CN117094477B - Environment evaluation method and system in rare earth mining process - Google Patents
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Abstract
The invention relates to the field of environmental evaluation, in particular to an environmental evaluation method and system in the rare earth mining process, which are used for collecting various environmental data and rare earth mining data in the rare earth mining process; obtaining preliminary relevance of the environmental data according to the data value change rate of each data point of the environmental data and the rare earth mining data; screening based on the preliminary relevance of various environmental data to obtain various residual environmental data; obtaining the corrected relevance of various residual environmental data according to the data value change rate and the preliminary relevance of various data points of the residual environmental data and the adjacent data points; obtaining an environmental evaluation value at the current moment according to the corrected relevance of various residual environmental data and the characteristics of various residual environmental data; and finishing the environmental evaluation in the rare earth mining process through the environmental evaluation value at the current moment. The invention improves the efficiency and the precision of environmental evaluation.
Description
Technical Field
The application relates to the field of environmental evaluation, in particular to an environmental evaluation method and system in a rare earth mining process.
Background
Rare earth mineral resources are non-renewable resources and have wide application in the fields of mechanical manufacture, petrochemical industry, agriculture, forestry, animal husbandry, aerospace, military technology and the like. The mining scale of the rare earth mining area is enlarged due to the continuous increase of the demand of the rare earth resources. And the improper exploitation mode can cause numerous environmental problems such as water pollution, vegetation destruction, water and soil loss and the like in the rare earth mine area.
The traditional mine environment monitoring generally adopts a mode of dynamic inspection of homeland resources to find problems, because the exploitation of rare earth mining areas is scattered, the occupied area is large, and if the mining area exploitation and the ecological environment problems are to be comprehensively investigated, the traditional method has poor timeliness, long period and low efficiency.
In summary, the invention provides an environmental evaluation method and system in the rare earth mining process, which constructs the environmental evaluation value at the current moment by collecting and analyzing the environmental data in the rare earth mining process and the change relation between the rare earth mining data, and completes the environmental evaluation in the rare earth mining process.
Disclosure of Invention
In order to solve the technical problems, the invention provides an environment evaluation method and system in the rare earth mining process, and the adopted technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides a method for evaluating an environment in a rare earth mining process, the method including the steps of:
collecting various environmental data and rare earth mining data in the rare earth mining process;
for various environmental data, calculating the data value change rate of each data point of the environmental data, and acquiring the data value change rate of each data point of the rare earth mining data; obtaining preliminary relevance of the environmental data according to the data value change rate of each data point of the environmental data and the rare earth mining data; screening based on the preliminary relevance of various environmental data to obtain various residual environmental data;
for various residual environment data, obtaining the possibility of hysteresis points of all data points according to the data value change rate of all data points and adjacent data points of the residual environment data; acquiring a hysteresis point in the residual environment data according to the hysteresis point possibility of each data point of the residual environment data; obtaining correction factors of the residual environmental data according to the possibility of the hysteresis points of the residual environmental data; obtaining the corrected relevance of the residual environmental data according to the correction factors and the preliminary relevance of the residual environmental data; obtaining an environmental evaluation value at the current moment according to the corrected relevance of various residual environmental data and the characteristics of various residual environmental data; and finishing the environmental evaluation in the rare earth mining process through the environmental evaluation value at the current moment.
Preferably, the calculating the data value change rate of each data point of the environmental data includes:
for each data point of the environmental data, calculating the absolute value of the difference between the data point and the data value of the adjacent data point at the next moment, and taking the ratio of the absolute value of the difference to the data value of the data point as the change rate of the data value of the data point.
Preferably, the obtaining the preliminary relevance of the environmental data according to the data value change rate of each data point of the environmental data and the rare earth mine exploitation data includes:
acquiring pearson correlation coefficients of environment data and rare earth mining data;
for each data point, calculating the absolute value of the difference value of the data value change rate of the corresponding data point in the environmental data and the rare earth mining data, taking the opposite number of the ratio of the absolute value of the difference value to the moment value of the data point as an index of an exponential function taking a natural constant as a base, and taking the product of the sum value of the exponential function of all the data points and the absolute value of the pearson correlation coefficient as the preliminary correlation of the environmental data.
Preferably, the filtering based on the preliminary relevance of the various environmental data to obtain various residual environmental data includes:
and for various residual environment data, reserving the residual environment data with the preliminary relevance being greater than or equal to the relevance judging threshold value, and removing the residual environment data with the preliminary relevance being smaller than the relevance judging threshold value to obtain various screened residual environment data.
