Water quality monitoring method and system for water conservancy pump station
By using spectral sensors in the water conservancy pump station to collect and analyze spectral data in the water flow in real time, automatically identify pollutants and adjust the amount of water treatment chemical agents to be released, the problems of extended response time for water quality management and low data processing efficiency in the existing technology are solved, real-time monitoring and rapid intervention of water quality are achieved, and treatment efficiency and pollution prevention capabilities are improved.
Patent Information
- Application Number
- CN202510483446.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-05-13
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The prior art relies on periodic detection and manual input in water quality management, resulting in a prolonged response time in emergency pollution events, making it difficult to achieve real-time monitoring and rapid intervention, and the data processing and pollutant quantitative efficiency are low.
Spectral sensors are used to collect spectral data in the water flow in real time at the inlet of the water conservancy pump station. By analyzing the spectral characteristics matching the pollutant characteristics, calculating the characteristic peaks of the pollutant, obtaining chemical warning signals, and automatically identifying the characteristic bands of the pollutant, analyzing the correlation trend between the spectral intensity and the pollutant concentration, determining the pollution level, sending early warning signals, and automatically adjusting the amount of water treatment chemicals based on the early warning activation status.
Real-time monitoring and rapid intervention of water quality have been achieved, the speed and accuracy of pollutant identification have been improved, the response mechanism has been optimized, the dependence on manpower has been reduced, the treatment efficiency has been improved, the water quality is within a safe range, and environmental pollution has been effectively prevented.
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Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of water conservancy pumping stations, and in particular to a water quality monitoring method and system for a water conservancy pumping station. Background Art
[0002] A hydraulic pumping station is an important facility in water conservancy projects. It is mainly used for functions such as pumping, conveying, draining and raising water levels. Water is transported from low places to high places through mechanical equipment (such as water pumps), or extracted from water bodies and transported to the destination through a pipeline system. Hydraulic pumping stations are widely used in agricultural irrigation, urban water supply, industrial water use, sewage treatment, flood control and drainage and other fields. Hydraulic pumping stations play a key role in water resource regulation and management. By lifting and allocating water flows, they can achieve efficient utilization of resources, ensure water supply safety, prevent and control floods and waterlogging disasters, and meet the needs of agricultural production and the ecological environment.
[0003] Among them, the water quality monitoring method of water conservancy pumping station is a method of real-time monitoring of water quality. Its main purpose is to ensure water quality safety and prevent pollutants from entering the water body through the pumping station system, thereby protecting human health and aquatic ecosystems. By real-time monitoring of chemicals, biological pollution and physical changes in water, it can promptly identify potential water quality problems and take preventive measures, such as adjusting water treatment processes or initiating emergency response procedures, which is crucial to ensuring the safety and efficiency of the water supply system.
[0004] Existing technologies rely on periodic testing and manual input in water quality management, which results in prolonged response time in emergency pollution incidents and makes it difficult to achieve real-time monitoring and rapid intervention. This slow response leads to the spread of pollutants and increases the risk of environmental pollution. In addition, existing technologies are inefficient in data processing and pollutant quantification, and cannot provide accurate pollutant concentration information in a timely manner, affecting the timeliness and effectiveness of pollution prevention and control measures. Summary of the invention
[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a water quality monitoring method and system for a water conservancy pump station.
[0006] In order to achieve the above object, the present invention adopts the following technical scheme: a water quality monitoring method for a water conservancy pump station, comprising the following steps:
[0007] S1: Based on the water inlet of the water conservancy pumping station, the spectral data in the water flow is collected by using a spectral sensor. By analyzing the wavelength intensity distribution of chemical substances in the water, the changes in the spectral curve are recorded, and the pollutant characteristics are matched according to the spectral characteristics. At the same time, the characteristic peak of the pollutant is calculated to obtain a chemical warning signal;
[0008] S2: Based on the chemical warning signal, the spectral curves of known pollutants are compared one by one to identify the difference values in the characteristic bands of pollutants, and the correlation trend between the spectral intensity and the pollutant concentration is analyzed to determine the pollutant concentration range and obtain the pollution level data;
[0009] S3: Based on the pollution level data, the data is compared with the safety threshold of the pump station to determine whether the pollution level of the water body exceeds the standard. If it is determined to exceed the standard, the spectral characteristics and concentration information of the pollutants exceeding the standard are automatically recorded, and an early warning signal is sent to obtain an early warning activation state;
[0010] S4: Based on the warning activation status, the dosage of water treatment chemicals is automatically adjusted at the outlet of the pump station, and the spectral data of the treated water quality is collected and analyzed at the same time, the difference between the spectral curve and the spectral reference value is re-evaluated, the treatment effect of the water quality is determined, and the water quality information status is obtained.
