CN116645007B - Environment evaluation method and system based on multidimensional data acquisition - Google Patents

Environment evaluation method and system based on multidimensional data acquisition Download PDF

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CN116645007B
CN116645007B CN202310779711.2A CN202310779711A CN116645007B CN 116645007 B CN116645007 B CN 116645007B CN 202310779711 A CN202310779711 A CN 202310779711A CN 116645007 B CN116645007 B CN 116645007B
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梁翠翠
陈一鸣
陈为旭
姬忠应
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Shandong Huanda Ecological Environment Technology Co ltd
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Abstract

The invention discloses an environment evaluation method and system based on multidimensional data acquisition, and relates to the technical field of data processing, wherein the method comprises the following steps: constructing an environment monitoring index library, wherein the environment monitoring index library comprises a plurality of associated index sets; based on a plurality of associated index sets, multidimensional data acquisition is carried out on a target area to obtain a plurality of associated index parameter sets, the plurality of associated index parameter sets are input into an environmental quality analysis model to obtain a plurality of environmental quality indexes, dispersion analysis is carried out on the plurality of environmental quality indexes to obtain index dispersion, and if the index dispersion accords with a preset dispersion threshold value, an average value of the plurality of environmental quality indexes is used as an environmental evaluation result. The invention solves the technical problem of low accuracy of the evaluation result due to single environmental evaluation data in the prior art, and achieves the technical effect of improving the accuracy of the environmental evaluation result by performing environmental evaluation based on multidimensional data.

Description

Environment evaluation method and system based on multidimensional data acquisition
Technical Field
The invention relates to the technical field of data processing, in particular to an environment evaluation method and system based on multidimensional data acquisition.
Background
The environmental quality evaluation is a technology, is an effective means for strengthening environmental management, and plays an important role in determining the economic development direction, protecting the environment and the like. The existing environmental quality evaluation method is to evaluate and predict the environmental quality of a specific area range according to a certain standard. The method and the data are single, and the accuracy of the obtained environmental quality evaluation result is not high.
Disclosure of Invention
The application provides an environment evaluation method and system based on multidimensional data acquisition, which are used for solving the technical problem of low accuracy of an evaluation result caused by single environment evaluation data in the prior art.
In a first aspect of the present application, there is provided an environmental assessment method based on multidimensional data acquisition, the method comprising: constructing an environment monitoring index library, wherein the environment monitoring index library comprises a plurality of associated index sets; based on the plurality of associated index sets, multidimensional data acquisition is carried out on the target area, and a plurality of associated index parameter sets are obtained; inputting the plurality of associated index parameter sets into an environmental quality analysis model to obtain a plurality of environmental quality indexes; performing dispersion analysis on the plurality of environmental quality indexes to obtain index dispersion; and if the index dispersion accords with a preset dispersion threshold value, taking the average value of the plurality of environment quality indexes as an environment evaluation result.
In a second aspect of the present application, there is provided an environmental assessment system based on multi-dimensional data acquisition, the system comprising: the environment monitoring index library construction module is used for constructing an environment monitoring index library, and the environment monitoring index library comprises a plurality of associated index sets; the associated index parameter set obtaining module is used for carrying out multidimensional data acquisition on the target area based on the plurality of associated index sets to obtain a plurality of associated index parameter sets; the environment quality index obtaining module is used for inputting the plurality of associated index parameter sets into an environment quality analysis model to obtain a plurality of environment quality indexes; the index dispersion obtaining module is used for carrying out dispersion analysis on the plurality of environment quality indexes to obtain index dispersion; the environment evaluation result obtaining module is used for taking the average value of a plurality of environment quality indexes as an environment evaluation result if the index dispersion accords with a preset dispersion threshold value.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the application provides an environment evaluation method based on multidimensional data acquisition, which relates to the technical field of data processing and comprises the steps of constructing an environment monitoring index library, wherein the environment monitoring index library comprises a plurality of associated index sets; based on a plurality of associated index sets, multidimensional data acquisition is carried out on a target area to obtain a plurality of associated index parameter sets, the plurality of associated index parameter sets are input into an environmental quality analysis model to obtain a plurality of environmental quality indexes, dispersion analysis is carried out on the plurality of environmental quality indexes to obtain index dispersion, and if the index dispersion accords with a preset dispersion threshold value, an average value of the plurality of environmental quality indexes is used as an environmental evaluation result, so that the technical problem that the accuracy of the evaluation result is low due to single environmental evaluation data in the prior art is solved, the technical effect that environmental evaluation is carried out based on multidimensional data is realized, and the accuracy of the environmental evaluation result is improved is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an environment evaluation method based on multidimensional data collection according to an embodiment of the present application;
fig. 2 is a schematic flow chart of constructing an environment monitoring index library in the environment evaluation method based on multidimensional data acquisition according to the embodiment of the present application;
fig. 3 is a schematic flow chart of obtaining a plurality of environmental quality indexes in an environmental evaluation method based on multi-dimensional data acquisition according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an environment evaluation system based on multidimensional data collection according to an embodiment of the present application.
