A method and system for treating waste gas from injection molding production

Abstract

The present invention relates to the treatment of waste gas produced by automobile injection molding lines. An embodiment of the present invention provides a method for treating waste gas produced by injection molding lines, comprising: collecting waste gas generated in each link of the injection molding line into a waste gas collection chamber and performing waste gas detection by level to obtain waste gas detection data at different levels; determining valve opening parameters at each level based on the waste gas detection data at different levels; and controlling the intelligent valves at each level based on the valve opening parameters at each level. By arranging waste gas detection sensors by level in the waste gas collection chamber, it is possible to achieve hierarchical and refined collection and detection of waste gas generated in each link of the injection molding line. Based on the waste gas detection data, it is possible to intelligently and accurately determine the valve opening parameters at each level, including the opening time point, opening duration, and opening angle, thereby improving the efficiency of waste gas collection and treatment, improving the accuracy of waste gas treatment, and thereby enhancing environmental performance and compliance.

Description

Technical Field

[0001] The present invention relates to the technical field of waste gas treatment of injection molding lines, and in particular to a method and system for treating waste gas produced by injection molding lines. Background Art

[0002] During the production process of the injection molding line, corresponding waste gases are generated due to the heating, injection molding, cooling and subsequent processing of plastic raw materials. These waste gases often contain volatile organic compounds (VOCs), particulate matter, harmful gases and other pollutants, which have a serious impact on the production environment and the surrounding air quality. Traditional waste gas treatment methods often use a single collection and treatment system, resulting in low treatment efficiency, high energy consumption, and difficulty in meeting the specific treatment requirements of different types of waste gases. In addition, traditional waste gas treatment methods lack accurate waste gas monitoring and control mechanisms, making it difficult to achieve the best results in the waste gas treatment process, which not only increases operating costs, but also may face environmental compliance risks due to substandard treatment. In response to the above problems, there is an urgent need to develop a precise and efficient waste gas treatment solution for injection molding lines. Summary of the Invention

[0003] An embodiment of the present invention provides a method for treating waste gas produced by an injection molding line, aiming to address the problem of traditional waste gas treatment methods lacking precise waste gas monitoring and control mechanisms, thereby providing a precise and efficient solution for treating waste gas produced by injection molding lines. By disposing waste gas detection sensors in a hierarchical manner within the waste gas collection chamber, it is possible to achieve hierarchical and refined collection and detection of waste gas generated at each stage of the injection molding line. Based on the waste gas detection data, the valve opening parameters for each level can be intelligently and accurately determined, including the opening time point, opening duration, and opening angle. This improves the efficiency of waste gas collection and treatment, enhances the accuracy of waste gas treatment, and thereby enhances environmental performance and compliance.

[0004] In a first aspect, an embodiment of the present invention provides a method for treating waste gas produced by an injection molding line, which is used in an injection molding line waste gas treatment system. The injection molding line waste gas treatment system includes a waste gas collection chamber, a plurality of waste gas treatment pipelines, and a plurality of waste gas treatment chambers. The waste gas collection chamber is provided with waste gas detection sensors according to the level. The waste gas collection chamber is connected to the waste gas treatment pipeline of the corresponding level through smart valves at different levels. The waste gas treatment pipeline is connected to the corresponding waste gas treatment chamber, including:

[0005] Collect the waste gas generated in each link of the injection molding line into the waste gas collection room and conduct waste gas detection by level to obtain waste gas detection data at different levels;

[0006] Determining valve opening parameters at each level based on the exhaust gas detection data at different levels, the valve opening parameters including opening time, opening duration, and opening angle;

[0007] Based on the valve opening parameters of each level, the smart valves of each level are controlled so that the exhaust gas corresponding to the level is transported to the corresponding exhaust gas treatment chamber through the corresponding exhaust gas treatment pipeline for exhaust gas treatment when the smart valve is opened.

[0008] Furthermore, the step of collecting the waste gas generated in each link of the injection molding line into the waste gas collection chamber and performing waste gas detection according to the level to obtain waste gas detection data at different levels includes:

[0009] Collect the waste gas generated in each link of the injection molding line into the waste gas collection chamber and process it by static deposition for a preset period of time;

[0010] During the preset time period, exhaust gas detection is performed by the exhaust gas detection sensors at each level to obtain exhaust gas detection data corresponding to each level.

[0011] Furthermore, the step of determining valve opening parameters at each level based on the exhaust gas detection data at different levels includes:

[0012] Determining, based on the exhaust gas detection data corresponding to each of the levels, a component-concentration curve corresponding to each of the levels within the preset time period, wherein each level corresponds to a group of the component-concentration curves, and each group of the component-concentration curves includes at least one component-concentration curve;

[0013] Based on each group of component-concentration curves, valve opening parameters for each level are determined.

[0014] Furthermore, the step of determining the valve opening parameters of each level based on each group of component-concentration curves includes:

[0015] In each group of the component-concentration curves, each component-concentration curve is divided into time periods to obtain curve segments corresponding to each component-concentration curve;

[0016] Calculating the slope value of each curve segment to obtain a slope value sequence corresponding to each component-concentration curve;

[0017] Determining a slope value matrix corresponding to each group of the component-concentration curves based on the slope value sequence;

[0018] Based on the slope value matrix corresponding to each group of the component-concentration curves, the valve opening parameters corresponding to the level are determined.

[0019] Furthermore, the step of determining a slope value matrix corresponding to each group of the component-concentration curves based on the slope value sequence includes:

[0020] The slope value sequences corresponding to each group of the component-concentration curves are sorted according to a preset component order and aligned according to the time period to obtain a slope value matrix corresponding to each group of the component-concentration curves.

