Resource utilization system for water conservancy sewage recovery

Abstract

The invention relates to the technical field of water treatment, in particular to a resource utilization system for water conservancy sewage recovery, which comprises a flow velocity gradient regulation and control module, a high-temperature cracking resource conversion module, a byproduct fine separation module, a membrane surface electric field purification module and a resource closed-loop recovery module. According to the present invention, by dynamically regulating the sewage sedimentation flow velocity gradient, improving the suspended particle sedimentation rate, optimizing the partition plate and guide plate parameters, accurately setting the sedimentation path, improving the solid-liquid separation efficiency, setting the cracking cavity temperature control parameter based on the separated material components, maintaining the efficient cracking temperature, and improving the output of the combustible gas and the chemical raw material; by combining the gas molecular mass characteristics, optimizing the rotating speed and the condensing temperature of the separation device, improving the purity of byproducts, accurately guiding pollutant migration by applying the electric field gradient, enhancing the removal rate, reducing the filtering burden, optimizing the resource recovery path, improving the recovery integrity and the reuse rate, and realizing efficient purification and cyclic utilization of water resources.

Description

Technical Field

[0001] The present invention relates to the technical field of water treatment, and particularly to a resource utilization system for the recycling of water conservancy sewage. Background Art

[0002] The technical field of water treatment includes a series of technologies for purifying, separating, recycling, and reusing water bodies. The core content of this technical field includes sewage treatment, wastewater recycling, seawater desalination, and water resource recycling. Water treatment technologies are widely applied to various water bodies such as industrial wastewater, domestic sewage, and agricultural drainage. Pollutants are removed through various physical, chemical, and biological methods, useful substances are recycled, and water resources are recycled. Water treatment technologies involve solid-liquid separation, removal of dissolved pollutants, organic matter degradation, and water quality regulation, mainly including processes such as sedimentation, filtration, adsorption, redox, biodegradation, membrane separation, and evaporation concentration. Through combination and optimization, efficient treatment and resource recycling of different types of sewage are achieved, aiming to save water resources and reduce environmental pollution.

[0003] Among them, the resource utilization system for the recycling of water conservancy sewage refers to a system that effectively utilizes the recyclable resources in the sewage generated in water conservancy projects and related fields through a series of physical, chemical, and biological treatment means. This system mainly covers technical matters such as sewage collection, pollutant separation, resource extraction, and water quality purification. The system collects sewage uniformly through a water collection pipeline and a regulating tank, and then uses processes such as sedimentation, flotation, and filtration to separate impurities such as solid suspended matter and floating oil. Dissolved pollutants are removed through chemical precipitation, electrolysis, adsorption, etc., and available resources such as phosphorus, nitrogen, and other nutrient elements or industrial raw materials such as heavy metals are extracted. The system also further purifies the water quality through biodegradation or membrane separation technology, so that the treated water body meets the reuse or discharge standards, thereby realizing the resource utilization of sewage.

[0004] In the prior art during the sewage treatment process, solid-liquid separation relies on a fixed sedimentation structure, lacking fine regulation of the flow velocity gradient, resulting in uneven sedimentation effects of particles with different densities and particle sizes, affecting the efficiency of solid-liquid separation. In the resource extraction link, due to the relatively single temperature control method, the cracking reaction is affected by temperature fluctuations, resulting in large fluctuations in the yield of target products and affecting the stability of resource recovery. During the separation process of by-products, the separation mechanism of gas and liquid resources lacks fine regulation for different molecular weight components, resulting in low purity of by-products and affecting the subsequent recycling value. In the pollutant purification link, the electric field action mode is relatively fixed, making it difficult to accurately adjust for different types of pollutants, reducing the adaptability of water quality purification. The resource recovery path lacks a flexible adjustment mechanism, resulting in low recovery rates of some high-value resources and affecting the economy and sustainability of the overall sewage resource utilization. Summary of the Invention

[0005] In order to solve the technical problems in the prior art during the sewage treatment process, where solid-liquid separation relies on fixed sedimentation structures, lacks fine regulation of the flow velocity gradient, resulting in uneven sedimentation effects of particles with different densities and particle sizes, affecting the efficiency of solid-liquid separation. In the resource extraction link, due to the relatively single temperature control method, the cracking reaction is affected by temperature fluctuations, resulting in large fluctuations in the yield of target products and affecting the stability of resource recovery. In the by-product separation process, the separation mechanism of gas and liquid resources lacks fine regulation for components with different molecular weights, resulting in low purity of by-products and affecting the subsequent recycling value. In the pollutant purification link, the electric field action mode is relatively fixed, making it difficult to accurately adjust for different types of pollutants, reducing the adaptability of water quality purification. The resource recovery path lacks a flexible adjustment mechanism, resulting in low recovery rates of some high-value resources and affecting the economy and sustainability of the overall sewage resource utilization. The embodiments of the present invention provide a resource utilization system for water conservancy sewage recovery. The technical solutions are as follows:

[0006] On the one hand, a resource utilization system for water conservancy sewage recovery is provided, and the system includes:

[0007] The flow velocity gradient regulation module calculates the sedimentation rate of suspended particles based on the sewage sedimentation tank information, determines whether each area is in the sedimentation optimization interval, calls the opening degree of the partition board and the angle parameters of the guide board, adjusts the flow velocity gradient, screens the sedimentation path, and obtains the optimized sewage solid-liquid separation value;

[0008] The high-temperature cracking resource conversion module calls the temperature control data of the cracking chamber based on the optimized sewage solid-liquid separation value, sets the temperature range, determines whether the temperature meets the cracking conditions, adjusts the heating power, and obtains the amount of combustible gas and chemical raw materials;

[0009] The by-product fine separation module calculates the separation rate based on the amount of combustible gas and chemical raw materials, calls the gas molecular weight, adjusts the rotation speed of the gas separation device and the condensation adsorption temperature, and obtains the amount of recoverable gas and liquid resources;

[0010] The membrane surface electric field purification module adjusts the electric field gradient and direction based on the amount of recoverable gas and liquid resources, combines the concentration of charged pollutants and the electric field strength data, controls the pollutant migration rate, and obtains the purification degree of reclaimed water;

[0011] The resource closed-loop recovery module extracts the types and quality data of the recovered resources based on the purification degree of reclaimed water, adjusts the by-product recovery path, and obtains the total amount of sewage resource circular recovery.

