CN115575584B - Atmospheric environment cadmium content monitoring and early warning method and system - Google Patents
Atmospheric environment cadmium content monitoring and early warning method and system Download PDFInfo
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- 229910052793 cadmium Inorganic materials 0.000 title claims abstract description 247
- BDOSMKKIYDKNTQ-UHFFFAOYSA-N cadmium atom Chemical compound [Cd] BDOSMKKIYDKNTQ-UHFFFAOYSA-N 0.000 title claims abstract description 247
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- 230000001419 dependent effect Effects 0.000 claims description 10
- 238000013507 mapping Methods 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 16
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
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- 238000001514 detection method Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000003723 Smelting Methods 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000003915 air pollution Methods 0.000 description 1
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- 238000009388 chemical precipitation Methods 0.000 description 1
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- 238000004519 manufacturing process Methods 0.000 description 1
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- 239000002184 metal Substances 0.000 description 1
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- 239000000049 pigment Substances 0.000 description 1
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Abstract
The invention discloses a monitoring and early warning method and a system for cadmium content in atmospheric environment, which relate to the field of artificial intelligence, and the method comprises the following steps: acquiring partition data of a preset area to obtain a preset function partition, wherein the preset function partition comprises a first function area and a second function area; acquiring a preset sampling scheme, and acquiring a first real-time sample and a second real-time sample in sequence; obtaining a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area; establishing an influence index set, and acquiring a real-time index parameter set; constructing an intelligent prediction model and obtaining output information; and extracting the first predicted cadmium content and the second predicted cadmium content in the output information, judging to obtain a judgment result, and carrying out cadmium content monitoring intelligent early warning according to the judgment result. The problem that the prior art cannot timely and accurately find that the local cadmium content exceeds the standard is solved. The effect of improving the timeliness, pertinence and accuracy of the early warning of the exceeding of the cadmium content in the atmospheric environment is achieved.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to an atmospheric environment cadmium content monitoring and early warning method and system.
Background
Under the background of rapid development of social economy and rapid development of scientific technology, atmospheric environment risks brought by human production and operation activities are continuously increased, and frequent atmospheric pollution events all cause serious environmental and social influences. Among them, cadmium pollution is a common pollution in air pollution events. Cadmium is silvery white and glossy metal, is soft, wear-resistant and corrosion-resistant, is a toxic substance and can cause harm to organisms, and the state of cadmium in the external environment is stable, so that the cadmium plays an important role in the problem of environmental pollution. The prior art has the problems that when monitoring and managing the cadmium content in the atmospheric environment, the problem that the local cadmium content can not be timely and accurately found to exceed the standard exists, so that the emergency disposal of atmospheric pollution can not be rapidly and effectively carried out, and finally the result of the atmospheric pollution is serious. Therefore, the research of dynamically monitoring and early warning the cadmium content in the atmospheric environment by using the computer technology has important significance for rapidly formulating an emergency treatment scheme of atmospheric pollution accidents, further improving the timeliness and effectiveness of atmospheric pollution treatment and finally improving the quality of the atmospheric environment.
However, in the prior art, when monitoring and managing the cadmium content in the atmospheric environment, the problem that the local cadmium content cannot be timely and accurately found to exceed the standard exists, so that the emergency treatment of the atmospheric pollution cannot be rapidly and effectively carried out, and finally the result of the atmospheric pollution is serious is caused.
Disclosure of Invention
The invention aims to provide a monitoring and early warning method and a monitoring and early warning system for cadmium content in an atmospheric environment, which are used for solving the problems that in the prior art, when monitoring and managing the cadmium content in the atmospheric environment, the problem that the local cadmium content can not be timely and accurately found to exceed the standard, further, the emergency treatment of atmospheric pollution can not be rapidly and effectively carried out, and finally, the result of the atmospheric pollution is serious.
In view of the above problems, the present invention provides a method and a system for monitoring and warning the cadmium content in the atmospheric environment.
In a first aspect, the present invention provides an atmospheric environment cadmium content monitoring and early warning method, which is implemented by an atmospheric environment cadmium content monitoring and early warning system, wherein the method includes: the method comprises the steps that partition data acquisition is carried out on a preset area, and a preset function partition is obtained according to an acquisition result, wherein the preset function partition comprises a first function area and a second function area, and the first function area is adjacent to the second function area; acquiring a preset sampling scheme, and sequentially collecting samples of the first functional area and the second functional area according to the preset sampling scheme to respectively obtain a first real-time sample and a second real-time sample; analyzing the first real-time sample and the second real-time sample in sequence to respectively obtain a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area; establishing an influence index set, and performing data acquisition on the preset area based on the influence index set to obtain a real-time index parameter set; constructing an intelligent prediction model, and taking the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set as input information of the intelligent prediction model to obtain output information; extracting a first predicted cadmium content and a second predicted cadmium content in the output information, and sequentially judging whether the first predicted cadmium content and the second predicted cadmium content meet a preset cadmium content threshold value; and obtaining a judgment result, and carrying out cadmium content monitoring intelligent early warning on the preset area according to the judgment result.
