A drinking water purification method and system based on remote collection and analysis

Abstract

This invention relates to the field of drinking water purification technology, and discloses a drinking water purification method and system based on remote data acquisition and analysis. The invention uses water quality sensors to collect water quality parameters at corresponding locations in real time, and transmits the collected data to a data transmission module via a wireless communication module. A remote server receives the water quality parameter data sent by the data transmission module, stores the data in a database, and uses a preset data analysis algorithm to perform real-time analysis of the water quality parameter data to determine whether the water quality meets drinking water standards. Based on the data analysis results, the remote server sends control commands to the control module of the drinking water purification system via the Internet. For example, when high turbidity is detected in the raw water, the control module increases the dosage of flocculant; when the residual chlorine content of the purified water is insufficient, the control module activates the chlorination equipment to increase the residual chlorine content.

Description

Technical Field

[0001] This invention relates to the field of drinking water purification technology, specifically to a drinking water purification method and system based on remote acquisition and analysis. Background Technology

[0002] As people's living standards improve, their requirements for drinking water quality are becoming increasingly stringent. Traditional drinking water purification systems are mostly locally controlled, lacking real-time remote monitoring and intelligent analysis capabilities. This makes it difficult to adjust the purification process in a timely manner according to changes in water quality, potentially leading to over-purification and resource waste, or under-purification that fails to meet drinking water standards. Therefore, there is an urgent need for a drinking water purification method capable of remote data acquisition and analysis to improve the efficiency and quality of drinking water purification. Summary of the Invention

[0003] The purpose of this invention is to provide a drinking water purification method and system based on remote data acquisition and analysis, thereby solving the aforementioned technical problems.

[0004] A drinking water purification method based on remote data acquisition and analysis, the method comprising the following steps:

[0005] Step S1: Collect water quality parameters at different locations in the drinking water purification system in real time, and send the collected data to the data transmission module through the wireless communication module;

[0006] Step S2: Receive water quality parameter data from the water quality sensor, encode and package the data, and transmit the data to a remote server via the Internet;

[0007] Step S3: Perform unified normalization processing on the water quality parameter data;

[0008] Step S4: Perform real-time analysis on the treated water quality parameter data to determine whether the water quality meets the requirements for drinking water quality.

[0009] As a further description of the technical solution of the present invention, the water quality parameters in step S1 include: physical parameters, chemical parameters and biological parameters;

[0010] The physical parameters include: turbidity, color, temperature, and conductivity;

[0011] The chemical parameters include: pH value, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite;

[0012] The biological parameters include: total coliforms and total bacterial count.

[0013] As a further description of the technical solution of the present invention, the working process of step S1 includes:

[0014] Step S21: The gateway packages the data according to the protocol and adds timestamp, device ID, and GPS location information;

[0015] Step S22: Transmit via TLS / SSL encrypted channel;

[0016] Step S23: The data is relayed through base stations, gateways or the Internet, and finally reaches the cloud platform or local server;

[0017] Step S24: The cloud platform or local server receives data via MQTTBroker or RESTAPI, parses it, and stores it in the time series database.

[0018] As a further description of the technical solution of the present invention, the working process of step S4 includes:

[0019] The system acquires the turbidity, color, temperature, and conductivity of drinking water at the current moment and compares them with the standard values ​​set by the system. If any physical parameter exceeds the standard, it can be directly determined that the physical parameter is unqualified.

[0020] If no physical parameter exceeds the standard, calculate the score for each physical parameter: turbidity score. Color score Temperature score and conductivity score ;

[0021] The mathematical models for scoring each physical parameter are constructed separately, and the expressions are as follows:

[0022] ;

[0023] ;

[0024] ;

[0025] ;

[0026] In the formula, , , and These are the measured values ​​of turbidity, color, temperature, and conductivity of drinking water collected at the current moment. This function returns the larger of two values. If x is greater than or equal to 0, it returns x; if x is less than 0, it returns 0. , and The system is set with critical values ​​for drinking water turbidity, color, and conductivity. The drinking water temperature reference range set for the system;

[0027] A mathematical model for the qualification coefficient of physical parameters of drinking water is constructed, and the expression is as follows:

[0028] ;

[0029] In the formula, These are the weighting coefficients corresponding to the scores for turbidity, color, temperature, and conductivity of drinking water, respectively.