[0011] The present invention is improved in that the step of recording the change of the spectral curve is specifically:
[0012] S111: Based on the water inlet of the water conservancy pumping station, the spectral data in the water flow is collected by using a spectral sensor, and preliminary data formatting is performed to obtain a preliminary spectral data set;
[0013] S112: Quantitative analysis is performed on the preliminary spectral data set using the formula:
[0014] ;
[0015] Calculate the intensity adjustment value for each wavelength point, where Indicates the target wavelength The light intensity under represents the wavelength in the spectral data, , and is the parameter that adjusts the relationship between wavelength and light intensity. Influence of quadratic terms, Affects the first term, is a constant term, is the attenuation factor, which is used to adjust the attenuation rate of light intensity as it changes with wavelength. is an exponential decay term;
[0016] S113: Based on the intensity adjustment value, identify the light intensity mutation point, and record the key changes of the spectrum curve to obtain the spectrum curve change information.
[0017] The present invention is improved in that the step of obtaining the chemical warning signal is specifically as follows:
[0018] S121: based on the change of the spectral curve, extracting the spectral peaks of key chemical substances, reflecting the optical properties of pollutants, and obtaining a characteristic peak data set;
[0019] S122: Compare the characteristic peak data set with the pollutant spectral characteristic data using the formula:
[0020] ;
[0021] Calculate the pollutant matching score and determine whether it exceeds the warning level to obtain a chemical warning signal, where: is the similarity score, is the peak value in the feature peak dataset, is the corresponding peak in the pollutant spectral characteristic data, is the weight coefficient, is the total number of peaks.
[0022] The present invention is improved in that the step of identifying the difference value in the characteristic band of pollutants is specifically as follows:
[0023] S211: Based on the chemical warning signal, use a spectrometer to collect full-band spectral data from environmental samples and compare them with the spectral curves of known pollutants using the formula:
[0024] ;
[0025] Calculate the differential spectral intensity and identify the characteristic bands of pollutants, where: Indicates the target wavelength The spectral intensity difference under is at wavelength The spectral intensity monitored at is the wavelength The standard spectral intensity at ;
[0026] S212: Analyze the pollutant characteristic band, identify the difference value therein, and obtain the difference value in the characteristic band.
[0027] The present invention is improved in that the steps of obtaining the pollution level data are specifically as follows:
[0028] S221: Analyze the correlation trend between the spectral intensity and the pollutant concentration based on the difference value in the characteristic band, calculate the predicted concentration of the pollutant, and obtain the estimated value of the pollutant concentration;
[0029] S222: Based on the estimated pollutant concentration, the formula is:
[0030] ;
[0031] Determine the pollutant concentration range and compare it with the pollution level standard to obtain the pollution level data, where: represents the pollutant concentration, is the constant term in the regression analysis, is the scaling factor, Indicated in The spectral intensity of the characteristic band, is the weight factor of multiple characteristic bands, is the total number of characteristic bands.
[0032] The present invention is improved in that the step of obtaining the warning activation state is specifically as follows:
[0033] S311: Based on the pollution level data, compare it with the safety threshold of the pump station to determine whether the pollution level of the water body exceeds the standard, and obtain a preliminary comparison result;
[0034] S312: If the preliminary comparison result exceeds the standard, the early warning process is automatically triggered, using the formula:
[0035] ;
[0036] Get early warning confirmation information, among which, A quantitative value indicating the warning status, is the pollution level, is the adjustment factor used to amplify or reduce the pollution level Impact on the warning status, is a constant term used to adjust the early warning trigger baseline;
[0037] S313: Based on the warning determination information, the spectral characteristics and concentration information of the pollutants exceeding the standard are automatically recorded, and a warning signal is sent to obtain a warning activation state.
[0038] The present invention is improved in that the analysis steps of the processed water quality spectrum data are specifically as follows:
[0039] S411: Based on the warning activation state, according to the current water quality conditions, automatically adjust the amount of water treatment chemical agent added at the pump station outlet to obtain adjusted chemical agent addition information;
[0040] S412: Based on the adjusted chemical agent injection information, a spectral sensor is used to collect spectral data of the processed water body, and the spectral data is compared, decomposed, and pollutant components are identified to obtain a water quality spectral data analysis result.
[0041] The present invention is improved in that the step of obtaining the water quality information status is specifically as follows:
[0042] S421: Based on the processed water quality spectrum data, re-evaluate the difference between the spectrum curve and the spectrum reference value, using the formula:
[0043] ;
[0044] Calculate the total difference , and obtain the difference analysis results, where represents the processed water quality spectral data, represents the corresponding spectral reference value, Represents the wavelength in spectral data;
[0045] S422: Evaluate the water quality treatment effect according to the difference analysis result. If the total difference value is less than the standard threshold, the water quality meets the standard. Otherwise, it is marked as the water quality does not meet the standard and the water quality information status is obtained.
