Block chain equipment monitoring system based on completely homomorphic encryption technology

Abstract

The invention provides a block chain equipment monitoring system based on a complete homomorphic encryption technology, and relates to the technical field of equipment monitoring, and the system comprises a data collection module which is used for collecting target data of to-be-monitored equipment, and the target data comprises operation state data of the to-be-monitored equipment and health state data of the to-be-monitored equipment; the trusted computing module is used for ensuring the authenticity and non-tampering property of the target data; the homomorphic encryption module is used for performing complete homomorphic encryption on the target data to obtain a return data packet; the data signature module is used for carrying out identity identification by using a digital certificate and carrying out digital signature on the returned data packet; the secure storage module is used for storing the target data and the returned data packet; and the data transmission module is used for transmitting the encrypted and signed return data packet to the intelligent gateway equipment. According to the method, the equipment monitoring data is encrypted by adopting a completely homomorphic encryption technology, so that the security of the data in the transmission, storage and calculation processes is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring, and in particular to a blockchain equipment monitoring system based on fully homomorphic encryption technology. Background Art

[0002] Smart device monitoring is widely used in various IoT scenarios such as smart manufacturing, smart healthcare, and smart cities. However, existing device monitoring systems face many challenges in terms of data confidentiality, authenticity, integrity, and reliability. For example, data may be stolen or tampered with during transmission, resulting in the inability to accurately monitor the operating status and health of the device. Therefore, developing a device monitoring system that can ensure data confidentiality, authenticity, integrity, and reliability has become an urgent need in the industry.

[0003] Blockchain technology has the characteristics of decentralization and immutability, which can effectively solve the authenticity and integrity problems of data storage. However, the transparency and distribution characteristics of the blockchain system pose a challenge to the confidentiality of on-chain data. How to protect the confidentiality and security of on-chain data while using the characteristics of blockchain distributed consensus to achieve reliable data verification and processing is an urgent problem to be solved in current blockchain applications.

[0004] Therefore, a blockchain device monitoring system based on fully homomorphic encryption technology is proposed. Summary of the invention

[0005] This specification provides a blockchain device monitoring system based on fully homomorphic encryption technology, which uses fully homomorphic encryption technology to encrypt device monitoring data to ensure the security of data during transmission, storage and calculation.

[0006] This specification provides a blockchain device monitoring system based on fully homomorphic encryption technology, including: Data collection terminals, intelligent gateway devices, blockchain devices, and online monitoring platforms; The device to be monitored is electrically connected to the data acquisition terminal, the data acquisition terminal is electrically connected to the intelligent gateway device, the intelligent gateway device is electrically connected to the blockchain device, and the blockchain device is electrically connected to the online monitoring platform; The device to be monitored is electrically connected to the data acquisition terminal, and the data acquisition terminal is electrically connected to the intelligent gateway device, including: The data acquisition terminal includes a data acquisition module, a trusted computing module, a homomorphic encryption module, a data signature module, a secure storage module, and a data transmission module; the data acquisition module is used to collect target data of the device to be monitored, and the target data includes the operating status data of the device to be monitored and the health status data of the device to be monitored; the trusted computing module is used to ensure the authenticity and non-tamperability of the target data; the homomorphic encryption module is used to perform fully homomorphic encryption on the target data to obtain a return data packet; the data signature module is used to use a digital certificate for identity identification and digitally sign the return data packet; the secure storage module is used to store the target data and the return data packet for storage; the data transmission module is used to transmit the encrypted and signed return data packet to the intelligent gateway device.

[0007] Optionally, the intelligent gateway device is electrically connected to the blockchain device, including: The intelligent gateway device receives the return data packet and performs signature verification on the return data packet; When the intelligent gateway device determines that the signature verification of the return data packet passes, the return data packet is parsed, and the parsed return data packet is written into the smart contract of the blockchain device.

[0008] Optionally, the intelligent gateway device is electrically connected to the blockchain device, and further includes: When the intelligent gateway device determines that the signature verification of the return data packet fails, the return data packet is determined to be an illegal data packet and the return data packet is discarded.

