High-precision water ion concentration detection system based on Internet of Things

Abstract

The invention discloses a high-precision water ion concentration detection system based on the Internet of Things, and particularly relates to the technical field of the Internet of Things. Comprising a water quality sampling area division module, a water quality ion parameter acquisition module, a water quality ion data preprocessing module, a water quality ion data analysis module, a comprehensive data analysis module, an early warning module and a man-machine interaction module. The water quality ion detection area to be detected is determined through the water quality sampling area division module, the ion concentration of the water quality ion detection area to be detected is collected through the water quality ion parameter acquisition module, and the collected data is processed and analyzed through the water quality ion data preprocessing module and the water quality ion data analysis module. A comprehensive water quality ion evaluation index is calculated through the comprehensive data analysis module, a comprehensive water quality ion abnormal index is established through the early warning module, whether the water quality ion concentration is in a normal range or not is judged, and a water quality ion concentration detection report is generated through the man-machine interaction module.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and more specifically, to a high-precision water quality ion concentration detection system based on Internet of Things. Background Art

[0002] With the rapid development of industrialization and urbanization, water pollution has become a global challenge. Industrial wastewater, domestic sewage and agricultural pollution are continuously discharged into water bodies, causing water deterioration and threatening human health and the ecological environment. With the rapid development of Internet of Things technology, various information sensing devices can be connected to the network through the Internet to achieve intelligent identification, positioning, tracking, monitoring and management of objects, people and people, and objects and networks. The rapid development of this technology provides new solutions for water quality monitoring.

[0003] The traditional water quality ion concentration detection system includes a sampling module, a pretreatment module, a detection and analysis module, a data processing and analysis module, and a display and output module. The sampling module collects water samples from the water body to be tested; the pretreatment module pre-treats the collected water samples to remove impurities, adjust the pH value, etc.; the detection and analysis module measures the concentration of various ions in the water sample; the data obtained by the detection module is received, stored and analyzed by the data processing and analysis module; the display and output module presents the test results to the user in a visual manner, and can be output to a printer, computer or other external device. The traditional water quality ion concentration detection system can realize the accurate measurement of the concentration of various ions in the water, has a real-time monitoring function, and can continuously monitor the changes in water quality. Once the water quality is abnormal, the system can quickly issue an alarm, so that the user can take timely measures to prevent the problem from expanding. This rapid response capability is of great significance for ensuring the safety of drinking water and preventing water pollution incidents.

[0004] However, there are still some shortcomings in its actual use, such as data collection is not accurate enough. The traditional water quality ion concentration detection system does not accurately divide the water quality ion detection area to be tested, and the collected data cannot accurately measure the ion concentration status of the water body; data collection is not comprehensive enough. The traditional water quality ion concentration detection system does not accurately classify and collect the ions in the water body, and cannot evaluate the impact of the concentration of each ion in the water body on the water quality; the feedback is not intuitive enough. The traditional water quality ion concentration detection system does not conduct comprehensive data analysis and processing on the concentration of each ion in the water body, and cannot intuitively feedback the water quality of the water body. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a high-precision water quality ion concentration detection system based on the Internet of Things, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solution: a high-precision water quality ion concentration detection system based on the Internet of Things, comprising:

[0007] Water quality sampling area division module: used to determine the water quality ion detection area to be tested. According to the different geology and water level of the water area to be tested, the water quality ion detection area to be tested has different water quality ion concentrations. The water quality ion detection area to be tested is divided into individual sub-water quality ion detection areas in a manner of equal distance horizontally and equal height vertically. The horizontal markings are 1, 2, ..., i, ..., n, and the vertical markings are 1, 2, ..., j, ..., k;

[0008] Water quality ion parameter acquisition module: used to collect the concentration of each ion in the water quality ion detection area to be tested, including a water quality cation parameter acquisition unit and a water quality anion parameter acquisition unit, and compress and encode the collected data and transmit it to the Internet of Things, and realize wireless communication between the water quality parameter acquisition module and the water quality ion data preprocessing module through the Internet of Things;

[0009] Water quality ion data preprocessing module: used to perform data preprocessing on the water quality cation parameters and water quality anion parameters collected by the water quality ion parameter acquisition module, including a water quality cation parameter preprocessing unit and a water quality anion parameter preprocessing unit, and transmit the processing results to the water quality ion data analysis module;

[0010] Water quality ion data analysis module: used to further analyze and process the data obtained by the water quality ion data preprocessing module, including a water quality cation data analysis unit and a water quality anion data analysis unit, and transmit the processing results to the comprehensive data analysis module;

[0011] Comprehensive data analysis module: used to comprehensively process and analyze the water quality cation impact assessment value and water quality anion impact assessment value obtained by the water quality ion data analysis module, including a comprehensive data analysis unit, and transmit the analysis results to the early warning module;

[0012] Early warning module: used to establish a comprehensive water quality ion abnormality index. By comparing the comprehensive water quality ion evaluation index obtained by the comprehensive data analysis module with the comprehensive water quality ion abnormality index, it is determined whether the water quality ion concentration in the water quality ion detection area to be tested is within the normal range, and the corresponding alarm information is issued, and the judgment result is transmitted to the human-computer interaction module;

[0013] Human-computer interaction module: used to generate water quality ion concentration detection report and notify relevant staff so that they can take appropriate measures to solve the abnormal situation of water quality ions.

