Intelligent community sewage discharge system and method
By simulating the intelligent community sewage discharge system controlled by traffic lights, combined with water storage culverts, liquid level sensors and intelligent dosing, the sewage can be discharged in stages and at staggered times, solving the problems of easy pipe network blockage and impurity handling in traditional systems, and improving sewage treatment efficiency and environmental quality.
Patent Information
- Application Number
- CN202510853686.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-24
- Publication Date
- 2025-09-23
- Estimated Expiration
- 2045-06-24
AI Technical Summary
Traditional residential sewage discharge systems lack intelligent management, resulting in uneven sewage discharge and easy blockage of pipe networks. In particular, there is a significant difference in efficiency between peak and off-peak water usage periods, and the mixing of impurities such as food waste exacerbates the difficulty of pipe network maintenance.
It adopts the control principle of simulated traffic lights, combines water storage tanks and liquid level sensor networks, and intelligently adjusts sewage discharge. It uses an electric gate control system and a central control unit to achieve phased and staggered discharge, and handles impurities through a water quality monitoring system and an intelligent dosing system.
Effectively reduce pipe network siltation, improve sewage discharge efficiency, extend pipe network life, reduce maintenance costs, reduce the generation of odorous substances, reduce the load on sewage treatment plants, and reduce sewage overflow and pipe network corrosion.
Smart Images

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Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of urban sewage treatment, and in particular to a sewage discharge system and method for an intelligent residential area. Background Art
[0002] Traditional residential sewage systems often lack intelligent management, leading to uneven discharge and clogging of pipe networks. This is particularly true during peak and low water usage periods, where sewage discharge efficiency and effectiveness vary significantly. Furthermore, impurities such as food waste enter the sewage system, further complicating pipe network maintenance. Therefore, developing a system that can intelligently regulate sewage discharge and effectively prevent pipe clogging is crucial. Summary of the Invention
[0003] In response to the shortcomings of the background technology, the present invention provides an intelligent community sewage discharge system and method. The system simulates the traffic light control principle and combines the intelligent adjustment of water storage culverts to achieve efficient management of sewage discharge, reduce pipe network siltation, and improve the quality of the community living environment.
[0004] In order to achieve the above object, the present invention adopts the following technical solutions: A first aspect of the present invention provides a smart residential sewage discharge system, comprising: Water storage box culverts at the community drainage outlets: used to temporarily store sewage. At least two box culverts are equipped in front of each drainage outlet to achieve phased discharge; Pipeline network intersection box culvert: installed at key nodes of the sewage network to regulate sewage flow and flow rate; Liquid level sensor network: installed in each culvert to monitor water level changes in real time and communicate with the central control unit; Electric gate control system: used to control the opening and closing of the box culvert gate according to the instructions of the central control unit; Central control unit: responsible for receiving sensor data from the liquid level sensor network, running the control algorithm, and issuing control instructions; Water quality monitoring system: used to monitor sewage water quality parameters in real time; Intelligent dosing system: used to automatically add biological or chemical agents according to water quality monitoring results to promote the decay of impurities.
[0005] Preferably, the water quality parameters include pH value, turbidity, organic matter content, and temperature.
[0006] Preferably, the main structure of the water storage box culvert at the community drainage outlet is constructed of reinforced concrete or high-density polyethylene (HDPE) material.
[0007] The second aspect of the present invention provides a method for discharging sewage from an intelligent residential area, which divides the whole day into segments according to the size of the sewage inflow of the residential area. 、 and There are three time period types. Different emission thresholds are set according to the following formula according to different time periods: ; Where: is the maximum liquid level height of the box culvert (m), t is the time period type (peak / narmal / low); Check in real time whether a box culvert meets the discharge conditions. If the conditions are met and no other box culvert is discharging or preparing to discharge, the current box culvert will be discharged. The discharge trigger conditions are: ; During discharge, the discharge rate is controlled according to the following formula: = ; Where: D is the pipe diameter (m), is the flow coefficient (0< <1), g is the acceleration due to gravity (9.81m / ), is the current liquid level height (m), is the current liquid level height of other box culverts (m), is the maximum liquid level height of other box culverts (m).
