Injection molding line production waste gas treatment method and system

Abstract

The invention relates to automobile injection molding line production waste gas treatment, and provides an injection molding line production waste gas treatment method, which comprises: collecting waste gas generated in each link of an injection molding line into a waste gas collection chamber, and carrying out waste gas detection according to levels to obtain waste gas detection data of different levels; based on the waste gas detection data of different levels, valve opening parameters of all the levels are determined; and on the basis of the valve opening parameters of all the levels, the intelligent valves of all the levels are controlled. Waste gas detection sensors are arranged in a waste gas collection chamber according to layers, waste gas generated in all links of an injection molding line can be collected and detected in a layered and refined mode, valve opening parameters of all layers can be intelligently and accurately determined on the basis of waste gas detection data, and the valve opening parameters comprise the opening time point, the opening duration and the opening angle; the waste gas collection and treatment efficiency is improved, the waste gas treatment accuracy is improved, and then the environmental protection performance and compliance are enhanced.

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, the heating, injection molding, cooling and subsequent processing of plastic raw materials will generate corresponding waste gas. 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 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, it is urgent to develop an accurate and efficient waste gas treatment solution for injection molding lines. Summary of the invention

[0003] The embodiment of the present invention provides a method for treating waste gas produced by an injection molding line, aiming to solve the problem that the traditional waste gas treatment method lacks an accurate waste gas monitoring and control mechanism, thereby providing an accurate and efficient solution for treating waste gas produced by an injection molding line. By setting waste gas detection sensors in the waste gas collection chamber according to the level, 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, the valve opening parameters of each level can be intelligently and accurately determined, including the opening time point, opening duration and opening angle, thereby improving the waste gas collection and treatment efficiency, improving the accuracy of waste gas treatment, and thus enhancing environmental protection performance and compliance.

[0004] In the 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 a waste gas treatment system for an injection molding line. The waste gas treatment system for an injection molding line includes 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 in a hierarchical manner. The waste gas collection chamber is connected to the waste gas treatment pipeline of the corresponding level through smart valves of 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 perform waste gas detection at different levels to obtain waste gas detection data at different levels;

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

[0007] Based on the valve opening parameters of each level, the intelligent valves of each level are controlled so that the exhaust gas of the corresponding level is transported to the corresponding exhaust gas treatment chamber through the corresponding exhaust gas treatment pipeline for exhaust gas treatment when the intelligent 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 by 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 the valve opening parameters of each level based on the exhaust gas detection data of different levels includes:

[0012] Based on the exhaust gas detection data corresponding to each of the levels, determining the component-concentration curves corresponding to each of the levels within the preset time period, each of the levels corresponding to a group of the component-concentration curves, and each group of the component-concentration curves including at least one component-concentration curve;

[0013] Based on each group of the component-concentration curves, the valve opening parameters of 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 of the component-concentration curves is divided into time periods to obtain curve segments corresponding to each of the component-concentration curves;

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

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

[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 feature value corresponding to the level;

[0023] The component-concentration change characteristic values ​​are subjected to classification processing of valve opening parameters to obtain valve opening parameters of the level.

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

[0025] Acquire a mapping table for each of the levels, the mapping table comprising 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, 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 chamber is hierarchically provided with waste gas detection sensors, the waste gas collection chamber is connected with the waste gas treatment pipeline of the corresponding level through smart valves of different levels, the waste gas treatment pipeline is connected with the corresponding waste gas treatment chamber, the controller is connected with the smart valve signals of different levels, and 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 the embodiment of the present invention, the waste gas generated in each link of the injection molding line is collected in the waste gas collection chamber and waste gas detection is performed by level to obtain waste gas detection data of different levels; based on the waste gas detection data of different levels, the valve opening parameters of each level are determined, and the valve opening parameters include the opening time point, the opening duration and the opening angle; based on the valve opening parameters of each level, the intelligent valve of each level is controlled so that the waste gas corresponding to the level is transported to the corresponding waste gas treatment chamber through the corresponding waste gas treatment pipeline for waste gas treatment when the intelligent valve is opened. By setting waste gas detection sensors by level in the waste gas collection chamber, the waste gas generated in each link of the injection molding line can be collected and detected in a hierarchical and refined manner. Based on the waste gas detection data, the valve opening parameters of each level can be determined intelligently and accurately, including the opening time point, the opening duration and the opening angle, thereby improving the waste gas collection and treatment efficiency, improving the accuracy of waste gas treatment, and thus enhancing environmental protection 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 drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative work.

