CN116453670A - Storage system and method for blood sample test data - Google Patents
Storage system and method for blood sample test data Download PDFInfo
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Abstract
The invention relates to the technical field of data processing, in particular to a system and a method for storing blood sample test data. The method comprises the following steps: the method comprises the steps of performing data acquisition and detection processing on a blood sample through a digital technology and automatic detection equipment to obtain initial data of blood sample detection; performing data verification processing on the initial data of the blood sample test by using a verification pretreatment technology to obtain data to be processed of the blood sample test; carrying out standardized treatment on the data to be processed of the blood sample test to obtain blood sample test standard data; performing data noise reduction processing on the blood sample test standard data by using a test noise reduction algorithm to obtain blood sample test data; and compressing the blood sample test data by using a data compression algorithm to obtain blood sample test compressed data. The invention adopts an intelligent technology to carry out blood sample inspection, thereby realizing safe and efficient storage and management of blood sample inspection data.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a system and a method for storing blood sample test data.
Background
In the field of medical health, blood testing is an important technique in clinical medicine, which can provide pathology and biochemical information required by medical researchers, and provide basis for diagnosing diseases, selecting treatment methods, monitoring the progress and effect of treatment, and the like. However, with the development of digital technologies and automation equipment, modern blood specimen testing technologies continuously generate a large amount of test data, and how to store and manage the blood specimen test data efficiently, safely and accurately becomes an important problem faced by the current blood specimen testing technologies. Meanwhile, medical researchers are continuously exploring new methods, and can provide effective support for clinical medical treatment by mining potential association and rules of blood sample test data.
Disclosure of Invention
Accordingly, there is a need for a method for storing blood sample test data that solves at least one of the above-mentioned problems.
To achieve the above object, a method for storing blood specimen test data includes the steps of:
step S1: the method comprises the steps of performing data acquisition and detection processing on a blood sample through a digital technology and automatic detection equipment to obtain initial data of blood sample detection; performing data verification processing on the initial data of the blood sample test by using a verification pretreatment technology to obtain data to be processed of the blood sample test;
Step S2: carrying out standardized treatment on the data to be processed of the blood sample test to obtain blood sample test standard data; performing data noise reduction processing on the blood sample test standard data by using a test noise reduction algorithm to obtain blood sample test data;
step S3: compressing the blood sample test data by using a data compression algorithm to obtain blood sample test compressed data; performing data encryption processing on the blood sample test compressed data by using a rights token encryption technology to obtain blood sample test encrypted data;
step S4: carrying out quantum division processing on the blood sample test encryption data by utilizing a quantum state partitioning algorithm to obtain blood sample test quantum data;
step S5: creating an intelligent sample tube based on the blood sample test quantum data, wherein the intelligent sample tube comprises a storage chip and a storage medium; and storing the blood sample test quantum data into a storage medium of the intelligent sample tube, and backing up the blood sample test quantum data to a cloud server through a storage chip of the intelligent sample tube so as to execute corresponding storage management.
The invention can avoid errors and deviations caused by manual intervention by using a digital technology and automatic inspection equipment to collect and detect data, thereby improving the precision and accuracy of the initial data of blood sample inspection. By utilizing the verification pretreatment technology to carry out data verification treatment on the initial data of blood sample detection, errors and abnormal data in the initial data of blood sample detection can be effectively detected to a certain extent, data errors and deviations caused by human factors and equipment factors are reduced, and the accuracy of data pretreatment is improved. The data to be processed of the blood sample test can be converted into a standard format by carrying out standardized processing on the data to be processed of the blood sample test, and a data base is provided for a subsequent noise reduction processing process. Then, noise and redundant information in the blood sample test standard data can be removed by performing data noise reduction processing on the blood sample test standard data by using a proper test noise reduction algorithm, so that the accuracy and reliability of the blood sample test data are improved. And the data compression algorithm is utilized to compress the blood sample test data, so that the storage space of the blood sample test data can be reduced, and the transmission efficiency of the blood sample test data can be improved. The data encryption processing is carried out on the blood sample test compressed data through the rights token encryption technology, so that the data privacy can be protected, and sensitive data leakage and tampering can be prevented. In addition, the blood sample test encryption data can be divided into a plurality of quantum states by carrying out quantum division processing on the blood sample test encryption data by utilizing a quantum state partitioning algorithm, so that the safety and reliability of the blood sample test encryption data are improved, and the tampering and leakage of the blood sample test encryption data are effectively prevented. Finally, an intelligent sample tube is created based on the blood sample test quantum data, so that the intelligent management and protection of the blood sample test quantum data can be realized. The intelligent sample tube comprises a storage chip and a storage medium, the blood sample test quantum data can be stored and backed up through the intelligent sample tube, and corresponding storage management information and backup management information can be generated through an intelligent management technology to carry out efficient, safe and accurate storage and backup management, so that comprehensive management and protection of the blood sample test quantum data are realized.
Preferably, step S1 comprises the steps of:
step S11: the method comprises the steps of performing data acquisition processing on a blood sample through a digitizing technology to obtain blood sample data;
step S12: detecting and processing the blood sample data by using automatic detecting equipment to obtain initial blood sample detecting data;
step S13: and carrying out data verification processing on the initial data of the blood sample test by using a verification pretreatment technology to obtain data to be processed of the blood sample test.
The invention can convert the blood sample into the digital signal by using the digital technology to facilitate the processing and storage of the computer, and in addition, the manual collection process can be converted into the automatic collection of the machine by the application of the digital technology, so that the interference and errors of human factors are avoided, the digital technology not only improves the efficiency and accuracy of the data collection, but also can directly connect the blood sample data with other medical record systems, thereby realizing the sharing and utilization of information. Then, by utilizing the automatic inspection equipment, the blood sample data can be rapidly and accurately analyzed and detected, the deviation and error of manual operation are avoided, and the obtained blood sample inspection initial data comprises data information of multiple aspects such as blood components, biochemical indexes, immunological detection indexes and the like, so that data support for rapid diagnosis, treatment and monitoring can be provided for medical researchers. Finally, dirty data in the initial data of the blood sample test can be removed by using a verification pretreatment technology, so that the influence of error data on subsequent data processing and analysis is prevented, the accuracy and reliability of the data to be processed of the blood sample test are ensured, and the quality and application value of the data to be processed of the blood sample test are improved.
Preferably, step S2 comprises the steps of:
step S21: carrying out standardized treatment on the data to be processed of the blood sample test to obtain blood sample test standard data;
step S22: performing data cleaning treatment on the blood sample test standard data to obtain data to be subjected to noise reduction in the blood sample test;
step S23: and carrying out data noise reduction treatment on the data to be noise reduced in the blood sample test by using a test noise reduction algorithm to obtain blood sample test data.
According to the invention, the data to be processed in the blood sample test is subjected to standardized treatment, so that the data to be processed in the blood sample test can be normalized according to the differences caused by factors such as different sample sources, different detection methods, different units and the like, the data to be processed in the blood sample test can be more easily compared and analyzed, and the data to be processed in the blood sample test can have the same reference measurement under the environments of different medical institutions, different time points, different medical researches and the like, so that the sharing, multiplexing and statistical analysis of the data to be processed in the blood sample test are facilitated. After normalization, there may still be some erroneous or anomalous data that may affect the subsequent data denoising process, and the removal of these outlier data points by data cleansing is an important step in data processing. In addition, the data cleaning process can ensure the accuracy and the integrity of the data to be noise reduced in the blood sample test, and meanwhile, unnecessary errors generated when the traditional noise reduction algorithm processes error data can be avoided. Finally, the data noise reduction processing is carried out on the processed data to be subjected to the blood sample test by utilizing a proper test noise reduction algorithm, so that the noise source in the data to be subjected to the blood sample test noise reduction is eliminated, and the quality and the reliability of the data to be subjected to the blood sample test noise reduction are improved. Through noise reduction processing, abnormal noise sources and error information in the data to be noise reduced in the blood sample inspection can be effectively filtered, the authenticity and the readability of the data to be noise reduced in the blood sample inspection are increased, and a data foundation is laid for subsequent compression, encryption and storage work.
