Method for detecting mercury content in solid waste

Abstract

The invention relates to the field of mercury content detection, in particular to a method for detecting the mercury content in solid waste. The method comprises the following steps: crushing and screening a solid waste sample, and carrying out random sampling and digestion treatment to obtain a solution to be detected; treating the solution to be detected by an electrochemical detection method to obtain effective response current; obtaining the mercury content of the solution to be detected from the effective response current according to a standard relation curve of the mercury content, and recording the mercury content as first mercury content; obtaining a characteristic signal related to the mercury content of the to-be-detected solution, obtaining a predicted value of the mercury content through the mercury content prediction model, and recording the predicted value as a second mercury content; and carrying out numerical analysis on the first mercury content and the second mercury content to obtain a third mercury content. The detection accuracy and efficiency are improved, and the mercury content in the solid waste is rapidly and accurately detected.

Description

Technical Field

[0001] The invention relates to the field of mercury content detection, in particular to a method for detecting mercury content in solid waste. Background Art

[0002] The detection of mercury content in solid waste has always been an important part of environmental control. Mercury is a toxic heavy metal that has potential long-term harm to human health and the ecosystem. In particular, solid waste generated after industrial production now contains a certain amount of mercury. If the mercury content in solid waste is not accurately detected and landfilled, it will cause serious pollution hazards to the local environment. Therefore, it is an important measure to ensure environmental safety to accurately and efficiently detect the mercury content in solid waste and ensure that the mercury content meets national and international environmental standards.

[0003] Traditional mercury detection methods, such as cold atomic absorption spectrometry and atomic fluorescence spectrometry, although highly accurate, are often complex to operate, time-consuming, and require a professional laboratory environment and expensive instruments and equipment, which is not conducive to rapid screening of mercury content in solid waste.

[0004] Therefore, it is particularly important to further improve the accuracy and efficiency of detection, realize the rapid and accurate detection of mercury content in solid waste, provide timely and reliable detection data for enterprises, ensure that the mercury content in the solid waste treatment process meets environmental protection standards, and effectively prevent and control environmental pollution risks. It is particularly important to adopt a rapid and efficient method for detecting mercury content in solid waste. Summary of the invention

[0005] (1) Technical issues to be resolved The purpose of the present invention is to provide a method for detecting mercury content in solid waste, so as to solve the problem that the detection of mercury content is not simple and efficient enough.

[0006] (2) Technical solution To achieve the above object, on the one hand, the present invention provides a method for detecting mercury content in solid waste, the method comprising: S1. Obtain a solid waste sample and crush and screen it according to a preset particle size to obtain a first sample, and obtain a solution to be tested by randomly sampling and digesting the first sample.

[0007] S2. Obtain an effective response current from the test solution through an electrochemical detection method; obtain the mercury content of the test solution according to a standard relationship curve of mercury content using the effective response current and record it as a first mercury content; the electrochemical sensor used in the electrochemical detection method contains a sensitive material specific to mercury.

[0008] S3, obtaining a characteristic signal related to the mercury content of the solution to be tested; applying the characteristic signal to a mercury content prediction model to obtain a predicted value of the mercury content and recording it as a second mercury content.

[0009] S4. A third mercury content is obtained by numerically analyzing the first mercury content and the second mercury content, and the third mercury content is output in text or graphic form.

[0010] Furthermore, the method of obtaining an effective response current by an electrochemical detection method for the solution to be tested; obtaining the mercury content of the solution to be tested by using the effective response current according to a standard relationship curve of mercury content and recording it as the first mercury content includes: When the pH value of the solution to be tested is obtained and is within the designed pH value detection range of the electrochemical sensor, a group of test sample solutions are obtained from the solution to be tested according to a preset number of test samples; a group of response currents are obtained from the group of test sample solutions through an electrochemical detection method, the group of response currents are analyzed through normal distribution and the response currents within a preset confidence interval are obtained and recorded as reliable response currents, and the effective response currents are obtained by mean calculation of the reliable response currents.

[0011] A standard solution with known mercury content is obtained and a standard response current is obtained by an electrochemical detection method. The relationship between the standard response current and the mercury content is fitted by the least square method to obtain a standard relationship curve.

