CN117666507A - MES-based digital laboratory management method, system and medium - Google Patents
MES-based digital laboratory management method, system and medium Download PDFInfo
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Abstract
The embodiment of the application provides a digital laboratory management method, system and medium based on MES, wherein the method comprises the following steps: acquiring parameters of all detection instruments in a laboratory, and generating functional information of the detection instruments according to the parameters; obtaining a detection sample, numbering the detection sample to obtain a matched bar code; acquiring detection request information of a detection sample, and generating a detection item according to the detection request information; matching the detection items with the functional information of the detection instrument to obtain detection matching degree; arranging detection instruments with detection matching degree larger than or equal to a preset matching degree threshold according to the sequence of detection items, and generating detection data of corresponding detection items through the detection instruments; generating a comprehensive detection report from the detection data according to a preset format; the detection items of the detection samples are matched, so that a detection instrument is flexibly selected to detect the samples, and a detection report is dynamically generated, thereby realizing intelligent management of a laboratory.
Description
Technical Field
The application relates to the field of laboratory management, in particular to a digital laboratory management method, system and medium based on MES.
Background
The MES system is a production informatization management system facing the workshop execution layer of a manufacturing enterprise. The MES can provide management modules for enterprises, including manufacturing data management, planning and scheduling management, production scheduling management, inventory management, quality management, human resource management, work center/equipment management, tool tooling management, purchasing management, cost management, project signboard management, production process control, bottom layer data integration analysis, upper layer data integration decomposition and the like, and a solid, reliable, comprehensive and feasible manufacturing collaborative management platform is created for the enterprises; a modern laboratory can be involved in collecting, inputting and outputting a large amount of information and data in normal management operation, and in addition, with the increase of complexity of workpieces, the improvement of operation strength of devices and the adoption of new processes or new technologies, higher requirements are put on analysis tests in terms of sample number, analysis period, analysis project, data accuracy and the like, and the original manual management mode is extremely inapplicable in such situations. In order to realize scientific and effective management of samples, instrument equipment, data information, progress and the like, a laboratory needs to break away from a traditional quality control supervision mode, a set of digital laboratory management system based on MES is established, the existing digital laboratory management cannot realize traceability of experimental data, in addition, linkage control, data safety storage and classification analysis of experimental data are difficult to carry out on various instruments and equipment in the laboratory, and an effective technical solution is needed at present.
Disclosure of Invention
The embodiment of the application aims to provide a digital laboratory management method, system and medium based on MES, which are used for flexibly selecting a detection instrument to detect samples and dynamically generating a detection report by carrying out detection item matching on the detection samples, so as to realize intelligent management of a laboratory.
The embodiment of the application also provides a digital laboratory management method based on MES, which comprises the following steps:
acquiring parameters of all detection instruments in a laboratory, and generating functional information of the detection instruments according to the parameters;
obtaining a detection sample, numbering the detection sample to obtain a matched bar code, and attaching the bar code to the detection sample;
acquiring detection request information of a detection sample, and generating a detection item according to the detection request information;
matching the detection items with the functional information of the detection instrument to obtain detection matching degree;
arranging detection instruments with detection matching degree larger than or equal to a preset matching degree threshold according to the sequence of detection items, and generating detection data of corresponding detection items through the detection instruments;
and generating a comprehensive detection report according to the detection data in a preset format, and transmitting the comprehensive detection report to the terminal.
Optionally, in the MES-based digital laboratory management method according to the embodiments of the present application, parameters of all detection apparatuses in a laboratory are obtained, and function information of the detection apparatuses is generated according to the parameters, including:
the detecting instrument comprises a torque detecting machine, a pull-up testing machine, a film thickness testing machine, a hardness testing machine and a friction detecting machine;
acquiring parameters of a detection instrument, wherein the parameters of the detection instrument comprise instrument detection items, historical use records of the detection instrument and historical detection data of the detection instrument;
analyzing the functions of the detecting instruments through the historical detecting data of the detecting instruments to obtain the function information of each detecting instrument.