Preferably, the obtaining the possibility of hysteresis points of each data point according to the change rate of the data value of each data point and the adjacent data points of the remaining environmental data includes:
for each data point of the rest environment data, acquiring the data point and the data value change rate of the data point at the next moment adjacent to the data point at the previous moment, the next moment and the next moment;
the absolute difference values of the data value change rates of the data points at the previous moment and the data points at the later moment are respectively recorded as a first absolute difference value and a second absolute difference value, and the absolute difference values of the data value change rates of the data points at the later moment and the data points at the next moment are recorded as a third absolute difference value; and taking the ratio of the difference absolute value of the first difference absolute value and the second difference absolute value to the third difference absolute value as the hysteresis point possibility of the data point.
Preferably, the acquiring the hysteresis points in the remaining environmental data according to the hysteresis point probability of each data point of the remaining environmental data includes:
and marking the data points with the possibility of the hysteresis point being more than or equal to the hysteresis point judgment threshold value as hysteresis points for each data point of the rest environment data.
Preferably, the obtaining the correction factor of the remaining environmental data according to the possibility of the hysteresis point of each hysteresis point of the remaining environmental data includes:
acquiring the number of hysteresis points of the residual environmental data;
calculating the sum of the ratios of the possibility of the hysteresis points of all the hysteresis points of the residual environmental data and the time value of the hysteresis points, and taking the product of the sum and the number of the hysteresis points as a correction factor of the residual environmental data.
Preferably, the obtaining the corrected relevance of the remaining environmental data according to the correction factor and the preliminary relevance of the remaining environmental data includes:
and taking the normalized value of the ratio of the preliminary relevance of the residual environment data to the correction factor as the relevance of the residual environment data after correction.
Preferably, the obtaining the environmental evaluation value at the current moment according to the corrected relevance of the various residual environmental data and the various residual environmental data features includes:
for various residual environment data, calculating the absolute value of the difference between the current time data value of the residual environment data and the mining starting time data value, and calculating the ratio of the product of the correlation between the absolute value of the difference and the corrected residual environment data to the mining time data value of the residual environment data;
and taking the sum of the ratios of all the remaining environmental data and the opposite value as an index of an exponential function based on a natural constant, and taking the exponential function as an environmental evaluation value at the current moment.
In a second aspect, an embodiment of the present invention further provides an environmental assessment system in a rare earth mining process, including a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor implements the steps of any one of the methods described above when the processor executes the computer program.
The invention has at least the following beneficial effects:
according to the invention, various environmental data of rare earth mining and rare earth mining data are subjected to preliminary correlation analysis, the environmental data greatly influenced by the rare earth mining are screened out and further analyzed, the analysis of useless data is reduced, and the efficiency of environmental evaluation is improved;
meanwhile, interference caused by correlation between environment data is further analyzed, a hysteresis point is determined through hysteresis of influence between the environment data, a correction factor for constructing the correlation based on the hysteresis point is used for correcting the preliminary correlation, the environment is evaluated through the corrected correlation, and the evaluation precision is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an environmental assessment method in a rare earth mining process provided by the invention;
fig. 2 is an environmental evaluation value extraction schematic diagram.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following detailed description refers to the specific implementation, structure, characteristics and effects of the environmental evaluation method and system in the rare earth mining process according to the invention with reference to the accompanying drawings and the preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of an environmental evaluation method and system in the rare earth mining process provided by the invention with reference to the accompanying drawings.
The embodiment of the invention provides an environment evaluation method and system in a rare earth mining process.
Specifically, a method for evaluating environment in a rare earth mining process is provided, referring to fig. 1, the method comprises the following steps:
and S001, collecting environment data and rare earth ore exploitation data in the rare earth ore exploitation process.
According to the method, the environment in the process of mining the rare earth ore is evaluated through environment evaluation, the environment is greatly disturbed and destroyed when the rare earth ore is mined, so that the environment in the process of mining needs to be evaluated, and when the environment evaluation value is low, mining is stopped or the environment is timely repaired, so that the damage of the rare earth ore to the environment is reduced.
