CN116818995B - Multi-class bactericide product stability test platform based on big data analysis - Google Patents
Multi-class bactericide product stability test platform based on big data analysis Download PDFInfo
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- 230000000844 anti-bacterial effect Effects 0.000 title claims abstract description 31
- 239000003899 bactericide agent Substances 0.000 title claims abstract description 31
- 238000013112 stability test Methods 0.000 title claims abstract description 15
- 238000007405 data analysis Methods 0.000 title claims abstract description 12
- 238000004458 analytical method Methods 0.000 claims abstract description 282
- 238000000034 method Methods 0.000 claims abstract description 67
- 230000007613 environmental effect Effects 0.000 claims abstract description 40
- 238000012545 processing Methods 0.000 claims abstract description 27
- 238000011156 evaluation Methods 0.000 claims description 74
- 238000012360 testing method Methods 0.000 claims description 40
- 230000001954 sterilising effect Effects 0.000 claims description 12
- 238000004659 sterilization and disinfection Methods 0.000 claims description 12
- 230000001105 regulatory effect Effects 0.000 claims description 7
- 238000000926 separation method Methods 0.000 claims description 7
- 230000003115 biocidal effect Effects 0.000 claims description 5
- 239000003139 biocide Substances 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 230000001580 bacterial effect Effects 0.000 claims description 2
- 238000012937 correction Methods 0.000 claims description 2
- 238000012797 qualification Methods 0.000 abstract description 6
- 238000009966 trimming Methods 0.000 abstract description 4
- 238000001514 detection method Methods 0.000 description 2
- 239000003619 algicide Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000013043 chemical agent Substances 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000002070 germicidal effect Effects 0.000 description 1
- -1 germicide Substances 0.000 description 1
- 230000003641 microbiacidal effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001717 pathogenic effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a multi-class bactericide product stability test platform based on big data analysis, relates to the technical field of product stability test, and solves the technical problems that in the prior art, stability judgment cannot be carried out according to environmental changes, and meanwhile, the possibility of floating of a product according to environmental parameters of an actual application area cannot be analyzed; the invention analyzes the real-time input environment of the analysis object, judges whether the environment parameter of the current analysis object is in the environment floating interval, judges whether the processing environment of the analysis object has risks, and pertinently adjusts the corresponding analysis object in the processing process, thereby improving the processing efficiency of the analysis object; and the operation efficiency of the used analysis object is evaluated, and whether the operation efficiency of the analysis object meets the requirement after finishing the processing and the trimming is judged, so that the work qualification of the analysis object is determined, and the stability of the analysis object is further judged while the processing and the trimming feasibility is detected.
Description
Technical Field
The invention relates to the technical field of product stability test, in particular to a multi-class bactericide product stability test platform based on big data analysis.
Background
The bactericide is also called as biocide, germicide, algicide, microbiocide, etc., and is generally referred to as chemical agent capable of effectively controlling or killing microbes in water system, and is generally internationally known as a medicament for preventing and treating various pathogenic microbes, and is mainly divided into two kinds of agricultural bactericides and industrial bactericides.
However, in the prior art, during the processing of the bactericide product, stability determination cannot be performed according to environmental changes, meanwhile stability adjustment priority classification cannot be performed according to analysis of the possibility of floating of environmental parameters of an area where the product is actually put into use, so that adjustment efficiency is reduced, and in addition, operation parameters used in real time cannot be monitored in a targeted manner, so that operation efficiency evaluation accuracy is reduced;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems and provides a multi-class bactericide product stability test platform based on big data analysis, which is used for carrying out performance parameter analysis on a bactericide, judging the performance parameter grade of the current bactericide, judging whether the performance of the current bactericide is qualified according to the corresponding performance parameter grade, and improving the qualification of the bactericide test stability; and (3) carrying out environmental impact analysis on the analysis object, and judging whether the performance parameters of the analysis object are affected under different environments, so that the performance stability of the analysis object is tested in the processing process, and the use efficiency of the analysis object is improved.