In a second aspect, the present invention further provides an atmospheric environmental cadmium content monitoring and early warning system, configured to execute the atmospheric environmental cadmium content monitoring and early warning method according to the first aspect, where the system includes: the device comprises a first obtaining module, a second obtaining module and a control module, wherein the first obtaining module is used for carrying out partition data acquisition on a preset area and obtaining a preset function partition according to an acquisition result, the preset function partition comprises a first function area and a second function area, and the first function area is adjacent to the second function area; the second obtaining module is used for obtaining a preset sampling scheme and sequentially collecting samples of the first functional area and the second functional area according to the preset sampling scheme to respectively obtain a first real-time sample and a second real-time sample; a third obtaining module, configured to sequentially analyze the first real-time sample and the second real-time sample to obtain a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area, respectively; the first acquisition module is used for establishing an influence index set and acquiring data of the preset area based on the influence index set to obtain a real-time index parameter set; the fourth obtaining module is used for constructing an intelligent prediction model, and taking the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set as input information of the intelligent prediction model to obtain output information; the first judgment module is used for extracting a first predicted cadmium content and a second predicted cadmium content in the output information and sequentially judging whether the first predicted cadmium content and the second predicted cadmium content meet a preset cadmium content threshold value or not; and the first execution module is used for obtaining a judgment result and carrying out cadmium content monitoring intelligent early warning on the preset area according to the judgment result.
In a third aspect, an electronic device comprises a processor and a memory;
the processor configured to process steps for performing any of the above methods of the first aspect;
the memory, coupled to the processor, for storing a program which, when executed by the processor, causes the system to perform the steps of any of the above methods of the first aspect.
In a fourth aspect, a computer readable storage medium has stored thereon a computer program which, when executed, performs the steps of any of the above methods in the first aspect.
One or more technical schemes provided by the invention at least have the following technical effects or advantages:
the method comprises the steps that partition data acquisition is carried out on a preset area, and a preset function partition is obtained according to an acquisition result, wherein the preset function partition comprises a first function area and a second function area, and the first function area is adjacent to the second function area; acquiring a preset sampling scheme, and sequentially collecting samples of the first functional area and the second functional area according to the preset sampling scheme to respectively obtain a first real-time sample and a second real-time sample; analyzing the first real-time sample and the second real-time sample in sequence to respectively obtain a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area; establishing an influence index set, and performing data acquisition on the preset area based on the influence index set to obtain a real-time index parameter set; constructing an intelligent prediction model, and taking the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set as input information of the intelligent prediction model to obtain output information; extracting a first predicted cadmium content and a second predicted cadmium content in the output information, and sequentially judging whether the first predicted cadmium content and the second predicted cadmium content meet a preset cadmium content threshold value; and obtaining a judgment result, and carrying out cadmium content monitoring intelligent early warning on the preset area according to the judgment result. Firstly, by collecting the function partition condition of the preset area, an individualized collection basis is provided for the subsequent individualized atmospheric sample collection aiming at different function areas in the area, the sampling rationality and reliability are further improved, and a reliable sample basis is provided for the subsequent monitoring. Then, the atmospheric samples are collected in different functional areas, and the cadmium content in each sample is sequentially monitored, so that the corresponding functional area cadmium content real-time data is obtained, the pertinence and the orderliness of monitoring the cadmium content in the atmospheric environment in the preset area are improved, and a basic technical effect is provided for subsequent pertinence early warning. And then, an influence index set is analyzed and constructed, an index parameter basis is provided for subsequently correcting the cadmium content real-time data of each functional area, correction reliability and effectiveness are provided, and the technical effects of improving the prediction reliability and approaching to the reality of a subsequent intelligent prediction model are achieved. And finally, whether the cadmium content condition of each functional area triggers an early warning threshold value is judged and analyzed in sequence according to the output result of the intelligent prediction model, functional area monitoring and early warning are carried out in a targeted manner, the goal of improving the intelligent degree of monitoring the cadmium content in the atmospheric environment is achieved, real-time early warning is carried out based on the monitoring result, and the effects of improving the timeliness, pertinence and accuracy of early warning are achieved, so that theoretical guidance is provided for related technicians to quickly and effectively repair and manage the atmospheric environment, and the technical effects of improving the emergency disposal efficiency and the disposal quality of atmospheric pollution are improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without inventive effort.
FIG. 1 is a schematic flow chart of a monitoring and early warning method for cadmium content in an atmospheric environment according to the present invention;
fig. 2 is a schematic flow chart of the atmospheric environmental cadmium content monitoring and early warning method in which the atmospheric samples are used as the first real-time samples according to the present invention;
FIG. 3 is a schematic flow chart of the influence index set formed in the atmospheric environment cadmium content monitoring and early warning method according to the present invention;
fig. 4 is a schematic flow chart illustrating retesting and updating of the first predicted cadmium content based on the second warning instruction in the atmospheric environment cadmium content monitoring and warning method of the present invention;
fig. 5 is a schematic structural diagram of an atmospheric environment cadmium content monitoring and early warning system according to the present invention.
Description of reference numerals:
the system comprises a first obtaining module M100, a second obtaining module M200, a third obtaining module M300, a first acquiring module M400, a fourth obtaining module M500, a first judging module M600 and a first executing module M700.
Detailed Description
The invention provides an atmospheric environment cadmium content monitoring and early warning method and system, and solves the problems that in the prior art, when monitoring and managing the cadmium content in the atmospheric environment, the problem that the local cadmium content can not be timely and accurately found to exceed the standard, further, the emergency treatment of atmospheric pollution can not be rapidly and effectively carried out, and finally, the result of the atmospheric pollution is serious. By means of an intelligent atmospheric environment monitoring result, the effects of improving timeliness, pertinence and accuracy of the cadmium content exceeding early warning in the atmospheric environment are achieved.
