Environmental pollution assessment method, device and system

Abstract

The present invention provides an environmental pollution evaluation method, evaluation device and evaluation system, the evaluation method comprising: determining equipment operation parameters with a common sampling frequency in a historical period as equipment operation data, and determining environmental monitoring parameters with a common sampling frequency in a historical period as environmental monitoring data; performing correlation analysis on equipment operation data and environmental monitoring data to obtain a correlation formula between equipment operation parameters and environmental monitoring parameters; substituting the equipment operation parameters collected in real time into the correlation formula to obtain the corresponding values ​​of environmental monitoring parameters, and evaluating environmental pollution through the values ​​of environmental monitoring parameters. Through the evaluation method provided by the present invention, it is possible to use equipment operation parameters to quantitatively evaluate environmental pollution, quickly determine the source of environmental pollution, and the evaluation result is more objective and accurate, which is convenient for processing pollution sources and pollution points, and provides targeted support for environmental supervision.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to an environmental pollution assessment method, an environmental pollution assessment device and an environmental pollution assessment system. Background Art

[0002] With the acceleration of urbanization and industrialization, the environment has been seriously polluted and damaged, which has seriously affected people's quality of life. Especially in the industrial production industry, equipment problems in industrial devices are an important factor leading to industrial pollution.

[0003] In the existing technology, environmental pollution is usually evaluated based on human subjective judgment, such as judging environmental pollution through manual inspections in the factory area, or setting up monitoring equipment in the factory area and monitoring environmental pollution through wireless remote sensing technology. However, this method relies on human subjective judgment, and the evaluation results lack accuracy and rationality. Summary of the invention

[0004] In view of the technical problem that the environmental pollution evaluation results in the prior art lack accuracy and rationality, the present invention provides an environmental pollution evaluation method, an environmental pollution evaluation device and an environmental pollution evaluation system. The environmental pollution evaluation method can be used to quantitatively evaluate environmental pollution according to equipment operating parameters, and the source of environmental pollution can be quickly determined. The evaluation results are more objective and accurate, which is convenient for handling pollution sources and pollution points, preventing further spread of pollution, and providing targeted support for environmental supervision.

[0005] To achieve the above-mentioned objectives, the first aspect of the present invention provides an environmental pollution evaluation method, which includes: determining equipment operating parameters with a common sampling frequency within a historical period of time as equipment operating data, and determining environmental monitoring parameters with a common sampling frequency within the historical period of time as environmental monitoring data; performing correlation analysis on the equipment operating data and the environmental monitoring data to obtain a correlation formula between the equipment operating parameters and the environmental monitoring parameters; substituting the equipment operating parameters collected in real time into the correlation formula to obtain the corresponding numerical values ​​of the environmental monitoring parameters, and evaluating environmental pollution through the numerical values ​​of the environmental monitoring parameters.

[0006] Furthermore, the common sampling frequency is determined in the following manner: determining the data sampling frequency of all device operating parameters and the data sampling frequency of all environmental monitoring parameters within the historical time period; and taking the common multiple of the data sampling frequency of the device operating parameters and the data sampling frequency of the environmental monitoring parameters as the common sampling frequency.

[0007] Furthermore, the correlation analysis of the equipment operation data and the environmental monitoring data to obtain the correlation formula between the equipment operation parameters and the environmental monitoring parameters includes: performing time domain-frequency domain transformation on the equipment operation parameters and the environmental monitoring parameters having a common sampling frequency respectively to obtain the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; determining the common characteristic frequency of the equipment operation parameters and the environmental monitoring parameters according to the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; performing correlation fitting on the equipment operation parameters and the environmental monitoring parameters having the common characteristic frequency; performing polynomial fitting on the equipment operation parameters and the environmental monitoring parameters having the common sampling frequency according to the result of the correlation fitting to obtain the correlation formula between the equipment operation parameters and the environmental monitoring parameters.

[0008] Furthermore, determining the common characteristic frequency of the device operating parameters and the environmental monitoring parameters based on the characteristic frequency of the device operating parameters and the characteristic frequency of the environmental monitoring parameters includes: determining the common characteristic frequency of the device operating parameters and the environmental monitoring parameters based on the ratio of the characteristic frequency of the device operating parameters to the characteristic frequency of the environmental monitoring parameters.

[0009] Furthermore, the correlation fitting of the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency includes: respectively performing temperature correction on the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency; and performing correlation fitting on the temperature-corrected equipment operating parameters and environmental monitoring parameters having a common characteristic frequency.

[0010] Furthermore, the correlation fitting of the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction includes: using a Spearman correlation analysis method or a Pearson correlation analysis method to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction to determine the degree of linear correlation between the equipment operating parameters and the environmental monitoring parameters; or using a maximum information coefficient correlation analysis method to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction to determine the degree of nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters.