[0012] As a further solution of the present invention, the optimized sewage solid-liquid separation value includes the sedimentation rate of suspended particles, the sedimentation optimization range, and the sedimentation path selection; the combustible gas and chemical raw material quantity includes the combustible gas production, the chemical raw material production, and the pyrolysis temperature range; the recyclable gas and liquid resource quantity includes the types of recyclable gases, the types of recyclable liquid resources, and the separation purity; the purification degree of reclaimed water includes the pollutant removal rate, the electric field intensity, and the water quality purification level; the total amount of recycled sewage resources includes the categories of recycled resources, the total amount of recycled resources, and the recycling utilization rate.

[0013] As a further solution of the present invention, the flow velocity gradient regulation module includes:

[0014] The flow velocity data analysis sub-module extracts the flow velocity data, particle size, density, and viscosity based on the sewage sedimentation tank information, calculates the fluid resistance according to the viscosity data, judges the matching situation between the sedimentation rate and the flow velocity data, and obtains the sedimentation rate interval of suspended particles;

[0015] The sedimentation path screening sub-module calls the sedimentation rate interval of suspended particles, compares the particle sedimentation rate with the flow velocity in each area, judges whether it is in the sedimentation optimization interval, screens the areas that meet the sedimentation requirements, and obtains the sedimentation path selection result;

[0016] The baffle diversion regulation sub-module adjusts the opening degree of the baffle and the angle of the diversion plate based on the sedimentation path selection result, calculates the adjustment angle of the baffle, and matches the flow velocity gradient with the sedimentation path to obtain the optimized sewage solid-liquid separation value.

[0017] As a further solution of the present invention, the adjustment angle of the baffle adopts the formula:

[0018]

[0019] where, θ represents the adjustment angle of the baffle, V i represents the flow velocity of the i-th area, V avg represents the average flow velocity of the area, A i represents the force-bearing area of the baffle in the i-th area, α i represents the inclination angle of the diversion plate in the i-th area, and n represents the number of partitions.

[0020] As a further solution of the present invention, the high-temperature pyrolysis resource conversion module includes:

[0021] The temperature range setting sub-module extracts the temperature control data of the pyrolysis chamber based on the optimized sewage solid-liquid separation value, sets the target temperature range, calculates the deviation between the current temperature and the target range, judges whether the deviation exceeds the threshold range, determines the adjustment requirement, and obtains the temperature deviation value of the pyrolysis chamber;

[0022] The cracking condition judgment sub-module calls the temperature deviation value of the cracking chamber, compares the temperature range with the cracking conditions, judges whether the current temperature meets the cracking requirements, and obtains the cracking temperature judgment result;

[0023] The heating power regulation sub-module calls the cracking temperature judgment result, adjusts the heating power, controls the temperature of the cracking chamber, identifies the conversion amounts of combustible gas and chemical raw materials, and obtains the amounts of combustible gas and chemical raw materials.

[0024] As a further solution of the present invention, the by-product fine separation module includes:

[0025] The separation rate calculation sub-module, based on the amounts of combustible gas and chemical raw materials, calls the gas molecular mass, identifies the movement rate of gas molecules per unit time, combines the target separation concentration threshold, evaluates the rate range that meets the gas separation conditions, and obtains the target component separation rate after adjusting the numerical deviation;

[0026] The rotation speed adjustment sub-module, based on the target component separation rate, compares the set rotation speed range of the device, screens the optimal rotation speed, corrects the rotation speed of the device, and obtains the adjusted rotation speed value of the separation device;

[0027] The condensation adsorption control sub-module calls the adjusted rotation speed value of the separation device, identifies the condensation adsorption temperature adjustment amount, sets the condensation temperature, and obtains the amounts of recyclable gas and liquid resources.

[0028] As a further solution of the present invention, the membrane surface electric field purification module includes:

[0029] The pollutant rate measurement sub-module, based on the amounts of recyclable gas and liquid resources, extracts the charged pollutant concentration, combines the electric field strength data, identifies the rate of pollutant migration on the membrane surface per unit time, screens the rate range that meets the purification requirements, and obtains the pollutant migration rate after adjusting the pollutant migration rate deviation;

[0030] The electric field gradient adjustment sub-module, according to the pollutant migration rate, identifies the membrane surface electric field gradient adjustment amount, compares the current gradient value, corrects the electric field gradient, and obtains the optimized electric field gradient value;

[0031] The electric field direction regulation sub-module calls the optimized electric field gradient value, analyzes the adjustment amplitude of the electric field direction, calculates the electric field direction deviation value, corrects the membrane surface electric field direction, adjusts the pollutant migration path, and obtains the purification degree of the reclaimed water.

[0032] As a further solution of the present invention, the electric field direction deviation value adopts the formula:

[0033]

[0034] wherein, E d represents the electric field direction deviation value, Ek,x represents the electric field component in the x - direction at the k - th position, \(E_{kx}\) k,y represents the electric field component in the y - direction at the k - th position, \(E_{ky}\) k,z represents the electric field component in the z - direction at the k - th position, m represents the total number of positions for electric field measurement, and k represents the serial number of the measurement point.

[0035] As a further aspect of the present invention, the resource closed - loop recycling module includes:

[0036] The resource extraction sub - module, based on the reclaimed water purification degree value, calls the concentration data of recyclable substances in the sewage, identifies the mass of recyclables, screens out substances with high recycling value, and obtains the types and mass data of recycled resources;

[0037] The recycling path optimization sub - module calls the types and mass data of the recycled resources, screens out resource categories with low recovery rates, adjusts the recycling path, calculates the recycling path optimization coefficient, and obtains the total amount of recycled sewage resources.