[0030] As a further description of the technical solution of the present invention, the working process of step S4 also includes:

[0031] The system acquires the current drinking water pH, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite values, and compares them with the standard values ​​set by the system. If any chemical parameter exceeds the standard, it can be directly determined that the chemical parameter is unqualified.

[0032] If no chemical parameter exceeds the standard, calculate the score for each chemical parameter: pH value score. Dissolved oxygen score Residual chlorine score Chemical oxygen demand score Total organic carbon score Heavy metal score Nitrate / nitrite score ;

[0033] The mathematical models for scoring each chemical parameter are constructed separately, and the expressions are as follows:

[0034] ;

[0035] ;

[0036] ;

[0037] ;

[0038] ;

[0039] ;

[0040] ;

[0041] In the formula, , , , , , and These are the measured values ​​of drinking water pH, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite ratios collected at the current time. , , These are the reference ranges for drinking water pH, dissolved oxygen, and residual chlorine set by the system. , , , These are the system-defined critical values ​​for chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite.

[0042] A mathematical model for the qualification coefficient of drinking water chemical parameters is constructed, and the expression is as follows:

[0043] ;

[0044] In the formula, These are the weighting coefficients for drinking water pH, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite, respectively.

[0045] As a further description of the technical solution of the present invention, the working process of step S4 also includes:

[0046] Obtain the total coliform count and total bacterial count of drinking water at the current moment, and construct a mathematical model for the compliance coefficient of drinking water biological parameters. The expression is as follows:

[0047] ;

[0048] In the formula, , These are the measured values ​​of total coliform bacteria and total bacterial count in drinking water. , These are the weighting coefficients for total coliforms and total bacterial count in drinking water, respectively. , These are the system's preset threshold values ​​for total coliform bacteria and total bacterial count in drinking water.

[0049] As a further description of the technical solution of the present invention, the working process of step S4 includes:

[0050] The pass coefficients for physical parameters, chemical parameters, and biological parameters of drinking water are compared with the threshold ranges corresponding to the pass coefficients set by the system. If all pass coefficients meet the corresponding threshold ranges, it means that the drinking water meets the physical, chemical, and biological quality requirements.

[0051] If any pass coefficient fails to meet the corresponding threshold range, it indicates that the drinking water does not meet the corresponding quality requirements.

[0052] As a further description of the technical solution of the present invention, the working process of step S4 also includes:

[0053] When all compliance coefficients meet the corresponding threshold ranges, a mathematical model for drinking water scoring is constructed, expressed as follows:

[0054]

[0055] In the formula, , and These are the weighting coefficients corresponding to the pass rates for physical parameters, chemical parameters, and biological parameters, respectively. The score decay coefficient is based on... , and Adjust the size of the difference between the value and the boundary value of the corresponding threshold interval;

[0056] The drinking water score F is compared with the system's set grade range to classify qualified drinking water into grades.

[0057] A drinking water purification system based on remote data acquisition and analysis, the system comprising:

[0058] The data acquisition module is used to collect multi-source data on drinking water.

[0059] The data transmission module is used to transmit multi-source data to a remote server;

[0060] The data processing module is used to clean, reduce noise, and normalize multi-source data;

[0061] The data analysis module is used to perform real-time analysis of multi-source data to determine whether the water quality meets the requirements for drinking water quality.

[0062] The beneficial effects of this invention are:

[0063] 1. This invention enables real-time and comprehensive acquisition of drinking water quality parameters by installing water quality sensors at multiple locations in the drinking water purification system, thus obtaining water quality information in a timely and accurate manner.

[0064] 2. By using a remote server to store and analyze the collected water quality parameter data, the purification process can be adjusted in a timely manner according to changes in water quality, which improves purification efficiency and quality, avoids the problem of over- or under-purification, and saves resources. Attached Figure Description

[0065] The invention will now be further described with reference to the accompanying drawings.