[0014] Preferably, the water quality cation parameter collection unit is used to collect hardness ion influencing parameters, scaling ion influencing parameters and conductivity ion influencing parameters, and the hardness ion influencing parameters include calcium ion concentration and magnesium ion concentration, which are marked as C Ca and C Mg ; The scaling ion influencing parameters include barium ion concentration, strontium ion concentration, iron ion concentration and manganese ion concentration, which are marked as C Ba , C Sr , C Fe and C Mn ; The conductivity ion influencing parameters include sodium ion concentration and potassium ion concentration, marked as C Na and C K .

[0015] Preferably, the water quality anion parameter collection unit is used to collect alkalinity ion influencing parameters, corrosive ion influencing parameters and nutrient ion influencing parameters, and the alkalinity ion influencing parameters include bicarbonate ion concentration, carbonate ion concentration and hydroxide ion concentration, which are marked as C HCO3 , C CO3 and C OH ; The corrosive ion influencing parameters include chloride ion concentration and sulfate ion concentration, marked as C Cl and C SO4 ; The parameters affecting nutrient ions include nitrate ion concentration, phosphate ion concentration and nitrite ion concentration, which are marked as C NO3 , C PO4 and C NO2 .

[0016] Preferably, the water quality cation parameter pretreatment unit is used to establish a water quality cation parameter pretreatment model, import the hardness ion influence parameters, scaling ion influence parameters and conductivity ion influence parameters collected by the water quality ion parameter acquisition module into the water quality cation parameter pretreatment model, calculate the hardness ion influence evaluation value, scaling ion influence evaluation value and conductivity ion influence evaluation value, and the hardness ion influence evaluation value is specifically expressed as:

[0017]

[0018] y h Indicates the hardness ion impact assessment value of the water quality ion detection area to be tested, C Caij represents the calcium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Mgij represents the magnesium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, α 1 and α 2They respectively represent the influence coefficients of calcium ion concentration and magnesium ion concentration on the evaluation value of the ions affecting the degree; the evaluation value of the scaling ion impact is specifically expressed as:

[0019]

[0020] y s Indicates the impact assessment value of scaling ions in the water quality ion detection area to be tested, C Baij represents the barium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Srij It represents the strontium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Feij It represents the iron ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Mnij represents the manganese ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, β 1 , β 2 , β 3 and β 4 They respectively represent the influence coefficients of barium ion concentration, strontium ion concentration, iron ion concentration and manganese ion concentration on the evaluation value of scaling ion influence; the conductivity ion influence evaluation value is specifically expressed as:

[0021]

[0022] y e Indicates the conductivity ion impact assessment value of the water quality ion detection area to be tested, C Naij It represents the sodium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Kij represents the potassium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, γ 1 and γ 2 They are respectively expressed as the influence coefficients of sodium ion concentration and potassium ion concentration on the evaluation value of the conductivity ion impact.

[0023] Preferably, the water quality anion parameter pretreatment unit is used to establish a water quality anion parameter pretreatment model, import the alkalinity ion influence parameter, corrosive ion influence parameter and nutrient ion influence parameter collected by the water quality ion parameter module into the water quality anion parameter pretreatment model, calculate the alkalinity ion influence assessment value, corrosive ion influence assessment value and nutrient ion influence assessment value, and the alkalinity ion influence assessment value is specifically expressed as:

[0024]

[0025] y aIndicates the alkalinity ion impact assessment value of the water quality ion detection area to be tested, C HCO3ij represents the bicarbonate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C CO3ij represents the carbonate ion concentration in the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C OHij represents the hydroxide ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, δ 1 ,δ 2 and δ 3 They respectively represent the influence coefficients of bicarbonate ion concentration, carbonate ion concentration and hydroxide ion concentration on the alkalinity ion impact assessment value; the corrosive ion impact assessment value is specifically expressed as:

[0026]

[0027] y c Indicates the corrosive ion impact assessment value of the water quality ion detection area to be tested, C Clij It represents the chloride ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C SO4ij represents the sulfate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal and vertical directions of the water quality ion detection area to be tested, ε 1 and ε 2 They respectively represent the influence coefficients of chloride ion concentration and sulfate ion concentration on the impact assessment value of corrosive ions; the impact assessment value of nutritional ions is specifically expressed as:

[0028]

[0029] y n Indicates the nutritional ion impact assessment value of the water quality ion detection area to be tested, C NO3ij It represents the nitrate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C PO4ij represents the phosphate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C NO2ij represents the nitrite ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, λ 1 , 2 and 3 They respectively represent the influence coefficients of nitrate ion concentration, phosphate ion concentration and nitrite ion concentration on the evaluation value of nutritional ions.

