CN117170333B - Clean room environment monitoring management system - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 246
- 238000005070 sampling Methods 0.000 claims abstract description 76
- 238000004659 sterilization and disinfection Methods 0.000 claims abstract description 56
- 238000012216 screening Methods 0.000 claims abstract description 27
- 238000005265 energy consumption Methods 0.000 claims abstract description 25
- 238000000034 method Methods 0.000 claims abstract description 25
- 238000007726 management method Methods 0.000 claims abstract description 20
- 239000000463 material Substances 0.000 claims description 71
- 238000004519 manufacturing process Methods 0.000 claims description 51
- 230000007613 environmental effect Effects 0.000 claims description 29
- 238000004364 calculation method Methods 0.000 claims description 20
- 238000006243 chemical reaction Methods 0.000 claims description 20
- 239000002994 raw material Substances 0.000 claims description 20
- 239000013589 supplement Substances 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 12
- 238000010801 machine learning Methods 0.000 claims description 10
- 238000012549 training Methods 0.000 claims description 10
- 230000001502 supplementing effect Effects 0.000 claims description 9
- 238000010586 diagram Methods 0.000 claims description 8
- 238000012163 sequencing technique Methods 0.000 claims description 5
- 238000004806 packaging method and process Methods 0.000 claims description 4
- 238000012806 monitoring device Methods 0.000 claims description 2
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- 230000000694 effects Effects 0.000 abstract description 6
- 238000001514 detection method Methods 0.000 abstract 1
- 239000002245 particle Substances 0.000 description 15
- 239000003344 environmental pollutant Substances 0.000 description 11
- 231100000719 pollutant Toxicity 0.000 description 11
- 238000004458 analytical method Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000001954 sterilising effect Effects 0.000 description 3
- 238000005299 abrasion Methods 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000003749 cleanliness Effects 0.000 description 1
- 239000000356 contaminant Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
Abstract
The application relates to a clean room environment monitoring management system, which comprises an environment monitoring module, a target screening module, a scheme planning module, a monitoring controller, an information acquisition module and a disinfection suggestion module. The environment monitoring module is used for collecting environment parameter information at a plurality of sampling points of the clean room, the target screening module is used for screening and determining pollution source information, the scheme planning module is used for determining a high pollution area based on the pollution source information to plan and generate an environment monitoring scheme, the detection controller is used for issuing equipment control parameters to environment parameter collecting equipment of each sampling point according to the environment monitoring scheme to set parameters, and the environment parameter information collected by each sampling point is processed according to monitoring flow information and compared with a preset parameter threshold value so as to realize environment monitoring of the clean room. The method has the effect of effectively improving the environment monitoring precision and reducing the environment monitoring energy consumption.
Description
Technical Field
The application relates to the field of clean room environmental monitoring, in particular to a clean room environmental monitoring management system.
Background
The clean room is a space with good tightness, which is used for controlling parameters such as air cleanliness, temperature, humidity, pressure, noise and the like as required. Clean rooms are classified into industrial clean rooms and biological clean rooms according to the properties of controlled particles, wherein the clean rooms in which the controlled particles are non-biological particles such as dust are industrial clean rooms, and the clean rooms in which the controlled particles are biological clean rooms. In order to ensure that the environment in the clean room is clean, the environment in the clean room is often required to be monitored, the problems existing in the environment can be found in time, and effective measures are taken to solve the problems, so that adverse effects are prevented from being further enlarged, and the environment in the clean room is ensured to be clean.
The existing clean room environment monitoring management system acquires various environmental parameters in the clean room through various monitoring devices, and the existing conventional clean room environment monitoring management system monitors the environment in the clean room in a small-period data acquisition and analysis mode in consideration of various aspects such as monitoring cost, monitoring sensitivity and monitoring false alarm rate of equipment energy consumption and abrasion. The environmental monitoring management system of the clean room processes the environmental parameters collected by the monitoring equipment according to a preset collection and analysis period, such as one minute, two minutes or thirty seconds, by taking the collection and analysis period as a unit, determines the environmental quality of the clean room, and reports errors. The monitoring system has low data processing frequency and moderate overall energy consumption, but the data analysis can have the same hysteresis problem due to the length of the setting period. And the clean room environment monitoring management system is used for carrying out data acquisition and monitoring on the clean room if the monitoring equipment is controlled at intervals in the full period, so that the problem can be found out in the first time, but the equipment energy consumption is high, the equipment continuous operation wear rate is high, the service life is influenced, and the false alarm probability is increased due to the fact that the first time treatment is carried out when the sensor is used for carrying out false measurement data, so that the monitoring stability is influenced.
Aiming at the related technology, how to set reasonable monitoring logic and dynamically monitor the environment in the clean room is a problem to be solved.
Disclosure of Invention
In order to solve the technical problem, the application provides a clean room environment monitoring management system.