[0046] A water quality monitoring system for a hydraulic pump station, the system comprising:
[0047] The pollutant identification module, based on the water inlet of the water conservancy pumping station, collects spectral data in the water flow, analyzes the wavelength intensity distribution of chemical substances in the water, records the changes in the spectral curve, and matches the pollutant characteristics based on the spectral characteristics. At the same time, it calculates the peak value of the pollutant characteristics and obtains chemical warning signals;
[0048] A pollution level assessment module compares the chemical warning signal with the spectral curves of known pollutants one by one, identifies the difference values in the characteristic bands of pollutants, and analyzes the correlation trend between the spectral intensity and the pollutant concentration to obtain pollution level data;
[0049] The over-standard warning module compares the pollution level data with the pump station safety threshold to determine whether the pollution level of the water body exceeds the standard. If it is determined to be exceeded, the spectral characteristics and concentration information of the pollutants exceeding the standard are automatically recorded, and a warning signal is sent to obtain a warning activation state;
[0050] The water quality adjustment monitoring module automatically adjusts the dosage of water treatment chemicals at the outlet of the pump station based on the early warning activation status, re-evaluates the difference between the spectral curve and the spectral reference value, determines the treatment effect of the water quality, and obtains the water quality information status.
[0051] Compared with the prior art, the advantages and positive effects of the present invention are:
[0052] In the present invention, a spectral sensor is used to collect spectral data in the water flow in real time at the water inlet of the water conservancy pumping station. Through the analysis of spectral characteristics, the chemical substances in the water can be identified in real time and accurately, which improves the identification speed and accuracy of pollutants and realizes continuous monitoring and automatic data analysis. It not only improves the immediacy of pollutant monitoring, but also increases the ability to identify the type of pollutants. In the process of water pollution level assessment, the amount of water treatment chemicals can be automatically adjusted, the response mechanism is optimized, the dependence on manpower is reduced, and the treatment efficiency is improved, thereby ensuring that the water quality is within a safe range and effectively preventing environmental pollution. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] Figure 1 The present invention proposes a flow chart of a water quality monitoring method for a hydraulic pumping station. DETAILED DESCRIPTION
[0054] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.
[0055] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.
[0056] Example: See Figure 1 The present invention provides a technical solution: a water quality monitoring method for a water conservancy pump station, comprising the following steps:
[0057] S1: Based on the water inlet of the water conservancy pumping station, the spectral data in the water flow is collected by using a spectral sensor. By analyzing the wavelength intensity distribution of chemical substances in the water, the changes in the spectral curve are recorded, and the pollutant characteristics are matched according to the spectral characteristics. At the same time, the characteristic peak of the pollutant is calculated to obtain a chemical warning signal;
[0058] S2: Based on the chemical warning signal, the spectral curves of known pollutants are compared one by one to identify the difference values in the characteristic bands of pollutants, and the correlation trend between the spectral intensity and the pollutant concentration is analyzed to determine the pollutant concentration range and obtain the pollution level data;
[0059] S3: Based on the pollution level data, it is compared with the safety threshold of the pumping station to determine whether the pollution level of the water body exceeds the standard. If it is determined to exceed the standard, the spectral characteristics and concentration information of the pollutants exceeding the standard are automatically recorded, and an early warning signal is sent to obtain the early warning activation state;
[0060] S4: Based on the early warning activation status, the dosage of water treatment chemicals is automatically adjusted at the outlet of the pump station. At the same time, the spectral data of the treated water quality is collected and analyzed, the difference between the spectral curve and the spectral reference value is re-evaluated, the treatment effect of the water quality is determined, and the water quality information status is obtained.
[0061] Chemical warning signals include pollutant identification accuracy, characteristic wavelength set, and warning level. Pollution level data include pollution level classification, concentration estimation value, and risk assessment coefficient. Warning activation status includes alarm initiation time, alarm response level, and affected area. Water quality information status includes post-processing spectral differences, water quality safety rating results, and chemical treatment effects.
[0062] The specific steps for recording the changes in the spectral curve are:
[0063] S111: Based on the water inlet of the water conservancy pumping station, the spectral data in the water flow is collected by using a spectral sensor, and preliminary data formatting is performed to obtain a preliminary spectral data set;
[0064] The spectral data of the water flow passing through the water inlet is collected through real-time sampling. This process extracts spectral signals of different wavelength ranges in the water flow at a fixed frequency per second, converts the spectral signals into electrical signals, and completes the calibration and correction of the signal amplitude and frequency. Subsequently, the invalid signals in the original spectral data are eliminated, and the high-frequency interference signals are further eliminated through noise filtering methods while retaining the valid spectral signals. Finally, the data are classified and stored according to the characteristics of different wavelengths to generate a preliminary spectral data set containing wavelengths and corresponding light intensity values.