The embodiment collects various environmental data in the rare earth mining process, and the category and the collection method of the collected environmental data specifically comprise the following steps: collecting water pollution data such as concentration data of heavy metals, chemical substances and nutrient substances in a rare earth mining area by using an automatic water quality monitoring station; collecting the concentration data of pollutants such as heavy metals in soil by using a soil detection instrument; collecting concentration data of pollutants such as particulate matters, sulfur dioxide, nitrogen oxides and the like in the atmosphere through an atmosphere quality monitoring station; obtaining an NDVI image of a rare earth mining area through an aerial photography hyperspectral technology, and summing all NDVI values of the NDVI image to roughly represent biomass information, wherein the NDVI can better reflect the coverage, biomass and leaf area index change of grasslands and has better correlation with the existing net primary biomass on the ground; and obtaining the types and corresponding quantity data of the microorganisms through a soil sampling analysis method. And then acquiring weight data of the output materials mined by the rare earth ore to obtain rare earth ore mining data, wherein the data can be acquired by adopting a weighing sensor. The method for obtaining the NDVI image by the aerial photography hyperspectral technology and the soil sampling analysis method are all known techniques, and are not described in detail in this embodiment.
Therefore, various environmental data and rare earth mining data in the rare earth mining process can be obtained through the method, and the analysis and evaluation of the environment in the rare earth mining process are facilitated.
And step S002, constructing an environmental evaluation value at the current moment according to the change characteristics of the data points in the rare earth mining data and the various environmental data.
According to the steps, various environmental data and rare earth mining data in the rare earth mining process are obtained, and according to priori knowledge, the rare earth mining is a continuous process, and comprehensive environmental data investigation is often carried out before the rare earth mining, so that the obtained data is time sequence data. Wherein, the abscissa of the rare earth mining data is time, and the ordinate is rare earth mining yield.
Therefore, the embodiment evaluates the environment through the change of various environmental data in the rare earth mining process. Because the rare earth mining process can cause great damage to the environment, and certain relevance often exists among various environmental data, when the environment is directly evaluated, the environment data change cannot be distinguished whether the environment data is abnormal due to direct influence of the rare earth mining or the environment data is abnormal due to indirect influence of the rare earth mining. And further, the environmental evaluation efficiency and the accuracy of rare earth mining are lower.
Therefore, in the embodiment, various environmental data are analyzed first, and the correlation between the environmental data and the rare earth mining data is primarily obtained, for example, when the pollution degree concentration of the nitrogen oxides is too high, the variety and the number of microorganisms are increased. However, when the concentration of the contaminants is too high, the kinds and the number of plants are rather decreased.
And for the change condition of various environmental data caused by influence, the change condition is reflected in the environmental data as the change degree between each data point and the adjacent data points, namely, the change rate of each data point can be calculated to represent the influence condition of the data points caused by external factors such as rare earth mining data or other environments, and the change rate of the data value of the data point i in the environmental data Q is calculated by taking the environmental data Q as an example:
；
in the formula (i),data value change rate representing the ith data point in the environmental data Q, +.>Data value representing the ith data point in the ambient data Q,/->A data value representing the i+1st data point in the environmental data Q.
When (when)Relative to->The greater the change, the faster the rate of change of the data value of the data point at that time, i.e., the more likely the data point is to be affected by factors such as mining or other circumstances.
By combining the data value change rate of each data point in the environmental data Q and the rare earth mining data and the similarity change degree between the two groups of data, the preliminary relevance of the environmental data Q and the rare earth mining data can be obtained:
；
in the formula (i),for the preliminary correlation of the environmental data Q with the rare earth mining data, < >>For the pearson correlation coefficient between the environmental data Q and the rare earth mining data, ++>Number of data points representing the environmental data Q +.>Is an exponential function based on a natural constant e, +.>Data value change rate representing the ith data point in the environmental data Q, +.>Data value change rate representing the ith data point in rare earth mining data, +.>Indicating the i-th time value.
The larger the environmental data Q is, the more the environmental data Q changes, namely the larger the correlation between the environmental data Q and the rare earth mining data is; the smaller the moment value i is, the larger the weight corresponding to the moment value i is at the initial stage of exploitation; />The smaller the difference, the larger the preliminary correlation, which means that the effect of the environmental data Q on the exploitation of the rare earth ore is larger, and the data gradually changes with the increase of the exploitation of the rare earth ore.
