Remote multi-parameter water quality detection system and water quality detection method

Abstract

The invention relates to the technical field of water quality detection, and discloses a remote multi-parameter water quality detection system and a water quality detection method. According to the remote multi-parameter water quality detection system and the water quality detection method, multiple water quality parameters including temperature, pH value, turbidity, ammonia nitrogen, nitrate and the like are acquired in real time, and data filtering and amplification are performed through the cloud server, so that the accuracy and the reliability of data are ensured, and the accuracy and the reliability of the data are improved. The water quality data analysis module further calculates key indexes such as eutrophication degree, nutrition state and pollutant concentration of the water body, so that comprehensive monitoring and evaluation of the water quality are realized, and a finally generated water quality detection report is visually displayed through an electronic screen, so that a user can quickly obtain water quality information, and the user experience is improved. By implementing the system, the precision, comprehensiveness and real-time performance of water quality detection are remarkably improved, and the defects of the traditional technology in water quality monitoring are effectively overcome.

Description

Technical Field

[0001] The present invention relates to the technical field of water quality detection, and in particular to a remote multi-parameter water quality detection system and a water quality detection method. Background Art

[0002] With the continuous increase of global population and the acceleration of industrialization, the pollution problem of water resources is becoming more and more serious. The deterioration of water quality not only threatens the balance of the ecological environment, but also directly affects human health and quality of life. Therefore, regular water quality testing is particularly important. Water quality testing can timely identify pollutants in water bodies and assess the health of water bodies, thereby providing a scientific basis for governments and relevant agencies to formulate corresponding water pollution prevention and control measures. In addition, real-time monitoring of water quality changes can help to quickly respond to sudden water pollution incidents and ensure people’s drinking water safety and the sustainable development of the ecological environment.

[0003] Although traditional on-site water quality testing methods can provide faster results, their detection accuracy and parameter types are often limited and cannot fully reflect the true condition of the water body. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a remote multi-parameter water quality detection system and a water quality detection method. By real-time collection of multiple water quality parameters, including temperature, pH value, turbidity, ammonia nitrogen and nitrate, etc., and filtering and amplifying the data through a cloud server, the accuracy and reliability of the data are ensured. The water quality data analysis module further calculates key indicators such as the eutrophication degree, nutritional status and pollutant concentration of the water body, thereby realizing comprehensive monitoring and evaluation of water quality. The final generated water quality detection report is intuitively displayed on an electronic screen, which is convenient for users to quickly obtain water quality information. The implementation of this system significantly improves the accuracy, comprehensiveness and real-time performance of water quality detection, and effectively solves the shortcomings of traditional technologies in water quality monitoring.

[0006] (II) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solutions: a remote multi-parameter water quality detection system, comprising a water quality data acquisition module, a water quality data preprocessing module, a water quality data analysis module, a water quality detection module and a water quality reporting module;

[0008] The water quality data acquisition module is used to collect water quality data, including water temperature data, water pH value, water turbidity, water ammonia nitrogen, water nitrate, water conductivity, water biological oxygen demand and chemical oxygen demand, and send the collected water quality data to the cloud server;

[0009] The water quality data preprocessing module extracts the water quality data from the cloud server, filters and amplifies it, and then sends it to the water quality data analysis module;

[0010] The water quality data analysis module calculates the eutrophication degree of the water body, the nutrient status of the water body, the saturation degree of dissolved oxygen in the water body, the concentration of pollutants in the water body, the BOD of the water body and the COD of the water body according to the filtered and amplified water quality data, and transmits the calculated values ​​to the water quality detection module;

[0011] The water quality detection module performs a comprehensive analysis on the water quality of the water body according to the calculated values ​​transmitted by the water quality data analysis module, generates a water quality detection report and sends it to the water quality report module;

[0012] The water quality reporting module displays the water quality detection report on the water quality detection electronic screen.

[0013] Preferably, the formula for filtering the water quality data is as follows:

[0014]

[0015] In the formula, y[n] represents the output value of the water quality data after filtering at the current moment n, x[nk] represents the water quality data value input at the current moment n, k represents the counting subscript, and N represents the size of the filtering window.

[0016] Preferably, the formula for amplifying the water quality data is as follows:

[0017] A[n]=K*y[n]

[0018] In the formula, A[n] represents the water quality data value after amplification, y[n] represents the output value of the water quality data after filtering at the current time n, and K represents the amplification factor.

[0019] Preferably, the calculation formula for the degree of eutrophication of water bodies is as follows:

[0020]

[0021] In the formula, TSI stands for nutritional status index. represents the phosphate concentration, and log represents the logarithm with base 10.

