Blockchain-based intelligent storage system for explosion injury remote diagnosis and treatment data

Abstract

The application discloses a kind of based on blockchain's explosion injury remote diagnosis and treatment data intelligent storage system, it is related to medical data storage technical field.The system includes: explosion injury diagnosis and treatment data monitoring module, diagnosis and treatment data block chain consensus evaluation module and explosion injury remote diagnosis and treatment data storage quality monitoring module.The present application obtains explosion injury diagnosis and treatment data monitoring result by executing explosion injury diagnosis and treatment data monitoring, obtains diagnosis and treatment data block chain consensus evaluation result by executing diagnosis and treatment data block chain consensus evaluation, obtains explosion injury remote diagnosis and treatment data storage quality monitoring result by executing explosion injury remote diagnosis and treatment data storage quality monitoring, realizes the improvement of explosion injury remote diagnosis and treatment data intelligent storage accuracy, solves the problem of low accuracy of explosion injury remote diagnosis and treatment data intelligent storage based on blockchain in prior art.

Description

Technical Field

[0001] This invention relates to the field of medical data storage technology, and in particular to a blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries. Background Technology

[0002] In the intelligent storage process of remote diagnosis and treatment data for blast injuries, the first step is to preprocess the collected blast injury diagnosis and treatment data. This data includes on-site emergency data, imaging and laboratory data, and remote consultation interaction data. Invalid blast injury diagnosis and treatment data, such as abnormal vital sign values ​​caused by equipment failure and duplicate uploaded imaging and laboratory data, are filtered out using a filtering algorithm. Missing blast injury diagnosis and treatment data is repaired, for example, by using the average vital sign values ​​at adjacent time points to fill in short-term missing values. Next, the preprocessed blast injury diagnosis and treatment data is divided into fragments according to the treatment cycle. Each fragment generates a corresponding Merkle Tree root hash, which is then processed using PBFT (Practical Byzantine Fault Tolerance). The Tolerance (Practical Byzantine Fault Tolerance) consensus algorithm uses a consortium of nodes across institutions, such as remote consultation nodes, regulatory agency nodes, and technical service provider nodes, to jointly verify the integrity of blast injury diagnosis and treatment data. After reaching a consensus, a new blast injury diagnosis and treatment block is generated. This block contains information such as the sharding hash of the treatment cycle and the signatures of the consensus nodes. It is synchronized to the distributed ledger of all consortium nodes through P2P (Peer-to-Peer Network) to realize blockchain storage of data hashes and metadata. Large-capacity data such as original images and test reports are stored in the IPFS (InterPlanetary File System) distributed file system. The IPFS file hash address is recorded on the chain. The storage logic is automatically executed through smart contract preset rules. For example, when new diagnosis and treatment data (such as patient follow-up images) is uploaded, the contract automatically verifies the legality of the data source (compares the operator's digital signature with the authorization list). After successful verification, the on-chain process is triggered, realizing intelligent storage of remote diagnosis and treatment data for blast injuries based on blockchain.

[0003] For example, Chinese invention patent application CN116303437A discloses a blockchain-based method for hierarchical storage and sharing of medical data. The method is as follows: Patients globally sign their medical data; doctors divide the data into sub-data segments based on sensitivity criteria and perform truncation signatures; the affiliated institution's nodes encrypt the sub-data of different levels using symmetric keys and upload them to the IPFS system; data access control is handled using the Ciphertext Policy Attribute Encryption Algorithm (CP-ABE), and relevant information is written into a smart contract; requesting nodes initiate request transactions; the request transaction triggers the corresponding smart contract, returning relevant request information; requesting nodes decrypt the ciphertext, obtain the data's hash address, download and decrypt it to obtain the original text.

[0004] For example, Chinese invention patent application CN117725055A discloses a blockchain-based IoT device medical data management system, which includes a data owner, a service provider, and a user. The system includes: the data owner acquiring medical data; the data owner and service provider each generating public keys and publishing them on the blockchain network, while the data owner generating a private key; the data owner encrypting the medical data and storing the hash index of the encrypted data on the blockchain, distributing the encrypted data across several servers; the data owner authorizing access permissions for the service provider; the system authenticating users who need access and determining whether the access control authorization is successful; the system performing write and read operations based on the user's selection; if write is selected, the input medical data is encrypted and stored; if read is selected, the input hash index is searched in the blockchain and the corresponding medical data is returned.

[0005] The above-mentioned technology has at least the following technical problems: In existing technologies, due to the high timeliness requirements of remote diagnosis and treatment data for blast injuries, data (especially on-site emergency data such as heart rate and blood pressure) needs to be uploaded and updated within seconds. This scenario requires collaboration among multiple institutions (e.g., a consortium of nodes needs to include more than 10 cross-institutional nodes) to cover the entire diagnosis and treatment process. If the coverage of diagnosis and treatment needs to be further expanded, more remote consultation nodes need to be added to upload detailed remote diagnosis and treatment data for blast injuries. In existing technologies, in multi-institutional remote diagnosis and treatment systems for blast injuries based on consortium blockchains, each consultation node synchronizes the patient's real-time physiological parameter data through the PBFT consensus mechanism, reaching consensus through a three-stage interaction of "pre-preparation-preparation-submission". This means that the frequency of communication and interaction between nodes and the amount of data transmitted increases significantly, resulting in increased communication complexity between remote consultation nodes. Furthermore, due to the three-stage interaction characteristics of the PBFT consensus algorithm, newly uploaded on-site emergency data (such as heart rate fluctuation data at a certain moment) must wait for all nodes to complete the process. A three-phase consensus is required to synchronize data to all remote consultation nodes via the P2P network. However, before the consensus is complete, the remote consultation nodes cannot obtain the latest data. If new, detailed remote treatment data for blast injuries is continuously uploaded at this time, the three-phase synchronization characteristic based on the PBFT consensus mechanism causes the newly uploaded remote treatment data for blast injuries to wait for the previous round of consensus to be completed before it can be broadcast, resulting in data time-series drift. This causes the data windows processed by different nodes to be offset, affecting the consistency of treatment data across multiple nodes. Some remote consultation nodes are still synchronizing old remote treatment data for blast injuries, while some nodes have already started processing new remote treatment data for blast injuries. This directly leads to different remote treatment data for blast injuries existing on each remote consultation node, causing inconsistencies between the remote treatment data for blast injuries written to the blockchain and stored in the distributed file system. Consequently, the remote treatment data for blast injuries in the intelligent storage system for remote treatment data for blast injuries is inaccurate, resulting in low accuracy of intelligent storage of remote treatment data for blast injuries. Summary of the Invention

[0006] To address the technical problem of low accuracy in the intelligent storage of remote diagnosis and treatment data for blast injuries in existing technologies, this invention provides a blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries. The specific technical solution is as follows:

[0007] A blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries includes the following modules: a blast injury diagnosis and treatment data monitoring module, a diagnosis and treatment data blockchain consensus evaluation module, and a blast injury remote diagnosis and treatment data storage quality monitoring module. The blast injury diagnosis and treatment data monitoring module is used to first perform blast injury diagnosis and treatment data monitoring during the storage of blast injury diagnosis and treatment data. During this process, the module obtains the blast injury diagnosis and treatment data monitoring results and determines whether to optimize the blast injury diagnosis and treatment data monitoring based on the results. The optimization of blast injury diagnosis and treatment data monitoring is used to reduce the complexity of remote diagnosis and treatment data transmission for blast injuries. The diagnostic and treatment data blockchain consensus assessment module is used to perform a diagnostic and treatment data blockchain consensus assessment after the monitoring of blast injury diagnostic and treatment data has passed the assessment. During this process, the module obtains the diagnostic and treatment data blockchain consensus assessment results and determines whether to perform remote diagnostic and treatment data blockchain consensus optimization based on the assessment results. Remote diagnostic and treatment data blockchain consensus optimization is used to improve the qualification of remote diagnostic and treatment data blockchain consensus. The explosion injury remote diagnosis and treatment data storage quality monitoring module is used to perform explosion injury remote diagnosis and treatment data storage quality monitoring after the blockchain consensus assessment of the diagnosis and treatment data is qualified. During this process, the module obtains the explosion injury remote diagnosis and treatment data storage quality monitoring results and determines whether to send an explosion injury remote diagnosis and treatment data intelligent storage qualified prompt to the preset personnel based on the explosion injury remote diagnosis and treatment data storage quality monitoring results.

