CN107516166B - Super sample self-adaptive management method - Google Patents

Super sample self-adaptive management method Download PDF

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Publication number
CN107516166B
CN107516166B CN201710699521.4A CN201710699521A CN107516166B CN 107516166 B CN107516166 B CN 107516166B CN 201710699521 A CN201710699521 A CN 201710699521A CN 107516166 B CN107516166 B CN 107516166B
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sample
flow
template
samples
management method
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CN107516166A (en
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唐郡
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Guangzhou Leber Shikai Technology Co.,Ltd.
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Guangzhou Leber Shikai Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0633Workflow analysis

Abstract

The invention relates to a super sample self-adaptive management method, which comprises the following steps: managing the sample in a sample process management interface; and putting the sample to be operated into a batch editing state. At each stage of sample flow, the template can be freely configured and generated. And in each stage, the operation of batch editing, batch production of parallel samples and quality control samples can be freely performed. Meanwhile, the two-dimensional code scanning of the mobile phone APP can be used for operating the stage circulation process of the sample.

Description

Super sample self-adaptive management method
Technical Field
The invention relates to the field of super sample management, in particular to a super sample self-adaptive management method.
Background
In the traditional sample flow management, the most troublesome point is that the writing steps of the sample torsion flow are redundant, but some steps are not available in the system, and in some steps, the system is not arranged to add parallel samples, quality control samples and other operations.
Disclosure of Invention
In view of the deficiencies in the prior art, the present invention aims to provide a method for adaptive management of supersamples, which can freely configure and generate templates at each stage of sample flow. And in each stage, the operation of batch editing, batch production of parallel samples and quality control samples can be freely performed. Meanwhile, the two-dimensional code scanning of the mobile phone APP can be used for operating the stage circulation process of the sample.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a super sample self-adaptive management method, which has the improvement that:
managing the sample in a sample process management interface;
and putting the sample to be operated into a batch editing state.
Further: the sample is managed in a sample process management interface, and the sample process management interface comprises the following steps:
entering a sample flow management interface;
and selecting a sample flow template, and operating a sample flow link.
Further: before entering the sample flow management interface, the method further comprises:
judging whether a sample operation item exists or not, if so, entering a sample flow management interface; otherwise, the operation is restarted after a new sample operation item is created.
Further: the input of the sample process management interface is a default sample classification; the output includes: newly adding a sample category; saving the current sample operation flow being executed as a template; adding a new sample operation flow;
the new sample operation flow comprises the following steps:
selecting a sample template, and skipping if the sample template has been selected for the current sample category; otherwise, selecting a sample template;
filling related values according to the attributes given by the template;
and clicking to store, and adding the new sample successfully.
Further: the selecting of the sample process template and the operating of the sample process link comprise:
judging whether a sample operation process exists or not, and if so, operating the sample process; otherwise, entering a flow template selection interface; selecting a default sample flow standard given in a flow template interface; and when the flow template interface is selected, operating the sample flow.
Further: the sample operation flow comprises the following steps: renaming sample name, move, delete, or add sample operation.
Further: the sample to be operated enters a batch editing state, and is subjected to batch editing and required sample manufacturing, and the method comprises the following steps:
judging whether a sample exists or not, and if so, directly carrying out sample flow operation; otherwise, manually creating a sample, scanning and adding samples, or adding samples in batches, carrying out corresponding operation, and then carrying out sample flow operation;
enter the sample editing state.
Further: when a sample is added by scanning, judging whether the added sample belongs to a sample flow, if so, moving to the sample flow operation after the sample is added; otherwise, the addition of the sample is cancelled;
when a sample is created manually or added in batches, the formed sample template is added to the sample flow operation.
Further: the sample flow operations include:
if the single sample is a single sample, judging whether the single sample has the sub-sample, and if the single sample has the sub-sample, giving obvious difference to inform a user that the sample has the sub-sample; otherwise a clear distinction is given to inform the user that the sample has no sub-samples.
Further: the batch edit status includes: copying, batch editing, splitting, deleting and moving the samples to manufacture the required samples;
copying the sample to obtain a parallel sample and a backup sample of the sample;
carrying out splitting operation on the sample to obtain a subclass sample of the sample;
the sample moving operation changes the flow of the sample, and changes the state of the sample.
Compared with the closest prior art, the technical scheme provided by the invention has the following beneficial effects:
the invention provides a super sample self-adaptive management method, which comprises the following steps: managing the sample in a sample process management interface; and putting the sample to be operated into a batch editing state. At each stage of sample flow, the template can be freely configured and generated. And in each stage, the operation of batch editing, batch production of parallel samples and quality control samples can be freely performed. Meanwhile, the two-dimensional code scanning of the mobile phone APP can be used for operating the stage circulation process of the sample.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method of adaptive management of a super sample.
FIG. 2 is a flow chart of a method for adaptive management of supersamples.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
The invention provides a super sample self-adaptive management method, a flow chart of which is shown in figure 1, and the method comprises the following steps:
s101: managing the sample in a sample process management interface;
s102: and putting the sample to be operated into a batch editing state.
In the above embodiment: the sample is managed in a sample process management interface, and the sample process management interface comprises the following steps:
entering a sample flow management interface;
and selecting a sample flow template, and operating a sample flow link.
In the above embodiment: before entering the sample flow management interface, the method further comprises:
judging whether a sample operation item exists or not, if so, entering a sample flow management interface; otherwise, the operation is restarted after a new sample operation item is created.
In the above embodiment: the input of the sample process management interface is a default sample classification; the output includes: newly adding a sample category; saving the current sample operation flow being executed as a template; add new sample run.
The new sample operation flow comprises the following steps:
selecting a sample template, and skipping if the sample template has been selected for the current sample category; otherwise, selecting a sample template;
filling related values according to the attributes given by the template;
and clicking to store, and adding the new sample successfully.
In the above embodiment: the selecting of the sample process template and the operating of the sample process link comprise:
judging whether a sample operation process exists or not, and if so, operating the sample process; otherwise, entering a flow template selection interface; selecting a default sample flow standard given in a flow template interface; and when the flow template interface is selected, operating the sample flow.
In the above embodiment: the sample operation flow comprises the following steps: renaming sample name, move, delete, or add sample operation.
In the above embodiment: the sample to be operated enters a batch editing state, and is subjected to batch editing and required sample manufacturing, and the method comprises the following steps:
judging whether a sample exists or not, and if so, directly carrying out sample flow operation; otherwise, manually creating a sample, scanning and adding samples, or adding samples in batches, carrying out corresponding operation, and then carrying out sample flow operation;
enter the sample editing state.
In the above embodiment: when a sample is added by scanning, judging whether the added sample belongs to a sample flow, if so, moving to the sample flow operation after the sample is added; otherwise, the addition of the sample is cancelled;
when a sample is created manually or added in batches, the formed sample template is added to the sample flow operation.
In the above embodiment: the sample flow operations include:
if the single sample is a single sample, judging whether the single sample has the sub-sample, and if the single sample has the sub-sample, giving obvious difference to inform a user that the sample has the sub-sample; otherwise a clear distinction is given to inform the user that the sample has no sub-samples.
In the above embodiment: the batch edit status includes: copying, batch editing, splitting, deleting and moving the samples to manufacture the required samples;
copying the sample to obtain a parallel sample and a backup sample of the sample;
carrying out splitting operation on the sample to obtain a subclass sample of the sample;
the sample moving operation changes the flow of the sample, and changes the state of the sample.
Example II,
The invention also provides a super sample self-adaptive management system, which comprises:
the sample management module is used for managing the sample in a sample process management interface;
and the batch editing state module is used for enabling the samples to be operated to enter a batch editing state.
The sample management module further comprises:
the click entering module is used for entering a sample process management interface;
and the selection module is used for selecting the sample flow template and operating the sample flow link.
The system further comprises a judging module, which is used for before entering the sample process management interface, and further comprises:
judging whether a sample operation item exists or not, if so, entering a sample flow management interface; otherwise, the operation is restarted after a new sample operation item is created.
The invention LabsCare develops a set of super Sample self-adaptive Management method, LCSM-LabsCare Sample Management, LCSM can freely configure and generate a template at each Sample flow stage. And in each stage, the operation of batch editing, batch production of parallel samples and quality control samples can be freely performed. Meanwhile, the two-dimensional code scanning of the mobile phone APP can be used for operating the stage circulation process of the sample.
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 conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (6)

