CN115510489A - Shared intelligent laboratory system based on correlation analysis data secret transmission - Google Patents
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Abstract
The invention relates to the technical field of intelligent laboratory data sharing, in particular to a shared intelligent laboratory system based on correlation analysis data secret transmission. The system comprises a shared personnel identity information acquisition unit, an experimental data symbolic information extraction unit and an experimental data sharing unit. In the invention, the experimental data symbolic information extracting unit extracts the experimental data symbolic information stored in the experimental data sharing unit, the experimental data symbolic information is compared with the sharing personnel identity checking unit to judge the relevance between the sharing personnel and the experiment, and the experimental data sharing unit provides other experimental data for the sharing personnel after verification, thereby realizing the internal self-sharing function of the experimental data and avoiding the leakage of the experimental data system caused by the fact that irrelevant personnel enter the experimental data sharing system.
Description
Technical Field
The invention relates to the technical field of intelligent laboratory data sharing, in particular to a shared intelligent laboratory system based on correlation analysis data secret transmission.
Background
In the experimental process of laboratory, can produce a large amount of experimental data, and these experimental data need a plurality of workers to calculate in coordination usually, different workers are responsible for different experimental work, but in the verification or the process of gathering, need to carry out whole analysis to each experimental data, the most of experimental data is unpublished simultaneously, still be in secret state, need carry out authentication in carrying out the analytic process, and traditional laboratory system most adopts password discernment, the password is fixed invariable, and does not have light with the experimental data, so this password once leak to irrelevant personnel, will lead to original experimental data and the experimental data that the later stage constantly updated all to be leaked, so now need to be based on the secret shared laboratory system of transmission of correlation analysis data urgent need.
Disclosure of Invention
The present invention is directed to a shared intelligent laboratory system based on the secure transmission of correlation analysis data, so as to solve the problems mentioned in the background art.
In order to achieve the purpose, the shared intelligent laboratory system based on the confidential transmission of correlation analysis data comprises a shared personnel identity information acquisition unit, wherein the shared personnel identity information acquisition unit is used for receiving personnel identity information and inspection information to be shared, the output end of the shared personnel identity information acquisition unit is connected with a shared personnel identity verification unit, the input end of the shared personnel identity verification unit is connected with an experimental data symbolic information extraction unit, the input end of the experimental data symbolic information extraction unit is connected with an experimental data sharing unit, the experimental data sharing unit is used for storing experimental data, the experimental data symbolic information extraction unit is used for analyzing and processing the experimental data stored by the experimental data sharing unit to obtain the symbolic information in the experimental data and transmitting the symbolic information in the experimental data to the shared personnel identity verification unit, the output end of the shared personnel identity verification unit is connected with a shared personnel identity verification unit, and the output end of the shared personnel identity verification unit is connected with the input end of the experimental data sharing unit.
As a further improvement of the technical solution, the shared personnel identity verification unit includes a shared personnel data information providing module, the shared personnel data information providing module is used for collecting verification information provided by shared personnel, an output end of the shared personnel data information providing module is connected with a symbolic information comparison module, the symbolic information comparison module is used for comparing the verification information provided by the shared personnel with the symbolic information in the experimental data, and an output end of the symbolic information comparison module is connected with a comparison data output module.
As a further improvement of the technical solution, the shared personnel identity verification unit adopts an identity verification algorithm, and the algorithm formula is as follows:
A＝[a 1 ，a 2 ，…，a n ]；
B＝[b 1 ，b 2 ，…，b m ]；
wherein A is a data cluster set of symbolic information in experimental data, a 1 To a n For each data cluster of the symbolic information in the experimental data, B for the data cluster set of the verification information provided by the sharing personnel, B 1 To b m Respective data clusters of check information provided for sharing personnel, f (b) 0 ) A mapping equation of a data cluster set B of verification information provided for sharing personnel and a data cluster set A of symbolic information in experimental data, B 0 The similarity rate c is a similarity rate threshold value when the similarity rate b is 0 When the similarity is not less than the similarity threshold c, the mapping equation f (b) 0 ) And the output is 1, the data cluster set B indicating the verification information provided by the sharing personnel is related to the data cluster set A of the symbolic information in the experimental data, and the sharing personnel is judged to be the target personnel provided by the experimental data.
As a further improvement of the technical scheme, the experimental data symbolic information extraction unit comprises an overall experimental data screening module, the overall experimental data screening module is used for screening experimental data, and the output end of the overall experimental data screening module is connected with a symbolic information identification module.
