Device for treating odor in furfural production workshop

Abstract

The invention relates to the technical field of gas-slag separation, and discloses a device for treating odor in a furfural production workshop, which comprises a spraying shell, an activated carbon filter layer mounted at the top of the spraying shell, a conical exhaust shell mounted at the top of the activated carbon filter layer, and an air inlet fixed on the side wall of the spraying shell, a spraying mechanism is arranged in the spraying shell, and the spraying mechanism is used for spraying purification liquid into the spraying shell; and the spraying amount real-time adjusting system is used for adjusting the flow of the spraying purification liquid in the spraying shell in real time. The gas-liquid synergism is dynamically evaluated and the spraying amount is adjusted through the spraying amount real-time adjusting system, the problems that a traditional device is lagged in adjustment and low in purification efficiency are solved by combining the activated carbon filtering layer and the multi-stage spraying structure, and the device has the advantages that the state change of waste gas and purification liquid is dynamically responded, the peculiar smell removal efficiency is improved, and the energy consumption and the maintenance frequency are reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of gas-slag separation, and in particular relates to a device for treating odor in a furfural production workshop. Background Art

[0002] During furfural production, hemicellulose decomposition, while producing the target product, inevitably produces by-products such as volatile organic compounds (VOCs) like acetic acid, acetone, and phenols, as well as solid impurities like furfural residue. These substances can easily leak into the workshop air through the exhaust system, creating a strong odor, and some components are potentially harmful to the human respiratory and nervous systems.

[0003] Traditional gas-slag separation devices mostly use fixed-parameter spray purification combined with activated carbon adsorption, but there are significant limitations. The static adjustment is insufficient and cannot respond in real time to the dynamic changes of the exhaust gas state (such as temperature, humidity, and flow fluctuations) and the purification liquid state (such as temperature deviation from the optimal value, viscosity increase, and solid content increase). When the purification liquid is recycled, its performance will change, and synergy is lost. The interaction between the exhaust gas and the purification liquid has not been quantitatively evaluated, resulting in delayed liquid-gas ratio adjustment, unstable purification efficiency, and clogging risk. High-solid content liquids are prone to clogging the spray system, requiring frequent maintenance.

[0004] Existing technologies lack a dynamic coupling mechanism for the gas-liquid dual-phase state, making it difficult to achieve intelligent adjustment of the spray volume. This results in low odor removal efficiency, high energy consumption, and frequent operational failures under complex operating conditions. To address these issues, existing technologies urgently need improvement. Summary of the Invention

[0005] The purpose of the embodiment of the present invention is to provide a device for treating odor in a furfural production workshop, aiming to solve the problem that the spray parameters of the existing spray device are fixed and cannot adapt to the changing states of gas and liquid.

[0006] The present invention is achieved in this way: a device for treating odor in a furfural production workshop comprises a spray shell, an air inlet is fixed on the side wall of the spray shell, and further comprises: an activated carbon filter layer installed on the top of the spray shell, a conical exhaust shell is installed on the top of the activated carbon filter layer, a spray mechanism is provided in the spray shell, and the spray mechanism is used to spray a purification liquid into the spray shell; a spray volume real-time adjustment system is used to adjust the flow rate of the purification liquid sprayed in the spray shell in real time, and the spray volume real-time adjustment system comprises: an information acquisition module for obtaining gas state information of the gas entering the air inlet, liquid state information of the purification liquid, and purified gas information below the activated carbon filter layer. information; a gas state evaluation module, which constructs a gas state evaluation model based on the gas state information and outputs the gas state coefficient; a liquid state evaluation module, which constructs a liquid state evaluation model based on the liquid state information and outputs the liquid state coefficient; a purification evaluation module, which constructs a purification evaluation model based on the purified gas information and outputs the gas purification coefficient; a gas-liquid synergy evaluation module, which constructs a gas-liquid synergy evaluation model based on the gas state coefficient and the liquid state coefficient under the current gas purification coefficient and outputs the gas-liquid synergy coefficient; a spray volume adjustment module, which constructs a spray volume adjustment model based on the current spray volume and the gas-liquid synergy coefficient, outputs the target spray volume, and adjusts the current spray volume to the target spray volume.

[0007] Further technical solution, the spray rate adjustment model is:

[0008] Q target =R targt ·F g =Q current (1+kK c )

[0009] Among them, Q target is the target spraying volume, R target =R currret (1+kK c ) is the target liquid-gas ratio, F g is the gas flow rate, is the current liquid-gas ratio, Q current is the current spraying volume, k is the adjustment gain coefficient, K c is the gas-liquid synergy coefficient.

[0010] In a further technical solution, the gas-liquid synergy evaluation model is:

[0011] K c =K p ·(γ1K g +γ2K l )

[0012] Among them, K c is the gas-liquid synergy coefficient, K c ∈[0,1],Kp is the gas purification coefficient, K g is the gas state coefficient, K l is the liquid state coefficient, γ1 and γ2 are weight coefficients, ∑ i γ i =1,γ i ≥0.