[0009] Optionally, the blockchain device is electrically connected to the online monitoring platform, including: The online monitoring platform obtains the feedback data through the blockchain device; The online monitoring platform analyzes the returned data to obtain the monitoring and analysis results of the equipment to be monitored; The online monitoring platform writes the monitoring and analysis results back to the blockchain device.

[0010] Optionally, the online monitoring platform analyzes the returned data, including: Analyzing the returned data by using a statistical process control model; and / or, Analyzing the feedback data through a time series prediction model; and / or, Analyzing the returned data by using a decision tree model; and / or, Analyzing the returned data by using a support vector machine; and / or, The returned data is analyzed through a deep learning model.

[0011] Optionally, analyzing the returned data by using a statistical process control model includes: Calculating the statistical characteristics of the returned data, and using the statistical characteristics to construct a control chart for monitoring the stability of the equipment operation status; Identify abnormal data points in the returned data to implement fault warning for the device to be monitored.

[0012] Optionally, analyzing the returned data by using a decision tree model includes: Build decision tree models for classification and regression analysis; Identify key factors that affect equipment operating status; According to the analysis results of the decision tree model, the fault diagnosis and health status assessment scheme of the equipment to be monitored is adjusted in real time.

[0013] Optionally, obtaining the monitoring and analysis results of the device to be monitored further includes: The different analysis results are fused and analyzed, and the monitoring analysis result of the device to be monitored is generated based on the result of the fusion analysis.

[0014] Optionally, also include: Establish cross-chain connections with other blockchain platforms to achieve cross-chain sharing and collaborative analysis of equipment monitoring data; Cross-chain homomorphic encryption technology is used to ensure data security and privacy protection during cross-chain data interaction.

[0015] Optionally, also include: Deploy lightweight homomorphic encryption algorithms and edge computing models on data collection terminals or smart gateway devices; Perform localized homomorphic computing and real-time analysis on equipment monitoring data to reduce data transmission volume and cloud computing pressure; Collaboratively integrate local analysis results with cloud analysis results to improve the accuracy and real-time performance of data analysis.

[0016] The present invention uses fully homomorphic encryption technology to encrypt device monitoring data to ensure the security of data during transmission, storage and calculation, and even if the data is stolen, it cannot be decrypted. The encrypted device monitoring data is stored on the blockchain, and only authorized nodes can decrypt and access the data, effectively protecting data privacy. Blockchain technology has the characteristics of being tamper-proof, which can ensure the authenticity and traceability of device monitoring data. The system built on blockchain technology has good scalability and can easily access new device nodes and authorized nodes. The online monitoring platform provides a variety of data analysis methods and supports data fusion analysis, which can meet the data analysis needs in different scenarios. Localized real-time analysis is performed on the data acquisition terminal or intelligent gateway device to reduce the amount of data transmission and cloud computing pressure, and improve the real-time performance of data analysis. The localized analysis results are collaboratively integrated with the cloud analysis results to improve the accuracy of data analysis. Support cross-chain connection with other blockchain platforms to realize cross-chain sharing and collaborative analysis of device monitoring data. Deploy lightweight homomorphic encryption algorithms and edge computing models on data acquisition terminals or intelligent gateway devices to realize localized homomorphic computing and real-time analysis of device monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A schematic diagram of the structure of a blockchain device monitoring system based on fully homomorphic encryption technology provided in an embodiment of this specification; Figure 2 A schematic diagram of the principle of the data acquisition device provided in the embodiments of this specification; Figure 3 A schematic diagram of the principle of the intelligent gateway device provided in the embodiments of this specification; Figure 4 This is a schematic diagram of the principle of the online monitoring platform provided in the embodiments of this specification. DETAILED DESCRIPTION

[0019] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0020] The following is combined with Figure 1-4 The exemplary embodiments of the present invention are described more fully. However, the exemplary embodiments can be implemented in various forms, and it should not be understood that the present invention is limited to the embodiments set forth herein. On the contrary, providing these exemplary embodiments can make the present invention more comprehensive and complete, and it is more convenient to fully convey the inventive concept to those skilled in the art. The same reference numerals in the figures represent the same or similar elements, components or parts, and thus their repeated description will be omitted.

[0021] Under the premise of being consistent with the technical concept of the present invention, the features, structures, characteristics or other details described in a specific embodiment do not exclude that they can be combined in one or more other embodiments in a suitable manner.