Preferably, step S23 comprises the steps of:
step S231: performing noise value calculation on the data to be noise reduced for blood sample test by using a test noise reduction algorithm to obtain a blood sample test noise value;
wherein the test noise reduction algorithm function is as follows:
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in the method, in the process of the invention,checking noise value for blood sample,/->Checking noise frequency domain signal length of data to be noise reduced for blood sample,/->Checking the amount of data to be noise reduced for a blood sample, < >>To-be-noise-reduced data for blood sample examination, < > are provided>Checking the spatial coordinate length of the noise frequency domain signal of the data to be noise reduced for the blood sample, < >>Checking the data to be noise reduced for a blood sample +.>Estimated noise value of the individual noise frequency domain signal, +.>To check the kernel function of the noise reduction algorithm, < >>To check the shape of the kernel function of the noise reduction algorithmForm parameters (I)>Checking the data to be noise reduced for a blood sample +.>Frequency domain bandwidth parameters of the individual noise frequency domain signals,to check the integral infinitesimal of the noise reduction algorithm +.>Checking correction values of noise values for the blood sample;
according to the invention, a formula of a function of the test noise reduction algorithm is constructed for calculating the noise value of the data to be subjected to the noise reduction for the blood sample test, and in order to eliminate the influence of a noise source in the data to be subjected to the noise reduction for the blood sample test on the subsequent storage management process of the data to be subjected to the blood sample test, the data to be subjected to the noise reduction is required to be subjected to the noise reduction treatment for obtaining cleaner and more accurate data to be subjected to the blood sample test, and the noise and interference data in the data to be subjected to the noise reduction for the blood sample test can be effectively removed by the test noise reduction algorithm, so that the accuracy and the reliability of the data to be subjected to the noise reduction for the blood sample test are improved. The algorithm function formula fully considers the noise frequency domain signal length of the data to be noise reduced in blood sample test Blood sample examination number of data to be noise reduced +.>Blood specimen test data to be noise reduced +.>Noise frequency domain signal space coordinate length of blood sample test data to be noise reduced +.>The blood sample is checked for +.>Estimated noise value of individual noise frequency domain signal +.>Checking the kernel function of the noise reduction algorithm>Checking the shape parameter of the kernel function of the noise reduction algorithm>Checking the integral infinitesimal of the noise reduction algorithm>The blood sample is checked for +.>Frequency domain bandwidth parameter of the individual noise frequency domain signal +.>And the calculated blood sample test noise value is normalized, and the blood sample test noise value is used for the normalization>The correlation relationship between the parameters forms a functional relationshipThe algorithm function formula realizes the calculation of the noise value of the data to be noise reduced in the blood sample test, and simultaneously, the correction value of the noise value in the blood sample test in the algorithm function formula is ∈>The method can be adjusted according to actual conditions, so that the accuracy and the applicability of the inspection noise reduction algorithm are improved.
Step S232: judging a blood sample test noise value according to a preset blood sample test noise threshold, and removing the data to be noise reduced of the blood sample test corresponding to the blood sample test noise value when the blood sample test noise value is greater than or equal to the preset blood sample test noise threshold to obtain blood sample test data;
Step S233: judging the blood sample test noise value according to a preset blood sample test noise threshold value, and directly defining the data to be noise reduced of the blood sample test corresponding to the blood sample test noise value as the blood sample test data when the blood sample test noise value is smaller than the preset blood sample test noise threshold value.
According to the invention, due to the fact that noise interference, abnormal noise sources and the like possibly exist in the acquired blood sample test data to be noise-reduced, adverse effects can be caused on the accuracy and reliability of the follow-up blood sample test data storage work, so that noise value calculation is carried out on the blood sample test data to be noise-reduced through setting a proper test noise reduction algorithm, noise and interference signals existing in the blood sample test data to be noise-reduced can be identified and measured, noise signals are removed from the source, and the accuracy and reliability of the blood sample test data to be noise-reduced are improved. The noise reduction process is adjusted and optimized by combining the noise reduction checking algorithm kernel function, the shape parameter, the frequency domain bandwidth parameter, the correction value and other parameters of the noise reduction checking algorithm kernel function, so that the optimal noise reduction effect and the optimal calculation result are obtained, and the blood sample noise checking value is calculated more accurately. Then, according to specific data noise reduction processing requirements and quality standards, the calculated blood sample detection noise value is judged by setting a proper blood sample detection noise threshold value, so that the blood sample detection data to be noise reduced with a large blood sample detection noise value can be effectively removed, the influence of the blood sample detection data to be noise reduced with a large blood sample detection noise value on the whole data is avoided, the quality of the data is further improved, unnecessary interference and error are reduced, and the accuracy and reliability of the blood sample detection data to be noise reduced are ensured. Finally, the blood sample test noise value is judged by using a preset blood sample test noise threshold value, the blood sample test data to be noise-reduced with smaller blood sample test noise value is defined as blood sample test data, more accurate and reliable blood sample test data to be noise-reduced can be obtained, the data are less interfered by noise, a more stable data base can be provided for the subsequent compression and encryption process, and therefore the availability and the effectiveness of the blood sample test data are improved.
Preferably, step S3 comprises the steps of:
step S31: creating a blood sample test backup database, and backing up the blood sample test data to the blood sample test backup database by utilizing a data backing-up technology to obtain blood sample test backup data;
step S32: compressing the blood sample test backup data by using a data compression algorithm to obtain blood sample test compressed data;
step S33: and carrying out data encryption processing on the blood sample test compressed data by using a rights token encryption technology to obtain blood sample test encrypted data.
The invention provides a backup space for the blood sample test data by creating the blood sample test backup database, can carry out recovery processing when the blood sample test data is lost or damaged, and completely backs up the blood sample test data to the blood sample test backup database by a data backup technology, thereby ensuring the integrity and the recoverability of the blood sample test data. Then, by setting a proper data compression algorithm to compress the blood sample test backup data, the blood sample test data can be compressed into a smaller storage space, so that the storage space of the blood sample test data is saved. Finally, the data encryption processing is carried out on the blood sample test compressed data by using the rights token encryption technology so as to ensure the safety of the blood sample test compressed data. The rights token encryption technology is used for encrypting and decrypting the blood sample test compressed data based on the token encryption key, so that confidentiality of the blood sample test compressed data can be ensured, and in the practical application process, only a user with the token encryption key can decrypt the blood sample test encrypted data, thereby ensuring safety and privacy of the blood sample test encrypted data.
Preferably, the functional formula of the data compression algorithm in step S32 is specifically:
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in the method, in the process of the invention,data compression algorithm function, ++>Checking the compressed length of the backup data for the blood sample, < >>For compressing the position parameter +.>Checking the backup data for the blood sample in the compressed position +.>Compressed data sample value +.>Checking the backup data for the blood sample in the compressed position +.>Compression tolerance range value at +.>Checking the backup data for the blood sample in the compressed position +.>Noise variance of compressed data window at +.>Is in a compressed positionIntegral infinitesimal of error integral function, +.>Is a discrete Fourier transform function->For the number of discrete fourier transforms, +.>Is->Adjustment coefficient of the secondary discrete fourier transform, +.>Checking the backup data for the blood sample in the compressed position +.>The%>A sub-discrete fourier transform basis function,>is->Adjusting compressed distribution index of the secondary discrete fourier transform, < >>Is->Adjusting compression influence coefficients of the sub-discrete fourier transform, < >>Control index factor for adjusting the compressed distribution index, +.>Control factor for adjusting the compression influence factor, +.>Is an integral infinitesimal of a discrete fourier transform function, < ->Correction values for the data compression algorithm function.
The invention constructs a formula of a data compression algorithm function, which is used for compressing the blood sample test backup data, and the data compression algorithm reduces the storage space occupied by the blood sample test backup data by compressing the original blood sample test backup data so as to reduce the occupation of the data storage space and the transmission bandwidth, thereby ensuring the integrity and the accuracy of the blood sample test backup data. The algorithm function formula fully considers the compression length of the blood sample test backup dataCompression position parameter->Blood specimen test backup data in compressed position +.>Compressed data sample value +.>Blood specimen test backup data in compressed position +.>Compression allowable error range value at +.>Blood specimen test backup data in compressed position +.>Noise variance of compressed data window>Compression ofIntegral infinitesimal of position error integral function>Discrete Fourier transform function->The number of discrete Fourier transforms +.>First->Adjustment coefficient of the secondary discrete Fourier transform->Blood specimen test backup data in compressed position +.>The%>Sub-discrete Fourier transform basis functionFirst- >Adjustment of the sub-discrete Fourier transform compressed distribution index +.>First->Adjusting the compression influence coefficient of the secondary discrete Fourier transform +.>Control index factor for adjusting the compressed distribution index>Control factor for adjusting the compression influence factor +.>Integral infinitesimal of discrete Fourier transform function>Correction value of data compression algorithm function>Wherein the compressed length of the backup data is checked by blood specimen +.>Compression position parameter->Blood specimen test backup data in compressed position +.>Compressed data sample value +.>Blood specimen test backup data in compressed position +.>Compression allowable error range value at +.>Integral infinitesimal of compressed position error integral function>Blood specimen test backup data in compressed position +.>Noise variance of compressed data window>And logarithmic function, and normalizing the compressed length, and forming a compressed position error integral function relationship according to the mutual relationship between the parameters>In addition, the number of times of discrete Fourier transform is +.>First->Adjustment coefficient of the secondary discrete Fourier transform->Blood specimen test backup data in compressed position +.>The%>Sub-discrete Fourier transform basis function- >First->Adjustment of the sub-discrete Fourier transform compressed distribution index +.>First->Adjusting the compression influence coefficient of the secondary discrete Fourier transform +.>Control index factor for adjusting the compressed distribution index>Integral infinitesimal of discrete Fourier transform function>Control factor for adjusting the compression influence factor +.>Compressed length of blood specimen test backup data +.>Discrete Fourier transform function constituting compressed length +.>Relation->According to the data compression algorithm function->Form a functional relationship with the above parameters>The algorithm function formula realizes the compression processing of the blood sample test backup data, and simultaneously, the correction value of the algorithm function is +.>The introduction of the data compression algorithm can be adjusted according to actual conditions, so that the applicability and the stability of the data compression algorithm are improved.