Optionally, in the MES-based digital laboratory management method according to the embodiments of the present application, obtaining a detection sample, numbering the detection sample to obtain a matched barcode, and attaching the barcode to the detection sample, including:
acquiring the type and the sample parameters of the detection samples, and numbering a plurality of detection samples in sequence according to the type and the sample parameters of the detection samples;
generating a bar code according to the type and the parameters of the detection sample;
the bar codes are in one-to-one correspondence with the sample codes, and the bar codes are stuck on the matched detection samples for marking;
acquiring a disposal mode, an expiration processing mode and a retention mode of a detection sample, and generating reminding information;
binding the reminding information with the bar code, and acquiring the reminding information in real time by scanning the bar code;
the parameters of the detection sample comprise detection sample materials, detection sample shapes, detection sample sizes and detection sample use information.
Optionally, in the MES-based digital laboratory management method according to the embodiments of the present application, detecting instruments with a detection matching degree greater than or equal to a preset matching degree threshold are arranged according to a detection item sequence, and detection data corresponding to the detection items are generated by the detecting instruments, including:
acquiring a plurality of detection items of a detection sample, and detecting and sequencing the detection items to obtain a detection sequence;
sequentially starting corresponding detection instruments according to the detection sequences;
the detection instrument acquires the parameter information of the detection sample, inputs the parameter information of the detection sample into a detection model, and outputs a detection result of a corresponding detection item through the detection model;
acquiring historical detection data of a detection instrument, inputting the historical detection data into a detection model for training, and judging whether the monitoring model converges or not;
if the convergence is carried out, outputting a detection result to obtain detection data;
if the parameter is not converged, generating correction information, adjusting parameters of the detection model according to the correction information, and optimizing the detection result through the detection model after parameter adjustment.
Optionally, in the MES-based digital laboratory management method according to the embodiments of the present application, after generating, by the inspection instrument, inspection data corresponding to the inspection item, the method further includes:
acquiring detection items, selecting corresponding detection instruments according to the detection items, and detecting detection samples to obtain detection data;
checking the detection data to obtain a checking result, and recording the information of the checking staff, the distribution information of the detection items, the input information of the detection data, the information of the data checking staff and the checking information of the detection items;
integrating the auditor information, the detection project allocation information, the detection data entry information, the data review personnel information and the detection project approval information to obtain traceability data;
acquiring tracing request information, calling tracing data according to the tracing request information, and calculating data similarity;
judging whether the data similarity is larger than or equal to a preset similarity threshold value;
if the detection result is greater than or equal to the detection result, generating traceability information, and acquiring a detection process of the detection sample according to the traceability information;
if the result is smaller than the set value, judging that the tracing result is wrong, and carrying out tracing result recording.
Optionally, in the MES-based digital laboratory management method according to the embodiments of the present application, the generating the comprehensive detection report from the detection data according to a predetermined format, and transmitting the comprehensive detection report to the terminal specifically includes:
acquiring detection data, and analyzing detection items corresponding to the detection data and a detection instrument for completing detection;
generating independent detection reports for detection items of the same detection instrument;
and after all the detection projects are completed, the detection data in the independent detection reports are freely combined to obtain a comprehensive detection report of the detection sample, and the comprehensive detection report is transmitted to the terminal for storage.
In a second aspect, embodiments of the present application provide an MES-based digital laboratory management system, comprising: the memory comprises a program of the digital laboratory management method based on the MES, and the program of the digital laboratory management method based on the MES realizes the following steps when being executed by the processor:
acquiring parameters of all detection instruments in a laboratory, and generating functional information of the detection instruments according to the parameters;
obtaining a detection sample, numbering the detection sample to obtain a matched bar code, and attaching the bar code to the detection sample;
acquiring detection request information of a detection sample, and generating a detection item according to the detection request information;
matching the detection items with the functional information of the detection instrument to obtain detection matching degree;
arranging detection instruments with detection matching degree larger than or equal to a preset matching degree threshold according to the sequence of detection items, and generating detection data of corresponding detection items through the detection instruments;
and generating a comprehensive detection report according to the detection data in a preset format, and transmitting the comprehensive detection report to the terminal.
Optionally, in the MES-based digital laboratory management system according to the embodiments of the present application, parameters of all detection apparatuses in a laboratory are acquired, and function information of the detection apparatuses is generated according to the parameters, including:
the detecting instrument comprises a torque detecting machine, a pull-up testing machine, a film thickness testing machine, a hardness testing machine and a friction detecting machine;
acquiring parameters of a detection instrument, wherein the parameters of the detection instrument comprise instrument detection items, historical use records of the detection instrument and historical detection data of the detection instrument;
analyzing the functions of the detecting instruments through the historical detecting data of the detecting instruments to obtain the function information of each detecting instrument.