[0013] In a further technical solution, the gas state evaluation model is constructed based on the gas state information to output the gas state coefficient, wherein the gas state information includes gas temperature, gas humidity and gas flow rate;

[0014] The gas state evaluation model is:

[0015]

[0016] Among them, K g is the gas state coefficient, K g ∈[0,1], α1, α2 and α3 are weight coefficients, ∑ i α i =1,α i ≥0, T g is the gas temperature, H g is the gas humidity, F g is the gas flow rate, T g,max is the maximum allowable gas temperature, T g,min is the minimum value allowed for the gas temperature, H g,max is the maximum value allowed for gas humidity, H g,min is the minimum value allowed for gas humidity, F g,max It is the maximum design value of gas flow.

[0017] In a further technical solution, the liquid state evaluation model is constructed based on the liquid state information to output the liquid state coefficient, wherein the liquid state information includes liquid temperature, liquid viscosity and liquid solid content;

[0018] The liquid state evaluation model is:

[0019]

[0020] Among them, K l is the liquid state coefficient, K l ∈[0,1], β1, β2 and β3 are weight coefficients, ∑ i β i =1,β i ≥0, T l is the liquid temperature, μ l is the liquid viscosity, S l is the liquid solid content, T l,opot is the optimal temperature of the liquid, Tl,max is the maximum allowable liquid temperature, T l,min is the minimum value allowed for the liquid temperature, μ l,max is the maximum value allowed for liquid viscosity, μ l,min is the minimum value allowed for liquid viscosity, S l,max It is the maximum allowable solid content of the liquid.

[0021] In a further technical solution, the purification evaluation model is constructed based on the purified gas information to output the gas purification coefficient, wherein the purified gas information includes the gas concentration before purification, the gas concentration after purification, and the maximum allowable gas emission concentration;

[0022] The purification evaluation model is:

[0023]

[0024] Among them, K p is the gas purification coefficient, K p ∈[0,1], the larger the value, the worse the purification effect. is the current removal rate, is the required removal rate, C in >C out >0, C max is the maximum allowable concentration of exhaust gas particles, C in is the gas particle concentration before purification, C out is the particle concentration in the gas after purification.

[0025] A further technical solution is that the spray mechanism includes two filler support frames installed in sequence from top to bottom in the spray shell, the two filler support frames are located between the activated carbon filter layer and the air inlet, and auxiliary pipes are fixed above the two filler support frames in the spray shell, multiple extension pipes are installed on the auxiliary pipes, multiple nozzles are installed on the extension pipes and the auxiliary pipes, and a liquid supply assembly is installed on the side wall of the spray shell.

[0026] According to a further technical solution, the liquid supply assembly includes a bottom support frame installed at the bottom of the spray shell, a water tank and a circulation pump are installed on the bottom support frame, the input end of the circulation pump is connected to the water tank, and the output end of the circulation pump is connected to a main pipeline, and the main pipeline is connected to two secondary pipelines.

[0027] According to a further technical solution, the bottom of the spray housing is connected to the water tank, and a filter is installed below the air inlet in the spray housing.

[0028] According to a further technical solution, a demister is installed below the activated carbon filter layer in the spray housing.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention provides a device for treating odor in a furfural production workshop. The device dynamically evaluates the gas-liquid synergy and adjusts the spray volume through a real-time spray volume adjustment system. Combined with an activated carbon filter layer and a multi-stage spray structure, it solves the problems of lag adjustment and low purification efficiency of traditional devices. It has the advantages of dynamically responding to changes in the state of exhaust gas and purification liquid, improving odor removal efficiency, and reducing energy consumption and maintenance frequency. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A schematic structural diagram of a device for treating odor in a furfural production workshop provided by the present invention;

[0032] Figure 2 The present invention provides Figure 1 Schematic diagram of the internal structure of the spray shell;

[0033] Figure 3 The present invention provides Figure 2 Schematic diagram of the enlarged structure of A;

[0034] Figure 4 This is a schematic diagram of the workflow of the real-time spray volume adjustment system provided by the present invention.

[0035] In the attached figure: 1. Spray shell; 2. Activated carbon filter layer; 3. Air inlet; 4. Conical exhaust shell; 5. Defogger; 6. Water tank; 7. Filter; 8. Filler support frame; 9. Nozzle; 10. Circulation pump; 11. Main pipeline; 12. Auxiliary pipeline; 13. Extension pipe; 14. Bottom support frame. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0037] The specific implementation of the present invention is described in detail below with reference to specific embodiments.