[0066] Figure 1 This is a partial flowchart of the drinking water purification method based on remote acquisition and analysis provided by the present invention. Detailed Implementation

[0067] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0068] Please see Figure 1 As shown, a drinking water purification method based on remote data acquisition and analysis includes the following steps:

[0069] Step S1: Collect water quality parameters at different locations in the drinking water purification system in real time, and send the collected data to the data transmission module through the wireless communication module;

[0070] Step S2: Receive water quality parameter data from the water quality sensor, encode and package the data, and transmit the data to a remote server via the Internet;

[0071] Step S3: Perform unified normalization processing on the water quality parameter data;

[0072] Step S4: Perform real-time analysis on the treated water quality parameter data to determine whether the water quality meets the requirements for drinking water quality.

[0073] Through the above technical solution, this invention installs water quality sensors at different locations in the drinking water purification system, such as the outlets of each purification unit and the purified water outlet. These sensors collect water quality parameters at the corresponding locations in real time and transmit the collected data to a data transmission module via a wireless communication module. The data transmission module receives the water quality parameter data from the sensors, encodes and packages the data, and transmits it to a remote server via the Internet. The data transmission module uses the TCP / IP protocol for data transmission to ensure the stability and accuracy of the data transmission. The remote server receives the water quality parameter data sent by the data transmission module, stores the data in a database, and uses a preset data analysis algorithm to perform real-time analysis of the water quality parameter data to determine whether the water quality meets drinking water standards. Based on the data analysis results, the remote server sends control commands to the control module of the drinking water purification system via the Internet. For example, when high turbidity is detected in the raw water, the control module increases the dosage of flocculant; when the residual chlorine content of the purified water is insufficient, the control module activates the chlorination equipment to increase the residual chlorine content.

[0074] As a further description of the technical solution of the present invention, the water quality parameters in step S1 include: physical parameters, chemical parameters and biological parameters;

[0075] The physical parameters include: turbidity, color, temperature, and conductivity;

[0076] Turbidity (NTU): Reflects the concentration of suspended particles in water.

[0077] Colorimetric Unit (PCU): Measures the color abnormality of water.

[0078] Temperature (°C): Affects microbial activity and chemical reaction rates.

[0079] Electrical conductivity (μS / cm): indirectly reflects the content of dissolved inorganic salts in water.

[0080] Flow rate (L / min): Monitors the operating status of the water supply system.

[0081] The chemical parameters include: pH value, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite;

[0082] pH value: measures the acidity or alkalinity of water, affecting purification efficiency and pipe corrosion.

[0083] Dissolved oxygen (DO, mg / L): reflects the self-purification capacity of water bodies.

[0084] Residual chlorine (mg / L): The amount of disinfectant remaining to ensure continuous sterilization effect.

[0085] Chemical oxygen demand (COD, mg / L): reflects the content of organic pollutants.

[0086] Total organic carbon (TOC, mg / L): a comprehensive indicator of organic pollution.

[0087] Heavy metals (such as lead, arsenic, mercury, etc., μg / L): Monitoring of toxic pollutants.

[0088] Nitrate / nitrite (mg / L): an indicator of agricultural pollution or groundwater pollution.

[0089] The biological parameters include: total coliforms and total bacterial count.

[0090] Total coliforms (CFU / mL): Indicates the risk of microbial contamination.

[0091] Total bacterial count: Assess the overall level of biocontamination.

[0092] As a further description of the technical solution of the present invention, the working process of step S1 includes:

[0093] Step S21: The gateway packages the data according to the protocol and adds timestamp, device ID, and GPS location information;

[0094] Step S22: Transmit via TLS / SSL encrypted channel;

[0095] Step S23: The data is relayed through base stations, gateways or the Internet, and finally reaches the cloud platform or local server;

[0096] Step S24: The cloud platform or local server receives data via MQTTBroker or RESTAPI, parses it, and stores it in the time series database.

[0097] As a further description of the technical solution of the present invention, the working process of step S4 includes:

[0098] The system acquires the turbidity, color, temperature, and conductivity of drinking water at the current moment and compares them with the standard values ​​set by the system. If any physical parameter exceeds the standard, it can be directly determined that the physical parameter is unqualified.

