CN115034136A - Environment monitoring method, system, terminal equipment and storage medium - Google Patents
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- 229910002091 carbon monoxide Inorganic materials 0.000 description 6
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Abstract
The application relates to the technical field of environmental protection, in particular to an environmental monitoring method, an environmental monitoring system, a terminal device and a storage medium, wherein the method comprises the following steps: acquiring gas data; calculating the gas data according to a first preset algorithm to obtain a first calculation result; analyzing the first operation result and the actual environment condition to obtain an analysis result; training the first preset algorithm according to an abnormal analysis result in the analysis result and the actual environment condition, and calculating the gas data again according to the trained first preset algorithm; and calculating the first operation result which is in line with the reality according to a second preset algorithm to obtain a second operation result as a monitoring result. The environment monitoring method, the environment monitoring system, the terminal device and the storage medium have the effect of improving the accuracy of the gas monitoring result in the environment.
Description
Technical Field
The present application relates to the field of environmental protection technologies, and in particular, to an environment monitoring method, an environment monitoring system, a terminal device, and a storage medium.
Background
The environmental monitoring is the basis of scientific environmental management and environmental law enforcement supervision, and is essential basic work for environmental protection. The core objective of environment monitoring is to provide data of the current situation and the change trend of the environmental quality, so that the environmental quality is judged according to the data, the current main environmental problems are evaluated, and the environment management service is provided.
At present, when monitoring gas in an environment, a traditional monitoring method is to calculate and analyze collected gas data through a vector machine regression algorithm and a clustering algorithm, and meanwhile, realize calibration by adopting a simulated field environment. In the process of analyzing the gas on site, gas at different positions is collected through various devices, collected gas data are transmitted to a public network data server through GPRS remote data to be processed, and gas concentration information is obtained and is distributed to terminal devices.
In view of the above-mentioned related technologies, the inventor believes that the collected gas data all needs to be transmitted back to the public network data server for processing, and in general, the public network data server can calculate the gas data through a set of fixed algorithms, and then directly obtain a corresponding monitoring result, and the obtained monitoring result is not representative and has low accuracy.
Disclosure of Invention
In order to improve the accuracy of a gas monitoring result in an environment, the application provides an environment monitoring method, an environment monitoring system, a terminal device and a storage medium.
In a first aspect, the present application provides an environmental monitoring method, which adopts the following technical scheme:
an environmental monitoring method, comprising the steps of:
acquiring gas data;
calculating the gas data according to a first preset algorithm to obtain a first calculation result;
analyzing the first operation result and the actual environment condition to obtain an analysis result;
training the first preset algorithm according to an abnormal analysis result in the analysis result and the actual environment condition, and calculating the gas data again according to the trained first preset algorithm;
and calculating the first operation result which is in line with the reality according to a second preset algorithm to obtain a second operation result as a monitoring result.
By adopting the technical scheme, the gas data is operated according to the first preset algorithm, and then the corresponding first operation result is obtained, compared with the prior art, the obtained first operation result and the actual environment condition are contrastively analyzed, the first operation result can be analyzed and checked through the contrastive analysis, whether the first operation result accords with the objective reality or not is checked, if the abnormal analysis result is obtained, the system automatically generates a training instruction, the first preset algorithm is trained according to the training instruction, then the collected gas data is operated again according to the trained first preset algorithm until the obtained first operation result accords with the actual environment condition, the judgment of the algorithm is more accordant with the objective reality, and finally the first operation result is operated according to the second preset algorithm, and the corresponding second operation result is obtained as the monitoring result. The application provides an environment monitoring method has the effect of improving the accuracy of gas monitoring results in the environment.
Optionally, the actual environment condition includes an actual environment level, and analyzing the first operation result and the actual environment condition to obtain an analysis result includes the following steps;
judging whether the environment monitoring grade accords with the actual environment grade;
and if the environment monitoring grade does not accord with the actual environment grade, obtaining the grade difference between the environment monitoring grade and the actual environment grade, and obtaining an abnormal analysis result as an analysis result based on the grade difference.
By adopting the technical scheme, the environment monitoring grade obtained by operation is compared and analyzed with the actual environment grade, so that the accuracy of environment monitoring can be improved.
Optionally, the operation on the gas data according to a first preset algorithm to obtain a first operation result includes the following steps:
obtaining a judgment model according to the first preset algorithm;
and calculating the gas data according to the judgment model to obtain a monitoring environment grade as a first calculation result.
