CN113695366A

CN113695366A - Intelligent screening method and system for fly ash chelating agent based on environmental monitoring

Info

Publication number: CN113695366A
Application number: CN202111235264.1A
Authority: CN
Inventors: 程小康
Original assignee: Jiangsu Le'er Environmental Technology Co ltd
Current assignee: Jiangsu Le'er Environmental Technology Co ltd
Priority date: 2021-10-22
Filing date: 2021-10-22
Publication date: 2021-11-26
Anticipated expiration: 2041-10-22
Also published as: CN113695366B

Abstract

The invention provides a fly ash chelating agent intelligent screening method and system based on environmental monitoring, wherein the method comprises the following steps: obtaining first fly ash basic information, wherein the first fly ash basic information comprises first component information and first proportion information; acquiring first environment information through a first environment monitoring module; inputting first environmental information into first component information for traversal to obtain a first activity influence coefficient set; inputting the first activity influence coefficient set and the first proportion information into a first weight distribution model to obtain a first weight distribution result; obtaining a first weight preset threshold value, and judging whether the first weight distribution result meets the first weight preset threshold value; extracting corresponding first component information in a first weight distribution result meeting a first weight preset threshold value, and determining first principal component information; and screening the first fly ash chelating agent according to the first main component information to obtain a first screening result.

Description

Intelligent screening method and system for fly ash chelating agent based on environmental monitoring

Technical Field

The invention relates to the technical field related to intelligent manufacturing equipment, in particular to a fly ash chelating agent intelligent screening method and system based on environmental monitoring.

Background

The fly ash is used as a collector of a flue gas purification system, and enriches pollutants such as heavy metals and a small amount of dioxin in flue gas, so that the fly ash is listed as a dangerous waste list, toxic substances in the fly ash can be continuously transferred and converted in the air and released in air, soil and water resources, and heavy metal substances are difficult to degrade and can be transferred and enriched along with a biological chain, so that the fly ash has great significance for treating the fly ash, and the heavy metal substances can cause great harm to the environment and organisms.

At present, the mainstream fly ash treatment mode is to prepare a chelate by using an organic chelating agent and pollutants in fly ash, so that the leaching rate of heavy metals is reduced, and the chelate is buried to a specific position to complete the fly ash treatment. However, the chelating agent has low use mobility because the heavy metals generated by different incinerators have different types and proportions and the stability of the chelate is different under different environments.

However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:

in the prior art, the selection of the chelating agent during the treatment of the fly ash is mainly selected according to the type of the fly ash, and under different burying environmental conditions, the proper chelating agent cannot be selected according to the environment, so that the leaching of pollutants in the chelate can be caused.

Disclosure of Invention

The embodiment of the application provides an intelligent screening method and system for the fly ash chelating agent based on environmental monitoring, and the method and system are used for solving the technical problems that in the prior art, the selection of the chelating agent during fly ash treatment is mainly selected through the fly ash type, and under different burying environmental conditions, a proper chelating agent cannot be selected for the environment, so that the leaching of pollutants in the chelating agent is possibly caused. According to the embodiment of the application, the component information and the proportion information of the fly ash are obtained, the environmental information of the burying environment of the chelate is obtained, and the environmental information is input into the component information for traversal, so that the activity influence coefficient of the environmental information on the component information can be obtained; inputting the activity influence coefficient and the proportion information into a weight distribution model to obtain a first weight distribution result, wherein the first weight distribution result is the weight proportion of the environment information to the activity influence coefficient of the component information; and judging the first weight distribution result through a first weight preset threshold, extracting component information meeting the first weight distribution threshold to obtain principal component information, and then screening the chelating agent types through the principal component information to obtain a screening result. According to the embodiment of the application, different fly ash component information and proportion information are extracted, environment information of different burying environments is extracted, the activity influence coefficient of the environment information on each fly ash component can be obtained, a first weight distribution result for selecting the chelant types is obtained through the proportion information and the activity influence coefficient of the fly ash components, component information corresponding to a part meeting a first weight preset threshold value in the first weight distribution result is extracted and determined to be main component information, the chelant types are selected and screened according to the first weight distribution result for the main component information, finally, the chelant types suitable for the environment information and the fly ash components can be screened, after the chelant reacts with the fly ash to produce the chelate to be buried, the activity of the chelate can be kept stable, and the pollutant in the chelate can be effectively prevented from being leached, the technical effects of improving the treatment quality of the fly ash and avoiding environmental pollution caused by burying the fly ash chelate are achieved.

In view of the above problems, the present application provides a method and a system for intelligently screening a fly ash chelating agent based on environmental monitoring.

In a first aspect of the embodiments of the present application, there is provided a method for intelligently screening a fly ash chelating agent based on environmental monitoring, wherein the method is applied to a flue gas purification system, the system includes an environmental monitoring module, and the method includes: obtaining first fly ash basic information, wherein the first fly ash basic information comprises first component information and first proportion information; acquiring first environment information through the first environment monitoring module, wherein the first environment information is environment information of a preset buried area; inputting the first environmental information into the first component information for traversal to obtain a first activity influence coefficient set; inputting the first activity influence coefficient set and the first proportion information into a first weight distribution model to obtain a first weight distribution result, wherein the first weight distribution result is in one-to-one correspondence with the first component information; obtaining a first weight preset threshold value, and judging whether the first weight distribution result meets the first weight preset threshold value; extracting the corresponding first component information in the first weight distribution result meeting the first weight preset threshold value, and determining first principal component information; and screening the first fly ash chelating agent according to the first main component information to obtain a first screening result.

In a second aspect of the embodiments of the present application, there is provided a fly ash chelant intelligent screening system based on environmental monitoring, wherein the system includes: a first obtaining unit configured to obtain first fly ash basic information, wherein the first fly ash basic information includes first component information and first proportion information; a second obtaining unit, configured to obtain first environment information through the first environment monitoring module, where the first environment information is environment information of a preset buried area; the first processing unit is used for inputting the first environment information into the first component information for traversing to obtain a first activity influence coefficient set; a second processing unit, configured to input the first activity influence coefficient set and the first scale information into a first weight distribution model, and obtain a first weight distribution result, where the first weight distribution result and the first component information are in one-to-one correspondence; the first judging unit is used for obtaining a first weight preset threshold value and judging whether the first weight distribution result meets the first weight preset threshold value or not; a third processing unit, configured to extract the corresponding first component information in the first weight distribution result that meets the first weight preset threshold, and determine first principal component information; and the fourth processing unit is used for screening the first fly ash chelating agent according to the first main component information to obtain a first screening result.

