A green optimization method based on barium slag harmless treatment process

Abstract

The present application relates to the technical field of solid waste treatment, and particularly relates to a green optimization method based on a barium residue harmless treatment process, which comprises the following steps: obtaining pH values, oxidation-reduction state values, leaching barium concentration values, sulfide concentration values and input resource data of each treatment round in the process stage of barium residue harmless treatment; selecting an inflection point round from the treatment rounds according to the pH values and the oxidation-reduction state values of the treatment rounds, and obtaining a steady-state confidence degree of the inflection point round; obtaining a state convergence degree of a current treatment round in combination with the leaching barium concentration values and the sulfide concentration values of the treatment rounds after the inflection point round; and regulating and controlling the barium residue harmless treatment process according to the state convergence degree of the current treatment round and a delayed release residual degree. The present application realizes dynamic regulation and control of the barium residue harmless treatment process by analyzing treatment process data of each treatment round in the process of barium residue harmless treatment.

Description

Technical Field

[0001] This invention relates to the field of solid waste treatment technology, specifically to a green optimization method based on the harmless treatment process of barium slag. Background Technology

[0002] Barium slag is a type of industrial solid waste generated during barium salt production, metal smelting, and chemical processing. It typically contains soluble barium, sulfides, and other environmentally hazardous active components. Due to the migratory and delayed-release characteristics of the harmful components in barium slag, its actual treatment usually requires multiple harmless treatment processes such as oxidation, neutralization, washing, and aging to gradually stabilize the active components and reduce subsequent leaching risks. However, most existing harmless treatment methods for barium slag rely solely on single test results or fixed treatment cycles to judge the treatment status, making it difficult to effectively identify the delayed release of active components after the apparent environment has stabilized. This often results in situations where the surface environment has stabilized but internal components continue to be released. Summary of the Invention

[0003] This invention provides a green optimization method based on the harmless treatment process of barium slag to solve the existing problems: existing harmless treatment methods for barium slag are difficult to effectively identify the delayed release phenomenon of active components inside barium slag after the apparent environment has stabilized, and it is easy for the surface environment to stabilize but the internal components to continue to be released.

[0004] The present invention provides a green optimization method based on the harmless treatment process of barium slag, which adopts the following technical solution: Includes the following steps: To obtain data on pH value, redox state value, leached barium concentration, sulfide concentration value, and input resources for each treatment cycle in the process of harmless treatment of barium slag. Based on the pH value and redox state value of each treatment round, the pH value retention amount and redox state value retention amount of each treatment round are obtained, and then the inflection point rounds are screened out from the treatment rounds; based on the pH value retention amount and redox state value retention amount of the inflection point rounds, the steady-state confidence of the inflection point rounds is obtained. Based on the leaching barium concentration and sulfide concentration values ​​of the treatment rounds after the inflection point, the delayed release duration of the current treatment round is obtained. Combined with the steady-state confidence of the inflection point round, the delayed release margin of the current treatment round is obtained. Based on the delayed release margin of the current treatment round and the previous treatment round, combined with the resource input data of the current treatment round, the state convergence degree of the current treatment round is obtained. The process for harmless treatment of barium slag is adjusted based on the degree of convergence and the degree of delayed release in the current treatment cycle.

[0005] Preferably, the method for obtaining the pH retention amount and redox state retention amount for each treatment round based on the pH value and redox state value of each treatment round includes: For any treatment round, the difference between the pH value of the treatment round and the pH value of the next treatment round is negatively correlated and linearly normalized. The normalized result is recorded as the pH stability factor of the treatment round. The difference between the pH value of the treatment round and the preset reference pH value is negatively correlated and linearly normalized. The normalized result is recorded as the pH value target approach factor of the treatment round. By using preset stability factor weights and target approach factor weights, the pH stability factor and pH target approach factor of the treatment round are weighted and summed, and the sum is used as the pH retention amount of the treatment round. Similarly, the redox state value retention amount for the processing rounds is obtained.

[0006] Preferably, the specific method for selecting the inflection point round from the processing rounds is as follows: For any treatment round, if the pH value retention and redox state value retention of the treatment round are both greater than the preset retention threshold, then the treatment round is recorded as a candidate inflection point round; and the first candidate inflection point round is taken as the inflection point round. If the number of candidate inflection point rounds is 0, then maintain the processing type and resource input parameters corresponding to the current processing round, and execute the next processing round until a candidate inflection point round is obtained.

[0007] Preferably, the method for obtaining the steady-state confidence level of the inflection point cycle based on the pH retention and redox state retention of the inflection point cycle includes: The steady-state confidence level of the inflection point cycle is positively correlated with the pH retention of the inflection point cycle; The steady-state confidence level of the inflection point cycle is positively correlated with the redox state value retention of the inflection point cycle; The steady-state confidence level of the inflection point cycle and the difference between the pH retention and redox state retention of the inflection point cycle are negatively correlated.

