An environmental protection evaluation method, system and device for short-process copper smelting

Abstract

The present application relates to copper smelting environmental protection technical field, especially short process copper smelting preparation environmental protection evaluation method, system and device, method includes: first, three pollution information and multidimensional process parameters are collected, three-phase pollution is extracted, the path prediction of three-phase pollution is carried out through the pollution dynamic tracking model, and the path prediction result is dynamically updated according to multidimensional process parameters, so as to obtain pollution emission, and the environmental protection evaluation of pollution emission is carried out according to the copper smelting environmental protection evaluation standard, and the environmental protection evaluation result is obtained, through the present application, the problem that the traditional path prediction model cannot effectively integrate the pollution migration and transformation process between gas phase, slag phase and metal phase is effectively solved, the migration path of pollutants is predicted in real time by building a multi-phase pollution coupling analysis model, the path prediction accuracy is significantly improved, and the pollution emission caused by prediction error is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of copper smelting environmental protection, and in particular to an environmental protection evaluation method, system and device for short-process copper smelting preparation. BACKGROUND

[0002] Short-process copper smelting is an efficient and energy-saving smelting process, which aims to quickly convert copper ore or copper concentrate into blister copper or anode copper by simplifying the traditional smelting process. The pollutants generated in the smelting process are mainly divided into three types: slag phase pollution, gas phase pollution and metal phase pollution. The environmental protection evaluation method is a means for systematic analysis and evaluation of these pollutants. However, the comprehensive evaluation and dynamic tracking of three-phase pollution in the prior art in this field still have significant deficiencies.

[0003] Most of the existing technologies currently only focus on a single pollution phase, such as harmful substances in the gas phase or heavy metals in the slag phase, and lack the ability to comprehensively evaluate three-phase pollution. In addition, many existing technologies use fixed monitoring point data and static models to predict the path of pollutants. This method cannot dynamically reflect the changes in the migration path of pollutants during the smelting process, especially when multi-dimensional process parameters (such as temperature, pressure, raw material composition, etc.) change. The prediction results are often not accurate enough.

[0004] The information disclosed in this BACKGROUND section is only intended to enhance the understanding of the general background of the present disclosure and is not to be taken as admission that this information is prior art known to those of ordinary skill in the art. SUMMARY

[0005] The present application provides an environmental protection evaluation method, system and device for short-process copper smelting preparation, which can effectively solve the problems in the background art.

[0006] In order to achieve the above purpose, the technical solution adopted by the present application is:

[0007] An environmental protection evaluation method for short-process copper smelting preparation, the method comprising:

[0008] Collecting three-phase pollution information and obtaining multi-dimensional process parameters, extracting three-phase pollution according to the three-phase pollution information;

[0009] Building a pollution dynamic tracking model, predicting the pollution path of the three-phase pollution according to the pollution dynamic tracking model, and obtaining the path prediction result;

[0010] According to the multi-dimensional process parameters, dynamically updating the path prediction result to obtain the path optimization result, and obtaining the pollution emission according to the path optimization result;

[0011] Obtain a copper smelting environmental protection evaluation standard, perform environmental protection evaluation on the pollution emission according to the copper smelting environmental protection evaluation standard, and obtain an environmental protection evaluation result.

[0012] Further, a pollution dynamic tracking model is constructed, including:

[0013] A data layer obtains slag phase pollution, gas phase pollution and metal phase pollution according to the three-phase pollution, and respectively performs heavy metal pollution monitoring on the slag phase pollution, the gas phase pollution and the metal phase pollution, and obtains heavy metal pollution monitoring data;

[0014] A model layer constructs a multi-phase pollution coupling analysis model, performs path prediction on the heavy metal pollution according to the multi-phase pollution coupling analysis model combined with the heavy metal pollution monitoring data, and obtains a path prediction result;

[0015] A decision layer performs path repair on the path prediction result according to the path prediction result, obtains a complete path, and sets a risk early warning according to the copper smelting environmental protection evaluation standard.

[0016] Further, the path prediction on the heavy metal pollution according to the multi-phase pollution coupling analysis model combined with the heavy metal pollution monitoring data includes:

[0017] Extracting a plurality of heavy metal pollution spectrum signals according to the heavy metal pollution detection data;

[0018] Performing deconvolution processing on the heavy metal pollution spectrum signal to obtain heavy metal pollutant concentration;

[0019] Multi-phase coupling of the slag phase pollution, the gas phase pollution and the metal phase pollution to construct a multi-phase pollution coupling analysis model;

[0020] Obtaining heavy metal pollution distribution according to the multi-phase pollution coupling analysis model, and obtaining a path prediction result according to the heavy metal pollution distribution.

