A rural water system comprehensive treatment system and treatment method

Abstract

The application discloses a kind of rural water system comprehensive treatment system and treatment method, comprising: water source collection module, sampling is carried out to water body, obtains detection sample, obtains the data parameter of water source according to detection sample;Water source analysis module, based on the data parameter of water source obtained from detection sample, carries out calculation and analysis, obtains water source performance data;Water source detection module, based on water source performance data, detects currently, obtains water quality signal;Water quality signal includes water quality poor grade signal, water quality medium grade signal, water quality superior grade signal;Treatment allocation module, based on water quality signal, obtains pollution performance data, allocates different treatment scheme, pollution performance data includes pollution proportion, pollution level;The application can accurately detect rural water system comprehensively from different depth, different water source data parameters, and can effectively improve the accuracy of water quality detection.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment technology, specifically to a comprehensive rural water system management system and method. Background Technology

[0002] Chinese patent CN203419813U discloses a comprehensive rural environmental management system with good treatment effect, including multiple decentralized sewage treatment ponds, a centralized sewage treatment system, and a domestic waste treatment system. The centralized sewage treatment system includes a sewage collection network composed of multiple sewage collection branch pipes and a sewage collection main pipe, and a sewage treatment system connected to the sewage collection network. The sewage treatment system includes a screen tank, a regulating tank, an anaerobic-aerobic treatment system, and a landscape pond connected in sequence. The domestic waste treatment system includes multiple garbage bins and garbage trucks, as well as a centralized garbage treatment station and harmless treatment equipment. The sewage pipe of the centralized garbage treatment station is connected to the screen tank.

[0003] In existing technologies, since rural water pollution mainly comes from two modes of life: agriculture and domestic life, the question is how to analyze and judge based on the specific characteristics of these two modes, and how to rationally arrange specific sewage treatment solutions according to different pollution sources and pollution levels. Summary of the Invention

[0004] The purpose of this invention is to provide a comprehensive rural water system management system and method to solve the following technical problems: how to analyze and judge the specific characteristics of these two methods, and to rationally arrange specific sewage treatment solutions according to different pollution sources and pollution levels.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A comprehensive rural water system management system includes:

[0007] The water source sampling module takes samples from the water body to obtain test samples, and obtains data parameters of the water source based on the test samples; the data parameters include organic matter content, heavy metal content, and pathogenic microorganism content;

[0008] The water source analysis module performs calculations and analyses based on the data parameters of the water source obtained from the test samples to obtain water source performance data. The water source performance data includes organic matter performance value ZBY, heavy metal performance value ZBJ, and pathogenic microorganism performance value ZBB.

[0009] The water source detection module detects the current water source based on its performance data and obtains water quality signals. These signals include poor water quality signals, medium water quality signals, and excellent water quality signals.

[0010] The governance allocation module acquires pollution performance data based on water quality signals and allocates different governance solutions. The pollution performance data includes the pollution percentage and pollution level.

[0011] As a further aspect of the present invention, the water sampling method is as follows: equal amounts of water are extracted at equal intervals along the height direction to obtain i test water samples.

[0012] As a further aspect of the present invention: through the formula The organic matter performance value ZBY was calculated.

[0013] Through formula The heavy metal performance value ZBJ was calculated.

[0014] Through formula The pathogenic microorganism expression value ZBB was calculated; where a1, a2, a3, a4, a5, and a6 are all proportionality coefficients.

[0015] ZYJ represents the average organic matter content, ZJJ represents the heavy metal content, ZBJ represents the pathogenic microorganism content, CYJ represents the difference in organic matter content, CJJ represents the difference in heavy metal content, and CBJ represents the difference in pathogenic microorganism content.

[0016] As a further aspect of the present invention: through the formula The difference in organic matter content, CYJ, was calculated.

[0017] Through formula The difference in heavy metal content, CJJ, was calculated.

[0018] Through formula The difference in pathogen content CBJ was calculated.

[0019] As a further aspect of the present invention: if the organic matter performance value ZBY, the heavy metal performance value ZBJ, and the pathogenic microorganism performance value ZBB are all greater than or equal to the organic matter performance threshold ZBYy, the heavy metal performance threshold ZBJy, and the pathogenic microorganism performance threshold ZBBy, respectively, then a water quality difference signal is generated.

