Intelligent control system for rural sewage purification

Abstract

The application discloses a rural sewage purification intelligent control system and relates to the technical field of sewage treatment, and solves the technical parameter control problem that the existing sewage treatment system is difficult to perform water treatment and discharge according to specific discharge environments; the system comprises a data processing module, a data acquisition module, a water pump control module and a backflow control module; the data acquisition module is used for acquiring clarification water level information, water quality detection information and ecological environment data; the central processing module generates a water pump control signal according to the clarification water level information; sets an outlet mode according to the water pump control signal; generates a water quality threshold value according to the ecological environment data; generates a backflow control signal according to the water quality detection information and the water quality threshold value; and generates a water quality threshold value according to the ecological environment information, so that the treated and discharged water can adapt to the ecological environment at the current discharge position.

Description

A smart control system for rural sewage purification Technical Field

[0001] This application belongs to the field of wastewater treatment technology, specifically a smart control system for rural wastewater purification. Background Technology

[0002] Residents' daily lives generate a large amount of wastewater. Treating wastewater can protect water quality, safeguard human health, conserve water resources, protect the ecological environment, maintain ecological balance, promote sustainable development, and achieve green ecology. It not only relates to the quality of residents' living environment but also promotes the recycling of local water resources.

[0003] Rural areas account for more than half of the total water pollutant discharge, but village and town-level sewage treatment plants are rare. Existing sewage treatment systems mostly use methods such as activated sludge and biofilm processes, which can effectively treat sewage. However, due to limitations such as geographical environment and economic conditions in rural areas, it is difficult to treat and discharge water according to the specific discharge environment. Therefore, there is a need for an intelligent control system for rural sewage purification that is suitable for rural areas, can autonomously control water intake, and can autonomously regulate water quality, playing an important role in rural environmental protection and ecological construction. Summary of the Invention

[0004] This application aims to solve at least one of the technical problems existing in the prior art; to this end, this application proposes an intelligent control system for rural sewage purification, which solves the technical problem that existing sewage treatment systems are unable to treat and discharge water according to the specific discharge environment. This application solves the above-mentioned problem by setting water quality thresholds through ecological environment information and discharging water according to the water quality thresholds.

[0005] To achieve the above objectives, the first aspect of this application provides an intelligent control system for rural sewage purification, comprising:

[0006] The data processing module, and the data acquisition module, water pump control module and reflux control module connected to it;

[0007] Data acquisition module: Acquires clarified water level information, water quality testing information, and ecological environment data through connected data acquisition equipment; the data acquisition equipment includes a level gauge and a water quality sampling instrument;

[0008] Central processing module: acquires clarified water level information and generates water pump control signals based on the clarified water level information; sets the water discharge mode according to the water pump control signals; acquires ecological environment data and generates water quality thresholds based on the ecological environment data; acquires water quality testing information and generates reflux control signals based on the water quality testing information and water quality thresholds;

[0009] Pump control module: Used to receive pump control signals and control the pumping rate of the pump according to the pump control signals;

[0010] Return control module: Used to receive return control signals and control the return rate according to the return control signals.

[0011] This application generates a water pump control signal based on the clarified water level information, and sets the water discharge mode according to the water pump control signal; it controls the water pump to draw the treated water from the clarification tank into a vertical pulse trickling filter tower, and the water treated by the vertical pulse trickling filter tower flows into a temporary storage tank, obtaining water quality detection information of the water in the temporary storage tank; it obtains ecological environment information of the discharge point, and obtains a water quality threshold based on the ecological environment information, and generates a return flow control signal by comparing the water quality threshold and the water quality detection information; it controls the water in the temporary storage tank to be discharged into the ecological environment and / or returned to the return flow control tank according to the return flow control signal; this application obtains a water quality threshold based on the ecological environment information, so that the treated discharged water can adapt to the ecological environment of the current discharge point, and conducts water treatment and discharge according to the specific discharge environment, avoiding damage to the ecological environment of the discharge point caused by the discharged water quality not meeting the water quality threshold corresponding to the ecological environment of the discharge point, thereby protecting the ecological environment of the discharge point.

[0012] Preferably, the step of generating a water pump control signal based on clarified water level information includes:

[0013] Extract the water level rise rate and current water level from the clarified water level information; determine whether the currently acquired water level information is greater than the water level threshold.