[0021] Further, the multi-phase coupling of the slag phase pollution, the gas phase pollution and the metal phase pollution to construct a multi-phase pollution coupling analysis model includes:

[0022] Single-cycle combination of slag phase, gas phase and metal phase to obtain a plurality of two-phase combinations, determine a pollution migration process of a plurality of the two-phase combinations, and obtain a coupling relationship corresponding to the two-phase combination;

[0023] Constructing a plurality of migration equations, the migration equations representing the pollution migration process and corresponding to the two-phase combination one by one;

[0024] According to a plurality of the coupling relationships, a plurality of the migration equations are integrated and linked to obtain a multi-phase pollution coupling analysis model.

[0025] Further, the path prediction result is dynamically updated according to the multi-dimensional process parameters, including:

[0026] According to the three-phase pollution information, the pollution release rates of the slag phase pollution, the gas phase pollution and the metal phase pollution are obtained respectively;

[0027] The multi-dimensional process parameters are taken as variables respectively, and the sensitivity analysis is performed on each pollution release rate respectively to obtain a plurality of release rate sensitivities;

[0028] The plurality of release rate sensitivities are taken as adjustment factors to adjust the multi-dimensional process parameters respectively, and the path prediction result is updated according to the adjusted multi-dimensional process parameters.

[0029] Further, the copper smelting environmental protection evaluation standard is obtained, including:

[0030] The historical heavy metal emission information is collected, and the heavy metal pollution source and the historical pollution range are obtained;

[0031] According to the historical heavy metal emission information and the heavy metal pollution source, the historical pollution range is regionally divided to obtain a plurality of pollution areas;

[0032] An environmental protection gradient evaluation database is established, and the pollution area and the corresponding copper smelting environmental protection evaluation standard of the pollution area are obtained according to the environmental protection gradient evaluation database.

[0033] Further, the environmental protection gradient evaluation database is established, including:

[0034] The environmental carrying capacity is obtained, and the heavy metal concentration corresponding to a plurality of pollution areas is obtained according to the historical heavy metal emission information;

[0035] The copper smelting environmental protection evaluation standard of a plurality of pollution areas is set respectively according to the environmental carrying capacity;

[0036] A plurality of pollution areas and the copper smelting environmental protection evaluation standard are corresponded respectively, the pollution area and the corresponding copper smelting environmental protection evaluation standard of the pollution area are obtained, and combined index is performed to construct an environmental protection gradient evaluation database.

[0037] Further, according to the path prediction result, the path prediction result is repaired, including:

[0038] According to the path prediction result, the predicted missing points are identified, the pollution path time sequence is obtained, and the data filling of the predicted missing points is performed, and the data filling method is as follows:

[0039]

[0040] Wherein, x1, x2 represent the time nodes adjacent to the predicted missing value, y1, y2 represent the path prediction results corresponding to x1, x2 respectively, and y represents the predicted missing value.

[0041] Insert the predicted missing value into the path prediction result to complete the path.

[0042] An environmental protection evaluation system for short-process copper smelting preparation, the system comprising:

[0043] Collecting three-phase pollution information and obtaining multi-dimensional process parameters, extracting three-phase pollution according to the three-phase pollution information;

[0044] Building a pollution dynamic tracking model, predicting the pollution path of the three-phase pollution according to the pollution dynamic tracking model, and obtaining a path prediction result;

[0045] According to the multi-dimensional process parameters, dynamically updating the path prediction result, obtaining a path optimization result, and obtaining a pollution emission according to the path optimization result;

[0046] Obtaining a copper smelting environmental protection evaluation standard, performing environmental protection evaluation on the pollution emission according to the copper smelting environmental protection evaluation standard, and obtaining an environmental protection evaluation result.

[0047] An environmental protection evaluation device for short-process copper smelting preparation, the device applying any of the environmental protection evaluation methods for short-process copper smelting preparation.

[0048] Through the technical scheme of the present application, the following technical effects can be achieved:

[0049] The problem that the traditional path prediction model cannot effectively integrate the pollution migration and transformation process among gas phase, slag phase and metal phase is effectively solved, through building a multi-phase pollution coupling analysis model, combining three-phase pollution information and multi-dimensional process parameters, the missing value in the path can be accurately identified and corrected in real time, and the pollution release rate is optimized through sensitivity analysis, the migration path of the pollutant is predicted in real time, the path prediction accuracy is significantly improved, and the pollution emission caused by prediction error is reduced.

[0050] The above description is only a summary of the technical scheme of the present application, in order to more clearly understand the technical means of the present application, the specific embodiments of the present application can be implemented according to the content of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the accompanying drawings in the following description only represent some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative effort.

[0052] Figure 1 An environmental protection evaluation method flowchart for short-process copper smelting preparation;

[0053] Figure 2 A pollution dynamic tracking model construction flowchart;

[0054] Figure 3 A pollution path prediction flowchart;

[0055] Figure 4 A multiphase pollution coupling analysis model structure diagram;

[0056] Figure 5 A pollution dynamic tracking model construction structure diagram. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments only represent some embodiments of the present application, rather than all the embodiments.

