Adaptive ventilation deodorization system and method based on sewage plant odor source sewage water quality

Abstract

The application discloses a kind of adaptive ventilation deodorization system and method based on sewage plant stink source sewage quality, it is related to waste gas treatment technical field, its method includes obtaining environmental index data, the historical operation data of data storage module and the historical control strategy data of strategy storage module, according to the above data, formulate initial control strategy;WGPEM simulation model is established, and initial control strategy is input WGPEM simulation model in simulation simulation and obtains the simulation value of deodorization device inlet concentration, and WGPEM simulation model is updated according to the simulation value of deodorization device inlet concentration;According to the updated WGPEM simulation model, optimization and adjustment are carried out by strategy optimization module to obtain optimized control strategy;According to the optimized control strategy, ventilation device and deodorization device are controlled to operate.The application can be adaptively adjusted, so that the deodorization device can be kept relatively stable operation under the premise that the ventilation device ensures reasonable ventilation, and the system energy consumption is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of waste gas treatment, in particular to a self-adaptive ventilation and deodorization system and method based on sewage source sewage quality of a sewage treatment plant. BACKGROUND

[0002] The existing ventilation and deodorization system theory of a sewage treatment plant is increasingly mature, and the treatment process is increasingly perfect, and most of them use a biological deodorization device as the core, which has the advantages of being mild and safe, simple to operate, and environmentally friendly compared to other traditional processes. However, the optimization control technology of the sewage treatment ventilation and deodorization process is still in a relatively backward stage, and the operation control of most sewage treatment plants relies on manual control by skilled workers, and the application of control algorithms is less. Among them, the ventilation fan and other ventilation equipment are the main energy-consuming equipment, and the generation amount of malodorous pollutants in the sewage treatment plant is usually affected by sewage source water quality parameters such as COD, ammonia nitrogen and the like. The existing adjustment mode is difficult to adjust the output power of the ventilation fan in time, which is easy to cause energy waste such as excessive ventilation, and may also cause insufficient ventilation and cause danger. At the same time, the dramatic fluctuations in the concentration of waste gas pollutants will significantly affect the performance of the biological deodorization device, even if it can meet the emission standards, it will still cause a significant decrease in the experience of users and surrounding residents. How to solve the self-adaptive adjustment problem of the ventilation and deodorization system based on the sewage source sewage quality is the key to the further development of the ventilation and deodorization technology of the sewage treatment plant in the future.

[0003] At present, the control mode of the ventilation and deodorization system of the sewage treatment plant is generally manual adjustment, which is not based on the self-adaptive adjustment of the sewage source sewage quality, and cannot solve the problems of excessive ventilation and fluctuations in the concentration of waste gas pollutants. SUMMARY

[0004] In view of the problem that the ventilation and deodorization system of the sewage treatment plant in the prior art is difficult to adjust in time, the present application provides a self-adaptive ventilation and deodorization system and method based on sewage source sewage quality of a sewage treatment plant, which can be self-adaptively adjusted, and the deodorization device can be kept relatively stable under the premise of ensuring reasonable ventilation by the ventilation device, and the system energy consumption is reduced.

[0005] To achieve the above-mentioned purpose, the present application can adopt the following technical solutions:

[0006] In a first aspect, the present application provides a self-adaptive ventilation and deodorization system based on sewage source sewage quality of a sewage treatment plant, comprising:

[0007] a ventilation device for collecting waste gas;

[0008] a deodorization device for treating pollutants in the collected waste gas;

[0009] a monitoring device for obtaining environmental index data;

[0010] a control system for controlling the operation of the ventilation device and the deodorization device according to the environmental index data obtained by the monitoring device.

[0011] The adaptive ventilation and deodorization system based on the sewage source water quality of a sewage plant as described above, further comprising a data storage module, a strategy storage module, and a strategy optimization module, wherein the data storage module is used to store historical operation data, the strategy storage module is used to store historical control strategies of the ventilation device and the deodorization device, and the strategy optimization module is used to optimize the strategies according to the historical operation data and the historical control strategies.

[0012] The control system formulates an initial control strategy according to the environmental index data obtained by the monitoring device, the historical operation data stored by the data storage module, and the historical control strategies of the ventilation device and the deodorization device stored by the strategy storage module, the initial control strategy is optimized by the strategy optimization module, and the control system controls the operation of the ventilation device and the deodorization device according to the optimized initial control strategy.