[0014] If yes, a pump start command is generated, and a control command is generated based on the water level rise rate and the current water level generation rate; and the sampling interval is set according to the water level rise rate; wherein, the pump control signal includes a pump start command and a rate control command;

[0015] If not, then set the collection interval according to the water level rise rate; continue to obtain the water level rise rate and current water level from the clarified water level information according to the collection interval, and determine whether the currently obtained water level information is greater than the water level threshold.

[0016] This application determines whether a water pump needs to be started to pump water by measuring the rising rate of the water level in the clarification tank and the current water level, and controls the existing pumping rate; it achieves autonomous control of water intake, making it easy to control the water intake according to the specific conditions in the clarification tank.

[0017] Preferably, the step of setting the sampling interval based on the water level rise rate includes:

[0018] The water level rise rate is denoted as SV; the acquisition interval CT is calculated using the formula CT=α×exp(-(SV / BV-1))×BT; where BV is the standard rise rate; BT is the standard acquisition interval corresponding to the standard rise rate; α is the proportionality coefficient, and 0≤α≤1.

[0019] This application sets the sampling interval by the water level rise rate, and collects data on the water in the clarifier according to the sampling interval. This enables dynamic data collection, which allows the sampling frequency to be changed according to the specific conditions in the clarifier, thereby making the subsequent treatment more suitable for the real-time situation of the clarifier.

[0020] Preferably, the control command based on the water level rise rate and the current water level generation rate...

[0021] The current water level is marked as SW; the drainage rate SP is calculated using the formula SP=[β1×SW / BW+β2×exp(-BV / SV)]×BP; where BW is the highest water level; BP is the maximum drainage rate; β1 and β2 are weighting coefficients, and β1>β2;

[0022] Water level control commands are generated based on the drainage rate SP.

[0023] Preferably, the step of setting the water outlet mode according to the water pump control signal includes:

[0024] Obtain the drainage rate and determine whether the drainage rate is greater than the set jet threshold.

[0025] Yes, then set the water outlet mode to mode two;

[0026] No, then set the water outlet mode to mode one; where the water outlet mode includes mode one and mode two; mode one is to use a regular water outlet for water outlet; mode two is to use a jet water outlet for water outlet.

[0027] This application controls the pumping speed of the water pump by controlling the water level rise rate and the current water level generation rate, so that the water in the clarification tank will not be full due to the water level rising too fast and the pumping speed being too slow, thus making it easier to control the water level in the clarification tank.

[0028] Preferably, the step of generating water quality thresholds based on ecological and environmental data includes:

[0029] Ecological and environmental data are acquired and input into a water quality threshold model to obtain water quality thresholds; the water quality threshold model is trained using an artificial intelligence model.

[0030] The water quality threshold model is obtained through training an artificial intelligence model, including:

[0031] Acquire ecological and environmental data, and integrate several sets of training and testing data with their corresponding treatable water quality standards;

[0032] The artificial intelligence model is trained using training data; the trained artificial intelligence model is tested using validation data; the final result is an input of ecological and environmental data and an output of a predictive model of treatable water quality standards; where treatable water quality standards are denoted as water quality thresholds; the artificial intelligence model includes a BP neural network model or an RBF neural network model; the ecological and environmental data includes environmental type and environmental quality; environmental type includes surface water aquatic environmental functions and protection targets, multi-media wetlands and ecological ponds; environmental quality includes microbial information and physical environmental conditions.

[0033] This application uses a large amount of training data to train an artificial intelligence model to obtain a water quality threshold model, and then uses the water quality threshold model to obtain the water quality threshold of the current drainage site's ecological environment. This makes the obtained water quality threshold more consistent with the ecological environment of the drainage site, which is convenient for subsequent control of drainage and backflow, and thus facilitates the protection of the ecological environment of the drainage site.

[0034] Preferably, the step of generating a reflux control signal based on water quality detection information and water quality thresholds includes:

[0035] Obtain water quality thresholds and water quality testing information; determine whether the standards for each item in the water quality testing information are greater than the corresponding thresholds in the water quality thresholds.

[0036] If yes, a drainage signal will be generated;

[0037] If not, a return flow signal is generated; the return flow control signal includes a drainage signal and a return flow signal.