[0008] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: 1. By performing blast injury diagnosis and treatment data monitoring and obtaining the monitoring results to determine whether to optimize the monitoring, it helps to accurately assess the latency of blast injury diagnosis and treatment data transmission, reduce interference with data storage caused by missing or delayed data transmission, and facilitate the acquisition of comprehensive and objective blast injury diagnosis and treatment data. Simultaneously, it ensures the quality of blast injury diagnosis and treatment data and improves its accuracy. Furthermore, by performing diagnosis and treatment data blockchain consensus assessment and obtaining the assessment results to determine whether to optimize the remote diagnosis and treatment data blockchain consensus, it helps to accurately assess the remote blast injury data on the blockchain. The consensus on the qualification level of remote diagnosis and treatment data ensures the security, consistency, and efficiency of data sharing and transmission during the remote diagnosis and treatment of blast injuries. It reduces the risk of data tampering or leakage, and guarantees the accuracy and reliability of the data. By performing data storage quality monitoring for remote diagnosis and treatment of blast injuries to obtain the monitoring results and determine whether to send a smart storage qualification prompt to preset personnel, it helps to accurately assess the qualification level of data storage quality, ensure the security and stability of the data, and thus improve the integrity and accuracy of smart storage of remote diagnosis and treatment data for blast injuries.

[0009] 2. By optimizing the monitoring of blast injury diagnosis and treatment data, the complexity of communication of blast injury remote diagnosis and treatment data on blockchain nodes is reduced. Compared with the existing technology in the multi-institution blast injury remote diagnosis and treatment system based on consortium blockchain, where each consultation node synchronizes the patient's real-time physiological parameter data through the PBFT consensus mechanism and reaches consensus through three stages of full node interaction of "pre-preparation-preparation-submission", this means that the frequency of communication interaction and data transmission between nodes has increased significantly, resulting in increased communication complexity between remote consultation nodes. This solution helps to reduce the imbalance of communication efficiency among remote consultation nodes, reduce the complexity of blast injury remote diagnosis and treatment data communication from the source, and improve the subjectivity and randomness of blast injury remote diagnosis and treatment data transmission.

[0010] 3. By optimizing the blockchain consensus of remote medical treatment data, the accuracy of consensus on blockchain nodes for remote medical treatment data of blast injuries is improved. Compared with the existing technology, where remote consultation nodes cannot obtain the latest data before consensus is completed, if new and detailed remote medical treatment data of blast injuries is continuously uploaded at this time, the three-stage synchronization characteristics of the PBFT consensus mechanism cause the newly uploaded remote medical treatment data of blast injuries to wait for the previous round of consensus to be completed before it can be broadcast, resulting in data time-series drift. This causes the data windows processed by different nodes to be offset, affecting the consistency of medical treatment data of multiple nodes. This solution helps to reduce the waiting time of new remote medical treatment data of blast injuries, avoid the time-series drift caused by the backlog of remote medical treatment data of blast injuries in the queue, and ensure that each remote consultation node always processes blast injury medical treatment data based on a unified time dimension and a unified data range, reducing the consistency deviation caused by the dynamic window offset of the blockchain, thereby maintaining the synchronization of remote medical treatment data processing of blast injuries.

[0011] 4. By performing a consensus assessment on the blockchain for medical treatment data and determining whether to optimize the blockchain consensus for remote medical treatment data, this solution addresses the issue that existing technologies, where some remote consultation nodes are synchronizing old remote medical treatment data for blast injuries while others have begun processing new data, directly result in different remote medical treatment data for blast injuries among the remote consultation nodes. This leads to inconsistencies between the remote medical treatment data for blast injuries written to the blockchain and the data stored in the distributed file system. This solution helps ensure that the remote medical treatment data for blast injuries input into the blockchain is completely matched with the data stored in the distributed file system, ensuring the reliability and accuracy of remote medical treatment data flow. This provides a foundation for the subsequent retrieval and traceability of remote medical treatment data for blast injuries and for the stability of medical service quality. Attached Figure Description

[0012] Figure 1 A schematic diagram of the structure of a blockchain-based remote diagnosis and treatment data intelligent storage system for blast injuries provided in an embodiment of the present invention; Figure 2A schematic diagram of the execution architecture for monitoring blast injury diagnosis and treatment data in a blockchain-based remote diagnosis and treatment data intelligent storage system provided in this embodiment of the invention; Figure 3 A schematic diagram of the blockchain consensus evaluation architecture for the remote diagnosis and treatment data of the explosion injury-based intelligent storage system provided in this embodiment of the invention; Figure 4 This is a schematic diagram illustrating the framework for monitoring the data storage quality of remote diagnosis and treatment of blast injuries using a blockchain-based intelligent storage system for remote diagnosis and treatment of blast injuries, as provided in this embodiment of the invention. Detailed Implementation

[0013] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0014] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0015] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0016] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0017] This invention provides a blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries, such as... Figure 1 As shown, the blockchain-based remote diagnosis and treatment data intelligent storage system for blast injuries includes: The blast injury diagnosis and treatment data monitoring module: By performing blast injury diagnosis and treatment data monitoring, it obtains the monitoring results and determines whether to optimize the blast injury diagnosis and treatment data monitoring. Performing blast injury diagnosis and treatment data monitoring helps to accurately assess the latency of blast injury diagnosis and treatment data transmission, reduce the impact of missing or delayed blast injury diagnosis and treatment data on blast injury diagnosis and treatment data monitoring, ensure the quality of blast injury diagnosis and treatment data, and improve the accuracy of blast injury diagnosis and treatment data.

[0018] The diagnostic and treatment data blockchain consensus assessment module: By performing a diagnostic and treatment data blockchain consensus assessment, the module obtains the assessment results and determines whether to optimize the remote diagnostic and treatment data blockchain consensus. Performing the diagnostic and treatment data blockchain consensus assessment helps to accurately evaluate the qualification level of the remote diagnostic and treatment data consensus on the blockchain, ensuring the security, consistency and efficiency of remote diagnostic and treatment data sharing and transmission, and ensuring the accuracy and reliability of remote diagnostic and treatment data transmission.

[0019] The Explosion Injury Remote Diagnosis and Treatment Data Storage Quality Monitoring Module: This module performs explosion injury remote diagnosis and treatment data storage quality monitoring to obtain monitoring results and determine whether to send a qualified intelligent storage notification to preset personnel. This monitoring helps to accurately assess the qualification level of explosion injury remote diagnosis and treatment data storage, ensuring the safety and stability of the data, thereby improving the integrity and accuracy of intelligent storage of explosion injury remote diagnosis and treatment data.

