CN112860536A - Method, system, device and computer storage medium for simulating sample detection - Google Patents

Method, system, device and computer storage medium for simulating sample detection Download PDF

Info

Publication number
CN112860536A
CN112860536A CN201911174405.6A CN201911174405A CN112860536A CN 112860536 A CN112860536 A CN 112860536A CN 201911174405 A CN201911174405 A CN 201911174405A CN 112860536 A CN112860536 A CN 112860536A
Authority
CN
China
Prior art keywords
project
detection
sample
file
sample detection
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201911174405.6A
Other languages
Chinese (zh)
Other versions
CN112860536B (en
Inventor
黄金
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Dymind Biotechnology Co Ltd
Original Assignee
Shenzhen Dymind Biotechnology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Dymind Biotechnology Co Ltd filed Critical Shenzhen Dymind Biotechnology Co Ltd
Priority to CN201911174405.6A priority Critical patent/CN112860536B/en
Publication of CN112860536A publication Critical patent/CN112860536A/en
Application granted granted Critical
Publication of CN112860536B publication Critical patent/CN112860536B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/36Preventing errors by testing or debugging software
    • G06F11/3604Software analysis for verifying properties of programs
    • G06F11/3612Software analysis for verifying properties of programs by runtime analysis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Epidemiology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Automatic Analysis And Handling Materials Therefor (AREA)

Abstract

The application discloses a method, a system, a device and a computer storage medium for simulating sample detection, wherein the method comprises the following steps: acquiring a project flow file; wherein the project flow files can be identified by a scheduling algorithm to perform corresponding operations; scheduling the virtual component to execute the project flow file by adopting a scheduling algorithm so as to perform simulation sample detection; and evaluating the simulated sample detection to obtain an evaluation result. By the mode, the efficiency of project process development can be improved, the consumption of raw materials can be reduced, and the cost can be reduced.

