention

[0006] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0007] In view of the problems existing in the above-mentioned existing data sharing methods, the present invention is proposed.

[0008] Therefore, the technical problem solved by the present invention is to solve the problem that the existing data sharing method has insufficient verification of transmitted data in emergency situations and a single integrity assurance mechanism.

[0009] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for secure data sharing of new energy stations, wherein the internal sites of the new energy station are connected to each other through a unified blockchain, and the central processor is configured synchronously, and the internal sites of the new energy station are connected to the central processor data; then, the secure sharing method includes the following steps: S1: a group of data acquisition terminals are set up in each internal site of the new energy station, and the operating data of the corresponding site, including equipment status, power generation and environmental parameters, are collected at uniform intervals, and a group of operating data sets are formed at uniform intervals; S2: the operating data set of the first site is compressed, and the compressed data set package is transmitted to the central processor and the second site closest to it. ; S3: The central processor and the second site closest to the central processor receive the compressed package of the first site operation data set, and synchronously upload the compressed package of the second site operation data set and the received compressed package of the first site operation data set to the central processor and the third site; S4: The central processor decompresses the compressed package of the first site operation data set uploaded by the first site and the compressed package of the first site operation data set uploaded by the second site, completes the comparison, obtains whether the integrity of the two upload results is consistent, and completes the verification of the integrity of the site transmission route; S5: Perform data transmission verification between the remaining sites in turn; S6: The central processor summarizes the verification results of each site and generates a security report; S7: Feedback the security report to the client.

[0010] As a preferred solution of the method for securely sharing data of new energy stations described in the present invention, after collecting the operating data of the station in step S1, the operating data is also preprocessed; wherein the preprocessing step specifically includes: data cleaning and formatting.

[0011] As a preferred solution of the new energy station data security sharing method described in the present invention, in which: in step S5, when performing data transmission verification between the remaining sites in turn, the data transmission relationship of the last selected site is connected to the first site, and the data set compression package of the last selected site and the data set compression package of the penultimate site are transmitted to the central processor and the first site, forming a closed-loop verification network to ensure that data transmission is not missed.

[0012] As a preferred solution of the new energy station data security sharing method described in the present invention, wherein: in step S2, an encryption algorithm is used when compressing the data set, and the central processing unit is adapted to the corresponding decryption algorithm; wherein the encryption algorithm is adapted to symmetric encryption or asymmetric encryption technology to ensure the security of data during transmission.

[0013] As a preferred solution of the new energy station data security sharing method described in the present invention, a data transmission channel of optical fiber, 5G network or satellite communication is constructed for high-speed data transmission.

[0014] As a preferred solution of the new energy station data security sharing method described in the present invention, the data transmission channel has an adaptive bandwidth adjustment function to ensure stable and efficient data transmission and avoid network congestion affecting data synchronization.

[0015] As a preferred solution of the method for securely sharing data of new energy stations described in the present invention, the adaptive bandwidth adjustment function dynamically adjusts the transmission rate according to the real-time network status.

[0016] As a preferred solution of the new energy station data security sharing method described in the present invention, the network data connection transmission range of the blockchain at least ensures network transmission at the maximum distance after the adjacent site selection.

[0017] The present invention provides a method for securely sharing data at new energy stations, which has the following beneficial effects:

[0018] 1. Enhanced data security: Data connectivity between sites is achieved through blockchain, ensuring data transparency and immutability, effectively preventing data from being tampered with or stolen during transmission. Symmetric or asymmetric encryption technology is used to encrypt and compress data, ensuring data security during transmission and preventing unauthorized access.

[0019] 2. Improve data transmission efficiency: By compressing data sets, reducing data volume, improving transmission efficiency, and saving bandwidth resources; supporting multiple data transmission methods such as optical fiber, 5G networks, and satellite communications, adapting to the needs of different scenarios, ensuring stable and efficient data transmission; dynamically adjusting the transmission rate according to real-time network conditions to avoid network congestion and improve data transmission efficiency;

[0020] 3. Ensure data integrity and reliability: Data transmission between each site is verified sequentially to ensure data integrity at each site. Data transmission from the last site is connected to the first site, forming a closed loop to avoid data transmission omissions and improve overall data transmission reliability. Data preprocessing ensures data quality and consistency and reduces data noise interference.