[0011] Further, the result of the correlation fitting includes: a linear correlation between the equipment operating parameters and the environmental monitoring parameters, or a nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters; performing polynomial fitting on the equipment operating parameters and the environmental monitoring parameters having a common sampling frequency according to the result of the correlation fitting to obtain the correlation formula includes: in the case of a linear correlation between the equipment operating parameters and the environmental monitoring parameters, using the following formula for polynomial fitting:

[0012]

[0013] Where x is the sequence of equipment operating parameters with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n ), y is a series of environmental monitoring parameters with a common sampling frequency (y 1 ,y 2 ,y 3 ,···,y n ); using the undetermined coefficient method to find the intercept b; obtaining the correlation formula:

[0014] y = k × x + b;

[0015] In the case of a nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters, the following formula is used for polynomial fitting:

[0016]

[0017] Where x is the sequence of equipment operating parameters with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n ), y is the series of equipment operating parameters with a common sampling frequency (y 1 ,y 2 ,y 3 ,···,y n );Get the correlation formula:

[0018] y=a 0 +a 1 x+a 2 x 2 +a 2 x k .

[0019] The second aspect of the present invention provides an environmental pollution assessment device, which includes: a determination module, used to determine equipment operating parameters with a common sampling frequency within a historical period of time as equipment operating data, and to determine environmental monitoring parameters with a common sampling frequency within the historical period of time as environmental monitoring data; a correlation analysis module, used to perform correlation analysis on the equipment operating data and the environmental monitoring data to obtain a correlation formula between the equipment operating parameters and the environmental monitoring parameters; an environmental pollution assessment module, used to substitute the equipment operating parameters collected in real time into the correlation formula to obtain the corresponding values ​​of the environmental monitoring parameters, and evaluate environmental pollution through the values ​​of the environmental monitoring parameters.

[0020] Furthermore, the common sampling frequency is determined in the following manner: determining the data sampling frequency of all device operating parameters and the data sampling frequency of all environmental monitoring parameters within the historical time period; and taking the common multiple of the data sampling frequency of the device operating parameters and the data sampling frequency of the environmental monitoring parameters as the common sampling frequency.

[0021] Furthermore, the correlation analysis of the equipment operation data and the environmental monitoring data to obtain the correlation formula between the equipment operation parameters and the environmental monitoring parameters includes: performing time domain-frequency domain transformation on the equipment operation parameters and the environmental monitoring parameters having a common sampling frequency respectively to obtain the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; determining the common characteristic frequency of the equipment operation parameters and the environmental monitoring parameters according to the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; performing correlation fitting on the equipment operation parameters and the environmental monitoring parameters having the common characteristic frequency; performing polynomial fitting on the equipment operation parameters and the environmental monitoring parameters having the common sampling frequency according to the result of the correlation fitting to obtain the correlation formula between the equipment operation parameters and the environmental monitoring parameters.

[0022] Furthermore, determining the common characteristic frequency of the device operating parameters and the environmental monitoring parameters based on the characteristic frequency of the device operating parameters and the characteristic frequency of the environmental monitoring parameters includes: determining the common characteristic frequency of the device operating parameters and the environmental monitoring parameters based on the ratio of the characteristic frequency of the device operating parameters to the characteristic frequency of the environmental monitoring parameters.

[0023] Furthermore, the correlation fitting of the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency includes: respectively performing temperature correction on the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency; and performing correlation fitting on the temperature-corrected equipment operating parameters and environmental monitoring parameters having a common characteristic frequency.

[0024] Furthermore, the correlation fitting of the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction includes: using a Spearman correlation analysis method or a Pearson correlation analysis method to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction to determine the degree of linear correlation between the equipment operating parameters and the environmental monitoring parameters; or using a maximum information coefficient correlation analysis method to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction to determine the degree of nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters.

[0025] Further, the result of the correlation fitting includes: a linear correlation between the equipment operating parameters and the environmental monitoring parameters, or a nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters; performing polynomial fitting on the equipment operating parameters and the environmental monitoring parameters having a common sampling frequency according to the result of the correlation fitting to obtain the correlation formula includes: in the case of a linear correlation between the equipment operating parameters and the environmental monitoring parameters, using the following formula for polynomial fitting:

[0026]

[0027] Where x is the sequence of equipment operating parameters with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n ), y is a series of environmental monitoring parameters with a common sampling frequency (y 1 ,y 2 ,y 3 ,···,y n ); using the undetermined coefficient method to find the intercept b; obtaining the correlation formula:

[0028] y = k × x + b;

[0029] In the case of a nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters, the following formula is used for polynomial fitting:

[0030]

[0031] Where x is the sequence of equipment operating parameters with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n ), y is the series of equipment operating parameters with a common sampling frequency (y 1 ,y 2 ,y3 ,···,y n );Get the correlation formula:

[0032] y=a 0 +a 1 x+a 2 x 2 +a 2 x k .