Optionally, in the MES-based digital laboratory management system according to the embodiments of the present application, obtaining a detection sample, numbering the detection sample to obtain a matched barcode, and attaching the barcode to the detection sample, including:
acquiring the type and the sample parameters of the detection samples, and numbering a plurality of detection samples in sequence according to the type and the sample parameters of the detection samples;
generating a bar code according to the type and the parameters of the detection sample;
the bar codes are in one-to-one correspondence with the sample codes, and the bar codes are stuck on the matched detection samples for marking;
acquiring a disposal mode, an expiration processing mode and a retention mode of a detection sample, and generating reminding information;
binding the reminding information with the bar code, and acquiring the reminding information in real time by scanning the bar code;
the parameters of the detection sample comprise detection sample materials, detection sample shapes, detection sample sizes and detection sample use information.
In a third aspect, embodiments of the present application further provide a computer readable storage medium including an MES-based digital laboratory management method program, which when executed by a processor, implements the steps of the MES-based digital laboratory management method as set forth in any one of the above.
It can be seen from the above that, according to the digital laboratory management method, system and medium based on MES provided in the embodiments of the present application, different detection items are detected by different detection instruments, so that the detection samples are detected in all directions, and the detection data are arranged and analyzed to obtain a comprehensive analysis report, so that the qualification rate of the samples can be analyzed, the problem can be found out, an improvement scheme is provided, and the product quality is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a MES-based digital laboratory management method provided in an embodiment of the present application;
FIG. 2 is a flow chart of obtaining functional information of a detecting instrument based on the MES digital laboratory management method according to the embodiment of the present application;
FIG. 3 is a flow chart of generating reminder information for a MES-based digital laboratory management method according to embodiments of the present application;
fig. 4 is a flowchart of a test model training method of the MES-based digital laboratory management method according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to FIG. 1, FIG. 1 is a flow chart of a MES-based digital laboratory management method in some embodiments of the present application. The digital laboratory management method based on the MES is used in terminal equipment and comprises the following steps:
s1, acquiring parameters of all detection instruments in a laboratory, and generating functional information of the detection instruments according to the parameters;
s2, obtaining a detection sample, numbering the detection sample to obtain a matched bar code, and attaching the bar code to the detection sample;
s3, acquiring detection request information of a detection sample, and generating a detection item according to the detection request information;
s4, matching the detection items with the functional information of the detection instrument to obtain detection matching degree;
s5, arranging detection instruments with detection matching degree larger than or equal to a preset matching degree threshold according to the sequence of detection items, and generating detection data of the corresponding detection items through the detection instruments;
s6, generating a comprehensive detection report according to the detection data in a preset format, and transmitting the comprehensive detection report to the terminal.
It should be noted that, through numbering the detection sample, can be with the parameter record of detection sample in the bar code, can acquire the parameter of detection sample fast through sweeping the code, select the detecting instrument of matching to detect according to the detection item of detection sample to produce corresponding detection data, and arrange the detection data in order, thereby can be audio-visual carry out defect and the sample qualification rate of analysis sample.
Furthermore, the data acquisition method comprises equipment networking communication and AI identification to acquire data, and the data can be manually input, so that the data acquisition in the application is not limited to the above mode, and a person skilled in the art can select other modes to acquire the data according to actual use conditions.
Referring to fig. 2, fig. 2 is a flow chart of obtaining functional information of a test instrument based on a MES-based digital laboratory management method according to some embodiments of the present application. According to the embodiment of the invention, parameters of all detection instruments in a laboratory are acquired, and functional information of the detection instruments is generated according to the parameters, and the method specifically comprises the following steps:
s11, the detecting instrument comprises a torque detecting machine, a pull-up testing machine, a film thickness testing machine, a hardness testing machine and a friction detecting machine;
s12, acquiring parameters of a detection instrument, wherein the parameters of the detection instrument comprise instrument detection items, historical use records of the detection instrument and historical detection data of the detection instrument;
s13, analyzing the functions of the detecting instruments through historical detecting data of the detecting instruments to obtain the function information of each detecting instrument.
It should be noted that, the detection project management, the detection project is the basis of the laboratory to carry out the detection work, and the information mainly includes: project number, name, technical requirements. The system can dynamically manage and detect the project, including the functions of project addition, modification, screening and the like.