In the technical scheme of the invention, the data acquisition, storage, use, processing and the like all conform to relevant regulations of national laws and regulations.
In the following, the technical solutions in the present invention will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention. It should be further noted that, for the convenience of description, only some but not all of the features relevant to the present invention are shown in the drawings.
Example one
Referring to the attached drawing 1, the invention provides an atmospheric cadmium content monitoring and early warning method, wherein the method is applied to an atmospheric cadmium content monitoring and early warning system, and the method specifically comprises the following steps:
step S100: the method comprises the steps of carrying out partition data acquisition on a preset area and obtaining a preset function partition according to an acquisition result, wherein the preset function partition comprises a first function area and a second function area, and the first function area is adjacent to the second function area;
specifically, the atmospheric environment cadmium content monitoring and early warning method is applied to an atmospheric environment cadmium content monitoring and early warning system, and can intelligently monitor the atmospheric environment in a preset area through a computer technology, so that the abnormal condition of the cadmium content in the atmospheric environment can be found and early warned in time, and personalized early warning is provided for related technicians to treat atmospheric pollution, and the treatment efficiency and the treatment quality are improved. The preset area refers to any area to be monitored for the cadmium content in the atmospheric environment by using the atmospheric environment cadmium content monitoring and early warning system. As an example a city. Firstly, data information of administrative division, industrial division and the like of the preset area is collected, so that data of each functional area and corresponding positions of the functional areas in the preset area are obtained, and finally the preset functional partition of the preset area is formed. The method is characterized in that the northeast direction of a certain city is exemplified by industrial parks of multiple industries such as mining, smelting, electroplating and the like, the middle area of the city is a living area, multiple residences and communities are distributed, the northern direction of the city is provided with industrial parks of industries such as machinery, pigment, glass, ceramic and the like, and the southern direction of the city is provided with related commercial parks of entertainment, shopping, food and the like. Further, after a preset function partition is obtained according to partition data of a preset area, one function area is arbitrarily extracted from the preset function partition, and the extracted function area is subjected to targeted atmospheric environment monitoring, that is, the first function area is subjected to automatic monitoring of cadmium content in the atmosphere. In addition, a functional area is extracted again from the preset functional partition, and the functional area is adjacent to the first functional area. For example, a north direction of a certain city is an industry area, and the middle part of the city is a living area, and the industry area is adjacent to the living area.
Step S200: acquiring a preset sampling scheme, and sequentially collecting samples of the first functional area and the second functional area according to the preset sampling scheme to respectively obtain a first real-time sample and a second real-time sample;
further, the invention also comprises the following steps:
step S210: obtaining a first preset sampling frequency, a first preset sampling duration and a first preset sampling point;
step S220: forming a first preset sampling scheme based on the first preset sampling frequency, the first preset sampling duration and the first preset sampling point;
step S230: obtaining a second preset sampling frequency, a second preset sampling duration and a second preset sampling point;
step S240: forming a second preset sampling scheme based on the second preset sampling frequency, the second preset sampling duration and the second preset sampling point;
step S250: and forming the preset sampling scheme according to the first preset sampling scheme and the second preset sampling scheme.
Further, as shown in fig. 2, the present invention further includes:
step S261: performing multi-dimensional feature acquisition on the first functional area to obtain a first regional feature set, wherein the first regional feature set comprises a first population density, a first function type and a first area size;
step S262: analyzing the first population density, the first function type, the first area size and the preset sampling scheme, and obtaining a first sampling scheme of the first functional area according to an analysis result;
step S263: and obtaining a plurality of atmospheric samples of the first functional area according to the first sampling scheme, and taking the plurality of atmospheric samples as the first real-time samples.
Specifically, the preset sampling scheme refers to a plurality of sets of intelligent sampling schemes which are comprehensively analyzed by related professionals according to the actual conditions of each functional area in the preset area, wherein each set of sampling scheme carries out intelligent sampling with different frequencies, different sampling durations and different numbers of sampling points according to the actual conditions of the corresponding functional area. Firstly, after comprehensive analysis, setting the first preset sampling frequency, the first preset sampling duration and the first preset sampling point, combining the first preset sampling frequency, the first preset sampling duration and the first preset sampling point to generate the first preset sampling scheme, then, adjusting in sequence to obtain a second preset sampling frequency, a second preset sampling duration and a second preset sampling point, and combining again to obtain a second preset sampling scheme. That is to say, the first preset sampling scheme and the second preset sampling scheme have differences in the sampling frequency, sampling duration, and the positions and the number of the sampling points set in the functional area, and finally, the preset sampling scheme is formed according to the first preset sampling scheme and the second preset sampling scheme. For an exemplary industrial area functional area with serious atmospheric pollution, high-frequency atmospheric sampling is carried out, and meanwhile, the sampling time, the sampling point, the sampling position and the like are correspondingly set.