[0021] The present invention builds a safe, efficient and reliable data sharing system, ensuring the security, integrity and efficiency of data during transmission. It is suitable for sharing operating data of new energy sites such as wind power generation and photovoltaic power generation, providing strong support for emergency response and data analysis, and improving the efficiency and security of data sharing. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0023] Figure 1 This is a flow chart of the overall method for securely sharing data of new energy stations provided by the present invention. DETAILED DESCRIPTION

[0024] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0025] At present, existing data sharing methods mainly rely on traditional data transmission protocols and encryption technologies, resulting in insufficient verification of data transmitted by various departments, a single data integrity assurance mechanism, and an inability to efficiently and systematically verify the integrity of data transmission.

[0026] Therefore, the present invention provides a method for secure data sharing of new energy stations. Data is interconnected between internal sites of the new energy station through a unified blockchain, and a central processor is synchronously configured. All internal sites of the new energy station are data-connected with the central processor; data interconnection is achieved through blockchain technology, and data is synchronously ensured to be tamper-proof; the central processor monitors the integrity of data transmission status in real time.

[0027] Then, see Figure 1 , the secure sharing method includes the following steps:

[0028] S1: A set of data collection terminals is set up at each internal site of the new energy station to collect the operating data of the corresponding station at uniform intervals, including equipment status, power generation and environmental parameters, forming a set of operating data sets at uniform intervals;

[0029] S2: compressing the running data set of the first site and transmitting the data set compression package to the central processor and the nearest second site;

[0030] S3: The central processor and the nearest second site receive the compressed package of the first site's operating data set, and simultaneously upload the compressed package of the second site's operating data set and the received compressed package of the first site's operating data set to the central processor and the third site;

[0031] It should be noted that when selecting the nearest site, the present invention can directly optimize based on the physical distance. Of course, other selection methods are also not affected as long as they are within the range allowed by computing power. The present invention does not require the order of selection.

[0032] S4: The central processing unit decompresses the compressed package of the first site operation data set uploaded by the first site and the compressed package of the first site operation data set uploaded by the second site, completes the comparison, obtains whether the integrity of the two uploaded results is consistent, and completes the verification of the integrity of the site transmission route;

[0033] S5: Perform data transmission verification between the remaining sites in turn;

[0034] S6: The central processor summarizes the verification results of each site and generates a security report;

[0035] S7: Feedback the security report to the client.

[0036] Specifically, after collecting the operation data of the station in step S1, the operation data is also pre-processed;

[0037] The preprocessing steps specifically include: data cleaning and formatting.

[0038] It should be noted that the data preprocessing steps used in the present invention are all conventional processing steps, which will not be described in detail here. A brief description is as follows:

[0039] 1. Data cleaning is a crucial step in data preprocessing, which aims to identify and correct errors, inconsistencies or noise in the data to improve data quality. The following are the main tasks and methods of data cleaning:

[0040] ①Handling missing values:

[0041] Identify missing values: Identify missing values ​​in the data through statistical analysis or visualization tools.

[0042] Filling missing values: Depending on the specific situation, methods such as deleting records, imputing the mean, imputing the median, or using machine learning models to predict and fill missing values ​​are used to handle missing values.

[0043] Flagging missing values: In some cases, missing values ​​can be flagged for special treatment in subsequent analyses.

[0044] ②Handling duplicate data:

[0045] Identify duplicate records: Identify duplicate records through data deduplication algorithms.

[0046] Delete duplicate records: keep one record and delete the rest of the duplicate records to avoid data redundancy.

[0047] ③Processing noisy data:

[0048] Identify noise: Identify noise in the data, such as outliers, erroneous measurements, etc., through statistical analysis or domain knowledge.

[0049] Smoothing: Use smoothing techniques (such as moving average) to reduce the effects of noise.

[0050] Delete noise data: If the noise data cannot be corrected, delete the relevant records.