Reference numerals illustrate: the system comprises an environment monitoring index library construction module 11, an associated index parameter set obtaining module 12, an environment quality index obtaining module 13, an index dispersion obtaining module 14 and an environment evaluation result obtaining module 15.
Detailed Description
The application provides an environment evaluation method based on multidimensional data acquisition, which is used for solving the technical problem of low accuracy of an evaluation result caused by single environment evaluation data in the prior art.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Embodiment one:
as shown in fig. 1, the present application provides an environment evaluation method based on multidimensional data acquisition, the method comprising:
s100: constructing an environment monitoring index library, wherein the environment monitoring index library comprises a plurality of associated index sets;
specifically, a plurality of environment monitoring indexes are obtained, the environment monitoring indexes are used as construction data, and an environment monitoring index library is constructed, wherein the environment monitoring index library comprises a plurality of associated index sets, and the associated index sets respectively correspond to air, surface water, groundwater, soil and the like, for example, the associated index sets of the soil comprise soil nutrient components such as organic matters, ammonium nitrogen, boron, pH value, calcium-magnesium ratio and the like; heavy metal elements such as lead, mercury, antimony, arsenic, beryllium, cadmium and the like; other elements such as calcium, iron, titanium, boron, etc. The plurality of associated index sets can be used as references for subsequent multi-dimensional data acquisition.
Further, as shown in fig. 2, step S100 in the embodiment of the present application further includes:
s110: acquiring environmental monitoring indexes based on big data;
s120: performing cluster analysis on the environment monitoring indexes to obtain a plurality of monitoring index sets;
s130: performing environment quality association analysis on the monitoring indexes in the plurality of monitoring index sets in sequence to obtain a plurality of association index sets, wherein the plurality of association index sets have environment type identifiers;
s140: and constructing the environment monitoring index library by the environment type identifier and the plurality of associated index sets.
Specifically, a plurality of environmental monitoring indexes are obtained through big data network retrieval, for example, the atmospheric pollution monitoring indexes are: physical and chemical properties such as formaldehyde removal rate, PM2.5 removal rate, negative ion content and the like; toxic and harmful substances such as formaldehyde, sulfuric acid mist, SO2, benzene, toluene and the like; heavy metals such as tin, cadmium, chromium, etc.; the removal rate of staphylococcus albus, the removal rate of natural bacteria, etc. The water pollution monitoring indexes are as follows: sensory properties and physical indexes such as chromaticity, pH value, conductivity, total hardness and the like; inorganic nonmetallic indexes such as sulfate, chloride and the like; metal indexes such as Pb, hg, cu and the like; organic matter comprehensive indexes such as oxygen consumption, biochemical oxygen demand, total organic carbon and the like; organic indexes such as carbon tetrachloride, benzo [ alpha ] pyrene and the like. The soil pollution monitoring indexes are as follows: organic matters, ammonium nitrogen, boron and other soil nutrient components; heavy metal elements such as lead and mercury; other elements such as calcium, iron, titanium, boron, etc.; pesticide residue detection, fertilizer detection, etc. Clustering the environment monitoring indexes according to the polluted environment types to obtain a plurality of monitoring index sets, wherein the monitoring index sets comprise an atmosphere pollution monitoring index set, a water pollution monitoring index set and a soil pollution monitoring index set. And sequentially extracting monitoring index data in the plurality of monitoring index sets and environment quality detection data in the past period (which can be three months, half years, one year and the like, wherein the specific time can be adaptively adjusted according to actual conditions), performing association analysis on the monitoring index data and the environment quality detection data, judging whether the monitoring index is associated with the environment quality or not by comparing the change condition of the monitoring index data and the environment quality detection data in the same time, and obtaining a plurality of association index sets, wherein each association index set is provided with an environment type identifier, namely, each association index set corresponds to one environment type, such as a soil monitoring association index set. The environment monitoring index library is called by a plurality of associated index sets with environment type identifiers, and can be used as a reference for multi-dimensional data acquisition.