Further, the application can detect different detection items through torque detection machine, pull-up testing machine, film thickness testing machine, hardness testing machine and friction testing machine to the work piece to detect the defect of work piece and the bearing capacity in the experimental process all-round, the machine collocation use more than one or two can be selected to different detection items, and the detection mode is nimble various.
Referring to fig. 3, fig. 3 is a flow chart illustrating a reminder generation method based on a MES-based digital laboratory management method according to some embodiments of the present application. According to the embodiment of the invention, a detection sample is obtained, the detection sample is numbered to obtain a matched bar code, and the bar code is attached to the detection sample, which concretely comprises the following steps:
s21, acquiring types and sample parameters of detection samples, and numbering a plurality of detection samples in sequence according to the types and the sample parameters of the detection samples;
s22, generating a bar code according to the type and the parameters of the detection sample;
s23, the bar codes are in one-to-one correspondence with the sample codes, and the bar codes are stuck on the matched detection samples for marking;
s24, acquiring a disposal mode, an expiration processing mode and a retention mode of the detection sample, and generating reminding information;
s25, binding the reminding information with the bar code, and acquiring the reminding information in real time by scanning the bar code;
the parameters of the detection sample comprise detection sample materials, detection sample shapes, detection sample sizes and detection sample use information.
The sample management, the detection sample has a unique number, the bar code is identified, the bar code will record the treatment, retention and expiration treatment of the special sample along with the sample passing through each link of the detection flow, the reminding information is obtained, and the manager is reminded of operation through the reminding information.
Referring to FIG. 4, FIG. 4 is a flow chart of a test model training method for an MES-based digital laboratory management method according to some embodiments of the present application. According to the embodiment of the invention, the detecting instruments with the detection matching degree larger than or equal to the preset matching degree threshold value are arranged according to the sequence of the detection items, and the detecting instruments are used for generating the detection data of the corresponding detection items, and the method specifically comprises the following steps:
s51, acquiring a plurality of detection items of a detection sample, and detecting and sequencing the detection items to obtain a detection sequence;
s52, sequentially starting corresponding detection instruments according to the detection sequences;
s53, the detecting instrument acquires the parameter information of the detection sample, inputs the parameter information of the detection sample into a detection model, and outputs a detection result of a corresponding detection item through the detection model;
s54, acquiring historical detection data of a detection instrument, inputting the historical detection data into a detection model for training, and judging whether the monitoring model converges or not;
s55, if the convergence is achieved, outputting a detection result to obtain detection data; if the parameter is not converged, generating correction information, adjusting parameters of the detection model according to the correction information, and optimizing the detection result through the detection model after parameter adjustment.
It should be noted that, the detection model is trained through the historical detection data of the detection instrument, when training is performed, the historical detection data of the corresponding proportion is selected according to the ratio of the data quantity through analyzing the historical detection data quantity of different detection instruments, and integrated into a complete training set, the detection model is subjected to continuous iterative computation through the training set, and continuous optimization adjustment is performed on model parameters in the model training process, so that the output result of the detection model is more close to the actual result, and the detection precision of the detection model is improved.
According to an embodiment of the present invention, after generating the detection data corresponding to the detection item by the detection instrument, the method further includes:
acquiring detection items, selecting corresponding detection instruments according to the detection items, and detecting detection samples to obtain detection data;
checking the detection data to obtain a checking result, and recording the information of the checking staff, the distribution information of the detection items, the input information of the detection data, the information of the data checking staff and the checking information of the detection items;
integrating the auditor information, the detection project allocation information, the detection data entry information, the data review personnel information and the detection project approval information to obtain traceability data;
acquiring tracing request information, calling tracing data according to the tracing request information, and calculating data similarity;
judging whether the data similarity is larger than or equal to a preset similarity threshold value;
if the detection result is greater than or equal to the detection result, generating traceability information, and acquiring a detection process of the detection sample according to the traceability information;
if the result is smaller than the set value, judging that the tracing result is wrong, and carrying out tracing result recording.
The detection process management is used for uniformly managing the detection process and result data, so that the data among the detection processes do not conflict and the traceability of the data is ensured. Comprising the following steps: the method comprises the steps of entrusting receiving, entrusting confirmation of detection projects, task allocation, detecting data input, data rechecking, report compiling, report auditing, report approving and report issuing, tracking and tracing an experimental history record, inputting a product part number or other related information, and retrospectively inquiring a history check record of a product.