[0051] 2. Data formatting is to convert data into a format suitable for subsequent processing and analysis to ensure data consistency and standardization. The following are the main tasks and methods of data formatting:

[0052] ① Unified data types:

[0053] Data type conversion: Convert fields of different data types to a unified type, such as converting text values ​​to numeric types.

[0054] Data type check: Ensure that the data types of all data fields are consistent to avoid errors caused by type mismatch.

[0055] ② Unified unit:

[0056] Unit conversion: Convert data in different units into a unified unit, such as converting the length unit from meters to kilometers.

[0057] Unit standardization: Ensure that the units of all data fields are consistent to facilitate subsequent analysis and comparison.

[0058] ③Data grouping and aggregation:

[0059] Data grouping: Group data according to specific fields (such as time and region) to facilitate analysis by group.

[0060] Data aggregation: Summarize and calculate the grouped data, such as the sum and average of each group.

[0061] ④Data conversion:

[0062] Format conversion: Converting data from one format to another, such as converting text data into structured JSON format.

[0063] Encoding conversion: unify the character encoding, for example, converting data from GBK encoding to UTF-8 encoding.

[0064] ⑤Data normalization:

[0065] Field naming standardization: unify field naming rules to improve data readability and consistency.

[0066] Data structure normalization: Organize data into a standardized structure, such as flattening nested data into a flat structure.

[0067] Furthermore, in step S5, when the data transmission verification is performed between the remaining sites in turn, the data transmission relationship of the last selected site is connected to the first site, and the data set compression package of the last selected site and the data set compression package of the second to last site are transmitted to the central processor and the first site, forming a closed-loop verification network to ensure that data transmission is not missed.

[0068] It should be noted that the closed-loop verification network is described as follows:

[0069] 1. When there are three stations in total, the first station transmits its own compressed data packet to the central processing unit on one hand and to the second station on the other hand; the second station then transmits its own compressed data packet and the first station's compressed data packet to the central processing unit and the third station; the third station then transmits its own compressed data packet, the first station's compressed data packet, and the second station's compressed data packet to the central processing unit and the first station;

[0070] Analysis: During the maintenance process, it is only necessary to ensure that the two transmission routes of the first site are correct. Taking the compressed package data of the first site as the benchmark, its central processor receives a total of three copies of the data. If the three copies of data are consistent, it is considered that the remaining routes can be fully transmitted, and only the data from the third point to the first site needs to be inspected. At this time, it is only necessary to compare whether the first set of compressed packages received by the first site from the third site is complete. If it is complete, there is no problem with this route. If it is incomplete, the route should be inspected and modified accordingly. If the three copies of data are inconsistent, it is determined whether the first set of compressed packages transmitted from the second site to the central processor is correct. If not, the route is wrong, and the test should be continued after the inspection. If the test is correct, it proves that there is a problem with the route from the second site to the third site or the route from the third site to the CPU. At this time, observe the transmission of the compressed data packet at the second site. The CPU receives a total of two copies of the compressed data packet. Under the above premise, there must be inconsistencies between the compressed packets of these two data packets. Now analyze the second set of data packets received by the first site. If this data packet is inconsistent with the data packet transmitted to the CPU by the third site, then the route from the third site to the CPU is incorrect. After the corresponding maintenance, retest. If it is consistent, then it is correct. This proves that the route from the second site to the third site is incorrect and can be repaired accordingly. Similarly, if there are more sites, follow this logic recursively to ensure that the data packets at each site are cyclically verified.

[0071] 2. When there are n sites in total, the first site transmits its own compressed data package to the central processor on the one hand and to the second site on the other hand; the second site then transmits its own compressed data package and the first site's compressed data package to the central processor and the third site; until the n-1th site transmits its own compressed data package and all the data compressed packages of all previous sites to the central processor and the nth site; the nth site then transmits the data compressed packages of all sites and its own compressed data package back to the central processor and the first site, ensuring that the data of each site is complete and consistent, forming a seamless closed-loop verification system.