By adopting the technical scheme, the collected gas can be further judged according to the judgment model to meet the environmental monitoring grade.
Optionally, the training the first preset algorithm according to the abnormal analysis result in the analysis result and the actual environment condition, and performing the operation on the gas data again according to the trained first preset algorithm includes the following steps:
acquiring a training rule according to the grade difference;
generating the training instruction according to the training rule;
training the judgment model according to the training instruction to generate a correction judgment model, and calculating the gas data again according to the correction judgment model.
By adopting the technical scheme, the judgment model in the abnormal analysis result is trained, and the correction judgment model which is more in line with the actual situation is generated, so that the accuracy of environment monitoring is improved, and the monitoring result has higher real-time performance.
Optionally, training the judgment model according to the training instruction to generate a modified judgment model, and then:
generating a proofreading rule according to the training rule;
and checking the correction judgment model according to the checking rule.
By adopting the technical scheme, the corrected and judged model after domestication is corrected again, so that the domestication efficiency is improved.
Optionally, after the operation is performed on the first operation result which is in line with the reality according to a second preset algorithm, and a second operation result is obtained as a monitoring result, the method includes the following steps:
obtaining the gas type according to the second operation result;
establishing a current data list according to the gas type;
and importing and storing the gas data into the current data list according to the gas type.
By adopting the technical scheme, the gas data to be analyzed can be called at any time according to the data list.
In a second aspect, the present application further provides an environmental monitoring system, which adopts the following technical scheme:
an environmental monitoring system, comprising:
the acquisition module is used for acquiring gas data;
the primary operation module is used for operating the gas data according to a first preset algorithm to obtain a first operation result;
the analysis module is used for analyzing the first operation result and the actual environment condition to obtain an analysis result, training the first preset algorithm according to an abnormal analysis result in the analysis result and the actual environment condition, and re-operating the gas data according to the trained first preset algorithm;
and the secondary operation module is used for operating the first operation result which accords with the reality according to a second preset algorithm, and obtaining a second operation result as a monitoring result.
By adopting the technical scheme, the gas data in the environment is acquired according to the acquisition module, the acquisition module sends the gas data to the primary operation module, the primary operation module operates the gas data according to a first preset algorithm to further obtain a corresponding first operation result, compared with the prior art, the primary operation module sends the first operation result to the analysis module, the analysis module compares the first operation result with the actual environment condition for analysis and check, whether the first operation result accords with the objective reality or not can be analyzed and checked through the comparison and check, if the abnormal analysis result is obtained, the system automatically generates a training instruction, trains the first preset algorithm according to the training instruction, then operates the acquired gas data again according to the trained first preset algorithm until the acquired first operation result accords with the actual environment condition, and then the judgment of the algorithm is more in line with objective reality, the analysis module sends a first operation result in line with the actual environment condition to the secondary operation module, and the secondary operation module operates the first operation result according to a second preset algorithm to obtain a second operation result as a monitoring result. The application provides an environmental monitoring system has the effect that improves gaseous monitoring data accuracy in the environment.
Optionally, the analysis module includes:
a generating unit, configured to generate a training rule according to the difference, and generate the training instruction according to the training rule;
and the training unit is used for training the judgment model according to the training instruction, generating a correction judgment model and calculating the gas data again according to the correction judgment model.
By adopting the technical scheme, the generation module generates a corresponding training instruction according to the training rule, the generation module sends the training instruction to the training unit, and the training unit trains the judgment model according to the training instruction and operates the gas data again.
In a third aspect, the present application provides a terminal device, which adopts the following technical solution:
a terminal device comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein when the processor loads and executes the computer program, the environment monitoring method is adopted.
By adopting the technical scheme, the computer program is generated by the environment monitoring method and stored in the memory so as to be loaded and executed by the processor, so that the terminal equipment is manufactured according to the memory and the processor, and the use is convenient.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, in which a computer program is stored, which, when loaded and executed by a processor, implements an environmental monitoring method as described above.
By adopting the technical scheme, the environment monitoring method generates the computer program and stores the computer program in the computer readable storage medium so as to be loaded and executed by the processor, and the computer program can be conveniently read and stored through the computer readable storage medium.