Further, after the preset sampling scheme is determined after comprehensive analysis, multi-dimensional feature acquisition is performed on the first functional area in the preset area to obtain a first area feature set, wherein the first area feature set comprises a first population density, a first function type and a first area size. Then, the first population density, the first function type, the first area size and the preset sampling scheme are analyzed, and a first sampling scheme of the first functional area is obtained according to an analysis result. That is, each of the preset sampling schemes is traversed to obtain a sampling scheme matched with the actual situation of the first functional area, that is, the first sampling scheme. And finally, obtaining a plurality of atmospheric samples of the first functional area according to the first sampling scheme, and taking the plurality of atmospheric samples as the first real-time samples of the first functional area.
By collecting the function partition condition of the preset area, an individualized collection basis is provided for the subsequent individualized atmosphere sample collection aiming at different function areas in the area, the sampling reasonability and reliability are further improved, and a reliable sample basis is provided for the subsequent monitoring.
Step S300: analyzing the first real-time sample and the second real-time sample in sequence to respectively obtain a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area;
step S400: establishing an influence index set, and acquiring data of the preset area based on the influence index set to obtain a real-time index parameter set;
further, the invention also comprises the following steps:
step S410: establishing an environment index set, wherein the environment index set comprises a plurality of environment indexes;
step S420: obtaining historical cadmium content monitoring data of the preset area, wherein each group of monitoring data in the historical cadmium content monitoring data comprises historical cadmium content data and a plurality of environmental index historical data;
step S430: analyzing the cadmium content historical data and the plurality of environmental index historical data by utilizing a maximum information coefficient method principle to obtain a correlation analysis result;
step S440: and screening the plurality of environmental indexes based on the correlation analysis result to obtain the influence index set.
Further, as shown in fig. 3, step S440 of the present invention further includes:
step S441: extracting any group of monitoring data in the historical cadmium content monitoring data;
step S442: taking cadmium content historical data in any group of monitoring data as a dependent variable and taking a plurality of environmental index historical data in any group of monitoring data as independent variables;
step S443: obtaining a scatter diagram based on the mapping relation between the independent variable and the dependent variable, wherein the scatter diagram comprises a plurality of environment index scatter diagrams;
step S444: obtaining a plurality of maximum information coefficients according to the plurality of environment index scatter diagrams;
step S445: performing descending order arrangement on the maximum information coefficients, and performing reverse matching to obtain an environment index sequence;
step S446: and extracting the environmental indexes with preset ranking threshold values in the environmental index sequence to form the influence index set.
Specifically, after cadmium content data in a corresponding sample is obtained through analysis and detection based on a sample obtained through real-time sampling, the next-stage cadmium content prediction based on the real-time cadmium content data is realized through analyzing historical cadmium content monitoring data.
Firstly, the first real-time sample and the second real-time sample are sequentially detected and analyzed to respectively obtain a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area. Exemplary is detection analysis using a plasma device. And then, analyzing the environmental index data corresponding to each cadmium content monitoring result by combining the related data in the historical cadmium content monitoring records, thereby obtaining the environmental index which can influence the cadmium content in the atmospheric environment, namely, establishing the influence index set. And then, carrying out data acquisition on the preset area based on the influence index set, thereby obtaining a real-time index parameter set. And finally, forecasting the cadmium content of the first functional area according to the real-time index parameter set and the real-time cadmium content data obtained by current detection. Through carrying out atmospheric sample collection to different functional areas, and then monitor the cadmium content in each sample in proper order to obtain corresponding functional area cadmium content real-time data, reached and improved atmospheric environment cadmium content monitoring pertinence, orderliness in the preset area, and then provide basic technical effect for follow-up pertinence early warning.
In the process of establishing the influence index set, an environment index set is established based on big data, wherein the environment index set comprises a plurality of environment indexes. Such as ambient temperature, ambient humidity, ambient light, ambient ultraviolet light intensity, wind power, wind speed, wind direction, wind duration, and the like, as exemplary. And then, collecting historical cadmium content monitoring data of the preset area, wherein each group of monitoring data in the historical cadmium content monitoring data comprises historical cadmium content data and a plurality of environmental index historical data. Exemplarily, when the atmospheric environment of a certain functional area in the area is monitored in history, the environmental index data in the monitoring state is collected and recorded at the same time. Further, analyzing the cadmium content historical data and the environmental index historical data by utilizing a maximum information coefficient method principle to obtain a correlation analysis result. That is to say, any one group of monitoring data in the historical cadmium content monitoring data is extracted, the historical cadmium content data in the monitoring data is used as a dependent variable, the historical environmental index data in the monitoring data is used as an independent variable, and a scatter diagram is obtained based on the mapping relation between the independent variable and the dependent variable, wherein the scatter diagram comprises a plurality of environmental index scatter diagrams. And then, according to the plurality of environment index scatter diagrams, sequentially calculating to obtain a plurality of maximum information coefficients, performing descending order arrangement on the plurality of maximum information coefficients, performing reverse matching to obtain an environment index sequence, and finally extracting environment indexes with preset ranking threshold values in the environment index sequence to form the influence index set. The preset ranking threshold value is comprehensively set according to actual monitoring and early warning precision requirements, equipment precision, system bearing degree and the like. And finally, screening to obtain the influence index set based on the correlation analysis result.
By analyzing and constructing the influence index set, an index parameter basis is provided for subsequently correcting the cadmium content real-time data of each functional area, correction reliability and effectiveness are provided, and meanwhile, the technical effects of improving the prediction reliability and the practical applicability of a subsequent intelligent prediction model are achieved.