[0058] Unless otherwise defined, 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 application belongs. The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0059] Embodiment one;

[0060] As Figure 1 shown, the present application provides an environmental protection evaluation method for short-process copper smelting preparation, the method comprising:

[0061] S100: collecting three-phase pollution information and obtaining multi-dimensional process parameters, and extracting three-phase pollution according to the three-phase pollution information;

[0062] S200: constructing a pollution dynamic tracking model, predicting a pollution path of the three-phase pollution according to the pollution dynamic tracking model, and obtaining a path prediction result;

[0063] S300: dynamically updating the path prediction result according to the multi-dimensional process parameters, obtaining a path optimization result, and obtaining the pollution emission according to the path optimization result;

[0064] S400: obtaining a copper smelting environmental protection evaluation standard, performing environmental protection evaluation on the pollution emission according to the copper smelting environmental protection evaluation standard, and obtaining an environmental protection evaluation result.

[0065] Specifically, first, multi-sensor integration is used to collect three-phase pollution information generated in the copper smelting process. The three-phase pollution information refers to the pollution data obtained from three different substance phases in the short process copper smelting process. These pollution data reflect the types, concentrations and change rules of harmful pollutants in different substance phases in the smelting process. In some embodiments, the three-phase pollution information is obtained from the smelting furnace bottom, real-time monitoring of gas through the exhaust monitoring device, and composition analysis of metal substances in the smelting process. Then, based on the collected pollution information, a pollution dynamic tracking model is constructed. The pollution dynamic tracking model is used for pollution path prediction of three-phase pollution. Once the pollution path prediction is completed, it needs to be dynamically updated to ensure that the prediction result is consistent with the actual process parameters. In the actual smelting process, process parameters such as furnace temperature and reaction time will change constantly. These data are fed back in real time through an automatic system, combined with the diffusion rule of pollutants, and the pollution dynamic tracking model is adjusted to improve the accuracy and real-time performance of the prediction. The optimized pollution path result is used to calculate the pollution emission. The following method can be used to obtain it: real-time collection of pollution flow and concentration data in the smelting process, such as monitoring the concentration of harmful substances in the exhaust gas through a gas analyzer, monitoring the pollutant concentration of slag phase and metal phase through sample analysis, then multiplying the pollutant flow or treatment capacity by the corresponding emission factor (i.e. the amount of pollutants emitted per unit activity) to obtain the emission of each pollutant. Finally, the total emission of the smelting process is obtained by comprehensively calculating the pollutant emissions of gas phase, slag phase and metal phase, which provides basic data for pollution control and environmental protection evaluation. Finally, according to the calculated pollution emission, combined with the copper smelting environmental protection evaluation standard, the environmental protection evaluation is performed to obtain the environmental protection evaluation result.

[0066] It effectively solves the problem that the traditional path prediction model cannot effectively integrate the pollution migration and transformation process among gas phase, slag phase and metal phase. By constructing a multi-phase pollution coupling analysis model, combining three-phase pollution information and multi-dimensional process parameters, missing values in the path can be accurately identified and corrected in real time, and the pollution release rate can be optimized through sensitivity analysis, the pollution migration path can be predicted in real time, which significantly improves the path prediction accuracy and reduces the pollution emission caused by prediction error.

[0067] Further, as shown in Figure 2 As shown in Figure 5 , the pollution dynamic tracking model is constructed, which includes:

[0068] S210: Data layer, obtain slag phase pollution, gas phase pollution and metal phase pollution according to three-phase pollution, and respectively monitor heavy metal pollution of slag phase pollution, gas phase pollution and metal phase pollution to obtain heavy metal pollution monitoring data;

[0069] S220: Model layer, construct a multi-phase pollution coupling analysis model, and predict the path of heavy metal pollution according to the multi-phase pollution coupling analysis model combined with the heavy metal pollution monitoring data to obtain the path prediction result;

[0070] S230: Decision layer, according to the path prediction result, repairing the path prediction result to obtain a complete path, and setting a risk warning according to a copper smelting environmental protection evaluation standard.