The aim of the invention can be achieved by the following technical scheme:
Multi-class bactericide product stability test platform based on big data analysis, including test platform, test platform communication is connected with:
The performance parameter analysis unit is used for performing performance parameter analysis on the bactericide, marking the bactericide as an analysis object, setting a label i, wherein i is a natural number larger than 1, acquiring a performance parameter analysis coefficient of the analysis object in the operation process, and dividing the analysis object into a primary performance product, a secondary performance product and a tertiary performance product according to the comparison of the performance parameter analysis coefficients;
The environment influence analysis unit is used for carrying out environment influence analysis on the analysis object, carrying out environment adjustment according to the processing process of the analysis object, carrying out non-intersection acquisition on a proper environment parameter threshold value of the current analysis object and an environment parameter threshold value controllable by the environment equipment in the processing process, setting a corresponding non-intersection threshold value as an environment floating interval of the analysis object, generating an environment influence signal or an environment influence-free signal through analysis, and sending the environment influence signal or the environment influence-free signal to the test platform;
the environment feasibility analysis unit is used for analyzing the real-time input environment of the analysis object, and dividing the analysis object influenced by the environment into a priority rectifying object and a secondary rectifying object through analysis;
The operation efficiency evaluation unit is used for performing operation efficiency evaluation on the analysis object which is put into use, generating an operation efficiency evaluation qualified signal or an operation efficiency evaluation unqualified signal through the operation efficiency evaluation, and sending the operation efficiency evaluation qualified signal or the operation efficiency evaluation unqualified signal to the test platform.
As a preferred embodiment of the present invention, the performance parameter analysis unit operates as follows:
Acquiring the interval duration between the time when an analysis object is put into use and the time when the flora is reduced in the running process and the duration of the flora reduction in the running process; collecting the storable duration of the analysis object in the operation process of the analysis object; obtaining a performance parameter analysis coefficient of an analysis object in the operation process through analysis;
Comparing the performance parameter analysis coefficient of the analysis object in the running process with the performance parameter analysis coefficient thresholds L1 and L2: wherein L1 > L2 > 0;
If the performance parameter analysis coefficient of the analysis object exceeds L1 in the running process, marking the corresponding analysis object as a primary performance product; if the performance parameter analysis coefficient of the analysis object exceeds L2 and does not exceed L1 in the operation process, marking the corresponding analysis object as a secondary performance product; and if the performance parameter analysis coefficient of the analysis object does not exceed L2 in the operation process, marking the corresponding analysis object as a three-level performance product.
As a preferred embodiment of the invention, the environmental impact analysis unit operates as follows:
The method comprises the steps of collecting the floating span of the performance parameter value of the analysis object in the environment floating interval and the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating, and analyzing the floating span of the performance parameter value of the analysis object in the environment floating interval and the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating:
If the environment is regulated until the floating span of the performance parameter value of the analysis object in the environment floating interval exceeds a floating span threshold value, and the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating is a reducing trend, generating an environment influence signal and transmitting the environment influence signal to a test platform;
And if the environment is regulated until the floating span of the performance parameter value of the analysis object in the environment floating interval does not exceed the floating span threshold, or the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating is a constant trend, generating an environment-friendly signal and transmitting the environment-friendly signal to the test platform.
As a preferred embodiment of the present invention, the operation of the environmental feasibility analysis unit is as follows:
collecting a deviation value of a maximum critical value and a minimum critical value of an environment floating interval when the environment parameter of the analysis object to be put into use is not in the environment floating interval and a separation value of the maximum critical value and the maximum critical value of the environment floating interval when the environment parameter of the analysis object to be put into use is in the environment floating interval, and comparing the deviation value with a deviation value threshold and a separation value threshold respectively:
If the deviation value of the maximum critical value and the minimum critical value of the environment floating interval when the environment parameter of the analysis object to be used is not in the environment floating interval does not exceed the deviation value threshold, or the interval value of the maximum critical value and the maximum critical value of the environment floating interval when the environment parameter of the analysis object to be used is in the environment floating interval exceeds the interval value threshold, setting a priority setting object corresponding to the analysis object, and sending the priority setting object to a test platform;
If the deviation value of the maximum critical value and the minimum critical value of the environment floating interval of the analysis object to be used does not exceed the deviation value threshold value when the environment parameter of the analysis object to be used is in the environment floating interval, and the interval value of the maximum critical value and the maximum critical value of the environment floating interval of the analysis object to be used does not exceed the interval value threshold value, setting the next integer object corresponding to the analysis object, and sending the next integer object to the test platform.