[0020] It should be added that, prior to the design of the blockchain-based remote diagnosis and treatment data intelligent storage system for blast injuries in this invention, a database storing various preset data was established. This database includes, but is not limited to, preset blast injury diagnosis and treatment data monitoring latency, preset blast injury diagnosis and treatment data monitoring results, and preset blast injury remote diagnosis and treatment data consensus success rates. These various values ​​are directly set by technical personnel as the core, and are combined with industry standards, clinical treatment guidelines, and multi-institutional consultation experience in the field of remote diagnosis and treatment of blast injuries. Validated parameters from historical treatment data are referenced, such as the average monitoring latency and consensus success case data, to ensure the data has industry adaptability and clinical applicability. In terms of data structure, a structured classification design is used according to data type, linking parameters with preset monitoring result judgment rules. Logical data is stored separately, and each type of data is associated with a unique identifier and timestamp, linked to the node information of the blockchain system and the treatment scenario tag. This ensures that the data can be quickly matched with the corresponding treatment monitoring, consensus verification and storage links when it is called, meeting the system's needs for efficient data retrieval and accurate application. In terms of storage method, a distributed storage architecture adapted to blockchain technology will be adopted, and the database data and blockchain nodes will be partially synchronized. Core preset data, such as key monitoring thresholds and consensus success rate benchmark values, will be backed up on multiple nodes. At the same time, encryption algorithms will be used to protect the data security, avoid data loss due to single node failure, prevent preset data from being tampered with without authorization, and ensure the reliability and efficiency of intelligent storage and calling of remote diagnosis and treatment data for explosion injuries in the subsequent system.

[0021] In this embodiment, blast injury diagnosis and treatment data monitoring is performed to obtain the monitoring results and determine whether they meet the eligibility criteria for diagnosis and treatment data processing. If they do, the corresponding blast injury diagnosis and treatment data is marked as remote blast injury diagnosis and treatment data, and blast injury diagnosis and treatment data monitoring is optimized. Otherwise, a diagnosis and treatment data blockchain consensus assessment is performed. Performing blast injury diagnosis and treatment data monitoring helps reduce interference with blast injury diagnosis and treatment data transmission caused by the increase in treatment coverage, improving the integrity and stability of blast injury diagnosis and treatment data transmission. Performing a diagnosis and treatment data blockchain consensus assessment obtains the assessment results and determines whether they meet the eligibility criteria for diagnosis and treatment data consensus. If they do, the corresponding remote blast injury diagnosis and treatment data is marked as remote blast injury diagnosis and treatment data to be stored and input into the intelligent storage system for remote blast injury diagnosis and treatment data. The process involves monitoring the data storage quality of remote medical treatment for blast injuries. Conversely, optimizing the blockchain consensus of remote medical treatment data is crucial. Performing blockchain consensus assessment helps reduce communication complexity between remote consultation nodes, improving the efficiency and compliance of remote medical treatment data consensus. The monitoring process obtains data storage quality monitoring results; if compliant, a qualified intelligent storage notification is sent to designated personnel; otherwise, an abnormal intelligent storage notification is sent to designated personnel. This monitoring helps reduce the impact of data window offsets between different nodes on the consistency of multi-node medical treatment data, ensuring the validity of the finally stored remote medical treatment data in the time dimension and maintaining the accuracy of intelligently stored data.

[0022] Furthermore, based on the monitoring results of blast injury diagnosis and treatment data, it is determined whether to optimize the blast injury diagnosis and treatment data monitoring. The specific process is as follows: The ratio of the blast injury diagnosis and treatment data monitoring delay to the preset blast injury diagnosis and treatment data monitoring delay is quantified, i.e., ratio analysis is used to obtain the blast injury diagnosis and treatment data monitoring result reflecting the degree of blast injury diagnosis and treatment data reception delay. The preset blast injury diagnosis and treatment data monitoring delay is represented by the average value of the blast injury diagnosis and treatment data monitoring delay over a historical time period; it is determined whether the obtained blast injury diagnosis and treatment data monitoring result meets the qualified conditions for diagnosis and treatment data processing; the blast injury diagnosis and treatment data monitoring delay is represented by the remote emergency monitoring via the clock module. The time required for rescue equipment to detect remote diagnosis and treatment data of blast injuries and issue an early warning; the qualified condition for diagnosis and treatment data processing is that the monitoring result of blast injury diagnosis and treatment data is not greater than the preset monitoring result of blast injury diagnosis and treatment data, which is represented by the average value of the monitoring results of blast injury diagnosis and treatment data over a historical period; if the monitoring result of blast injury diagnosis and treatment data does not meet the qualified condition for diagnosis and treatment data processing, the blast injury diagnosis and treatment data monitoring is optimized; otherwise, the corresponding blast injury diagnosis and treatment data is marked as remote diagnosis and treatment data of blast injuries, and a diagnosis and treatment data blockchain consensus assessment is performed to evaluate the qualification of consensus of remote diagnosis and treatment data of blast injuries.

[0023] It should be added that, such as Figure 2 The diagram illustrates the execution architecture of the blockchain-based remote diagnosis and treatment data intelligent storage system for blast injuries provided in this embodiment of the invention. The system monitors blast injury diagnosis and treatment data, determining whether the acquired monitoring results meet the eligibility criteria for diagnosis and treatment data processing. If they do, the corresponding blast injury diagnosis and treatment data is marked as remote diagnosis and treatment data for blast injuries, and a blockchain consensus assessment is performed. Otherwise, optimization of the blast injury diagnosis and treatment data monitoring is conducted. This optimization includes: analysis of node communication interaction frequency and adjustment of the transmission power of remote diagnosis and treatment data for blast injuries. If the newly acquired blast injury diagnosis and treatment data monitoring results after rate adjustment meet the qualified conditions for diagnosis and treatment data processing, the corresponding blast injury diagnosis and treatment data is marked as blast injury remote diagnosis and treatment data, and a diagnosis and treatment data blockchain consensus assessment is performed. Otherwise, blast injury remote diagnosis and treatment data spread spectrum processing is performed, and it is determined whether the newly acquired blast injury diagnosis and treatment data monitoring results after the blast injury remote diagnosis and treatment data spread spectrum processing meet the qualified conditions for diagnosis and treatment data processing. If they meet the conditions, the corresponding blast injury diagnosis and treatment data is marked as blast injury remote diagnosis and treatment data, and a diagnosis and treatment data blockchain consensus assessment is performed. Otherwise, an blast injury diagnosis and treatment data monitoring optimization anomaly prompt is sent to the preset personnel.

[0024] In this embodiment, monitoring blast injury diagnosis and treatment data can effectively assess the quality of blast injury diagnosis and treatment data transmission, eliminate abnormal data caused by excessive monitoring latency, reduce interference from remote transmission on the accuracy of intelligent storage of blast injury diagnosis and treatment data, improve the quality of subsequently collected remote diagnosis and treatment data, provide more stable, reliable, and high-quality blast injury remote diagnosis and treatment data input for blockchain intelligent storage, ensure the validity of the blast injury remote diagnosis and treatment data finally stored on the blockchain in the time dimension, and thus enhance the accuracy of intelligent storage of blast injury remote diagnosis and treatment data.