[0008] Preferably, in order to improve the flushing effect of the sewage pipe, the method further includes calculating the minimum discharge head height according to the characteristics of the sewage pipe, and discharging the sewage when the box culvert water level is not lower than the minimum discharge head height, specifically including: Calculate the minimum discharge rate to avoid sewage pipe blockage based on pipe characteristics: v_min = K × sqrt(gD); Where: v_min is the minimum effective scour velocity (m / s), K is the scour coefficient (dimensionless), generally ranging from 0.8 to 1.2, g is the acceleration due to gravity (9.81 m / s²), and D is the pipe diameter (m). Calculate the volume of the culvert: V = Q_peak×T_retention×SF; Where: V is the design volume of the box culvert (m³), Q_peak is the peak sewage design flow (m³ / h), T_retention is the design water storage time (h), SF is the safety factor, generally 1.2-1.5; Then calculate the head height required for efficient flushing: H_min= v_min^2 / 2g×L / D×f ; Where: H_min is the required minimum head height (m), v_min is the minimum flow velocity for effective flushing (m / s), g is the acceleration due to gravity (9.81 m / s²), L is the pipe length (m), D is the pipe diameter (m), and f is the pipe friction coefficient, which depends on the pipe type and roughness.
[0009] Preferably, the method further includes calculating an emission priority score, updating an emission queue, and obtaining the next box culvert to be discharged according to the emission priority; specifically, the emission priority score is calculated according to the following formula: = + + ; Where: is the priority score of box culvert i, is the liquid level basic fraction, is the fill rate correction term, is the time correction item; The basic score is calculated using the following formula: ; Where: is the current liquid level height of box culvert i (m), is the maximum liquid level height of box culvert i (m); The fill rate correction term is calculated as follows: ; Where: is the liquid level rising rate of box culvert i (m / s); The time correction term is calculated as follows: ; Where: , is the time interval from the last discharge of box culvert i (s), The timestamp of the last discharge end of box culvert i; The emission queue update rule is: ; Where: Q is the priority-sorted discharge queue, n is the total number of box culverts, and ↓ indicates descending order; The emission decision logic control is: ; Where: For the next box culvert to be discharged, is the set of box culverts being discharged, is the expected discharge duration of box culvert j (s); The emission duration is calculated according to the following formula: ; Where: is the current water storage capacity of box culvert i (m³), is the maximum carrying capacity of the pipeline network (m³ / s).
[0010] Preferably, the process also includes analyzing water quality data, identifying pollutant types, calculating dosages, and executing dosing plans, specifically including: Identify pollutant types according to the pollutant identification model: ; Where: is the severity of organic pollution (0-1), is the severity of oil pollution (0-1), is the severity of sediment pollution (0-1), is the organic matter content (mg / L), is the oil content (mg / L), is the turbidity (NTU).
[0011] Preferably, the following drug suitability judgment matrix is used to analyze and determine the applicable drugs: ; Where: is the practicality of agent j for pollutant i (1 = applicable, 0 = not applicable), is the pH applicable range of agent j, is the temperature applicable range of agent j; Then use the basic drug dosage calculation model to calculate the amount of drug added: ; Where: is the basic dosage of agent j (L), is the volume of the treatment tank (m³), is the basic dosage rate of agent j (L / m³), is the severity of pollutant i, is the correction factor for the pollutant type (organic matter = 1.0, grease = 0.8, sediment = 1.2).
[0012] Preferably, a temperature correction coefficient is introduced to correct the amount of the agent added, specifically: Determine the temperature correction coefficient according to the temperature correction model: ; The calculation model for final dosage of reagents is determined after correction: ; Where: is the final dosage of agent j (L), is the concentration coefficient of agent j (0.05-0.15).