As a further improvement of the technical solution, an output end of the experiment data sharing unit is connected with an experiment data updating unit, an output end of the experiment data updating unit is connected with an input end of the experiment data sharing unit, and the experiment data updating unit is used for providing experiment updating data for the experiment data sharing unit.
As a further improvement of the technical solution, the experiment data updating unit includes an updated data identification module, an output end of the updated data identification module is connected to an error data removing module, and the error data removing module is used for removing error data in the updated experiment data.
As a further improvement of the technical scheme, the output end of the experiment data updating unit is connected with an updating data identification recognition unit, the input end of the updating data identification recognition unit is connected with the output end of the experiment data sharing unit, and the updating data identification recognition unit is used for recognizing the identification of the experiment data stored in the experiment data sharing unit.
As a further improvement of the technical solution, the output end of the update data identification degree recognition unit is connected with the input end of the experimental data symbolic information extraction unit.
As a further improvement of the technical solution, an output end of the symbolic information identification module is connected with a new and old symbolic information replacement module, and an input end of the new and old symbolic information replacement module is connected with an output end of the update data identification degree recognition unit.
Compared with the prior art, the invention has the beneficial effects that:
1. in the shared intelligent laboratory system based on the confidential transmission of the correlation analysis data, the experimental data symbolic information extracting unit extracts the experimental data symbolic information stored in the experimental data sharing unit, the experimental data symbolic information is compared with the experimental data symbolic information through the sharing personnel identity verifying unit to judge the correlation between the sharing personnel and the experiment, and the experimental data sharing unit provides other experimental data for the verified sharing personnel, so that the internal self-sharing function of the experimental data is realized, and the situation that irrelevant personnel enter the experimental data sharing system to cause the leakage of the experimental data system is avoided.
2. In the shared intelligent laboratory system based on the relevance analysis data confidential transmission, a shared personnel data information providing module collects check information provided by shared personnel and transmits the check information provided by the shared personnel to a symbolic information comparison module, the symbolic information comparison module compares the check information provided by the shared personnel with the symbolic information in experimental data to generate comparison data information, the comparison data information is transmitted to a comparison data output module, the comparison data information is integrated through the comparison data output module, and the integrated comparison data information is output to be used for identity verification of a shared personnel identity verification unit.
3. In the shared intelligent laboratory system based on the confidential transmission of the correlation analysis data, the updated data is extracted through the experimental data updating unit, the extracted updated data is transmitted to the experimental data sharing unit, the symbolic information is updated in time, and the timeliness of the symbolic information is improved.
4. In the shared intelligent laboratory system based on the confidential transmission of the correlation analysis data, the identification degree of each experimental data and the symbolic information, namely the correlation degree with the symbolic information, is judged by the identification degree identification unit of the updated data, after the data correlated with the symbolic information appears in the later updated experimental data, whether the updated data can influence the updating of the symbolic information can be judged, if the correlation is low, the data with the highest occurrence frequency of the experimental data needs to be judged again, if the correlation is high, the updated data is close to the original symbolic information content, the data with the highest occurrence frequency of the experimental data does not need to be judged again, the operation process is reduced, and the judgment efficiency of the symbolic information is improved.
Drawings
FIG. 1 is an overall flow diagram of the present invention;
FIG. 2 is a flow chart of the shared personnel identity verification unit of the present invention;
FIG. 3 is a flow chart of the experimental data landmark information extraction unit of the present invention;
FIG. 4 is a flowchart of an experimental data update unit according to the present invention.
The various reference numbers in the figures mean:
10. a shared personnel identity information acquisition unit;
20. a shared personnel identity verification unit; 210. a shared personnel data information providing module; 220. a symbolic information comparison module; 230. a comparison data output module;
30. an experimental data symbolic information extraction unit; 310. the whole experiment data screening module; 320. a symbolic information identification module; 330. a new and old symbolic information replacement module;
40. a shared person identity verification unit;
50. an experimental data sharing unit;
60. an experiment data updating unit; 610. an update data identification module; 620. an error data eliminating module;
70. and updating the data identification recognition unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1 to 4, a sharing intelligent laboratory system based on correlation analysis data secret transmission is provided, which includes a sharing personnel identity information acquisition unit 10, the sharing personnel identity information acquisition unit 10 is configured to receive personnel identity information and inspection information to be shared, an output end of the sharing personnel identity information acquisition unit 10 is connected to a sharing personnel identity verification unit 20, an input end of the sharing personnel identity verification unit 20 is connected to an experimental data symbolic information extraction unit 30, an input end of the experimental data symbolic information extraction unit 30 is connected to an experimental data sharing unit 50, the experimental data sharing unit 50 is configured to store experimental data, the experimental data symbolic information extraction unit 30 is configured to analyze and process experimental data stored by the experimental data sharing unit 50 to obtain symbolic information in the experimental data, and transmit the symbolic information in the experimental data to the sharing personnel identity verification unit 20, an output end of the sharing personnel identity verification unit 20 is connected to a sharing personnel identity verification identity unit 40, and an output end of the sharing personnel identity verification identity unit 40 is connected to an input end of the experimental data sharing unit 50.