[0038] like Figure 1-Figure 3As shown, a device for treating odor in a furfural production workshop provided by one embodiment of the present invention includes a spray shell 1, an air inlet 3 is fixed on the side wall of the spray shell 1, and also includes: an activated carbon filter layer 2 installed on the top of the spray shell 1, a conical exhaust shell 4 is installed on the top of the activated carbon filter layer 2, a spray mechanism is provided in the spray shell 1, and the spray mechanism is used to spray a purification liquid into the spray shell 1, and the spray mechanism includes two filler support frames 8 installed in sequence from top to bottom in the spray shell 1, the two filler support frames 8 are located between the activated carbon filter layer 2 and the air inlet 3, and auxiliary pipes 12 are fixed above the two filler support frames 8 in the spray shell 1. 12 is equipped with multiple extension pipes 13, and multiple nozzles 9 are installed on the extension pipes 13 and the auxiliary pipes 12. A liquid supply assembly is installed on the side wall of the spray shell 1, and the liquid supply assembly includes a bottom support frame 14 installed at the bottom of the spray shell 1, and a water tank 6 and a circulation pump 10 are installed on the bottom support frame 14. The input end of the circulation pump 10 is connected to the water tank 6, and the output end of the circulation pump 10 is connected to the main pipe 11, and the main pipe 11 is connected to two auxiliary pipes 12. The bottom of the spray shell 1 is connected to the water tank 6, and a filter screen 7 is installed below the air inlet 3 in the spray shell 1, and a demister 5 is installed below the activated carbon filter layer 2 in the spray shell 1.

[0039] In the embodiment of the present invention, when in use, the circulation pump 10 pumps the purified liquid in the water tank 6 into the main pipe 11, and the purified liquid in the main pipe 11 is sprayed out from the nozzle 9 through the auxiliary pipe 12 and the extension pipe 13. Fillers are placed on the filler support frame 8, and the workshop air is introduced into the air inlet 3 through a blower or a negative pressure machine. The workshop air passes through the two filler support frames 8 upward in turn and is filtered by the purified liquid, thereby removing particles such as dust and fiber in the air. The purified air continues to move upward and is defogged by the demister 5. The defogged gas moves upward and is treated by the activated carbon filter layer 2. The activated carbon filter layer 2 adsorbs organic matter in the air. The treated gas is discharged from the end of the conical exhaust shell 4. After spraying, defogging and activated carbon adsorption, most of the impurities such as fiber dust and organic matter are removed, thereby removing the odor in the air.

[0040] In existing technologies, volatile organic compounds and solid impurities generated during furfural production leak into the workshop environment through the exhaust gas emission system. Conventional gas-slag separation devices utilize fixed-parameter spray purification combined with activated carbon adsorption. Due to fluctuations in exhaust gas temperature, humidity, and flow rate, the purified liquid undergoes temperature deviations, increases in viscosity, and increases in solids content over time. The fixed spray rate cannot dynamically match the changes in the gas-liquid two-phase state, resulting in delayed liquid-to-gas ratio regulation, reduced purification efficiency, and a significant risk of spray system clogging.

[0041] To solve the above problems, the inventors found that the core defect of traditional devices is the lack of a dynamic evaluation mechanism for gas-liquid interaction. By analyzing the correlation between gas state parameters and liquid performance parameters during the waste gas treatment process, they proposed to establish a real-time monitoring and collaborative evaluation system. Based on the feedback of gas purification effect, a gas-liquid synergy coefficient is constructed as the basis for spray volume adjustment, forming a closed-loop control logic to achieve dynamic matching of liquid-gas ratio and working condition changes.

[0042] like Figure 4 As shown, as a preferred embodiment of the present invention, a real-time spraying amount adjustment system is also included, which is used to adjust the flow rate of the purification liquid sprayed in the spray housing 1 in real time. The real-time spraying amount adjustment system includes:

[0043] An information acquisition module is used to obtain gas state information of the gas entering the air inlet 3, liquid state information of the purification liquid, and information of the purified gas below the activated carbon filter layer 2;

[0044] The gas state evaluation module builds a gas state evaluation model based on the gas state information and outputs the gas state coefficient;

[0045] The liquid state evaluation module constructs a liquid state evaluation model based on the liquid state information and outputs the liquid state coefficient;

[0046] The purification evaluation module builds a purification evaluation model based on the purified gas information and outputs the gas purification coefficient;

[0047] The gas-liquid synergy evaluation module constructs a gas-liquid synergy evaluation model based on the gas state coefficient and the liquid state coefficient under the current gas purification coefficient and outputs the gas-liquid synergy coefficient;

[0048] The spray rate adjustment module builds a spray rate adjustment model based on the current spray rate and the gas-liquid synergy coefficient to output the target spray rate and adjust the current spray rate to the target spray rate.

[0049] The gas state evaluation module calculates the weighted values ​​of temperature deviation, humidity deviation, and flow load in real time to quantify the difficulty of exhaust gas treatment. The liquid state evaluation module assesses the impact of temperature deviation, viscosity, and solids content on atomization efficiency. The purification evaluation module determines whether the current purification efficiency meets the standard based on the inlet and outlet concentration difference. When the gas purification coefficient increases, the gas-liquid synergy evaluation module generates an adjustment signal based on the gas and liquid state coefficients. The spray rate adjustment module adjusts the target spray rate according to the liquid-to-gas ratio formula to dynamically match the purification liquid flow rate with the exhaust gas flow rate and gas-liquid state.