[0025] Further, the specific process for optimizing blast injury diagnosis and treatment data monitoring is as follows: First, analyze the frequency of node communication interactions to assess the communication status between remote consultation nodes; determine whether the number of node communication interactions during the preset diagnosis and treatment data monitoring period, used to reflect the load status of remote consultation nodes, is less than or equal to the preset number of node communication interactions. This is achieved by monitoring the number of node communication interactions during the preset diagnosis and treatment data monitoring period through an intelligent security gateway, with the preset number of node communication interactions represented by the average number of node communication interactions over historical time periods. The preset diagnosis and treatment data monitoring period refers to the preset time period set by the preset personnel for performing blast injury diagnosis and treatment data monitoring. If yes, a node communication interaction qualification prompt is sent; otherwise, the remote diagnosis and treatment data transmission power for blast injuries is adjusted. Second, adjust the remote diagnosis and treatment data transmission power for blast injuries to reduce the communication complexity between remote consultation nodes. Based on the original remote diagnosis and treatment data transmission power for blast injuries, adjustments are made to the transmission power to precisely optimize the data transmission quality of remote diagnosis and treatment for blast injuries, avoiding data loss or delay due to improper power. The original remote diagnosis and treatment data transmission power for blast injuries is monitored using a directional power probe. The operation of the remote diagnostic and treatment data transmission power means gradually increasing the original remote diagnostic and treatment data transmission power of the blast injury by a preset adjustment step size, up to the preset maximum remote diagnostic and treatment data transmission power of the blast injury. The ratio of the diagnostic and treatment data transmission power is represented by the result of quantifying the difference between the preset maximum remote diagnostic and treatment data transmission power of the blast injury and the original remote diagnostic and treatment data transmission power, and is used to reflect the fineness of the adjustment of the diagnostic and treatment data transmission power. The preset maximum remote diagnostic and treatment data transmission power of the blast injury is set in advance by preset personnel. If the remote diagnostic and treatment data transmission power of the blast injury is far from the original remote diagnostic and treatment data transmission power, the operation will be performed according to the preset maximum remote diagnostic and treatment data transmission power. If the monitoring results of the reacquired blast injury diagnosis and treatment data after the transmission power of the remote diagnosis and treatment data are adjusted meet the qualified conditions for diagnosis and treatment data processing, the corresponding blast injury diagnosis and treatment data will be marked as blast injury remote diagnosis and treatment data, and a diagnosis and treatment data blockchain consensus assessment will be performed. Otherwise, blast injury remote diagnosis and treatment data spread spectrum processing will be performed. Explosion injury remote diagnosis and treatment data spread spectrum processing refers to the processing performed on the blast injury remote diagnosis and treatment data corresponding to the next monitoring of blast injury remote diagnosis and treatment data. Explosion injury remote diagnosis and treatment data spread spectrum processing is used to reduce the bit error rate of blast injury remote diagnosis and treatment data on the blockchain to improve the anti-interference capability of communication between remote consultation nodes.

[0026] In this embodiment, optimizing the monitoring of blast injury diagnosis and treatment data helps reduce the communication complexity between remote consultation nodes, reduces abnormal data transmission of blast injury diagnosis and treatment data caused by excessive node load or unstable communication, thereby improving the reliability of remote blast injury diagnosis and treatment data during transmission, reducing the interference of abnormal remote blast injury diagnosis and treatment data on blockchain consensus, and thus ensuring the integrity and validity of the stored remote blast injury diagnosis and treatment data.

[0027] Furthermore, the specific process of spreading the remote diagnosis and treatment data for blast injuries is as follows: The bandwidth of the original transmitted remote diagnosis and treatment data for blast injuries is modulated to a preset bandwidth using a preset spreading code. Then, OFDM (Orthogonal Frequency Division Multiplexing) technology is used to decompose the high-speed remote diagnosis and treatment data stream for blast injuries into low-speed remote diagnosis and treatment data sub-streams, which are transmitted in parallel to the remote consultation node. A spectrum analyzer monitors the bandwidth of the original transmitted remote diagnosis and treatment data for blast injuries, and a wireless network vibration meter monitors the high-speed remote diagnosis and treatment data stream for blast injuries. The preset spreading code and preset bandwidth are pre-set by preset personnel. If the monitoring results of the blast injury diagnosis and treatment data re-acquired after the spread spectrum processing meet the qualified conditions for diagnosis and treatment data processing, the corresponding blast injury diagnosis and treatment data is marked as remote diagnosis and treatment data for blast injuries, and a diagnosis and treatment data blockchain consensus assessment is performed. Otherwise, an abnormality prompt for blast injury diagnosis and treatment data monitoring optimization is sent to the preset personnel.

[0028] In this embodiment, spreading processing of remote diagnosis and treatment data for blast injuries helps reduce the bit error rate of remote diagnosis and treatment data for blast injuries on the blockchain, reduces erroneous information caused by signal interference and distortion during data transmission, significantly improves the anti-interference capability of communication between remote consultation nodes, ensures the stability and accuracy of data transmission in complex communication environments, reduces the credibility of remote diagnosis and treatment data for blast injuries in the consensus process of diagnosis and treatment data blockchain, and ensures the authenticity, integrity and accuracy of stored remote diagnosis and treatment data for blast injuries.

[0029] Furthermore, the specific process for evaluating the consensus of the treatment data blockchain is as follows: The evaluation result is obtained by quantifying the success rate of the remote treatment data consensus for blast injuries by comparing it with a preset success rate. This result reflects the qualification level of the remote treatment data consensus for blast injuries. The preset success rate is represented by the average success rate of the remote treatment data consensus for blast injuries over a historical period. The evaluation result is then determined whether it meets the qualification criteria for treatment data consensus. A qualification criterion indicates that the evaluation result is greater than the preset consensus result, which is represented by the average of the historical consensus results. Finally, the amount of remote treatment data for blast injuries that successfully completed consensus is monitored through the blockchain consensus data statistics terminal, and this data is compared with the amount of remote treatment data for blast injuries uploaded to remote treatment nodes through the blockchain consensus data statistics terminal. The success rate of consensus on remote diagnosis and treatment data for blast injuries is obtained by quantifying the proportion of data volume. This reflects the quality of the data volume and its qualification. If the consensus assessment result of the diagnosis and treatment data blockchain meets the qualification conditions, the corresponding remote diagnosis and treatment data for blast injuries is marked as data to be stored and input into the intelligent storage system for remote diagnosis and treatment data for blast injuries. Data storage quality monitoring is then performed to reflect the degree of data storage interference. Otherwise, blockchain consensus optimization is performed to improve the qualification of consensus on remote diagnosis and treatment data for blast injuries. Blockchain consensus optimization includes: blockchain consensus processing to improve the efficiency of consensus on remote diagnosis and treatment data for blast injuries and blockchain consensus verification to verify the qualification of consensus on remote diagnosis and treatment data for blast injuries. Blockchain consensus optimization refers to the optimization performed on the remote diagnosis and treatment data for blast injuries for the next blockchain consensus assessment.