[0022] In the description of specific embodiments, the features, structures, characteristics or other details described in the present invention are intended to enable those skilled in the art to fully understand the embodiments. However, it does not exclude that those skilled in the art can practice the technical solutions of the present invention without one or more of the specific features, structures, characteristics or other details.

[0023] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0024] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0025] The term "and / or" or "and / or" includes all combinations of any one or more of the associated listed items.

[0026] A blockchain device monitoring system based on fully homomorphic encryption technology provided in the embodiments of this specification includes: Data collection terminals, intelligent gateway devices, blockchain devices, and online monitoring platforms; The device to be monitored is electrically connected to the data acquisition terminal, the data acquisition terminal is electrically connected to the intelligent gateway device, the intelligent gateway device is electrically connected to the blockchain device, and the blockchain device is electrically connected to the online monitoring platform; The device to be monitored is electrically connected to the data acquisition terminal, and the data acquisition terminal is electrically connected to the intelligent gateway device, including: The data acquisition terminal includes a data acquisition module, a trusted computing module, a homomorphic encryption module, a data signature module, a secure storage module, and a data transmission module; the data acquisition module is used to collect target data of the device to be monitored, and the target data includes the operating status data of the device to be monitored and the health status data of the device to be monitored; the trusted computing module is used to ensure the authenticity and non-tamperability of the target data; the homomorphic encryption module is used to perform fully homomorphic encryption on the target data to obtain a return data packet; the data signature module is used to use a digital certificate for identity identification and digitally sign the return data packet; the secure storage module is used to store the target data and the return data packet for storage; the data transmission module is used to transmit the encrypted and signed return data packet to the intelligent gateway device.

[0027] In the specific implementation of this specification, Figure 1 As shown, the data acquisition module collects the operating status data (such as temperature, humidity, pressure, vibration, etc.) and health status data (such as equipment running time, fault records, maintenance records, etc.) of the monitored equipment through sensors, data interfaces, etc. The trusted computing module uses the trusted execution environment (TEE) technology to build a secure and isolated trusted execution environment inside the data acquisition terminal to perform integrity verification on the collected target data to ensure that the data has not been tampered with. The homomorphic encryption module uses a fully homomorphic encryption algorithm based on lattice cryptography to encrypt the target data that has passed the verification to obtain a return data packet. The fully homomorphic encryption algorithm supports the calculation of data in the ciphertext state, and the calculation result is consistent with the result of the same calculation on the plaintext data after decryption. The data signature module uses the private key of the data acquisition terminal to digitally sign the return data packet, and attaches the digital certificate of the data acquisition terminal to the return data packet to verify the source and integrity of the data. The secure storage module locally encrypts and stores the target data and the return data packet to prevent data leakage. The data transmission module transmits the encrypted and signed return data packet to the intelligent gateway device through a secure communication protocol (such as TLS / SSL).

[0028] Optionally, the intelligent gateway device is electrically connected to the blockchain device, including: The intelligent gateway device receives the return data packet and performs signature verification on the return data packet; When the intelligent gateway device determines that the signature verification of the return data packet passes, the return data packet is parsed, and the parsed return data packet is written into the smart contract of the blockchain device.

[0029] In the specific implementation of this specification, Figure 2As shown, the return data packet from the data acquisition terminal is received, and the digital signature of the return data packet is verified using the digital certificate of the data acquisition terminal to confirm that the data source is authentic and reliable; the return data packet is hashed and compared with the hash value in the digital signature to confirm data integrity. The return data packet that passes the signature verification is parsed to extract the encrypted target data, the identifier of the data acquisition terminal, the timestamp and other information.

[0030] The parsed return data packet is written into the smart contract of the blockchain device. Specifically, the interface of the smart contract is called, and the encrypted target data, the identifier of the data acquisition terminal, the timestamp and other information are passed in as parameters. The smart contract stores the received data on the blockchain and generates the corresponding transaction record. The smart contract triggers the corresponding event to notify the online monitoring platform that new data has been uploaded.

