CN117152260A - Method and system for detecting residues of disinfection apparatus - Google Patents
Method and system for detecting residues of disinfection apparatus Download PDFInfo
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- 238000004659 sterilization and disinfection Methods 0.000 title claims abstract description 302
- 238000000034 method Methods 0.000 title claims abstract description 31
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 370
- 231100000719 pollutant Toxicity 0.000 claims abstract description 370
- 238000001514 detection method Methods 0.000 claims abstract description 152
- 238000004458 analytical method Methods 0.000 claims abstract description 49
- 239000000356 contaminant Substances 0.000 claims description 63
- 238000009423 ventilation Methods 0.000 claims description 44
- 230000001954 sterilising effect Effects 0.000 claims description 31
- 230000008859 change Effects 0.000 claims description 30
- 230000004927 fusion Effects 0.000 claims description 15
- 238000000605 extraction Methods 0.000 claims description 12
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000005457 optimization Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 18
- 239000000126 substance Substances 0.000 abstract description 5
- 230000033228 biological regulation Effects 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 9
- 241000894006 Bacteria Species 0.000 description 8
- 244000005700 microbiome Species 0.000 description 8
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 description 6
- 230000000737 periodic effect Effects 0.000 description 6
- IAYPIBMASNFSPL-UHFFFAOYSA-N Ethylene oxide Chemical compound C1CO1 IAYPIBMASNFSPL-UHFFFAOYSA-N 0.000 description 5
- 238000005070 sampling Methods 0.000 description 5
- 241000588724 Escherichia coli Species 0.000 description 3
- 230000000249 desinfective effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000036541 health Effects 0.000 description 3
- 241000607142 Salmonella Species 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 241000186361 Actinobacteria <class> Species 0.000 description 1
- 241000233866 Fungi Species 0.000 description 1
- 241000700721 Hepatitis B virus Species 0.000 description 1
- 241000709721 Hepatovirus A Species 0.000 description 1
- 241000191940 Staphylococcus Species 0.000 description 1
- 241000191967 Staphylococcus aureus Species 0.000 description 1
- 241000194017 Streptococcus Species 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61L—METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
- A61L2/00—Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor
- A61L2/24—Apparatus using programmed or automatic operation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61L—METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
- A61L2/00—Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor
- A61L2/26—Accessories or devices or components used for biocidal treatment
- A61L2/28—Devices for testing the effectiveness or completeness of sterilisation, e.g. indicators which change colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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Abstract
The invention provides a method and a system for detecting residues of disinfection apparatuses, which relate to the technical field of detection of disinfection effects, and the method comprises the following steps: acquiring target disinfection scene information and instrument attribute information of a target disinfection instrument; acquiring target residue information; obtaining a target disinfection sample set; obtaining a derived pollutant content set and an initial pollutant content set; obtaining a first equalization coefficient and a second equalization coefficient; obtaining a derivative pollutant detection result and an initial pollutant detection result; the detection result of the residues is formed, the technical problems that in the prior art, the detection result of the residual pollutants is inaccurate due to the fact that the analysis and the detection of new harmful substances are lacked, the detection efficiency is poor are solved, the matching degree of the detection result of the residues of the disinfection apparatus and an actual scene is improved, the detection efficiency and the accuracy are improved, the regulation and control of the disinfection apparatus are facilitated, and the technical effect of disinfection effect is improved.
Description
Technical Field
The invention relates to the technical field of disinfection effect detection, in particular to a disinfection instrument residue detection method and system.
Background
The disinfection apparatus is used for disinfecting and sterilizing a space or an appliance, comprises a plurality of different types of disinfection apparatuses, is widely applied to the fields of food, medical treatment and the like, but in the use process of the disinfection apparatus, the disinfection effect may deviate, the residues of pollutants can be caused, if the residues of the pollutants cannot be found in time, the disinfection object is continuously put into use, serious loss can be caused, and therefore, the detection of the residual pollutants of the disinfection apparatus has important practical significance.
At present, in the prior art, most of the existing pollutants of the disinfection objects are only detected, so that the disinfection effect of the disinfection apparatus is determined, however, new harmful substances possibly occur in the use process of the disinfection apparatus, the existing technology lacks of analysis and detection of the new harmful substances, the detection efficiency is poor, and the detection result of the residual pollutants is inaccurate.
Disclosure of Invention
The invention provides a method and a system for detecting residues of disinfection apparatuses, which are used for solving the technical problems of inaccurate detection results of residual pollutants caused by the lack of analysis and detection of new harmful substances and poor detection efficiency in the prior art.
According to a first aspect of the present invention there is provided a method of detecting a sterilizing instrument residue comprising: acquiring target disinfection scene information and instrument attribute information of a target disinfection instrument; acquiring target residue information, wherein the target residue information is a pollutant type obtained by analysis according to the target disinfection scene information and the instrument attribute information, and comprises target derivative pollutant information and target initial pollutant information; obtaining a target disinfection sample set, wherein the target disinfection sample set is a disinfection object sample obtained by sample acquisition according to the target disinfection scene information; detecting the pollutant content of the target disinfection sample set according to the target derived pollutant information and the target initial pollutant information to obtain a derived pollutant content set and an initial pollutant content set; performing content balance analysis on the derived pollutant content set and the initial pollutant content set to obtain a first balance coefficient and a second balance coefficient; respectively carrying out fusion analysis on the derived pollutant content set and the initial pollutant content set according to the first equilibrium coefficient and the second equilibrium coefficient to obtain derived pollutant detection results and initial pollutant detection results; and reading a preset derivative pollutant content and a preset initial pollutant content according to the target disinfection scene information, and calculating a first deviation of the derivative pollutant detection result and the preset derivative pollutant content and a second deviation of the initial pollutant detection result and the preset initial pollutant content, wherein the first deviation and the second deviation have positive and negative marks, and the first deviation and the second deviation form a residue detection result.