[0038] As a further aspect of the present invention, the recycling path optimization coefficient adopts the formula:

[0039]

[0040] where \(L\) r represents the recycling path optimization coefficient, \(R_{t}\) s represents the theoretical recovery amount of the screened resource categories with low recovery rates, \(R_{c}\) c represents the current recovery amount of the screened resource categories with low recovery rates, \(Q_{in}\) in represents the total flow rate of sewage resources entering the recycling process, \(Q_{out}\) out represents the total flow rate of sewage resources leaving the recycling process, \(\beta\) represents the path adjustment factor for recycling, \(\rho_{w}\) w represents the average density of sewage resources, \(\rho_{r}\) s represents the average density of the screened resource categories with low recovery rates.

[0041] The beneficial effects brought by the technical solutions provided in the embodiments of the present invention at least include:

[0042] By optimizing the dynamic regulation of the flow velocity gradient during the sewage sedimentation process, the sedimentation rate of suspended particles is increased. Through parameter adjustment of the baffle and deflector, the sedimentation path is made more precise, and the efficiency of solid-liquid separation is improved. Based on the material components after solid-liquid separation, the temperature control parameters of the cracking chamber are set so that the cracking temperature is always in the efficient range, enhancing the output of combustible gas and chemical raw materials. Combining the characteristics of gas molecular mass, the rotation speed of the separation device and the condensation adsorption temperature are optimized to achieve fine separation of by-products, improving the purity and quality of the recycled resources. In the subsequent purification process, combining the charge characteristics of pollutants, the electric field gradient and direction are precisely adjusted to guide the migration trajectory of pollutants, improving the removal rate of pollutants and reducing the burden on the subsequent filtration process. Through the precise extraction of the types and quality of recycled resources, the resource recycling path is optimized, improving the integrity and reuse rate of resource recycling, and forming a stable water resource recycling mode. The overall treatment logic makes the sewage treatment process more precise and controllable, reducing energy consumption, improving the separation purity of target substances and the recycling efficiency, and realizing the efficient purification and resource utilization of water resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0044] Figure 1 It is a schematic diagram of a resource utilization system for water conservancy sewage recycling provided by an embodiment of the present invention;

[0045] Figure 2 It is a schematic diagram of the system framework of the present invention;

[0046] Figure 3 It is a flowchart for obtaining the flow velocity gradient regulation module in the present invention;

[0047] Figure 4 It is a flowchart for obtaining the high-temperature cracking resource conversion module in the present invention;

[0048] Figure 5 It is a flowchart for obtaining the by-product fine separation module in the present invention;

[0049] Figure 6 It is a flowchart for obtaining the membrane surface electric field purification module in the present invention;

[0050] Figure 7 It is a flowchart for obtaining the resource closed-loop recycling module in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] The technical solutions in the present invention will be described below with reference to the accompanying drawings.

[0052] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as an "example" in the present invention should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of the word "example" is intended to present concepts in a specific manner. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two.

[0053] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same. "(of)", "corresponding", and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same.

[0054] In the embodiments of the present invention, sometimes subscripts such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meanings they express are the same.

[0055] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0056] The embodiments of the present invention provide a resource utilization system for water conservancy sewage recycling, as Figure 1-2 shown in the schematic diagram of the resource utilization system for water conservancy sewage recycling. The system includes:

[0057] The flow velocity gradient regulation module calculates the sedimentation rate of suspended particles based on the sewage sedimentation tank information, including flow velocity data, particle size, density, and viscosity, determines whether each area is in the sedimentation optimization interval, calls the opening degree of the partition plate and the angle parameters of the guide plate, adjusts the flow velocity gradient, screens the sedimentation path, and obtains the optimized sewage solid-liquid separation value;

[0058] The high-temperature pyrolysis resource conversion module sets the temperature range based on the optimized sewage solid-liquid separation value, calls the temperature control data of the pyrolysis chamber, determines whether the temperature meets the pyrolysis conditions, adjusts the heating power, and obtains the amounts of combustible gas and chemical raw materials;

[0059] The by-product fine separation module calculates the separation rate based on the amounts of combustible gas and chemical raw materials, calls the gas molecular mass, adjusts the rotation speed of the gas separation device and the condensation adsorption temperature, and obtains the amounts of recoverable gas and liquid resources;

[0060] Based on the recyclable gas and liquid resources, the membrane surface electric field purification module adjusts the electric field gradient and direction by combining the charged pollutant concentration and electric field strength data, controls the pollutant migration rate, and obtains the purification degree of reclaimed water;

[0061] Based on the purification degree of reclaimed water, the resource closed-loop recycling module extracts the types and quality data of recycled resources, analyzes the recovery rate, adjusts the by-product recovery path, and obtains the total amount of sewage resource circular recycling.

[0062] Optimizing the sewage solid-liquid separation values includes the sedimentation rate of suspended particles, the sedimentation optimization range, and the sedimentation path selection. The amounts of combustible gas and chemical raw materials include the production of combustible gas, the production of chemical raw materials, and the cracking temperature range. The amounts of recyclable gas and liquid resources include the types of recyclable gas, the types of recyclable liquid resources, and the separation purity. The purification degree of reclaimed water includes the pollutant removal rate, the electric field action intensity, and the water quality purification level. The total amount of sewage resource circular recycling includes the categories of recycled resources, the total amount of recycled resources, and the recycling utilization rate.