Preferably, step S33 includes the steps of:
step S331: performing data encryption processing on the blood sample test compressed data through a rights token encryption technology, wherein the rights token encryption technology comprises a token generation technology, a symmetric encryption technology, an asymmetric encryption technology and a digital signature technology;
step S332: performing token key generation processing on the blood sample test compressed data by using a token generation technology based on cryptography to generate a blood sample test token encryption key;
Step S333: performing primary encryption processing on the encryption key of the blood sample test token by using a symmetric encryption technology to obtain primary encryption data of the blood sample test;
step S334: performing secondary encryption processing on the primary encryption data of the blood sample test by using an asymmetric encryption technology to obtain the secondary encryption data of the blood sample test;
step S335: and carrying out digital signature protection treatment on the blood sample test secondary encryption data by utilizing a digital signature technology so as to obtain the blood sample test encryption data.
The invention carries out data encryption processing on the blood sample test compressed data by the rights token encryption technology, wherein the rights token encryption technology consists of a token generation technology, a symmetrical encryption technology, an asymmetrical encryption technology and a digital signature technology, and the rights token encryption technology can ensure the safety and the integrity of the blood sample test compressed data in the transmission and storage processes. The encryption key of the blood sample test token is generated by using a token generation technology based on cryptography, is a necessary key for encrypting and decrypting blood sample test compressed data, is generated by using the cryptography technology, ensures the security and the difficulty in cracking of the key, and can be used for subsequent encryption and decryption operations. Then, the blood sample test token encryption key is encrypted at one stage by utilizing a symmetric encryption technology, wherein the symmetric encryption technology is an encryption technology which uses the same key for encryption and decryption, and the blood sample test token encryption key is encrypted, so that the security of the blood sample test token encryption key in the transmission process is ensured. In addition, the primary encryption data of the blood sample test after primary encryption is subjected to secondary encryption by utilizing an asymmetric encryption technology, wherein the asymmetric encryption technology is an encryption technology for encrypting and decrypting by using different keys, and can further improve the security of the encryption key of the blood sample test token. Specifically, the encryption mode of encrypting by using the public key and decrypting by using the private key is utilized, so that the safety and the reliability of the data in the data transmission process are ensured. And finally, performing digital signature protection processing on the blood sample test secondary encryption data by utilizing a digital signature technology to obtain the blood sample test encryption data. The digital signature technology is an encryption technology capable of guaranteeing data integrity and authentication, and the digital signature technology guarantees that the blood sample test secondary encryption data is not tampered in the transmission process by carrying out signature authentication on the blood sample test secondary encryption data. In the digital signature technology, a private key is used for signature, and a public key is used for verification, so that the safety and the reliability of blood sample test encrypted data can be ensured.
Preferably, the functional formula of the quantum state partitioning algorithm in step S4 is specifically:
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in the method, in the process of the invention,examining quantum data for blood samples, < >>The quantum state partition location of the encrypted data is examined for the blood sample,checking the quantum state initial partition position of the encrypted data for the blood sample,/->For the adjustment parameters of the quantum state partition position, +.>Testing the quantum state partition momentum of the encrypted data for blood samples,/->Testing the blood sample for the quantum state initial partition momentum of the encrypted data,/->For the adjustment parameters of the quantum state partition momentum, +.>For quantum state partition position->Momentum +.>Quantum state wave function between +.>To partition position in quantum state>Momentum +.>Quantum state left vector in space, +.>To partition position in quantum state>Momentum +.>Quantum state right vector in space, +.>For quantum state partition position->Integral primordia of>Momentum +.>Integral primordia of>Correction values of the quantum data are checked for blood samples.
The invention constructs a formula of a quantum state partition algorithm function for carrying out quantum division processing on the blood sample test encryption data, and the quantum state partition algorithm can accurately divide and control the blood sample test encryption data, thereby ensuring the blood sample test encryption The accuracy and the integrity of the secret data can flexibly adjust the quantum state dividing process by adjusting parameters, thereby adapting to the quantum state processing requirements of the blood sample test encryption data under different scenes. The algorithm function fully considers the quantum state partition position of the blood sample test encryption dataQuantum state initial partition position of blood sample test encryption data +.>Adjusting parameter of quantum state partition position +.>Quantum state partition momentum of blood sample test encrypted data>Quantum state initial partition momentum of blood sample test encrypted data>Adjusting parameters of quantum state partition momentumQuantum state partition position->Momentum +.>Quantum state wave function between->At the quantum state partition positionMomentum +.>Quantum state left vector in space->In the quantum state partition position->Momentum +.>Quantum state right vector in space>Quantum state partition position->Integral infinitesimal of (2)>Quantum state partition momentum->Integral infinitesimal of (2)>Examination of Quantum data according to blood specimens->The interrelationship between the above parameters constitutes a functional relationship +.>The algorithm function formula realizes the quantum state division requirement of the blood sample test encryption data, and simultaneously, the correction value of the blood sample test quantum data is +. >The introduction of the quantum state partition algorithm can be adjusted according to actual conditions, so that the applicability and the robustness of the quantum state partition algorithm are improved.
Preferably, step S5 comprises the steps of:
step S51: creating an intelligent sample tube based on the blood sample test quantum data, and performing storage backup processing on the blood sample test quantum data through an intelligent management technology to generate storage management information and backup management information, wherein the intelligent sample tube comprises a storage chip and a storage medium;
step S52: storing the blood sample test quantum data to a storage medium of the intelligent sample tube by using the storage management information;
step S53: and backing up the blood sample test quantum data to a cloud server by using a storage chip of the intelligent sample tube based on the backup management information so as to execute corresponding storage management.
The intelligent sample tube is created based on the blood sample test quantum data, so that the intelligent management of the blood sample test quantum data can be realized. The intelligent sample tube comprises a storage chip and a storage medium, and can store and backup the blood sample test quantum data. Through intelligent management technology, corresponding storage management information and backup management information can be generated, so that comprehensive management and protection of blood sample test quantum data are realized. Then, the blood sample test quantum data is stored in a storage medium of the intelligent sample tube by using the storage management information. By recording the storage position, storage time, storage state and other information of the blood sample test quantum data, the storage management information can realize effective management and control of the blood sample test quantum data. And the safety and reliability of the blood sample test quantum data are ensured by storing the blood sample test quantum data in a storage medium of the intelligent sample tube. And finally, backing up the blood sample test quantum data to a cloud server by utilizing a storage chip of the intelligent sample tube based on the backup management information, wherein the backup management information can realize effective backup and recovery of the blood sample test quantum data by recording information such as backup position, backup time, backup state and the like of the blood sample test quantum data, so that the safety and reliability of the blood sample test quantum data are further improved. Meanwhile, the backup management information can record the backup history of the blood sample test quantum data, and is convenient for subsequent data auditing and query processing.
Preferably, the present invention also provides a storage system for blood sample test data, comprising:
at least one processor;
a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of storing blood sample test data as described in any one of the preceding claims.
In summary, the present invention provides a storage system for blood sample test data, which can implement any one of the storage methods for blood sample test data according to the present invention, and is used to combine the operation among a memory, a processor, and a computer program running on the memory to implement a storage method for blood sample test data, and the internal structures of the systems cooperate with each other. Then, the blood sample test data is strictly protected in the processes of data processing, storage and sharing by using the rights token encryption technology and the quantum state partitioning algorithm, so that the user sensitive information is ensured not to be stolen, tampered or leaked, multiple encryption processing is realized by using the rights token encryption technology, and the safety and the reliability of the blood sample test data are ensured. Finally, through adopting the memory chip and the memory medium of intelligent sample pipe to realize dual backup in the process of storing blood sample test data to can realize high-efficient, safe, accurate storage and management operation, can also realize long-range sharing and management blood sample test data through the connection with the high in the clouds server, thereby improve blood sample test data's storage management efficiency.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of a non-limiting implementation, made with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of steps of a method for storing blood sample test data according to the present invention;
FIG. 2 is a detailed step flow chart of step S2 in FIG. 1;
FIG. 3 is a detailed flowchart illustrating the step S23 in FIG. 2;
FIG. 4 is a detailed step flow chart of step S3 in FIG. 1;
fig. 5 is a detailed step flow diagram of step S33 in fig. 4.
Detailed Description
The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.
It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
To achieve the above object, referring to fig. 1 to 5, the present invention provides a method for storing blood sample test data, the method comprising the steps of:
step S1: the method comprises the steps of performing data acquisition and detection processing on a blood sample through a digital technology and automatic detection equipment to obtain initial data of blood sample detection; performing data verification processing on the initial data of the blood sample test by using a verification pretreatment technology to obtain data to be processed of the blood sample test;
step S2: carrying out standardized treatment on the data to be processed of the blood sample test to obtain blood sample test standard data; performing data noise reduction processing on the blood sample test standard data by using a test noise reduction algorithm to obtain blood sample test data;
Step S3: compressing the blood sample test data by using a data compression algorithm to obtain blood sample test compressed data; performing data encryption processing on the blood sample test compressed data by using a rights token encryption technology to obtain blood sample test encrypted data;
step S4: carrying out quantum division processing on the blood sample test encryption data by utilizing a quantum state partitioning algorithm to obtain blood sample test quantum data;
step S5: creating an intelligent sample tube based on the blood sample test quantum data, wherein the intelligent sample tube comprises a storage chip and a storage medium; and storing the blood sample test quantum data into a storage medium of the intelligent sample tube, and backing up the blood sample test quantum data to a cloud server through a storage chip of the intelligent sample tube so as to execute corresponding storage management.