Description

Method, system, device and computer storage medium for simulating sample detection
Technical Field
The present application relates to the field of sample testing technologies, and in particular, to a method, a system, an apparatus, and a computer storage medium for simulating sample testing.
Background
In the field of medical testing, the period of sample testing (e.g., immunoassay) is generally long, and multiple reagents are required.
When the project process development of sample detection is carried out, parameters and steps needing to be adjusted are multiple, the time needed for completing a project process is long, and the expected effect can be obtained generally by continuously testing and adjusting the parameters in the project development process. Repeated work cannot be omitted, time consumption is long, project development efficiency is low, time for waiting for results is long, and cost is correspondingly high.
Disclosure of Invention
In order to solve the above problems, the present application provides a method, a system, an apparatus, and a computer storage medium for simulating sample detection, which can improve the efficiency of project process development, reduce the consumption of raw materials, and facilitate cost reduction.
The technical scheme adopted by the application is to provide a method for simulating sample detection, which comprises the following steps: acquiring a project flow file; wherein the project flow files can be identified by a scheduling algorithm to perform corresponding operations; scheduling the virtual component to execute the project flow file by adopting a scheduling algorithm so as to perform simulation sample detection; and evaluating the simulated sample detection to obtain an evaluation result.
Another technical solution adopted by the present application is to provide a system for detecting a simulated sample, including: the virtual component module comprises a virtual component, and the virtual component is used for simulating and executing project operation; the scheduling module is used for acquiring the project flow files and scheduling the virtual components to execute the project flow files by adopting a scheduling algorithm so as to perform simulation sample detection; the performance evaluation module is used for evaluating the detection of the simulation sample to obtain an evaluation result; wherein the project flow files can be identified by the scheduling algorithm for corresponding operations.
Another technical solution adopted in the present application is to provide a sample detection simulation apparatus, where the sample detection simulation apparatus includes a processor and a memory electrically connected to the processor, the memory is used for storing program data, and the processor is used for executing the program data to implement the above method for simulating sample detection.
Another technical solution adopted by the present application is to provide a computer storage medium, where the computer storage medium is used to store program data, and the program data is used to implement the method for simulating sample detection described above when being executed by a processor.
The beneficial effect of this application is: in contrast to the prior art, the method for simulating the detection of a sample according to the present application comprises: acquiring a project flow file; the project flow files can be identified by a scheduling algorithm to carry out corresponding operations; scheduling the virtual component to execute the project flow file by adopting a scheduling algorithm so as to perform simulation sample detection; and evaluating the simulated sample detection to obtain an evaluation result. By the method, when the project process development of the sample detection is carried out, the acquired project process file can be identified by the scheduling algorithm, the scheduling algorithm is adopted to schedule the virtual component to execute the project process file so as to carry out the simulated sample detection, namely, the actual sample detection equipment does not need to be operated, and related samples and reagents are used for carrying out project operation, meanwhile, the simulated sample detection is evaluated to obtain an evaluation result which is used as a reference and a basis for the project process adjustment, so that the project process development efficiency can be improved, the consumption of raw materials is reduced, and the cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. Wherein:
FIG. 1 is a schematic flow chart of a first embodiment of a method for simulating sample detection provided herein;
FIG. 2 is a schematic flow chart of a second embodiment of a method for simulating sample detection provided herein;
FIG. 3 is a schematic flow chart of a third embodiment of a method for simulating sample detection provided herein;
FIG. 4 is a schematic flow chart of a fourth embodiment of a method for simulating sample detection provided herein;
FIG. 5 is a first schematic diagram of an embodiment of an analog sample detection system provided herein;
FIG. 6 is a second schematic diagram of an embodiment of an analog sample detection system provided herein;
FIG. 7 is a schematic diagram of an embodiment of a sample detection simulation apparatus provided herein;
FIG. 8 is a schematic diagram of a computer storage medium provided herein.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first", "second" and "third" in the embodiments of the present application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Sample testing devices measure various biochemical indicators through the testing of blood and other body fluids. The sample detection device comprises a sample storage assembly for storing a sample, a reagent storage assembly for storing a reagent, a dispensing assembly for sucking and discharging the sample or the reagent, an incubation detection assembly for incubation and detection and a cleaning assembly for cleaning; the sample storage assembly comprises a rotatable and disc-shaped sample carrying disc, and the sample carrying disc can carry a plurality of samples; the reagent storage assembly comprises a rotatable and disc-shaped reagent bearing disc, and the reagent bearing disc can store various reagents; the incubation detection assembly comprises a rotatable disc-shaped incubation disc and a detection mechanism, the incubation disc bears the reaction cup, and the reaction cup is driven to rotate through the rotation of the incubation disc; the detection mechanism can detect the sample incubated by the incubation disc; the dispensing assembly is used for transferring the samples in the sample bearing discs into the reaction cups of the incubation discs, and is also used for transferring the reagents in the reagent bearing discs into the reaction cups of the incubation discs; the cleaning assembly is used for cleaning the separate injection assembly and is also used for cleaning a reaction cup after the detection of the incubation detection assembly is finished.
The method and the device simulate the operation effect and function of the actual sample detection equipment, and utilize the device with computing power to execute corresponding algorithm or program to simulate sample detection.
Based on this, the present application provides a method of simulating sample detection.
Referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of a method for simulating sample detection according to the present application.
In this embodiment, the method 100 for simulating sample detection includes the following steps:
s120: and acquiring a project flow file.
Wherein the project flow files can be identified by the scheduling algorithm for corresponding operations. The project flow file includes flow information and parameter information of the project.
S140: and scheduling the virtual component to execute the project flow file by adopting a scheduling algorithm so as to perform simulation sample detection.
The scheduling algorithm may be, for example, a particle swarm algorithm, a simulated backfire algorithm, or an ant colony algorithm.
The virtual component is corresponding to the entity component in the actual sample detection device, and the virtual component is used for simulating the functions of the entity component and providing the functions for the scheduling algorithm to simulate the effects and functions of the actual sample detection device.