In this embodiment, a relevance judgment threshold value of 0.8 is set, preliminary relevance corresponding to various environmental data is judged, when the preliminary relevance is greater than or equal to the relevance judgment threshold value, the environmental data is greatly affected by rare earth mining, the environmental data is reserved for subsequent analysis and evaluation, and otherwise, the environmental data is not subjected to subsequent analysis. And marking the reserved various environmental data as various residual environmental data. The relevance determination threshold set in this embodiment is an empirical value, and the practitioner can set the relevance determination threshold by himself.
According to the above steps, analysis of environmental data affected by the rare earth ore is completed, and further analysis is performed on the screened N types of residual environmental data, wherein the residual environmental data Q is taken as an example, and the residual environmental data Q is assumed to be the environmental data which is remained after screening.
For the residual environmental data Q and the residual environmental data W, when there is a correlation between the residual environmental data Q and the residual environmental data W, there is a certain hysteresis due to the influence between the residual environmental data, for example, when the concentration of the contaminant is too high, the kind and the number of the plants do not drop immediately, but start to drop after a period of time, that is, there is a certain hysteresis between the residual environmental data.
Based on this, the change condition of the remaining environmental data Q can be further analyzed to obtain a hysteresis point, taking any data point Q of the remaining environmental data Q as an example, assuming that the adjacent data point at the previous time of the data point Q is a, the adjacent data point at the next time is b, and the adjacent data point after the b is c, thereby calculating the possibility of the hysteresis point of the data point Q in the remaining environmental data Q according to the distribution condition of the data points around the data point Q:
；
in the formula (i),for the lag point probability of data point Q in the remaining environmental data Q, < >>Respectively represent the rate of change of the data values of the data points Q, a, b, c in the remaining environmental data Q, and (2)>Is a very small positive number, the prevention denominator is 0, the example value is 0.001, wherein +_>Is the absolute value of the first difference->Is the absolute value of the second difference value,is the third absolute value of the difference.
MoleculesThe larger the difference, the greater the local rate variability at point q, the greater the likelihood that the data point is a lag point; />The smaller the local rate variability of the data point after mutation is, the larger the probability that the data point is the same type of data point is, namely the larger the probability that the q point of the data point is a hysteresis point is, the larger the fluctuation of the data value change rate of the q point local is, namely the larger the probability that the time of the q point is interfered by the other type of residual environmental data is, namely the larger the probability that the q point is the hysteresis point is.
In this embodiment, the hysteresis point determination threshold is set to 0.75, and when the hysteresis point probability of a data point is greater than or equal to the hysteresis point determination threshold, the data point is the hysteresis point. The hysteresis point judgment threshold set in the embodiment is an empirical value, and can be set by an operator.
According to all the lag points in the residual environment data Q, when the lag points are at the early mining time, the influence of the early mining time on the residual environment data is less obvious, and the later influence is more obvious; meanwhile, in the period of mining, the number of the hysteresis points is not likely to be large, namely the mining is continuous and influences the environmental data, but not intermittently influences the hysteresis points through various factors, so if the number of the hysteresis points is large, the hysteresis points of the residual environmental data are likely to be interference caused by other factors, namely the situation is expressed in the form of an index. The present embodiment assumes that the number of hysteresis points in the remaining environmental data Q isThere is->Thereby calculating a correction factor of the remaining environmental data Q:
；
in the formula (i),correction factor representing remaining ambient data Q +.>For the number of hysteresis points in the remaining environmental data Q, and (2)>Hysteresis point possibility being hysteresis point i, +.>The time corresponding to the lag point i on the environment data Q.
The bigger and the more>The smaller the hysteresis point i is, the larger the hysteresis point i is possibly the hysteresis point, and the larger the hysteresis point is at the initial stage of mining, the larger the corresponding weight is; meanwhile, the more the number of hysteresis points in the residual environmental data Q, the more likely the residual environmental data Q is influenced by other environmental factors or other external factors, namely, the larger the correction factor is, the less the residual environmental data is influenced by the rare earth mining process.
According to the calculation, the preliminary relevance of the rare earth mining data can be corrected through the correction factors constructed by the residual environmental data Q:
；
in the formula (i),for the corrected relevance +.>For normalization function->For preliminary correlation of the remaining environmental data Q with rare earth mining data, < >>Is a correction factor for the remaining environmental data Q.
The larger the correction factor is, the more the data is affected, and the smaller the corresponding corrected relevance is.