[0030] It should be added that, such as Figure 3The diagram illustrates the architecture for executing the blockchain consensus assessment of remote diagnosis and treatment data in a blockchain-based intelligent storage system for blast injury remote diagnosis and treatment data provided in this embodiment of the invention. The system performs a blockchain consensus assessment of the diagnosis and treatment data, determining whether the obtained assessment results meet the criteria for qualified consensus. If they do, the corresponding remote diagnosis and treatment data for blast injuries is marked as data to be stored and input into the intelligent storage system. Data storage quality monitoring for remote diagnosis and treatment data for blast injuries is then performed. Otherwise, blockchain consensus optimization is conducted. This optimization includes blockchain consensus processing and blockchain consensus verification. Blockchain consensus processing includes generating a dynamic blockchain window and verifying the remote diagnosis and treatment data for blast injuries. Finally, a decision is made regarding whether to proceed with the blockchain consensus assessment. After verification, the blockchain consensus assessment result of the re-acquired treatment data is checked to see if it meets the qualification conditions for treatment data consensus and whether the consensus node consistency result is within the preset consensus node consistency result range. If it meets the conditions, the corresponding remote treatment data for blast injuries is marked as remote treatment data for blast injuries to be stored and input into the intelligent storage system for remote treatment data for blast injuries. The data storage quality monitoring for remote treatment data for blast injuries is then performed. Otherwise, the remote treatment data for blast injuries is retransmitted. The blockchain consensus assessment result of the treatment data re-acquired after the retransmission is checked to see if it meets the qualification conditions for treatment data consensus. If it meets the conditions, the corresponding remote treatment data for blast injuries is marked as remote treatment data for blast injuries to be stored and input into the intelligent storage system for remote treatment data for blast injuries. The data storage quality monitoring for remote treatment data for blast injuries is then performed. Otherwise, an abnormal data transmission prompt for remote treatment data for blast injuries is sent to preset personnel.

[0031] In this embodiment, by performing a blockchain consensus assessment of diagnostic and treatment data, the qualification level of remote diagnostic and treatment data consensus for blast injuries can be effectively evaluated, reducing the storage of invalid or erroneous remote diagnostic and treatment data for blast injuries due to consensus failure or insufficient consensus quality. This improves consensus efficiency and verifies consensus qualification, ensuring the effectiveness and reliability of the finally stored remote diagnostic and treatment data consensus for blast injuries.

[0032] Furthermore, the specific process of blockchain consensus processing for remote medical treatment data is as follows: The first step involves generating a dynamic blockchain window; the node receiving the most remote medical treatment data for blast injuries is marked as the blockchain master node; a preset dynamic window length ratio is obtained by quantifying the ratio between the remote medical treatment data transmission time for blast injuries and the preset remote medical treatment data transmission time for blast injuries, which reflects the fineness of the dynamic window width adjustment. The preset remote medical treatment data transmission time for blast injuries is represented by the average value of the remote medical treatment data transmission time for blast injuries over a historical period; based on the blockchain master node, the transmission time of remote medical treatment data for blast injuries is divided according to the preset dynamic window length ratio, and a unique blockchain dynamic window ID is generated for each blockchain dynamic window; The transmission time of remote medical data for blast injuries is represented by the time from when the data is sent to the blockchain master node, as monitored by the clock module. Blockchain dynamic window generation ensures the accuracy of the data segmentation units, guaranteeing the orderly division of the data. The second step involves verifying the remote medical data. The blockchain master node analyzes the remote medical data in each blockchain dynamic window based on the blockchain dynamic window ID (Identifier), transmitting qualified data to all consensus nodes. This verification ensures the authenticity and completeness of the remote medical data during the blockchain consensus process.

[0033] In this embodiment, the blockchain consensus processing of remote medical treatment data helps to ensure the accuracy and orderliness of the division of remote medical treatment data for blast injuries into units, avoids deviations in the consensus of remote medical treatment data for blast injuries caused by chaotic division of remote medical treatment data for blast injuries, improves the efficient flow of remote medical treatment data for blast injuries within a clear blockchain dynamic window unit, ensures the selection of real, complete and qualified remote medical treatment data for blast injuries, and thus ensures the quality of the consensus of remote medical treatment data for blast injuries that finally enters the intelligent storage system.

[0034] Furthermore, the specific process for analyzing remote diagnosis and treatment data of blast injuries is as follows: The proportion of remote diagnosis and treatment data of blast injuries from the blockchain master node to the consensus node during the preset blockchain consensus assessment period is quantified to obtain a result reflecting the completeness of the remote diagnosis and treatment data volume; the proportion of remote diagnosis and treatment data types from the blockchain master node to the consensus node during the preset blockchain consensus assessment period is quantified to obtain a result reflecting the completeness of the remote diagnosis and treatment data volume, wherein the remote diagnosis and treatment data types from the blockchain master node and the consensus node are monitored through the blockchain master node data classification monitoring terminal; it is determined whether the remote diagnosis and treatment data analysis results are within the corresponding preset range of remote diagnosis and treatment data analysis results; the preset remote diagnosis and treatment data volume... The analysis results include: a preset range for the quantity of remote blast injury diagnosis and treatment data and a preset range for the type of remote blast injury diagnosis and treatment data. The preset range for the quantity of remote blast injury diagnosis and treatment data is represented by the range of the maximum and minimum values ​​of the data over a historical time period, including both the maximum and minimum endpoints. The preset range for the type of remote blast injury diagnosis and treatment data is represented by the range of the maximum and minimum values ​​of the data over a historical time period, including both the maximum and minimum endpoints. The analysis results for remote blast injury diagnosis and treatment data include: the quantity of remote blast injury diagnosis and treatment data and the type of remote blast injury diagnosis and treatment data. If the analysis results for remote blast injury diagnosis and treatment data fall within the corresponding preset range, the corresponding remote blast injury diagnosis and treatment data is marked as qualified remote blast injury diagnosis and treatment data; otherwise, an abnormal notification for qualified remote blast injury diagnosis and treatment data is sent to the preset personnel.

[0035] In this embodiment, the analysis of remote diagnosis and treatment data of blast injuries helps to identify potential data loss or omissions in the transmission and synchronization process of remote diagnosis and treatment data of blast injuries. This reduces the amount of incomplete or non-standard remote diagnosis and treatment data of blast injuries entering the storage stage, provides a complete and standardized data source for blockchain smart storage, ensures the accuracy and application value of stored remote diagnosis and treatment data of blast injuries, and thus improves the integrity and credibility of remote diagnosis and treatment data storage of blast injuries.

[0036] Furthermore, the specific process of remote medical data blockchain consensus verification is as follows: The analysis results of remote medical data on explosion injuries from the blockchain master node and the analysis results of remote medical data on explosion injuries from the consensus node are proportionally quantified to obtain a consensus node consistency result reflecting the degree of consensus node consistency. If the consensus node consistency result is within the preset consensus node consistency result range, the remote medical data blockchain consensus processing is stopped; otherwise, the master node of the main blockchain is triggered to retransmit to ensure that all nodes are synchronized to a consistent state. The master node of the main blockchain represents the blockchain master node corresponding to the optimal consensus node consistency result. The optimal consensus node consistency result represents the maximum value of the consensus node consistency result within the preset consensus node consistency result range. If the consensus evaluation result of the medical data blockchain re-acquired after the remote medical data blockchain consensus verification meets the qualification conditions for medical data consensus and the consensus node consistency result is within the preset consensus node consistency result range, ... The corresponding remote diagnosis and treatment data of blast injuries is marked as remote diagnosis and treatment data of blast injuries to be stored and input into the intelligent storage system for remote diagnosis and treatment data of blast injuries. Data storage quality monitoring of remote diagnosis and treatment data of blast injuries is then performed. Otherwise, the remote diagnosis and treatment data of blast injuries is retransmitted. Retransmission of remote diagnosis and treatment data of blast injuries means retransmitting abnormal remote diagnosis and treatment data of blast injuries. Abnormal remote diagnosis and treatment data of blast injuries refers to remote diagnosis and treatment data of blast injuries whose consensus node consensus results are not within the range of preset consensus node consensus results. If the blockchain consensus evaluation result of the diagnosis and treatment data re-acquired after retransmission of remote diagnosis and treatment data of blast injuries meets the consensus qualification conditions of diagnosis and treatment data, the corresponding remote diagnosis and treatment data of blast injuries is marked as remote diagnosis and treatment data of blast injuries to be stored and input into the intelligent storage system for remote diagnosis and treatment data of blast injuries. Data storage quality monitoring of remote diagnosis and treatment data of blast injuries is then performed. Otherwise, an abnormal data transmission prompt for remote diagnosis and treatment data of blast injuries is sent to preset personnel.

