5 results about "Permanganate index" patented technology

This invention discloses a method for determining the permanganate index based on modified biochar adsorbents, comprising the following steps: Step 1, modifying the biochar with a modifying solution. When the concentration of the modifying solution is 0.1 mol / L, an acidic modifier is used to modify the biochar adsorbent; when the concentration of the modifier solution is 0.2~0.4 mol / L, a salt modifier is used. Step 2, thoroughly shaking and mixing the modified biochar adsorbent with a water sample, adding sulfuric acid solution to acidify the water sample, adding potassium permanganate solution to the acidified water sample and heating the reaction, adding sodium oxalate solution after heating, shaking until the solution becomes colorless and without precipitate, titrating with potassium permanganate solution while hot until a light pink color appears and does not fade within a fixed time, recording the volume of potassium permanganate solution consumed, and calculating the potassium permanganate index. The type and concentration of the modifier used in this invention have a significant impact on the adsorption performance of biochar.

The invention provides a permanganate index on-line automatic determination method and system, and the method comprises the steps: synchronously obtaining an oxidation-reduction potential signal, an absorbance signal and a temperature signal of a to-be-detected solution at the same measurement point, and carrying out the temperature drift compensation of the oxidation-reduction potential to extract the potential change characteristics, thereby determining a predicted titration volume interval. If the potential change characteristic meets a first end point judgment condition and the absorbance signal reaches a verification threshold value, determining the corresponding volume as a first end point; if the potential change characteristic does not meet the condition or the absorbance signal does not reach the verification threshold value, the absorbance change characteristic is extracted based on the absorbance signal, and a second end point is determined when a second end point judgment condition is met. And judging a final titration end point according to the obtained number of end points and a difference value between the two end points, and calculating a permanganate index. Through potential and absorbance dual-signal collaborative decision making, the terminal point identification accuracy and the anti-interference capability are improved, and the method is suitable for online automatic monitoring of complex water bodies.

The invention discloses a permanganate index detection method and system based on a water quality detector, and relates to the technical field of water quality detection.The permanganate index detection method comprises the following steps that S1, a to-be-detected water sample and a potassium permanganate reagent react under preset conditions to form a to-be-detected reaction solution, the absorbance of the to-be-detected reaction solution is obtained through a spectrophotometer, and the absorbance of the to-be-detected reaction solution is calculated; obtaining the turbidity of the reaction liquid to be detected through a turbidimeter, establishing a turbidity interference database, and obtaining a turbidity interference compensation value through the turbidity interference database and the turbidity of the reaction liquid to be detected; the turbidity interference database is established, so that the corresponding turbidity interference compensation value is matched according to the turbidity condition of the reaction liquid, and the absorbance detected under the turbidity is corrected according to the turbidity interference compensation value, thereby being beneficial to avoiding the influence of the turbidity on the absorbance detection when the permanganate index is measured by a spectrophotometric method; and thus, the measurement result is more accurate.

The application provides a permanganate index online automatic determination method and system, the method comprises the following steps: synchronously acquiring the oxidation-reduction potential signal, the absorbance signal and the temperature signal of the solution to be measured at the same measurement point, and performing temperature drift compensation on the oxidation-reduction potential to extract the potential change characteristics, so as to determine the predicted titration volume interval. If the potential change characteristics meet the first end point determination condition and the absorbance signal reaches the verification threshold, the corresponding volume is determined as the first end point; if the potential change characteristics do not meet the condition or the absorbance signal does not reach the verification threshold, the absorbance change characteristics are extracted based on the absorbance signal, and the second end point is determined when the second end point determination condition is met. According to the obtained number of end points and the difference between the two end points, the final titration end point is determined, and the permanganate index is calculated. The application improves the end point recognition accuracy and the anti-interference ability through the cooperative decision of the potential and the absorbance signals, and is suitable for online automatic monitoring of complex water bodies.

The present application relates to a kind of multi-parameter water quality remote sensing inversion methods based on dynamic weighted ensemble learning, by spatial and temporal matching and preprocessing to multispectral remote sensing image and water quality monitoring data, construct basic dataset;Further fusion spectrum interaction feature, remote sensing index feature, time period feature and spatial statistical feature, form multi-source composite feature engineering, and obtain optimal feature subset by the feature screening mechanism of model importance, correlation and mutual information combination;On this basis, multi-model pool is constructed, and integrated learning is carried out according to model performance adaptive weight distribution, realize the synchronous inversion of turbidity, permanganate index, dissolved oxygen, total nitrogen and total phosphorus and other various water quality parameters.The present application can improve the stability and generalization ability of inversion result, and is suitable for remote sensing water quality monitoring application of multiple types of water body.