[0008] Preferably, the method for obtaining the delayed release duration of the current treatment round based on the leaching barium concentration and sulfide concentration values ​​of the treatment rounds after the inflection point includes the following specific methods: The processing rounds after the inflection point are denoted as the delayed release observation rounds. For any delayed release observation round, the leaching barium concentration value of the delayed release observation round is linearly normalized, and the normalization result is used as the leaching barium concentration coefficient of the delayed release observation round. The sulfide concentration values ​​of the delayed-release observation rounds were linearly normalized, and the normalization result was used as the sulfide concentration coefficient of the delayed-release observation rounds. The maximum value between the leaching barium concentration coefficient and the sulfide concentration coefficient of the delayed-release observation round is taken as the release margin coefficient of the delayed-release observation round. If the difference between the release margin coefficient of the delayed-release observation round and the release margin coefficient of the next delayed-release observation round is less than a preset descent threshold, then the delayed-release observation round is recorded as a delayed-release round. Based on the proportion of delayed-release cycles in the total delayed-release observation cycles, and combined with the release margin coefficient of all delayed-release observation cycles, the delay-release duration of the current treatment cycle is obtained.

[0009] Preferably, the method for obtaining the delayed-release duration of the current treatment round based on the proportion of delayed-release rounds in the delayed-release observation rounds, combined with the release margin coefficient of all delayed-release observation rounds, includes the following specific methods: The product of subtracting the mean of the release margin coefficients of all delayed-release observation rounds from 1 and multiplying it by the proportion of delayed-release rounds in the delayed-release observation rounds is used as the delayed-release correction amount. The sum of the mean of the release margin coefficients of all delayed-release observation rounds and the delayed-release correction amount is used as the delayed-release duration of the current treatment round.

[0010] Preferably, the specific method for obtaining the degree of delayed release margin in the current processing round is as follows: The ratio obtained by subtracting the steady-state confidence level of the inflection point round from the previous round's delayed release duration ratio is used as the delayed release margin coefficient for the current processing round. The delayed release margin coefficient of the current processing round is linearly normalized, and the normalized result is used as the degree of delayed release margin of the current processing round.

[0011] Preferably, the method for obtaining the state convergence degree of the current processing round based on the delayed release margin of the current processing round and the resource input data of the current processing round includes: The data on input resources includes the dosage of medicine, the amount of washing water, and energy consumption. Linear normalization is performed on the resource input data of the current processing round, and the normalization result is used as the cost coefficient of each resource input in the current processing round. The cost weights of each input resource data are preset. The cost coefficients of each input resource in the current processing round are weighted and summed based on the cost weights of each input resource data. The sum is used as the cost factor of the current processing round. The marginal revenue coefficient of the current processing round is obtained by subtracting the degree of delayed release from the degree of delayed release in the previous processing round from the degree of delayed release in the current processing round, and then dividing the difference by the cost factor of the current processing round. The degree of convergence of the current processing round is obtained based on the marginal revenue coefficient and the degree of delayed release of the current processing round.

[0012] Preferably, the method for obtaining the state convergence degree of the current processing round based on the marginal revenue coefficient and the degree of delayed release of the current processing round includes: The absolute value of the difference between the degree of delayed release in the current processing round and the marginal revenue coefficient is used as the revenue gap coefficient for the current processing round. The ratio of the product of the delayed release margin of the current processing round and the marginal revenue coefficient to the sum of the delayed release margin of the current processing round and the revenue gap coefficient is taken as the state convergence degree of the current processing round.

[0013] Preferably, the method for adjusting the barium slag harmless treatment process based on the convergence degree and delayed release level of the current treatment cycle includes: A state convergence threshold and a delayed release margin threshold are preset. If the state convergence of the current processing round is greater than the state convergence threshold, the processing type and resource input parameters corresponding to the current processing round are maintained, and the next processing round is executed. If the state convergence degree of the current processing round is less than or equal to the state convergence degree threshold, and the delayed release degree of the current processing round is less than or equal to the delayed release degree threshold, then proceed to the next stage of the barium slag harmless treatment process. If the state convergence degree of the current processing round is less than or equal to the state convergence degree threshold, and the delay margin degree of the current processing round is greater than the delay margin degree threshold, then adjust the processing type and resource input parameters corresponding to the current processing round and execute the next processing round.

