CN114508839B - Air purification control method and system for animal laboratory - Google Patents

Air purification control method and system for animal laboratory Download PDF

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CN114508839B
CN114508839B CN202210407471.9A CN202210407471A CN114508839B CN 114508839 B CN114508839 B CN 114508839B CN 202210407471 A CN202210407471 A CN 202210407471A CN 114508839 B CN114508839 B CN 114508839B
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purification
state data
instruction
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CN114508839A (en
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蔡子牛
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Guangzhou Haijer Medical Equipment Co ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F24F11/58—Remote control using Internet communication
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/65—Electronic processing for selecting an operating mode
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/89—Arrangement or mounting of control or safety devices
    • 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
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
    • Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters

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  • Signal Processing (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
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  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
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Abstract

The invention discloses an air purification control method and system for an animal laboratory, which comprises the following steps: firstly, receiving a purification strategy group and experimental state data in a current experimental area; then, correlating the purification strategy group and the experimental state data in the current experimental area to obtain the correlation between a plurality of purification strategies and the experimental state data; taking the experiment state data with failed correlation as the experiment state data to be processed, and determining a purification equipment starting instruction matched with the experiment state data to be processed according to the experiment purification adaptation degree; correlating the purification equipment starting instruction with the experimental state data to be processed to obtain the correlation between the purification equipment starting instruction and the experimental state data to be processed; finally, the starting instruction of the purifying equipment is determined according to the incidence relation of the two different types, so that the air purification control scheme which is adapted to the animal laboratory in the current experimental area can be obtained without using the experience of experimenters to carry out air purification control.

Description

Air purification control method and system for animal laboratory
Technical Field
The invention relates to the field of air purification control of animal laboratories, in particular to an air purification control method and system for an animal laboratory.
Background
At present, animal experiments are widely used in various fields in order to perform various scientific research projects. In addition to the harmful substances that invade the animal laboratory from the outside, the excrement of the animals living in the laboratory and the residues of the drugs and chemicals used in the experimental process may also cause contamination during the experimental process. The air in the laboratory is polluted, which not only can directly endanger the physiological health condition of animals, but also can cause the experimental result to be affected and even cause the occurrence of infectious diseases.
However, in the existing air purification means for animal laboratories, operation is often performed according to experience of experimenters, or complete over-sterilization is directly performed, and further situations that air purification is not in place or purification resources are wasted due to transitional purification in some aspects may occur.
Disclosure of Invention
The invention aims to provide an air purification control method and system for an animal laboratory.
In a first aspect, an embodiment of the present invention provides an air purification control method for an animal laboratory, including:
receiving a purification strategy group and experimental state data in a current experimental area;
associating the purification strategy group and the experimental state data in the current experimental region based on the parameter correlation between the purification strategy group and the experimental state data in the current experimental region to obtain the association relationship between a plurality of purification strategies and the experimental state data;
taking the experimental state data with failed correlation as experimental state data to be processed, and determining a purification equipment starting instruction matched with the experimental state data to be processed according to the experimental purification adaptation degree between the experimental state data and the experimental state data to be processed in the correlation between the purification strategy and the experimental state data;
correlating the purification equipment starting instruction matched with the experimental state data to be processed to obtain the correlation relation between the purification equipment starting instruction and the experimental state data to be processed;
and determining a purification index in the current experimental area and a purification equipment starting instruction corresponding to the purification index according to the incidence relation between the purification equipment starting instruction and the experimental state data to be processed and the incidence relation between the plurality of purification strategies and the experimental state data.
In one possible embodiment, receiving a decontamination strategy set and experimental status data in a current experimental region comprises:
receiving a plurality of purification strategies in a current experimental area and a plurality of experimental state parameters in the current experimental area;
receiving a purification strategy homogenization coefficient and a purification strategy differentiation coefficient among a plurality of purification strategies;
receiving an experiment state parameter homogenization coefficient and an experiment state parameter differentiation coefficient among a plurality of experiment state parameters;
collecting a plurality of purification strategies based on the purification strategy homogenization coefficient and the purification strategy differentiation coefficient to obtain a purification strategy group in the current experimental area;
and collecting a plurality of experimental state parameters based on the experimental state parameter homogenization coefficient and the experimental state parameter differentiation coefficient to obtain the experimental state data in the current experimental area.
In a possible implementation manner, associating the purification strategy group and the experimental state data in the current experimental region based on a parametric correlation between the purification strategy group and the experimental state data in the current experimental region to obtain an association relationship between a plurality of purification strategies and the experimental state data, includes:
taking the experimental state data in the current experimental region as experimental state data to be detected, and taking the purification strategy group in the current experimental region as a purification strategy group to be detected; the experimental state parameters in the experimental state data to be detected are obtained from target animal experimental projects in the current experimental area;
receiving a purification strategy in a target animal experiment project, and taking a strategy homogenization coefficient between the purification strategy in the target animal experiment project and a purification strategy in a purification strategy group to be detected as a parameter correlation between experimental state data to be detected and the purification strategy group to be detected;
and when the parameter correlation is larger than or equal to the correlation threshold value, correlating the experimental state data to be detected and the purification strategy group to be detected to obtain the incidence relation between the plurality of purification strategies and the experimental state data.
In a possible implementation manner, determining a cleaning device start instruction matched with the to-be-processed experimental state data according to the experimental cleaning adaptation degree between the experimental state data and the to-be-processed experimental state data in the association relationship between the cleaning strategy and the experimental state data, with the experimental state data with failed association as the to-be-processed experimental state data, includes:
determining the experiment state data with failed correlation as experiment state data to be processed, and receiving experiment state pollution indexes corresponding to each first experiment state parameter in the plurality of first experiment state parameters;
receiving first average pollution indexes corresponding to a plurality of first experiment state parameters based on the experiment state pollution indexes corresponding to each first experiment state parameter;
taking the first average pollution index as a first experiment pollution state index; the first experiment state parameter belongs to the current experiment area;
respectively receiving a second experiment pollution state index of the experiment state data in the incidence relation between each purification strategy and the experiment state data based on a second experiment state parameter included in the incidence relation between each purification strategy and the experiment state data;
receiving a difference grade coefficient between the first experiment pollution state index and a second experiment pollution state index corresponding to the incidence relation between each purification strategy and the experiment state data;
determining experimental purification adaptation degrees between the experimental state data in the association relationship between each purification strategy and the experimental state data to be processed respectively based on the difference grade coefficient to which the association relationship between each purification strategy and the experimental state data belongs;
and when the number of the incidence relations between the target purification strategy and the experimental state data is within a preset number range, determining a purification equipment starting instruction maintained by a purification strategy group in the incidence relation between the target purification strategy and the experimental state data as a purification equipment starting instruction matched with the experimental state data to be processed.
In one possible implementation, the association of the plurality of decontamination strategies with the experimental status data comprises an association of a first decontamination strategy with the experimental status data; the incidence relation between the first purification strategy and the experimental state data comprises a plurality of data quantity of second experimental state parameters;
respectively receiving a second experimental pollution state index of the experimental state data in the incidence relation between each purification strategy and the experimental state data based on a second experimental state parameter included in the incidence relation between each purification strategy and the experimental state data, wherein the second experimental pollution state index comprises:
receiving an experiment state pollution index corresponding to each second experiment state parameter in a plurality of second experiment state parameters included in the incidence relation between the first purification strategy and the experiment state data;
receiving second average pollution indexes corresponding to a plurality of second experiment state parameters based on the experiment state pollution indexes corresponding to each second experiment state parameter;
and taking the second average pollution index as a second experimental pollution state index of the experimental state data in the incidence relation between the first purification strategy and the experimental state data.
In one possible implementation mode, the number of the experimental state data to be processed is multiple;
the method further comprises the following steps:
acquiring the incidence relation between the purification strategy and the experimental state data, where the experimental purification adaptability between the purification strategy and the experimental state data is the largest, and the experimental state data under the condition that the number of the incidence relations between the target purification strategy and the experimental state data is smaller than or equal to a first preset number threshold;
respectively taking the incidence relation between the purification strategy of the experimental state data with the maximum experimental purification adaptability between the experimental state data and each to-be-processed experimental state data and the experimental state data as the to-be-determined incidence relation corresponding to each to-be-processed experimental state data;
respectively taking the purification equipment starting instruction maintained by the purification strategy group in the undetermined incidence relation corresponding to each experimental state data to be processed as the undetermined purification equipment starting instruction corresponding to each experimental state data to be processed;
determining a plurality of control instructions corresponding to the control instruction types of the equipment to be purified based on the starting instruction of the equipment to be purified corresponding to each experimental state data to be processed;
receiving a first instruction weight of a plurality of control instructions in a purification equipment starting instruction maintained by a purification strategy group of incidence relation between a plurality of purification strategies and experimental state data;
determining a first target control instruction of each to-be-processed experimental state data limiting to-be-purified equipment control instruction type based on the first instruction weight;
taking the control instruction types of the purification equipment to be determined, which respectively have the first target control instruction corresponding to each experimental state data to be processed, as the starting instruction of the purification equipment matched with each experimental state data to be processed; and the second instruction weight of the plurality of control instructions in the purifying equipment starting instruction matched with each experimental state data to be processed is equal to the first instruction weight.
In one possible embodiment, the method further comprises:
under the condition that the number of incidence relations between the target purification strategy and the experimental state data is larger than a second preset number threshold, inquiring the triggering number of a plurality of control instructions of the control instruction type of the equipment to be purified in the purification equipment starting instruction contained in the purification strategy of the incidence relation between the target purification strategy and the experimental state data; a plurality of control commands determined based on purge device start commands maintained by a purge strategy group in an association relationship of a target purge strategy and experimental state data;
determining a second target control instruction of the type of the control instruction of the equipment to be purified limited by the experimental state data to be processed from the plurality of control instructions based on the experimental purification adaptation degree and the triggering quantity between the experimental state data to be processed and the incidence relation between the target purification strategy and the experimental state data;
and taking the control instruction type of the equipment to be purified with the second target control instruction as a purification equipment starting instruction matched with the experimental state data to be treated.
In one possible embodiment, the method further comprises:
taking a purification equipment starting instruction maintained by a purification strategy group in the incidence relation between the plurality of purification strategies and the experimental state data as a purification equipment starting instruction maintained by the incidence relation between the plurality of purification strategies and the experimental state data;
taking the incidence relation between the plurality of purification strategies and the experimental state data and the incidence relation between the purification equipment starting instruction and the experimental state data to be processed as the current experimental target incidence relation in the current experimental area;
taking a purifying equipment starting instruction maintained by the incidence relation of the current experimental target as a target purifying equipment starting instruction;
adding the same purification marks for the experiment state data in the incidence relation between the target purification equipment starting instruction and the current experiment target;
respectively storing a target purifying equipment starting instruction with a purifying mark to a local terminal, a temporary server and a cloud cluster; the read-write efficiency of the target purification equipment starting instruction received from the local terminal is higher than the read-write efficiency of the target purification equipment starting instruction received from the temporary server; the read-write efficiency of the target purification equipment starting instruction received from the temporary server is greater than the read-write efficiency of the target purification equipment starting instruction received from the cloud cluster; the local terminal limits the available storage space of the target purifying equipment starting instruction, and the available storage space is smaller than the available storage space of the target purifying equipment starting instruction limited by the temporary server; the temporary server limits the available storage space of the target purifying equipment starting instruction, and the available storage space is smaller than the available storage space of the target purifying equipment starting instruction limited by the cloud cluster;
based on the incidence relation between the purification equipment starting instruction and the experimental state data to be processed and the incidence relation between the plurality of purification strategies and the experimental state data, the purification indexes in the current experimental area and the purification equipment starting instruction corresponding to the purification indexes are determined, and the method comprises the following steps:
determining a purification index in the current experiment area based on the experiment state data in the incidence relation of the current experiment target;
and receiving a target purifying equipment starting instruction with the purification mark from a local terminal, a temporary server or a cloud cluster based on the purification mark of the experimental state data in the current experimental target association relation, and taking the received target purifying equipment starting instruction as a purifying equipment starting instruction corresponding to the purification index.
