Medical test data archiving method and system

Abstract

The present invention relates to the field of medical data processing technology, and in particular to a method and system for archiving medical test data. The method comprises the following steps: obtaining a target interface of a medical test device and constructing a same-domain and heterogeneous transmission channel and collecting medical data transmission to obtain a medical test data set; performing hash duplication and redundancy detection and index metadata annotation processing on the medical test data set to obtain a medical test data duplicate instance index metadata label; performing repeated implicit link merging and archiving classification dimension design on the medical test data hash duplication and redundancy instances based on the medical test data duplicate instance index metadata label to obtain a medical test data archive classification dimension data set; performing data archiving control processing on the medical test data duplicate implicit link merging data set according to the medical test data archive classification dimension data set to obtain a medical test data archive storage result. The present invention can realize efficient archiving and safe management of medical test data.

Description

Technical Field

[0001] The present invention relates to the technical field of medical data processing, and in particular to a medical test data archiving method and archiving system. Background Art

[0002] The archiving process of medical test data is a crucial part in the medical field. It covers data on medical tests and research, and is of great significance for doctors to provide accurate test processes and scientific research. At the same time, with the continuous development of medical technology and the advancement of medical informatization, and based on the development of current technology and the needs of the medical industry, the existing medical test data archiving method utilizes advanced technical means in the fields of information technology, data management and artificial intelligence, and can realize the intelligent management and archiving of medical test data. Among them, advanced data management technologies, including data cleaning, data standardization, data classification and data indexing, are adopted to ensure the accuracy, integrity and consistency of medical test data. Secondly, cloud computing and big data storage technologies are used to establish an efficient and secure data storage platform, which can realize the unified storage and management of medical test data. Then, with the help of artificial intelligence and machine learning technologies, medical test data are intelligently analyzed and mined to find the correlation and regularity between data to provide decision support for the archiving operation of medical test data. In addition, blockchain technology is combined to ensure the security and privacy protection of medical test data and prevent data from being tampered with or leaked. However, the traditional medical test data archiving method is realized through the above technologies, and there are often problems such as irregular data storage index and inconvenient retrieval. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a medical test data archiving method and system to solve at least one of the above technical problems.

[0004] To achieve the above object, a method for archiving medical test data comprises the following steps:

[0005] Step S1: obtaining a target interface of a medical testing device, and constructing a same-domain and heterogeneous transmission channel for the target interface of the medical testing device and a preset medical data cloud storage server to obtain a comprehensive network transmission connection channel for the medical testing device; performing medical data transmission and collection on the target interface of the medical testing device through the comprehensive network transmission connection channel for the medical testing device to obtain a medical testing data set;

[0006] Step S2: performing hash duplication and redundancy detection on the medical test data set to obtain a hash duplication and redundancy instance of the medical test data; performing index metadata annotation processing on the hash duplication and redundancy instance of the medical test data to obtain an index metadata label of the duplication instance of the medical test data;

[0007] Step S3: performing repeated implicit link merging on the hash repeated redundant instances of the medical test data based on the medical test data repeated instance index metadata tag to obtain a medical test repeated implicit link merged data set; performing archiving classification dimension design on the medical test repeated implicit link merged data set to obtain a medical test data archiving classification dimension data set;

[0008] Step S4: performing data archiving control processing on the medical test data set with repeated implicit links and merged according to the medical test data archiving classification dimension data set to obtain the medical test data archiving storage result.

[0009] The present invention first obtains the target interface of the corresponding medical test equipment, which is the key connection interface connecting the medical test equipment with other systems or devices. By obtaining the target interface, data collection and transmission of the medical test equipment can be realized, thereby providing basic guarantee for subsequent data analysis and data collection and processing. By constructing the same and different domain transmission channels for the medical test equipment target interface and the preset medical data cloud storage server, the corresponding same domain transmission channel and different domain transmission channel can be constructed. Among them, by establishing the same domain transmission channel, efficient transmission between the medical test equipment data and the cloud storage server can be achieved, thereby ensuring the timeliness and reliability of data transmission in the same network field. Similarly, by establishing a different domain transmission channel, the transmission restrictions and delays brought by the different domain network environment can be overcome, thereby realizing the cross-domain transmission of medical test data and ensuring the security and integrity of medical test data. At the same time, by merging the constructed same domain network transmission connection channel and the different domain network transmission connection channel, a comprehensive network transmission connection channel is obtained. This step can integrate the transmission mode and advantages between the target interface of the medical test equipment and the storage server in different network environments by merging the transmission connection channel, so as to realize the comprehensive transmission of medical test data, thereby improving the efficiency and stability of data transmission. By using the integrated network transmission connection channel of medical testing equipment to transmit and collect medical data on the target interface of medical testing equipment, data collection and integrated transmission of medical testing equipment in different network environments can be realized, so as to obtain a complete medical testing data set and provide data support for subsequent processing. Secondly, by performing hash duplication and redundancy detection on the medical testing data set, the duplicate and redundant data instances in the medical testing data set can be identified and processed. This step can effectively identify duplicate data instances by comparing and analyzing the hash values ​​in the data set, thereby reducing the redundancy of data storage and management, and improving data utilization and efficiency, which helps to optimize the data management process, reduce resource waste and data redundancy, and improve data processing efficiency and quality. By performing index metadata annotation processing on the hash duplication and redundant instances of medical testing data, detailed descriptions and labels can be added to each duplicate instance to facilitate the standardization and management process of subsequent data storage indexes, which helps to improve the searchability and discoverability of data, thereby facilitating the management and utilization of medical testing data. Then, the medical test data hash duplicate redundant instances are implicitly linked and merged based on the index metadata tags of the duplicate instances of the medical test data, so as to implicitly link and integrate the duplicate instances in the medical test data, thereby reducing data redundancy and duplication. By merging based on index metadata tags, it is possible to effectively identify and integrate duplicate instances in the data, thereby simplifying the data management and query process, improving data utilization and availability, which helps to optimize the data storage structure, reduce resource waste and data redundancy, and thus improve the efficiency and reliability of data management.By designing the archive classification dimension of the medical test repeated implicit link merged data set, a complete data archive classification system can be established to classify and manage the data according to different dimensions to meet the needs of different users and applications. This helps to improve the organizational structure and management efficiency of the data, making the medical test data easier to search, access and use. At the same time, it also provides more comprehensive and reliable data support for medical decision-making and research, and promotes the development of medical informationization and intelligence. Finally, by performing data archiving control processing on the medical test repeated implicit link merged data set according to the medical test data archiving classification dimension data set, it can store and process the data according to the set archiving control strategy, which can effectively manage and store the medical test data, ensure the security and accessibility of the data, and such archiving storage results can provide a reliable data basis for subsequent data query and application, which helps to improve the convenience and accuracy of the medical test data retrieval process.

[0010] Preferably, the present invention further provides a medical test data archiving system for executing the medical test data archiving method as described above, the medical test data archiving system comprising:

[0011] The medical inspection equipment data transmission and collection module is used to obtain the target interface of the medical inspection equipment, and to construct a same-domain and heterogeneous transmission channel for the target interface of the medical inspection equipment and a preset medical data cloud storage server, so as to obtain a comprehensive network transmission connection channel for the medical inspection equipment; to transmit and collect medical data on the target interface of the medical inspection equipment through the comprehensive network transmission connection channel for the medical inspection equipment, so as to obtain a medical inspection data set;

[0012] The medical duplicate data index label annotation module is used to perform hash duplication and redundancy detection on the medical test data set to obtain the medical test data hash duplication and redundancy instance; perform index metadata annotation processing on the medical test data hash duplication and redundancy instance to obtain the medical test data duplication instance index metadata label;

[0013] The medical test data archiving classification dimension design module is used to perform repeated implicit link merging on the medical test data hash repeated redundant instances based on the medical test data repeated instance index metadata label to obtain the medical test repeated implicit link merged data set; perform archiving classification dimension design on the medical test repeated implicit link merged data set to obtain the medical test data archiving classification dimension data set;

[0014] The medical test data archiving control module is used to perform data archiving control processing on the medical test repeated implicit link merged data set according to the medical test data archiving classification dimension data set, so as to obtain the medical test data archiving storage result.

[0015] In summary, the present invention provides a medical test data archiving system, which consists of a medical test equipment data transmission and acquisition module, a medical duplicate data index label marking module, a medical test data archiving classification dimension design module and a medical test data archiving control module. It can implement any medical test data archiving method described in the present invention, and is used to combine the operations between computer programs running on each module to implement any medical test data archiving method. The internal structures of the system cooperate with each other, which can greatly reduce repetitive work and manpower investment, and can quickly and effectively provide a more accurate and efficient medical test data archiving process, thereby simplifying the operating procedures of the medical test data archiving system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0017] Figure 1 A schematic diagram of the steps of the medical test data archiving method of the present invention;

[0018] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0019] Figure 3 for Figure 2 Detailed step flow chart of step S14 in FIG. DETAILED DESCRIPTION

[0020] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0022] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0023] To achieve this, please refer to Figures 1 to 3 The present invention provides a method for archiving medical test data, the method comprising the following steps:

[0024] Step S1: obtaining a target interface of a medical testing device, and constructing a same-domain and heterogeneous transmission channel for the target interface of the medical testing device and a preset medical data cloud storage server to obtain a comprehensive network transmission connection channel for the medical testing device; performing medical data transmission and collection on the target interface of the medical testing device through the comprehensive network transmission connection channel for the medical testing device to obtain a medical testing data set;

[0025] Step S2: performing hash duplication and redundancy detection on the medical test data set to obtain a hash duplication and redundancy instance of the medical test data; performing index metadata annotation processing on the hash duplication and redundancy instance of the medical test data to obtain an index metadata label of the duplication instance of the medical test data;

[0026] Step S3: performing repeated implicit link merging on the hash repeated redundant instances of the medical test data based on the medical test data repeated instance index metadata tag to obtain a medical test repeated implicit link merged data set; performing archiving classification dimension design on the medical test repeated implicit link merged data set to obtain a medical test data archiving classification dimension data set;

[0027] Step S4: performing data archiving control processing on the medical test data set with repeated implicit links and merged according to the medical test data archiving classification dimension data set to obtain the medical test data archiving storage result.