[0014] The beneficial effects of the technical solution of this invention are as follows: This invention obtains the pH value, redox state value, leached barium concentration value, sulfide concentration value, and input resource data of each treatment round during the harmless treatment of barium slag. Based on the pH value retention and redox state value retention, it screens the inflection point rounds and further combines steady-state confidence analysis to determine the true stability of the current treatment environment, thereby avoiding misjudgment of the treatment state based solely on a single detection result. Simultaneously, by continuously analyzing the leached barium concentration value and sulfide concentration value after the inflection point round, it obtains the degree of delayed release continuity and delayed release residue, enabling the identification of the apparent environment... The delayed release phenomenon, where the internal active components continue to be released even when the environment has stabilized, enhances the ability to identify the risk of delayed release. Furthermore, by combining the degree of delayed release margin with the convergence of state data obtained from resource input, it is possible to simultaneously analyze the relationship between the delayed release improvement effect and resource input return at the current treatment stage, thereby avoiding high-cost repeated treatment when the delayed release improvement effect has already approached saturation. Finally, the barium slag harmless treatment process is dynamically controlled through the state convergence degree and the degree of delayed release margin, thereby improving the stability, resource utilization efficiency, and rationality of treatment control in the barium slag harmless treatment. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart illustrating the steps of a green optimization method based on the harmless treatment process of barium slag according to the present invention. Detailed Implementation

[0017] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a green optimization method based on a barium slag harmless treatment process proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0018] 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 invention pertains.

[0019] The following description, in conjunction with the accompanying drawings, details a specific scheme for a green optimization method based on the harmless treatment process of barium slag provided by this invention.

[0020] Please see Figure 1 The diagram illustrates a flowchart of a green optimization method based on a barium slag harmless treatment process according to an embodiment of the present invention. The method includes the following steps: Step S001: Obtain the pH value, redox state value, leached barium concentration value, sulfide concentration value, and input resource data for each treatment cycle in the process stage of barium slag harmless treatment.

[0021] It should be noted that in the process of harmless treatment of barium slag, different process stages usually require multiple rounds of repeated treatment before the internal active components gradually stabilize. However, the surface slurry environment often changes before the internal release state, meaning that a single test result cannot accurately reflect the current treatment state. Therefore, this embodiment uses the treatment round as a continuous analysis unit, continuously recording the pH value, redox state value, leached barium concentration value, sulfide concentration value, and input resource data in each treatment round. This allows for subsequent analysis based on the continuous change process to determine the stability trend of the current treatment state, the release trend of internal components, and the resource benefit relationship of the current treatment, providing a basis for subsequent process control.

[0022] Specifically, the harmless treatment of barium slag includes processes such as oxidation, neutralization, washing, and aging. Each process stage contains at least... Each processing round, the This is the preset minimum number of processing rounds. The specific value can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, it is used as... (Taking 3 as an example), the processing round refers to the complete processing unit within this process stage, from the completion of operations such as dosing, adding water, and stirring, and reaching the state ready for inspection, to the start of the next processing round; The pH value, redox state value, leached barium concentration value, and sulfide concentration value of each treatment round in the process stage of barium slag harmless treatment are obtained under the test state. These values ​​are used as the pH value, redox state value, leached barium concentration value, and sulfide concentration value of each treatment round in the process stage of barium slag harmless treatment. The resource input data for each treatment round are also recorded, including: dosage of chemicals, washing water volume, energy consumption, etc.

[0023] For example, in the fifth treatment cycle of the oxidation stage of the harmless treatment of barium slag, the pH value, redox state value, leached barium concentration value, and sulfide concentration value of the fifth treatment cycle are used to analyze and determine whether to execute the sixth treatment cycle or proceed to the next process stage.

[0024] Step S002: Based on the pH value and redox state value of each treatment round, obtain the pH value retention amount and redox state value retention amount of each treatment round, and then screen out the inflection point rounds from the treatment rounds; based on the pH value retention amount and redox state value retention amount of the inflection point rounds, obtain the steady-state confidence level of the inflection point rounds.

[0025] It should be noted that during the harmless treatment of barium slag, the pH value and redox state value usually enter the target range before the release state of internal harmful components. Therefore, relying solely on whether the target is met at a certain moment can easily misjudge short-term stability as true stability. Therefore, this embodiment not only analyzes whether the pH value and redox state value of the current treatment cycle are close to the target range, but also further analyzes whether the current treatment cycle and the next treatment cycle remain stable. Thus, the target approach trend and the cycle maintenance trend jointly reflect whether the current treatment state has formed a continuous stable trend. At the same time, by simultaneously analyzing the consistency between the pH value maintenance amount and the redox state value maintenance amount, the steady-state confidence obtained later can more accurately reflect the true stable state of the current treatment environment.