In one possible implementation, receiving a target decontamination apparatus start instruction with a decontamination symbol from a local terminal, a temporary server or a cloud cluster based on the decontamination symbol of the experimental state data in the current experimental target association relationship comprises:
obtaining a first instruction receiving instruction for receiving a target purifying equipment starting instruction in the local terminal based on a purifying sign of experimental state data in the current experimental target incidence relation, and obtaining a second instruction receiving instruction for receiving the target purifying equipment starting instruction in the temporary server based on the first instruction receiving instruction when the target purifying equipment starting instruction is not received from the local terminal based on the first instruction receiving instruction;
when the target purifying equipment starting instruction is not received from the temporary server based on the second instruction receiving instruction, a third instruction receiving instruction used for receiving the target purifying equipment starting instruction in the cloud cluster is obtained based on the second instruction receiving instruction;
and receiving a target purifying equipment starting instruction from the cloud cluster based on the third instruction receiving instruction.
In a second aspect, an embodiment of the present invention provides an air purification control system for an animal laboratory, including:
the receiving module is used for receiving the purification strategy group and the experimental state data in the current experimental area;
the correlation module is used for correlating the purification strategy group and the experimental state data in the current experimental region based on the parameter correlation between the purification strategy group and the experimental state data in the current experimental region to obtain the correlation between a plurality of purification strategies and the experimental state data; the experimental state data in the incidence relation between each purification strategy and the experimental state data respectively comprise second experimental state parameters in the current experimental region;
the determining module is used for determining a purifying equipment starting instruction matched with the experimental state data to be processed according to the experimental purification adaptation degree between the experimental state data and the experimental state data to be processed in the incidence relation between the purification strategy and the experimental state data by taking the experimental state data with failed correlation as the experimental state data to be processed; correlating the purification equipment starting instruction matched with the experimental state data to be processed to obtain the correlation relation between the purification equipment starting instruction and the experimental state data to be processed;
and the purification module is used for determining a purification index in the current experimental area and a purification equipment starting instruction corresponding to the purification index according to the incidence relation between the purification equipment starting instruction and the experimental state data to be processed and the incidence relation between the plurality of purification strategies and the experimental state data.
Compared with the prior art, the beneficial effects provided by the invention comprise: the invention discloses an air purification control method and system for an animal laboratory, which receives a purification strategy group and experimental state data in a current experimental area; then, correlating the purification strategy group and the experimental state data in the current experimental area to obtain the correlation between a plurality of purification strategies and the experimental state data; taking the experiment state data with failed correlation as the experiment state data to be processed, and determining a purification equipment starting instruction matched with the experiment state data to be processed according to the experiment purification adaptation degree; correlating the purification equipment starting instruction with the experimental state data to be processed to obtain the correlation between the purification equipment starting instruction and the experimental state data to be processed; finally, the starting instruction of the purifying equipment is determined according to the incidence relation of the two different types, so that the air purification control scheme which is adapted to the animal laboratory in the current experimental area can be obtained without using the experience of experimenters to carry out air purification control.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below. It is appreciated that the following drawings depict only certain embodiments of the invention and are therefore not to be considered limiting of its scope. For a person skilled in the art, it is possible to derive other relevant figures from these figures without inventive effort.
FIG. 1 is a schematic flow chart illustrating steps of an air purification control method for an animal laboratory according to an embodiment of the present invention;
fig. 2 is a block diagram schematically illustrating the structure of an air purification control system for an animal laboratory, which is provided in an embodiment of the present invention and is used for executing the air purification control method for the animal laboratory in fig. 1;
fig. 3 is a block diagram schematically illustrating a computer device for executing the air purification control method for the animal laboratory in fig. 1 according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
The following detailed description of embodiments of the invention refers to the accompanying drawings.
Referring to fig. 1, fig. 1 is a method for controlling air purification in an animal laboratory, which may include:
and step S101, receiving a purification strategy group and experimental state data in the current experimental area.
Specifically, the execution main body in the embodiment of the present invention may be any one computer device or a device cluster formed by a plurality of computer devices. The computer equipment can be a server, can also be terminal equipment, and can also comprise the server and the terminal equipment at the same time. If the execution main body in the embodiment of the present invention is a server, the execution main body may be any one server or a server cluster formed by a plurality of servers. If the execution main body in the embodiment of the present invention is a terminal device, the execution main body may also be any terminal device or a cluster formed by a plurality of terminal devices. Here, the execution subject in the embodiment of the present invention is taken as an example of a server, and what the execution subject is may be specifically selected according to an actual application, which is not limited to this.
First, the current experimental region can be determined: the current experimental area may be a laboratory area where an animal experiment is required, and the current experimental area may also be an area where a laboratory where an animal experiment is required is located, including a building, a park, and the like. In other words, the current experimental area is an area where the decontamination index and the decontamination apparatus start instruction corresponding to the decontamination index need to be detected, and the current experimental area is an area covered by a plurality of decontamination apparatuses at the same time.
The purification index in the current experimental region may be referred to as a safety detection index in the current experimental region, and the safety detection index may be a detection index that may cause biochemical pollution in the current experimental region within a certain time range. For example, the safety measure may refer to the air quality in the current experimental area within 15 minutes. The purification equipment starting instruction of the purification indexes in the current experimental area can be called as a purification operation instruction, and the purification operation instruction can call purification operation of corresponding purification equipment for indexes including air quality, experimental pollution discharge and the like included in safety detection indexes.
Therefore, firstly, the target sensor can collect the to-be-detected sources located in the current experimental area to obtain the sensing data of the to-be-detected sources, and the sensing data of the to-be-detected sources is the data including the to-be-detected sources. Because there may be a relative isolation between the sources to be detected located in the current experimental region or between the sources to be detected and the obstacles in the current experimental region, the data received by the target sensor and including the sources to be detected may only include the experimental data type of the sources to be detected, may also only include the experimental parameter values of the sources to be detected, and of course, may also include both the experimental data type of the sources to be detected and the experimental parameter values of the sources to be detected.
The target sensor may transmit the collected data including the source to be detected to the server. The target sensor can transmit data including the source to be detected to the server through a connecting wire, and can also transmit data including the source to be detected to the server through wireless communication.
After receiving the data including the source to be detected transmitted by the target sensor, the server may respectively detect the experimental parameter values and the experimental data types of the source to be detected in the data, and segment the detected experimental data types of the source to be detected from the data, so as to obtain a plurality of (a plurality of, or actually one) purification strategies. The plurality of purification strategies are data which only comprise experimental data types of the source to be detected. Similarly, the server may further segment the detected experiment parameter value of the source to be detected from the data, so as to obtain a plurality of experiment state parameters (a plurality of experiment state parameters, which may be one experiment state parameter in practice). The plurality of experimental state parameters are data only including experimental parameter values of the source to be detected.
Next, the server may collect the above obtained plurality of purification strategies to obtain a purification strategy group in the current experimental area: the server can identify each purification strategy through a multi-task classification model (obtained by pre-training) of the purification strategies and the experimental state parameters to obtain a strategy homogenization coefficient between any two purification strategies. For example, the server may extract the data feature of each purification strategy through a multitask classification model of the purification strategies and the experimental state parameters, and the data feature of each purification strategy may be an experimental state pollution index. The server can obtain the strategy homogenization coefficient between any two purification strategies through the difference grade coefficient between the experimental state pollution indexes of the two purification strategies.
The larger the difference grade coefficient between the experimental state pollution indexes of the two purification strategies is, the smaller the strategy homogenization coefficient between the two purification strategies is; conversely, the smaller the difference grade coefficient between the experimental state pollution indexes of the two purification strategies, the larger the strategy homogenization coefficient between the two purification strategies. If the strategy homogeneity coefficient between the two purification strategies is larger, the experimental data types contained in the two purification strategies belong to the same source to be detected. On the contrary, if the strategy homogeneity coefficient between the two purification strategies is smaller, the experimental data types contained in the two purification strategies are not the same to-be-detected source.
Therefore, the strategy homogeneity coefficient between the purification strategies can be called a purification strategy homogeneity coefficient, and the data differentiation coefficient between the purification strategies can be called a purification strategy differentiation coefficient. If the data differentiation coefficient between the two purification strategies is smaller than or equal to the purification strategy differentiation coefficient threshold (which can be set by itself), the two purification strategies can be considered to be replaceable with each other. The server may collect a plurality of purification strategies for which the purification strategy homogenization coefficient is greater than or equal to the purification strategy homogenization coefficient threshold and for which the purification strategy differentiation coefficient is less than or equal to the purification strategy differentiation coefficient threshold, so as to obtain a purification strategy group. The purification strategy group at least comprises one purification strategy, if the purification strategy group comprises a plurality of purification strategies, the purification strategies belong to the same source to be detected, namely, the purification strategy homogenization coefficient among the purification strategies is larger than or equal to the purification strategy homogenization coefficient threshold value, the purification strategies are continuous, namely, the purification strategy differentiation coefficient among adjacent purification strategies among the purification strategies is smaller than or equal to the purification strategy differentiation coefficient threshold value.
Similarly, the server may collect the obtained multiple experimental state parameters to obtain experimental state data in the current experimental area: the server can identify each experimental state parameter through a multi-task classification model (obtained by pre-training) of the purification strategy and the experimental state parameters to obtain a strategy homogenization coefficient between any two experimental state parameters. For example, the server may extract the data feature of each experimental state parameter through a multi-task classification model of the cleaning strategy and the experimental state parameter, and the data feature of each experimental state parameter may be an experimental state pollution index. The server can obtain the strategy homogenization coefficient between any two experimental state parameters through the difference grade coefficient between the experimental state pollution indexes of any two experimental state parameters.
The larger the difference grade coefficient between the experimental state pollution indexes of the two experimental state parameters is, the smaller the strategy homogenization coefficient between the two experimental state parameters is; conversely, the smaller the difference grade coefficient between the experimental state pollution indexes of the two experimental state parameters is, the larger the strategy homogenization coefficient between the two experimental state parameters is. If the strategy homogeneity coefficient between the two experimental state parameters is larger, the experimental parameter values contained in the two experimental state parameters belong to the same source to be detected. On the contrary, if the strategy homogeneity coefficient between the two experimental state parameters is smaller, it indicates that the experimental parameter values contained in the two experimental state parameters do not belong to the same source to be detected.
The server can also detect a data differentiation coefficient between any two experimental state parameters, and can judge whether the two experimental state parameters are continuous or not by detecting the data differentiation coefficient between any two experimental state parameters. Therefore, the strategy homogeneity coefficient between the experimental state parameters can be called as the experimental state parameter homogeneity coefficient, and the data differentiation coefficient between the experimental state parameters can be called as the experimental state parameter differentiation coefficient. If the data differentiation coefficient between two experimental state parameters is less than or equal to the experimental state parameter differentiation coefficient threshold (which can be set by itself), the two experimental state parameters can be considered to be continuous. The server can collect a plurality of experimental state parameters of which the experimental state parameter homogenization coefficient is greater than or equal to the experimental state parameter homogenization coefficient threshold and the experimental state parameter differentiation coefficient is less than or equal to the experimental state parameter differentiation coefficient threshold, so that experimental state data can be obtained. The experimental state data at least comprise one experimental state parameter, if the experimental state data comprise a plurality of experimental state parameters, the plurality of experimental state parameters belong to the same source to be detected, namely, the experimental state parameter homogenization coefficient among the plurality of experimental state parameters is greater than or equal to the experimental state parameter homogenization coefficient threshold value, the plurality of experimental state parameters are continuous, namely, the experimental state parameter differentiation coefficient among the adjacent experimental state parameters among the plurality of experimental state parameters is less than or equal to the experimental state parameter differentiation coefficient threshold value.
Therefore, through the process, the server can obtain the purification strategy group and the experimental state data in the current experimental area. The server may receive the decontamination policy set and the experimental status data in the current experimental area according to a time period, for example, receive the decontamination policy set and the experimental status data in the current experimental area every 15 minutes (or other time periods). It is understood that the decontamination strategy and the experimental status parameters in the experimental status data in the decontamination strategy set received by the server are also segmented from the data collected by the target sensor within the corresponding 15 minutes, including the source to be detected. Therefore, the safety detection index and the purification operation instruction in the current experimental area can be received later according to the time length of 15 minutes. For example, the safety detection index in the current experimental area within 11: 00-11: 15 minutes and the purification operation instruction of the safety detection index are received.