[0013] Preferably, the addition of the agent is controlled according to the following synthetically generated agent addition scheme: ; Where: D is the final dosing plan vector, n is the total number of reagent types, and m is the total number of pollutant types.
[0014] Compared with the prior art, the present invention has the following beneficial effects: The intelligent residential sewage discharge system and method provided by this invention effectively addresses the problem of siltation in residential sewage pipe networks by simulating the control principle of traffic lights and incorporating innovative algorithms such as liquid level monitoring, staggered discharge, and intelligent dosing. While ensuring stable sewage discharge, the system creates a flushing effect through intelligent water storage and release mechanisms, reducing maintenance costs and extending the life of the pipe network. This system effectively minimizes corrosion and damage caused by siltation, extending the service life of the pipe network. It also reduces the production of malodorous substances from anaerobic fermentation caused by siltation, easing the difficulty and cost of subsequent treatment and reducing the load on sewage treatment plants. It also reduces sewage overflows and prevents the generation of malodorous gases such as hydrogen sulfide caused by prolonged sewage retention in the pipe network, resulting in significant economic and environmental benefits. DETAILED DESCRIPTION
[0015] The technical solution of the present invention is further described below with reference to the embodiments.
[0016] A first aspect of the present invention provides a smart residential sewage discharge system, the system comprising: Water storage box culverts at the community drainage outlets: used to temporarily store sewage. At least two box culverts are equipped in front of each drainage outlet to achieve phased discharge; Pipeline network intersection box culvert: installed at key nodes of the sewage network to regulate sewage flow and flow rate; Liquid level sensor network: installed in each culvert to monitor water level changes in real time and communicate with the central control unit; Electric gate control system: used to control the opening and closing of the box culvert gate according to the instructions of the central control unit; Central control unit: responsible for receiving sensor data from the liquid level sensor network, running the control algorithm, and issuing control instructions; Water quality monitoring system: used to monitor sewage water quality parameters in real time, including pH value, turbidity, organic matter content, and temperature; Intelligent dosing system: used to automatically add biological or chemical agents according to water quality monitoring results to promote the decay of impurities.
[0017] The main structure of a box culvert is constructed of reinforced concrete or high-density polyethylene (HDPE). Both materials offer excellent corrosion resistance and structural stability, adapting to diverse geological conditions and environmental requirements. Reinforced concrete box culverts are suitable for large residential areas or areas with poor geological conditions. Their high structural strength allows them to withstand significant ground pressure and sewage impact. During construction, strict adherence to concrete construction specifications is required to ensure the concrete's strength and density. Anti-corrosion treatment should be applied to both the interior and exterior surfaces of the reinforced concrete box culvert to extend its service life.
[0018] HDPE box culverts are suitable for small and medium-sized communities or areas with good geological conditions. HDPE material has excellent chemical stability and corrosion resistance, is easy to install, and has a short construction period. HDPE box culverts use a socket joint method, which provides excellent sealing performance and effectively prevents sewage leaks.
[0019] The volume of the box culvert is designed based on factors such as the size of the community, sewage flow and rainwater runoff, and can generally be designed between 5-20 cubic meters.
[0020] Liquid level sensors are a crucial component of box culverts, used to monitor water level changes within the culvert in real time and transmit this data to a central control unit. The selection and installation location of liquid level sensors are crucial to the accuracy and reliability of the monitoring data.
[0021] Selection: Liquid level sensors can be either ultrasonic or pressure-type. Ultrasonic level sensors measure liquid levels by transmitting and receiving ultrasonic signals, offering advantages such as non-contact measurement, high accuracy, and easy installation. Pressure-type level sensors infer liquid levels by measuring liquid pressure, making them suitable for harsh environments and high-precision measurement requirements.
[0022] Installation Location: The level sensor should be installed in a suitable location within the culvert to avoid direct impact from the sewage flow and the effects of foam. It is usually installed on the side or top of the culvert, at a certain height from the bottom, to ensure that the measurement data accurately reflects the actual liquid level within the culvert.