[0063] Specifically, as Figure 2 、 3 shown, the flow rate gradient regulation module includes:

[0064] The flow rate data analysis sub-module extracts the flow rate data, particle size, density, and viscosity based on the sewage sedimentation tank information, calculates the fluid resistance according to the viscosity data, judges the matching situation between the sedimentation rate and the flow rate data, and obtains the sedimentation rate range of suspended particles;

[0065] First, collect the original data in the collection tank, including the flow rate, particle size, density, and viscosity. For the flow rate data, use a flow meter to measure and record the flow rate values at different positions and times. The particle size is obtained through a microscope or particle size analyzer, the density is calculated by a densitometer or the buoyancy method, and the viscosity is obtained through a viscometer. The obtained data are stored in the database, and the data are classified and sorted through the database management system to facilitate subsequent analysis. Next, calculate the resistance of the fluid based on the viscosity data, using the Newtonian fluid resistance formula F = 6πηrv, where η represents the viscosity of the fluid, r is the radius of the particle, and v is the particle velocity. By calculating the resistance of different particles, evaluate their sedimentation behavior in the fluid, and then judge whether the sedimentation rate matches the flow rate data according to the fluid resistance and flow rate data. If not, adjust the data acquisition parameters or re-conduct the experimental measurement to ensure the accuracy of the data. Finally, obtain the sedimentation rate range of suspended particles. This range is the speed range of the particles from the start of movement to complete sedimentation in the current environment, providing basic data for the subsequent sedimentation path screening.

[0066] The sedimentation path screening sub-module calls the sedimentation rate range of suspended particles, compares the particle sedimentation rate with the flow velocity in each area, determines whether it is in the sedimentation optimization range, screens the areas that meet the sedimentation requirements, and obtains the sedimentation path selection result;

[0067] According to the sedimentation rate range, compare the flow velocities in different areas, adopt the data comparison analysis method, write a comparison algorithm, compare the actual flow velocity data of each area with the sedimentation rate range. If the area flow velocity is within the rate range, it indicates that the flow velocity in this area is conducive to particle sedimentation, and this area is marked as the sedimentation optimization range. Subsequently, screen out all the areas marked as the optimization range, and conduct further detailed analysis on the areas, including the uniformity of flow velocity, the uniformity of particle distribution, etc., to ensure that the selected areas are indeed suitable for particle sedimentation. Finally, obtain the areas that meet the sedimentation requirements, that is, the sedimentation path selection result. This result identifies the optimal sedimentation path, guides the next partition baffle diversion regulation operation, and ensures that particles can settle to the bottom of the pool in the shortest time, reducing the impact of suspended particles on water quality.

[0068] The partition baffle diversion regulation sub-module adjusts the opening degree of the partition baffle and the angle of the diversion plate based on the sedimentation path selection result, calculates the adjustment angle of the partition baffle, matches the flow velocity gradient with the sedimentation path, and obtains the optimized sewage solid-liquid separation value;

[0069] The adjustment angle of the partition baffle adopts the formula:

[0070]

[0071] Among them, θ represents the adjustment angle of the partition baffle, V i represents the flow velocity of the i-th area, V avg represents the average flow velocity of the area, A i represents the force-bearing area of the partition baffle in the i-th area, α i represents the inclination angle of the diversion plate in the i-th area, and n represents the number of partitions;

[0072] This formula is used to calculate the adjustment angle θ of the partition baffle to optimize the solid-liquid separation effect in the sewage treatment process. The specific acquisition methods of the parameters in the formula are as follows:

[0073] V i : The flow velocity of the i-th area. By arranging flow velocity sensors in the sewage treatment equipment, the flow velocity data of each area is monitored in real time. For example, at a certain moment, the flow velocities measured in four areas are: V1 = 0.8m / s, V2 = 1.0m / s, V3 = 1.2m / s, V4 = 0.9m / s;

[0074] V avg : The average flow velocity of all areas. According to the monitored flow velocity data, calculate the average value:

[0075] A i : The force-bearing area of the baffle in the i-th region. According to the design dimensions of the baffle, calculate the force-bearing area of each region. For example, assuming the width of the baffle in each region is 0.5 m and the height is 1.0 m, then the force-bearing area of each region is: A i = 0.5 m × 1.0 m = 0.5 m² 2 ;

[0076] α i : The inclination angle of the flow guide plate in the i-th region, which is measured by the angle sensor of the device. For example, the measured inclination angles of the four regions are: α1 = 30°, α2 = 45°, α3 = 60°, α4 = 30°;

[0077] Substitute the above data into the formula to calculate the baffle adjustment angle θ:

[0078]

[0079] Calculate the value of each term:

[0080] The first term: |0.8 - 0.975| × 0.5 × cos30° = 0.175 × 0.5 × 0.866 = 0.0757;

[0081] The second term: |1.0 - 0.975| × 0.5 × cos45° = 0.025 × 0.5 × 0.707 = 0.0088;

[0082] The third term: |1.2 - 0.975| × 0.5 × cos60° = 0.225 × 0.5 × 0.5 = 0.0563;

[0083] The fourth term: |0.9 - 0.975| × 0.5 × cos30° = 0.075 × 0.5 × 0.866 = 0.0325;

[0084] Add the values: 0.0757 + 0.0088 + 0.0563 + 0.0325 = 0.1733;

[0085] The total force-bearing area is:

[0086] Therefore, the baffle adjustment angle θ is:

[0087] This result indicates that the baffle needs to be adjusted by approximately 4.96° to match the flow rate differences in each region and optimize the solid-liquid separation effect of the sewage.

[0088] Specifically, as Figure 2 、 4 shown, the high-temperature pyrolysis resource conversion module includes:

[0089] The temperature range setting sub-module extracts the temperature control data of the cracking chamber based on the optimized sewage solid-liquid separation value, sets the target temperature range, calculates the deviation between the current temperature and the target range, determines whether the deviation exceeds the threshold range, determines the adjustment requirement, and obtains the temperature deviation value of the cracking chamber.