When the sharing data verification system is used, the sharing personnel identity information acquisition unit 10 receives personnel identity information and inspection information which need to be shared, the shared personnel identity information is transmitted to the sharing personnel identity verification unit 20, meanwhile, the experimental data symbolic information extraction unit 30 extracts the experimental data symbolic information stored in the experimental data sharing unit 50 and transmits the symbolic information to the sharing personnel identity verification unit 20, the sharing personnel identity verification unit 20 verifies the identity of the shared personnel, the sharing personnel needs to provide verification information which is considered to be most consistent with the experimental data, the experimental data symbolic information is compared through the sharing personnel identity verification unit 20, after the verification information is compared with the experimental data symbolic information, the sharing personnel is judged to be relevant to the experiment, judgment information is generated, the judgment information is transmitted to the sharing personnel identity verification unit 40, the sharing personnel identity is identified through the sharing personnel identity verification unit 40, at this time, the experimental data sharing unit 50 receives the sharing personnel identity information from the sharing personnel identity unit 40, the verification information provides the verification data for the completed sharing personnel, thereby realizing the verification of the shared personnel, the verification of the internal experimental data verification, and avoiding the occurrence of irrelevant experimental data sharing from entering the experimental data sharing system.
In addition, the shared personnel identity verification unit 20 includes a shared personnel data information providing module 210, the shared personnel data information providing module 210 is used for collecting verification information provided by shared personnel, an output end of the shared personnel data information providing module 210 is connected with a symbolic information comparison module 220, the symbolic information comparison module 220 is used for comparing the verification information provided by the shared personnel with the symbolic information in the experimental data, and an output end of the symbolic information comparison module 220 is connected with a comparison data output module 230. When the system is used specifically, the shared person data information providing module 210 collects the verification information provided by the shared person, and transmits the verification information provided by the shared person to the symbolic information comparison module 220, the symbolic information comparison module 220 compares the verification information provided by the shared person with the symbolic information in the experimental data to generate comparison data information, and transmits the comparison data information to the comparison data output module 230, and the comparison data output module 230 integrates the comparison data information and outputs the integrated comparison data information, so that the shared person identity verification unit 40 performs identity verification.
Further, the shared personnel identity verification unit 20 adopts an identity verification algorithm, and the algorithm formula is as follows:
A＝[a 1 ，a 2 ，…，a n ]；
B＝[b 1 ，b 2 ，…，b m ]；
wherein A is a data cluster set of symbolic information in experimental data, a 1 To a n For each data cluster of the symbolic information in the experimental data, B for the data cluster set of the verification information provided by the sharing personnel, B 1 To b m Respective data clusters of check information provided for sharing personnel, f (b) 0 ) A mapping equation of a data cluster set B of the verification information provided for the sharing personnel and a data cluster set A of the symbolic information in the experimental data, B 0 The similarity rate c is a similarity rate threshold value when the similarity rate b is 0 When the similarity rate is not less than the similarity rate threshold value c, the mapping equation f (b) 0 ) And the output is 1, the data cluster set B indicating the verification information provided by the sharing personnel is related to the data cluster set A of the symbolic information in the experimental data, and the sharing personnel is judged to be the target personnel provided by the experimental data.
Still further, the experimental data symbolic information extraction unit 30 includes an overall experimental data screening module 310, the overall experimental data screening module 310 is used for screening the experimental data, and an output end of the overall experimental data screening module 310 is connected with a symbolic information identification module 320. When the system is used specifically, the whole experimental data screening module 310 analyzes and processes the whole experimental data, classifies different data according to the occurrence frequency of the experimental data, generates classified information, transmits the classified information to the symbolic information identification module 320, and uses the data with the highest occurrence frequency of the experimental data as the symbolic information through the symbolic information identification module 320 so as to perform identity verification on sharing personnel at a later stage.