In a third aspect of the embodiments of the present application, there is provided a fly ash chelant intelligent screening system based on environmental monitoring, including: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method according to the first aspect.

One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

according to the embodiment of the application, different fly ash component information and proportion information are extracted, environment information of different burying environments is extracted, the activity influence coefficient of the environment information on each fly ash component can be obtained, a first weight distribution result for selecting the chelant types is obtained through the proportion information and the activity influence coefficient of the fly ash components, component information corresponding to a part meeting a first weight preset threshold value in the first weight distribution result is extracted and determined to be main component information, the chelant types are selected and screened according to the first weight distribution result for the main component information, finally, the chelant types suitable for the environment information and the fly ash components can be screened, after the chelant reacts with the fly ash to produce the chelate to be buried, the activity of the chelate can be kept stable, and the pollutant in the chelate can be effectively prevented from being leached, the technical effects of improving the treatment quality of the fly ash and avoiding environmental pollution caused by burying the fly ash chelate are achieved.

The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.

Drawings

FIG. 1 is a schematic flow chart of a method for intelligently screening a fly ash chelating agent based on environmental monitoring according to an embodiment of the present application;

FIG. 2 is a schematic flow chart of a method for intelligently screening a fly ash chelating agent based on environmental monitoring to obtain first environmental information according to an embodiment of the present application;

FIG. 3 is a schematic flow chart of the process for obtaining fitted environment information in the intelligent screening method for fly ash chelating agents based on environmental monitoring according to the embodiment of the present application;

FIG. 4 is a schematic flow chart of a process for obtaining an activity impact coefficient set in an intelligent screening method for a fly ash chelating agent based on environmental monitoring according to an embodiment of the present application;

FIG. 5 is a schematic flow chart of screening results obtained in an intelligent screening method for a fly ash chelating agent based on environmental monitoring according to an embodiment of the present application;

FIG. 6 is a schematic flow chart of a method for obtaining an optimized particle size in an intelligent screening method of a fly ash chelating agent based on environmental monitoring according to an embodiment of the present application;

FIG. 7 is a schematic flow chart of UV environmental information obtained in an intelligent screening method for fly ash chelating agents based on environmental monitoring according to an embodiment of the present application;

FIG. 8 is a schematic structural diagram of a fly ash chelant intelligent screening system based on environmental monitoring according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.

Description of reference numerals: the device comprises a first obtaining unit 11, a second obtaining unit 12, a first processing unit 13, a second processing unit 14, a first judging unit 15, a third processing unit 16, a fourth processing unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.

Detailed Description

The embodiment of the application provides a fly ash chelating agent intelligent screening method and system based on environmental monitoring, and is used for solving the technical problems that in the prior art, the selection of a chelating agent during fly ash treatment is mainly selected through the fly ash type, and under different burying environmental conditions, a proper chelating agent cannot be selected for the environment, so that the leaching of pollutants in the chelate is possibly caused, and the environmental pollution is caused. According to the embodiment of the application, the component information and the proportion information of the fly ash are obtained, the environmental information of the burying environment of the chelate is obtained, and the environmental information is input into the component information for traversal, so that the activity influence coefficient of the environmental information on the component information can be obtained; inputting the activity influence coefficient and the proportion information into a weight distribution model to obtain a first weight distribution result, wherein the first weight distribution result is the weight proportion of the environment information to the activity influence coefficient of the component information; and judging the first weight distribution result through a first weight preset threshold, extracting component information meeting the first weight distribution threshold to obtain principal component information, and then screening the chelating agent types through the principal component information to obtain a screening result. The chelating agent type suitable for the environmental information and the fly ash component can be screened out, after the chelating agent reacts with the fly ash to produce the chelate to be buried, the chelating agent type suitable for the buried environment can keep the activity of the chelate stable, the pollutant in the chelate is effectively prevented from being leached, the treatment quality of the fly ash is improved, and the technical effect of avoiding the environmental pollution caused by the buried fly ash chelate is achieved.

Example one

As shown in fig. 1, the present application provides a method for intelligently screening a fly ash chelating agent based on environmental monitoring, wherein the method includes:

s100: obtaining first fly ash basic information, wherein the first fly ash basic information comprises first component information and first proportion information;

particularly, because the manufacturing industry of China is huge and the garbage generation amount is huge, and an incineration system is needed in the manufacturing industry and the garbage treatment, the incineration system can generate a large amount of smoke, and a smoke purification system is needed to purify the smoke, so that the atmosphere pollution is avoided. The fly ash is a collection of a flue gas purification system, and contains a large amount of toxic and harmful substances generated by incineration, such as heavy metals, dioxin and the like, so that the fly ash needs to be treated.

The first basic information of the fly ash includes first component information and first proportion information, wherein the first component information is harmful substances to be treated, such as cadmium, lead, zinc, copper, nickel and other heavy metals, dioxin and the like, contained in the fly ash, and the first component information represents the types of the harmful substances contained in the fly ash. The first proportion information is the proportion between the harmful substances to be treated contained in the fly ash, and the types of the harmful substances in the fly ash in the flue gas generated by burning different substances are different, and the proportion of each harmful substance is also different. Said first component information and first proportion information of the fly ash can be determined chemically. According to the embodiment of the application, the first component information and the first proportion information of the harmful substances in the fly ash are detected, the basis of screening the chelating agent for the harmful substances in the fly ash can be adopted, and then the species of the chelating agent for the harmful substances in the fly ash can be screened in a matching manner, so that the harmful substances in the chelating product are fully treated, and the technical effect of accurately screening the chelating agent is achieved.