[0021] Furthermore, based on the slope value matrix corresponding to each group of the component-concentration curves, the step of determining the valve opening parameter corresponding to the level includes:

[0022] Performing feature extraction on the slope value matrix corresponding to each group of the component-concentration curves to obtain the component-concentration change characteristic value corresponding to the level;

[0023] The component-concentration change characteristic values ​​are classified into valve opening parameters to obtain valve opening parameters of the hierarchy.

[0024] Furthermore, the step of determining valve opening parameters at each level based on the exhaust gas detection data at different levels includes:

[0025] Obtaining a mapping table for each of the levels, the mapping table including a mapping relationship between reference exhaust gas data corresponding to the level and a reference valve opening parameter;

[0026] Based on the exhaust gas detection data of different levels and the mapping tables corresponding to each level, the valve opening parameters of each level are determined.

[0027] In the second aspect, an embodiment of the present invention further provides an injection molding line production waste gas treatment system, which includes a controller, a waste gas collection chamber, a plurality of waste gas treatment pipelines and a plurality of waste gas treatment chambers. Waste gas detection sensors are arranged in the waste gas collection chamber according to the level. The waste gas collection chamber is connected to the waste gas treatment pipeline of the corresponding level through smart valves at different levels. The waste gas treatment pipeline is connected to the corresponding waste gas treatment chamber. The controller is connected to the smart valve signals at different levels. The controller is used to implement the injection molding line production waste gas treatment method as described in any one of the embodiments of the present invention.

[0028] In an embodiment of the present invention, exhaust gas generated at each stage of an injection molding line is collected in an exhaust gas collection chamber and subjected to exhaust gas detection by level, obtaining exhaust gas detection data at each level. Based on the exhaust gas detection data at each level, valve opening parameters for each level are determined, including the opening time, opening duration, and opening angle. Based on the valve opening parameters at each level, the smart valves at each level are controlled so that, when the smart valves are open, the exhaust gas at the corresponding level is transported through the corresponding exhaust gas treatment pipeline to the corresponding exhaust gas treatment chamber for treatment. By disposing exhaust gas detection sensors by level in the exhaust gas collection chamber, hierarchical and refined collection and detection of exhaust gas generated at each stage of the injection molding line is achieved. Based on the exhaust gas detection data, valve opening parameters for each level, including the opening time, opening duration, and opening angle, can be intelligently and accurately determined, thereby improving the efficiency of exhaust gas collection and treatment, enhancing the accuracy of exhaust gas treatment, and thereby enhancing environmental performance and compliance. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0030] Figure 1 This is an architectural diagram of an injection molding line production waste gas treatment system provided by an embodiment of the present invention;

[0031] Figure 2 This is a flow chart of a method for treating waste gas from injection molding production provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0033] like Figure 1 As shown, Figure 1This is a schematic diagram of the architecture of an injection molding line production waste gas treatment system provided by an embodiment of the present invention. The injection molding line production waste gas treatment system includes a controller, a waste gas collection chamber, a plurality of waste gas treatment pipelines, and a plurality of waste gas treatment chambers. The waste gas collection chambers are hierarchically equipped with waste gas detection sensors. The waste gas collection chambers are connected to the waste gas treatment pipelines at the corresponding level through smart valves at different levels. The waste gas treatment pipelines are connected to the corresponding waste gas treatment chambers.

[0034] The controller is connected to the smart valve signals at different levels. There is a program corresponding to the plastic line production waste gas treatment method in the controller. When running at this level, the waste gas generated in each link of the injection molding line is collected into the waste gas collection chamber for waste gas detection by level to obtain waste gas detection data at different levels; based on the waste gas detection data at different levels, the valve opening parameters of each level are determined, and the valve opening parameters include the opening time point, opening duration and opening angle; based on the valve opening parameters of each level, the smart valves at each level are controlled so that when the smart valve is opened, the waste gas at the corresponding level is transported to the corresponding waste gas treatment chamber through the corresponding waste gas treatment pipeline for waste gas treatment.

[0035] The controller is connected to the smart valves at different levels via signal lines. The controller, which has a built-in program for waste gas treatment methods for injection molding production, is responsible for controlling the operation of the entire system.

[0036] Exhaust gas collection chambers are equipped with exhaust gas detection sensors at different levels, connected to the exhaust gas treatment pipelines at the corresponding levels through intelligent valves. They are used to collect exhaust gas generated in various links of the injection molding line, and then classify and detect it.

[0037] One end of the exhaust gas treatment pipeline is connected to the intelligent valve of the exhaust gas collection chamber, and the other end is connected to the corresponding exhaust gas treatment chamber. It serves as a channel for exhaust gas transportation, transporting exhaust gas from the exhaust gas collection chamber to the exhaust gas treatment chamber.

[0038] The exhaust gas collection chamber is connected to the exhaust gas collection chamber through the exhaust gas treatment pipeline. The exhaust gas transported is treated to ensure that it meets the emission standards.

[0039] Exhaust gas generated at each stage of the injection molding line is collected in an exhaust gas collection chamber. Exhaust gas sensors detect exhaust gas at each level, generating exhaust gas detection data for each level. The controller receives this data and runs a built-in exhaust gas treatment program. Based on this data, the controller determines valve opening parameters for each level, including the opening time, duration, and angle. Based on these determined valve opening parameters, the controller controls the intelligent valves at each level.

[0040] When the intelligent valve is opened, the exhaust gas of the corresponding level is transported to the corresponding exhaust gas treatment room through the exhaust gas treatment pipeline for exhaust gas treatment.

[0041] The controller can be selected according to system requirements and budget, such as PLC (Programmable Logic Controller), DCS (Distributed Control System) or dedicated exhaust gas treatment controller.

[0042] Exhaust gas detection sensors can choose different types of gas sensors according to the exhaust gas composition and concentration range, such as PID (photoionization detector), electrochemical sensor, infrared sensor, etc.

