CN115545679A - Experimental data matching method and device, computer equipment and storage medium - Google Patents
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Abstract
The application provides an experimental data matching method, an experimental data matching device, computer equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring a sample list and an experiment report of a target sample, wherein the sample list comprises at least one mark; each marker is used to indicate a sample; analyzing the experiment report of the target sample, and determining the identification of the target sample and the experiment result of the target sample; matching at least one mark with the mark of the target sample, and determining a target mark matched with the mark of the target sample; and adding the experimental result of the sample corresponding to the target mark in the sample list. The method and the device can improve the management efficiency and the management effect of the experimental data.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an experimental data matching method, an experimental data matching device, computer equipment and a storage medium.
Background
In the current medical laboratory, the number of samples is large, the number of sample experiment reports generated by experiments is large, and the experiment results and the samples need to be matched.
In the existing scheme, the experimental result and the sample are often matched manually, but the manual matching has low working efficiency, the work is easy to generate errors, and the management of the sample is not facilitated.
Disclosure of Invention
The present invention provides an experimental data matching method, device, computer equipment and storage medium to improve the management efficiency and effect of experimental data.
In order to achieve the above purpose, the embodiments of the present application adopt the following technical solutions:
in a first aspect, an embodiment of the present application provides an experimental data matching method, where the method includes:
acquiring a sample list and an experimental report of a target sample, wherein the sample list comprises at least one identifier; each label is used to indicate a sample;
analyzing the experiment report of the target sample, and determining the identification of the target sample and the experiment result of the target sample;
matching the at least one identifier with the identifier of the target sample, and determining a target identifier matched with the identifier of the target sample;
and adding the experimental result of the sample corresponding to the target mark in the sample list.
Optionally, the sample list further includes: each mark corresponds to a sample state; the method further comprises the following steps:
and adding the sample state corresponding to the target identifier in the sample list.
Optionally, before the matching the at least one identifier with the identifier of the target sample and determining the target identifier matching the identifier of the target sample, the method further includes:
selecting a partial marker from the at least one marker for which the sample status is not updated;
the matching the at least one identifier with the identifier of the target sample and determining the target identifier matching the identifier of the target sample comprises:
and matching the part identification with the identification of the target sample, and determining the target identification matched with the identification of the target sample.
Optionally, the analyzing the experiment report of the target sample, and determining the identifier of the target sample and the experiment result of the target sample, includes:
and carrying out keyword extraction on the experiment report of the target sample, and determining the identification of the target sample and the experiment result of the target sample.
Optionally, the method further includes:
and if the analysis of the experiment report of the target sample fails, generating prompt information, wherein the prompt information is used for indicating that the content of the experiment report of the target sample is wrong.
Optionally, after the at least one identifier is matched with the identifier of the target sample and the target identifier matching with the identifier of the target sample is determined, the method further includes:
storing the analyzed experiment report of the target sample in a preset folder, and determining a storage path;
and adding an experiment report storage path of the sample corresponding to the target identification in the sample list.
Optionally, the storing the analyzed experiment report of the target sample in a preset folder, and determining a storage path includes:
compressing the experimental report of the target sample;
and uploading the experiment report of the compressed target sample to the preset folder.
In a second aspect, an embodiment of the present application further provides an experimental data matching apparatus, where the apparatus includes:
the acquisition module is used for acquiring a sample list and an experimental report of a target sample, wherein the sample list comprises at least one identifier; each marker is used to indicate a sample;
the analysis module is used for analyzing the experiment report of the target sample and determining the identification of the target sample and the experiment result of the target sample;
the matching module is used for matching the at least one identifier with the identifier of the target sample and determining a target identifier matched with the identifier of the target sample;
and the adding module is used for adding the experimental result of the sample corresponding to the target identifier in the sample list.
Optionally, the sample list further includes: each identification corresponds to a sample state; the method adding module is further used for adding the sample state corresponding to the target identifier in the sample list.
Optionally, the apparatus further comprises:
a selection module for selecting a partial identifier from the at least one identifier for which the sample status has not been updated;
the matching module is specifically configured to match the part identifier with the identifier of the target sample, and determine a target identifier that matches the identifier of the target sample.
Optionally, the parsing module is specifically configured to perform keyword extraction on the experiment report of the target sample, and determine the identifier of the target sample and the experiment result of the target sample.
Optionally, the analysis module is further configured to generate a prompt message if the analysis of the experiment report of the target sample fails, where the prompt message is used to indicate that the content of the experiment report of the target sample is incorrect.