[0022] Preferably, the water body nutrient status calculation formula is as follows:

[0023]

[0024] In the formula, N:P ratio represents the nitrogen-phosphorus ratio, which reflects the nutrient status of the water body. is the nitrate concentration, Indicates the concentration of ammonia nitrogen, Indicates the phosphate concentration.

[0025] Preferably, the calculation formula for the saturation degree of dissolved oxygen in the water body is as follows:

[0026]

[0027] In the formula, Satu represents the saturation of dissolved oxygen in water, DO represents the actual dissolved oxygen concentration, which is obtained through water tests. sat It indicates the saturated dissolved oxygen concentration at a specific temperature and pressure.

[0028] Preferably, the water pollutant concentration calculation formula is as follows:

[0029]

[0030] In the formula, CP represents the concentration of water pollutants, V sample Indicates the volume of water sample, C sample Represents the pollutant concentration in the sample measured in the laboratory analysis, V total Indicates the total dilution volume.

[0031] Preferably, the water body BOD calculation formula is as follows:

[0032]

[0033] In the formula, BOD5 represents five-day biochemical oxygen demand, DO i represents the initial dissolved oxygen concentration, DO f It represents the dissolved oxygen concentration after five days, P represents the dilution multiple of the water sample, and V represents the volume of the water sample.

[0034] Preferably, the water body COD calculation formula is as follows:

[0035]

[0036] In the formula, COD stands for chemical oxygen demand. represents the volume of potassium dichromate solution used in the titration, Indicates the concentration of potassium dichromate solution, V sample Indicates the volume of water sample.

[0037] A remote multi-parameter water quality detection method comprises the following steps:

[0038] S1. Collect water quality data samples, including water temperature data, water pH value, water turbidity, water ammonia nitrogen, water nitrate, water conductivity, water biological oxygen demand and water chemical oxygen demand, and send the collected water quality data to the cloud server;

[0039] S2, extracting water quality data from the cloud server for filtering and amplification;

[0040] S3. Calculate the eutrophication degree, nutrient status, dissolved oxygen saturation, pollutant concentration, BOD and COD of water bodies according to the filtered and amplified water quality data;

[0041] S4, comprehensively analyzing the water quality of the water body according to the values ​​calculated in S3, and generating a water quality test report;

[0042] S5. Display the water quality test report on the water quality test electronic screen.

[0043] Compared with the prior art, the present invention provides a remote multi-parameter water quality detection system and a water quality detection method, which have the following beneficial effects:

[0044] The present invention collects a variety of water quality parameters in real time, including temperature, pH value, turbidity, ammonia nitrogen and nitrate, and also filters and amplifies the data through a cloud server to ensure the accuracy and reliability of the data. The water quality data analysis module further calculates key indicators such as the eutrophication degree, nutritional status and pollutant concentration of the water body, thereby realizing comprehensive monitoring and evaluation of water quality. The final generated water quality detection report is intuitively displayed on an electronic screen, which is convenient for users to quickly obtain water quality information. The implementation of this system has significantly improved the accuracy, comprehensiveness and real-time performance of water quality detection, and effectively solved the shortcomings of traditional technologies in water quality monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the system flow of the present invention;

[0046] Figure 2 It is a schematic diagram of the steps of the method of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] Although the traditional on-site water quality detection method can provide faster results, its detection accuracy and parameter types are often limited and cannot fully reflect the true condition of the water body. Therefore, a remote multi-parameter water quality detection system is proposed. Figure 1 ,The system includes a water quality data acquisition module, a water quality data preprocessing module, a water quality data analysis module, a water quality detection module and a water quality reporting module;

[0049] The water quality data acquisition module uses advanced sensor technology and data acquisition systems to monitor and obtain multiple key water quality parameters in real time. These parameters include water temperature, pH value, turbidity, ammonia nitrogen concentration, nitrate concentration, conductivity, biological oxygen demand (BOD) and chemical oxygen demand (COD). Specifically, the module monitors changes in water temperature through precise temperature sensors, uses pH sensors to measure the acidity and alkalinity of water bodies in real time to evaluate water quality changes, and turbidity sensors help determine the concentration of suspended solids in water. The concentrations of ammonia nitrogen and nitrate are monitored by highly sensitive electrochemical sensors to ensure the accuracy and reliability of data. At the same time, the conductivity sensor is used to evaluate the ion concentration in water to reflect the overall health of water quality. In addition, the measurement of biological oxygen demand (BOD) and chemical oxygen demand (COD) uses specific analysis methods, and samples are collected regularly through online monitoring instruments to quickly obtain results. All collected data are initially corrected and processed by built-in data processing algorithms, and uploaded to the cloud server in real time through the secure communication protocol HTTPS for subsequent data storage, analysis and visualization.