S200: acquiring first environment information through the first environment monitoring module, wherein the first environment information is environment information of a preset buried area;

specifically, after the fly ash and the chelating agent are subjected to full chelation reaction to generate a chelating product, the chelating product enters a preset buried region for final treatment, molecules of the chelating agent are crosslinked with each other in the chelating reaction to form a net structure, harmful substances such as heavy metal and the like are wrapped in a crosslinked body, and the structure of the chelating product is stable, so that the harmful substances can be kept to be difficult to leach. And the environmental information of the preset buried region may affect the activity of the chelated product, so that the structural stability of the chelated product is weakened, and harmful substances in the chelated product are leached out. For example, a part of the inorganic chelating agent is applied to a smaller pH range, and when the preset pH range of the landfill environment is outside the pH range applied to the inorganic chelating agent, the chelating product may lose stability in structure and thus leach the harmful substance, or when the activity of a part of the harmful substance is enhanced under specific environmental information, the harmful substance may leach from the chelating product under the specific environmental information. Therefore, according to the embodiment of the application, the first environment monitoring module is used for acquiring the first environment information of the preset buried region, so that each environment parameter in the first environment information can be acquired, and further the influence of the first environment information on the stability of the chelated product can be known. Illustratively, the first environmental information includes a temperature, a pH value, etc. of the preset buried region, and the first environmental monitoring module includes a temperature monitoring device, a pH value monitoring device, etc., but is not limited thereto. The embodiment of the application detects the preset buried area through the first environment monitoring module to obtain first environment information, can screen the types of chelating agents according to the first environment information and the basic information of the first fly ash, selects the chelating agents corresponding to the chelating products which can still be kept stable under the first environment information after reaction, further avoids the structural instability of the chelating products under the first environment information, or enhances the activity of partial harmful substances under the first environment information to cause the leaching problem of the harmful substances, and achieves the technical effect of accurately screening the chelating agents according to the buried environment.

S300: inputting the first environmental information into the first component information for traversal to obtain a first activity influence coefficient set;

specifically, the first environmental information is input into the first component information for traversal, which means that the first environmental information performs one-to-one comparison traversal on each component in the first component information of the fly ash to obtain an activity influence coefficient of the first environmental information on each component in the first component information. Illustratively, the influence coefficient of the temperature and the pH value in the first environmental information on the activity of the lead in the chelated product in the first component information can be understood, and the coefficient of the lead leaching possibility from the chelated product in the first environmental information can be further understood.

The activity influence coefficient can be obtained in the historical chelation reaction of the fly ash and the chelating agent, for example, after the chelation reaction of the fly ash is carried out by adopting the chelating agent A, the leaching rate of lead is detected under the environment with variable temperature or pH value, the leaching rate of lead under different environment information can be obtained, the activity coefficient of lead under different environment information is obtained by evaluation, the leaching rate of lead under the first environment information is obtained by evaluation, and finally, the activity influence coefficient set of the first environment information on each harmful substance in the first component information is obtained. According to the embodiment of the application, the first environmental information is input into the first component information to traverse, the activity influence coefficient of the first environmental information in the preset buried region on each component in the first component information can be obtained, the leaching rate of each component in the first component information under the first environmental information is further obtained, according to the activity influence coefficient set, the component with the large activity influence under the first environmental information can be known, the chelating agent type is correspondingly selected according to the component screening, the component with the large activity influence tends to be stable, the leaching of harmful substances in a chelating product can be effectively avoided, and the technical effect of accurately screening the chelating agent type according to the environmental information and the component information is achieved.

S400: inputting the first activity influence coefficient set and the first proportion information into a first weight distribution model to obtain a first weight distribution result, wherein the first weight distribution result is in one-to-one correspondence with the first component information;

specifically, the first activity influence coefficient set and the first scale information are input into a first weight assignment model, and a first weight assignment result is obtained. As described above, the first activity influence coefficient set is a set of activity influence coefficients of the first environment information on the components in the first component information, and the first proportion information is a ratio of the components in the first component. The first weight distribution model is a neural network model in machine learning, reflects many basic characteristics of human brain functions, and is a highly complex nonlinear dynamical learning system. Wherein, it can carry out continuous self-training study according to training data, every group in the multiunit training data all includes: the first activity influence coefficient, the first scale information and identification information for identifying the first weight distribution result, the first weight distribution model is continuously self-corrected, when the output information of the first weight distribution model reaches a preset accuracy/convergence state, the supervised learning process is ended, and at this time, the first weight distribution model can output an accurate first weight distribution result. The first weight distribution result is a weight ratio obtained based on the first activity influence coefficient set and the first scale information. For example, if the first activity influence coefficient of lead in the first environmental information is x and the proportion of lead in the first proportion information is y, the weight of lead in the first weight assignment result is obtained based on x and y, in other words, the weight represents the content of lead in the first proportion information and the activity influence coefficient in the first environmental information, and the type and amount of the chelating agent are selected according to the weight, so that the lead in the first environmental information can be kept stable and the leaching amount is low. According to the method and the device, the accurate first weight distribution result can be output by constructing the first weight distribution model, the chelating agent type and the chelating agent amount selected based on the first weight distribution result can be fully subjected to chelating reaction with each component in the first component information, each component in a chelating product can be kept stable, and the technical effect of accurately screening the chelating agent based on the environmental activity influence coefficient and the ratio of each component is achieved. By carrying out data training on the first weight distribution model, the output first weight distribution result is more accurate, the data information is accurately obtained, and the intelligent technical effect of chelating agent selection is improved.

S500: obtaining a first weight preset threshold value, and judging whether the first weight distribution result meets the first weight preset threshold value;

specifically, the first preset weight threshold is a weight distribution result obtained based on historical experimental data and big data, and is set at the discretion of the staff, and represents a certain level of the set of first weight distribution results, which may be a mean, median or other value combined with the first weight distribution. In historical experimental data and big data of fly ash chelation reaction, a plurality of groups of first activity influence coefficient sets and a plurality of groups of first proportion information can be obtained, and then a plurality of groups of first weight distribution results are obtained through a first weight distribution model. The first weight distribution result meeting the standard may be set as a first weight preset threshold, that is, the first weight preset threshold is a combination of weights of components in the first component information corresponding to the plurality of groups of first weight distribution results, and is not necessarily a certain first weight distribution result. The leaching rate of the chelating product of the chelating reaction of the chelating agent and the fly ash screened by the first weight preset threshold value can be lower than the national standard by the skilled person according to the requirement.

If the part of the first weight distribution result meeting the first weight preset threshold value is the first weight distribution result meeting the first weight preset threshold value, screening the chelating agent according to the first weight distribution result; and if the part of the first weight distribution result which does not meet the first weight preset threshold value, the part of the first weight distribution result which does not meet the first weight preset threshold value does not need to be screened according to the first weight distribution result. Since the first weight assignment result is obtained based on the first activity influence coefficient set and the first scale information, the reason that the portion of the first weight assignment result that does not satisfy the first weight preset threshold is at least one of the following two cases: 1) the proportion of the components in the part of corresponding first component information in the first proportion information is small, the leaching amount is low, and a chelating agent does not need to be screened according to the corresponding weight; 2) the activity influence coefficient of the components in the part corresponding to the first component information under the first environmental information is low, the leaching rate is low, and the chelating agent does not need to be screened according to the corresponding weight. According to the embodiment of the application, whether the first weight distribution result meets the first weight preset threshold value or not can be judged, which components in the first weight distribution result corresponding to the first component information need to be screened according to the first weight distribution result, the importance of the rest components is lower, the leaching rate is lower, the chelating agent does not need to be screened according to the first weight distribution result, the technical effects of accurately screening the chelating agent and reducing the chelating agent cost and the screening cost are achieved.

