CN117003356A

CN117003356A - Intelligent dosing system applied to denitrification and dephosphorization water treatment process

Info

Publication number: CN117003356A
Application number: CN202311264029.6A
Authority: CN
Inventors: 刘星群; 沈轩; 漆青松
Original assignee: Guangdong Kechuang Zhishui Technology Co ltd
Current assignee: Guangdong Kechuang Zhishui Technology Co ltd
Priority date: 2023-09-28
Filing date: 2023-09-28
Publication date: 2023-11-07
Anticipated expiration: 2043-09-28
Also published as: CN117003356B

Abstract

The application discloses an intelligent dosing system applied to a denitrification and dephosphorization water treatment process, and relates to the technical field of sewage treatment. The application comprises a pollutant detection unit, a detection control unit and a purification medicament delivery unit, wherein the concentration of each kind of nitrogen-phosphorus pollutant in the sewage flowing into the reaction tank is obtained at intervals to obtain the association relationship between the marked nitrogen-phosphorus pollutant and the non-marked nitrogen-phosphorus pollutant in each kind of nitrogen-phosphorus pollutant; obtaining the concentration of each kind of non-marked nitrogen-phosphorus pollutant in the sewage flowing into the reaction tank according to the continuously obtained association relation between the marked nitrogen-phosphorus pollutant and the non-marked nitrogen-phosphorus pollutant in the sewage flowing into the reaction tank; and (3) adding corresponding purifying agents into the reaction tank according to the concentrations of the marked nitrogen-phosphorus pollutants and the unmarked nitrogen-phosphorus pollutants of the various types in the sewage flowing into the reaction tank. The application effectively reduces the detection frequency of the sewage containing the nitrogen and phosphorus pollutants.

Description

Intelligent dosing system applied to denitrification and dephosphorization water treatment process

Technical Field

The application belongs to the technical field of sewage treatment, and particularly relates to an intelligent dosing system applied to a denitrification and dephosphorization water treatment process.

Background

With the rapid development of industrialization and city, the problem of nitrogen and phosphorus pollution in water is increasingly serious, and the environment is greatly influenced. Nitrogen and phosphorus are main causes of water bloom and eutrophication, and excessive nitrogen and phosphorus enter a water body to cause algae to multiply in large quantity, so that water bloom burst is initiated, and ecological balance of the water body and drinking water safety of people are seriously threatened.

The traditional denitrification and dephosphorization technology mainly comprises three methods of physics, chemistry and biology. Wherein, the chemical method precipitates, complexes or adsorbs nitrogen and phosphorus in water by adding chemical agent, thereby achieving the aim of denitrification and dephosphorization. However, the traditional chemical dosing mode usually depends on manual or simple timing control, so that not only is the dosing amount difficult to accurately control, but also excessive dosing or insufficient dosing can be caused, and resource waste or poor treatment effect can be caused.

Disclosure of Invention

The application aims to provide an intelligent dosing system applied to a denitrification and dephosphorization water treatment process, which can be used for detecting sewage to be treated flowing into a reaction tank in a targeted manner, and effectively reducing the detection frequency of sewage containing nitrogen and phosphorus pollutants on the premise of keeping accurate dosing amount.

In order to solve the technical problems, the application is realized by the following technical scheme:

the application provides an intelligent dosing system applied to a denitrification and dephosphorization water treatment process, which comprises,

a pollutant detection unit for obtaining the concentration of each kind of nitrogen and phosphorus pollutant in the sewage flowing into the reaction tank at intervals;

the detection control unit is used for obtaining the marked nitrogen-phosphorus pollutants in the nitrogen-phosphorus pollutants of each kind and the association relation between the marked nitrogen-phosphorus pollutants and the non-marked nitrogen-phosphorus pollutants according to the concentration of the nitrogen-phosphorus pollutants of each kind in the sewage flowing into the reaction tank, which is acquired at intervals;

the pollutant detection unit is also used for continuously acquiring the concentration of the marked nitrogen and phosphorus pollutants in the sewage flowing into the reaction tank;

the detection control unit is further used for obtaining the concentration of each kind of non-marked nitrogen-phosphorus pollutant in the sewage flowing into the reaction tank according to the continuously obtained concentration of the marked nitrogen-phosphorus pollutant in the sewage flowing into the reaction tank and the association relation between the marked nitrogen-phosphorus pollutant and the non-marked nitrogen-phosphorus pollutant;

and the purification medicament delivery unit is used for delivering corresponding purification medicaments to the reaction tank according to the concentrations of the marked nitrogen-phosphorus pollutants and the unmarked nitrogen-phosphorus pollutants of various types in the sewage flowing into the reaction tank.

The application also discloses an intelligent dosing system applied to the denitrification and dephosphorization water treatment process, which comprises,

a medicine replenishing unit for acquiring the remaining amount of each kind of the purifying medicine in the purifying medicine dispensing unit and the replenished used amount;

judging whether the residual quantity of the purifying medicament triggers a set warning value or not;

if yes, an instruction is sent to remind the addition of the corresponding supplemented used amount;

if not, the operation is not performed, and the continuous judgment is returned to whether the residual quantity of the purifying medicament triggers the set warning value.

The application detects the sewage flowing into the reaction tank through the pollutant detection unit, and controls the detection frequency of the pollutant detection unit through the detection control unit, so that the detection frequency is reduced on the premise of not reducing the detection precision and the comprehensiveness. Thereby realizing the accurate control of purifying agent delivery and simultaneously reducing the detection cost of water treatment.