For example, the virtual module may include a virtual sample storage module, a virtual reagent storage module, a virtual dispensing module, a virtual incubation detection module, a virtual washing module, and the like corresponding to the sample detection device. The virtual sample storage assembly can comprise a virtual sample bearing disc, and the virtual sample bearing disc can bear a plurality of virtual samples; the virtual reagent storage assembly comprises a virtual reagent bearing disc, and the virtual reagent bearing disc is used for storing various virtual reagents; the virtual incubation detection assembly comprises a virtual incubation disc and a virtual detection mechanism, wherein the virtual incubation disc can be used for bearing a virtual reaction cup and simulating to drive the virtual reaction cup to rotate; the virtual detection mechanism can be used for carrying out simulation detection on the virtual sample incubated by the virtual incubation disc; the virtual separate injection assembly is used for transferring the virtual samples in the virtual sample bearing disc to the reaction cups of the virtual incubation disc, and is also used for transferring the virtual reagents in the virtual reagent bearing disc to the virtual reaction cups of the virtual incubation disc; the virtual cleaning assembly is used for cleaning the virtual separate injection assembly and is also used for simulating and cleaning the virtual reaction cup after the detection of the virtual incubation detection assembly is finished.
S160: and evaluating the simulated sample detection to obtain an evaluation result.
In an application scenario, the method 100 for simulating sample detection according to this embodiment may be used to develop a reagent project process, and the project process file may be a reagent project process file.
Unlike the prior art, the method 100 for simulating sample detection of the present embodiment includes: acquiring a project flow file; the project flow files can be identified by a scheduling algorithm to carry out corresponding operations; scheduling the virtual component to execute the project flow file by adopting a scheduling algorithm so as to perform simulation sample detection; and evaluating the simulated sample detection to obtain an evaluation result. By the method, when the project process development of the sample detection is carried out, the acquired project process file can be identified by the scheduling algorithm, the scheduling algorithm is adopted to schedule the virtual component to execute the project process file so as to carry out the simulated sample detection, namely, the actual sample detection equipment does not need to be operated, and related samples and reagents are used for carrying out project operation, meanwhile, the simulated sample detection is evaluated to obtain an evaluation result which is used as a reference and a basis for the project process adjustment, so that the project process development efficiency can be improved, the consumption of raw materials is reduced, and the cost is reduced.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for simulating sample detection according to a second embodiment of the present disclosure.
In this embodiment, on the basis of the previous embodiment, the step S120: acquiring a project process file, comprising:
s21: and acquiring a project flow input by a user.
For example, in a reagent project flow development process, a user (project developer) can create a project flow using an editing tool based on experience and actual needs.
S22: and converting the project process into a project process file.
And converting the project process input by the user into a project process file which can be identified by the scheduling algorithm to be executed.
Other steps in this embodiment are the same as those in the previous embodiment, and are not described herein again.
Referring to fig. 3, fig. 3 is a schematic flow chart of a method for simulating sample detection according to a third embodiment of the present application.
In this embodiment, on the basis of any of the above embodiments, in step S140: before the step of scheduling the virtual component to execute the project flow file by using the scheduling algorithm to perform the simulated sample detection, the method further comprises the following steps:
s130: and creating a corresponding virtual component according to the component required by the project flow file.
In the present embodiment, step S130 follows step S120.
In this embodiment, after the project flow file is acquired and analyzed, the corresponding virtual component may be created according to the requirement of the project flow file. By creating the virtual components required by the project flow files, the subsequent scheduling complexity can be reduced, and the speed of simulation detection can be increased.
It is understood that in other embodiments, the step of creating the virtual component may also precede step S120. The virtual components are not required to be created before the simulated sample detection is carried out each time, and the created virtual components can be used by executing corresponding programs, so that the calculation amount is reduced, the data processing requirement on equipment is reduced, and the application range of the method is improved.
Other steps in this embodiment may be the same as those in any of the above embodiments, and are not described herein again.
Referring to fig. 4, fig. 4 is a schematic flowchart illustrating a fourth embodiment of a method for simulating sample detection according to the present application.
In this embodiment, on the basis of any of the above embodiments, step S160: evaluating the simulated sample test to obtain an evaluation result, comprising:
s61: and evaluating the detection of the simulated sample, and acquiring the detection parameters in the detection process of the simulated sample as an evaluation result.
Alternatively, step S61: evaluating the detection of the simulated sample, and acquiring detection parameters in the detection process of the simulated sample as an evaluation result, wherein the evaluation result comprises the following steps: and monitoring the detection process of the simulated sample in real time, and acquiring key detection information in the detection process of the simulated sample as a detection parameter.
For example, in the process of reagent development, the key detection information may be preset parameter information that is of interest to the reagent developer, such as sensitivity, specificity, reagent reaction speed, complete reaction time, recovery rate, stability, etc. for detecting different concentrations of antigen and antibody.
Optionally, in the step S160: evaluating the simulated sample test to obtain an evaluation result, further comprising:
s170: and judging whether the detection parameters meet the set requirements.
For example, in the process of reagent development, a reagent developer may judge whether the detection parameters meet the set requirements according to experience and professional knowledge. The system may automatically determine the detection parameter by comparing the detection parameter with a setting requirement. The set requirements may be empirical values or expected values set by the project developer.
Alternatively, if the detected parameters do not meet the set requirements, the user (project developer) can modify the original project flow to obtain a new project flow by using an editing tool according to experience and actual needs. And converting the modified project process input by the user into a project process file which can be identified by a scheduling algorithm, and after acquiring a new project process file, scheduling the virtual component to execute the project process file by adopting the scheduling algorithm again so as to perform simulated sample detection.
If the detected parameter meets the setting requirement, step S180 is executed.
S180: and outputting the project flow file to the sample detection equipment.
If the detection parameters meet the set requirements, the project process file can be considered to meet the requirements, and the project process file can be output to sample detection equipment for actual sample detection.