Step S500: constructing an intelligent prediction model, and taking the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set as input information of the intelligent prediction model to obtain output information;
further, the invention also comprises the following steps:
step S510: constructing the intelligent prediction model by utilizing a Stacking algorithm principle, wherein the intelligent prediction model comprises a primary learner and a meta learner;
step S520: inputting the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set into the primary learner to obtain a primary prediction result;
step S530: and inputting the primary prediction result into the meta-learner to obtain a meta-prediction result, and taking the meta-prediction result as the output information.
Specifically, the intelligent prediction model is an integrated prediction model and is used for intelligently analyzing and obtaining the cadmium content prediction of the corresponding functional area according to the real-time cadmium content monitoring data of the functional area and the current environmental index parameter data, so that the early warning timeliness is improved. Firstly, the intelligent prediction model is constructed by utilizing a Stacking algorithm principle, wherein the intelligent prediction model comprises a primary learner and a meta learner. And then inputting the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set into the primary learner to obtain a primary prediction result. And then, inputting the primary prediction result into the meta-learner to obtain a meta-prediction result, and taking the meta-prediction result as the output information. By intelligent analysis and prediction of the intelligent prediction model, the technical effects of improving the prediction accuracy and effectiveness are achieved.
Step S600: extracting a first predicted cadmium content and a second predicted cadmium content in the output information, and sequentially judging whether the first predicted cadmium content and the second predicted cadmium content meet a preset cadmium content threshold value or not;
step S700: and obtaining a judgment result, and carrying out cadmium content monitoring intelligent early warning on the preset area according to the judgment result.
Further, as shown in fig. 4, step S700 of the present invention further includes:
step S710: according to a first judgment result in the judgment results;
step S720: according to the first judgment result, if the first predicted cadmium content does not accord with the preset cadmium content threshold value;
step S730: obtaining a first early warning instruction, wherein the first early warning instruction is used for performing first emergency repair on the first functional area;
step S740: if the first predicted cadmium content meets the preset cadmium content threshold value, obtaining a first calling instruction, wherein the first calling instruction is used for calling a second judgment result in the judgment results;
step S750: according to the second judgment result, if the second predicted cadmium content does not meet the preset cadmium content threshold value;
step S760: obtaining a second early warning instruction, wherein the second early warning instruction is used for carrying out second emergency repair on the second functional area;
step S770: and retesting and updating the first predicted cadmium content based on the second early warning instruction.
Specifically, according to the intelligent analysis of the intelligent prediction model, a corresponding output result is obtained. And the output result comprises cadmium content prediction data of the first functional area and cadmium content prediction data of the second functional area. And sequentially extracting a first predicted cadmium content and a second predicted cadmium content in the output information, sequentially judging whether the first predicted cadmium content and the second predicted cadmium content meet a preset cadmium content threshold value, and then carrying out cadmium content monitoring intelligent early warning on the preset area according to a judgment result.
Firstly, extracting a first judgment result in the judgment results, wherein the first judgment result is a judgment result of whether the first predicted cadmium content meets the preset cadmium content threshold, and then when the first predicted cadmium content does not meet the preset cadmium content threshold, automatically obtaining a first early warning instruction by a system, wherein the first early warning instruction is used for reminding a related responsible person to carry out first emergency repair on the atmospheric environment in the first functional area. Exemplary methods include chemical precipitation to remediate cadmium in air. In addition, if the first predicted cadmium content meets the preset cadmium content threshold, it is indicated that the cadmium content in the first functional area is predicted to be in a normal range, and corresponding repair processing is not required, at this time, the system automatically obtains a first call instruction, where the first call instruction is used to call a second judgment result in the judgment results. And then, according to the second judgment result, if the second predicted cadmium content does not meet the preset cadmium content threshold, obtaining a second early warning instruction, wherein the second early warning instruction is used for carrying out second emergency repair on the second functional area, and meanwhile, retesting and updating the first predicted cadmium content based on the second early warning instruction. Exemplarily, if the cadmium content of an industrial area in a certain city exceeds the standard, the cadmium content of a living area adjacent to the industrial area is predicted by the system to be not exceeding the standard, and at the moment, the cadmium content of the living area needs to be predicted and analyzed again for safety.