[0037] In this embodiment, blockchain consensus verification of remote diagnosis and treatment data helps improve the consistency of remote diagnosis and treatment data for blast injuries at each node, reduces the deviation in data storage caused by inconsistencies in remote diagnosis and treatment data for blast injuries at each remote consultation node, ensures the uniformity and accuracy of remote diagnosis and treatment data for blast injuries at each remote consultation node, reduces data storage errors caused by disagreements at each consultation node, and improves the authenticity and reliability of consensus on remote diagnosis and treatment data for blast injuries on the blockchain.

[0038] The specific process for monitoring the data storage quality of remote medical treatment for blast injuries is as follows: The data storage time for remote medical treatment of blast injuries is quantified by comparing it with the preset data storage time for remote medical treatment of blast injuries to obtain the data storage quality monitoring result reflecting the timeliness of the remote medical treatment data. The data storage time for remote medical treatment of blast injuries represents the time required for the data to be stored to be stored in the intelligent storage system for remote medical treatment of blast injuries, as monitored by the clock module. It is then determined whether the data storage quality monitoring result meets the qualified conditions for data storage. The qualified conditions for data storage indicate that the data storage quality monitoring result is not greater than the preset data storage quality monitoring result, which is represented by the average value of the data storage quality monitoring results over a historical time period. If the data storage quality monitoring result meets the qualified conditions for data storage, a qualified intelligent storage notification is sent to the preset personnel; otherwise, an abnormal intelligent storage notification is sent to the preset personnel.

[0039] It should be added that, such as Figure 4 The diagram illustrates the framework for monitoring the storage quality of remote diagnosis and treatment data for blast injuries, provided by an embodiment of the present invention, in a blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries. The system monitors the storage quality of remote diagnosis and treatment data for blast injuries, determining whether the monitoring results meet the acceptable conditions. If they do, a qualified intelligent storage notification is sent to a preset personnel; otherwise, an abnormal intelligent storage notification is sent to the preset personnel.

[0040] In this embodiment, the quality monitoring of remote diagnosis and treatment data for blast injuries can effectively assess the qualification level of the data storage quality, ensure the timeliness requirements of the data storage, reduce the failure of remote diagnosis and treatment data due to data storage delays, reduce the loss, damage or expiration of data during storage due to excessive storage time, and ensure that the subsequently stored remote diagnosis and treatment data for blast injuries always maintains good timeliness and integrity.

[0041] Based on this, in the telemedicine center of a large general hospital, when providing remote data transmission and storage services for blast injury emergency care points simultaneously, a complex network topology will be formed. The simultaneous transmission of a large amount of remote blast injury data, such as high-definition wound images and real-time vital signs data, may lead to high-concurrency access on the network. This can cause the network bandwidth of remote consultation nodes to be rapidly occupied, resulting in increased latency in remote blast injury data transmission and loss of remote blast injury data packets. Consequently, the real-time performance and integrity of remote blast injury data storage will be compromised.

[0042] Specifically, the process for monitoring the data storage quality of remote diagnosis and treatment of blast injuries is as follows: Determine whether the data storage quality result of remote diagnosis and treatment of blast injuries is greater than or equal to the preset data storage quality result of remote diagnosis and treatment of blast injuries; the data storage quality result of remote diagnosis and treatment of blast injuries is used to reflect the degree of interference in the data storage quality of remote diagnosis and treatment of blast injuries; if yes, a qualified intelligent storage prompt for remote diagnosis and treatment of blast injuries is sent to the preset personnel; otherwise, an abnormal intelligent storage prompt for remote diagnosis and treatment of blast injuries is sent to the preset personnel.

[0043] The specific method for obtaining the data storage quality result Q of the remote diagnosis and treatment of blast injuries is as follows: ; Wherein, X1 is the data transmission latency of remote diagnosis and treatment of blast injuries, in milliseconds, monitored by a network performance monitor; X2 is the data loss rate of remote diagnosis and treatment of blast injuries, monitored by a network packet analyzer; X3 is the data accuracy, monitored by a data comparison analyzer; X4 is the read / write speed of the intelligent storage system, in megabytes per second, monitored by a hard disk performance tester; and X5 is the available capacity of the intelligent storage system, in gigabytes, monitored by a storage capacity monitoring tool. ω1 is the latency factor, ω2 is the data loss rate factor, ω3 is the data accuracy factor, ω4 is the read / write speed factor, and ω5 is the available capacity factor. ω1, ω2, ω3, ω4, and ω5 are assigned different weights by preset personnel based on historical experience according to the importance of each parameter. i represents the type of parameter affecting the data storage quality of remote diagnosis and treatment of blast injuries.

[0044] Furthermore, since all parameters work together throughout the entire process of transmitting and storing remote medical data for blast injuries, they influence each other and ultimately affect the data storage quality. Network congestion increases the transmission delay of remote medical data, making data loss more likely and impacting its accuracy. For example, delays in real-time data can reduce the accuracy of subsequent analyses and indirectly affect the read / write speed of the intelligent storage system. Data loss leading to decreased integrity reduces accuracy, and high loss rates may increase the system load due to retransmissions, indirectly affecting read / write speed. Additionally, lost data may require extra recording and processing, consuming storage space and impacting available capacity. In short, all parameters are interconnected, and weighting reflects their varying importance in the overall evaluation, collectively influencing the data storage quality of remote medical data for blast injuries.

[0045] In this embodiment, the data storage quality monitoring of remote diagnosis and treatment of blast injuries can effectively assess the interference with the data storage quality of remote diagnosis and treatment of blast injuries, reduce problems such as damage, distortion or incompleteness of stored remote diagnosis and treatment data of blast injuries caused by bandwidth transmission interference, ensure that the data finally stably stored in the blockchain intelligent system meets the quality standards, guarantee the integrity of the stored remote diagnosis and treatment data of blast injuries, and ensure the accuracy of intelligent storage of remote diagnosis and treatment data of blast injuries based on blockchain.

[0046] In summary, by performing blast injury diagnosis and treatment data monitoring to obtain monitoring results and determine whether to optimize the monitoring, it helps to accurately assess the latency of blast injury diagnosis and treatment data transmission, reduce interference with data storage caused by missing or delayed data transmission, facilitate the acquisition of comprehensive and objective blast injury diagnosis and treatment data, ensure the quality of blast injury diagnosis and treatment data, and improve the accuracy of blast injury diagnosis and treatment data. Furthermore, by performing blockchain consensus assessment of diagnosis and treatment data to obtain blockchain consensus assessment results and determine whether to optimize the remote diagnosis and treatment data blockchain consensus, it helps to accurately assess blast injury data on the blockchain. The consensus on the qualification level of remote diagnosis and treatment data ensures the security, consistency, and efficiency of remote diagnosis and treatment data sharing and transmission for blast injuries, reduces the risk of data tampering or leakage, and guarantees the accuracy and reliability of remote diagnosis and treatment data for blast injuries. By performing data storage quality monitoring of blast injuries to obtain the data storage quality monitoring results and determining whether to send intelligent storage qualification prompts to preset personnel, it helps to accurately assess the qualification level of data storage of blast injuries, ensure the security and stability of remote diagnosis and treatment data for blast injuries, and thus improve the integrity and accuracy of intelligent storage of remote diagnosis and treatment data for blast injuries.