[0013] The adaptive ventilation and deodorization system based on the sewage source water quality of a sewage plant as described above, further comprising a device main body and a spraying water tank, wherein a filler layer is arranged in the device main body, and the spraying water tank is connected to the device main body through a pipeline; the ventilation device comprises a ventilation fan, and the ventilation fan is connected to the device main body through a pipeline.

[0014] The ventilation fan introduces the exhaust gas into the interior of the device main body, the exhaust gas is first adsorbed by the filler medium of the filler layer, then is sprayed and degraded by the spraying liquid in the spraying water tank, and finally is discharged from the device main body after the adsorption and degradation are completed.

[0015] The adaptive ventilation and deodorization system based on the sewage source water quality of a sewage plant as described above, further comprising a water quality monitor and a gas sensor, wherein the water quality monitor is used to monitor the water quality index of the sewage source water, and the gas sensor is used to monitor the gas concentration index of the inlet and outlet gas of the deodorization device.

[0016] The adaptive ventilation and deodorization system based on the sewage source water quality of a sewage plant as described above, further comprising one or a combination of several of ceramic granules, bamboo charcoal, and activated carbon as the filler medium, and a centrifugal fan or an axial flow fan as the ventilation fan.

[0017] The sewage plant odor source sewage quality-based adaptive ventilation deodorization system as described above, further, the water quality detector is one or a combination of several of COD, sulfate, sulfide, temperature online detectors, and total nitrogen, ammonia nitrogen, nitrate nitrogen, total phosphorus, dissolved oxygen, and MLSS online detectors; the gas sensor is one or a combination of several of hydrogen gas sensor, ammonia gas sensor, VOCs gas sensor, and exhaust gas concentration sensor.

[0018] In a second aspect, the present application provides a sewage plant odor source sewage quality-based adaptive ventilation deodorization method, which is performed by using the adaptive ventilation deodorization system as described above, and specifically includes the following steps:

[0019] Obtaining environmental index data, historical operation data of the data storage module, and historical control strategy data of the strategy storage module, and formulating an initial control strategy according to the above data;

[0020] Establishing a WGPEM simulation model, inputting the initial control strategy into the WGPEM simulation model for simulation to obtain a simulation value of the inlet concentration of the deodorization device, and updating the WGPEM simulation model according to the simulation value of the inlet concentration of the deodorization device;

[0021] Optimizing and adjusting the WGPEM simulation model to obtain an optimized control strategy through the strategy optimization module;

[0022] Controlling the ventilation device and the deodorization device to operate according to the optimized control strategy.

[0023] The sewage plant odor source sewage quality-based adaptive ventilation deodorization method as described above, further, the specific steps of establishing the WGPEM simulation model include:

[0024] Obtaining odor source sewage concentration indicators, liquid level, hydraulic retention time, water temperature, and ventilation fan output specific power;

[0025] According to the odor source sewage concentration indicators, the liquid level, the hydraulic retention time, the water temperature, and the ventilation fan output specific power, obtaining the concentration indicators of the gas pollutants of the inlet gas of the deodorization device according to a preset formula:

[0026] C gas =(α1C1+α2C2+…+α k C k +βH+γHRT+εT L )*δP%

[0027] Wherein: C gas is the gas pollutant concentration indicator of the inlet gas of the deodorization device at time t, C kis the odor source sewage concentration index at t-0.5HRT, k is the odor source sewage concentration index serial number, n is the number of odor source sewage concentration indexes, H is the liquid level, HRT is the hydraulic retention time, T L is the water temperature, P% is the output specific power of the ventilation fan at t, and a, b, g, e, and d are related undetermined coefficients.

[0028] The adaptive ventilation and deodorization method based on the odor source sewage quality of the sewage plant as described above further includes the following specific steps of inputting the initial control strategy into the WGPEM simulation model to simulate and obtain the simulation value of the inlet concentration of the deodorization device:

[0029] The target function of all estimated parameters in the WGPEM simulation model is determined, and the target function of each estimated parameter is calculated according to the least square method formula:

[0030]

[0031] In the formula, k is the number of samples, i is the sample data serial number for estimating the parameters, z is the actual value, is the estimated value of the WGPEM simulation model, t i is the corresponding time of the sample data for estimating the parameters;

[0032] The Nelder-Mead simplex method is used to optimize and search the target function of each estimated parameter to obtain the corresponding optimal estimated parameter value.

[0033] The simulation value of the inlet concentration of the deodorization device is obtained according to the optimal estimated parameter value of all estimated parameters in the WGPEM simulation model.