[0050] Compared with existing technologies, traditional devices rely on fixed spray parameters and are unable to respond to sudden changes in exhaust gas flow or liquid performance degradation, leading to fluctuations in purification efficiency and nozzle clogging. This solution collects gas-liquid state parameters in real time and establishes a synergy coefficient to dynamically adjust the spray volume. This automatically increases the liquid-to-gas ratio when exhaust gas flow increases, compensates the spray pressure when liquid viscosity rises, and triggers a cleaning warning when the solids content exceeds the standard, forming an adaptive closed-loop control system.

[0051] Through the above technical solution, this application realizes real-time matching of spray flow and exhaust gas treatment requirements, solves the problem of unstable purification efficiency caused by static adjustment; reduces the risk of atomization efficiency decline and nozzle clogging caused by liquid performance attenuation through coordinated evaluation of gas-liquid state; and improves the odor removal efficiency under complex working conditions through the synergistic effect of activated carbon filter layer and dynamic spraying.

[0052] The spray rate adjustment model is:

[0053] Q target =R target ·F g =Q current (1+kK c )

[0054] Among them, Q target is the target spraying volume, R target =R currret (1+kK c ) is the target liquid-gas ratio, F g is the gas flow rate, is the current liquid-gas ratio, Q current is the current spraying volume, k is the adjustment gain coefficient, K c is the gas-liquid synergy coefficient.

[0055] Among them, the target spray volume refers to the spray flow rate of the purified liquid obtained by dynamic calculation based on the real-time working conditions. It can be achieved by the linkage control of the flow sensor and the regulating valve to match the exhaust gas treatment needs. The target liquid-gas ratio refers to the volume ratio of the purified liquid to the exhaust gas. It can be dynamically adjusted by a proportional controller to quantify the intensity of the gas-liquid interaction. The adjustment gain coefficient refers to the control parameter of the spray volume adjustment range. It can be set by empirical values ​​or adaptive algorithms to balance the adjustment speed and system stability. The gas-liquid synergy coefficient refers to a quantitative indicator of the degree of matching between the exhaust gas state and the purified liquid state. It can be obtained by multi-sensor data fusion calculation to reflect the system synergy defects and achieve spray volume adjustment by adjusting the power of the circulating pump 10.

[0056] Specifically, the spray volume regulation model dynamically calculates the target spray volume by obtaining the gas flow rate, current spray volume and gas-liquid synergy coefficient in real time. When the gas-liquid synergy coefficient increases, it means that the synergy between the exhaust gas and the purified liquid decreases. At this time, the target spray volume is increased proportionally based on the current spray volume, and the increment is controlled by the adjustment gain coefficient. The gas flow rate is used as the denominator in the calculation of the current liquid-gas ratio to ensure that the spray volume adjustment changes synchronously with the gas processing load. The adjustment gain coefficient can limit the fluctuation range of the spray volume and avoid system oscillations caused by sudden changes in the gas-liquid synergy coefficient. The model quantifies the gas-liquid synergy into a regulation parameter through a closed-loop feedback mechanism, directly driving the real-time optimization of the spray volume, thereby eliminating the problem of lag in liquid-gas ratio regulation.

[0057] Compared with existing technologies, traditional devices use fixed liquid-to-gas ratio parameters and cannot dynamically adjust to changes in exhaust gas temperature and humidity or purification liquid viscosity and solids content. This solution establishes a mathematical correlation model to directly couple the gas-liquid synergy coefficient with spray rate regulation, achieving adaptive matching of the liquid-to-gas ratio with operating conditions.

[0058] Through the above technical solution, this application solves the problems of purification efficiency fluctuations and spray system clogging caused by static adjustment in traditional devices. The introduction of the gas-liquid synergy coefficient enables the spray volume adjustment to proactively respond to changes in the state of the exhaust gas and the purified liquid, maintaining a dynamic balance of the liquid-gas ratio through a closed-loop feedback mechanism, and improving odor removal efficiency. The setting of the adjustment gain coefficient avoids energy waste caused by excessive adjustment, while also reducing the risk of nozzle clogging caused by sudden changes in the flow rate of high-solids liquids.

[0059] The gas-liquid synergy evaluation model is:

[0060] K c =K p ·(γ1K g +γ2K l )

[0061] Among them, K c is the gas-liquid synergy coefficient, K c ∈[0,1], the larger the value, the worse the coordination, and the larger the spray adjustment is required, K p is the gas purification coefficient, K g is the gas state coefficient, K l is the liquid state coefficient, γ1 and γ2 are weight coefficients, ∑ i γ i =1,γ i ≥0.

[0062] Among them, the gas-liquid synergy coefficient refers to a comprehensive indicator that quantifies the dynamic relationship between the gas purification effect and the gas-liquid state. Specifically, the normalized numerical range [0,1] can be used to characterize the quality of the synergy. When the coefficient approaches 1, it indicates that the gas-liquid interaction has significantly deteriorated, and the spray volume needs to be increased for compensation. Among them, the weight coefficient refers to the distribution parameter used to adjust the influence of the gas state and liquid state on the synergy. Specifically, it can be dynamically adjusted according to historical operating data using an expert system or machine learning algorithm. For example, in high-humidity exhaust gas scenarios, the weight of the gas state coefficient can be increased to enhance the influence of the gas state on the synergy. Among them, the gas purification coefficient refers to a purification effect evaluation index calculated based on the difference in gas concentration before and after purification. Specifically, it can be dynamically generated by real-time monitoring of the gas concentration before purification, the gas concentration after purification and the emission standard limit, and is used to reflect the current purification system's ability to remove pollutants.