[0065] S112: Quantitative analysis of the preliminary spectral data set was performed using the formula:
[0066] ;
[0067] Calculate the intensity adjustment value for each wavelength point, where Indicates the target wavelength The light intensity under Represents the wavelength in spectral data and is a variable used to calculate the light intensity at different wavelengths. , and is the parameter that adjusts the relationship between wavelength and light intensity. Influence of quadratic terms, Affects the first term, is a constant term, is the attenuation factor, which is used to adjust the attenuation rate of light intensity as it changes with wavelength. is an exponential decay term, and Adjusting the wavelength increases the rate at which light intensity decreases;
[0068] By traversing the wavelength and light intensity in the preliminary spectral data point by point, the light intensity value of each wavelength point is extracted, and the light intensity value is standardized and adjusted in combination with the relevant calibration parameters. The adjustment calculation includes the offset calibration of the light intensity value and the range constraint processing. Then, the light intensity value of each wavelength point is subjected to nonlinear fitting operation through the function model, and the intensity adjustment value corresponding to each wavelength point is calculated and normalized to obtain the wavelength-intensity adjustment data set for subsequent analysis. In actual monitoring, the measured wavelength From 400nm to 700nm, take nm is taken as a typical point for calculation, and the parameters are , , , , substituting the parameter values into the formula we get:
[0069] ;
[0070] ;
[0071] ;
[0072] The results show that the light intensity at 500nm wavelength is very high, indicating that a specific chemical substance absorbs light at this wavelength. Based on the intensity of this feature, the chemical substance can be further identified or its concentration can be estimated.
[0073] S113: Based on the intensity adjustment value, identify the light intensity mutation point, and record the key changes of the spectrum curve to obtain the spectrum curve change information;
[0074] By traversing the adjusted wavelength-intensity data, setting small increments of the wavelength span, calculating the difference in light intensity changes between consecutive wavelength points, performing threshold judgment on the change difference, identifying the location of the light intensity mutation point, and further extracting the slope and inflection point parameters of the spectral curve near the mutation point, using parameters to mark important change features in the spectral curve, and summarizing the distribution of key wavelengths in each spectral curve through classification analysis, the spectral curve change information containing wavelength characteristic data and change information is generated.
[0075] The specific steps for obtaining chemical warning signals are:
[0076] S121: Based on the changes in the spectral curve, the spectral peaks of key chemicals are extracted to reflect the optical properties of pollutants and obtain characteristic peak data sets;
[0077] By extracting the spectral peaks of key chemicals, the collected spectral data is first standardized, and the low-amplitude noise in the signal is removed using data screening technology. Each spectral curve is segmented and analyzed, the maximum value in each segment is calculated and the corresponding wavelength position is recorded. By setting a specific intensity threshold, high-intensity spectral peaks are screened out. The peaks represent the optical properties of specific chemicals present in the water flow. Subsequently, all detected peaks are sorted and their distribution characteristics are analyzed, and the results are saved as a structured characteristic peak data set to reflect the optical properties of pollutants.
[0078] S122: Compare the characteristic peak data set with the pollutant spectral characteristic data using the formula:
[0079] ;
[0080] Calculate the pollutant matching score and determine whether it exceeds the warning level to obtain a chemical warning signal, where: is a similarity score that measures the matching degree between the characteristic peak dataset and the pollutant signature. It is the peak value in the characteristic peak data set, representing the measured data, which is the data point directly measured by the spectral sensor. is the corresponding peak in the pollutant spectral characteristic data, representing the characteristic data of the known pollutant. is the weight coefficient, which is used to weight the importance of each corresponding peak. is the total number of peaks;
[0081] By calling the preset pollutant spectral feature data, the characteristic spectral data of each pollutant is extracted item by item, the peaks in the characteristic peak data set are numerically compared with the corresponding peaks in the data one by one, the deviation percentage between the two is calculated, and the matching score is generated by weighted accumulation. By analyzing the correlation between the matching score and the warning level, it is determined whether there is a match with the pollutants in the spectral feature library. If the matching score exceeds the set threshold, a chemical warning signal is generated, which indicates that specific pollutants are suspected to exist in the water body. There are 3 peaks involved in the calculation, among which , , weight coefficient , the calculation process is:
[0082] ;
[0083] ;
[0084] ;
[0085] ;
[0086] ;
[0087] The results show that the obtained SD value is relatively low, indicating that the measured spectrum has a good match with the pollutant characteristics in the data, which means that the chemical pollutants in the water can be identified more accurately and the result can be used to issue chemical warning signals.