Further, step S130 in the embodiment of the present application further includes:
s131: acquiring a first historical environmental quality record;
s132: extracting a first monitoring index in a first monitoring index set;
s133: extracting first historical environmental quality data and historical first monitoring index data according to the first monitoring index and the first historical environmental quality record;
s134: calculating the unit mass change rate of the first historical environmental quality data and the unit index change rate of the historical first monitoring index data;
s135: calculating the absolute value of the difference between the unit mass change rate and the unit index change rate;
s136: judging whether the absolute value of the difference value meets a preset difference value, if so, adding the first monitoring index corresponding to the historical first monitoring index data to a first association index set;
s137: and continuously acquiring other multiple associated index sets to obtain the multiple associated index sets.
Specifically, the environmental quality detection record of the target area in the past period of time is extracted, wherein the environmental quality detection record comprises records of air quality, water quality, soil quality and the like, the records are used as a first historical environmental quality record, meanwhile, environmental monitoring indexes of the target area in the past period of time are extracted, one index set is randomly selected to be used as a first monitoring index set according to the monitoring index set, the environmental monitoring index record of the target area in the past period of time is extracted by taking the first monitoring index set as a reference, and the environmental monitoring index record of the target area in the past period of time is used as a first monitoring index, for example, the atmospheric monitoring index record in the past period of time is extracted. And then extracting monitoring index data and environment quality data from the first monitoring index and the first historical environment quality record respectively, and taking the monitoring index data and the environment quality data as historical first monitoring index data and first historical environment quality data. Further, the change rates of the historical first monitoring index data and the first historical environmental quality data in unit time are calculated respectively to obtain a unit index change rate and a unit quality change rate, the unit quality change rate is subtracted from the unit index change rate, and the absolute value of the difference value is extracted. Comparing the absolute value of the difference with a preset difference, wherein the smaller the absolute value of the difference between the unit quality change rate and the unit index change rate is, the larger the corresponding correlation between the environmental monitoring index and the environmental quality is, so that the preset difference is a difference threshold, namely the maximum value of the absolute value of the difference, and when the absolute value of the difference is smaller than or equal to the preset difference, the larger the correlation between the historical first monitoring index data and the first historical environmental quality data is, and the first monitoring index corresponding to the historical first monitoring index data is added to a first correlation index set. And by analogy, continuously acquiring a plurality of other associated index sets to obtain the plurality of associated index sets, wherein the plurality of associated index sets can be used as basic data for constructing the environment monitoring index library.
S200: based on the plurality of associated index sets, multidimensional data acquisition is carried out on the target area, and a plurality of associated index parameter sets are obtained;
specifically, the multiple associated index sets are taken as references, associated monitoring data of multiple dimensions in the target area, such as monitoring data of atmospheric dimension, monitoring data of soil dimension and monitoring data of water body dimension, are extracted, and are arranged into multiple associated index parameter sets, and can be used as basic data for environment quality index calculation.