[0023] Calibration and Maintenance: Regularly calibrate the level sensor to ensure accurate measurement data. Calibration intervals vary depending on the sensor's accuracy and operating environment, but are typically performed quarterly or semi-annually. Also, regularly clean the sensor surface to prevent impurities and dirt from the wastewater from adhering to the sensor and affecting measurement performance.
[0024] Water quality sensors are used to monitor various sewage quality parameters in real time, such as pH, turbidity, organic matter content, and temperature. These parameters provide a basis for decision-making in the intelligent dosing system, ensuring the effectiveness of sewage treatment.
[0025] Select the appropriate water quality detection sensor based on monitoring needs. For example, a pH sensor is used to measure the acidity and alkalinity of sewage, a turbidity sensor is used to measure the content of suspended solids in sewage, an organic matter sensor is used to monitor the concentration of organic matter in sewage, and a temperature sensor is used to measure the temperature of sewage.
[0026] Water quality detection sensors should be installed in appropriate locations within the culvert to ensure adequate contact with the sewage and accurate measurement of water quality parameters. They are typically installed in locations with relatively stable sewage flow to avoid being affected by water flow and foam.
[0027] Water quality sensors transmit measured data to a central control unit via wired or wireless communication. The central control unit processes and analyzes the data, determines whether dosing is necessary based on preset water quality standards and treatment requirements, and controls the operation of the intelligent dosing system.
[0028] The control system is the central nervous system of the smart community sewage system, responsible for coordinating and managing the operation of the entire system. It consists of a central controller, communication module, power supply system, and human-computer interface.
[0029] In some embodiments, a communication module is also included, which is responsible for data transmission and communication between the central controller and various sensors and actuators. The communication module supports multiple communication methods, such as 4G / 5G wireless communication, WiFi wireless LAN, and wired network. The appropriate communication method is selected based on the site environment and requirements to ensure the stability and reliability of data transmission. The data transmission protocol uses standard communication protocols such as Modbus and TCP / IP to ensure compatibility and interoperability between devices. During the data transmission process, encryption technology is used to ensure data security and integrity.
[0030] As another preferred embodiment of the present invention, this embodiment provides a method for discharging sewage from an intelligent residential area, which divides the whole day into segments according to the size of the sewage inflow of the residential area. 、 and There are three time period types. Different emission thresholds are set according to the following formula according to different time periods: ; Where: is the maximum liquid level height of the box culvert (m), t is the time period type (peak / narmal / low); Check in real time whether a box culvert meets the discharge conditions. If the conditions are met and no other box culvert is discharging or preparing to discharge, the current box culvert will be discharged. The discharge trigger conditions are: ; During discharge, the discharge rate is controlled according to the following formula: = ; Where: D is the pipe diameter (m), is the flow coefficient (0< <1), g is the acceleration due to gravity (9.81m / ), is the current liquid level height (m), is the current liquid level height of other box culverts (m), is the maximum liquid level height of other box culverts (m).
[0031] The above embodiment sets the liquid level control threshold based on water usage patterns at different time periods. For example, the liquid level threshold during peak hours is set to 50% of the maximum culvert level, or 1.0 meter; during off-peak hours it is set to 65%, or 1.3 meters; and during off-peak hours it is set to 75%, or 1.5 meters.
[0032] During control, the central control unit reads the current liquid level data and compares it with the set threshold. For example, when the liquid level in culvert A reaches 1.3 meters, the central control unit determines that the current period is off-peak and the liquid level has reached the threshold, so it issues a command to open the electric gate to discharge water.
[0033] The liquid level control threshold is adaptively adjusted based on historical liquid level data and weather forecasts. For example, before the rainy season arrives, the system predicts a possible increase in sewage volume and lowers the liquid level threshold in advance, freeing up the box culvert capacity in advance.