In summary, the atmospheric environment cadmium content monitoring and early warning method provided by the invention has the following technical effects:
the method comprises the steps that partition data acquisition is carried out on a preset area, and a preset function partition is obtained according to an acquisition result, wherein the preset function partition comprises a first function area and a second function area, and the first function area is adjacent to the second function area; acquiring a preset sampling scheme, and sequentially collecting samples of the first functional area and the second functional area according to the preset sampling scheme to respectively obtain a first real-time sample and a second real-time sample; analyzing the first real-time sample and the second real-time sample in sequence to respectively obtain a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area; establishing an influence index set, and acquiring data of the preset area based on the influence index set to obtain a real-time index parameter set; constructing an intelligent prediction model, and taking the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set as input information of the intelligent prediction model to obtain output information; extracting a first predicted cadmium content and a second predicted cadmium content in the output information, and sequentially judging whether the first predicted cadmium content and the second predicted cadmium content meet a preset cadmium content threshold value; and obtaining a judgment result, and carrying out cadmium content monitoring intelligent early warning on the preset area according to the judgment result. Firstly, by collecting the function partition condition of the preset area, an individualized collection basis is provided for the subsequent individualized atmospheric sample collection aiming at different function areas in the area, the sampling rationality and reliability are further improved, and a reliable sample basis is provided for the subsequent monitoring. Then, the atmospheric samples are collected in different functional areas, and the cadmium content in each sample is sequentially monitored, so that the corresponding functional area cadmium content real-time data is obtained, the pertinence and the orderliness of monitoring the cadmium content in the atmospheric environment in the preset area are improved, and a basic technical effect is provided for subsequent pertinence early warning. And then, an influence index set is analyzed and constructed, an index parameter basis is provided for subsequently correcting the cadmium content real-time data of each functional area, correction reliability and effectiveness are provided, and the technical effects of improving the prediction reliability and approaching to reality of a subsequent intelligent prediction model are achieved. Finally, whether the cadmium content condition of each functional area triggers an early warning threshold value or not is judged and analyzed in sequence according to the output result of the intelligent prediction model, functional area monitoring and early warning are carried out in a targeted mode, the goal of improving the intelligent degree of monitoring the cadmium content in the atmospheric environment is achieved, real-time early warning is carried out based on the monitoring result, and the effects of improving early warning timeliness, pertinence and accuracy are achieved, so that theoretical guidance is provided for relevant technicians to quickly and effectively repair and treat the atmospheric environment, and the technical effects of improving the atmospheric pollution emergency treatment efficiency and treatment quality are improved.
Example two
Based on the same inventive concept as the method for monitoring and warning the cadmium content in the atmospheric environment in the foregoing embodiment, the present invention further provides a system for monitoring and warning the cadmium content in the atmospheric environment, referring to fig. 5, where the system includes:
the first obtaining module M100 is configured to perform partition data acquisition on a preset area, and obtain a preset function partition according to an acquisition result, where the preset function partition includes a first function area and a second function area, and the first function area is adjacent to the second function area;
the second obtaining module M200 is configured to obtain a preset sampling scheme, and sequentially collect samples from the first functional area and the second functional area according to the preset sampling scheme to obtain a first real-time sample and a second real-time sample, respectively;
a third obtaining module M300, where the third obtaining module M300 is configured to analyze the first real-time sample and the second real-time sample in sequence, and obtain a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area, respectively;
a first acquisition module M400, where the first acquisition module M400 is configured to establish an influence index set, and perform data acquisition on the preset area based on the influence index set to obtain a real-time index parameter set;
a fourth obtaining module M500, where the fourth obtaining module M500 is configured to construct an intelligent prediction model, and obtain output information by using the first real-time cadmium content, the second real-time cadmium content, and the real-time index parameter set as input information of the intelligent prediction model;
the first judging module M600 is configured to extract a first predicted cadmium content and a second predicted cadmium content in the output information, and sequentially judge whether the first predicted cadmium content and the second predicted cadmium content meet a preset cadmium content threshold;
and the first execution module M700 is used for obtaining a judgment result and carrying out cadmium content monitoring intelligent early warning on the preset area according to the judgment result.
Further, the second obtaining module M200 in the system is further configured to:
obtaining a first preset sampling frequency, a first preset sampling duration and a first preset sampling point;
forming a first preset sampling scheme based on the first preset sampling frequency, the first preset sampling duration and the first preset sampling point;
obtaining a second preset sampling frequency, a second preset sampling duration and a second preset sampling point;
forming a second preset sampling scheme based on the second preset sampling frequency, the second preset sampling duration and the second preset sampling point;
and forming the preset sampling scheme according to the first preset sampling scheme and the second preset sampling scheme.
Further, the second obtaining module M200 in the system is further configured to:
performing multi-dimensional feature acquisition on the first functional area to obtain a first regional feature set, wherein the first regional feature set comprises a first population density, a first function type and a first area size;
analyzing the first population density, the first function type, the first area size and the preset sampling scheme, and obtaining a first sampling scheme of the first functional area according to an analysis result;
and obtaining a plurality of atmospheric samples of the first functional area according to the first sampling scheme, and taking the plurality of atmospheric samples as the first real-time samples.
Further, the first acquisition module M400 in the system is further configured to:
establishing an environment index set, wherein the environment index set comprises a plurality of environment indexes;
obtaining historical cadmium content monitoring data of the preset area, wherein each group of monitoring data in the historical cadmium content monitoring data comprises historical cadmium content data and a plurality of environmental index historical data;
analyzing the cadmium content historical data and the plurality of environmental index historical data by utilizing a maximum information coefficient method principle to obtain a correlation analysis result;
and screening the plurality of environmental indexes based on the correlation analysis result to obtain the influence index set.
Further, the first acquisition module M400 in the system is further configured to:
extracting any group of monitoring data in the historical cadmium content monitoring data;
taking cadmium content historical data in any group of monitoring data as a dependent variable and taking a plurality of environmental index historical data in any group of monitoring data as independent variables;
obtaining a scatter diagram based on the mapping relation between the independent variable and the dependent variable, wherein the scatter diagram comprises a plurality of environment index scatter diagrams;
obtaining a plurality of maximum information coefficients according to the plurality of environment index scatter diagrams;
performing descending order arrangement on the maximum information coefficients, and performing reverse matching to obtain an environment index sequence;
and extracting the environmental indexes with preset ranking threshold values in the environmental index sequence to form the influence index set.