According to a second aspect of the present invention there is provided a sterilizing instrument residue detection system comprising: the basic information acquisition module is used for acquiring target disinfection scene information and instrument attribute information of a target disinfection instrument; the device comprises a residue information acquisition module, a target disinfection scene information acquisition module and a detection module, wherein the residue information acquisition module is used for acquiring target residue information, the target residue information is a pollutant type obtained by analysis according to the target disinfection scene information and the instrument attribute information, and the target residue information comprises target derivative pollutant information and target initial pollutant information; the disinfection sample collection module is used for obtaining a target disinfection sample set, wherein the target disinfection sample set is a disinfection object sample obtained by sample collection according to the target disinfection scene information; the pollutant detection module is used for detecting the pollutant content of the target disinfection sample set according to the target derived pollutant information and the target initial pollutant information to obtain a derived pollutant content set and an initial pollutant content set; the content balance analysis module is used for carrying out content balance analysis on the derived pollutant content set and the initial pollutant content set to obtain a first balance coefficient and a second balance coefficient; the content fusion analysis module is used for carrying out fusion analysis on the derived pollutant content set and the initial pollutant content set according to the first equilibrium coefficient and the second equilibrium coefficient respectively to obtain a derived pollutant detection result and an initial pollutant detection result; the residue detection result acquisition module is used for reading a preset derivative pollutant content and a preset initial pollutant content according to the target disinfection scene information, calculating a first deviation of the derivative pollutant detection result and the preset derivative pollutant content and a second deviation of the initial pollutant detection result and the preset initial pollutant content, wherein the first deviation and the second deviation have positive and negative marks, and the first deviation and the second deviation form a residue detection result.
According to one or more technical solutions adopted by the present invention, the following beneficial effects are achieved:
1. obtaining target disinfection scene information and instrument attribute information of a target disinfection instrument, obtaining target residue information, obtaining a target disinfection sample set, obtaining a derived pollutant content set and an initial pollutant content set, obtaining a first balance coefficient and a second balance coefficient, respectively carrying out fusion analysis on the derived pollutant content set and the initial pollutant content set according to the first balance coefficient and the second balance coefficient to obtain a derived pollutant detection result and an initial pollutant detection result, reading a preset derived pollutant content and a preset initial pollutant content according to the target disinfection scene information, calculating a first deviation of the derived pollutant detection result and the preset derived pollutant content and a second deviation of the initial pollutant detection result and the preset initial pollutant content, wherein the first deviation and the second deviation have positive and negative marks, and the first deviation and the second deviation form the residue detection result. From this the realization detects initial pollutant and derivative pollutant after the disinfection apparatus uses, combines the application scenario to analyze the content deviation of initial pollutant and derivative pollutant simultaneously, reaches the detection result that promotes disinfection apparatus residue and actual scene's degree of concordance, and then promotes detection efficiency and degree of accuracy, is convenient for assist the regulation and control of disinfection apparatus, promotes the technological effect of disinfection effect.
2. Extracting disinfection object attribute information according to target disinfection scene information, wherein the disinfection object attribute information comprises a space attribute and a physical appliance attribute, if the disinfection object attribute information is the space attribute, carrying out space division on a target disinfection space, collecting a plurality of air samples according to a space division result to obtain a plurality of air samples as disinfection object samples, if the disinfection object attribute information is the physical appliance attribute, carrying out image collection on a target disinfection appliance through a CCD (charge coupled device) image sensor to obtain an appliance image set, carrying out appliance placement position and appliance number identification according to the appliance image set, and extracting a plurality of appliances as disinfection object samples according to the appliance placement position and the appliance number, thereby providing support for subsequent detection of disinfection residues through analysis and extraction of the disinfection object samples, and simultaneously improving the detection efficiency and the detection accuracy.
3. Judging whether the first balance coefficient and the second balance coefficient are in preset balance coefficients or not, if so, calculating and obtaining derived pollutant content average values and initial pollutant content average values of the derived pollutant content set and the initial pollutant content set as derived pollutant detection results and initial pollutant detection results; if the first equalization coefficient and the second equalization coefficient are not in the preset equalization coefficient, respectively carrying out weighted calculation on the derived pollutant content set and the initial pollutant content set to obtain a derived pollutant detection result and an initial pollutant detection result, and accordingly carrying out pollutant content analysis and summarization according to the equalization coefficients to achieve the technical effects of improving the pollutant content detection precision and further improving the residue detection precision.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the following description will make a brief introduction to the drawings used in the description of the embodiments or the prior art. The accompanying drawings, which are included to provide a further understanding of the invention, illustrate and explain the present invention, and together with the description serve to explain the principle of the invention, if not to limit the invention, and to enable others skilled in the art to make and use the invention without undue effort.
FIG. 1 is a schematic flow chart of a method for detecting residues of a disinfecting apparatus according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a disinfection apparatus residue detection system according to an embodiment of the present invention.
Reference numerals illustrate: the device comprises a basic information acquisition module 11, a residue information acquisition module 12, a disinfection sample acquisition module 13, a pollutant detection module 14, a content balance analysis module 15, a content fusion analysis module 16 and a residue detection result acquisition module 17.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
The terminology used in the description is for the purpose of describing embodiments only and is not intended to be limiting of the invention. As used in this specification, the singular terms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and/or "comprising," when used in this specification, specify the presence of steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other steps, operations, elements, components, and/or groups thereof.
Unless defined otherwise, all terms (including technical and scientific terms) used in this specification should have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms, such as those defined in commonly used dictionaries, should not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Like numbers refer to like elements throughout.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for presentation, analyzed data, etc.) related to the present invention are information and data authorized by the user or sufficiently authorized by each party.
Example 1
Fig. 1 is a diagram of a method for detecting residues of a disinfection apparatus according to an embodiment of the present invention, where the method includes:
acquiring target disinfection scene information and instrument attribute information of a target disinfection instrument;
the target sterilizing apparatus refers to a sterilizing device which is used for sterilizing and comprises sterilizing equipment such as a high-pressure steam sterilizer, a sterilizing cabinet, a sterilizing machine, an ultraviolet sterilizing lamp and the like. The target sterilization scene information refers to an application scene in which sterilization operations have been performed using target sterilization instruments, such as sterilization of a sterile room, sterilization of tableware in a food cabinet, sterilization of room air, etc., and the instrument attribute information refers to sterilization principle attributes of the target sterilization instruments, such as sterilization by an ethylene oxide sterilizer, sterilization by an ultraviolet lamp, etc. Specifically, the method for detecting residues of disinfection apparatuses provided by the invention is suitable for detecting residues of pollutants in a disinfection scene after the disinfection is completed in the disinfection scene by using the disinfection apparatuses, that is, the disinfection apparatuses can not completely eliminate the pollutants such as bacteria and the like in the disinfection scene, and meanwhile, new pollutants can be generated, and if the content of the pollutants does not reach the standard, sanitary safety accidents can be caused, so that the residual pollutants such as bacteria and microorganisms and the new pollutants are required to be detected, and serious influence is prevented from being caused. The target disinfection scene information and the instrument attribute information can be uploaded by the user through the user terminal.