[0038] This application controls water discharge and backflow by using water quality testing information and water quality thresholds; it avoids damage to the ecological environment at the discharge point caused by the discharged water quality failing to meet the corresponding water quality threshold, thereby protecting the ecological environment at the discharge point.

[0039] Preferably, the data processing module, data acquisition module, water pump control module, and reflux control module are connected to the green power generation module; the green power generation module is used to supply power to the entire wastewater treatment system; the green power generation module includes wind power generation and / or solar power generation, etc.

[0040] This application uses a green power generation module for power supply, which facilitates its use in remote areas.

[0041] It is worth noting that this application also obtains the pretreatment volume per unit time by inputting the water quality testing information of the discharged water, as well as the ecological environment type and area size into the treatment volume threshold model; when the unit discharge volume per unit time is greater than or equal to the pretreatment volume, a return flow control signal is generated. The return flow control signal is used to change the ratio of the unit return flow volume to the unit discharge volume, specifically by increasing the unit return flow volume and decreasing the unit discharge volume, so that the unit discharge volume is less than the pretreatment volume; otherwise, the discharge continues according to the original unit discharge volume.

[0042] This application controls the discharge volume by utilizing the water purification capacity of the drainage point, so that the discharge of treated sewage will not affect the ecological environment of the drainage point due to exceeding the pre-treatment capacity, thereby protecting the ecological environment of the drainage point.

[0043] Compared with the prior art, the beneficial effects of this application are:

[0044] 1. This application generates a water pump control signal by clarifying water level information, sets the water discharge mode according to the water pump control signal; obtains water quality detection information of water in the temporary storage tank; obtains ecological environment information of the discharge point, obtains water quality threshold based on the ecological environment information, and generates a return flow control signal by comparing the water quality threshold and water quality detection information; controls the water in the temporary storage tank to be discharged into the ecological environment and / or returned to the return flow control tank according to the return flow control signal; and performs water treatment and discharge according to the specific discharge environment, so that the treated discharged water can adapt to the ecological environment of the current discharge point.

[0045] 2. This application sets the sampling interval by the water level rise rate, and collects data on the water in the clarifier according to the sampling interval. This enables the application to achieve dynamic data collection, which makes it easier to change the sampling frequency according to the specific conditions in the clarifier, and thus make the subsequent treatment more suitable for the real-time conditions of the clarifier. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 is a schematic diagram of the principle of this application;

[0048] Figure 2 is a flowchart of the method steps of this application;

[0049] Figure 3 is a schematic diagram of the device in this application. Detailed Implementation

[0050] The technical solutions of this application will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0051] Please refer to Figures 1-3. A first aspect of this application provides an intelligent control system for rural sewage purification, comprising:

[0052] The data processing module, and the data acquisition module, water pump control module and reflux control module connected to it;

[0053] Data acquisition module: Acquires clarified water level information, water quality testing information, and ecological environment data through connected data acquisition equipment; the data acquisition equipment includes a level gauge and a water quality sampling instrument;

[0054] Central processing module: acquires clarified water level information and generates water pump control signals based on the clarified water level information; sets the water discharge mode according to the water pump control signals; acquires ecological environment data and generates water quality thresholds based on the ecological environment data; acquires water quality detection information and generates reflux control signals based on the water quality detection information and water quality thresholds; wherein, the clarified water level information includes the water level height and water level rise rate in the clarification tank;

[0055] Pump control module: Used to receive pump control signals and control the pumping rate of the pump according to the pump control signals;

[0056] Return control module: Used to receive return control signals and control the return rate according to the return control signals.

[0057] This application includes a vertical purification device for rural sewage treatment, comprising an anoxic tank, an anaerobic tank, a clarifier, a water pump, a vertical pulse trickling filter, a temporary storage tank, a return water tank, a level gauge, and a water quality sampling instrument.