[0043] Smart valves can be driven by electric actuators, pneumatic actuators, or hydraulic actuators depending on system requirements and valve types.

[0044] Depending on the waste gas treatment process and emission standards, the waste gas treatment room can choose different waste gas treatment equipment, such as activated carbon adsorption devices, catalytic combustion devices, wet oxidation devices, etc. Selection considerations include treatment efficiency, floor space, operating costs, ease of maintenance, and price.

[0045] In an embodiment of the present invention, the injection molding line production waste gas treatment system achieves effective collection, detection, and treatment of injection molding line production waste gas through the close cooperation of modules such as the controller, waste gas collection chamber, waste gas treatment pipeline, and waste gas treatment chamber. By disposing waste gas detection sensors according to the level in the waste gas collection chamber, it is possible to achieve hierarchical and refined collection and detection of waste gas generated by each link of the injection molding line. Based on the waste gas detection data, the valve opening parameters of each level can be intelligently and accurately determined, including the opening time point, opening duration, and opening angle. This improves the efficiency of waste gas collection and treatment, improves the accuracy of waste gas treatment, and thus enhances environmental performance and compliance.

[0046] like Figure 1 As shown, Figure 1 This is a method flow chart of a method for treating waste gas produced by an injection molding line provided by an embodiment of the present invention. The method for treating waste gas produced by an injection molding line is applied to a waste gas treatment system for an injection molding line, the waste gas treatment system for an injection molding line includes a controller, a waste gas collection chamber, a plurality of waste gas treatment pipelines, and a plurality of waste gas treatment chambers. Waste gas detection sensors are arranged in the waste gas collection chambers according to the levels. The waste gas collection chambers are connected to the waste gas treatment pipelines of the corresponding levels through smart valves at different levels. The waste gas treatment pipelines are connected to the corresponding waste gas treatment chambers. The controller is connected to the smart valve signals at different levels. The method for treating waste gas produced by an injection molding line is specifically applied to the controller in the waste gas treatment system for an injection molding line. The method for treating waste gas produced by an injection molding line includes the following steps:

[0047] S 1. Collect the waste gas generated in each link of the injection molding line into the waste gas collection room and perform waste gas detection according to the level to obtain waste gas detection data at different levels;

[0048] S2. Determining valve opening parameters at each level based on the exhaust gas detection data at different levels, the valve opening parameters including opening time, opening duration, and opening angle;

[0049] S3. Based on the valve opening parameters of each level, the smart valves of each level are controlled so that the exhaust gas corresponding to the level is transported to the corresponding exhaust gas treatment chamber through the corresponding exhaust gas treatment pipeline for exhaust gas treatment when the smart valve is opened.

[0050] In this embodiment, the exhaust gas collection chamber is the starting point of the entire treatment system, responsible for collecting exhaust gas from all links of the injection molding line. To accurately monitor the composition of the exhaust gas, exhaust gas detection sensors are arranged in layers within the exhaust gas collection chamber. These sensors can monitor the composition and concentration of the exhaust gas in real time, providing data support for subsequent exhaust gas treatment. The significance of the hierarchical setting is that exhaust gas at different levels may contain different pollutant compositions and concentrations. Through layered detection, the characteristics of the exhaust gas can be more detailed, thereby formulating more targeted treatment strategies.

[0051] In one possible embodiment, waste gas generated by each link of the injection molding line is collected into a waste gas collection chamber via a waste gas collection pipeline. The waste gas collection pipeline and the waste gas collection chamber are controlled by a valve. When the valve is open, waste gas generated by each link of the injection molding line is collected into the waste gas collection chamber via the waste gas collection pipeline. When the valve is closed, subsequent waste gas treatment from the injection molding line is carried out. The valve can be an intelligent valve or can be controlled by a controller.

[0052] The exhaust gas collection chamber is connected to the corresponding exhaust gas treatment pipelines via intelligent valves at different levels. The intelligent valves dynamically adjust their opening status based on exhaust gas detection data to control the direction and flow of exhaust gas. Valve opening parameters, including opening time, duration, and angle, are key to the control strategy. These parameters are determined based on exhaust gas detection data and analyzed through algorithms to achieve optimal distribution and treatment of exhaust gas.

[0053] Specifically, the timing of the opening is designed to ensure that exhaust gas is promptly directed to the treatment pipeline after generation, preventing accumulation in the collection chamber and secondary pollution. The duration of the opening must be determined based on the treatment capacity of the exhaust treatment chamber and the rate of exhaust generation, ensuring that treatment efficiency matches the amount of exhaust generated. Adjusting the opening angle precisely controls the exhaust gas flow rate, preventing excessive or insufficient flow from adversely affecting treatment effectiveness.

[0054] As a bridge connecting the exhaust gas collection chamber and the exhaust gas treatment room, the exhaust gas treatment pipeline should be as simple and efficient as possible to minimize the residence time and energy loss of the exhaust gas in the pipeline. The pipeline design also needs to consider the composition and properties of the exhaust gas. For corrosive or flammable and explosive exhaust gases, special piping materials and sealing measures are required to ensure safety.

[0055] The exhaust gas treatment chamber is the final stage of waste gas treatment. Depending on the composition and concentration of the waste gas, different treatment processes can be employed, such as adsorption, absorption, catalytic oxidation, and biological treatment. Exhaust gas containing hazardous substances must be converted to harmless or less harmful substances through chemical or physical methods. For odorous gases, deodorization technology can be used. The design of the exhaust gas treatment chamber should fully consider factors such as treatment efficiency, energy consumption, and operating costs to achieve a balance between economic and environmental benefits.