[0050] The water quality data preprocessing module is responsible for extracting the stored water quality data from the cloud server and adopts advanced data processing technology to ensure the accuracy and reliability of the data. The module uses API (application programming interface) to connect to the cloud service through efficient interface calls and data extraction algorithms to achieve real-time or scheduled data acquisition. After obtaining the original water quality data, the module applies digital filtering technology and uses a first-order low-pass filter to smooth the data to remove various noises and interference signals, thereby improving the stability and availability of the data. In order to enhance the readability of the signal and facilitate subsequent analysis, the preprocessing module also amplifies the data, specifically using linear amplification. By setting a suitable amplification factor, the required water quality parameters are adjusted to an appropriate level. This process ensures the accuracy of the data in the transmission and analysis stages. Finally, the water quality data after filtering and amplification will be securely sent to the water quality data analysis module through the encrypted transmission protocol SSL / TLS for further detailed statistics and analysis, providing high-quality basic data support for water quality monitoring and evaluation.

[0051] The formula for filtering water quality data is as follows:

[0052]

[0053] Water quality data is often affected by environmental interference (such as fluctuating temperature, strong wind, etc.) and instrument noise. Filtering technology can effectively eliminate these interferences and extract the real water quality signal. The low-pass filtering method can remove high-frequency noise and reduce the volatility of the data. In the formula, y[n] represents the output value of the water quality data after filtering at the current moment n, x[nk] represents the water quality data value input at the current moment n, k represents the count subscript, and N represents the size of the filter window. The data processed by filtering can be more stable, thereby improving the repeatability and reliability of the data, making the subsequent analysis results more convincing;

[0054] The formula for water quality data amplification is as follows:

[0055] A[n]=K*y[n]

[0056] Many water quality testing standards require that specific parameters be monitored within a very low concentration range. Through data amplification, these low-concentration parameters can be adjusted to an interval that is easy to analyze, which helps to accurately assess the water condition. In the formula, A[n] represents the water quality data value output after amplification, y[n] represents the output value of the water quality data after filtering at the current time n, and K represents the amplification factor. The amplification process can enhance subtle changes, making the originally imperceptible water quality changes more significant, especially in the monitoring of low-concentration pollutants or nutrients;

[0057] The water quality data analysis module calculates the eutrophication degree, nutrient status, dissolved oxygen saturation, pollutant concentration, BOD and COD of water bodies based on filtered and amplified water quality data, including:

[0058] The calculation formula of water eutrophication degree is as follows:

[0059]

[0060] Accurate eutrophication assessment helps to formulate reasonable water resources management policies, especially in the management of agricultural and industrial water use and pollution control, and helps to achieve sustainable development. In the formula, TSI represents the trophic status index. It represents the phosphate concentration, and log represents the logarithm with 10 as the base. By calculating the degree of eutrophication, the nutrient status of the water body can be quickly assessed, and measures can be taken in time to deal with possible algae blooms and other problems, thereby protecting the water ecology.

[0061] The formula for calculating the nutrient status of water bodies is as follows:

[0062]

[0063] Through indicators such as nitrogen-phosphorus ratio, it is possible to evaluate whether the nutrient content of water is balanced, thereby judging the ecological health status and potential ecological risks of the water body. In the formula, N:P ratio represents the nitrogen-phosphorus ratio, which reflects the nutrient status of the water body. is the nitrate concentration, Indicates the concentration of ammonia nitrogen, Indicates phosphate concentration and nutrient status analysis, which can provide data support for the control and management of pollution sources and help formulate corresponding improvement plans at different times and locations;

[0064] The formula for calculating the saturation of dissolved oxygen in water is as follows:

[0065]

[0066] Dissolved oxygen is the basis for the survival of aquatic organisms. Calculating dissolved oxygen saturation helps to evaluate whether the water is suitable for biological survival, thereby reflecting the ecological health of the water. In the formula, Satu represents the saturation of dissolved oxygen in the water, and DO represents the actual dissolved oxygen concentration, which is obtained through water tests. sat It indicates the saturated dissolved oxygen concentration at a specific temperature and pressure. If the dissolved oxygen saturation is found to be insufficient, timely measures can be taken, such as increasing oxygen or promoting water flow, to help restore the ecological function of the water body;

[0067] The formula for calculating water pollutant concentration is as follows:

[0068]

[0069] Long-term pollutant monitoring data can help policymakers develop more effective water quality management strategies, control pollution sources, and achieve continuous improvement in water quality. In the formula, CP represents the concentration of water pollutants, V sample Indicates the volume of water sample, C sample Represents the pollutant concentration in the sample measured in the laboratory analysis, V total Indicates the total dilution volume. By regularly monitoring the concentration of pollutants in water bodies, potential pollution sources and pollution incidents can be discovered in a timely manner to avoid further environmental deterioration.