[0058] This application generates a water pump control signal based on the clarified water level information, and sets the water discharge mode according to the water pump control signal; it controls the water pump to draw the treated water from the clarification tank into a vertical pulse trickling filter tower, and the water treated by the vertical pulse trickling filter tower flows into a temporary storage tank, obtaining water quality detection information of the water in the temporary storage tank; it obtains ecological environment information of the discharge point, and obtains a water quality threshold based on the ecological environment information, and generates a return flow control signal by comparing the water quality threshold and the water quality detection information; it controls the water in the temporary storage tank to be discharged into the ecological environment and / or returned to the return flow control tank according to the return flow control signal; this application obtains a water quality threshold based on the ecological environment information, so that the treated discharged water can adapt to the ecological environment of the current discharge point, and conducts water treatment and discharge according to the specific discharge environment, avoiding damage to the ecological environment of the discharge point caused by the discharged water quality not meeting the water quality threshold corresponding to the ecological environment of the discharge point, thereby protecting the ecological environment of the discharge point.

[0059] Pump control signals are generated based on clarified water level information, including:

[0060] Extract the water level rise rate and current water level from the clarified water level information; determine whether the currently acquired water level information is greater than the water level threshold; the water level threshold is obtained empirically and can be set according to the size of the clarification pond;

[0061] If so, a pump start command is generated, and a control command is generated based on the water level rise rate and the current water level generation rate; and the sampling interval is set according to the water level rise rate; wherein, the pump control signal includes a pump start command and a rate control command;

[0062] If not, then set the collection interval according to the water level rise rate; continue to obtain the water level rise rate and current water level from the clarified water level information according to the collection interval, and determine whether the currently obtained water level information is greater than the water level threshold; the water level rise rate is the amount of water level change in the clarification tank per unit time; the current water level is the water level in the clarification tank at the time of detection.

[0063] This application determines whether a water pump needs to be started to pump water by measuring the rising rate of the water level in the clarification tank and the current water level, and controls the existing pumping rate; it achieves autonomous control of water intake, making it easy to control the water intake according to the specific conditions in the clarification tank.

[0064] This application also includes generating a pump stop command based on the clarified water level information. After the pump starts, the current water level in the clarification tank is obtained in real time, and it is determined whether the current water level is lower than the stop water level threshold. The stop water level threshold is obtained empirically and can be set according to the size of the clarification tank.

[0065] If yes, a pump stop command is generated and sent to the pump control module;

[0066] If not, continue to obtain the real-time current water level and determine whether the current water level is lower than the stop water level threshold.

[0067] This application controls the water volume in the clarification tank by using pump start and stop commands, thus preventing the clarification tank from being too full and thus preventing water from being added to the clarification tank; and preventing the sediment at the bottom of the clarification tank from being stirred up over a large area when water is added due to the water level in the clarification tank being too low.

[0068] The sampling interval is set according to the rate of water level rise, including:

[0069] The water level rise rate is denoted as SV; the sampling interval CT is calculated using the formula CT=α×exp(-(SV / BV-1))×BT; where BV is the standard rise rate; BT is the standard sampling interval corresponding to the standard rise rate; α is the proportionality coefficient, and 0≤α≤1; the standard water level rise rate BV and the standard sampling interval BT are both set empirically and can be set according to the size of the clarifier.

[0070] In this embodiment, the standard acquisition interval BT = 1h, the standard ascent speed BV = 0.2m / h, and the proportionality coefficient α = 0.9 are set.

[0071] The water level rise rate SV = 0.5 m / h was obtained; the sampling interval CT ≈ 0.2 h was calculated using the formula CT = α × exp(-(SV / BV-1)) × BT; that is, the next sampling of water level rise rate and clear water level will be conducted after 0.2 hours.

[0072] This application sets the sampling interval by the water level rise rate, and collects data on the water in the clarifier according to the sampling interval. This enables dynamic data collection, which allows the sampling frequency to be changed according to the specific conditions in the clarifier, thereby making the subsequent treatment more suitable for the real-time situation of the clarifier.

[0073] Control commands are issued based on the rate of water level rise and the current water level generation rate.

[0074] The current water level is marked as SW; the drainage rate SP is calculated using the formula SP=[β1×SW / BW+β2×exp(-BV / SV)]×BP; where BW is the highest water level; BP is the maximum drainage speed; β1 and β2 are weighting coefficients, and β1>β2; the highest water level BW is set according to the height of the clarifier, specifically, it can be set to 90% of the height of the clarifier;

[0075] Water level control commands are generated based on the drainage rate SP.

[0076] In this embodiment, the highest water level BW = 1.5m and the maximum drainage speed BP = 3m are set. 3 / h; β1=0.6; β2=0.4;

[0077] The current water level SW = 1.2m; the drainage rate SP ≈ 2.24m is calculated using the formula SP = [β1 × SW / BW + β2 × exp(-BV / SV)] × BP. 3 / h.