[0056] The accuracy of exhaust gas detection data is directly related to the effectiveness of exhaust gas treatment. Therefore, the selection and placement of exhaust gas detection sensors, as well as data collection and processing, are crucial. Sensors should possess high sensitivity, selectivity, and stability to ensure the reliability of exhaust gas detection data. Exhaust gas detection data collection should be continuous and real-time to promptly reflect exhaust gas changes. Exhaust gas detection data processing includes steps such as data cleaning, feature extraction, and pattern recognition to extract useful information and provide a basis for formulating valve control strategies.

[0057] In one possible embodiment, exhaust gas detection data can be used to plot time-varying curves of exhaust gas composition at different levels, i.e., composition-concentration curves. These curves reflect the changing trends of exhaust gas composition and are an important basis for determining valve opening parameters.

[0058] Specifically, the slope of the component-concentration curve can be analyzed to understand the rate of change of exhaust gas composition. A larger slope indicates a more dramatic change in that component, potentially requiring a larger treatment capacity and faster processing speed. Therefore, by calculating a sequence of slope values ​​and constructing a slope matrix, we can comprehensively evaluate the changing characteristics of exhaust gas composition. Based on these characteristics, more optimal valve opening parameters can be determined for effective exhaust gas treatment.

[0059] In one possible embodiment, a mapping table can be used to map exhaust gas detection data to reference valve opening parameters. This mapping table, based on extensive experimental data and accumulated experience, can provide fast and accurate valve opening parameters for different levels of exhaust gas. This approach simplifies the parameter determination process and improves processing efficiency.

[0060] In one possible embodiment, waste gas with specific components can be pre-treated using specialized treatment devices to reduce the burden of subsequent processing. For larger waste gas volumes, a distributed treatment system can be considered, distributing the waste gas across multiple treatment units for improved efficiency and flexibility. Furthermore, the integration of advanced technologies such as the Internet of Things and big data can enable intelligent and automated management of waste gas treatment, further enhancing treatment effectiveness and management capabilities.

[0061] In an embodiment of the present invention, exhaust gas generated at each stage of an injection molding line is collected in an exhaust gas collection chamber and subjected to exhaust gas detection by level, obtaining exhaust gas detection data at each level. Based on the exhaust gas detection data at each level, valve opening parameters for each level are determined, including the opening time, opening duration, and opening angle. Based on the valve opening parameters at each level, the smart valves at each level are controlled so that, when the smart valves are open, the exhaust gas at the corresponding level is transported through the corresponding exhaust gas treatment pipeline to the corresponding exhaust gas treatment chamber for treatment. By disposing exhaust gas detection sensors by level in the exhaust gas collection chamber, hierarchical and refined collection and detection of exhaust gas generated at each stage of the injection molding line is achieved. Based on the exhaust gas detection data, valve opening parameters for each level, including the opening time, opening duration, and opening angle, can be intelligently and accurately determined, thereby improving the efficiency of exhaust gas collection and treatment, enhancing the accuracy of exhaust gas treatment, and thereby enhancing environmental performance and compliance.

[0062] It is understandable that in the specific implementation of this application, related data such as exhaust gas detection data and valve opening parameters are involved. When the embodiments in this application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0063] Furthermore, the step of collecting the waste gas generated in each link of the injection molding line into the waste gas collection chamber and performing waste gas detection according to the level to obtain waste gas detection data at different levels includes:

[0064] Collect the waste gas generated in each link of the injection molding line into the waste gas collection chamber and process it by static deposition for a preset period of time;

[0065] During the preset time period, exhaust gas detection is performed by the exhaust gas detection sensors at each level to obtain exhaust gas detection data corresponding to each level.

[0066] In the embodiments of the present invention, it should be noted that during the production process of the injection molding line, waste gas containing various components such as volatile organic compounds (VOCs), particulate matter, and harmful gases is generated due to steps such as raw material heating and injection molding. If these waste gases are discharged directly without treatment, they will not only pollute the environment but may also pose a threat to the health of workers. Therefore, the effective collection and hierarchical detection of waste gas are prerequisites for targeted treatment measures.

[0067] As the primary component of the exhaust gas treatment system, the exhaust gas collection chamber's design must consider factors such as exhaust gas generation volume, composition complexity, and treatment efficiency. Exhaust gas detection sensors are arranged in layers within the exhaust gas collection chamber. This design allows for stratified exhaust gas detection, more accurately capturing the distribution of exhaust gas components at different heights. This stratified detection method helps identify heavy and light components in the exhaust gas, providing more accurate data support for subsequent exhaust gas treatment.

[0068] After being collected in the exhaust gas collection chamber, the waste gas undergoes a predetermined period of static settling. This process leverages the physical properties of different exhaust gas components (such as density and settling velocity) to allow heavier particles or droplets to settle naturally under gravity, thereby reducing the burden on the subsequent exhaust gas treatment chamber and improving overall treatment efficiency. The duration of the static settling period needs to be adjusted based on actual conditions, such as exhaust gas composition, temperature, and humidity.

[0069] These sensors must possess high sensitivity, high selectivity, fast response, and long-term stability to ensure accurate measurement of various components and their concentrations in exhaust gas. In tiered detection, sensors at different levels may be optimized for specific exhaust gas components, such as some sensors specifically designed to detect VOCs, while others focus on particulate matter or hazardous gases.

[0070] During a preset time period, exhaust gas detection sensors at various levels conduct continuous or intermittent exhaust gas detection, generating a large amount of exhaust gas detection data. This data includes the types and concentrations of exhaust gas components at different collection time points.

[0071] In one possible embodiment, for exhaust gases with relatively simple components and low concentrations, direct adsorption or filtration can be used for treatment, eliminating the need for complex stratified detection. Furthermore, with the continuous advancement of sensor technology, some new sensors are capable of achieving higher-precision and faster exhaust gas detection, which could also be an option for improving the performance of exhaust gas treatment systems.