[0034] In some preferred discharge methods, in order to improve the flushing effect of the sewage pipe, the method further includes the step of calculating the minimum discharge head height according to the characteristics of the sewage pipe, and discharging when the box culvert water level is not lower than the minimum discharge head height, specifically including: Calculate the minimum discharge rate to avoid sewage pipe blockage based on pipe characteristics: v_min = K × sqrt(gD); Where: v_min is the minimum effective scour velocity (m / s), K is the scour coefficient (dimensionless), generally ranging from 0.8 to 1.2, g is the acceleration due to gravity (9.81 m / s²), and D is the pipe diameter (m). Calculate the volume of the culvert: V = Q_peak×T_retention×SF; Where: V is the design volume of the box culvert (m³), Q_peak is the peak sewage design flow (m³ / h), T_retention is the design water storage time (h), SF is the safety factor, generally 1.2-1.5; Then calculate the head height required for efficient flushing: H_min= v_min^2 / 2g×L / D×f ; Where: H_min is the required minimum head height (m), v_min is the minimum flow velocity for effective flushing (m / s), g is the acceleration due to gravity (9.81 m / s²), L is the pipe length (m), D is the pipe diameter (m), and f is the pipe friction coefficient, which depends on the pipe type and roughness.
[0035] In the above embodiment, the optimal water storage height design can be determined. Based on the formula for calculating the water head required for efficient flushing, the minimum water head required for effective flushing for different pipe diameters can be calculated. For example, for a DN300 pipe, assuming the gravitational acceleration g is 9.81 m / s², the required minimum flow velocity v_min is 0.85 m / s, the pipe length L is 100 meters, and the friction coefficient f is 0.02, the minimum water head height H_min is calculated as: H_min = (v_min²) / (2g) × (L / D) × f = (0.85²) / (2×9.81) × (100 / 0.3)× 0.02 ≈ 0.05 meters; Water storage height setting: The optimal water storage height is determined based on the calculated minimum head height and the culvert's liquid level control threshold. For example, if the maximum liquid level of the culvert is 2 meters and the minimum head height is 0.05 meters, the water storage height should be at least 0.05 meters to ensure sufficient flushing force during discharge.
[0036] In some optional emission control logics, the emission priority score is calculated, the emission queue is updated, and the next box culvert to be discharged is obtained according to the emission priority. Specifically, the emission priority score is calculated according to the following formula: = + + ; Where: is the priority score of box culvert i, is the liquid level basic fraction, is the fill rate correction term, is the time correction item; The basic score is calculated using the following formula: ; Where: is the current liquid level height of box culvert i (m), is the maximum liquid level height of box culvert i (m); The fill rate correction term is calculated as follows: ; Where: is the liquid level rising rate of box culvert i (m / s); The time correction term is calculated as follows: ; Where: , is the time interval from the last discharge of box culvert i (s), The timestamp of the last discharge end of box culvert i; The emission queue update rule is: ; Where: Q is the priority-sorted discharge queue, n is the total number of box culverts, and ↓ indicates descending order; The emission decision logic control is: ; Where: For the next box culvert to be discharged, is the set of box culverts being discharged, is the expected discharge duration of box culvert j (s); The emission duration is calculated according to the following formula: ; Where: is the current water storage capacity of box culvert i (m³), is the maximum carrying capacity of the pipeline network (m³ / s).
[0037] In the above example, a discharge priority calculation has been added, as explained below. For example, culvert A has a liquid level of 1.5 meters, a filling rate of 0.2 cubic meters / hour, and a last discharge time of 2024-5-1 8:00:00; culvert B has a liquid level of 1.2 meters, a filling rate of 0.3 cubic meters / hour, and a last discharge time of 2024-5-1 7:00:00.