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

[0031] Figure 2 It is a flow chart of a method for treating waste gas produced by an injection molding line provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] like Figure 1 As shown, Figure 1The present invention provides an embodiment of an injection molding line production waste gas treatment system. 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 chamber is provided with waste gas detection sensors in layers. The waste gas collection chamber is connected to the waste gas treatment pipelines of the corresponding layers through smart valves of different layers. The waste gas treatment pipelines are connected to the corresponding waste gas treatment chambers.

[0034] The controller is connected to the smart valve signals of different levels. There is a program corresponding to the method for treating waste gas from plastic line production in the controller. When running at this level, the waste gas generated in each link of the injection molding line is collected in the waste gas collection chamber for waste gas detection at each 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 of each level are controlled so that 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 when the smart valve is opened.

[0035] The controller is connected to the smart valves at different levels through signal lines. The controller is embedded with the program of the waste gas treatment method of the injection molding line and is responsible for the operation control of the entire system.

[0036] Exhaust gas collection chambers are equipped with exhaust gas detection sensors in different levels, and are 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 perform hierarchical division and detection.

[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. As a channel for exhaust gas transportation, the exhaust gas is transported from the exhaust gas collection chamber to the exhaust gas treatment chamber.

[0038] The waste gas collection chamber is connected to the waste gas collection chamber through the waste gas treatment pipeline, and the delivered waste gas is treated to ensure that it meets the emission standards.

[0039] The waste gas generated in each link of the injection molding line is collected in the waste gas collection chamber. The waste gas detection sensor detects the waste gas by level and obtains the waste gas detection data of different levels. The controller receives the waste gas detection data and runs the embedded waste gas treatment method program. Based on the waste gas detection data, the controller determines the valve opening parameters of each level, including the opening time point, opening duration and opening angle. The controller controls the intelligent valves of each level according to the determined valve opening parameters.

[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 a PLC (Programmable Logic Controller), a DCS (Distributed Control System) or a dedicated exhaust gas treatment controller, etc., depending on system requirements and budget.

[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 according to system requirements and valve types.

[0044] According to 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 device, catalytic combustion device, wet oxidation device, etc. Selection considerations: treatment efficiency, floor space, operating cost, maintenance convenience and price, etc.

[0045] In the embodiment of the present invention, the waste gas treatment system for the injection molding line realizes the effective collection, detection and treatment of the waste gas produced by the injection molding line through the close cooperation of the modules such as the controller, the waste gas collection chamber, the waste gas treatment pipeline and the waste gas treatment chamber. By setting the waste gas detection sensor in the waste gas collection chamber according to the level, the waste gas generated in each link of the injection molding line can be collected and detected in a hierarchical and refined manner. Based on the waste gas detection data, the valve opening parameters of each level can be determined intelligently and accurately, including the opening time point, opening duration and opening angle, which improves the waste gas collection and treatment efficiency, improves the accuracy of waste gas treatment, and thus enhances the environmental protection performance and compliance.

[0046] like Figure 1 As shown, Figure 1 It 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 in layers, the waste gas collection chambers are connected to the waste gas treatment pipelines of the corresponding layers through smart valves of different layers, 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 layers, 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 steps of:

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

[0048] S2. Based on the exhaust gas detection data at different levels, determining valve opening parameters at each level, wherein the valve opening parameters include an opening time point, an opening duration, and an opening angle;

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

[0050] In this embodiment, the exhaust gas collection chamber is the starting point of the entire treatment system, which is responsible for collecting exhaust gas from all links of the injection molding line. In order to achieve accurate monitoring of the exhaust gas composition, exhaust gas detection sensors are arranged in layers in 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 hierarchical setting is that exhaust gas at different levels may contain different pollutant components and concentrations. Through layered detection, the characteristics of the exhaust gas can be understood more carefully, so as to formulate more targeted treatment strategies.