In the embodiment of the present invention, please refer to fig. 1, which is a schematic flow chart of steps of a method for storing blood sample test data according to the present invention, in this example, the steps of the method for storing blood sample test data include:
step S1: the method comprises the steps of performing data acquisition and detection processing on a blood sample through a digital technology and automatic detection equipment to obtain initial data of blood sample detection; performing data verification processing on the initial data of the blood sample test by using a verification pretreatment technology to obtain data to be processed of the blood sample test;
The embodiment of the invention performs data acquisition and detection processing on the blood sample by selecting proper digitizing technology and automatic inspection equipment so as to obtain initial data for blood sample inspection. And then, defining a proper data verification rule by utilizing a verification preprocessing technology to carry out data verification on the initial data of the blood sample test, and finally obtaining the data to be processed of the blood sample test.
Step S2: carrying out standardized treatment on the data to be processed of the blood sample test to obtain blood sample test standard data; performing data noise reduction processing on the blood sample test standard data by using a test noise reduction algorithm to obtain blood sample test data;
the embodiment of the invention unifies the unit, the precision and the like of the data to be processed for blood sample inspection to a certain standard range by carrying out standardized processing on the data to be processed for blood sample inspection, so as to obtain the standard data for blood sample inspection. Then, the influence of a noise source in the blood sample test standard data is eliminated by setting a proper test noise reduction algorithm, and finally the blood sample test data is obtained.
Step S3: compressing the blood sample test data by using a data compression algorithm to obtain blood sample test compressed data; performing data encryption processing on the blood sample test compressed data by using a rights token encryption technology to obtain blood sample test encrypted data;
According to the embodiment of the invention, the acquired blood sample test data is compressed by setting a proper data compression algorithm, so that the storage space and the transmission bandwidth of the blood sample test data are reduced, and the blood sample test compressed data are obtained. Then, the blood sample test compression data is encrypted by setting rights token encryption technology consisting of token generation technology, symmetric encryption technology, asymmetric encryption technology, digital signature technology and the like, and finally the blood sample test encryption data is obtained.
Step S4: carrying out quantum division processing on the blood sample test encryption data by utilizing a quantum state partitioning algorithm to obtain blood sample test quantum data;
according to the embodiment of the invention, the blood sample test encryption data after multiple encryption processing is subjected to quantum state division processing by setting a proper quantum state partition algorithm, and finally the blood sample test quantum data is obtained.
Step S5: creating an intelligent sample tube based on the blood sample test quantum data, wherein the intelligent sample tube comprises a storage chip and a storage medium; and storing the blood sample test quantum data into a storage medium of the intelligent sample tube, and backing up the blood sample test quantum data to a cloud server through a storage chip of the intelligent sample tube so as to execute corresponding storage management.
According to the embodiment of the invention, the proper intelligent sample tube is created by the blood sample test quantum data, and the intelligent sample tube comprises the storage chip and the storage medium, wherein the storage chip has enough storage capacity and high-speed access buffer speed, and the storage medium has enough reliability and long-term storage stability. Then, the blood sample test quantum data is stored into a storage medium of the intelligent sample tube by performing double storage backup processing on the blood sample test quantum data by using a proper technology, and the blood sample test quantum data is backed up to a cloud server by taking a storage chip of the intelligent sample tube as a medium so as to execute corresponding storage management.
The invention can avoid errors and deviations caused by manual intervention by using a digital technology and automatic inspection equipment to collect and detect data, thereby improving the precision and accuracy of the initial data of blood sample inspection. By utilizing the verification pretreatment technology to carry out data verification treatment on the initial data of blood sample detection, errors and abnormal data in the initial data of blood sample detection can be effectively detected to a certain extent, data errors and deviations caused by human factors and equipment factors are reduced, and the accuracy of data pretreatment is improved. The data to be processed of the blood sample test can be converted into a standard format by carrying out standardized processing on the data to be processed of the blood sample test, and a data base is provided for a subsequent noise reduction processing process. Then, noise and redundant information in the blood sample test standard data can be removed by performing data noise reduction processing on the blood sample test standard data by using a proper test noise reduction algorithm, so that the accuracy and reliability of the blood sample test data are improved. And the data compression algorithm is utilized to compress the blood sample test data, so that the storage space of the blood sample test data can be reduced, and the transmission efficiency of the blood sample test data can be improved. The data encryption processing is carried out on the blood sample test compressed data through the rights token encryption technology, so that the data privacy can be protected, and sensitive data leakage and tampering can be prevented. In addition, the blood sample test encryption data can be divided into a plurality of quantum states by carrying out quantum division processing on the blood sample test encryption data by utilizing a quantum state partitioning algorithm, so that the safety and reliability of the blood sample test encryption data are improved, and the tampering and leakage of the blood sample test encryption data are effectively prevented. Finally, an intelligent sample tube is created based on the blood sample test quantum data, so that the intelligent management and protection of the blood sample test quantum data can be realized. The intelligent sample tube comprises a storage chip and a storage medium, the blood sample test quantum data can be stored and backed up through the intelligent sample tube, and corresponding storage management information and backup management information can be generated through an intelligent management technology to carry out efficient, safe and accurate storage and backup management, so that comprehensive management and protection of the blood sample test quantum data are realized.
Preferably, step S1 comprises the steps of:
step S11: the method comprises the steps of performing data acquisition processing on a blood sample through a digitizing technology to obtain blood sample data;
according to the embodiment of the invention, the data acquisition is carried out on the blood sample by selecting a proper digitizing technology, and finally the blood sample data is obtained.
Step S12: detecting and processing the blood sample data by using automatic detecting equipment to obtain initial blood sample detecting data;
according to the embodiment of the invention, by selecting proper automatic testing equipment, such as blood analyzers, blood routine analyzers and the like, the selected automatic testing equipment is utilized to detect and process blood sample data, and finally, initial data of blood sample testing is obtained.
Step S13: and carrying out data verification processing on the initial data of the blood sample test by using a verification pretreatment technology to obtain data to be processed of the blood sample test.
According to the embodiment of the invention, the data verification rule, such as the rule of identifying numerical values, checking the validity of data and the like, is defined by utilizing the verification preprocessing technology, and the defined data verification rule is used for carrying out data verification on the initial data of the blood sample test, so that the data to be processed of the blood sample test is finally obtained.
The invention can convert the blood sample into the digital signal by using the digital technology to facilitate the processing and storage of the computer, and in addition, the manual collection process can be converted into the automatic collection of the machine by the application of the digital technology, so that the interference and errors of human factors are avoided, the digital technology not only improves the efficiency and accuracy of the data collection, but also can directly connect the blood sample data with other medical record systems, thereby realizing the sharing and utilization of information. Then, by utilizing the automatic inspection equipment, the blood sample data can be rapidly and accurately analyzed and detected, the deviation and error of manual operation are avoided, and the obtained blood sample inspection initial data comprises data information of multiple aspects such as blood components, biochemical indexes, immunological detection indexes and the like, so that data support for rapid diagnosis, treatment and monitoring can be provided for medical researchers. Finally, dirty data in the initial data of the blood sample test can be removed by using a verification pretreatment technology, so that the influence of error data on subsequent data processing and analysis is prevented, the accuracy and reliability of the data to be processed of the blood sample test are ensured, and the quality and application value of the data to be processed of the blood sample test are improved.
Preferably, step S2 comprises the steps of:
step S21: carrying out standardized treatment on the data to be processed of the blood sample test to obtain blood sample test standard data;
step S22: performing data cleaning treatment on the blood sample test standard data to obtain data to be subjected to noise reduction in the blood sample test;
step S23: and carrying out data noise reduction treatment on the data to be noise reduced in the blood sample test by using a test noise reduction algorithm to obtain blood sample test data.
As an embodiment of the present invention, referring to fig. 2, a detailed step flow chart of step S2 in fig. 1 is shown, in which step S2 includes the following steps:
step S21: carrying out standardized treatment on the data to be processed of the blood sample test to obtain blood sample test standard data;
the embodiment of the invention unifies the unit, the precision and the like of the data to be processed for the blood sample test to a certain standard range by carrying out standardized processing on the data to be processed for the blood sample test so as to ensure the consistency of the data to be processed for the blood sample test, and finally obtains the standard data for the blood sample test.
Step S22: performing data cleaning treatment on the blood sample test standard data to obtain data to be subjected to noise reduction in the blood sample test;
According to the embodiment of the invention, the data to be noise-reduced in the blood sample test is finally obtained after pretreatment such as data cleaning, repeated data removal, abnormal data removal, invalid data removal, missing value filling and the like are performed on the blood sample test standard data.