[0038] Calculate the priority score of each box culvert according to the priority score calculation formula. Assuming a weight of 50% for the liquid level ratio, 30% for the filling rate, and 20% for the time since the last discharge, the priority score for box culvert A is (1.5 / 2) × 50% + 0.2 × 30% + (2024 - 5 - 1 10:00:00 - 2024 - 5 - 1 8:00:00) / (24 × 3600) × 20% = 0.375 + 0.06 + 0.0278 = 0.4628. The priority score for box culvert B is (1.2 / 2) × 50% + 0.3 × 30% + (2024 - 5 - 1 10:00:00 - 2024 - 5 - 1 7:00:00) / (24 × 3600) × 20% = 0.3 + 0.09 + 0.0417 = 0.4317.
[0039] The box culverts are sorted by priority score, with higher priority discharged first. For example, box culvert A has a higher priority than box culvert B, so the gate of box culvert A is opened first to discharge.
[0040] The discharge priority calculation is primarily used to facilitate staggered discharges. It takes into account factors such as the liquid level percentage, fill rate, and time since last discharge to calculate a discharge priority score for each box culvert. For example, a box culvert with a liquid level percentage of 70%, a fill rate of 0.4 cubic meters per hour, and a time since last discharge of three hours might have a priority score of 80.
[0041] Emission Queue Generation: All box culverts are sorted from high to low by priority score to form an emission queue. For example, if there are three box culverts A, B, and C with priority scores of 80, 70, and 60, respectively, their emission order is A→B→C.
[0042] During the discharge process, the system continuously monitors the changes in pipe network pressure and the liquid level of each box culvert, and dynamically adjusts the discharge queue. For example, if the liquid level of box culvert B rises rapidly to a higher priority during the discharge process of box culvert A, the system will re-evaluate and adjust the discharge order.
[0043] In some preferred embodiments, the steps of analyzing water quality data, identifying pollutant types, calculating dosage of the drug, and executing the dosing plan are further included, specifically including: Identify pollutant types according to the pollutant identification model: ; Where: is the severity of organic pollution (0-1), is the severity of oil pollution (0-1), is the severity of sediment pollution (0-1), is the organic matter content (mg / L), is the oil content (mg / L), is turbidity (NTU); The following drug suitability judgment matrix is used to analyze and determine the applicable drugs: ; Where: is the practicality of agent j for pollutant i (1 = applicable, 0 = not applicable), is the pH applicable range of agent j, is the applicable temperature range of agent j; Then use the basic drug dosage calculation model to calculate the amount of drug added: ; Where: is the basic dosage of agent j (L), is the volume of the treatment tank (m³), is the basic dosage rate of agent j (L / m³), is the severity of pollutant i, is the correction factor for the pollutant type (organic matter = 1.0, grease = 0.8, sediment = 1.2).
[0044] The purpose of the above-described embodiment is to monitor wastewater quality parameters in real time using sensors such as pH, turbidity, organic matter content, and temperature. For example, if the pH sensor detects a pH of 6.5, the turbidity sensor detects a turbidity of 45 NTU, and the organic matter sensor detects an organic matter content of 220 mg / L, the system can preliminarily determine that the wastewater may be mildly contaminated with organic matter. Based on the identified pollutant type, the most appropriate treatment agent is selected from a pre-set reagent library. For example, for wastewater containing a high amount of organic matter, a bio-enzyme preparation is selected; for wastewater containing a large amount of suspended solids, a flocculant is selected. Finally, the required dosage of the agent is calculated based on the wastewater flow rate and pollutant concentration. For example, assuming a wastewater flow rate of 20 cubic meters per hour, an organic matter content of 220 mg / L, and a dosage of 0.4 kg / m3 of bio-enzyme preparation, the hourly dosage is 20 × 0.4 = 8 kg.
[0045] In other preferred embodiments, a temperature correction coefficient is introduced to correct the amount of the agent added, specifically: Determine the temperature correction coefficient according to the temperature correction model: ; The final calculation model for the dosage of the reagent is determined after correction: ; Where: is the final dosage of agent j (L), is the concentration coefficient of agent j (0.05-0.15).
[0046] Preferably, the addition of the agent is controlled according to the following synthetically generated agent addition scheme: ; Where: D is the final dosing plan vector, n is the total number of reagent types, and m is the total number of pollutant types.