[0033] The third aspect of the present invention provides an environmental pollution assessment system, which includes: a distributed control system connected to a network, for collecting equipment operating parameters in real time; an environmental pollution assessment device as described in any one of claims 8 to 14 connected to the network, and an environmental pollution assessment module of the environmental pollution assessment device obtains the equipment operating parameters collected in real time through the network.

[0034] A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored thereon, which, when executed on a computer, enables the computer to execute the environmental pollution assessment method as described in any one of claims 1 to 7.

[0035] Through the technical solution provided by the present invention, the present invention has at least the following technical effects:

[0036] By adopting the environmental pollution evaluation method of the present invention, the equipment operation parameters with a common sampling frequency within a historical period of time are used as equipment operation data, and the environmental monitoring parameters with a common sampling frequency within a historical period of time are determined as environmental monitoring data. By performing correlation analysis on the equipment operation data and the environmental monitoring data, the corresponding relationship between the equipment operation data and the environmental monitoring data is determined, and then the degree of environmental pollution can be determined based on the equipment operation parameters collected in real time, the environmental pollution can be quantitatively evaluated, and the source of environmental pollution can be quickly determined. The evaluation result is more objective and accurate, which is convenient for processing the pollution source and pollution point, preventing the pollution from further spreading, and providing targeted support for environmental supervision.

[0037] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A flow chart of an environmental pollution assessment method provided by an embodiment of the present invention;

[0039] Figure 2 A schematic diagram of an environmental pollution assessment device provided by an embodiment of the present invention;

[0040] Figure 3 A schematic diagram of an environmental pollution assessment system provided by an embodiment of the present invention.

[0041] Description of Reference Numerals

[0042] 201-determination module, 202-correlation analysis module, 203-environmental pollution evaluation module, 301-distributed control system, 302-environmental pollution evaluation device. DETAILED DESCRIPTION

[0043] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0044] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0045] In the present invention, unless otherwise specified, directional words such as "up, down, top, bottom" are usually used with reference to the directions shown in the drawings or are used to describe the relative positional relationships of components in the vertical, perpendicular or gravity direction.

[0046] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0047] Please refer to Figure 1 An embodiment of the present invention provides an environmental pollution evaluation method, which includes the following steps: S101: determining device operation parameters with a common sampling frequency within a period of historical time as device operation data, and determining environmental monitoring parameters with a common sampling frequency within the period of historical time as environmental monitoring data; S102: performing correlation analysis on the device operation data and the environmental monitoring data to obtain a correlation formula between the device operation parameters and the environmental monitoring parameters; S103: substituting the device operation parameters collected in real time into the correlation formula to obtain the corresponding environmental monitoring parameter values, and evaluating environmental pollution through the environmental monitoring parameter values.

[0048] Specifically, in the embodiment of the present invention, the equipment operation parameters and environmental monitoring parameters within a period of historical time are collected, the common sampling frequency of the equipment operation parameters and the environmental monitoring parameters is determined, and the equipment operation parameters with the common sampling frequency are used as equipment operation data, and the environmental monitoring parameters with the common sampling frequency are used as environmental monitoring data. The equipment operation parameters can be collected by a distributed control system, and the distributed control system is configured on an industrial device and can be monitored in real time. The temperature, pressure, flow, liquid level and other information of the collection device are collected. Then, the equipment operation data and the environmental monitoring data are subjected to correlation analysis to obtain the correlation formula between the equipment operation parameters and the environmental monitoring parameters. The equipment operation parameters collected in real time are substituted into the correlation formula to obtain the corresponding values ​​of the environmental monitoring parameters, and the environmental pollution is evaluated by the values ​​of the environmental monitoring parameters. If the values ​​of the environmental monitoring parameters are within the preset range, it means that the environment is polluted, and the equipment corresponding to the equipment operation parameters collected in real time is the source of pollution, and the environmental pollution and the pollution source can be immediately processed.

[0049] The environmental pollution assessment method provided by the present invention can quickly determine the degree of environmental pollution based on equipment operating parameters, conduct quantitative assessment of environmental pollution, and quickly determine the source of environmental pollution. The evaluation results are more objective and accurate, which facilitates the treatment of pollution sources and pollution points, prevents further spread of pollution, and provides targeted support for environmental supervision.