Step S102, associating the purification strategy group and the experimental state data in the current experimental region based on the parameter correlation between the purification strategy group and the experimental state data in the current experimental region to obtain the association relationship between the purification strategy and the experimental state data;
specifically, the experimental state data in the current experimental region received by the server may be referred to as experimental state data to be detected, and the purification strategy group in the current experimental region received by the server may be referred to as a purification strategy group to be detected. The purification strategy in the experimental state data to be detected can be obtained by the server by dividing the experimental project of the target animal. The target animal experiment project is data which are collected by a target sensor and comprise a source to be detected.
The target animal experiment project may only include the experiment parameter value of the source to be detected and not include the experiment data type of the source to be detected, but the target animal experiment project may also include the experiment parameter value of the source to be detected and also include the experiment data type of the source to be detected. Therefore, if the target animal experiment project comprises the experiment data type of the source to be detected, the server can identify the experiment data type in the target animal experiment project through the multi-task classification model (obtained by pre-training) of the purification strategy and the experiment state parameters, and segment partial data corresponding to the experiment data type from the target animal experiment project to obtain the purification strategy in the target animal experiment project.
The server can also extract the experimental state pollution index of the purification strategy in the target animal experimental project through the multi-task classification model of the purification strategy and the experimental state parameter, and the server can also extract the experimental state pollution index of the purification strategy in the purification strategy group to be detected through the multi-task classification model of the purification strategy and the experimental state parameter. The server can obtain the strategy homogenization coefficient between the purification strategy in the target animal experiment project and the purification strategy in the purification strategy group to be detected according to the difference grade coefficient between the experiment state pollution index of the purification strategy in the target animal experiment project and the experiment state pollution index of the purification strategy in the purification strategy group to be detected. The strategy homogenization coefficient can be used as the parameter correlation between the purification strategy group to be detected and the experimental state data to be detected, wherein the experimental state parameters in the target animal experimental project are located.
When the parameter correlation is greater than or equal to the correlation threshold (which can be set by itself), the experimental state data to be detected where the experimental state parameters in the experimental project of the target animal are located are considered to belong to the same source to be detected, so that the purification strategy group to be detected can be correlated with the experimental state data to be detected where the purification strategies in the experimental project of the target animal are located, and the correlation relationship between the purification strategies and the experimental state data can be obtained. The correlation relationship between one purification strategy and the experimental state data can comprise experimental state data to be detected and a purification strategy group to be detected, and the experimental state data to be detected and the purification strategy group to be detected in the correlation relationship between one purification strategy and the experimental state data belong to the same source to be detected.
Step S103, taking the experiment state data with failed correlation as the experiment state data to be processed, and determining a purification equipment starting instruction matched with the experiment state data to be processed according to the experiment purification adaptation degree between the experiment state data and the experiment state data to be processed in the correlation between the purification strategy and the experiment state data.
Specifically, the experimental state data to be detected that is not successfully associated with the purification strategy group to be detected may be referred to as experimental state data to be processed. For example, if the data collected by the target sensor and including the source to be detected only includes the experimental parameter value of the source to be detected, but does not include the experimental data type of the source to be detected, the server cannot successfully associate the experimental state data obtained according to the experimental state parameters in the data with the purification policy group. For another example, if there is no purging strategy set having a parameter correlation with certain experimental status data greater than or equal to the correlation threshold, the experimental status data cannot be successfully correlated with the purging strategy set.
Since the decontamination index in the current experimental region can be obtained from the experimental state data in the current experimental region, the decontamination apparatus start instruction corresponding to the experimental state data is received by associating the experimental state data with the decontamination strategy group, or by associating the decontamination strategy group with the experimental state data, and the decontamination apparatus start instruction is the decontamination apparatus start instruction to which the decontamination index belongs.
Therefore, the server can also receive the experimental purification adaptation degree between the experimental state data to be processed and the experimental state data in the incidence relation between the purification strategy and the experimental state data, and further, the server can receive the purification equipment starting instruction matched with the experimental state data to be processed through the experimental purification adaptation degree between the experimental state data to be processed and the experimental state data in the incidence relation between the purification strategy and the experimental state data.
In other words, the invention can receive not only the purification equipment starting instruction corresponding to the experimental state data successfully associated with the purification strategy group, but also the purification equipment starting instruction corresponding to the experimental state data unsuccessfully associated with the purification strategy group. The specific process of receiving the purification equipment starting instruction matched with the experimental state data to be processed is described in the following.
Firstly, how to receive the experimental purification adaptation degree between the experimental state data to be processed and the experimental state data in the incidence relation between the purification strategy and the experimental state data is specifically described as follows: the experiment state parameters included in the experiment state data to be processed may be referred to as first experiment state parameters, and the experiment state data to be processed may include a plurality of first experiment state parameters. The server can extract the data characteristic of each first experimental state parameter through a multi-task classification model (obtained by pre-training) of the purification strategy and the experimental state parameters, and the data characteristic can be an experimental state pollution index. The server may average the experiment state pollution indexes corresponding to each first experiment state parameter to obtain average pollution indexes corresponding to all the first experiment state parameters, and may refer to the average pollution indexes corresponding to the first experiment state parameters as first average pollution indexes. The first average contamination index is an experimental contamination status index of the experimental status data to be processed, and thus the first average contamination index may be referred to as a first experimental contamination status index of the experimental status data to be processed.
For example, the first experimental status parameter in the experimental status data to be processed may include a first experimental status parameter 1 and a first experimental status parameter 2, and if the experimental status contamination index of the first experimental status parameter 1 is (1, 2, 3), and the experimental status contamination index of the first experimental status parameter 2 is (4, 5, 6), the experimental status contamination index of (1, 2, 3) and the experimental status contamination index of (4, 5, 6) are averaged, and the obtained first average contamination index is ((1 + 4)/2, (2 + 5) 2, (3 + 6)/2), that is, (2.5, 3.5, 4.5).
Similarly, the experimental state parameters included in the experimental state data in the association relationship between the purging strategy and the experimental state data may be referred to as second experimental state parameters, and there may be a plurality of association relationships between the purging strategy and the experimental state data. The server may also receive an association feature of an association of each decontamination strategy with the experimental status data: assuming that the association relationship between the plurality of purification strategies and the experimental state data includes an association relationship between a first purification strategy and the experimental state data, where the association relationship included in the association relationship between the first purification strategy and the experimental state data may be a positive integer less than or equal to the total number of the association relationships between all the purification strategies and the experimental state data, and therefore, the association relationship between the first purification strategy and the experimental state data may refer to an association relationship between any one of the purification strategies and the experimental state data. Therefore, the association relationship characteristic of the association relationship between the first decontamination strategy and the experimental state data is taken as an example for explanation, and it can be understood that the principle of receiving the association relationship characteristic of the association relationship between each decontamination strategy and the experimental state data is the same as the principle of receiving the association relationship characteristic of the association relationship between the first decontamination strategy and the experimental state data.
Similarly, the server may extract, through the multitask classification model of the purification strategy and the experimental state parameters, a data feature of each second experimental state parameter, which is maintained by the association relationship between the first purification strategy and the experimental state data, where the data feature may be an experimental state pollution index. The server may average the experiment state pollution indexes corresponding to each second experiment state parameter in the association relationship between the first purification strategy and the experiment state data to obtain average pollution indexes corresponding to all second experiment state parameters in the association relationship between the first purification strategy and the experiment state data, and may refer to the average pollution indexes corresponding to the second experiment state parameters in the association relationship between the first purification strategy and the experiment state data as second average pollution indexes. The second average pollution index is an incidence relation characteristic of the incidence relation between the first purification strategy and the experimental state data, and the incidence relation characteristic of the experimental state data in the incidence relation between each purification strategy and the experimental state data can be called as a second experimental pollution state index. Thus, the second average pollution indicator is the second experimental pollution status indicator of the experimental status data in the correlation of the first decontamination strategy and the experimental status data.
For example, the second experimental state parameter in the correlation between the first purification strategy and the experimental state data may include a second experimental state parameter 1 and a second experimental state parameter 2, and if the experimental state pollution index of the second experimental state parameter 1 is (2, 3, 4) and the experimental state pollution index of the second experimental state parameter 2 is (6, 7, 8), the experimental state pollution index of (2, 3, 4) and the experimental state pollution index of (6, 7, 8) are averaged, and the obtained second average pollution index is ((2 + 6)/2, (3 + 7) 2, (4 + 8)/2), that is (4, 5, 6).
After obtaining a first experimental pollution state index of the experimental state data to be processed and a second experimental pollution state index of the experimental state data in the association relationship between each purification strategy and the experimental state data, the server may receive a difference grade coefficient between the first experimental pollution state index and each second experimental pollution state index, and may obtain the experimental purification suitability between the experimental state data to be processed and the experimental state data in the association relationship between each purification strategy and the experimental state data through the difference grade coefficient corresponding to the association relationship between each purification strategy and the experimental state data. The larger the difference grade coefficient is, the smaller the experimental purification suitability is, and the smaller the difference grade coefficient is, the larger the experimental purification suitability is. Therefore, the reciprocal of the difference grade coefficient corresponding to the incidence relation between each purification strategy and the experimental state data can be used as the experimental purification adaptation degree between the experimental state data to be processed and the experimental state data in the incidence relation between each purification strategy and the experimental state data, and certainly the experimental purification adaptation degree can not only be the reciprocal of the difference grade coefficient.
The incidence relation between the corresponding purification strategy with the experimental purification suitability degree greater than or equal to the experimental purification suitability degree threshold (which can be set by itself) and the experimental state data can be called as the incidence relation between the target purification strategy and the experimental state data. When the number of the incidence relations between the target purification strategies and the experimental state data is greater than a first preset number threshold and less than or equal to a second preset number threshold, the purification equipment starting instruction maintained by the purification strategy group in the incidence relations between the target purification strategies and the experimental state data can be directly used as the purification equipment starting instruction matched with the experimental state data to be processed. The first preset quantity threshold may be equal to 0, and the second preset quantity threshold may be equal to 1, so that the quantity of the association relationship between the target purification strategy and the experimental state data is greater than the first preset quantity threshold and less than or equal to the second preset quantity threshold, that is, the quantity of the association relationship between the target purification strategy and the experimental state data is equal to 1, that is, there is only one association relationship between the target purification strategy and the experimental state data, and at this time, the purification device start instruction maintained by the purification strategy group in the association relationship between the target purification strategy and the experimental state data may be directly used as the purification device start instruction matched with the experimental state data to be processed.
It should be noted that the server may perform data identification on the decontamination strategy maintained by the decontamination strategy group in the association relationship between the decontamination strategy and the experimental state data through the multitask classification model of the decontamination strategy and the experimental state parameters, so as to identify a decontamination apparatus start instruction of the experimental data type in the decontamination strategy (the decontamination apparatus start instruction may be referred to as a decontamination apparatus start instruction maintained by the corresponding decontamination strategy group). The purification device activation instruction, such as the experimental data type in the purification strategy identified by the server, may include activating the air purifier, setting the activation time, the operation duration, the operation power to the maximum power, and the like.
Wherein, there may be a plurality of the experimental state data to be processed. When the number of the incidence relations between the target purification strategies and the experimental state data is smaller than or equal to a first preset number threshold, the server can obtain a purification equipment starting instruction matched with each to-be-processed experimental state data in an equal weight expansion mode. The number of the association relations between the target purification strategy and the experimental state data is smaller than or equal to a first preset number threshold, that is, the number of the association relations between the target purification strategy and the experimental state data is equal to 0, that is, none of the association relations between one target purification strategy and the experimental state data exists. And obtaining a specific process of the purification equipment starting instruction matched with each experimental state data to be processed in an equal weight expansion mode, and please refer to the following description.
The association relationship between the purification strategy of the experimental state data with the maximum experimental purification adaptability and the experimental state data between the experimental state data and each to-be-processed experimental state data can be respectively referred to as the to-be-determined association relationship corresponding to each to-be-processed experimental state data. The purification equipment starting instruction maintained by the purification strategy group in the undetermined incidence relation corresponding to each piece of to-be-processed experimental state data can be respectively referred to as an undetermined purification equipment starting instruction corresponding to each piece of to-be-processed experimental state data. The server may determine a desired purge device start instruction (which may also be entered by a developer in advance), for example, a desired type, power, start time, and the like of the purge device, and may refer to the desired purge device start instruction as a type of a control instruction of the pending purge device. In other words, the type of device control instruction to be purged may be a device identification, a device type, a device power, and the like.
The server can obtain a plurality of control instructions corresponding to the control instruction type of the to-be-treated purification equipment through the to-be-treated purification equipment starting instruction corresponding to each to-be-treated incidence relation. For example, if the type of the control command of the equipment to be purified is to start air, the plurality of control commands corresponding to the type of the control command of the equipment to be purified may be to start a plurality of purification equipments simultaneously, for example, the plurality of purification equipments may include an air purifier, a drain purifier, a disinfectant sprayer, and the like. Therefore, if the experimental state data to be processed includes experimental state data 1 to be processed, experimental state data 2 to be processed, and experimental state data 3 to be processed, the start instruction of the equipment to be purified corresponding to the experimental state data 1 to be processed includes starting the equipment to be purified as an air purifier, the start instruction of the equipment to be purified corresponding to the experimental state data 2 to be processed includes starting the equipment to be purified as a drainage purifier, and the start instruction of the equipment to be purified corresponding to the experimental state data 3 to be processed includes starting the equipment to be purified as a sprinkler disinfectant, then, if the control instruction type of the equipment to be purified is the equipment type determining instruction, the obtained control instructions which limit the control instruction type of the equipment to be purified can be used for starting the air purifier, the drainage purifier and the disinfectant sprayer through the starting instruction of the equipment to be purified corresponding to the incidence relation to be processed.
The server may further receive instruction weights of the plurality of control instructions corresponding to the obtained types of the control instructions of the pending purification equipment in the purification equipment start instructions maintained by the purification strategy group of the association relationship between all the purification strategies and the experimental state data, and the instruction weights may be referred to as first instruction weights. For example, if the control commands corresponding to the types of the control commands of the equipment to be purified received by the server include 3 air purifiers, 5 drainage purifiers and 9 disinfectant sprayers, the first command weights corresponding to the control commands are 3: 5: 9. for another example, if the plurality of control instructions (including two control instructions, one is start and the other is stop) corresponding to the types of the control instructions of the to-be-determined purification equipment received by the server include 7 start instructions and 13 stop instructions, the first instruction weight corresponding to the plurality of control instructions is 7: 13.
The server can obtain a control instruction of each to-be-processed experimental state data for limiting the type of the control instruction of the to-be-processed purifying equipment according to the obtained first instruction weight for limiting the type of the control instruction of the to-be-processed purifying equipment, and can limit the control instruction of each to-be-processed experimental state data for limiting the type of the control instruction of the to-be-processed purifying equipment, which is called as a first target control instruction of each to-be-processed experimental state data for limiting the type of the control instruction of the to-be-processed purifying equipment. The server can limit the weight among the control instructions of the type of the control instructions of the equipment to be purified according to the first instruction weight, and the weight among the control instructions of the type of the control instructions of all the experimental state data to be processed is also equal to the first instruction weight.
For example, if the first instruction weight is equal to 1: 2: and 3, wherein 1 in the first instruction weight represents that the control instruction is the weight occupied by starting the air purifier, 2 in the first instruction weight represents that the control instruction is the weight occupied by starting the drainage purifier, and 3 in the first instruction weight represents that the control instruction is the weight occupied by starting the disinfectant sprayer. Then, if there are 6 pieces of experimental state data to be processed, the server may use the first target control instruction of any 1 piece of experimental state data to be processed in the 6 pieces of experimental state data to be processed as the start air purifier, the server may use the first target control instruction of any 2 pieces of experimental state data to be processed in the 6 pieces of experimental state data to be processed as the start drain purifier, and the server may use the first target control instruction of any 3 pieces of experimental state data to be processed in the 6 pieces of experimental state data to be processed as the start disinfectant sprayer, so that the instruction weight of the start air purifier, the start drain purifier, and the start disinfectant sprayer in the first target control instruction of the 6 pieces of experimental state data to be processed is also equal to the first instruction weight 1: 2: 3.
the type of the control instruction of the purification equipment to be determined, which has the first target control instruction corresponding to each experimental state data to be processed, can be used as the start instruction of the purification equipment matched with each experimental state data to be processed. For example, if the first target control instruction corresponding to the experimental state data to be processed is to start the air purifier, the purifying device start instruction matched with the experimental state data to be processed is to start the air purifying device in the purifying device.
Because the safety detection indexes and the purification operation instructions in the current experiment area are inquired many times, the purification equipment starting instructions of a certain source to be detected can not be noticed, but the weight (such as equipment type weight or running power weight) occupied by each purification equipment starting instruction in all the safety detection indexes can be noticed, so that the purification equipment starting instructions matched with the experimental state data to be processed can be obtained in an equal-weight expansion mode, and a good effect is achieved on the weight of the whole purification equipment starting instructions.
The embodiment of the invention provides a scene for receiving a purifying equipment starting instruction matched with experimental state data to be processed. This embodiment describes how to receive decontamination apparatus activation instructions that match the pending associations when there is no association of a target decontamination strategy with experimental status data. The type of the control instruction of the equipment to be purified can be an equipment type determining instruction, and the step of receiving the plurality of control instructions for limiting the type of the control instruction of the equipment to be purified from the association relationship between the purification strategy and the experimental state data by the server can comprise starting the air purification equipment, starting the drainage purification equipment and starting the disinfectant spraying equipment. For example, 10 instructions are total for starting the air purification equipment; 6 instructions are provided for starting the drainage purification equipment; the number of instructions for starting the disinfectant spraying equipment is 2. Therefore, the first instruction weight for starting the air purification device, starting the drainage purification device and starting the disinfectant spraying device is 10: 6: 2, namely 5: 3: 1.
assuming that there are 9 pieces of experimental state data to be processed, according to the first instruction weight and the equal weight expansion method, a starting instruction of the purification equipment matching any 5 pieces of experimental state data to be processed in the 9 pieces of experimental state data to be processed is used as starting air purification equipment, a starting instruction of the purification equipment matching any 3 pieces of experimental state data to be processed in the 9 pieces of experimental state data to be processed is used as starting drainage purification equipment, and a starting instruction of the purification equipment matching any 1 piece of experimental state data to be processed in the 9 pieces of experimental state data to be processed is used as starting disinfectant spraying equipment. Therefore, the second instruction weight for starting the air purification device, starting the drainage purification device and starting the disinfectant spraying device is also 5: 3: 1.
more, when the number of the association relations between the target purification strategies and the experimental state data is greater than a second preset number threshold, some strategies need to be set according to the association relations between the plurality of target purification strategies and the experimental state data to obtain a purification equipment starting instruction matched with the experimental state data to be processed. The number of the association relations between the target purification strategy and the experimental state data is greater than a second preset number threshold, that is, the number of the association relations between the target purification strategy and the experimental state data is more than one (a plurality of) but a plurality.
Similarly, when the number of the incidence relations between the target purification strategy and the experimental state data is larger than a second preset number threshold, the server can obtain a plurality of control instructions of the control instruction type of the equipment to be purified through the incidence relations between the target purification strategy and the experimental state data. For example, the type of the control instruction of the pending purification device is the operation power of the purification device, the association relationship between the plurality of target purification strategies and the experimental state data includes an association relationship 1 between the target purification strategies and the experimental state data, an association relationship 2 between the target purification strategies and the experimental state data, and an association relationship 3 between the target purification strategies and the experimental state data, the purification device start instruction maintained by the purification strategy group of the association relationship 1 between the target purification strategies and the experimental state data includes low-power operation, the purification device start instruction maintained by the purification strategy group of the association relationship 2 between the target purification strategies and the experimental state data includes medium-power operation, and the purification device start instruction maintained by the purification strategy group of the association relationship 1 between the target purification strategies and the experimental state data includes high-power operation. The plurality of control commands of the control command type of the pending decontamination apparatus obtained by the server through the correlation between the target decontamination strategy and the experimental state data may include low power operation, medium power operation, and high power operation.
Firstly, the server can receive the triggering quantity of a plurality of received control instructions of the control instruction types of the pending purification equipment in the purification equipment starting instructions maintained by the purification strategy group of the incidence relation between the target purification strategy and the experimental state data, the server can obtain the control instructions of the control instruction types of the pending purification equipment limited by the experimental state data to be processed from the plurality of control instructions according to the experimental purification adaptation degree between the experimental state data to be processed and the incidence relation between each target purification strategy and the experimental state data and the triggering quantity of the plurality of control instructions of the control instruction types of the pending purification equipment in the purification equipment starting instructions maintained by the purification strategy group of the incidence relation between the target purification strategy and the experimental state data, and the control instructions of the control instruction types of the pending purification equipment limited by the experimental state data to be processed can be used for limiting the control instructions of the control instruction types of the pending purification equipment, referred to as a second target control instruction. See below for details.
The server can compare the number of the trigger quantity of each control instruction in the plurality of control instructions of the type of the control instruction of the equipment to be purified, and if only one control instruction with the largest trigger quantity exists, the server can take the control instruction with the largest trigger quantity as a second target control instruction matched with the experimental state data to be processed. For example, if the type of the control instruction of the pending purification device is the operation power of the purification device, and the plurality of control instructions of the type of the control instruction of the pending purification device received by the server include 5 low-power operations, 7 medium-power operations, and 8 high-power operations, the control instruction with the largest number of triggers is the high-power operation (since 8 is greater than 7 and greater than 5), and the server may use the high-power operation as the second target control instruction of the experimental state data to be processed.
If a plurality of control instructions with the largest triggering quantity exist, the server can compare the incidence relation between the target purification strategy where the purification strategy group to which each control instruction with the largest triggering quantity belongs and the experimental state data and the experimental purification adaptation degrees between the target purification strategy and the experimental state data respectively, and if only one experimental purification adaptation degree is the largest in the experimental purification adaptation degrees, the server can use the control instruction corresponding to the largest experimental purification adaptation degree as a second target control instruction of the experimental state data to be processed.
For example, if the type of the control command of the pending decontamination apparatus is the decontamination apparatus operating power, and the plurality of control commands of the type of the control command of the pending decontamination apparatus received by the server include 5 for low power operation, 5 for medium power operation, and 3 for high power operation, the control command with the largest number of triggers includes low power operation and medium power operation. Then, the server may receive the largest experimental purification suitability degree, which is the first experimental purification suitability degree, of the experimental state data of the association relationship between the 5 target purification strategies and the experimental state data corresponding to the 5 low-power operations and the experimental state data, and the experimental state data to be processed. Similarly, the server may receive the maximum experimental purification suitability degree, which is the second experimental purification suitability degree, of the experimental state data of the association relationship between the 5 target purification strategies corresponding to the 5 medium power operations and the experimental state data, with the to-be-processed experimental state data.
The server can compare the first experiment purification adaptation degree with the second experiment purification adaptation degree, if the first experiment purification adaptation degree is larger than the second experiment purification adaptation degree, then the server can operate the low power corresponding to the first experiment purification adaptation degree as a second target control instruction of the to-be-processed experiment state data.
If there are a plurality of (a plurality of) maximum experimental purification suitability degrees, the server may further receive a sum of experimental purification suitability degrees that are possessed by an association relationship between a plurality of target purification strategies corresponding to the control instruction to which each maximum experimental purification suitability degree belongs and the experimental state data, respectively, and if there is only one "sum" of the "sum", the server may use the control instruction corresponding to the maximum sum as a second target control instruction of the experimental state data to be processed.
For example, if the first experimental cleaning suitability is equal to the second experimental cleaning suitability, the maximum experimental cleaning suitability includes 2 (i.e. the first experimental cleaning suitability and the second experimental cleaning suitability), the server may receive the sum of the experimental cleaning suitability between the experimental state data and the to-be-processed experimental state data in the association relationship between the experimental state data and the 5 target cleaning strategies corresponding to the 5 low-power operations corresponding to the first experimental cleaning suitability, the sum may be referred to as a first sum value, the server may further receive a sum of experimental cleaning suitability degrees between the experimental state data and the to-be-processed experimental state data in the association relationship between the experimental state data and the 5 target cleaning strategies corresponding to the 5 medium power operations corresponding to the second experimental cleaning suitability degree, and the sum may be referred to as a second sum value. The server may compare the first sum value with the second sum value, and use the control instruction corresponding to the largest sum value of the first sum value and the second sum value as a second target control instruction of the to-be-processed experimental state data. For example, if the first sum is greater than the second sum, then low power operation may be used as the second target control instruction for the pending experimental state data.