In a first aspect, the present application provides a clean room environment monitoring management system, which adopts the following technical scheme:
a clean room environment monitoring management system, comprising:
the environment monitoring module is used for collecting environment parameter information at a plurality of sampling points of the clean room;
the target screening module is used for screening and determining pollution source information based on a clean room building layout diagram, clean room visiting reservation information and production process information, wherein the pollution source information comprises one or more of production raw materials, process treatment equipment, adjacent high-pollution production areas and external personnel;
the scheme planning module is used for determining a high-pollution area plan based on pollution source information to generate an environment monitoring scheme, wherein the environment monitoring scheme comprises a raw material conveying route, at least one high-frequency sampling point, equipment control parameters of environment parameter acquisition equipment in the high-frequency sampling point, equipment control parameters of environment parameter acquisition equipment in at least one normal sampling point and monitoring flow information; the method comprises the steps of,
and the monitoring controller is used for issuing equipment control parameters to the environmental parameter acquisition equipment of each sampling point for parameter setting according to an environmental monitoring scheme, processing the environmental parameter information acquired by each sampling point according to the monitoring flow information and comparing the environmental parameter information with a preset parameter threshold value so as to realize environmental monitoring of the clean room.
Preferably, the target screening module screens and determines pollution source information based on a clean room building layout diagram, clean room visiting reservation information and production process information, and specifically comprises the following steps:
the target screening module determines an adjacent area communicated with the clean room based on a clean room building layout diagram, acquires production information of the adjacent area, screens and determines an adjacent high-pollution production area communicated with the clean room;
process treatment equipment and production raw materials which are determined to have pollution risks are screened according to production process information;
acquiring visiting reservation information of a clean room, and determining external personnel information of the visiting clean room based on the reservation information, wherein the external personnel information comprises visiting quantity, visiting time and visiting area;
and packaging the screened adjacent high pollution production areas, process treatment equipment, production raw materials and external personnel information to generate pollution source information.
Preferably, the plan planning module determines a plan generation environment monitoring plan of the high pollution area based on pollution source information, and specifically comprises the following steps:
the scheme planning module generates a plurality of high pollution area division schemes based on pollution source information planning through a preset scheme planning model, and generates a plurality of alternative monitoring schemes in a matching way, wherein the high pollution area division schemes comprise fixed high pollution areas, temporary high pollution areas and triggering conditions of the temporary high pollution areas; the scheme planning model is obtained by training a machine learning model through historical data;
calculating the scheme scores of the alternative monitoring schemes according to a preset scheme score calculation formula for the alternative monitoring schemes;
and sequencing the alternative monitoring schemes based on the scheme scoring levels, and selecting the alternative monitoring scheme with the highest scheme scoring as the environment monitoring scheme.
Preferably, the calculating the solution score of each alternative monitoring solution according to the preset solution score calculation formula for each alternative monitoring solution specifically includes the following steps:
respectively sequencing each alternative monitoring scheme based on the predicted energy consumption, the monitoring precision, the area of the high pollution area and the distance of the production raw material conveying route in a unit production period to generate an energy consumption sequence, a precision sequence, an area sequence and a route sequence, and acquiring the energy consumption sequence score, the precision sequence score, the area sequence score and the route sequence score of each alternative monitoring scheme based on a preset ranking score comparison table according to the ranking of each alternative monitoring scheme in each sequence;
calculating equipment protection scoring coefficients for each alternative monitoring scheme through a preset equipment protection formula, wherein the equipment protection formula is Y=X/Z, Y is the equipment protection scoring coefficient, X is the number of normal sampling points, and Z is the total number of sampling points in the clean room;
and calculating the scheme scores of the alternative monitoring schemes according to the sequence scores of the alternative monitoring schemes and the equipment protection scoring coefficients through a preset scheme score calculation formula.
Preferably, the scheme score calculation formula specifically includes:
；
wherein the method comprises the steps ofScoring the scheme of the ith alternative monitoring scheme,/-for the scheme of the ith alternative monitoring scheme>The device protection scoring coefficient for the i-th alternative monitoring scheme,>energy consumption sequence for the ith alternative monitoring schemeColumn score (S)/(S)>Scoring the precision sequence of the ith alternative monitoring scheme,/-for>Scoring the area sequence of the ith alternative monitoring scheme,/->Scoring the route sequence of the i-th alternative monitoring scheme.
Preferably, the system further comprises an information acquisition module, wherein the information acquisition module is used for identifying and acquiring information of materials and personnel entering the clean room, generating a monitoring supplement scheme when unregistered materials and personnel are identified and sending the monitoring supplement scheme to the monitoring controller, and the monitoring supplement scheme comprises at least one temporary high-frequency sampling point, equipment control parameters of environmental parameter acquisition equipment in the temporary high-frequency sampling point, high-frequency duration and supplementary monitoring flow information.