[0034] The adaptive ventilation and deodorization method based on the odor source sewage quality of the sewage plant as described above further includes the following specific steps of inputting the initial control strategy into the WGPEM simulation model to simulate and obtain the simulation value of the inlet concentration of the deodorization device:

[0035] During the simulation, the parameter data in the WGPEM simulation model is adjusted according to a preset percentage.

[0036] The adaptive ventilation and deodorization method based on the odor source sewage quality of the sewage plant as described above further includes the following specific steps during the adjustment of the parameter data in the WGPEM simulation model according to the preset percentage:

[0037] A goodness-of-fit index is determined, and the goodness-of-fit index is calculated according to the following preset formula:

[0038]

[0039] In the formula, t is a time sequence, i is a sample data sequence number for accuracy analysis, k is a sample number, z is an actual value, WGPEM simulation model estimated value, t i is the corresponding time of sample data for estimating parameters;

[0040] When the difference between the goodness-of-fit index and 1 is less than a preset threshold value, the parameter data in the WGPEM simulation model is no longer adjusted by a preset percentage.

[0041] The adaptive ventilation and deodorization method based on the sewage plant odor source sewage quality as described above, further, the operation strategy according to the updated WGPEM simulation model further comprises the following steps:

[0042] Determine the relative deviation value, which is calculated according to the following preset formula:

[0043]

[0044] In the formula, n is a gas index sample sequence number for judgment, h is a gas index sample number, t i is a sample time, z is an actual value, WGPEM simulation model estimated value;

[0045] Compare the relative deviation value with a preset deviation value;

[0046] When the relative deviation value is greater than the preset deviation value, the WGPEM simulation model is optimized and corrected;

[0047] When the relative deviation value is not greater than the preset deviation value, the WGPEM simulation model is not optimized and corrected.

[0048] Compared with the prior art, the present application has the following beneficial effects:

[0049] 1. The present application uses a self-adaptive control strategy to ensure that the deodorization device can operate relatively stably and reduce system energy consumption under the premise that the ventilation device ensures reasonable ventilation;

[0050] 2. The present application combines the characteristics of water treatment processes, nitrification and denitrification processes, sulfur oxidation and reduction processes, enzyme reaction kinetics, and Henry's law to establish a WGPEM simulation model for waste gas concentration in sewage treatment plants, uses the least square method and Nelder-Mead downhill simplex method to optimize the WGPEM simulation model, reduces the cumulative error of iteration, improves the calculation accuracy, and reduces the data storage volume;

[0051] 3、The application optimizes the control strategy of the ventilation device and the deodorization device by using the WGPEM simulation model, so that the air inlet of the deodorization device is stabilized in a suitable range while the energy consumption of the equipment is as low as possible, the experience of the user and the surrounding residents is effectively improved, and the effect of energy saving and consumption reduction is achieved.

[0052] 4、The WGPEM simulation model can be corrected and the control strategy can be optimized during use, so that the operation method depending on artificial experience is avoided. BRIEF DESCRIPTION OF DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0054] Figure 1 A schematic diagram of the adaptive ventilation and deodorization system based on sewage plant odor source sewage water quality in the embodiments of the present application;

[0055] Figure 2 A principle diagram of the adaptive ventilation and deodorization method based on sewage plant odor source sewage water quality in the embodiments of the present application;

[0056] Figure 3 A flowchart of the adaptive ventilation and deodorization method based on sewage plant odor source sewage water quality in the embodiments of the present application. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0058] Embodiment:

[0059] It has to be understood that the terms "first", "second", etc. in the description and claims of the application and above-mentioned drawings are used to distinguish similar objects, and do not have to be necessarily used to describe a specific sequential or chronological order. It is to be understood that data thus designated can be interchanged, where appropriate, so that an embodiment of the application described herein can be carried out in another order than the one illustrated or described herein. Also, the terms "comprising", "having" and any of their derivatives in the embodiments of the application are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or apparatus that comprises a list of steps or elements as non- limiting examples of the process, method, system, product or apparatus, and can include other steps or elements not expressly listed or inherent to such process, method, product or apparatus.

[0060] It has to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only used for the convenience of describing the application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the application.