As a preferred embodiment of the present invention, the operation process of the operation efficiency evaluation unit is as follows:
When an analysis object is put into use, acquiring a current working demand, taking a performance parameter corresponding to the current working demand as an evaluation parameter, wherein the working demand is represented as removal, continuous sterilization and quick sterilization of a large bacterial population in a current use area, the performance parameter is represented as a performance parameter analysis coefficient acquiring a corresponding parameter, and if the working demand needs long-time sterilization, the continuous sterilization duration of the performance parameter is taken as the evaluation parameter;
the method comprises the steps of collecting the excessive output of an evaluation parameter value and a preset demand parameter value of an analysis object after the analysis object is put into use and the frequency of the evaluation parameter value lower than the preset demand parameter value in the process of putting into use, and comparing the excessive output of the evaluation parameter value and the preset demand parameter value of the analysis object after the analysis object is put into use and the frequency of the evaluation parameter value lower than the preset demand parameter value in the process of putting into use with an excessive output threshold value and a frequency threshold value respectively:
If the excessive output of the evaluation parameter value and the preset demand parameter value exceeds the excessive output threshold value after the analysis object is put into use, and the frequency of the evaluation parameter value lower than the preset demand parameter value in the process of being put into use is not lower than the frequency threshold value, generating an operation efficiency evaluation qualified signal and sending the operation efficiency evaluation qualified signal to a test platform; if the excessive output of the evaluation parameter value and the preset demand parameter value does not exceed the excessive output threshold after the analysis object is put into use, or if the frequency of the evaluation parameter value lower than the preset demand parameter value exceeds the frequency threshold in the process of being put into use, generating an operation efficiency evaluation disqualification signal and sending the operation efficiency evaluation disqualification signal to a test platform.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the invention, the performance parameter analysis is carried out on the bactericide, the performance parameter grade of the current bactericide is judged, and whether the performance of the current bactericide is qualified or not is judged according to the corresponding performance parameter grade, so that the qualification of the bactericide test stability is improved; and (3) carrying out environmental impact analysis on the analysis object, and judging whether the performance parameters of the analysis object are affected under different environments, so that performance stability test is carried out on the analysis object in the processing process, the use efficiency of the analysis object is improved, and the inefficiency caused by environmental impact in the use process of the analysis object is prevented.
2. According to the invention, the real-time input environment of the analysis object is analyzed, and whether the environment parameters of the current analysis object in use are in the environment floating interval is judged, so that whether the processing environment of the analysis object has risks is judged, and the corresponding analysis object is subjected to targeted adjustment in the processing process, so that the processing efficiency of the analysis object is improved; and (3) evaluating the operation efficiency of the used analysis object, and judging whether the operation efficiency of the analysis object meets the requirement after finishing the processing and the trimming, so as to determine the work qualification of the analysis object, and further judge the stability of the analysis object while detecting the feasibility of the processing and the trimming.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic block diagram of a multi-class biocide product stability test platform of the present invention based on big data analysis.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description of the technical solutions of the present invention will be made in detail, but it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention, with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, a multi-class bactericide product stability test platform based on big data analysis comprises a test platform, wherein the test platform is in communication connection with an environmental impact analysis unit, an environmental feasibility analysis unit, a performance parameter analysis unit and an operation efficiency evaluation unit, and the test platform is in two-way communication connection with the environmental impact analysis unit, the environmental feasibility analysis unit, the performance parameter analysis unit and the operation efficiency evaluation unit;
The test platform generates a performance parameter analysis signal and sends the performance parameter analysis signal to the performance parameter analysis unit, the performance parameter analysis unit performs performance parameter analysis on the bactericide after receiving the performance parameter analysis signal, judges the performance parameter grade of the current bactericide, and judges whether the performance of the current bactericide is qualified according to the corresponding performance parameter grade, so that the qualification of the bactericide test stability is improved;