The scheduling algorithm in this embodiment may be consistent with a scheduling algorithm running in an external sample detection device, so as to create a set of logical operation environment the same as that of an actual sample detection device, and ensure consistency of results of simulated sample detection and actual sample detection.
Referring to fig. 5, fig. 5 is a first schematic diagram of an embodiment of an analog sample testing system provided in the present application.
In this embodiment, the analog sample detecting system 200 includes: a virtual component module 210, a scheduling module 220, and a performance evaluation module 230.
The virtual component module 210 includes virtual components for simulating execution of project operations.
The scheduling module 220 is configured to obtain a project flow file and schedule the virtual component to execute the project flow file by using a scheduling algorithm, so as to perform simulation sample detection.
The performance evaluation module 230 is used for evaluating the simulated sample detection to obtain an evaluation result.
Wherein the project flow files can be identified by the scheduling algorithm for corresponding operations.
The analog sample testing system 200 provided in this embodiment can be used to implement the method 100 for testing an analog sample in any of the above embodiments, and refer to the related description of the above embodiments. In an embodiment, the modules of the system are respectively program modules composed of different program parts. For more functions of each module, please refer to the description of any embodiment of the method 100 for analog sample detection, which is not repeated herein.
The system 200 for testing an analog sample provided in this embodiment can be used to implement the method 100 for testing an analog sample in any of the above embodiments. The simulated sample detection system 200 comprises the virtual component module 210, the scheduling module 220 and the performance evaluation module 230, when the project process development of sample detection is performed, the scheduling module 220 is used for obtaining a project process file and scheduling the virtual component to execute the project process file by using a scheduling algorithm so as to perform simulated sample detection, that is, an actual sample detection device does not need to be operated and related samples and reagents are used for performing project operation, and meanwhile, the performance evaluation module 230 is used for evaluating the simulated sample detection to obtain an evaluation result which is used as a reference and a basis for project process adjustment, so that the project process development efficiency can be improved, the consumption of raw materials can be reduced, and the cost can be reduced.
Referring to fig. 6, fig. 6 is a second schematic diagram of an embodiment of an analog sample testing system provided in the present application.
In this embodiment, the simulated sample detection system 200 may further include an editing module 240 and a project generation module 250.
The editing module 240 is configured to obtain a project flow input by a user;
the project generation module 250 is used for converting the project process into a project process file.
For more functions of the editing module 240 and the project generating module 250, please refer to the description in any embodiment of the method 100 for simulating sample detection, which is not repeated herein.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an embodiment of a sample detection simulation apparatus provided in the present application.
In this embodiment, the sample testing simulation apparatus 300 includes a processor 310 and a memory 320 electrically connected to the processor 310, the memory 320 is used for storing program data, and the processor 310 is used for executing the program data to implement the following method:
acquiring a project flow file; scheduling the virtual component to execute the project flow file by adopting a scheduling algorithm so as to perform simulation sample detection; and evaluating the simulated sample detection to obtain an evaluation result. Wherein the project flow files can be identified by the scheduling algorithm for corresponding operations.
Optionally, the execution of the program data by the processor 310 is further for implementing the method of: acquiring a project flow input by a user; and converting the project process into a project process file.
Optionally, the execution of the program data by the processor 310 is further for implementing the method of: and creating a corresponding virtual component according to the component required by the project flow file.
Optionally, the execution of the program data by the processor 310 is further for implementing the method of: evaluating the detection of the simulated sample, and acquiring detection parameters in the detection process of the simulated sample as an evaluation result; judging whether the detection parameters meet the set requirements or not; and if not, acquiring a new project flow file, and executing the step of adopting the scheduling algorithm to schedule the virtual component to execute the project flow file again so as to perform the detection of the simulation sample.
Optionally, the execution of the program data by the processor 310 is further for implementing the method of: and if so, outputting the project flow file to the sample detection equipment.
Optionally, the execution of the program data by the processor 310 is further for implementing the method of: and the real-time monitoring and scheduling algorithm carries out the process of simulating sample detection, and key detection information in the process of simulating sample detection is obtained as a detection parameter.
Referring to fig. 8, fig. 8 is a schematic diagram of a computer storage medium provided herein.
In this embodiment, the computer storage medium 400 is used for storing the program data 410, and the program data 410 is used for implementing the following method when being executed by a processor:
acquiring a project flow file; scheduling the virtual component to execute the project flow file by adopting a scheduling algorithm so as to perform simulation sample detection; and evaluating the simulated sample detection to obtain an evaluation result. Wherein the project flow files can be identified by the scheduling algorithm for corresponding operations.
It is understood that the computing storage medium 400 in this embodiment may be applied to the sample detection simulation apparatus 300, and specific implementation steps thereof may refer to the above embodiments, which are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus, and system may be implemented in other manners. For example, the above-described method, apparatus and system embodiments are merely illustrative, and for example, the division of the modules or units is only one logical 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.
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 embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated units in the other embodiments described above may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. 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 method for simulating sample detection comprises the following steps: acquiring a project flow file; the project flow files can be identified by a scheduling algorithm to carry out corresponding operations; scheduling the virtual component to execute the project flow file by adopting a scheduling algorithm so as to perform simulation sample detection; and evaluating the simulated sample detection to obtain an evaluation result. By the method, when the project process development of the sample detection is carried out, the acquired project process file can be identified by the scheduling algorithm, the scheduling algorithm is adopted to schedule the virtual component to execute the project process file so as to carry out the simulated sample detection, namely, the actual sample detection equipment does not need to be operated, and related samples and reagents are used for carrying out project operation, meanwhile, the simulated sample detection is evaluated to obtain an evaluation result which is used as a reference and a basis for the project process adjustment, so that the project process development efficiency can be improved, the consumption of raw materials is reduced, and the cost is reduced.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.