[0071] As a preferred embodiment of the above-mentioned embodiment, according to the three-phase pollution extraction slag phase pollution, gas phase pollution and metal phase pollution, the slag phase pollution refers to the pollutants contained in the solid waste (i.e. smelting slag) generated during the smelting process; the gas pollution is that the pollutants are discharged into the atmosphere in the form of gas during the smelting process, mainly including waste gas and other gas pollutants in the smelting furnace, and the metal phase pollution refers to the pollutants contained in the metal liquid during the smelting process. When smelting metals, liquid metals such as copper, aluminum, etc. may contain harmful elements and impurities (such as heavy metals) from ores, and each pollution phase is monitored by different equipment. For slag phase pollution: an automatic sampler is used to periodically sample the slag layer in the smelting furnace, and the heavy metal components contained in the slag, such as copper, lead, cadmium, arsenic, etc. are analyzed. ICP-MS (inductively coupled plasma mass spectrometry) or X-ray fluorescence analysis (XRF) can be used for heavy metal analysis of slag samples; for gas phase pollution: gas sensors can be installed through the waste gas treatment system to monitor the concentration of harmful gases (such as sulfur dioxide SO2, nitrogen oxides NOx, carbon monoxide CO, etc.) released during the smelting process. These sensors can provide real-time feedback on the concentration changes of the gases; for metal phase pollution: metal liquid samples can be extracted from the smelting process to monitor, and atomic absorption spectrometry (AAS) or inductively coupled plasma emission spectrometry (ICP-OES) can be used to analyze the harmful components in the metal liquid and measure their concentration changes; in the model layer, the three-phase pollution information (slag phase, gas phase and metal phase pollution data) obtained by the data layer needs to be comprehensively processed to establish a multi-phase pollution coupling analysis model. The key to this model is how to couple the three-phase pollution with each other, simulate the dynamic migration and diffusion of pollutants, and obtain the path prediction result; based on the path prediction result, the predicted path needs to be repaired and optimized to obtain a complete and accurate pollution diffusion path. Once the pollution path is repaired, according to the set environmental protection evaluation standard (such as heavy metal emission standard, environmental pollution load, etc.), the risk of the path prediction result is evaluated. If the migration path of the pollutants may cause the emission to exceed the environmental protection standard, the system will issue a warning signal to prompt the operator to take necessary corrective measures, such as adjusting the smelting parameters or strengthening the operation of pollution control facilities.

[0072] Further, as shown in Figure 3 According to the multi-phase pollution coupling analysis model combined with the heavy metal pollution monitoring data, the path prediction of the heavy metal pollution includes:

[0073] S231: extracting a plurality of heavy metal pollution spectrum signals according to the heavy metal pollution detection data;

[0074] S232: performing deconvolution processing on the heavy metal pollution spectrum signals to obtain the concentration of heavy metal pollutants;

[0075] S233: Perform multi-phase coupling on slag phase pollution, gas phase pollution, and metal phase pollution to construct a multi-phase pollution coupling analysis model;

[0076] S234: Obtain heavy metal pollution distribution according to the multi-phase pollution coupling analysis model, and obtain path prediction results according to the heavy metal pollution distribution.

[0077] In this embodiment, heavy metal pollution monitoring equipment needs to be deployed during implementation. In some embodiments, it is generally preferred to use technologies such as laser-induced breakdown spectroscopy (LIBS) and plasma emission spectroscopy (ICP-OES), which can obtain high-precision heavy metal pollutant spectral signals in a short time. In order to extract effective pollutant concentration information from the original spectral signal, the spectral signal needs to be deconvoluted. Deconvolution refers to a mathematical transformation of the original signal to remove interference signals and accurately obtain the concentration value of the pollutant. Deconvolution can be performed in the following manner: collect pollutant spectral signals during the smelting process through a spectrometer. These signals usually contain overlapping spectra of multiple heavy metal elements. Then, by constructing a spectral library and applying a deconvolution algorithm (such as least squares or Wiener filtering), the mixed signal is decomposed into individual signals of each pollutant. After deconvolution, the spectral signal of each pollutant is compared with the standard spectral library to calculate the concentration data of each pollutant. Subsequently, a multi-phase pollution coupling analysis model is constructed to analyze the gas phase pollution, slag phase pollution, and metal phase pollution. By inputting the concentration data of the pollutants, the model can predict the diffusion direction, speed, and time of arrival of the pollutants to the surrounding environment. For example, the model may show that sulfur dioxide in the smelting process will diffuse to the nearby residential area under the influence of air flow, while lead in the slag phase may flow into the nearby river with the piling of waste slag. The path prediction results can provide accurate distribution information of the pollutants, including the concentration changes of the pollutants at different time periods, and mark potential pollution areas.

[0078] Further, as shown in Figure 4 , a multi-phase coupling analysis model is constructed by coupling slag phase pollution, gas phase pollution, and metal phase pollution, including:

[0079] Single-cycle combinations of slag phase, gas phase, and metal phase are performed to obtain a plurality of two-phase combinations, determine the pollution migration process of the plurality of two-phase combinations, and obtain the coupling relationship of the corresponding two-phase combinations;

[0080] A plurality of migration equations are constructed, and the migration equations represent the pollution migration process and correspond to the two-phase combinations one by one;

[0081] The plurality of migration equations are integrated and linked according to the plurality of coupling relationships to obtain a multi-phase pollution coupling analysis model.