[0099] If no physical parameter exceeds the standard, calculate the score for each physical parameter: turbidity score. Color score Temperature score and conductivity score ;

[0100] The mathematical models for scoring each physical parameter are constructed separately, and the expressions are as follows:

[0101] ;

[0102] ;

[0103] ;

[0104] ;

[0105] In the formula, , , and These are the measured values ​​of turbidity, color, temperature, and conductivity of drinking water collected at the current moment. This function returns the larger of two values. If x is greater than or equal to 0, it returns x; if x is less than 0, it returns 0. , and The system is set with critical values ​​for drinking water turbidity, color, and conductivity. The drinking water temperature reference range set for the system;

[0106] A mathematical model for the qualification coefficient of physical parameters of drinking water is constructed, and the expression is as follows:

[0107] ;

[0108] In the formula, These are the weighting coefficients corresponding to the scores for turbidity, color, temperature, and conductivity of drinking water, respectively.

[0109] Through the above technical solution, this embodiment provides a method for calculating the pass coefficient of drinking water physical parameters based on physical parameters (turbidity, color, temperature, conductivity). Its core principle is to compare the measured value of each parameter with a preset critical value, calculate the score of each parameter, and then obtain the comprehensive pass coefficient through a weighted average. In the formula, through… The system enables range-based judgment and strengthens penalties for exceeding parameters. It is suitable for remote monitoring systems to quickly assess water quality, achieving rapid and quantitative evaluation of the physical safety of drinking water and providing data support for subsequent purification strategies.

[0110] As a further description of the technical solution of the present invention, the working process of step S4 also includes:

[0111] The system acquires the current drinking water pH, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite values, and compares them with the standard values ​​set by the system. If any chemical parameter exceeds the standard, it can be directly determined that the chemical parameter is unqualified.

[0112] If no chemical parameter exceeds the standard, calculate the score for each chemical parameter: pH value score. Dissolved oxygen score Residual chlorine score Chemical oxygen demand score Total organic carbon score Heavy metal score Nitrate / nitrite score ;

[0113] The mathematical models for scoring each chemical parameter are constructed separately, and the expressions are as follows:

[0114] ;

[0115] ;

[0116] ;

[0117] ;

[0118] ;

[0119] ;

[0120] ;

[0121] In the formula, , , , , , and These are the measured values ​​of drinking water pH, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite ratios collected at the current time. , , These are the reference ranges for drinking water pH, dissolved oxygen, and residual chlorine set by the system. , , , These are the system-defined critical values ​​for chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite.

[0122] It should be noted that the measured values ​​of heavy metals refer to the measured values ​​of lead, and the measured values ​​of nitrate / nitrite refer to the comprehensive weighted values.

[0123] A mathematical model for the qualification coefficient of drinking water chemical parameters is constructed, and the expression is as follows:

[0124] ;

[0125] In the formula, These are the weighting coefficients for drinking water pH, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite, respectively.

[0126] Through the above technical solution, this embodiment provides a method for calculating the compliance coefficient of drinking water chemical parameters based on chemical parameters (pH value, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, nitrate / nitrite). Its core principle is to set reference ranges or critical values ​​for each parameter, calculate the score for each parameter, and then obtain a comprehensive chemical safety factor through weighted averaging. In the formula, ... With strict range-based judgment and enhanced penalties for exceeding parameters, this system ensures safety by strictly controlling ranges: key parameters such as pH, DO, and residual chlorine are subject to hard range-based judgment. Linear attenuation penalties are applied: COD, TOC, and heavy metals are penalized with linear deductions for exceeding limits, quantifying the degree of pollution. It is suitable for rapid water quality assessment in remote monitoring systems, enabling rapid and quantitative evaluation of the physical safety of drinking water and providing data support for subsequent purification strategies.

[0127] As a further description of the technical solution of the present invention, the working process of step S4 also includes:

[0128] Obtain the total coliform count and total bacterial count of drinking water at the current moment, and construct a mathematical model for the compliance coefficient of drinking water biological parameters. The expression is as follows:

[0129] ;

[0130] In the formula, , These are the measured values ​​of total coliform bacteria and total bacterial count in drinking water. , These are the weighting coefficients for total coliforms and total bacterial count in drinking water, respectively. , These are the system's preset threshold values ​​for total coliform bacteria and total bacterial count in drinking water.