[0050] Furthermore, the common sampling frequency is determined in the following manner: determining the data sampling frequency of all device operating parameters and the data sampling frequency of all environmental monitoring parameters within the historical time period; and taking the common multiple of the data sampling frequency of the device operating parameters and the data sampling frequency of the environmental monitoring parameters as the common sampling frequency.

[0051] Specifically, in the embodiment of the present invention, firstly, the data sampling frequency f of all equipment operating parameters within a period of history is determined respectively. 1 And the data sampling frequency f of all environmental monitoring parameters 2 , according to the formula:

[0052] f 0 =[f 1 , f 2 ]

[0053] Calculate the data sampling frequency f 1 and data sampling frequency f 2 The least common multiple f 0 , that is, the common sampling frequency of all equipment operating parameters and all environmental monitoring parameters within a historical period of time is obtained.

[0054] According to the environmental pollution assessment method provided by the present invention, the correlation formula between the equipment operation parameters and the environmental monitoring parameters can be determined based on the synchronously collected equipment operation data and environmental monitoring parameters, thereby improving the accuracy of environmental pollution assessment.

[0055] Furthermore, the correlation analysis of the equipment operation data and the environmental monitoring data to obtain the correlation formula between the equipment operation parameters and the environmental monitoring parameters includes: performing time domain-frequency domain transformation on the equipment operation parameters and the environmental monitoring parameters having a common sampling frequency respectively to obtain the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; determining the common characteristic frequency of the equipment operation parameters and the environmental monitoring parameters according to the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; performing correlation fitting on the equipment operation parameters and the environmental monitoring parameters having the common characteristic frequency; performing polynomial fitting on the equipment operation parameters and the environmental monitoring parameters having the common sampling frequency according to the result of the correlation fitting to obtain the correlation formula between the equipment operation parameters and the environmental monitoring parameters.

[0056] Specifically, in the implementation manner of the present invention, firstly, a time-frequency conversion method, such as Fourier transform, is used to mine the equipment operation parameters and the characteristic frequencies of the equipment operation parameters. The Fourier transform method is as follows:

[0057]

[0058] Among them, F(w) is the image function of F(t), and the image functions of equipment operating parameters and environmental monitoring parameters are calculated by Fourier transform. When the image function of equipment operating parameters has a peak at a certain frequency, the frequency is determined as the characteristic frequency f of the equipment operating parameters. DCS When the image function of the environmental monitoring parameter has a peak at a certain frequency, the frequency is determined as the characteristic frequency f of the environmental monitoring parameter. ENV .

[0059] Then according to the characteristic frequency f of the equipment operating parameters DCS and the characteristic frequency f of the environmental monitoring parameters ENV Determine the common characteristic frequencies of equipment operating parameters and environmental monitoring parameters.

[0060] Furthermore, determining the common characteristic frequency of the device operating parameters and the environmental monitoring parameters based on the characteristic frequency of the device operating parameters and the characteristic frequency of the environmental monitoring parameters includes: determining the common characteristic frequency of the device operating parameters and the environmental monitoring parameters based on the ratio of the characteristic frequency of the device operating parameters to the characteristic frequency of the environmental monitoring parameters.

[0061] Specifically, in the embodiment of the present invention, firstly, the characteristic frequency of the equipment operation parameter is compared with the characteristic frequency of the environmental monitoring parameter. DCS / f ENV , if the ratio f DCS / f ENV If it is approximately equal to 1, then f DCS Determine the common characteristic frequency of the equipment operating parameters and set f ENV Determined as the common characteristic frequency of the corresponding environmental monitoring parameters. Preferably, in the embodiment of the present invention, f DCS / f ENV Between 95% and 105%. Then, correlation fitting is performed on the equipment operating parameters and environmental monitoring parameters with common characteristic frequencies.

[0062] Furthermore, the correlation fitting of the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency includes: respectively performing temperature correction on the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency; and performing correlation fitting on the temperature-corrected equipment operating parameters and environmental monitoring parameters having a common characteristic frequency.

[0063] Specifically, due to the periodic changes in temperature every day, the equipment operating parameters and environmental monitoring parameters will be affected. Therefore, the equipment operating parameters and environmental monitoring parameters at a frequency of 1 / (24×60×60) Hz (i.e., a frequency of 1 / 86400 Hz) must be correlated. Therefore, in the implementation of the present invention, the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency must be temperature corrected respectively, and the frequency of 1 / 86400 Hz must be removed from the common characteristic frequency. Then, the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction are subjected to correlation fitting. Preferably, in the implementation of the present invention, the frequency of (0.95 to 1.05)×1 / 86400 Hz is removed from the common characteristic frequency.