1. A super sample self-adaptive management method is characterized in that:
managing the sample in a sample process management interface;
entering samples to be operated into a batch editing state;
wherein, the sample that will wait to operate enters batch editing state, carries out sample batch editing, makes required sample, includes:
judging whether a sample exists or not, and if so, directly carrying out sample flow operation; otherwise, manually creating a sample, scanning and adding the sample or adding the sample in batches, performing corresponding operation, and then performing sample flow operation;
entering a sample editing state;
the batch edit status includes: copying, batch editing, splitting, deleting and moving the samples to manufacture the required samples;
copying the sample to obtain a parallel sample and a backup sample of the sample;
carrying out splitting operation on the sample to obtain a subclass sample of the sample;
the sample moving operation changes the flow of the sample and changes the state of the sample;
when a sample is added by scanning, judging whether the added sample belongs to a sample flow, if so, moving to the sample flow operation after the sample is added; otherwise, the addition of the sample is cancelled;
when a sample is created manually or added in batches, the formed sample template is to be added to the sample flow operation;
the sample flow operations include:
if the single sample is a single sample, judging whether the single sample has the sub-sample, and if the single sample has the sub-sample, giving obvious difference to inform a user that the sample has the sub-sample; otherwise a clear distinction is given to inform the user that the sample has no sub-samples.
2. The adaptive management method for supersamples as recited in claim 1, wherein: the sample is managed in a sample process management interface, and the sample process management interface comprises the following steps:
entering a sample flow management interface;
and selecting a sample flow template, and operating a sample flow link.
3. The adaptive management method for supersamples as recited in claim 2, wherein: before entering the sample flow management interface, the method further comprises:
judging whether a sample operation item exists, if so, entering a sample flow management interface: otherwise, the operation is restarted after a new sample operation item is created.
4. The adaptive management method for supersamples as recited in claim 2, wherein: the input of the sample process management interface is a default sample classification; the output includes: newly adding a sample category; saving the current sample operation flow being executed as a template; adding a new sample operation flow;
the new sample operation flow comprises the following steps:
running a sample template, if the current sample category has already selected the sample template, skipping; otherwise, selecting a sample template;
filling related values according to the attributes given by the template;
and clicking to store, and adding the new sample successfully.
5. The adaptive management method for supersamples as recited in claim 2, wherein: the selecting of the sample process template and the operating of the sample process link comprise:
judging whether a sample operation process exists or not, and if so, operating the sample process; otherwise, entering a flow template selection interface; selecting a default sample flow standard given in a flow template interface; and when the flow template interface is selected, operating the sample flow.
6. The adaptive management method for super samples according to claim 5, wherein: the sample operation flow comprises the following steps: renaming sample name, move, delete, or add sample operation.
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CN105956832A (en) * 2016-06-01 2016-09-21 深圳市恒普生物科技有限公司 Laboratory information system
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CN106815689A (en) * 2017-01-25 2017-06-09 九三粮油工业集团有限公司 Equipment file management method and apparatus archive management system

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