[0072] The analysis process is the same as above, and can be carried out according to the principle of layer-by-layer analysis.

[0073] Furthermore, in step S2, an encryption algorithm is used when compressing the data set, and the central processing unit adapts the corresponding decryption algorithm;

[0074] Among them, the encryption algorithm is adapted to symmetric encryption or asymmetric encryption technology to ensure the security of data during transmission.

[0075] It should be noted that:

[0076] ①Encryption algorithm selection:

[0077] Symmetric encryption: Fast and suitable for encrypting large amounts of data, such as AES (Advanced Encryption Standard).

[0078] Asymmetric encryption: High security, suitable for sensitive data encryption, such as RSA (Rivest-Shamir-Adleman).

[0079] ②Encryption process:

[0080] Symmetric encryption:

[0081] The data is encrypted at the sending end using an encryption key.

[0082] The data is decrypted at the receiving end using the same key.

[0083] Asymmetric encryption:

[0084] The data is encrypted at the sending end using the receiver's public key.

[0085] The data is decrypted at the receiving end using its own private key.

[0086] ③Advantages:

[0087] Symmetric encryption: It has fast encryption and decryption speeds and is suitable for real-time data transmission.

[0088] Asymmetric encryption: provides higher security and is suitable for scenarios with high requirements for data confidentiality.

[0089] ④Decryption function of the CPU:

[0090] The central processing unit configures the corresponding decryption algorithm to ensure that the data can be correctly decrypted and processed.

[0091] It supports multiple encryption algorithms and has good compatibility and scalability.

[0092] Furthermore, data transmission channels of optical fiber, 5G network or satellite communication are constructed for high-speed data transmission.

[0093] It should be noted that:

[0094] Fiber optic: fast transmission speed, high bandwidth, suitable for large-scale data transmission.

[0095] 5G network: fast transmission speed, low latency, suitable for real-time data transmission.

[0096] Satellite communication: has a wide coverage area and is suitable for data transmission in remote areas.

[0097] Furthermore, the data transmission channel has an adaptive bandwidth adjustment function to ensure stable and efficient data transmission and avoid network congestion affecting data synchronization.

[0098] Specifically, the adaptive bandwidth regulation function dynamically adjusts the transmission rate according to the real-time network conditions.

[0099] It should also be noted that the network data connection transmission range of the blockchain at least guarantees network transmission at the maximum distance after site adjacent selection.

[0100] It should be noted that the adaptive bandwidth adjustment function in the present invention can be based on existing mature algorithm models. In addition, the present invention also provides a new adaptive bandwidth adjustment mathematical model for reference:

[0101]

[0102] Where R(t) is the transmission rate at time t; R base is the basic transmission rate; B(t) is the bandwidth utilization at time t; B target is the target bandwidth utilization; D(t) is the network delay at time t; D target is the target network delay; L(t) is the packet loss rate at time t; k is the delay impact coefficient, which is used to adjust the impact of delay on the transmission rate.

[0103] in:

[0104] Bandwidth utilization adjustment factor: When the current bandwidth utilization B(t) is lower than the target bandwidth utilization Btarget When B(t) is higher than B target When the transmission rate is reduced, the transmission rate will be reduced to avoid bandwidth overload.

[0105] Network delay adjustment factor: This factor is based on the current network delay D(t) relative to the target delay D target The transmission rate is adjusted exponentially based on the ratio of latency to user experience. As latency increases, the transmission rate decreases accordingly to minimize the impact of latency on the user experience. The coefficient k is used to adjust the impact of latency on the transmission rate.

[0106] Packet loss rate adjustment factor: This factor is adjusted directly based on the current packet loss rate L(t). The higher the packet loss rate, the lower the transmission rate, which reduces data loss and improves transmission reliability.

[0107] Model advantages:

[0108] Multi-dimensional comprehensive adjustment: The model simultaneously considers three key network parameters: bandwidth utilization, network latency, and packet loss rate. It can fully reflect the network status and achieve more accurate bandwidth adjustment.

[0109] Dynamic Adaptation: Each adjustment factor is calculated based on real-time network parameters, which can quickly respond to changes in network status and ensure dynamic adjustment of transmission rate.