[0064] The environmental pollution assessment method provided by the present invention can avoid the joint influence of temperature on the standby operation parameters and environmental monitoring parameters during the day, thereby improving the accuracy of environmental pollution assessment.

[0065] Furthermore, the correlation fitting of the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction includes: using a Spearman correlation analysis method or a Pearson correlation analysis method to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction to determine the degree of linear correlation between the equipment operating parameters and the environmental monitoring parameters; or using a maximum information coefficient correlation analysis method to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction to determine the degree of nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters.

[0066] Specifically, in the embodiment of the present invention, the Spearman correlation analysis method or the Pearson correlation analysis method is firstly used to perform correlation fitting on the equipment operation parameters and environmental monitoring parameters with common characteristic frequencies after temperature correction.

[0067] The Spearman correlation analysis formula is:

[0068]

[0069] The Pearson correlation analysis formula is:

[0070]

[0071] Among them, x i ,y i are the series of equipment operating parameters and environmental monitoring parameters with the same characteristic frequency, For x i The average value of for y i The average value, N is the equipment operating parameter series x i Or environmental monitoring parameter series y i The sample capacity of .

[0072] If the calculated ρ≥0.5 or r≥0.5, the equipment operation parameters and environmental monitoring parameters are determined to be linearly correlated. Otherwise, the maximum information coefficient correlation analysis method is used to perform correlation fitting on the equipment operation parameters and environmental monitoring parameters with common characteristic frequencies after temperature correction.

[0073] The maximum information coefficient correlation analysis formula is:

[0074]

[0075] I(x,y)=H(x)+H(y)-H(x,y)

[0076]

[0077]

[0078]

[0079] Among them, p(x i ,y i ) is the joint probability density distribution function, p(x i ) and p(y i ) is p(x i ,y i ), x i ,y i They are the series of equipment operating parameters and environmental monitoring parameters with the same characteristic frequencies.

[0080] If the calculated MIC is ≥ 0.5, it is determined that the equipment operating parameters are nonlinearly related to the environmental monitoring parameters.

[0081] After the correlation fitting result is obtained, a polynomial fitting is performed on the equipment operating parameters and environmental monitoring parameters having a common sampling frequency according to the correlation fitting result to obtain a correlation formula.

[0082] Further, performing polynomial fitting on the equipment operating parameters and the environmental monitoring parameters having a common sampling frequency according to the result of the correlation fitting to obtain the correlation formula includes: in the case where there is a linear correlation between the equipment operating parameters and the environmental monitoring parameters, using the following formula for polynomial fitting:

[0083]

[0084] Where x is the sequence of equipment operating parameters with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n ), y is a series of environmental monitoring parameters with a common sampling frequency (y 1 ,y 2 ,y 3 ,···,y n ); using the undetermined coefficient method to find the intercept b; obtaining the correlation formula:

[0085] y = k × x + b;

[0086] In the case of a nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters, the following formula is used for polynomial fitting:

[0087]

[0088] Where x is the sequence of equipment operation data with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n ), y is the series of equipment operation data with a common sampling frequency (y 1 ,y 2 ,y 3 ,···,y n );Get the correlation formula:

[0089] y=a 0 +a 1 x+a 2 x 2 +a 2 x k .

[0090] Specifically, in the embodiment of the present invention, if the equipment operating parameters are linearly correlated with the environmental monitoring parameters, the slope k is calculated using the following formula:

[0091]

[0092] Where x is the sequence of equipment operating parameters with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n ), y is a series of environmental monitoring parameters with a common sampling frequency (y 1 ,y 2 ,y 3 ,···,y n );

[0093] Then, the method of undetermined coefficients was used to substitute multiple sets of corresponding equipment operation data and environmental monitoring parameters into a linear equation, and the intercept b was obtained, and then the correlation formula was obtained:

[0094] y=k×x+b.

[0095] In the case of nonlinear correlation between equipment operating parameters and environmental monitoring parameters, the following formula is used for polynomial fitting:

[0096]

[0097] Calculate a 0 、···、a k , where x is the series of equipment operating parameters with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n), y is a series of environmental monitoring parameters with a common sampling frequency (y 1 ,y 2 ,y 3 ,···,y n );

[0098] The correlation formula is obtained:

[0099] y=a 0 +a 1 x+a 2 x 2 +a 2 x k .