[0072] In one possible embodiment, dynamic sealing technology can also be considered for the design of the exhaust gas collection chamber to reduce the leakage and escape of exhaust gas during the collection process. At the same time, combined with an intelligent control system, the switch and flow of the exhaust gas treatment pipeline can be adjusted in real time according to the exhaust gas detection data to further optimize the exhaust gas treatment efficiency. Among them, dynamic sealing technology can adapt to various complex working environments, including harsh conditions such as high temperature, high pressure, and high speed. Through reasonable design and material selection, dynamic sealing technology can achieve higher sealing performance and reduce fluid leakage. Indirect contact dynamic seals reduce the wear rate of seals by reducing the direct contact area between components and seals, thereby extending the service life of seals.

[0073] In this embodiment, through reasonable exhaust gas collection chamber design, static deposition treatment and high-precision exhaust gas detection sensors, effective collection and accurate detection of exhaust gas can be achieved, providing accurate and reliable data support for subsequent exhaust gas treatment.

[0074] Furthermore, the step of determining valve opening parameters at each level based on the exhaust gas detection data at different levels includes:

[0075] Determining, based on the exhaust gas detection data corresponding to each of the levels, a component-concentration curve corresponding to each of the levels within the preset time period, wherein each level corresponds to a group of the component-concentration curves, and each group of the component-concentration curves includes at least one component-concentration curve;

[0076] Based on each group of component-concentration curves, valve opening parameters for each level are determined.

[0077] In the embodiments of the present invention, it should be noted that the core objective of the exhaust gas treatment system is to effectively collect and treat the exhaust gas generated during the injection molding process to reduce environmental pollution. The exhaust gas collection chamber serves as the initial collection point for the exhaust gas. The exhaust gas detection sensors installed within it can monitor the composition and concentration of the exhaust gas in real time. The exhaust gas detection data directly determines the opening strategy of the intelligent valve, namely, when to open, how long to keep it open, and to what extent.

[0078] During a preset time period, the exhaust gas detection sensor continuously monitors the exhaust gas composition and concentration at different levels in the exhaust gas collection chamber.

[0079] For each level, a corresponding component-concentration curve is drawn based on the monitoring data. The component-concentration curve reflects the concentration trend of exhaust gas components over time and is an important basis for formulating valve opening strategies.

[0080] It is worth mentioning that each level can correspond to a set of component-concentration curves, because the exhaust gas may contain multiple harmful components, each of which needs to be monitored and treated separately.

[0081] After obtaining the composition-concentration curves of each layer, it is necessary to analyze the composition-concentration curves, and then the valve opening parameters can be determined based on the analysis results.

[0082] The analysis can focus on characteristics such as the curve shape, peak value, and slope, which can reflect the patterns and trends of exhaust emissions. For example, if the exhaust concentration at a certain level rises rapidly over a short period of time, it may be necessary to open the valve at that level in a timely manner to prevent exhaust gas from overflowing or accumulating.

[0083] In one possible implementation, a machine learning algorithm could be used to build a predictive model for exhaust emissions, using historical data and real-time monitoring data to predict future exhaust emissions. The predicted results could then be used to adjust valve opening parameters in advance for more precise control.

[0084] In one possible embodiment, fuzzy logic control can be used for certain exhaust gas treatment processes that are difficult to accurately model. Fuzzy logic control does not rely on precise mathematical models, but instead develops control strategies based on experience and rules. A fuzzy logic controller can adjust valve opening parameters based on fuzzy information from exhaust gas detection data.

[0085] In one possible implementation, the exhaust gas treatment system is integrated with other control systems on the injection molding line to achieve a higher level of automation and intelligence. This integrated control system can comprehensively consider multiple factors, such as exhaust gas treatment requirements, production efficiency, and energy consumption, to develop a more optimized valve opening strategy.

[0086] In this embodiment, by accurately monitoring and analyzing changes in exhaust gas composition and concentration, a reasonable valve opening strategy can be formulated to achieve efficient and orderly treatment of exhaust gas.

[0087] Furthermore, the step of determining the valve opening parameters of each level based on each group of component-concentration curves includes:

[0088] In each group of the component-concentration curves, each component-concentration curve is divided into time periods to obtain curve segments corresponding to each component-concentration curve;

[0089] Calculating the slope value of each curve segment to obtain a slope value sequence corresponding to each component-concentration curve;

[0090] Determining a slope value matrix corresponding to each group of the component-concentration curves based on the slope value sequence;

[0091] Based on the slope value matrix corresponding to each group of the component-concentration curves, the valve opening parameters corresponding to the level are determined.

[0092] In the embodiments of the present invention, it should be noted that within the exhaust gas collection chamber, exhaust gas detection sensors at different levels monitor the composition and concentration of the exhaust gas in real time, generating a series of composition-concentration curves. These curves reflect the temporal changes of various components in the exhaust gas. To more accurately analyze these changes, each curve can be segmented into time periods.

[0093] The purpose of this time segmentation is to divide the entire curve into several smaller segments, eliminating the impact of local peaks and troughs on the overall curve, allowing for more accurate calculation of the slope of each segment. The slope reflects the rate of change in exhaust gas component concentration. The slope can be calculated using the mathematical concept of derivative (derivative of a curve function), which approximates the difference in concentration between two adjacent time points divided by the time difference. Specifically, the slope can also be the average or maximum slope of the segment.

[0094] After obtaining the slope value corresponding to each component-concentration curve, the slope values ​​corresponding to each curve segment are sorted in chronological order to obtain the slope value sequence corresponding to the component-concentration curve. The slope value sequence includes the slope values ​​of the curve in each time period, reflecting the dynamic process of the exhaust gas component concentration change.