[0061] In the description of the application, the meaning of "a plurality of" is at least two, for example, two, three, etc., unless otherwise explicitly specified and limited. In addition, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connection" should be understood broadly, for example, can be fixedly connected, can be detachably connected, or integrally connected; can be mechanically connected, can be electrically connected; can be directly connected, can be indirectly connected through an intermediate medium, and can be internal communication of two elements. For those skilled in the art, the specific meaning of the above terms in the application can be understood according to the specific circumstances.

[0062] In the present application, unless otherwise explicitly specified and limited, the "on" or "under" of the first feature to the second feature can be that the first and second features are in direct contact, or the first and second features are indirectly in contact through an intermediate medium. Moreover, the "over", "above" and "on" of the first feature to the second feature can be that the first feature is directly above or obliquely above the second feature, or only means that the horizontal height of the first feature is higher than that of the second feature. The "under", "below" and "under" of the first feature to the second feature can be that the first feature is directly below or obliquely below the second feature, or only means that the horizontal height of the first feature is less than that of the second feature.

[0063] In a first aspect, the present application provides an adaptive ventilation and deodorization system based on sewage odor source sewage quality, which comprises a deodorization device, a ventilation device, a monitoring device and a control system, the ventilation device is used for collecting exhaust gas, the deodorization device is used for treating pollutants in the collected exhaust gas, the monitoring device is used for obtaining environmental index data, and the control system controls the operation of the ventilation device and the deodorization device according to the environmental index data obtained by the monitoring device.

[0064] As an optional implementation, in some embodiments, the control system has a data storage module, a strategy storage module and a strategy optimization module, the data storage module is used for storing historical operation data, the strategy storage module is used for storing historical control strategies of the ventilation device and the deodorization device, and the strategy optimization module is used for optimizing the strategies according to the historical operation data and the historical control strategies; wherein the control system formulates an initial control strategy according to the environmental index data obtained by the monitoring device, the historical operation data stored in the data storage module and the historical control strategies of the ventilation device and the deodorization device stored in the strategy storage module, the initial control strategy is optimized by the strategy optimization module, and the control system controls the operation of the ventilation device and the deodorization device according to the optimized initial control strategy.

[0065] Specifically, referring to Figure 1 , the control system formulates control strategy data according to the environmental data obtained by the monitoring device, the historical operation data stored in the data storage module and the historical control strategy data of the ventilation device and the deodorization device stored in the strategy storage module, the control strategy data is output after being optimized by the strategy optimization data, so as to control the operation of the ventilation device and the deodorization device. In this way, the deodorization device can be kept relatively stable operation and the system energy consumption is reduced under the premise of ensuring reasonable ventilation of the ventilation device.

[0066] As an optional implementation, in some embodiments, the deodorization device comprises a device main body and a spraying water tank, the device main body is provided with a filler layer, the spraying water tank is connected with the device main body through a pipeline, and the ventilation device comprises a ventilation fan, the ventilation fan is connected with the device main body through a pipeline; wherein the ventilation fan introduces the exhaust gas into the inside of the device main body, the exhaust gas is first adsorbed by the filling medium of the filler layer, then is sprayed and degraded by the spraying liquid in the spraying water tank, and finally is discharged from the device main body after completing the adsorption and degradation.

[0067] Specifically, the deodorization device of the present application adopts biological deodorization technology, and the device body is provided with an air inlet layer, a filler layer and an air outlet layer. The air inlet layer is provided with an air inlet, the air outlet layer is provided with an air outlet, and the filler layer is provided with a filling medium. Near the odor source, the exhaust gas is introduced into the air inlet of the device body through the air pipe by using the ventilation fan. The exhaust gas passes through the air inlet layer, the filler layer and the air outlet layer in turn. In this process, the microorganisms attached and grown in the filler layer adsorb and degrade the pollutants in the exhaust gas, and the spray liquid in the spray tank further degrades the exhaust gas. Finally, the treated gas meeting the standard is discharged from the air outlet.

[0068] In the above embodiment, further, the filling medium is one or a combination of several of ceramic granules, bamboo charcoal and activated carbon, and the ventilation fan is a centrifugal fan or an axial flow fan. The filling medium is a porous medium material such as ceramic granules, bamboo charcoal or activated carbon, and a large number of pores exist in the interior of the porous medium material, which provides a large specific surface area, so that the porous medium material can better adsorb. The specific selection of the ventilation fan can be adjusted according to the actual environment. If multi-angle exhaust is required, a centrifugal fan with high flexibility is used. If the exhaust angle is relatively fixed, an axial flow fan installed on the air pipe can be used.