Of course, it is not necessary for any one product to practice the application to achieve all of the advantages set forth above at the same time.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of functional modules and information flow of an intelligent dosing system for a denitrification and dephosphorization water treatment process according to an embodiment of the present application;

FIG. 2 is a schematic flow chart of steps of an embodiment of an intelligent dosing system for a denitrification and dephosphorization water treatment process according to the present application;

FIG. 3 is a flow chart illustrating the steps of the step S1 according to an embodiment of the application;

FIG. 4 is a flowchart illustrating the step S11 according to an embodiment of the present application;

FIG. 5 is a flowchart illustrating the step S12 according to an embodiment of the present application;

FIG. 6 is a flowchart illustrating the step S3 according to an embodiment of the present application;

FIG. 7 is a flowchart illustrating the step S2 according to an embodiment of the present application;

FIG. 8 is a flowchart illustrating the step S23 according to an embodiment of the present application;

FIG. 9 is a flowchart illustrating the step S24 according to an embodiment of the present application;

in the drawings, the list of components represented by the various numbers is as follows:

the device comprises a 1-pollutant detection unit, a 2-detection control unit, a 3-purifying medicament delivery unit and a 4-medicament supplementing unit.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.

It should be noted that the embodiments described in the following exemplary examples do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.

Denitrification and dephosphorization are common techniques in water treatment, especially in the treatment of municipal and industrial wastewater. Its purpose is to remove nitrogen and phosphorus from water, both of which are major nutrient salts, which if present in excess in natural bodies of water can lead to water bloom, eutrophication and other ecological problems.

Nitrogen is present in wastewater primarily in the form of ammonia nitrogen, nitrite nitrogen and nitrate nitrogen. The denitrification process mainly comprises two biological processes: nitrification and denitrification. Nitrifying: in this step, ammonia nitrogen is first oxidized to nitrite and then oxidized to nitrate. This process requires oxygen and is catalyzed by nitrifying bacteria such as Nitrosomonas and Nitrobacteria. Denitrification: the nitrate is reduced to nitrogen in this step and escapes from the system. This process is carried out under anaerobic conditions by denitrifying bacteria such as Pseudomonas and Bacillus. The artificial carbon source used for denitrification is methanol, ethanol, denatured ethanol, acetic acid, sodium acetate and other pure medicaments, or waste sugar, molasses, waste acetic acid solution and the like in the industrial production process. Among them, methanol is most commonly used and proved to be the most suitable carbon source.

Phosphorus is typically present in wastewater in the form of phosphate. The purpose of the dephosphorization is to convert this dissolved inorganic phosphate to a solid state so that it can be physically removed from the system. The dephosphorization method mainly comprises chemical dephosphorization, namely, adding chemical flocculant (such as aluminum chloride, ferric chloride or ferric hydroxide) to react with phosphate to generate precipitate.

In order to effectively denitrify and dephosphorize, water treatment plants often need to maintain a sufficient concentration of purification agents, such as methanol, aluminum chloride, ferric chloride or ferric hydroxide, in the reaction tank. However, excessive amounts of the purification agent also affect the efficient progress of the purification reaction, and also increase the cost of the purification treatment. This requires accurate detection of the concentration of various nitrogen and phosphorus contaminants in the wastewater to be treated. However, the nitrogen and phosphorus pollutants are of a large variety, and the cost of all the real-time high-precision detection is high. In order to reduce the cost of detection without affecting the comprehensiveness of the detection accuracy, the application provides the following scheme.

Referring to fig. 1 to 2, the present application provides an intelligent dosing system for a denitrification and dephosphorization water treatment process, which comprises a pollutant detection unit 1, a detection control unit 2, a purification agent delivery unit 3 and an agent supplementing unit 4. The contaminant detection unit 1 may be various water quality detection sensors, or may be an imaging sampling detection device or laboratory. The detection control unit 2 may be various types of controllers. The purified medicament delivery unit 3 may be a dosing device and the medicament replenishment unit 4 may be a dosing device.

In the specific implementation process, the pollutant detection unit 1 performs step S1 to obtain the concentration of each kind of nitrogen and phosphorus pollutant in the sewage flowing into the reaction tank at intervals. And then the detection control unit 2 can execute step S2 to obtain the marked nitrogen-phosphorus pollutants in the nitrogen-phosphorus pollutants of each kind and the association relation between the marked nitrogen-phosphorus pollutants and the non-marked nitrogen-phosphorus pollutants according to the concentration of the nitrogen-phosphorus pollutants of each kind in the sewage flowing into the reaction tank, which is acquired at intervals. Next, step S3 may be performed by the contaminant detection unit 1 to continuously obtain the concentration of the labeled nitrogen-phosphorus contaminant in the sewage flowing into the reaction tank. The detection control unit 2 may then perform step S4 to obtain the concentrations of the non-labeled nitrogen-phosphorus contaminants of the respective types in the wastewater flowing into the reaction tank according to the continuously obtained concentrations of the labeled nitrogen-phosphorus contaminants in the wastewater flowing into the reaction tank and the association relationship between the labeled nitrogen-phosphorus contaminants and the non-labeled nitrogen-phosphorus contaminants. And finally, the purifying agent adding unit 3 performs step S5 to add the corresponding purifying agent to the reaction tank according to the concentrations of the marked nitrogen-phosphorus pollutants and the unmarked nitrogen-phosphorus pollutants of each kind in the sewage flowing into the reaction tank. In the scheme, the reaction tank closes the outflow end in the purification reaction process, the sewage at the inflow end is kept to flow continuously, the total amount of the sewage flowing into the reaction tank and the concentration of each nitrogen and phosphorus pollutant are obtained through the steps S1 to S4, so that the molar quantity of each nitrogen and phosphorus pollutant is obtained, and the purification medicament with the corresponding molar quantity is added. For example, the molar addition of iron salt required for phosphorus precipitation is based on the desired dissolved phosphorus concentration of the effluent water rather than the influent water phosphorus concentration. If the concentration of phosphorus in the primary sedimentation tank is reduced to 1mg/L, the mole ratio of the ferric salt to the phosphorus to be added is 1.67:1 or 3:1. The molar ratio of ferric salt to phosphorus to be added to remove 0.5 mg/L of soluble phosphorus in the secondary treatment system is 2.27:1 or the mass ratio is 4.1:1.