S300: inputting the plurality of associated index parameter sets into an environmental quality analysis model to obtain a plurality of environmental quality indexes;
specifically, the plurality of associated index parameter sets are respectively input into an environmental quality analysis model for environmental quality analysis of a target area, wherein the environmental quality analysis model is a model for environmental quality analysis according to real-time environmental monitoring index data, comprises a plurality of quality analysis modules of different environmental types, and can be used for calculating environmental quality indexes of the different environmental types, and the environmental quality indexes refer to environmental quality grades of the different environmental types, including atmospheric environmental quality indexes, soil environmental quality indexes and water environmental quality indexes, and can be used as basic data for subsequent environmental evaluation.
Further, as shown in fig. 2, step S300 in the embodiment of the present application further includes:
s310: the environment quality analysis model is constructed, and comprises a plurality of environment quality analysis units which are used for carrying out environment quality analysis on the plurality of associated index parameter sets;
s320: extracting a first associated index set in the plurality of associated index sets, and acquiring a first environment type identifier corresponding to the first associated index set;
s330: acquiring a first environment quality scoring strategy according to the first environment type identifier;
s340: constructing a first environmental quality analysis unit according to the first environmental quality scoring strategy;
s350: and continuously constructing a plurality of other environment quality analysis units to obtain the environment quality analysis model.
Specifically, the environmental quality analysis model is constructed, and the environmental quality analysis model is used for carrying out environmental quality analysis according to real-time environmental monitoring index data, and comprises a plurality of environmental quality analysis units which are used for carrying out environmental quality analysis through the plurality of associated index parameter sets. Randomly extracting one association index set in the plurality of association index sets as a first association index set, acquiring a first environment type identifier corresponding to the first association index set, such as a soil type corresponding to a soil monitoring association index set, according to the environment type characteristics of the first environment type identifier, formulating a corresponding environment quality scoring strategy as a first environment quality scoring strategy, constructing a first environment quality analysis unit of the first environment type by utilizing the first environment quality scoring strategy, and so on, continuing constructing other plurality of environment quality analysis units, and jointly forming the environment quality analysis model by the plurality of environment quality analysis units.
Further, step S330 in the embodiment of the present application further includes:
s331: acquiring a first index qualification parameter corresponding to a first association index of the first association index set according to the first environment type identifier;
s332: taking the first index qualified parameter as a central ladder, carrying out ladder division on the first associated index parameter to obtain a parameter ladder division result;
s333: performing stepwise distribution of environmental quality scores according to the stepwise division result to obtain a quality score distribution result;
s334: and acquiring the first environment quality scoring strategy according to the parameter order division result and the quality scoring distribution result.
Specifically, according to the first environment type identifier, index qualified parameters corresponding to first associated indexes of the first associated index set are extracted and used as first index qualified parameters, the first index qualified parameters can be carbon dioxide concentration, carbon monoxide concentration and the like, the first index qualified parameters are used as central steps, step division of the first associated index parameters is performed to obtain parameter step division results, the carbon dioxide concentration is divided into 5 steps, corresponding environment quality grading step distribution is performed according to the step division results to obtain quality grading distribution results, environment quality grading corresponding to different stage qualified index parameters is different, for example, when the carbon dioxide concentration is 0.04%, the environment quality grading is 80 minutes, and when the carbon dioxide concentration is 0.08%, the environment quality grading is 50 minutes. And taking the parameter grading result of the first associated index parameter and the corresponding quality score distribution result as the first environment quality score strategy to construct a first environment quality analysis unit.
S400: performing dispersion analysis on the plurality of environmental quality indexes to obtain index dispersion;
specifically, the plurality of environmental quality indexes, that is, the atmospheric environmental quality index, the soil environmental quality index, and the water body environmental quality index are respectively subjected to a dispersion analysis method, which is a method for measuring a set of data dispersion degrees reflecting the degree to which a set of data is far from the central value thereof, and thus are also referred to as dispersion trends.
Methods such as calculation of the polar difference, the quartile difference, the variance, the standard deviation, the variation coefficient and the like are commonly used for describing the discrete degree of a group of data, and the larger the numerical values such as the variance, the standard deviation and the like, the larger the discrete degree of the data, and conversely, the smaller the discrete degree. The method and the device judge the dispersion degree of the plurality of environmental quality indexes by calculating the extremely poor and variance of the plurality of environmental quality indexes, and obtain the index dispersion degree, and can be used for judging whether the plurality of environmental quality indexes can be used as environmental evaluation at present.