Specifically, the output end of the experiment data sharing unit 50 is connected with the experiment data updating unit 60, the output end of the experiment data updating unit 60 is connected with the input end of the experiment data sharing unit 50, and the experiment data updating unit 60 is used for providing experiment updating data for the experiment data sharing unit 50. In the experimental process, the experimental data are continuously updated, and the updated data influence the symbolic information, so that the updated data are extracted by the experimental data updating unit 60 and transmitted to the experimental data sharing unit 50, the symbolic information is updated in time, and the timeliness of the symbolic information is improved.
In addition, the experiment data updating unit 60 includes an update data identification module 610, an error data removing module 620 is connected to an output end of the update data identification module 610, and the error data removing module 620 is configured to remove error data in the updated experiment data. During specific use, the updated data identification module 610 identifies and processes updated experimental data, transmits the identified updated data to the experimental data sharing unit 50, compares the identified updated data with the overall data stored in the experimental data sharing unit 50 to generate comparison information, transmits the comparison information to the error data rejection module 620, analyzes the compared overall data through the error data rejection module 620, rejects error data and redundant data therein, ensures the integrity of the overall data stored in the experimental data sharing unit 50, and avoids data collision, which causes difficulty in identifying data content.
Further, the output end of the experiment data updating unit 60 is connected with an updated data identification recognition unit 70, the input end of the updated data identification recognition unit 70 is connected with the output end of the experiment data sharing unit 50, and the updated data identification recognition unit 70 is used for recognizing the experiment data identification stored in the experiment data sharing unit 50. When the experimental data updating device is used specifically, the experimental data sharing unit 50 transmits the stored experimental data to the updated data identification degree recognition unit 70, the updated data identification degree recognition unit 70 recognizes the experimental data related to the symbolic information, and judges the identification degree of each experimental data and the symbolic information, that is, the association degree with the symbolic information, when the data related to the symbolic information appears in the later updated experimental data, whether the updated data can affect the updating of the symbolic information can be judged, if the association is low, the data with the highest occurrence frequency of the experimental data needs to be judged again, if the association is high, the content of the updated data is close to that of the original symbolic information, the data with the highest occurrence frequency of the experimental data does not need to be judged again, the operation flow is reduced, and the efficiency of judging the symbolic information is improved.
Still further, the output terminal of the update data identification recognition unit 70 is connected to the input terminal of the experimental data symbolic information extraction unit 30. When the correlation between the updated data determined by the updated data identification degree identifying unit 70 and the original symbolic information is low, the data with the highest occurrence frequency of the experimental data needs to be determined again, and when the repetition frequency of a certain item of distinguishing data appearing in the updated data is higher than the occurrence frequency of the original symbolic information, the distinguishing data is the symbolic information in the updated experimental data, and the symbolic information is directly transmitted to the experimental data symbolic information extracting unit 30 for the replacement of the symbolic information.
In addition, the output end of the symbolic information identification module 320 is connected to the old and new symbolic information replacement module 330, and the input end of the old and new symbolic information replacement module 330 is connected to the output end of the updated data identification recognition unit 70. When the system is used specifically, the updated data identification degree recognition unit 70 transmits the symbolic information in the updated experimental data to the new and old symbolic information replacement module 330, deletes the original symbolic information through the new and old symbolic information replacement module 330, and uses the symbolic information in the updated experimental data as new symbolic information, which is used as a standard for judging sharing personnel, so as to improve the timeliness of the symbolic information of the experimental data.
The foregoing shows and describes the general principles, principal features, and advantages of the invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention, and that various changes and modifications may be made without departing from the spirit and scope of the present invention, which fall within the scope of the claimed invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. The intelligent shared laboratory system based on the secret transmission of correlation analysis data comprises a shared personnel identity information acquisition unit (10), wherein the shared personnel identity information acquisition unit (10) is used for receiving personnel identity information and inspection information which need to be shared, and the intelligent shared laboratory system is characterized in that: the output end of the sharing personnel identity information acquisition unit (10) is connected with a sharing personnel identity verification unit (20), the input end of the sharing personnel identity verification unit (20) is connected with an experimental data symbolic information extraction unit (30), the input end of the experimental data symbolic information extraction unit (30) is connected with an experimental data sharing unit (50), the experimental data sharing unit (50) is used for storing experimental data, the experimental data symbolic information extraction unit (30) is used for analyzing and processing the experimental data stored by the experimental data sharing unit (50) to obtain symbolic information in the experimental data, and transmitting the symbolic information in the experimental data to the sharing personnel identity verification unit (20), the output end of the sharing personnel identity verification unit (20) is connected with a sharing personnel identity verification unit (40), and the output end of the sharing personnel identity verification unit (40) is connected with the input end of the experimental data sharing unit (50).