Step S23: and carrying out data noise reduction treatment on the data to be noise reduced in the blood sample test by using a test noise reduction algorithm to obtain blood sample test data.
According to the embodiment of the invention, a proper test noise reduction algorithm is constructed by setting parameters such as a proper test noise reduction algorithm kernel function, a shape parameter, a frequency domain bandwidth parameter, a correction value and the like, the influence of a noise source in blood sample test data to be noise reduced is eliminated by using the constructed test noise reduction algorithm, and finally the blood sample test data is obtained.
According to the invention, the data to be processed in the blood sample test is subjected to standardized treatment, so that the data to be processed in the blood sample test can be normalized according to the differences caused by factors such as different sample sources, different detection methods, different units and the like, the data to be processed in the blood sample test can be more easily compared and analyzed, and the data to be processed in the blood sample test can have the same reference measurement under the environments of different medical institutions, different time points, different medical researches and the like, so that the sharing, multiplexing and statistical analysis of the data to be processed in the blood sample test are facilitated. After normalization, there may still be some erroneous or anomalous data that may affect the subsequent data denoising process, and the removal of these outlier data points by data cleansing is an important step in data processing. In addition, the data cleaning process can ensure the accuracy and the integrity of the data to be noise reduced in the blood sample test, and meanwhile, unnecessary errors generated when the traditional noise reduction algorithm processes error data can be avoided. Finally, the data noise reduction processing is carried out on the processed data to be subjected to the blood sample test by utilizing a proper test noise reduction algorithm, so that the noise source in the data to be subjected to the blood sample test noise reduction is eliminated, and the quality and the reliability of the data to be subjected to the blood sample test noise reduction are improved. Through noise reduction processing, abnormal noise sources and error information in the data to be noise reduced in the blood sample inspection can be effectively filtered, the authenticity and the readability of the data to be noise reduced in the blood sample inspection are increased, and a data foundation is laid for subsequent compression, encryption and storage work.
Preferably, step S23 comprises the steps of:
step S231: performing noise value calculation on the data to be noise reduced for blood sample test by using a test noise reduction algorithm to obtain a blood sample test noise value;
wherein the test noise reduction algorithm function is as follows:
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in the method, in the process of the invention,checking noise value for blood sample,/->Checking noise frequency domain signal length of data to be noise reduced for blood sample,/->Checking the amount of data to be noise reduced for a blood sample, < >>To-be-noise-reduced data for blood sample examination, < > are provided>Checking the spatial coordinate length of the noise frequency domain signal of the data to be noise reduced for the blood sample, < >>Checking the data to be noise reduced for a blood sample +.>Estimated noise value of the individual noise frequency domain signal, +.>To check the kernel function of the noise reduction algorithm, < >>To check the shape parameters of the kernel function of the noise reduction algorithm, < +.>Checking the data to be noise reduced for a blood sample +.>Frequency domain bandwidth parameters of the individual noise frequency domain signals,to check the integral infinitesimal of the noise reduction algorithm +.>Checking correction values of noise values for the blood sample;
step S232: judging a blood sample test noise value according to a preset blood sample test noise threshold, and removing the data to be noise reduced of the blood sample test corresponding to the blood sample test noise value when the blood sample test noise value is greater than or equal to the preset blood sample test noise threshold to obtain blood sample test data;
Step S233: judging the blood sample test noise value according to a preset blood sample test noise threshold value, and directly defining the data to be noise reduced of the blood sample test corresponding to the blood sample test noise value as the blood sample test data when the blood sample test noise value is smaller than the preset blood sample test noise threshold value.
As an embodiment of the present invention, referring to fig. 3, a detailed step flow chart of step S23 in fig. 2 is shown, in which step S23 includes the following steps:
step S231: performing noise value calculation on the data to be noise reduced for blood sample test by using a test noise reduction algorithm to obtain a blood sample test noise value;
according to the embodiment of the invention, a proper test noise reduction algorithm is constructed by setting parameters such as a proper test noise reduction algorithm kernel function, a shape parameter, a frequency domain bandwidth parameter, a correction value and the like, an estimated noise value is obtained through calculation of the space coordinate length of a noise frequency domain signal, the actual noise value is evaluated, the noise value calculation is carried out on each noise frequency domain signal in the data to be subjected to noise reduction in the blood sample test according to the test noise reduction algorithm, and finally the blood sample test noise value is obtained.
Wherein the test noise reduction algorithm function is as follows:
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in the method, in the process of the invention,checking noise value for blood sample,/->Checking noise frequency domain signal length of data to be noise reduced for blood sample,/->Checking the amount of data to be noise reduced for a blood sample, < >>To-be-noise-reduced data for blood sample examination, < > are provided>Checking the spatial coordinate length of the noise frequency domain signal of the data to be noise reduced for the blood sample, < >>Checking the data to be noise reduced for a blood sample +.>Estimated noise value of the individual noise frequency domain signal, +.>To check the kernel function of the noise reduction algorithm, < >>To check the shape parameters of the kernel function of the noise reduction algorithm, < +.>Checking the data to be noise reduced for a blood sample +.>Frequency domain bandwidth parameters of the individual noise frequency domain signals,to check the integral infinitesimal of the noise reduction algorithm +.>Checking correction values of noise values for the blood sample;
the invention constructs a formula of a function of a test noise reduction algorithm, which is used for calculating noise value of data to be subjected to noise reduction in blood sample test, and in order to eliminate the influence of noise sources in the data to be subjected to noise reduction in the blood sample test on the subsequent storage management process of the data to be subjected to the blood sample test, the data to be subjected to noise reduction is required to be subjected to noise reduction so as to obtain cleaner and more accurate data to be subjected to noise reduction in the blood sample test, and the data to be subjected to noise reduction is detected by the test noise value calculation The noise-checking algorithm can effectively remove noise and interference data in the data to be noise-checked by the blood sample, so that the accuracy and the reliability of the data to be noise-checked by the blood sample are improved. The algorithm function formula fully considers the noise frequency domain signal length of the data to be noise reduced in blood sample testBlood sample examination number of data to be noise reduced +.>Blood specimen test data to be noise reduced +.>Noise frequency domain signal space coordinate length of blood sample test data to be noise reduced +.>The blood sample is checked for +.>Estimated noise value of individual noise frequency domain signal +.>Checking the kernel function of the noise reduction algorithm>Checking the shape parameter of the kernel function of the noise reduction algorithm>Checking the integral infinitesimal of the noise reduction algorithm>The blood sample is checked for +.>Frequency domain bandwidth parameter of the individual noise frequency domain signal +.>And need to be calculatedThe blood sample test noise value of (2) is normalized, and the blood sample test noise value is used for the normalization>The correlation relationship between the parameters forms a functional relationshipThe algorithm function formula realizes the calculation of the noise value of the data to be noise reduced in the blood sample test, and simultaneously, the correction value of the noise value in the blood sample test in the algorithm function formula is ∈ >The method can be adjusted according to actual conditions, so that the accuracy and the applicability of the inspection noise reduction algorithm are improved.
Step S232: judging a blood sample test noise value according to a preset blood sample test noise threshold, and removing the data to be noise reduced of the blood sample test corresponding to the blood sample test noise value when the blood sample test noise value is greater than or equal to the preset blood sample test noise threshold to obtain blood sample test data;
according to the embodiment of the invention, whether the calculated blood sample test noise value exceeds the preset blood sample test noise threshold value is judged according to the preset blood sample test noise threshold value, when the blood sample test noise value is larger than or equal to the preset blood sample test noise threshold value, the interference influence of a noise source in the blood sample test noise data to be noise reduced corresponding to the blood sample test noise value is larger, the blood sample test noise data to be noise reduced corresponding to the blood sample test noise value is removed, and finally the blood sample test data is obtained.
Step S233: judging the blood sample test noise value according to a preset blood sample test noise threshold value, and directly defining the data to be noise reduced of the blood sample test corresponding to the blood sample test noise value as the blood sample test data when the blood sample test noise value is smaller than the preset blood sample test noise threshold value.
According to the embodiment of the invention, whether the calculated blood sample test noise value exceeds the preset blood sample test noise threshold value is judged according to the preset blood sample test noise threshold value, when the blood sample test noise value is smaller than the preset blood sample test noise threshold value, the fact that the interference influence of a noise source in the blood sample test data to be noise reduced corresponding to the blood sample test noise value is smaller is indicated, and the blood sample test data to be noise reduced corresponding to the blood sample test noise value is directly defined as the blood sample test data.