[0030] Preferably, the water quality cation data analysis unit is used to establish a water quality cation data analysis model, import the hardness ion impact assessment value, scaling ion impact assessment value and conductivity ion impact assessment value obtained by the water quality ion data preprocessing module into the water quality cation data analysis model, and calculate the water quality cation impact assessment value, which is specifically expressed as:

[0031]

[0032] y 阳 Indicates the water quality cation impact assessment value of the water quality ion detection area to be tested, y h Indicates the hardness ion impact assessment value of the water quality ion detection area to be tested, y s Indicates the impact assessment value of scaling ions in the water quality ion detection area to be tested, y e Indicates the conductivity ion impact assessment value of the water quality ion detection area to be tested, y h标 Indicates the standard hardness ion impact assessment value of the water quality ion detection area to be tested, μ 1 , μ 2 and μ 3 They respectively represent the influence coefficients of the hardness ion impact assessment value, the scaling ion impact assessment value and the conductivity ion impact assessment value on the water quality cation impact assessment value.

[0033] Preferably, the water quality anion data analysis unit is used to establish a water quality anion data analysis model, import the alkalinity ion impact assessment value, the corrosive ion impact assessment value and the nutrient ion impact assessment value obtained by the water quality ion data preprocessing module into the water quality anion data analysis model, and calculate the water quality anion impact assessment value, which is specifically expressed as:

[0034]

[0035] y 阴 Indicates the water quality anion impact assessment value of the water quality ion detection area to be tested, y a Indicates the alkalinity ion impact assessment value of the water quality ion detection area to be tested, y c Indicates the corrosive ion impact assessment value of the water quality ion detection area to be tested, y n Indicates the nutritional ion impact assessment value of the water quality ion detection area to be tested, y a标 Represents the standard alkalinity ion impact assessment value of the water quality ion detection area to be tested, ρ 1 , 2 and ρ 3 They respectively represent the influence coefficients of the alkalinity ion impact assessment value, the corrosive ion impact assessment value and the nutrient ion impact assessment value on the water quality anion impact assessment value.

[0036] Preferably, the comprehensive data analysis unit is used to establish a comprehensive data analysis model, import the water quality cation impact assessment value and the water quality anion impact assessment value obtained by the water quality ion data analysis module into the comprehensive data analysis model, and calculate the comprehensive water quality ion assessment index, which is specifically expressed as:

[0037]

[0038] η represents the comprehensive water quality ion evaluation index of the water quality ion detection area to be tested, y 阳 Indicates the water quality cation impact assessment value of the water quality ion detection area to be tested, y 阴 Indicates the water quality anion impact assessment value of the water quality ion detection area to be tested, y 阳标 Indicates the standard water quality cation impact assessment value of the water quality ion detection area to be tested, y 阴标 Indicates the standard water quality anion impact assessment value of the water quality ion detection area to be tested.

[0039] Preferably, the comprehensive water quality ion abnormality index is marked as η 标 , when η<η 标 When η>η, it means that the comprehensive water quality ion evaluation index is less than the comprehensive water quality ion abnormality index, indicating that the water quality ion concentration in the water quality ion detection area to be tested is within the normal range; when η>η 标 When , it means that the comprehensive water quality ion evaluation index is greater than the comprehensive water quality ion abnormality index, indicating that the water quality ion concentration in the water quality ion detection area to be tested exceeds the normal range, and a corresponding alarm message is issued.

[0040] Technical effects and advantages of the present invention:

[0041] 1. The present invention divides the water quality ion detection area to be tested into individual sub-water quality ion detection areas of equal distance and height through the water quality sampling area division module. By collecting water quality at different positions to analyze the ion concentration, it can effectively avoid errors caused by errors in a single set of data and provide more comprehensive feedback on the water quality ion situation;

[0042] 2. The present invention divides the water quality ion collection unit into a water quality cation parameter collection unit and a water quality anion parameter collection unit through a water quality ion parameter acquisition module, and respectively collects hardness ion influence parameters, scaling ion influence parameters, conductivity ion influence parameters, alkalinity ion influence parameters, corrosive ion influence parameters and nutrient ion influence parameters, analyzes the influence of water quality ion concentration on water quality from multiple angles, and provides effective data support for subsequent comprehensive processing and analysis;

[0043] 3. The present invention comprehensively processes and analyzes the collected water quality ion data through a water quality ion data preprocessing module, a water quality ion data analysis module and a comprehensive data analysis module, calculates a comprehensive water quality ion evaluation index, and compares the comprehensive water quality ion evaluation index with the comprehensive water quality ion abnormality index through an early warning module to determine whether the water quality ion concentration in the water body is within a normal range, and generates a water quality ion concentration detection report through a human-computer interaction module to comprehensively feedback the water quality of the water body. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] As attached Figure 1 A high-precision water quality ion concentration detection system based on the Internet of Things is shown, including a water quality sampling area division module, a water quality ion parameter acquisition module, a water quality ion data preprocessing module, a water quality ion data analysis module, a comprehensive data analysis module, an early warning module and a human-computer interaction module.