Preferably, the information acquisition module identifies materials and personnel entering the clean room, and generates a monitoring supplement scheme to be sent to the monitoring controller when unregistered materials and personnel are identified, and the method specifically comprises the following steps:
the information acquisition module is used for carrying out information identification acquisition on materials and personnel entering the clean room to obtain material information and personnel identity information, wherein the material information comprises material specification information, material type information and material use information;
the information acquisition module judges whether materials and/or personnel which are not registered in pollution source information exist or not based on the acquired material information and personnel identity information;
if the materials which are not registered in the pollution source information exist, determining material using equipment positioned in the clean room based on the material use information through a preset scheme supplementing model, planning to generate a material temporary conveying route, determining material consumption estimated time based on material specification information, generating a monitoring supplementing scheme based on matching of the material temporary conveying route and the material consumption estimated time, and sending the monitoring supplementing scheme to a monitoring controller; the scheme supplement model is obtained by training a machine learning model through historical data;
if personnel which are not registered in the pollution source information exist, personnel access permission is acquired, the personnel access area and access time length are acquired after the permission is confirmed, a monitoring supplementary scheme is generated through matching of a preset scheme supplementary model, and the monitoring supplementary scheme is sent to a monitoring controller.
Preferably, the system further comprises a disinfection suggestion module, wherein the disinfection suggestion module is used for acquiring the existing disinfection equipment information of the clean room, generating a disinfection improvement suggestion based on pollution source information and sending the disinfection improvement suggestion to a manager, and the disinfection improvement suggestion comprises at least one disinfection equipment, an equipment setting mode, a corresponding down-conversion sampling point and at least one disinfection equipment purchasing requirement.
Preferably, the disinfection suggestion module acquires the existing disinfection equipment information of the clean room, generates a disinfection improvement suggestion based on pollution source information and sends the disinfection improvement suggestion to a manager, and specifically comprises the following steps of:
the disinfection suggestion module acquires the information of the existing disinfection equipment of the clean room, and generates a plurality of alternative improvement suggestions through matching of preset disinfection suggestion models according to pollution source information; the killing suggestion model is obtained by training a machine learning model through historical data; the alternative improvement suggestion comprises at least one killing device, a device setting mode, a corresponding down-conversion sampling point and at least one purchasing requirement of the killing device;
the connection and disinfection equipment supply purchasing platform obtains equipment purchasing cost E of each alternative improvement suggestion;
determining the number F of the high-frequency sampling points to be expected to be eliminated by each alternative improvement proposal based on an environment monitoring scheme;
calculating the sampling point down-conversion cost of each alternative improvement proposal through a preset cost performance calculation formula;
and ordering the down-conversion cost of each sampling point from low to high based on the down-conversion cost of the sampling point, and selecting the alternative improvement suggestion with the lowest down-conversion cost of the sampling point as the killing improvement suggestion to be sent to a manager.
Preferably, the preset cost performance calculation formula specifically includes:
；
wherein, N is the sampling point down-conversion cost of the alternative improvement proposal, H is the purchase equipment quantity of the alternative improvement proposal, and G is the required killing equipment quantity of the alternative improvement proposal.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method comprises the steps of setting a target screening module and a scheme planning module, efficiently and accurately screening pollution sources which are possibly polluted for the clean room environment based on actual layout of an enterprise clean room and surrounding factory buildings and production process information corresponding to the clean room, planning and determining a high-pollution area and a normal area for the clean room area by the scheme planning module according to the pollution sources, intelligently deciding to generate an environment monitoring scheme, carrying out high-frequency full-power data acquisition, processing and analysis on the planned high-pollution area which is possibly influenced by the pollution sources, carrying out conventional frequency data processing on the normal area which is possibly less influenced by the pollution sources, realizing a scientific planning environment monitoring scheme, reasonably setting monitoring logic, reducing the power consumption of environment monitoring equipment in the low-risk normal area on the basis of dynamically monitoring the clean room environment for the first time to find the clean room environment problem, reducing the data processing pressure, effectively improving the environment monitoring precision, simultaneously reducing the environment monitoring energy consumption, and being beneficial to prolonging the service life of the equipment;
2. through the arrangement of a scheme planning model, various high-pollution area dividing schemes are intelligently planned based on pollution source information, various alternative monitoring schemes are further generated, each alternative scheme is scored from four dimensions of monitoring energy consumption, monitoring precision, high-pollution area and raw material conveying route through a preset scheme scoring calculation formula, the alternative monitoring scheme scoring rationality is improved, the alternative monitoring schemes with low monitoring energy consumption, high monitoring precision, low false alarm probability, large high-frequency monitoring area and convenient raw material conveying are selected as environment monitoring schemes, the scheme matching rationality and the environment monitoring logic are effectively improved, and the effect of dynamically monitoring the clean room environment is realized;
3. through the setting of the information acquisition module, the information acquisition is carried out on materials and personnel entering a clean room, personnel and strange materials which are not registered in pollution source information are screened out, then, based on the material information and personnel identity information, the material conveying target, the consumed time length, the personnel visiting area and the visiting time length are determined, a monitoring supplementary scheme is planned and generated, a temporary high-pollution area is set, an additional temporary high-frequency sampling point is constructed, the clean room environment dynamic monitoring logic is further optimized, and the clean room environment monitoring efficiency and precision are optimized on the basis of reducing monitoring energy consumption as much as possible.
Drawings
FIG. 1 is a system block diagram of a clean room environment monitoring management system in an embodiment of the present application;
FIG. 2 is a flow chart of a method for screening and determining pollution source information in an embodiment of the present application;
FIG. 3 is a flow chart of a method of matching an environmental monitoring scheme in an embodiment of the present application;
FIG. 4 is a flow chart of a method of calculating various alternative monitoring schemes in an embodiment of the present application;
FIG. 5 is a flow chart of a method of generating a monitoring replenishment scheme in an embodiment of the present application;
fig. 6 is a flow chart of a method of generating a disinfection improvement recommendation in an embodiment of the present application.