[0051] In a possible embodiment, the waste gas generated in each link of the injection molding line is collected into the waste gas collection chamber through the waste gas collection pipeline, and the waste gas collection pipeline and the waste gas collection chamber are switched on and off by a valve. When the valve is opened, the waste gas generated in each link of the injection molding line is collected into the waste gas collection chamber through the waste gas collection pipeline, and when the valve is closed, the subsequent waste gas treatment of the injection molding line is carried out. The above valve can be an intelligent valve, and can also be switched on and off by a controller.

[0052] The exhaust gas collection chamber is connected to the exhaust gas treatment pipeline at the corresponding level through smart valves at different levels. The function of the smart valve is to dynamically adjust the valve opening state according to the exhaust gas detection data to control the flow direction and flow of the exhaust gas. The valve opening parameters can include the opening time point, opening duration and opening angle, which are the key to the control strategy. The valve opening parameters are determined based on the exhaust gas detection data and obtained through algorithm analysis to achieve the optimal distribution and treatment of the exhaust gas.

[0053] Specifically, the selection of the above-mentioned opening time point is intended to ensure that the exhaust gas can be guided to the treatment pipeline in time after it is generated, so as to avoid accumulation in the collection chamber and causing secondary pollution. The setting of the opening time needs to consider the treatment capacity of the exhaust gas treatment chamber and the rate of exhaust gas generation to ensure that the treatment efficiency matches the amount of exhaust gas generated. The adjustment of the opening angle is to accurately control the flow rate of the exhaust gas to avoid excessive or insufficient flow from adversely affecting the treatment effect.

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

[0055] The waste gas treatment room is the final place for waste gas treatment. Different treatment processes can be used according to the composition and concentration of the waste gas, such as adsorption, absorption, catalytic oxidation, biological treatment, etc. For waste gas containing harmful substances, it is necessary to convert them into harmless or low-harm substances through chemical or physical methods; for odorous gases, deodorization technology can be used for treatment. The design of the waste gas treatment room 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 effect of exhaust gas treatment. Therefore, the selection, layout, data collection and processing of exhaust gas detection sensors are crucial. Sensors should have the characteristics of high sensitivity, high selectivity, and high stability to ensure the reliability of exhaust gas detection data. The collection of exhaust gas detection data should be continuous and real-time to reflect the changes in exhaust gas in a timely manner. The processing of exhaust gas detection data includes steps such as data cleaning, feature extraction, and pattern recognition to extract useful information and provide a basis for the formulation of valve control strategies.

[0057] In a possible embodiment, the exhaust gas detection data can be used to draw curves showing the changes of exhaust gas components at different levels over time, namely, component-concentration curves. These curves reflect the changing trends of exhaust gas components and are an important basis for determining valve opening parameters.

[0058] Specifically, the rate of change of the exhaust gas composition can be understood by analyzing the slope value of the composition-concentration curve. The larger the slope value, the more drastic the change of the component, which may require a larger processing capacity and a faster processing speed. Therefore, the slope value sequence can be calculated and the slope value matrix can be constructed to comprehensively evaluate the change characteristics of the exhaust gas composition. Based on these characteristics, more reasonable valve opening parameters can be determined to achieve effective exhaust gas treatment.

[0059] In a possible embodiment, a mapping table method can also be used to correspond the exhaust gas detection data with the reference valve opening parameters. The establishment of the mapping table is based on a large amount of experimental data and accumulated experience, and can provide fast and accurate valve opening parameters for different levels of exhaust gas. This method simplifies the parameter determination process and improves processing efficiency.

[0060] In a possible embodiment, for waste gas with certain specific components, a special treatment device can be used for pre-treatment to reduce the burden of subsequent treatment. For the case of large amounts of waste gas, a distributed treatment system can be considered to disperse the waste gas to multiple treatment units for treatment to improve treatment efficiency and flexibility. In addition, it is also possible to combine advanced technologies such as the Internet of Things and big data to achieve intelligent and automated management of waste gas treatment, further improving treatment effects and management levels.