[0012] Furthermore, the method of obtaining a set of response currents by an electrochemical detection method using the set of test sample solutions comprises: The set of test sample solutions is recorded as , the response current corresponding to the set of test sample solutions is recorded as , obtain the test sample solution , the test sample solution Obtain response current by applying a preset voltage ; The preset voltage is the detection voltage of the electrochemical detection method.

[0013] The test sample solution According to the preset voltage and the preset detection time interval, M groups of corrected response currents are measured, the M groups of corrected response currents are analyzed by deviation difference to obtain the deviation degree, and the response current whose deviation degree is less than the preset deviation threshold is analyzed by the mean algorithm to obtain the response current .

[0014] Furthermore, the M groups of corrected response currents are analyzed by deviation difference to obtain the deviation degree, and the response currents whose deviation degree is less than the preset deviation threshold are analyzed by the mean value algorithm to obtain the response current The methods include: The standard response current of the standard solution at different temperatures when different detection voltages are applied is obtained, and the temperature correction curve at different detection voltages is obtained by fitting the standard response current.

[0015] The temperature of the test sample solution when not being measured is recorded as the reference temperature; a temperature correction curve corresponding to the preset voltage is obtained, and correction coefficients of different temperatures and the reference temperature are calculated according to the temperature correction curve.

[0016] Obtain test sample solution The measured temperature when measuring the response current, obtaining the corresponding correction coefficient according to the measured temperature, and correcting the response current by the correction coefficient to obtain the corrected response current .

[0017] The test sample solution The measured M group corrected response current is recorded as , the reference response current is obtained by the mean calculation method , the reference response current ; The deviation degree of the M group corrected response current is obtained by deviation difference analysis The degree of deviation The calculation formula is: ; The response current will be corrected With reference response current The absolute difference is less than the deviation Corrected response current Keep and record as qualified response current and the qualified response current The response current is obtained by the mean calculation method .

[0018] Furthermore, the method further comprises: Obtain a preset voltage test sample solution, and determine the preset voltage of the preset voltage test sample solution according to a scanning algorithm; obtain an adjusted voltage according to the initial voltage, adjustment time interval, and adjustment voltage difference pre-set by the scanning algorithm, obtain a response current corresponding to the adjusted voltage and draw a voltage-current curve, obtain the adjusted voltage corresponding to the peak response current of the voltage-current curve and record it as the preset voltage.

[0019] Furthermore, the method of obtaining a characteristic signal related to the mercury content of the solution to be tested; and obtaining a predicted value of the mercury content by using a mercury content prediction model for the characteristic signal and recording the predicted value as the second mercury content includes: The characteristic signal includes the effective response current of the solution to be tested and the corresponding preset voltage and the type and proportion of the solid waste used to prepare the solution to be tested; The types, proportions, effective response currents and corresponding preset voltages of solid waste detected in history are obtained. The mercury content prediction model establishes a mapping relationship between the types, proportions, effective response currents and corresponding preset voltages of solid waste and the mercury content through a deep learning algorithm.

[0020] Furthermore, the method of obtaining a third mercury content by numerically analyzing the first mercury content and the second mercury content includes: When the first mercury content With the second mercury content When the absolute percentage difference of the first mercury content and the second mercury content is less than the preset difference threshold, the first mercury content and the second mercury content are calculated by the mean algorithm to obtain a third mercury content. , and update the mercury content prediction model for training; When the first mercury content With the second mercury content When the absolute percentage difference is greater than the preset difference threshold, the first mercury content Conduct retesting; The mean value algorithm uses a linear weighted algorithm to obtain the third mercury content , first mercury content With the second mercury content The weight coefficients are preset , ,and , then the third mercury content for: .

[0021] Furthermore, the method of obtaining a test solution by randomly sampling and digesting the first sample comprises: The digestion treatment adopts microwave digestion method, and microwave digestion parameters are obtained by orthogonal design optimization method according to preset microwave digestion targets; the preset microwave digestion targets include digestion efficiency and recovery rate; the microwave digestion parameters include digestion temperature, digestion time, type and amount of digestion agent; The microwave digestion parameters are analyzed by a data analysis method to obtain analysis results, and the microwave digestion parameters corresponding to the maximum values ​​of the analysis results are obtained and recorded as the optimal microwave digestion parameters; Digestion processing is performed according to the optimal microwave digestion parameters, and temperature parameters and pressure parameters in the digestion processing are obtained through a real-time monitoring method; the optimal microwave digestion parameters are adjusted through an optimization algorithm according to the temperature parameters and pressure parameters.