[0063] Specifically, a gas-liquid synergy evaluation model is constructed by weighted fusion of the gas purification coefficient, the gas state coefficient, and the liquid state coefficient. As a pre-factor, the gas purification coefficient directly reflects the actual performance of the current purification system. When the purification effect does not meet the standard, the coefficient increases to trigger a synergy evaluation. The gas state coefficient and the liquid state coefficient are calculated by standardizing parameters such as temperature deviation, humidity deviation, flow load, temperature deviation, viscosity, and solid content, respectively. The weight coefficient dynamically adjusts the contribution ratio of the two according to the working conditions. For example, when the liquid viscosity increases abnormally and causes a decrease in atomization efficiency, the weight of the liquid state coefficient is increased, so that the gas-liquid synergy coefficient more sensitively reflects the impact of the deterioration of the liquid state on the overall synergy. The synergy coefficient thus generated is input into the spray volume adjustment model to drive the increase or decrease of the spray volume in real time, avoiding the lag caused by traditional static adjustment.

[0064] Compared with the existing technology, the traditional method only relies on fixed parameters or single state parameters for spray adjustment, and does not establish a dynamic coupling relationship between the gas-liquid state and the purification effect. In the existing technology, when the gas flow or temperature fluctuates, the spray volume cannot respond to changes in liquid viscosity or solid content in a timely manner, resulting in an imbalance in the liquid-gas ratio. However, this solution dynamically allocates the evaluation weights of the gas-liquid state by introducing a weight coefficient, and corrects the synergy coefficient in real time based on the purification effect, thereby achieving synergistic optimization of the gas-liquid two-phase state. For example, when the adsorption efficiency of the activated carbon filter layer decreases due to high-humidity exhaust gas, the model responds to the impact of gas state changes on synergy by increasing the weight of the gas state coefficient, thereby adjusting the spray volume in advance to compensate for the loss of purification capacity.

[0065] Through the above technical solution, this application solves the problems of delayed liquid-gas ratio adjustment and unstable purification efficiency caused by the lack of gas-liquid synergy assessment in traditional devices. By dynamically integrating the quantitative parameters of gas purification effect, gas state, and liquid state, it achieves real-time optimization and adjustment of spray volume as the gas-liquid two-phase state fluctuates.

[0066] The gas state evaluation model is constructed based on the gas state information to output the gas state coefficient, wherein the gas state information includes gas temperature, gas humidity and gas flow rate;

[0067] The gas state evaluation model is:

[0068]

[0069] Among them, K g is the gas state coefficient, K g ∈[0,1], the larger the value, the worse the exhaust gas condition, α1, α2 and α3 are weight coefficients, ∑ i α i =1,α i ≥0, T g is the gas temperature, H g is the gas humidity, F g is the gas flow rate, T g,max is the maximum allowable gas temperature, T g,min is the minimum value allowed for the gas temperature, H g,max is the maximum value allowed for gas humidity, H g,min is the minimum value allowed for gas humidity, F g,max is the maximum design value of gas flow;

[0070] To standardize the temperature deviation, the larger the value, the higher the temperature and the greater the difficulty. To standardize the humidity deviation, the larger the value, the lower the humidity and the greater the difficulty (low humidity is not conducive to particle wetting). To normalize traffic load, larger values ​​indicate higher traffic and greater difficulty.

[0071] Among them, the standardized temperature deviation refers to the normalization of the actual gas temperature with the allowable temperature range. Specifically, a temperature sensor can be used to measure the real-time temperature, and the deviation value can be calculated through linear mapping. It is used to reflect the problems of intensified gas diffusion and accelerated evaporation of the purification liquid caused by high temperature. The standardized humidity deviation refers to the normalization of the actual gas humidity with the allowable humidity range. Specifically, a humidity sensor can be used to measure the real-time humidity, and the deviation value can be calculated through inverse linear mapping. It is used to reflect the problem of reduced contact efficiency between gas and purification liquid under low humidity. The standardized flow load refers to the normalization of the actual gas flow with the maximum design flow. Specifically, a flow meter can be used to measure the real-time flow, and the load value can be calculated by ratio. It is used to reflect the problem of insufficient gas residence time under high flow. The weight coefficient refers to the coefficient that dynamically adjusts the priority of each parameter according to the actual working conditions. Specifically, it can use a preset empirical value or be optimized through a machine learning algorithm to balance the weight of the influence of different parameters on the processing difficulty.