According to the invention, due to the fact that noise interference, abnormal noise sources and the like possibly exist in the acquired blood sample test data to be noise-reduced, adverse effects can be caused on the accuracy and reliability of the follow-up blood sample test data storage work, so that noise value calculation is carried out on the blood sample test data to be noise-reduced through setting a proper test noise reduction algorithm, noise and interference signals existing in the blood sample test data to be noise-reduced can be identified and measured, noise signals are removed from the source, and the accuracy and reliability of the blood sample test data to be noise-reduced are improved. The noise reduction process is adjusted and optimized by combining the noise reduction checking algorithm kernel function, the shape parameter, the frequency domain bandwidth parameter, the correction value and other parameters of the noise reduction checking algorithm kernel function, so that the optimal noise reduction effect and the optimal calculation result are obtained, and the blood sample noise checking value is calculated more accurately. Then, according to specific data noise reduction processing requirements and quality standards, the calculated blood sample detection noise value is judged by setting a proper blood sample detection noise threshold value, so that the blood sample detection data to be noise reduced with a large blood sample detection noise value can be effectively removed, the influence of the blood sample detection data to be noise reduced with a large blood sample detection noise value on the whole data is avoided, the quality of the data is further improved, unnecessary interference and error are reduced, and the accuracy and reliability of the blood sample detection data to be noise reduced are ensured. Finally, the blood sample test noise value is judged by using a preset blood sample test noise threshold value, the blood sample test data to be noise-reduced with smaller blood sample test noise value is defined as blood sample test data, more accurate and reliable blood sample test data to be noise-reduced can be obtained, the data are less interfered by noise, a more stable data base can be provided for the subsequent compression and encryption process, and therefore the availability and the effectiveness of the blood sample test data are improved.
Preferably, step S3 comprises the steps of:
step S31: creating a blood sample test backup database, and backing up the blood sample test data to the blood sample test backup database by utilizing a data backing-up technology to obtain blood sample test backup data;
step S32: compressing the blood sample test backup data by using a data compression algorithm to obtain blood sample test compressed data;
step S33: and carrying out data encryption processing on the blood sample test compressed data by using a rights token encryption technology to obtain blood sample test encrypted data.
As an embodiment of the present invention, referring to fig. 4, a detailed step flow chart of step S3 in fig. 1 is shown, in which step S3 includes the following steps:
step S31: creating a blood sample test backup database, and backing up the blood sample test data to the blood sample test backup database by utilizing a data backing-up technology to obtain blood sample test backup data;
the embodiment of the invention provides a backup space for blood sample test data by creating the blood sample test backup database so as to prevent the blood sample test data from being lost or damaged in the subsequent data processing process, then backs up the blood sample test data into the constructed blood sample test backup database by using a data backup technology, transmits the blood sample test data by using a safe connection, acquires the blood sample test data from the blood sample test backup database, and finally obtains the blood sample test backup data.
Step S32: compressing the blood sample test backup data by using a data compression algorithm to obtain blood sample test compressed data;
according to the embodiment of the invention, the acquired blood sample test backup data is compressed by setting a proper data compression algorithm, so that the storage space and transmission bandwidth of the blood sample test backup data are reduced, and finally the blood sample test compressed data are obtained.
Step S33: and carrying out data encryption processing on the blood sample test compressed data by using a rights token encryption technology to obtain blood sample test encrypted data.
The embodiment of the invention carries out encryption processing on the blood sample test compressed data by arranging rights token encryption technology consisting of token generation technology, symmetric encryption technology, asymmetric encryption technology, digital signature technology and the like, and finally obtains the blood sample test encrypted data.
The invention provides a backup space for the blood sample test data by creating the blood sample test backup database, can carry out recovery processing when the blood sample test data is lost or damaged, and completely backs up the blood sample test data to the blood sample test backup database by a data backup technology, thereby ensuring the integrity and the recoverability of the blood sample test data. Then, by setting a proper data compression algorithm to compress the blood sample test backup data, the blood sample test data can be compressed into a smaller storage space, so that the storage space of the blood sample test data is saved. Finally, the data encryption processing is carried out on the blood sample test compressed data by using the rights token encryption technology so as to ensure the safety of the blood sample test compressed data. The rights token encryption technology is used for encrypting and decrypting the blood sample test compressed data based on the token encryption key, so that confidentiality of the blood sample test compressed data can be ensured, and in the practical application process, only a user with the token encryption key can decrypt the blood sample test encrypted data, thereby ensuring safety and privacy of the blood sample test encrypted data.
Preferably, the functional formula of the data compression algorithm in step S32 is specifically:
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；
in the method, in the process of the invention,data compression algorithm function, ++>Checking the compressed length of the backup data for the blood sample, < >>For compressing the position parameter +.>Checking the backup data for the blood sample in the compressed position +.>Compressed data sample value +.>Checking the backup data for the blood sample in the compressed position +.>Compression tolerance range value at +.>Checking the backup data for the blood sample in the compressed position +.>Noise variance of compressed data window at +.>Integral infinitesimal for compressed position error integral function, ">Is a discrete Fourier transform function->For the number of discrete fourier transforms, +.>Is->Adjustment coefficient of the secondary discrete fourier transform, +.>Checking the backup data for the blood sample in the compressed position +.>The%>A sub-discrete fourier transform basis function,>is->Adjusting compressed distribution index of the secondary discrete fourier transform, < >>Is->Adjusting compression influence coefficients of the sub-discrete fourier transform, < >>Control index factor for adjusting the compressed distribution index, +.>Control factor for adjusting the compression influence factor, +.>Is an integral infinitesimal of a discrete fourier transform function, < ->Correction values for the data compression algorithm function.
The invention constructs a formula of a data compression algorithm function, which is used for compressing the blood sample test backup data, and the data compression algorithm reduces the storage space occupied by the blood sample test backup data by compressing the original blood sample test backup data so as to reduce the occupation of the data storage space and the transmission bandwidth, thereby ensuring the integrity and the accuracy of the blood sample test backup data. The algorithm function formula fully considers the compression length of the blood sample test backup dataCompression position parameter->Blood specimen test backup data in compressed position +.>Compressed data sample value +.>Blood specimen test backup data in compressed position +.>Compression allowable error range value at +.>Blood specimen test backup data in compressed position +.>Noise variance of compressed data window>Integral infinitesimal of compressed position error integral function>Discrete FourierReed-Solomon function>The number of discrete Fourier transforms +.>First->Adjustment coefficient of the secondary discrete Fourier transform->Blood specimen test backup data in compressed position +.>The%>Sub-discrete Fourier transform basis functionFirst- >Adjustment of the sub-discrete Fourier transform compressed distribution index +.>First->Adjusting the compression influence coefficient of the secondary discrete Fourier transform +.>Control index factor for adjusting the compressed distribution index>Control factor for adjusting the compression influence factor +.>Integral infinitesimal of discrete Fourier transform function>Correction value of data compression algorithm function>Wherein the compressed length of the backup data is checked by blood specimen +.>Compression position parameter->Blood specimen test backup data in compressed position +.>Compressed data sample value +.>Blood specimen test backup data in compressed position +.>Compression allowable error range value at +.>Integral infinitesimal of compressed position error integral function>Blood specimen test backup data in compressed position +.>Noise variance of compressed data window>And logarithmic function, and normalizing the compressed length, and forming a compressed position error integral function relationship according to the mutual relationship between the parameters>In addition, the number of times of discrete Fourier transform is +.>First->Adjustment coefficient of the secondary discrete Fourier transform->Blood specimen test backup data in compressed position +.>The%>Sub-discrete Fourier transform basis function- >First->Adjustment of the sub-discrete Fourier transform compressed distribution index +.>First->Adjusting the compression influence coefficient of the secondary discrete Fourier transform +.>Control index factor for adjusting the compressed distribution index>Integral infinitesimal of discrete Fourier transform function>Control factor for adjusting the compression influence factor +.>Compressed length of blood specimen test backup data +.>Discrete Fourier transform function constituting compressed length +.>Relation->According to the data compression algorithm function->Form a functional relationship with the above parameters>The algorithm function formula realizes the compression processing of the blood sample test backup data, and simultaneously, the correction value of the algorithm function is +.>The introduction of the data compression algorithm can be adjusted according to actual conditions, so that the applicability and the stability of the data compression algorithm are improved.
Preferably, step S33 includes the steps of:
step S331: performing data encryption processing on the blood sample test compressed data through a rights token encryption technology, wherein the rights token encryption technology comprises a token generation technology, a symmetric encryption technology, an asymmetric encryption technology and a digital signature technology;
step S332: performing token key generation processing on the blood sample test compressed data by using a token generation technology based on cryptography to generate a blood sample test token encryption key;
Step S333: performing primary encryption processing on the encryption key of the blood sample test token by using a symmetric encryption technology to obtain primary encryption data of the blood sample test;
step S334: performing secondary encryption processing on the primary encryption data of the blood sample test by using an asymmetric encryption technology to obtain the secondary encryption data of the blood sample test;
step S335: and carrying out digital signature protection treatment on the blood sample test secondary encryption data by utilizing a digital signature technology so as to obtain the blood sample test encryption data.
As an embodiment of the present invention, referring to fig. 5, a detailed step flow chart of step S33 in fig. 4 is shown, in which step S33 includes the following steps:
step S331: performing data encryption processing on the blood sample test compressed data through a rights token encryption technology, wherein the rights token encryption technology comprises a token generation technology, a symmetric encryption technology, an asymmetric encryption technology and a digital signature technology;
the embodiment of the invention selects a proper rights token encryption technology according to specific requirements and security levels to carry out data encryption processing on blood sample test compressed data, wherein the rights token encryption technology comprises a token generation technology, a symmetric encryption technology, an asymmetric encryption technology and a digital signature technology, the token generation technology is an algorithm based on a secret student forming a shared key, the symmetric encryption technology is a technology for encrypting the shared key generated by the token generation technology by using an AES encryption algorithm, the asymmetric encryption technology is a technology for encrypting the encrypted data generated by the symmetric encryption technology by using an RSA encryption algorithm, and the digital signature technology is a technology for digitally signing and encrypting the encrypted data generated by the asymmetric encryption technology by using an SHA digital signature algorithm.