[0070] The calculation formula of water BOD is as follows:

[0071]

[0072] Biological oxygen demand is an important indicator reflecting the level of organic matter pollution in water. By monitoring BOD, the self-purification capacity and pollution degree of water bodies can be evaluated. In the formula, BOD5 represents the five-day biochemical oxygen demand, DO i represents the initial dissolved oxygen concentration, DO fIt represents the dissolved oxygen concentration after five days, P represents the dilution multiple of the water sample, and V represents the volume of the water sample. The change of BOD can reflect the effect of sewage treatment and the progress of water restoration, and is helpful to evaluate the effectiveness of environmental governance measures;

[0073] The calculation formula of water COD is as follows:

[0074]

[0075] Chemical oxygen demand can comprehensively reflect the total amount of organic pollutants in water bodies. Through COD monitoring, we can understand the overall pollution status of water bodies. At the same time, COD is an important indicator for evaluating the effectiveness of sewage treatment and control measures, and can provide feedback data for the implementation of treatment plans. In the formula, COD represents chemical oxygen demand. represents the volume of potassium dichromate solution used in the titration, Indicates the concentration of potassium dichromate solution, V sample Indicates the volume of water sample;

[0076] The water quality detection module is the core component of the remote multi-parameter water quality detection system. Its main function is to conduct a comprehensive water quality analysis based on the calculation results transmitted from the water quality data analysis module. This module receives various calculated values ​​generated by the water quality data analysis module through an efficient communication interface. These values ​​may include dissolved oxygen saturation, nutrient status index (TSI), water pollutant concentration, and specific ammonia nitrogen, nitrate and other water quality parameters.

[0077] After receiving these data, the water quality detection module uses a variety of analytical methods to conduct a comprehensive assessment of the water quality. The module's built-in data processing algorithm will first verify and preprocess the data to ensure that the received data is accurate. This process usually involves logical verification of parameters, time series analysis, and statistical analysis to eliminate possible outliers and noise and ensure the credibility of the analysis results.

[0078] The comprehensive analysis phase uses statistical methods to conduct in-depth analysis of water quality data, using cluster analysis and principal component analysis and other techniques to identify pollution characteristics and change trends of different water bodies, helping to determine whether the water quality meets water quality standards or reaches an unsafe level. In addition, based on the time series analysis method, the module can process and monitor water quality change data, identify short-term and long-term water quality trends and abnormal events, and provide key decision support for water body managers through multivariate statistical analysis and trend prediction;

[0079] After the comprehensive analysis is completed, the water quality detection module generates a detailed water quality detection report, which includes a pyramid-structured summary of water quality parameters, such as the actual measured values ​​of each indicator, the calculated concentration level, and the comparison with the standard value. The comprehensive analysis report is transmitted to the water quality reporting module via the encrypted communication protocol SSL / TLS to ensure the security and integrity of the data;

[0080] The water quality reporting module uses embedded graphical user interface (GUI) technology to extract various water quality parameters and their analysis results. The graphics rendering library integrated inside the module can generate intuitive charts and graphs for water quality related data. By using dynamic real-time data display technology, the water quality detection electronic screen can update water quality parameters in real time to reflect the current water condition. In addition, the module also has information prompts and alarm functions. When the water quality parameters exceed the set threshold, the system will automatically display on the electronic screen with eye-catching color changes and prompt information so that relevant personnel can take timely response measures.

[0081] See also Figure 2 , a remote multi-parameter water quality detection method, comprising the following steps:

[0082] S1. Collect water quality data samples, including water temperature data, water pH value, water turbidity, water ammonia nitrogen, water nitrate, water conductivity, water biological oxygen demand and water chemical oxygen demand, and send the collected water quality data to the cloud server;

[0083] S2, extracting water quality data from the cloud server for filtering and amplification;

[0084] S3. Calculate the eutrophication degree, nutrient status, dissolved oxygen saturation, pollutant concentration, BOD and COD of water bodies according to the filtered and amplified water quality data;

[0085] S4, comprehensively analyzing the water quality of the water body according to the values ​​calculated in S3, and generating a water quality test report;

[0086] S5. Display the water quality test report on the water quality test electronic screen.