In order to timely replenish the various types of the purification drugs in the purification drug delivery unit 3, the remaining amounts of the respective types of the purification drugs in the purification drug delivery unit and the replenished used amounts may be received by the drug replenishment unit 4. And then judging whether the residual quantity of the purifying medicament triggers a set warning value. If yes, an instruction is sent to remind the user of adding the corresponding supplemented used amount, if not, the operation is not performed, and whether the residual amount of the purifying medicament triggers the set warning value is continuously judged. Thereby avoiding the influence of the exhaustion of the purifying agent in the purifying agent dosing unit 3 on the sewage treatment.

Referring to fig. 3, the concentration of various substances in the reaction wastewater generally varies with time, while maintaining relative stability. This is because the proportion of raw materials in the upstream biochemical reaction is relatively determined, and the course of the biochemical reaction is controlled, so that the concentration of each kind of contaminant in the sewage flowing into the reaction tank fluctuates within a certain range. Because the fluctuation of the concentration of each kind of nitrogen and phosphorus pollutant has consistency within a certain range, the concentration of each kind of nitrogen and phosphorus pollutant in the sewage of the reaction tank can be detected at high frequency, and then the detection is carried out at low frequency, so that the detection cost and the detection accuracy can be both considered. Specifically, in the implementation process of step S1, step S11 may be performed first to obtain the concentration of each kind of nitrogen-phosphorus contaminant in the sewage flowing into the reaction tank according to the minimum sampling interval duration during the high-frequency sampling period. Step S12 may be performed next to acquire the duration of the suspension period. Step S13 may be performed next to enter the suspension period after ending the high frequency sampling period. Finally, step S14 may be performed to continue with the next round of high frequency sampling period after ending the suspension period.

As shown in fig. 4, since the high frequency detection has a high cost, it is necessary to terminate the high frequency detection in time after the fluctuation state of the concentration of each kind of contaminant in the sewage flowing into the reaction tank is obtained. Specifically, in the implementation process of step S11, step S111 may be performed first to obtain the concentration of each kind of nitrogen and phosphorus contaminant in the sewage flowing into the reaction tank by sampling at a high frequency at a minimum sampling interval. Step S112 may be performed to obtain the concentration of each kind of nitrogen-phosphorus contaminant in the wastewater flowing into the reaction tank according to the long high frequency sampling at the minimum sampling interval, and obtain the relationship of the concentration of each kind of nitrogen-phosphorus contaminant in the wastewater flowing into the reaction tank in the high frequency sampling period with respect to the sampling time. Step S113 may be performed to calculate the fluctuation degree of the concentration of each kind of nitrogen-phosphorus contaminant in the first half period and all periods of the high-frequency sampling period from the relationship of the concentration of each kind of nitrogen-phosphorus contaminant in the sewage flowing into the reaction tank in the high-frequency sampling period with respect to the sampling timing. Step S114 may be next performed to determine whether the degree of fluctuation in the concentration of each kind of nitrogen-phosphorus contaminant in the first half of the high-frequency sampling period is equal to the degree of fluctuation in the concentration of the corresponding kind of nitrogen-phosphorus contaminant in all periods. If so, step S115 may be performed next to end the high frequency sampling period, and if not, step S111 may be performed next to continue high frequency sampling.

To supplement the above-described implementation procedures of step S111 to step S115, source codes of part of the functional modules are provided, and a comparison explanation is made in the annotation section. In order to meet the trade secret requirements of the related laws and regulations on the production process, the desensitization treatment is carried out on part of data which does not influence the implementation of the scheme, and the following is carried out.

#include <iostream>

#include <map>

#include <vector>

#include <cmath>

#include <chrono>

#include <thread>

using namespace std;

Obtaining concentration of nitrogen and phosphorus pollutants of each kind in sewage flowing into reaction tank

map<string, double> getNitrogenAndPhosphorusConcentration() {

In a practical context, there may be some sensor acquired data

For simplicity, return random data here

map<string, double> concentrations;

concentration [ "N1" ] =50.0+rand ()% 10;// unlabeled nitrogen

concentration [ "N2" ] =60.0+rand ()% 10;// tag Nitrogen

concentration [ "P1" ] = 70.0+rand ()% 10;// unlabeled phosphorus

concentrations [ "P2" ] =80.0+rand ()% 10;// labeled phosphorus

return concentrations;