[0072] Specifically, the temperature sensor, humidity sensor, and flow meter respectively collect exhaust gas temperature, humidity, and flow data in real time, and input the raw data into the gas state evaluation model for normalization. The standardized temperature deviation converts the temperature value into a relative deviation between 0 and 1 through linear mapping. The higher the temperature, the larger the deviation value, indicating that the gas diffusion caused by high temperature is aggravated and the spray volume needs to be increased. The standardized humidity deviation converts the humidity value into a relative deviation between 0 and 1 through reverse linear mapping. The lower the humidity, the larger the deviation value, indicating that the contact efficiency between the gas and the purification liquid is reduced under low humidity and the spray parameters need to be adjusted. The standardized flow load converts the flow value into a relative load between 0 and 1 through proportional calculation. The higher the flow rate, the larger the load value, indicating that the gas residence time is insufficient under high flow and the spray intensity needs to be increased. The weighted sum of the three parameters reflects the priority differences under different working conditions through preset or optimized weight coefficients.

[0073] Compared with existing technologies, traditional devices only perform static adjustments based on a single gas parameter, for example, responding only to temperature changes while ignoring the coupled effects of humidity and flow. This solution quantifies the state fluctuations in the three dimensions of temperature, humidity, and flow into a unified coefficient through multi-parameter normalization and dynamic weight allocation, solving the problem that traditional methods cannot dynamically evaluate the impact of complex parameters on processing difficulty. For example, when high temperature and high flow occur simultaneously, the model accurately identifies the peak of processing difficulty and triggers spray volume adjustment by superimposing standardized temperature deviation and flow load, while traditional methods may fail to make adequate adjustments due to responding only to temperature.

[0074] Through the above technical solution, this application realizes the dynamic quantitative evaluation of exhaust gas temperature, humidity and flow fluctuations, and solves the problem of spray volume adjustment lag caused by isolated parameter judgment in traditional devices. Through normalization processing, multi-source heterogeneous data is converted into comparable dimensions, and the influence of different parameters is dynamically balanced by weight coefficients, so that spray adjustment can accurately respond to changes in complex working conditions and avoid the decline in purification efficiency under high temperature, low humidity and high flow conditions. At the same time, the quantitative evaluation model provides calculable input parameters for subsequent gas-liquid coordinated control, reducing the risk of system stability caused by parameter coupling effects.

[0075] The liquid state evaluation model is constructed based on the liquid state information to output the liquid state coefficient, wherein the liquid state information includes liquid temperature, liquid viscosity and liquid solid content;

[0076] The liquid state evaluation model is:

[0077]

[0078] Among them, K l is the liquid state coefficient, K l∈[0,1], the larger the value, the worse the liquid state, β1, β2 and β3 are weight coefficients, ∑ i β i =1,β i ≥0, T l is the liquid temperature, μ l is the liquid viscosity, S l is the liquid solid content, T l,opt is the optimal temperature of the liquid, T l,max is the maximum allowable liquid temperature, T l,min is the minimum value allowed for the liquid temperature, μ l,max is the maximum value allowed for liquid viscosity, μ l,min is the minimum value allowed for liquid viscosity, S l,max is the maximum value allowed for the liquid solid content;

[0079] It is the standardized temperature deviation. The larger the value, the more the temperature deviates from the optimal value and the worse the state. The value is the standardized viscosity. The larger the value, the higher the viscosity and the worse the state (high viscosity reduces atomization efficiency). The values ​​are normalized for solid content, with larger values ​​indicating higher solid content and worse condition (high solid content increases the risk of clogging).

[0080] Among them, liquid temperature refers to the actual temperature of the purified liquid. Specifically, it can be monitored in real time by a temperature sensor. By calculating the ratio of the absolute deviation from the optimal temperature to the allowable temperature range, the impact of temperature deviation on the purification effect can be quantified. Among them, liquid viscosity refers to the flow resistance characteristics of the purified liquid. Specifically, it can be measured online by a viscometer. The relative position of the viscosity value within the allowable range reflects the degree of decrease in atomization efficiency caused by increased viscosity. Among them, liquid solid content refers to the concentration of suspended solid particles in the purified liquid. Specifically, it can be detected by a turbidity sensor or centrifugal separation method. The proportion of the actual content to the maximum allowable value is used to characterize the clogging risk. Among them, the weight coefficients β1, β2 and β3 refer to the contribution distribution factors of each state parameter. Specifically, they can use preset values ​​or dynamically adjust according to the working conditions. Multiple parameters are converted into a single evaluation index through weighted fusion.

[0081] Specifically, the liquid state evaluation model converts the three dynamic parameters of temperature, viscosity, and solid content into dimensionless indicators through standardization. The temperature deviation calculates the ratio of the difference between the actual temperature and the optimal temperature to the allowable temperature range. For example, when the liquid temperature exceeds the optimal range, the indicator increases. The viscosity indicator reflects the degree of deterioration of the flow performance through the relative position of the actual viscosity and the allowable viscosity range. For example, increased viscosity will lead to reduced atomization efficiency of the nozzle. The solid content indicator directly represents the clogging risk as the ratio of the actual value to the maximum allowable value. After the three indicators are fused with the weight coefficient, the output liquid state coefficient comprehensively reflects the degree of deterioration of the overall state of the liquid. This coefficient serves as the input parameter of the spray volume adjustment model, driving the system to dynamically adjust the liquid-gas ratio.