[0069] As an optional embodiment, in some embodiments, the monitoring device includes a water quality monitor and a gas sensor. The water quality monitor is used to monitor the water quality indicators of the odor source wastewater, and the gas sensor is used to monitor the gas concentration indicators of the inlet and outlet air of the deodorization device. The monitoring device of the present application mainly monitors the water quality of the odor source and the gas before and after deodorization to ensure that the exhaust gas meets the standard after treatment.

[0070] In the above embodiment, further, the water quality monitor is one or a combination of several of a COD, sulfate, sulfide, temperature online detector, and total nitrogen, ammonia nitrogen, nitrate nitrogen, total phosphorus, dissolved oxygen, and MLSS online detector, and the gas sensor is one or a combination of several of a hydrogen gas sensor, an ammonia gas sensor, a VOCs gas sensor, and an exhaust gas concentration sensor. The water quality monitor is installed at the odor source wastewater, and the gas sensor is installed at the air inlet and air outlet of the deodorization device.

[0071] In a second aspect, the present application also provides a self-adaptive ventilation deodorization method based on the water quality of odor source wastewater in a sewage plant. The method uses the self-adaptive ventilation deodorization system based on the water quality of odor source wastewater in a sewage plant described above, and specifically includes the following steps:

[0072] The environmental index data, the historical running data of the data storage module, and the historical control strategy data of the strategy storage module are acquired, and an initial control strategy is formulated according to the above data; a WGPEM simulation model is established, the initial control strategy is input into the WGPEM simulation model for simulation to obtain a simulation value of the inlet concentration of the deodorization device, and the WGPEM simulation model is updated according to the simulation value of the inlet concentration of the deodorization device; and an optimized control strategy is obtained by optimizing and adjusting the strategy optimization module according to the updated WGPEM simulation model; and the ventilation device and the deodorization device are controlled to operate according to the optimized control strategy.

[0073] Specifically, referring to Figure 2 .

[0074] Step 1: The environmental index data, the historical running data of the data storage module, and the historical control strategy data of the strategy storage module are acquired, and an initial control strategy is formulated according to the above data.

[0075] In this step, the historical running data includes the output power of the ventilation fan at each time, the sewage odor source water quality detection index, and the inlet and outlet gas concentration index of the deodorization device. The historical control strategy data includes the ventilation fan output power strategy of the deodorization system in the historical running period. The ventilation fan output strategy refers to the output power of the ventilation fan under different water quality detection indexes in the corresponding running period. The initial control strategy includes the maximum output power P 100％ of the ventilation fan and its adjustable range, the inlet and outlet gas index requirements of the deodorization device, and the sewage treatment plant operation parameters such as the hydraulic retention time HRT and the liquid level H. The water quality index includes one or more of temperature T L , COD, total phosphorus C TP , total nitrogen C TN , ammonia nitrogen C NH3-N , nitrate nitrogen C NO3-N , sulfate C SO4 , sulfide Cs, and dissolved oxygen C O2 . The gas index includes one or more of hydrogen sulfide C H2s , ammonia C NH3 , volatile organic matter C VOSS , and odor concentration C odor . It should be noted that in the sample data at time t, the gas index is the gas index at time t, and the water quality index is the water quality index at time t-0.5HRT.

[0076] Step 2: A WGPEM simulation model is established, the initial control strategy is input into the WGPEM simulation model for simulation to obtain a simulation value of the inlet concentration of the deodorization device, and the WGPEM simulation model is updated according to the simulation value of the inlet concentration of the deodorization device.

[0077] Step 201: Establishing a WGPEM simulation model.

[0078] In this step, the WGPEM simulation model is established according to the process characteristics of the sewage treatment plant. The model is based on nitrification-denitrification process, sulfur oxidation-reduction process, enzyme reaction kinetics, and Henry's law gas pollutant concentration estimation equation. It is a theoretical model of multiple gas simulation equations containing multiple parameters.

[0079] Step 202: Input the initial control strategy into the WGPEM simulation model for simulation to obtain the simulated value of the inlet concentration of the deodorization device, and update the WGPEM simulation model according to the simulated value of the inlet concentration of the deodorization device.

[0080] In this step, the process of waste gas pollutants generated by the water treatment process after collection to the inlet of the deodorization device is simulated. The simulation process can be equivalent to calculating the parameters of the simulation equation in the model using the least square method and Nelder-Mead downhill simplex method, to obtain the simulated value of the inlet concentration of the deodorization device with the change of the sewage plant odor source sewage water quality parameters.