Claims (10)

1. A method of simulating sample testing, the method comprising:
acquiring a project flow file; wherein the project flow files are recognizable by a scheduling algorithm for corresponding operations;
scheduling the virtual component to execute the project flow file by adopting the scheduling algorithm so as to perform simulation sample detection;
and evaluating the simulated sample detection to obtain an evaluation result.
2. The method of claim 1,
the acquiring of the project process file comprises:
acquiring a project flow input by a user;
and converting the project process into a project process file.
3. The method of claim 1,
before the scheduling virtual component is scheduled to execute the project flow file by using the scheduling algorithm for performing simulated sample detection, the method further includes:
and creating a corresponding virtual component according to the component required by the project flow file.
4. The method of claim 1,
the evaluating the simulated sample test to obtain an evaluation result comprises:
evaluating the detection of the simulated sample, and acquiring detection parameters in the detection process of the simulated sample as an evaluation result;
after the evaluating the simulated sample test to obtain an evaluation result, the method further comprises:
judging whether the evaluation result meets the set requirement or not;
and if not, acquiring the new project process file, and executing the step of adopting the scheduling algorithm to schedule the virtual component to execute the project process file again so as to perform simulated sample detection.
5. The method of claim 4, further comprising:
and if so, outputting the project process file to the sample detection equipment.
6. The method of claim 4,
the evaluating the detection of the simulated sample and obtaining the detection parameters in the detection process of the simulated sample as the evaluation result comprises:
and monitoring the process of detecting the simulated sample in real time, and acquiring key detection information in the process of detecting the simulated sample as a detection parameter.
7. An analog sample detection system, the system comprising:
the virtual component module comprises a virtual component, and the virtual component is used for simulating and executing project operation;
the scheduling module is used for acquiring a project flow file and scheduling a virtual component to execute the project flow file by adopting a scheduling algorithm so as to perform simulation sample detection;
the performance evaluation module is used for evaluating the simulation sample detection to obtain an evaluation result;
wherein the project flow files are recognizable by the scheduling algorithm for corresponding operations.
8. The system of claim 7, further comprising:
the editing module is used for acquiring a project flow input by a user;
and the project generation module is used for converting the project process into a project process file.
9. A sample testing simulation device, comprising a processor and a memory electrically connected to the processor, the memory for storing program data, the processor for executing the program data to implement the method of any one of claims 1-6.
10. A computer storage medium for storing program data, which when executed by a processor is adapted to carry out the method of any one of claims 1 to 6.
CN201911174405.6A 2019-11-26 2019-11-26 Method, system, device and computer storage medium for simulating sample detection Active CN112860536B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911174405.6A CN112860536B (en) 2019-11-26 2019-11-26 Method, system, device and computer storage medium for simulating sample detection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911174405.6A CN112860536B (en) 2019-11-26 2019-11-26 Method, system, device and computer storage medium for simulating sample detection