If there are a plurality of (more than one) maximum sums in the above-mentioned "sums", the server may arbitrarily select one control instruction as the second target control instruction of the to-be-processed experimental state data from a plurality of control instructions corresponding to the maximum "sum". For example, if the first sum is equal to the second sum, the server may arbitrarily select one control command from the low power operation and the medium power operation as the second target control command of the experimental state data to be processed.
The type of the control instruction of the purification equipment to be detected with the second target control instruction can be used as the start instruction of the purification equipment matched with the experimental state data to be processed. For example, if the type of the control instruction of the purification device to be processed is the operation power of the purification device, and the second target control instruction is the low-power operation, the start instruction of the purification device matched with the experimental state data to be processed may be the low-power operation.
Through the above process, namely in the case that the correlation between the target purification strategy and the experimental state data is 0, 1 and multiple (multiple), the purification equipment starting instruction matched with the experimental state data to be processed is received.
The embodiment of the invention provides an example of a method for receiving a starting instruction of purifying equipment. This embodiment describes how to receive a purge device start-up instruction matching the experimental status data to be processed when there are a plurality of correlations of the target purge strategy with the experimental status data. The method can comprise the following steps:
step S201, inquiring all possible values inquired by the experimental state data;
specifically, the server may query all possible values queried by the experimental state data, where the possible values are the control instructions of the type of the control instruction of the device to be purified, which are received by the server through the association relationship between the target purification policy and the experimental state data.
Step S202, a plurality of values appear;
specifically, it is determined whether there are a plurality of control commands of the control command type of the equipment to be purified received by the server according to the correlation between the target purification strategy and the experimental state data, if there are a plurality of control commands (for example, a plurality of control commands for starting the air purification equipment, starting the drainage purification equipment, and starting the disinfectant spraying equipment), the following step S204 is executed, and if there are not a plurality of control commands but only one control command, the following step S210 is executed.
Step S203, inquiring the times of different control instructions;
specifically, the server may query the number of triggers for each of a plurality of control commands of the type of control command of the pending purge device.
Step S204, judging whether a plurality of control instructions with the largest triggering quantity exist;
specifically, the server may determine whether there are a plurality of control commands having the largest number of triggers, and if there are a plurality of control commands, the following step S205 is executed, and if there is no plurality of control commands but only one control command, the following step S210 is executed.
Step S205, inquiring the number of the control instructions with the largest triggering quantity;
specifically, the server may query the number of control instructions having the largest number of triggers and fetch the control instructions.
Step S206, judging whether a plurality of control instructions with the highest matching scores exist;
specifically, the server may receive the maximum experimental purification suitability (i.e., the matching score) corresponding to each control instruction extracted in step S205, the server may compare the maximum experimental purification suitability (i.e., the matching score) of the control instruction corresponding to each control instruction, and continuously determine the maximum experimental purification suitability among the maximum experimental purification suitability of the control instruction corresponding to each control instruction, if there is only one maximum experimental purification suitability, the following step S210 is performed, and if there are a plurality of maximum experimental purification suitability, the server may extract the control instruction corresponding to the maximum experimental purification suitability again, and perform the following step S207.
Step S207, summing matching scores corresponding to the control instruction;
specifically, the server may sum up the plurality of experimental purification suitability degrees corresponding to each control instruction extracted in step S206, to obtain a sum value corresponding to each control instruction.
Step S208, judging whether a plurality of control instructions with the highest sum of matching scores exist;
specifically, the server may determine a maximum value among the summation values corresponding to each control command, and if there are a plurality of the maximum values, perform the following step S209, and if there is only one of the maximum values, perform the following step S210.
Step S209, random selection;
specifically, the server may arbitrarily select one control instruction from a plurality of control instructions corresponding to the plurality of maximum values in step S208, as the second target control instruction of the to-be-processed experimental state data.
Step S210, obtaining a final control instruction of the experimental state data;
specifically, if the step S202 to the step S209 are executed, the control instruction with the unique control instruction type of the device to be purified may be used as the second target control instruction of the experimental state data to be processed. If the above step S204 goes to step S209, the control command with the largest number of triggers may be used as the second target control command of the to-be-processed experimental state data. If the above step S206 goes to step S209, the control command with the largest experimental purification suitability may be used as the second target control command of the to-be-processed experimental state data. If the above step S208 is executed to step S209, the control command with the largest corresponding sum value may be used as the second target control command of the to-be-processed experimental state data.
After the second target control instruction of the experimental state data to be processed is obtained, the server can use the type of the control instruction of the purification equipment to be determined with the second target control instruction as the start instruction of the purification equipment matched with the incidence relation to be processed.
By the method, the purification equipment starting instruction matched with the to-be-processed experimental state data can be accurately obtained according to the experimental purification adaptation degree between the experimental state data and the to-be-processed association relation in the association relation between the purification strategy and the experimental state data and the triggering quantity of each control instruction of the to-be-processed equipment control instruction type.
The embodiment of the invention provides a scene for receiving a purifying equipment starting instruction corresponding to experimental state data. For the experiment state data successfully associated, that is, for the experiment state data in the association relationship between the purification policy and the experiment state data, the server may directly request an experiment data type background service (a background for storing the purification policy group and extracting and storing the purification device start instruction maintained by the purification policy group), and receive the purification policy group associated with the experiment state data and the purification device start instruction maintained by the purification policy group (the purification device start instruction is also the purification device start instruction corresponding to the experiment state data). The server can then cache the purification equipment starting instruction and the experimental state data corresponding to the received experimental state data for subsequent use in calculating the purification index and the purification equipment starting instruction in the current experimental region.
The server can also store the successfully-associated experimental state data and the purification equipment starting instruction corresponding to the experimental state data to the temporary server, so that for the unsuccessfully-associated experimental state data (i.e. the experimental state data to be processed), the server can receive the successfully-associated experimental state data and the purification equipment starting instruction corresponding to the experimental state data from the temporary server. The server may further receive the purge device start instruction matching the experiment state data with failed correlation by an experiment purification adaptation degree (an instant empty purification matching policy) between the experiment state data with successful correlation and the experiment state data to be processed, a selection policy (i.e., the policy for receiving the purge device start instruction matching the experiment state data to be processed when there are a plurality of correlations between the target purification policy and the experiment state data), and an equal weight expansion policy (i.e., the policy for receiving the purge device start instruction matching the experiment state data to be processed when there is no correlation between the target purification policy and the experiment state data).
It should be noted that the server in the space-time purification matching policy may receive the experiment state data successfully associated within the historical time (for example, the experiment state data in the association relationship between the purification policy and the experiment state data, or may set the historical time to be 15 minutes, that is, the experiment state data in the association relationship between the purification policy and the experiment state data received within 15 minutes), and calculate the experiment purification adaptation degree between the experiment state data and the experiment state data to be processed. The "null" in the space-time purification matching strategy means that the server can also receive experimental state data in the association relationship between the purification strategy and the experimental state data obtained by the sensor located at another key position (e.g., a vent position) in the same region as the target sensor, and then the server can calculate the experimental purification adaptation degree between the experimental state data and the experimental state data to be processed. In other words, the correlation between the target purification strategy and the experimental state data may be a correlation between the purification strategy received by the target sensor and the experimental state data, or a correlation between the purification strategy received by another sensor in the same area as the target sensor and the experimental state data.
If a certain source to be detected appears in the target sensor, the source to be detected is likely to appear in sensors at other key positions in the same area as the target sensor, so that the incidence relation between the target purification strategy and the experimental state data is received through the space-time matching strategy, the data retrieval range is widened, the successful receiving probability and the receiving accuracy of the incidence relation between the target purification strategy and the experimental state data are improved, and the accuracy of the received purification equipment starting instruction matched with the experimental state data to be processed can be improved.
Embodiments of the present invention provide an example of receiving a decontamination apparatus start-up instruction that matches the experimental state data to be processed. The method can comprise the following steps:
step S301, correlating failed experimental state data;
specifically, the server may extract the experiment state data (i.e., the experiment state data to be processed) with failed association, and receive the experiment state data matching the experiment state data to be processed through the following process.
Step S302, receiving the incidence relation between all current purification strategies and experimental state data from a temporary server;
specifically, the server may receive all current experimental status data successfully associated with the decontamination policy group from the temporary server.
Step S303, selecting experimental state data which are in the same sensor with the experimental state data with the association failure;
specifically, the server may select, from all the experimental state data successfully associated with the purification policy group, experimental state data under the target sensor where the experimental state data to be processed is located, where the experimental state data may be experimental state data in an association relationship between the purification policy and the experimental state data.
Step S304, matching incidence relation features;
specifically, the correlation characteristic matching is to calculate the experimental purification suitability between the experimental state data, and the server may calculate the experimental purification suitability between the to-be-processed experimental state data and the experimental state data selected in the step S303.
Step S305, threshold filtering is carried out, and whether the incidence relation between the purification strategy and the experimental state data is matched or not is judged;
specifically, the server may select the experimental state data with the experimental purification suitability greater than the experimental purification suitability threshold value from the experimental state data to be processed, and perform multi-association selection if a plurality of experimental state data are selected. And performing multi-association selection, namely obtaining a purification equipment starting instruction matched with the experimental state data to be processed through the association relationship between the target purification strategies and the experimental state data when the association relationship between the target purification strategies and the experimental state data is multiple. If the selected experimental state data is zero, that is, there is no experimental state data, the server may receive successfully-associated experimental state data received by other sensors in the same area as the target sensor to which the to-be-processed experimental state data belongs, and may calculate the experimental purification adaptability between the experimental state data and the to-be-processed experimental state data again (that is, perform step S304).
Step S306, judging whether the correlation between the purification strategy and the experimental state data in the same region is matched;
specifically, the server may select, from the experimental state data received by the other sensors in the same area as the target sensor, the experimental state data whose experimental purification suitability with the to-be-processed experimental state data is greater than the experimental purification suitability threshold. If there are a plurality of pieces of selected experimental state data, the following step S308 is executed to perform multi-association selection.
Step S307, equal weight expansion;
specifically, if the experimental state data is not selected in step S306, the decontamination apparatus start instruction matched with the experimental state data to be processed may be received in an equal weight expansion manner, which is the same as the above-mentioned process of receiving the decontamination apparatus start instruction matched with the experimental state data to be processed in an equal weight expansion manner when the association relationship between the target decontamination strategy and the experimental state data does not exist.
Step S308, multi-association selection;
specifically, when a plurality of experimental state data selected by the server exist, the process of performing multi-association selection on the plurality of experimental state data is the same as the process of receiving the purge device start instruction matched with the experimental state data to be processed when a plurality of association relationships exist between the target purge strategy and the experimental state data.
Through the process, the starting instruction of the purifying equipment matched with the experimental state data to be processed can be received certainly.
Step S104, correlating the purification equipment starting instruction matched with the experimental state data to be processed to obtain the correlation between the purification equipment starting instruction and the experimental state data to be processed;
specifically, the server may associate the decontamination apparatus start instruction matched with the experimental state data to be processed, so as to obtain an association relationship between the decontamination apparatus start instruction and the experimental state data to be processed. The incidence relation between the purifying equipment starting instruction and the experimental state data to be processed can comprise the experimental state data to be processed and the purifying equipment starting instruction matched with the experimental state data to be processed.
Optionally, when the incidence relation between the target purification strategy and the experimental state data is only 1, the experimental state data to be processed may not be associated with the matched purification device start instruction, but the purification strategy group in the incidence relation between the experimental state data to be processed and the target purification strategy may be directly associated with the experimental state data, so as to obtain more incidence relations between the purification strategies and the experimental state data.