[0081] Step 3: According to the updated WGPEM simulation model, the optimization module is used to optimize and adjust to obtain the optimized control strategy.

[0082] In this step, according to the updated WGPEM simulation model, the output power of the ventilation fan is adjusted for strategy simulation, and the simulated gas index results are output. According to the simulated gas index results, the actual gas index, and the deodorization device processing requirements, control strategy optimization and WGPEM simulation model optimization are selected. Among them, the strategy optimization is to optimize the control strategy according to the historical operation data, the initial control strategy, the control requirements, etc.

[0083] Step 4: According to the optimized control strategy, the ventilation device and the deodorization device are controlled to run.

[0084] In this step, the optimal strategy obtained by simulation is applied to the operation of the actual ventilation and deodorization system.

[0085] As can be seen, the present application can keep the deodorization device relatively stable operation and reduce the system energy consumption under the premise of ensuring reasonable ventilation of the ventilation device through the adaptive control strategy.

[0086] As an optional implementation, in some embodiments, the specific steps of establishing the WGPEM simulation model include:

[0087] The odor source sewage concentration index, liquid level, hydraulic retention time, water temperature, and ventilation fan output specific power are obtained; according to the odor source sewage concentration index, liquid level, hydraulic retention time, water temperature, and ventilation fan output specific power, the concentration index of the gas pollutant of the air inlet of the deodorization device is obtained according to a preset formula:

[0088] C gas = (α1C1+ α2C2+ … + α k C k + βH + γHRT + εT L )* δP%

[0089] Wherein: C gas is the odor gas pollutant concentration index of the biological deodorization device at time t, C k is the odor source sewage concentration index at time t-0.5HRT, k is the odor source sewage concentration index number, n is the number of odor source sewage concentration indexes, H is the liquid level, HRT is the hydraulic retention time, T L is the water temperature, P% is the ventilation fan output specific power at time t, α, β, y, ε, and δ are related undetermined coefficients.

[0090] As an optional implementation, in some embodiments, the specific steps of inputting the initial control strategy into the WGPEM simulation model for simulation to obtain the simulation value of the deodorization device air inlet concentration include:

[0091] The objective function of all estimated parameters in the WGPEM simulation model is determined, and the objective function of each estimated parameter is calculated according to the least square method formula:

[0092]

[0093] In the formula, k is the number of samples, i is the sample data sequence number for estimating the parameters, z is the actual value, is the WGPEM simulation model estimated value, t i is the sample data corresponding time for estimating the parameters;

[0094] The Nelder-Mead simplex method is used to optimize and search the objective function of each estimated parameter to obtain the corresponding optimal estimated parameter value;

[0095] According to the optimal estimated parameter value of all estimated parameters in the WGPEM simulation model, the simulation value of the deodorization device air inlet concentration is obtained.

[0096] Specifically, the estimated parameters include the odor source sewage concentration indicator, liquid level, hydraulic retention time, water temperature and ventilation fan output specific power. The simulation process can be equivalent to the least square method and the Nelder-Mead simplex method, which is the optimal solution to solve the multi-dimensional unconstrained nonlinear optimization problem. This method can be understood as a function variable of n dimensions, a polyhedron with (n+1) vertices in an n-dimensional space, which updates the vertex ordering through a series of mathematical transformations such as reflection, expansion, external contraction and internal contraction. The new vertex is used to replace the worst vertex, and the objective function gradually approaches the minimum value in the process of continuous iteration until the optimal vertex and the worst vertex meet the proportion range requirement or the maximum iteration number, and the iteration ends. This method can be used for nonlinear function extremum and curve fitting program. In the process of successive iteration, the inverse of the new basis matrix is directly calculated from the inverse of the old basis matrix, which can reduce the cumulative error in iteration, improve the calculation accuracy, and also reduce the data storage amount.

[0097] As an optional implementation, in some embodiments, the specific steps of inputting the initial control strategy into the WGPEM simulation model for simulation to obtain simulation values of the operation data of the ventilation device and the deodorization device further include:

[0098] In the simulation process, the parameter data in the WGPEM simulation model is adjusted by a preset percentage.

[0099] Specifically, a fixed percentage is adjusted each time based on the original parameter value, so that the model simulation process is more consistent with the actual waste gas process produced by the sewage plant. The fixed percentage is 2% to 20%.