Publications (2)

Publication Number Publication Date
CN112860536A true CN112860536A (en) 2021-05-28
CN112860536B CN112860536B (en) 2024-07-05

Family

ID=75985690

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911174405.6A Active CN112860536B (en) 2019-11-26 2019-11-26 Method, system, device and computer storage medium for simulating sample detection

Country Status (1)

Country Link
CN (1) CN112860536B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070174915A1 (en) * 2006-01-23 2007-07-26 University Of Washington Detection of spyware threats within virtual machine
US20080307414A1 (en) * 2007-06-05 2008-12-11 International Business Machines Corporation Creating a virtual machine image with a software deployment system
JP2009245380A (en) * 2008-03-31 2009-10-22 Nomura Research Institute Ltd Job processing system and job testing method
CN102194022A (en) * 2010-03-19 2011-09-21 中国农业机械化科学研究院 Motion simulation and control method and device for agricultural equipment in virtual scene
CN103902908A (en) * 2013-12-25 2014-07-02 武汉安天信息技术有限责任公司 Method and system for detecting malicious codes of Android reinforced applications
CN106209825A (en) * 2016-07-07 2016-12-07 中国电子科技集团公司第二十八研究所 A kind of customizable Botnet pilot system
CN106774244A (en) * 2016-12-05 2017-05-31 南京大全自动化科技有限公司 Data acquisition and the simulation test instrument and its method of testing of supervisor control
CN107346917A (en) * 2017-08-10 2017-11-14 嘉兴恒创电力设计研究院有限公司 Secondary device based on virtual machine integrates joint debugging method
CN110491441A (en) * 2019-05-06 2019-11-22 西安交通大学 A kind of gene sequencing data simulation system and method for simulation crowd background information