To sum up, the application comprises the following beneficial technical effects: the method comprises the steps of calculating gas data according to a first preset algorithm to obtain a corresponding first calculation result, comparing and analyzing the obtained first calculation result with an actual environment condition, analyzing and checking the first calculation result through the comparison and analysis to check whether the first calculation result accords with objective reality or not, automatically generating a training instruction by a system if an abnormal analysis result is obtained, training the first preset algorithm according to the training instruction, then calculating the collected gas data again according to the trained first preset algorithm until the obtained first calculation result accords with the actual environment condition, further enabling the judgment of the algorithm to be more accordant with objective reality, and finally calculating the first calculation result according to a second preset algorithm to obtain a corresponding second calculation result as a monitoring result. The environment monitoring method, the environment monitoring system, the terminal device and the storage medium have the effect of improving the accuracy of gas monitoring data in the environment.
Drawings
Fig. 1 is a schematic overall flow chart of an environmental monitoring method according to the present application.
Fig. 2 is a schematic flowchart illustrating steps S201 to S202 in the environmental monitoring method according to the present application.
Fig. 3 is a schematic flowchart illustrating steps S301 to S302 in the environmental monitoring method according to the present application.
Fig. 4 is a schematic flowchart illustrating steps S401 to S403 in the environmental monitoring method according to the present application.
Fig. 5 is a schematic flowchart illustrating steps S501 to S502 in the environmental monitoring method according to the present application.
Fig. 6 is a schematic flowchart illustrating steps S601 to S603 in the environmental monitoring method according to the present application.
Fig. 7 is a schematic block diagram of an environment monitoring system according to the present application.
Description of reference numerals:
1. an acquisition module; 2. a first-level operation module; 3. an analysis module; 31. a generating unit; 32. a training unit; 4. and a secondary operation module.
Detailed Description
The present application is described in further detail below with reference to figures 1-7.
The embodiment of the application discloses an environment monitoring method, which comprises the following steps with reference to fig. 1:
s101, acquiring gas data;
s102, calculating gas data according to a first preset algorithm to obtain a first calculation result;
s103, analyzing the first operation result and the actual environment condition to obtain an analysis result;
s104, training a first preset algorithm according to an abnormal analysis result and an actual environment condition in the analysis result, and calculating gas data again according to the trained first preset algorithm;
and S105, calculating the first operation result which accords with the reality according to a second preset algorithm, and obtaining a second operation result as a monitoring result.
In practical applications of step S101, there are two general methods for collecting a gas sample in the atmosphere: one is to make a large amount of air pass through a liquid absorbent or a solid adsorbent to enrich low-concentration pollutants in the atmosphere, such as an air extraction method and a filter membrane method. Another type is to use a container to collect air. The average concentration of the pollutants in the atmosphere in the sampling time is measured by adopting the acquisition method; the instantaneous concentration or the average concentration in a short time is measured by adopting the acquisition method of the later, and the sampling mode is determined according to the purpose and the field situation of sampling. Generally, the polluted gas in the air includes nitrogen dioxide, sulfur dioxide, carbon monoxide, volatile organic compounds, and the like.
Step S102, in practical application, performs operation on the acquired gas data according to a first-level logic operation in a first preset algorithm, and determines which environmental monitoring level the first operation result conforms to. The air monitoring class of the environmental monitoring class is classified according to an Air Pollution Index (API). Wherein, the air pollution index is 0-50, which is the first-class standard of the national air quality daily average value, and the air quality is excellent; the air pollution index is 51-100, which is the national air quality daily average value secondary standard, and the air quality is good; the air pollution index of 101-200 is the national third-level standard of the daily average value of the air quality, and the air quality is light pollution; the air pollution index of 201-300 is the national air quality daily average value four-level standard, and the air quality is moderate pollution; the air pollution index of more than 300 is the national day-to-day average value five-grade standard of air quality, and the air quality is severe pollution.
In the actual application of steps S103 to S104, the obtained first operation result is compared with the actual environment condition and analyzed to determine whether the first operation result meets the actual environment condition, and an analysis result is obtained, a corresponding training instruction is generated according to an abnormal analysis result in the analysis result, and the system trains the first preset algorithm according to the training instruction, so that the trained first preset algorithm operates on the gas data again until the obtained first operation result meets the actual environment condition.
Step S105, in actual application, performs secondary operation on the first operation result according to a second preset algorithm, further performs calculation processing on the gas data, and obtains a second operation result as a final monitoring result, thereby improving the accuracy of the first operation result.