Reference numerals illustrate: 1. an environmental monitoring module; 2. a target screening module; 3. a scheme planning module; 4. a monitoring controller; 5. an information acquisition module; 6. and a killing suggestion module.
Detailed Description
The present application is described in further detail below in conjunction with figures 1-6.
The embodiment of the application discloses a clean room environment monitoring management system. Referring to fig. 1, a clean room environment monitoring management system includes an environment monitoring module 1, a target screening module 2, a plan planning module 3, a monitoring controller, an information acquisition module 5, and a disinfection suggestion module 6. The environment monitoring module 1, the target screening module 2, the scheme planning module 3, the monitoring controller, the information acquisition module 5 and the disinfection suggestion module 6 are in communication connection. The environment monitoring module 1 is used for collecting environment parameter information at a plurality of sampling points in the clean room. The target screening module 2 is used for screening and determining pollution source information based on clean room building layout diagrams and clean room visiting reservation information and production process information. The pollution source information includes one or more of production raw materials, process treatment equipment, adjacent high pollution production areas, and extraneous personnel. And the scheme planning module 3 is used for determining a high-pollution area plan based on pollution source information to generate an environment monitoring scheme. The environment monitoring scheme comprises a production raw material conveying route, at least one high-frequency sampling point, equipment control parameters of environment parameter acquisition equipment in the high-frequency sampling point, equipment control parameters of environment parameter acquisition equipment in at least one normal sampling point and the normal sampling point and monitoring flow information. The monitoring controller is used for sending equipment control parameters to the environmental parameter acquisition equipment of each sampling point of the environmental monitoring module 1 according to an environmental monitoring scheme to carry out parameter setting, processing the environmental parameter information acquired by each sampling point according to monitoring flow information and comparing the environmental parameter information with a preset parameter threshold value so as to realize environmental monitoring of the clean room. The method comprises the steps of setting a target screening module 2 and a scheme planning module 3, efficiently and accurately screening pollution sources which are possibly polluted for the clean room environment based on actual layout of an enterprise clean room and surrounding plants and production process information corresponding to the clean room, planning and determining a high-pollution area and a normal area for the clean room area through the scheme planning module 3, intelligently deciding to generate an environment monitoring scheme, carrying out high-frequency full-power data acquisition, processing and analysis on the planned high-pollution area which is possibly influenced by the pollution sources, carrying out conventional frequency data processing on the normal area which is possibly slightly influenced by the pollution sources, realizing a scientific planning environment monitoring scheme, reasonably setting monitoring logic, reducing the power consumption of environment monitoring equipment in the low-normal area to lighten the data processing pressure on the basis of dynamically monitoring the clean room environment for the first time, effectively improving the environment monitoring precision, and simultaneously reducing the environment monitoring energy consumption, thereby being beneficial to prolonging the service life of the equipment.
Referring to fig. 2, the target screening module 2 screens and determines pollution source information based on a clean room building layout, clean room visit reservation information and production process information, and specifically includes the following steps:
a1, screening and determining adjacent high pollution production areas communicated with a clean room: the target screening module 2 determines an adjacent area communicated with the clean room based on a clean room building layout diagram, acquires production information of the adjacent area, screens and determines an adjacent high-pollution production area communicated with the clean room;
specifically, adjacent production areas with communication channels, communication doors and transmission windows in the clean room are determined according to a clean room building layout, pollution in production in the adjacent production areas and the adjacent production areas in the unclean area for production are determined to be adjacent high-pollution production areas according to production information screening of the production areas;
a2, screening and determining process treatment equipment with pollution risk and production raw materials according to production process information;
a3, determining external personnel information: acquiring visiting reservation information of a clean room, and determining external personnel information of the visiting clean room based on the reservation information, wherein the external personnel information comprises visiting quantity, visiting time and visiting area;
a4, packaging to generate pollution source information: and packaging the screened adjacent high pollution production areas, process treatment equipment, production raw materials and external personnel information to generate pollution source information. From the actual layout of the clean room of the enterprise and surrounding plants, the actual production process conditions of the enterprise and the visiting reservation conditions of personnel are combined, the pollution source information which can pollute the clean room in the next production period is accurately and efficiently determined, the environment monitoring scheme of the clean room is convenient for follow-up accurate intelligent planning, the power consumption of environment monitoring equipment in a low-risk normal area is reduced on the basis that the environment problem of the clean room is discovered in the first time of dynamically monitoring the environment of the clean room, the data processing pressure is reduced, and the effects of improving the monitoring precision and reducing the monitoring power consumption are achieved.