[0061] In the embodiment of the present invention, the waste gas generated in each link of the injection molding line is collected in the waste gas collection chamber and waste gas detection is performed by level to obtain waste gas detection data of different levels; based on the waste gas detection data of different levels, the valve opening parameters of each level are determined, and the valve opening parameters include the opening time point, the opening duration and the opening angle; based on the valve opening parameters of each level, the intelligent valve of each level is controlled so that the waste gas corresponding to the level is transported to the corresponding waste gas treatment chamber through the corresponding waste gas treatment pipeline for waste gas treatment when the intelligent valve is opened. By setting waste gas detection sensors by level in the waste gas collection chamber, the waste gas generated in each link of the injection molding line can be collected and detected in a hierarchical and refined manner. Based on the waste gas detection data, the valve opening parameters of each level can be determined intelligently and accurately, including the opening time point, the opening duration and the opening angle, thereby improving the waste gas collection and treatment efficiency, improving the accuracy of waste gas treatment, and thus enhancing environmental protection 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 by 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, due to the heating of raw materials, injection molding and other links, waste gas containing volatile organic compounds (VOCs), particulate matter, harmful gases and other components will be generated. If these waste gases are directly discharged without treatment, they will not only pollute the environment, but also pose a threat to the health of workers. Therefore, effective collection of waste gas and hierarchical detection are the prerequisites for targeted treatment measures.

[0067] As the primary component of the exhaust gas treatment system, the design of the exhaust gas collection chamber needs to consider factors such as the amount of exhaust gas generated, the complexity of the components, and the treatment efficiency. Exhaust gas detection sensors are set up in layers in the exhaust gas collection chamber. This design allows for layered detection of exhaust gas, thereby more accurately capturing the distribution of exhaust gas components at different heights. This layered detection method helps to identify the heavy and light components in the exhaust gas, providing more accurate data support for subsequent exhaust gas treatment.

[0068] After the exhaust gas is collected in the exhaust gas collection chamber, it needs to undergo a preset period of static sedimentation treatment. Through static sedimentation treatment, the physical properties of different components in the exhaust gas (such as density, sedimentation velocity, etc.) can be used to make some heavier particles or droplets settle naturally under the action of gravity, thereby reducing the burden on the subsequent exhaust gas treatment chamber and improving the overall treatment efficiency. The length of static sedimentation time needs to be adjusted according to actual conditions such as exhaust gas composition, temperature, humidity, etc.

[0069] The above sensors need to have the characteristics of high sensitivity, high selectivity, fast response and long-term stability to ensure accurate measurement of various components and their concentrations in the exhaust gas. In layered detection, sensors at different levels may be optimized for specific exhaust gas components, such as some sensors are specifically used to detect VOCs, while other sensors focus on particulate matter or harmful gases.

[0070] During a preset time period, exhaust gas detection sensors at various levels can be used to perform continuous or intermittent exhaust gas detection to obtain a large amount of exhaust gas detection data, including the types and concentrations of exhaust gas components at different collection time points.

[0071] In one possible embodiment, for exhaust gas with a relatively simple composition and low concentration, direct adsorption or filtration can be used for treatment without complex stratification detection. In addition, with the continuous development of sensor technology, some new sensors can achieve higher accuracy and faster exhaust gas detection, which can also be used as an option to improve the performance of the exhaust gas treatment system.

[0072] In a 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 the valve opening parameters of each level based on the exhaust gas detection data of different levels includes:

[0075] Based on the exhaust gas detection data corresponding to each of the levels, determining the component-concentration curves corresponding to each of the levels within the preset time period, each of the levels corresponding to a group of the component-concentration curves, and each group of the component-concentration curves including at least one component-concentration curve;

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

[0077] In the embodiment of the present invention, it should be noted that the core goal of the waste gas treatment system is to effectively collect and treat the waste gas generated during the production process of the injection molding line to reduce pollution to the environment. The waste gas collection chamber is the initial collection point of the waste gas, and the waste gas detection sensor installed inside it can monitor the composition and concentration of the waste gas in real time. The waste gas detection data directly determines the opening strategy of the intelligent valve, that is, when to open, how long to open, and to what extent to open.

[0078] During a preset period of time, 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, the 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 level, it is necessary to analyze the composition-concentration curves, and then the opening parameters of the valve can be determined based on the analysis results.