[0100] In the above embodiments, further, in the process of adjusting the parameter data in the WGPEM simulation model by a preset percentage, it further includes:

[0101] The goodness-of-fit indicator is determined, and the goodness-of-fit indicator is calculated according to the following preset formula:

[0102]

[0103] In the formula, t is a time series, i is a sample data sequence number for accuracy analysis, k is the number of samples, z is an actual value, is an estimated value of the WGPEM simulation model, t i is the corresponding time of the sample data for estimating the parameters.

[0104] When the difference between the goodness-of-fit indicator and 1 is less than a preset threshold, the parameter data in the WGPEM simulation model is no longer adjusted by a preset percentage.

[0105] Specifically, the closer the goodness-of-fit indicator approaches 1, the higher the accuracy of the model, that is, the more realistic the simulation effect.

[0106] As an optional implementation, in some embodiments, the step of updating the running strategy of the WGPEM simulation model further comprises the following steps:

[0107] A relative deviation value is determined, and the relative deviation value is calculated according to the following preset formula:

[0108]

[0109] In the formula, n is the serial number of the gas index sample for judgment, h is the number of the gas index samples, t is the sample time, z is the actual value, and is the WGPEM simulation model estimated value. i In the formula, n is the serial number of the gas index sample for judgment, h is the number of the gas index samples, t is the sample time, z is the actual value, and is the WGPEM simulation model estimated value.

[0110] The relative deviation value is compared with a preset deviation value; when the relative deviation value is greater than the preset deviation value, the WGPEM simulation model is optimized and corrected; and when the relative deviation value is not greater than the preset deviation value, the WGPEM simulation model is not optimized and corrected.

[0111] Specifically, when the simulated gas index is greater than the set range, the simulated ventilation fan output specific power is increased (usually by 1% to 5%), another set of simulated gas index values is obtained, if the set of simulated gas index values is in the set range, the optimization control strategy of the fan output specific power is adopted, otherwise the simulated ventilation fan output specific power is continuously increased; when the simulated gas index is less than the set range, the simulated ventilation fan output specific power is reduced (usually by 1% to 5%), another set of simulated gas index values is obtained, if the set of simulated gas index values is in the set range, the optimization control strategy of the fan output specific power is adopted, otherwise the simulated ventilation fan output specific power is continuously reduced; and when the simulated gas index is in the set range, the control strategy is not changed. After 0.5HRT, the final simulation value is compared with the actual value, if Rd is less than or equal to 0.05, the model is not corrected, and if Rd is greater than or equal to 0.05, the set of data is used for WGPEM simulation model optimization.

[0112] Similarly, the ventilation fan output specific power can also be adjusted according to the liquid level, the hydraulic retention time and the water temperature.

[0113] It can be seen that the WGPEM simulation model is used to optimize the control strategy of the ventilation device and the deodorization device, so that the air inlet of the deodorization device is stably in a suitable range while the energy consumption of the equipment is as low as possible, the experience of the user and the surrounding residents is effectively improved, and the effect of energy saving and consumption reduction is achieved.

[0114] ​In the description of the specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples without contradiction.

[0115] The above embodiments are only for the purpose of illustrating the technical concepts and characteristics of the present application, and the purpose is to enable those of ordinary skill in the art to understand the content of the present application and to implement it, and cannot limit the protection scope of the present application. Any equivalent changes or modifications made in accordance with the essence of the present application should be covered within the protection scope of the present application.

Claims

1. An adaptive ventilation and deodorization method based on the water quality of odor source sewage in a sewage treatment plant, characterized in that: It is carried out using an adaptive ventilation and deodorization system, which includes: a ventilation device for collecting exhaust gases; a deodorizing device for treating pollutants in the collected exhaust gas; A monitoring device for obtaining environmental indicator data; a control system for controlling the operation of the ventilation device and the deodorization device according to the environmental index data acquired by the monitoring device; The control system comprises a data storage module, a strategy storage module, and a strategy optimization module. The data storage module is used to store historical operation data. The strategy storage module is used to store historical control strategies of the ventilation device and the deodorization device. The strategy optimization module is used to optimize strategies based on historical operation data and historical control strategies. The adaptive ventilation and deodorization method specifically includes the following steps: Obtain environmental indicator data, historical operation data of the data storage module, and historical control strategy data of the strategy storage module, and formulate an initial control strategy based on the above data; Establishing a WGPEM simulation model, inputting the initial control strategy into the WGPEM simulation model for simulation to obtain a simulated value of the deodorization device intake air concentration, and updating the WGPEM simulation model according to the simulated value of the deodorization device intake air concentration; According to the updated WGPEM simulation model, the optimized control strategy is obtained by optimizing and adjusting the strategy optimization module; Control the operation of ventilation and deodorization devices according to the optimized control strategy; The specific steps of establishing the WGPEM simulation model include: Obtain odor source sewage concentration indicators, liquid level, hydraulic retention time, water temperature and ventilation fan output power ratio; According to the odor source sewage concentration index, the liquid level, the hydraulic retention time, the water temperature and the ventilation fan output power ratio, the concentration index of the gaseous pollutants in the intake air of the deodorizing device is obtained according to a preset formula: in: is the concentration index of gas pollutants entering the deodorization device at time t, is the concentration index of the odor source sewage at the moment t-0.5HRT, k is the index number of the odor source sewage concentration, H is the liquid level, HRT is the hydraulic retention time, T L is the water temperature, P % is the output power ratio of the ventilation fan at time t, 、 、 、 、 is the relevant undetermined coefficient.