Compared with the prior art, the environmental monitoring method provided by this embodiment performs operation on gas data according to a first preset algorithm to obtain a corresponding first operation result, and performs comparative analysis on the obtained first operation result and an actual environmental condition, if an abnormal analysis result is obtained, the system automatically generates a training instruction, trains the first preset algorithm according to the training instruction, then performs operation on the acquired gas data again according to the trained first preset algorithm until the obtained first operation result meets the actual environmental condition, and finally performs operation on the first operation result according to a second preset algorithm to obtain a corresponding second operation result as a monitoring result. Therefore, the method has the effect of improving the accuracy of the gas monitoring result in the environment.
In one implementation manner of this embodiment, as shown in fig. 2, the actual environment condition includes an actual environment level, and step S103 includes the following steps:
s201, judging whether the environment monitoring level accords with the actual environment level;
s202, if the environment monitoring level does not accord with the actual environment level, obtaining the level difference between the environment monitoring level and the actual environment level, and obtaining an abnormal analysis result as an analysis result based on the level difference.
In the actual application of steps S201 to S202, by analyzing and judging the measured environment monitoring level and the actual environment level, it can be known whether the result measured by the judgment model is close to the actual environment condition, and better meets the objective condition. And if the measured environment monitoring level does not accord with the actual environment level, acquiring the level difference between the environment monitoring level and the actual environment level, and acquiring an abnormal analysis result based on the level difference.
The criteria by the actual environmental level can be derived: the air pollution index is 0-50, and the monitoring environment grade is excellent; the air pollution index is 51-100, and the monitored environment grade is good; the air pollution index exceeds 100, and the monitoring environment level is poor. Then obtaining the grade difference between the excellent, good and poor in the judgment rule and the actual environment grade in the judgment model, obtaining the difference threshold value of 50 according to the grade excellent, obtaining the difference threshold value of 50 according to the grade good, obtaining the difference threshold value of 100 according to the grade difference, and then obtaining the abnormal analysis result according to the difference threshold value of the grade difference. The environment monitoring grade measured by the judgment model is compared and analyzed with the actual environment grade, so that the objectivity of environment monitoring is improved.
In one implementation of this embodiment, as shown in fig. 3, step S102 includes the following steps:
s301, obtaining a judgment model according to a first preset algorithm;
s302, calculating the gas data according to the judgment model, and obtaining the monitoring environment grade as a first calculation result.
In practical application, the first-level logic operation and the judgment model are obtained according to a first preset algorithm in steps S201 to S202, the gas data is further operated according to the first-level logic operation to obtain a corresponding gas operation result, and then the judgment model is used for judging which environment monitoring level the gas operation result meets.
The obtained nitrogen dioxide gas concentration is 8.5 mug/m, the sulfur dioxide concentration is 0.5ppm, the carbon monoxide concentration is 650ppm, and the air pollution index obtained through the first-level logical operation is 102. The judgment rule of the judgment model is as follows: the air pollution index is over 200, the output monitoring environment level is poor, the air pollution index is not over 100, the output monitoring environment level is excellent, the air pollution index is at 100-200, and the output monitoring environment level is good. And outputting a first operation result with good monitoring environment grade according to the judgment model. Therefore, the monitoring grade of the gas in the air can be judged more effectively according to the judgment model.
In one implementation of this embodiment, as shown in fig. 4, the actual environment condition includes an actual environment level, and step S104 includes the following steps:
s401, acquiring a training rule according to the grade difference;
s402, generating a training instruction according to a training rule;
and S403, training the judgment model according to the training instruction, generating a correction judgment model, and calculating the gas data again according to the correction judgment model.
In actual application, step S401 to step S403 acquire corresponding training rules according to the difference, the system automatically generates corresponding training instructions, and trains the superior judgment rules in the judgment model according to the training instructions with the superior level difference threshold 50, so that the threshold range with the superior level of the monitoring environment is reduced to 0-50; according to the good judgment rule in the training instruction training judgment model with the difference threshold value 50 with good grade, reducing the threshold value range with good monitoring environment grade to 51-100; and training the poor judgment rule in the judgment model according to the training instruction with the poor difference threshold 50, so that the threshold with the poor monitoring environment grade is larger than 100. The trained judgment model calculates the gas data again, so that the accuracy in the environment monitoring process is improved, and the monitoring result has objective real-time performance.