[0088] The steps to identify the difference values in the pollutant characteristic bands are as follows:
[0089] S211: Based on chemical warning signals, use a spectrometer to collect full-band spectral data from environmental samples and compare them with the spectral curves of known pollutants using the formula:
[0090] ;
[0091] Calculate the differential spectral intensity and identify the characteristic bands of pollutants, where: Indicates the target wavelength The spectral intensity difference under is at wavelength The spectral intensity monitored at is the wavelength The standard spectral intensity at ;
[0092] Determine the calibration parameters of the spectrometer to ensure that the sensitivity of the instrument meets the experimental requirements. Then sample the environmental samples and obtain the full-band spectral data of the samples through the spectrometer, including the digital conversion and denoising of the collected spectral data, remove the random noise in the signal to ensure the accuracy of the data, and then normalize the spectral data to ensure that all spectral intensity data are in the same order of magnitude. Finally, compare the processed full-band spectral data with the standard spectral curve of known pollutants point by point. By directly calculating the differential spectral intensity method, detect the deviation value at each wavelength, and record the differential result as the input for subsequent analysis. nm, the spectral intensity of the standard pollutant is known , the actual observed spectral intensity , then the calculation of the differential spectral intensity is:
[0093] ;
[0094] The results show that the spectral intensity at 550nm is higher than the standard intensity, indicating the presence of specific chemical pollutants at this wavelength, thus verifying the presence of pollutants and revealing their concentration levels.
[0095] S212: Analyze the characteristic bands of pollutants, identify the difference values therein, and obtain the difference values in the characteristic bands;
[0096] The characteristic bands of pollutants are analyzed. The previously recorded characteristic band difference values are taken as input, and the spectral intensity differences of each band are calculated and compared point by point. The band data below the judgment threshold are eliminated to ensure that the retained bands have high statistical significance. At the same time, outlier detection is performed on the data points with large difference values in each band, and the disturbed spectral intensity values are eliminated. In this way, the remaining significant band difference values are further organized into the characteristic spectral parameter set of pollutants. Finally, all significant difference values in the characteristic bands of pollutants are identified to obtain the characteristic band difference data.
[0097] The specific steps for obtaining pollution level data are as follows:
[0098] S221: Based on the difference value in the characteristic band, analyzing the correlation trend between the spectral intensity and the pollutant concentration, calculating the predicted concentration of the pollutant, and obtaining the estimated value of the pollutant concentration;
[0099] The spectral intensity data of different bands are extracted through spectral analysis equipment, the extracted spectral data are classified by band, and the bands with obvious difference values are marked. Then, according to the difference bands, the regression method is used to analyze the correlation trend between spectral intensity and pollutant concentration. The reference database of known pollutants is selected, and the corresponding relationship between the intensity of each characteristic band and the pollutant concentration is compared one by one. In the process, it is necessary to clean up outliers and normalize all band data to ensure calculation accuracy. By constructing a linear fitting model to fit the correlation curve between spectral intensity and pollutant concentration, the predicted concentration of pollutants is finally calculated to generate an estimated value of pollutant concentration.
[0100] S222: Based on the estimated pollutant concentration, use the formula:
[0101] ;
[0102] Determine the pollutant concentration range and compare it with the pollution level standard to obtain the pollution level data, where: Represents the pollutant concentration, which is used to represent the estimated pollutant concentration under given spectral data. is the constant term in the regression analysis, used to adjust the baseline pollution concentration, is a scaling factor that adjusts how spectral intensity affects the influence of pollutant concentration, Indicated in The spectral intensity of a characteristic band is obtained directly from the spectrometer and represents the spectral intensity observed at a specific wavelength. is the weight factor of multiple characteristic bands, reflecting the importance of each band in the overall pollutant concentration estimation. is the total number of characteristic bands;
[0103] Call the pollutant concentration threshold standard, extract the concentration range threshold of the relevant pollutants, divide the estimated pollutant concentration into ranges, combine the different pollution level definitions listed in the standard, build a mapping table between concentration ranges and pollution levels, then compare the estimated pollutant concentration with each level threshold level by level, record the concentration range and determine the corresponding pollution level, and finally integrate the level information of each characteristic pollutant to output the pollution level data. There are 3 characteristic bands, spectral intensity , weight factor , constant term , scaling factor , then the pollutant concentration is calculated as:
[0104] ;
[0105] ;
[0106] ;
[0107] ;
[0108] ;
[0109] The results show that given the spectral data, the estimated pollutant concentration is 154.8, indicating that the pollution level is high and further measures are needed to reduce environmental risks. This helps to understand the specific concentration of pollutants and thus develop more effective pollution control strategies.
[0110] The specific steps for obtaining the warning activation status are as follows:
[0111] S311: Based on the pollution level data, compare it with the safety threshold of the pumping station to determine whether the pollution level of the water body exceeds the standard and obtain a preliminary comparison result;
[0112] Collect the concentration information of pollutants in the water body and generate pollution level data. The data is obtained from the water body through spectral analysis equipment and preliminarily cleaned to ensure that invalid noise data and background interference signals are filtered out. The processed data is matched with the safety threshold of the pumping station one by one. The safety threshold is determined based on the different functional areas of the water body and the corresponding pollutant emission standards. By gradually calculating whether the pollutant concentration exceeds the corresponding threshold, it is judged whether the pollution level of the water body reaches the exceeding standard condition. If the comparison result of the pollution level and the threshold shows that it exceeds the standard, it will be recorded in the preliminary comparison result.