[0022] Furthermore, the electrochemical sensor used in the electrochemical detection method comprises a sensitive material specific to mercury, including: The sensitive material is a thymine-rich aptamer, and the electrochemical sensor is obtained by connecting the thymine-rich aptamer on the surface of nanoporous gold through a self-assembly method.

[0023] (3) Beneficial effects Compared with the prior art, the present invention has the following beneficial effects: By combining the electrochemical detection method with the voltage scanning algorithm and the temperature correction curve, the effective response current of the solution to be tested can be accurately obtained, effectively reducing the measurement errors caused by voltage and temperature changes.

[0024] Combining electrochemical detection with model prediction, and synthesizing the results of both through numerical analysis, the detection values ​​are verified, the number of repeated experiments is reduced, the accuracy of detection is improved, and environmental safety is guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 The present invention is a flowchart of a method for detecting mercury content in solid waste according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] Before giving examples, it is necessary to explain the application scenarios of the present invention. At present, with the rapid development of cities, industries, etc., a large amount of hazardous wastes are generated, so it is necessary to dispose of these large amounts of hazardous comprehensive wastes in a timely manner. According to Article 88 of the "Law on the Prevention and Control of Pollution by Solid Waste" and the practice of the hazardous waste industry, solid wastes include liquids in containers and hazardous non-solid wastes. Among them, a large amount of slag will be produced after the rotary kiln incinerator process of the hazardous waste comprehensive disposal system. These slag solid wastes will be tested for heavy metal content, including the detection of mercury content, because mercury is a toxic heavy metal that has potential long-term harm to human health and the ecosystem. If it is directly landfilled, it will cause pollution to the environment. Therefore, it is necessary to detect the mercury content in the solid waste. If the test meets the standard, it can be landfilled according to the environmental protection standard. If the test does not meet the standard, it will be further processed, such as using cement, fly ash or lime as a curing agent to stabilize or solidify the solid waste, so as to react with the mercury in the solid waste to form a poorly soluble or stable compound, reduce its toxicity and mobility to achieve the purpose of stabilization and harmlessness.

[0028] Example: Figure 1 As shown, this embodiment provides a method for detecting mercury content in solid waste, the method comprising: S1. Obtain a solid waste sample and crush and screen it according to a preset particle size to obtain a first sample, and obtain a solution to be tested by random sampling and digestion of the first sample; since the slag after incineration, that is, the particles of solid waste are large and uneven, a certain amount of solid waste is sampled from different areas of the slag on site and crushed by a crusher, and the ground powder that meets the requirements is filtered out through a mesh sieve, and the ground powder is placed in a glass dish, mixed evenly, and a certain amount of ground powder is obtained by random sampling, and the quantitative ground powder is prepared into a solution and then digested by a microwave oven. Microwave digestion is to directly penetrate the substance through electromagnetic waves of 300~300000 MHz, and the microwaves produce a thermal effect when they arrive, so that the organic matter is decomposed to achieve the digestion of the substance. The purpose of digestion is to decompose the solid sample and convert it into a solution form that can be analyzed.

[0029] S2. Obtain an effective response current from the solution to be tested by an electrochemical detection method; obtain the mercury content of the solution to be tested by the effective response current according to the standard relationship curve of mercury content and record it as the first mercury content; the electrochemical sensor used in the electrochemical detection method contains a sensitive material specific to mercury; this embodiment uses nanoporous gold as the carrier material of the electrochemical sensor. The sensitive material is a thymine-rich aptamer, which can highly selectively bind mercury ions in the solution, showing good sensitivity and selectivity. Substitute the response current of the solution to be tested into the standard relationship curve, and obtain the mercury content of the solution to be tested by interpolation calculation.