}

Calculating the degree of fluctuation

double calculateFluctuation(const vector<double>& values) {

double sum = 0;

for (double value : values) {

sum += value;

}

double mean = sum / values.size();

double variance = 0;

for (double value : values) {

variance += (value - mean) * (value - mean);

}

return sqrt(variance / values.size());

}

int main() {

const int highFreqSamplingInterval =10;// minimum sample interval duration, e.g. 10 seconds

vector<map<string, double>> samples;

while (true) {

High frequency sampling

samples.push_back(getNitrogenAndPhosphorusConcentration());

Calculating the degree of fluctuation in the first half period and the entire period

map<string, double> halfPeriodFluctuation, fullPeriodFluctuation;

for (const auto& pair : samples[0]) {

const string& key = pair.first;

vector<double> halfPeriodValues, fullPeriodValues;

for (size_t i = 0; i < samples.size() / 2; ++i) {

halfPeriodValues.push_back(samples[i][key]);

}

for (size_t i = 0; i < samples.size(); ++i) {

fullPeriodValues.push_back(samples[i][key]);

}

halfPeriodFluctuation[key] = calculateFluctuation(halfPeriodValues);

fullPeriodFluctuation[key] = calculateFluctuation(fullPeriodValues);

}

Determining the degree of fluctuation

bool isEqual = true;

for (const auto& pair : halfPeriodFluctuation) {

const string& key = pair.first;

if (pair-full period flow [ key ]) > 1 e-6) {// use certain tolerance to judge equality

isEqual = false;

break;

}

Determining whether to continue high frequency sampling according to the judgment result

if (isEqual) {

break;

}

Waiting for a minimum sampling interval duration

this_thread::sleep_for(chrono::seconds(highFreqSamplingInterval));

}

cout < < "< < endl" end of high frequency sampling period;

return 0;

}

the procedure is to first periodically sample the concentration of nitrogen and phosphorus contaminants in the wastewater flowing into the reaction tank at a high frequency. For each sampling point, the degree of fluctuation of the concentration of the first half period and the entire high-frequency sampling period is calculated. It is determined whether the degree of fluctuation in the first half period is equal to the degree of fluctuation in the entire period. If equal, the high frequency sampling period ends. Otherwise the program will continue with high frequency sampling.

Referring to fig. 5, since the concentration of the nitrogen and phosphorus contaminants in the sewage obtained by the low frequency detection is not comprehensive, in order not to affect the comprehensiveness and accuracy of the detection, the high frequency detection of the sewage needs to be restarted when necessary, which requires ending the suspension period in time. Specifically, step S12 described above may be performed in the specific implementation process by first acquiring the sampling allowable accuracy error of the concentration of the nitrogen-phosphorus contaminant in step S121. Step S122 may be performed to calculate average concentrations of the respective kinds of nitrogen and phosphorus contaminants in the first half period and the second half period of the high-frequency sampling period from the relationship of the concentrations of the respective kinds of nitrogen and phosphorus contaminants in the sewage flowing into the reaction tank in the high-frequency sampling period with respect to the sampling time. Step S123 may be performed next to obtain the rate of change of the concentration of each kind of nitrogen-phosphorus contaminant from the difference in average concentration of the concentration of each kind of nitrogen-phosphorus contaminant in the first half period and the second half period of the high-frequency sampling period. Step S124 may be performed next to obtain allowable error accumulation periods of the respective kinds of nitrogen-phosphorus contaminants based on the sampling allowable accuracy errors of the concentrations of the nitrogen-phosphorus contaminants and the rates of change of the concentrations of the respective kinds of nitrogen-phosphorus contaminants. Finally, step S125 may be performed to take the minimum value of the allowable error accumulation periods of the respective kinds of nitrogen-phosphorus contaminants as the suspension period.

To supplement the above-described implementation procedures of step S121 to step S125, source codes of part of the functional modules are provided, and a comparison explanation is made in the annotation section.

#include <iostream>

#include <map>

#include <vector>

#include <cmath>

#include <limits>

using namespace std;

Sampling of/obtaining the concentration of nitrogen and phosphorus contaminants allows for accuracy errors

double getAllowedPrecisionError() {

In a practical scenario, this error may originate from a certain system or device setting, where a fixed value is returned for simplicity

return 0.5;// example error value

}

int main() {

vector < map < string, double > > samples;// data for high frequency sampling period, where there is already data

Calculating the average concentration of the first half period and the second half period

map<string, double> firstHalfAverage, secondHalfAverage;

int halfSize = samples.size() / 2;

for (const auto& pair : samples[0]) {

const string& key = pair.first;

double firstHalfSum = 0.0, secondHalfSum = 0.0;

for (int i = 0; i < halfSize; ++i) {

firstHalfSum += samples[i][key];

secondHalfSum += samples[i + halfSize][key];

}

firstHalfAverage[key] = firstHalfSum / halfSize;

secondHalfAverage[key] = secondHalfSum / halfSize;

}

Calculating the rate of change of the concentration of each type of nitrogen-phosphorus contaminant

map<string, double> changeRate;

for (const auto& pair : firstHalfAverage) {

const string& key = pair.first;

changeRate[key] = abs(secondHalfAverage[key] - pair.second) / halfSize;

}

Obtaining the allowable error accumulation duration of each kind of nitrogen-phosphorus pollutant according to the sampling allowable precision error and the change rate of the concentration of the nitrogen-phosphorus pollutant

double allowedError = getAllowedPrecisionError();

map<string, double> allowedErrorAccumulationDuration;

for (const auto& pair : changeRate) {

const string& key = pair.first;

allowedErrorAccumulationDuration[key] = allowedError / pair.second;