[0113] S312: If the preliminary comparison result exceeds the standard, the early warning process is automatically triggered, using the formula:
[0114] ;
[0115] Get early warning confirmation information, among which, A quantitative value indicating the warning status. The value determines whether the warning signal is triggered. Is the pollution level, indicating whether the concentration level of pollutants in the current environment exceeds the safety threshold. is the adjustment factor used to amplify or reduce the pollution level Impact on the warning status, is a constant term used to adjust the early warning trigger baseline;
[0116] Current pollution levels is 5, adjustment factor is 0.8, the constant term If it is 2, the warning state The calculation process is as follows:
[0117] ;
[0118] ;
[0119] ;
[0120] If the warning trigger threshold is 5, and the calculated warning status value is 6, then this value exceeds the system preset warning trigger threshold, so the warning is triggered. and The value of can effectively control the sensitivity and response threshold of the warning.
[0121] S313: Based on the warning determination information, the spectral characteristics and concentration information of the pollutants exceeding the standard are automatically recorded, and a warning signal is sent to obtain a warning activation state.
[0122] The characteristic spectral information of pollutants exceeding the standard is collected through recording equipment, and the characteristic spectral information is extracted from the polluted water body through real-time sampling equipment. During the extraction process, the sampling frequency and spectral range are adjusted according to the specific type of pollutant, and the corresponding concentration information is recorded at the same time. The concentration information is calculated by comparing the spectral intensity with the pollutant concentration standard curve. The recorded data is then formatted, including marking the type of pollutant, spectral peak and corresponding concentration value of the exceeding standard information. Finally, the processed warning information is sent, and the relevant departments are notified to monitor the exceeding standard pollution incidents in real time to obtain the warning activation status.
[0123] The analysis steps of the processed water quality spectral data are as follows:
[0124] S411: Based on the early warning activation state and according to the current water quality conditions, the amount of water treatment chemical agent added at the pump station outlet is automatically adjusted to obtain adjusted chemical agent addition information;
[0125] Dynamic adjustments are made based on water quality conditions. By analyzing real-time monitoring data of pollutants and preset safety thresholds, the current demand for chemical dosage is calculated, and then the specific chemical dosage is set based on the calculation results. The accuracy of the dosage is ensured by adjusting the injection frequency and dosage ratio. The automated adjustment process is carried out by sensors that detect the chemical injection rate in real time and provide feedback. The dosage parameters are then corrected in real time based on the feedback information, and ultimately the adjusted chemical dosage information is generated, providing a basis for subsequent water treatment operations.
[0126] S412: Based on the adjusted chemical agent release information, the spectral data of the treated water body is collected by using a spectral sensor, and the spectral data is compared, decomposed, and the pollutant components are identified to obtain a water quality spectral data analysis result;
[0127] Spectral sensors are used to collect spectral data of water bodies at the outlet of the pumping station in real time. The full-band spectrum of the treated water quality is captured by the sensor. The sensor identifies the intensity signals of different wavelengths according to the changes in water quality to form a band spectral data set. The spectral data is then processed, including comparing the difference between the treated water quality spectrum and the standard spectrum, decomposing the specific pollutant characteristics in the band spectrum, and identifying the spectral peak intensity of key pollutant components. The spectral data is normalized to facilitate standardized analysis of the results, and finally the water quality spectral data analysis results are obtained.
[0128] The specific steps for obtaining water quality information status are as follows:
[0129] S421: Based on the processed water quality spectrum data, re-evaluate the difference between the spectrum curve and the spectrum reference value, using the formula:
[0130] ;
[0131] Calculate the total difference , and obtain the difference analysis results, where represents the processed water quality spectral data, represents the corresponding spectral reference value, Represents the wavelength in spectral data;
[0132] The highly sensitive spectral sensor installed at the outlet of the pump station is called to collect real-time spectral data of the water sample. The data is converted into a digital signal through photoelectric conversion. According to the light intensity value of each wavelength in the spectral data output by the sensor, the morphological differences of the spectral curves before and after processing are compared one by one, and compared with the baseline value of the reference spectral curve. The spectral intensity of different wavelengths is standardized by the normalization method. Then, the difference between the treated water quality spectrum and the reference value is evaluated by calculating the absolute difference between each wavelength. Finally, the difference values are superimposed to obtain the total difference value. There are three specific wavelengths. The spectral data are and , the calculation process is as follows:
[0133] ;
[0134] ;
[0135] ;
[0136] The results show that the total difference value of 25 can be used to evaluate the degree of deviation from the standard after the water quality is improved, and then determine whether the water quality meets the standard.