[0047] In the above embodiment, water quality data-driven agent selection and dosage rules are added. For example, the system analyzes water quality monitoring data and assumes that the organic matter content in the sewage is measured to be 300 mg / L, the turbidity is 50 NTU, and the pH is 7.0 at a certain moment. According to the preset rules, when the organic matter content exceeds 200 mg / L, a bioenzyme preparation is selected for treatment; when the turbidity exceeds 30 NTU, a flocculant is selected. Assuming that the dosage of the bioenzyme preparation is 0.5 kg / m3, the dosage of the flocculant is 0.2 kg / m3, and the current sewage flow rate is 10 cubic meters / hour, the dosage of the bioenzyme preparation per hour is 5 kg, and the dosage of the flocculant is 2 kg.
[0048] Evaluations of this invention in practical applications have shown that it can reduce pipe network desilting and maintenance costs. This system and reservoir discharge method can reduce desilting frequency by 50%-70%, effectively minimizing corrosion and damage to pipe networks caused by siltation, and extending pipe network service life. It also reduces the production of malodorous substances from anaerobic fermentation caused by siltation, lowering the difficulty and cost of subsequent treatment and reducing the load on sewage treatment plants. It also reduces sewage overflows and prevents the generation of malodorous gases such as hydrogen sulfide caused by prolonged sewage retention in pipe networks. Compared to traditional mechanical desilting, it also reduces energy consumption by over 60%.
[0049] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions of the present invention, and all of these should be included in the scope of the claims of the present invention.
Claims
1. A smart community sewage discharge system, characterized in that: include: Water storage box culverts at the community drainage outlets: used to temporarily store sewage. At least two box culverts are equipped in front of each drainage outlet to achieve phased discharge; Pipeline network intersection box culvert: installed at key nodes of the sewage network to regulate sewage flow and flow rate; Liquid level sensor network: installed in each culvert to monitor water level changes in real time and communicate with the central control unit; Electric gate control system: used to control the opening and closing of the box culvert gate according to the instructions of the central control unit; Central control unit: responsible for receiving sensor data from the liquid level sensor network, running the control algorithm, and issuing control instructions; Water quality monitoring system: used to monitor sewage water quality parameters in real time; Intelligent dosing system: used to automatically add biological or chemical agents according to water quality monitoring results to promote the decay of impurities.
2. The intelligent residential sewage discharge system according to claim 1, characterized in that: The main structure of the water storage box culvert at the community drainage outlet is constructed with reinforced concrete or high-density polyethylene (HDPE) materials.
3. The intelligent residential sewage discharge system according to claim 1, characterized in that: The water quality parameters include pH value, turbidity, organic matter content, and temperature.
4. The discharge method of the intelligent community sewage discharge system according to claim 1 is characterized in that: According to the sewage inflow rate of the community, the whole day is divided into 、 and There are three time period types. Different emission thresholds are set according to the following formula according to different time periods: ; Where: is the maximum liquid level height of the box culvert (m), t is the time period type (peak / narmal / low); Check in real time whether a box culvert meets the discharge conditions. If the conditions are met and no other box culvert is discharging or preparing to discharge, the current box culvert will be discharged. The discharge trigger conditions are: ; During discharge, the discharge rate is controlled according to the following formula: = ; Where: D is the pipe diameter (m), is the flow coefficient (0< <1), g is the acceleration due to gravity (9.81m / ), is the current liquid level height (m), is the current liquid level height of other box culverts (m), is the maximum liquid level height of other box culverts (m).