Step S105, determining a purification index in the current experimental area and a purification equipment starting instruction corresponding to the purification index according to the incidence relation between the purification equipment starting instruction and the experimental state data to be processed and the incidence relation between the purification strategy and the experimental state data;
specifically, the process server may receive the association between the purification strategy and the experimental state data in the current experimental region and the association between the purification equipment start instruction and the experimental state data to be processed, and both the association between the purification strategy and the experimental state data in the current experimental region and the association between the purification equipment start instruction and the experimental state data to be processed may be referred to as a current experimental target association. The current experiment target association relationship may be used to receive a purification index (i.e., a safety detection index) in the current experiment area and a purification equipment start instruction (i.e., a purification operation instruction) corresponding to the purification index, as described below.
In fact, by the method provided by the present invention, each experimental state data received by the server in the current experimental area can be associated with a corresponding purification equipment start instruction or purification strategy group.
The server may query, within a certain period of time (for example, within 15 minutes between 11:45 and 12: 00), the number of successfully correlated experimental state data in the current experimental region, and in fact, the number of successfully correlated experimental state data is equal to the number of associated relationships of the current experimental target, so the server may also directly query the number of associated relationships of the current experimental target received within the period of time, and the server may use the number of queried associated relationships of the current experimental target as a purification index in the current experimental region within the period of time, where the unit of the purification index may refer to a carbon monoxide mean value range mg/cubic meter, and the purification index may refer to a carbon monoxide mean value range 2.50 to 4.45 mg/cubic meter, for example.
The server can receive a purification equipment starting instruction corresponding to the experimental state data through the incidence relation of the current experimental target where the experimental state data is located, and because the purification indexes in the current experimental area are received through the experimental state data, the purification equipment starting instruction corresponding to the experimental state data is the purification equipment starting instruction corresponding to the purification indexes in the current experimental area.
Wherein, every experimental state data all corresponds its clarification plant start-up instruction that corresponds. And a purification equipment starting instruction corresponding to the experimental state data is a purification equipment starting instruction matched with the experimental state data in the current experimental target incidence relation of the experimental state data, or a purification equipment starting instruction maintained by the purification strategy group in the current experimental target incidence relation of the experimental state data.
In the application embodiment, the process of receiving the purification device start instruction corresponding to the experimental state data by the server according to the current experimental target incidence relation where the experimental state data is located is as follows: the server can extract the data characteristics of the purification strategies contained in the purification strategy group in the current experiment target association relation through the multitask classification model of the purification strategies and the experiment state parameters, and can identify the purification equipment starting instructions contained in the purification strategies in the purification strategy group through the extracted data characteristics, wherein the purification equipment starting instructions can include the starting time, the running power and the like of purification equipment such as a purification equipment running power air purifier, a water quality purifier, a disinfection liquid sprayer and the like. For example, the purification device start instruction included in the purification strategy group extracted by the server may refer to that the air purifier is started immediately after low-power operation and is operated for 10 minutes at the maximum power.
More, when the experiment parameter numerical attribute corresponding to the safety detection index in the current experiment area needs to be received, the data identification can be performed on the experiment state parameter of the experiment state data in the current experiment area, so as to obtain the experiment parameter numerical attribute corresponding to the safety detection index in the current experiment area.
The purge device start instruction included in the purge strategy group may be referred to as a purge device start instruction maintained by the purge strategy group. The cleansing policy group in the association relationship of the current experimental target and the cleansing device start instruction maintained by the cleansing policy group may be cached through a three-layer caching mechanism, so as to reduce the data request pressure of the defined database when receiving the cleansing device start instruction maintained by the cleansing policy group, which is described in detail below.
If the current experiment target association relationship where the target purifying equipment starting instruction is located further comprises a purifying strategy group, the target purifying equipment starting instruction and the purifying strategy group can be combined into a structural body and stored to the local terminal, the temporary server and the cloud cluster together.
Before the target purifying equipment starting instruction is stored in the local terminal, the temporary server and the cloud cluster, a purification mark can be added for the target purifying equipment starting instruction or a structural body for collecting the target purifying equipment starting instruction and the purification strategy group. Wherein adding a decontamination token to a structure may refer to adding the same decontamination token to a targeted decontamination apparatus activation instruction and a decontamination strategy group in the structure together. Meanwhile, the same purification mark can be added to the target purification equipment starting instruction and the experimental state data which belong to the same current experimental target incidence relation, so that the target purification equipment starting instruction corresponding to the experimental state data can be quickly received through the purification mark in the follow-up process. Therefore, the target decontamination apparatus start instruction added with the decontamination symbol or the structure added with the decontamination symbol can be stored in the local terminal, the temporary server and the cloud cluster respectively.
The features of the local terminal, temporary server, and cloud cluster are described below:
the reading and writing efficiency of receiving the target purification equipment starting instruction from the local terminal is higher than that of receiving the target purification equipment starting instruction from the temporary server; the read-write efficiency of receiving the target purifying equipment starting instruction from the temporary server is higher than the read-write efficiency of receiving the target purifying equipment starting instruction from the cloud cluster. The available storage space of the starting instruction of the target purifying equipment limited by the local terminal is smaller than that of the starting instruction of the target purifying equipment limited by the temporary server; the temporary server limits the available storage space of the target purifying equipment starting instruction to be smaller than the available storage space of the cloud cluster limited target purifying equipment starting instruction. It can be understood that all target purge device start-up instructions are stored in the cloud cluster. However, as time goes by, the data amount of the target purge device start-up instruction becomes larger and more, and only a part of the target purge device start-up instruction is saved in the local terminal and the temporary server, as described below.
For example, the targeted purge device startup instructions stored in the temporary server may include a first purge device startup instruction and a second purge device startup instruction. The experimental data validity period set for the first decontamination apparatus activation instruction may be referred to as a first experimental data validity period, and the experimental data validity period set for the second decontamination apparatus activation instruction may be referred to as a second experimental data validity period. The first experimental data expiration date may be different from the second experimental data expiration date. When the first experimental data validity period is not satisfied at the first moment, namely the first moment is not within the first experimental data validity period, the first decontamination apparatus activation instruction may be deleted from the temporary server at the first moment. When the second experimental data validity period is not satisfied at the second moment, that is, the second moment is not within the second experimental data validity period, the second decontamination apparatus activation instruction may be deleted from the temporary server at the second moment.
The process of receiving the target purification device start instruction from the local terminal, the temporary server or the cloud cluster by the server may be: the server may obtain a first instruction receiving instruction according to the purification sign added to the experiment state data in the current experiment target association relationship, where the first instruction receiving instruction may be an instruction receiving instruction for receiving a target purification device start instruction from the local terminal.
If the server does not receive the target purification device starting instruction from the local terminal according to the first instruction receiving instruction, the server may obtain a second instruction receiving instruction according to the first instruction receiving instruction, where the second instruction receiving instruction may refer to an instruction receiving instruction for receiving the target purification device starting instruction from the temporary server. In practice, the second instruction receipt indication may be the same as the first instruction receipt indication.
If the server does not receive the target purifying device starting instruction from the temporary server according to the second instruction receiving instruction, the server may obtain a third instruction receiving instruction according to the second instruction receiving instruction, where the third instruction receiving instruction may refer to an instruction receiving instruction for receiving the target purifying device starting instruction from the cloud cluster. In practice, the third instruction receiving instruction may be the same as the second instruction receiving instruction.
The server may further receive an instruction through the third instruction, and receive a requested target decontamination apparatus start instruction from the cloud cluster. The target purification device starting instruction is received from a local terminal, a temporary server or a cloud cluster according to the first instruction receiving instruction, the second instruction receiving instruction or the third instruction receiving instruction, that is, the target purification device starting instruction added with the same purification sign as that in the first instruction receiving instruction, the second instruction receiving instruction or the third instruction receiving instruction is received.
The invention provides an exemplary description of a scenario for receiving a target purge device start-up instruction. When the server receives an instruction receiving instruction defining a target purification apparatus start instruction, the target purification apparatus start instruction may be received in the local terminal by the instruction receiving instruction first. If the server does not receive the target purge device activation instruction in the local terminal, the server may then receive the target purge device activation instruction in the temporary server. If the server does not receive the target purifying equipment starting instruction in the temporary server, the server can receive the target purifying equipment starting instruction in the cloud cluster.
The invention provides an example of receiving a purge device start instruction corresponding to experimental state data. The target sensor can collect the current experiment area to obtain a plurality of data including the source to be detected. The target sensor may transmit the received data including the plurality of sources to be detected to the server. As a 1: the server can detect the experimental data types in the data including the source to be detected to obtain a plurality of purification strategies in the current experimental area. As a 2: the server can also detect the experiment parameter values in the data including the source to be detected to obtain a plurality of experiment state parameters in the current experiment area. As a 3: the server can collect and track the received purification strategies, and then the purification strategy group in the current experimental area can be obtained. As a 4: the server can collect and track the received experimental state parameters, and experimental state data in the current experimental area can be obtained. As a 5: the server can associate the received purification strategy group with the experimental state data, and then the association relation between the purification strategy in the current experimental area and the experimental state data can be obtained.
After receiving the association relationship between the purification strategy and the experimental state data, the server can extract the purification equipment starting instruction maintained by the purification strategy group in the association relationship between the purification strategy and the experimental state data for extraction, and thus the experimental data type attribute is obtained. The server can cache the extracted experimental data type attributes to the local terminal, the temporary server and the cloud cluster respectively. For the experiment state data successfully associated (i.e. the experiment state data in the association relationship between the purification strategy and the experiment state data), the purification equipment starting instruction corresponding to the experiment state data can be directly queried in the experiment data type background, and the purification equipment starting instruction is the purification equipment starting instruction maintained by the purification strategy group in the same association relationship between the purification strategy and the experiment state data with the experiment state data.
For the experiment state data with failed correlation (i.e., the experiment state data to be processed), the server may obtain the correlation between the target purification strategy and the experiment state data through the experiment state data with successful correlation received by the target sensor to which the experiment state data to be processed belongs and the experiment state data with successful correlation received by other sensors in the same area as the target sensor (i.e., the experiment purification adaptation degree between the experiment state data and the experiment state data to be processed, which are maintained by the correlation between the target purification strategy and the experiment state data, is greater than or equal to the experiment purification adaptation degree threshold). Further, only by performing operations such as a multi-association selection process (when the number of the association relationships between the target decontamination policy and the experimental state data is more than one) and equal weight expansion (when the number of the association relationships between the target decontamination policy and the experimental state data is 0) on the association relationships between the target decontamination policy and the experimental state data (when the number of the association relationships between the target decontamination policy and the experimental state data is 1), or on the association relationships between the target decontamination policy and the experimental state data, a decontamination apparatus start instruction matching the experimental state data to be processed can be received, and the specific process may be referred to step S103.
The experimental data type background can be used for storing a purification strategy group in the incidence relation between the purification strategy and the experimental state data and a purification equipment starting instruction included in the purification strategy group. The experimental parameter value background can be used for receiving a purifying equipment starting instruction matched with the experimental state data.
Further, after the first purge device start instruction is deleted from the temporary server, the server receives a plurality of second instruction receiving instructions defining the first purge device start instruction, and when the number of the plurality of second instruction receiving instructions is greater than a request preset number threshold (which may be set by itself), one second instruction receiving instruction (which may be randomly selected) may be selected from the plurality of second instruction receiving instructions as the target instruction receiving instruction. The server can obtain a third instruction receiving instruction for receiving the first purifying device starting instruction from the cloud cluster according to the target instruction receiving instruction. The server may receive an instruction to start the first purifying device from the cloud cluster according to the third instruction.
Then, the server can reset the first purifying device starting instruction received from the cloud cluster back to the temporary server, that is, the first purifying device starting instruction is stored in the temporary server again. In this case, the instruction receiving instruction other than the target instruction receiving instruction among the plurality of second instruction receiving instructions may be referred to as a pending instruction receiving instruction. Since the first purge device start instruction has been restored to the temporary server, the first purge device start instruction can be received separately for each pending instruction reception instruction directly from the temporary server. By returning the first cleaning device activation instruction to the temporary server, access to the defined cloud cluster may also be reduced. By the method, the cloud cluster is limited to have only a small number of instruction receiving instructions at the same time, and the problem of cache breakdown of the cloud cluster can be avoided.