}

The minimum value of the allowable error accumulation duration of each kind of nitrogen-phosphorus pollutant is taken as the suspension period

double pauseDuration = numeric_limits<double>::max();

for (const auto& pair : allowedErrorAccumulationDuration) {

pauseDuration = min(pauseDuration, pair.second);

}

The period of cout < < "pause is" < < pouseduration < < "unit time" < < endl;

return 0;

}

this procedure first acquires a sampling allowable accuracy error of the concentration of the nitrogen-phosphorus contaminant, and calculates the average concentration of each kind of nitrogen-phosphorus contaminant in the first half period and the second half period based on the data of the high-frequency sampling. The rate of change of its concentration is then calculated. The rate of change of concentration and the allowable accuracy error are then used to determine the allowable error accumulation duration for each type of nitrogen-phosphorus contaminant. And finally selecting the minimum accumulated time length from the accumulated time length as the suspension period.

Referring to fig. 6, irregular variation may occur in the sewage flowing into the reaction tank, and if such variation occurs, the suspension period needs to be terminated in time and the high-frequency sampling is restarted. Specifically, step S3 described above may be performed in the course of the implementation by first acquiring the fluctuation degree of the concentration of the marker nitrogen-phosphorus contaminant in the high-frequency sampling period in step S31. Step S32 may be performed to continuously acquire the fluctuation degree of the concentration of the labeled nitrogen-phosphorus contaminant in the suspension period according to the concentration of the labeled nitrogen-phosphorus contaminant in the sewage flowing into the reaction tank in the suspension period in continuously acquiring the concentration of the labeled nitrogen-phosphorus contaminant in the sewage flowing into the reaction tank. Step S33 may be next performed to determine whether the degree of fluctuation in the concentration of the labeled nitrogen-phosphorus contaminant in the suspension period exceeds the degree of fluctuation in the concentration of the labeled nitrogen-phosphorus contaminant in the high-frequency sampling period. If so, step S34 may be performed next to end the suspension period and continue the next round of high frequency sampling period, and if not, step S35 may be performed last to wait for the suspension period to end and continue the next round of high frequency sampling period.

Referring to fig. 7, the concentrations of various nitrogen and phosphorus contaminants in wastewater are related, for example, the concentrations of nitrate and nitrite in wastewater from reaction waste are typically inversely related. In the case of detecting only the concentration of a part of the nitrogen-phosphorus contaminant, the concentration of another nitrogen-phosphorus contaminant may be obtained based on the correlation between the concentrations. Specifically, in the implementation of step S2, step S21 may be performed first to obtain the relationship between the concentration increase and concentration decrease of each kind of nitrogen-phosphorus contaminant with respect to the sampling time, based on the obtained concentration of each kind of nitrogen-phosphorus contaminant in the wastewater flowing into the reaction tank during the high-frequency sampling period. Step S22 may be performed next to obtain the relationship of the concentration increase rate and the concentration decrease rate of each kind of nitrogen-phosphorus contaminant with respect to the sampling timing from the relationship of the concentration increase amount and the concentration decrease amount of each kind of nitrogen-phosphorus contaminant with respect to the sampling timing. Step S23 may be performed next to extract the rate-change characteristics of the relationship between the concentration increase rate and the concentration decrease rate of each kind of nitrogen-phosphorus contaminant with respect to the sampling timing. Step S24 may be performed to classify the nitrogen-phosphorus contaminants of several kinds having the same concentration variation into the relevant contaminant groups according to the concentration increase rate and the rate variation characteristic of the relationship between the concentration decrease rate and the sampling time of each kind of nitrogen-phosphorus contaminants. Step S25 may then be performed to select one of the nitrogen-phosphorous contaminants within each of the related contaminant groups as a labeled nitrogen-phosphorous contaminant. Finally, step S26 may be executed to obtain the association relationship between the labeled nitrogen-phosphorus contaminant and the unlabeled nitrogen-phosphorus contaminant according to the consistency of the concentration increase or concentration decrease of each kind of nitrogen-phosphorus contaminant in the related contaminant group.

In view of the correlation between step S21 and step S26, in step S4, non-labeled nitrogen-phosphorus contaminants of each type in the wastewater flowing into the reaction tank can be obtained according to the consistency of the increase or decrease of the concentration of nitrogen-phosphorus contaminants of each type in the related contaminant group and the continuously obtained concentration of labeled nitrogen-phosphorus contaminants in the wastewater flowing into the reaction tank.

To supplement the above-described implementation procedures of step S21 to step S26, source codes of part of the functional modules are provided, and a comparison explanation is made in the annotation section.