Further, the fourth obtaining module in the system is further configured to:
constructing the intelligent prediction model by utilizing a Stacking algorithm principle, wherein the intelligent prediction model comprises a primary learner and a meta learner;
inputting the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set into the primary learner to obtain a primary prediction result;
and inputting the primary prediction result into the meta-learner to obtain a meta-prediction result, and taking the meta-prediction result as the output information.
Further, the first executing module M700 in the system is further configured to:
extracting a first judgment result in the judgment results;
according to the first judgment result, if the first predicted cadmium content does not meet the preset cadmium content threshold value;
obtaining a first early warning instruction, wherein the first early warning instruction is used for performing first emergency repair on the first functional area;
if the first predicted cadmium content meets the preset cadmium content threshold value, obtaining a first calling instruction, wherein the first calling instruction is used for calling a second judgment result in the judgment results;
according to the second judgment result, if the second predicted cadmium content does not accord with the preset cadmium content threshold value;
obtaining a second early warning instruction, wherein the second early warning instruction is used for carrying out second emergency repair on the second functional area;
and retesting and updating the first predicted cadmium content based on the second early warning instruction.
In the present description, each embodiment is described in a progressive manner, and the main description of each embodiment is different from other embodiments, and the foregoing atmospheric environment cadmium content monitoring and warning method in the first embodiment of fig. 1 and the specific example are also applicable to an atmospheric environment cadmium content monitoring and warning system in the present embodiment. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The application also provides an electronic device, which comprises a processor and a memory;
the processor is used for processing and executing the steps of the method in any one of the first embodiment;
the memory, coupled to the processor, stores a program that, when executed by the processor, causes the system to perform the steps of the method of any of the above embodiments.
The present application further provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, which when executed performs the steps of the method of any of the above embodiments.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and its equivalent technology, it is intended that the present invention also include such modifications and variations.
Claims (5)
1. An atmospheric environment cadmium content monitoring and early warning method is characterized by comprising the following steps:
the method comprises the steps of carrying out partition data acquisition on a preset area and obtaining a preset function partition according to an acquisition result, wherein the preset function partition comprises a first function area and a second function area, and the first function area is adjacent to the second function area;
obtaining a preset sampling scheme, and sequentially carrying out sample collection on the first functional area and the second functional area according to the preset sampling scheme to respectively obtain a first real-time sample and a second real-time sample, wherein the obtaining of the preset sampling scheme comprises: obtaining a first preset sampling frequency, a first preset sampling duration and a first preset sampling point; forming a first preset sampling scheme based on the first preset sampling frequency, the first preset sampling duration and the first preset sampling point; obtaining a second preset sampling frequency, a second preset sampling duration and a second preset sampling point; forming a second preset sampling scheme based on the second preset sampling frequency, the second preset sampling duration and the second preset sampling point; forming the preset sampling scheme according to the first preset sampling scheme and the second preset sampling scheme, and performing multi-dimensional feature acquisition on the first functional area to obtain a first regional feature set, wherein the first regional feature set comprises a first population density, a first function type and a first area size; analyzing the first population density, the first function type, the first area size and the preset sampling scheme, and obtaining a first sampling scheme of the first functional area according to an analysis result; obtaining a plurality of atmospheric samples of the first functional area according to the first sampling scheme, and taking the plurality of atmospheric samples as the first real-time samples;
analyzing the first real-time sample and the second real-time sample in sequence to respectively obtain a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area;
establishing an influence index set, and performing data acquisition on the preset area based on the influence index set to obtain a real-time index parameter set, wherein the establishing of the influence index set comprises: establishing an environment index set, wherein the environment index set comprises a plurality of environment indexes; obtaining historical cadmium content monitoring data of the preset area, wherein each group of monitoring data in the historical cadmium content monitoring data comprises historical cadmium content data and a plurality of environmental index historical data; analyzing the cadmium content historical data and the plurality of environmental index historical data by utilizing a maximum information coefficient method principle to obtain a correlation analysis result; screening the plurality of environmental indicators based on the correlation analysis result to obtain the influence indicator set, wherein the influence indicator set comprises: extracting any group of monitoring data in the historical cadmium content monitoring data; taking cadmium content historical data in any group of monitoring data as a dependent variable and taking a plurality of environmental index historical data in any group of monitoring data as independent variables; obtaining a scatter diagram based on the mapping relation between the independent variable and the dependent variable, wherein the scatter diagram comprises a plurality of environment index scatter diagrams; obtaining a plurality of maximum information coefficients according to the plurality of environment index scatter diagrams; performing descending order arrangement on the maximum information coefficients, and performing reverse matching to obtain an environment index sequence; extracting the environmental indexes with preset ranking threshold values in the environmental index sequence to form the influence index set;
constructing an intelligent prediction model, and taking the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set as input information of the intelligent prediction model to obtain output information, wherein the output information comprises: constructing the intelligent prediction model by utilizing a Stacking algorithm principle, wherein the intelligent prediction model comprises a primary learner and a meta learner; inputting the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set into the primary learner to obtain a primary prediction result; inputting the primary prediction result into the meta-learner to obtain a meta-prediction result, and taking the meta-prediction result as the output information;
extracting a first predicted cadmium content and a second predicted cadmium content in the output information, and sequentially judging whether the first predicted cadmium content and the second predicted cadmium content meet a preset cadmium content threshold value;
and obtaining a judgment result, and carrying out cadmium content monitoring intelligent early warning on the preset area according to the judgment result.