Acquiring target residue information, wherein the target residue information is a pollutant type obtained by analysis according to the target disinfection scene information and the instrument attribute information, and comprises target derivative pollutant information and target initial pollutant information;
in a preferred embodiment, further comprising:
matching a scene pollutant database based on the disinfection scene information to obtain the target initial pollutant information; performing matching of a disinfection derivative database based on the instrument attribute information to obtain the target derivative pollutant information; the target derived contaminant information and the target initial contaminant information constitute the target residue information.
The method comprises the steps of obtaining target residue information, wherein the target residue information is of a pollutant type obtained by analyzing according to target disinfection scene information and instrument attribute information, the target residue information comprises target derivative pollutant information and target initial pollutant information, the target derivative pollutant information refers to new harmful substances generated in a disinfection process of a target disinfection instrument, such as ozone generated by an ultraviolet sterilization lamp in the ultraviolet sterilization process, the ozone concentration can influence human health after reaching a certain height, ethylene oxide can be generated by an ethylene oxide sterilizer, the ethylene oxide concentration is too high and is easy to explode, and the human body is damaged. The target initial contaminant information refers to contaminants such as bacteria, microorganisms and the like existing in the disinfection scene before disinfection. Specifically, the process of obtaining the target derived contaminant information and the target initial contaminant information is as follows:
The scene pollutant database is matched based on the disinfection scene information to obtain the target initial pollutant information, in short, the pollutant types contained in different scenes are different, for example, staphylococcus, streptococcus, escherichia coli, salmonella, actinomycetes and the like are mainly killed when common indoor air disinfection is carried out, staphylococcus aureus, salmonella, escherichia coli, hepatitis A virus, hepatitis B virus, fungi, spores and the like are mainly killed when tableware is disinfected, that is, the pollutant types of bacteria, microorganisms and the like contained in a plurality of different disinfection scenes can be obtained from mass big data through the Internet based on the existing big data technology, and thus the scene pollutant database is formed. And further matching and acquiring the types of the pollutants such as bacteria, microorganisms and the like contained in the corresponding disinfection scene in the scene pollutant database according to the disinfection scene information to serve as the target initial pollutant information.
And matching a disinfection derivative database based on the instrument attribute information to obtain the target derivative pollutant information, wherein different disinfection instruments can generate different new pollutants such as ozone, ethylene oxide and the like in the using process, and the disinfection derivative database can be formed by acquiring pollutant types such as ozone and the like generated by a plurality of different types of disinfection instruments from massive big data through the Internet based on the existing big data technology. And further matching and acquiring the pollutant type contained in the corresponding disinfection instrument in the disinfection derivative database according to the instrument attribute information to serve as the target derivative pollutant information. The target derived contaminant information and the target initial contaminant information together comprise the target residue information. Therefore, analysis of the residue type is realized, a foundation is provided for subsequent residue detection, and inaccurate residue detection results caused by inaccurate residue type analysis are prevented, so that sanitary safety accidents are prevented.
Obtaining a target disinfection sample set, wherein the target disinfection sample set is a disinfection object sample obtained by sample acquisition according to the target disinfection scene information;
in a preferred embodiment, further comprising:
extracting disinfection object attribute information according to the target disinfection scene information, wherein the disinfection object attribute information comprises a space attribute and a physical appliance attribute; if the disinfection object attribute information is the space attribute, performing space division on a target disinfection space, and collecting a plurality of air samples according to a space division result to obtain a plurality of air samples as the disinfection object samples; if the disinfection object attribute information is the physical appliance attribute, acquiring an image of a target disinfection appliance through a CCD image sensor to obtain an appliance image set; and identifying the placement positions and the number of the appliances according to the appliance image set, and extracting a plurality of appliances serving as the disinfection object samples according to the placement positions and the number of the appliances.
In a preferred embodiment, further comprising:
the set of instrument images includes a plurality of different types of instrument images; performing gray level conversion on the appliance image to obtain an appliance gray level image; acquiring a gray distribution map according to the gray image of the appliance, periodically identifying gray change, and positioning the placement position of the appliance and the number of the appliances according to the gray change period; and according to the placement positions of the appliances and the number of the appliances, sequentially increasing the sample extraction amount from the outer layer to the inner layer to extract samples of the appliances, and extracting the plurality of appliances as the samples of the disinfection objects.
A target disinfection sample set is obtained, wherein the target disinfection sample set is a disinfection object sample obtained by sampling according to the target disinfection scene information, for example, if the target disinfection scene information is used for disinfecting indoor air, the target disinfection sample set comprises a plurality of collected air samples, and if the target disinfection scene information is an instrument such as tableware, part of tableware is extracted as the target disinfection sample set.
Specifically, disinfection object attribute information is extracted according to the target disinfection scene information, wherein the disinfection object attribute information comprises a spatial attribute and an entity appliance attribute, the spatial attribute refers to disinfection of the whole space, such as indoor space, sterile room air and the like, the entity appliance attribute refers to disinfection of the actual appliance, such as chopsticks, cups, cutters, gauze and the like, and the disinfection object attribute information can be uploaded through a user side after being determined by a user. If the attribute information of the disinfection object is the space attribute, the target disinfection space is a space after disinfection by the target disinfection apparatus, such as a certain room, and then the target disinfection space is divided into a plurality of areas with the same volume, specifically, the size and the dividing number of each area can be set by a user, the more the dividing number of the areas, the smaller the space volume of each area, the higher the subsequent detection precision, and the user can determine according to the actual requirement without limitation. And acquiring a plurality of air samples by using an existing air sampling method (such as vacuum bottle sampling, gas sampling, injector sampling and the like) according to the space division result, and obtaining a plurality of air samples of a plurality of areas as the sample of the disinfection object. Support is provided for subsequent residue detection.