According to the embodiment of the invention, the detection data is generated into the comprehensive detection report according to the preset format, and the comprehensive detection report is transmitted to the terminal, which specifically comprises the following steps:
acquiring detection data, and analyzing detection items corresponding to the detection data and a detection instrument for completing detection;
generating independent detection reports for detection items of the same detection instrument;
and after all the detection projects are completed, the detection data in the independent detection reports are freely combined to obtain a comprehensive detection report of the detection sample, and the comprehensive detection report is transmitted to the terminal for storage.
After the equipment is connected with the network, the code sample is scanned, the detection report is automatically generated after the equipment is detected, a plurality of detection instruments generate independent detection reports, and finally a comprehensive report is generated and data can be freely combined and extracted.
According to the embodiment of the invention, the comprehensive detection report of the detection sample is obtained by freely combining the detection data in the plurality of independent detection reports, and the method further comprises the following steps:
acquiring detection items of a detection sample, and matching corresponding detection instruments according to the detection items;
generating an independent detection report according to the detection instrument, and acquiring detection items in the report according to the independent detection report;
when the detection items of the detection sample are adjusted, a new detection item combination is obtained;
and extracting corresponding detection item data in the independent detection report, and carrying out data screening on the independent detection report according to the new detection item combination to obtain a comprehensive detection report corresponding to the new detection item combination.
When the detection items of the detection sample are required to be increased or changed, the sample is not required to be detected again, and only whether the increased or changed detection item data exist in each independent detection report is required to be extracted, if yes, the corresponding detection item data are extracted, so that a new comprehensive detection report is formed; if not, only the added or changed detection items are required to be detected independently, and the detection data before the result is arranged, so that a comprehensive detection report can be obtained.
In a second aspect, embodiments of the present application provide an MES-based digital laboratory management system, comprising: the memory and the processor, the memory includes the program of the digital laboratory management method based on the MES, and the program of the digital laboratory management method based on the MES realizes the following steps when being executed by the processor:
acquiring parameters of all detection instruments in a laboratory, and generating functional information of the detection instruments according to the parameters;
obtaining a detection sample, numbering the detection sample to obtain a matched bar code, and attaching the bar code to the detection sample;
acquiring detection request information of a detection sample, and generating a detection item according to the detection request information;
matching the detection items with the functional information of the detection instrument to obtain detection matching degree;
arranging detection instruments with detection matching degree larger than or equal to a preset matching degree threshold according to the sequence of detection items, and generating detection data of corresponding detection items through the detection instruments;
and generating a comprehensive detection report according to the detection data in a preset format, and transmitting the comprehensive detection report to the terminal.
It should be noted that, through numbering the detection sample, can be with the parameter record of detection sample in the bar code, can acquire the parameter of detection sample fast through sweeping the code, select the detecting instrument of matching to detect according to the detection item of detection sample to produce corresponding detection data, and arrange the detection data in order, thereby can be audio-visual carry out defect and the sample qualification rate of analysis sample.
According to the embodiment of the invention, parameters of all detection instruments in a laboratory are acquired, and functional information of the detection instruments is generated according to the parameters, and the method specifically comprises the following steps:
the detecting instrument comprises a torque detecting machine, a pull-up testing machine, a film thickness testing machine, a hardness testing machine and a friction detecting machine;
acquiring parameters of a detection instrument, wherein the parameters of the detection instrument comprise instrument detection items, historical use records of the detection instrument and historical detection data of the detection instrument;
analyzing the functions of the detecting instruments through the historical detecting data of the detecting instruments to obtain the function information of each detecting instrument.
It should be noted that, the detection project management, the detection project is the basis of the laboratory to carry out the detection work, and the information mainly includes: project number, name, technical requirements. The system can dynamically manage and detect the project, including the functions of project addition, modification, screening and the like.
Further, the application can detect different detection items through torque detection machine, pull-up testing machine, film thickness testing machine, hardness testing machine and friction testing machine to the work piece to detect the defect of work piece and the bearing capacity in the experimental process all-round, the machine collocation use more than one or two can be selected to different detection items, and the detection mode is nimble various.