S600: extracting the corresponding first component information in the first weight distribution result meeting the first weight preset threshold value, and determining first principal component information;

s700: screening a first fly ash chelating agent according to the first main component information to obtain a first screening result;

specifically, the corresponding first component information in the first weight distribution result meeting the first weight preset threshold is extracted, and first principal component information is determined, that is, the chelating agent needs to be screened according to the first weight distribution result, which is the part of the corresponding first component information in the first weight distribution result meeting the first weight preset threshold. In other words, the component in the part of the first component information may also be referred to as first secondary component information, and it is not necessary to screen the chelating agent according to the first weight distribution result with respect to the first secondary component information.

Screening the first fly ash chelating agent according to the first main component information to obtain a first screening result, wherein the first screening result comprises the chelating agent type of the first fly ash chelating agent and the amount of various fly ash chelating agents in the first fly ash chelating agent, the screened first fly ash chelating agent and fly ash are subjected to chelation reaction, and in a chelated product obtained by the reaction, components corresponding to the first component information can be stably combined in the chelated product, and after the first fly ash chelating agent is buried in a preset buried area with first environmental information, the leaching rate is low. According to the embodiment of the application, the first component information corresponding to the part meeting the preset threshold value of the first weight in the first weight distribution result is determined through screening, and is the main component information, so that the main component information which is possibly leached can be effectively screened against the chelating agent, all components in the chelated product are stable and are not leached, the technical effects of accurately screening the chelating agent and reducing the chelating agent cost and the screening cost are achieved.

As shown in fig. 2, step S200 in the method provided in the embodiment of the present application includes:

s210: acquiring first temperature real-time information through the temperature monitoring device;

s220: obtaining first pH value real-time information through the pH value monitoring device;

s230: obtaining a first preset fitting period, and performing hierarchical clustering analysis on the first temperature real-time information and the first pH value real-time information which meet the first preset fitting period respectively to obtain first fitting temperature information and first fitting pH value information;

s240: and taking the first fitting temperature information and the first fitting pH value information as the first environment information.

Specifically, the first environment monitoring module includes a temperature monitoring device and a pH monitoring device, the temperature monitoring device is preferably a thermometer disposed at each location in the preset buried area, and is capable of monitoring temperature information at each location in the preset buried area and average temperature information therein, that is, the first temperature real-time information. The pH monitoring device is preferably a pH meter disposed at each location in the preset buried area, and is capable of monitoring pH information and average pH information at each location in the preset buried area, that is, first pH real-time information.

The first preset fitting period is a time period, and in the first preset fitting period, the temperature monitoring device and the pH value monitoring device continuously monitor first temperature real-time information and first pH value real-time information of a preset buried region to obtain a first temperature real-time information set and a first pH value real-time information set in the first preset fitting period. And carrying out hierarchical clustering analysis on the first temperature real-time information set and the first pH value real-time information set to obtain first fitting temperature information and first fitting pH value information. And (3) aggregating hierarchical clustering, aggregating all real-time information in a period into fitting information, wherein the first fitting temperature information and the first fitting pH value information are temperature value intervals and pH value intervals with higher occurrence frequency in the environment, and performing hierarchical clustering analysis on the first temperature real-time information set and the first pH value real-time information set to obtain representative first fitting temperature information and first fitting pH value information, namely representing the environment information level of the preset burying overdue. Since the preset buried area is generally underground and the degree of transformation of the environmental information therein is small, a person skilled in the art can set the market of the first preset fitting period according to the requirement, for example, the environmental information in the preset buried area within a longer period of time can be obtained by setting longer. According to the embodiment of the application, through carrying out hierarchical clustering analysis, representative temperature information and pH value information in a preset buried region can be obtained, and then as environmental information, the data base of activity influence coefficients of all components in the first component information is obtained, the accurate environmental information data acquisition is achieved, and the technical effect of setting a data base for screening the chelating agent types according to the environmental information influence factors is achieved.

As shown in fig. 3, the method provided in the embodiment of the present application further includes step S800, where step S800 includes:

s810: obtaining a first monitoring duration, and judging whether the first monitoring duration is smaller than the first preset fitting period, wherein the first monitoring duration is timed and reset synchronously along with the fitting period;

s820: when the first monitoring duration is shorter than the first preset fitting period, adjusting the first temperature real-time information to the first fitting temperature information;

s830: and when the first monitoring duration is shorter than the first preset fitting period, adjusting the first pH value real-time information to the first fitting pH value information.

Specifically, the first monitoring duration is any duration of the first environmental information monitored by the preset buried region through the first environmental monitoring module. And judging whether the first monitoring time length is smaller than the first preset fitting period or not, and synchronously resetting the timing of the first monitoring time length along with the fitting period. When the first monitoring duration is longer than the duration of the first preset fitting period, at least one first preset fitting period is timed out in the first monitoring duration, timing of the next first preset fitting period is carried out, but the timing of the first monitoring duration is reset along with the fitting period, so that the timing of the first monitoring duration is restarted when the next first preset fitting period is timed, and the first monitoring duration and the first preset fitting period are synchronously timed. And when the first monitoring duration is equal to the first preset fitting period, timing is synchronized with the first preset fitting period, and the environmental information obtained by monitoring in the first monitoring duration is kept the same as the first environmental information obtained by monitoring in the first preset fitting period.

When the first monitoring duration is shorter than the first preset fitting period, adjusting the first temperature real-time information to the first fitting temperature information; and when the first monitoring duration is shorter than the first preset fitting period, adjusting the first pH value real-time information to the first fitting pH value information. Therefore, the real-time environmental information in the preset buried area can be kept equal to the collected first environmental information, and the situation that the environmental information changes due to the fact that the sudden event of the part of the preset buried area further influences the first activity influence coefficient of the first environmental information on the first component information of the fly ash is avoided. The process of adjusting the environmental information can achieve the purpose of adjusting by heating and cooling the preset buried area and adjusting the pH value. The embodiment of the application is long through setting up first monitoring, makes long timing of first monitoring follow first preset fitting cycle synchronous reset to the real-time environment information that makes preset burying region adjusts to the same with first environmental information, can avoid because the condition that environmental condition changes occasionally influences the active influence coefficient takes place, guarantees that the environmental information of burying region is stable, and then reaches and guarantee accurately that chelate remains stable under this first environmental information, avoids the technological effect that harmful substance leaches.