If the attribute information of the disinfection objects is the attribute of the physical instruments, for example, the disinfection objects are chopsticks, cutters, gauze and other tableware, the image of the target disinfection instruments is collected by a CCD image sensor, an instrument image set is obtained, the placement positions of the instruments and the number of the instruments are identified according to the instrument image set, a plurality of instruments are extracted according to the placement positions of the instruments and the number of the instruments to serve as samples of the disinfection objects, in short, when the instruments are disinfected, the instruments may be stacked and placed on each other, then, the layer with the largest contact surface with air is taken as the outermost layer, the disinfection effect is gradually weakened from the outermost layer to the innermost layer, therefore, the number of samples extracted by each layer is different, and the more samples are extracted by the inner layer, and the specific process is as follows:
the set of appliance images includes a plurality of different types of appliance images, each appliance image being an image that reveals all appliances, such as if the appliances are stacked laterally, then image acquisition is performed on the front of the appliance image, ensuring that the resulting appliance image can display the location of each appliance, that is, that a plurality of appliances may be sterilized at a time, such as chopsticks, forks, spoons, etc. in a cutlery, together, but at different locations within a sterilizer, then the set of appliance images includes appliance images for each appliance. Further, the gray level conversion is a common technical means for those skilled in the art, so that the gray level conversion is not performed here, thereby obtaining the gray level image of the appliance. According to the gray level image of the appliance, a gray level distribution map is obtained, the gray level distribution map comprises gray level values of all pixel points on the gray level image of the appliance, gray level change periodic identification is carried out, in brief, a plurality of appliances of the same type are in one appliance image, the gray level value of any one appliance is the same under any condition no matter how illumination intensity, brightness and the like change during image acquisition, the change rule of the gray level value is the same, the gray level value of a certain pixel point is always larger than the gray level value of another pixel point, on the basis of the gray level distribution map, gray level change periodic identification is carried out on the whole appliance image, in brief, gray level value comparison is carried out on any two adjacent pixel points according to the gray level distribution map from any one pixel point at the most edge, if the gray level value of a second pixel point is larger than the gray level value of the second pixel point, ascending sign marking is carried out, otherwise, a plurality of marking results are obtained by comparing the gray level values between every two pixel points, the gray level change periodic identification is carried out according to the marking results, the gray level change periodic identification is carried out on the gray level change periodic identification is carried out, the gray level change periodic identification is carried out on the gray level change value is carried out by the gray level change value is the gray level change. Finally, according to the placement positions of the appliances and the number of the appliances, sequentially increasing the sample extraction amount from the outer layer to the inner layer to extract samples from the appliances, namely, the sample extraction amount at the outer layer is the least, the more the sample extraction amount is from the inner layer, specifically, 10% of the total number of the appliances is taken as the total sample extraction amount, then, the sample extraction amount is sequentially increased from the outer layer to the inner layer to distribute the sample extraction amount, so that the number of finally extracted samples is the same as the total sample extraction amount, the plurality of appliances are extracted as the sample to be disinfected, and the sample to be disinfected forms the target disinfection sample set. By extracting the sample of the disinfection object, support is provided for the detection of subsequent disinfection residues, and meanwhile, the detection efficiency and the detection accuracy are improved.
Detecting the pollutant content of the target disinfection sample set according to the target derived pollutant information and the target initial pollutant information to obtain a derived pollutant content set and an initial pollutant content set;
further, the target disinfection sample set is subjected to pollutant content detection according to the target derivative pollutant information and the target initial pollutant information to obtain a derivative pollutant content set and an initial pollutant content set, in short, different pollutants may need to be detected by using different sensors, such as a bacteria detector, an ATP detector, an escherichia coli detector, a microorganism detection device, an ozone detector and the like, the required sensor type needs to be determined according to the target derivative pollutant information and the target initial pollutant information, the corresponding sensor is obtained according to the actual situation, the pollutant content detection is carried out on the target disinfection sample set, the derivative pollutant content set and the initial pollutant content set can be directly obtained through the sensor, and the derivative pollutant content set and the initial pollutant content set respectively comprise the derivative pollutant content and the initial pollutant content corresponding to each disinfection object sample.
Performing content balance analysis on the derived pollutant content set and the initial pollutant content set to obtain a first balance coefficient and a second balance coefficient;
in a preferred embodiment, further comprising:
calculating and acquiring the first equilibrium coefficient according to the derivative pollutant content set:
；
wherein,for the first equalization coefficient,/o>For the +.>Content of derived contaminants,/->For the +.>A derived contaminant content, n being the total number of data in the set of derived contaminant contents;
and calculating and acquiring the second balance coefficient according to the initial pollutant content set.
Performing content balance analysis on the derived pollutant content set and the initial pollutant content set, namely that the pollutant contents on different disinfection object samples may be different, wherein any one derived pollutant content or initial pollutant content is not representative, and uniformity analysis is required to be performed to obtain a first balance coefficient and a second balance coefficient, and the specific process is as follows:
calculating and acquiring the first equilibrium coefficient according to the derivative pollutant content set:
；
Wherein,for the first equalization coefficient,/o>For the +.>Content of derived contaminants,/->For the +.>And (c) derived contaminant content, n being the total number of data in the derived contaminant content set.
And further calculating and acquiring the second equilibrium coefficient according to the initial pollutant content set:
；
wherein,for the second equalization coefficient,/o>For the first +.>Initial contaminant content,/->To the initial set of contaminant levelsFirst->And (c) initial contaminant content, m being the total number of data in the initial contaminant content set.
Therefore, the balance analysis of the derived pollutant content set and the initial pollutant content set is realized, a basis is provided for detecting residues of disinfection apparatuses, and the detection accuracy is further improved.
Respectively carrying out fusion analysis on the derived pollutant content set and the initial pollutant content set according to the first equilibrium coefficient and the second equilibrium coefficient to obtain derived pollutant detection results and initial pollutant detection results;
in a preferred embodiment, further comprising:
Judging whether the first balance coefficient and the second balance coefficient are in preset balance coefficients or not, if so, calculating and obtaining a derived pollutant content average value and an initial pollutant content average value of the derived pollutant content set and the initial pollutant content set as a derived pollutant detection result and an initial pollutant detection result; and if the first equalization coefficient and the second equalization coefficient are not in the preset equalization coefficient, respectively carrying out weighted calculation on the derivative pollutant content set and the initial pollutant content set to obtain the derivative pollutant detection result and the initial pollutant detection result, wherein the formula is as follows:
；
wherein,for the detection of said derivative contaminant, +.>For the +.>Content of derived contaminantsIs assigned according to the magnitude of the derived contaminant content in the set of derived contaminant contents, +.>For the +.>And (c) derived contaminant content, n being the total number of data in the derived contaminant content set.