2. The system of claim 1, wherein the shared intelligent laboratory system for secure transmission of correlation analysis data comprises: shared personnel identity verification unit (20) include shared personnel data information provide module (210), shared personnel data information provide module (210) are used for gathering the verification information that shared personnel provided, shared personnel data information provide module (210) output is connected with symbolic information and compares module (220), symbolic information compares module (220) and is arranged in comparing the verification information that shared personnel provided with symbolic information in the experimental data, the output of symbolic information compares module (220) and is connected with and compares data output module (230).
3. The system of claim 2, wherein the shared intelligent laboratory system for secure transmission of correlation analysis data comprises: the shared personnel identity verification unit (20) adopts an identity verification algorithm, and the algorithm formula is as follows:
A＝[a 1 ，a 2 ，…，a n ]；
B＝[b 1 ，b 2 ，…，b m ]；
wherein A is a data cluster set of symbolic information in experimental data, a 1 To a n For each data cluster of the symbolic information in the experimental data, B for the data cluster set of the verification information provided by the sharing personnel, B 1 To b m Respective data clusters of check information provided for sharing personnel, f (b) 0 ) A mapping equation of a data cluster set B of the verification information provided for the sharing personnel and a data cluster set A of the symbolic information in the experimental data, B 0 The similarity rate c is a similarity rate threshold value when the similarity rate b is 0 When the similarity is not less than the similarity threshold c, the mapping equation f (b) 0 ) With an output of 1, indicating verification information provided by the sharerAnd the data cluster set B is related to the data cluster set A of the symbolic information in the experimental data, and the sharing personnel is judged to be the target personnel provided by the experimental data.
4. The system of claim 1, wherein the shared intelligent laboratory system for secure transmission of correlation analysis data comprises: the experimental data symbolic information extraction unit (30) comprises an overall experimental data screening module (310), the overall experimental data screening module (310) is used for screening experimental data, and the output end of the overall experimental data screening module (310) is connected with a symbolic information identification module (320).
5. The system of claim 1, wherein the shared intelligent laboratory system for secure transmission of correlation analysis data comprises: the experimental data sharing unit (50) output is connected with experimental data updating unit (60), experimental data updating unit (60) output with experimental data sharing unit (50) input is connected, experimental data updating unit (60) are used for providing experimental updating data to experimental data sharing unit (50).
6. The system of claim 5, wherein the shared intelligent laboratory system for secure transmission of correlation analysis data comprises: the experimental data updating unit (60) comprises an updating data identification module (610), the output end of the updating data identification module (610) is connected with an error data removing module (620), and the error data removing module (620) is used for removing error data in the updated experimental data.
7. The system of claim 6, wherein the shared intelligent laboratory system for secure transmission of correlation analysis data comprises: the experimental data update unit (60) output is connected with update data identification degree recognition unit (70), update data identification degree recognition unit (70) input with experimental data sharing unit (50) output is connected, update data identification degree recognition unit (70) are used for carrying out identification processing to the experimental data identification degree of experimental data sharing unit (50) storage.
8. The system of claim 7, wherein the shared intelligent laboratory system for secure transmission of correlation analysis data comprises: the output end of the updated data identification degree recognition unit (70) is connected with the input end of the experimental data symbolic information extraction unit (30).
9. The system of claim 4, wherein the shared intelligent laboratory system for secure transmission of correlation analysis data comprises: the output end of the symbolic information identification module (320) is connected with a new and old symbolic information replacement module (330), and the input end of the new and old symbolic information replacement module (330) is connected with the output end of the updated data identification recognition unit (70).
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| US10554406B1 (en) * | 2019-06-04 | 2020-02-04 | Capital One Services, Llc | Authorized data sharing using smart contracts |
| CN113904822A (en) * | 2021-09-28 | 2022-01-07 | 则正(上海)生物科技有限公司 | Laboratory management system based on block chain |
| CN114490625A (en) * | 2022-04-06 | 2022-05-13 | 深圳嘉麟科技有限责任公司 | Artificial intelligence public data platform capable of automatically updating and removing redundancy based on big data processing |
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