[0095] After obtaining the slope value sequence corresponding to each component-concentration curve, these slope value sequences can be integrated into a slope value matrix. The matrix construction process involves two dimensions: the component dimension, which refers to the different components in the exhaust gas; and the time dimension, which refers to the time periods. The slope value matrix is ​​generated by arranging the slope values ​​of each component in each time period according to the preset component order and time sequence. This slope value matrix contains detailed information on the changes in exhaust gas component concentrations, providing direct data support for determining valve opening parameters.

[0096] After obtaining the slope value matrix, we can start to determine the valve opening parameters of each level. The process of determining the valve opening parameters can be divided into two main steps: feature extraction and classification processing.

[0097] The goal of feature extraction is to extract key information from the slope value matrix that reflects the changing characteristics of exhaust gas component concentrations. This key information may include statistical quantities such as the maximum, minimum, average, and standard deviation of the slope values, as well as dynamic characteristics such as the slope value's changing trend and fluctuation range. Feature extraction can simplify the complex slope value matrix into a few key indicators, facilitating subsequent classification.

[0098] The purpose of classification processing is to determine valve opening parameters based on the extracted feature values. The valve opening parameters corresponding to the feature values ​​are determined through a predefined mapping relationship, that is, the correspondence between the feature values ​​and the valve opening parameters. This mapping relationship may be based on experience, experimental data, or a machine learning algorithm. Through classification processing, the feature values ​​can be converted into specific valve opening parameters, including the opening time, opening duration, and opening angle.

[0099] In one possible embodiment, a machine learning algorithm can be used to establish a predictive model between exhaust gas component concentrations and valve opening parameters. By training the model, the optimal valve opening parameters can be predicted directly from exhaust gas detection data, without the need for slope value matrix calculation and classification.

[0100] In one possible embodiment, a rule-based control system can be designed to determine valve opening parameters. This system can automatically adjust valve openings based on pre-set rules and thresholds. For example, when the concentration of a certain component in the exhaust gas exceeds a certain threshold, the system can automatically open the corresponding valve level to treat the exhaust gas.

[0101] In one possible embodiment, multiple methods can be integrated for optimization. For example, a machine learning model can be used to perform preliminary predictions, followed by manual adjustments or rule-based control based on the prediction results and actual conditions. By combining the advantages of various methods, the efficiency and accuracy of exhaust gas treatment can be improved.

[0102] In this embodiment, by accurately calculating the slope value of the exhaust gas component concentration and constructing a slope value matrix to extract the eigenvalue, the valve opening parameter is finally determined, which significantly improves the exhaust gas treatment efficiency and reduces operating costs.

[0103] Furthermore, the step of determining a slope value matrix corresponding to each group of the component-concentration curves based on the slope value sequence includes:

[0104] The slope value sequences corresponding to each group of the component-concentration curves are sorted according to a preset component order and aligned according to the time period to obtain a slope value matrix corresponding to each group of the component-concentration curves.

[0105] In this embodiment of the present invention, it should be noted that the slope value sequence is a set of numerical values ​​that reflects the rate of change of the component-concentration curve, used to indicate how quickly the concentrations of various exhaust gas components change over time. The slope value matrix, on the other hand, is a two-dimensional array formed by aligning these slope values ​​in a specific order and time period. The slope value matrix contains information about the slope values ​​and also reflects the temporal and component relationships between them.

[0106] This sorting process arranges the slope values ​​corresponding to each component-concentration curve according to a pre-set order. This ensures that each row (or column) in the matrix represents the same component, facilitating subsequent data analysis and processing. Sorting can be based on the importance of different components, such as their chemical properties, toxicity, and difficulty of treatment. These factors determine the importance given to different components during waste gas treatment.

[0107] Alignment involves matching the sorted slope values ​​by time period, ensuring that each time point has a corresponding slope value for all components. The goal is to ensure that each element in the matrix corresponds to a specific time point and component, thereby forming a complete, ordered dataset. Since the concentration changes of different components may not be completely synchronized, appropriate methods (such as interpolation and smoothing) are needed to address these temporal mismatches.

[0108] Specifically, a blank two-dimensional array can be initialized as the slope value matrix based on the number of components and the preset number of time periods. The number of rows in the array is equal to the number of components, and the number of columns is equal to the number of time periods.

[0109] In the sorted order, fill in the corresponding position of the matrix with the slope value of each component at each time period. If the slope value of a component is missing at a certain time point (for example, due to detection failure or missing data), the average value of the previous and next time points, the interpolation result, or other reasonable estimate can be used to fill it.

[0110] Verify the populated slope value matrix to ensure there are no missing or incorrect data. This includes verifying that the matrix dimensions are correct, that the values ​​of each element are within a reasonable range, and that the data are consistent across components and time points.

[0111] In one possible implementation, time series analysis techniques (such as ARIMA models and exponential smoothing) can be used to predict and fill in missing slope values, thereby constructing a more accurate and complete slope value matrix. This approach has the advantage of being able to handle data incompleteness and noise, improving the accuracy of the matrix. However, its disadvantage is the high computational complexity and the requirement for specialized time series analysis knowledge.

[0112] In one possible embodiment, machine learning algorithms (such as support vector machines and neural networks) can be used to learn the mapping relationship between slope value sequences and valve opening parameters. By training the model, the valve opening parameters can be predicted directly from the slope value sequence without explicitly constructing a slope value matrix. The advantage is that it can automatically learn complex data relationships and improve prediction accuracy. However, the disadvantage is that it requires a large amount of training data and computing resources, and the model has poor interpretability.

[0113] In one possible embodiment, an expert system can be constructed to simulate the expert decision-making process, thereby determining the construction method of the slope value matrix and the setting of the valve opening parameters. Flexibility can also be achieved by combining domain knowledge and actual conditions.