According to the first equalization coefficient and the second equalization coefficient, respectively performing fusion analysis on the derived pollutant content set and the initial pollutant content set to obtain derived pollutant detection results and initial pollutant detection results, in short, respectively performing summarization analysis on the derived pollutant content set and the initial pollutant content set, wherein the specific process is as follows:
Judging whether the first equalization coefficient and the second equalization coefficient are in a preset equalization coefficient or not, wherein the preset equalization coefficient is set by a person skilled in the art and represents the deviation degree of data in the derivative pollutant content set and the initial pollutant content set, and can be obtained by the person skilled in the art through combining practical experience, for example, a data set with a smaller data change range can be selected to meet the expected data set, and then the equalization coefficient of the data set is calculated as the preset equalization coefficient by calculating the first equalization coefficient. If the first equalization coefficient and the second equalization coefficient are at predetermined equalization coefficients, calculating a derived pollutant content average value of the derived pollutant content set as the derived pollutant detection result, and calculating an initial pollutant content average value of the initial pollutant content set as the initial pollutant detection result, wherein if any one of the first equalization coefficient and the second equalization coefficient is at predetermined equalization coefficient, calculating a corresponding derived pollutant content set or pollutant content average value of the initial pollutant content set as the derived pollutant detection result or the initial pollutant detection result, thereby improving the calculation speed and further improving the residue detection efficiency.
If the first equalization coefficient and the second equalization coefficient are not in the preset equalization coefficient, indicating that the change degree of the pollutant content data in the derivative pollutant content set and the initial pollutant content set is larger, respectively carrying out weighted calculation on the derivative pollutant content set and the initial pollutant content set to obtain a derivative pollutant detection result and an initial pollutant detection result, wherein the formula is as follows:
；
wherein,for the detection of said derivative contaminant, +.>For the +.>Weight coefficient of derived contaminant content, according to size distribution of derived contaminant content in said set of derived contaminant content, +_>For the +.>And (c) derived contaminant content, n being the total number of data in the derived contaminant content set.
Similarly, the calculation mode of the initial pollutant detection result is as follows:
；
wherein,is saidInitial contaminant detection results,/->Weight coefficient for the j-th initial contaminant content in the initial contaminant content set according to the size distribution of the initial contaminant content in the initial contaminant content set,/ >For the first +.>And (c) initial contaminant content, m being the total number of data in the initial contaminant content set.
And reading a preset derivative pollutant content and a preset initial pollutant content according to the target disinfection scene information, and calculating a first deviation of the derivative pollutant detection result and the preset derivative pollutant content and a second deviation of the initial pollutant detection result and the preset initial pollutant content, wherein the first deviation and the second deviation have positive and negative marks, and the first deviation and the second deviation form a residue detection result.
The predetermined derived pollutant content and the predetermined initial pollutant content are read according to the target disinfection scene information, the predetermined derived pollutant content refers to the content of the derived pollutant allowed to exist in the target disinfection scene, for example, the ozone content which is harmful to human health is assumed to be the predetermined derived pollutant content, the predetermined initial pollutant content refers to the content of the pollutant allowed to exist in the target disinfection scene, such as bacteria, microorganisms and the like, for example, a small amount of microorganisms in a common room cannot influence human health, but the bacteria, microorganisms and the like are not allowed to exist in the sterile room, a surgical knife and the like, the corresponding predetermined initial pollutant content is 0, and specifically, the predetermined derived pollutant content and the predetermined initial pollutant content can be set by a user according to the actual target disinfection scene information by the user and uploaded through a user side, so that the actual requirements of the user are met. And further subtracting the predetermined derived pollutant content from the derived pollutant detection result to obtain a first deviation, subtracting the predetermined initial pollutant content from the initial pollutant detection result to obtain a second deviation, wherein the first deviation and the second deviation have positive and negative marks, and the first deviation and the second deviation form a residue detection result. In short, if the first deviation or the second deviation is positive, the derived pollutant detection result is greater than the predetermined derived pollutant content, or the initial pollutant detection result is greater than the predetermined initial pollutant content, which indicates that the derived pollutant or the initial pollutant content does not meet the standard, the disinfection effect of the target disinfection apparatus is poor, the disinfection object corresponding to the target disinfection apparatus, such as tableware and a sterile room, cannot be used continuously, and re-disinfection is required, so that the detection of the residues of the target disinfection apparatus is realized, the residual pollutants are conveniently detected, and the sanitation safety accident caused after the use is prevented.
In a preferred embodiment, further comprising:
carrying out deviation direction identification on the first deviation and the second deviation according to the positive and negative marks to obtain a first deviation direction and a second deviation direction; if the first deviation direction is positive, the second deviation direction is negative, and disinfection overload information and ventilation optimization instructions are generated and sent to a first manager; if the first deviation direction is negative, the second deviation direction is positive, and disinfection underload information is generated and sent to the first manager; and if the first deviation direction and the second deviation direction are both negative, generating disinfection abnormal information and sending the disinfection abnormal information to the first manager.
And carrying out deviation direction identification on the first deviation and the second deviation according to the positive and negative marks to obtain a first deviation direction and a second deviation direction, wherein the first deviation direction and the second deviation direction are positive deviation or negative deviation. If the first deviation direction is positive, the second deviation direction is negative, which indicates that the derived pollutant detection result is greater than the preset derived pollutant content, and the initial pollutant detection result is less than the preset initial pollutant content, disinfection overload information and ventilation optimization instructions are generated and sent to a first manager, and the first manager can be a user who uses and controls the target disinfection apparatus. That is, the content of the derived pollutants does not meet the standard, but the content of the initial pollutants meets the standard, which indicates that the disinfection effect of the target disinfection apparatus is qualified, but the derived pollutants generated by the target disinfection apparatus are more, the derived pollutants are required to be diffused out through ventilation, and a ventilation optimization instruction is generated to remind a first manager to regulate and control the ventilation device. Meanwhile, the fact that the power of the target disinfection apparatus is too high and the disinfection time is too long is indicated, so that a large amount of derivative pollutants are generated, disinfection overload information is generated, the disinfection overload information is used for reminding a first manager, the disinfection power and time of the target disinfection apparatus are too high, and when the target disinfection apparatus is used next time, the power can be properly adjusted, the disinfection effect is improved, and energy is saved.