[0082] Compared with existing technologies, traditional devices only monitor a single liquid parameter and use fixed thresholds, making it impossible to quantify the synergistic degradation effects of multiple parameters. This solution, by building a multi-parameter fusion model, can assess the overall liquid state in real time. When the solids content does not reach the threshold but the temperature and viscosity are abnormal, the spray volume can be adjusted in advance to avoid system blockage.

[0083] Through the above technical solution, this application achieves dynamic quantitative assessment of liquid temperature, viscosity, and solids content, resolving the problems of fluctuating purification efficiency and spray system clogging caused by isolated parameter judgment in traditional devices. Through standardization and weight allocation, the model can identify the coordinated degradation trends of multiple parameters, providing a precise basis for spray volume adjustment, thereby reducing maintenance frequency and improving odor removal stability.

[0084] The purification evaluation model is constructed based on the purified gas information to output the gas purification coefficient, wherein the purified gas information includes the gas concentration before purification, the gas concentration after purification, and the maximum allowable gas emission concentration;

[0085] The purification evaluation model is:

[0086]

[0087] Among them, K p is the gas purification coefficient, K p ∈[0,1], the larger the value, the worse the purification effect. is the current removal rate, is the required removal rate, C in >C out >0, C max is the maximum allowable concentration of exhaust gas particles, C in is the gas particle concentration before purification, C out is the particle concentration in the gas after purification.

[0088] The purification evaluation model is in the form of a piecewise function. When the current removal rate does not reach the required removal rate, the gas purification coefficient increases linearly with the removal rate gap, triggering the spray volume adjustment mechanism; when the removal rate reaches the standard, the gas purification coefficient returns to zero and excessive spraying stops.

[0089] The pre-purification gas concentration refers to the initial concentration of particulate matter in the exhaust gas before it enters the spray device. This can be detected in real time using an online gas sensor and is used to calculate the current purification system's processing load. The post-purification gas concentration refers to the concentration of particulate matter in the gas after spraying. It is monitored by sensors and used to evaluate the actual purification effect. The maximum allowable emission concentration refers to the emission limit specified by environmental protection regulations or the emission limit established by the individual, which serves as the benchmark threshold for dynamic adjustment. The current removal rate refers to the actual removal ratio of particulate matter by the current purification system, calculated by the difference in concentration before and after purification. The required removal rate refers to the minimum removal ratio that must be achieved to meet emission standards, determined by the relationship between the pre-purification concentration and the emission limit. The gas purification coefficient quantifies the gap between the current purification effect and the target requirement. When the actual removal rate is lower than the target, the coefficient increases linearly with the increase in the gap, driving an increase in the spray volume.

[0090] Specifically, the current removal rate is calculated by collecting the gas concentration before and after purification in real time. At the same time, the required removal rate is derived based on the ratio of the concentration before purification to the emission standard limit. When it is detected that the current removal rate does not meet the standard, the gas purification coefficient increases according to the formula, triggering the spray volume adjustment module to increase the liquid-gas ratio. When the removal rate meets the emission requirements, K p Automatically reset to zero and stop unnecessary spraying operations. This model establishes a direct mathematical relationship between purification effect and adjustment intensity, ensuring that the spray volume always accurately matches the real-time purification demand. This avoids the adjustment lag in traditional fixed parameter mode and prevents liquid waste caused by excessive spraying.

[0091] Compared with existing technologies, traditional devices only adjust the spray rate based on preset parameters and lack closed-loop feedback on the actual purification effect. This solution forms a real-time feedback adjustment mechanism by online monitoring of concentrations before and after purification and dynamically calculating the removal rate gap in combination with emission standards. In existing technologies, spray volume adjustment relies on manual experience or fixed thresholds, which cannot cope with fluctuations in exhaust gas concentration and can easily lead to insufficient purification or waste of resources. This solution establishes a mathematical relationship between purification effect and adjustment coefficient, achieving automatic matching of the removal rate gap and spray intensity, ensuring that liquid consumption is minimized while meeting emission standards.

[0092] Through the above-mentioned technical solution, this application solves the regulation lag problem caused by the lack of feedback on purification effects in traditional devices, enabling the spray volume to be automatically adjusted according to real-time purification needs. When the exhaust gas concentration suddenly increases, the system responds quickly by increasing the spray volume to maintain stable purification efficiency; when the concentration drops to a safe range, the spray volume is automatically reduced to avoid wasting resources. At the same time, by introducing emission standard thresholds, the purification effect is ensured to always meet regulatory requirements, reducing the frequency of equipment downtime and maintenance due to substandard purification.