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

[0083] In a possible embodiment, a prediction model of exhaust gas emissions can be established using a machine learning algorithm to predict exhaust gas emissions in the future based on historical data and real-time monitoring data. Then, the valve opening parameters can be adjusted in advance based on the prediction results to achieve more precise control.

[0084] In a possible embodiment, for some exhaust gas treatment processes that are difficult to accurately model, a fuzzy logic control method can be used. The fuzzy logic control method does not rely on an accurate mathematical model, but is based on experience and rules to formulate a control strategy. Through a fuzzy logic controller, the valve opening parameters can be adjusted according to the fuzzy information of the exhaust gas detection data.

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

[0086] In this embodiment, by accurately monitoring and analyzing the changes in the exhaust gas composition and concentration, a reasonable valve opening strategy can be formulated to achieve efficient and orderly treatment of the 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 of the component-concentration curves is divided into time periods to obtain curve segments corresponding to each of the component-concentration curves;

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

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

[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 embodiment of the present invention, it should be noted that in the exhaust gas collection chamber, exhaust gas detection sensors at different levels monitor the composition and concentration of the exhaust gas in real time, thereby obtaining a series of component-concentration curves. The component-concentration curves reflect the changes of various components in the exhaust gas over time. In order to analyze these changes more accurately, each component-concentration curve can be divided into time periods.

[0093] The purpose of the above time period division is to divide the entire curve into several smaller curve segments, eliminate the impact of local peaks and troughs on the overall curve, and more accurately calculate the slope value of each curve segment. The slope value reflects the rate of change of the exhaust gas component concentration. When calculating the slope value, the concept of mathematical derivative (derivative of the curve function) can be used, that is, the concentration difference between two adjacent time points is divided by the time difference to approximate it. Specifically, the above slope value can also be the average slope value or the maximum slope value of the curve 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 contains the slope values ​​of the curve in each time period, reflecting the dynamic process of the change of exhaust gas component concentration.

[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: one is the component dimension, that is, the different components in the exhaust gas; the other is the time dimension, that is, the divided time periods. The slope value matrix can be obtained by arranging the slope values ​​of each component in each time period according to the preset component order and time order. The above slope value matrix contains detailed information on the changes in the exhaust gas component concentration, which can provide direct data support for determining the 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 purpose of feature extraction is to extract key information that can reflect the characteristics of the changes in the concentration of exhaust gas components from the slope value matrix. Key information may include statistics such as the maximum, minimum, average, and standard deviation of the slope value, as well as dynamic characteristics such as the change trend and fluctuation range of the slope value. Through feature extraction, the complex slope value matrix can be simplified into several key indicators, which is convenient for subsequent classification processing.

[0098] The purpose of classification processing is to determine the 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 machine learning algorithms. Through classification processing, the feature values ​​can be converted into specific valve opening parameters, including the opening time point, opening duration and opening angle.

[0099] In a possible embodiment, a prediction model between exhaust gas component concentration and valve opening parameters can be established using a machine learning algorithm. By training the model, the optimal valve opening parameters can be predicted directly based on the exhaust gas detection data without the need for calculation and classification of the slope value matrix.

[0100] In one possible embodiment, a rule-based control system can be designed to determine valve opening parameters. The system can automatically adjust the valve opening state according to preset 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 valve at the corresponding level to treat the exhaust gas.

[0101] In a possible embodiment, multiple methods can be integrated for optimization. For example, a machine learning model can be used to make a preliminary prediction, and then manual adjustments or rule controls can be made based on the prediction results and actual conditions. The advantages of various methods can be combined to improve the efficiency and accuracy of exhaust gas treatment.

[0102] In this embodiment, by accurately calculating the slope value of the exhaust gas component concentration and constructing a slope value matrix to extract characteristic values, the valve opening parameters are 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 the embodiment of the present invention, it should be noted that the slope value sequence is a set of values ​​reflecting the rate of change of the component-concentration curve, which is used to indicate how fast the concentration of various components in the exhaust gas changes over time. The slope value matrix is ​​a two-dimensional array formed by aligning these slope values ​​in a specific order and time period. The slope value matrix contains the information of the slope values ​​and also reflects the time correlation and component correlation between the slope values.