[0110] Adjustable parameters: By adjusting B target 、D target Parameters such as and k can adapt to the needs of different application scenarios and have strong flexibility and applicability.

[0111] The present invention provides a method for securely sharing data at new energy stations, which has the following beneficial effects:

[0112] 1. Enhanced data security: Data connectivity between sites is achieved through blockchain, ensuring data transparency and immutability, effectively preventing data from being tampered with or stolen during transmission. Symmetric or asymmetric encryption technology is used to encrypt and compress data, ensuring data security during transmission and preventing unauthorized access.

[0113] 2. Improve data transmission efficiency: By compressing data sets, reducing data volume, improving transmission efficiency, and saving bandwidth resources; supporting multiple data transmission methods such as optical fiber, 5G networks, and satellite communications, adapting to the needs of different scenarios, ensuring stable and efficient data transmission; dynamically adjusting the transmission rate according to real-time network conditions to avoid network congestion and improve data transmission efficiency;

[0114] 3. Ensure data integrity and reliability: Data transmission between each site is verified sequentially to ensure data integrity at each site. Data transmission from the last site is connected to the first site, forming a closed loop to avoid data transmission omissions and improve overall data transmission reliability. Data preprocessing ensures data quality and consistency and reduces data noise interference.

[0115] The present invention builds a safe, efficient and reliable data sharing system, ensuring the security, integrity and efficiency of data during transmission. It is suitable for sharing operating data of new energy sites such as wind power generation and photovoltaic power generation, providing strong support for emergency response and data analysis, and improving the efficiency and security of data sharing.

[0116] In order to verify the effectiveness of the present invention, the experimental verification process is designed as follows:

[0117] 1. Purpose of the study

[0118] Verify the technical effects of the new energy station data security sharing method in terms of data security, transmission efficiency, integrity, system stability and emergency response capabilities, and ensure that the method can meet actual application needs.

[0119] 2. Experimental Design

[0120] 2.1 Experimental scenario definition

[0121] Based on actual application requirements, the following test scenarios are defined:

[0122] Normal operation status: The network is in good condition and data transmission is normal.

[0123] Network congestion status: The network bandwidth is limited and there is a certain degree of network congestion.

[0124] Emergency situations: Simulate emergency situations such as natural disasters or equipment failures, requiring rapid data sharing.

[0125] 2.2 Test tools and equipment

[0126] Data collection terminal: used to collect operating data of new energy stations.

[0127] CPU: Coordinates data transfer and processing.

[0128] Encryption algorithm: uses symmetric encryption and asymmetric encryption technology.

[0129] Transmission channels: optical fiber, 5G network, satellite communication.

[0130] Testing equipment: network performance testing tools, data integrity verification tools, and security testing tools.

[0131] 2.3 Data Collection and Processing Process

[0132] Data collection: Data collection terminals are set up at each internal site of the new energy station to collect operating data such as equipment status, power generation and environmental parameters at even intervals to form an operating data set.

[0133] Data preprocessing: Clean and format the collected operating data to ensure data quality and consistency.

[0134] Data compression and encryption: compress the preprocessed data and encrypt it using an encryption algorithm.

[0135] Data transmission: Data is transmitted to the central processor and the nearest site via optical fiber, 5G network or satellite communication.

[0136] Data reception and decryption: The central processing unit and the receiving site decrypt and decompress the data.

[0137] Data Verification: The central processing unit compares data from different sites to verify the integrity of the data.

[0138] Closed-loop verification network: The data transmission of the last site is connected to the first site, forming a closed loop to ensure that data transmission is not missed.

[0139] Generate security report: The central processor summarizes the verification results of each site, generates a security report and feeds it back to the client.

[0140] 2.4 Evaluation Metrics

[0141] Data transfer speed: Tests the data transfer speed (MB / s) under different transmission channels.

[0142] Data integrity: Calculates the percentage of successfully transmitted data packets to the total number of data packets.

[0143] System Response Time: Measures the system response time (in seconds) under different network conditions.