[0047] The output end of the water quality sampling area division module is connected to the input end of the water quality ion parameter acquisition module, the output end of the water quality ion parameter acquisition module is connected to the input end of the water quality ion data preprocessing module, the output end of the water quality ion data preprocessing module is connected to the input end of the water quality ion data analysis module, the output end of the water quality ion data analysis module is connected to the input end of the comprehensive data analysis module, the output end of the comprehensive data analysis module is connected to the input end of the early warning module, and the output end of the early warning module is connected to the input end of the human-computer interaction module.

[0048] The water quality sampling area division module is used to determine the water quality ion detection area to be tested. According to the different geology and water level of the water area to be tested, the water quality ion concentration is different. The water quality ion detection area to be tested is divided into single sub-water quality ion detection areas in a manner of equal horizontal distance and equal vertical height, and the horizontal markings are 1, 2, ..., i, ..., n, and the vertical markings are 1, 2, ..., j, ..., k.

[0049] What needs to be specifically explained in this embodiment is that the water quality ion detection area to be tested is divided into individual sub-water quality ion detection areas by equal horizontal distances and equal vertical heights. The water quality ion detection area to be tested can be divided into 10 meters horizontally and 0.5 meters vertically. By collecting water quality at different positions for ion concentration analysis, errors caused by errors in a single set of data can be effectively avoided, and more comprehensive feedback on the water quality ion situation can be provided.

[0050] The water quality ion parameter acquisition module is used to collect the concentrations of various ions in the water quality ion detection area to be tested, including a water quality cation parameter acquisition unit and a water quality anion parameter acquisition unit, and the collected data is compressed and encoded and then transmitted to the Internet of Things, and wireless communication between the water quality parameter acquisition module and the water quality ion data preprocessing module is realized through the Internet of Things.

[0051] The water quality cation parameter collection unit is used to collect hardness ion influencing parameters, scaling ion influencing parameters and conductivity ion influencing parameters. The hardness ion influencing parameters include calcium ion concentration and magnesium ion concentration, which are marked as C Ca and C Mg ; The scaling ion influencing parameters include barium ion concentration, strontium ion concentration, iron ion concentration and manganese ion concentration, which are marked as C Ba , C Sr , C Fe and C Mn ; The conductivity ion influencing parameters include sodium ion concentration and potassium ion concentration, marked as C Na and C K .

[0052] The water quality anion parameter acquisition unit is used to acquire alkalinity ion influencing parameters, corrosive ion influencing parameters and nutrient ion influencing parameters. The alkalinity ion influencing parameters include bicarbonate ion concentration, carbonate ion concentration and hydroxide ion concentration, which are marked as C HCO3 , C CO3 and C OH ; The corrosive ion influencing parameters include chloride ion concentration and sulfate ion concentration, marked as C Cl and C SO4 ; The parameters affecting nutrient ions include nitrate ion concentration, phosphate ion concentration and nitrite ion concentration, which are marked as C NO3 , C PO4 and C NO2 .

[0053] What needs to be specifically explained in this embodiment is that the concentration of water quality ions is detected by ion chromatography. First, a microporous filter membrane is used to filter out suspended matter and impurities in the sampled water; the ion chromatograph is calibrated using a standard solution of known concentration to ensure the accuracy and stability of the instrument; the treated sampled water is injected into the ion chromatograph for analysis, and the instrument will separate different ions according to the difference in distribution coefficients between the stationary phase and the mobile phase, and the concentration of each ion is determined by a conductivity detector and other equipment.

[0054] The water quality ion data preprocessing module is used to perform data preprocessing on the water quality cation parameters and water quality anion parameters collected by the water quality ion parameter acquisition module, including a water quality cation parameter preprocessing unit and a water quality anion parameter preprocessing unit, and transmits the processing results to the water quality ion data analysis module.

[0055] The water quality cation parameter pretreatment unit is used to establish a water quality cation parameter pretreatment model, import the hardness ion influence parameter, scaling ion influence parameter and conductivity ion influence parameter collected by the water quality ion parameter acquisition module into the water quality cation parameter pretreatment model, calculate the hardness ion influence evaluation value, scaling ion influence evaluation value and conductivity ion influence evaluation value, and the hardness ion influence evaluation value is specifically expressed as:

[0056]

[0057] y h Indicates the hardness ion impact assessment value of the water quality ion detection area to be tested, C Caij represents the calcium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Mgij represents the magnesium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, α 1 and α 2 They respectively represent the influence coefficients of calcium ion concentration and magnesium ion concentration on the evaluation value of the ions affecting the degree; the evaluation value of the scaling ion impact is specifically expressed as:

[0058]

[0059] y s Indicates the impact assessment value of scaling ions in the water quality ion detection area to be tested, C Baij represents the barium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Srij It represents the strontium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Feij It represents the iron ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, CMnij represents the manganese ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, β 1 , β 2 , β 3 and β 4 They respectively represent the influence coefficients of barium ion concentration, strontium ion concentration, iron ion concentration and manganese ion concentration on the evaluation value of scaling ion influence; the conductivity ion influence evaluation value is specifically expressed as:

[0060]

[0061] y e Indicates the conductivity ion impact assessment value of the water quality ion detection area to be tested, C Naij It represents the sodium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Kij represents the potassium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, γ 1 and γ 2 They are respectively expressed as the influence coefficients of sodium ion concentration and potassium ion concentration on the evaluation value of the conductivity ion impact.