As shown in fig. 4, step S300 of the embodiment of the present application includes:

s310: constructing a first coordinate system by taking the first fitting temperature information as a first coordinate and the first fitting pH value information as a second coordinate;

s320: obtaining a first component list according to the first component information;

s330: sequentially matching fly ash chelating agents based on the single components of the first component list to obtain a first fly ash chelate list, wherein the first fly ash chelates are the results of the reaction of the single components of the first component list and the fly ash chelating agents in one-to-one correspondence;

s340: inputting the first fly ash chelate list into the first coordinate system to obtain a first activity information set, wherein the first activity information set is a set of activity information of each chelate in the first fly ash chelate list under different temperature and pH conditions;

s350: constructing a second coordinate system by taking the first activity information set as a third coordinate and combining the first coordinate system, wherein the second coordinate system is a three-dimensional coordinate system;

s360: and obtaining a first activity influence coefficient set through the second coordinate system.

Specifically, a first coordinate system is constructed by using the first fitting temperature information as a first coordinate and the first fitting pH information as a second coordinate, where the first coordinate system may be a two-dimensional coordinate system. Illustratively, the first fitting temperature information is an x-axis coordinate, the first pH information is a y-axis coordinate, and a coordinate system is constructed, where the x-axis is temperature information of the preset buried region in a first fitting temperature information interval in the preset fitting period, and the y-axis is pH information of the preset buried region in the first pH fitting information interval in the preset fitting period. The first component list is a list formed by each harmful substance component in the first component information in the fly ash. The first fly ash chelate list is a list of fly ash chelates after chelating reaction of each harmful substance and a chelating agent matched with each harmful substance in the first component list, and the fly ash chelates correspond to the first component list one by one. Illustratively, the zinc in the first component information, the fly ash chelating agent selected based on zinc includes sodium dimethyldithiocarbamate and sodium di-sec-octyl maleate sulfonate, so that the fly ash chelate is obtained by chelating zinc with the fly ash chelating agent.

After each fly ash chelate is buried in the preset buried area, the temperature information and the pH value information in the preset buried area can affect the activity of the fly ash chelate to different degrees, so that after the first fly ash chelate list is input into the first coordinate system, each fly ash chelate can obtain the activity information of the first fly ash chelate under different temperature and pH value conditions under different coordinates of the temperature information and the pH value information, and further obtain a first activity information set of all the first fly ash chelates. And inputting each first activity information in the first activity information set into the first coordinate system to form a second coordinate system of the three-dimensional coordinate system, and exemplarily, forming the second coordinate system by using the first activity information set as a z-axis coordinate. Thus, in the second coordinate system, any point in the second coordinate system comprises temperature information on a temperature coordinate, pH value information on a pH coordinate and activity information on a first activity information set coordinate, so that a change track of the activity information of the same fly ash chelate under the influence of the temperature information and the pH value information is formed, and an activity influence coefficient of the fly ash chelate under the influence of temperature and pH environment information is obtained. And further obtaining the first set of activity impact coefficients based on the first fly ash chelate list. Specifically, at any point in the second coordinate system, a vector from the point to the origin can represent the relationship between the activity information and the temperature and pH information of the corresponding fly ash chelate, a vector set corresponding to one fly ash chelate can represent the influence parameters of the fly ash chelate with the temperature and pH information in the second coordinate system, and a vector matrix corresponding to the first fly ash chelate list is the first activity influence parameter set of all the first fly ash chelates corresponding to the first component list. According to the embodiment of the application, a three-dimensional coordinate system of temperature information, pH value information and activity information is established, a vector matrix from a coordinate point of the fly ash chelate corresponding to the activity information in the three-dimensional coordinate system to an original point under different temperature information and pH value information is taken as a basis, a first activity influence coefficient set of a first fly ash chelate list is obtained in a quantification mode, a coefficient set which takes the temperature information and the pH value information as influence factors and influences the activity of the chelate is accurately obtained, influence coefficients of environment information on the activity and the leaching rate of the chelate are accurately quantified, and the technical effect of screening the chelate according to the environment information can be achieved accurately.

As shown in fig. 5, step S700 in the embodiment of the present application includes:

s710: inputting the first fly ash chelating agent into a chelating condition prediction model to obtain a first prediction result, wherein the first prediction result is a chelating condition meeting standard metal leaching concentration;

s720: obtaining a first preset metal leaching concentration, wherein the first preset metal leaching concentration is less than or equal to the standard metal leaching concentration;

s730: taking the first prediction result meeting the first preset metal leaching concentration as a first chelation condition;

s740: taking the first fly ash chelant and the first chelating conditions as the first screening result.

Specifically, after the proper chelating agent is screened according to the first main component information, the chelating reaction conditions of the fly ash and the chelating agent are selected. In the prior art, the chelating conditions such as the dosing amount, the water addition amount, and the stirring time of the chelating agent in the chelating reaction all affect the stability of the chelate obtained by the chelating reaction and the leaching rate of the pollutants, for example, in a certain range, the leaching rate of the pollutants in the chelate gradually decreases with the increase of the dosing amount of the chelating agent.

The chelation condition prediction model is a neural network model, namely a neural network model in machine learning, reflects many basic characteristics of human brain functions, and is a highly complex nonlinear dynamical learning system. The chelation condition prediction model can perform continuous self-training learning according to training data, and each of the multiple groups of training data comprises: the type of the first fly ash chelating agent and identification information for identifying the first prediction result, the chelating condition prediction model is continuously modified, when the output information of the chelating condition prediction model reaches a preset accuracy rate/convergence state, the supervised learning process is ended, and the chelating condition prediction model can output an accurate first prediction result. Wherein the first prediction result comprises the chelating conditions of the adding amount, the adding amount of water and the stirring time. And the first predicted result corresponding to the first fly ash chelating agent corresponds to the first fly ash basic information. After the first fly ash chelating agent and the fly ash carry out chelating reaction according to the chelating conditions of the first prediction result, the metal leaching concentration of a chelated product needs to be detected, the standard metal leaching concentration is the leaching rate standard in the national landfill control standard, if the metal leaching concentration of the chelated product is less than the standard metal leaching concentration, the first chelating condition corresponding to the first prediction result is qualified, and the chelating agent and the chelating conditions can be screened by taking the first prediction result as the first chelating condition as the first screening result.