[0026] Specifically, for any treatment round, the difference between the pH value of the treatment round and the pH value of the next treatment round is subjected to negative correlation linear normalization (normalization can be performed first using a maximum and minimum value normalization function, and then the difference between the maximum and minimum value normalization results is subtracted from 1 as the specific process of negative correlation linear normalization. The maximum and minimum values ​​can be obtained based on historical data or prior experience. Adjusting, calibrating or optimizing the maximum and minimum values ​​does not constitute a limitation of this invention. The final normalization range is [0, 1]). The obtained normalization result is recorded as the pH value stabilization factor of the treatment round. The difference between the pH value of the treatment round and the preset reference pH value is negatively correlated and linearly normalized. The normalized result is recorded as the pH value target approach factor of the treatment round. The specific value of the reference pH value can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, the reference pH value is 9 as an example. The pH stabilization factor and the target approach factor are preset with weights. The specific values ​​of the stabilization factor and the target approach factor can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, the stabilization factor weight is equal to 0.5 and the target approach factor weight is equal to 0.5 as an example. The pH stabilization factor and the pH target approach factor of the treatment round are weighted and summed. The sum is used as the pH retention amount of the treatment round. Similarly, the redox state value retention amount for the processing rounds is obtained.

[0027] It should be noted that the pH stability factor represents the degree of pH fluctuation between treatment rounds and the next treatment round. The higher the value, the smaller the pH change between adjacent rounds, and the more stable the treatment state is between stages. The pH target approach factor is used to measure the closeness between the pH value of the current treatment round and the preset reference pH value. The higher the value, the closer the current pH value is to the target treatment range. Therefore, the pH retention amount obtained by the pH stability factor and the pH target approach factor can reflect the degree of target fit and inter-stage stability of the treatment rounds in the pH dimension, so as to reflect whether the current treatment result has formed a continuous stable trend. The logic for obtaining the redox state value retention amount is the same, so it will not be described again in this embodiment.

[0028] Specifically, for any treatment round, if the pH value retention and redox state value retention of the treatment round are both greater than the preset retention threshold, the specific value of the retention threshold can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, the retention threshold is 0.75 as an example. Then, the treatment round is recorded as the candidate inflection point round; and the first candidate inflection point round is taken as the inflection point round. If the number of candidate inflection point rounds is 0, then maintain the processing type and resource input parameters corresponding to the current processing round, and execute the next processing round until a candidate inflection point round is obtained (the current processing round is the processing round closest to the current time).

[0029] It should be noted that during the harmless treatment of barium slag, the pH value and redox state value usually fluctuate continuously in the early stage of treatment as the reagents are added and the reaction proceeds. They only gradually stabilize after the treatment is fully completed. Therefore, when the pH value and redox state value of each treatment cycle reach the preset threshold, the corresponding treatment cycle is recorded as a candidate inflection point cycle to improve the reliability of stable state identification. Furthermore, since the treatment cycle represents the turning point where the current process stage gradually transitions from continuous fluctuation to a stable state, it can reflect the starting point of the change from an unstable stage to a stable stage in the current treatment environment. This provides a unified reference benchmark for subsequent delayed release trend analysis. Therefore, the first candidate inflection point cycle that meets the conditions is taken as the inflection point cycle. When there is no candidate inflection point cycle, it indicates that the current treatment environment is still in a stage of significant fluctuation. Therefore, the current treatment type and resource input parameters are maintained to continue executing subsequent treatment cycles, so that the current treatment environment further stabilizes.

[0030] Specifically, the steady-state confidence level of the inflection point cycle is positively correlated with the pH retention of the inflection point cycle; The steady-state confidence level of the inflection point cycle is positively correlated with the redox state value retention of the inflection point cycle; The steady-state confidence level of the inflection point cycle and the difference between the pH retention and redox state retention of the inflection point cycle are negatively correlated.

[0031] As an example, the specific formula for calculating the steady-state confidence level of the inflection point cycle is as follows: ; In the formula, Represents the steady-state confidence level of the inflection point cycle; This indicates the amount of pH value maintained at the inflection point cycle; This indicates the amount of redox state value retained at the inflection point cycle; This represents the function that takes the absolute value. This embodiment uses an exponential function with the natural constant as the base. The model is used to represent the inverse proportional relationship and for normalization processing. As input to the model, implementers can set inverse proportional functions and normalization functions according to the actual situation.