[0144] Data security: Assess the probability (%) of data being tampered with or stolen during transmission.

[0145] Emergency Response Capability: Tests the system's ability to quickly share data in an emergency, including data transmission speed and integrity.

[0146] 3. Experimental Implementation

[0147] 3.1 Data transmission speed test

[0148] Purpose: To verify the data transmission speed under different transmission channels.

[0149] method:

[0150] Under normal operating conditions, data sets of the same size are transmitted using optical fiber, 5G network, and satellite communications respectively.

[0151] Record the data transmission time under each transmission channel and calculate the transmission speed.

[0152] result:

[0153] Transmission channel type Data volume (MB) Transfer time (seconds) Transfer speed (MB / s) optical fiber 100 1.2 83.33 5G network 100 2.5 40 Satellite communications 100 5.0 20

[0154] Conclusion: Fiber optic transmission is the fastest, followed by 5G networks, and satellite communication is the slowest. The adaptive bandwidth adjustment function shows good performance under different transmission channels.

[0155] 3.2 Data Integrity Verification

[0156] Purpose: To verify data integrity of multi-site data transmission and closed-loop verification networks.

[0157] method:

[0158] Under normal operating conditions, data transmission verification is carried out between each site in turn to form a closed-loop verification network.

[0159] Record the number of successfully transmitted data packets and the total number of data packets, and calculate the data integrity percentage.

[0160] result:

[0161] Transmission path Total number of data packets Number of successfully transmitted data packets Data integrity percentage (%) Site 1 → CPU + Site 2 1000 / 1000 1000 / 1000 100 Site 2 → CPU + Site 3 1691 / 1691 1691 / 1691 100 Site 3 → CPU + Site 1 3155 / 3155 3155 / 3155 100

[0162] Conclusion: Under normal operating conditions, data integrity was verified multiple times, which verified the effectiveness of the closed-loop verification network.

[0163] 3.3 System response time test

[0164] Purpose: To verify the system response time under different network conditions.

[0165] method:

[0166] The system response time is tested under normal operating conditions, network congestion conditions and emergency conditions.

[0167] Record the response time for each test and calculate the average response time.

[0168] result:

[0169] Network status Number of tests Response time (seconds) Average response time (seconds) Normal operating status 10 0.5, 0.6, 0.5, 0.6, 0.5, 0.6, 0.5, 0.6, 0.5, 0.6 0.55 Network congestion status 10 1.2, 1.3, 1.2, 1.3, 1.2, 1.3, 1.2, 1.3, 1.2, 1.3 1.25 emergency 10 0.8, 0.9, 0.8, 0.9, 0.8, 0.9, 0.8, 0.9, 0.8, 0.9 0.85

[0170] Conclusion: The system's response time is minimal under normal operation. It increases slightly under network congestion, but still meets basic requirements. In emergencies, the system responds quickly, demonstrating its effectiveness in these situations.

[0171] 3.4 Data Security Testing

[0172] Purpose: To verify the security of encryption algorithms during data transmission.

[0173] method:

[0174] Under normal operating conditions, data is transmitted using symmetric encryption and asymmetric encryption technologies respectively.

[0175] Simulate data tampering and theft behaviors, and record the data tampering rate and theft rate.

[0176] result:

[0177] Encryption algorithm type Data tampering rate (%) Data theft rate (%) Symmetric encryption 0 0 Asymmetric encryption 0 0

[0178] Conclusion: After using symmetric encryption and asymmetric encryption technology, the data was not tampered with or stolen during transmission, which verified the effectiveness of the encryption algorithm.

[0179] 3.5 Emergency Response Capability Verification

[0180] Purpose: To verify the system's ability to quickly share data in an emergency.

[0181] method:

[0182] Simulate emergency situations such as natural disasters or equipment failures to test the system's data transmission speed and integrity under emergency conditions.

[0183] Record data transfer speed and completion percentage.

[0184] result:

[0185] emergency Data volume (MB) Transfer time (seconds) Transfer speed (MB / s) Data integrity percentage (%) State of emergency 500 3.0 166.67 100

[0186] Conclusion: In an emergency, the system was able to quickly transmit large amounts of data with 100% data integrity, verifying its efficiency and reliability in emergency situations.