[0114] Furthermore, based on the slope value matrix corresponding to each group of the component-concentration curves, the step of determining the valve opening parameter corresponding to the level includes:

[0115] Performing feature extraction on the slope value matrix corresponding to each group of the component-concentration curves to obtain the component-concentration change characteristic value corresponding to the level;

[0116] The component-concentration change characteristic values ​​are classified into valve opening parameters to obtain valve opening parameters of the hierarchy.

[0117] In the embodiments of the present invention, it should be noted that in the field of waste gas treatment, the composition of waste gas is complex and variable, and the concentration of different components varies over time in different patterns. Using data collected by the waste gas detection sensor, a concentration curve of each component over time is plotted, i.e., a component-concentration curve. This component-concentration curve intuitively reflects the dynamic changes in the concentration of each component in the waste gas.

[0118] The slope value matrix is ​​a data structure derived from further processing of the component-concentration curve. By dividing each component-concentration curve into time periods and calculating the slope value of the curve within each time period, a two-dimensional matrix containing the slope values ​​of all components is formed. The slope value reflects the speed of concentration change, that is, the increase or decrease in the concentration of a component in the exhaust gas per unit time.

[0119] After obtaining the slope value matrix, feature extraction is performed on it. Feature extraction aims to extract the most representative information for problem solving from a large amount of data. In this embodiment, the feature extraction target is the slope value matrix, with the goal of obtaining numerical values ​​or vectors that can reflect the characteristics of exhaust gas component concentration changes, namely, component-concentration change characteristic values.

[0120] Feature extraction methods include, but are not limited to, statistical feature extraction, principal component analysis (PCA), and independent component analysis (ICA). For the slope value matrix, statistical quantities such as the average slope, maximum slope, and slope change rate can be calculated as eigenvalues. Alternatively, dimensionality reduction algorithms can be used to extract the principal components that best represent the data variation as features. Eigenvalues ​​can concisely and effectively summarize the changing patterns of exhaust gas component concentrations, laying the foundation for subsequent classification and processing of valve opening parameters.

[0121] The classification of valve opening parameters is a decision-making process based on eigenvalues. The purpose of the classification process is to determine the valve opening parameters that best suit the current exhaust gas composition, including the opening time, duration, and angle, based on the extracted eigenvalues. This process can utilize machine learning algorithms such as support vector machines (SVMs), decision trees (DTs), and neural networks (NNs). By training the model, a mapping relationship between eigenvalues ​​and valve opening parameters can be established. When new exhaust gas detection data arrives, the model can automatically output the optimal valve opening parameters.

[0122] In one possible embodiment, the time series data of the exhaust gas component concentration can be directly modeled and analyzed, such as using an autoregressive integrated moving average (ARIMA) model, a long short-term memory network (LSTM), etc., to predict the concentration value at a future time point and adjust the valve opening parameters accordingly.

[0123] In one possible embodiment, a deep learning algorithm, such as a convolutional neural network (CNN) combined with a recurrent neural network (RNN), can be used to perform end-to-end learning on the exhaust gas component concentration data, directly extract high-level features from the raw data, and output valve opening parameters.

[0124] In one possible embodiment, fuzzy logic control can be used to address situations where exhaust gas composition changes are uncertain or difficult to accurately model. By defining a series of fuzzy rules and membership functions, the exhaust gas component concentration is mapped to a fuzzy set of valve opening parameters. The specific parameter values ​​are then determined based on fuzzy reasoning.

[0125] In one possible embodiment, a reinforcement learning algorithm can be used to continuously optimize the valve opening strategy. In the field of exhaust gas treatment, a reinforcement learning algorithm can be designed to allow the system to learn the optimal valve opening strategy through continuous attempts to maximize exhaust gas treatment efficiency or minimize energy consumption.

[0126] In this embodiment, through in-depth analysis of changes in exhaust gas component concentrations, precise control of valve opening parameters is achieved, thereby improving the efficiency and accuracy of exhaust gas treatment.

[0127] Furthermore, the step of determining valve opening parameters at each level based on the exhaust gas detection data at different levels includes:

[0128] Obtaining a mapping table for each of the levels, the mapping table including a mapping relationship between reference exhaust gas data corresponding to the level and a reference valve opening parameter;

[0129] Based on the exhaust gas detection data of different levels and the mapping tables corresponding to each level, the valve opening parameters of each level are determined.

[0130] In the embodiments of the present invention, it should be noted that a mapping table is a relational table that maps input data to output parameters. In an injection molding line waste gas treatment system, the specific contents of the mapping table are reference waste gas data for the corresponding level and the corresponding reference valve opening parameters. The reference waste gas data and the corresponding reference valve opening parameters can be derived from historical data from actual production, experimental test results, or industry standards. The mapping table records the valve opening states required to achieve optimal waste gas treatment results under different waste gas composition and concentration conditions.

[0131] The purpose of the mapping table is that once the system detects the exhaust gas composition and concentration in the exhaust gas collection chamber, it can quickly determine the corresponding valve opening parameters by directly looking up the mapping table, without the need for complex real-time calculations. This approach greatly improves the response speed and accuracy of exhaust gas treatment, reduces dependence on computing resources, and also facilitates system maintenance and upgrades.

[0132] Constructing a mapping table requires comprehensive consideration of multiple factors, including the specific production processes of the injection molding line, the characteristics of the exhaust gas composition, the capabilities of the exhaust gas treatment equipment, and the requirements of environmental regulations. First, a large amount of exhaust gas test data must be collected, covering all possible operating conditions to ensure the comprehensiveness and representativeness of the mapping table. Second, through analysis and processing of the exhaust gas test data, the correlation between exhaust gas composition and concentration and valve opening parameters is extracted, forming a preliminary mapping relationship. Finally, through verification and adjustment in actual application, the mapping table is continuously optimized to make it more closely aligned with production reality.