[0062] What needs to be specifically explained in this embodiment is that the water quality cations in the water quality ion detection area to be tested are evaluated from three aspects: hardness, scaling and conductivity. Hardness ions affect the taste and flavor of water. At the same time, they can stabilize the pH value of the water body and increase the buffering capacity of the water body. However, too high a concentration of hardness ions will cause adverse effects; scaling ions are prone to cause scaling and clogging, corrosion and perforation of equipment, change water quality indicators, and affect water treatment effects; the lower the conductivity ion concentration, the better the water quality, and the higher the conductivity, the relatively poor water quality, and the higher the content of dissolved minerals and salts in the water body.

[0063] The water quality anion parameter pretreatment unit is used to establish a water quality anion parameter pretreatment model, import the alkalinity ion influence parameter, corrosive ion influence parameter and nutrient ion influence parameter collected by the water quality ion parameter module into the water quality anion parameter pretreatment model, calculate the alkalinity ion influence assessment value, corrosive ion influence assessment value and nutrient ion influence assessment value, and the alkalinity ion influence assessment value is specifically expressed as:

[0064]

[0065] y a Indicates the alkalinity ion impact assessment value of the water quality ion detection area to be tested, C HCO3ij represents the bicarbonate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C CO3ijrepresents the carbonate ion concentration in the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C OHij represents the hydroxide ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, δ 1 ,δ 2 and δ 3 They respectively represent the influence coefficients of bicarbonate ion concentration, carbonate ion concentration and hydroxide ion concentration on the alkalinity ion impact assessment value; the corrosive ion impact assessment value is specifically expressed as:

[0066]

[0067] y c Indicates the corrosive ion impact assessment value of the water quality ion detection area to be tested, C Clij It represents the chloride ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C SO4ij represents the sulfate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal and vertical directions of the water quality ion detection area to be tested, ε 1 and ε 2 They respectively represent the influence coefficients of chloride ion concentration and sulfate ion concentration on the impact assessment value of corrosive ions; the impact assessment value of nutritional ions is specifically expressed as:

[0068]

[0069] y n Indicates the nutritional ion impact assessment value of the water quality ion detection area to be tested, C NO3ij It represents the nitrate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C PO4ij represents the phosphate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C NO2ij represents the nitrite ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, λ 1 , 2 and 3 They respectively represent the influence coefficients of nitrate ion concentration, phosphate ion concentration and nitrite ion concentration on the evaluation value of nutritional ions.

[0070] What needs to be specifically explained in this embodiment is that the water quality anions in the water quality ion detection area to be tested are evaluated from three aspects: alkalinity, corrosiveness and nutritional value. Alkalinity ions can stabilize the pH value of the water body and improve the buffering capacity of the water body, but too high alkalinity ion concentration is easy to affect the growth and reproduction of aquatic organisms and affect the water purification effect; too high corrosive ion concentration is easy to destroy the living environment of aquatic organisms, affect the ecological balance, and have an impact on human health; appropriate concentrations of nutritional ions can provide aquatic organisms with the necessary nutrients for growth, but too high concentrations of nutritional ions are easy to cause problems such as excessive reproduction of algae and eutrophication of water bodies.

[0071] The water quality ion data analysis module is used to further analyze and process the data obtained by the water quality ion data preprocessing module, including a water quality cation data analysis unit and a water quality anion data analysis unit, and transmits the processing results to the comprehensive data analysis module.

[0072] The water quality cation data analysis unit is used to establish a water quality cation data analysis model, import the hardness ion impact assessment value, scaling ion impact assessment value and conductivity ion impact assessment value obtained by the water quality ion data preprocessing module into the water quality cation data analysis model, and calculate the water quality cation impact assessment value, which is specifically expressed as:

[0073]

[0074] y 阳 Indicates the water quality cation impact assessment value of the water quality ion detection area to be tested, y h Indicates the hardness ion impact assessment value of the water quality ion detection area to be tested, y s Indicates the impact assessment value of scaling ions in the water quality ion detection area to be tested, y e Indicates the conductivity ion impact assessment value of the water quality ion detection area to be tested, y h标 Indicates the standard hardness ion impact assessment value of the water quality ion detection area to be tested, μ 1 , μ 2 and μ 3 They respectively represent the influence coefficients of the hardness ion impact assessment value, the scaling ion impact assessment value and the conductivity ion impact assessment value on the water quality cation impact assessment value.