Optionally, the apparatus further comprises:
the storage module is used for storing the analyzed experiment report of the target sample in a preset folder and determining a storage path;
the adding module is further configured to add an experimental report storage path of the sample corresponding to the target identifier in the sample list.
Optionally, the storage module includes:
the compressing unit is used for compressing the experiment report of the target sample;
and the storage unit is used for uploading the compressed experiment report of the target sample to the preset folder.
In a third aspect, an embodiment of the present application further provides a computer device, including: a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, when the computer device runs, the processor and the storage medium communicate with each other through the bus, and the processor executes the program instructions to execute the steps of the experimental data matching method according to any one of the first aspect.
In a fourth aspect, embodiments of the present application further provide a computer-readable storage medium, where the storage medium stores a computer program, and the computer program is executed by a processor to perform the steps of the experimental data matching method according to any one of the first aspect.
The beneficial effect of this application is:
the application provides an experimental data matching method, an experimental data matching device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring a sample list and an experiment report of a target sample, wherein the sample list comprises at least one mark; each label is used to indicate a sample; analyzing the experiment report of the target sample, and determining the identification of the target sample and the experiment result of the target sample; matching at least one mark with the mark of the target sample, and determining a target mark matched with the mark of the target sample; and adding the experimental result of the sample corresponding to the target mark in the sample list. This application is through analyzing the experiment report to target sample to match the sign in target sample's sign and the sample list, in order to increase the experimental result that target sign corresponds the sample in the sample list, realize the automatic matching of experimental result and sample, improve work efficiency, avoid makeing mistakes.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an experimental data matching system according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of an experimental data matching method according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart of another experimental data matching method provided in the embodiments of the present application;
FIG. 4 is a schematic flow chart of another experimental data matching method provided in the embodiments of the present application;
fig. 5 is a schematic structural diagram of an experimental data matching apparatus according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention.
Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Furthermore, the terms "first," "second," and the like in the description and in the claims, as well as in the drawings, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the features of the embodiments of the present application may be combined with each other without conflict.
Before the experimental data matching method, the experimental data matching device, the computer device, and the storage medium provided in the embodiments of the present application are described in detail, in order to better understand the scheme of the present application, the experimental data matching system applied in the present application is described in detail.
Referring to fig. 1, a schematic structural diagram of an experimental data matching system according to an embodiment of the present disclosure is shown in fig. 1, where the experimental data matching system includes: the data processing program 11 for executing the experiment data matching method provided by the embodiment of the application, the instrument device 12 for conducting the experiment, the compression application 13 and the file server 14.
Specifically, the data processing program 11 may also be referred to as an instrument data automatic processing application, and the data processing program and the compression application 13 are both executed as computer applications in a computer device that is communicatively connected to the instrument device 12 and the file server 14. The data processing program 11 and the compression application program 13 may run in the same computer device or different computer devices, the two computer devices are also connected by a program, and the data processing program 11 may call the compression application program 13 to compress the experiment report when executing the experiment data matching method. The computer device is in communication connection with the instrument device 12 to obtain the sample list and the experiment report in the instrument device 12, and the computer device is in communication connection with the file server 14 to upload the compressed experiment report to the file server 14 for storage.
The sample list in the instrument 12 may be a manually maintained spreadsheet, or a form generated by the sample registration system according to the registered samples, or of course, the sample list may be obtained by analyzing the experiment log of the instrument 30. The experimental reports in the instrument device 12 may be stored in a shared data folder from which the data processing program 11 retrieves the experimental reports by granting access to the data processing program 11.
Based on the above experimental data matching system, embodiments of the present application provide an experimental data matching method, apparatus, computer device, and storage medium.
Referring to fig. 2, a schematic flow chart of an experimental data matching method provided in an embodiment of the present application is shown in fig. 2, where the method may include:
s10: acquiring a sample list and an experiment report of a target sample, wherein the sample list comprises at least one mark; each label is used to indicate one sample.
In this embodiment, after the computer device and the instrument device are successfully connected in a communication manner, a data processing program is started in the computer device, a sample list is read from the instrument device through the data processing program, and an experimental report of a target sample is obtained from a shared data folder of the instrument device, where at least one sample identifier is registered in the sample list, and each identifier represents one sample.