#include <iostream>

#include <vector>

#include <map>

using namespace std;

Data structure/: type, concentration, time of day

struct Sample {

string category;// pollutant species

double concentration;

int timestamp;

};

Concentration variation characteristics of the extraction

double extractFeature(const vector<double>& rates) {

double sum = 0;

for (double rate : rates) {

sum += rate;

}

return sum/rate.size ();// simply uses the average as the feature

}

int main() {

Data within the/(high frequency sampling period, here example data)

vector<Sample> samples = {

{"N1", 50, 1},

{"N2", 60, 1},

Other data//

};

Preserving concentration variation with respect to sampling time using map

map<string, map<int, double>> concentrationDeltas;

for (int i = 1; i < samples.size(); ++i) {

string category = samples[i].category;

int timeDiff = samples[i].timestamp - samples[i-1].timestamp;

double concentrationDiff = samples[i].concentration - samples[i-1].concentration;

double rate = concentrationDiff / timeDiff;

concentrationDeltas[category][samples[i].timestamp] = rate;

}

Variable rate of extraction features

map<string, double> rateFeatures;

for (const auto& pair : concentrationDeltas) {

rateFeatures[pair.first] = extractFeature(pair.second);

}

Concentration variation-identical contaminants are classified into relevant contaminant families

map < double, vector < string > > pollutantGroups;// mapping of features to categories

for (const auto& pair : rateFeatures) {

pollutantGroups[pair.second].push_back(pair.first);

}

Selecting one nitrogen phosphorus contaminant per relevant contaminant population as a marker nitrogen phosphorus contaminant

map < string >, vector < string > > markedPollutants;// mapping of markers to related contaminants

for (const auto& pair : pollutantGroups) {

string mark = pair.second [0 ];// first selected as the mark

markedPollutants[marked] = pair.second;

}

Output of relationship of labeled nitrogen phosphorus contaminants to related contaminants

for (const auto& pair : markedPollutants) {

cout < < < label nitrogen phosphorus pollutant: "< < pair. First <", related pollutant: ";

for (const string& pollutant : pair.second) {

cout << pollutant << " ";

}

cout << endl;

}

return 0;

}

the code first defines a sample data structure to hold data during the high frequency sampling period. The rate of increase or decrease of the concentration with respect to the sampling instant is then calculated and these rates are saved in a map. Next the code extracts the change characteristics of the rate, simply using the average value as the characteristic. Based on these characteristics, the code classifies contaminants having similar concentration variations into related contaminant populations and selects the first contaminant of each population as the marker contaminant. Finally the code output marks the relationship of the contaminant to its associated contaminant.

Referring to fig. 8 to 9, since the present solution aims to predict the actual concentration of the nitrogen and phosphorus contaminants that are not actually detected at different moments, the change state of the concentration with respect to time can be used as a rate change feature. If the rate-of-change characteristics of different types of nitrogen contaminants have a high degree of similarity, it can be assumed that they have a high degree of correlation in concentration, and the true concentration of one of the nitrogen and phosphorus contaminants can be calculated from the concentration variation of the other nitrogen and phosphorus contaminant. Specifically, in the implementation process of step S23, step S231 may be performed first to obtain the numerical arrangement of the concentration increase rate and the concentration decrease rate of each kind of nitrogen-phosphorus contaminant at different sampling moments according to the relationship between the concentration increase rate and the concentration decrease rate of each kind of nitrogen-phosphorus contaminant with respect to the sampling moments. Next, step S232 may be performed to obtain a rate change sequence of the concentration increase rate and the concentration decrease rate of each kind of nitrogen-phosphorus contaminant as a rate change feature according to the numerical arrangement of the concentration increase rate and the concentration decrease rate of each kind of nitrogen-phosphorus contaminant at different sampling times. The features abstracted in the steps can classify the nitrogen and phosphorus pollutants with consistent concentration change characteristics together more than other features.

In the following sorting step, step S241 may be performed to select a plurality of the rate change series at different sampling times as the mark rate change series among the rate change series of the concentration increase rate and the concentration decrease rate of each kind of nitrogen-phosphorus contaminant. Step S242 may then be performed to calculate the offset value of each mark rate change sequence from other non-mark rate change sequences. Step S243 may then be performed to categorize the non-mark rate change sequence and the mark rate change sequence with the smallest deviation value into the same correlation set. Step S244 may then be performed to obtain an accumulated value for each of the marker rate change series within each of the correlation sets. Step S245 may then be performed to center the rate change sequence for each of the accumulated values in the relevant sets as an updated marked rate change sequence. Step S246 may then be performed to determine whether the updated mark rate change sequence has changed. If so, the steps S243 to S246 may be performed again to continuously update the relevant sets and the marking rate change series, and if not, the step S247 may be performed again to classify the nitrogen and phosphorus contaminants of the types corresponding to the rate change series in each relevant set into the same relevant contaminant group. It should be noted that the concentration changes of the nitrogen and phosphorus contaminants in the same related contaminant group are not completely consistent, and in this embodiment, classifying the nitrogen and phosphorus contaminants with high correlation of the concentration changes into the same related contaminant group can also satisfy the technical effect of predicting and calculating the actual concentration.

To supplement the above-described implementation procedures of step S241 to step S247, source codes of part of the functional modules are provided, and a comparison explanation is made in the annotation section.