[0106] The above sorting refers to arranging the slope value sequence corresponding to each component-concentration curve according to the preset component order. The purpose is to ensure that each row (or column) in the matrix represents the same component, which is convenient for subsequent data analysis and processing. The basis for sorting can be the importance of different components, such as the chemical properties, toxicity, and difficulty of treatment of the components. These factors determine the importance of different components in waste gas treatment.

[0107] The above alignment refers to matching the sorted slope value sequence according to the time period to ensure that there are slope values ​​corresponding to all components at each time point. The purpose is to ensure that each element in the matrix corresponds to a specific time point and component, thereby forming a complete and ordered data set. In the case where the concentration changes of different components may not be completely synchronized, appropriate methods (such as interpolation, smoothing, etc.) are needed to deal with the time mismatch problem.

[0108] Specifically, a blank two-dimensional array can be initialized as a slope value matrix according to the number of components and the number of preset 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 the slope value of each component in each time period into the corresponding position of the matrix. If the slope value of a component is missing at a certain time point (for example, due to detection failure or missing data), it can be filled with the average value of the previous and next time points, interpolation calculation results or other reasonable estimates.

[0110] Verify the filled slope value matrix to ensure that there is no missing or erroneous data. The verification includes whether the dimension of the matrix is ​​correct, whether the value of each element is within a reasonable range, and whether the data between different components and time points are coherent.

[0111] In a possible embodiment, time series analysis techniques (such as ARIMA model, exponential smoothing method, etc.) can be used to predict and fill in missing slope values, thereby constructing a more accurate and complete slope value matrix. The advantage is that it can handle the incompleteness and noise of the data and improve the accuracy of the matrix; the disadvantage is that the calculation complexity is high and professional time series analysis knowledge is required.

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

[0113] In a 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 parameter. It can also be flexibly processed in combination with 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 feature value corresponding to the level;

[0116] The component-concentration change characteristic values ​​are subjected to classification processing of valve opening parameters to obtain valve opening parameters of the level.

[0117] In the embodiments of the present invention, it should be noted that in the field of waste gas treatment, the components in the waste gas are complex and changeable, and the concentrations of different components vary with time. The data collected by the waste gas detection sensor is used to draw a concentration curve of each component over time, that is, a component-concentration curve. The component-concentration curve intuitively reflects the dynamic changes in the concentrations of each component in the waste gas.

[0118] The slope value matrix is ​​a data structure obtained by further processing the component-concentration curve. By dividing each component-concentration curve into time periods and calculating the slope value of the curve in each time period, a two-dimensional matrix containing all component slope value information is finally 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 object of feature extraction is the slope value matrix, and the purpose is to obtain a numerical value or vector that can reflect the characteristics of the exhaust gas component concentration change, that is, the component-concentration change characteristic value.

[0120] The feature extraction method may include but is not limited to statistical feature extraction, principal component analysis (PCA), independent component analysis (ICA), etc. For the slope value matrix, the average slope, maximum slope, slope change rate and other statistics of the calculation matrix can be selected as the eigenvalue, or the principal component that best represents the data change can be extracted as the feature through the dimensionality reduction algorithm. The eigenvalue can concisely and effectively summarize the change pattern of the exhaust gas component concentration, laying the foundation for the subsequent classification and processing of the valve opening parameters.

[0121] The classification processing of valve opening parameters is a decision-making process based on eigenvalues. The purpose of the classification processing is to determine the valve opening parameters that are most suitable for the current exhaust gas composition based on the extracted eigenvalues, including the opening time point, opening duration, and opening angle. This process can use machine learning algorithms such as support vector machines (SVM), decision trees (DT), neural networks (NN), etc. 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 a 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 a 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 a possible embodiment, a fuzzy logic control method can be used for situations where the 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, and then the specific parameter value is 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 the valve opening parameters of each level based on the exhaust gas detection data of different levels includes:

[0128] Acquire a mapping table for each of the levels, the mapping table comprising 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 embodiment of the present invention, it should be noted that the mapping table is a relationship table that corresponds input data to output parameters. In the waste gas treatment system of the injection molding line, the specific content of the mapping table is the reference waste gas data of the corresponding level and the reference valve opening parameters that match it. The reference waste gas data and the reference valve opening parameters that match it can be derived from historical data, experimental test results or industry standards in actual production. The mapping table records the valve opening state required to achieve the best waste gas treatment effect under different waste gas composition and concentration conditions.