Step S332: performing token key generation processing on the blood sample test compressed data by using a token generation technology based on cryptography to generate a blood sample test token encryption key;
the embodiment of the invention carries out token shared secret key generation processing on the blood sample test compressed data by adopting a hash message authentication code based on cryptography, and finally generates the blood sample test token encryption secret key.
Step S333: performing primary encryption processing on the encryption key of the blood sample test token by using a symmetric encryption technology to obtain primary encryption data of the blood sample test;
the embodiment of the invention carries out primary encryption on the generated encryption key of the blood sample test token by using the encryption key and the decryption key of the same key by utilizing the selected symmetric encryption technology, and finally obtains the primary encryption data of the blood sample test.
Step S334: performing secondary encryption processing on the primary encryption data of the blood sample test by using an asymmetric encryption technology to obtain the secondary encryption data of the blood sample test;
according to the embodiment of the invention, the encryption and decryption processing is carried out by using a pair of keys (namely a public key and a private key) by using a selected asymmetric encryption technology, and the secondary encryption processing is carried out on the generated primary encryption data of the blood sample test according to the asymmetric encryption technology, so that the secondary encryption data of the blood sample test is finally obtained.
Step S335: and carrying out digital signature protection treatment on the blood sample test secondary encryption data by utilizing a digital signature technology so as to obtain the blood sample test encryption data.
The embodiment of the invention performs data signature authentication processing on the blood sample test secondary encryption data by utilizing the selected digital signature technology, performs digital signature on the blood sample test secondary encryption data by using a private key and performs digital signature verification by using a public key so as to ensure the integrity of the blood sample test secondary encryption data, authenticate the identity of a sender and prevent tampering, and finally obtains the blood sample test encryption data.
The invention carries out data encryption processing on the blood sample test compressed data by the rights token encryption technology, wherein the rights token encryption technology consists of a token generation technology, a symmetrical encryption technology, an asymmetrical encryption technology and a digital signature technology, and the rights token encryption technology can ensure the safety and the integrity of the blood sample test compressed data in the transmission and storage processes. The encryption key of the blood sample test token is generated by using a token generation technology based on cryptography, is a necessary key for encrypting and decrypting blood sample test compressed data, is generated by using the cryptography technology, ensures the security and the difficulty in cracking of the key, and can be used for subsequent encryption and decryption operations. Then, the blood sample test token encryption key is encrypted at one stage by utilizing a symmetric encryption technology, wherein the symmetric encryption technology is an encryption technology which uses the same key for encryption and decryption, and the blood sample test token encryption key is encrypted, so that the security of the blood sample test token encryption key in the transmission process is ensured. In addition, the primary encryption data of the blood sample test after primary encryption is subjected to secondary encryption by utilizing an asymmetric encryption technology, wherein the asymmetric encryption technology is an encryption technology for encrypting and decrypting by using different keys, and can further improve the security of the encryption key of the blood sample test token. Specifically, the encryption mode of encrypting by using the public key and decrypting by using the private key is utilized, so that the safety and the reliability of the data in the data transmission process are ensured. And finally, performing digital signature protection processing on the blood sample test secondary encryption data by utilizing a digital signature technology to obtain the blood sample test encryption data. The digital signature technology is an encryption technology capable of guaranteeing data integrity and authentication, and the digital signature technology guarantees that the blood sample test secondary encryption data is not tampered in the transmission process by carrying out signature authentication on the blood sample test secondary encryption data. In the digital signature technology, a private key is used for signature, and a public key is used for verification, so that the safety and the reliability of blood sample test encrypted data can be ensured.
Preferably, the functional formula of the quantum state partitioning algorithm in step S4 is specifically:
；
in the method, in the process of the invention,examining quantum data for blood samples, < >>The quantum state partition location of the encrypted data is examined for the blood sample,the position of the quantum state initial partition of the encrypted data is checked for the blood sample,/>for the adjustment parameters of the quantum state partition position, +.>Testing the quantum state partition momentum of the encrypted data for blood samples,/->Testing the blood sample for the quantum state initial partition momentum of the encrypted data,/->For the adjustment parameters of the quantum state partition momentum, +.>For quantum state partition position->Momentum +.>Quantum state wave function between +.>To partition position in quantum state>Momentum +.>Quantum state left vector in space, +.>To partition position in quantum state>Momentum +.>Quantum state right vector in space, +.>For quantum state partition position->Integral primordia of>Momentum +.>Integral primordia of>Correction values of the quantum data are checked for blood samples.
The invention constructs a formula of a quantum state partition algorithm function, which is used for carrying out quantum division processing on the blood sample test encryption data, and the quantum state partition algorithm can accurately divide and control the blood sample test encryption data, thereby ensuring the accuracy and the integrity of the blood sample test encryption data, flexibly adjusting the quantum state division process through adjusting parameters, and adapting to the quantum state processing requirements of the blood sample test encryption data under different scenes. The algorithm function fully considers the quantum state partition position of the blood sample test encryption data Quantum state initial partition position of blood sample test encryption data +.>Adjusting parameter of quantum state partition position +.>Quantum state partition momentum of blood sample test encrypted data>Quantum state initial partition momentum of blood sample test encrypted data>Adjusting parameters of quantum state partition momentumQuantum state partition position->Momentum +.>Quantum state wave function between->At the quantum state partition positionMomentum +.>Quantum state left vector in space->In the quantum state partition position->Momentum +.>Quantum state right vector in space>Quantum state partition position->Integral infinitesimal of (2)>Quantum state partition momentum->Integral infinitesimal of (2)>Examination of Quantum data according to blood specimens->The interrelationship between the above parameters constitutes a functional relationship +.>The algorithm function formula realizes the quantum state division requirement of the blood sample test encryption data, and simultaneously, the correction value of the blood sample test quantum data is +.>The introduction of the quantum state partition algorithm can be adjusted according to actual conditions, so that the applicability and the robustness of the quantum state partition algorithm are improved.
Preferably, step S5 comprises the steps of:
step S51: creating an intelligent sample tube based on the blood sample test quantum data, and performing storage backup processing on the blood sample test quantum data through an intelligent management technology to generate storage management information and backup management information, wherein the intelligent sample tube comprises a storage chip and a storage medium;
According to the embodiment of the invention, the proper intelligent sample tube is created through the blood sample test quantum data, and the intelligent sample tube comprises the storage chip and the storage medium, wherein the storage chip has enough storage capacity and high-speed access buffer speed, so that the backup rate of the blood sample test quantum data can be ensured, and the storage medium has enough reliability and long-term storage stability, so that the storage stability and reliability of the blood sample test quantum data are ensured. Then, the intelligent management technology is used for carrying out double storage backup processing on the blood sample test quantum data, and corresponding storage management information and backup management information are finally generated.
Step S52: storing the blood sample test quantum data to a storage medium of the intelligent sample tube by using the storage management information;
according to the embodiment of the invention, the corresponding storage management information including the type, the name, the storage position and the like of the blood sample test quantum data is acquired, and the blood sample test quantum data is stored into a storage medium of the created intelligent sample tube according to the storage management information.
Step S53: and backing up the blood sample test quantum data to a cloud server by using a storage chip of the intelligent sample tube based on the backup management information so as to execute corresponding storage management.
According to the embodiment of the invention, the corresponding backup management information including the backup position, the backup state and the like is obtained, and the blood sample test quantum data is backed up to the cloud server by taking the storage chip of the intelligent sample tube as a medium according to the backup management information so as to execute corresponding storage management.
The intelligent sample tube is created based on the blood sample test quantum data, so that the intelligent management of the blood sample test quantum data can be realized. The intelligent sample tube comprises a storage chip and a storage medium, and can store and backup the blood sample test quantum data. Through intelligent management technology, corresponding storage management information and backup management information can be generated, so that comprehensive management and protection of blood sample test quantum data are realized. Then, the blood sample test quantum data is stored in a storage medium of the intelligent sample tube by using the storage management information. By recording the storage position, storage time, storage state and other information of the blood sample test quantum data, the storage management information can realize effective management and control of the blood sample test quantum data. And the safety and reliability of the blood sample test quantum data are ensured by storing the blood sample test quantum data in a storage medium of the intelligent sample tube. And finally, backing up the blood sample test quantum data to a cloud server by utilizing a storage chip of the intelligent sample tube based on the backup management information, wherein the backup management information can realize effective backup and recovery of the blood sample test quantum data by recording information such as backup position, backup time, backup state and the like of the blood sample test quantum data, so that the safety and reliability of the blood sample test quantum data are further improved. Meanwhile, the backup management information can record the backup history of the blood sample test quantum data, and is convenient for subsequent data auditing and query processing.