S500: and if the index dispersion accords with a preset dispersion threshold value, taking the average value of the plurality of environment quality indexes as an environment evaluation result.
Specifically, the index dispersion is compared with a preset dispersion threshold, whether the index dispersion of the plurality of environmental quality indexes meets the data dispersion requirement is judged, the preset dispersion threshold is a maximum value of data dispersion degree preset in advance, the index dispersion of the plurality of environmental quality indexes is set according to the environmental quality detection precision requirement of a target area, and if the index dispersion of the plurality of environmental quality indexes is smaller than or equal to the preset dispersion threshold, the average value of the plurality of environmental quality indexes is used as an environmental evaluation result, so that the precision of environmental quality evaluation can be improved.
Further, the embodiment of the present application further includes step S600, where step S600 further includes:
s610: setting a quality index constraint value;
s620: and if the index dispersion does not accord with a preset dispersion threshold, extracting an abnormal environment quality index of which the environment quality index does not meet the quality index constraint value, and taking the abnormal environment quality index as the environment evaluation result.
Specifically, according to the environmental quality requirement of the target area, a quality index constraint value, namely an environmental quality index threshold value, is set, if the index dispersion does not meet the preset dispersion threshold value, which indicates that one or more environmental quality indexes of the target area are seriously out of standard, the average value of the environmental quality indexes cannot be used as an environmental evaluation result, one or more abnormal environmental quality indexes, of which the environmental quality indexes do not meet the quality index constraint value, are required to be extracted from the environmental quality indexes, and the environment quality indexes can be used for highlighting the environmental detection index with serious pollution as the environmental evaluation result.
Further, the embodiment of the present application further includes step S700, where step S700 further includes:
s710: judging whether the environmental evaluation result meets a preset environmental quality score or not;
s720: if the target area is not satisfied, carrying out pollution diffusion analysis according to the target area to obtain a diffusion range and diffusion parameters;
s730: and generating diffusion reminding information according to the diffusion range and the diffusion parameter.
Specifically, the environmental evaluation result is scored, whether the environmental evaluation result meets a preset environmental quality score or not is judged, the preset environmental quality score is an environmental score standard preset according to the environmental quality requirement of a target area, if the environmental evaluation result does not meet the preset environmental quality score, the environmental quality of the target area does not reach the standard, the geographic environment distribution of the target area needs to be subjected to pollution diffusion analysis, the diffusion range, the diffusion speed, the diffusion direction and other diffusion parameters of the current pollution source are calculated, diffusion reminding information is generated according to the diffusion range and the diffusion parameters, and the diffusion reminding information is sent to management staff in the area possibly affected by the periphery so as to take pollution treatment and prevention and control measures together.
In summary, the embodiments of the present application have at least the following technical effects:
the method comprises the steps of constructing an environment monitoring index library, wherein the environment monitoring index library comprises a plurality of associated index sets; based on a plurality of associated index sets, multidimensional data acquisition is carried out on a target area to obtain a plurality of associated index parameter sets, the plurality of associated index parameter sets are input into an environmental quality analysis model to obtain a plurality of environmental quality indexes, dispersion analysis is carried out on the plurality of environmental quality indexes to obtain index dispersion, and if the index dispersion accords with a preset dispersion threshold value, an average value of the plurality of environmental quality indexes is used as an environmental evaluation result.
The technical effect of carrying out environmental evaluation based on multidimensional data and improving the accuracy of environmental evaluation results is achieved.