5. A smart community sewage discharge method according to claim 4, characterized in that: In order to improve the flushing effect of the sewage pipe, the step of calculating the minimum discharge head height according to the characteristics of the sewage pipe is also included, and the box culvert water level is discharged when it is not lower than the minimum discharge head height, specifically including: Calculate the minimum discharge rate to avoid sewage pipe blockage based on pipe characteristics: v_min = K × sqrt(gD); Where: v_min is the minimum effective scour velocity (m / s), K is the scour coefficient (dimensionless), generally ranging from 0.8 to 1.2, g is the acceleration due to gravity (9.81 m / s²), and D is the pipe diameter (m). Calculate the volume of the culvert: V = Q_peak×T_retention×SF; Where: V is the design volume of the box culvert (m³), Q_peak is the peak sewage design flow (m³ / h), T_retention is the design water storage time (h), SF is the safety factor, generally 1.2-1.5; Then calculate the head height required for efficient flushing: H_min= v_min^2 / 2g×L / D×f ; Where: H_min is the required minimum head height (m), v_min is the minimum flow velocity for effective flushing (m / s), g is the acceleration due to gravity (9.81 m / s²), L is the pipe length (m), D is the pipe diameter (m), and f is the pipe friction coefficient, which depends on the pipe type and roughness.
6. A method for discharging sewage from an intelligent residential area according to claim 4, characterized in that: It also includes calculating the emission priority score, updating the emission queue, and obtaining the next box culvert to be discharged according to the emission priority; specifically, the emission priority score is calculated according to the following formula: = + + ; Where: is the priority score of box culvert i, is the liquid level basic fraction, is the fill rate correction term, is the time correction item; The basic score is calculated using the following formula: ; Where: is the current liquid level height of box culvert i (m), is the maximum liquid level height of box culvert i (m); The fill rate correction term is calculated as follows: ; Where: is the liquid level rising rate of box culvert i (m / s); The time correction term is calculated as follows: ; Where: , is the time interval from the last discharge of box culvert i (s), The timestamp of the last discharge end of box culvert i; The emission queue update rule is: ; Where: Q is the priority-sorted discharge queue, n is the total number of box culverts, and ↓ indicates descending order; The emission decision logic control is: ; Where: For the next box culvert to be discharged, is the set of box culverts being discharged, is the expected discharge duration of box culvert j (s); The emission duration is calculated according to the following formula: ; Where: is the current water storage capacity of box culvert i (m³), is the maximum carrying capacity of the pipeline network (m³ / s).
7. The method for discharging sewage from an intelligent residential area according to claim 4, characterized in that: The process also includes analyzing water quality data, identifying pollutant types, calculating dosage, and executing a dosing plan, wherein pollutant types are identified according to a pollutant identification model: ; Where: is the severity of organic pollution (0-1), is the severity of oil pollution (0-1), is the severity of sediment pollution (0-1), is the organic matter content (mg / L), is the oil content (mg / L), is the turbidity (NTU).
8. The method for discharging sewage from an intelligent residential area according to claim 7, characterized in that: The following drug suitability judgment matrix is used to analyze and determine the applicable drugs: ; Where: is the practicality of agent j for pollutant i (1 = applicable, 0 = not applicable), is the pH applicable range of agent j, is the applicable temperature range of agent j; Then use the basic drug dosage calculation model to calculate the amount of drug added: ; Where: is the basic dosage of agent j (L), is the volume of the treatment tank (m³), is the basic dosage rate of agent j (L / m³), is the severity of pollutant i, is the correction factor for the pollutant type (organic matter = 1.0, grease = 0.8, sediment = 1.2).
9. The method for discharging sewage from an intelligent residential area according to claim 8, characterized in that: It also includes the introduction of a temperature correction coefficient to correct the amount of reagent added, specifically: Determine the temperature correction coefficient according to the temperature correction model: ; The final calculation model for the dosage of the reagent is determined after correction: ; Where: is the final dosage of agent j (L), is the concentration coefficient of agent j (0.05-0.15).
10. The method for discharging sewage from an intelligent residential area according to claim 9, characterized in that: Control the addition of reagents according to the following synthetically generated reagent dosing plan: ; Where: D is the final dosing plan vector, n is the total number of reagent types, and m is the total number of pollutant types.
Citation Information
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