[0075] The water quality anion data analysis unit is used to establish a water quality anion data analysis model, import the alkalinity ion impact assessment value, the corrosive ion impact assessment value and the nutrient ion impact assessment value obtained by the water quality ion data preprocessing module into the water quality anion data analysis model, and calculate the water quality anion impact assessment value, which is specifically expressed as:

[0076]

[0077] y 阴 Indicates the water quality anion impact assessment value of the water quality ion detection area to be tested, y a Indicates the alkalinity ion impact assessment value of the water quality ion detection area to be tested, y c Indicates the corrosive ion impact assessment value of the water quality ion detection area to be tested, y n Indicates the nutritional ion impact assessment value of the water quality ion detection area to be tested, y a标 Represents the standard alkalinity ion impact assessment value of the water quality ion detection area to be tested, ρ 1 , 2 and ρ 3 They respectively represent the influence coefficients of the alkalinity ion impact assessment value, the corrosive ion impact assessment value and the nutrient ion impact assessment value on the water quality anion impact assessment value.

[0078] The comprehensive data analysis module is used to comprehensively process and analyze the water quality cation impact assessment value and the water quality anion impact assessment value obtained by the water quality ion data analysis module, including a comprehensive data analysis unit, and transmits the analysis results to the early warning module.

[0079] The comprehensive data analysis unit is used to establish a comprehensive data analysis model, import the water quality cation impact assessment value and the water quality anion impact assessment value obtained by the water quality ion data analysis module into the comprehensive data analysis model, and calculate the comprehensive water quality ion assessment index, which is specifically expressed as:

[0080]

[0081] η represents the comprehensive water quality ion evaluation index of the water quality ion detection area to be tested, y 阳 Indicates the water quality cation impact assessment value of the water quality ion detection area to be tested, y 阴 Indicates the water quality anion impact assessment value of the water quality ion detection area to be tested, y 阳标 Indicates the standard water quality cation impact assessment value of the water quality ion detection area to be tested, y 阴标 Indicates the standard water quality anion impact assessment value of the water quality ion detection area to be tested.

[0082] The early warning module is used to establish a comprehensive water quality ion anomaly index. By comparing the comprehensive water quality ion evaluation index obtained by the comprehensive data analysis module with the comprehensive water quality ion anomaly index, it is determined whether the water quality ion concentration in the water quality ion detection area to be tested is within the normal range, and a corresponding alarm message is issued, and the judgment result is transmitted to the human-computer interaction module.

[0083] The comprehensive water quality ion abnormality index is denoted as η 标 , when η<η 标When η>η, it means that the comprehensive water quality ion evaluation index is less than the comprehensive water quality ion abnormality index, indicating that the water quality ion concentration in the water quality ion detection area to be tested is within the normal range; when η>η 标 When , it means that the comprehensive water quality ion evaluation index is greater than the comprehensive water quality ion abnormality index, indicating that the water quality ion concentration in the water quality ion detection area to be tested exceeds the normal range, and a corresponding alarm message is issued.

[0084] The human-computer interaction module is used to generate a water quality ion concentration detection report and notify relevant staff so that they can take corresponding measures to solve the abnormal situation of water quality ions.

[0085] What needs to be specifically explained in this embodiment is that Jmeter is used to generate a water quality ion concentration test report, and the hardness ion influence parameters, scaling ion influence parameters, conductivity ion influence parameters, alkalinity ion influence parameters, corrosive ion influence parameters and nutritional ion influence parameters collected by the water quality ion parameter acquisition module are imported into the tool for generating the test report, and the data obtained by the water quality ion data preprocessing module, water quality ion data analysis module, comprehensive data analysis module and early warning module are imported into the tool for generating the test report, which will automatically generate a water quality ion concentration test report.

[0086] What needs to be specifically explained in this embodiment is that the water quality ion concentration detection report includes the average water quality ion concentrations in the water quality ion detection area to be tested and the hardness ion impact assessment value, scaling ion impact assessment value, conductivity ion impact assessment value, alkalinity ion impact assessment value, corrosive ion impact assessment value, nutrient ion impact assessment value, water quality cation impact assessment value, water quality anion impact assessment value and comprehensive water quality ion assessment index obtained after system processing, and includes the judgment result of the early warning module. The water quality ion concentration detection report can not only objectively and clearly reflect the concentration of each ion in the water quality ion detection area to be tested, but also comprehensively reflect the impact of these water quality ions on water quality.