For example, the sample list may be generated in the following manner: manually registering, by the experimenter, the electronic form generated by the identification of the sample in the instrument device; the following steps can be also included: the laboratory staff scans the identification of the sample by adopting scanning equipment, and automatically registers the identification identified by the scanning equipment in an electronic form generated in a sample sending registration system of instrument equipment; the method can also comprise the following steps: and analyzing the experiment log to generate a sample list according to the experiment log generated by the experiment of the instrument equipment on the sample. The sample list is generated in a manner that is not limited in this application.
The experimental report is a report which is generated by the instrument and equipment for inspecting a sample, determining the original data of the inspected sample, analyzing the original data of the sample to determine the experimental result and combining the original data of the sample and the experimental result. After the instrument device completes the examination of the sample to generate the experiment report, the experiment report is stored in the shared data folder, and the data processing program accesses the shared data folder to obtain the experiment report. In an example, an experiment report template is preset in the instrument, and after the instrument tests a sample, the original data and the experiment result of the tested sample are respectively filled in the experiment report template to generate an experiment report.
In an optional embodiment, before the data processing program obtains the experiment report from the shared data folder, the computer device where the data processing program is located adopts a preset local area network protocol, and is in communication connection with the shared data folder of the instrument device through an Ethernet in the enterprise, a state value returned by the local area network protocol is judged, and if the state value is a normal value, the data processing program is prompted to be successfully connected with the instrument device; if the state value is an abnormal value, the data processing program is prompted to fail to be connected with the instrument equipment, and whether the Ethernet connected with the instrument equipment is normal or not needs to be checked. As an example, the lan protocol may be, for example: the Network is based on the Input/Output System (NetBIOS) protocol.
In an alternative embodiment, if the sample list is an empty list, i.e. the sample list does not contain any identifier, the data processing program ends the program processing step and waits for the next acquisition of the sample list.
In another alternative embodiment, if the number of the experiment reports in the shared data file is zero, that is, the shared data file is an empty folder, the data processing program ends the program processing step and waits for the next acquisition of the experiment report.
S20: and analyzing the experimental report of the target sample, and determining the identification of the target sample and the experimental result of the target sample.
In this embodiment, when it is determined that the sample list is not an empty list and the shared data folder is not an empty folder, the data processing program parses the experiment report of the target sample, and determines the identifier of the target sample and the experiment result of the target sample registered in the experiment report. The experimental result can be a conclusion obtained by performing experimental analysis on the sample. For example, the experimental result may be only an accurate conclusion of negative, positive, etc., or may be a possible conclusion obtained by analyzing the raw data of the sample.
In an alternative embodiment, the parsing the test report of the target sample in S20 to determine the identity of the target sample and the test result of the target sample includes:
and extracting keywords from the experiment report of the target sample, and determining the identification of the target sample and the experiment result of the target sample.
In this embodiment, a preset keyword extraction technology is adopted to identify characters in an experiment report of a target sample, so as to determine keywords related to an identifier and an experiment result, thereby determining the identifier of the target sample and the experiment result of the target sample from the experiment report of the target sample. For example, the Format of the experiment report is a Portable Document Format (PDF), and characters in the experiment report may be recognized by using a Character Recognition method (OCR) to determine the identity of the target sample and the experiment result of the target sample.
In an alternative embodiment, the process of parsing the target sample's experimental report further comprises:
and if the analysis of the experiment report of the target sample fails, generating prompt information, wherein the prompt information is used for indicating that the content of the experiment report of the target sample is wrong.
Specifically, the analysis failure refers to that the identifier of the target sample and/or the experimental result of the target sample are not obtained through analysis from the experimental report of the target sample, the analysis failure is used for indicating that an error occurs in the experimental report generated after the target sample is subjected to an experiment by the instrument and equipment, and under the condition of analysis failure, the content of the experimental report of the target sample of the experimenter is indicated to have an error through generating prompt information, so that the experimenter needs to manually modify the experimental report according to the experimental log to generate a correct report, and the correct experimental report is stored in the shared data folder for matching after the data processing program obtains the experimental report again.
S40: and matching the at least one identifier with the identifier of the target sample, and determining the target identifier matched with the identifier of the target sample.
In this embodiment, at least one identifier in the sample list is matched with an identifier of the target sample, and an identifier matching the identifier of the target sample is determined as the target identifier from the at least one identifier in the sample list.
S50: and adding the experimental result of the sample corresponding to the target mark in the sample list.