[0078] The water outlet mode is set according to the water pump control signal, including:

[0079] Obtain the drainage rate and determine whether the drainage rate is greater than the set jet threshold; the jet threshold is the maximum injection rate at which water is injected into the vertical pulse trickling filter tower through the conventional outlet;

[0080] If yes, then set the water outlet mode to mode two or a combined mode; the combined mode is mode one plus mode two, that is, using both the conventional outlet and the jet outlet to discharge water simultaneously.

[0081] No, then set the water outlet mode to mode one; where the water outlet mode includes mode one and mode two; mode one is to use a regular water outlet for water outlet; mode two is to use a jet water outlet for water outlet, where the jet water outlet is a regular water outlet with an ejector installed.

[0082] This application controls the pumping speed of the water pump by controlling the water level rise rate and the current water level generation rate, so that the water in the clarification tank will not be full due to the water level rising too fast and the pumping speed being too slow, thus making it easier to control the water level in the clarification tank.

[0083] Water quality thresholds are generated based on ecological and environmental data, including:

[0084] Ecological and environmental data are acquired and input into a water quality threshold model to obtain water quality thresholds; the water quality threshold model is trained using an artificial intelligence model.

[0085] The water quality threshold model is obtained through training an artificial intelligence model, including:

[0086] Acquire ecological and environmental data, and integrate several sets of training and testing data with their corresponding treatable water quality standards;

[0087] The artificial intelligence model is trained using training data; the trained model is then tested using validation data; the final result is an input of ecological and environmental data and an output of a predictive model for treatable water quality standards; where treatable water quality standards are denoted as water quality thresholds; the artificial intelligence model includes either a BP neural network model or an RBF neural network model; the ecological and environmental data includes environmental type and environmental quality; environmental types include surface water body environmental functions and protection targets, multi-media wetlands, and ecological ponds, etc.; surface water body environmental functions and protection targets are classified based on the specific conditions and requirements of surface water bodies, specifically according to the five categories of surface water body environmental functions recorded in the "Surface Water Environmental Quality Standard" (GB3838-2002); environmental quality includes microbial information and physical environmental conditions, etc.

[0088] The specific process of using test data to test the trained artificial intelligence model includes: inputting the ecological environment data from the test data into the trained artificial intelligence model to obtain the corresponding treatable water quality standard output; comparing the treatable water quality standard output with the corresponding treatable water quality standard in the test data; if the difference between the two is within a threshold (the threshold is obtained based on experience), no parameter adjustment is needed, and the next set of test data is tested; if it is not within the threshold, the corresponding parameters are adjusted until the output treatable water quality standard of the corresponding test data is within the threshold, and then the next set of test data is tested. When the number of test data with output treatable water quality standards within the threshold accounts for 95% or more of the total test data, a satisfactory prediction model is obtained, that is, a prediction model with ecological environment data as input and treatable water quality standards as output.

[0089] This application uses a large amount of training data to train an artificial intelligence model to obtain a water quality threshold model, and then uses the water quality threshold model to obtain the water quality threshold of the current drainage site's ecological environment. This makes the obtained water quality threshold more consistent with the ecological environment of the drainage site, which is convenient for subsequent control of drainage and backflow, and thus facilitates the protection of the ecological environment of the drainage site.

[0090] A reflux control signal is generated based on water quality testing information and water quality thresholds, including:

[0091] Obtain water quality thresholds and water quality testing information; determine whether the standards for each item in the water quality testing information are greater than the corresponding thresholds in the water quality thresholds; the water quality thresholds and the testing information contain the same testing items, including pH value, suspended solids, biochemical oxygen demand, ammonia nitrogen, total phosphorus, turbidity, etc.

[0092] If yes, a drainage signal will be generated;

[0093] If not, a reflux signal is generated; the reflux control signal includes a drainage signal and a reflux signal; the water in the reflux pool can flow back into the anoxic pool.

[0094] This application controls water discharge and backflow by using water quality testing information and water quality thresholds; it avoids damage to the ecological environment at the discharge point caused by the discharged water quality failing to meet the corresponding water quality threshold, thereby protecting the ecological environment at the discharge point.