[0090] Obtain the optimized sewage solid-liquid separation value, which is an index of the solid-liquid separation efficiency during the cracking process. Next, extract the actual temperature control data in the cracking chamber, which involves reading the current temperature value recorded by the temperature sensor from the control system. Then, set the target temperature range, which is preset according to the cracking efficiency and material characteristics, for example, set to 200°C to 250°C, aiming to ensure the effective progress of the chemical reaction without causing thermal decomposition of the material. Then, calculate the deviation between the current temperature and the target range, which is obtained through simple arithmetic operations. For example, if the current temperature is 205°C and the lower limit of the target range is 200°C, the deviation is 5°C. Then, determine whether the deviation exceeds the preset threshold range. If the deviation exceeds the threshold, such as ±10°C, it indicates that adjustment is needed. Finally, determine the adjustment requirement according to the judgment result, such as turning on the heating or cooling system, and obtain the temperature deviation value of the cracking chamber. This value is the basis for subsequent adjustment measures to ensure that the cracking process is carried out at the optimal temperature, thereby guaranteeing product quality and safety.

[0091] The cracking condition judgment sub-module calls the temperature deviation value of the cracking chamber, compares the temperature range with the cracking conditions, and determines whether the current temperature meets the cracking requirements to obtain the cracking temperature judgment result.

[0092] First, evaluate the actual temperature in the cracking chamber according to the temperature deviation value. The evaluation is completed by comparing the deviation value with the target temperature range. For example, if the deviation value is -15°C and the target range is 200°C to 250°C, the actual temperature is 185°C. Next, compare the actual temperature with the temperature range required for the cracking reaction to determine whether the current temperature meets the optimized cracking requirements. If the required temperature is 220°C to 240°C and the actual temperature is lower than this range, it is further determined that the current conditions do not meet the cracking requirements. Finally, obtain the cracking temperature judgment result, which is the basis for whether to further adjust the temperature of the cracking chamber to ensure the efficiency and safety of the reaction.

[0093] The heating power regulation sub-module calls the cracking temperature judgment result, adjusts the heating power, controls the temperature of the cracking chamber, identifies the conversion amount of combustible gas and chemical raw materials, and obtains the amount of combustible gas and chemical raw materials.

[0094] First, obtain the temperature status of the current cracking chamber based on the cracking temperature determination result. If the cracking temperature determination result shows that the temperature is too low, the heating power needs to be increased. During the adjustment process, it is achieved by modifying the power output setting of the heating system. For example, increase the heating power from the current 1500W to 1800W to raise the temperature of the cracking chamber. After the adjustment, the system will continuously monitor the temperature change to ensure that the temperature reaches the standard required for the cracking reaction. At the same time, control the temperature of the cracking chamber to prevent safety problems caused by overheating. Finally, identify the conversion amount of combustible gas and chemical raw materials generated during the reaction, which is completed through the analysis of the gas composition after the reaction and quantitative analysis, obtaining the amount of combustible gas and chemical raw materials, providing a basis for further process control and safety monitoring.

[0095] Specifically, as Figure 2 、 5 shown, the by-product fine separation module includes:

[0096] The separation rate calculation sub-module, based on the amount of combustible gas and chemical raw materials, calls the gas molecular mass, identifies the gas molecular movement rate per unit time, combines the target separation concentration threshold, evaluates the rate range that meets the gas separation conditions, and after adjusting the numerical deviation, obtains the target component separation rate;

[0097] First, obtain the mass data of combustible gas and chemical raw materials, read the parameters such as gas concentration, pressure, and volume collected by the sensor, and calculate its total mass in combination with the molar mass of the gas. For example, given that the gas molecular mass M = 28g / mol, volume V = 10L, pressure P = 1atm, and temperature T = 300K, then calculate the amount of gas substance n = PV / RT through the ideal gas state equation PV = nRT, where R is the universal gas constant 0.0821L·atm / (mol·K). Substitute the data to get n = (1×10) / (0.0821×300)≈0.41mol, and then calculate the mass m = nM = 0.41×28≈11.48g. Subsequently, identify the gas molecular movement rate per unit time, which is calculated using the gas movement rate formula v = √(3RT / M), where R is the gas constant, T is the temperature, and M is the molecular mass. Assuming the cracking chamber temperature is 500K, calculate v≈√(3×8.314×500 / 28)≈456.8m / s. Next, combine the target separation concentration threshold to determine the rate range that meets the gas separation conditions. Assuming the target concentration threshold is set at 90%, screen the gas with a gas movement rate in the range of 450m / s to 480m / s for separation, and adjust the rate data deviation. For example, if the current rate is 456.8m / s and the target rate is 460m / s, then adjust the deviation value by 3.2m / s. Finally, obtain the target component separation rate, providing reference data for subsequent rotational speed adjustment.

[0098] The rotational speed adjustment sub-module, based on the target component separation rate, compares the set rotational speed range of the device, selects the optimal rotational speed, corrects the rotational speed of the device, and obtains the adjusted rotational speed value of the separation device;

[0099] First, determine the rotational speed of the current device, read the rotational speed sensor data of the rotary separation device. Assume the current set rotational speed is 3000 rpm. Next, compare the set rotational speed range of the device to determine whether adjustment is needed. If the optimal separation rotational speed range allowed by the device is from 2800 rpm to 3200 rpm, then the current rotational speed of 3000 rpm is within this range. Further calculate the gas separation effect corresponding to different rotational speeds, select the optimal rotational speed. For example, through experimental data analysis, it is found that the gas separation efficiency is the highest at 3100 rpm, then correct the rotational speed of the device to 3100 rpm. During the correction process, call the motor control system to adjust the voltage and frequency to make the rotational speed stable at 3100 rpm. Finally, obtain the adjusted rotational speed value of the separation device to ensure that the gas separation efficiency meets the process requirements.

[0100] The condensation adsorption control sub-module calls the adjusted rotational speed value of the separation device, identifies the adjustment amount of the condensation adsorption temperature, sets the condensation temperature, and obtains the amount of recoverable gas and liquid resources;

[0101] First, identify the adjustment amount of the condensation adsorption temperature, obtain the current condensation temperature. For example, the temperature detected by the sensor of the condenser is 50°C. Subsequently, calculate the required condensation temperature for adjustment. Assume the target temperature is set to 20°C, then calculate the temperature adjustment range of the cooling system ΔT = 50 - 20 = 30°C. During the adjustment process, call the refrigeration system, control the cooling rate by adjusting the refrigerant flow rate, set the final condensation temperature to 20°C, monitor the gas condensation state, calculate the volume of the recoverable gas and the proportion converted into liquid resources. For example, the proportion of the combustible gas converted into liquid resources after condensation is 80%. Assume the initial gas volume is 10 L, then the volume of the recoverable liquid resources is 10×0.8 = 8 L. Finally, obtain the amount of recoverable gas and liquid resources, providing a basis for subsequent storage and utilization.