In one embodiment of this embodiment, as shown in fig. 5, after training the judgment model according to the training instruction and generating the modified judgment model, the method includes the following steps:
s501, generating a proofreading rule according to the training rule;
and S502, checking the correction judgment model according to the checking rule.
Step S501, in actual application, the system trains the judgment model according to the training rules, further generates a correction judgment model according with the actual environment level, and generates corresponding proofreading rules according to the training rules. According to the training rule with the difference threshold value 50 with the excellent grade, training an excellent judgment rule in the judgment model to obtain a proofreading rule which enables the threshold value range with the excellent grade of the monitoring environment to be reduced to 0-50; training a good judgment rule in the judgment model according to the training rule with the good grade difference threshold value 50 to obtain a proofreading rule which reduces the threshold value range with the good grade of the monitoring environment to 51-100; and training the poor judgment rules in the judgment model according to the training rules with the level being the poor difference threshold value 50 to obtain the correction rules which enable the judgment threshold value with the level being the poor monitoring environment level to be larger than 100.
Step S502, in actual application, a corresponding proofreading rule is generated according to the judgment threshold range in the correction judgment module, and the system proofreads the training process again according to the proofreading rule. Whether the judgment threshold range of the monitoring environment grade in the correction judgment module is in accordance with 0-50 is corrected according to the correction rule which reduces the threshold range of the monitoring environment grade to 0-50; whether the judgment threshold range of the monitoring environment level in the correction judgment module is good meets 51-100 is corrected according to the correction rule which reduces the threshold range of the monitoring environment level to 51-100; and checking whether the judgment threshold range of the monitoring environment grade difference in the correction judgment module is more than 100 according to the checking rule that the judgment threshold of the monitoring environment grade difference is more than 100. And the corrected and judged model after domestication is corrected again, so that the domestication efficiency is improved.
In one implementation of this embodiment, as shown in fig. 6, the following steps are included after step S105:
s601, obtaining the gas type according to a second operation result;
s602, establishing a current data list according to the gas type;
and S603, introducing and storing the gas data into a current data list according to the gas type.
Step S601, in practical application, the type of the gas data can be known through the second operation result, a corresponding current data list is established according to the type of the gas data, information such as gas concentration acquired on the current day can be known according to the gas data, and the gas data is introduced into the current data list according to the respective corresponding type, so that the gas data can be retrieved from the current data list at any time for further query and analysis.
And obtaining the types of gases such as carbon monoxide, sulfur dioxide and nitrogen dioxide according to the second operation result, establishing a current data list according to the types of the gases such as carbon monoxide, sulfur dioxide and nitrogen dioxide, setting information items such as gas types, gas concentrations and gas hazard levels in the current data list, and then introducing and storing the gas data of carbon monoxide, sulfur dioxide and nitrogen dioxide into the current data list according to the corresponding types and the information items, so that the requirement of comparing historical data in later research is met.
The embodiment of the application discloses an environment monitoring system, refer to fig. 7, including obtaining module 1, first grade operation module 2, analysis module 3 and second grade operation module 4. The acquisition module 1 is used for acquiring gas data; the primary operation module 2 is used for operating the gas data according to a first preset algorithm to obtain a first operation result; the analysis module 3 is used for analyzing the first operation result and the actual environment condition to obtain an analysis result, training a first preset algorithm according to an abnormal analysis result in the analysis result and the actual environment condition, and operating the gas data again according to the trained first preset algorithm; the secondary operation module 4 is used for operating the first operation result which accords with the reality according to a second preset algorithm, and obtaining a second operation result as a monitoring result.
The method comprises the steps that gas data in the environment are obtained according to an obtaining module 1, the obtaining module 1 sends the gas data to a primary operation module 2, the primary operation module 2 operates the gas data according to a first preset algorithm to obtain a corresponding first operation result, compared with the prior art, the primary operation module 2 sends the first operation result to an analysis module 3, the analysis module 3 compares the first operation result with the actual environment condition for analysis and check, whether the first operation result accords with the objective reality or not can be analyzed and checked through the comparison and check, if an abnormal analysis result is obtained, a training instruction is automatically generated by a system, the first preset algorithm is trained according to the training instruction, then the collected gas data are operated again according to the trained first preset algorithm until the obtained first operation result accords with the actual environment condition, and further judgment of the algorithm accords with the objective reality, the analysis module 3 sends the first operation result which accords with the actual environment condition to the secondary operation module 4, and the secondary operation module 4 operates the first operation result according to a second preset algorithm to obtain a second operation result as a monitoring result. The environmental monitoring system that this embodiment provided has the effect that improves gaseous monitoring data accuracy in the environment.