[0095] The data processing module, data acquisition module, water pump control module, and return flow control module are connected to the green power generation module; the green power generation module is used to supply power to the entire wastewater treatment system; the green power generation module includes wind power generation and / or solar power generation, etc.

[0096] This application uses a green power generation module for power supply, which facilitates its use in remote areas.

[0097] The ecological monitoring module is used to detect whether the ecological environment is abnormal. When the area of ​​the ecological environment decreases, the environmental type changes, or the number and types of microorganisms in the environmental quality decrease, the module obtains the current water quality threshold corresponding to the current ecological environment based on the prediction model, and increases the current water quality threshold by 5% to obtain the current water quality threshold. This allows the module to set corresponding water quality thresholds according to changes in the ecological environment, so that the discharged water can adapt to changes in the environment and better protect the environment at the drainage point.

[0098] It is worth noting that this application also obtains the pretreatment volume per unit time by inputting the water quality testing information of the discharged water, as well as the ecological environment type and area size into the treatment volume threshold model; when the unit discharge volume per unit time is greater than or equal to the pretreatment volume, a return flow control signal is generated. The return flow control signal is used to change the ratio of the unit return flow volume to the unit discharge volume, specifically by increasing the unit return flow volume and decreasing the unit discharge volume, so that the unit discharge volume is less than the pretreatment volume; otherwise, the discharge continues according to the original unit discharge volume.

[0099] The processing capacity threshold model is obtained through training an artificial intelligence model, including:

[0100] The data acquisition module obtains the environmental type and area size corresponding to the ecological environment, as well as its corresponding maximum carrying capacity. The maximum carrying capacity is obtained through experience, specifically set based on the environmental type and area size. The environmental type, area size, and corresponding maximum carrying capacity are integrated into several sets of training data and test data.

[0101] The artificial intelligence model is trained using training data; the trained artificial intelligence model is tested using validation data; the final result is a threshold model with the environment type and area size as inputs and the maximum capacity as output; where the maximum capacity is denoted as the preprocessing capacity; the artificial intelligence model includes a BP neural network model or an RBF neural network model; its specific training method is the same as that of the threshold model.

[0102] This application controls the discharge volume by utilizing the water purification capacity of the drainage point, so that the discharge of treated sewage will not affect the ecological environment of the drainage point due to exceeding the pre-treatment capacity, thereby protecting the ecological environment of the drainage point.

[0103] Some of the data in the above formula are calculated by removing dimensions and taking their numerical values. The formula is the closest to the real situation obtained by software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0104] How this application works:

[0105] This application generates a water pump control signal based on the clarified water level information, and sets the water discharge mode according to the water pump control signal; it controls the water pump to draw the treated water from the clarification tank into a vertical pulse trickling filter tower, and the water treated by the vertical pulse trickling filter tower flows into a temporary storage tank, obtaining water quality detection information of the water in the temporary storage tank; it obtains ecological environment information of the discharge point, and obtains a water quality threshold based on the ecological environment information, and generates a return flow control signal by comparing the water quality threshold and the water quality detection information; it controls the water in the temporary storage tank to be discharged into the ecological environment and / or returned to the return flow control tank according to the return flow control signal; this application obtains a water quality threshold based on the ecological environment information, so that the treated discharged water can adapt to the ecological environment of the current discharge point, and conducts water treatment and discharge according to the specific discharge environment, avoiding damage to the ecological environment of the discharge point caused by the discharged water quality not meeting the water quality threshold corresponding to the ecological environment of the discharge point, thereby protecting the ecological environment of the discharge point.

[0106] The above embodiments are only used to illustrate the technical methods of this application and are not intended to limit it. Although this application has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of this application without departing from the spirit and scope of the technical methods of this application.