#include <iostream>

#include <vector>

#include <map>

#include <algorithm>

#include <cmath>

using namespace std;

Data structure/: type, concentration, time of day

struct Sample {

string category;// pollutant species

double concentration;

int timestamp;

};

double computeDeviation(const vector<double>& a, const vector<double>& b) {

double deviation = 0;

for (int i = 0; i < a.size(); i++) {

deviation += pow(a[i] - b[i], 2);

}

return sqrt(deviation);

}

int main() {

Rate change features that have been extracted

map<string, vector<double>> rateChangeFeatures;

Array of rate of change of/(selectable marker)

vector < string > markers = { "N1", "N2" };// N1 and N2 as preliminary marker species

map<string, string> categoriesToGroups;

bool changed = true;

while (changed) {

changed = false;

Calculating deviation value of each marking rate change sequence from other non-marking rate change sequences

for (const auto& feature : rateChangeFeatures) {

string category = feature.first;

double minDeviation = numeric_limits<double>::max();

string minMarker;

for (const string& marker : markers) {

double deviation = computeDeviation(rateChangeFeatures[marker], feature.second);

if (deviation < minDeviation) {

minDeviation = deviation;

minMarker = marker;

}

Class/classification into related sets

categoriesToGroups[category] = minMarker;

}

Variable rate array for/(and update flags

for (const string& marker : markers) {

vector<double> newFeature(rateChangeFeatures[marker].size(), 0);

int count = 0;

for (const auto& pair : categoriesToGroups) {

if (pair.second == marker) {

count++;

for (int i = 0; i < newFeature.size(); i++) {

newFeature[i] += rateChangeFeatures[pair.first][i];

}

for (double& val : newFeature) {

val /= count;

}

if (newFeature != rateChangeFeatures[marker]) {

rateChangeFeatures[marker] = newFeature;

changed = true;

}

Output of species within each relevant contaminant population

for (const auto& pair : categoriesToGroups) {

The cout < < < type: "< < pair.first <", categorized to "< < pair.second < < endl";

}

return 0;

}

the code first defines a sample data structure to preserve the concentration of nitrogen and phosphorus contaminants and the sampling time. A function of the calculated bias is then defined to measure the distance between the two rate-change features. The code uses an iterative approach, first selecting several marker rate change arrays, then finding the least biased marker array for each non-marker array and grouping them into the same group. The code then updates each tag array to be the average of all arrays in its group. If the tag sequence changes, the code proceeds to the next iteration until there is no more change. The code outputs the relevant contaminant population to which each category belongs.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.

It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by hardware, such as circuits or ASICs (application specific integrated circuits, application Specific Integrated Circuit), which perform the corresponding functions or acts, or combinations of hardware and software, such as firmware, etc.

Although the application is described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

The foregoing description of embodiments of the application has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. An intelligent dosing system applied to a denitrification and dephosphorization water treatment process is characterized by comprising,

2. The system of claim 1, wherein the step of obtaining the concentration of each kind of nitrogen and phosphorus contaminant in the wastewater flowing into the reaction tank at intervals comprises,

acquiring the concentration of each kind of nitrogen and phosphorus pollutant in the sewage flowing into the reaction tank according to the minimum sampling interval duration in the high-frequency sampling period;

acquiring the duration of an abort period;

entering an abort period after ending the high frequency sampling period;

the next round of high frequency sampling period is continued after the end of the suspension period.

3. The system according to claim 2, wherein the step of obtaining the concentration of each kind of nitrogen and phosphorus contaminant in the sewage flowing into the reaction tank at the minimum sampling interval duration during the high frequency sampling period comprises,

acquiring the concentration of each kind of nitrogen and phosphorus pollutant in the sewage flowing into the reaction tank according to the minimum sampling interval time and high frequency sampling;

obtaining the concentration of each kind of nitrogen and phosphorus pollutant in the sewage flowing into the reaction tank according to the minimum sampling interval time and the long high-frequency sampling, and obtaining the relation of the concentration of each kind of nitrogen and phosphorus pollutant in the sewage flowing into the reaction tank in the high-frequency sampling period with respect to the sampling time;

calculating according to the relation of the concentration of each kind of nitrogen and phosphorus pollutant in the sewage flowing into the reaction tank in the high-frequency sampling period with respect to the sampling time to obtain the fluctuation degree of the concentration of each kind of nitrogen and phosphorus pollutant in the first half period and all periods of the high-frequency sampling period;

judging whether the fluctuation degree of the concentration of each kind of nitrogen-phosphorus pollutant in the first half period of the high-frequency sampling period is equal to the fluctuation degree of the concentration of the corresponding kind of nitrogen-phosphorus pollutant in all periods;

if yes, ending the high-frequency sampling period;

if not, continuing high-frequency sampling.

4. The system of claim 3, wherein the step of obtaining the duration of the abort period comprises,

acquiring a sampling allowable precision error of the concentration of the nitrogen-phosphorus pollutant;

calculating to obtain the average concentration of the concentration of each kind of nitrogen and phosphorus pollutant in the first half period and the second half period of the high-frequency sampling period according to the relation of the concentration of each kind of nitrogen and phosphorus pollutant in the sewage flowing into the reaction tank in the high-frequency sampling period with respect to the sampling time;

obtaining the change rate of the concentration of each kind of nitrogen-phosphorus pollutant according to the difference value of the average concentration of the concentration of each kind of nitrogen-phosphorus pollutant in the first half period and the second half period of the high-frequency sampling period;

obtaining the allowable error accumulation duration of each type of nitrogen-phosphorus pollutant according to the sampling allowable precision error of the concentration of the nitrogen-phosphorus pollutant and the change rate of the concentration of each type of nitrogen-phosphorus pollutant;

and taking the minimum value in the allowable error accumulation duration of each kind of nitrogen-phosphorus pollutants as the suspension period.