[0032] It should be noted that during the harmless treatment of barium slag, even if both pH and redox state values ​​show high retention rates in a certain round, a large difference between them indicates that the current treatment environment may only be stable in a single dimension and has not yet formed a true synchronous stable state. Therefore, this embodiment uses the average of pH retention and redox state retention to reflect the overall stability level, and uses an exponential function to negatively suppress the difference between pH retention and redox state retention, so that the steady-state confidence score only obtains a high value when both retention values ​​are simultaneously high and close to each other. Furthermore, since the exponential function has continuous decay and natural normalization characteristics, it can maintain high sensitivity when the difference is small and quickly lower the confidence score when the difference is large, thus more accurately reflecting the change law of the treatment environment gradually transitioning from local stability to overall stability.

[0033] Step S003: Based on the leaching barium concentration and sulfide concentration values ​​of the treatment rounds after the inflection point, obtain the delayed release duration of the current treatment round; combined with the steady-state confidence of the inflection point, obtain the delayed release margin of the current treatment round; based on the delayed release margin of the current treatment round and its previous treatment round, combined with the resource input data of the current treatment round, obtain the state convergence degree of the current treatment round.

[0034] It should be noted that during the harmless treatment of barium slag, even if the current treatment environment has stabilized, unreacted or insufficiently fixed active components may still be released in subsequent treatments. Therefore, this embodiment continuously analyzes the leached barium concentration and sulfide concentration values ​​in each treatment round after the inflection point to identify whether there are still delayed release phenomena such as continuous release, stagnation or resurgence in the current treatment stage. At the same time, by combining the changes in the delayed release margin between the current treatment round and the previous treatment round, as well as the resource input data of the current treatment round, the improvement benefits of the current treatment are analyzed. This allows the subsequent convergence of the state to not only reflect whether the current treatment is still effective, but also whether continuing the current treatment still has good resource utilization value.

[0035] Specifically, the processing rounds after the inflection point are denoted as delayed-release observation rounds. For any delayed-release observation round, the leaching barium concentration value of the delayed-release observation round is linearly normalized (the maximum and minimum value normalization function can be used for normalization, and the maximum and minimum values ​​can be obtained based on historical data or prior experience. Adjusting, calibrating or optimizing the maximum and minimum values ​​does not constitute a limitation of this invention. The final normalized value range is [0, 1]). The obtained normalization result is used as the leaching barium concentration coefficient of the delayed-release observation round. The sulfide concentration values ​​of the delayed-release observation rounds were linearly normalized, and the normalization result was used as the sulfide concentration coefficient of the delayed-release observation rounds. The maximum value between the leaching barium concentration coefficient and the sulfide concentration coefficient of the delayed-release observation round is taken as the release margin coefficient of the delayed-release observation round. If the difference between the release margin coefficient of the delayed-release observation round and the release margin coefficient of the next delayed-release observation round is less than a preset descent threshold, then the delayed-release observation round is recorded as a delayed-release round. The specific value of the descent threshold can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, the descent threshold is 0.05 as an example. The product of subtracting the mean of the release margin coefficients of all delayed-release observation rounds from 1 and multiplying it by the proportion of delayed-release rounds in the delayed-release observation rounds is used as the delayed-release correction amount. The sum of the mean of the release margin coefficients of all delayed-release observation rounds and the delayed-release correction amount is used as the delayed-release duration of the current treatment round.

[0036] It should be noted that the leaching barium concentration coefficient and sulfide concentration coefficient are used to characterize the residual degree of the corresponding release state. Since a high value of either the leaching barium concentration or the sulfide concentration may indicate that there is still a significant delayed release phenomenon in the current treatment stage, the maximum value of the leaching barium concentration coefficient and the sulfide concentration coefficient is used as the release residual coefficient to highlight the main source of delayed release in the current round. At the same time, this embodiment further analyzes the decrease of the release residual coefficient between adjacent delayed release observation rounds. When the decrease is small, it indicates that the current delayed release has entered a state of decline stagnation or slow release. Therefore, the corresponding delayed release observation round is recorded as a delayed release round. On this basis, the average value of the release residual coefficient reflects the overall delayed release level, and a delayed release correction amount is constructed by combining it with the proportion of delayed release rounds. This allows the delayed release continuity of the current treatment round to not only reflect the size of the remaining release amount, but also whether the delayed release has entered a state of continuous stagnation, thereby more accurately characterizing the delayed release trend in the current treatment stage.

[0037] Specifically, the ratio obtained by subtracting the steady-state confidence level of the inflection point round from the ratio of the delayed release duration of the current treatment round to 1 is used as the delayed release margin coefficient of the current treatment round. The delayed release margin coefficient of the current processing round is linearly normalized, and the normalized result is used as the degree of delayed release margin of the current processing round.