[0093] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A device for treating odor in a furfural production workshop, comprising a spray housing, wherein an air inlet is fixed on the side wall of the spray housing, characterized in that: Also includes: An activated carbon filter layer is installed on the top of the spray shell, a conical exhaust shell is installed on the top of the activated carbon filter layer, and a spray mechanism is provided in the spray shell, and the spray mechanism is used to spray the purification liquid into the spray shell; The spray volume real-time adjustment system is used to adjust the flow rate of the spray purification liquid in the spray shell in real time. The spray volume real-time adjustment system includes: An information acquisition module is used to obtain gas state information of the gas entering the air inlet, liquid state information of the purification liquid, and information of the purified gas below the activated carbon filter layer; The gas state evaluation module builds a gas state evaluation model based on the gas state information and outputs the gas state coefficient; The liquid state evaluation module constructs a liquid state evaluation model based on the liquid state information and outputs the liquid state coefficient; The purification evaluation module builds a purification evaluation model based on the purified gas information and outputs the gas purification coefficient; The gas-liquid synergy evaluation module constructs a gas-liquid synergy evaluation model based on the gas state coefficient and the liquid state coefficient under the current gas purification coefficient and outputs the gas-liquid synergy coefficient; The spray rate adjustment module builds a spray rate adjustment model based on the current spray rate and the gas-liquid synergy coefficient to output the target spray rate and adjust the current spray rate to the target spray rate.

2. The device for treating odor in a furfural production workshop according to claim 1, wherein: The spray rate adjustment model is: Q tareget =R targte ·F g =Q current (1+kK c ) Among them, Q target is the target spraying volume, R target =R currret (1+kK c ) is the target liquid-gas ratio, F g is the gas flow rate, is the current liquid-gas ratio, Q current is the current spraying volume, k is the adjustment gain coefficient, K c is the gas-liquid synergy coefficient.

3. The device for treating odor in a furfural production workshop according to claim 2, wherein: The gas-liquid synergy evaluation model is: K c =K p ·(γ1K g +γ2K l ) Among them, K c is the gas-liquid synergy coefficient, K c ∈[0,1],K p is the gas purification coefficient, K g is the gas state coefficient, K l is the liquid state coefficient, γ1 and γ2 are weight coefficients, ∑ i γ i =1,γ i ≥0.

4. The device for treating odor in a furfural production workshop according to claim 3, wherein: The gas state evaluation model is constructed based on the gas state information to output the gas state coefficient, wherein the gas state information includes gas temperature, gas humidity and gas flow rate; The gas state evaluation model is: Among them, K g is the gas state coefficient, K g ∈[0,1], α1, α2 and α3 are weight coefficients, ∑ i α i =1,α i ≥0, T g is the gas temperature, H g is the gas humidity, F g is the gas flow rate, T g,max is the maximum allowable gas temperature, T g,min is the minimum value allowed for the gas temperature, H g,max is the maximum value allowed for gas humidity, H g,min is the minimum value allowed for gas humidity, F g,max It is the maximum design value of gas flow.

5. The device for treating odor in a furfural production workshop according to claim 3, characterized in that: The liquid state evaluation model is constructed based on the liquid state information to output the liquid state coefficient, wherein the liquid state information includes liquid temperature, liquid viscosity and liquid solid content; The liquid state evaluation model is: Among them, K l is the liquid state coefficient, K l ∈[0,1], β1, β2 and β3 are weight coefficients, ∑ i β i =1,β i ≥0, T l is the liquid temperature, μ l is the liquid viscosity, S l is the liquid solid content, T l,opt is the optimal temperature of the liquid, T l,max is the maximum allowable liquid temperature, T l,min is the minimum value allowed for the liquid temperature, μ l,max is the maximum value allowed for liquid viscosity, μ l,min is the minimum value allowed for liquid viscosity, S l,max It is the maximum allowable solid content of the liquid.

6. The device for treating odor in a furfural production workshop according to claim 5, characterized in that: The purification evaluation model is constructed based on the purified gas information to output the gas purification coefficient, wherein the purified gas information includes the gas concentration before purification, the gas concentration after purification, and the maximum allowable gas emission concentration; The purification evaluation model is: Among them, K p is the gas purification coefficient, K p ∈[0,1], the larger the value, the worse the purification effect. is the current removal rate, is the required removal rate, C in >C out >0, C max is the maximum allowable concentration of exhaust gas particles, C in is the gas particle concentration before purification, C out is the particle concentration in the gas after purification.

7. The device for treating odor in a furfural production workshop according to claim 1, characterized in that: The spray mechanism includes two filler support frames installed in sequence from top to bottom in the spray shell, the two filler support frames are located between the activated carbon filter layer and the air inlet, and auxiliary pipes are fixed above the two filler support frames in the spray shell. Multiple extension pipes are installed on the auxiliary pipes, and multiple nozzles are installed on the extension pipes and the auxiliary pipes. A liquid supply assembly is installed on the side wall of the spray shell.

8. The device for treating odor in a furfural production workshop according to claim 7, characterized in that: The liquid supply assembly includes a bottom support frame installed at the bottom of the spray shell, a water tank and a circulation pump are installed on the bottom support frame, the input end of the circulation pump is connected to the water tank, the output end of the circulation pump is connected to the main pipeline, and the main pipeline is connected to two secondary pipelines.

9. The device for treating odor in a furfural production workshop according to claim 8, characterized in that: The bottom of the spray shell is communicated with the water tank, and a filter is installed below the air inlet in the spray shell.

10. The device for treating odor in a furfural production workshop according to claim 1, characterized in that: A demister is installed below the activated carbon filter layer in the spray shell.

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