[0137] S422: Evaluate the water quality treatment effect according to the difference analysis result. If the total difference value is less than the standard threshold, the water quality meets the standard. Otherwise, it is marked as the water quality does not meet the standard, and the water quality information status is obtained.
[0138] By comparing the total difference value with the preset safety standard threshold one by one, it is evaluated whether the difference value is less than the preset threshold. If the difference value is lower than the threshold, the water quality is marked as met and the compliance status is transmitted to the water quality management database. If the difference value is higher than the threshold, the water quality is automatically marked as not meeting the standard and the specific reasons for not meeting the standard are recorded. At the same time, detailed information related to the water quality deviation is generated, including deviation band, deviation amplitude and other data, so as to obtain the final water quality information status.
[0139] A water quality monitoring system for a water conservancy pump station, the system comprising:
[0140] The pollutant identification module, based on the water inlet of the water conservancy pumping station, collects spectral data in the water flow, analyzes the wavelength intensity distribution of chemical substances in the water, records the changes in the spectral curve, and matches the pollutant characteristics based on the spectral characteristics. At the same time, it calculates the peak value of the pollutant characteristics and obtains chemical warning signals;
[0141] The pollution level assessment module compares the chemical warning signals with the spectral curves of known pollutants one by one, identifies the difference values in the characteristic bands of pollutants, and analyzes the correlation trend between spectral intensity and pollutant concentration to obtain pollution level data;
[0142] The over-standard warning module compares the pollution level data with the pump station safety threshold to determine whether the pollution level of the water body exceeds the standard. If it is determined to be exceeded, the spectral characteristics and concentration information of the pollutants exceeding the standard will be automatically recorded, and a warning signal will be sent to obtain the warning activation status;
[0143] The water quality adjustment monitoring module automatically adjusts the dosage of water treatment chemicals at the outlet of the pump station based on the early warning activation status, re-evaluates the difference between the spectral curve and the spectral reference value, determines the water quality treatment effect, and obtains the water quality information status.
[0144] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.
Claims
1. A water quality monitoring method for a water conservancy pumping station, characterized in that: The following steps are involved: S1: Based on the water inlet of the water conservancy pumping station, the spectral data in the water flow is collected by using a spectral sensor. By analyzing the wavelength intensity distribution of chemical substances in the water, the changes in the spectral curve are recorded, and the pollutant characteristics are matched according to the spectral characteristics. At the same time, the characteristic peak of the pollutant is calculated to obtain a chemical warning signal; S2: Based on the chemical warning signal, the spectral curves of known pollutants are compared one by one to identify the difference values in the characteristic bands of pollutants, and the correlation trend between the spectral intensity and the pollutant concentration is analyzed to determine the pollutant concentration range and obtain the pollution level data; S3: Based on the pollution level data, the data is compared with the safety threshold of the pump station to determine whether the pollution level of the water body exceeds the standard. If it is determined to exceed the standard, the spectral characteristics and concentration information of the pollutants exceeding the standard are automatically recorded, and an early warning signal is sent to obtain an early warning activation state; S4: Based on the warning activation status, the dosage of water treatment chemicals is automatically adjusted at the outlet of the pump station, and the spectral data of the treated water quality is collected and analyzed at the same time, the difference between the spectral curve and the spectral reference value is re-evaluated, the treatment effect of the water quality is determined, and the water quality information status is obtained.
2. The water quality monitoring method of a hydraulic pumping station according to claim 1, characterized in that: The steps of recording the change of the spectrum curve are specifically as follows: S111: Based on the water inlet of the water conservancy pumping station, the spectral data in the water flow is collected by using a spectral sensor, and preliminary data formatting is performed to obtain a preliminary spectral data set; S112: Quantitative analysis is performed on the preliminary spectral data set using the formula: ; Calculate the intensity adjustment value for each wavelength point, where Indicates the target wavelength The light intensity under represents the wavelength in the spectral data, , and is the parameter that adjusts the relationship between wavelength and light intensity. Influence of quadratic terms, Affects the first term, is a constant term, is the attenuation factor, which is used to adjust the attenuation rate of light intensity as it changes with wavelength. is an exponential decay term; S113: Based on the intensity adjustment value, identify the light intensity mutation point, and record the key changes of the spectrum curve to obtain the spectrum curve change information.
3. The water quality monitoring method of a hydraulic pumping station according to claim 1, characterized in that: The steps of obtaining the chemical warning signal are specifically as follows: S121: based on the change of the spectral curve, extracting the spectral peaks of key chemical substances, reflecting the optical properties of pollutants, and obtaining a characteristic peak data set; S122: Compare the characteristic peak data set with the pollutant spectral characteristic data using the formula: ; Calculate the pollutant matching score and determine whether it exceeds the warning level to obtain a chemical warning signal, where: is the similarity score, is the peak value in the feature peak dataset, is the corresponding peak in the pollutant spectral characteristic data, is the weight coefficient, is the total number of peaks.