In this embodiment, after the identifier of the target sample is matched with the target identifier in the sample list, the experimental result of the sample corresponding to the target identifier is added to the sample list, so that an experimenter can determine the experimental result of each sample through the sample list.
For example, the sample list includes an identification registration column and an experiment result recording column, where the identification registration column is used to manually and automatically register an identification of each sample, the content of the experiment result recording column is empty before the experiment result is not recorded, and after the identification of the target sample is matched with the target identification in the identification registration column, the experiment result is registered in the experiment result recording column corresponding to the target identification.
In an optional embodiment, after the step of completing the identification matching and registration of all the experiment reports obtained from the shared data folder and ending the experiment data matching method, the data processing program is automatically triggered again at preset time intervals to execute the steps of S10-S50, and the experiment data matching method is performed again. For example, the preset time interval may be 5 minutes.
According to the experimental data matching method provided by the embodiment, the sample list and the experimental report of the target sample are obtained, wherein the sample list comprises at least one identifier; each marker is used to indicate a sample; analyzing the experiment report of the target sample, and determining the identification of the target sample and the experiment result of the target sample; matching the at least one identifier with the identifier of the target sample, and determining a target identifier matched with the identifier of the target sample; and adding the experimental result of the sample corresponding to the target mark in the sample list. According to the embodiment, the experiment report of the target sample is analyzed, so that the identification of the target sample is matched with the identification in the sample list, the experiment result of the sample corresponding to the target identification is added in the sample list, the automatic matching of the experiment result and the sample is realized, the working efficiency is improved, and mistakes are avoided.
In an alternative embodiment, the sample list further includes: each mark corresponds to a sample state; the method further comprises the following steps: and adding a sample state corresponding to the target identifier in the sample list.
In this embodiment, the sample list further includes: and a sample state recording column for registering an experimental state of each sample, the experimental state of each sample being determined according to whether an experimental result of the corresponding sample is registered in the sample list. When the experimental result of the sample corresponding to the target identifier in the sample list is recorded, registering the experimental state of the sample corresponding to the target identifier as updated; and if the experimental results of the samples corresponding to the other identifiers in the sample list are not recorded, registering the experimental records of the samples corresponding to the other identifiers as not updated.
On the basis of the above embodiments, the embodiment of the present application further provides another experimental data matching method. Referring to fig. 3, a schematic flow chart of another experimental data matching method provided in this embodiment of the present application is shown in fig. 3, before the step S40 of matching at least one identifier with an identifier of a target sample and determining a target identifier matching the identifier of the target sample, the method may further include:
s30: and selecting a part identifier with the non-updated sample state from the at least one identifier.
In this embodiment, before the at least one identifier is matched with the identifier of the target sample, in order to reduce the data amount of the identifier for matching, the at least one identifier may be screened according to the sample state, so as to select a part of identifiers whose sample states are not updated from the sample list, and remove the identifiers whose sample states are updated.
The S40 may include:
s41: and matching the part of the identification with the identification of the target sample, and determining the target identification matched with the identification of the target sample.
In this embodiment, the partial identifier whose sample state after being screened is updated is matched with the identifier of the target sample, and the identifier matched with the identifier of the target sample is determined from the partial identifier as the target identifier.
The experimental data matching method provided in the above embodiment selects a part of identifiers whose sample states are not updated from at least one sample, matches the part of identifiers with identifiers of target samples, determines target identifiers matched with the identifiers of the target samples, and adds experimental results of the samples corresponding to the target identifiers in a sample list. According to the embodiment, the sample identification is screened according to the sample state, so that the data volume is reduced when identification matching is carried out, and the matching efficiency is improved.
On the basis of the above embodiments, the embodiments of the present application further provide another experimental data matching method. Referring to fig. 4, a schematic flow chart of another experimental data matching method provided in this embodiment of the present application is shown in fig. 4, where after the matching of the at least one identifier and the identifier of the target sample is performed in S40, and a target identifier matching the identifier of the target sample is determined, the method may further include:
s61: and storing the analyzed experiment report of the target sample in a preset folder, and determining a storage path.
In this embodiment, after the data processing server completes analysis of the experiment report of the target sample, the file uploading program is started, the experiment report is stored in the preset folder of the file server, and a storage path of the experiment report in the preset folder of the file server is determined.