The technical personnel in the field can also set a first preset metal leaching concentration according to the requirement, wherein the first preset metal leaching concentration is smaller than the standard leaching concentration, if the metal leaching concentration of the chelated product is smaller than the first preset metal leaching concentration, the first chelated condition corresponding to the first prediction result is qualified, and the obtained first chelated condition can better meet the leaching rate standard in the national landfill control standard. This application embodiment is through right the data training is carried out to chelate condition prediction model, makes it is more accurate that chelate condition prediction model handles input data, and then makes the output first prediction result is also more accurate, and, this application embodiment satisfies the first chelate condition of standard metal leaching concentration through the output, makes after selecting suitable chelant kind, can also make the fly ash carry out the chelation reaction under suitable chelate condition, has reached and has kept chelate product stability, avoids chelate product leaching rate to be greater than the technological effect of national standard.

As shown in fig. 6, the method provided in the embodiment of the present application further includes step S900, where step S900 includes:

s910: obtaining a first chelated product microscopic image information set according to the first screening result;

s920: inputting the first chelated product microscopic image information set into an image feature extraction model to obtain first microscopic morphology feature information;

s930: determining the molecular particle size characteristics of the first fly ash chelating agent according to the first micro-topography characteristic information;

s940: extracting the first fly ash chelant molecular particle size characteristics of the first chelated product corresponding to the first preset metal leaching concentration as the first optimized particle size;

s950: adding the first optimized particle size to the first screening result.

Specifically, after a proper chelating agent type and chelating conditions are selected, a cross-linked network structure is generated after chelating reaction of the chelating agent and fly ash, pollutants such as heavy metals are included in the cross-linked body, the surface appearance of the cross-linked body can reflect the quality of the stability of a chelating product, if more gaps exist on the surface of the cross-linked body, the stability of the chelating product is poor, and if the surface appearance of the cross-linked body is compact, the stability of the chelating product is good and the leaching rate of the metals is low. A set of microscopic image information is obtained for the first chelated product, wherein the set of microscopic image information can be obtained by observing the chelated product through a Scanning Electron Microscope (SEM). And inputting the first chelated product microscopic image information set into an image feature extraction model to obtain first microscopic feature information, wherein the first microscopic feature information comprises particle size feature information of the fly ash chelating agent observable in the microscopic image information, gap feature information on the surface of the chelated product and the like. The image feature extraction model is obtained by training a plurality of groups of training data, each group of training data comprises first chelated product micro image information and identification information for identifying the first micro feature information, and the image feature extraction model can output accurate first micro feature information. From the first micro-topographical information, one skilled in the art can obtain a first fly ash chelant molecular size characteristic of the chelated micro-surface, the first fly ash chelant molecular size characteristic comprising a collection of particle sizes of a first fly ash chelant of various particle sizes, selecting a chelated product with a metal leaching rate lower than the first preset metal leaching concentration from the chelated product to obtain a qualified chelated product, observing the microscopic morphology characteristics of the qualified chelated product to obtain the first fly ash chelating agent molecular particle size characteristics of the chelated product according with the first preset metal leaching concentration, that is, the particle size characteristics of the first fly ash chelating agent molecules can be used as a first optimized particle size, the first fly ash chelating agent meeting the first optimized particle size is selected from the first fly ash chelating agents, and the first fly ash chelating agent not meeting the first optimized particle size is discarded. Illustratively, the first fly ash chelant meeting a first optimized particle size has a particle size greater than the first optimized particle size. And then adding the first optimized particle size into the first screening result, so that the screening of the type, the chelating condition and the particle size of the chelating agent is completed aiming at the basic component information of the fly ash, the environmental information of the preset buried area and the micro-morphology of the chelating product, the accurate screening of the chelating agent from the type, the chelating condition and the particle size is achieved, and the technical problem that the metal leaching rate of the chelating product is greater than the standard under the influence of a plurality of factors is comprehensively avoided.

As shown in fig. 7, the method provided in the embodiment of the present application further includes step S1000, where step S1000 includes:

s1010: acquiring first ultraviolet real-time monitoring data through the ultraviolet monitoring device;

s1020: performing hierarchical clustering analysis on the first ultraviolet real-time monitoring data meeting the first preset fitting period to obtain first fitting ultraviolet monitoring data;

s1030: adding the first fitted ultraviolet monitoring data to the first environmental information.

Specifically, the ultraviolet detection device is any device or apparatus capable of detecting ultraviolet rays in an ultraviolet-ray-absorbable region in a predetermined buried region in the related art, and is capable of detecting the intensity, wavelength, and the like of ultraviolet rays in the predetermined buried region. The first ultraviolet real-time monitoring data are ultraviolet detection data which are obtained by detecting the ultraviolet detection device in the preset buried region and take time in a first preset fitting period as a sequence. And carrying out hierarchical clustering analysis on the ultraviolet real-time monitoring data to obtain an interval of ultraviolet information with the highest frequency, namely the first fitting ultraviolet detection data. Based on this before next preset fitting cycle arrives, it is lower to rely on the cost that dynamic adjustment kept ultraviolet information to consume, and with environmental adaptation, is difficult to receive external environment influence, and the chelating agent of selecting for use on this basis again is stronger to the adaptability of environment. And adding the first fitted ultraviolet monitoring data into the first environment information, traversing the first component information input into the fly ash, obtaining an activity influence coefficient set of each component in the first component information by ultraviolet, and adjusting a first screening result based on the activity influence coefficient set, so that the condition that the activity of a chelated product is influenced by the ultraviolet in a buried environment where part of sunlight can be ingested, and further the leaching rate of the metal of the chelated product is higher is avoided. According to the embodiment of the application, the screening result of the chelating agent is adjusted by comprehensively presetting the ultraviolet information of the burying environment, and the technical effect of accurately screening the chelating agent more comprehensively according to the information of the burying environment is further achieved.

In summary, the method provided by the embodiment of the application can screen out the chelating agent suitable for the environmental information, the fly ash component and the proper particle size, and after the chelating agent reacts with the fly ash to produce the chelate to be buried, the chelating agent type, the chelating condition and the chelating agent with the proper particle size suitable for the burying environment can keep stable activity of the chelate, so that the pollutants in the chelate can be effectively prevented from being leached, the treatment quality of the fly ash is improved, and the technical effect of avoiding environmental pollution caused by burying the fly ash chelate is achieved.