[0038] It should be noted that the degree of delayed release margin is used to characterize the degree of abnormal deviation in the continued release of internal active components under the premise that the apparent environment has tended to be stable. Since the delayed release duration reflects the overall release continuity level after the inflection point cycle, while the steady-state confidence reflects the credibility of apparent stability, this embodiment constructs a ratio relationship by dividing the delayed release duration by 1 minus the steady-state confidence of the inflection point cycle. When the steady-state confidence is low, it indicates that a large part of the current release can be attributed to incomplete treatment, resulting in a large denominator and a lower ratio. When the steady-state confidence is high, it indicates that apparent stability is relatively credible. If there is still significant release continuation at this time, this release is more likely to be a true internal delayed release, resulting in a smaller denominator and a correspondingly larger ratio, thereby quantitatively strengthening the ability to identify true delayed release anomalies. After linearly normalizing the above ratio, the degree of delayed release margin is obtained.

[0039] Specifically, the resource input data includes the dosage of medicine, the amount of washing water, and energy consumption; Linear normalization is performed on the resource input data of the current processing round, and the normalization result is used as the cost coefficient of each resource input in the current processing round. The cost weights of each input resource data are preset. The input resource data can be set according to the value ratio of each input resource data. This embodiment does not make a hard requirement. The cost coefficients of each input resource in the current processing round are weighted and summed by the cost weights of each input resource data, and the sum is used as the cost factor of the current processing round. The marginal revenue coefficient of the current processing round is obtained by subtracting the degree of delayed release from the degree of delayed release in the previous processing round from the degree of delayed release in the current processing round, and then dividing the difference by the cost factor of the current processing round. The absolute value of the difference between the degree of delayed release in the current processing round and the marginal revenue coefficient is used as the revenue gap coefficient for the current processing round. The ratio of the product of the delayed release margin of the current processing round and the marginal revenue coefficient to the sum of the delayed release margin of the current processing round and the revenue gap coefficient is taken as the state convergence degree of the current processing round.

[0040] As an example, the specific formula for calculating the convergence degree of the current processing round is as follows: ; In the formula, This indicates the degree of convergence of the state in the current processing round; Indicates the degree of delayed release margin in the current processing round; This represents the marginal revenue coefficient for the current processing round; This represents the function that takes the absolute value. This represents a pre-defined, extremely small positive number. The specific value can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, it is used as... Let's take an example to illustrate.

[0041] It should be noted that the state convergence degree is used to characterize the overall convergence state of the current treatment round in terms of improvement of delayed release risk and resource input consumption. The higher the value, the more effective the current treatment is in reducing delayed release margin, while the corresponding resource input still has good return value. The cost factor is used to reflect the overall resource consumption level of the current treatment round in terms of reagents, water, and energy consumption. The marginal revenue coefficient is used to characterize the degree of improvement in delayed release margin brought about by unit resource input. When the degree of delayed release margin is high and the marginal revenue coefficient is low, it indicates that although there is still a significant delayed release risk in the current treatment stage, the improvement effect obtained by continuing to invest resources has begun to weaken, and the current treatment state is gradually entering a low-return stage. Therefore, the deviation between the degree of delayed release margin and the marginal revenue coefficient is quantified by the revenue gap coefficient. Furthermore, the product of the degree of delayed release margin and the marginal benefit coefficient reflects the comprehensive improvement capability under the current treatment state, and the benefit gap coefficient is combined to constrain the coordination of improvement, so that the degree of state convergence can only reach a higher value when there is still a need to further reduce the risk of delayed release and the current resource input can still produce good improvement benefits, thereby avoiding high-cost repeated treatment when the effect of delayed release improvement has become saturated.

[0042] Step S004: Adjust the barium slag harmless treatment process according to the convergence degree and delayed release residual degree of the current treatment round.

[0043] It should be noted that in the process of harmless treatment of barium slag, whether the current treatment needs to continue cannot be determined solely based on a single detection indicator. If the treatment is repeated when the delayed release risk is already low, it can easily lead to additional waste of reagents, water resources, and energy. On the other hand, if the current treatment is terminated prematurely when the internal delayed release risk is still high, it may lead to subsequent release problems. Therefore, this embodiment combines the degree of convergence of the current treatment cycle and the degree of delayed release margin to jointly determine the current treatment status. The degree of delayed release margin is used to reflect whether the current internal delayed release risk still exists, while the degree of convergence is used to reflect whether the situation has improved after continuing the current treatment. This allows us to not only determine whether the current process stage should continue, but also to further determine whether the current treatment type and resource input parameters need to be adjusted to reduce the problem of undertreatment or overtreatment.