If the first deviation direction is negative, the second deviation direction is positive, disinfection underload information is generated and sent to the first manager, the detection result of the derivative pollutant is smaller than the preset content of the derivative pollutant, the detection result of the initial pollutant is larger than the preset content of the initial pollutant, namely the content of the derivative pollutant meets the standard, but the content of the initial pollutant does not meet the standard, the disinfection effect of the target disinfection instrument is not qualified, and the generated derivative pollutant is less, so that disinfection underload information is generated and sent to the first manager, and the disinfection underload information is used for reminding the first manager that the disinfection effect of the target disinfection instrument is not good, a large amount of pollutants remain on a corresponding target disinfection object, the disinfection underload information cannot be used continuously, and when the target disinfection instrument is subjected to the same disinfection next time, the power and the disinfection time of the target disinfection instrument can be adjusted, so that the occurrence of sanitary safety accidents is prevented.
If the first deviation direction and the second deviation direction are both negative, the content of the initial pollutant does not meet the standard, the content of the derivative pollutant does not meet the standard, and at the moment, the disinfection of the target disinfection apparatus is abnormal, for example, the target disinfection object corresponding to the target disinfection apparatus is oversized, the target disinfection apparatus cannot complete the disinfection, or the target disinfection apparatus fails, and the like, disinfection abnormal information is generated at the moment and sent to the first manager for reminding the first manager to analyze and check the target disinfection apparatus and the corresponding target disinfection object, so that the abnormality can be found and processed in time.
In a preferred embodiment, further comprising:
acquiring a ventilation index of the target disinfection scene information; based on the detection result of the derivative pollutants, predicting the content change of the derivative pollutants according to the ventilation index to obtain a content prediction time sequence of the derivative pollutants; and obtaining a preset ventilation time according to the predicted time sequence of the derivative pollutant content and the preset derivative pollutant content, and marking the preset ventilation time to the ventilation optimizing instruction.
The ventilation index of the target disinfection scene information is obtained, the ventilation index is the ventilation quantity under unit time in the target disinfection scene, the ventilation index is specifically required to be determined according to ventilation equipment in the target disinfection scene, such as a ventilator, a ventilator and the like, the ventilation quantity of the ventilation equipment under unit time can be directly read as the ventilation index according to the operation power of the ventilation equipment and based on an instruction manual, the derivative pollutant content prediction time sequence is obtained by carrying out derivative pollutant content change prediction according to the ventilation index on the basis of the ventilation quantity detection result, in brief, the content of derivative pollutant gradually decreases along with the operation of the ventilation equipment, specifically, ventilation record data of the ventilation equipment with the same ventilation index can be obtained, the ventilation record data comprises component content change data of components in the air, which change the component content change data is changed along with time, the drawing of a change curve is carried out according to the component content change data, then the derivative pollutant detection result is taken as curve starting point data, the derivative pollutant content change trend is obtained based on the change trend of the derivative content corresponding to each time node, the derivative pollutant content prediction time sequence is selected, the derivative pollutant content is smaller than the preset time node is selected at the derivative pollutant content prediction time sequence, and the preset time sequence is adjusted to achieve the preset ventilation command, and the ventilation command is optimized, and the ventilation command is carried out, the ventilation command is adjusted, and the ventilation command is carried out.
Based on the analysis, the one or more technical schemes provided by the invention can achieve the following beneficial effects:
1. obtaining target disinfection scene information and instrument attribute information of a target disinfection instrument, obtaining target residue information, obtaining a target disinfection sample set, obtaining a derived pollutant content set and an initial pollutant content set, obtaining a first balance coefficient and a second balance coefficient, respectively carrying out fusion analysis on the derived pollutant content set and the initial pollutant content set according to the first balance coefficient and the second balance coefficient to obtain a derived pollutant detection result and an initial pollutant detection result, reading a preset derived pollutant content and a preset initial pollutant content according to the target disinfection scene information, calculating a first deviation of the derived pollutant detection result and the preset derived pollutant content and a second deviation of the initial pollutant detection result and the preset initial pollutant content, wherein the first deviation and the second deviation have positive and negative marks, and the first deviation and the second deviation form the residue detection result. From this the realization detects initial pollutant and derivative pollutant after the disinfection apparatus uses, combines the application scenario to analyze the content deviation of initial pollutant and derivative pollutant simultaneously, reaches the detection result that promotes disinfection apparatus residue and actual scene's degree of concordance, and then promotes detection efficiency and degree of accuracy, is convenient for assist the regulation and control of disinfection apparatus, promotes the technological effect of disinfection effect.
2. Extracting disinfection object attribute information according to target disinfection scene information, wherein the disinfection object attribute information comprises a space attribute and a physical appliance attribute, if the disinfection object attribute information is the space attribute, carrying out space division on a target disinfection space, collecting a plurality of air samples according to a space division result to obtain a plurality of air samples as disinfection object samples, if the disinfection object attribute information is the physical appliance attribute, carrying out image collection on a target disinfection appliance through a CCD (charge coupled device) image sensor to obtain an appliance image set, carrying out appliance placement position and appliance number identification according to the appliance image set, and extracting a plurality of appliances as disinfection object samples according to the appliance placement position and the appliance number, thereby providing support for subsequent detection of disinfection residues through analysis and extraction of the disinfection object samples, and simultaneously improving the detection efficiency and the detection accuracy.
3. Judging whether the first balance coefficient and the second balance coefficient are in preset balance coefficients or not, if so, calculating and obtaining derived pollutant content average values and initial pollutant content average values of the derived pollutant content set and the initial pollutant content set as derived pollutant detection results and initial pollutant detection results; if the first equalization coefficient and the second equalization coefficient are not in the preset equalization coefficient, respectively carrying out weighted calculation on the derived pollutant content set and the initial pollutant content set to obtain a derived pollutant detection result and an initial pollutant detection result, and accordingly carrying out pollutant content analysis and summarization according to the equalization coefficients to achieve the technical effects of improving the pollutant content detection precision and further improving the residue detection precision.