[0100] Please refer to Figure 2 According to a second aspect of the present invention, there is provided an environmental pollution assessment device, which comprises: a determination module 201, which is used to determine the equipment operation parameters with a common sampling frequency within a period of historical time as equipment operation data, and to determine the environmental monitoring parameters with a common sampling frequency within the period of historical time as environmental monitoring data; a correlation analysis module 202, which is used to perform correlation analysis on the equipment operation data and the environmental monitoring data to obtain a correlation formula between the equipment operation parameters and the environmental monitoring parameters; and an environmental pollution assessment module 203, which is used to substitute the equipment operation parameters collected in real time into the correlation formula to obtain the corresponding values ​​of the environmental monitoring parameters, and to evaluate the environmental pollution according to the values ​​of the environmental monitoring parameters.

[0101] Furthermore, the common sampling frequency is determined in the following manner: determining the data sampling frequency of all device operating parameters and the data sampling frequency of all environmental monitoring parameters within the historical time period; and taking the common multiple of the data sampling frequency of the device operating parameters and the data sampling frequency of the environmental monitoring parameters as the common sampling frequency.

[0102] Furthermore, the correlation analysis of the equipment operation data and the environmental monitoring data to obtain the correlation formula between the equipment operation parameters and the environmental monitoring parameters includes: performing time domain-frequency domain transformation on the equipment operation parameters and the environmental monitoring parameters having a common sampling frequency respectively to obtain the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; determining the common characteristic frequency of the equipment operation parameters and the environmental monitoring parameters according to the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; performing correlation fitting on the equipment operation parameters and the environmental monitoring parameters having the common characteristic frequency; performing polynomial fitting on the equipment operation parameters and the environmental monitoring parameters having the common sampling frequency according to the result of the correlation fitting to obtain the correlation formula between the equipment operation parameters and the environmental monitoring parameters.

[0103] Furthermore, determining the common characteristic frequency of the device operating parameters and the environmental monitoring parameters based on the characteristic frequency of the device operating parameters and the characteristic frequency of the environmental monitoring parameters includes: determining the common characteristic frequency of the device operating parameters and the environmental monitoring parameters based on the ratio of the characteristic frequency of the device operating parameters to the characteristic frequency of the environmental monitoring parameters.

[0104] Furthermore, the correlation fitting of the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency includes: respectively performing temperature correction on the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency; and performing correlation fitting on the temperature-corrected equipment operating parameters and environmental monitoring parameters having a common characteristic frequency.

[0105] Furthermore, the correlation fitting of the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction includes: using a Spearman correlation analysis method or a Pearson correlation analysis method to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction to determine the degree of linear correlation between the equipment operating parameters and the environmental monitoring parameters; or using a maximum information coefficient correlation analysis method to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction to determine the degree of nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters.

[0106] Further, the result of the correlation fitting includes: a linear correlation between the equipment operating parameters and the environmental monitoring parameters, or a nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters; performing polynomial fitting on the equipment operating parameters and the environmental monitoring parameters having a common sampling frequency according to the result of the correlation fitting to obtain the correlation formula includes: in the case of a linear correlation between the equipment operating parameters and the environmental monitoring parameters, using the following formula for polynomial fitting:

[0107]

[0108] Where x is the sequence of equipment operating parameters with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n ), y is a series of environmental monitoring parameters with a common sampling frequency (y 1 ,y 2 ,y 3 ,···,y n ); using the undetermined coefficient method to find the intercept b; obtaining the correlation formula:

[0109] y = k × x + b;

[0110] In the case of a nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters, the following formula is used for polynomial fitting:

[0111]

[0112] Where x is the sequence of equipment operation data with a common sampling frequency (x 1 , x 2 , x 3 ,···,x n ), y is the series of equipment operation data with a common sampling frequency (y 1 ,y 2 ,y 3 ,···,y n );Get the correlation formula:

[0113] y=a 0 +a 1 x+a 2 x 2 +a 2 x k .

[0114] Please refer to Figure 3 According to a third aspect of the present invention, there is provided an environmental pollution assessment system, which comprises: a distributed control system 301 connected to a network, for collecting equipment operating parameters in real time; and an environmental pollution assessment device 302 connected to a network as described in any one of claims 8 to 14, wherein the environmental pollution assessment module of the environmental pollution assessment device obtains the equipment operating parameters collected in real time through the network.

[0115] In a fourth aspect, the present invention provides a computer-readable storage medium, on which instructions are stored, and when the instructions are executed on a computer, the computer executes the environmental pollution assessment method described in any one of claims 1 to 7. The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the specific details of the above embodiments. Within the technical concept of the present invention, the technical solution of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the present invention.

[0116] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not further describe various possible combinations.

[0117] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the present invention, they should also be regarded as the contents disclosed by the present invention.