5. The system of claim 3, wherein the step of continuously obtaining the concentration of the labeled nitrogen and phosphorus contaminant in the wastewater flowing into the reaction tank comprises,

acquiring the fluctuation degree of the concentration of the marked nitrogen-phosphorus pollutant in the high-frequency sampling period;

continuously acquiring the fluctuation degree of the concentration of the marked nitrogen and phosphorus pollutants in the suspension period according to the continuously acquired concentration of the marked nitrogen and phosphorus pollutants in the sewage flowing into the reaction tank in the suspension period;

judging whether the fluctuation degree of the concentration of the marked nitrogen-phosphorus pollutant in the suspension period exceeds the fluctuation degree of the concentration of the marked nitrogen-phosphorus pollutant in the high-frequency sampling period;

if yes, ending the suspension period and continuing the next high-frequency sampling period;

if not, waiting for the end of the median period and continuing the next round of high frequency sampling period.

6. The system according to claim 2, wherein the step of obtaining the labeled nitrogen and phosphorus contaminants in the nitrogen and phosphorus contaminants of each type and the association relationship between the labeled nitrogen and phosphorus contaminants and the non-labeled nitrogen and phosphorus contaminants from the concentration of the nitrogen and phosphorus contaminants of each type in the sewage flowing into the reaction tank obtained at intervals comprises,

obtaining the relation of the concentration increment and concentration decrement of each kind of nitrogen-phosphorus pollutant with respect to the sampling time according to the concentration of each kind of nitrogen-phosphorus pollutant in the sewage flowing into the reaction tank, which is obtained in the high-frequency sampling period;

obtaining the relationship between the concentration increasing rate and the concentration decreasing rate of the nitrogen-phosphorus pollutants of each kind and the sampling time according to the relationship between the concentration increasing amount and the concentration decreasing amount of the nitrogen-phosphorus pollutants of each kind and the sampling time;

extracting the rate change characteristics of the relationship between the concentration increasing rate and the concentration decreasing rate of each kind of nitrogen and phosphorus pollutants with respect to the sampling time;

classifying the nitrogen-phosphorus pollutants of the same concentration variation into the related pollutant groups according to the concentration increasing rate and the rate variation characteristic of the relationship between the concentration decreasing rate of the nitrogen-phosphorus pollutants of each type and the sampling time;

selecting one nitrogen-phosphorus contaminant from each of said related contaminant populations as a marker nitrogen-phosphorus contaminant;

and obtaining the association relation between the marked nitrogen-phosphorus pollutants and the non-marked nitrogen-phosphorus pollutants according to the consistency of the concentration increment or concentration decrement of each kind of nitrogen-phosphorus pollutants in the related pollutant group.

7. The system of claim 6, wherein the step of extracting the rate-of-change characteristics of the relationship between the rate of increase and the rate of decrease of the concentration of each type of nitrogen-phosphorus contaminant with respect to the sampling instant comprises,

obtaining numerical arrangement of the concentration increasing rate and the concentration decreasing rate of the nitrogen and phosphorus pollutants of each kind at different sampling moments according to the relation of the concentration increasing rate and the concentration decreasing rate of the nitrogen and phosphorus pollutants of each kind with respect to the sampling moments;

and obtaining a rate change sequence of the concentration increasing rate and the concentration decreasing rate of the nitrogen and phosphorus pollutants of each kind as a rate change characteristic according to the numerical arrangement of the concentration increasing rate and the concentration decreasing rate of the nitrogen and phosphorus pollutants of each kind at different sampling moments.

8. The system of claim 7, wherein the step of classifying the nitrogen and phosphorus contaminants of several species having the same concentration variation into the relevant contaminant groups based on the rate-change characteristics of the relationship between the rate of increase and the rate of decrease of the concentration of the nitrogen and phosphorus contaminants of each species with respect to the sampling time comprises,

selecting a plurality of the rate change number columns of different sampling moments as marking rate change number columns in the concentration increasing rate and the concentration decreasing rate of each kind of nitrogen-phosphorus pollutants;

calculating the deviation value of each marking rate change sequence and other non-marking rate change sequences;

classifying the non-marking rate change sequence and the marking rate change sequence with the smallest deviation value into the same correlation set;

acquiring accumulated values of each mark rate change sequence in each related set;

taking the central rate change sequence of the accumulated value in each related set as an updated marked rate change sequence;

judging whether the updated mark rate change sequence changes or not;

if yes, continuously updating the related set and the marking rate change sequence;

if not, classifying the nitrogen and phosphorus pollutants of the types corresponding to the rate change sequence in each related set into the same related pollutant group.

9. The system according to claim 6, wherein the step of obtaining the concentrations of the non-labeled nitrogen and phosphorus contaminants of the respective kinds in the wastewater flowing into the reaction tank based on the continuously obtained concentrations of the labeled nitrogen and phosphorus contaminants in the wastewater flowing into the reaction tank and the correlation between the labeled nitrogen and phosphorus contaminants and the non-labeled nitrogen and phosphorus contaminants comprises,

and obtaining the non-marked nitrogen-phosphorus pollutants of each kind in the sewage flowing into the reaction tank according to the consistency of the concentration increment or concentration decrement of the nitrogen-phosphorus pollutants of each kind in the relevant pollutant group and the continuously obtained concentration of the marked nitrogen-phosphorus pollutants in the sewage flowing into the reaction tank.

10. An intelligent dosing system applied to a denitrification and dephosphorization water treatment process is characterized by comprising,

a chemical replenishing unit for obtaining the remaining amount of each kind of the purifying chemical and the replenished used amount in the purifying chemical adding unit in the intelligent chemical adding system applied to the denitrification and dephosphorization water treatment process according to any one of claims 1 to 9;