In practical application, gas data such as nitrogen dioxide, sulfur dioxide, carbon monoxide and volatile organic compounds in air are obtained through the obtaining module 1, the obtaining module 1 transmits the gas data to the primary operation module 2, the primary operation module 2 operates the gas data according to primary logic operation to obtain an air pollution index of the gas data of 65, and judges whether the air pollution index of 65 meets the standard of environment monitoring grade, the air pollution index of 65 and the environment monitoring grade are taken as first operation results, then the primary operation module 2 sends the first operation results to the analysis module 3, the analysis module 3 analyzes and judges whether the first operation results meet the gas monitoring grade in actual environment conditions, the air pollution index of 65 meets the standard of good environment monitoring grade through analysis and judgment, and further the judgment module in the primary logic operation is trained according to the gas monitoring grade standard in the actual environment conditions And (4) until the judgment model meets the standard in the actual environment condition.
The analysis module 3 sends the first operation result to the secondary operation module 4, and the secondary operation module 4 performs the operation on the first operation result again through the secondary operation logic to obtain a corresponding second operation result as a final monitoring result.
In one implementation manner of the present embodiment, as shown in fig. 7, the analysis module 3 includes a generation unit 31 and a training unit 32, the generation unit 31 is configured to generate a training rule according to the difference, and generate a training instruction according to the training rule; the training unit 32 is configured to train the judgment model according to the training instruction, generate a revised judgment model, and recalculate the gas data according to the revised judgment model.
The generating unit 31 generates a corresponding training instruction according to the training rule, the generating module sends the training instruction to the training unit 32, and the training unit trains the judgment model according to the training instruction and operates the gas data again.
In practical application, the generating unit 31 generates corresponding training rules according to the difference, the system automatically generates corresponding training instructions, and the domestication unit trains the superior judgment rules in the judgment model according to the training instructions with the superior level difference threshold 50, so that the threshold range with the superior level of the monitored environment is reduced to 0-50; the domestication unit is used for domesticating a good judgment rule in the judgment model according to the domestication instruction with the good-grade difference threshold value 50, so that the threshold range with the good-grade monitoring environment is reduced to 51-100; the domestication unit trains the poor judgment rule in the judgment model according to the training instruction with the poor difference threshold 50, so that the threshold with the poor monitoring environment level is larger than 100. The trained judgment model calculates the gas data again, so that the accuracy in the environment monitoring process is improved, and the monitoring result has objective real-time performance.
The embodiment of the application further discloses a terminal device, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein when the processor executes the computer program, any one of the environment monitoring methods in the embodiments is adopted.
The terminal device may adopt a computer device such as a desktop computer, a notebook computer, or a cloud server, and the terminal device includes but is not limited to a processor and a memory, for example, the terminal device may further include an input/output device, a network access device, a bus, and the like.
The processor may be a Central Processing Unit (CPU), and of course, according to an actual use situation, other general processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like may also be used, and the general processor may be a microprocessor or any conventional processor, and the present application does not limit the present invention.
The memory may be an internal storage unit of the terminal device, for example, a hard disk or a memory of the terminal device, or an external storage device of the terminal device, for example, a plug-in hard disk, a smart card memory (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the terminal device, and the memory may also be a combination of the internal storage unit of the terminal device and the external storage device, and the memory is used for storing a computer program and other programs and data required by the terminal device, and the memory may also be used for temporarily storing data that has been output or will be output, which is not limited in this application.
The terminal device stores any one of the environment monitoring methods in the embodiments in a memory of the terminal device, and the environment monitoring method is loaded and executed on a processor of the terminal device, so that the terminal device is convenient to use.
The embodiment of the application further discloses a computer readable storage medium, and the computer readable storage medium stores a computer program, wherein when the computer program is executed by a processor, any one of the environment monitoring methods in the above embodiments is adopted.
The computer program may be stored in a computer readable medium, the computer program includes computer program code, the computer program code may be in a source code form, an object code form, an executable file or some intermediate form, and the like, the computer readable medium includes any entity or device capable of carrying the computer program code, a recording medium, a usb disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read Only Memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, and the like, and the computer readable medium includes but is not limited to the above components.