[0082] Specifically, in the implementation process, first, the slag phase pollution, gas phase pollution and metal phase pollution are combined in single cycle, considering the possibility of pollution migration from one phase to another, for example, heavy metals in slag phase pollution may enter the gas phase through high temperature reaction of smelting furnace, sulfur dioxide in gas phase may react with moisture in the air to form secondary pollution, and metal phase pollution is through impurities in liquid metal migration. Through these single cycle combinations, a variety of possible two-phase combinations can be obtained, including slag phase-gas phase combination, gas phase-metal phase combination and slag phase-metal phase combination, then, for each pair of two-phase combination, the migration process of its pollutants is analyzed, for example, in slag phase-gas phase combination, heavy metals migrate to gas phase through high temperature gas flow of smelting furnace and are discharged through exhaust gas; while in gas phase-metal phase combination, harmful gases in gas phase will enter liquid metal through certain chemical reactions, changing the composition of metal, determine the migration process and coupling relationship of each pair of two-phase combination, when building the coupling relationship, the effectiveness of the migration equation needs to be verified and adjusted through experimental data or field monitoring data. For example, by analyzing the gas emissions and waste slag under different smelting conditions, the concentration change trend of pollutants under different conditions is obtained, and then the migration rate and diffusion path of pollutants are back calculated according to the experimental data, after obtaining the coupling relationship of two-phase combination, migration equation is established for each pair of two-phase combination, which is used to describe the migration law of pollutants between two phases, the content of the equation usually includes the concentration change, migration rate and migration path of pollutants, for example, the migration equation of lead (Pb) from slag phase to gas phase is established, which mainly considers the following factors: the concentration of lead in slag phase C sl , the concentration of lead in gas phase C g , temperature T, gas flow rate v g , in this migration equation, Fick's law can be used to describe the diffusion process of pollutants in gas, and the influence of temperature and gas flow rate on migration rate is considered. Assuming that the relationship between migration rate and temperature and gas flow rate is nonlinear, the equation can be expressed as

[0083]

[0084] where k g is the migration coefficient, which depends on the gas flow characteristics of the smelting furnace, A is the reaction area, E ais the activation energy, R is the gas constant; the rest of the migration equations can also be based on the respective coupling relationship, according to a plurality of migration equations, the coupling conditions are determined, that is, the pollutants in different phases can be converted or interacted under certain conditions, therefore, the mutual coupling term needs to be introduced in each equation to represent such interaction, for the slag phase and the gas phase, the slag phase pollutants can be transferred to the gas phase through volatilization or other mass transfer mechanisms, and the gas phase pollutants may enter the slag phase through adsorption or sedimentation, similar coupling relationships exist for the rest of the two-phase combinations, according to a plurality of coupling relationships, the coupling terms of each equation must be considered simultaneously when solving. Generally, an explicit or implicit method is used for numerical solution (such as finite difference method or finite element method), the pollutant concentrations of each phase are updated through time step, and the interaction between them is updated, so as to build a multi-phase pollution coupling analysis model, which can effectively predict the migration process of pollutants between different phases, so as to optimize the pollution control scheme and environmental monitoring.

[0085] Further, the path prediction result is dynamically updated according to the multi-dimensional process parameters, including:

[0086] According to the three-phase pollution information, the pollution release rates of the slag phase pollution, the gas phase pollution and the metal phase pollution are respectively obtained;

[0087] The multi-dimensional process parameters are respectively taken as variables, and the sensitivity analysis is respectively performed on each pollution release rate to obtain a plurality of release rate sensitivities;

[0088] The plurality of release rate sensitivities are respectively taken as adjustment factors to adjust the multi-dimensional process parameters, and the path prediction result is updated according to the adjusted multi-dimensional process parameters.

[0089] As a preferred embodiment of the above, in the path prediction process, first, the pollution release rate of slag phase pollution, gas phase pollution and metal phase pollution is obtained according to the three-phase pollution information respectively, which can be obtained in the following way: for the release rate of slag phase pollution, first, periodically sample the slag for chemical analysis to determine the content of heavy metals and other pollutants, then monitor the temperature of the slag during treatment and storage, high temperature may increase heavy metal volatilization, by analyzing the temperature and chemical reaction of the slag during the process, the release rate under certain conditions can be estimated, for gas phase pollution, use a gas analyzer, such as a gas chromatograph or mass spectrometer, to monitor the concentration of pollutants in the exhaust gas, and combine the flow measurement data of the exhaust gas to calculate the total emission of pollutants, then determine the emission factor according to the historical emission data, and estimate the release rate under certain conditions according to the smelting output and pollutant emission standard; for metal phase pollution, periodically analyze the composition of metal products to determine the heavy metal content, and real-time monitor the process parameters that affect the release of metal phase pollutants, such as smelting temperature, chemical reaction conditions of the metal liquid, based on the chemical composition and physical conditions of the metal liquid, a dynamic simulation model is established to predict the behavior and release rate of harmful elements; according to the determined pollutant release rate, the sensitivity of each pollution release rate can be analyzed by using the control variable method, the analysis method is as follows: according to the release rate of the pollutant and its relationship with the smelting process, select multiple-dimensional process parameters closely related to the pollution release rate, common process parameters include furnace temperature, air flow rate, slag composition, etc., in order to ensure the accuracy of the sensitivity analysis, set the change range of each process parameter according to historical experience data, then select a process parameter as the object to be analyzed, fix the other process parameters, in the case of fixing other parameters, gradually adjust the value of the process parameter to be analyzed, and calculate the change of the pollution release rate after each change. Through this way, the specific influence of the process parameter on the pollution release rate can be understood. Control variable analysis is performed on all selected process parameters, the influence degree of each process parameter on the pollution release rate is recorded, and the sensitivity value is calculated, the sensitivity calculation formula is as follows:

[0090]

[0091] S i Sensitivity of process parameter i to pollution release rate, R i Pollution release rate after change of certain process parameter, R i0 Pollution release rate under baseline conditions, ΔP iThe change amount of the process parameter i is the change amount of the process parameter i, and the sensitivity of each process parameter to the pollution release rate can be obtained by the above calculation method, so as to judge which process parameter has greater influence on the pollution release rate. According to the result of sensitivity analysis, the priority of each process parameter can be sorted, and the parameter which has greater influence on the pollution release rate is considered first. For example, if the sensitivity analysis shows that the temperature in the furnace has greater influence on the slag phase pollution release rate, the change of the temperature should be controlled first in the smelting process to reduce the negative influence of the temperature on the pollution release rate.

[0092] Further, the copper smelting environmental protection evaluation standard is obtained, including:

[0093] Historical heavy metal emission information is collected, and heavy metal pollution sources and historical pollution ranges are obtained;

[0094] According to the historical heavy metal emission information, the historical pollution range is divided into regions combined with the heavy metal pollution sources, and a plurality of pollution regions are obtained;

[0095] An environmental protection gradient evaluation database is established, and the pollution regions and the corresponding copper smelting environmental protection evaluation standards of the pollution regions are obtained according to the environmental protection gradient evaluation database.

[0096] In the embodiment, first, historical heavy metal emission information is collected, which includes the historical heavy metal emission amount, emission type, specific position of the emission source and time period of the emission of the smelting plant. The data source can be obtained through online monitoring equipment, historical reports and records, environmental monitoring agency data, etc. After obtaining the historical heavy metal emission information, the next step is to divide the historical pollution range into regions according to the position of the emission source and the diffusion characteristics of the pollutants, and obtain a plurality of pollution regions: first, the type and quantity of the pollution source (for example, smelting furnace, exhaust emission port, etc.) are determined by combining the historical emission information with the position of the pollution source, and the diffusion process of the pollutants is simulated according to the emission amount of the pollution source and the propagation characteristics of the pollutants (such as wind direction, air flow and other factors). The diffusion model of the pollutants can adopt an atmospheric diffusion model or a fluid dynamics simulation, and the diffusion process of the pollutants is dynamically simulated according to the spatio-temporal characteristics of the historical data. Then, the pollution range is divided into a plurality of regions according to the diffusion of the pollutants. The pollution degree in each region can be evaluated according to the concentration of the pollutants, the air quality index, the pollution degree of the soil and water body and other indicators. Specifically, when dividing the pollution region, the contour method of the concentration of the pollutants can be used to mark the regions of different concentration levels, so as to accurately divide the pollution region. Once the pollution region is divided and determined, an environmental protection gradient evaluation database can be further established, which will be used to dynamically evaluate and obtain the corresponding copper smelting environmental protection evaluation standard according to the specific conditions of different pollution regions.

[0097] Further, the environmental protection gradient evaluation database is established, including:

[0098] Obtain the environmental carrying capacity, and obtain the heavy metal concentration corresponding to the pollution area according to the historical heavy metal emission information;

[0099] According to the environmental carrying capacity, set the copper smelting environmental protection evaluation standard of each pollution area respectively;

[0100] Corresponding to the copper smelting environmental protection evaluation standard of each pollution area respectively, obtain the pollution area and the corresponding pollution area, and combine the index to construct the environmental protection gradient evaluation database.

[0101] Specifically, the environmental carrying capacity refers to the maximum limit that a specific area can withstand pollutant emissions without causing serious environmental degradation. The environmental carrying capacity can be obtained by combining historical environmental monitoring data (such as heavy metal concentration historical data in water, soil, and air) of the area, evaluating whether the area has reached its environmental carrying limit, and then combining online monitoring systems or historical pollution data to obtain heavy metal emission information of smelting plants or surrounding areas. Through monitoring of heavy metal (such as lead, arsenic, cadmium, etc.) emissions, combined with historical emission records, the specific impact range of the pollution source and the pollution concentration in the area are determined. Once the environmental carrying capacity and heavy metal concentration data are obtained, the corresponding copper smelting environmental protection evaluation standard can be set according to the carrying capacity of each pollution area. According to the calculation results of the environmental carrying capacity and the concentration of pollutants, different environmental protection standards are set for each pollution area. These standards include pollutant emission limits, air quality requirements, soil and water restoration requirements, etc. After the pollution area and the environmental protection evaluation standard are determined, each area is divided into several categories (such as heavy pollution, moderate pollution, and light pollution) according to the concentration of pollutants and the environmental carrying capacity of the area, and the corresponding evaluation standard is formulated for each category, which is convenient for query and management. An index needs to be set for each pollution area and its corresponding evaluation standard to form a combined index. For example, a composite index can be constructed according to the type of pollutants (such as lead, arsenic, sulfur dioxide, etc.) and the degree of pollution (such as heavy pollution, moderate pollution, and light pollution, etc.) to construct a database.