Claims

1. A method for evaluating environmental pollution, characterized in that: The environmental pollution assessment method comprises: Determine the equipment operation parameters with a common sampling frequency within a period of historical time as equipment operation data, and determine the environmental monitoring parameters with a common sampling frequency within the period of historical time as environmental monitoring data; wherein the common sampling frequency is determined by: determining the data sampling frequency of all equipment operation parameters and the data sampling frequency of all environmental monitoring parameters within the period of historical time; and taking the common multiple of the data sampling frequency of the equipment operation parameters and the data sampling frequency of the environmental monitoring parameters as the common sampling frequency; Performing a correlation analysis on the equipment operation data and the environmental monitoring data to obtain a correlation formula between the equipment operation parameters and the environmental monitoring parameters; wherein, performing a correlation analysis on the equipment operation data and the environmental monitoring data to obtain a correlation formula between the equipment operation parameters and the environmental monitoring parameters comprises: performing a time domain-frequency domain transformation on the equipment operation parameters and the environmental monitoring parameters having a common sampling frequency to obtain a characteristic frequency of the equipment operation parameters and a characteristic frequency of the environmental monitoring parameters; determining a common characteristic frequency of the equipment operation parameters and the environmental monitoring parameters according to the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; performing correlation fitting on the equipment operation parameters and the environmental monitoring parameters having a common characteristic frequency; performing polynomial fitting on the equipment operation parameters and the environmental monitoring parameters having a common sampling frequency according to the result of the correlation fitting to obtain a correlation formula between the equipment operation parameters and the environmental monitoring parameters; The equipment operation parameters collected in real time are substituted into the correlation formula to obtain the corresponding values ​​of the environmental monitoring parameters, and the environmental pollution is evaluated according to the values ​​of the environmental monitoring parameters.

2. The environmental pollution assessment method according to claim 1, characterized in that: The determining the common characteristic frequency of the equipment operation parameter and the environment monitoring parameter according to the characteristic frequency of the equipment operation parameter and the characteristic frequency of the environment monitoring parameter comprises: The common characteristic frequency of the equipment operation parameter and the environment monitoring parameter is determined according to the ratio of the characteristic frequency of the equipment operation parameter to the characteristic frequency of the environment monitoring parameter.

3. The environmental pollution assessment method according to claim 2, characterized in that: The performing correlation fitting on the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency includes: Perform temperature correction on equipment operating parameters and environmental monitoring parameters with common characteristic frequencies respectively; Correlation fitting is performed on the equipment operating parameters and environmental monitoring parameters with common characteristic frequencies after temperature correction.

4. The environmental pollution assessment method according to claim 3, characterized in that: The correlation fitting of the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction includes: Using the Spearman correlation analysis method or the Pearson correlation analysis method to perform correlation fitting on the temperature-corrected equipment operating parameters and environmental monitoring parameters with a common characteristic frequency to determine the degree of linear correlation between the equipment operating parameters and the environmental monitoring parameters; or The maximum information coefficient correlation analysis method is used to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with common characteristic frequencies after temperature correction, so as to determine the nonlinear correlation degree between the equipment operating parameters and the environmental monitoring parameters.

5. The environmental pollution assessment method according to claim 4, characterized in that: The result of the correlation fitting includes: a linear correlation between the equipment operation parameter and the environmental monitoring parameter, or a nonlinear correlation between the equipment operation parameter and the environmental monitoring parameter; The step of performing polynomial fitting on the equipment operating parameters and environmental monitoring parameters having a common sampling frequency according to the result of the correlation fitting to obtain the correlation formula includes: In the case where the equipment operating parameters are linearly correlated with the environmental monitoring parameters, the following formula is used for polynomial fitting: Where x is a sequence of equipment operating parameters with a common sampling frequency (x1, x2, x3, ..., x n ), y is a sequence of environmental monitoring parameters with a common sampling frequency (y1, y2, y3, ..., y n ); The intercept b is found by the method of undetermined coefficients; The correlation formula is obtained: y = k × x + b; In the case of a nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters, the following formula is used for polynomial fitting: Where x is a sequence of equipment operating parameters with a common sampling frequency (x1, x2, x3, ..., x n ), y is a sequence of environmental monitoring parameters with a common sampling frequency (y1, y2, y3, ..., y n ); The correlation formula is obtained: y=a0+a1x+a2x 2 +a2x k 。 6. An environmental pollution assessment device, characterized in that: The environmental pollution assessment device comprises: A determination module, used to determine the device operation parameters with a common sampling frequency within a period of historical time as the device operation data, and to determine the environmental monitoring parameters with a common sampling frequency within the period of historical time as the environmental monitoring data; wherein the common sampling frequency is determined by: determining the data sampling frequency of all device operation parameters and the data sampling frequency of all environmental monitoring parameters within the period of historical time; and taking the common multiple of the data sampling frequency of the device operation parameters and the data sampling frequency of the environmental monitoring parameters as the common sampling frequency; A correlation analysis module, used for performing correlation analysis on the equipment operation data and the environmental monitoring data to obtain a correlation formula between the equipment operation parameters and the environmental monitoring parameters; wherein, performing correlation analysis on the equipment operation data and the environmental monitoring data to obtain a correlation formula between the equipment operation parameters and the environmental monitoring parameters comprises: performing time domain-frequency domain transformation on the equipment operation parameters and the environmental monitoring parameters having a common sampling frequency to obtain a characteristic frequency of the equipment operation parameters and a characteristic frequency of the environmental monitoring parameters; determining a common characteristic frequency of the equipment operation parameters and the environmental monitoring parameters according to the characteristic frequency of the equipment operation parameters and the characteristic frequency of the environmental monitoring parameters; performing correlation fitting on the equipment operation parameters and the environmental monitoring parameters having a common characteristic frequency; performing polynomial fitting on the equipment operation parameters and the environmental monitoring parameters having a common sampling frequency according to the result of the correlation fitting to obtain a correlation formula between the equipment operation parameters and the environmental monitoring parameters; The environmental pollution evaluation module is used to substitute the equipment operation parameters collected in real time into the correlation formula to obtain the corresponding environmental monitoring parameter values, and evaluate the environmental pollution through the environmental monitoring parameter values.