[0031] Optionally, the intelligent gateway device is electrically connected to the blockchain device, and further includes: When the intelligent gateway device determines that the signature verification of the return data packet fails, the return data packet is determined to be an illegal data packet and the return data packet is discarded.

[0032] In the specific implementation of this specification, abnormal events are recorded, including the content of the return data packet, the identifier of the data acquisition terminal, the timestamp and other information. The abnormal events are reported to the online monitoring platform for further analysis and processing. The return data packet is discarded to prevent illegal data packets from entering the system.

[0033] Optionally, the blockchain device is electrically connected to the online monitoring platform, including: The online monitoring platform obtains the feedback data through the blockchain device; The online monitoring platform analyzes the returned data to obtain the monitoring and analysis results of the equipment to be monitored; The online monitoring platform writes the monitoring and analysis results back to the blockchain device.

[0034] In the specific implementation of this specification, Figure 3 As shown in the figure, call the smart contract interface of the blockchain device to query the return data within the specified time range. Download the encrypted return data packet from the blockchain device. Use the private key of the authorized node to decrypt the return data packet to obtain the target data. Analyze the target data to generate equipment operation status report, health status assessment report, fault warning information, etc. Display the analysis results to the user in the form of charts, reports, etc. Encrypt the monitoring and analysis results and package them into a data packet, call the smart contract interface of the blockchain device, write the data packet into the blockchain, and the smart contract stores the received data on the blockchain and generates the corresponding transaction record.

[0035] Optionally, the online monitoring platform analyzes the returned data, including: Analyzing the returned data by using a statistical process control model; and / or, Analyzing the feedback data through a time series prediction model; and / or, Analyzing the returned data by using a decision tree model; and / or, Analyzing the returned data by using a support vector machine; and / or, The returned data is analyzed through a deep learning model.

[0036] In a specific implementation of the present specification, the feedback data is analyzed by a time series prediction model. Specifically, a time series model, such as an ARIMA model, an exponential smoothing model, etc., is constructed to predict the future operating status of the equipment; identify equipment operating trends and periodic changes, and make predictions; and formulate equipment maintenance plans and optimize operating strategies based on the prediction results.

[0037] The feedback data is analyzed by a support vector machine. Specifically, a support vector machine model is constructed for classification and regression analysis; nonlinear relationships between equipment operating states are identified; and equipment fault warning and operation optimization strategies are formulated based on the analysis results of the support vector machine model.

[0038] The feedback data is analyzed by a deep learning model. Specifically, a deep learning model, such as a convolutional neural network, a recurrent neural network, etc., is constructed to process high-dimensional, unstructured data; complex patterns and features of equipment operating status are identified; and equipment fault prediction, health status assessment, and operation optimization are achieved based on the analysis results of the deep learning model.

[0039] Optionally, analyzing the returned data by using a statistical process control model includes: Calculating the statistical characteristics of the returned data, and using the statistical characteristics to construct a control chart for monitoring the stability of the equipment operation status; Identify abnormal data points in the returned data to implement fault warning for the device to be monitored.

[0040] In a specific implementation of the present specification, the statistical characteristics of the returned data, such as mean, variance, standard deviation, etc., are calculated; control charts, such as X-bar charts, R charts, etc., are constructed to monitor the stability of the equipment operation status; abnormal data points during the equipment operation process are identified, and early warnings are issued.

[0041] Optionally, analyzing the returned data by using a decision tree model includes: Build decision tree models for classification and regression analysis; Identify key factors that affect equipment operating status; According to the analysis results of the decision tree model, the fault diagnosis and health status assessment scheme of the equipment to be monitored is adjusted in real time.

[0042] Optionally, obtaining the monitoring and analysis results of the device to be monitored further includes: The different analysis results are fused and analyzed, and the monitoring analysis result of the device to be monitored is generated based on the result of the fusion analysis.

[0043] In the specific implementation of this specification, the results of different analysis models are standardized to eliminate the influence of dimension and order of magnitude. Key features are extracted from the results of different analysis models, such as the number of abnormal data points, the confidence of the prediction results, etc. The results of different analysis models are fused using weighted average, voting method, stacking and other methods to generate the final monitoring analysis results.