[0131] Through the above technical solution, this embodiment provides a method for calculating the compliance coefficient (B) of drinking water biological parameters based on total coliforms (TC) and total bacterial count (HPC). This coefficient is used to assess the microbial safety of drinking water. Its core principle is to quantify the risk of microbial contamination through a nonlinear mathematical model and combine it with weighting coefficients for comprehensive scoring. In the formula, the exponential and inverse proportional functions enhance the sensitivity to exceeding the standard (high score at low concentrations, sharp drop when exceeding the standard). Through the nonlinear mathematical model and weighting allocation, a rapid quantitative assessment of the microbial safety of drinking water is achieved. Its core advantages include: a sharp drop in score when exceeding the standard, avoiding missed detection, highlighting the health risks of coliforms, and suitability for rapid detection in remote monitoring.

[0132] As a further description of the technical solution of the present invention, the working process of step S4 includes:

[0133] The pass coefficients for physical parameters, chemical parameters, and biological parameters of drinking water are compared with the threshold ranges corresponding to the pass coefficients set by the system. If all pass coefficients meet the corresponding threshold ranges, it means that the drinking water meets the physical, chemical, and biological quality requirements.

[0134] If any pass coefficient fails to meet the corresponding threshold range, it indicates that the drinking water does not meet the corresponding quality requirements.

[0135] As a further description of the technical solution of the present invention, the working process of step S4 also includes:

[0136] When all compliance coefficients meet the corresponding threshold ranges, a mathematical model for drinking water scoring is constructed, expressed as follows:

[0137]

[0138] In the formula, , and These are the weighting coefficients corresponding to the pass rates for physical parameters, chemical parameters, and biological parameters, respectively. The score decay coefficient is based on... , and Adjust the size of the difference between the value and the left boundary value of the corresponding threshold interval;

[0139] respectively , and Compare the difference between the left boundary value of the corresponding threshold interval and the target value set by the system. If either value exceeds the target value, =0.7, if not appearing =1.

[0140] The drinking water score F is compared with the system's set grade range to classify qualified drinking water into grades.

[0141] Through the above technical solution, this embodiment provides a final judgment and grading mechanism for drinking water quality. Its core logic is to comprehensively evaluate the pass coefficients of three major categories of parameters: physical (P), chemical (C), and biological (B), and classify the drinking water into grades based on the score (F). If any coefficient of P, C, or B does not meet the preset threshold range, the water quality is directly judged as unqualified without calculating the comprehensive score. If P, C, and B all meet the threshold, the comprehensive scoring process is initiated. In the formula, the attenuation coefficient is dynamically adjusted according to the closeness of P, C, and B to the left boundary of their respective thresholds. By comprehensively considering physical, chemical, and biological parameters, misjudgment by a single indicator is avoided. The attenuation coefficient enhances the identification of critical risks, realizing intelligent assessment and control of drinking water quality.

[0142] A drinking water purification system based on remote data acquisition and analysis, the system comprising:

[0143] The data acquisition module is used to collect multi-source data on drinking water.

[0144] The data transmission module is used to transmit multi-source data to a remote server;

[0145] The data processing module is used to clean, reduce noise, and normalize multi-source data;

[0146] The data analysis module is used to perform real-time analysis of multi-source data to determine whether the water quality meets the requirements for drinking water quality.

[0147] It should be noted that all weight coefficients, thresholds, threshold ranges, and target values ​​in this invention are empirical values ​​and can be modified based on the characteristics of the data to be evaluated.

[0148] The foregoing detailed one embodiment of the present invention, but this is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the patent coverage of the present invention.