2. The atmospheric environment cadmium content monitoring and early warning method according to claim 1, wherein the obtaining of the judgment result and the intelligent early warning of cadmium content monitoring to the preset area according to the judgment result comprise:
extracting a first judgment result in the judgment results;
according to the first judgment result, if the first predicted cadmium content does not meet the preset cadmium content threshold value;
obtaining a first early warning instruction, wherein the first early warning instruction is used for performing first emergency repair on the first functional area;
if the first predicted cadmium content meets the preset cadmium content threshold value, obtaining a first calling instruction, wherein the first calling instruction is used for calling a second judgment result in the judgment results;
according to the second judgment result, if the second predicted cadmium content does not meet the preset cadmium content threshold value;
obtaining a second early warning instruction, wherein the second early warning instruction is used for carrying out second emergency repair on the second functional area;
and retesting and updating the first predicted cadmium content based on the second early warning instruction.
3. The monitoring and early warning system for the cadmium content in the atmospheric environment is characterized by comprising:
the device comprises a first obtaining module, a second obtaining module and a processing module, wherein the first obtaining module is used for carrying out partition data acquisition on a preset area and obtaining a preset function partition according to an acquisition result, the preset function partition comprises a first function area and a second function area, and the first function area is adjacent to the second function area in position;
the second obtaining module is used for obtaining a preset sampling scheme, sequentially collecting samples of the first functional area and the second functional area according to the preset sampling scheme to respectively obtain a first real-time sample and a second real-time sample, and is also used for obtaining a first preset sampling frequency, a first preset sampling duration and a first preset sampling point; forming a first preset sampling scheme based on the first preset sampling frequency, the first preset sampling duration and the first preset sampling point; obtaining a second preset sampling frequency, a second preset sampling duration and a second preset sampling point; forming a second preset sampling scheme based on the second preset sampling frequency, the second preset sampling duration and the second preset sampling point; the preset sampling scheme is formed according to the first preset sampling scheme and the second preset sampling scheme, and the first area feature set is further used for carrying out multi-dimensional feature acquisition on the first functional area to obtain a first area feature set, wherein the first area feature set comprises a first population density, a first function type and a first area size; analyzing the first population density, the first function type, the first area size and the preset sampling scheme, and obtaining a first sampling scheme of the first functional area according to an analysis result; obtaining a plurality of atmospheric samples of the first functional area according to the first sampling scheme, and taking the plurality of atmospheric samples as the first real-time samples;
a third obtaining module, configured to analyze the first real-time sample and the second real-time sample in sequence to obtain a first real-time cadmium content of the first functional area and a second real-time cadmium content of the second functional area, respectively;
the system comprises a first acquisition module and an environment index set, wherein the first acquisition module is used for establishing an influence index set, carrying out data acquisition on the preset area based on the influence index set to obtain a real-time index parameter set, and establishing the environment index set, wherein the environment index set comprises a plurality of environment indexes; obtaining historical cadmium content monitoring data of the preset area, wherein each group of monitoring data in the historical cadmium content monitoring data comprises historical cadmium content data and a plurality of environmental index historical data; analyzing the cadmium content historical data and the plurality of environmental index historical data by utilizing a maximum information coefficient method principle to obtain a correlation analysis result; screening the plurality of environmental indexes based on the correlation analysis result to obtain the influence index set, and extracting any group of monitoring data in the historical cadmium content monitoring data; taking cadmium content historical data in any group of monitoring data as a dependent variable and taking a plurality of environmental index historical data in any group of monitoring data as independent variables; obtaining a scatter diagram based on the mapping relation between the independent variable and the dependent variable, wherein the scatter diagram comprises a plurality of environment index scatter diagrams; obtaining a plurality of maximum information coefficients according to the plurality of environment index scatter diagrams; performing descending order arrangement on the maximum information coefficients, and performing reverse matching to obtain an environment index sequence; extracting the environmental indexes with preset ranking threshold values in the environmental index sequence to form the influence index set;
the fourth obtaining module is used for constructing an intelligent prediction model, taking the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set as input information of the intelligent prediction model to obtain output information, and constructing the intelligent prediction model by using a Stacking algorithm principle, wherein the intelligent prediction model comprises a primary learner and a meta-learner; inputting the first real-time cadmium content, the second real-time cadmium content and the real-time index parameter set into the primary learner to obtain a primary prediction result; inputting the primary prediction result into the meta-learner to obtain a meta-prediction result, and taking the meta-prediction result as the output information;
the first judgment module is used for extracting a first predicted cadmium content and a second predicted cadmium content in the output information and sequentially judging whether the first predicted cadmium content and the second predicted cadmium content meet a preset cadmium content threshold value or not;
and the first execution module is used for obtaining a judgment result and carrying out cadmium content monitoring intelligent early warning on the preset area according to the judgment result.
4. An electronic device comprising a processor and a memory;
the processor, configured to process to perform the method of any one of claims 1-2;
the memory coupled with the processor for storing a program that, when executed by the processor, causes the system to perform the steps of the method of any of claims 1-2.
5. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when executed, carries out the steps of the method of any of claims 1-2.
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