Marking a bactericide as an analysis object, setting a label i, wherein i is a natural number larger than 1, collecting the interval duration between the operation time of the analysis object and the reduction time of the flora and the duration of the reduction of the flora in the operation process, and marking the interval duration between the operation time of the analysis object and the reduction time of the flora and the duration of the reduction of the flora in the operation process as SJVi and CXSi respectively; collecting the storable duration of the analysis object in the operation process of the analysis object, and marking the storable duration of the analysis object in the operation process of the analysis object as CCSi;
Acquiring a performance parameter analysis coefficient Ci of an analysis object in the operation process through a formula , wherein f1, f2 and f3 are preset proportional coefficients, f1 is more than f2 and more than f3 is more than 0, beta is an error correction factor, and the value is 1.1;
Comparing the performance parameter analysis coefficient Ci of the analysis object in the operation process with the performance parameter analysis coefficient thresholds L1 and L2: wherein L1 > L2 > 0;
if the performance parameter analysis coefficient Ci of the analysis object exceeds L1 in the operation process, marking the corresponding analysis object as a primary performance product; if the performance parameter analysis coefficient Ci of the analysis object exceeds L2 and does not exceed L1 in the operation process, marking the corresponding analysis object as a secondary performance product; if the performance parameter analysis coefficient Ci of the analysis object does not exceed L2 in the operation process, marking the corresponding analysis object as a three-level performance product;
The test platform generates an environmental impact analysis signal and sends the environmental impact analysis signal to the environmental impact analysis unit, the environmental impact analysis unit analyzes the environmental impact of the analysis object after receiving the environmental impact analysis signal, and judges whether the performance parameters of the analysis object are affected under different environments, so that the performance stability of the analysis object is tested in the processing process, the use efficiency of the analysis object is improved, and the inefficiency caused by the environmental impact in the use process of the analysis object is prevented;
Performing environment adjustment according to the processing process of the analysis object, wherein the environment adjustment is represented by temperature numerical adjustment, humidity numerical adjustment and the like; acquiring a proper environment parameter threshold value of a current analysis object and an environment parameter threshold value controllable by environment equipment in a processing process, setting the corresponding non-intersection threshold value as an environment floating interval of the analysis object, acquiring a floating span of the performance parameter value of the analysis object in the environment floating interval and a floating trend of the analysis coefficient of the performance parameter corresponding to the analysis object after the performance parameter value floats, and analyzing the floating span of the performance parameter value of the analysis object in the environment floating interval and the floating trend of the analysis coefficient of the performance parameter corresponding to the analysis object after the performance parameter value floats after the environment is regulated to the environment floating interval:
If the environment is regulated until the floating span of the performance parameter value of the analysis object in the environment floating interval exceeds a floating span threshold value, and the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating is a reducing trend, generating an environment influence signal and transmitting the environment influence signal to a test platform;
If the environment is regulated until the floating span of the performance parameter value of the analysis object in the environment floating interval does not exceed a floating span threshold value, or the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating is a constant trend, generating an environment-friendly signal and transmitting the environment-friendly signal to a test platform, wherein the constant trend is represented as that the numerical floating span of the analysis coefficient does not exceed a set threshold value;
After receiving the environmental impact signal, the test platform generates an environmental feasibility analysis signal and sends the environmental feasibility analysis signal to an environmental feasibility analysis unit, and after receiving the environmental feasibility analysis signal, the environmental feasibility analysis unit analyzes the real-time input environment of the analysis object and judges whether the environmental parameters of the current analysis object in use are in an environmental floating interval, so as to judge whether the processing environment of the analysis object has risks or not, and pertinently mount the corresponding analysis object in the processing process, thereby improving the processing efficiency of the analysis object;
Collecting a deviation value of a maximum critical value and a minimum critical value of an environment floating interval when the environment parameter of the analysis object is not in the environment floating interval and a separation value of the maximum critical value and the maximum critical value of the environment floating interval when the environment parameter of the analysis object is in the environment floating interval, and comparing the deviation value of the maximum critical value and the minimum critical value of the environment floating interval when the environment parameter of the analysis object is not in the environment floating interval and the separation value of the maximum critical value and the maximum critical value of the environment floating interval when the environment parameter of the analysis object is in the environment floating interval with a deviation value threshold and a separation value threshold respectively:
If the deviation value of the maximum critical value and the minimum critical value of the environment floating interval when the environment parameter of the analysis object to be used is not in the environment floating interval does not exceed the deviation value threshold, or the interval value of the maximum critical value and the maximum critical value of the environment floating interval when the environment parameter of the analysis object to be used is in the environment floating interval exceeds the interval value threshold, setting a priority setting object corresponding to the analysis object, and sending the priority setting object to a test platform; if the deviation value of the maximum critical value and the minimum critical value of the environment floating interval of the analysis object to be used is not more than the deviation value threshold value, and the interval value of the maximum critical value and the maximum critical value of the environment floating interval of the environment parameter to be used is not more than the interval value threshold value, setting a next integer object corresponding to the analysis object, and sending the next integer object to a test platform;
After receiving the priority orderly objects, the test platform generates a product use dangerous signal and sends the product use dangerous signal to an administrator terminal if the priority orderly objects are three-level performance products, and carries out stability management and control on the corresponding priority orderly objects; if the priority setting object is a primary performance product or a secondary performance product, generating a product use early warning signal, sending the product use early warning signal to an administrator terminal, and adjusting the stability of the corresponding priority setting object; the stability control means that the performance parameters of the product are controlled, the stability after the control is ensured to be qualified, the stability adjustment means that the performance parameters of the product are controlled, and the stability requirement is met on the premise that the performance parameters of the product are minimum in adjustment, namely, the trial-and-error adjustment can be set;
The test platform generates an operation efficiency evaluation signal and sends the operation efficiency evaluation signal to an operation efficiency evaluation unit, and the operation efficiency evaluation unit evaluates the operation efficiency of an analysis object which is put into use after receiving the operation efficiency evaluation signal, judges whether the operation efficiency of the analysis object meets the requirement after finishing processing and finishing, thereby determining the work qualification of the analysis object, detecting the processing and finishing feasibility and further judging the stability of the analysis object;
When an analysis object is put into use, acquiring a current working demand, taking a performance parameter corresponding to the current working demand as an evaluation parameter, wherein the working demand is expressed as requirements of large flora removal, continuous sterilization, quick sterilization and the like in a current use area, the performance parameter is expressed as a performance parameter analysis coefficient to acquire a corresponding parameter, and if the working demand needs long-time sterilization, the continuous sterilization duration of the performance parameter is taken as the evaluation parameter;
the method comprises the steps of collecting the excessive output of an evaluation parameter value and a preset demand parameter value of an analysis object after the analysis object is put into use and the frequency of the evaluation parameter value lower than the preset demand parameter value in the process of putting into use, and comparing the excessive output of the evaluation parameter value and the preset demand parameter value of the analysis object after the analysis object is put into use and the frequency of the evaluation parameter value lower than the preset demand parameter value in the process of putting into use with an excessive output threshold value and a frequency threshold value respectively:
If the excessive output of the evaluation parameter value and the preset demand parameter value exceeds the excessive output threshold value after the analysis object is put into use, and the frequency of the evaluation parameter value lower than the preset demand parameter value in the process of being put into use is not lower than the frequency threshold value, generating an operation efficiency evaluation qualified signal and sending the operation efficiency evaluation qualified signal to a test platform;
If the excessive output of the evaluation parameter value and the preset demand parameter value does not exceed the excessive output threshold after the analysis object is put into use, or if the frequency of the evaluation parameter value lower than the preset demand parameter value exceeds the frequency threshold in the process of putting into use, generating an operation efficiency evaluation disqualified signal and sending the operation efficiency evaluation disqualified signal to a test platform, and after receiving the operation efficiency evaluation disqualified signal, carrying out performance parameter detection and stability detection on the analysis object in the same batch by the test platform.