Example 2
Based on the same inventive concept as the method for detecting residues of a sterilization apparatus in the foregoing embodiments, as shown in fig. 2, the present invention also provides a sterilization apparatus residue detection system, which includes:
a basic information acquisition module 11, wherein the basic information acquisition module 11 is used for acquiring target disinfection scene information and instrument attribute information of a target disinfection instrument;
a residue information acquisition module 12, where the residue information acquisition module 12 is configured to acquire target residue information, where the target residue information is a type of contaminant obtained by analysis according to the target disinfection scene information and the instrument attribute information, and the target residue information includes target derived contaminant information and target initial contaminant information;
the disinfection sample collection module 13 is used for obtaining a target disinfection sample set, wherein the target disinfection sample set is a disinfection object sample obtained by sample collection according to the target disinfection scene information;
the pollutant detection module 14 is configured to detect a pollutant content in the target disinfection sample set according to the target derived pollutant information and the target initial pollutant information, so as to obtain a derived pollutant content set and an initial pollutant content set;
The content balance analysis module 15 is configured to perform content balance analysis on the derived pollutant content set and the initial pollutant content set, so as to obtain a first balance coefficient and a second balance coefficient;
the content fusion analysis module 16 is configured to perform fusion analysis on the derived pollutant content set and the initial pollutant content set according to the first equalization coefficient and the second equalization coefficient, so as to obtain a derived pollutant detection result and an initial pollutant detection result;
the residue detection result obtaining module 17 is configured to read a predetermined derived pollutant content and a predetermined initial pollutant content according to the target disinfection scene information, and calculate a first deviation of the derived pollutant detection result from the predetermined derived pollutant content, and a second deviation of the initial pollutant detection result from the predetermined initial pollutant content, where the first deviation and the second deviation have positive and negative signs, and the first deviation and the second deviation form a residue detection result.
Further, the basic information obtaining module 11 is further configured to:
Matching a scene pollutant database based on the disinfection scene information to obtain the target initial pollutant information;
performing matching of a disinfection derivative database based on the instrument attribute information to obtain the target derivative pollutant information;
the target derived contaminant information and the target initial contaminant information constitute the target residue information.
Further, the sterilization sample collection module 13 is further configured to:
extracting disinfection object attribute information according to the target disinfection scene information, wherein the disinfection object attribute information comprises a space attribute and a physical appliance attribute;
if the disinfection object attribute information is the space attribute, performing space division on a target disinfection space, and collecting a plurality of air samples according to a space division result to obtain a plurality of air samples as the disinfection object samples;
if the disinfection object attribute information is the physical appliance attribute, acquiring an image of a target disinfection appliance through a CCD image sensor to obtain an appliance image set;
and identifying the placement positions and the number of the appliances according to the appliance image set, and extracting a plurality of appliances serving as the disinfection object samples according to the placement positions and the number of the appliances.
Further, the sterilization sample collection module 13 is further configured to:
the set of instrument images includes a plurality of different types of instrument images;
performing gray level conversion on the appliance image to obtain an appliance gray level image;
acquiring a gray distribution map according to the gray image of the appliance, periodically identifying gray change, and positioning the placement position of the appliance and the number of the appliances according to the gray change period;
and according to the placement positions of the appliances and the number of the appliances, sequentially increasing the sample extraction amount from the outer layer to the inner layer to extract samples of the appliances, and extracting the plurality of appliances as the samples of the disinfection objects.
Further, the content balance analysis module 15 is further configured to:
calculating and acquiring the first equilibrium coefficient according to the derivative pollutant content set:
；
wherein,for the first equalization coefficient,/o>For the +.>Content of derived contaminants,/->For the +.>A derived contaminant content, n being the total number of data in the set of derived contaminant contents;
and calculating and acquiring the second balance coefficient according to the initial pollutant content set.
Further, the content fusion analysis module 16 is further configured to:
judging whether the first balance coefficient and the second balance coefficient are in preset balance coefficients or not, if so, calculating and obtaining a derived pollutant content average value and an initial pollutant content average value of the derived pollutant content set and the initial pollutant content set as a derived pollutant detection result and an initial pollutant detection result;
and if the first equalization coefficient and the second equalization coefficient are not in the preset equalization coefficient, respectively carrying out weighted calculation on the derivative pollutant content set and the initial pollutant content set to obtain the derivative pollutant detection result and the initial pollutant detection result, wherein the formula is as follows:
；
wherein,for the detection of said derivative contaminant, +.>For the +.>Weight coefficient of derived contaminant content, according to size distribution of derived contaminant content in said set of derived contaminant content, +_>For the +.>And (c) derived contaminant content, n being the total number of data in the derived contaminant content set.
Further, the system also includes a bias analysis module for:
Carrying out deviation direction identification on the first deviation and the second deviation according to the positive and negative marks to obtain a first deviation direction and a second deviation direction;
if the first deviation direction is positive, the second deviation direction is negative, and disinfection overload information and ventilation optimization instructions are generated and sent to a first manager;
if the first deviation direction is negative, the second deviation direction is positive, and disinfection underload information is generated and sent to the first manager;
and if the first deviation direction and the second deviation direction are both negative, generating disinfection abnormal information and sending the disinfection abnormal information to the first manager.
Further, the deviation analysis module is further configured to:
acquiring a ventilation index of the target disinfection scene information;
based on the detection result of the derivative pollutants, predicting the content change of the derivative pollutants according to the ventilation index to obtain a content prediction time sequence of the derivative pollutants;
and obtaining a preset ventilation time according to the predicted time sequence of the derivative pollutant content and the preset derivative pollutant content, and marking the preset ventilation time to the ventilation optimizing instruction.
A specific example of a sterilizing apparatus residue detection method according to the first embodiment is also applicable to a sterilizing apparatus residue detection system according to the present embodiment, and a person skilled in the art will be aware of a sterilizing apparatus residue detection system according to the present embodiment from the foregoing detailed description of a sterilizing apparatus residue detection method, so that the detailed description thereof will not be repeated for brevity.
It should be understood that the various forms of flow shown above, reordered, added or deleted steps may be used, as long as the desired results of the disclosed embodiments are achieved, and are not limiting herein.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (9)
1. A method of detecting a sterilizing instrument residue, the method comprising:
acquiring target disinfection scene information and instrument attribute information of a target disinfection instrument;
acquiring target residue information, wherein the target residue information is a pollutant type obtained by analysis according to the target disinfection scene information and the instrument attribute information, and comprises target derivative pollutant information and target initial pollutant information;
Obtaining a target disinfection sample set, wherein the target disinfection sample set is a disinfection object sample obtained by sample acquisition according to the target disinfection scene information;
detecting the pollutant content of the target disinfection sample set according to the target derived pollutant information and the target initial pollutant information to obtain a derived pollutant content set and an initial pollutant content set;
performing content balance analysis on the derived pollutant content set and the initial pollutant content set to obtain a first balance coefficient and a second balance coefficient;
respectively carrying out fusion analysis on the derived pollutant content set and the initial pollutant content set according to the first equilibrium coefficient and the second equilibrium coefficient to obtain derived pollutant detection results and initial pollutant detection results;
and reading a preset derivative pollutant content and a preset initial pollutant content according to the target disinfection scene information, and calculating a first deviation of the derivative pollutant detection result and the preset derivative pollutant content and a second deviation of the initial pollutant detection result and the preset initial pollutant content, wherein the first deviation and the second deviation have positive and negative marks, and the first deviation and the second deviation form a residue detection result.