[0102] Further, according to the path prediction result, the path prediction result is repaired, including:

[0103] According to the path prediction result, the missing point in the prediction is identified, and the pollution path time sequence is obtained, and the missing point in the prediction is filled with data, and the data filling method is as follows:

[0104]

[0105] Wherein, x1, x2 represent the adjacent time nodes of the missing value in the prediction, y1, y2 represent the path prediction results corresponding to x1, x2 respectively, and y represents the missing value in the prediction.

[0106] Insert the predicted missing value into the path prediction result to complete the path.

[0107] As a preferred embodiment of the above, when performing environmental pollution path prediction, data may be missing due to various reasons (such as equipment failure, data transmission interruption, etc.), and the missing data needs to be filled and repaired: first, the pollution path prediction result is displayed in the form of a time series, the data at consecutive time points is analyzed, the time node of sudden interruption or abnormal change of the data is identified, and the identified missing point is marked to prepare for the subsequent data filling. The marking method can be to record the time stamp of the missing data and related environmental parameters (such as the weather conditions at the time, the activities of surrounding pollution sources, etc.), and the marked prediction missing point can be estimated by linear interpolation, and the missing value is estimated by linear weighted average of the data points before and after the missing point. After filling the data, the filled data value is inserted into the corresponding position in the original path prediction result, thereby completing the migration path of the entire pollutant, which not only improves the integrity of the path prediction, but also helps to more accurately evaluate the potential impact of the pollutant on the environment.

[0108] Embodiment two;

[0109] Based on the same inventive concept as the environmental assessment method for short-process copper smelting preparation in the foregoing embodiments, the present application also provides an environmental assessment system for short-process copper smelting preparation, which comprises:

[0110] A pollution process information extraction module acquires three-phase pollution information and obtains multi-dimensional process parameters, and extracts three-phase pollution according to the three-phase pollution information;

[0111] A pollution path prediction module constructs a pollution dynamic tracking model, performs pollution path prediction on the three-phase pollution according to the pollution dynamic tracking model, and obtains a path prediction result;

[0112] A pollution emission acquisition module dynamically updates the path prediction result according to the multi-dimensional process parameters, obtains a path optimization result, and acquires the pollution emission according to the path optimization result;

[0113] A pollution environmental protection assessment module acquires a copper smelting environmental protection assessment standard, performs environmental protection assessment on the pollution emission according to the copper smelting environmental protection assessment standard, and obtains an environmental protection assessment result.

[0114] The above adjustment system in the present application can effectively realize an environmental assessment method for short-process copper smelting preparation, and can achieve the technical effects as described in the above embodiments, which will not be described here.

[0115] Embodiment three;

[0116] Based on the same inventive concept as the short-process copper smelting preparation environmental protection evaluation method in the foregoing embodiment, the application further provides a short-process copper smelting preparation environmental protection evaluation device, which applies any short-process copper smelting preparation environmental protection evaluation method.

[0117] Although the present application has been described in connection with the preferred embodiments thereof with reference to the specific features and embodiments thereof, it is evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the present description and drawings are to be regarded simply as illustrative of the present application and are to be construed in such a manner that they cover any and all modifications, variations, combinations and equivalents that fall within the scope of the present application. Obviously, various modifications and changes can be made to the present application by those skilled in the art without departing from the scope of the present application. Thus, it is intended that the present application encompass all such modifications and changes and, accordingly, the application is not to be construed as limited to the preferred embodiments thereof.