[0020] As a further aspect of the present invention: if at least one of the organic matter performance value ZBY, the heavy metal performance value ZBJ, and the pathogenic microorganism performance value ZBB is less than the organic matter performance threshold ZBYy, the heavy metal performance threshold ZBJy, and the pathogenic microorganism performance threshold ZBBy, and at least one of the organic matter performance value ZBY, the heavy metal performance value ZBJ, and the pathogenic microorganism performance value ZBB is greater than or equal to the organic matter performance threshold ZBYy, the heavy metal performance threshold ZBJy, and the pathogenic microorganism performance threshold ZBBy, then a medium-level water quality signal is generated.

[0021] As a further aspect of the present invention: pollution performance data includes pollution percentage and pollution level; pollution percentage includes organic matter percentage, heavy metal percentage, and pathogenic microorganism percentage; pollution level includes depth values ​​of maximum organic matter content, maximum heavy metal content, and maximum pathogenic microorganism content.

[0022] As a further aspect of the present invention: different treatment methods include: wastewater treatment agents with different proportions and contents, and wastewater treatment agents with different settling velocities; wherein the wastewater treatment agent is a drug made into a disc shape.

[0023] A method for comprehensive management of rural water systems includes the following steps:

[0024] Step 1: Take samples from the water body to obtain test samples, and obtain data parameters of the water source based on the test samples;

[0025] Step 2: Based on the data parameters of the water source obtained from the test samples, perform calculations and analysis to obtain the water source performance data;

[0026] Step 3: Based on the water source performance data, conduct current detection to obtain water quality signals.

[0027] As a further aspect of the present invention: based on water quality signals, pollution performance data is obtained, and different treatment schemes are allocated.

[0028] The beneficial effects of this invention are:

[0029] (1) This invention analyzes data parameters from different depths and water sources, which can accurately detect rural water systems in a comprehensive manner and effectively improve the accuracy of water source quality detection.

[0030] (2) Based on the different contents of pollution sources in rural water systems and the differences in depth in the water body, the present invention can prepare treatment drugs with different diameter disc structures to effectively and comprehensively treat the pollution of the water body. At the same time, by matching different settling speeds, the treatment of pollution can be more comprehensive and efficient. Attached Figure Description

[0031] The invention will now be further described with reference to the accompanying drawings.

[0032] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0033] Figure 2 This is a system block diagram of Embodiment 2 of the present invention;

[0034] Figure 3 This is a flowchart of Embodiment 3 of the present invention. Detailed Implementation

[0035] 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.

[0036] Example 1

[0037] Please see Figure 1 As shown, the present invention is a comprehensive rural water system management system, comprising:

[0038] The water source acquisition module takes samples from the water body to obtain test samples, and obtains the data parameters of the water source based on the test samples;

[0039] The water sampling method is as follows: equal amounts of water are extracted at equal intervals along the height direction to obtain i test water samples, where i = 1, 2, 3..., i is a positive integer. Preferably, the test water sample located on the water surface is the first test water sample, the test water sample located at the bottom is the i-th test water sample, and i-2 test water samples are set between the water surface and the bottom surface.

[0040] The data parameters include organic matter content, heavy metal content, and pathogenic microorganism content; these values ​​are respectively labeled as ZY. i ZJ i ZB i ;

[0041] The water source analysis module performs calculations and analyses based on the data parameters of the water source obtained from the test samples to obtain water source performance data;

[0042] The calculation and analysis includes weighting the organic matter content, heavy metal content, and pathogenic microorganism content of each tested water sample.

[0043] Water source performance data includes organic matter performance value ZBY, heavy metal performance value ZBJ, and pathogenic microorganism performance value ZBB;

[0044] In some embodiments, the organic matter content value ZY of each tested water sample is obtained. i Heavy metal content value ZJ i Pathogenic microorganism content value ZB i And through the formula The average organic matter content ZYJ was calculated; using the formula... The heavy metal content value ZJJ was calculated using the formula. The pathogen content value ZBJ was calculated.

[0045] At the same time, through the formula The difference in organic matter content, CYJ, was calculated using the formula. The difference in heavy metal content, CJJ, was calculated and then processed using the formula. The difference in pathogen content, CBJ, was calculated.