[0047] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries, characterized in that, It includes the following modules: blast injury diagnosis and treatment data monitoring module, diagnosis and treatment data blockchain consensus assessment module, and blast injury remote diagnosis and treatment data storage quality monitoring module; The explosion injury diagnosis and treatment data monitoring module is used to first perform explosion injury diagnosis and treatment data monitoring during the explosion injury diagnosis and treatment data storage process, obtain explosion injury diagnosis and treatment data monitoring results during this process, and determine whether to optimize explosion injury diagnosis and treatment data monitoring based on the explosion injury diagnosis and treatment data monitoring results. The explosion injury diagnosis and treatment data monitoring optimization is used to reduce the complexity of remote diagnosis and treatment data transmission for explosion injuries. The diagnostic and treatment data blockchain consensus assessment module is used to perform a diagnostic and treatment data blockchain consensus assessment after the monitoring of blast injury diagnostic and treatment data is qualified. During this process, the diagnostic and treatment data blockchain consensus assessment results are obtained, and the remote diagnostic and treatment data blockchain consensus optimization is determined based on the results. The remote diagnostic and treatment data blockchain consensus optimization is used to improve the qualification of the remote diagnostic and treatment data blockchain consensus. The explosion injury remote diagnosis and treatment data storage quality monitoring module is used to perform explosion injury remote diagnosis and treatment data storage quality monitoring after the blockchain consensus assessment of the diagnosis and treatment data is qualified. During this process, the explosion injury remote diagnosis and treatment data storage quality monitoring results are obtained, and the module determines whether to send an explosion injury remote diagnosis and treatment data intelligent storage qualified prompt to preset personnel based on the explosion injury remote diagnosis and treatment data storage quality monitoring results.

2. The blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries according to claim 1, characterized in that, The specific process for determining whether to optimize blast injury diagnosis and treatment data monitoring based on the monitoring results is as follows: The ratio of the blast injury diagnosis and treatment data monitoring delay to the preset blast injury diagnosis and treatment data monitoring delay is used to quantify the blast injury diagnosis and treatment data monitoring result, which reflects the degree of blast injury diagnosis and treatment data reception delay. Determine whether the acquired blast injury diagnosis and treatment data monitoring results meet the qualified conditions for diagnosis and treatment data processing; The qualified condition for the diagnosis and treatment data processing means that the monitoring result of the blast injury diagnosis and treatment data is not greater than the preset monitoring result of the blast injury diagnosis and treatment data. If the monitoring results of blast injury diagnosis and treatment data do not meet the qualification conditions for diagnosis and treatment data processing, the monitoring of blast injury diagnosis and treatment data will be optimized. Otherwise, the corresponding blast injury diagnosis and treatment data will be marked as blast injury remote diagnosis and treatment data, and a diagnosis and treatment data blockchain consensus assessment will be performed to evaluate the qualification level of the consensus of blast injury remote diagnosis and treatment data.

3. The blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries according to claim 2, characterized in that, The specific process for optimizing the monitoring of blast injury diagnosis and treatment data is as follows: The first step is to conduct a node communication interaction frequency analysis to assess the communication between remote consultation nodes. Determine whether the number of communication interactions between nodes during the preset medical data monitoring period, which is used to reflect the load status of remote consultation nodes, is less than or equal to the preset number of communication interactions between nodes. If yes, a node communication interaction qualification prompt is sent; otherwise, the transmission power of remote diagnosis and treatment data for blast injuries is adjusted. The second step is to adjust the transmission power of remote diagnosis and treatment data for blast injuries to reduce the communication complexity between remote consultation nodes; Based on the original remote diagnosis and treatment data transmission power of blast injuries, the transmission power of the diagnosis and treatment data is adjusted. The operation of the diagnostic data transmission power means that the original remote diagnostic data transmission power of the blast injury is gradually increased to the preset maximum remote diagnostic data transmission power of the blast injury by adjusting the original remote diagnostic data transmission power of the blast injury in a preset step size according to the ratio of the diagnostic data transmission power. The ratio of the transmission power of the diagnostic and treatment data is represented by the result of quantifying the difference between the preset maximum remote diagnostic and treatment data transmission power of blast injuries and the original remote diagnostic and treatment data transmission power of blast injuries, and is used to reflect the fineness of the adjustment of the transmission power of the diagnostic and treatment data. If the monitoring results of the remote diagnosis and treatment data of blast injuries, which are reacquired after the transmission power of the remote diagnosis and treatment data of blast injuries is adjusted, meet the qualified conditions for diagnosis and treatment data processing, the corresponding blast injury diagnosis and treatment data will be marked as remote diagnosis and treatment data of blast injuries, and the diagnosis and treatment data blockchain consensus assessment will be performed; otherwise, the remote diagnosis and treatment data of blast injuries will be spread spectrum processed. The spread spectrum processing of the remote diagnosis and treatment data for blast injuries is used to reduce the bit error rate of the remote diagnosis and treatment data for blast injuries on the blockchain, thereby improving the anti-interference capability of communication between remote consultation nodes.

4. The blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries according to claim 3, characterized in that, The specific process of spreading the data for remote diagnosis and treatment of blast injuries is as follows: The bandwidth of the original remote diagnosis and treatment data of blast injuries is modulated to the preset bandwidth by a preset spreading code, and then the high-speed remote diagnosis and treatment data stream of blast injuries is decomposed into low-speed remote diagnosis and treatment data sub-streams of blast injuries and transmitted in parallel to the remote consultation node. If the monitoring results of the blast injury diagnosis and treatment data re-acquired after the remote diagnosis and treatment data of blast injuries undergoes spread spectrum processing and meet the qualified conditions for diagnosis and treatment data processing, the corresponding blast injury diagnosis and treatment data will be marked as remote diagnosis and treatment data of blast injuries, and a diagnosis and treatment data blockchain consensus assessment will be performed. Otherwise, an abnormality prompt for blast injury diagnosis and treatment data monitoring optimization will be sent to the preset personnel.

5. The blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries according to claim 4, characterized in that, The specific process for performing blockchain consensus assessment of medical data is as follows: The evaluation result of the blockchain consensus on diagnosis and treatment data is obtained by quantifying the proportion of the success rate of the consensus on remote diagnosis and treatment data for blast injuries to the preset success rate of the consensus on remote diagnosis and treatment data for blast injuries. This result is used to reflect the degree of qualification of the consensus on remote diagnosis and treatment data for blast injuries. Determine whether the obtained diagnosis and treatment data blockchain consensus assessment results meet the qualification conditions for diagnosis and treatment data consensus; The qualification condition for consensus on diagnostic and treatment data indicates that the consensus evaluation result of the diagnostic and treatment data blockchain is greater than the preset consensus evaluation result of the diagnostic and treatment data blockchain. The consensus success rate of remote diagnosis and treatment data for blast injuries is used to reflect the quality of the amount of remote diagnosis and treatment data for blast injuries. If the consensus assessment result of the diagnosis and treatment data blockchain meets the qualification conditions for diagnosis and treatment data consensus, the corresponding remote diagnosis and treatment data of blast injuries will be marked as remote diagnosis and treatment data of blast injuries to be stored and input into the intelligent storage system for remote diagnosis and treatment data of blast injuries. The data storage quality monitoring of remote diagnosis and treatment data of blast injuries, which reflects the degree of interference in the data storage of remote diagnosis and treatment data of blast injuries, will be performed. Otherwise, the consensus optimization of remote diagnosis and treatment data blockchain will be carried out to improve the qualification of consensus of remote diagnosis and treatment data of blast injuries in the blockchain. The optimization of the remote diagnosis and treatment data blockchain consensus includes: remote diagnosis and treatment data blockchain consensus processing to improve the efficiency of remote diagnosis and treatment data consensus for blast injuries and remote diagnosis and treatment data blockchain consensus verification to verify the qualification of remote diagnosis and treatment data consensus for blast injuries.