Therefore, the server can obtain the safety detection index in the current experiment area by inquiring according to the experiment state data in the incidence relation of the current experiment target. The server can receive a target purification equipment starting instruction corresponding to the experimental state data from a local terminal, a temporary server or a cloud cluster through a purification mark added to the experimental state data in the current experimental target incidence relation, and the received target purification equipment starting instruction is a purification equipment starting instruction corresponding to the purification index in the current experimental area.
The method provided by the invention can receive the purification strategy group and the experimental state data in the current experimental area, can receive the purification index in the current experimental area through the experimental state data, can receive the purification equipment starting instruction in the current experimental area through the purification strategy group, and can match the relevant failed experimental state data with the corresponding purification equipment starting instruction, thereby improving the accuracy of the received purification index and the purification equipment starting instruction in the current experimental area.
By the method provided by the invention, when the target purifying equipment starts the instruction, the instruction can be directly received in the local terminal or the temporary server as far as possible so as to reduce the access frequency to the cloud cluster as much as possible, thereby avoiding the task blockage caused by excessive access to the cloud cluster, and simultaneously improving the receiving read-write efficiency and the receiving stability for limiting the target purifying equipment starting instruction.
Referring to fig. 2, the air purification control system 110 for an animal laboratory according to an embodiment of the present invention includes:
the receiving module 1101 is configured to receive a decontamination strategy set and experiment state data in a current experiment area.
The association module 1102 is configured to associate the purification strategy group and the experimental state data in the current experimental region based on a parameter correlation between the purification strategy group and the experimental state data in the current experimental region, so as to obtain an association relationship between a plurality of purification strategies and the experimental state data; the experimental state data in the incidence relation between each purification strategy and the experimental state data respectively comprise second experimental state parameters in the current experimental region.
A determining module 1103, configured to use the experimental state data with failed correlation as to-be-processed experimental state data, and determine a purification device start instruction matched with the to-be-processed experimental state data according to an experimental purification adaptation degree between the experimental state data and the to-be-processed experimental state data in an association relationship between a purification strategy and the experimental state data; and correlating the purification equipment starting instruction matched with the experimental state data to be processed to obtain the correlation between the purification equipment starting instruction and the experimental state data to be processed.
And the purification module 1104 is configured to determine a purification index in the current experimental region and a purification equipment start instruction corresponding to the purification index according to the association relationship between the purification equipment start instruction and the experimental state data to be processed and the association relationship between the plurality of purification strategies and the experimental state data.
It should be noted that, as for the implementation principle of the air purification control system 110 for an animal laboratory, reference may be made to the implementation principle of the air purification control method for an animal laboratory, and details are not described herein again.
The embodiment of the invention provides a computer device 100, wherein the computer device 100 comprises a processor and a nonvolatile memory storing computer instructions, and when the computer instructions are executed by the processor, the computer device 100 executes the air purification control system 110 for the animal laboratory. As shown in fig. 3, fig. 3 is a block diagram of a computer device 100 according to an embodiment of the present invention. The computer device 100 includes an air purification control system 110 for an animal laboratory, a memory 111, a processor 112, and a communication unit 113.
To facilitate the transfer or interaction of data, the elements of the memory 111, the processor 112 and the communication unit 113 are electrically connected to each other, directly or indirectly. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The air purification control system 110 for animal laboratories comprises at least one software function which may be stored in the form of software or firmware (firmware) in the memory 111 or be solidified in the Operating System (OS) of the computer device 100. The processor 112 is used for executing the air purification control system 110 for the animal laboratory stored in the memory 111, for example, software function modules and computer programs included in the air purification control system 110 for the animal laboratory, and the like.
The embodiment of the invention provides a readable storage medium, which comprises a computer program, and the computer program controls computer equipment of the readable storage medium to execute the air purification control method for the animal laboratory when running.
The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. 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 disclosure and its practical applications, to thereby enable others skilled in the art to best utilize the disclosure and various embodiments with various modifications as are suited to the particular use contemplated. The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. 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 disclosure and its practical applications, to thereby enable others skilled in the art to best utilize the disclosure and various embodiments with various modifications as are suited to the particular use contemplated.

Claims (2)

1. An air purification control method for an animal laboratory is characterized by comprising the following steps:
receiving a purification strategy group and experimental state data in a current experimental area;
associating the purification strategy group and the experimental state data in the current experimental region based on the parameter correlation between the purification strategy group and the experimental state data in the current experimental region to obtain the association relationship between a plurality of purification strategies and the experimental state data;
taking the experimental state data with failed correlation as experimental state data to be processed, and determining a purification equipment starting instruction matched with the experimental state data to be processed according to the experimental purification adaptation degree between the experimental state data and the experimental state data to be processed in the correlation between the purification strategy and the experimental state data;
correlating the purification equipment starting instruction matched with the experimental state data to be processed to obtain the incidence relation between the purification equipment starting instruction and the experimental state data to be processed;
determining a purification index in the current experimental area and a purification equipment starting instruction corresponding to the purification index according to the incidence relation between the purification equipment starting instruction and the experimental state data to be processed and the incidence relation between the plurality of purification strategies and the experimental state data;
the receiving of the purification strategy group and the experimental state data in the current experimental region comprises:
receiving a plurality of purification strategies in the current experimental region and a plurality of experimental state parameters in the current experimental region;
receiving purification strategy homogenization coefficients and purification strategy differentiation coefficients among the plurality of purification strategies;
receiving an experiment state parameter homogenization coefficient and an experiment state parameter differentiation coefficient among the plurality of experiment state parameters;
collecting the plurality of purification strategies based on the purification strategy homogenization coefficients and the purification strategy differentiation coefficients to obtain a purification strategy group in the current experimental area;
collecting the plurality of experimental state parameters based on the experimental state parameter homogenization coefficients and the experimental state parameter differentiation coefficients to obtain experimental state data in the current experimental area;
the associating the purification strategy group and the experimental state data in the current experimental region based on the parameter correlation between the purification strategy group and the experimental state data in the current experimental region to obtain the association relationship between the plurality of purification strategies and the experimental state data includes:
taking the experimental state data in the current experimental region as experimental state data to be detected, and taking the purification strategy group in the current experimental region as a purification strategy group to be detected; the experimental state parameters in the experimental state data to be detected are obtained from the target animal experimental project in the current experimental area;
receiving a purification strategy in the target animal experiment project, and taking a strategy homogenization coefficient between the purification strategy in the target animal experiment project and a purification strategy in the purification strategy group to be detected as the parameter correlation between the experimental state data to be detected and the purification strategy group to be detected;
when the parameter correlation is larger than or equal to a correlation threshold value, correlating the to-be-detected experimental state data with the to-be-detected purification strategy group to obtain the incidence relation between the plurality of purification strategies and the experimental state data;
the method for determining the purification equipment starting instruction matched with the experiment state data to be processed by taking the experiment state data failed to be associated as the experiment state data to be processed and determining the purification equipment starting instruction matched with the experiment state data to be processed according to the experiment purification adaptation degree between the experiment state data and the experiment state data to be processed in the association relationship between the purification strategy and the experiment state data comprises the following steps:
determining the experiment state data with failed correlation as experiment state data to be processed, and receiving experiment state pollution indexes corresponding to each first experiment state parameter in the plurality of first experiment state parameters;
receiving first average pollution indexes corresponding to the plurality of first experiment state parameters based on the experiment state pollution indexes corresponding to each first experiment state parameter;
taking the first average pollution index as a first experiment pollution state index of the experiment state data to be processed; the first experiment state parameter belongs to the current experiment area;
respectively receiving a second experimental pollution state index of the experimental state data in the incidence relation between each purification strategy and the experimental state data based on a second experimental state parameter included in the incidence relation between each purification strategy and the experimental state data;
receiving a difference grade coefficient between the first experimental pollution state index and a second experimental pollution state index corresponding to the incidence relation between each purification strategy and the experimental state data;
determining experimental purification adaptation degrees between the experimental state data in the incidence relation between each purification strategy and the experimental state data to be processed respectively based on the difference grade coefficient to which the incidence relation between each purification strategy and the experimental state data belongs;
when the number of the incidence relations between the target purification strategies and the experimental state data is within a preset number range, determining a purification equipment starting instruction maintained by a purification strategy group in the incidence relations between the target purification strategies and the experimental state data as a purification equipment starting instruction matched with the experimental state data to be processed, wherein the preset number range is that the number of the incidence relations between the target purification strategies and the experimental state data is larger than a first preset number threshold value and smaller than or equal to a second preset number threshold value;
taking the purification equipment starting instruction maintained by the purification strategy group in the incidence relation between the plurality of purification strategies and the experimental state data as the purification equipment starting instruction maintained by the incidence relation between the plurality of purification strategies and the experimental state data;
taking the incidence relation between the plurality of purification strategies and the experimental state data and the incidence relation between the purification equipment starting instruction and the experimental state data to be processed as the current experimental target incidence relation in the current experimental area;
taking a purifying equipment starting instruction maintained by the current experiment target incidence relation as a target purifying equipment starting instruction;
adding the same purification marks for the target purification equipment starting instruction and the experimental state data in the incidence relation of the current experimental target;
respectively storing the target purifying equipment starting instruction with the purifying mark to a local terminal, a temporary server and a cloud cluster; the read-write efficiency of the target purification equipment starting instruction received from the local terminal is greater than the read-write efficiency of the target purification equipment starting instruction received from the temporary server; the read-write efficiency of the target purification equipment starting instruction received from the temporary server is greater than the read-write efficiency of the target purification equipment starting instruction received from the cloud cluster; the local terminal limits the available storage space of the target purifying equipment starting instruction, and the available storage space is smaller than the available storage space of the target purifying equipment starting instruction limited by the temporary server; the temporary server limits the available storage space of the target purifying equipment starting instruction, and the available storage space is smaller than the available storage space of the cloud cluster limited by the target purifying equipment starting instruction;
the determining the purification indexes in the current experimental area and the purification equipment starting instructions corresponding to the purification indexes according to the incidence relation between the purification equipment starting instructions and the experimental state data to be processed and the incidence relation between the plurality of purification strategies and the experimental state data comprises the following steps:
determining the purification index in the current experimental region based on experimental state data in the current experimental target association relationship;
receiving the target purification equipment starting instruction with the purification sign from the local terminal, the temporary server or the cloud cluster based on the purification sign of the experimental state data in the current experimental target incidence relation, and taking the received target purification equipment starting instruction as a purification equipment starting instruction corresponding to the purification index;
the incidence relation between the plurality of purification strategies and the experimental state data comprises the incidence relation between a first purification strategy and the experimental state data; the incidence relation between the first purification strategy and the experimental state data comprises a plurality of data quantity of second experimental state parameters;
the receiving, based on the second experimental state parameter included in the association relationship between each purification strategy and the experimental state data, the second experimental contamination state index of the experimental state data in the association relationship between each purification strategy and the experimental state data, respectively, includes:
receiving an experiment state pollution index corresponding to each second experiment state parameter in a plurality of second experiment state parameters included in the incidence relation between the first purification strategy and the experiment state data;
receiving second average pollution indexes corresponding to the plurality of second experiment state parameters based on the experiment state pollution indexes corresponding to each second experiment state parameter;
taking the second average pollution index as a second experimental pollution state index of the experimental state data in the incidence relation between the first purification strategy and the experimental state data;
the number of the experimental state data to be processed is multiple;
the method further comprises the following steps:
acquiring the incidence relation between the purification strategy and the experimental state data, where the experimental purification adaptability degree of the experimental state data is the maximum, between the purification strategy and the experimental state data, under the condition that the number of the incidence relations between the target purification strategy and the experimental state data is smaller than or equal to a first preset number threshold;
respectively taking the incidence relation between the purification strategy of the experimental state data with the maximum experimental purification adaptability between the experimental state data and each to-be-processed experimental state data and the experimental state data as the to-be-determined incidence relation corresponding to each to-be-processed experimental state data;
taking the purification equipment starting instruction maintained by the purification strategy group in the undetermined incidence relation corresponding to each to-be-processed experimental state data as the undetermined purification equipment starting instruction corresponding to each to-be-processed experimental state data respectively;
determining a plurality of control instructions corresponding to the control instruction types of the equipment to be purified based on the starting instruction of the equipment to be purified corresponding to each experimental state data to be processed;
receiving a first instruction weight of the control instructions in a purification equipment starting instruction maintained by a purification strategy group of the incidence relation between the purification strategies and the experimental state data;
determining a first target control instruction of which the type of the control instruction of the equipment to be purified is limited by the experimental state data to be processed based on the first instruction weight;
taking the control instruction types of the to-be-purified equipment respectively provided with the first target control instructions corresponding to the experimental state data to be processed as purifying equipment starting instructions matched with the experimental state data to be processed; the second instruction weight of the control instructions in the purifying equipment starting instruction matched with each piece of to-be-treated experimental state data is equal to the first instruction weight;
the method further comprises the following steps:
under the condition that the number of the incidence relations between the target purification strategy and the experimental state data is larger than a second preset number threshold, inquiring the trigger number of a plurality of control instructions of the control instruction type of the equipment to be purified in the purification equipment starting instruction contained in the purification strategy of the incidence relation between the target purification strategy and the experimental state data; the control instructions are determined based on purification equipment starting instructions maintained by a purification strategy group in the incidence relation between the target purification strategy and the experimental state data;
determining a second target control instruction of which the type of the control instruction of the equipment to be purified is limited by the experimental state data to be processed based on the experimental purification adaptation degree between the experimental state data to be processed and the incidence relation between the target purification strategy and the experimental state data and the triggering quantity from the plurality of control instructions;
taking the control instruction type of the equipment to be purified with the second target control instruction as a purification equipment starting instruction matched with the experimental state data to be processed;
the receiving, from the local terminal, the temporary server, or the cloud cluster, the target decontamination apparatus start instruction with the decontamination symbol based on the decontamination symbol included in the experimental state data in the current experimental target association relationship includes:
obtaining a first instruction receiving instruction for receiving the target purification equipment starting instruction in the local terminal based on the purification signs of the experimental state data in the current experimental target association relationship, and obtaining a second instruction receiving instruction for receiving the target purification equipment starting instruction in the temporary server based on the first instruction receiving instruction when the target purification equipment starting instruction is not received from the local terminal based on the first instruction receiving instruction;
when the target purifying equipment starting instruction is not received from the temporary server based on the second instruction receiving instruction, obtaining a third instruction receiving instruction for receiving the target purifying equipment starting instruction in the cloud cluster based on the second instruction receiving instruction;
receiving the target purifying equipment starting instruction from the cloud cluster based on the third instruction receiving instruction.