[0102] Specifically, as Figure 2 、 6 shown, the membrane surface electric field purification module includes:

[0103] The pollutant rate determination sub-module, based on the amount of recoverable gas and liquid resources, extracts the concentration of charged pollutants, combines with the electric field strength data, identifies the rate of pollutant migration on the membrane surface per unit time, selects the rate range that meets the purification requirements, and adjusts the deviation of the pollutant migration rate to obtain the pollutant migration rate;

[0104] First, extract the total amounts of recyclable gas and liquid resources from the monitoring system. For example, the total gas amount is 1000L and the liquid resource amount is 500L. Then measure the concentration of charged pollutants in them. For example, conductivity measurement shows that the concentration is 0.1g / L. Next, combine the electric field strength data, which is usually provided by an electric field strength meter. Assume the current reading is 200V / m. Use the formula v = μE to calculate the migration rate of the pollutants, where μ is the mobility of the pollutants (assumed to be 1.5mm^2 / (V·s)) and E is the electric field strength. We get v = 1.5×200 = 300mm / s. Then screen the rate range that meets the purification requirements. Assume the purification process requires the migration rate to be not lower than 250mm / s and not exceed 350mm / s. Screen based on this range and adjust the deviation of the pollutant migration rate. If the current rate is low, for example 290mm / s, adjust it to 320mm / s by enhancing the electric field strength. Finally, obtain the pollutant migration rate, providing an accurate data basis for the subsequent adjustment of the electric field gradient.

[0105] The electric field gradient adjustment sub-module identifies the adjustment amount of the electric field gradient on the membrane surface according to the pollutant migration rate, compares it with the current gradient value, corrects the electric field gradient, and obtains the optimized electric field gradient value.

[0106] First, identify the current electric field gradient value on the membrane surface. For example, detect the current gradient as 150V / m through an electric field sensor. Compare the current electric field gradient value according to the pollutant migration rate requirement. Use theoretical calculation to confirm that the ideal gradient should be 180V / m to optimize the migration rate. The process of correcting the electric field gradient involves adjusting the power supply output or configuring the electrode spacing. For example, adjust the power supply output from 200V to 230V, or adjust the electrode spacing to increase the gradient. Correct the electric field gradient through a real-time monitoring and feedback control system. The calculated new gradient value accurately reflects the state after the electric field adjustment. Finally, obtain the optimized electric field gradient value to ensure the maximization of the pollutant migration efficiency and avoid material damage or safety risks that may be caused by too high an electric field strength.

[0107] The electric field direction regulation sub-module calls the optimized electric field gradient value, analyzes the adjustment amplitude of the electric field direction, calculates the electric field direction deviation value, corrects the electric field direction on the membrane surface, adjusts the pollutant migration path, and obtains the degree of reclaimed water purification.

[0108] The electric field direction deviation value is calculated using the formula:

[0109]

[0110] where, E d represents the electric field direction deviation value, E k,x represents the electric field component in the x-direction at the k-th position, E k,y represents the electric field component in the y-direction at the k-th position, E k,zrepresents the electric field component in the z - direction at the k - th position, m represents the total number of positions for electric field measurement, and k represents the serial number of the measurement point;

[0111] Electric field direction deviation value E d The calculation of involves the electric field components at multiple measurement points. The components are measured at different positions by high - precision electric field sensors. The total number of measurement points is m = 100. The electric field components E k,x , E k,y and E k,z represent the electric field intensities in the x, y, and z directions respectively. The values are obtained by three - axis electric field sensors arranged at each measurement point, and the unit is volts per meter (V / m);

[0112] Assume that at the first measurement point (k = 1), the measured electric field components are:

[0113] E 1,x = 150V / m, E 1,y = 145V / m, E 1,z = 10V / m;

[0114] For this measurement point, the calculation steps are as follows:

[0115] Calculate the absolute value of the difference between the x and y components: |E 1,x - E 1,y | = |150 - 145| = 5V / m;

[0116] Calculate the average value of the x and y components:

[0117] Calculate the square root of the sum of squares:

[0118]

[0119] Calculate the comprehensive value of this measurement point:

[0120]

[0121] Repeat the above calculation for all 100 measurement points to obtain the comprehensive value of each measurement point. Add up the comprehensive values and find the average value to get the electric field direction deviation value E d , assuming that the sum of the comprehensive values of all measurement points is 15000V / m;

[0122] Then:

[0123] This result shows that the average direction deviation of the electric field at each measurement point is 150V / m. The value is used to correct the direction of the electric field on the membrane surface, thereby adjusting the migration path of pollutants and ultimately improving the purification degree of reclaimed water.

[0124] Specifically, such asFigure 2 , 7 As shown in and

[0125] , the resource closed-loop recycling module includes:

[0125] The resource extraction sub-module, based on the reclaimed water purification degree value, calls the recoverable material concentration data in the sewage, identifies the mass of the recyclables, screens out the materials with high recycling value, and obtains the types and mass data of the recycled resources;

[0126] First, obtain the purification degree data of the reclaimed water. For example, the data obtained through the water quality monitoring system shows that the purification degree is 95%. This data is obtained by continuously monitoring the material concentration and separation efficiency in the sewage treatment process. Then, call the recoverable material concentration data in the sewage, which is provided by on-line analytical instruments such as mass spectrometers or chromatographs and can accurately measure the chemical components and their concentrations in the water. For example, the concentration of a certain recyclable is 2mg / L. Then, identify the mass of the recyclables in the data and use the mass calculation formula m = cV, where c is the concentration and V is the water volume. If the total amount of sewage treated is 1000L, then the mass of the recyclables is 2mg / L × 1000L = 2000mg or 2g. Subsequently, screen out the materials with high recycling value, depending on the analysis of market value and recycling cost. For example, select heavy metals and rare chemical substances as high-value recycling targets because of their high value in industrial applications and high recycling difficulty. Finally, obtain the types and mass data of the recycled resources, which provides an accurate reference for further resource recycling and utilization, ensuring that the economic benefits and environmental protection effects of the resource recycling process are maximized.