[0087] The comprehensive application of the above-mentioned systems and methods has significantly improved the accuracy, comprehensiveness and real-time performance of water quality testing, effectively solving the shortcomings of traditional technologies in water quality monitoring.

[0088] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A remote multi-parameter water quality detection system, characterized in that: It includes water quality data acquisition module, water quality data preprocessing module, water quality data analysis module, water quality detection module and water quality report module; The water quality data acquisition module is used to collect water quality data, including water temperature data, water pH value, water turbidity, water ammonia nitrogen, water nitrate, water conductivity, water biological oxygen demand and chemical oxygen demand, and send the collected water quality data to the cloud server; The water quality data preprocessing module extracts the water quality data from the cloud server, filters and amplifies it, and then sends it to the water quality data analysis module; The water quality data analysis module calculates the eutrophication degree of the water body, the nutrient status of the water body, the saturation degree of dissolved oxygen in the water body, the concentration of pollutants in the water body, the BOD of the water body and the COD of the water body according to the filtered and amplified water quality data, and transmits the calculated values ​​to the water quality detection module; The water quality detection module performs a comprehensive analysis on the water quality of the water body according to the calculated values ​​transmitted by the water quality data analysis module, generates a water quality detection report and sends it to the water quality report module; The water quality reporting module displays the water quality detection report on the water quality detection electronic screen.

2. A remote multi-parameter water quality detection system according to claim 1, characterized in that: The formula for filtering the water quality data is as follows: In the formula, y[n] represents the output value of the water quality data after filtering at the current moment n, x[nk] represents the water quality data value input at the current moment n, k represents the counting subscript, and N represents the size of the filtering window.

3. A remote multi-parameter water quality detection system according to claim 2, characterized in that: The formula for amplifying the water quality data is as follows: A[n]=K*y[n] In the formula, A[n] represents the water quality data value after amplification, y[n] represents the output value of the water quality data after filtering at the current time n, and K represents the amplification factor.

4. A remote multi-parameter water quality detection system according to claim 3, characterized in that: The calculation formula for the degree of eutrophication of water bodies is as follows: In the formula, TSI stands for nutritional status index. represents the phosphate concentration, and log represents the logarithm with base 10.

5. A remote multi-parameter water quality detection system according to claim 4, characterized in that: The water body nutrient status calculation formula is as follows: In the formula, N:P ratio represents the nitrogen-phosphorus ratio, which reflects the nutrient status of the water body. is the nitrate concentration, Indicates the concentration of ammonia nitrogen, Indicates the phosphate concentration.

6. A remote multi-parameter water quality detection system according to claim 5, characterized in that: The calculation formula for the saturation degree of dissolved oxygen in the water body is as follows: In the formula, Satu represents the saturation of dissolved oxygen in water, DO represents the actual dissolved oxygen concentration, which is obtained through water tests. sat It indicates the saturated dissolved oxygen concentration at a specific temperature and pressure.

7. A remote multi-parameter water quality detection system according to claim 6, characterized in that: The calculation formula for the water pollutant concentration is as follows: In the formula, CP represents the concentration of water pollutants, V sample Indicates the volume of water sample, C sample Represents the pollutant concentration in the sample measured in the laboratory analysis, V total Indicates the total dilution volume.

8. A remote multi-parameter water quality detection system according to claim 7, characterized in that: The water body BOD calculation formula is as follows: In the formula, BOD5 represents five-day biochemical oxygen demand, DO i represents the initial dissolved oxygen concentration, DO f It represents the dissolved oxygen concentration after five days, P represents the dilution multiple of the water sample, and V represents the volume of the water sample.

9. A remote multi-parameter water quality detection system according to claim 8, characterized in that: The water body COD calculation formula is as follows: In the formula, COD stands for chemical oxygen demand. represents the volume of potassium dichromate solution used in the titration, Indicates the concentration of potassium dichromate solution, V sample Indicates the volume of water sample.

10. A remote multi-parameter water quality detection method, characterized in that: The following steps are involved: S1. Collect water quality data samples, including water temperature data, water pH value, water turbidity, water ammonia nitrogen, water nitrate, water conductivity, water biological oxygen demand and water chemical oxygen demand, and send the collected water quality data to the cloud server; S2, extracting water quality data from the cloud server for filtering and amplification; S3. Calculate the eutrophication degree, nutrient status, dissolved oxygen saturation, pollutant concentration, BOD and COD of water bodies according to the filtered and amplified water quality data; S4, comprehensively analyzing the water quality of the water body according to the values ​​calculated in S3, and generating a water quality test report; S5. Display the water quality test report on the water quality test electronic screen.

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