When the method is used, the performance parameter analysis unit is used for performing performance parameter analysis on the bactericide, marking the bactericide as an analysis object, obtaining the performance parameter analysis coefficient of the analysis object in the operation process, and dividing the analysis object into a primary performance product, a secondary performance product and a tertiary performance product according to the comparison of the performance parameter analysis coefficient; performing environmental impact analysis on the analysis object through an environmental impact analysis unit, performing environmental regulation according to the processing process of the analysis object, performing non-intersection acquisition on a proper environmental parameter threshold value of the current analysis object and an environmental parameter threshold value controllable by environmental equipment in the processing process, setting a corresponding non-intersection threshold value as an environmental floating interval of the analysis object, generating an environmental impact signal or an environmental influence-free signal through analysis, and transmitting the environmental influence-free signal to a test platform; analyzing the real-time input environment of the analysis object through the environment feasibility analysis unit, and dividing the analysis object influenced by the environment into a priority rectifying object and a second rectifying object through analysis; and carrying out operation efficiency evaluation on the analysis object which is put into use through an operation efficiency evaluation unit, generating an operation efficiency evaluation qualified signal or an operation efficiency evaluation unqualified signal through the operation efficiency evaluation, and sending the operation efficiency evaluation qualified signal or the operation efficiency evaluation unqualified signal to a test platform.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; the preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. Multi-class bactericide product stability test platform based on big data analysis, its characterized in that includes test platform, and test platform communication is connected with:
The performance parameter analysis unit is used for performing performance parameter analysis on the bactericide, marking the bactericide as an analysis object, setting a label i, wherein i is a natural number larger than 1, acquiring a performance parameter analysis coefficient of the analysis object in the operation process, and dividing the analysis object into a primary performance product, a secondary performance product and a tertiary performance product according to the comparison of the performance parameter analysis coefficients; the operation process of the performance parameter analysis unit is as follows:
Acquiring the interval duration between the operation time and the flora reduction time of the analysis object in the operation process and the duration of the flora reduction in the operation process, and marking the interval duration between the operation time and the flora reduction time of the analysis object in the operation process and the duration of the flora reduction in the operation process as SJVi and CXSi respectively; collecting the storable duration of the analysis object in the operation process of the analysis object, and marking the storable duration of the analysis object in the operation process of the analysis object as CCSi;
Acquiring a performance parameter analysis coefficient Ci of an analysis object in the operation process through a formula , wherein f1, f2 and f3 are preset proportional coefficients, f1 is more than f2 and more than f3 is more than 0, beta is an error correction factor, and the value is 1.1;
Comparing the performance parameter analysis coefficient Ci of the analysis object in the operation process with the performance parameter analysis coefficient thresholds L1 and L2: wherein L1 > L2 > 0;
If the performance parameter analysis coefficient of the analysis object exceeds L1 in the running process, marking the corresponding analysis object as a primary performance product; if the performance parameter analysis coefficient of the analysis object exceeds L2 and does not exceed L1 in the operation process, marking the corresponding analysis object as a secondary performance product; if the performance parameter analysis coefficient of the analysis object in the running process does not exceed L2, marking the corresponding analysis object as a three-level performance product;
The environment influence analysis unit is used for carrying out environment influence analysis on the analysis object, carrying out environment adjustment according to the processing process of the analysis object, carrying out non-intersection acquisition on a proper environment parameter threshold value of the current analysis object and an environment parameter threshold value controllable by the environment equipment in the processing process, setting a corresponding non-intersection threshold value as an environment floating interval of the analysis object, generating an environment influence signal or an environment influence-free signal through analysis, and sending the environment influence signal or the environment influence-free signal to the test platform;
the environment feasibility analysis unit is used for analyzing the real-time input environment of the analysis object, and dividing the analysis object influenced by the environment into a priority rectifying object and a secondary rectifying object through analysis;
The operation efficiency evaluation unit is used for performing operation efficiency evaluation on the analysis object which is put into use, generating an operation efficiency evaluation qualified signal or an operation efficiency evaluation unqualified signal through the operation efficiency evaluation, and sending the operation efficiency evaluation qualified signal or the operation efficiency evaluation unqualified signal to the test platform.