[0127] The recycling path optimization sub-module calls the types and mass data of the recycled resources, screens out the resource categories with low recovery rates, adjusts the recycling path, calculates the recycling path optimization coefficient, and obtains the total amount of recycled sewage resources;

[0128] The recycling path optimization coefficient is calculated using the formula:

[0129]

[0130] where L r represents the recycling path optimization coefficient, R s represents the theoretical recovery amount of the resource categories with low recovery rates screened out, R c represents the current recovery amount of the resource categories with low recovery rates screened out, Q in represents the total flow rate of the sewage resources entering the recycling, Q out represents the total flow rate of the sewage resources leaving the recycling, β represents the path adjustment factor for recycling, ρ w represents the average density of the sewage resources, ρ s represents the average density of the resource categories with low recovery rates screened out;

[0131] In the sewage resource recovery system, optimizing the recovery path is crucial for improving the resource recovery rate. The above formula is used to calculate the recovery path optimization coefficient L r , to guide the adjustment of the recovery path;

[0132] L r (Recovery path optimization coefficient): An index measuring the degree of recovery path optimization. The higher the value, the better the path optimization effect;

[0133] R s (Theoretical maximum recovery of the selected low-recovery-rate resource categories): By analyzing the components of various resources in the sewage, determine the maximum amount of a specific resource that can be recovered under ideal conditions. This value can be obtained through laboratory analysis and literature data;

[0134] R c (Current recovery of the selected low-recovery-rate resource categories): In actual operation, the amount of a specific resource recovered from the sewage. This data can be obtained in real time through on-line monitoring equipment;

[0135] Q in (Total flow of sewage resources entering the recovery system): The total amount of sewage entering the recovery system, which can be measured by installing a flow meter at the inlet;

[0136] Q out (Total flow of sewage resources leaving the recovery system): The total amount of sewage leaving the recovery system, which can be measured by installing a flow meter at the outlet;

[0137] β (Path adjustment factor of the recovery system): A coefficient used to characterize the difficulty of adjusting the recovery path. This value is determined according to factors such as the complexity of the system, pipeline layout, and historical adjustment data, and fluctuates between 0.8 and 1.2;

[0138] ρ w (Average density of sewage resources): The average density of sewage, which can be obtained by regular sampling measurement, about 1000 kg / m3;

[0139] ρ s (Average density of the selected low-recovery-rate resource categories): The average density of a specific resource, which can be obtained by laboratory determination or referring to relevant literature data;

[0140] Determine the values of each parameter:

[0141] Through laboratory analysis, determine the theoretical maximum recovery R of a specific resource s is 500 kg / day;

[0142] Through on-line monitoring, the current recovery R c is 300 kg / day;

[0143] Install flow meters at the inlet and outlet respectively, and measure Q in to be 2000 m3 / day, and Q out to be 1950 m3 / day;

[0144] According to the system complexity and historical data, determine that the path adjustment factor β is 1.0;

[0145] Through sampling measurement, the average density ρ of the sewage w is 1000 kg / m3;

[0146] Refer to the reference data, the average density ρ of a specific resource s is 1200 kg / m3;

[0147] Substitute the measured values into the formula:

[0148] Calculate the values of each part:

[0149] Calculate the absolute value of the difference in recovery amount: |500 - 300| = 200;

[0150] Calculate the square root of the flow product:

[0151] Calculate the density difference: 1000 - 1200 = -200;

[0152] Substitute the calculation results into the formula:

[0153] The calculation result L r ≈ -10.87 indicates that there are unreasonable points in the current recovery path, resulting in low recovery efficiency. The negative value prompts that the recovery path needs to be adjusted to improve the resource recovery rate. It should be noted that the numerical value of the recovery path optimization coefficient L r should be analyzed in combination with the design and operation parameters of the specific system. In actual applications, a reasonable L r threshold should be determined according to the system characteristics and operation data to guide the optimization and adjustment of the recovery path.

[0154] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A resource utilization system for water conservancy wastewater recovery, characterized in that: The system comprises: The velocity gradient control module calculates the sedimentation rate of suspended particles based on the sewage sedimentation tank information, determines whether each area is in the sedimentation optimization range, calls the opening and closing degree of the partition and the angle parameters of the guide plate, adjusts the velocity gradient, screens the sedimentation path, and obtains the optimized sewage solid-liquid separation value; The high-temperature cracking resource conversion module calls the temperature control data of the cracking chamber based on the optimized sewage solid-liquid separation value, sets the temperature range, determines whether the temperature meets the cracking conditions, adjusts the heating power, and obtains the amount of combustible gas and chemical raw materials; The byproduct fine separation module calls the gas molecular mass based on the amount of the combustible gas and chemical raw materials, calculates the separation rate, adjusts the speed of the gas separation device and the condensation adsorption temperature, and obtains the amount of recoverable gas and liquid resources; The membrane surface electric field purification module adjusts the electric field gradient and direction based on the amount of recyclable gas and liquid resources, combined with the charged pollutant concentration and electric field strength data, controls the pollutant migration rate, and obtains the degree of reclaimed water purification; The closed-loop resource recovery module extracts the types and quality data of recycled resources based on the degree of purification of the recycled water, adjusts the by-product recovery path, and obtains the total amount of wastewater resource recycling.

