CN113449958B - Intelligent epidemic prevention operation and maintenance management method and system - Google Patents
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Abstract
The invention discloses an intelligent epidemic prevention operation and maintenance management method, which comprises the following steps: s1, monitoring environmental indexes of a target place in real time by the epidemic prevention regulation and control monitoring terminal to generate an environmental log, and uploading the environmental log to a cloud platform intelligent center through network communication; and S2, the cloud platform intelligent center conducts research and judgment analysis on the environment log to make a conventional epidemic prevention path and an emergency epidemic prevention path, and the conventional epidemic prevention path and the emergency epidemic prevention path are synchronously transmitted to the epidemic prevention regulation and control terminal. The invention carries out framing quantification on the environmental log of the target place and carries out environmental regulation and control key frame extraction on the environmental log by utilizing the similarity between adjacent frames, thereby maintaining important environmental indexes in the environmental log and simultaneously reducing the dimension of the environmental log, reducing the data processing capacity of equipment and improving the operation efficiency.
Description
Technical Field
The invention relates to the technical field of epidemic prevention, in particular to an intelligent epidemic prevention operation and maintenance management method and system.
Background
Epidemic prevention refers to a series of measures taken to prevent and control the spread of disease, preventing the spread of epidemic disease. At present, the most effective way to avoid epidemic diseases is prevention, which is to control the infection source to cut off the transmission way and protect susceptible people, i.e. to maintain good environment meeting epidemic prevention standard in the places where people are likely to be dense or exist for a long time.
Patent CN111311018A discloses an infection epidemic situation accurate management and control system, which includes an epidemic situation infection triggering mechanism, a real-time positioning data packet data fuzzification processing technology, an elimination technology of an epidemic situation infection result, a data cluster binding method and a data cluster removing judgment method, a data merging analysis measure when multiple mobile phone users use mobile phones simultaneously, an optimized configuration method of an epidemic situation prevention team and resources, and a dangerous situation ascending and descending mechanism of the epidemic situation prevention.
Although patent CN111311018A can carry out the optimal allocation of resource to epidemic situation prevention and control, still have certain defect, the overall management department that relates to is complicated and huge, need real-time supervision epidemic situation environmental indicator in the implementation process, carry out real-time analysis operation to environmental indicator again and obtain the processing scheme or issue processing instruction, the calculated volume of involving is huge and equipment burden is huge, and environmental indicator is the regularity change at the stable period of epidemic situation, if still monitor and analyze environmental indicator in real time, cause more useless operation, lead to the waste of operational resources also to reduce the treatment effeciency simultaneously.
Disclosure of Invention
The invention aims to provide an intelligent epidemic prevention operation and maintenance management method, which aims to solve the technical problems that in the prior art, the environmental indexes are regularly changed in the epidemic situation stable period, and an environmental regulation and control method for monitoring and analyzing the environmental indexes in real time is still adopted, so that more useless operations are caused, the waste of operation resources is caused, and the processing efficiency is reduced.
In order to solve the technical problems, the invention specifically provides the following technical scheme:
the invention provides an intelligent epidemic prevention operation and maintenance management method, which comprises the following steps:
s1, monitoring environmental indexes of a target place in real time by the epidemic prevention regulation and control monitoring terminal to generate an environmental log, and uploading the environmental log to a cloud platform intelligent center through network communication;
s2, the cloud platform intelligent center conducts research and judgment analysis on the environment log to make a conventional epidemic prevention path and an emergency epidemic prevention path, and the conventional epidemic prevention path and the emergency epidemic prevention path are synchronously transmitted to an epidemic prevention regulation and control terminal;
and step S3, the epidemic prevention regulation and control terminal executes epidemic prevention regulation and control on the target site according to the conventional epidemic prevention path and the emergency epidemic prevention path so as to maintain the environmental index within the epidemic prevention standard range.
In a preferred embodiment of the present invention, in step S1, the epidemic prevention monitoring terminal includes a group of monitoring assemblies installed in a target site, and the environment log is a set of continuous environment indexes linked in a periodic time sequence.
As a preferred embodiment of the present invention, in step S2, the cloud platform smart center performs study and analysis on the environmental log to make a specific method of a conventional epidemic prevention path:
performing framing quantization on the environment log to generate a plurality of continuous and independent environment regulation and control frames, and performing node quantization on all the environment regulation and control frames to obtain environment regulation and control key frames;
and sequentially formulating matched environment conventional regulation and control node schemes for each environment regulation and control key frame, and performing deep linking on each environment conventional regulation and control node scheme according to the time sequence of the environment regulation and control key frames to generate a conventional epidemic prevention path.
As a preferred scheme of the present invention, a specific method for obtaining an environmental regulation key frame by performing node quantization on all the environmental regulation frames includes:
sequentially calculating the similarity between adjacent environment regulation and control frames to form a similarity node data chain, wherein the calculation formula of the similarity is as follows:
wherein X is a set of environment regulation frames, Xi，xjFor the ith, j environmental regulation frame, p (x)i,xj) Is xiAnd xjIs given by the joint probability distribution function of p (x)i) And p (x)j) Are each xiAnd xjThe edge probability distribution function of (2);
selecting all similarity jumping nodes on the similarity node data chain, and selecting environment regulation and control frames at two ends of all the similarity jumping nodes to be collected to form an environment regulation and control key frame;
the similarity jumping node refers to a similarity node with the numerical difference value of adjacent similarity nodes on the similarity node data chain exceeding a specified threshold value.
As a preferred embodiment of the present invention, the specific method for making the environment control node plan includes:
acquiring the environmental indexes of the environmental regulation and control key frames, and comparing the environmental indexes of the environmental regulation and control key frames with the epidemic prevention standard range to screen out all environmental overflow indexes which exceed the epidemic prevention standard range;
and formulating a plurality of conventional epidemic prevention instructions for adjusting all the environmental overflow indexes to be restored to the epidemic prevention standard range based on the environmental overflow indexes, and summarizing all the conventional epidemic prevention instructions to form an environmental conventional regulation and control node scheme.
As a preferable scheme of the present invention, in step S2, the specific method for the cloud platform smart center to establish the emergency epidemic prevention path includes:
sequentially formulating a matched environment emergency regulation and control continuous scheme by taking the environment regulation and control frame positioned at the head end of the regulation and control log as a starting point to generate an emergency epidemic prevention path;
the continuous scheme for environmental emergency regulation comprises a group of emergency epidemic prevention instructions which are continuously waiting to be triggered.
As a preferable scheme of the invention, the emergency epidemic prevention path and the conventional epidemic prevention path are in a parallel structure.
As a preferred aspect of the present invention, the epidemic prevention control terminal includes a group of control assemblies disposed in a target site, and the specific method for the epidemic prevention control terminal to perform epidemic prevention control on the target site includes:
the epidemic prevention regulation and control terminal executes a conventional epidemic prevention instruction on the target place according to a conventional epidemic prevention path and executes an emergency epidemic prevention instruction of the emergency epidemic prevention path in parallel;
if the conventional epidemic prevention instruction reaches the execution duration and the environmental overflow index exists, the epidemic prevention regulation and control terminal is switched to the emergency epidemic prevention path to trigger the emergency epidemic prevention instruction;
if the conventional epidemic prevention instruction does not reach the execution duration or the environmental overflow index does not exist, the epidemic prevention regulation and control terminal maintains the conventional epidemic prevention path to execute the conventional epidemic prevention instruction.
As a preferred scheme of the invention, the conventional epidemic prevention path and the environmental log are updated regularly in a consistent way.
The invention also provides a management system applied to the intelligent epidemic prevention operation and maintenance management method, which comprises an epidemic prevention regulation and control monitoring terminal, a cloud platform intelligent center and an epidemic prevention regulation and control terminal;
the epidemic prevention monitoring terminal is used for monitoring the environmental indexes of the target place in real time to generate an environmental log and uploading the environmental log to the cloud platform intelligent center through network communication;
the cloud platform intelligent center is in communication connection with the epidemic prevention regulation and control terminal and is used for studying, judging and analyzing the environmental logs to make a conventional epidemic prevention path and an emergency epidemic prevention path and synchronously transmitting the conventional epidemic prevention path and the emergency epidemic prevention path to the epidemic prevention regulation and control terminal;
and the epidemic prevention regulation and control terminal is in communication connection with the cloud platform intelligent center and is used for executing epidemic prevention regulation and control on a target place according to a conventional epidemic prevention path and an emergency epidemic prevention path so as to maintain the environmental index within an epidemic prevention standard range.
Compared with the prior art, the invention has the following beneficial effects:
the invention carries out frame quantization on the environmental log of a target place and carries out environmental regulation and control key frame extraction on the environmental log by utilizing the similarity between adjacent frames, thereby maintaining important environmental indexes in the environmental log, reducing the dimension of the environmental log, reducing the data processing capacity of equipment and improving the operation efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a block diagram of an intelligent epidemic prevention operation and maintenance management system according to an embodiment of the present invention;
FIG. 2 is a flowchart of an intelligent epidemic prevention operation and maintenance management method according to an embodiment of the present invention;
fig. 3 is a flowchart of building an environment regulation key frame according to an embodiment of the present invention.
The reference numerals in fig. 1-3 denote the following, respectively:
1-epidemic prevention monitoring terminal; 2-cloud platform intelligent center; 3-epidemic prevention regulation and control department terminal; 4-environmental regulation frame; 5-similarity node data link; 6-environmental regulation key frame.
Detailed Description
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, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-3, the present invention provides an intelligent epidemic prevention operation and maintenance management method, which comprises the following steps:
s1, monitoring environmental indexes of a target place in real time by the epidemic prevention regulation and control monitoring terminal to generate an environmental log, and uploading the environmental log to a cloud platform intelligent center through network communication;
in step S1, the epidemic prevention monitoring terminal includes a group of monitoring assemblies installed in the target site, and the environmental log is a set of continuous environmental indicators linked in a periodic time sequence.
The epidemic prevention operation in the target place needs to be controlled, the environmental index of the target place needs to be controlled, and the epidemic prevention regulation and control are carried out aiming at the environmental index, so the target place needs to be monitored in real time to obtain the continuously monitored environmental index, namely the environmental log, the environmental index of the target place in the stable epidemic situation period under the normal condition is regularly and periodically changed, the environmental index of the target place in the stable epidemic situation period has a long-time stable similar state, for example, the personnel behavior track of the office place is basically stable in each working day, the temperature, the humidity, the carbon dioxide concentration and the bacterial colony number of the office place are regularly and periodically changed in each working day, so the conventional epidemic prevention regulation and control of the working day can be carried out only by learning the regular characteristic of each working day, each working day is a period, and each working day has a similar and stable time period, for example, during working hours and noon break hours, similarity dimension reduction can be performed on environmental indexes in a time period in a stable similar state, namely only epidemic prevention instruction formulation and epidemic prevention regulation and control are performed on the working hours, so that the operation data volume can be reduced to a great extent, and the key environmental indexes are reserved.
As shown in fig. 3, in step S2, the cloud platform smart center performs analysis on the environmental log to determine a specific method of a conventional epidemic prevention path:
performing framing quantization on the environment log to generate a plurality of continuous and independent environment regulation and control frames, and performing node quantization on all the environment regulation and control frames to obtain environment regulation and control key frames;
and sequentially formulating a matched environment conventional regulation and control node scheme for each environment regulation and control key frame, and performing deep linking on each environment conventional regulation and control node scheme according to the time sequence of the environment regulation and control key frames to generate a conventional epidemic prevention path.
The specific method for obtaining the environmental regulation key frame by carrying out node quantization on all the environmental regulation frames comprises the following steps:
sequentially calculating the similarity between adjacent environment regulation and control frames to form a similarity node data chain, wherein the calculation formula of the similarity is as follows:
wherein X is a set of environment regulation frames, Xi，xjFor the ith, j environmental regulation frame, p (x)i,xj) Is xiAnd xjIs given by the joint probability distribution function of p (x)i) And p (x)j) Are each xiAnd xjThe edge probability distribution function of (1);
selecting all similarity jumping nodes on the similarity node data chain, and selecting environment regulation and control frames at two ends of all the similarity jumping nodes to be collected to form an environment regulation and control key frame;
the similarity jumping node refers to a similarity node with the numerical difference value of adjacent similarity nodes on the similarity node data chain exceeding a specified threshold value.
The similarity represents the similarity between adjacent environment control frames, the higher the numerical value, the higher the similarity, namely the dimension reduction of the adjacent environment control frames can be represented by any environment control frame, so that the similarity between the adjacent environment control frames forms a similarity node data chain, the adjacent environment control frames corresponding to all data nodes on a gentle curve in the similarity node data chain have consistent similarity, the same control instruction can be executed, a certain environment control frame corresponding to all data nodes on the gentle curve can be randomly selected for representing to finish the dimension reduction of the environment control frame which is changeable, therefore, only one environment control frame is needed to be analyzed and formulated for the control instruction, the adjacent environment control frames corresponding to the similarity jump node on the similarity node data chain have inconsistent similarity, namely the environment index in the environment of the adjacent environment control frame changes violently, the target site is also a node for the change of epidemic prevention regulation and control instructions of the real target site, so that adjacent environment regulation and control frames are reserved as environment regulation and control key frames, all the environment regulation and control key frames are analyzed to formulate a conventional epidemic prevention path, the conventional epidemic prevention use of the target site in the regular change during the stable epidemic situation period can be met, and the redundant formulation of epidemic prevention instructions is deleted.
The specific method for formulating the environment regulation node scheme comprises the following steps:
acquiring the environmental indexes of the environmental regulation and control key frames, and comparing the environmental indexes of the environmental regulation and control key frames with the epidemic prevention standard range to screen out all environmental overflow indexes which exceed the epidemic prevention standard range;
and formulating a plurality of conventional epidemic prevention instructions for adjusting all the environmental overflow indexes to recover to the epidemic prevention standard range based on the environmental overflow indexes, and summarizing all the conventional epidemic prevention instructions to form an environmental conventional regulation and control node scheme.
S2, the cloud platform intelligent center conducts research and judgment analysis on the environment log to make a conventional epidemic prevention path and an emergency epidemic prevention path, and the conventional epidemic prevention path and the emergency epidemic prevention path are synchronously transmitted to an epidemic prevention regulation and control terminal;
in step S2, the specific method for the cloud platform smart center to establish the emergency epidemic prevention path includes:
sequentially formulating a matched environment emergency regulation and control continuous scheme by taking an environment regulation and control frame at the head end of the regulation and control log as a starting point to generate an emergency epidemic prevention path;
the environmental emergency regulation continuous scheme comprises a group of emergency epidemic prevention instructions which are continuously waiting to be triggered.
The waiting trigger can enable the emergency epidemic prevention instruction to be in a dormant state to be awakened, and once the emergency epidemic prevention instruction is awakened when an emergency epidemic prevention situation occurs, the emergency epidemic prevention instruction is executed and is complementary with a conventional epidemic prevention instruction.
The emergency epidemic prevention path and the conventional epidemic prevention path are in a parallel structure.
And step S3, the epidemic prevention regulation and control terminal executes epidemic prevention regulation and control on the target site according to the conventional epidemic prevention path and the emergency epidemic prevention path so as to maintain the environmental index within the epidemic prevention standard range.
The epidemic prevention regulation and control terminal comprises a group of regulation and control assemblies arranged in a target place, and the specific method for executing epidemic prevention regulation and control on the target place by the epidemic prevention regulation and control terminal comprises the following steps:
the epidemic prevention regulation and control terminal executes a conventional epidemic prevention instruction to the target place according to the conventional epidemic prevention path and executes an emergency epidemic prevention instruction of the emergency epidemic prevention path in parallel;
if the conventional epidemic prevention instruction reaches the execution duration and the environmental overflow index exists, the epidemic prevention regulation and control terminal is switched to the emergency epidemic prevention path to trigger the emergency epidemic prevention instruction;
if the conventional epidemic prevention instruction does not reach the execution duration or the environmental overflow index does not exist, the epidemic prevention regulation and control terminal maintains the conventional epidemic prevention path to execute the conventional epidemic prevention instruction.
Regular epidemic prevention paths and environment logs are updated regularly and consistently.
The summary duration of the environmental log may be one day, one week or other duration of order depending on the actual usage scenario.
The cloud platform smart center appoints a conventional epidemic prevention path by the updated environment log regularly, so that the change of the environment state caused by the conditions of personnel movement, decoration and the like can be better met, and the regular update can be close to the real use condition of the office environment.
The conventional epidemic prevention path can be used for satisfying the conventional epidemic prevention of the target site which regularly changes during the stable epidemic situation, and once the conventional epidemic prevention of the target site is difficult to meet the regulation and control of environmental indexes, the conventional epidemic prevention needs to be switched to emergency epidemic prevention to deal with the epidemic prevention emergency.
By way of example of office locations, the office locations 8:00-12:00 are office hours in the morning, 12:00-1:30 are office hours in the afternoon, and 1:30-18:00 are office hours in the afternoon; 18:00-8:00 is the time of duty-off, 8:00-12:00, 12:00-1:30, 1:30-18:00 and 18:00-8:00 are stable time periods, the stable time periods have consistent epidemic prevention instructions, and environmental index changes appear when the stable time periods are crossed, so that the epidemic prevention instruction changes appear, the stable time periods are divided by people, the rough epidemic prevention regulation and control accuracy is low by virtue of the human experience, the epidemic prevention index changes in the environmental logs can be intelligently learned by carrying out frame-dividing quantization on the environmental logs by utilizing the similarity, and the established epidemic prevention path has higher precision and is more effective.
In the above unexpected emergency, if a certain patient with fever is found in any time period in an office, the conventional epidemic prevention path is switched to an emergency epidemic prevention path, such as emergency epidemic prevention instructions for evacuating people, sterilizing, disinfecting, and the like.
As shown in fig. 2, based on the intelligent epidemic prevention operation and maintenance management method, the invention provides a management system, which comprises an epidemic prevention regulation and control monitoring terminal, a cloud platform intelligent center and an epidemic prevention regulation and control terminal;
the epidemic prevention monitoring terminal is used for monitoring the environmental indexes of the target place in real time to generate an environmental log and uploading the environmental log to the cloud platform intelligent center through network communication;
the cloud platform intelligent center is in communication connection with the epidemic prevention regulation and control terminal and is used for studying, judging and analyzing the environmental logs to make a conventional epidemic prevention path and an emergency epidemic prevention path and synchronously transmitting the conventional epidemic prevention path and the emergency epidemic prevention path to the epidemic prevention regulation and control terminal;
and the epidemic prevention regulation and control terminal is in communication connection with the cloud platform intelligent center and is used for executing epidemic prevention regulation and control on a target place according to a conventional epidemic prevention path and an emergency epidemic prevention path so as to maintain the environmental index within an epidemic prevention standard range.
The epidemic prevention monitoring terminal comprises a plurality of detection sensor units for monitoring environmental indexes, an adjusting device unit which is in one-to-one correspondence with the detection sensors and is used for adjusting the environmental indexes, and a memory unit for storing the regulation logs and the environmental indexes.
Wherein, the detection sensor includes but not limited to temperature sensor, humidity transducer, carbon dioxide concentration sensor, colony concentration sensor, and the adjusting device corresponds to air conditioner, humidifier, oxygenerator, disinfection sprinkler or other parts that have the same function.
The invention carries out frame quantization on the environmental log of a target place and carries out environmental regulation and control key frame extraction on the environmental log by utilizing the similarity between adjacent frames, thereby maintaining important environmental indexes in the environmental log, reducing the dimension of the environmental log, reducing the data processing capacity of equipment and improving the operation efficiency.
The above embodiments are only exemplary embodiments of the present application, and are not intended to limit the present application, and the protection scope of the present application is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present application and such modifications and equivalents should also be considered to be within the scope of the present application.