Referring to fig. 3, the plan planning module 3 determines a plan generation environment monitoring plan for the high pollution area based on the pollution source information specifically includes the following steps:
b1, matching to generate a plurality of alternative monitoring schemes: the scheme planning module 3 generates a plurality of high-pollution area division schemes based on pollution source information planning through a preset scheme planning model, and generates a plurality of alternative monitoring schemes in a matching way, wherein the high-pollution area division schemes comprise fixed high-pollution areas, temporary high-pollution areas and triggering conditions thereof; the scheme planning model is obtained by training a machine learning model through historical data; the specific training steps of the machine learning model are not described in detail in the prior art;
when the scheme planning model generates a plurality of high-pollution area division schemes based on pollution source information planning, the scheme planning model synchronously acquires the information of the existing disinfection equipment of an enterprise and the joint setting mode thereof, judges whether the disinfection rate of the disinfection equipment on the pollution particles of the corresponding pollutants in the pollution sources exceeds a preset disinfection threshold value, eliminates the pollutants from the pollution source information if the disinfection rate exceeds the preset disinfection threshold value, and does not consider the pollution influence of the pollutants when planning to generate a plurality of high-pollution area division schemes;
b2, calculating scheme scores of the alternative monitoring schemes: calculating the scheme scores of the alternative monitoring schemes according to a preset scheme score calculation formula for the alternative monitoring schemes;
and B3, selecting an environment monitoring scheme: and sequencing the alternative monitoring schemes based on the scheme scoring levels, and selecting the alternative monitoring scheme with the highest scheme scoring as the environment monitoring scheme. Through the setting of scheme planning model, multiple high pollution area division schemes are planned based on pollution source information intelligence, and then multiple alternative monitoring schemes are generated, each alternative scheme is scored from four dimensions of monitoring energy consumption, monitoring precision, high pollution area and raw material conveying route through the scheme scoring calculation formula that presets, the alternative monitoring scheme scoring rationality is facilitated to be improved, the alternative monitoring scheme with low monitoring energy consumption, high monitoring precision, low false alarm probability, large high frequency monitoring area and convenient raw material conveying is facilitated to be selected as an environment monitoring scheme, scheme matching rationality and environment monitoring logic are effectively improved, and the effect of dynamic monitoring on clean room environment is achieved.
Referring to fig. 4, the calculating, according to a preset scheme score calculation formula, the scheme score of each alternative monitoring scheme specifically includes the following steps:
c1, obtaining sequence scores of all alternative monitoring schemes: respectively sequencing each alternative monitoring scheme based on the predicted energy consumption, the monitoring precision, the area of the high pollution area and the distance of the production raw material conveying route in a unit production period to generate an energy consumption sequence, a precision sequence, an area sequence and a route sequence, and acquiring the energy consumption sequence score, the precision sequence score, the area sequence score and the route sequence score of each alternative monitoring scheme based on a preset ranking score comparison table according to the ranking of each alternative monitoring scheme in each sequence;
and C2, calculating equipment protection scoring coefficients: calculating equipment protection scoring coefficients for each alternative monitoring scheme through a preset equipment protection formula, wherein the equipment protection formula is Y=X/Z, Y is the equipment protection scoring coefficient, X is the number of normal sampling points, and Z is the total number of sampling points in the clean room;
and C3, calculating the scheme scores of the alternative monitoring schemes: and calculating the scheme scores of the alternative monitoring schemes according to the sequence scores of the alternative monitoring schemes and the equipment protection scoring coefficients through a preset scheme score calculation formula. Starting from four dimensions of monitoring energy consumption, monitoring precision, high pollution area and raw material conveying route length, calculating equipment protection scoring coefficients of all alternative monitoring schemes based on the basis that high-frequency sampling points easily influence equipment service life, and performing omnibearing intelligent scoring on all the alternative monitoring schemes, so that scheme scoring rationality is improved.
The scheme scoring calculation formula specifically comprises the following steps:
；
wherein the method comprises the steps ofScoring the scheme of the ith alternative monitoring scheme,/-for the scheme of the ith alternative monitoring scheme>The device protection scoring coefficient for the i-th alternative monitoring scheme,>scoring the energy consumption sequence of the ith alternative monitoring scheme,/for>Scoring the precision sequence of the ith alternative monitoring scheme,/-for>Scoring the area sequence of the ith alternative monitoring scheme,/->Scoring the route sequence of the i-th alternative monitoring scheme.
The information acquisition module 5 is used for carrying out information identification and acquisition on materials and personnel entering the clean room, and generating a monitoring supplement scheme to be sent to the monitoring controller 4 when unregistered materials and personnel are identified. The monitoring supplementary scheme comprises at least one temporary high-frequency sampling point, equipment control parameters of environmental parameter acquisition equipment in the temporary high-frequency sampling point, high-frequency duration and supplementary monitoring flow information.