7. The environmental pollution assessment device according to claim 6, characterized in that: The determining the common characteristic frequency of the equipment operation parameter and the environment monitoring parameter according to the characteristic frequency of the equipment operation parameter and the characteristic frequency of the environment monitoring parameter comprises: The common characteristic frequency of the equipment operation parameter and the environment monitoring parameter is determined according to the ratio of the characteristic frequency of the equipment operation parameter to the characteristic frequency of the environment monitoring parameter.

8. The environmental pollution assessment device according to claim 7, characterized in that: The performing correlation fitting on the equipment operating parameters and environmental monitoring parameters having a common characteristic frequency includes: Perform temperature correction on equipment operating parameters and environmental monitoring parameters with common characteristic frequencies respectively; Correlation fitting is performed on the equipment operating parameters and environmental monitoring parameters with common characteristic frequencies after temperature correction.

9. The environmental pollution assessment device according to claim 8, characterized in that: The correlation fitting of the equipment operating parameters and environmental monitoring parameters with a common characteristic frequency after temperature correction includes: Using the Spearman correlation analysis method or the Pearson correlation analysis method to perform correlation fitting on the temperature-corrected equipment operating parameters and environmental monitoring parameters with a common characteristic frequency to determine the degree of linear correlation between the equipment operating parameters and the environmental monitoring parameters; or The maximum information coefficient correlation analysis method is used to perform correlation fitting on the equipment operating parameters and environmental monitoring parameters with common characteristic frequencies after temperature correction, so as to determine the nonlinear correlation degree between the equipment operating parameters and the environmental monitoring parameters.

10. The environmental pollution assessment device according to claim 9, characterized in that: The result of the correlation fitting includes: a linear correlation between the equipment operation parameter and the environmental monitoring parameter, or a nonlinear correlation between the equipment operation parameter and the environmental monitoring parameter; The step of performing polynomial fitting on the equipment operating parameters and environmental monitoring parameters having a common sampling frequency according to the result of the correlation fitting to obtain the correlation formula includes: In the case where the equipment operating parameters are linearly correlated with the environmental monitoring parameters, the following formula is used for polynomial fitting: Where x is a sequence of equipment operating parameters with a common sampling frequency (x1, x2, x3, ..., x n ), y is a sequence of environmental monitoring parameters with a common sampling frequency (y1, y2, y3, ..., y n ); The intercept b is found by the method of undetermined coefficients; The correlation formula is obtained: y = k × x + b; In the case of a nonlinear correlation between the equipment operating parameters and the environmental monitoring parameters, the following formula is used for polynomial fitting: Where x is a sequence of equipment operating parameters with a common sampling frequency (x1, x2, x3, ..., x n ), y is a sequence of environmental monitoring parameters with a common sampling frequency (y1, y2, y3, ..., y n ); The correlation formula is obtained: y=a0+a1x+a2x 2 +a2x k 。 11. An environmental pollution assessment system, characterized in that: The environmental pollution assessment system comprises: A distributed control system connected to the network to collect equipment operating parameters in real time; The environmental pollution assessment device according to any one of claims 6 to 10 is connected to a network, wherein the environmental pollution assessment module of the environmental pollution assessment device obtains the equipment operation parameters collected in real time through the network.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the environmental pollution assessment method described in any one of claims 1 to 5.

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