In an optional embodiment, the computer equipment where the data processing program is located adopts a preset local area network protocol, is in communication connection with the file server through an ethernet network in the enterprise, judges a status value returned by the local area network protocol, and prompts the data processing program to be successfully connected with the file server if the status value is a normal value; if the state value is an abnormal value, the data processing program is prompted to fail to be connected with the file server, and whether the Ethernet connected with the file server is normal or not needs to be checked. As an example, the lan protocol may be, for example: netBIOS protocol.
S62: and adding an experimental report storage path of the sample corresponding to the target identification in the sample list.
In this embodiment, the sample list further includes: and the storage path column is used for registering the storage path of the experiment report of each sample, and after the experiment report of the target sample is stored in the preset folder, the storage path of the experiment report of the target representation corresponding sample is added in the sample list, so that an experimenter can acquire and view the experiment report of the target sample based on the storage path of the experiment report.
In a possible implementation manner, the storing the analysis-completed experiment report of the target sample in a preset folder in S61, and determining the storage path may include:
compressing the experiment report of the target sample, and uploading the compressed experiment report of the target sample to a preset folder.
In this embodiment, a file compression tool pre-installed in a computer device is called to compress an experiment report of a target sample, after a data processing program is successfully connected with a file server, a file uploading program uploads the compressed experiment report of the target sample to a preset folder of the file server, and after the experiment report of the target sample is successfully uploaded, the experiment data matching process is ended, and a next experiment report is matched. For example, the file compression tool may compress the experiment report into a compressed file package of a predetermined format, such as a ZIP file package.
And if the communication interruption occurs in the uploading process, after the communication is recovered to be normal, the experimental report which is being uploaded before the communication interruption is uploaded again.
According to the experimental data matching method provided by the embodiment, the analyzed experimental report of the target sample is stored in the preset folder, the storage path is determined, and the experimental report storage path of the sample corresponding to the target identifier is added in the sample list, so that an experimenter can check the experimental report through the storage path recorded in the sample list, manual backup is avoided, the working efficiency is improved, and omission and loss of the experimental report are avoided.
In a second aspect, an embodiment of the present application further provides an experimental data matching device. Referring to fig. 5, a schematic structural diagram of an experimental data matching apparatus according to an embodiment of the present application is shown in fig. 5, where the apparatus includes:
the acquisition module 101 is configured to acquire a sample list and an experimental report of a target sample, where the sample list includes at least one identifier; each marker is used to indicate a sample;
the analysis module 102 is configured to analyze the experiment report of the target sample, and determine an identifier of the target sample and an experiment result of the target sample;
the matching module 103 is configured to match the at least one identifier with the identifier of the target sample, and determine a target identifier matching the identifier of the target sample;
and an adding module 104, configured to add, in the sample list, an experiment result of the sample corresponding to the target identifier.
Optionally, the sample list further includes: each mark corresponds to a sample state; the adding module 104 is further configured to add a sample state corresponding to the target identifier in the sample list.
Optionally, the apparatus further comprises:
a selection module for selecting a part of the identifiers from the at least one identifier, the part of the identifiers having an updated sample status;
the matching module 103 is specifically configured to match the part identifier with the identifier of the target sample, and determine a target identifier matching the identifier of the target sample.
Optionally, the parsing module 102 is specifically configured to perform keyword extraction on the experiment report of the target sample, and determine the identifier of the target sample and the experiment result of the target sample.
Optionally, the analysis module 102 is further configured to generate a prompt message if the analysis of the experiment report of the target sample fails, where the prompt message is used to indicate that the content of the experiment report of the target sample is wrong.
Optionally, the apparatus further comprises:
the storage module is used for storing the analyzed experiment report of the target sample in a preset folder and determining a storage path;
and the adding module 104 is further configured to add an experiment report storage path of the sample corresponding to the target identifier in the sample list.
Optionally, the storage module includes:
the compression unit is used for compressing the experiment report of the target sample;
and the storage unit is used for uploading the compressed experiment report of the target sample to a preset folder.
The above-mentioned apparatus is used for executing the method provided by the foregoing embodiment, and the implementation principle and technical effect are similar, which are not described herein again.
The above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors, or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. As another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Referring to fig. 6, a schematic diagram of a computer device according to an embodiment of the present application is shown in fig. 6, where the computer device 200 includes: the method comprises the following steps: a processor 201, a storage medium 202 and a bus, the storage medium 202 storing program instructions executable by the processor 201, when the computer device 200 is running, the processor 201 and the storage medium 202 communicating via the bus, the processor 201 executing the program instructions to perform the above-mentioned method embodiments. The specific implementation and technical effects are similar, and are not described herein again.
Optionally, the present invention also provides a program product, such as a computer-readable storage medium, having a computer program stored thereon, which, when being executed by a processor, is adapted to carry out the above-mentioned method embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for matching experimental data, the method comprising:
acquiring a sample list and an experiment report of a target sample, wherein the sample list comprises at least one mark; each label is used to indicate a sample;
analyzing the experiment report of the target sample, and determining the identification of the target sample and the experiment result of the target sample;
matching the at least one identifier with the identifier of the target sample, and determining a target identifier matched with the identifier of the target sample;
and adding the experimental result of the sample corresponding to the target mark in the sample list.
2. The method of claim 1, wherein the sample list further comprises: each mark corresponds to a sample state; the method further comprises the following steps:
and adding a sample state corresponding to the target identifier in the sample list.
3. The method of claim 2, wherein prior to matching the at least one identifier with the identifier of the target sample and determining a target identifier that matches the identifier of the target sample, the method further comprises:
selecting a partial marker from the at least one marker for which the sample status is not updated;
the matching the at least one identifier with the identifier of the target sample and determining the target identifier matching with the identifier of the target sample comprises:
and matching the part of the identification with the identification of the target sample, and determining the target identification matched with the identification of the target sample.
4. The method of claim 1, wherein the parsing the target sample's assay report to determine the target sample's identity and the target sample's assay result comprises:
and carrying out keyword extraction on the experiment report of the target sample, and determining the identification of the target sample and the experiment result of the target sample.
5. The method of claim 1, wherein the method further comprises:
and if the analysis of the experiment report of the target sample fails, generating prompt information, wherein the prompt information is used for indicating that the content of the experiment report of the target sample is wrong.
6. The method of claim 1, wherein after matching the at least one identifier with the identifier of the target sample and determining a target identifier that matches the identifier of the target sample, the method further comprises:
storing the analyzed experiment report of the target sample in a preset folder, and determining a storage path;
and adding an experiment report storage path of the sample corresponding to the target identification in the sample list.
7. The method of claim 6, wherein the step of storing the analyzed test report of the target sample in a preset folder and determining a storage path comprises:
compressing the experimental report of the target sample;
and uploading the experiment report of the compressed target sample to the preset folder.
8. An experimental data matching apparatus, said apparatus comprising:
the acquisition module is used for acquiring a sample list and an experimental report of a target sample, wherein the sample list comprises at least one identifier; each marker is used to indicate a sample;
the analysis module is used for analyzing the experiment report of the target sample and determining the identification of the target sample and the experiment result of the target sample;
the matching module is used for matching the at least one identifier with the identifier of the target sample and determining a target identifier matched with the identifier of the target sample;
and the adding module is used for adding the experimental result of the sample corresponding to the target identifier in the sample list.
9. A computer device, comprising: a processor, a storage medium and a bus, the storage medium storing program instructions executable by the processor, the processor and the storage medium communicating via the bus when the computer device is running, the processor executing the program instructions to perform the steps of the experimental data matching method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the experimental data matching method according to any one of claims 1 to 7.
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| CN202211504890.0A CN115545679A (en) | 2022-11-29 | 2022-11-29 | Experimental data matching method and device, computer equipment and storage medium |
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| CN202211504890.0A CN115545679A (en) | 2022-11-29 | 2022-11-29 | Experimental data matching method and device, computer equipment and storage medium |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101216832A (en) * | 2007-12-28 | 2008-07-09 | 腾讯科技（深圳）有限公司 | Data synchronization process and device |
| CN111738673A (en) * | 2020-05-28 | 2020-10-02 | 西安交通大学 | Experimental data acquisition management system and method |
| CN115346686A (en) * | 2022-08-12 | 2022-11-15 | 医渡云（北京）技术有限公司 | Relation map generation method and device, storage medium and electronic equipment |
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- 2022-11-29 CN CN202211504890.0A patent/CN115545679A/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101216832A (en) * | 2007-12-28 | 2008-07-09 | 腾讯科技（深圳）有限公司 | Data synchronization process and device |
| CN111738673A (en) * | 2020-05-28 | 2020-10-02 | 西安交通大学 | Experimental data acquisition management system and method |
| CN115346686A (en) * | 2022-08-12 | 2022-11-15 | 医渡云（北京）技术有限公司 | Relation map generation method and device, storage medium and electronic equipment |
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Application publication date: 20221230 |