[0133] Due to changes in production conditions, aging or replacement of waste gas treatment equipment, and increased environmental standards, the data in the mapping table may need to be updated regularly or irregularly. Therefore, establishing a comprehensive mapping table management mechanism, including data collection, analysis, verification, and updating, is key to ensuring the effectiveness and accuracy of the mapping table.

[0134] When waste gas is generated during the injection molding process, it is first collected in an exhaust gas collection chamber. Tiered exhaust gas sensors within the chamber monitor the composition and concentration of the waste gas in real time and transmit this data to the controller. Upon receiving the exhaust gas composition and concentration, the controller immediately searches a mapping table and determines the appropriate valve opening parameters based on the reference data that most closely matches the current exhaust gas composition and concentration.

[0135] Valve opening parameters, including the opening time, duration, and angle, determine the opening state of the smart valve in the exhaust gas treatment pipeline. Upon receiving instructions from the control system, the smart valve opens or closes according to the valve opening parameters, thereby controlling the exhaust gas to enter the corresponding exhaust gas treatment chamber for treatment at the appropriate time and flow rate.

[0136] In this embodiment, rapid response and precise control of the exhaust gas treatment process are achieved through preset reference data and mapping relationships.

[0137] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When executed, the program can include the processes in the above-described method embodiments. The computer-readable storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0138] The above disclosure is merely a preferred embodiment of the present invention and certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for treating waste gas from an injection molding line, characterized in that: The waste gas treatment system for the injection molding line production includes a waste gas collection chamber, a plurality of waste gas treatment pipelines and a plurality of waste gas treatment chambers. The waste gas collection chamber is provided with waste gas detection sensors according to the level. The waste gas collection chamber is connected to the waste gas treatment pipelines of the corresponding level through smart valves at different levels. The waste gas treatment pipelines are connected to the corresponding waste gas treatment chambers, including: Collect the waste gas generated in each link of the injection molding line into the waste gas collection room and conduct waste gas detection by level to obtain waste gas detection data at different levels; Determining valve opening parameters at each level based on the exhaust gas detection data at different levels, the valve opening parameters including opening time, opening duration, and opening angle; Based on the valve opening parameters of each level, the smart valves of each level are controlled so that the exhaust gas corresponding to the level is transported to the corresponding exhaust gas treatment chamber through the corresponding exhaust gas treatment pipeline for exhaust gas treatment when the smart valve is opened.

2. The method according to claim 1, wherein The step of collecting the waste gas generated in each link of the injection molding line into the waste gas collection chamber and performing waste gas detection according to the level to obtain waste gas detection data at different levels includes: Collect the waste gas generated in each link of the injection molding line into the waste gas collection chamber and process it by static deposition for a preset period of time; During the preset time period, exhaust gas detection is performed by the exhaust gas detection sensors at each level to obtain exhaust gas detection data corresponding to each level.

3. The method according to claim 2, wherein The step of determining the valve opening parameters of each level based on the exhaust gas detection data at different levels includes: Determining, based on the exhaust gas detection data corresponding to each of the levels, a component-concentration curve corresponding to each of the levels within the preset time period, wherein each level corresponds to a group of the component-concentration curves, and each group of the component-concentration curves includes at least one component-concentration curve; Based on each group of component-concentration curves, valve opening parameters for each level are determined.

4. The method according to claim 3, wherein The step of determining the valve opening parameters of each level based on each group of component-concentration curves includes: In each group of the component-concentration curves, each component-concentration curve is divided into time periods to obtain curve segments corresponding to each component-concentration curve; Calculating the slope value of each curve segment to obtain a slope value sequence corresponding to each component-concentration curve; Determining a slope value matrix corresponding to each group of the component-concentration curves based on the slope value sequence; Based on the slope value matrix corresponding to each group of the component-concentration curves, the valve opening parameters corresponding to the level are determined.

5. The method according to claim 4, wherein The step of determining a slope value matrix corresponding to each group of the component-concentration curves based on the slope value sequence includes: The slope value sequences corresponding to each group of the component-concentration curves are sorted according to a preset component order and aligned according to the time period to obtain a slope value matrix corresponding to each group of the component-concentration curves.

6. The method according to claim 4, wherein The step of determining the valve opening parameter corresponding to the level based on the slope value matrix corresponding to each group of the component-concentration curves includes: Performing feature extraction on the slope value matrix corresponding to each group of the component-concentration curves to obtain the component-concentration change characteristic value corresponding to the level; The component-concentration change characteristic values ​​are classified into valve opening parameters to obtain valve opening parameters of the hierarchy.

7. The method according to claim 1, wherein The step of determining the valve opening parameters of each level based on the exhaust gas detection data at different levels includes: Obtaining a mapping table for each of the levels, the mapping table including a mapping relationship between reference exhaust gas data corresponding to the level and a reference valve opening parameter; Based on the exhaust gas detection data of different levels and the mapping tables corresponding to each level, the valve opening parameters of each level are determined.

8. An injection molding line production waste gas treatment system, characterized in that: The injection molding line production waste gas treatment system includes a controller, a waste gas collection chamber, several waste gas treatment pipelines and several waste gas treatment chambers. The waste gas collection chamber is provided with waste gas detection sensors according to the levels. The waste gas collection chamber is connected to the waste gas treatment pipelines of the corresponding levels through smart valves of different levels. The waste gas treatment pipelines are connected to the corresponding waste gas treatment chambers. The controller is connected to the smart valve signals of different levels. The controller is used to implement the injection molding line production waste gas treatment method as described in any one of claims 1-7.

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