[0044] Optionally, also include: Establish cross-chain connections with other blockchain platforms to achieve cross-chain sharing and collaborative analysis of equipment monitoring data; Cross-chain homomorphic encryption technology is used to ensure data security and privacy protection during cross-chain data interaction.

[0045] In the specific implementation of this specification, a suitable cross-chain protocol is selected, such as Cosmos, Polkadot, etc.; a cross-chain gateway is deployed to realize communication and data transmission between different blockchain platforms; and cross-chain routing rules are configured to specify data forwarding paths and access rights.

[0046] The device monitoring data on this blockchain platform is encrypted and packaged into a data packet; the data packet is forwarded to the target blockchain platform through the cross-chain gateway; the target blockchain platform receives the data packet, decrypts it and stores it.

[0047] Call the smart contract interface of the target blockchain platform to obtain the required equipment monitoring data; integrate the obtained equipment monitoring data with local data for analysis; and write the analysis results back to the target blockchain platform.

[0048] Optionally, also include: Deploy lightweight homomorphic encryption algorithms and edge computing models on data collection terminals or smart gateway devices; Perform localized homomorphic computing and real-time analysis on equipment monitoring data to reduce data transmission volume and cloud computing pressure; Collaboratively integrate local analysis results with cloud analysis results to improve the accuracy and real-time performance of data analysis.

[0049] In the specific implementation of this specification, a suitable lightweight homomorphic encryption algorithm is selected, such as BFV, CKKS, etc.; the lightweight homomorphic encryption algorithm is compiled into a code that can be run on an embedded device; and the compiled code is deployed to a data acquisition terminal or an intelligent gateway device.

[0050] Select a suitable edge computing model, such as decision tree, support vector machine, neural network, etc.; train the edge computing model into a model that can run on embedded devices; deploy the trained model to the data acquisition terminal or smart gateway device.

[0051] Use a lightweight homomorphic encryption algorithm to encrypt device monitoring data; use an edge computing model in a ciphertext state to perform real-time analysis on device monitoring data; and encrypt the analysis results and store them locally.

[0052] The local analysis results are encrypted and transmitted to the cloud; the cloud decrypts the local analysis results and performs a fusion analysis with the cloud analysis results; the fusion analysis results are transmitted back to the data acquisition terminal or smart gateway device.

[0053] The present invention uses fully homomorphic encryption technology to encrypt device monitoring data to ensure the security of data during transmission, storage and calculation, and even if the data is stolen, it cannot be decrypted. The encrypted device monitoring data is stored on the blockchain, and only authorized nodes can decrypt and access the data, effectively protecting data privacy. Blockchain technology has the characteristics of being tamper-proof, which can ensure the authenticity and traceability of device monitoring data. The system built on blockchain technology has good scalability and can easily access new device nodes and authorized nodes. The online monitoring platform provides a variety of data analysis methods and supports data fusion analysis, which can meet the data analysis needs in different scenarios. Localized real-time analysis is performed on the data acquisition terminal or intelligent gateway device to reduce the amount of data transmission and cloud computing pressure, and improve the real-time performance of data analysis. The localized analysis results are collaboratively integrated with the cloud analysis results to improve the accuracy of data analysis. Support cross-chain connection with other blockchain platforms to realize cross-chain sharing and collaborative analysis of device monitoring data. Deploy lightweight homomorphic encryption algorithms and edge computing models on data acquisition terminals or intelligent gateway devices to realize localized homomorphic computing and real-time analysis of device monitoring data.

[0054] The present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that general data processing devices such as microprocessors or digital signal processors (DSPs) may be used in practice to implement some or all of the functions of some or all of the components in the embodiments of the present invention. The present invention may also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program for implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0055] The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the present invention is not inherently related to any specific computer, virtual device or electronic device, and various general devices can also implement the present invention. The above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0056] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0057] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A blockchain device monitoring system based on fully homomorphic encryption technology, characterized in that: include: Data collection terminals, intelligent gateway devices, blockchain devices, and online monitoring platforms; The device to be monitored is electrically connected to the data acquisition terminal, the data acquisition terminal is electrically connected to the intelligent gateway device, the intelligent gateway device is electrically connected to the blockchain device, and the blockchain device is electrically connected to the online monitoring platform; The device to be monitored is electrically connected to the data acquisition terminal, and the data acquisition terminal is electrically connected to the intelligent gateway device, including: The data acquisition terminal includes a data acquisition module, a trusted computing module, a homomorphic encryption module, a data signature module, a secure storage module, and a data transmission module; the data acquisition module is used to collect target data of the device to be monitored, and the target data includes the operating status data of the device to be monitored and the health status data of the device to be monitored; the trusted computing module is used to ensure the authenticity and non-tamperability of the target data; the homomorphic encryption module is used to perform fully homomorphic encryption on the target data to obtain a return data packet; the data signature module is used to use a digital certificate for identity identification and digitally sign the return data packet; the secure storage module is used to store the target data and the return data packet for storage; the data transmission module is used to transmit the encrypted and signed return data packet to the intelligent gateway device.