Preferably, the present invention also provides a storage system for blood sample test data, comprising:
at least one processor;
a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of storing blood sample test data as described in any one of the preceding claims.
In summary, the present invention provides a storage system for blood sample test data, which can implement any one of the storage methods for blood sample test data according to the present invention, and is used to combine the operation among a memory, a processor, and a computer program running on the memory to implement a storage method for blood sample test data, and the internal structures of the systems cooperate with each other. Then, the blood sample test data is strictly protected in the processes of data processing, storage and sharing by using the rights token encryption technology and the quantum state partitioning algorithm, so that the user sensitive information is ensured not to be stolen, tampered or leaked, multiple encryption processing is realized by using the rights token encryption technology, and the safety and the reliability of the blood sample test data are ensured. Finally, through adopting the memory chip and the memory medium of intelligent sample pipe to realize dual backup in the process of storing blood sample test data to can realize high-efficient, safe, accurate storage and management operation, can also realize long-range sharing and management blood sample test data through the connection with the high in the clouds server, thereby improve blood sample test data's storage management efficiency.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of storing test data for a blood sample, comprising the steps of:
step S1: the method comprises the steps of performing data acquisition and detection processing on a blood sample through a digital technology and automatic detection equipment to obtain initial data of blood sample detection; performing data verification processing on the initial data of the blood sample test by using a verification pretreatment technology to obtain data to be processed of the blood sample test;
Step S2: carrying out standardized treatment on the data to be processed of the blood sample test to obtain blood sample test standard data; performing data noise reduction processing on the blood sample test standard data by using a test noise reduction algorithm to obtain blood sample test data;
step S3: compressing the blood sample test data by using a data compression algorithm to obtain blood sample test compressed data; performing data encryption processing on the blood sample test compressed data by using a rights token encryption technology to obtain blood sample test encrypted data;
step S4: carrying out quantum division processing on the blood sample test encryption data by utilizing a quantum state partitioning algorithm to obtain blood sample test quantum data;
step S5: creating an intelligent sample tube based on the blood sample test quantum data, wherein the intelligent sample tube comprises a storage chip and a storage medium; and storing the blood sample test quantum data into a storage medium of the intelligent sample tube, and backing up the blood sample test quantum data to a cloud server through a storage chip of the intelligent sample tube so as to execute corresponding storage management.
2. The method of storing blood sample test data according to claim 1, wherein step S1 comprises the steps of:
Step S11: the method comprises the steps of performing data acquisition processing on a blood sample through a digitizing technology to obtain blood sample data;
step S12: detecting and processing the blood sample data by using automatic detecting equipment to obtain initial blood sample detecting data;
step S13: and carrying out data verification processing on the initial data of the blood sample test by using a verification pretreatment technology to obtain data to be processed of the blood sample test.
3. The method of storing blood sample test data according to claim 1, wherein step S2 comprises the steps of:
step S21: carrying out standardized treatment on the data to be processed of the blood sample test to obtain blood sample test standard data;
step S22: performing data cleaning treatment on the blood sample test standard data to obtain data to be subjected to noise reduction in the blood sample test;
step S23: and carrying out data noise reduction treatment on the data to be noise reduced in the blood sample test by using a test noise reduction algorithm to obtain blood sample test data.
4. A method of storing blood sample test data according to claim 3, wherein step S23 comprises the steps of:
step S231: performing noise value calculation on the data to be noise reduced for blood sample test by using a test noise reduction algorithm to obtain a blood sample test noise value;
Wherein the test noise reduction algorithm function is as follows:
；
in the method, in the process of the invention,checking noise value for blood sample,/->Checking noise frequency domain signal length of data to be noise reduced for blood sample,/->Checking the amount of data to be noise reduced for a blood sample, < >>To-be-noise-reduced data for blood sample examination, < > are provided>Checking the spatial coordinate length of the noise frequency domain signal of the data to be noise reduced for the blood sample, < >>Checking the data to be noise reduced for a blood sample +.>Estimated noise value of the individual noise frequency domain signal, +.>To check the kernel function of the noise reduction algorithm, < >>To check the shape parameters of the kernel function of the noise reduction algorithm, < +.>Checking the data to be noise reduced for a blood sample +.>Frequency domain bandwidth parameter of the individual noise frequency domain signal, +.>To check the integral infinitesimal of the noise reduction algorithm +.>Checking correction values of noise values for the blood sample;
step S232: judging a blood sample test noise value according to a preset blood sample test noise threshold, and removing the data to be noise reduced of the blood sample test corresponding to the blood sample test noise value when the blood sample test noise value is greater than or equal to the preset blood sample test noise threshold to obtain blood sample test data;
step S233: judging the blood sample test noise value according to a preset blood sample test noise threshold value, and directly defining the data to be noise reduced of the blood sample test corresponding to the blood sample test noise value as the blood sample test data when the blood sample test noise value is smaller than the preset blood sample test noise threshold value.
5. The method of storing blood sample test data according to claim 1, wherein step S3 comprises the steps of:
step S31: creating a blood sample test backup database, and backing up the blood sample test data to the blood sample test backup database by utilizing a data backing-up technology to obtain blood sample test backup data;
step S32: compressing the blood sample test backup data by using a data compression algorithm to obtain blood sample test compressed data;
step S33: and carrying out data encryption processing on the blood sample test compressed data by using a rights token encryption technology to obtain blood sample test encrypted data.
6. The method according to claim 5, wherein the function formula of the data compression algorithm in step S32 is specifically:
；
；
in the method, in the process of the invention,data compression algorithm function, ++>Checking the compressed length of the backup data for the blood sample, < >>For compressing the position parameter +.>Checking the backup data for the blood sample in the compressed position +.>Compressed data sample value +.>Checking the backup data for the blood sample in the compressed position +.>Compression tolerance range value at +. >Checking the backup data for the blood sample in the compressed position +.>Pressure at the locationData-reduction window noise variance +_>Integral infinitesimal for compressed position error integral function, ">Is a discrete Fourier transform function->For the number of discrete fourier transforms, +.>Is->The adjustment coefficients of the secondary discrete fourier transform,checking the backup data for the blood sample in the compressed position +.>The%>A sub-discrete fourier transform basis function,>is->Adjusting compressed distribution index of the secondary discrete fourier transform, < >>Is->Adjusting compression influence coefficients of the sub-discrete fourier transform, < >>Control index factor for adjusting the compressed distribution index, +.>Control factor for adjusting the compression influence factor, +.>Is an integral infinitesimal of a discrete fourier transform function, < ->Correction values for the data compression algorithm function.
7. The method of storing blood sample test data according to claim 5, wherein step S33 comprises the steps of:
step S331: performing data encryption processing on the blood sample test compressed data through a rights token encryption technology, wherein the rights token encryption technology comprises a token generation technology, a symmetric encryption technology, an asymmetric encryption technology and a digital signature technology;
Step S332: performing token key generation processing on the blood sample test compressed data by using a token generation technology based on cryptography to generate a blood sample test token encryption key;
step S333: performing primary encryption processing on the encryption key of the blood sample test token by using a symmetric encryption technology to obtain primary encryption data of the blood sample test;
step S334: performing secondary encryption processing on the primary encryption data of the blood sample test by using an asymmetric encryption technology to obtain the secondary encryption data of the blood sample test;
step S335: and carrying out digital signature protection treatment on the blood sample test secondary encryption data by utilizing a digital signature technology so as to obtain the blood sample test encryption data.
8. The method according to claim 1, wherein the quantum state partitioning algorithm in step S4 has a functional formula:
；
in the method, in the process of the invention,examining quantum data for blood samples, < >>Checking the quantum state partition position of the encrypted data for the blood sample,/->Checking the quantum state initial partition position of the encrypted data for the blood sample,/->For the adjustment parameters of the quantum state partition position, +.>Testing the quantum state partition momentum of the encrypted data for blood samples,/- >Testing the blood sample for the quantum state initial partition momentum of the encrypted data,/->For the adjustment parameters of the quantum state partition momentum, +.>For quantum state partition position->Momentum +.>Quantum state wave function between +.>To partition position in quantum state>Momentum +.>Quantum state left vector in space, +.>To partition position in quantum state>Momentum +.>Quantum state right vector in space, +.>For quantum state partition position->Integral primordia of>Momentum +.>Integral primordia of>Correction values of the quantum data are checked for blood samples.
9. The method of storing blood sample test data according to claim 1, wherein step S5 comprises the steps of:
step S51: creating an intelligent sample tube based on the blood sample test quantum data, and performing storage backup processing on the blood sample test quantum data through an intelligent management technology to generate storage management information and backup management information, wherein the intelligent sample tube comprises a storage chip and a storage medium;
step S52: storing the blood sample test quantum data to a storage medium of the intelligent sample tube by using the storage management information;
step S53: and backing up the blood sample test quantum data to a cloud server by using a storage chip of the intelligent sample tube based on the backup management information so as to execute corresponding storage management.
10. A storage system for blood sample test data, comprising:
at least one processor;
a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of storing blood sample test data according to any one of claims 1 to 9.
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