2. The method of claim 1, wherein the obtaining target residue information comprises:
matching a scene pollutant database based on the disinfection scene information to obtain the target initial pollutant information;
performing matching of a disinfection derivative database based on the instrument attribute information to obtain the target derivative pollutant information;
the target derived contaminant information and the target initial contaminant information constitute the target residue information.
3. The method of claim 1, wherein the obtaining a set of target disinfection samples, the set of target disinfection samples being disinfection object samples obtained by sample collection according to the target disinfection scene information, comprises:
extracting disinfection object attribute information according to the target disinfection scene information, wherein the disinfection object attribute information comprises a space attribute and a physical appliance attribute;
if the disinfection object attribute information is the space attribute, performing space division on a target disinfection space, and collecting a plurality of air samples according to a space division result to obtain a plurality of air samples as the disinfection object samples;
if the disinfection object attribute information is the physical appliance attribute, acquiring an image of a target disinfection appliance through a CCD image sensor to obtain an appliance image set;
And identifying the placement positions and the number of the appliances according to the appliance image set, and extracting a plurality of appliances serving as the disinfection object samples according to the placement positions and the number of the appliances.
4. A method according to claim 3, wherein the performing appliance placement position and appliance number recognition from the appliance image set, extracting a plurality of appliances as the disinfection target samples from the appliance placement position and the appliance number comprises:
the set of instrument images includes a plurality of different types of instrument images;
performing gray level conversion on the appliance image to obtain an appliance gray level image;
acquiring a gray distribution map according to the gray image of the appliance, periodically identifying gray change, and positioning the placement position of the appliance and the number of the appliances according to the gray change period;
and according to the placement positions of the appliances and the number of the appliances, sequentially increasing the sample extraction amount from the outer layer to the inner layer to extract samples of the appliances, and extracting the plurality of appliances as the samples of the disinfection objects.
5. The method of claim 1, wherein said performing a content equalization analysis on said derived contaminant content set and said initial contaminant content set to obtain a first equalization coefficient and a second equalization coefficient comprises:
Calculating and acquiring the first equilibrium coefficient according to the derivative pollutant content set:
；
wherein,for the first equalization coefficient,/o>For the +.>The content of each derived contaminant is determined,for the +.>A derived contaminant content, n being the total number of data in the set of derived contaminant contents;
and calculating and acquiring the second balance coefficient according to the initial pollutant content set.
6. The method of claim 1, wherein the performing a fusion analysis of the derived and initial contaminant-content sets based on the first and second equalization coefficients, respectively, comprises:
judging whether the first balance coefficient and the second balance coefficient are in preset balance coefficients or not, if so, calculating and obtaining a derived pollutant content average value and an initial pollutant content average value of the derived pollutant content set and the initial pollutant content set as a derived pollutant detection result and an initial pollutant detection result;
and if the first equalization coefficient and the second equalization coefficient are not in the preset equalization coefficient, respectively carrying out weighted calculation on the derivative pollutant content set and the initial pollutant content set to obtain the derivative pollutant detection result and the initial pollutant detection result, wherein the formula is as follows:
；
Wherein,for the detection of said derivative contaminant, +.>For the +.>Weight coefficient of derived contaminant content, according to size distribution of derived contaminant content in said set of derived contaminant content, +_>For the +.>And (c) derived contaminant content, n being the total number of data in the derived contaminant content set.
7. The method as recited in claim 1, further comprising:
carrying out deviation direction identification on the first deviation and the second deviation according to the positive and negative marks to obtain a first deviation direction and a second deviation direction;
if the first deviation direction is positive, the second deviation direction is negative, and disinfection overload information and ventilation optimization instructions are generated and sent to a first manager;
if the first deviation direction is negative, the second deviation direction is positive, and disinfection underload information is generated and sent to the first manager;
and if the first deviation direction and the second deviation direction are both negative, generating disinfection abnormal information and sending the disinfection abnormal information to the first manager.
8. The method of claim 7, wherein if the first bias direction is positive and the second bias direction is negative, generating and transmitting disinfection overload information and ventilation optimization instructions to a first manager, further comprising:
Acquiring a ventilation index of the target disinfection scene information;
based on the detection result of the derivative pollutants, predicting the content change of the derivative pollutants according to the ventilation index to obtain a content prediction time sequence of the derivative pollutants;
and obtaining a preset ventilation time according to the predicted time sequence of the derivative pollutant content and the preset derivative pollutant content, and marking the preset ventilation time to the ventilation optimizing instruction.
9. A sterile instrument residue detection system for performing the steps of any one of the sterile instrument residue detection methods of claims 1-8, said system comprising:
the basic information acquisition module is used for acquiring target disinfection scene information and instrument attribute information of a target disinfection instrument;
the device comprises a residue information acquisition module, a target disinfection scene information acquisition module and a detection module, wherein the residue information acquisition module is used for acquiring target residue information, the target residue information is a pollutant type obtained by analysis according to the target disinfection scene information and the instrument attribute information, and the target residue information comprises target derivative pollutant information and target initial pollutant information;
The disinfection sample collection module is used for obtaining a target disinfection sample set, wherein the target disinfection sample set is a disinfection object sample obtained by sample collection according to the target disinfection scene information;
the pollutant detection module is used for detecting the pollutant content of the target disinfection sample set according to the target derived pollutant information and the target initial pollutant information to obtain a derived pollutant content set and an initial pollutant content set;
the content balance analysis module is used for carrying out content balance analysis on the derived pollutant content set and the initial pollutant content set to obtain a first balance coefficient and a second balance coefficient;
the content fusion analysis module is used for carrying out fusion analysis on the derived pollutant content set and the initial pollutant content set according to the first equilibrium coefficient and the second equilibrium coefficient respectively to obtain a derived pollutant detection result and an initial pollutant detection result;
the residue detection result acquisition module is used for reading a preset derivative pollutant content and a preset initial pollutant content according to the target disinfection scene information, calculating a first deviation of the derivative pollutant detection result and the preset derivative pollutant content and a second deviation of the initial pollutant detection result and the preset initial pollutant content, wherein the first deviation and the second deviation have positive and negative marks, and the first deviation and the second deviation form a residue detection result.
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