According to the steps, the screened various residual environment data are analyzed, the corrected relevance of the various residual environment data can be obtained, the greater the corrected relevance is, the greater the influence of the residual environment data on the exploitation of the rare earth ore is, the greater the corresponding weight of the residual environment data is when the subsequent environment evaluation is carried out, the smaller the corrected relevance is, the smaller the influence of the residual environment data on the exploitation of the rare earth ore is, and the smaller the corresponding weight of the residual environment data is when the subsequent environment evaluation is carried out.
The environmental evaluation value at the current time may be constructed based on the corrected relevance corresponding to the remaining environmental data and the remaining environmental data features:
；
in the formula (i),for the environmental evaluation value at the present moment, +.>For the number of the remaining environmental data to be screened out,indicating the corrected relevance of the i-th class of remaining environment data,/for the data>For the current time data value in the i-th class of remaining environment data,/>Is the data value of the starting moment of the i-th class of remaining environment data.
When (when)The larger the difference of the data value relative to the mining moment is, the larger the difference of the change between the data value of the residual environmental data at the current moment and the data value of the residual environmental data at the mining moment is, namely the larger the residual environmental data is influenced by the mining of the rare earth ore, the smaller the environmental evaluation value is; meanwhile, based on the fact that the degree of correlation between the residual environment data and the rare earth ore exploitation data is larger, namely the residual environment data is more similar to the rare earth ore exploitation data, namely the influence caused by the rare earth ore exploitation is more likely to happen, the change trend of the residual environment data and the rare earth ore exploitation data is more consistent, the environment evaluation value is smaller, and the current rare earth ore exploitation is illustratedThe greater the impact on the environment, the poorer the environmental quality. The environment evaluation value extraction schematic diagram is shown in fig. 2.
And S003, completing the environmental evaluation of the rare earth mine in the mining process by the environmental evaluation value at the current moment.
Setting an environment evaluation threshold, if the environment evaluation value at the current moment is smaller than or equal to the set environment evaluation threshold, the current rare earth mining has a large influence on the environment, the environment quality is poor, and the mining needs to be stopped and corresponding staff needs to be informed to remedy, so that pollution is reduced. In this embodiment, the environmental evaluation threshold is set to be 0.5 as an empirical value, and the operator can set the environmental evaluation threshold by himself.
Thus, the environmental evaluation in the rare earth mining process is completed.
Based on the same inventive concept as the method, the embodiment of the invention also provides an environment evaluation system in the rare earth mining process, which comprises a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to realize the steps of any one of the method in the rare earth mining process.
In summary, the embodiment of the invention provides an environmental evaluation method and system in the rare earth mining process, which constructs the environmental evaluation value at the current moment by collecting and analyzing the environmental data in the rare earth mining process and the change relation between the rare earth mining data, and completes the environmental evaluation in the rare earth mining process.
According to the embodiment of the invention, various environmental data of rare earth ore exploitation and rare earth ore exploitation data are subjected to preliminary correlation analysis, the environmental data greatly influenced by the rare earth ore exploitation are screened out and further analyzed, the analysis of useless data is reduced, and the efficiency of environmental evaluation is improved;
meanwhile, interference caused by correlation between environment data is further analyzed, a hysteresis point is determined through hysteresis of influence between the environment data, a correction factor for constructing the correlation based on the hysteresis point is used for correcting the preliminary correlation, the environment is evaluated through the corrected correlation, and the evaluation precision is improved.
It should be noted that: the sequence of the embodiments of the present invention is only 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. 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.
In this specification, each embodiment is described in a progressive manner, and the same or similar parts of each embodiment are referred to each other, and each embodiment mainly describes differences from other embodiments.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; the technical solutions described in the foregoing embodiments are modified or some of the technical features are replaced equivalently, so that the essence of the corresponding technical solutions does not deviate from the scope of the technical solutions of the embodiments of the present application, and all the technical solutions are included in the protection scope of the present application.
Claims (5)
1. A method for environmental assessment in a rare earth mining process, the method comprising the steps of:
collecting various environmental data and rare earth mining data in the rare earth mining process;
for various environmental data, calculating the data value change rate of each data point of the environmental data, and acquiring the data value change rate of each data point of the rare earth mining data; obtaining preliminary relevance of the environmental data according to the data value change rate of each data point of the environmental data and the data value change rate of each data point of the rare earth mining data; screening based on the preliminary relevance of various environmental data to obtain various residual environmental data; for various residual environment data, obtaining the possibility of hysteresis points of all data points according to the data value change rate of all data points and adjacent data points of the residual environment data; acquiring a hysteresis point in the residual environment data according to the hysteresis point possibility of each data point of the residual environment data; obtaining correction factors of the residual environmental data according to the possibility of the hysteresis points of the residual environmental data; obtaining the corrected relevance of the residual environmental data according to the correction factors and the preliminary relevance of the residual environmental data; obtaining an environmental evaluation value at the current moment according to the corrected relevance of various residual environmental data and the characteristics of various residual environmental data; the environmental evaluation in the rare earth mining process is completed through the environmental evaluation value at the current moment;
the obtaining the possibility of hysteresis points of the data points according to the change rate of the data values of the data points of the residual environment data and the adjacent data points comprises the following steps:
for each data point of the rest environment data, acquiring the data point and the data value change rate of the data point at the next moment adjacent to the data point at the previous moment, the next moment and the next moment;
the absolute values of the differences of the data value change rates of the data points at the previous moment and the data points at the later moment are respectively recorded as a first absolute value of the difference and a second absolute value of the difference, and the absolute values of the differences of the data value change rates of the data points at the later moment and the data points at the next moment are recorded as a third absolute value of the difference; taking the ratio of the difference absolute value of the first difference absolute value and the second difference absolute value to the third difference absolute value as the hysteresis point possibility of the data point;
the obtaining the hysteresis points in the residual environment data according to the hysteresis point possibility of each data point of the residual environment data comprises the following steps:
for each data point of the rest environment data, marking the data point with the possibility of the hysteresis point being more than or equal to the hysteresis point judgment threshold value as a hysteresis point;
the method for obtaining the correction factors of the residual environment data according to the possibility of the hysteresis points of the residual environment data comprises the following steps:
acquiring the number of hysteresis points of the residual environmental data;
calculating the sum of the ratios of the possibility of the hysteresis points of all the hysteresis points of the residual environmental data and the time value of the hysteresis points, and taking the product of the sum and the number of the hysteresis points as a correction factor of the residual environmental data;
the obtaining the corrected relevance of the residual environmental data according to the correction factors and the preliminary relevance of the residual environmental data comprises the following steps:
taking the normalized value of the ratio of the preliminary relevance of the residual environmental data to the correction factor as the relevance of the corrected residual environmental data;
the obtaining the environmental evaluation value at the current moment according to the corrected relevance of various residual environmental data and various residual environmental data characteristics comprises the following steps:
for various residual environment data, calculating the absolute value of the difference between the current time data value of the residual environment data and the mining starting time data value, and calculating the ratio of the product of the correlation between the absolute value of the difference and the corrected residual environment data to the mining time data value of the residual environment data;
and taking the sum of the ratios of all the remaining environmental data and the opposite value as an index of an exponential function based on a natural constant, and taking the exponential function as an environmental evaluation value at the current moment.
2. The method of claim 1, wherein calculating a rate of change of data values for each data point of the environmental data comprises:
for each data point of the environmental data, calculating the absolute value of the difference between the data point and the data value of the adjacent data point at the next moment, and taking the ratio of the absolute value of the difference to the data value of the data point as the change rate of the data value of the data point.
3. The method for environmental assessment in a rare earth mining process according to claim 1, wherein the obtaining the preliminary correlation of the environmental data according to the data value change rate of each data point of the environmental data and the data value change rate of each data point of the rare earth mining data comprises:
acquiring pearson correlation coefficients of environment data and rare earth mining data;
for each data point, calculating the absolute value of the difference value of the data value change rate of the corresponding data point in the environmental data and the rare earth mining data, taking the opposite number of the ratio of the absolute value of the difference value to the moment value of the data point as an index of an exponential function taking a natural constant as a base, and taking the product of the sum value of the exponential function of all the data points and the absolute value of the pearson correlation coefficient as the preliminary correlation of the environmental data.
4. The method for environmental assessment in a rare earth mining process according to claim 3, wherein the screening based on the preliminary relevance of the various environmental data to obtain various residual environmental data comprises:
and for various residual environment data, reserving the residual environment data with the preliminary relevance being greater than or equal to the relevance judging threshold value, and removing the residual environment data with the preliminary relevance being smaller than the relevance judging threshold value to obtain various screened residual environment data.
5. An environmental assessment system in a rare earth mining process, comprising a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the method according to any one of claims 1-4 when the computer program is executed by the processor.
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