2. The blockchain device monitoring system based on fully homomorphic encryption technology according to claim 1, characterized in that: The intelligent gateway device is electrically connected to the blockchain device, including: The intelligent gateway device receives the return data packet and performs signature verification on the return data packet; When the intelligent gateway device determines that the signature verification of the return data packet passes, the return data packet is parsed, and the parsed return data packet is written into the smart contract of the blockchain device.

3. The blockchain device monitoring system based on fully homomorphic encryption technology as claimed in claim 2, characterized in that: The intelligent gateway device is electrically connected to the blockchain device, and further includes: When the intelligent gateway device determines that the signature verification of the return data packet fails, the return data packet is determined to be an illegal data packet and the return data packet is discarded.

4. The blockchain device monitoring system based on fully homomorphic encryption technology as claimed in claim 3 is characterized in that: The blockchain device is electrically connected to the online monitoring platform, including: The online monitoring platform obtains the feedback data through the blockchain device; The online monitoring platform analyzes the returned data to obtain the monitoring and analysis results of the equipment to be monitored; The online monitoring platform writes the monitoring and analysis results back to the blockchain device.

5. The blockchain device monitoring system based on fully homomorphic encryption technology as claimed in claim 4, characterized in that: The online monitoring platform analyzes the returned data, including: Analyzing the returned data by using a statistical process control model; and / or, Analyzing the feedback data through a time series prediction model; and / or, Analyzing the returned data by using a decision tree model; and / or, Analyzing the returned data by using a support vector machine; and / or, The returned data is analyzed through a deep learning model.

6. The blockchain device monitoring system based on fully homomorphic encryption technology as claimed in claim 5, characterized in that: The analyzing the returned data by using a statistical process control model includes: Calculating the statistical characteristics of the returned data, and using the statistical characteristics to construct a control chart for monitoring the stability of the equipment operation status; Identify abnormal data points in the returned data to implement fault warning for the device to be monitored.

7. The blockchain device monitoring system based on fully homomorphic encryption technology as claimed in claim 6, characterized in that: The analyzing the returned data by using a decision tree model includes: Build decision tree models for classification and regression analysis; Identify key factors that affect equipment operating status; According to the analysis results of the decision tree model, the fault diagnosis and health status assessment scheme of the equipment to be monitored is adjusted in real time.

8. The blockchain device monitoring system based on fully homomorphic encryption technology as claimed in claim 7, characterized in that: The obtaining of the monitoring and analysis results of the equipment to be monitored also includes: The different analysis results are fused and analyzed, and the monitoring analysis result of the device to be monitored is generated based on the result of the fusion analysis.

9. The blockchain device monitoring system based on fully homomorphic encryption technology as claimed in claim 8, characterized in that: Also includes: Establish cross-chain connections with other blockchain platforms to achieve cross-chain sharing and collaborative analysis of equipment monitoring data; Cross-chain homomorphic encryption technology is used to ensure data security and privacy protection during cross-chain data interaction.

10. The blockchain device monitoring system based on fully homomorphic encryption technology according to claim 9, characterized in that: Also includes: Deploy lightweight homomorphic encryption algorithms and edge computing models on data collection terminals or smart gateway devices; Perform localized homomorphic computing and real-time analysis on equipment monitoring data to reduce data transmission volume and cloud computing pressure; Collaboratively integrate local analysis results with cloud analysis results to improve the accuracy and real-time performance of data analysis.

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