Claims (6)
1. An intelligent epidemic prevention operation and maintenance management method is characterized in that: the method comprises the following steps:
s1, monitoring environmental indexes of a target place in real time by the epidemic prevention regulation and control monitoring terminal to generate an environmental log, and uploading the environmental log to a cloud platform intelligent center through network communication;
step S2, carrying out study and analysis on the environmental log by the cloud platform smart center to formulate a conventional epidemic prevention path and an emergency epidemic prevention path, and synchronously transmitting the conventional epidemic prevention path and the emergency epidemic prevention path to an epidemic prevention regulation and control terminal, wherein the cloud platform smart center carries out study and analysis on the environmental log to formulate a specific method of the conventional epidemic prevention path:
performing framing quantization on the environment log to generate a plurality of continuous and independent environment regulation and control frames, and performing node quantization on all the environment regulation and control frames to obtain environment regulation and control key frames;
sequentially formulating a matched environment conventional regulation and control node scheme for each environment regulation and control key frame, and performing deep linking on each environment conventional regulation and control node scheme according to the time sequence of the environment regulation and control key frames to generate a conventional epidemic prevention path;
the specific method for obtaining the environmental regulation key frame by performing node quantization on all the environmental regulation frames comprises the following steps:
sequentially calculating the similarity between adjacent environment regulation and control frames to form a similarity node data chain, wherein the calculation formula of the similarity is as follows:
wherein X is a set of environment regulation frames, Xi，xjFor the ith, j environmental regulation frame, p (x)i,xj) Is xiAnd xjIs given by the joint probability distribution function of p (x)i) And p (x)j) Are each xiAnd xjThe edge probability distribution function of (1);
selecting all similarity jumping nodes on the similarity node data chain, and selecting environment regulation and control frames at two ends of all the similarity jumping nodes to be collected to form an environment regulation and control key frame;
the similarity jumping node refers to a similarity node with the numerical difference value of adjacent similarity nodes on the similarity node data chain exceeding a specified threshold value;
the specific method for formulating the environment regulation node scheme comprises the following steps:
acquiring the environmental indexes of the environmental regulation and control key frames, and comparing the environmental indexes of the environmental regulation and control key frames with the epidemic prevention standard range to screen out all environmental overflow indexes which exceed the epidemic prevention standard range;
formulating a plurality of conventional epidemic prevention instructions for adjusting all the environmental overflow indexes to be restored to the epidemic prevention standard range based on the environmental overflow indexes, and summarizing all the conventional epidemic prevention instructions to form an environmental conventional regulation and control node scheme;
and step S3, the epidemic prevention regulation and control terminal executes epidemic prevention regulation and control on the target site according to the conventional epidemic prevention path and the emergency epidemic prevention path so as to maintain the environmental index within the epidemic prevention standard range.
2. The intelligent epidemic prevention operation and maintenance management method according to claim 1, wherein: in step S1, the epidemic prevention regulation and control monitoring terminal includes a group of monitoring assemblies installed in a target site, and the environmental log is a set of continuous environmental indicators linked in a periodic time sequence.
3. The intelligent epidemic prevention operation and maintenance management method according to claim 1, wherein: in step S2, the specific method for the cloud platform smart center to establish the emergency epidemic prevention path includes:
sequentially formulating a matched environment emergency regulation and control continuous scheme by taking the environment regulation and control frame at the head end of the regulation and control log as a starting point to generate an emergency epidemic prevention path;
the continuous scheme for environmental emergency regulation comprises a group of emergency epidemic prevention instructions which are continuously waiting to be triggered.
4. The intelligent epidemic prevention operation and maintenance management method according to claim 3, wherein: the emergency epidemic prevention path and the conventional epidemic prevention path are in a parallel structure.
5. The intelligent epidemic prevention operation and maintenance management method according to claim 4, wherein: the specific method for the epidemic prevention regulation and control terminal to execute the epidemic prevention regulation and control on the target place comprises the following steps:
the epidemic prevention regulation and control terminal executes a conventional epidemic prevention instruction on the target place according to a conventional epidemic prevention path and executes an emergency epidemic prevention instruction of the emergency epidemic prevention path in parallel;
if the conventional epidemic prevention instruction reaches the execution duration and the environmental overflow index exists, the epidemic prevention regulation and control terminal is switched to the emergency epidemic prevention path to trigger the emergency epidemic prevention instruction;
if the conventional epidemic prevention instruction does not reach the execution duration or the environmental overflow index does not exist, the epidemic prevention regulation and control terminal maintains the conventional epidemic prevention path to execute the conventional epidemic prevention instruction.
6. The intelligent epidemic prevention operation and maintenance management method of claim 5, wherein the regular epidemic prevention path is updated regularly in accordance with the environmental log.
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Inventor after: Liu Yuanliang Inventor after: Chen Yan Inventor after: Gao Xiaozhou Inventor after: Lu Wei Inventor after: Guo Jianfei Inventor after: Dong Zhenting Inventor before: Liu Yuanliang Inventor before: Lu Wei Inventor before: Guo Jianfei Inventor before: Dong Zhenting |