2. The resource utilization system for water conservancy wastewater recovery according to claim 1 is characterized in that: The optimized solid-liquid separation value of sewage includes the suspended particle sedimentation rate, the sedimentation optimization range, and the sedimentation path selection; the combustible gas and chemical raw material quantity includes the combustible gas output, the chemical raw material output, and the cracking temperature range; the recyclable gas and liquid resource quantity includes the recyclable gas type, the recyclable liquid resource type, and the separation purity; the recycled water purification degree includes the pollutant removal rate, the electric field action intensity, and the water quality purification grade; the total amount of sewage resource recycling includes the recycled resource category, the total amount of recycled resources, and the recycling utilization rate.

3. The resource utilization system for water conservancy wastewater recovery according to claim 1 is characterized in that: The flow rate gradient control module comprises: The velocity data analysis submodule extracts velocity data, particle size, density and viscosity based on the sewage sedimentation tank information, calculates the fluid resistance according to the viscosity data, determines the matching between the sedimentation rate and the velocity data, and obtains the suspended particle sedimentation rate range; The sedimentation path screening submodule calls the suspended particle sedimentation rate interval, compares the particle sedimentation rate with the flow rate in each area, determines whether it is in the sedimentation optimization interval, screens the area that meets the sedimentation requirements, and obtains the sedimentation path selection result; The baffle guide control submodule adjusts the baffle opening and closing degree and the guide plate angle based on the sedimentation path selection result, calculates the baffle adjustment angle, matches the flow velocity gradient to the sedimentation path, and obtains the optimized sewage solid-liquid separation value.

4. The resource utilization system for water conservancy wastewater recovery according to claim 3 is characterized in that: The partition is adjusted at an angle using the formula: Where θ represents the adjustment angle of the partition, V i represents the flow velocity in the ith region, V avg represents the average velocity in the area, A i represents the stress area of ​​the diaphragm in the ith region, α i represents the inclination angle of the guide plate in the ith zone, and n represents the number of zones.

5. The resource utilization system for water conservancy wastewater recovery according to claim 1 is characterized in that: The high temperature cracking resource conversion module comprises: The temperature interval setting submodule extracts the temperature control data of the cracking chamber based on the optimized sewage solid-liquid separation value, sets the target temperature interval, calculates the deviation between the current temperature and the target interval, determines whether the deviation exceeds the threshold range, determines the adjustment demand, and obtains the temperature deviation value of the cracking chamber; The cracking condition judgment submodule calls the cracking chamber temperature deviation value, compares the temperature range with the cracking condition, judges whether the current temperature meets the cracking requirement, and obtains the cracking temperature judgment result; The heating power control submodule calls the cracking temperature determination result, adjusts the heating power, controls the cracking chamber temperature, identifies the conversion amount of combustible gas and chemical raw materials, and obtains the amount of combustible gas and chemical raw materials.

6. The resource utilization system for water conservancy wastewater recovery according to claim 1 is characterized in that: The by-product fine separation module comprises: The separation rate calculation submodule calls the gas molecular mass based on the amount of the combustible gas and the chemical raw material, identifies the gas molecular movement rate per unit time, combines the target separation concentration threshold, evaluates the rate interval that meets the gas separation conditions, and obtains the target component separation rate after adjusting the numerical deviation; The speed adjustment submodule compares the speed range set by the device based on the target component separation rate, selects the optimal speed, corrects the device speed, and obtains the speed adjustment value of the separation device; The condensation adsorption control submodule calls the separation device to adjust the rotation speed value, identifies the condensation adsorption temperature adjustment amount, sets the condensation temperature, and obtains the amount of recoverable gas and liquid resources.

7. The resource utilization system for water conservancy wastewater recovery according to claim 1 is characterized by: The membrane surface electric field purification module comprises: The pollutant rate determination submodule extracts the concentration of charged pollutants based on the recoverable gas and liquid resources, combines the electric field strength data, identifies the rate of pollutant migration on the membrane surface per unit time, selects the rate range that meets the purification requirements, adjusts the pollutant migration rate deviation, and obtains the pollutant migration rate; The electric field gradient adjustment submodule identifies the electric field gradient adjustment amount on the membrane surface according to the migration rate of the pollutants, compares the current gradient value, corrects the electric field gradient, and obtains the optimized electric field gradient value; The electric field direction control submodule calls the optimized electric field gradient value, analyzes the electric field direction adjustment amplitude, calculates the electric field direction deviation value, corrects the membrane surface electric field direction, adjusts the pollutant migration path, and obtains the degree of reclaimed water purification.

8. The resource utilization system for water conservancy wastewater recovery according to claim 7 is characterized by: The electric field direction deviation value adopts the formula: Among them, E d Represents the electric field direction deviation value, E k,x represents the electric field component in the x direction at the kth position, E k,y represents the electric field component in the y direction at the kth position, E k,z represents the electric field component of the kth position in the z direction, m represents the total number of positions for electric field measurement, and k represents the serial number of the measurement point.

9. The resource utilization system for water conservancy wastewater recovery according to claim 1 is characterized by: The resource closed-loop recycling module includes: The resource extraction submodule calls the recyclable material concentration data in the sewage based on the reclaimed water purification degree value, identifies the quality of the recyclable materials, screens the materials with high recycling value, and obtains the types and quality data of the recycled resources; The recycling path optimization submodule calls the recycling resource type and quality data, screens the low recycling rate resource category, adjusts the recycling path, calculates the recycling path optimization coefficient, and obtains the total amount of sewage resource recycling.

10. The resource utilization system for water conservancy wastewater recovery according to claim 9 is characterized in that: The recycling path optimization coefficient adopts the formula: Among them, L r Represents the recycling path optimization coefficient, R s Represents the theoretical recovery of the low recovery rate resource category screened, R c represents the current recycling volume of the selected low recycling rate resource category, Q in Represents the total flow of sewage resources entering recycling, Q out represents the total flow of sewage resources leaving the recycling, β represents the recycling path adjustment factor, ρ w represents the average density of sewage resources, ρ s Represents the average density of the screened low-recovery resource categories.

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