[0087] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0088] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A high-precision water quality ion concentration detection system based on the Internet of Things, characterized in that: include: Water quality sampling area division module: used to determine the water quality ion detection area to be tested. According to the different geology and water level of the water area to be tested, the water quality ion detection area to be tested has different water quality ion concentrations. The water quality ion detection area to be tested is divided into individual sub-water quality ion detection areas in a manner of equal distance horizontally and equal height vertically. The horizontal markings are 1, 2, ..., i, ..., n, and the vertical markings are 1, 2, ..., j, ..., k; Water quality ion parameter acquisition module: used to collect the concentration of each ion in the water quality ion detection area to be tested, including a water quality cation parameter acquisition unit and a water quality anion parameter acquisition unit, and compress and encode the collected data and transmit it to the Internet of Things, and realize wireless communication between the water quality parameter acquisition module and the water quality ion data preprocessing module through the Internet of Things; Water quality ion data preprocessing module: used to perform data preprocessing on the water quality cation parameters and water quality anion parameters collected by the water quality ion parameter acquisition module, including a water quality cation parameter preprocessing unit and a water quality anion parameter preprocessing unit, and transmit the processing results to the water quality ion data analysis module; Water quality ion data analysis module: used to further analyze and process the data obtained by the water quality ion data preprocessing module, including a water quality cation data analysis unit and a water quality anion data analysis unit, and transmit the processing results to the comprehensive data analysis module; Comprehensive data analysis module: used to comprehensively process and analyze the water quality cation impact assessment value and water quality anion impact assessment value obtained by the water quality ion data analysis module, including a comprehensive data analysis unit, and transmit the analysis results to the early warning module; Early warning module: used to establish a comprehensive water quality ion abnormality index. By comparing the comprehensive water quality ion evaluation index obtained by the comprehensive data analysis module with the comprehensive water quality ion abnormality index, it is determined whether the water quality ion concentration in the water quality ion detection area to be tested is within the normal range, and the corresponding alarm information is issued, and the judgment result is transmitted to the human-computer interaction module; Human-computer interaction module: used to generate water quality ion concentration detection report and notify relevant staff so that they can take appropriate measures to solve the abnormal situation of water quality ions.

2. According to the high-precision water quality ion concentration detection system based on the Internet of Things according to claim 1, it is characterized by: The water quality cation parameter acquisition unit is used to collect hardness ion influencing parameters, scaling ion influencing parameters and conductivity ion influencing parameters. The hardness ion influencing parameters include calcium ion concentration and magnesium ion concentration, which are marked as C Ca and C Mg ; The scaling ion influencing parameters include barium ion concentration, strontium ion concentration, iron ion concentration and manganese ion concentration, which are marked as C Ba , C Sr , C Fe and C Mn ; The conductivity ion influencing parameters include sodium ion concentration and potassium ion concentration, marked as C Na and C K .

3. According to the high-precision water quality ion concentration detection system based on the Internet of Things according to claim 1, it is characterized in that: The water quality anion parameter acquisition unit is used to acquire alkalinity ion influencing parameters, corrosive ion influencing parameters and nutrient ion influencing parameters. The alkalinity ion influencing parameters include bicarbonate ion concentration, carbonate ion concentration and hydroxide ion concentration, which are marked as C HCO3 , C CO3 and C OH ; The corrosive ion influencing parameters include chloride ion concentration and sulfate ion concentration, marked as C Cl and C SO4 ; The parameters affecting nutrient ions include nitrate ion concentration, phosphate ion concentration and nitrite ion concentration, which are marked as C NO3 , C PO4 and C NO2 .

4. The high-precision water quality ion concentration detection system based on the Internet of Things according to claim 1 is characterized in that: The water quality cation parameter pretreatment unit is used to establish a water quality cation parameter pretreatment model, import the hardness ion influence parameter, scaling ion influence parameter and conductivity ion influence parameter collected by the water quality ion parameter acquisition module into the water quality cation parameter pretreatment model, calculate the hardness ion influence evaluation value, scaling ion influence evaluation value and conductivity ion influence evaluation value, and the hardness ion influence evaluation value is specifically expressed as: y h Indicates the hardness ion impact assessment value of the water quality ion detection area to be tested, C Caij represents the calcium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Mgij It represents the magnesium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, α1 and α2 represent the influence coefficients of the calcium ion concentration and the magnesium ion concentration on the evaluation value of the ion influencing the degree, respectively; the evaluation value of the impact of scaling ions is specifically expressed as: y s Indicates the impact assessment value of scaling ions in the water quality ion detection area to be tested, C Baij represents the barium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Srij It represents the strontium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Feij It represents the iron ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Mnij represents the manganese ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, β1, β2, β3 and β4 represent the influence coefficients of the barium ion concentration, strontium ion concentration, iron ion concentration and manganese ion concentration on the scaling ion impact assessment value respectively; the conductivity ion impact assessment value is specifically expressed as: y e Indicates the conductivity ion impact assessment value of the water quality ion detection area to be tested, C Naij It represents the sodium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C Kij represents the potassium ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, and γ1 and γ2 represent the influence coefficients of the sodium ion concentration and potassium ion concentration on the conductivity ion impact assessment value, respectively.