[0044] A state convergence threshold and a delayed release margin threshold are preset. The specific values ​​of the state convergence threshold and the delayed release margin threshold can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, the state convergence threshold is equal to 0.6 and the delayed release margin threshold is equal to 0.4 as an example. If the state convergence of the current processing round is greater than the state convergence threshold, the processing type and resource input parameters corresponding to the current processing round are maintained, and the next processing round is executed. If the state convergence degree of the current processing round is less than or equal to the state convergence degree threshold, and the delayed release degree of the current processing round is less than or equal to the delayed release degree threshold, then proceed to the next stage of the barium slag harmless treatment process. If the state convergence degree of the current processing round is less than or equal to the state convergence degree threshold, and the delay margin degree of the current processing round is greater than the delay margin degree threshold, then adjust the processing type and resource input parameters corresponding to the current processing round and execute the next processing round.

[0045] The specific process of adjusting the processing type and resource input parameters corresponding to the current processing round and executing the next processing round includes: The ratio of the leaching barium concentration coefficient of the current treatment round to the sum of the leaching barium concentration coefficient and the sulfide concentration coefficient of the current treatment round is taken as the leaching barium dominant coefficient of the current treatment round. The ratio of the sulfide concentration coefficient of the current treatment round to the sum of the leaching barium concentration coefficient and the sulfide concentration coefficient of the current treatment round is taken as the sulfide dominant coefficient of the current treatment round. A pre-set dominant threshold is set. The specific value of the dominant threshold can be set according to the actual situation. This embodiment does not make a hard requirement. In this embodiment, the dominant threshold is 0.7 as an example. If the dominant coefficient of leached barium in the current treatment round is greater than the dominant threshold, more sulfate source, carbonate source or stabilizer will be added to perform directional barium fixation when performing the next treatment round. If the sulfide dominance coefficient of the current treatment round is greater than the dominance threshold, increase aeration, add oxidant, or extend the oxidation maturation period when executing the next treatment round.

[0046] It should be noted that, in order to avoid the denominator being zero during fraction operations, this embodiment adds 0.001 to the denominator if it is zero during fraction operations to prevent division by zero from causing a crash.

[0047] This concludes the embodiment.

[0048] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A green optimization method based on the harmless treatment process of barium slag, characterized in that, The method includes the following steps: To obtain data on pH value, redox state value, leached barium concentration, sulfide concentration value, and input resources for each treatment cycle in the process of harmless treatment of barium slag. Based on the pH value and redox state value of each treatment round, the pH value retention amount and redox state value retention amount of each treatment round are obtained, and then the inflection point round is screened out from the treatment rounds. The specific method for obtaining the pH retention and redox state retention for each treatment round based on the pH value and redox state value of each treatment round includes: For any treatment round, the difference between the pH value of the treatment round and the pH value of the next treatment round is negatively correlated and linearly normalized. The normalized result is recorded as the pH stability factor of the treatment round. The difference between the pH value of the treatment round and the preset reference pH value is negatively correlated and linearly normalized. The normalized result is recorded as the pH value target approach factor of the treatment round. By using preset stability factor weights and target approach factor weights, the pH stability factor and pH target approach factor of the treatment round are weighted and summed, and the sum is used as the pH retention amount of the treatment round. Similarly, the redox state value retention amount for the processing rounds is obtained; The steady-state confidence level of each inflection point cycle is obtained based on the amount of pH value retention and redox state value retention at the inflection point cycle. The steady-state confidence level of the inflection point cycle is obtained based on the pH retention and redox state retention of the inflection point cycle, wherein: The steady-state confidence level of the inflection point cycle is positively correlated with the pH retention of the inflection point cycle; The steady-state confidence level of the inflection point cycle is positively correlated with the redox state value retention of the inflection point cycle; The steady-state confidence level of the inflection point cycle and the difference between the pH retention and redox state retention of the inflection point cycle are negatively correlated. Based on the leaching barium concentration and sulfide concentration values ​​of the treatment rounds after the inflection point, the delayed release duration of the current treatment round is obtained. Combined with the steady-state confidence of the inflection point round, the degree of delayed release margin of the current treatment round is obtained. The method for obtaining the delayed release duration of the current treatment round based on the leaching barium concentration and sulfide concentration values ​​of the treatment rounds after the inflection point includes the following specific methods: The processing rounds after the inflection point are denoted as the delayed release observation rounds. For any delayed release observation round, the leaching barium concentration value of the delayed release observation round is linearly normalized, and the normalization result is used as the leaching barium concentration coefficient of the delayed release observation round. The sulfide concentration values ​​of the delayed-release observation rounds were linearly normalized, and the normalization result was used as the sulfide concentration coefficient of the delayed-release observation rounds. The maximum value between the leaching barium concentration coefficient and the sulfide concentration coefficient of the delayed-release observation round is taken as the release margin coefficient of the delayed-release observation round. If the difference between the release margin coefficient of the delayed-release observation round and the release margin coefficient of the next delayed-release observation round is less than a preset descent threshold, then the delayed-release observation round is recorded as a delayed-release round. Based on the proportion of delayed-release cycles in the delayed-release observation cycles, and combined with the release margin coefficient of all delayed-release observation cycles, the delay-release duration of the current treatment cycle is obtained. Based on the current processing round and the degree of delayed release margin of its previous processing round, combined with the resource input data of the current processing round, the state convergence degree of the current processing round is obtained. The process for harmless treatment of barium slag is adjusted based on the degree of convergence and the degree of delayed release in the current treatment cycle.