2. The adaptive ventilation and deodorization method based on the water quality of the odor source sewage in the sewage treatment plant according to claim 1 is characterized in that: The specific steps of inputting the initial control strategy into the WGPEM simulation model to perform simulation to obtain the simulated value of the deodorization device intake air concentration include: Determine the objective function of all estimated parameters in the WGPEM simulation model. The objective function of each estimated parameter is calculated using the least squares formula: Where k is the number of samples, i is the sample data number used to estimate the parameters, z is the actual value, and ž is the estimated value of the WGPEM simulation model. is the sample data corresponding to the time used to estimate the parameters; The Nelder-Mead downhill simplex method is used to optimize the objective function of each estimated parameter to obtain the corresponding optimal estimated parameter value; The simulated value of the deodorizing device intake air concentration is obtained according to the optimal estimated parameter values ​​of all estimated parameters in the WGPEM simulation model.

3. The adaptive ventilation and deodorization method based on the water quality of the odor source sewage in the sewage treatment plant according to claim 2 is characterized in that: The specific steps of inputting the initial control strategy into the WGPEM simulation model to perform simulation to obtain the simulated value of the deodorization device intake air concentration also include: During the simulation process, the parameter data in the WGPEM simulation model is adjusted according to the preset percentage.

4. The adaptive ventilation and deodorization method based on the water quality of the odor source sewage in the sewage treatment plant according to claim 3 is characterized in that: The process of adjusting the parameter data in the WGPEM simulation model according to the preset percentage also includes: Determine the goodness of fit index, which is calculated according to the following preset formula: Where t is the time series, i is the sample data number used for accuracy analysis, k is the number of samples, z is the actual value, and ž is the estimated value of the WGPEM simulation model. is the sample data corresponding to the time used to estimate the parameters; When the difference between the goodness of fit index and 1 is smaller than a preset threshold, the parameter data in the WGPEM simulation model is no longer adjusted according to the preset percentage.

5. The adaptive ventilation and deodorization method based on the water quality of the odor source sewage in a sewage treatment plant according to claim 1 is characterized in that: The control system formulates an initial control strategy based on the environmental indicator data acquired by the monitoring device, the historical operation data stored in the data storage module, and the historical control strategies of the ventilation device and the deodorization device stored in the strategy storage module. The initial control strategy is optimized by the strategy optimization module, and the control system controls the operation of the ventilation device and the deodorization device according to the optimized initial control strategy.

6. The adaptive ventilation and deodorization method based on the water quality of the odor source sewage in a sewage treatment plant according to claim 1 is characterized in that: The deodorizing device comprises a device body and a spray water tank, wherein a filler layer is provided in the device body, and the spray water tank is connected to the device body via a pipe; The ventilation device includes a ventilation fan, and the ventilation fan is connected to the device body through a pipeline; The ventilation fan passes the exhaust gas into the interior of the device body, and the exhaust gas is first adsorbed by the filling medium of the packing layer, then sprayed and degraded by the spray liquid in the spray water tank, and finally discharged from the device body after the adsorption and degradation are completed.

7. The adaptive ventilation and deodorization method based on the water quality of the odor source sewage in a sewage treatment plant according to claim 1 is characterized in that: The monitoring device includes a water quality monitor and a gas sensor. The water quality monitor is used to monitor the water quality index of the odor source sewage, and the gas sensor is used to monitor the gas concentration index of the inlet and outlet of the deodorizing device.

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