CN112148623A - LIMS-based intelligent complete set of scene testing method - Google Patents

LIMS-based intelligent complete set of scene testing method Download PDF

Info

Publication number
CN112148623A
CN112148623A CN202011114591.7A CN202011114591A CN112148623A CN 112148623 A CN112148623 A CN 112148623A CN 202011114591 A CN202011114591 A CN 202011114591A CN 112148623 A CN112148623 A CN 112148623A
Authority
CN
China
Prior art keywords
test
testing
products
scene
intelligent
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
CN202011114591.7A
Other languages
Chinese (zh)
Other versions
CN112148623B (en
Inventor
王爱玲
翟伟伟
刘小平
刘亮
崔吉福
宋文君
梁欢欢
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.)
Qingdao Penghai Software Co ltd
Original Assignee
Qingdao Penghai Software 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 Qingdao Penghai Software Co ltd filed Critical Qingdao Penghai Software Co ltd
Priority to CN202011114591.7A priority Critical patent/CN112148623B/en
Publication of CN112148623A publication Critical patent/CN112148623A/en
Application granted granted Critical
Publication of CN112148623B publication Critical patent/CN112148623B/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
    • G06F11/3668Software testing
    • G06F11/3672Test management
    • G06F11/3688Test management for test execution, e.g. scheduling of test suites
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an intelligent complete set of scene testing method based on LIMS, which comprises the following steps: step 1, summarizing test parameters of a plurality of products contained in an intelligent set of scenes to form a set of test request information; the complete set of test request information also comprises matching parameter test information among a plurality of products; and 2, testing a single product according to the set of test request information, and testing the matching function among a plurality of products. By adding the test requests of the intelligent set of scenes when the test requests are sent out, the scene test requirements are met, and the test efficiency is improved.

Description

LIMS-based intelligent complete set of scene testing method
Technical Field
The invention relates to the technical field of data analysis, in particular to an intelligent complete set of scene testing method based on LIMS.
Background
With the continuous development of the household appliance industry, the updating speed of the electric appliance products is very fast. Before new products are marketed, they require rigorous testing in the laboratory. When actually dispatching a test request, a relevant requester usually sends a test request to a laboratory, and after the test is completed, relevant test data needs to be fed back to the requester, and finally, the requester counts each test data to obtain a final test result. Due to the fact that the number of new products is large, the situation that different new products are correlated occurs, and the test requirement of an intelligent set of scenes cannot be met by testing of a single product. Therefore, how to design a technology meeting the requirements of the scene test is a technical problem to be solved by the invention.
Disclosure of Invention
The invention provides an intelligent complete set of scene testing method based on LIMS, which meets the scene testing requirement by adding the testing request of the intelligent complete set of scene when sending the testing request, so as to improve the testing efficiency.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides an intelligent complete set of scene testing method based on LIMS, which comprises the following steps:
step 1, summarizing test parameters of a plurality of products contained in an intelligent set of scenes to form a set of test request information; the complete set of test request information also comprises matching parameter test information among a plurality of products;
and 2, testing a single product according to the set of test request information, and testing the matching function among a plurality of products.
Further, the step 1 specifically includes:
according to preset scene information, an intelligent set scene formed by a plurality of products to be tested is analyzed, test parameters of the products selected to form the intelligent set scene are collected, and matching parameter test information is generated according to the corresponding intelligent set scene.
Further, the method specifically comprises the following steps: analyzing a plurality of products to be tested, forming a plurality of intelligent set scenes, summarizing test parameters of the products selected according to each intelligent set scene, and generating corresponding matching parameter test information according to each intelligent set scene.
Further, the testing of the single product specifically includes: and testing the product to be tested according to the self parameter testing information corresponding to the product to be tested.
Further, the testing of the matching function between the plurality of products specifically includes: and testing the matching function among a plurality of products according to the matching parameter test information required by the intelligent set of scenes.
Further, the testing of the single product specifically includes: and if the test result of the product to be tested is not qualified, terminating the matching function test associated with the product.
Compared with the prior art, the technical scheme of the invention has the following technical effects: through the intelligent complete set scene that a plurality of products that analysis awaits measuring can form, in order in complete set test request information include the self parameter test information that single product corresponds, still include the matching parameter test information when a plurality of products are used in combination, in the test process, in order when disposable satisfying the product test, can also satisfy the test requirement of intelligent complete set scene, and then need not to match the combination to use and carry out the request test alone to the product alone, like this, alright reduce the condition that sends the test request repeatedly and take place, through when taking place the test request, join the test request of intelligent complete set scene simultaneously, and then satisfy the scene test requirement, in order to improve efficiency of software testing. After a plurality of products are combined according to a specific scene, all joint detection items are tested, the combined products meet the requirements of intelligent scenes, the intelligent process of enterprises is improved, and the intelligent scene test period is shortened.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of an embodiment of an intelligent set of scenario testing method based on LIMS according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be 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 invention.
As shown in fig. 1, the intelligent set of scenario testing method based on LIMS of the present embodiment includes:
step 1, summarizing test parameters of a plurality of products contained in an intelligent set of scenes to form a set of test request information; the complete set of test request information also comprises matching parameter test information among a plurality of products;
and 2, testing a single product according to the set of test request information, and testing the matching function among a plurality of products.
Specifically, for the household appliance industry, new products are introduced to various products, and after a product user purchases the product, there may be a requirement that different products in the user's home cooperate with each other to perform some functions, such as: linkage operation exists between a water heater and an air conditioner purchased at home, and after a user bathes, the water heater is linked with the air conditioner, so that the air conditioner automatically adjusts the temperature in a room. Therefore, before a plurality of products come into the market, when testing, besides testing various parameters of the products, the testing requirements of matching different products need to be considered. Therefore, based on the Laboratory Information Management System (LIMS) technology, the overall planning can be performed when different products are tested, and the setting of the test requirements can be performed on the intelligent set of scenes which can be constructed by the different products. When different products are tested, besides testing corresponding parameters of the products, the intelligent integrated scene can be used for testing the parameters matched with each other among the products according to the established intelligent integrated scene.
Therefore, in step 1, the LIMS-based intelligent set of scenario testing method of the embodiment summarizes the testing parameters for the multiple products, so as to form a corresponding testing request according to the intelligent set of scenario that can be formed by the multiple products. In the set of test request information sent in step 1, besides the own parameter test information of each product, the set of test request information also has matching parameter test information among a plurality of products.
Therefore, when the test is carried out through the step 2, the laboratory carries out the test of corresponding parameters on each product according to the sent complete set of test request information so as to analyze whether each product is qualified or not, and can also test the matching parameters among the corresponding products according to the matching parameter test information so as to meet the test requirement of mutual matching of the products under the intelligent complete set scene.
Further, the step 1 specifically includes: according to preset scene information, an intelligent set scene formed by a plurality of products to be tested is analyzed, test parameters of the products selected to form the intelligent set scene are collected, and matching parameter test information is generated according to the corresponding intelligent set scene.
Specifically, for different manufacturers, intelligent set scenes which can be formed among different products produced by the manufacturers are preset, so that when a test request is sent to a laboratory, the intelligent set scenes which can be constructed by each product to be tested can be analyzed according to preset scene information, and then the test information of the selected product is summarized aiming at the constructed intelligent set scenes to form set test request information.
Preferably, different intelligent packaging scenarios will be formed due to different combinations between multiple products. Therefore, in step 1, a plurality of products to be tested can be analyzed, a plurality of intelligent set scenes are formed, test parameters of the products selected in each intelligent set scene are summarized, and corresponding matching parameter test information is generated in each intelligent set scene.
In this way, in the actual test process, for a plurality of products to be tested, after the products are tested according to the parameter test information of the products, the tests corresponding to the intelligent set of scenes are respectively carried out according to different intelligent set scenes.
And when the test is carried out in the laboratory stage, the test is divided into the test of a single product and the intelligent set of scene test constructed among a plurality of products in the step 2.
The test of the single product specifically comprises the following steps: and testing the product to be tested according to the self parameter testing information corresponding to the product to be tested. The specific test process of a single product can refer to a single test mode of a product in a conventional laboratory, and the specific test process is not limited or repeated herein.
The method for testing the matching function of the plurality of products specifically comprises the following steps: and testing the matching function among a plurality of products according to the matching parameter test information required by the intelligent set of scenes. Specifically, after the plurality of products are tested, corresponding tests need to be performed on intelligent set scenes constructed among different products, and due to the testing of the intelligent set scenes, matching parameter test information is directly formed according to the plurality of products to be tested, so that manual matching among the products is not needed.
Furthermore, in the testing process of a single product, if the product is qualified, the intelligent set of scenes can be normally tested, and conversely, in the testing process of the single product: and if the test result of the product to be tested is not qualified, terminating the matching function test associated with the product. Specifically, for a test order formed by a single product, based on the LIMS technology, detection process data and a real-time test curve can be issued for each product. And the operator checks the state and abnormal data of each sub order through the unified entry, and timely corrects the closed loop. Meanwhile, after the test is finished, a conclusion can be independently made for all the sub orders, and a conclusion related to the combined sub order under the test of the intelligent set of scenes is made by combining the test request sub orders of all the products, whether the additional test conditions are met or not is made, and finally, a final order conclusion is made to assist in making a decision whether the set of scenes has the marketing conditions or not.
Compared with the prior art, the technical scheme of the invention has the following technical effects: through the intelligent complete set scene that a plurality of products that analysis awaits measuring can form, in order in complete set test request information include the self parameter test information that single product corresponds, still include the matching parameter test information when a plurality of products are used in combination, in the test process, in order when disposable satisfying the product test, can also satisfy the test requirement of intelligent complete set scene, and then need not to match the combination to use and carry out the request test alone to the product alone, like this, alright reduce the condition that sends the test request repeatedly and take place, through when taking place the test request, join the test request of intelligent complete set scene simultaneously, and then satisfy the scene test requirement, in order to improve efficiency of software testing. After a plurality of products are combined according to a specific scene, all joint detection items are tested, the combined products meet the requirements of intelligent scenes, the intelligent process of enterprises is improved, and the intelligent scene test period is shortened.
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 changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (6)

1. An intelligent complete set of scene testing method based on LIMS is characterized by comprising the following steps:
step 1, summarizing test parameters of a plurality of products contained in an intelligent set of scenes to form a set of test request information; the complete set of test request information also comprises matching parameter test information among a plurality of products;
and 2, testing a single product according to the set of test request information, and testing the matching function among a plurality of products.
2. The LIMS-based intelligent set of scenario testing methods of claim 1, wherein the step 1 specifically comprises:
according to preset scene information, an intelligent set scene formed by a plurality of products to be tested is analyzed, test parameters of the products selected to form the intelligent set scene are collected, and matching parameter test information is generated according to the corresponding intelligent set scene.
3. The LIMS-based intelligent complete set of scene testing method as claimed in claim 2, is characterized in that: analyzing a plurality of products to be tested, forming a plurality of intelligent set scenes, summarizing test parameters of the products selected according to each intelligent set scene, and generating corresponding matching parameter test information according to each intelligent set scene.
4. The LIMS-based intelligent set of scenario testing methods of any of claims 1-3, wherein the testing of a single product is specifically: and testing the product to be tested according to the self parameter testing information corresponding to the product to be tested.
5. The LIMS-based intelligent set of scenario testing methods of claim 4, wherein the testing of matching functions between multiple products is specifically: and testing the matching function among a plurality of products according to the matching parameter test information required by the intelligent set of scenes.
6. The LIMS-based intelligent set of scenario testing methods of claim 5, wherein the testing of a single product specifically is: and if the test result of the product to be tested is not qualified, terminating the matching function test associated with the product.
CN202011114591.7A 2020-10-19 2020-10-19 LIMS-based intelligent complete scene test method Active CN112148623B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011114591.7A CN112148623B (en) 2020-10-19 2020-10-19 LIMS-based intelligent complete scene test method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011114591.7A CN112148623B (en) 2020-10-19 2020-10-19 LIMS-based intelligent complete scene test method

Publications (2)

Publication Number Publication Date
CN112148623A true CN112148623A (en) 2020-12-29
CN112148623B CN112148623B (en) 2024-06-14

Family

ID=73952183

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011114591.7A Active CN112148623B (en) 2020-10-19 2020-10-19 LIMS-based intelligent complete scene test method

Country Status (1)

Country Link
CN (1) CN112148623B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115150310A (en) * 2022-07-01 2022-10-04 北京百度网讯科技有限公司 Request generation method, processing method, device, electronic equipment and storage medium

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20160070410A (en) * 2014-12-10 2016-06-20 (주)파이온닷컴 System for testing an application use for a smart device and method therefor
CN105988904A (en) * 2015-02-06 2016-10-05 展讯通信(天津)有限公司 Self-adaptive testing method and system
CN106411637A (en) * 2016-09-13 2017-02-15 四川长虹电器股份有限公司 Internet-of-things device scenario testing method
CN106707771A (en) * 2015-11-12 2017-05-24 丰唐物联技术(深圳)有限公司 Test method and system for intelligent appliance
CN108255701A (en) * 2017-06-27 2018-07-06 平安普惠企业管理有限公司 Scrnario testing method and mobile terminal
CN108763076A (en) * 2018-05-22 2018-11-06 深圳乐信软件技术有限公司 A kind of Software Automatic Testing Method, device, equipment and medium
CN110147320A (en) * 2019-04-19 2019-08-20 平安普惠企业管理有限公司 Interface test method, device and electronic equipment
CN110514942A (en) * 2019-07-26 2019-11-29 安徽静深实业有限公司 A kind of electronic product test macro based on Internet of Things
CN111290905A (en) * 2018-12-07 2020-06-16 北京奇虎科技有限公司 Testing method and device for cloud platform of Internet of things
CN111444052A (en) * 2020-03-26 2020-07-24 杭州涂鸦信息技术有限公司 Production testing method, system and device thereof
CN111475413A (en) * 2020-04-02 2020-07-31 深圳创维-Rgb电子有限公司 Test method and device
CN111611168A (en) * 2020-05-22 2020-09-01 北京百度网讯科技有限公司 Joint debugging test method, device and system

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20160070410A (en) * 2014-12-10 2016-06-20 (주)파이온닷컴 System for testing an application use for a smart device and method therefor
CN105988904A (en) * 2015-02-06 2016-10-05 展讯通信(天津)有限公司 Self-adaptive testing method and system
CN106707771A (en) * 2015-11-12 2017-05-24 丰唐物联技术(深圳)有限公司 Test method and system for intelligent appliance
CN106411637A (en) * 2016-09-13 2017-02-15 四川长虹电器股份有限公司 Internet-of-things device scenario testing method
CN108255701A (en) * 2017-06-27 2018-07-06 平安普惠企业管理有限公司 Scrnario testing method and mobile terminal
CN108763076A (en) * 2018-05-22 2018-11-06 深圳乐信软件技术有限公司 A kind of Software Automatic Testing Method, device, equipment and medium
CN111290905A (en) * 2018-12-07 2020-06-16 北京奇虎科技有限公司 Testing method and device for cloud platform of Internet of things
CN110147320A (en) * 2019-04-19 2019-08-20 平安普惠企业管理有限公司 Interface test method, device and electronic equipment
CN110514942A (en) * 2019-07-26 2019-11-29 安徽静深实业有限公司 A kind of electronic product test macro based on Internet of Things
CN111444052A (en) * 2020-03-26 2020-07-24 杭州涂鸦信息技术有限公司 Production testing method, system and device thereof
CN111475413A (en) * 2020-04-02 2020-07-31 深圳创维-Rgb电子有限公司 Test method and device
CN111611168A (en) * 2020-05-22 2020-09-01 北京百度网讯科技有限公司 Joint debugging test method, device and system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
张泽江: "集成化家电测试软件关键技术", 《中国优秀硕士学位论文全文数据库》, no. 2016, pages 138 - 494 *
焦利敏 等: "智能家电语音交互测试方法研究", 《2019年中国家用电器技术大会论文集》, 21 October 2019 (2019-10-21), pages 1289 - 1298 *
王磊: "基于智能交互技术的自动化测试方法研究与实现", 《中国优秀硕士学问论文全文数据库》, no. 2010, 15 February 2010 (2010-02-15), pages 138 - 162 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115150310A (en) * 2022-07-01 2022-10-04 北京百度网讯科技有限公司 Request generation method, processing method, device, electronic equipment and storage medium
CN115150310B (en) * 2022-07-01 2024-09-17 北京百度网讯科技有限公司 Request generation method, request processing device, electronic equipment and storage medium

Also Published As

Publication number Publication date
CN112148623B (en) 2024-06-14

Similar Documents

Publication Publication Date Title
CN111525698B (en) Automatic data access method, device and system for low-voltage distribution network
CN108614443B (en) PHM system model development and verification platform design method
CN109636309A (en) Task processing method and device, electronic equipment and storage medium
CN112416369B (en) Intelligent deployment method oriented to heterogeneous mixed environment
CN110727670B (en) Data structure prediction transfer and automatic data processing method based on flow chart
CN107239337A (en) The distribution of virtual resources and dispatching method and system
WO2020238965A1 (en) Production environment performance evaluation method and apparatus, and storage medium
US7630951B2 (en) Method, program product, and apparatus for generating analysis model
CN112148623A (en) LIMS-based intelligent complete set of scene testing method
CN114169031A (en) Model consistency automatic comparison method and system based on CAD
CN115396352A (en) CMS server-side protocol testing method, system, equipment and storage medium
CN115374968A (en) Bank machine room management method, device and equipment
CN110631852A (en) Modular structure monitoring system and monitoring method
CN111897725B (en) Automatic test method, medium, equipment and system for middle platform service
CN109039714A (en) The management method and device of resource in cloud computing system
CN112255548B (en) Battery management system test method and system thereof
CN106202162B (en) It is a kind of for test recommend room data list test macro and method
CN108006925A (en) Air-conditioning stress test method, computer installation, computer-readable recording medium
JP7080199B2 (en) Production planning support system equipped with work man-hour prediction system and work man-hour prediction system
CN114239247B (en) PBOM-based associated material construction method, equipment and medium
CN109344050A (en) A kind of interface parameters analysis method and device based on structure tree
CN115333985A (en) CMS client protocol testing method, system, equipment and storage medium
CN110071948A (en) Internet of Things region grading control method, system and Internet of things system
CN116415385A (en) Fan joint debugging simulation method and device, server and computer storage medium
CN109325063B (en) Data management method and device

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