[0028] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the medical test data archiving method of the present invention. In this example, the medical test data archiving method includes the following steps:

[0029] Step S1: obtaining a target interface of a medical testing device, and constructing a same-domain and heterogeneous transmission channel for the target interface of the medical testing device and a preset medical data cloud storage server to obtain a comprehensive network transmission connection channel for the medical testing device; performing medical data transmission and collection on the target interface of the medical testing device through the comprehensive network transmission connection channel for the medical testing device to obtain a medical testing data set;

[0030] The embodiment of the present invention obtains the target interface of the medical inspection device by acquiring the key target connection interface connecting the medical inspection device with other systems or devices. At the same time, by analyzing the network environment where the target interface of the medical inspection device is located, including the local area network or the Internet, and analyzing the network environment where the medical data cloud storage server is located, to determine whether it is in the same network domain as the medical inspection device, and also by identifying the same-domain or different-domain network environment between the target interface of the medical inspection device and the storage server according to the network topology and configuration information, secondly, by combining the same-domain network environment area location between the target interface of the medical inspection device and the storage server obtained by analysis, the communication parameters between the medical inspection device and the storage server are configured, and appropriate communication equipment or software is deployed to establish a same-domain transmission channel between the medical inspection device and the storage server. In addition, by analyzing the target interface of the medical inspection device and the interface data specification of the preset medical data cloud storage server, According to the analysis results, a suitable data compatibility adaptation scheme is designed to develop adaptation software or firmware to realize the conversion and adaptation of the data format between the medical inspection equipment and the storage server. At the same time, the communication interface of the medical inspection equipment and the data storage interface of the storage server are adapted and configured to generate the corresponding cross-domain network dynamic communication protocol. Then, the communication parameters between the medical inspection equipment and the storage server are configured by combining the cross-domain network dynamic communication protocol obtained by dynamic analysis, so as to establish a heterogeneous communication transmission channel between the medical inspection equipment and the storage server according to the configured communication parameters, and the same-domain communication transmission channel and heterogeneous communication transmission channel obtained by construction are integrated to realize the comprehensive transmission of medical inspection data, so as to obtain the medical inspection equipment comprehensive network transmission connection channel. Finally, the data transmission parameters between the medical inspection equipment and the storage server are configured by using the merged medical inspection equipment comprehensive network transmission connection channel, and the data transmission acquisition function is started according to the configured data transmission parameters to obtain data from the target interface of the medical inspection equipment to transmit to the storage server, so as to realize the data collection and integrated transmission of the medical inspection equipment in different network environments, and finally obtain the medical inspection data set.

[0031] Step S2: performing hash duplication and redundancy detection on the medical test data set to obtain a hash duplication and redundancy instance of the medical test data; performing index metadata annotation processing on the hash duplication and redundancy instance of the medical test data to obtain an index metadata label of the duplication instance of the medical test data;

[0032] The embodiment of the present invention performs data preprocessing on a medical test data set, and calculates each data instance in the preprocessed medical test data set by using a suitable hash function (such as MD5, SHA-1 or SHA-256) to map the data instance into a hash value of a fixed length, and performs duplicate redundancy detection on the corresponding medical test data instances in the medical test data set by combining and analyzing the hash values ​​of each medical test data instance to identify data instances with the same hash value and confirm them as duplicate redundant instances, then, performs data analysis on the identified duplicate redundant instances to analyze the characteristics and attributes of the corresponding data instances, and adds corresponding metadata tags for each medical test data hash duplicate redundant instance based on the characteristics and attributes obtained by the analysis, including but not limited to timestamp, data source, related information, etc., to finally obtain a metadata tag for an index of duplicate instances of medical test data.

[0033] Step S3: performing repeated implicit link merging on the hash repeated redundant instances of the medical test data based on the medical test data repeated instance index metadata tag to obtain a medical test repeated implicit link merged data set; performing archiving classification dimension design on the medical test repeated implicit link merged data set to obtain a medical test data archiving classification dimension data set;

[0034] The embodiment of the present invention groups the medical test data hash duplicate redundant instances obtained by analysis by using an appropriate grouping algorithm (for example, a clustering algorithm based on similarity or features) to group similar instances into the same group, and matches the labels of the corresponding medical test data duplicate instances in the medical test data hash duplicate instance set of each group according to the specific content, characteristic value or other metadata of the medical test data duplicate instance index metadata label, so as to associate each duplicate instance with its corresponding index metadata label, thereby extracting the index metadata label of the unique instance and the index metadata labels of the remaining medical test data duplicate instances, and also linking the unique instance index metadata label and the remaining duplicate instance index metadata labels obtained by screening to associate the remaining data duplicate instance index labels in each group with the unique instance index label to obtain their corresponding implicit link label headers, and secondly, by combining the connected label header with the unique instance link to ensure that the combined data structure can accurately represent the relationship between the unique instance and the duplicate instance, and integrate them into a complete data set, thereby obtaining a medical test duplicate implicit link merged data set. By using natural language processing technology to analyze the content of the corresponding medical test data in the merged medical test duplicate implicit link merged data set, we can deeply understand the content and characteristics of the medical test data, and discover the attribute conditions of the content in the medical test content data and the specific application scenario requirements. Then, by combining the attribute data obtained by analysis and the business demand data, we design the classification dimensions of the corresponding medical test duplicate merged data in the medical test duplicate implicit link merged data set, so as to establish a complete data archiving classification system, and classify and manage the medical test duplicate merged data according to different dimensions, including classification dimensions by patient, by test item, by time, by hospital information, etc., and finally obtain the medical test data archiving classification dimension data set.

[0035] Step S4: performing data archiving control processing on the medical test data set with repeated implicit links and merged according to the medical test data archiving classification dimension data set to obtain the medical test data archiving storage result.

[0036] The embodiment of the present invention uses an association evaluation and analysis method to evaluate and analyze a medical test data archiving classification dimension data set (including dimensions such as by patient, by test item, by time, by hospital information, etc.) to gain an in-depth understanding of the association relationship between each medical test data archiving classification dimension, and determines the principle of hierarchical division by combining the archiving association relationship between each medical test data archiving classification dimension obtained by analysis, such as dividing according to the direct association relationship between the data or a more complex association pattern, and at the same time, hierarchically divides the corresponding archiving classification dimensions in the medical test data archiving classification dimension data set by using the determined hierarchical division principle, so as to divide the archiving classification dimensions with relatively high correlation into hierarchical divisions. The high archiving classification dimensions are classified into the same level. Secondly, the corresponding medical test duplicate implicit link merged data sets are designed with strategies according to the archiving classification dimension levels obtained by the division, so as to formulate data archiving rules and management strategies for different classification dimensions, and archive and store the qualified medical test data in the corresponding medical test duplicate implicit link merged data sets to effectively manage and store the medical test data, and record the metadata information of the archived storage, including the archiving time, archiving conditions, archiving location, etc. At the same time, the archived storage data is backed up and managed to ensure the security and reliability of the medical test data, and finally the archiving storage results of the medical test data are obtained.

[0037] The present invention first obtains the target interface of the corresponding medical test equipment, which is the key connection interface connecting the medical test equipment with other systems or devices. By obtaining the target interface, data collection and transmission of the medical test equipment can be realized, thereby providing basic guarantee for subsequent data analysis and data collection and processing. By constructing the same and different domain transmission channels for the medical test equipment target interface and the preset medical data cloud storage server, the corresponding same domain transmission channel and different domain transmission channel can be constructed. Among them, by establishing the same domain transmission channel, efficient transmission between the medical test equipment data and the cloud storage server can be achieved, thereby ensuring the timeliness and reliability of data transmission in the same network field. Similarly, by establishing a different domain transmission channel, the transmission restrictions and delays brought by the different domain network environment can be overcome, thereby realizing the cross-domain transmission of medical test data and ensuring the security and integrity of medical test data. At the same time, by merging the constructed same domain network transmission connection channel and the different domain network transmission connection channel, a comprehensive network transmission connection channel is obtained. This step can integrate the transmission mode and advantages between the target interface of the medical test equipment and the storage server in different network environments by merging the transmission connection channel, so as to realize the comprehensive transmission of medical test data, thereby improving the efficiency and stability of data transmission. By using the integrated network transmission connection channel of medical testing equipment to transmit and collect medical data on the target interface of medical testing equipment, data collection and integrated transmission of medical testing equipment in different network environments can be realized, so as to obtain a complete medical testing data set and provide data support for subsequent processing. Secondly, by performing hash duplication and redundancy detection on the medical testing data set, the duplicate and redundant data instances in the medical testing data set can be identified and processed. This step can effectively identify duplicate data instances by comparing and analyzing the hash values ​​in the data set, thereby reducing the redundancy of data storage and management, and improving data utilization and efficiency, which helps to optimize the data management process, reduce resource waste and data redundancy, and improve data processing efficiency and quality. By performing index metadata annotation processing on the hash duplication and redundant instances of medical testing data, detailed descriptions and labels can be added to each duplicate instance to facilitate the standardization and management process of subsequent data storage indexes, which helps to improve the searchability and discoverability of data, thereby facilitating the management and utilization of medical testing data. Then, the medical test data hash duplicate redundant instances are implicitly linked and merged based on the index metadata tags of the duplicate instances of the medical test data, so as to implicitly link and integrate the duplicate instances in the medical test data, thereby reducing data redundancy and duplication. By merging based on index metadata tags, it is possible to effectively identify and integrate duplicate instances in the data, thereby simplifying the data management and query process, improving data utilization and availability, which helps to optimize the data storage structure, reduce resource waste and data redundancy, and thus improve the efficiency and reliability of data management.By designing the archive classification dimension of the medical test repeated implicit link merged data set, a complete data archive classification system can be established to classify and manage the data according to different dimensions to meet the needs of different users and applications. This helps to improve the organizational structure and management efficiency of the data, making the medical test data easier to search, access and use. At the same time, it also provides more comprehensive and reliable data support for medical decision-making and research, and promotes the development of medical informationization and intelligence. Finally, by performing data archiving control processing on the medical test repeated implicit link merged data set according to the medical test data archiving classification dimension data set, it can store and process the data according to the set archiving control strategy, which can effectively manage and store the medical test data, ensure the security and accessibility of the data, and such archiving storage results can provide a reliable data basis for subsequent data query and application, which helps to improve the convenience and accuracy of the medical test data retrieval process.

[0038] Preferably, step S1 comprises the following steps:

[0039] Step S11: Acquire the target interface of the medical testing equipment;

[0040] Step S12: performing network environment identification and analysis on the medical testing device target interface and the preset medical data cloud storage server to obtain the same-domain network environment and the different-domain network environment between the medical testing device target interface and the storage server;

[0041] Step S13: constructing a same-domain transmission channel for the medical testing device target interface and the preset medical data cloud storage server based on the same-domain network environment between the medical testing device target interface and the storage server to obtain a same-domain network transmission connection channel for the medical testing device;

[0042] Step S14: constructing a foreign transmission channel for the medical testing device target interface and the preset medical data cloud storage server based on the foreign network environment between the medical testing device target interface and the storage server to obtain a foreign network transmission connection channel for the medical testing device;

[0043] Step S15: merging the same-domain network transmission connection channel of the medical testing equipment and the different-domain network transmission connection channel of the medical testing equipment to obtain a comprehensive network transmission connection channel of the medical testing equipment;

[0044] Step S16: Transmit and collect medical data to the target interface of the medical testing equipment through the integrated network transmission connection channel of the medical testing equipment to obtain a medical testing data set.

[0045] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0046] Step S11: Acquire the target interface of the medical testing equipment;

[0047] The embodiment of the present invention obtains the key target connection interface connecting the medical inspection equipment with other systems or equipment, and finally obtains the target interface of the medical inspection equipment.

[0048] Step S12: performing network environment identification and analysis on the medical testing device target interface and the preset medical data cloud storage server to obtain the same-domain network environment and the different-domain network environment between the medical testing device target interface and the storage server;

[0049] The embodiment of the present invention analyzes the network environment where the target interface of the medical testing equipment is located, including the local area network or the Internet, and analyzes the network environment where the medical data cloud storage server is located to determine whether it is in the same network domain as the medical testing equipment. At the same time, by identifying the same-domain or different-domain network environment between the target interface of the medical testing equipment and the storage server according to the network topology and configuration information, the same-domain network environment and the different-domain network environment between the target interface of the medical testing equipment and the storage server are finally obtained.

[0050] Step S13: constructing a same-domain transmission channel for the medical testing device target interface and the preset medical data cloud storage server based on the same-domain network environment between the medical testing device target interface and the storage server to obtain a same-domain network transmission connection channel for the medical testing device;

[0051] The embodiment of the present invention configures the communication parameters between the medical testing equipment and the storage server by combining the analyzed location of the same-domain network environment area between the target interface of the medical testing equipment and the storage server, and deploys appropriate communication equipment or software to establish a same-domain transmission channel between the medical testing equipment and the storage server, and finally obtains the same-domain network transmission connection channel for the medical testing equipment.

[0052] Step S14: constructing a foreign transmission channel for the medical testing device target interface and the preset medical data cloud storage server based on the foreign network environment between the medical testing device target interface and the storage server to obtain a foreign network transmission connection channel for the medical testing device;

[0053] The embodiment of the present invention first analyzes the target interface of the medical test equipment and the interface data specifications of the preset medical data cloud storage server, and designs a suitable data compatibility adaptation scheme according to the analysis results to develop adaptation software or firmware to realize the conversion and adaptation of the data format between the medical test equipment and the storage server. At the same time, by designing a heterogeneous communication access control strategy, including authentication, authorization, data encryption and other security mechanisms, an access control device or software is deployed between the adapted medical test equipment and the storage server, and corresponding access control rules are configured to control the access to the heterogeneous network environment between the target interface of the medical test equipment and the storage server, so as to limit the access to the storage server to only the authorized medical test equipment. Testing equipment, and secondly, by obtaining the network delay and transmission limit of data transmission in the heterogeneous communication environment, select appropriate communication protocol conversion technology, such as protocol agent, middleware or gateway, etc., adapt and configure the communication interface of the medical testing equipment and the data storage interface of the storage server to generate the corresponding cross-domain network dynamic communication protocol, and then, configure the communication parameters between the medical testing equipment and the storage server by combining the cross-domain network dynamic communication protocol obtained by dynamic analysis, so as to establish a heterogeneous communication transmission channel between the medical testing equipment and the storage server according to the configured communication parameters, and realize efficient transmission and exchange of medical testing data in the heterogeneous network environment, and finally obtain the heterogeneous network transmission connection channel of the medical testing equipment.

[0054] Step S15: merging the same-domain network transmission connection channel of the medical testing equipment and the different-domain network transmission connection channel of the medical testing equipment to obtain a comprehensive network transmission connection channel of the medical testing equipment;

[0055] The embodiment of the present invention integrates and constructs the same-domain network transmission connection channel of medical testing equipment and the different-domain network transmission connection channel of medical testing equipment to realize the comprehensive transmission of medical testing data, and finally obtains the comprehensive network transmission connection channel of medical testing equipment.

[0056] Step S16: Transmit and collect medical data to the target interface of the medical testing equipment through the integrated network transmission connection channel of the medical testing equipment to obtain a medical testing data set.

[0057] The embodiment of the present invention configures the data transmission parameters between the medical testing equipment and the storage server by using the merged medical testing equipment integrated network transmission connection channel, and starts the data transmission collection function according to the configured data transmission parameters to obtain data from the target interface of the medical testing equipment for transmission to the storage server, thereby realizing data collection and integrated transmission of medical testing equipment in different network environments, and finally obtaining a medical testing data set.

[0058] The present invention first obtains the target interface of the corresponding medical test equipment, which is the key connection interface connecting the medical test equipment with other systems or devices. By obtaining the target interface, data collection and transmission of the medical test equipment can be realized, thereby providing a basic guarantee for subsequent data analysis and data collection processing. Secondly, by performing network environment identification and analysis on the target interface of the medical test equipment and the preset medical data cloud storage server, the network environment between the target interface of the medical test equipment and the storage server is obtained, including the same domain network environment and the foreign network environment, which helps to determine the network environment status of the data transmission between the target interface of the medical test equipment and the storage server, and provides data support for the subsequent transmission channel construction, thereby improving the efficiency and stability of data transmission. Then, based on the same domain network environment between the target interface of the medical test equipment and the storage server, the target interface of the medical test equipment and the preset medical data cloud storage server are constructed in the same domain transmission channel to construct the corresponding same domain transmission channel. By establishing the same domain transmission channel, efficient transmission between the medical test equipment data and the cloud storage server can be achieved, thereby ensuring the timeliness and reliability of data transmission in the same network field. Next, based on the heterogeneous network environment between the target interface of the medical test equipment and the storage server, a heterogeneous transmission channel is constructed for the target interface of the medical test equipment and the preset cloud storage server for medical data. The corresponding heterogeneous transmission channel is also constructed. By establishing the heterogeneous transmission channel, the transmission limitations and delays brought by the heterogeneous network environment can be overcome, thereby realizing the cross-domain transmission of medical test data and ensuring the security and integrity of the medical test data. At the same time, by merging the same-domain network transmission connection channel of the medical test equipment and the heterogeneous network transmission connection channel of the medical test equipment, a comprehensive network transmission connection channel is obtained. This step can integrate the transmission mode and advantages between the target interface of the medical test equipment and the storage server in different network environments by merging the transmission connection channel, so as to realize the comprehensive transmission of medical test data, thereby improving the efficiency and stability of data transmission. Finally, by using the comprehensive network transmission connection channel of the medical test equipment to transmit and collect medical data on the target interface of the medical test equipment, data collection and integrated transmission of medical test equipment in different network environments can be realized, thereby obtaining a complete medical test data set, providing data support for subsequent processing processes.

[0059] Preferably, step S14 comprises the following steps:

[0060] Step S141: performing data compatibility adaptation processing on the medical testing equipment target interface and the preset medical data cloud storage server to obtain the medical testing equipment foreign domain compatible adaptation interface and the medical data foreign domain compatible adaptation storage server;

[0061] Step S142: performing a foreign domain communication access control on the foreign domain network environment between the target interface of the medical testing device and the storage server, and obtaining a foreign domain communication access control environment between the target interface of the medical testing device and the storage server;

[0062] Step S143: performing cross-domain dynamic protocol conversion processing on the medical inspection equipment cross-domain compatible adapter interface and the medical data cross-domain compatible adapter storage server based on the cross-domain communication access control environment between the medical inspection equipment target interface and the storage server to obtain a cross-domain network dynamic communication protocol for the medical inspection equipment;

[0063] Step S144: construct a cross-domain transmission channel for the medical testing equipment heterogeneous compatible adapter interface and the medical data heterogeneous compatible adapter storage server according to the cross-domain network dynamic communication protocol of the medical testing equipment to obtain the medical testing equipment heterogeneous network transmission connection channel.

[0064] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S14 in the embodiment, step S14 includes the following steps:

[0065] Step S141: performing data compatibility adaptation processing on the medical testing equipment target interface and the preset medical data cloud storage server to obtain the medical testing equipment foreign domain compatible adaptation interface and the medical data foreign domain compatible adaptation storage server;

[0066] The embodiment of the present invention first analyzes the target interface of the medical testing equipment and the interface data specifications of the preset medical data cloud storage server, and designs a suitable data compatibility adaptation solution based on the analysis results to develop adaptation software or firmware to realize the conversion and adaptation of the data format between the medical testing equipment and the storage server, and ensure that the data of the medical testing equipment can be correctly identified and processed by the storage server, and finally obtain the heterogeneous compatible adaptation interface of the medical testing equipment and the heterogeneous compatible adaptation storage server of the medical data.

[0067] Step S142: performing a foreign domain communication access control on the foreign domain network environment between the target interface of the medical testing device and the storage server, and obtaining a foreign domain communication access control environment between the target interface of the medical testing device and the storage server;

[0068] The embodiment of the present invention designs a heterogeneous communication access control strategy, including security mechanisms such as authentication, authorization and data encryption, deploys access control devices or software between medical testing equipment and storage servers, and configures corresponding access control rules to control the access to communication in the heterogeneous network environment between the target interface of the medical testing equipment and the storage server, so as to limit the access to the storage server to only authorized medical testing equipment, and finally obtain a heterogeneous communication access control environment between the target interface of the medical testing equipment and the storage server.

[0069] Step S143: performing cross-domain dynamic protocol conversion processing on the medical inspection equipment cross-domain compatible adapter interface and the medical data cross-domain compatible adapter storage server based on the cross-domain communication access control environment between the medical inspection equipment target interface and the storage server to obtain a cross-domain network dynamic communication protocol for the medical inspection equipment;

[0070] The embodiment of the present invention firstly obtains the network delay of data transmission in the heterogeneous communication environment by setting corresponding test nodes in the heterogeneous communication access control environment between the target interface of the medical inspection device and the storage server, and tests the communication bandwidth in the heterogeneous communication access control environment between the target interface of the medical inspection device and the storage server by using a network performance test tool, so as to measure the bandwidth throughput of the communication channel by sending large files or continuous data streams, and evaluates the transmission bandwidth load of the heterogeneous communication environment by considering factors such as the frequency, data volume and transmission mode of data transmission according to the data transmission requirements of the communication protocol and the communication bandwidth data analysis, and evaluates the transmission limit of the medical inspection device in the heterogeneous communication environment at the same time, and then designs a corresponding cross-domain dynamic protocol conversion scheme by combining the network delay data and the communication transmission limit data obtained by the analysis, and selects a suitable communication protocol conversion technology, such as a protocol agent, middleware or gateway, according to the designed cross-domain dynamic protocol conversion scheme, to adapt and configure the communication interface of the medical inspection device and the data storage interface of the storage server to support cross-domain dynamic protocol conversion, and ensure the adaptability of the communication protocol between the medical inspection device and the storage server, and finally obtains a cross-domain network dynamic communication protocol for the medical inspection device.

[0071] Step S144: construct a cross-domain transmission channel for the medical testing equipment heterogeneous compatible adapter interface and the medical data heterogeneous compatible adapter storage server according to the cross-domain network dynamic communication protocol of the medical testing equipment to obtain the medical testing equipment heterogeneous network transmission connection channel.

[0072] The embodiment of the present invention configures the communication parameters between the medical testing equipment and the storage server by combining the cross-domain network dynamic communication protocol of the medical testing equipment obtained by dynamic analysis, so as to establish a heterogeneous communication transmission channel between the medical testing equipment heterogeneous compatible adaptation interface and the medical data heterogeneous compatible adaptation storage server according to the configured communication parameters, and realize the efficient transmission and exchange of medical testing data in the heterogeneous network environment, and finally obtain the heterogeneous network transmission connection channel of the medical testing equipment.

[0073] The present invention firstly performs data compatibility adaptation processing on the target interface of the medical test equipment and the preset cloud storage server for medical data, thereby realizing the compatibility adaptation of data formats in different network environment fields. This means that the medical test equipment can be connected to the data storage server in the heterogeneous environment, and the compatibility and consistency of the data can be ensured. Through the compatible adaptation processing, data from different sources can be effectively processed, and the basis for data preparation work for subsequent steps can be provided. Secondly, by performing heterogeneous communication access control on the heterogeneous network environment between the target interface of the medical test equipment and the storage server, the communication in the heterogeneous network environment can be managed and controlled, and the security and reliability of data transmission can be ensured. This step helps to establish a stable communication channel in the heterogeneous network environment, thereby preparing for the data transmission in the subsequent steps. Then, based on the heterogeneous communication access control environment between the target interface of the medical test equipment and the storage server, the medical test equipment heterogeneous compatible adapter interface and the medical data heterogeneous compatible adapter storage server are subjected to cross-domain dynamic protocol conversion processing to obtain the cross-domain network dynamic communication protocol of the medical test equipment. This step can achieve data transmission and communication between different network environments through dynamic protocol conversion to ensure the effective transmission and analysis of medical test data in a heterogeneous environment, thereby realizing a seamless transmission and collection process between heterogeneous systems. Finally, according to the cross-domain network dynamic communication protocol of the medical test equipment, the medical test equipment heterogeneous compatible adapter interface and the medical data heterogeneous compatible adapter storage server are subjected to heterogeneous transmission channel construction to establish the corresponding heterogeneous transmission channel. This step can achieve efficient transmission and exchange of medical test data in a heterogeneous network environment, ensure the stability and reliability of data transmission, and provide support for subsequent medical data management and analysis.

[0074] Preferably, step S143 includes the following steps:

[0075] Performing network delay detection on the heterogeneous communication access control environment between the target interface of the medical inspection equipment and the storage server to obtain network delay data of the heterogeneous communication environment of the medical inspection equipment;

[0076] The embodiment of the present invention sets a corresponding test node in a heterogeneous communication access control environment between a target interface of a medical testing device and a storage server, and uses a network diagnostic tool to send a data packet to the storage server at the test node to record the round-trip time (RTT) of the data packet, while understanding the network delay of data transmission in the heterogeneous communication environment, and finally obtaining the network delay data of the heterogeneous communication environment of the medical testing device.

[0077] Preferably, the communication bandwidth detection is performed on the foreign domain communication access control environment between the target interface of the medical testing equipment and the storage server to obtain the network bandwidth data of the foreign domain communication environment of the medical testing equipment;

[0078] The embodiment of the present invention uses a network performance testing tool to test the communication bandwidth in a heterogeneous communication access control environment between a target interface of a medical testing device and a storage server, so as to measure the bandwidth throughput of the communication channel by sending large files or continuous data streams, and evaluate and analyze the communication capabilities and bandwidth limitations of the heterogeneous communication environment, and finally obtain the network bandwidth data of the heterogeneous communication environment of the medical testing equipment.

[0079] Preferably, the transmission bandwidth load analysis is performed on the heterogeneous communication access control environment between the target interface of the medical testing equipment and the storage server according to the network bandwidth data of the heterogeneous communication environment of the medical testing equipment, so as to obtain the transmission bandwidth load data of the heterogeneous communication environment of the medical testing equipment;

[0080] The embodiment of the present invention compares the analyzed network bandwidth data of the heterogeneous communication environment of the medical testing equipment with the communication protocol requirements in the heterogeneous communication access control environment between the target interface of the medical testing equipment and the storage server, and evaluates the transmission bandwidth load of the heterogeneous communication environment based on the data transmission requirements of the communication protocol and the communication bandwidth data analysis and considering factors such as the frequency, data volume and transmission mode of the data transmission, so as to understand the load of the data transmission between the medical testing equipment and the storage server, and finally obtain the transmission bandwidth load data of the heterogeneous communication environment of the medical testing equipment.

[0081] Preferably, a transmission limit evaluation and analysis is performed on the transmission bandwidth load data of the medical testing equipment in the foreign communication environment to obtain the transmission limit data of the medical testing equipment in the foreign communication environment;

[0082] The embodiment of the present invention evaluates and analyzes the transmission bandwidth load data of the heterogeneous communication environment of medical testing equipment according to the physical connection, network topology and equipment performance (including communication requirements between devices, data transmission mode, existing network congestion and other equipment performance) of the heterogeneous communication environment of medical testing equipment, so as to evaluate the transmission limit of medical testing equipment in the heterogeneous communication environment, understand the transmission capacity limit of medical testing equipment in the heterogeneous environment, and finally obtain the heterogeneous communication transmission limit data of medical testing equipment.

[0083] Preferably, based on the network delay data of the medical testing equipment's heterogeneous communication environment and the medical testing equipment's heterogeneous communication transmission limit data, the medical testing equipment's heterogeneous compatibility adaptation interface and the medical data heterogeneous compatibility adaptation storage server are cross-domain dynamic protocol conversion processed to obtain the medical testing equipment's cross-domain network dynamic communication protocol.

[0084] The embodiment of the present invention designs a corresponding cross-domain dynamic protocol conversion scheme by combining the network delay data of the medical testing equipment's heterogeneous communication environment and the medical testing equipment's heterogeneous communication transmission limit data obtained through analysis, and selects a suitable communication protocol conversion technology, such as a protocol agent, middleware or gateway, according to the designed cross-domain dynamic protocol conversion scheme, to adapt and configure the communication interface of the medical testing equipment and the data storage interface of the storage server to support cross-domain dynamic protocol conversion and ensure the adaptability of the communication protocol between the medical testing equipment and the storage server, and finally obtains a cross-domain network dynamic communication protocol for medical testing equipment.

[0085] The present invention firstly detects the network delay of the heterogeneous communication access control environment between the target interface of the medical test equipment and the storage server, so as to understand the delay of data transmission in the heterogeneous communication environment, which helps to evaluate the efficiency and stability of heterogeneous communication, thereby ensuring the normal operation of the medical test equipment and the stability of data transmission, and provides a reference indicator of data transmission performance for subsequent processing steps. Secondly, by performing communication bandwidth detection on the heterogeneous communication access control environment between the target interface of the medical test equipment and the storage server to detect the bandwidth data in the heterogeneous communication environment, the rate and capacity of data transmission can be understood, which helps to evaluate the communication capacity and bandwidth limitation of the heterogeneous communication environment, and understand the actual communication capacity of the heterogeneous communication environment, thereby providing data support for the subsequent transmission bandwidth load analysis, so as to optimize the data transmission efficiency of the medical test equipment and ensure that the data can be transmitted to the storage server in a timely and accurate manner. Then, by analyzing the transmission bandwidth load of the foreign communication access control environment between the target interface of the medical testing equipment and the storage server according to the network bandwidth data of the foreign communication environment of the medical testing equipment, the load of the data transmission between the medical testing equipment and the storage server can be understood, thereby providing data support for the subsequent transmission limit evaluation, which helps to optimize the data transmission strategy and ensure the stability and efficiency of the data transmission of the medical testing equipment in the foreign environment. Next, by performing a transmission limit evaluation and analysis on the transmission bandwidth load data of the foreign communication environment of the medical testing equipment, the transmission limit of the medical testing equipment in the foreign communication environment is evaluated. This step can understand the data transmission capability of the medical testing equipment in the foreign environment by evaluating the transmission limit, thereby providing a basis for cross-domain dynamic protocol conversion processing, which helps to ensure that the medical testing equipment can transmit data stably and efficiently in the foreign environment. Finally, by performing cross-domain dynamic protocol conversion processing on the heterogeneous compatibility adaptation interface of medical testing equipment and the heterogeneous compatibility adaptation storage server of medical data based on the network delay data and transmission limit data of the heterogeneous communication environment of medical testing equipment, the communication protocol can be dynamically adjusted according to the characteristics of the heterogeneous communication environment, and it can be ensured that the medical testing equipment can effectively communicate with the storage server in different heterogeneous environments. This step can ensure the adaptability of the communication protocol between the medical testing equipment and the storage server by performing dynamic protocol conversion processing based on network delay data and transmission limit data, thereby ensuring smooth and stable data transmission. This will also help improve the compatibility and reliability of medical testing equipment in heterogeneous environments, and provide protection for the secure transmission of medical testing data.

[0086] Preferably, step S2 comprises the following steps:

[0087] Step S21: performing histogram filtering on the medical test data set to obtain a medical test histogram filtered data set;

[0088] The embodiment of the present invention uses a histogram analysis method to draw a histogram of a medical test data set to draw a corresponding medical test data histogram to observe the distribution of its data, and identifies and filters out abnormal values ​​or unreasonable data points according to the shape and characteristics of the histogram, and retains data that conforms to the normal distribution law, and finally obtains a medical test histogram filtered abnormal data set.

[0089] Step S22: performing data denoising processing on the medical test histogram filtered data set to obtain a medical test denoised data set;

[0090] The embodiment of the present invention performs denoising on a medical test histogram filtered data set by using a suitable denoising algorithm (such as median filtering, Gaussian filtering or mean filtering) to remove the noise and interference in the data set and eliminate the influence of the noise, and finally obtain a medical test denoised data set.

[0091] Step S23: performing hash calculation on the medical test denoised data set to obtain a hash value of each medical test data instance;

[0092] The embodiment of the present invention calculates each data instance in a medical test denoising data set by using a suitable hash function (such as MD5, SHA-1 or SHA-256) to map the data instance into a hash value of a fixed length, and ensures the uniqueness and dispersion of the hash value, and finally obtains the hash value of each medical test data instance.

[0093] Step S24: performing hash duplication redundancy detection on the medical test denoising data set based on the hash value of each medical test data instance to obtain a medical test data hash duplication redundancy instance;

[0094] The embodiment of the present invention performs duplicate redundancy detection on the corresponding medical test data instances in the medical test denoising data set by combining the hash values ​​of each medical test data instance obtained by analysis, so as to identify data instances with the same hash value and confirm them as duplicate redundant instances, and finally obtain medical test data hash duplicate redundant instances.

[0095] Step S25: performing index metadata labeling processing on the medical test data hash duplicate redundant instances to obtain index metadata labels of the medical test data duplicate instances.

[0096] The embodiment of the present invention performs data analysis on the identified hash duplicate redundant instances of medical test data to analyze the characteristics and attributes of the corresponding data instances, and adds corresponding metadata tags to each hash duplicate redundant instance of medical test data based on the characteristics and attributes obtained by the analysis, including but not limited to timestamp, data source, related information, etc., to finally obtain the medical test data duplicate instance index metadata tag.

[0097] The present invention firstly performs histogram filtering on a medical test data set, and can effectively identify and filter out abnormal values ​​in the data, thereby obtaining a more accurate and reliable medical test histogram filtering data set, which helps to improve the quality and availability of the medical test data, and provides a reliable basis for subsequent data processing and analysis. Secondly, by performing data denoising on the medical test histogram filtering data set, the medical test data set can be further cleaned to improve the accuracy and credibility of the medical test data. By removing noise and interference in the data, a cleaner and more reliable medical test denoising data set can be obtained, thereby providing a more reliable basis for subsequent data analysis and mining, which helps to reduce errors and deviations in the data processing process, and improves the accuracy and reliability of data analysis. Then, by performing hash calculation on the medical test denoising data set, the hash value of each data instance in the medical test denoising data set is calculated, so that a unique identifier can be generated for each data instance, so as to facilitate subsequent repeated redundancy detection and index processing, which helps to ensure the uniqueness and identifiability of the data, thereby providing convenience for data management and analysis. Next, the medical test denoising data set is subjected to hash duplication and redundancy detection based on the hash values ​​of each medical test data instance to identify and process duplicate and redundant data instances in the medical test data set. This step can effectively identify duplicate data instances by comparing and analyzing the hash values ​​in the data set, thereby reducing the redundancy of data storage and management, and improving data utilization and efficiency. This helps to optimize the data management process, reduce resource waste and data redundancy, and improve data processing efficiency and quality. Finally, by performing index metadata annotation processing on the hash duplication and redundant instances of medical test data, detailed descriptions and labels can be added to each duplicate instance for subsequent data retrieval and management, which helps to improve the searchability and discoverability of the data, thereby facilitating the management and utilization of medical test data.

[0098] Preferably, step S3 comprises the following steps:

[0099] Step S31: performing repeated instance grouping processing on the medical test data hash repeated redundant instances to obtain medical test data hash repeated instance sets of each group;

[0100] The embodiment of the present invention groups the hash duplicate redundant instances of medical test data obtained by analysis by using an appropriate grouping algorithm (for example, a clustering algorithm based on similarity or features) to group similar instances into the same group and ensure that the instances in each group have similar features or attributes, ultimately obtaining a set of hash duplicate instances of medical test data for each group.

[0101] Step S32: performing repeated implicit link merging on the medical test data hash repeated instance sets of each group based on the medical test data repeated instance index metadata tag to obtain a medical test repeated implicit link merged data set;

[0102] The embodiment of the present invention matches the labels of the corresponding duplicate medical test data instances in the set of medical test data hash duplicate instances of each group according to the specific content, characteristic value or other metadata of the index metadata label of the duplicate medical test data instance, so as to associate each duplicate instance with its corresponding index metadata label, and removes the corresponding duplicate instances in each group by using a data deduplication algorithm, so as to remove the duplicate instances from the set of medical test data hash duplicate instances of each group and retain the unique medical test data instance, and at the same time, screen out the index metadata labels of the corresponding medical test data hash duplicate instances in each group, so as to extract the index metadata label of the unique instance from the medical test data in each group, and at the same time, remove the remaining labels. The signature is determined as the index metadata label of the remaining duplicate instances of the medical test data, and the unique instance index metadata label obtained by screening and the remaining duplicate instance index metadata labels are linked to associate the remaining data duplicate instance index labels with the unique instance index labels in each group to obtain their corresponding implicit link label headers. Secondly, the unique instances of the medical test data of each group obtained by analysis and the implicit link label headers of the medical test data instance index are linked and combined together to ensure that the combined data structure can accurately represent the relationship between the unique instance and the duplicate instance. Then, the implicit link components of the medical test duplicate index of each group are merged and integrated into a complete data set, and finally a medical test duplicate implicit link merged data set is obtained.

[0103] Step S33: performing data content analysis on the medical test repeated implicit link merged data set to obtain a medical test content data set; performing content attribute mining analysis on the medical test content data set to obtain medical test content attribute data;

[0104] The embodiment of the present invention uses natural language processing technology to analyze the content of the corresponding medical test data in the merged medical test repeated implicit link merged data set to deeply understand the content and characteristics of the medical test data, thereby obtaining a medical test content data set. Then, the obtained medical test content data set is mined and analyzed by using a data content attribute mining method to discover the correlation and regularity between the attributes in the medical test content data, and finally obtain medical test content attribute data.

[0105] Step S34: performing inspection business demand analysis on the medical inspection repeated implicit link merged data set to obtain medical inspection business demand data;

[0106] The embodiment of the present invention uses a demand analysis method to analyze the business demand situation of the corresponding medical test data in the medical test repeated implicit link merged data set, so as to understand the specific business needs and application scenarios of the medical test data, and can deeply understand the needs and challenges in the field of medical testing, and finally obtain medical test business demand data.

[0107] Step S35: Based on the medical test content attribute data and the medical test business demand data, the medical test repeated implicit link merged data set is archived and classified in dimension design to obtain a medical test data archiving and classification dimension data set.

[0108] The embodiment of the present invention designs classification dimensions for the corresponding medical test duplicate merged data in the medical test duplicate implicit link merged data set by combining the medical test content attribute data obtained through analysis and the medical test business demand data, so as to establish a complete data archiving classification system, and classify and manage the medical test duplicate merged data according to different dimensions, including classification dimensions such as by patient, by test item, by time, by hospital information, etc., and finally obtains a medical test data archiving classification dimension data set.

[0109] The present invention first performs repeated instance grouping processing on the medical test data hash repeated redundant instances to group similar repeated instances together, which can better understand the repeated patterns and structures in the data, thereby providing a clearer basis for subsequent data processing and analysis, which helps to optimize the data management process, reduce data duplication, and improve the efficiency and quality of data processing. Secondly, by repeating implicit linking and merging the medical test data hash repeated instance sets of each group based on the medical test data repeated instance index metadata tag, the repeated instances in the medical test data are implicitly linked and integrated, thereby reducing data redundancy and repeatability. By merging based on the index metadata tag, the repeated instances in the data can be effectively identified and integrated, thereby simplifying the data management and query process, and improving data utilization and availability, which helps to optimize the data storage structure, reduce resource waste and data redundancy, and thus improve the efficiency and reliability of data management. Then, by conducting data content analysis on the medical test repeated implicit link merged data set, we can deeply understand the content and characteristics of medical test data. At the same time, by conducting content attribute mining and analysis on the medical test content data set, we can discover the potential patterns and laws in the data, so as to provide support for the further application and analysis of medical test data, which helps to reveal the inherent structure and correlation of the data and provide more accurate and reliable data support for medical decision-making and research. Next, by conducting inspection business demand analysis on the medical test repeated implicit link merged data set, we can understand the specific business needs and application scenarios of medical test data, and have a deep understanding of the needs and challenges in the field of medical testing, so as to provide guidance for the further processing and utilization of data, which helps to ensure the pertinence and effectiveness of data processing and provide support for the optimization and improvement of medical services. Finally, by designing the archive classification dimension of the medical test repeated implicit link merged data set based on the medical test content attribute data and the medical test business demand data, we can establish a complete data archive classification system, classify and manage the data according to different dimensions to meet the needs of different users and applications, which helps to improve the organizational structure and management efficiency of the data and make the medical test data easier to search, access and use. At the same time, this also provides more comprehensive and reliable data support for medical decision-making and research, and promotes the development of medical informatization and intelligence.

[0110] Preferably, step S32 includes the following steps:

[0111] Step S321: performing instance label matching on the medical test data hash repetition instance set of each group based on the medical test data repetition instance index metadata label to obtain the index metadata label of each medical test data hash repetition instance in each group;

[0112] The embodiment of the present invention matches the labels of the corresponding medical test data duplicate instances in the medical test data hash duplicate instance sets of each group according to the specific content, characteristic values ​​or other metadata of the medical test data duplicate instance index metadata labels, so as to associate each duplicate instance with its corresponding index metadata label, and finally obtain the index metadata label of each medical test data hash duplicate instance in each group.

[0113] Step S322: removing duplicate instances from the hash duplicate instance set of the medical test data of each group, and obtaining a unique instance of the medical test data of each group;

[0114] The embodiment of the present invention uses a data deduplication algorithm to remove corresponding duplicate instances in the set of hash duplicate instances of medical test data of each group, so as to remove duplicate instances from the set of hash duplicate instances of medical test data of each group and retain unique instances of medical test data, thereby finally obtaining unique instances of medical test data of each group.

[0115] Step S323: constructing a label header link for the index metadata label of each repeated hash instance of the medical test data in each group based on the unique instance of the medical test data in each group, so as to obtain an implicit link label header of the medical test data instance index of each group;

[0116] The embodiment of the present invention screens out the corresponding labels of the unique instances of the medical test data in each group from the index metadata labels of the hash duplicate instances of the medical test data corresponding to the unique instances of the medical test data in each group, so as to extract the index metadata labels of the unique instances from the medical test data in each group, and at the same time determine the remaining labels as the index metadata labels of the remaining duplicate instances of the medical test data, and also encapsulate the specific contents corresponding to the screened unique instance index metadata labels and the remaining duplicate instance index metadata labels into index structure blocks to establish the index label structure blocks of the data instances in each group, and secondly, use an association mining algorithm or a similarity analysis method to perform the design of the unique instance index metadata labels and The link relationship between the remaining duplicate instance index metadata labels is evaluated and analyzed to analyze the correlation or similarity between them to determine the implicit link relationship between the duplicate instances of medical test data in each group. Then, the index label structure block of the unique instance of medical test data in each group is determined as the beginning of the index link label header, and the index implicit link relationship obtained by combining the analysis is used to link the index label structure blocks of the remaining duplicate instances of medical test data in each group associated with the unique instance of medical test data, so as to associate the remaining data duplicate instance index labels in each group with the unique instance index labels to obtain their corresponding implicit link label headers, and finally obtain the medical test data instance index implicit link label headers of each group.

[0117] Step S324: index link composition is performed on the unique instance of medical test data of each group and the implicit link tag header of the medical test data instance index to obtain the implicit link composition instance of the medical test repeated index of each group;

[0118] The embodiment of the present invention combines the unique instances of medical test data of each group obtained by analysis and the implicit link tag header links of the medical test data instance index to ensure that the combined data structure can accurately represent the relationship between the unique instance and the repeated instance, and finally obtains the implicit link composition instance of the medical test repeated index of each group.

[0119] Step S325: performing data merging on the medical test duplicate index implicit link component instances of each group to obtain a medical test duplicate implicit link merged data set.

[0120] The embodiment of the present invention merges and integrates the implicit link component instances of the medical test duplicate indexes of each group into a complete data set, and finally obtains the medical test duplicate implicit link merged data set.

[0121] The present invention first matches the instance labels of the medical test data hash duplicate instance sets of each group based on the medical test data duplicate instance index metadata labels, and can associate each duplicate instance with its corresponding index metadata label, so as to better understand and manage the data, which helps to ensure the accuracy and availability of the data, thereby providing a reliable basis for subsequent data processing and analysis. Secondly, duplicate instances are eliminated from the medical test data hash duplicate instance sets of each group, so as to eliminate duplicate instances from the medical test data hash duplicate instance sets of each group, thereby obtaining a unique instance. By eliminating duplicate instances, the data set can be simplified, data redundancy can be reduced, and the efficiency of data management and analysis can be improved, which helps to optimize the data storage structure, reduce resource waste, and thus improve the efficiency and quality of subsequent data processing. Then, by constructing a label header link for the index metadata label of each medical test data hash duplicate instance in each group based on the unique instance of the medical test data in each group, an implicit link label header of the medical test data instance index in each group is established. This step can associate each unique instance with its corresponding index metadata label by constructing a label header link, thereby forming an implicit link structure for subsequent data indexing and querying, which helps to improve the organizational structure and management efficiency of the data and makes the data easier to access and use. Next, by index linking the unique instance of the medical test data in each group and the implicit link label header of the medical test data instance index, the unique instance of the medical test data in each group is linked to the implicit link label header of the medical test data instance index, so that a complete index structure can be established to facilitate data retrieval and query, which helps to improve the searchability and discoverability of the data, thereby providing more comprehensive and reliable data support for the subsequent medical test data archiving process. Finally, by merging the data of the implicit link components of the medical test duplicate indexes in each group, a medical test duplicate implicit link merged data set is obtained. This step can integrate the data within each group, reduce redundancy and duplication, and improve the overall utilization and efficiency of the data by merging the data. This helps to optimize the data management process, reduce resource waste, and thus improve the efficiency and quality of subsequent data processing.

[0122] Preferably, step S323 includes the following steps:

[0123] Based on the unique instance of the medical test data in each group, the index metadata label of each hashed duplicate instance of the medical test data in each group is subjected to instance label screening processing to obtain the index metadata label of the unique instance of the medical test data in each group and the index metadata labels of the remaining duplicate instances of the medical test data in each group;

[0124] The embodiment of the present invention screens out the corresponding labels of the unique instances of the medical test data in each group from the index metadata labels of the hash repeated instances of the medical test data corresponding to the unique instances of the medical test data in each group, so as to extract the index metadata labels of the unique instances from the medical test data in each group, and at the same time determine the remaining labels as the index metadata labels of the remaining repeated instances of the medical test data, finally obtaining the index metadata labels of the unique instances of the medical test data in each group and the index metadata labels of the remaining repeated instances of the medical test data in each group.

[0125] Preferably, the label structure design is performed on the index metadata label of the unique instance of the medical test data in each group and the index metadata label of the remaining repeated instances of the medical test data in each group, so as to obtain the index label structure block of the unique instance of the medical test data in each group and the index label structure block of the remaining repeated instances of the medical test data in each group;

[0126] The embodiment of the present invention encapsulates the specific contents corresponding to the index metadata tags of the unique instance of medical test data in each group and the index metadata tags of the remaining repeated instances of medical test data in each group into index structure blocks to establish the index label structure blocks of the data instances in each group, and finally obtains the index label structure blocks of the unique instance of medical test data in each group and the index label structure blocks of the remaining repeated instances of medical test data in each group.

[0127] Preferably, an implicit link evaluation analysis is performed on the index tag structure block of the unique instance of the medical test data in each group and the index tag structure blocks of the remaining repeated instances of the medical test data in each group to obtain the index implicit link relationship between the repeated instances of the medical test data in each group;

[0128] The embodiment of the present invention uses an association mining algorithm or a similarity analysis method to evaluate and analyze the link relationship between the index label structure blocks of the unique instance of medical test data in each group and the index label structure blocks of the remaining repeated instances of medical test data in each group, so as to analyze the correlation or similarity between them to determine the implicit link relationship between the repeated instances of medical test data in each group, and finally obtain the index implicit link relationship between the repeated instances of medical test data in each group.

[0129] Preferably, based on the index implicit link relationship between the repeated instances of medical test data in each group, the index label structure blocks of the unique instance of medical test data in each group and the index label structure blocks of the remaining repeated instances of medical test data in each group are linked to construct label headers to obtain the medical test data instance index implicit link label headers of each group.

[0130] The embodiment of the present invention first determines the index label structure block of the unique instance of medical test data in each group as the beginning of the index link label header, and then links the index label structure blocks of the remaining repeated instances of medical test data in each group associated with the unique instance of medical test data by combining and analyzing the index implicit link relationship between the repeated instances of medical test data in each group, so as to associate the index labels of the remaining repeated instances of data in each group with the unique instance index label to obtain their corresponding implicit link label headers, and finally obtain the medical test data instance index implicit link label headers of each group.

[0131] The present invention firstly performs instance label screening processing on the index metadata labels of each hashed duplicate instance of medical test data in each group based on the unique instance of medical test data in each group, so as to extract the index metadata labels of the unique instance from the medical test data in each group, and simultaneously obtain the index metadata labels of the remaining duplicate instances of medical test data. Such screening processing helps to clearly identify the unique instance index labels and the remaining instance index labels in each group, thereby providing a more accurate and reliable basis for subsequent data processing and analysis. Secondly, by designing the label structure of the index metadata labels of the unique instance of medical test data in each group and the index metadata labels of the remaining duplicate instances of medical test data in each group, it is possible to establish the index label structure block of the data instance in each group, so as to better understand and manage the data. This design helps to organize and classify the data, thereby providing a clearer and more effective data connection structure for subsequent data analysis and application. Then, by performing implicit link evaluation analysis on the index label structure blocks of the unique instance of medical test data in each group and the index label structure blocks of the remaining duplicate instances of medical test data in each group, the implicit link relationship between the duplicate instances of medical test data in each group can be understood, so as to better understand the association and interaction between the data, which helps to reveal the hidden information and potential patterns between the data and provide deeper insights for data mining and analysis. Finally, by performing label head link construction on the index label structure blocks of the unique instance of medical test data in each group and the index label structure blocks of the remaining duplicate instances of medical test data in each group based on the index implicit link relationship between the duplicate instances of medical test data in each group, the index labels of the data instances in each group can be associated and connected to obtain their corresponding implicit link label heads, thereby forming a more complete and coherent data structure, which helps to improve the organization and comprehensibility of the data, thereby providing a more reliable and effective basis for subsequent data processing and analysis.

[0132] Preferably, step S4 comprises the following steps:

[0133] Step S41: performing classification dimension association evaluation analysis on the medical test data archiving classification dimension data set to obtain the archiving association relationship between each medical test data archiving classification dimension;

[0134] The embodiment of the present invention uses an association evaluation and analysis method to evaluate and analyze the medical test data archiving classification dimension data set (including dimensions such as by patient, by test item, by time, by hospital information, etc.) to deeply understand the association relationship between each medical test data archiving classification dimension, and discover the mutual influence and correlation degree of archiving between different classification dimensions, and finally obtain the archiving association relationship between each medical test data archiving classification dimension.

[0135] Step S42: dividing the medical test data archiving classification dimension data set into classification dimension levels based on the archiving association relationship between each medical test data archiving classification dimension to obtain a medical test data archiving classification dimension level;

[0136] The embodiment of the present invention determines the principle of hierarchical division by combining the archiving association relationship between each medical test data archiving classification dimension obtained through analysis, for example, division is performed according to the direct association relationship between the data or a more complex association pattern, and the corresponding archiving classification dimensions in the medical test data archiving classification dimension data set are hierarchically divided by using the determined hierarchical division principle, so as to classify the archiving classification dimensions with higher correlation into the same level, and finally obtain the medical test data archiving classification dimension hierarchy.

[0137] Step S43: Designing an archiving control strategy for the medical test data repeated implicit link merged data set according to the medical test data archiving classification dimension level to obtain a medical test data archiving classification control strategy;

[0138] The embodiment of the present invention designs a strategy for the corresponding medical test data set with repeated implicit links and merged data according to the medical test data archiving classification dimension level obtained by division, so as to fully consider factors such as the frequency and importance of data archiving and the limitation of storage resources, formulate data archiving rules and management strategies for different classification dimensions, and determine the archiving rules and archiving conditions for each level, and finally obtain the medical test data archiving classification control strategy.

[0139] Step S44: archiving and storing the medical test data set with repeated implicit links according to the medical test data archiving classification control strategy to obtain the medical test data archiving and storage result.

[0140] The embodiment of the present invention archives and stores the medical test data that meets the conditions in the corresponding medical test repeated implicit link merged data set according to the designed medical test data archiving classification control strategy, so as to effectively manage and store the medical test data, and record the metadata information of the archived storage, including the archiving time, archiving conditions, archiving location, etc. At the same time, the archived storage data is backed up and managed to ensure the security and reliability of the medical test data, and finally the medical test data archiving storage result is obtained.

[0141] The present invention firstly performs classification dimension association evaluation and analysis on the medical test data archiving classification dimension data set, which can deeply understand the association relationship between each medical test data archiving classification dimension. Through this analysis, the mutual influence and association degree between different classification dimensions can be found, which is helpful to identify the potential patterns and laws in the data set. This evaluation and analysis process can provide an important reference basis for subsequent data processing and management, and help to optimize data storage and utilization. Secondly, by dividing the classification dimension hierarchy of the medical test data archiving classification dimension data set based on the archiving association relationship between each medical test data archiving classification dimension, the different classification dimensions in the data set can be organized and managed, thereby forming a corresponding hierarchical structure. Such division helps to better understand and process data, thereby providing a clearer and more effective framework for data archiving and storage. Then, by designing the archiving control strategy for the medical test repeated implicit link merged data set according to the medical test data archiving classification dimension hierarchy, the archiving control strategy can be designed, so that data archiving rules and management strategies for different classification dimensions can be formulated to ensure the reasonable archiving and storage of data. Such strategy design helps to improve the management efficiency and quality of data and ensure the reliability and consistency of data. Finally, by archiving and storing the medical test repeated implicitly linked merged data sets according to the designed medical test data archiving classification control strategy, the data can be stored and processed according to the set archiving control strategy. This can effectively manage and store medical test data and ensure the security and accessibility of the data. Such archiving storage results can provide a reliable data foundation for subsequent data query and application, and help improve the convenience and accuracy of the medical test data retrieval process.

[0142] Preferably, the present invention further provides a medical test data archiving system for executing the medical test data archiving method as described above, the medical test data archiving system comprising:

[0143] The medical inspection equipment data transmission and collection module is used to obtain the target interface of the medical inspection equipment, and to construct a same-domain and heterogeneous transmission channel for the target interface of the medical inspection equipment and a preset medical data cloud storage server, so as to obtain a comprehensive network transmission connection channel for the medical inspection equipment; to transmit and collect medical data on the target interface of the medical inspection equipment through the comprehensive network transmission connection channel for the medical inspection equipment, so as to obtain a medical inspection data set;

[0144] The medical duplicate data index label annotation module is used to perform hash duplication and redundancy detection on the medical test data set to obtain the medical test data hash duplication and redundancy instance; perform index metadata annotation processing on the medical test data hash duplication and redundancy instance to obtain the medical test data duplication instance index metadata label;

[0145] The medical test data archiving classification dimension design module is used to perform repeated implicit link merging on the medical test data hash repeated redundant instances based on the medical test data repeated instance index metadata label to obtain the medical test repeated implicit link merged data set; perform archiving classification dimension design on the medical test repeated implicit link merged data set to obtain the medical test data archiving classification dimension data set;

[0146] The medical test data archiving control module is used to perform data archiving control processing on the medical test repeated implicit link merged data set according to the medical test data archiving classification dimension data set, so as to obtain the medical test data archiving storage result.

[0147] In summary, the present invention provides a medical test data archiving system, which consists of a medical test equipment data transmission and acquisition module, a medical duplicate data index label marking module, a medical test data archiving classification dimension design module and a medical test data archiving control module. It can implement any medical test data archiving method described in the present invention, and is used to combine the operations between computer programs running on each module to implement any medical test data archiving method. The internal structures of the system cooperate with each other, which can greatly reduce repetitive work and manpower investment, and can quickly and effectively provide a more accurate and efficient medical test data archiving process, thereby simplifying the operating procedures of the medical test data archiving system.

[0148] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for archiving medical test data, characterized in that: The following steps are involved: Step S1: obtaining a target interface of a medical testing device, and constructing a same-domain and a different-domain transmission channel for the target interface of the medical testing device and a preset medical data cloud storage server to obtain a comprehensive network transmission connection channel for the medical testing device; Transmitting and collecting medical data to a target interface of a medical inspection device through a comprehensive network transmission connection channel of the medical inspection device to obtain a medical inspection data set; Step S2: performing hash duplication redundancy detection on the medical test data set to obtain a hash duplication redundancy instance of the medical test data; Performing index metadata labeling processing on the repeated redundant instances of hash of medical test data to obtain index metadata labels of repeated instances of medical test data; wherein step S2 includes the following steps: Step S21: performing histogram filtering on the medical test data set to obtain a medical test histogram filtered data set; Step S22: performing data denoising processing on the medical test histogram filtered data set to obtain a medical test denoised data set; Step S23: performing hash calculation on the medical test denoised data set to obtain a hash value of each medical test data instance; Step S24: performing hash duplication redundancy detection on the medical test denoising data set based on the hash value of each medical test data instance to obtain a medical test data hash duplication redundancy instance; Step S25: performing index metadata labeling processing on the medical test data hash duplicate redundant instances to obtain index metadata labels of the medical test data duplicate instances; Step S3: performing repeated implicit link merging on the hash repeated redundant instances of the medical test data based on the medical test data repeated instance index metadata tag to obtain a medical test repeated implicit link merged data set; performing archiving classification dimension design on the medical test repeated implicit link merged data set to obtain a medical test data archiving classification dimension data set; wherein step S3 includes the following steps: Step S31: performing repeated instance grouping processing on the medical test data hash repeated redundant instances to obtain medical test data hash repeated instance sets of each group; Step S32: performing repeated implicit link merging on the medical test data hash repeated instance sets of each group based on the medical test data repeated instance index metadata tag to obtain a medical test repeated implicit link merged data set; wherein step S32 includes the following steps: Step S321: performing instance label matching on the medical test data hash repetition instance set of each group based on the medical test data repetition instance index metadata label to obtain the index metadata label of each medical test data hash repetition instance in each group; Step S322: removing duplicate instances from the hash duplicate instance set of each group of medical test data to obtain a unique instance of each group of medical test data; Step S323: constructing a tag header link for the index metadata tag of each repeated medical test data hash instance in each group based on the unique medical test data instance of each group, so as to obtain an implicit link tag header of the medical test data instance index of each group; wherein step S323 includes the following steps: Based on the unique instance of the medical test data in each group, the index metadata label of each hashed duplicate instance of the medical test data in each group is subjected to instance label screening processing to obtain the index metadata label of the unique instance of the medical test data in each group and the index metadata labels of the remaining duplicate instances of the medical test data in each group; Designing the label structure of the index metadata label of the unique instance of the medical test data in each group and the index metadata label of the remaining repeated instances of the medical test data in each group, so as to obtain the index label structure block of the unique instance of the medical test data in each group and the index label structure block of the remaining repeated instances of the medical test data in each group; Performing implicit link evaluation analysis on the index label structure blocks of the unique instance of the medical test data in each group and the index label structure blocks of the remaining repeated instances of the medical test data in each group, and obtaining the index implicit link relationship between the repeated instances of the medical test data in each group; Based on the index implicit link relationship between the repeated instances of medical test data in each group, the index label structure block of the unique instance of medical test data in each group and the index label structure blocks of the remaining repeated instances of medical test data in each group are constructed with label header links to obtain the medical test data instance index implicit link label header of each group; Step S324: index link composition is performed on the unique instance of medical test data of each group and the implicit link tag header of the medical test data instance index to obtain the implicit link composition instance of the medical test repeated index of each group; Step S325: performing data merging on the medical test duplicate index implicit link component instances of each group to obtain a medical test duplicate implicit link merged data set; Step S33: performing data content analysis on the medical test repeated implicit link merged data set to obtain a medical test content data set; performing content attribute mining analysis on the medical test content data set to obtain medical test content attribute data; Step S34: performing inspection business demand analysis on the medical inspection repeated implicit link merged data set to obtain medical inspection business demand data; Step S35: Designing the archive classification dimension of the medical test repeated implicit link merged data set based on the medical test content attribute data and the medical test business demand data to obtain a medical test data archive classification dimension data set; Step S4: performing data archiving control processing on the medical test data set with repeated implicit links and merged according to the medical test data archiving classification dimension data set to obtain the medical test data archiving storage result.

2. The method for archiving medical test data according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: Acquire the target interface of the medical testing equipment; Step S12: performing network environment identification and analysis on the medical testing device target interface and the preset medical data cloud storage server to obtain the same-domain network environment and the different-domain network environment between the medical testing device target interface and the storage server; Step S13: constructing a same-domain transmission channel for the medical testing device target interface and the preset medical data cloud storage server based on the same-domain network environment between the medical testing device target interface and the storage server to obtain a same-domain network transmission connection channel for the medical testing device; Step S14: constructing a foreign transmission channel for the medical testing device target interface and the preset medical data cloud storage server based on the foreign network environment between the medical testing device target interface and the storage server to obtain a foreign network transmission connection channel for the medical testing device; Step S15: merging the same-domain network transmission connection channel of the medical testing equipment and the different-domain network transmission connection channel of the medical testing equipment to obtain a comprehensive network transmission connection channel of the medical testing equipment; Step S16: Transmit and collect medical data to the target interface of the medical testing equipment through the integrated network transmission connection channel of the medical testing equipment to obtain a medical testing data set.

3. The method for archiving medical test data according to claim 2, characterized in that: Step S14 includes the following steps: Step S141: performing data compatibility adaptation processing on the medical testing equipment target interface and the preset medical data cloud storage server to obtain the medical testing equipment foreign domain compatible adaptation interface and the medical data foreign domain compatible adaptation storage server; Step S142: performing a foreign domain communication access control on the foreign domain network environment between the target interface of the medical testing device and the storage server, and obtaining a foreign domain communication access control environment between the target interface of the medical testing device and the storage server; Step S143: performing cross-domain dynamic protocol conversion processing on the medical inspection equipment cross-domain compatible adapter interface and the medical data cross-domain compatible adapter storage server based on the cross-domain communication access control environment between the medical inspection equipment target interface and the storage server to obtain a cross-domain network dynamic communication protocol for the medical inspection equipment; Step S144: construct a cross-domain transmission channel for the medical testing equipment heterogeneous compatible adapter interface and the medical data heterogeneous compatible adapter storage server according to the cross-domain network dynamic communication protocol of the medical testing equipment to obtain the medical testing equipment heterogeneous network transmission connection channel.

4. The method for archiving medical test data according to claim 3, characterized in that: Step S143 includes the following steps: Performing network delay detection on the heterogeneous communication access control environment between the target interface of the medical inspection equipment and the storage server to obtain network delay data of the heterogeneous communication environment of the medical inspection equipment; Perform communication bandwidth detection on the heterogeneous communication access control environment between the target interface of the medical inspection equipment and the storage server to obtain network bandwidth data of the heterogeneous communication environment of the medical inspection equipment; Performing a transmission bandwidth load analysis on the heterogeneous communication access control environment between the target interface of the medical inspection equipment and the storage server according to the network bandwidth data of the heterogeneous communication environment of the medical inspection equipment, and obtaining the transmission bandwidth load data of the heterogeneous communication environment of the medical inspection equipment; Conduct transmission limit evaluation and analysis on the transmission bandwidth load data of the medical testing equipment in the foreign communication environment, and obtain the transmission limit data of the medical testing equipment in the foreign communication environment; Based on the network delay data of the medical testing equipment's heterogeneous communication environment and the medical testing equipment's heterogeneous communication transmission limit data, cross-domain dynamic protocol conversion is performed on the medical testing equipment's heterogeneous compatible adaptation interface and the medical data heterogeneous compatible adaptation storage server to obtain the medical testing equipment's cross-domain network dynamic communication protocol.

5. The method for archiving medical test data according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: performing classification dimension association evaluation analysis on the medical test data archiving classification dimension data set to obtain the archiving association relationship between each medical test data archiving classification dimension; Step S42: dividing the medical test data archiving classification dimension data set into classification dimension levels based on the archiving association relationship between each medical test data archiving classification dimension to obtain a medical test data archiving classification dimension level; Step S43: Designing an archiving control strategy for the medical test data repeated implicit link merged data set according to the medical test data archiving classification dimension level to obtain a medical test data archiving classification control strategy; Step S44: archiving and storing the medical test data set with repeated implicit links according to the medical test data archiving classification control strategy to obtain the medical test data archiving and storage result.

6. A medical test data archiving system, characterized in that: Used to execute the medical test data archiving method as claimed in claim 1, the medical test data archiving system comprises: The medical inspection equipment data transmission and collection module is used to obtain the target interface of the medical inspection equipment, and to construct a same-domain and heterogeneous transmission channel for the target interface of the medical inspection equipment and a preset medical data cloud storage server, so as to obtain a comprehensive network transmission connection channel for the medical inspection equipment; to transmit and collect medical data on the target interface of the medical inspection equipment through the comprehensive network transmission connection channel for the medical inspection equipment, so as to obtain a medical inspection data set; The medical duplicate data index label annotation module is used to perform histogram filtering on the medical test data set to obtain a medical test histogram filtered data set; perform data denoising on the medical test histogram filtered data set to obtain a medical test denoised data set; perform hash calculation on the medical test denoised data set to obtain a hash value of each medical test data instance; perform hash duplicate redundancy detection on the medical test denoised data set based on the hash value of each medical test data instance to obtain a medical test data hash duplicate redundant instance; perform index metadata annotation on the medical test data hash duplicate redundant instance to obtain a medical test data duplicate instance index metadata label; The medical test data archiving classification dimension design module is used to perform duplicate instance grouping processing on the medical test data hash duplicate redundant instances to obtain the medical test data hash duplicate instance set of each group; perform instance label matching on the medical test data hash duplicate instance set of each group based on the medical test data duplicate instance index metadata label to obtain the index metadata label of each medical test data hash duplicate instance in each group; perform duplicate instance elimination on the medical test data hash duplicate instance set of each group to obtain the unique instance of medical test data in each group; perform match matching on each medical test data hash duplicate instance in each group based on the unique instance of medical test data in each group. The index metadata tags are subjected to instance tag screening processing to obtain the index metadata tags of the unique instance of the medical test data in each group and the index metadata tags of the remaining repeated instances of the medical test data in each group; the label structure design is performed on the index metadata tags of the unique instance of the medical test data in each group and the index metadata tags of the remaining repeated instances of the medical test data in each group to obtain the index label structure block of the unique instance of the medical test data in each group and the index label structure block of the remaining repeated instances of the medical test data in each group; the index label structure block of the unique instance of the medical test data in each group and the index label structure block of the remaining repeated instances of the medical test data in each group are designed. The index label structure block is evaluated and analyzed for implicit links to obtain the index implicit link relationship between the repeated instances of medical test data in each group; based on the index implicit link relationship between the repeated instances of medical test data in each group, the index label structure block of the unique instance of medical test data in each group and the index label structure blocks of the remaining repeated instances of medical test data in each group are constructed with label header links to obtain the medical test data instance index implicit link label header of each group; the unique instance of medical test data in each group and the medical test data instance index implicit link label header are indexed and composed to obtain the medical test duplicate index implicit link composition instance of each group. ; Perform data merging on the medical test repeated index implicit link component instances of each group to obtain a medical test repeated implicit link merged data set; perform data content analysis on the medical test repeated implicit link merged data set to obtain a medical test content data set; perform content attribute mining analysis on the medical test content data set to obtain medical test content attribute data; perform inspection business demand analysis on the medical test repeated implicit link merged data set to obtain medical test business demand data; perform archiving classification dimension design on the medical test repeated implicit link merged data set based on the medical test content attribute data and the medical test business demand data to obtain a medical test data archiving classification dimension data set; The medical test data archiving control module is used to perform data archiving control processing on the medical test repeated implicit link merged data set according to the medical test data archiving classification dimension data set, so as to obtain the medical test data archiving storage result.

Images