Claims

1. A drinking water purification method based on remote data acquisition and analysis, characterized in that, The method includes the following steps: Step S1: Collect water quality parameters at different locations in the drinking water purification system in real time, and send the collected data to the data transmission module through the wireless communication module; Step S2: Receive water quality parameter data from the water quality sensor, encode and package the data, and transmit the data to a remote server via the Internet; Step S3: Perform unified normalization processing on the water quality parameter data; Step S4: Analyze the treated water quality parameter data in real time to determine whether the water quality meets the drinking water quality requirements; The water quality parameters in step S1 include: physical parameters, chemical parameters, and biological parameters; The physical parameters include: turbidity, color, temperature, and conductivity; The chemical parameters include: pH value, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite; The biological parameters include: total coliforms and total bacterial count; The working process of step S4 includes: The system acquires the turbidity, color, temperature, and conductivity of drinking water at the current moment and compares them with the standard values ​​set by the system. If any physical parameter exceeds the standard, it is directly determined that the physical parameter is unqualified. If no physical parameter exceeds the standard, calculate the score for each physical parameter: turbidity score. Color score Temperature score and conductivity score ; The mathematical models for scoring each physical parameter are constructed separately, and the expressions are as follows: ； ； ； ； In the formula, , , and These are the measured values ​​of turbidity, color, temperature, and conductivity of drinking water collected at the current moment. This function returns the larger of two values. If x is greater than or equal to 0, it returns x; if x is less than 0, it returns 0. , and The system is set with critical values ​​for drinking water turbidity, color, and conductivity. The drinking water temperature reference range set for the system; A mathematical model for the qualification coefficient of physical parameters of drinking water is constructed, and the expression is as follows: ； In the formula, , , , These are the weighting coefficients corresponding to the scores for turbidity, color, temperature, and conductivity of drinking water, respectively. The working process of step S4 also includes: The system acquires the current drinking water pH, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite values, and compares them with the standard values ​​set by the system. If any chemical parameter exceeds the standard, it is directly determined that the chemical parameter is unqualified. If no chemical parameter exceeds the standard, calculate the score for each chemical parameter: pH value score. Dissolved oxygen score Residual chlorine score Chemical oxygen demand score Total organic carbon score Heavy metal score Nitrate / nitrite score ; The mathematical models for scoring each chemical parameter are constructed separately, and the expressions are as follows: ； ； ； ； ； ； ； In the formula, , , , , , and These are the measured values ​​of drinking water pH, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite ratios collected at the current time. , , These are the reference ranges for drinking water pH, dissolved oxygen, and residual chlorine set by the system. , , , These are the system-defined critical values ​​for chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite. A mathematical model for the qualification coefficient of drinking water chemical parameters is constructed, and the expression is as follows: ； In the formula, , , , , , , The weighting coefficients are for drinking water pH, dissolved oxygen, residual chlorine, chemical oxygen demand, total organic carbon, heavy metals, and nitrate / nitrite, respectively. The working process of step S4 also includes: Obtain the total coliform count and total bacterial count of drinking water at the current moment, and construct a mathematical model for the compliance coefficient of drinking water biological parameters. The expression is as follows: ； In the formula, , These are the measured values ​​of total coliform bacteria and total bacterial count in drinking water. , These are the weighting coefficients for total coliforms and total bacterial count in drinking water, respectively. , These are the system-preset critical values ​​for total coliform bacteria and total bacterial count in drinking water; The working process of step S4 includes: The pass coefficients for physical parameters, chemical parameters, and biological parameters of drinking water are compared with the threshold ranges corresponding to the pass coefficients set by the system. If all pass coefficients meet the corresponding threshold ranges, it means that the drinking water meets the physical, chemical, and biological quality requirements. If any pass coefficient fails to meet the corresponding threshold range, it indicates that the drinking water does not meet the corresponding quality requirements. The working process of step S4 also includes: When all compliance coefficients meet the corresponding threshold ranges, a mathematical model for drinking water scoring is constructed, expressed as follows: In the formula, , and These are the weighting coefficients corresponding to the pass rates for physical parameters, chemical parameters, and biological parameters, respectively. The score decay coefficient is based on... , and Adjust the size of the difference between the value and the boundary value of the corresponding threshold interval; The drinking water score F is compared with the system's set grade range to classify qualified drinking water into grades.

2. The drinking water purification method based on remote acquisition and analysis according to claim 1, characterized in that, The working process of step S1 includes: Step S21: The gateway packages the data according to the protocol and adds timestamp, device ID, and GPS location information; Step S22: Transmit via TLS / SSL encrypted channel; Step S23: The data is relayed through base stations, gateways or the Internet, and finally reaches the cloud platform or local server; Step S24: The cloud platform or local server receives data via MQTTBroker or RESTAPI, parses it, and stores it in the time series database.

3. A drinking water purification system based on remote data acquisition and analysis, the system being used to implement the drinking water purification method based on remote data acquisition and analysis as described in any one of claims 1-2, characterized in that, The system includes: The data acquisition module is used to collect multi-source data on drinking water. The data transmission module is used to transmit multi-source data to a remote server; The data processing module is used to clean, reduce noise, and normalize multi-source data; The data analysis module is used to perform real-time analysis of multi-source data to determine whether the water quality meets the requirements for drinking water quality.

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