2. An air purification control system that animal laboratory used characterized in that includes:
the receiving module is used for receiving the purification strategy group and the experimental state data in the current experimental area;
the correlation module is used for correlating the purification strategy group and the experimental state data in the current experimental region based on the parameter correlation between the purification strategy group and the experimental state data in the current experimental region to obtain the correlation between a plurality of purification strategies and the experimental state data; the experimental state data in the incidence relation between each purification strategy and the experimental state data respectively comprise second experimental state parameters in the current experimental region;
the determining module is used for determining a purifying equipment starting instruction matched with the experimental state data to be processed according to the experimental purification adaptation degree between the experimental state data and the experimental state data to be processed in the incidence relation between the purification strategy and the experimental state data by taking the experimental state data with failed correlation as the experimental state data to be processed; correlating the purification equipment starting instruction matched with the experimental state data to be processed to obtain the incidence relation between the purification equipment starting instruction and the experimental state data to be processed;
the purification module is used for determining purification indexes in the current experimental area and purification equipment starting instructions corresponding to the purification indexes according to the incidence relation between the purification equipment starting instructions and the experimental state data to be processed and the incidence relation between the purification strategies and the experimental state data;
the receiving module is specifically configured to:
receiving a plurality of purification strategies in the current experimental region and a plurality of experimental state parameters in the current experimental region;
receiving purification strategy homogenization coefficients and purification strategy differentiation coefficients among the plurality of purification strategies;
receiving an experiment state parameter homogenization coefficient and an experiment state parameter differentiation coefficient among the plurality of experiment state parameters;
collecting the plurality of purification strategies based on the purification strategy homogenization coefficients and the purification strategy differentiation coefficients to obtain a purification strategy group in the current experimental area;
collecting the plurality of experimental state parameters based on the experimental state parameter homogenization coefficients and the experimental state parameter differentiation coefficients to obtain experimental state data in the current experimental area;
the association module is specifically configured to:
taking the experimental state data in the current experimental area as experimental state data to be detected, and taking the purification strategy group in the current experimental area as a purification strategy group to be detected; the experimental state parameters in the experimental state data to be detected are obtained from the target animal experimental project in the current experimental area;
receiving a purification strategy in the target animal experiment project, and taking a strategy homogenization coefficient between the purification strategy in the target animal experiment project and a purification strategy in the purification strategy group to be detected as the parameter correlation between the experimental state data to be detected and the purification strategy group to be detected;
when the correlation of the parameters is greater than or equal to a correlation threshold value, correlating the to-be-detected experimental state data with the to-be-detected purification strategy group to obtain an incidence relation between the plurality of purification strategies and the experimental state data;
the determining module is specifically configured to:
determining the experiment state data with failed correlation as experiment state data to be processed, and receiving experiment state pollution indexes corresponding to each first experiment state parameter in the plurality of first experiment state parameters;
receiving first average pollution indexes corresponding to the plurality of first experiment state parameters based on the experiment state pollution indexes corresponding to each first experiment state parameter;
taking the first average pollution index as a first experiment pollution state index of the experiment state data to be processed; the first experiment state parameter belongs to the current experiment area;
respectively receiving a second experimental pollution state index of the experimental state data in the incidence relation between each purification strategy and the experimental state data based on a second experimental state parameter included in the incidence relation between each purification strategy and the experimental state data;
receiving a difference grade coefficient between the first experimental pollution state index and a second experimental pollution state index corresponding to the incidence relation between each purification strategy and the experimental state data;
determining experimental purification adaptation degrees between the experimental state data in the incidence relation between each purification strategy and the experimental state data to be processed respectively based on the difference grade coefficient to which the incidence relation between each purification strategy and the experimental state data belongs;
when the number of the incidence relations between the target purification strategies and the experimental state data is within a preset number range, determining a purification equipment starting instruction maintained by a purification strategy group in the incidence relations between the target purification strategies and the experimental state data as a purification equipment starting instruction matched with the experimental state data to be processed, wherein the preset number range is that the number of the incidence relations between the target purification strategies and the experimental state data is larger than a first preset number threshold value and smaller than or equal to a second preset number threshold value;
taking the purification equipment starting instruction maintained by the purification strategy group in the incidence relation between the plurality of purification strategies and the experimental state data as the purification equipment starting instruction maintained by the incidence relation between the plurality of purification strategies and the experimental state data;
taking the incidence relation between the plurality of purification strategies and the experimental state data and the incidence relation between the purification equipment starting instruction and the experimental state data to be processed as the current experimental target incidence relation in the current experimental area;
taking a purifying equipment starting instruction maintained by the current experiment target incidence relation as a target purifying equipment starting instruction;
adding the same purification marks for the target purification equipment starting instruction and the experimental state data in the incidence relation of the current experimental target;
respectively storing the target purifying equipment starting instruction with the purifying mark to a local terminal, a temporary server and a cloud cluster; the read-write efficiency of the target purification equipment starting instruction received from the local terminal is greater than the read-write efficiency of the target purification equipment starting instruction received from the temporary server; the read-write efficiency of the target purification equipment starting instruction received from the temporary server is greater than the read-write efficiency of the target purification equipment starting instruction received from the cloud cluster; the local terminal limits the available storage space of the target purifying equipment starting instruction, and the available storage space is smaller than the available storage space of the target purifying equipment starting instruction limited by the temporary server; the temporary server limits the available storage space of the target purifying equipment starting instruction, and the available storage space is smaller than the available storage space of the cloud cluster limited by the target purifying equipment starting instruction;
the purification module is specifically configured to:
determining the purification index in the current experimental region based on experimental state data in the current experimental target association relationship;
receiving the target purification equipment starting instruction with the purification sign from the local terminal, the temporary server or the cloud cluster based on the purification sign of the experimental state data in the current experimental target incidence relation, and taking the received target purification equipment starting instruction as a purification equipment starting instruction corresponding to the purification index;
the incidence relation between the plurality of purification strategies and the experimental state data comprises the incidence relation between a first purification strategy and the experimental state data; the incidence relation between the first purification strategy and the experimental state data comprises a plurality of data quantity of second experimental state parameters;
the determining module is specifically further configured to:
receiving an experiment state pollution index corresponding to each second experiment state parameter in a plurality of second experiment state parameters included in the incidence relation between the first purification strategy and the experiment state data; receiving second average pollution indexes corresponding to the plurality of second experiment state parameters based on the experiment state pollution indexes corresponding to each second experiment state parameter; taking the second average pollution index as a second experimental pollution state index of the experimental state data in the incidence relation between the first purification strategy and the experimental state data;
the number of the experimental state data to be processed is multiple;
the determining module is specifically further configured to:
acquiring the incidence relation between the purification strategy and the experimental state data, where the experimental purification adaptability degree of the experimental state data is the maximum, between the purification strategy and the experimental state data, under the condition that the number of the incidence relations between the target purification strategy and the experimental state data is smaller than or equal to a first preset number threshold; respectively taking the incidence relation between the purification strategy of the experimental state data with the maximum experimental purification adaptability between the experimental state data and each to-be-processed experimental state data and the experimental state data as the to-be-determined incidence relation corresponding to each to-be-processed experimental state data; taking the purification equipment starting instruction maintained by the purification strategy group in the undetermined incidence relation corresponding to each to-be-processed experimental state data as the undetermined purification equipment starting instruction corresponding to each to-be-processed experimental state data respectively; determining a plurality of control instructions corresponding to the control instruction types of the equipment to be purified based on the starting instruction of the equipment to be purified corresponding to each experimental state data to be processed; receiving a first instruction weight of the control instructions in a purification equipment starting instruction maintained by a purification strategy group of the incidence relation between the purification strategies and the experimental state data; determining a first target control instruction of which the type of the control instruction of the equipment to be purified is limited by the experimental state data to be processed based on the first instruction weight; taking the control instruction types of the to-be-purified equipment respectively provided with the first target control instructions corresponding to the experimental state data to be processed as purifying equipment starting instructions matched with the experimental state data to be processed; the second instruction weight of the control instructions in the purifying equipment starting instruction matched with each piece of to-be-treated experimental state data is equal to the first instruction weight;
the determining module is specifically further configured to:
under the condition that the number of the incidence relations between the target purification strategy and the experimental state data is larger than a second preset number threshold, inquiring the triggering number of a plurality of control instructions of the control instruction type of the equipment to be purified in a purification equipment starting instruction contained in the purification strategy of the incidence relation between the target purification strategy and the experimental state data; the control instructions are determined based on purification equipment starting instructions maintained by a purification strategy group in the incidence relation between the target purification strategy and the experimental state data; determining a second target control instruction of which the type of the control instruction of the equipment to be purified is limited by the experimental state data to be processed based on the experimental purification adaptation degree between the experimental state data to be processed and the incidence relation between the target purification strategy and the experimental state data and the triggering quantity from the plurality of control instructions; taking the control instruction type of the equipment to be purified with the second target control instruction as a purification equipment starting instruction matched with the experimental state data to be processed;
the purification module is specifically further configured to:
obtaining a first instruction receiving instruction for receiving the target purification equipment starting instruction in the local terminal based on the purification signs of the experimental state data in the current experimental target association relationship, and obtaining a second instruction receiving instruction for receiving the target purification equipment starting instruction in the temporary server based on the first instruction receiving instruction when the target purification equipment starting instruction is not received from the local terminal based on the first instruction receiving instruction; when the target purifying equipment starting instruction is not received from the temporary server based on the second instruction receiving instruction, obtaining a third instruction receiving instruction for receiving the target purifying equipment starting instruction in the cloud cluster based on the second instruction receiving instruction; receiving the target purifying equipment starting instruction from the cloud cluster based on the third instruction receiving instruction.
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CN107906684A (en) * 2017-11-08 2018-04-13 蚌埠市瑞风净化设备工程有限责任公司 A kind of air purification method of associate people state
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Denomination of invention: A method and system for air purification control in animal laboratories

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Pledgee: Yuexiu sub branch of Bank of Guangzhou Co.,Ltd.

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