According to the embodiment of the invention, a detection sample is obtained, the detection sample is numbered to obtain a matched bar code, and the bar code is attached to the detection sample, which concretely comprises the following steps:
acquiring the type and the sample parameters of the detection samples, and numbering a plurality of detection samples in sequence according to the type and the sample parameters of the detection samples;
generating a bar code according to the type and the parameters of the detection sample;
the bar codes are in one-to-one correspondence with the sample codes, and the bar codes are stuck on the matched detection samples for marking;
acquiring a disposal mode, an expiration processing mode and a retention mode of a detection sample, and generating reminding information;
binding the reminding information with the bar code, and acquiring the reminding information in real time by scanning the bar code;
the parameters of the detection sample comprise detection sample materials, detection sample shapes, detection sample sizes and detection sample use information.
The method is characterized in that the sample management, the detection sample has a unique number, the bar code is identified, the bar code is used for recording the treatment, the retention and the expiration treatment of the special sample along with the sample in each link of the detection flow, the reminding information is obtained, the manager is reminded of operation through the reminding information, and the bar code is internally provided with data of production batches, product specification and size of products and product delivery test.
According to the embodiment of the invention, the detecting instruments with the detection matching degree larger than or equal to the preset matching degree threshold value are arranged according to the sequence of the detection items, and the detecting instruments are used for generating the detection data of the corresponding detection items, and the method specifically comprises the following steps:
acquiring a plurality of detection items of a detection sample, and detecting and sequencing the detection items to obtain a detection sequence;
sequentially starting corresponding detection instruments according to the detection sequences;
the detection instrument acquires the parameter information of the detection sample, inputs the parameter information of the detection sample into a detection model, and outputs a detection result of a corresponding detection item through the detection model;
acquiring historical detection data of a detection instrument, inputting the historical detection data into a detection model for training, and judging whether the monitoring model converges or not;
if the convergence is carried out, outputting a detection result to obtain detection data; if the parameter is not converged, generating correction information, adjusting parameters of the detection model according to the correction information, and optimizing the detection result through the detection model after parameter adjustment.
It should be noted that, the detection model is trained through the historical detection data of the detection instrument, when training is performed, the historical detection data of the corresponding proportion is selected according to the ratio of the data quantity through analyzing the historical detection data quantity of different detection instruments, and integrated into a complete training set, the detection model is subjected to continuous iterative computation through the training set, and continuous optimization adjustment is performed on model parameters in the model training process, so that the output result of the detection model is more close to the actual result, and the detection precision of the detection model is improved.
According to an embodiment of the present invention, after generating the detection data corresponding to the detection item by the detection instrument, the method further includes:
acquiring detection items, selecting corresponding detection instruments according to the detection items, and detecting detection samples to obtain detection data;
checking the detection data to obtain a checking result, and recording the information of the checking staff, the distribution information of the detection items, the input information of the detection data, the information of the data checking staff and the checking information of the detection items;
integrating the auditor information, the detection project allocation information, the detection data entry information, the data review personnel information and the detection project approval information to obtain traceability data;
acquiring tracing request information, calling tracing data according to the tracing request information, and calculating data similarity;
judging whether the data similarity is larger than or equal to a preset similarity threshold value;
if the detection result is greater than or equal to the detection result, generating traceability information, and acquiring a detection process of the detection sample according to the traceability information;
if the result is smaller than the set value, judging that the tracing result is wrong, and carrying out tracing result recording.
The detection process management is used for uniformly managing the detection process and result data, so that the data among the detection processes do not conflict and the traceability of the data is ensured. Comprising the following steps: the method comprises the steps of entrusting receiving, entrusting confirmation of detection projects, task allocation, detecting data input, data rechecking, report compiling, report auditing, report approving and report issuing, tracking and tracing an experimental history record, inputting a product part number or other related information, and retrospectively inquiring a history check record of a product.
According to the embodiment of the invention, the detection data is generated into the comprehensive detection report according to the preset format, and the comprehensive detection report is transmitted to the terminal, which specifically comprises the following steps:
acquiring detection data, and analyzing detection items corresponding to the detection data and a detection instrument for completing detection;
generating independent detection reports for detection items of the same detection instrument;
and after all the detection projects are completed, the detection data in the independent detection reports are freely combined to obtain a comprehensive detection report of the detection sample, and the comprehensive detection report is transmitted to the terminal for storage.