Example two

Based on the same inventive concept as the method for intelligently screening the fly ash chelating agent based on environmental monitoring in the previous embodiment, as shown in fig. 8, the present embodiment provides an intelligent screening system for the fly ash chelating agent based on environmental monitoring, wherein the apparatus includes:

a first obtaining unit 11, wherein the first obtaining unit 11 is configured to obtain first fly ash basic information, and the first fly ash basic information includes first component information and first proportion information;

a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain first environmental information through the first environmental monitoring module, where the first environmental information is environmental information of a preset buried area;

the first processing unit 13 is configured to input the first environmental information into the first component information for traversal, so as to obtain a first activity influence coefficient set;

a second processing unit 14, where the second processing unit 14 is configured to input the first activity influence coefficient set and the first scale information into a first weight distribution model to obtain a first weight distribution result, where the first weight distribution result and the first component information are in one-to-one correspondence;

a first judging unit 15, where the first judging unit 15 is configured to obtain a first weight preset threshold, and judge whether the first weight distribution result meets the first weight preset threshold;

a third processing unit 16, where the third processing unit 16 is configured to extract the corresponding first component information in the first weight distribution result that meets the first weight preset threshold, and determine first principal component information;

a fourth processing unit 17, wherein the fourth processing unit 17 is configured to screen the first fly ash chelating agent according to the first principal component information to obtain a first screening result.

Further, the system further comprises:

the third obtaining unit is used for obtaining the first temperature real-time information through the temperature monitoring device;

the fourth obtaining unit is used for obtaining the first pH value real-time information through the pH value monitoring device;

the fifth processing unit is used for obtaining a first preset fitting period, and performing hierarchical clustering analysis on the first temperature real-time information and the first pH value real-time information which meet the first preset fitting period to obtain first fitting temperature information and first fitting pH value information;

and the sixth processing unit is used for taking the first fitting temperature information and the first fitting pH value information as the first environment information.

Further, the system further comprises:

the second judging unit is used for obtaining a first monitoring duration and judging whether the first monitoring duration is smaller than the first preset fitting period, wherein the first monitoring duration is reset synchronously with the first preset fitting period;

the first management unit is used for adjusting the first temperature real-time information to the first fitting temperature information when the first monitoring duration is smaller than the first preset fitting period;

and the second management unit is used for adjusting the first pH value real-time information to the first fitting pH value information when the first monitoring duration is less than the first preset fitting period.

Further, the system further comprises: constructing a first coordinate system by taking the first fitting temperature information as a first coordinate and the first fitting pH value information as a second coordinate;

a fifth obtaining unit, configured to obtain a first component list according to the first component information;

a seventh processing unit, configured to match fly ash chelating agents in sequence based on a single component of the first component list to obtain a first fly ash chelate list, where the first fly ash chelates are the results of reactions between the single component of the first component list and the fly ash chelating agents in a one-to-one correspondence;

an eighth processing unit, configured to input the first fly ash chelate list into the first coordinate system, to obtain a first activity information set, where the first activity information set is a set of activity information of each chelate in the first fly ash chelate list under different temperature and pH conditions;

a ninth processing unit, configured to construct a second coordinate system by using the first activity information set as a third coordinate and combining the first coordinate system, wherein the second coordinate system is a three-dimensional coordinate system;

a tenth processing unit for obtaining a first set of activity impact coefficients by the second coordinate system.

Further, the system further comprises:

an eleventh processing unit, configured to input the first fly ash chelating agent into a chelating condition prediction model to obtain a first prediction result, where the first prediction result is a chelating condition that satisfies a standard metal leaching concentration;

a sixth obtaining unit configured to obtain a first preset metal leaching concentration, where the first preset metal leaching concentration is less than or equal to the standard metal leaching concentration;

a twelfth processing unit for regarding the first prediction result that satisfies the first preset metal leaching concentration as a first chelation condition;

a thirteenth treatment unit for treating the first fly ash chelant and the first chelating conditions as the first screening result.

Further, the system further comprises:

a seventh obtaining unit, configured to obtain a first chelate product microscopic image information set according to the first screening result;

a fourteenth processing unit, configured to input the first chelated product microscopic image information set into an image feature extraction model, so as to obtain first microscopic morphology feature information;

a fifteenth processing unit for determining a first fly ash chelant molecular size characteristic from the first micro-topography characteristic information;

a sixteenth processing unit, configured to extract, as the first optimized particle size, the particle size characteristic of the first fly ash chelant molecule of the first chelated product corresponding to the first preset metal leaching concentration;

a seventeenth processing unit to add the first optimized particle size to the first screening result.

Further, the system further comprises:

an eighth obtaining unit, configured to obtain, by the ultraviolet monitoring device, first ultraviolet real-time monitoring data;

an eighteenth processing unit, configured to perform hierarchical clustering analysis on the first ultraviolet real-time monitoring data meeting the first preset fitting period to obtain first fitted ultraviolet monitoring data;

a nineteenth processing unit to add the first fitted ultraviolet monitoring data to the first environmental information.

The electronic apparatus of the embodiment of the present application is described below with reference to fig. 9.

Based on the same inventive concept as the fly ash chelant intelligent screening method based on environmental monitoring in the previous embodiment, the embodiment of the application also provides a fly ash chelant intelligent screening system based on environmental monitoring, which comprises: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes the system to perform the steps of the method of embodiment one.

The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 9, but this does not indicate only one bus or one type of bus.

Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of programs in accordance with the teachings of the present application.

The communication interface 303 is a system using any transceiver or the like, and is used for communicating with other devices or communication networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), wired access network, and the like.

The memory 301 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disc read-only memory (compact disc)

read-only memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.

The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, so as to implement the method for intelligently screening the fly ash chelating agent based on environmental monitoring provided by the above-mentioned embodiments of the present application.

Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.

According to the embodiment of the application, different fly ash component information and proportion information are extracted, environment information of different burying environments is extracted, micro-morphology of different chelating products is extracted, an activity influence coefficient of the environment information on each fly ash component can be obtained, a first weight distribution result for chelating agent type selection is obtained through the proportion information and the activity influence coefficient of the fly ash components, component information corresponding to a part meeting a first weight preset threshold value in the first weight distribution result is extracted and determined to be main component information, the main component information is selected and screened according to the first weight distribution result, and finally chelating agents and chelating conditions suitable for the environment information, the fly ash components and proper particle sizes can be screened. The method provided by the embodiment of the application can screen out the chelating agent suitable for the environmental information, the fly ash component and the proper particle size, and after the chelating agent reacts with the fly ash to produce the chelate for burying, the chelating agent type, the chelating condition and the chelating agent with the proper particle size suitable for the burying environment can keep the stable activity of the chelate, effectively prevent the pollutant in the chelate from being leached, achieve the technical effects of improving the treatment quality of the fly ash and avoiding the environmental pollution caused by burying the fly ash chelate.

Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer finger

The instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, where the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The various illustrative logical units and circuits described in this application may be implemented or operated upon by general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.

The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.

Claims

1. An intelligent screening method for a fly ash chelating agent based on environmental monitoring, wherein the method is applied to a flue gas purification system, the system comprises an environmental monitoring module, and the method comprises the following steps:

obtaining first fly ash basic information, wherein the first fly ash basic information comprises first component information and first proportion information;

acquiring first environment information through the environment monitoring module, wherein the first environment information is environment information of a preset buried area;

inputting the first environmental information into the first component information for traversal to obtain a first activity influence coefficient set;

inputting the first activity influence coefficient set and the first proportion information into a first weight distribution model to obtain a first weight distribution result, wherein the first weight distribution result is in one-to-one correspondence with the first component information;

obtaining a first weight preset threshold value, and judging whether the first weight distribution result meets the first weight preset threshold value;

extracting the corresponding first component information in the first weight distribution result meeting the first weight preset threshold value, and determining first principal component information;

screening a first fly ash chelating agent according to the first main component information to obtain a first screening result;

the method comprises the following steps of obtaining first environmental information through the environment monitoring module, wherein the environment monitoring module comprises a temperature monitoring device and a pH value monitoring device, and the method comprises the following steps:

acquiring first temperature real-time information through the temperature monitoring device;

obtaining first pH value real-time information through the pH value monitoring device;

obtaining a first preset fitting period, and performing hierarchical clustering analysis on the first temperature real-time information and the first pH value real-time information which meet the first preset fitting period respectively to obtain first fitting temperature information and first fitting pH value information;

taking the first fitting temperature information and the first fitting pH value information as the first environment information;

inputting the first environmental information into the first component information for traversal, and obtaining a first activity influence coefficient set, where the method includes:

constructing a first coordinate system by taking the first fitting temperature information as a first coordinate and the first fitting pH value information as a second coordinate;

obtaining a first component list according to the first component information;

sequentially matching fly ash chelating agents based on the single components of the first component list to obtain a first fly ash chelate list, wherein the first fly ash chelate is the result of chelation reaction of the single components of the first component list and the fly ash chelating agents matched with the single components;

inputting the first fly ash chelate list into the first coordinate system to obtain a first activity information set, wherein the first activity information set is a set of activity information of each chelate in the first fly ash chelate list under different temperature and pH conditions;

constructing a second coordinate system by taking the first activity information set as a third coordinate and combining the first coordinate system, wherein the second coordinate system is a three-dimensional coordinate system;

and obtaining a first activity influence coefficient set through the second coordinate system.

2. The method of claim 1, wherein the method further comprises:

obtaining a first monitoring duration, and judging whether the first monitoring duration is smaller than the first preset fitting period, wherein the first monitoring duration is reset synchronously with the first preset fitting period;

when the first monitoring duration is shorter than the first preset fitting period, adjusting the first temperature real-time information to the first fitting temperature information;

and when the first monitoring duration is shorter than the first preset fitting period, adjusting the first pH value real-time information to the first fitting pH value information.

3. The method of claim 1, wherein the screening the first fly ash chelant based on the first principal component information to obtain a first screening result comprises:

inputting the first fly ash chelating agent into a chelating condition prediction model to obtain a first prediction result, wherein the first prediction result is a chelating condition meeting standard metal leaching concentration;

obtaining a first preset metal leaching concentration, wherein the first preset metal leaching concentration is less than or equal to the standard metal leaching concentration;

taking the first prediction result meeting the first preset metal leaching concentration as a first chelation condition;

taking the first fly ash chelant and the first chelating conditions as the first screening result.

4. The method of claim 3, wherein the method further comprises:

obtaining a first chelated product microscopic image information set according to the first screening result;

inputting the first chelated product microscopic image information set into an image feature extraction model to obtain first microscopic morphology feature information;

determining the molecular particle size characteristics of the first fly ash chelating agent according to the first micro-topography characteristic information;

extracting the particle size characteristics of the first fly ash chelant molecules of a first chelated product corresponding to the first preset metal leaching concentration to serve as a first optimized particle size;

adding the first optimized particle size to the first screening result.

5. The method of claim 1, wherein the first environmental monitoring module further comprises an ultraviolet monitoring device, the method comprising:

acquiring first ultraviolet real-time monitoring data through the ultraviolet monitoring device;

performing hierarchical clustering analysis on the first ultraviolet real-time monitoring data meeting the first preset fitting period to obtain first fitting ultraviolet monitoring data;

adding the first fitted ultraviolet monitoring data to the first environmental information.

6. A fly ash chelant intelligent screening system based on environmental monitoring, wherein the system comprises:

a first obtaining unit configured to obtain first fly ash basic information, wherein the first fly ash basic information includes first component information and first proportion information;

the second obtaining unit is used for obtaining first environment information through the first environment monitoring module, wherein the first environment information is environment information of a preset buried area;

the first processing unit is used for inputting the first environment information into the first component information for traversing to obtain a first activity influence coefficient set;

a second processing unit, configured to input the first activity influence coefficient set and the first scale information into a first weight distribution model, and obtain a first weight distribution result, where the first weight distribution result and the first component information are in one-to-one correspondence;

the first judging unit is used for obtaining a first weight preset threshold value and judging whether the first weight distribution result meets the first weight preset threshold value or not;

a third processing unit, configured to extract the corresponding first component information in the first weight distribution result that meets the first weight preset threshold, and determine first principal component information;

a fourth processing unit, configured to screen a first fly ash chelating agent according to the first principal component information, so as to obtain a first screening result;

wherein the system further comprises:

a sixth processing unit configured to use the first fitting temperature information and the first fitting pH information as the first environmental information;

wherein the system further comprises:

a seventh processing unit, configured to sequentially match fly ash chelating agents based on a single component of the first component list to obtain a first fly ash chelate list, where the first fly ash chelate is a result of a chelation reaction between the single component of the first component list and the fly ash chelating agent matched with the single component;

7. An intelligent screening system of fly ash chelants based on environmental monitoring, comprising: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method of any of claims 1 to 5.