[0046] The obtained average organic matter content ZYJ, heavy metal content ZJJ, pathogenic microorganism content ZBJ, organic matter content difference CYJ, heavy metal content difference CJJ, and pathogenic microorganism content difference CBJ are then calculated one-to-one. The calculation process is as follows:

[0047] Through formula The organic matter performance value ZBY was calculated.

[0048] Through formula The heavy metal performance value ZBJ was calculated.

[0049] Through formula The pathogenic microorganism expression value ZBB was calculated; where a1, a2, a3, a4, a5, and a6 are all proportionality coefficients, all greater than 0; a1+a2=1, a3+a4=1, a5+a6=1;

[0050] The water source detection module detects the current water source based on its performance data and obtains water quality signals.

[0051] Among them, the water quality signals include poor water quality signals, medium water quality signals, and excellent water quality signals;

[0052] In some embodiments, the water source detection module acquires the organic matter performance value ZBY, the heavy metal performance value ZBJ, and the pathogenic microorganism performance value ZBB, and compares them with the corresponding organic matter performance threshold ZBYy, heavy metal performance threshold ZBJy, and pathogenic microorganism performance threshold ZBBy, respectively.

[0053] If the organic matter performance value ZBY, the heavy metal performance value ZBJ, and the pathogenic microorganism performance value ZBB are all greater than or equal to the organic matter performance threshold ZBYy, the heavy metal performance threshold ZBJy, and the pathogenic microorganism performance threshold ZBBy, respectively, then a water quality difference signal is generated.

[0054] If the organic matter performance value ZBY, the heavy metal performance value ZBJ, and the pathogenic microorganism performance value ZBB are all less than the organic matter performance threshold ZBYy, the heavy metal performance threshold ZBJy, and the pathogenic microorganism performance threshold ZBBy, respectively, then a water quality superiority signal is generated.

[0055] If at least one of the organic matter performance value ZBY, heavy metal performance value ZBJ, and pathogenic microorganism performance value ZBB is less than the organic matter performance threshold ZBYy, heavy metal performance threshold ZBJy, and pathogenic microorganism performance threshold ZBBy, and at least one of the organic matter performance value ZBY, heavy metal performance value ZBJ, and pathogenic microorganism performance value ZBBy is greater than or equal to the organic matter performance threshold ZBYy, heavy metal performance threshold ZBJy, and pathogenic microorganism performance threshold ZBBy, then a medium-level water quality signal is generated.

[0056] The explanations for the poor water quality signal, intermediate water quality signal, and excellent water quality signal are as follows:

[0057] The poor water quality signal is detected by measuring three aspects: organic matter content, heavy metal content, and pathogenic microorganism content. If all three do not meet the water system's compliance requirements, it indicates that the current water quality is highly polluted.

[0058] The intermediate water quality signal is obtained by detecting three aspects: organic matter content, heavy metal content, and pathogenic microorganism content. Some data parameters meet the water system compliance requirements, while others do not, indicating that the current water quality is partially polluted.

[0059] The water quality excellent level signal is obtained by detecting three aspects: organic matter content, heavy metal content, and pathogenic microorganism content. If the data parameters of all three meet the water system compliance requirements, it means that the current water quality is not polluted.

[0060] The technical solution of this invention includes: a water source acquisition module that samples the water body to obtain test samples and acquires water source data parameters based on the test samples; a water source analysis module that performs calculations and analysis based on the water source data parameters acquired from the test samples to obtain water source performance data; and a water source detection module that performs detection based on the water source performance data to obtain water quality signals. This invention analyzes water source data parameters from different depths and can accurately and comprehensively detect rural water systems, effectively improving the accuracy of water source quality detection.

[0061] Example 2

[0062] Please see Figure 2 As shown in Embodiment 1 above, when a water quality signal is obtained in the water source detection module, how to allocate a corresponding treatment plan based on the water source performance data is an urgent problem to be solved. Therefore, this rural water system comprehensive management system also includes:

[0063] The treatment allocation module, based on water quality signals, acquires pollution performance data and allocates different treatment plans:

[0064] The pollution performance data includes pollution percentage and pollution level; pollution percentage includes the percentage of organic matter, heavy metals, and pathogenic microorganisms; pollution level includes the depth value of the maximum organic matter content, the depth value of the maximum heavy metal content, and the depth value of the maximum pathogenic microorganism content.