2. The green optimization method based on the harmless treatment process of barium slag according to claim 1, characterized in that, The specific method for filtering out the inflection point rounds from the processing rounds is as follows: For any treatment round, if the pH value retention and redox state value retention of the treatment round are both greater than the preset retention threshold, then the treatment round is recorded as a candidate inflection point round; and the first candidate inflection point round is taken as the inflection point round. If the number of candidate inflection point rounds is 0, then maintain the processing type and resource input parameters corresponding to the current processing round, and execute the next processing round until a candidate inflection point round is obtained.

3. The green optimization method based on the harmless treatment process of barium slag according to claim 1, characterized in that, The method for obtaining the delayed-release duration of the current treatment round based on the proportion of delayed-release rounds in the total delayed-release observation rounds, combined with the release margin coefficient of all delayed-release observation rounds, includes the following specific methods: The product of subtracting the mean of the release margin coefficients of all delayed-release observation rounds from 1 and multiplying it by the proportion of delayed-release rounds in the delayed-release observation rounds is used as the delayed-release correction amount. The sum of the mean of the release margin coefficients of all delayed-release observation rounds and the delayed-release correction amount is used as the delayed-release duration of the current treatment round.

4. The green optimization method based on the harmless treatment process of barium slag according to claim 1, characterized in that, The specific method for obtaining the degree of delayed release margin in the current processing round is as follows: The ratio obtained by subtracting the steady-state confidence level of the inflection point round from the previous round's delayed release duration ratio is used as the delayed release margin coefficient for the current processing round. The delayed release margin coefficient of the current processing round is linearly normalized, and the normalized result is used as the degree of delayed release margin of the current processing round.

5. The green optimization method based on the harmless treatment process of barium slag according to claim 1, characterized in that, The method for obtaining the state convergence degree of the current processing round based on the delayed release margin of the current processing round and the resource input data of the current processing round includes the following specific methods: The data on input resources includes the dosage of medicine, the amount of washing water, and energy consumption. Linear normalization is performed on the resource input data of the current processing round, and the normalization result is used as the cost coefficient of each resource input in the current processing round. The cost weights of each input resource data are preset. The cost coefficients of each input resource in the current processing round are weighted and summed based on the cost weights of each input resource data. The sum is used as the cost factor of the current processing round. The marginal revenue coefficient of the current processing round is obtained by subtracting the degree of delayed release from the degree of delayed release in the previous processing round from the degree of delayed release in the current processing round, and then dividing the difference by the cost factor of the current processing round. The degree of convergence of the current processing round is obtained based on the marginal revenue coefficient and the degree of delayed release of the current processing round.

6. The green optimization method based on the harmless treatment process of barium slag according to claim 5, characterized in that, The method for obtaining the state convergence degree of the current processing round based on the marginal revenue coefficient and the degree of delayed release of the current processing round includes the following specific methods: The absolute value of the difference between the degree of delayed release in the current processing round and the marginal revenue coefficient is used as the revenue gap coefficient for the current processing round. The ratio of the product of the delayed release margin of the current processing round and the marginal revenue coefficient to the sum of the delayed release margin of the current processing round and the revenue gap coefficient is taken as the state convergence degree of the current processing round.

7. The green optimization method based on the harmless treatment process of barium slag according to claim 1, characterized in that, The specific methods for adjusting the barium slag harmless treatment process based on the convergence degree and delayed release level of the current treatment cycle are as follows: A state convergence threshold and a delayed release margin threshold are preset. If the state convergence of the current processing round is greater than the state convergence threshold, the processing type and resource input parameters corresponding to the current processing round are maintained, and the next processing round is executed. If the state convergence degree of the current processing round is less than or equal to the state convergence degree threshold, and the delayed release degree of the current processing round is less than or equal to the delayed release degree threshold, then proceed to the next stage of the barium slag harmless treatment process. If the state convergence degree of the current processing round is less than or equal to the state convergence degree threshold, and the delay margin degree of the current processing round is greater than the delay margin degree threshold, then adjust the processing type and resource input parameters corresponding to the current processing round and execute the next processing round.

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