Referring to fig. 5, the information collecting module 5 identifies materials and personnel entering the clean room, and generates a monitoring supplement scheme to be sent to the monitoring controller 4 when unregistered materials and personnel are identified, and specifically includes the following steps:
the method comprises the steps that D1, an information acquisition module 5 performs information identification acquisition on materials and personnel entering a clean room to obtain material information and personnel identity information, wherein the material information comprises material specification information, material type information and material use information;
the information acquisition module 5 judges whether materials and/or personnel which are not registered in pollution source information exist or not based on the acquired material information and personnel identity information;
and D3, planning a temporary material conveying route based on material information and matching predicted material consumption time length to generate a monitoring supplement scheme: if the materials which are not registered in the pollution source information exist, determining material using equipment positioned in the clean room based on the material use information through a preset scheme supplementing model, planning to generate a material temporary conveying route, determining material consumption estimated time based on material specification information, generating a monitoring supplementing scheme based on matching of the material temporary conveying route and the material consumption estimated time, and transmitting the monitoring supplementing scheme to the monitoring controller 4; the scheme supplement model is obtained by training a machine learning model through historical data;
and D4, acquiring access areas and access time length of personnel, and matching to generate a monitoring supplement scheme: if personnel which are not registered in the pollution source information exist, personnel access permission is acquired, the personnel access area and access time length are acquired after the permission is confirmed, a monitoring supplementary scheme is generated through matching of a preset scheme supplementary model, and the monitoring supplementary scheme is sent to the monitoring controller 4. Through the setting of the information acquisition module 5, the information acquisition is carried out on materials and personnel entering a clean room, personnel and strange materials which are not registered in pollution source information are screened out, then based on the material information and personnel identity information, the material conveying target, the consumed time length, the personnel visiting area and the visiting time length are determined, a monitoring supplementary scheme is planned to be generated, a temporary high-pollution area is set, an additional temporary high-frequency sampling point is constructed, the clean room environment dynamic monitoring logic is further optimized, and the clean room environment monitoring efficiency and precision are optimized on the basis of reducing monitoring energy consumption as much as possible.
The disinfection suggestion module 6 is used for acquiring the existing disinfection equipment information of the clean room, generating a disinfection improvement suggestion based on pollution source information and sending the disinfection improvement suggestion to a manager. The killing improvement proposal comprises at least one killing device, a device setting mode, a corresponding down-conversion sampling point and at least one purchasing requirement of the killing device.
Referring to fig. 6, the said cancellation advice module 6 obtains the existing cancellation equipment information of the clean room, generates the cancellation improvement advice based on the pollution source information and sends it to the manager, specifically comprising the steps of:
e1, matching to generate a plurality of alternative improvement suggestions: the disinfection suggestion module 6 acquires the information of the existing disinfection equipment of the clean room, and generates a plurality of alternative improvement suggestions through matching of preset disinfection suggestion models according to pollution source information; the killing suggestion model is obtained by training a machine learning model through historical data; the alternative improvement suggestion comprises at least one killing device, a device setting mode, a corresponding down-conversion sampling point and at least one purchasing requirement of the killing device;
e2, acquiring equipment purchase cost of each alternative improvement suggestion: the connection and disinfection equipment supply purchasing platform obtains equipment purchasing cost E of each alternative improvement suggestion;
e3, determining the number of the high-frequency sampling points to be eliminated: determining the number F of the high-frequency sampling points to be expected to be eliminated by each alternative improvement proposal based on an environment monitoring scheme;
specifically, if the sterilizing equipment in the alternative improvement proposal and the combined setting mode thereof exceed a preset sterilizing threshold value for sterilizing the pollutant particles of the corresponding pollutant in the pollution source, judging that the pollutant particles are sterilized, and setting a high-frequency sampling point which corresponds to the pollutant in the environment monitoring scheme as a down-frequency sampling point; meaning that the environmental monitoring equipment corresponding to the pollution particles in the down-conversion sampling point can be modulated to a normal data processing frequency; it should be noted that, the contaminant particles include two major types of biological particles and non-biological particles; if the killing rate of various pollution particles monitored by the high-frequency sampling point after being subjected to killing treatment by the killing equipment exceeds a preset killing threshold value, judging that the high-frequency sampling point is qualified for killing, wherein the high-frequency sampling point can become a normal sampling point at the moment, which means that the high-frequency sampling point is eliminated; in addition, it should be noted that if the pollutant particles monitored by a high-frequency sampling point are not only from one pollutant, the high-frequency sampling point can be set as a normal sampling point when the pollutant particles of multiple pollution sources corresponding to the high-frequency sampling point are required to be killed, namely, the killing rates of the pollutant particles of multiple pollution sources all exceed the preset killing threshold;
and E4, calculating the sampling point down-conversion cost of each alternative improvement proposal: calculating the sampling point down-conversion cost of each alternative improvement proposal through a preset cost performance calculation formula;
e5, selecting a disinfection improvement suggestion and sending the disinfection improvement suggestion to a manager: and ordering the down-conversion cost of each sampling point from low to high based on the down-conversion cost of the sampling point, and selecting the alternative improvement suggestion with the lowest down-conversion cost of the sampling point as the killing improvement suggestion to be sent to a manager. Through the setting of the disinfection suggestion module 6, a plurality of alternative improvement suggestions are planned by intelligent decision aiming at pollution source information of a clean room and combining with the existing disinfection equipment, and then the disinfection improvement suggestions with high cost performance are planned intelligently on the basis of the existing disinfection equipment of an enterprise based on an environment monitoring scheme according to the three aspects of equipment purchase cost, the frequency reduction number of high-frequency sampling points and the utilization rate of the existing disinfection equipment, the environment monitoring pressure of the clean room is reduced as much as possible by combining with the actual situation of the enterprise, and the environment monitoring logic of the clean room is optimized laterally. The preset cost performance calculation formula is specifically as follows:
；
wherein, N is the sampling point down-conversion cost of the alternative improvement proposal, H is the purchase equipment quantity of the alternative improvement proposal, and G is the required killing equipment quantity of the alternative improvement proposal.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention. It will be apparent that the described embodiments are merely some, but not all, embodiments of the invention. Based on these embodiments, all other embodiments that may be obtained by one of ordinary skill in the art without inventive effort are within the scope of the invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art may still combine, add or delete features of the embodiments of the present invention or make other adjustments according to circumstances without any conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present invention, which also falls within the scope of the present invention.