[0030] S3, obtaining a characteristic signal related to the mercury content of the solution to be tested; applying the characteristic signal to a mercury content prediction model to obtain a predicted value of the mercury content and recording it as a second mercury content; S4. A third mercury content is obtained by numerically analyzing the first mercury content and the second mercury content, and the third mercury content is output in text or graphic form.

[0031] Furthermore, the method of obtaining an effective response current by an electrochemical detection method for the solution to be tested; obtaining the mercury content of the solution to be tested by using the effective response current according to a standard relationship curve of mercury content and recording it as the first mercury content includes: When the pH value of the solution to be tested is obtained and is within the designed pH value detection range of the electrochemical sensor, the solution to be tested is obtained according to the preset number of test samples to obtain a group of test sample solutions; the group of test sample solutions is subjected to an electrochemical detection method to obtain a group of response currents, the group of response currents is analyzed by normal distribution and the response current within the preset confidence interval is obtained as a reliable response current, and the reliable response current is calculated by mean value to obtain an effective response current; the performance of the electrochemical sensor will be affected by the pH value of the solution, and the pH value beyond its design range may cause inaccurate measurement results or damage to the sensor. Therefore, the electrochemical sensor has a larger and more accurate measurement value of the response current in the optimal pH value detection range. The "preset number of test samples" is to take multiple samples from the solution to be tested for detection in order to increase the reliability of the measurement results and reduce accidental errors. Due to instrument errors, operating errors, etc. in the measurement process, the obtained group of response current values ​​will show a certain distribution law, usually a normal distribution. A preset confidence interval (such as a 95% confidence interval) is determined by a statistical analysis method, and the response current value within this interval is considered to be reliable.

[0032] A standard solution with known mercury content is obtained and a standard response current is obtained by an electrochemical detection method, and a standard relationship curve is obtained by fitting the relationship between the standard response current and the mercury content by the least square method. The standard solution with known mercury content used in this embodiment is purchased from a standard material center.

[0033] Furthermore, the method of obtaining a set of response currents by an electrochemical detection method using the set of test sample solutions comprises: The set of test sample solutions is recorded as , the response current corresponding to the set of test sample solutions is recorded as , obtain the test sample solution , the test sample solution Obtain response current by applying a preset voltage ; The preset voltage is the detection voltage of the electrochemical detection method.

[0034] The test sample solution According to the preset voltage and the preset detection time interval, M groups of corrected response currents are measured, the M groups of corrected response currents are analyzed by deviation difference to obtain the deviation degree, and the response current whose deviation degree is less than the preset deviation threshold is analyzed by the mean algorithm to obtain the response current The preset time interval is determined based on the response time of the detection system.

[0035] Furthermore, the M groups of corrected response currents are analyzed by deviation difference to obtain the deviation degree, and the response currents whose deviation degree is less than the preset deviation threshold are analyzed by the mean value algorithm to obtain the response current The methods include: By obtaining the standard response current of the standard solution at different temperatures when different detection voltages are applied, and fitting the standard response current to obtain the temperature correction curve at different detection voltages; the measurement data obtained by the measurement will constitute data points about the relationship between voltage, temperature and response current, and these data points are then fitted using mathematical methods to obtain a curve of the relationship between the response current and the temperature and voltage.

[0036] Recording the temperature of the test sample solution when it is not measured as the reference temperature; obtaining a temperature correction curve corresponding to the preset voltage, and calculating correction coefficients of different temperatures and the reference temperature according to the temperature correction curve; Obtain test sample solution The measured temperature when measuring the response current, obtaining the corresponding correction coefficient according to the measured temperature, and correcting the response current by the correction coefficient to obtain the corrected response current ; The test sample solution The measured M group corrected response current is recorded as , the reference response current is obtained by the mean calculation method , the reference response current ; The deviation degree of the M group corrected response current is obtained by deviation difference analysis The degree of deviation The calculation formula is: ; The response current will be corrected With reference response current The absolute difference is less than the deviation Corrected response current Keep and record as qualified response current and the qualified response current The response current is obtained by the mean calculation method The absolute difference is the corrected response current Subtract the reference response current The mean value calculation method uses the arithmetic mean method to obtain the response current .