Embodiment two:
based on the same inventive concept as the environmental evaluation method based on multi-dimensional data acquisition in the foregoing embodiments, as shown in fig. 4, the present application provides an environmental evaluation system based on multi-dimensional data acquisition, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
the environment monitoring index library construction module 11 is used for constructing an environment monitoring index library, and the environment monitoring index library comprises a plurality of associated index sets;
the associated index parameter set obtaining module 12 is configured to perform multidimensional data collection on the target area based on the plurality of associated index sets, so as to obtain a plurality of associated index parameter sets;
an environmental quality index obtaining module 13, where the environmental quality index obtaining module 13 is configured to input the plurality of associated index parameter sets into an environmental quality analysis model to obtain a plurality of environmental quality indexes;
an index dispersion obtaining module 14, where the index dispersion obtaining module 14 is configured to perform dispersion analysis on the plurality of environmental quality indexes to obtain an index dispersion;
the environmental evaluation result obtaining module 15, where the environmental evaluation result obtaining module 15 is configured to take an average value of a plurality of environmental quality indexes as an environmental evaluation result if the index dispersion meets a preset dispersion threshold.
Further, the environmental monitoring index base construction module 11 is further configured to perform the following steps:
acquiring environmental monitoring indexes based on big data;
performing cluster analysis on the environment monitoring indexes to obtain a plurality of monitoring index sets;
performing environment quality association analysis on the monitoring indexes in the plurality of monitoring index sets in sequence to obtain a plurality of association index sets, wherein the plurality of association index sets have environment type identifiers;
and constructing the environment monitoring index library by the environment type identifier and the plurality of associated index sets.
Further, the environmental monitoring index base construction module 11 is further configured to perform the following steps:
acquiring a first historical environmental quality record;
extracting a first monitoring index in a first monitoring index set;
extracting first historical environmental quality data and historical first monitoring index data according to the first monitoring index and the first historical environmental quality record;
calculating the unit mass change rate of the first historical environmental quality data and the unit index change rate of the historical first monitoring index data;
calculating the absolute value of the difference between the unit mass change rate and the unit index change rate;
judging whether the absolute value of the difference value meets a preset difference value, if so, adding the first monitoring index corresponding to the historical first monitoring index data to a first association index set;
and continuously acquiring other multiple associated index sets to obtain the multiple associated index sets.
Further, the environmental quality index obtaining module 13 is further configured to perform the following steps:
the environment quality analysis model is constructed, and comprises a plurality of environment quality analysis units which are used for carrying out environment quality analysis on the plurality of associated index parameter sets;
extracting a first associated index set in the plurality of associated index sets, and acquiring a first environment type identifier corresponding to the first associated index set;
acquiring a first environment quality scoring strategy according to the first environment type identifier;
constructing a first environmental quality analysis unit according to the first environmental quality scoring strategy;
and continuously constructing a plurality of other environment quality analysis units to obtain the environment quality analysis model.
Further, the environmental quality index obtaining module 13 is further configured to perform the following steps:
acquiring a first index qualification parameter corresponding to a first association index of the first association index set according to the first environment type identifier;
taking the first index qualified parameter as a central ladder, carrying out ladder division on the first associated index parameter to obtain a parameter ladder division result;
performing stepwise distribution of environmental quality scores according to the stepwise division result to obtain a quality score distribution result;
and acquiring the first environment quality scoring strategy according to the parameter order division result and the quality scoring distribution result.
Further, the system further comprises:
the quality index constraint value setting module is used for setting a quality index constraint value;
the abnormal environment quality index extraction module is used for extracting an abnormal environment quality index of which the environment quality index does not meet the quality index constraint value if the index dispersion does not meet a preset dispersion threshold value, and taking the abnormal environment quality index as the environment evaluation result;
further, the system further comprises:
the environment evaluation result judging module is used for judging whether the environment evaluation result meets a preset environment quality score or not;
the diffusion parameter obtaining module is used for carrying out pollution diffusion analysis according to the target area to obtain a diffusion range and diffusion parameters;
and the diffusion reminding information generation module is used for generating diffusion reminding information according to the diffusion range and the diffusion parameter.
It should be noted that the sequence of the embodiments of the present application is merely for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.