Claims (7)
1. A clean room environment monitoring management system, comprising:
the environment monitoring module (1) is used for collecting environment parameter information at a plurality of sampling points of the clean room;
the target screening module (2) is used for screening and determining pollution source information based on a clean room building layout diagram, clean room visiting reservation information and production process information, wherein the pollution source information comprises one or more of production raw materials, process treatment equipment, adjacent high-pollution production areas and external personnel;
the scheme planning module (3) is used for determining a high-pollution area plan based on pollution source information to generate an environment monitoring scheme, wherein the environment monitoring scheme comprises a production raw material conveying route, at least one high-frequency sampling point, equipment control parameters of environment parameter acquisition equipment in the high-frequency sampling point, equipment control parameters of environment parameter acquisition equipment in at least one normal sampling point and monitoring flow information; the method comprises the steps of,
the monitoring controller (4) is used for issuing equipment control parameters to the environmental monitoring module (1) at the environmental parameter acquisition equipment of each sampling point according to an environmental monitoring scheme to perform parameter setting, processing the environmental parameter information acquired by each sampling point according to the monitoring flow information and comparing the environmental parameter information with a preset parameter threshold value so as to realize environmental monitoring of the clean room;
the scheme planning module (3) determines a high pollution area planning generation environment monitoring scheme based on pollution source information, and specifically comprises the following steps of:
the scheme planning module (3) generates a plurality of high pollution area division schemes based on pollution source information planning through a preset scheme planning model, and generates a plurality of alternative monitoring schemes in a matching way, wherein the high pollution area division schemes comprise fixed high pollution areas, temporary high pollution areas and triggering conditions of the temporary high pollution areas; the scheme planning model is obtained by training a machine learning model through historical data;
calculating the scheme scores of the alternative monitoring schemes according to a preset scheme score calculation formula for the alternative monitoring schemes;
ranking the alternative monitoring schemes based on the scheme scoring levels, and selecting the alternative monitoring scheme with the highest scheme scoring as an environment monitoring scheme;
the calculating the scheme score of each alternative monitoring scheme according to the preset scheme score calculation formula comprises the following steps:
respectively sequencing each alternative monitoring scheme based on the predicted energy consumption, the monitoring precision, the area of the high pollution area and the distance of the production raw material conveying route in a unit production period to generate an energy consumption sequence, a precision sequence, an area sequence and a route sequence, and acquiring the energy consumption sequence score, the precision sequence score, the area sequence score and the route sequence score of each alternative monitoring scheme based on a preset ranking score comparison table according to the ranking of each alternative monitoring scheme in each sequence;
calculating equipment protection scoring coefficients for each alternative monitoring scheme through a preset equipment protection formula, wherein the equipment protection formula is Y=X/Z, Y is the equipment protection scoring coefficient, X is the number of normal sampling points, and Z is the total number of sampling points in the clean room;
calculating the scheme scores of the alternative monitoring schemes according to the sequence scores of the alternative monitoring schemes and the equipment protection scoring coefficients through a preset scheme score calculation formula;
the scheme scoring calculation formula specifically comprises the following steps:
；
wherein the method comprises the steps ofScoring the scheme of the ith alternative monitoring scheme,/-for the scheme of the ith alternative monitoring scheme>For the ith alternative monitoringDevice protection scoring coefficient of scheme, +.>Scoring the energy consumption sequence of the ith alternative monitoring scheme,/for>Scoring the precision sequence of the ith alternative monitoring scheme,/-for>Scoring the area sequence of the ith alternative monitoring scheme,/->Scoring the route sequence of the i-th alternative monitoring scheme.
2. The clean room environment monitoring and management system according to claim 1, wherein the target screening module (2) specifically includes the following steps for determining pollution source information based on a clean room building layout, clean room visit reservation information and production process information screening:
the target screening module (2) determines an adjacent area communicated with the clean room based on a clean room building layout diagram, acquires production information of the adjacent area, screens and determines an adjacent high-pollution production area communicated with the clean room;
process treatment equipment and production raw materials which are determined to have pollution risks are screened according to production process information;
acquiring visiting reservation information of a clean room, and determining external personnel information of the visiting clean room based on the reservation information, wherein the external personnel information comprises visiting quantity, visiting time and visiting area;
and packaging the screened adjacent high pollution production areas, process treatment equipment, production raw materials and external personnel information to generate pollution source information.