5. The high-precision water quality ion concentration detection system based on the Internet of Things according to claim 1 is characterized in that: The water quality anion parameter pretreatment unit is used to establish a water quality anion parameter pretreatment model, import the alkalinity ion influence parameter, corrosive ion influence parameter and nutrient ion influence parameter collected by the water quality ion parameter module into the water quality anion parameter pretreatment model, calculate the alkalinity ion influence assessment value, corrosive ion influence assessment value and nutrient ion influence assessment value, and the alkalinity ion influence assessment value is specifically expressed as: y a Indicates the alkalinity ion impact assessment value of the water quality ion detection area to be tested, C HCO3ij represents the bicarbonate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C CO3ij represents the carbonate ion concentration in the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C OHij represents the hydroxide ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, δ1, δ2 and δ3 represent the influence coefficients of the bicarbonate ion concentration, carbonate ion concentration and hydroxide ion concentration on the alkalinity ion impact assessment value respectively; the corrosive ion impact assessment value is specifically expressed as: y c Indicates the corrosive ion impact assessment value of the water quality ion detection area to be tested, C Clij It represents the chloride ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C SO4ij It represents the sulfate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested. ε1 and ε2 represent the influence coefficients of the chloride ion concentration and sulfate ion concentration on the corrosive ion impact assessment value, respectively. The nutritional ion impact assessment value is specifically expressed as: y n Indicates the nutritional ion impact assessment value of the water quality ion detection area to be tested, C NO3ij It represents the nitrate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C PO4ij represents the phosphate ion concentration of the i-th and j-th sub-water quality ion detection areas in the horizontal direction of the water quality ion detection area to be tested, C NO2ij represents the nitrite ion concentration in the i-th horizontal and j-th vertical sub-water quality ion detection area of ​​the water quality ion detection area to be tested, and λ1, λ2 and λ3 respectively represent the influence coefficients of nitrate ion concentration, phosphate ion concentration and nitrite ion concentration on the evaluation value of nutritional ions.

6. The high-precision water quality ion concentration detection system based on the Internet of Things according to claim 1 is characterized in that: The water quality cation data analysis unit is used to establish a water quality cation data analysis model, import the hardness ion impact assessment value, scaling ion impact assessment value and conductivity ion impact assessment value obtained by the water quality ion data preprocessing module into the water quality cation data analysis model, and calculate the water quality cation impact assessment value, which is specifically expressed as: y 阳 Indicates the water quality cation impact assessment value of the water quality ion detection area to be tested, y h Indicates the hardness ion impact assessment value of the water quality ion detection area to be tested, y s Indicates the impact assessment value of scaling ions in the water quality ion detection area to be tested, y e Indicates the conductivity ion impact assessment value of the water quality ion detection area to be tested, y h标 It represents the standard hardness ion impact assessment value of the water quality ion detection area to be tested, and μ1, μ2 and μ3 respectively represent the influence coefficients of the hardness ion impact assessment value, the scaling ion impact assessment value and the conductivity ion impact assessment value on the water quality cation impact assessment value.

7. The high-precision water quality ion concentration detection system based on the Internet of Things according to claim 1 is characterized in that: The water quality anion data analysis unit is used to establish a water quality anion data analysis model, import the alkalinity ion impact assessment value, the corrosive ion impact assessment value and the nutrient ion impact assessment value obtained by the water quality ion data preprocessing module into the water quality anion data analysis model, and calculate the water quality anion impact assessment value, which is specifically expressed as: y 阴 Indicates the water quality anion impact assessment value of the water quality ion detection area to be tested, y a Indicates the alkalinity ion impact assessment value of the water quality ion detection area to be tested, y c Indicates the corrosive ion impact assessment value of the water quality ion detection area to be tested, y n Indicates the nutritional ion impact assessment value of the water quality ion detection area to be tested, y a标 It represents the standard alkalinity ion impact assessment value of the water quality ion detection area to be tested, and ρ1, ρ2 and ρ3 respectively represent the influence coefficients of the alkalinity ion impact assessment value, the corrosive ion impact assessment value and the nutrient ion impact assessment value on the water quality anion impact assessment value.

8. The high-precision water quality ion concentration detection system based on the Internet of Things according to claim 1 is characterized in that: The comprehensive data analysis unit is used to establish a comprehensive data analysis model, import the water quality cation impact assessment value and the water quality anion impact assessment value obtained by the water quality ion data analysis module into the comprehensive data analysis model, and calculate the comprehensive water quality ion assessment index, which is specifically expressed as: η represents the comprehensive water quality ion evaluation index of the water quality ion detection area to be tested, y 阳 Indicates the water quality cation impact assessment value of the water quality ion detection area to be tested, y 阴 Indicates the water quality anion impact assessment value of the water quality ion detection area to be tested, y 阳标 Indicates the standard water quality cation impact assessment value of the water quality ion detection area to be tested, y 阴标 Indicates the standard water quality anion impact assessment value of the water quality ion detection area to be tested.

9. The high-precision water quality ion concentration detection system based on the Internet of Things according to claim 1 is characterized in that: The comprehensive water quality ion abnormality index is denoted as η 标 , when η<η 标 When η>η, it means that the comprehensive water quality ion evaluation index is less than the comprehensive water quality ion abnormality index, indicating that the water quality ion concentration in the water quality ion detection area to be tested is within the normal range; when η>η 标 When , it means that the comprehensive water quality ion evaluation index is greater than the comprehensive water quality ion abnormality index, indicating that the water quality ion concentration in the water quality ion detection area to be tested exceeds the normal range, and a corresponding alarm message is issued.

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