After the equipment is connected with the network, the code sample is scanned, the detection report is automatically generated after the equipment is detected, a plurality of detection instruments generate independent detection reports, and finally a comprehensive report is generated and data can be freely combined and extracted.
According to the embodiment of the invention, the comprehensive detection report of the detection sample is obtained by freely combining the detection data in the plurality of independent detection reports, and the method further comprises the following steps:
acquiring detection items of a detection sample, and matching corresponding detection instruments according to the detection items;
generating an independent detection report according to the detection instrument, and acquiring detection items in the report according to the independent detection report;
when the detection items of the detection sample are adjusted, a new detection item combination is obtained;
and extracting corresponding detection item data in the independent detection report, and carrying out data screening on the independent detection report according to the new detection item combination to obtain a comprehensive detection report corresponding to the new detection item combination.
When the detection items of the detection sample are required to be increased or changed, the sample is not required to be detected again, and only whether the increased or changed detection item data exist in each independent detection report is required to be extracted, if yes, the corresponding detection item data are extracted, so that a new comprehensive detection report is formed; if not, only the added or changed detection items are required to be detected independently, and the detection data before the result is arranged, so that a comprehensive detection report can be obtained.
A third aspect of the present invention provides a computer readable storage medium having embodied therein an MES-based digital laboratory management method program which, when executed by a processor, implements the steps of an MES-based digital laboratory management method as in any of the above.
According to the digital laboratory management method, system and medium based on the MES, different detection items are detected through different detection instruments, the detection of the detection samples in all directions is realized, the detection data are arranged and analyzed, and a comprehensive analysis report is obtained, so that the qualification rate of the samples can be analyzed, the problem is found out, an improvement scheme is provided, and the product quality is improved.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of units is only one logical function division, and there may be other divisions in actual implementation, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, randomAccess Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. A MES-based digital laboratory management method, comprising:
acquiring parameters of all detection instruments in a laboratory, and generating functional information of the detection instruments according to the parameters;
obtaining a detection sample, numbering the detection sample to obtain a matched bar code, and attaching the bar code to the detection sample;
acquiring detection request information of a detection sample, and generating a detection item according to the detection request information;
matching the detection items with the functional information of the detection instrument to obtain detection matching degree;
arranging detection instruments with detection matching degree larger than or equal to a preset matching degree threshold according to the sequence of detection items, and generating detection data of corresponding detection items through the detection instruments;
and generating a comprehensive detection report according to the detection data in a preset format, and transmitting the comprehensive detection report to the terminal.
2. The MES-based digital laboratory management method according to claim 1, wherein the steps of acquiring parameters of all the detecting instruments in the laboratory and generating functional information of the detecting instruments according to the parameters include:
the detecting instrument comprises a torque detecting machine, a pull-up testing machine, a film thickness testing machine, a hardness testing machine and a friction detecting machine;
acquiring parameters of a detection instrument, wherein the parameters of the detection instrument comprise instrument detection items, historical use records of the detection instrument and historical detection data of the detection instrument;
analyzing the functions of the detecting instruments through the historical detecting data of the detecting instruments to obtain the function information of each detecting instrument.
3. The MES-based digital laboratory management method according to claim 2, wherein the steps of obtaining a test sample, numbering the test sample to obtain a matched bar code, and attaching the bar code to the test sample comprise:
acquiring the type and the sample parameters of the detection samples, and numbering a plurality of detection samples in sequence according to the type and the sample parameters of the detection samples;
generating a bar code according to the type and the parameters of the detection sample;
the bar codes are in one-to-one correspondence with the sample codes, and the bar codes are stuck on the matched detection samples for marking;
acquiring a disposal mode, an expiration processing mode and a retention mode of a detection sample, and generating reminding information;
binding the reminding information with the bar code, and acquiring the reminding information in real time by scanning the bar code;
the parameters of the detection sample comprise detection sample materials, detection sample shapes, detection sample sizes and detection sample use information.
4. The MES-based digital laboratory management method according to claim 3, wherein the detecting instruments for detecting a matching degree greater than or equal to a preset matching degree threshold are arranged in the order of the detected items, and the detecting data of the corresponding detected items are generated by the detecting instruments, specifically comprising:
acquiring a plurality of detection items of a detection sample, and detecting and sequencing the detection items to obtain a detection sequence;
sequentially starting corresponding detection instruments according to the detection sequences;
the detection instrument acquires the parameter information of the detection sample, inputs the parameter information of the detection sample into a detection model, and outputs a detection result of a corresponding detection item through the detection model;
acquiring historical detection data of a detection instrument, inputting the historical detection data into a detection model for training, and judging whether the monitoring model converges or not;
if the convergence is carried out, outputting a detection result to obtain detection data;
if the parameter is not converged, generating correction information, adjusting parameters of the detection model according to the correction information, and optimizing the detection result through the detection model after parameter adjustment.