6. The blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries according to claim 5, characterized in that, The specific process of blockchain consensus processing for remote medical diagnosis and treatment data is as follows: The first step is to generate a dynamic blockchain window. The node that receives the most data types of remote diagnosis and treatment of blast injuries in the blockchain is marked as the blockchain master node; The ratio of remote diagnosis and treatment data transmission time for blast injuries to the preset remote diagnosis and treatment data transmission time for blast injuries is used to quantify the preset dynamic window length ratio, which reflects the fineness of the dynamic window width adjustment of the blockchain. Based on the blockchain master node, the transmission time of remote diagnosis and treatment data of blast injuries is divided according to the preset dynamic window length ratio, and each blockchain dynamic window generates a unique blockchain dynamic window ID. The blockchain dynamic window generation is used to ensure the accuracy of the data segmentation units for remote diagnosis and treatment of blast injuries, thereby ensuring the orderly segmentation of the data. The second step involves verifying remote diagnosis and treatment data for blast injuries. Based on the blockchain dynamic window ID, perform remote diagnosis and treatment data analysis on blast injuries in each blockchain dynamic window, and transmit qualified remote diagnosis and treatment data on blast injuries to all consensus nodes. The verification of remote diagnosis and treatment data for blast injuries is used to ensure the authenticity and integrity of the remote diagnosis and treatment data for blast injuries during the blockchain consensus process.

7. The blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries according to claim 6, characterized in that, The specific process for analyzing remote diagnosis and treatment data of blast injuries is as follows: The proportion of remote diagnosis and treatment data of blast injuries from the blockchain master node to the remote diagnosis and treatment data of blast injuries from the consensus node is quantified to obtain the result of remote diagnosis and treatment data of blast injuries that reflects the completeness of the data. The proportion of the amount of remote diagnosis and treatment data of blast injuries in the blockchain master node and the amount of remote diagnosis and treatment data of blast injuries in the consensus node is quantified to obtain the data type of remote diagnosis and treatment data of blast injuries that reflects the completeness of the amount of remote diagnosis and treatment data of blast injuries. Determine whether the results of remote diagnosis and treatment data analysis for blast injuries are within the corresponding preset range of remote diagnosis and treatment data analysis results for blast injuries; The preset range of remote diagnosis and treatment data analysis results for blast injuries includes: the preset range of remote diagnosis and treatment data volume results and the preset range of remote diagnosis and treatment data types results for blast injuries. The results of the remote diagnosis and treatment data analysis for blast injuries include: the data volume results and the data type results for remote diagnosis and treatment of blast injuries. If the results of the remote diagnosis and treatment data for blast injuries are within the corresponding preset range, the corresponding remote diagnosis and treatment data for blast injuries will be marked as qualified remote diagnosis and treatment data for blast injuries. Otherwise, an abnormality notification for qualified remote diagnosis and treatment data for blast injuries will be sent to the preset personnel.

8. The blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries according to claim 5, characterized in that, The specific process for verifying the blockchain consensus of the remote medical diagnosis and treatment data is as follows: The consensus node consistency result is obtained by quantifying the proportion of the remote diagnosis and treatment data of explosion injuries from the blockchain master node and the consensus node. If the consensus node's consensus result is within the preset range, the remote diagnosis and treatment data blockchain consensus processing will be stopped; otherwise, the main blockchain master node will be triggered to retransmit to ensure that all nodes are synchronized to a consistent state. If the consensus evaluation result of the remote diagnosis and treatment data blockchain, after verification, meets the consensus qualification conditions and the consensus node consistency result is within the preset consensus node consistency result range, the corresponding remote diagnosis and treatment data of blast injuries will be marked as remote diagnosis and treatment data of blast injuries to be stored and input into the intelligent storage system for remote diagnosis and treatment data of blast injuries to perform data storage quality monitoring of remote diagnosis and treatment data of blast injuries; otherwise, the remote diagnosis and treatment data of blast injuries will be retransmitted. The retransmission of remote diagnosis and treatment data for blast injuries indicates that abnormal remote diagnosis and treatment data for blast injuries will be retransmitted. If the blockchain consensus assessment result of the re-acquired diagnosis and treatment data after the retransmission of the remote diagnosis and treatment data for blast injuries meets the consensus qualification conditions for diagnosis and treatment data, the corresponding remote diagnosis and treatment data for blast injuries will be marked as remote diagnosis and treatment data for blast injuries to be stored and input into the intelligent storage system for remote diagnosis and treatment data for blast injuries to perform data storage quality monitoring for remote diagnosis and treatment data for blast injuries. Otherwise, an abnormal data transmission prompt for remote diagnosis and treatment data for blast injuries will be sent to the preset personnel.

9. The blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries according to claim 8, characterized in that, The specific process for performing data storage quality monitoring for remote diagnosis and treatment of blast injuries is as follows: The data storage time for remote diagnosis and treatment of blast injuries is quantified by comparing it with the preset data storage time for remote diagnosis and treatment of blast injuries to obtain the data storage quality monitoring results for remote diagnosis and treatment of blast injuries, which reflect the timeliness of the data. Determine whether the data storage quality monitoring results for remote diagnosis and treatment of blast injuries meet the qualified conditions for data storage quality of remote diagnosis and treatment of blast injuries. The qualified condition for the storage quality of remote diagnosis and treatment data for blast injuries means that the monitoring result of the storage quality of remote diagnosis and treatment data for blast injuries is not greater than the preset monitoring result of the storage quality of remote diagnosis and treatment data for blast injuries. If the data storage quality monitoring results for remote diagnosis and treatment of blast injuries meet the qualified conditions for data storage quality of remote diagnosis and treatment of blast injuries, a qualified intelligent storage prompt for remote diagnosis and treatment of blast injuries will be sent to the preset personnel; otherwise, an abnormal intelligent storage prompt for remote diagnosis and treatment of blast injuries will be sent to the preset personnel.

10. The blockchain-based intelligent storage system for remote diagnosis and treatment data of blast injuries according to claim 8, characterized in that, The specific process for performing data storage quality monitoring for remote diagnosis and treatment of blast injuries is as follows: Determine whether the data quality result of remote diagnosis and treatment of blast injuries is greater than or equal to the preset data quality result of remote diagnosis and treatment of blast injuries. The data storage quality results for remote diagnosis and treatment of blast injuries are used to reflect the degree of interference in the data storage quality of remote diagnosis and treatment of blast injuries. If yes, a notification indicating that the remote diagnosis and treatment data for blast injuries is in good condition will be sent to the designated personnel; otherwise, a notification indicating that the remote diagnosis and treatment data for blast injuries is in bad condition will be sent to the designated personnel.

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