[0187] 4. Data Analysis and Conclusions

[0188] Through the analysis of various test data, the following conclusions can be drawn:

[0189] Data transmission efficiency: Fiber optic transmission is the fastest, followed by 5G networks, and satellite communications are the slowest. The adaptive bandwidth adjustment function demonstrates good performance across different transmission channels, ensuring stable and efficient data transmission.

[0190] Data integrity: Under normal operating conditions, data integrity is verified multiple times, verifying the effectiveness of the closed-loop verification network and ensuring that data is transmitted without omission.

[0191] System stability: The system's response time is minimal during normal operation. While it may increase during network congestion, it still meets basic requirements. In emergencies, the system's rapid response demonstrates its effectiveness in these situations.

[0192] Data security: After adopting symmetric encryption and asymmetric encryption technology, the data is not tampered with or stolen during transmission, which verifies the effectiveness of the encryption algorithm and ensures the security of the data.

[0193] Emergency response capability: In an emergency, the system is able to quickly transmit large amounts of data, and the data integrity is verified multiple times, proving its efficiency and reliability in emergency situations.

[0194] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for securely sharing data at new energy stations, characterized by: The internal sites of the new energy station are connected to each other through a unified blockchain, and the central processor is configured synchronously. All internal sites of the new energy station are connected to the central processor; Then, the secure sharing method comprises the following steps: S1: A set of data collection terminals is set up at each internal site of the new energy station to collect the operating data of the corresponding station at uniform intervals, including equipment status, power generation and environmental parameters, forming a set of operating data sets at uniform intervals; S2: compressing the operating data set of the first site, and transmitting the compressed data set package to the central processor and the nearest second site; S3: The central processor and the nearest second site receive the compressed package of the first site operation data set, and synchronously upload the compressed package of the second site operation data set and the received compressed package of the first site operation data set to the central processor and the third site; S4: The central processor decompresses the compressed package of the first site operation data set uploaded by the first site and the compressed package of the first site operation data set uploaded by the second site, performs a comparison, obtains whether the integrity of the two uploaded results is consistent, and completes the verification of the integrity of the site transmission route; S5: Perform data transmission verification between the remaining sites in turn; S6: The central processor summarizes the verification results of each site and generates a security report; S7: Feedback the security report to the client.

2. The method for securely sharing data at new energy stations according to claim 1, characterized in that: After collecting the operation data of the station in step S1, the operation data is also pre-processed; The preprocessing steps specifically include: data cleaning and formatting.

3. The method for securely sharing data at new energy stations according to claim 2, characterized in that: In step S5, when verifying the data transmission between the remaining sites in turn, the data transmission relationship of the last selected site is connected to the first site, and the data set compression package of the last selected site and the data set compression package of the second-to-last site are transmitted to the central processor and the first site to form a closed-loop verification network to ensure that data transmission is not missed.

4. The method for securely sharing data at new energy stations according to claim 3 is characterized by: In step S2, an encryption algorithm is used when compressing the data set, and the central processing unit adapts the corresponding decryption algorithm; Among them, the encryption algorithm is adapted to symmetric encryption or asymmetric encryption technology to ensure the security of data during transmission.

5. The method for securely sharing data at new energy stations according to claim 4 is characterized by: Construct data transmission channels using optical fiber, 5G networks, or satellite communications for high-speed data transmission.

6. The method for securely sharing data at new energy stations according to claim 5, characterized in that: The data transmission channel has an adaptive bandwidth adjustment function to ensure stable and efficient data transmission and avoid network congestion affecting data synchronization.

7. The method for securely sharing data at new energy stations according to claim 6, characterized in that: Adaptive bandwidth regulation dynamically adjusts the transmission rate based on real-time network conditions.

8. The method for securely sharing data at new energy stations according to claim 7, characterized in that: The network data connection transmission range of the blockchain at least guarantees network transmission at the maximum distance after site adjacent selection.

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