4. The water quality monitoring method of a hydraulic pumping station according to claim 1, characterized in that: The step of identifying the difference value in the pollutant characteristic band is specifically as follows: S211: Based on the chemical warning signal, use a spectrometer to collect full-band spectral data from environmental samples and compare them with the spectral curves of known pollutants using the formula: ; Calculate the differential spectral intensity and identify the characteristic bands of pollutants, where: Indicates the target wavelength The spectral intensity difference under is at wavelength The spectral intensity monitored at is the wavelength The standard spectral intensity at ; S212: Analyze the pollutant characteristic band, identify the difference value therein, and obtain the difference value in the characteristic band.
5. The water quality monitoring method of a hydraulic pumping station according to claim 1, characterized in that: The steps for obtaining the pollution level data are specifically as follows: S221: Analyze the correlation trend between the spectral intensity and the pollutant concentration based on the difference value in the characteristic band, calculate the predicted concentration of the pollutant, and obtain the estimated value of the pollutant concentration; S222: Based on the estimated pollutant concentration, the formula is: ; Determine the pollutant concentration range and compare it with the pollution level standard to obtain the pollution level data, where: represents the pollutant concentration, is the constant term in the regression analysis, is the scaling factor, Indicated in The spectral intensity of the characteristic band, is the weight factor of multiple characteristic bands, is the total number of characteristic bands.
6. The water quality monitoring method of a hydraulic pumping station according to claim 1, characterized in that: The steps for obtaining the warning activation status are specifically as follows: S311: Based on the pollution level data, compare it with the safety threshold of the pump station to determine whether the pollution level of the water body exceeds the standard, and obtain a preliminary comparison result; S312: If the preliminary comparison result exceeds the standard, the early warning process is automatically triggered, using the formula: ; Get early warning confirmation information, among which, A quantitative value indicating the warning status, is the pollution level, is the adjustment factor used to amplify or reduce the pollution level Impact on the warning status, is a constant term used to adjust the early warning trigger baseline; S313: Based on the warning determination information, the spectral characteristics and concentration information of the pollutants exceeding the standard are automatically recorded, and a warning signal is sent to obtain a warning activation state.
7. The water quality monitoring method of a hydraulic pumping station according to claim 1, characterized in that: The analysis steps of the processed water quality spectrum data are specifically as follows: S411: Based on the warning activation state, according to the current water quality conditions, automatically adjust the amount of water treatment chemical agent added at the pump station outlet to obtain adjusted chemical agent addition information; S412: Based on the adjusted chemical agent injection information, a spectral sensor is used to collect spectral data of the processed water body, and the spectral data is compared, decomposed, and pollutant components are identified to obtain a water quality spectral data analysis result.
8. The water quality monitoring method of a hydraulic pumping station according to claim 1, characterized in that: The steps for obtaining the water quality information status are specifically as follows: S421: Based on the processed water quality spectrum data, re-evaluate the difference between the spectrum curve and the spectrum reference value, using the formula: ; Calculate the total difference , and obtain the difference analysis results, among which, represents the processed water quality spectrum data, represents the corresponding spectral reference value, Represents the wavelength in spectral data; S422: Evaluate the water quality treatment effect according to the difference analysis result. If the total difference value is less than the standard threshold, the water quality meets the standard. Otherwise, it is marked as not meeting the standard and the water quality information status is obtained.
9. A water quality monitoring system for a water conservancy pumping station, characterized in that: According to the method for monitoring water quality of a hydraulic pumping station according to any one of claims 1 to 8, the system comprises: The pollutant identification module, based on the water inlet of the water conservancy pumping station, collects spectral data in the water flow, analyzes the wavelength intensity distribution of chemical substances in the water, records the changes in the spectral curve, and matches the pollutant characteristics based on the spectral characteristics. At the same time, it calculates the peak value of the pollutant characteristics and obtains chemical warning signals; The pollution level assessment module compares the chemical warning signal with the spectral curves of known pollutants one by one, identifies the difference values in the characteristic bands of pollutants, and analyzes the correlation trend between the spectral intensity and the pollutant concentration to obtain the pollution level data; The over-standard warning module compares the pollution level data with the pump station safety threshold to determine whether the pollution level of the water body exceeds the standard. If it is determined to be exceeded, the spectral characteristics and concentration information of the pollutants exceeding the standard are automatically recorded, and a warning signal is sent to obtain a warning activation state; The water quality adjustment monitoring module automatically adjusts the dosage of water treatment chemicals at the outlet of the pump station based on the early warning activation status, re-evaluates the difference between the spectral curve and the spectral reference value, determines the treatment effect of the water quality, and obtains the water quality information status.
Citation Information
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