3. The clean room environment monitoring and management system according to claim 1, further comprising an information acquisition module (5) for identifying and acquiring information of materials and personnel entering the clean room, and generating a monitoring supplement scheme to be sent to the monitoring controller (4) when unregistered materials and personnel are identified, wherein the monitoring supplement scheme comprises at least one temporary high frequency sampling point and equipment control parameters, high frequency duration and supplementary monitoring flow information of environmental parameter acquisition equipment in the temporary high frequency sampling point.
4. A clean room environment monitoring and management system according to claim 3, wherein the information acquisition module (5) identifies materials and personnel entering the clean room, and generates a monitoring supplement scheme to be sent to the monitoring controller (4) when unregistered materials and personnel are identified, specifically comprising the steps of:
the information acquisition module (5) performs information identification acquisition on materials and personnel entering a clean room to obtain material information and personnel identity information, wherein the material information comprises material specification information, material type information and material use information;
the information acquisition module (5) judges whether materials and/or personnel which are not registered in pollution source information exist or not based on the acquired material information and personnel identity information;
if materials which are not registered in the pollution source information exist, determining material using equipment positioned in a clean room based on the material use information through a preset scheme supplementing model, planning to generate a material temporary conveying route, determining material consumption estimated time based on material specification information, generating a monitoring supplementing scheme based on matching of the material temporary conveying route and the material consumption estimated time, and sending the monitoring supplementing scheme to a monitoring controller (4); the scheme supplement model is obtained by training a machine learning model through historical data;
if personnel which are not registered in pollution source information exist, personnel access permission is acquired, the personnel access area and access time length are acquired after permission is confirmed, a monitoring supplementary scheme is generated through matching of a preset scheme supplementary model, and the monitoring supplementary scheme is sent to a monitoring controller (4).
5. The clean room environment monitoring and management system according to claim 1, further comprising a disinfection suggestion module (6) for acquiring clean room existing disinfection equipment information, generating a disinfection improvement suggestion based on pollution source information, and sending the disinfection improvement suggestion to a manager, wherein the disinfection improvement suggestion comprises at least one disinfection equipment, equipment setting mode, corresponding down-conversion sampling points and at least one disinfection equipment purchasing requirement.
6. The clean room environment monitoring and management system according to claim 5, wherein the disinfection suggestion module (6) obtains clean room existing disinfection equipment information, generates a disinfection improvement suggestion based on pollution source information, and sends the disinfection improvement suggestion to a manager, and specifically comprises the following steps:
the disinfection suggestion module (6) acquires the information of the existing disinfection equipment of the clean room, and generates a plurality of alternative improvement suggestions through matching of a preset disinfection suggestion model according to pollution source information; the killing suggestion model is obtained by training a machine learning model through historical data; the alternative improvement suggestion comprises at least one killing device, a device setting mode, a corresponding down-conversion sampling point and at least one purchasing requirement of the killing device;
the connection and disinfection equipment supply purchasing platform obtains equipment purchasing cost E of each alternative improvement suggestion;
determining the number F of the high-frequency sampling points to be expected to be eliminated by each alternative improvement proposal based on an environment monitoring scheme;
calculating the sampling point down-conversion cost of each alternative improvement proposal through a preset cost performance calculation formula;
and sorting the elimination cost of each sampling point from low to high based on the frequency reduction cost of the sampling point, and selecting the alternative improvement suggestion with the lowest frequency reduction cost of the sampling point as the elimination improvement suggestion to be sent to a manager.
7. The clean room environment monitoring and management system according to claim 6, wherein the preset cost performance calculation formula is specifically:
；
wherein, N is the sampling point down-conversion cost of the alternative improvement proposal, H is the purchase equipment quantity of the alternative improvement proposal, and G is the required killing equipment quantity of the alternative improvement proposal.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109540202A (en) * | 2018-11-05 | 2019-03-29 | 上海怀信自动化科技有限公司 | A kind of GMP clean room environment management system for monitoring |
| WO2021004050A1 (en) * | 2019-07-10 | 2021-01-14 | 江苏金恒信息科技股份有限公司 | Acquisition device control method and apparatus |
| CN116027744A (en) * | 2022-12-14 | 2023-04-28 | 苏州康启环境科技有限公司 | Clean factory building environmental quality on-line monitoring and analysis system |
| CN116337157A (en) * | 2023-05-23 | 2023-06-27 | 吉林精诚工程检测有限公司 | Indoor environment intelligent monitoring system based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109540202A (en) * | 2018-11-05 | 2019-03-29 | 上海怀信自动化科技有限公司 | A kind of GMP clean room environment management system for monitoring |
| WO2021004050A1 (en) * | 2019-07-10 | 2021-01-14 | 江苏金恒信息科技股份有限公司 | Acquisition device control method and apparatus |
| CN116027744A (en) * | 2022-12-14 | 2023-04-28 | 苏州康启环境科技有限公司 | Clean factory building environmental quality on-line monitoring and analysis system |
| CN116337157A (en) * | 2023-05-23 | 2023-06-27 | 吉林精诚工程检测有限公司 | Indoor environment intelligent monitoring system based on Internet of things |
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