5. The MES-based digital laboratory management method according to claim 4, wherein after generating the inspection data corresponding to the inspection items by the inspection instrument, further comprising:
acquiring detection items, selecting corresponding detection instruments according to the detection items, and detecting detection samples to obtain detection data;
checking the detection data to obtain a checking result, and recording the information of the checking staff, the distribution information of the detection items, the input information of the detection data, the information of the data checking staff and the checking information of the detection items;
integrating the auditor information, the detection project allocation information, the detection data entry information, the data review personnel information and the detection project approval information to obtain traceability data;
acquiring tracing request information, calling tracing data according to the tracing request information, and calculating data similarity;
judging whether the data similarity is larger than or equal to a preset similarity threshold value;
if the detection result is greater than or equal to the detection result, generating traceability information, and acquiring a detection process of the detection sample according to the traceability information;
if the result is smaller than the set value, judging that the tracing result is wrong, and carrying out tracing result recording.
6. The MES-based digital laboratory management method according to claim 5, wherein the generating the integrated test report from the test data according to a predetermined format and transmitting the integrated test report to the terminal, comprises:
acquiring detection data, and analyzing detection items corresponding to the detection data and a detection instrument for completing detection;
generating independent detection reports for detection items of the same detection instrument;
and after all the detection projects are completed, the detection data in the independent detection reports are freely combined to obtain a comprehensive detection report of the detection sample, and the comprehensive detection report is transmitted to the terminal for storage.
7. A MES-based digital laboratory management system, the system comprising: the memory comprises a program of the digital laboratory management method based on the MES, and the program of the digital laboratory management method based on the MES realizes the following steps when being executed by the processor:
acquiring parameters of all detection instruments in a laboratory, and generating functional information of the detection instruments according to the parameters;
obtaining a detection sample, numbering the detection sample to obtain a matched bar code, and attaching the bar code to the detection sample;
acquiring detection request information of a detection sample, and generating a detection item according to the detection request information;
matching the detection items with the functional information of the detection instrument to obtain detection matching degree;
arranging detection instruments with detection matching degree larger than or equal to a preset matching degree threshold according to the sequence of detection items, and generating detection data of corresponding detection items through the detection instruments;
and generating a comprehensive detection report according to the detection data in a preset format, and transmitting the comprehensive detection report to the terminal.
8. The MES-based digital laboratory management system according to claim 7, wherein the steps of acquiring parameters of all the detecting instruments in the laboratory and generating functional information of the detecting instruments according to the parameters include:
the detecting instrument comprises a torque detecting machine, a pull-up testing machine, a film thickness testing machine, a hardness testing machine and a friction detecting machine;
acquiring parameters of a detection instrument, wherein the parameters of the detection instrument comprise instrument detection items, historical use records of the detection instrument and historical detection data of the detection instrument;
analyzing the functions of the detecting instruments through the historical detecting data of the detecting instruments to obtain the function information of each detecting instrument.
9. The MES-based digital laboratory management system of claim 8, wherein obtaining the test sample, numbering the test sample, obtaining a matching bar code, and attaching the bar code to the test sample, comprises:
acquiring the type and the sample parameters of the detection samples, and numbering a plurality of detection samples in sequence according to the type and the sample parameters of the detection samples;
generating a bar code according to the type and the parameters of the detection sample;
the bar codes are in one-to-one correspondence with the sample codes, and the bar codes are stuck on the matched detection samples for marking;
acquiring a disposal mode, an expiration processing mode and a retention mode of a detection sample, and generating reminding information;
binding the reminding information with the bar code, and acquiring the reminding information in real time by scanning the bar code;
the parameters of the detection sample comprise detection sample materials, detection sample shapes, detection sample sizes and detection sample use information.
10. A computer readable storage medium, characterized in that it comprises an MES-based digital laboratory management method program, which, when executed by a processor, implements the steps of the MES-based digital laboratory management method according to any one of claims 1 to 6.
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