The environment monitoring method in any of the above embodiments is stored in a computer-readable storage medium through the computer-readable storage medium, and is loaded and executed on a processor, so as to facilitate storage and application of the method.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. An environmental monitoring method, comprising the steps of:
acquiring gas data;
calculating the gas data according to a first preset algorithm to obtain a first calculation result;
analyzing the first operation result and the actual environment condition to obtain an analysis result;
training the first preset algorithm according to an abnormal analysis result in the analysis result and the actual environment condition, and calculating the gas data again according to the trained first preset algorithm;
and calculating the first operation result which is in line with the reality according to a second preset algorithm to obtain a second operation result as a monitoring result.
2. The environmental monitoring method according to claim 1, wherein the actual environmental condition includes an actual environmental level, and the analyzing the first operation result and the actual environmental condition to obtain an analysis result includes the following steps;
judging whether the environment monitoring grade accords with the actual environment grade;
and if the environment monitoring grade does not accord with the actual environment grade, obtaining the grade difference between the environment monitoring grade and the actual environment grade, and obtaining an abnormal analysis result as an analysis result based on the grade difference.
3. The environmental monitoring method according to claim 1, wherein the operation of the gas data according to the first predetermined algorithm to obtain the first operation result comprises the following steps:
obtaining a judgment model according to the first preset algorithm;
and calculating the gas data according to the judgment model to obtain a monitoring environment grade as a first calculation result.
4. The environmental monitoring method according to claim 2, wherein the training of the first preset algorithm according to the abnormal analysis result in the analysis result and the actual environmental condition and the re-operation of the gas data according to the trained first preset algorithm comprises the following steps:
acquiring a training rule according to the grade difference;
generating the training instruction according to the training rule;
training the judgment model according to the training instruction, generating a correction judgment model, and calculating the gas data again according to the correction judgment model.
5. The environmental monitoring method according to claim 4, wherein the training of the judgment model according to the training instruction to generate a modified judgment model comprises the following steps:
generating a proofreading rule according to the training rule;
and checking the correction judgment model according to the checking rule.
6. The environmental monitoring method according to claim 1, wherein the following steps are included after the operation is performed on the first operation result according to the second preset algorithm, and the second operation result is obtained as the monitoring result:
obtaining the gas type according to the second operation result;
establishing a current data list according to the gas type;
and importing and storing the gas data into the current data list according to the gas type.
7. An environmental monitoring system, comprising:
an acquisition module (1) for acquiring gas data;
the primary operation module (2) is used for operating the gas data according to a first preset algorithm to obtain a first operation result;
the analysis module (3) is used for analyzing the first operation result and the actual environment condition to obtain an analysis result, training the first preset algorithm according to the abnormal analysis result in the analysis result and the actual environment condition, and operating the gas data again according to the trained first preset algorithm;
and the secondary operation module (4) is used for operating the first operation result which accords with the reality according to a second preset algorithm, and obtaining a second operation result as a monitoring result.
8. Environmental monitoring system according to claim 7, wherein the analysis module (3) comprises:
a generating unit (31) for generating a training rule according to the difference and generating the training instruction according to the training rule;
and the training unit (32) is used for training the judgment model according to the training instruction, generating a correction judgment model and calculating the gas data again according to the correction judgment model.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the memory stores the computer program capable of running on the processor, and the processor loads and executes the computer program, thereby implementing the environment monitoring method according to any one of claims 1 to 6.
10. A computer-readable storage medium, in which a computer program is stored, which, when loaded and executed by a processor, employs an environmental monitoring method as claimed in any one of claims 1 to 6.
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| CN108228840A (en) * | 2018-01-05 | 2018-06-29 | 北京盛世博创信息技术有限公司 | Environment monitoring control method, device, terminal and computer readable storage medium |
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| CN110457816A (en) * | 2019-08-08 | 2019-11-15 | 中国科学院测量与地球物理研究所 | A kind of pollution of area source monitoring and assessing method and device |
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| CN108228840A (en) * | 2018-01-05 | 2018-06-29 | 北京盛世博创信息技术有限公司 | Environment monitoring control method, device, terminal and computer readable storage medium |
| CN108388291A (en) * | 2018-01-17 | 2018-08-10 | 中国农业大学 | A kind of greenhouse cluster environment regulation and control method and system |
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Application publication date: 20220909 |