[0065] Different treatment solutions include: wastewater treatment agents with different proportions and concentrations, and wastewater treatment agents with different settling velocities; among them, the wastewater treatment agents are prepared in the form of discs; while the agents for treating pollutants such as organic matter, heavy metals, and pathogenic microorganisms are existing common technologies and will not be described in detail here.

[0066] In some embodiments, when the governance allocation module obtains a water quality difference signal or a water quality intermediate signal, it calculates the difference between the organic matter performance value ZBY, the heavy metal performance value ZBJ, and the pathogenic microorganism performance value ZBB and the corresponding organic matter performance threshold ZBYy, heavy metal performance threshold ZBJy, and pathogenic microorganism performance threshold ZBBy, respectively, to obtain the organic matter performance difference CZB, the heavy metal performance difference CZBJ, and the pathogenic microorganism performance difference CZBB. Then, it divides these differences by the organic matter performance threshold ZBYy, the heavy metal performance threshold ZBJy, and the pathogenic microorganism performance threshold ZBBy, respectively, to obtain the organic matter percentage BY, the heavy metal percentage BJ, and the pathogenic microorganism percentage BB.

[0067] At the same time, the highest organic matter content value ZY was obtained. i The highest heavy metal content value ZJ i The highest pathogen content value ZB i The corresponding depths are marked with the depth values ​​for maximum organic matter content, maximum heavy metal content, and maximum pathogenic microorganism content.

[0068] The total pollution performance value is obtained by summing the organic matter performance value ZBY, the heavy metal performance value ZBJ, and the pathogenic microorganism performance value ZBB. Based on historical experimental data, the amount of drug added is obtained by plotting the total pollution performance value against the drug addition amount. The amount of drug added is then calculated by plotting the organic matter percentage BY, the heavy metal percentage BJ, and the pathogenic microorganism percentage BB, respectively, to obtain the drug addition amounts for organic matter treatment, heavy metal treatment, and pathogenic microorganism treatment.

[0069] The corresponding organic matter treatment drugs, heavy metal treatment drugs, and pathogenic microorganism treatment drugs are respectively made into disc structures; then, based on the depth values ​​of the maximum organic matter content, the maximum heavy metal content, and the maximum pathogenic microorganism content, the diameters of the organic matter treatment drugs, heavy metal treatment drugs, and pathogenic microorganism treatment drugs in the discs are determined.

[0070] The formula for determination is: The diameters of different drugs were obtained; among them, It is the settling velocity of the particles. It is gravitational acceleration. It is the radius of the particle. It is the density of the particles. It is the density of the liquid. It refers to the viscosity of the liquid; It is the depth value of the maximum organic matter content, the depth value of the maximum heavy metal content, or the depth value of the maximum pathogenic microorganism content; The preset standard settlement time;

[0071] The technical solution of this invention embodiment: a treatment allocation module, based on water quality signals, acquires pollution performance data and allocates different treatment schemes. It can prepare treatment drugs with different diameter disc structures according to the different contents of pollution sources in rural water systems and the differences in depth in the water body, so as to effectively and comprehensively treat the pollution of the water body. At the same time, by coordinating different sedimentation rates, the treatment of pollution is more comprehensive and efficient.

[0072] Example 3

[0073] Please see Figure 3 As shown in Embodiment 2 above, the present invention provides a method for comprehensive management of rural water systems, comprising the following steps:

[0074] Step 1: Take samples from the water body to obtain test samples, and obtain data parameters of the water source based on the test samples;

[0075] Step 2: Based on the data parameters of the water source obtained from the test samples, perform calculations and analysis to obtain the water source performance data;

[0076] Step 3: Based on the water source performance data, conduct current detection to obtain the water quality signal;

[0077] Step 4: Based on water quality signals, obtain pollution performance data and allocate different treatment plans.

[0078] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0079] The foregoing has provided a detailed description of one embodiment of the present invention, but this description 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 claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for comprehensive management of rural water systems, characterized in that, Includes the following steps: Step 1: Take samples from the water body to obtain test samples. Obtain the data parameters of the water source based on the test samples. The water body is sampled in the following way: equal amounts of water are extracted at equal intervals along the height direction to obtain i test water samples. Step 2: Obtain the organic matter content value ZY for each water sample. i Heavy metal content value ZJ i Pathogenic microorganism content value ZB i And through the formula The average organic matter content ZYJ was calculated; using the formula... The heavy metal content value ZJJ was calculated using the formula. The pathogen content value ZBJ was calculated using the formula. The difference in organic matter content, CYJ, was calculated using the formula. The difference in heavy metal content, CJJ, was calculated and then processed using the formula. The difference in pathogen content CBJ is calculated; then, the average organic matter content ZYJ, heavy metal content ZJJ, pathogen content ZBJ, organic matter content difference CYJ, heavy metal content difference CJJ, and pathogen content difference CBJ are calculated one-to-one. The calculation process is as follows: using the formula... The organic matter performance value ZBY was calculated using the formula. The heavy metal performance value ZBJ was calculated using the formula. The pathogenic microorganism expression value ZBB was calculated; where a1, a2, a3, a4, a5, and a6 are all proportionality coefficients, all greater than 0; a1+a2=1, a3+a4=1, a5+a6=1; Step 3: Based on the water source performance data, conduct current detection to obtain water quality signals, which include poor water quality signals, medium water quality signals, and excellent water quality signals. Step 4: When a poor water quality signal or a medium water quality signal is obtained, sum the organic matter performance values ​​ZBY, heavy metal performance values ​​ZBJ, and pathogenic microorganism performance values ​​ZBB to obtain the total pollution performance value. Based on historical experimental data, obtain the drug dosage by using the curve of the total pollution performance value versus the drug dosage. When a poor water quality signal or a medium water quality signal is obtained, calculate the differences between the organic matter performance values ​​ZBY, heavy metal performance values ​​ZBJ, and pathogenic microorganism performance values ​​ZBB and their corresponding organic matter performance thresholds ZBYy, ZBJy, and ZBBy, respectively, to obtain the organic matter performance difference CZB, heavy metal performance difference CZBJ, and pathogenic microorganism performance difference CZBB. Then, calculate the differences between these differences and the organic matter performance thresholds ZBYy, ZBJy, and ZBBy, respectively. Divide BYy, the heavy metal content threshold ZBJy, and the pathogenic microorganism content threshold ZBBy to obtain the proportions of organic matter BY, heavy metals BJ, and pathogenic microorganisms BB. Calculate the drug dosage by dividing each of these proportions to obtain the dosages of organic matter control drugs, heavy metal control drugs, and pathogenic microorganism control drugs. Form the corresponding organic matter control drugs, heavy metal control drugs, and pathogenic microorganism control drugs into disc structures. Then, determine the diameters of the organic matter control drugs, heavy metal control drugs, and pathogenic microorganism control drugs in the discs based on the depth values ​​of the maximum organic matter content, maximum heavy metal content, and maximum pathogenic microorganism content. The formula for this determination is as follows: The diameters of different drugs were obtained; among them, It is the settling velocity of the particles. It is gravitational acceleration. It is the radius of the particle. It is the density of the particles. It is the density of the liquid. It refers to the viscosity of the liquid; It is the depth value of the maximum organic matter content, the depth value of the maximum heavy metal content, or the depth value of the maximum pathogenic microorganism content; This is the preset standard settlement time.

2. The method for comprehensive rural water system management according to claim 1, characterized in that, If the organic matter performance value ZBY, the heavy metal performance value ZBJ, and the pathogenic microorganism performance value ZBB are all greater than or equal to the organic matter performance threshold ZBYy, the heavy metal performance threshold ZBJy, and the pathogenic microorganism performance threshold ZBBy, respectively, then a water quality difference signal is generated.

3. The method for comprehensive rural water system management according to claim 2, characterized in that, If at least one of the organic matter performance value ZBY, heavy metal performance value ZBJ, and pathogenic microorganism performance value ZBB is less than the organic matter performance threshold ZBYy, heavy metal performance threshold ZBJy, and pathogenic microorganism performance threshold ZBBy, and at least one of the organic matter performance value ZBY, heavy metal performance value ZBJ, and pathogenic microorganism performance value ZBBy is greater than or equal to the organic matter performance threshold ZBYy, heavy metal performance threshold ZBJy, and pathogenic microorganism performance threshold ZBBy, then a medium-level water quality signal is generated.

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