The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims (4)

1. An environmental evaluation method based on multidimensional data acquisition, the method comprising:
acquiring a plurality of environment monitoring indexes, taking the environment monitoring indexes as construction data, and constructing an environment monitoring index library, wherein the environment monitoring index library comprises a plurality of associated index sets;
based on the plurality of associated index sets, performing multidimensional data acquisition on the target area, wherein the multidimensional data comprise monitoring data of atmospheric dimension, monitoring data of soil dimension and monitoring data of water body dimension, and a plurality of associated index parameter sets are obtained;
inputting the plurality of associated index parameter sets into an environmental quality analysis model to obtain a plurality of environmental quality indexes;
performing dispersion analysis on the plurality of environmental quality indexes to obtain index dispersion;
if the index dispersion accords with a preset dispersion threshold value, taking the average value of the plurality of environment quality indexes as an environment evaluation result;
wherein: the construction of the environment monitoring index library comprises the following steps:
acquiring a plurality of environment monitoring indexes based on big data;
performing cluster analysis on the environment monitoring indexes to obtain a plurality of monitoring index sets;
performing environment quality association analysis on the monitoring indexes in the plurality of monitoring index sets in sequence to obtain a plurality of association index sets, wherein the plurality of association index sets have environment type identifiers;
the environment type identifier and the plurality of associated index sets are used for constructing the environment monitoring index library;
the environmental quality association analysis is sequentially performed on the monitoring indexes in the plurality of monitoring index sets to obtain a plurality of association index sets, including:
acquiring a first historical environmental quality record;
extracting a first monitoring index in a first monitoring index set;
extracting first historical environmental quality data and historical first monitoring index data according to the first monitoring index and the first historical environmental quality record;
calculating the unit mass change rate of the first historical environmental quality data and the unit index change rate of the historical first monitoring index data;
calculating the absolute value of the difference between the unit mass change rate and the unit index change rate;
namely, the change rates of the historical first monitoring index data and the first historical environmental quality data in unit time are calculated respectively to obtain a unit index change rate and a unit quality change rate, the unit quality change rate is subtracted from the unit index change rate, and the absolute value of the difference value is extracted to be used as the absolute value of the difference value;
judging whether the absolute value of the difference value meets a preset difference value, if so, adding the first monitoring index corresponding to the historical first monitoring index data to a first association index set;
judging whether the absolute difference value meets a preset difference value or not, namely comparing the absolute difference value with the preset difference value, wherein the preset difference value is a difference threshold value, namely the maximum value of the absolute difference value, and adding the first monitoring index corresponding to the historical first monitoring index data to a first association index set when the absolute difference value is smaller than or equal to the preset difference value and the association between the historical first monitoring index data and the first historical environmental quality data is larger;
continuously acquiring other multiple associated index sets to obtain the multiple associated index sets;
the step of inputting the plurality of associated index parameter sets into an environmental quality analysis model to obtain a plurality of environmental quality indexes includes:
the environment quality analysis model is constructed, and comprises a plurality of environment quality analysis units which are used for carrying out environment quality analysis on the plurality of associated index parameter sets;
extracting a first associated index set in the plurality of associated index sets, and acquiring a first environment type identifier corresponding to the first associated index set;
acquiring a first environment quality scoring strategy according to the first environment type identifier;
constructing a first environmental quality analysis unit according to the first environmental quality scoring strategy;
continuously constructing a plurality of other environment quality analysis units to obtain the environment quality analysis model;
the obtaining a first environmental quality scoring policy according to the first environmental type identifier includes:
acquiring a first index qualification parameter corresponding to a first association index of the first association index set according to the first environment type identifier;
taking the first index qualified parameter as a central ladder, carrying out ladder division on the first associated index parameter to obtain a parameter ladder division result;
performing stepwise distribution of environmental quality scores according to the stepwise division result to obtain a quality score distribution result;
and acquiring the first environment quality scoring strategy according to the parameter order division result and the quality scoring distribution result.
2. The method of claim 1, wherein the method further comprises:
setting a quality index constraint value;
and if the index dispersion does not accord with a preset dispersion threshold, extracting an abnormal environment quality index of which the environment quality index does not meet the quality index constraint value, and taking the abnormal environment quality index as the environment evaluation result.
3. The method of claim 1, wherein the method further comprises:
judging whether the environmental evaluation result meets a preset environmental quality score or not;
if the target area is not satisfied, carrying out pollution diffusion analysis according to the target area to obtain a diffusion range and diffusion parameters;
and generating diffusion reminding information according to the diffusion range and the diffusion parameter.
4. An environmental assessment system based on multi-dimensional data acquisition, the system comprising:
the environment monitoring index library construction module is used for constructing an environment monitoring index library, and the environment monitoring index library comprises a plurality of associated index sets;
the associated index parameter set obtaining module is used for carrying out multidimensional data acquisition on the target area based on the plurality of associated index sets to obtain a plurality of associated index parameter sets;
the environment quality index obtaining module is used for inputting the plurality of associated index parameter sets into an environment quality analysis model to obtain a plurality of environment quality indexes;
the index dispersion obtaining module is used for carrying out dispersion analysis on the plurality of environment quality indexes to obtain index dispersion;
the environment evaluation result obtaining module is used for taking the average value of a plurality of environment quality indexes as an environment evaluation result if the index dispersion accords with a preset dispersion threshold value;
wherein: the construction of the environment monitoring index library comprises the following steps:
acquiring a plurality of environment monitoring indexes based on big data;
performing cluster analysis on the environment monitoring indexes to obtain a plurality of monitoring index sets;
performing environment quality association analysis on the monitoring indexes in the plurality of monitoring index sets in sequence to obtain a plurality of association index sets, wherein the plurality of association index sets have environment type identifiers;
the environment type identifier and the plurality of associated index sets are used for constructing the environment monitoring index library;
the environmental quality association analysis is sequentially performed on the monitoring indexes in the plurality of monitoring index sets to obtain a plurality of association index sets, including:
acquiring a first historical environmental quality record;
extracting a first monitoring index in a first monitoring index set;
extracting first historical environmental quality data and historical first monitoring index data according to the first monitoring index and the first historical environmental quality record;
calculating the unit mass change rate of the first historical environmental quality data and the unit index change rate of the historical first monitoring index data;
calculating the absolute value of the difference between the unit mass change rate and the unit index change rate;
namely, the change rates of the historical first monitoring index data and the first historical environmental quality data in unit time are calculated respectively to obtain a unit index change rate and a unit quality change rate, the unit quality change rate is subtracted from the unit index change rate, and the absolute value of the difference value is extracted to be used as the absolute value of the difference value;
judging whether the absolute value of the difference value meets a preset difference value, if so, adding the first monitoring index corresponding to the historical first monitoring index data to a first association index set;
judging whether the absolute difference value meets a preset difference value or not, namely comparing the absolute difference value with the preset difference value, wherein the preset difference value is a difference threshold value, namely the maximum value of the absolute difference value, and adding the first monitoring index corresponding to the historical first monitoring index data to a first association index set when the absolute difference value is smaller than or equal to the preset difference value and the association between the historical first monitoring index data and the first historical environmental quality data is larger;
continuously acquiring other multiple associated index sets to obtain the multiple associated index sets;
the step of inputting the plurality of associated index parameter sets into an environmental quality analysis model to obtain a plurality of environmental quality indexes includes:
the environment quality analysis model is constructed, and comprises a plurality of environment quality analysis units which are used for carrying out environment quality analysis on the plurality of associated index parameter sets;
extracting a first associated index set in the plurality of associated index sets, and acquiring a first environment type identifier corresponding to the first associated index set;
acquiring a first environment quality scoring strategy according to the first environment type identifier;
constructing a first environmental quality analysis unit according to the first environmental quality scoring strategy;
continuously constructing a plurality of other environment quality analysis units to obtain the environment quality analysis model;
the obtaining a first environmental quality scoring policy according to the first environmental type identifier includes:
acquiring a first index qualification parameter corresponding to a first association index of the first association index set according to the first environment type identifier;
taking the first index qualified parameter as a central ladder, carrying out ladder division on the first associated index parameter to obtain a parameter ladder division result;
performing stepwise distribution of environmental quality scores according to the stepwise division result to obtain a quality score distribution result;
and acquiring the first environment quality scoring strategy according to the parameter order division result and the quality scoring distribution result.
CN202310779711.2A 2023-06-29 2023-06-29 Environment evaluation method and system based on multidimensional data acquisition Active CN116645007B (en)

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