2. The multi-class biocide product stability test platform based on big data analysis of claim 1, wherein the environmental impact analysis unit operates as follows:
The method comprises the steps of collecting the floating span of the performance parameter value of the analysis object in the environment floating interval and the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating, and analyzing the floating span of the performance parameter value of the analysis object in the environment floating interval and the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating:
If the environment is regulated until the floating span of the performance parameter value of the analysis object in the environment floating interval exceeds a floating span threshold value, and the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating is a reducing trend, generating an environment influence signal and transmitting the environment influence signal to a test platform;
And if the environment is regulated until the floating span of the performance parameter value of the analysis object in the environment floating interval does not exceed the floating span threshold, or the floating trend of the performance parameter analysis coefficient corresponding to the analysis object after the performance parameter value is floating is a constant trend, generating an environment-friendly signal and transmitting the environment-friendly signal to the test platform.
3. The multi-class biocide product stability test platform based on big data analysis of claim 1, wherein the environmental feasibility analysis unit operates as follows:
collecting a deviation value of a maximum critical value and a minimum critical value of an environment floating interval when the environment parameter of the analysis object to be put into use is not in the environment floating interval and a separation value of the maximum critical value and the maximum critical value of the environment floating interval when the environment parameter of the analysis object to be put into use is in the environment floating interval, and comparing the deviation value with a deviation value threshold and a separation value threshold respectively:
If the deviation value of the maximum critical value and the minimum critical value of the environment floating interval when the environment parameter of the analysis object to be used is not in the environment floating interval does not exceed the deviation value threshold, or the interval value of the maximum critical value and the maximum critical value of the environment floating interval when the environment parameter of the analysis object to be used is in the environment floating interval exceeds the interval value threshold, setting a priority setting object corresponding to the analysis object, and sending the priority setting object to a test platform;
If the deviation value of the maximum critical value and the minimum critical value of the environment floating interval of the analysis object to be used does not exceed the deviation value threshold value when the environment parameter of the analysis object to be used is in the environment floating interval, and the interval value of the maximum critical value and the maximum critical value of the environment floating interval of the analysis object to be used does not exceed the interval value threshold value, setting the next integer object corresponding to the analysis object, and sending the next integer object to the test platform.
4. The multi-class biocide product stability test platform based on big data analysis of claim 1, wherein the operation of the operation efficiency evaluation unit is as follows:
When an analysis object is put into use, acquiring a current working demand, taking a performance parameter corresponding to the current working demand as an evaluation parameter, wherein the working demand is represented as removal, continuous sterilization and quick sterilization of a large bacterial population in a current use area, the performance parameter is represented as a performance parameter analysis coefficient acquiring a corresponding parameter, and if the working demand needs long-time sterilization, the continuous sterilization duration of the performance parameter is taken as the evaluation parameter;
the method comprises the steps of collecting the excessive output of an evaluation parameter value and a preset demand parameter value of an analysis object after the analysis object is put into use and the frequency of the evaluation parameter value lower than the preset demand parameter value in the process of putting into use, and comparing the excessive output of the evaluation parameter value and the preset demand parameter value of the analysis object after the analysis object is put into use and the frequency of the evaluation parameter value lower than the preset demand parameter value in the process of putting into use with an excessive output threshold value and a frequency threshold value respectively:
If the excessive output of the evaluation parameter value and the preset demand parameter value exceeds the excessive output threshold value after the analysis object is put into use, and the frequency of the evaluation parameter value lower than the preset demand parameter value in the process of being put into use is not lower than the frequency threshold value, generating an operation efficiency evaluation qualified signal and sending the operation efficiency evaluation qualified signal to a test platform; if the excessive output of the evaluation parameter value and the preset demand parameter value does not exceed the excessive output threshold after the analysis object is put into use, or if the frequency of the evaluation parameter value lower than the preset demand parameter value exceeds the frequency threshold in the process of being put into use, generating an operation efficiency evaluation disqualification signal and sending the operation efficiency evaluation disqualification signal to a test platform.
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