Claims

1. A smart control system for rural sewage purification, comprising a data processing module, and a data acquisition module, a water pump control module, and a return flow control module connected thereto; characterized in that, include: Data Acquisition Module: Acquires clarified water level information, water quality testing information, and ecological environment data through connected data acquisition devices; these devices include level gauges and water quality acquisition instruments. Central Processing Module: Acquires clarified water level information and generates water pump control signals based on this information; sets the water discharge mode according to the water pump control signals; acquires ecological environment data and generates water quality thresholds based on this data; this includes: acquiring ecological environment data and inputting it into a water quality threshold model to obtain the water quality thresholds; the water quality threshold model is trained using an artificial intelligence model; acquires water quality testing information and generates a reflux control signal based on the water quality testing information and the water quality thresholds; this includes: acquiring water quality thresholds and... Water quality testing information; determining whether the standards for each item in the water quality testing information are greater than the corresponding threshold in the water quality threshold; if yes, a drainage signal is generated; if no, a return signal is generated; the return control signal includes both the drainage signal and the return signal; obtaining the environmental type and area size of the discharge point; inputting the water quality testing information, environmental type, and area size into the treatment volume threshold model to obtain the pretreatment volume per unit time; when the unit drainage volume per unit time is greater than or equal to the pretreatment volume, a return control signal is generated; pump control module: used to receive the pump control signal and control the pumping rate of the pump according to the pump control signal; return control module: used to receive the return control signal and control the return rate according to the return control signal.

2. The intelligent control system for rural sewage purification according to claim 1, characterized in that, The process of generating a water pump control signal based on clarified water level information includes: extracting the water level rise rate and current water level from the clarified water level information; determining whether the currently acquired water level is greater than a water level threshold; if yes, generating a water pump start command and simultaneously controlling the rate of water level rise and current water level generation according to the water level rise rate and current water level generation command; and setting a sampling interval according to the water level rise rate; wherein, the water pump control signal includes a water pump start command and a rate control command; if no, setting a sampling interval according to the water level rise rate; continuing to acquire the water level rise rate and current water level from the clarified water level information according to the sampling interval, and determining whether the currently acquired water level information is greater than a water level threshold.

3. The intelligent control system for rural sewage purification according to claim 2, characterized in that, The step of setting the sampling interval based on the water level rise rate includes: obtaining the water level rise rate as SV; calculating the sampling interval CT using the formula CT=α×exp(-(SV / BV-1))×BT; where BV is the standard rise rate; BT is the standard sampling interval corresponding to the standard rise rate; and α is the proportionality coefficient, and 0≤α≤1.

4. The intelligent control system for rural sewage purification according to claim 2, characterized in that, The current water level is marked as SW based on the water level rise rate and the current water level generation rate control command. The drainage rate SP is calculated using the formula SP=[β1×SW / BW+β2×exp(-BV / SV)]×BP, where BW is the highest water level, BP is the maximum drainage rate, β1 and β2 are weighting coefficients, and β1>β2. The water level control command is generated based on the drainage rate SP.

5. The intelligent control system for rural sewage purification according to claim 1, characterized in that, The step of setting the water outlet mode according to the water pump control signal includes: obtaining the drainage rate and determining whether the drainage rate is greater than the set jet threshold; if yes, then the water outlet mode is set to mode two; if no, then the water outlet mode is set to mode one; wherein, the water outlet mode includes mode one and mode two; mode one is to use a conventional water outlet for water outlet; mode two is to use a jet water outlet for water outlet.

6. The intelligent control system for rural sewage purification according to claim 1, characterized in that, The process of generating water quality thresholds based on ecological and environmental data includes: acquiring ecological and environmental data, inputting the ecological and environmental data into a water quality threshold model to obtain water quality thresholds; wherein, the water quality threshold model is trained using an artificial intelligence model; the training of the water quality threshold model using an artificial intelligence model includes: acquiring ecological and environmental data, and integrating several sets of training data and verification data with the corresponding treatable water quality standards; training the artificial intelligence model using the training data; verifying the trained artificial intelligence model using the verification data; and finally obtaining a prediction model with ecological and environmental data as input and treatable water quality standards as output; wherein, the treatable water quality standards are denoted as water quality thresholds; the artificial intelligence model includes a BP neural network model or an RBF neural network model; the ecological and environmental data includes environmental type and environmental quality; the environmental type includes surface water aquatic environmental functions and protection targets, multi-media wetlands and ecological ponds; the environmental quality includes microbial information and physical environmental conditions.

7. The intelligent control system for rural sewage purification according to claim 1, characterized in that, The data processing module, data acquisition module, water pump control module, and reflux control module are connected to the green power generation module; the green power generation module is used to supply power to the entire wastewater treatment system; the green power generation module includes wind power generation and / or solar power generation.

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