[0037] Furthermore, the method further comprises: Obtain a preset voltage test sample solution, and determine the preset voltage of the preset voltage test sample solution according to the scanning algorithm; obtain the adjusted voltage according to the initial voltage, adjustment time interval, and adjustment voltage difference pre-set by the scanning algorithm, obtain the response current corresponding to the adjusted voltage and draw a voltage-current curve, obtain the adjusted voltage corresponding to the peak response current of the voltage-current curve and record it as the preset voltage. The preset voltage is obtained by extracting a preset voltage test sample solution from the solution to be tested, and then the obtained preset voltage is used to measure each test sample solution to obtain M groups of corrected response currents. This can reduce the need to use the scanning algorithm to re-determine the peak response current for each measurement, because the detection voltage corresponding to the peak response current of the same group of sample solutions is basically consistent, and the use of the same detection voltage for measurement can reduce the measurement error caused by different voltages.

[0038] Furthermore, the method of obtaining a characteristic signal related to the mercury content of the solution to be tested; and obtaining a predicted value of the mercury content by using a mercury content prediction model for the characteristic signal and recording the predicted value as the second mercury content includes: The characteristic signal includes the effective response current of the solution to be tested and the corresponding preset voltage and the type and proportion of the solid waste used to prepare the solution to be tested; The types, proportions, effective response currents and corresponding preset voltages of solid waste detected in history of mercury content are obtained. The mercury content prediction model is to establish a mapping relationship between the types, proportions, effective response currents and corresponding preset voltages of solid waste and mercury content through a deep learning algorithm. Different types of incineration materials contain different types and contents of heavy metals. As incineration materials, they will be pretreated before incineration, and there will be data on the types of incineration materials and data on the incineration proportions of different types. By combining the data on the types and proportions of incineration materials with the detected mercury content data, a prediction model for mercury content can be established through a neural network algorithm. The types and proportions of solid waste will be classified and counted before the waste is incinerated, so the types and proportions of the final waste residues can be obtained based on the statistical data of incineration. For example, waste may contain metal fragments, plastics, glass, and electronic equipment wreckage that may contain mercury. The proportion of each component may be important for predicting mercury content because mercury may be concentrated in certain specific types of waste.

[0039] Furthermore, the method of obtaining a third mercury content by numerically analyzing the first mercury content and the second mercury content includes: When the first mercury content With the second mercury content When the absolute percentage difference of the first mercury content and the second mercury content is less than the preset difference threshold, the first mercury content and the second mercury content are calculated by the mean algorithm to obtain a third mercury content. , and update the mercury content prediction model for training; when the absolute percentage difference is less than the preset difference threshold, the mercury content is more accurate, so the corresponding characteristic signal is used as training data to update or optimize the mercury content prediction model, thereby improving the accuracy and generalization ability of the model, and being able to more accurately predict the mercury content of other waste samples.

[0040] When the first mercury content With the second mercury content When the absolute percentage difference is greater than the preset difference threshold, the first mercury content Conduct retesting; The mean value algorithm uses a linear weighted algorithm to obtain the third mercury content , first mercury content With the second mercury content The weight coefficients are preset , ,and , then the third mercury content for: The weight of the detection result using the electrochemical sensor will be greater than the weight of the prediction result of the mercury content prediction model.

[0041] Furthermore, the method of obtaining a test solution by randomly sampling and digesting the first sample comprises: The digestion treatment adopts microwave digestion method, and microwave digestion parameters are obtained by orthogonal design optimization method according to preset microwave digestion targets; the preset microwave digestion targets include digestion efficiency and recovery rate; the microwave digestion parameters include digestion temperature, digestion time, digestion agent type and dosage; microwave digestion method is used to decompose solid samples and convert them into analyzable solution form. Digestion efficiency refers to the speed and degree of complete decomposition of samples under given conditions; recovery rate refers to the percentage of target analytes retained during the digestion process. Orthogonal design optimization method is used to find the optimal combination of digestion temperature, time, digestion agent type and dosage. Through orthogonal design, these variables can be systematically changed and their effects on digestion efficiency and recovery rate can be evaluated.