Claims

1. A method for environmental assessment of short process copper smelting production, characterized in that, The method comprises: Collecting three-phase pollution information and obtaining multi-dimensional process parameters, extracting three-phase pollution according to the three-phase pollution information; Building a pollution dynamic tracking model, predicting the pollution path of the three-phase pollution according to the pollution dynamic tracking model, and obtaining a path prediction result; According to the multi-dimensional process parameters, dynamically updating the path prediction result, obtaining a path optimization result, and obtaining a pollution emission according to the path optimization result, comprising: According to the three-phase pollution information, obtaining the pollution release rate of slag phase pollution, gas phase pollution and metal phase pollution respectively; Taking the multi-dimensional process parameters as variables respectively, performing sensitivity analysis on each pollution release rate respectively, and obtaining a plurality of release rate sensitivities; Taking a plurality of release rate sensitivities as adjustment factors to adjust the multi-dimensional process parameters respectively, updating the path prediction result according to the adjusted multi-dimensional process parameters; Obtaining a copper smelting environmental protection evaluation standard, performing environmental protection evaluation on the pollution emission according to the copper smelting environmental protection evaluation standard, and obtaining an environmental protection evaluation result; Building a pollution dynamic tracking model, comprising: A data layer obtains slag phase pollution, gas phase pollution and metal phase pollution according to the three-phase pollution, and respectively monitors heavy metal pollution of the slag phase pollution, gas phase pollution and metal phase pollution, and obtains heavy metal pollution monitoring data; A model layer builds a multi-phase pollution coupling analysis model, predicts the path of the heavy metal pollution according to the multi-phase pollution coupling analysis model combined with the heavy metal pollution monitoring data, and obtains a path prediction result, comprising: Extracting a plurality of heavy metal pollution spectrum signals according to the heavy metal pollution detection data; Performing deconvolution processing on the heavy metal pollution spectrum signal to obtain heavy metal pollutant concentration; Multi-phase coupling of the slag phase pollution, gas phase pollution and metal phase pollution to build a multi-phase pollution coupling analysis model; According to the multi-phase pollution coupling analysis model, obtaining the heavy metal pollution distribution, and obtaining the path prediction result according to the heavy metal pollution distribution; A decision layer repairs the path according to the path prediction result to obtain a complete path, and sets up a risk early warning according to the copper smelting environmental protection evaluation standard.

2. The short process copper smelting production environmental assessment method according to claim 1, characterized in that, Multi-phase coupling of the slag phase pollution, gas phase pollution and metal phase pollution to build a multi-phase pollution coupling analysis model, comprising: Single-cycle combination of slag phase, gas phase and metal phase to obtain a plurality of two-phase combinations, determine the pollution migration process of a plurality of two-phase combinations, and obtain the coupling relationship corresponding to the two-phase combination; Building a plurality of migration equations, the migration equation representing the pollution migration process, and corresponding to the two-phase combination one by one; According to a plurality of coupling relationships, a plurality of migration equations are integrated and linked to obtain a multi-phase pollution coupling analysis model.

3. The short process copper smelting production environmental assessment method according to claim 1, characterized in that, Obtaining a copper smelting environmental protection evaluation standard, comprising: Collecting historical heavy metal emission information and obtaining heavy metal pollution sources and historical pollution range; According to the historical heavy metal emission information combined with the heavy metal pollution source, the historical pollution range is divided into a plurality of pollution areas. Establish an environmental protection gradient evaluation database, and obtain the pollution area and the copper smelting environmental protection evaluation standard corresponding to the pollution area according to the environmental protection gradient evaluation database.

4. The short process copper smelting production environmental assessment method according to claim 3, characterized in that, The environmental protection gradient evaluation database is established, including: Obtain the environmental carrying capacity, and obtain the heavy metal concentration corresponding to the plurality of pollution areas according to the historical heavy metal emission information; According to the environmental carrying capacity, the copper smelting environmental protection evaluation standard of the plurality of pollution areas is set respectively; The plurality of pollution areas and the copper smelting environmental protection evaluation standard corresponding to the pollution area are respectively obtained, and the environmental protection gradient evaluation database is constructed by combining index.

5. The short process copper smelting production environmental assessment method according to claim 4, characterized in that, According to the path prediction result, the path prediction result is repaired, including: According to the path prediction result, the missing point in prediction is identified, the pollution path time sequence is obtained, and the missing point in prediction is filled with data, and the data filling method is as follows: ； Wherein, y represents the missing value in prediction, x1, x2 represent the adjacent time nodes of the missing value in prediction, y1, y2 represent the path prediction result corresponding to x1, x2 respectively; Insert the missing value in prediction into the path prediction result to complete the path.

6. An environmental assessment system for short process copper smelting production, characterized by, The environmental protection evaluation method for short process copper smelting prepared by the system of claim 1, the system comprising: A pollution process information extraction module acquires three-phase pollution information and obtains multi-dimensional process parameters, and extracts three-phase pollution according to the three-phase pollution information; A pollution path prediction module constructs a pollution dynamic tracking model, and predicts the pollution path of the three-phase pollution according to the pollution dynamic tracking model to obtain a path prediction result; A pollution emission acquisition module dynamically updates the path prediction result according to the multi-dimensional process parameters, obtains a path optimization result, and obtains the pollution emission according to the path optimization result; A pollution environmental protection evaluation module obtains a copper smelting environmental protection evaluation standard, and evaluates the pollution emission according to the copper smelting environmental protection evaluation standard to obtain an environmental protection evaluation result.

7. An environmentally friendly evaluation device for short process copper smelting production, characterized by The device applies the environmental protection evaluation method for short process copper smelting prepared by any one of claims 1-5.

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