[0131] The role of the mapping table is that when the system detects the exhaust gas composition and concentration in the exhaust gas collection chamber, it can directly determine the corresponding valve opening parameters by looking up the mapping table without the need for complex real-time calculations. This method 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 process of injection molding line production, the characteristics of exhaust gas components, the capabilities of exhaust gas treatment equipment, and the requirements of environmental protection regulations. First, a large amount of exhaust gas detection data needs to be collected. The exhaust gas detection data covers various working conditions that may be encountered to ensure the comprehensiveness and representativeness of the mapping table. Secondly, through the analysis and processing of the exhaust gas detection data, the correlation between the exhaust gas composition, concentration and valve opening parameters is extracted to form a preliminary mapping relationship. Finally, after verification and adjustment in actual application, the mapping table is continuously optimized to make it closer to actual production.

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

[0134] When waste gas is generated during the production process of the injection molding line, the waste gas is first collected in the waste gas collection chamber. The waste gas detection sensors arranged in layers in the waste gas collection chamber monitor the composition and concentration of the waste gas in real time and transmit these data to the controller. After receiving the composition and concentration of the waste gas, the controller will immediately search in the mapping table and determine the corresponding valve opening parameters based on the reference data closest to the current waste gas composition and concentration.

[0135] The valve opening parameters include the opening time, opening duration and opening angle, which together determine the opening state of the smart valve in the exhaust gas treatment pipeline. After receiving the command from the control system, the smart valve will open or close 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 at the appropriate 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 can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the computer-readable storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0138] The above disclosure is only the preferred embodiment of the present invention, which 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 produced by an injection molding line, characterized in that: Used in the waste gas treatment system of the injection molding line production, the waste gas treatment system of 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 levels, the waste gas collection chamber is connected with the waste gas treatment pipelines of the corresponding levels through smart valves of different levels, and the waste gas treatment pipelines are connected with 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 perform waste gas detection at different levels to obtain waste gas detection data at different levels; Based on the exhaust gas detection data at different levels, determining valve opening parameters at each level, the valve opening parameters including opening time point, opening duration and opening angle; Based on the valve opening parameters of each level, the intelligent valves of each level are controlled so that the exhaust gas of the corresponding level is transported to the corresponding exhaust gas treatment chamber through the corresponding exhaust gas treatment pipeline for exhaust gas treatment when the intelligent valve is opened.

2. The method according to claim 1, characterized in that 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, characterized in that The step of determining the valve opening parameters of each level based on the exhaust gas detection data of different levels includes: Based on the exhaust gas detection data corresponding to each of the levels, determining the component-concentration curves corresponding to each of the levels within the preset time period, each of the levels corresponding to a group of the component-concentration curves, and each group of the component-concentration curves including at least one component-concentration curve; Based on each group of the component-concentration curves, the valve opening parameters of each level are determined.

4. The method according to claim 3, characterized in that 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 of the component-concentration curves is divided into time periods to obtain curve segments corresponding to each of the component-concentration curves; Calculating the slope value of each of the curve segments to obtain a slope value sequence corresponding to each of the component-concentration curves; Based on the slope value sequence, determining a slope value matrix corresponding to each group of the component-concentration curves; 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, characterized in that The step of determining the slope value matrix corresponding to each group of the component-concentration curves based on the slope value sequence comprises: 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, characterized in that 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 comprises: Performing feature extraction on the slope value matrix corresponding to each group of the component-concentration curves to obtain the component-concentration change feature value corresponding to the level; The component-concentration change characteristic values ​​are subjected to classification processing of valve opening parameters to obtain valve opening parameters of the level.

7. The method according to claim 1, characterized in that The step of determining the valve opening parameters of each level based on the exhaust gas detection data of different levels includes: Acquire a mapping table for each of the levels, the mapping table comprising 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, 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 in layers. The waste gas collection chambers are connected to the waste gas treatment pipelines of the corresponding layers through smart valves of different layers. 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 layers. The controller is used to implement the injection molding line production waste gas treatment method as described in any one of claims 1-8.

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