[0042] The microwave digestion parameters are analyzed by a data analysis method to obtain an analysis result, and the microwave digestion parameter corresponding to the maximum value of the analysis result is recorded as the optimal microwave digestion parameter; common data analysis methods include variance analysis, regression analysis, etc. This embodiment uses variance analysis to process the data obtained from the orthogonal design experiment to find out which variable combination can maximize the digestion efficiency and recovery rate.

[0043] Digestion treatment is performed according to the optimal microwave digestion parameters, and the temperature parameters and pressure parameters in the digestion process are obtained by a real-time monitoring method; the optimal microwave digestion parameters are adjusted by an optimization algorithm according to the temperature parameters and pressure parameters. When digestion treatment is performed under the optimal microwave digestion parameters, the temperature parameters and pressure parameters in the digestion process are monitored in real time by sensors, and the temperature parameters and pressure parameters directly affect the digestion efficiency and safety. The purpose of the optimization algorithm is to ensure that the digestion process is carried out under optimal conditions while avoiding unsafe factors such as overheating and overpressure.

[0044] Furthermore, the electrochemical sensor used in the electrochemical detection method comprises a sensitive material specific to mercury, including: The sensitive material is a thymine-rich aptamer, and the electrochemical sensor is obtained by connecting the thymine-rich aptamer on the surface of nanoporous gold by a self-assembly method. The electrochemical sensor uses nanoporous gold (NPG) as a carrier material, and on this basis, a thymine-rich DNA aptamer (Ploy-T) is self-assembled through Au-S bonds. Since the thymine-rich aptamer has a particularly high affinity for mercury ions, the electrochemical sensor Ploy-T / NPG / AuE shows good sensitivity and selectivity in detecting mercury.

[0045] Finally, it should be noted that: Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting mercury content in solid waste, characterized in that: The method comprises: Obtaining a solid waste sample and crushing and screening it according to a preset particle size to obtain a first sample, and performing random sampling and digestion treatment on the first sample to obtain a test solution; The test solution is subjected to an electrochemical detection method to obtain an effective response current; the mercury content of the test solution is obtained by using the effective response current according to a standard relationship curve of mercury content and recorded as a first mercury content; the electrochemical sensor used in the electrochemical detection method contains a sensitive material specific to mercury; Acquiring a characteristic signal related to the mercury content of the test solution; applying the characteristic signal to a mercury content prediction model to obtain a predicted value of the mercury content and recording the predicted value as a second mercury content; The first mercury content and the second mercury content are numerically analyzed to obtain a third mercury content, and the third mercury content is output in text or graphic form.

2. The method for detecting mercury content in solid waste according to claim 1, wherein: The method of obtaining an effective response current by an electrochemical detection method for the solution to be tested; and obtaining the mercury content of the solution to be tested according to a standard relationship curve of mercury content by using the effective response current and recording the mercury content as the first mercury content includes: When the pH value of the test solution is obtained and is within the designed pH value detection range of the electrochemical sensor, the test solution is subjected to a preset number of test samples to obtain a group of test sample solutions; the group of test sample solutions is subjected to an electrochemical detection method to obtain a group of response currents, the group of response currents is subjected to normal distribution analysis, and a response current within a preset confidence interval is obtained and recorded as a reliable response current, and the reliable response current is calculated by averaging to obtain an effective response current; A standard solution with known mercury content is obtained and a standard response current is obtained by an electrochemical detection method. The relationship between the standard response current and the mercury content is fitted by the least squares method to obtain a standard relationship curve.

3. The method for detecting mercury content in solid waste according to claim 2, wherein: The method of obtaining a set of response currents by an electrochemical detection method using the set of test sample solutions comprises: The set of test sample solutions is recorded as , the response current corresponding to the set of detection sample solutions is recorded as , obtain the test sample solution , the detection sample solution Obtain response current by applying a preset voltage ; The preset voltage is the detection voltage of the electrochemical detection method; The test sample solution According to the preset voltage and the preset detection time interval, M groups of corrected response currents are measured, the M groups of corrected response currents are analyzed by deviation difference to obtain the deviation degree, and the response currents whose deviation degree is less than the preset deviation threshold are analyzed by the mean algorithm to obtain the response current .