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070174915A1 (en) * 2006-01-23 2007-07-26 University Of Washington Detection of spyware threats within virtual machine
US20080307414A1 (en) * 2007-06-05 2008-12-11 International Business Machines Corporation Creating a virtual machine image with a software deployment system
JP2009245380A (en) * 2008-03-31 2009-10-22 Nomura Research Institute Ltd Job processing system and job testing method
CN102194022A (en) * 2010-03-19 2011-09-21 中国农业机械化科学研究院 Motion simulation and control method and device for agricultural equipment in virtual scene
CN103902908A (en) * 2013-12-25 2014-07-02 武汉安天信息技术有限责任公司 Method and system for detecting malicious codes of Android reinforced applications
CN106209825A (en) * 2016-07-07 2016-12-07 中国电子科技集团公司第二十八研究所 A kind of customizable Botnet pilot system
CN106774244A (en) * 2016-12-05 2017-05-31 南京大全自动化科技有限公司 Data acquisition and the simulation test instrument and its method of testing of supervisor control
CN107346917A (en) * 2017-08-10 2017-11-14 嘉兴恒创电力设计研究院有限公司 Secondary device based on virtual machine integrates joint debugging method
CN110491441A (en) * 2019-05-06 2019-11-22 西安交通大学 A kind of gene sequencing data simulation system and method for simulation crowd background information

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
RICARDO NEISSE等: ""Implementing Trust in Cloud Infrastructures"", 《 2011 11TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING》, 11 July 2011 (2011-07-11), pages 1 - 4 *
谢伟等: ""虚拟仪器技术的光通信跟踪检测系统"", 《激光杂志》, 31 December 2017 (2017-12-31), pages 85 - 89 *

Also Published As

Publication number Publication date
CN112860536B (en) 2024-07-05

Similar Documents

Publication Publication Date Title
CN102662836B (en) Evaluation system and method for virtual machine
Zentner et al. Galaxy assembly bias: a significant source of systematic error in the galaxy–halo relationship
Corral et al. Can execution time describe accurately the energy consumption of mobile apps? An experiment in Android
US20130326202A1 (en) Load test capacity planning
CN102402479B (en) For the intermediate representation structure of static analysis
RU2008140323A (en) METAMODEL OF BUSINESS PROCESSES
CN105302706A (en) Application test method and apparatus
CN104239168B (en) Interim card detection method and equipment
Vassiliou et al. Understanding accelerated life-testing analysis
CN105630575A (en) Performance evaluation method aiming at KVM virtualization server
Mendes et al. A framework for performance evaluation of complex event processing systems
CN109032947A (en) Test method, device, equipment and storage medium for operating system
CN107562621A (en) The method and apparatus for determining manual test use-case and tested code incidence relation
Gamaarachchi et al. Squigulator: simulation of nanopore sequencing signal data with tunable noise parameters
Menear et al. Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach
CN112860536B (en) Method, system, device and computer storage medium for simulating sample detection
CN113079061A (en) Internet of things performance testing method and system
Ahmad et al. Online cloud-based battery lifetime estimation framework for smartphone devices
US10289512B2 (en) Persistent command parameter table for pre-silicon device testing
Zhong et al. Critical factors affecting personal software processes
Sallo et al. Towards generating realistic trace for simulating functions-as-a-service
TW201140313A (en) Virtual performance monitoring apparatus and method for using to monitor system performance
Badri et al. Predicting the size of test suites from use cases: An empirical exploration
Al-Manasia et al. An overview of chip multi-processors simulators technology
US20130091384A1 (en) System and method for measuring the effect of interruptions on software application usability

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant