CN107876530A - One kind experiment house infrastructure intelligence cleaning method - Google Patents

One kind experiment house infrastructure intelligence cleaning method Download PDF

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Publication number
CN107876530A
CN107876530A CN201711019876.0A CN201711019876A CN107876530A CN 107876530 A CN107876530 A CN 107876530A CN 201711019876 A CN201711019876 A CN 201711019876A CN 107876530 A CN107876530 A CN 107876530A
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CN
China
Prior art keywords
cleaning
image
target item
similarity
comparative result
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Pending
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CN201711019876.0A
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Chinese (zh)
Inventor
张然
袁巍
王跃
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ANHUI YU'AN LABORATORY EQUIPMENT Co Ltd
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ANHUI YU'AN LABORATORY EQUIPMENT Co Ltd
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Application filed by ANHUI YU'AN LABORATORY EQUIPMENT Co Ltd filed Critical ANHUI YU'AN LABORATORY EQUIPMENT Co Ltd
Priority to CN201711019876.0A priority Critical patent/CN107876530A/en
Publication of CN107876530A publication Critical patent/CN107876530A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B08CLEANING
    • B08BCLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
    • B08B13/00Accessories or details of general applicability for machines or apparatus for cleaning

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  • Cleaning By Liquid Or Steam (AREA)

Abstract

The invention discloses one kind to test house infrastructure intelligence cleaning method, including:S1, target item to be cleaned is divided into two parts, and the target item to Part I, the target item of Part II carry out first time cleaning respectively;Second image of the first image of the target item of the Part I after S2, collection cleaning for the first time, the target item of Part II, draws comparative result with the first pre-set image, the second image by the first image compared with the second pre-set image respectively;S3, according to above-mentioned comparative result formulate second of cleaning program the target item of Part I and the target item of Part II are cleaned.The present invention judges the efficiency of cleaning for the first time and the clean level of two parts target item by the effect after analyzing the cleaning for the first time of two-part target item, second of cleaning program is formulated further according to the clean level of two parts target item, realizes comprehensive to target item, efficient cleaning.

Description

One kind experiment house infrastructure intelligence cleaning method
Technical field
The present invention relates to intelligent cleaning method technical field, more particularly to a kind of experiment house infrastructure intelligence cleaning side Method.
Background technology
No matter in middle and primary schools, R&D institution, all kinds of universities and colleges, laboratory is equipped with, use for laboratory enters in for different personnel Row scientific exploration is tested.In experimentation, the clean level of various infrastructure can directly influence the standard of experimental result True property and precision, such as:Beaker, test tube etc. experimental article.Therefore, the cleaning of experiment house infrastructure is kept to be advantageous to carry The efficiency of high experimentation and the precision of experimental result.
The content of the invention
Based on technical problem existing for background technology, the present invention proposes a kind of experiment house infrastructure intelligence cleaning side Method.
Experiment house infrastructure intelligence cleaning method proposed by the present invention, comprises the following steps:
S1, target item to be cleaned is divided into two parts, and the target item to Part I, Part II respectively Target item carries out first time cleaning;
The first image, the target item of Part II of the target item of Part I after S2, collection cleaning for the first time The second image, the first image is drawn into ratio with the first pre-set image, the second image compared with the second pre-set image respectively Relatively result;
S3, target item and Part II of second of cleaning program to Part I are formulated according to above-mentioned comparative result Target item cleaned.
Preferably, step S2 is specifically included:
The first image and the first pre-set image, the second image and the second pre-set image are subjected to similarity comparison respectively, obtained Go out the first similarity M1With the second similarity M2, then based on the first similarity M1With the second similarity M2Draw comparative result:
When | M1-M2During |≤A, the first comparative result is drawn;
Work as A<|M1-M2|<During B, the second comparative result is drawn;
When | M1-M2During | >=B, the 3rd comparative result is drawn;
Wherein, A, B are preset value and A<B.
Preferably, step S3 is specifically included:
According to the operating power of step S2 comparative result second of cleaning program of adjustment and working time;
When step S2 draws the first comparative result, the operating power of second of cleaning program of adjustment remains P1, work Time remains t1
When step S2 draws the second comparative result, the operating power of second of cleaning program of adjustment remains P2, work Time remains t2
When step S2 draws three comparative results, the operating power of second of cleaning program of adjustment remains P3, work Time remains t3
Wherein, P2<P3<P1, t2<t3<t1
Preferably, step S1 also includes:
The cleaning model cleaned next time according to the adjustment of step S2 comparative result;
Work as A<|M1-M2|<During B, the cleaning dynamics in cleaning process next time are increased;
When | M1-M2During | >=B, the cleaning dynamics in cleaning process next time are increased, and, scavenging period;
Preferably, the object of the cleaning module target item to Part I, Part II respectively is utilized in step S1 Product carry out first time cleaning, and increase cleaning dynamics by increasing the operating power of cleaning module.
Preferably, the cleaning module includes multiple cleaning submodules, the installation sites of multiple cleaning submodules not phase Together.
Preferably, in step S2, the first image and the first pre-set image, the second image and the second pre-set image are entered respectively Row similarity comparison, draw the first similarity M1With the second similarity M2, specifically include:
The first gray level image, the second gray level image are obtained as gray proces to the first image, the second image, calculate respectively The similarity of each pixel in one gray level image and the first pre-set image, the second gray level image and the second pre-set image, then base In the first similarity of Similarity Measure M of each pixel1, the second similarity M2
Experiment house infrastructure intelligence cleaning method proposed by the present invention, is divided into two by target item to be cleaned first Part simultaneously carries out first time cleaning, and effect after then being cleaned for the first time by analyzing two-part target item judges first The efficiency of secondary cleaning and the clean level of two parts target item, finally come further according to the clean level of two parts target item Second of cleaning program is formulated, realizes comprehensive to target item, efficient cleaning.Further, experiment proposed by the present invention House infrastructure intelligence cleaning method, first is adjusted to the analysis result of first time cleaning performance always according in second step To the cleaning model of two parts target item in step, to improve the efficiency of first time cleaning process and cleaning performance, pass through The once mating reaction of cleaning and second of cleaning carrys out cleaning performance of the general warranty to target item, so as to ensure in laboratory The cleanliness factor of infrastructure is to improve experiment effect.
Brief description of the drawings
Fig. 1 is a kind of step schematic diagram for testing house infrastructure intelligence cleaning method.
Embodiment
As shown in figure 1, Fig. 1 is a kind of experiment house infrastructure intelligence cleaning method proposed by the present invention.
Reference picture 1, experiment house infrastructure intelligence cleaning method proposed by the present invention, comprises the following steps:
S1, target item to be cleaned is divided into two parts, and the target item to Part I, Part II respectively Target item carries out first time cleaning;
The first image, the target item of Part II of the target item of Part I after S2, collection cleaning for the first time The second image, the first image is drawn into ratio with the first pre-set image, the second image compared with the second pre-set image respectively Relatively result;
S3, target item and Part II of second of cleaning program to Part I are formulated according to above-mentioned comparative result Target item cleaned.
In the above method, the effect of first time cleaning is acquired and analyzed first, and be according to analysis result judgement It is no to need to carry out second of cleaning, and, the specific pattern of second of cleaning operation, realized by cleaning operation to object Product are comprehensive and efficiently clean, and the good cleanliness factor of the holding of the infrastructure in laboratory is ensured the effect tested every time.
In present embodiment, step S2 is specifically included:
The first image and the first pre-set image, the second image and the second pre-set image are subjected to similarity comparison respectively, obtained Go out the first similarity M1With the second similarity M2, then based on the first similarity M1With the second similarity M2Comparative result is drawn, is passed through The effect of cleaning for the first time can clearly and directly be drawn by calculating similarity;Present embodiment by analyze the first similarity with The difference of second similarity is judged in the first cleaning process to the target item of Part I and the target item of Part II Cleaning performance, by comparing cleaning of two similarities come target item and the target item of Part II to Part I Effect carries out self-test, improves the specific aim and validity of cleaning performance inspection;Specifically:
When | M1-M2During |≤A, show that the first similarity and the second similarity difference are smaller, i.e., by the of cleaning for the first time The clean level of the target item of a part and the target item of Part II is higher or relatively low, is now raising pair comprehensively The cleaning performance of target item, draw the first comparative result;
Work as A<|M1-M2|<During B, show that there is some difference for the first similarity and the second similarity, i.e., by clear for the first time The cleaning performance of at least one part is poor in the target item for the Part I washed and the target item of Part II, now Draw the second comparative result;
When | M1-M2During | >=B, show to have in two values of the first similarity and the second similarity that a value is larger, another value It is smaller, that is, there are the cleannes of the target item of a part poor, now draw the 3rd comparative result;
Wherein, A, B are preset value and A<B.
It is compared by the similarity of the target item to two parts, two Similarity values can be utilized to two portions The first time cleaning performance of the target item divided carries out self-test, is advantageous to clean first time to improve by improving self-test precision The detection of effect, provided accurately and effectively with reference to basis to formulate second of cleaning program in subsequent step.
In present embodiment, step S3 is specifically included:
According to the operating power of step S2 comparative result second of cleaning program of adjustment and working time;By adjusting work The rate of doing work changes cleaning dynamics, to ensure effective cleaning to two parts target item;Improved by adjusting the working time Cleaning efficiency, the cleaning performance to two parts target item is improved comprehensively;
When step S2 draws the first comparative result, the operating power of second of cleaning program of adjustment remains P1, work Time remains t1
When step S2 draws the second comparative result, the operating power of second of cleaning program of adjustment remains P2, work Time remains t2
When step S2 draws three comparative results, the operating power of second of cleaning program of adjustment remains P3, work Time remains t3
Wherein, P2<P3<P1, t2<t3<t1;According to first time cleaning effect come formulate the dynamics of second of cleaning and when Between, be advantageous to targetedly improve the efficiency of second of cleaning, target item is kept good cleanliness factor, so as to keep testing The cleaning of house infrastructure.
In example is further carried out, step S1 also includes:
The cleaning model cleaned next time according to the adjustment of step S2 comparative result;
Work as A<|M1-M2|<During B, the cleaning dynamics in cleaning process next time are increased;
When | M1-M2During | >=B, the cleaning dynamics in cleaning process next time are increased, and, scavenging period;
Preferably, the object of the cleaning module target item to Part I, Part II respectively is utilized in step S1 Product carry out first time cleaning, and increase cleaning dynamics by increasing the operating power of cleaning module;
By the analysis to first time cleaning performance, and as to next group experimental article carry out for the first time clean when Cleaning program adjustment foundation, be advantageous to targetedly to improve the effect of cleaning for the first time, so as to ensure to experimental article Integral cleaning efficiency.
Preferably, the cleaning module includes multiple cleaning submodules, the installation sites of multiple cleaning submodules not phase Together, to be cleaned from diverse location different angle to the target item of Part I and the target item of Part II, favorably In raising cleaning performance.
In example is further carried out, in step S2, respectively by the first image and the first pre-set image, the second image and Two pre-set images carry out similarity comparison, draw the first similarity M1With the second similarity M2, specifically include:
The first gray level image, the second gray level image are obtained as gray proces to the first image, the second image, calculate respectively The similarity of each pixel in one gray level image and the first pre-set image, the second gray level image and the second pre-set image, then base In the first similarity of Similarity Measure M of each pixel1, the second similarity M2.By to the first gray level image and the second gray scale The similarity of each pixel is calculated and analyzed in image, is advantageous to improve the accurate of the first similarity and the second similarity Property, to judge that first time cleaning performance provides standard by analyzing the value of the first similarity and the second similarity in present embodiment Truly have the reference basis of power.
The experiment house infrastructure intelligence cleaning method that present embodiment proposes, first by target item to be cleaned point For two parts and first time cleaning is carried out, effect after then cleaning for the first time by analyzing two-part target item judges The efficiency of cleaning and the clean level of two parts target item for the first time, finally further according to the clean journey of two parts target item Spend to formulate second of cleaning program, realize comprehensive to target item, efficient cleaning.Further, present embodiment carries The experiment house infrastructure intelligence cleaning method gone out, the analysis result of first time cleaning performance is come always according in second step Adjust in first step to the cleaning model of two parts target item, imitated with improving the efficiency of first time cleaning process and cleaning Fruit, by cleaning performance of the mating reaction of first time cleaning and second of cleaning come general warranty to target item, so as to protect Confirm to test the cleanliness factor of house infrastructure to improve experiment effect.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto, Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its Inventive concept is subject to equivalent substitution or change, should all be included within the scope of the present invention.

Claims (6)

1. one kind experiment house infrastructure intelligence cleaning method, it is characterised in that comprise the following steps:
S1, target item to be cleaned is divided into two parts, and the target of the target item to Part I, Part II respectively Article carries out first time cleaning;
S2, collection clean for the first time after the first image of target item of Part I, Part II target item the Two images, the first image is drawn with the first pre-set image, the second image compared with the second pre-set image compare knot respectively Fruit;
S3, according to above-mentioned comparative result formulate second of cleaning program to the target item of Part I and the mesh of Part II Mark article is cleaned.
2. experiment house infrastructure intelligence cleaning method according to claim 1, it is characterised in that step S2 is specifically wrapped Include:
The first image and the first pre-set image, the second image and the second pre-set image are subjected to similarity comparison respectively, draw the One similarity M1With the second similarity M2, then based on the first similarity M1With the second similarity M2Draw comparative result:
When | M1-M2During |≤A, the first comparative result is drawn;
Work as A<|M1-M2|<During B, the second comparative result is drawn;
When | M1-M2During | >=B, the 3rd comparative result is drawn;
Wherein, A, B are preset value and A<B.
3. experiment house infrastructure intelligence cleaning method according to claim 2, it is characterised in that step S3 is specifically wrapped Include:
According to the operating power of step S2 comparative result second of cleaning program of adjustment and working time;
When step S2 draws the first comparative result, the operating power of second of cleaning program of adjustment remains P1, the working time protect Hold as t1
When step S2 draws the second comparative result, the operating power of second of cleaning program of adjustment remains P2, the working time protect Hold as t2
When step S2 draws three comparative results, the operating power of second of cleaning program of adjustment remains P3, the working time protect Hold as t3
Wherein, P2<P3<P1, t2<t3<t1
4. experiment house infrastructure intelligence cleaning method according to claim 2, it is characterised in that step S1 is also wrapped Include:
The cleaning model cleaned next time according to the adjustment of step S2 comparative result;
Work as A<|M1-M2|<During B, the cleaning dynamics in cleaning process next time are increased;
When | M1-M2During | >=B, the cleaning dynamics in cleaning process next time are increased, and, scavenging period;
Preferably, in step S1 using cleaning module respectively the target item to Part I, Part II target item enter Row cleans for the first time, and increases cleaning dynamics by increasing the operating power of cleaning module.
5. experiment house infrastructure intelligence cleaning method according to claim 4, it is characterised in that the cleaning module Including multiple cleaning submodules, the installation site of multiple cleaning submodules differs.
6. experiment house infrastructure intelligence cleaning method according to claim 2, it is characterised in that in step S2, point The first image and the first pre-set image, the second image and the second pre-set image are not subjected to similarity comparison, show that first is similar Spend M1With the second similarity M2, specifically include:
The first gray level image, the second gray level image are obtained as gray proces to the first image, the second image, calculate the first ash respectively The similarity of each pixel in image and the first pre-set image, the second gray level image and the second pre-set image is spent, then based on every The first similarity of Similarity Measure M of individual pixel1, the second similarity M2
CN201711019876.0A 2017-10-27 2017-10-27 One kind experiment house infrastructure intelligence cleaning method Pending CN107876530A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109460092A (en) * 2018-08-11 2019-03-12 西华大学 Device parameter control system and method in a kind of streptonigrin compound extraction process
CN111439238A (en) * 2020-05-08 2020-07-24 济南睿达物联网有限公司 Automatic car washing device based on internet of things information
CN113409279A (en) * 2021-06-24 2021-09-17 北京车和家信息技术有限公司 Effect evaluation method, device, equipment and medium of laser radar cleaning system
CN114345803A (en) * 2021-12-30 2022-04-15 沈阳仪表科学研究院有限公司 Cooling tower cleaning device
CN115178554A (en) * 2022-06-23 2022-10-14 宁波星巡智能科技有限公司 Intelligent cleaning method, device and equipment for feeding bottle based on machine vision

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EP1989986B1 (en) * 2007-05-07 2009-09-16 MEIKO Maschinenbau GmbH & Co. KG Disinfection control by selecting target germs
CN102008278A (en) * 2009-09-07 2011-04-13 松下电器产业株式会社 Dishware cleaning machine
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109460092A (en) * 2018-08-11 2019-03-12 西华大学 Device parameter control system and method in a kind of streptonigrin compound extraction process
CN111439238A (en) * 2020-05-08 2020-07-24 济南睿达物联网有限公司 Automatic car washing device based on internet of things information
CN111439238B (en) * 2020-05-08 2021-11-02 济南睿达物联网有限公司 Automatic car washing device based on internet of things information
CN113409279A (en) * 2021-06-24 2021-09-17 北京车和家信息技术有限公司 Effect evaluation method, device, equipment and medium of laser radar cleaning system
CN114345803A (en) * 2021-12-30 2022-04-15 沈阳仪表科学研究院有限公司 Cooling tower cleaning device
CN115178554A (en) * 2022-06-23 2022-10-14 宁波星巡智能科技有限公司 Intelligent cleaning method, device and equipment for feeding bottle based on machine vision
CN115178554B (en) * 2022-06-23 2024-03-12 宁波星巡智能科技有限公司 Intelligent cleaning method, device and equipment for feeding bottle based on machine vision

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