4. The method for detecting mercury content in solid waste according to claim 3, wherein: The M groups of corrected response currents are analyzed by deviation difference to obtain the deviation degree, and the response currents whose deviation degree is less than the preset deviation threshold are analyzed by average algorithm to obtain the response current The methods include: By obtaining the standard response current of the standard solution at different temperatures when different detection voltages are applied, and fitting the standard response current to obtain the temperature correction curve at different detection voltages; Recording the temperature of the test sample solution when it is not measured as the reference temperature; obtaining a temperature correction curve corresponding to the preset voltage, and calculating correction coefficients of different temperatures and the reference temperature according to the temperature correction curve; Obtain test sample solution The measured temperature when measuring the response current, the corresponding correction coefficient is obtained according to the measured temperature, and the response current is corrected by the correction coefficient to obtain the corrected response current ; The test sample solution The measured M group corrected response current is recorded as , the reference response current is obtained by the mean calculation method , the reference response current ; The deviation degree of the M group corrected response current is obtained by deviation difference analysis The degree of deviation The calculation formula is: ； The response current will be corrected With the reference response current The absolute difference is less than the deviation Corrected response current Retain and record as qualified response current and the qualified response current The response current is obtained by the mean calculation method .

5. The method for detecting mercury content in solid waste according to claim 3, wherein: The method further comprises: Obtain a preset voltage test sample solution, determine the preset voltage of the preset voltage test sample solution according to a scanning algorithm; obtain an adjusted voltage according to the initial voltage, adjustment time interval, and adjustment voltage difference pre-set by the scanning algorithm, obtain the response current corresponding to the adjusted voltage and draw a voltage-current curve, obtain the adjusted voltage corresponding to the peak response current of the voltage-current curve and record it as the preset voltage.

6. The method for detecting mercury content in solid waste according to claim 1, wherein: The method of obtaining a characteristic signal related to the mercury content of the solution to be tested; and applying the characteristic signal to a mercury content prediction model to obtain a predicted value of the mercury content and recording the predicted value as the second mercury content includes: The characteristic signal includes the effective response current of the solution to be tested and the corresponding preset voltage and the type and proportion of the solid waste used to prepare the solution to be tested; The types, proportions, effective response currents and corresponding preset voltages of solid waste detected in historical mercury content tests are obtained. The mercury content prediction model establishes a mapping relationship between the types, proportions, effective response currents and corresponding preset voltages of solid waste and mercury content through a deep learning algorithm.

7. The method for detecting mercury content in solid waste according to claim 1, characterized in that: The method of obtaining the third mercury content by numerically analyzing the first mercury content and the second mercury content includes: When the first mercury content With the second mercury content When the absolute percentage difference is less than a preset difference threshold, the first mercury content and the second mercury content are averaged to obtain a third mercury content. , and update the mercury content prediction model for training; When the first mercury content With the second mercury content When the absolute percentage difference is greater than the preset difference threshold, the first mercury content Conduct retesting; The mean value algorithm uses a linear weighted algorithm to obtain the third mercury content , first mercury content With the second mercury content The weight coefficients are preset as 、 ,and The third mercury content for: .

8. The method for detecting mercury content in solid waste according to claim 1, wherein: The method of obtaining a test solution by randomly sampling and digesting the first sample comprises: The digestion treatment adopts microwave digestion method, and microwave digestion parameters are obtained by orthogonal design optimization method according to preset microwave digestion targets; the preset microwave digestion targets include digestion efficiency and recovery rate; the microwave digestion parameters include digestion temperature, digestion time, type and amount of digestant; The microwave digestion parameters are analyzed by a data analysis method to obtain an analysis result, and the microwave digestion parameter corresponding to the maximum value of the analysis result is recorded as the optimal microwave digestion parameter; Digestion processing is performed according to the optimal microwave digestion parameters, and temperature parameters and pressure parameters during the digestion processing are obtained through a real-time monitoring method; and the optimal microwave digestion parameters are adjusted through an optimization algorithm according to the temperature parameters and pressure parameters.

9. The method for detecting mercury content in solid waste according to claim 1, wherein: The electrochemical detection method includes the following methods: The sensitive material is a thymine-rich aptamer, and the electrochemical sensor is obtained by connecting the thymine-rich aptamer on the surface of nanoporous gold through a self-assembly method.

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