Classification storage system based on plywood warehouse environment

Abstract

The invention relates to the technical field of warehouse management, environment control and other related fields, in particular to a plywood warehouse environment-based classified storage system, which is used for guaranteeing the chemical quality of plywood during storage, and comprises a characteristic file acquisition module, a chemical characteristic file storage module, a characteristic file storage module and a characteristic file storage module, the chemical property file comprises the sensitivity of the sensitive plywood to specific pollutants and a pollution tolerance threshold value; the exposure dose calculation module is used for calculating the chemical exposure accumulated dose of the sensitive plywood based on the chemical characteristic file and the pollutant concentration information in the local chemical environment where the sensitive plywood is located; a regulation and control unit deployment module; an operation efficiency monitoring and adjusting module; by analyzing the chemical characteristics of the sensitive plywood and taking corresponding environmental regulation and control and filter element maintenance measures, the problem of chemical cross contamination in the prior art is effectively solved.

Description

Technical Field

[0001] This invention relates to the fields of warehouse management and environmental control, and in particular to a classification and storage system based on a plywood warehouse environment. Background Technology

[0002] The categorized storage system in a plywood warehouse manages plywood with diverse chemical properties. These plywoods vary significantly in type and concentration of chemicals they contain or release into the environment during storage due to differences in substrate, adhesive type, thickness, grade, and whether they have undergone special chemical treatments. When these chemically diverse plywoods are distributed to the same warehouse area or adjacent storage locations under high-density, large-volume stacking conditions by the categorized storage system, their released chemicals accumulate and mix in the local air. Although warehouses typically have ventilation systems, airflow is significantly restricted within and between plywood stacks, easily creating relatively enclosed microenvironments. In these microenvironments, the concentration of specific chemicals is much higher than in other open areas of the warehouse, and the coexistence of multiple chemicals constitutes a complex local chemical atmosphere.

[0003] Against this backdrop, a prominent issue is chemical cross-contamination. However, existing plywood warehouse classification and storage systems primarily rely on the physical properties of plywood, logistics information, and warehousing efficiency indicators when allocating storage locations and managing inventory. The system's database does not include, or actively utilize, the chemical characteristics of plywood, such as the types and nominal release rates of major VOCs, a list of the chemical composition of special treatment agents used, and information on the plywood's sensitivity or adsorption characteristics to chemical pollutants in the warehouse. Therefore, when the system performs automatic or semi-automatic storage location recommendations, it cannot anticipate and mitigate the risk of chemical cross-contamination, often placing chemically incompatible plywood in close proximity. Furthermore, besides the chemicals released by the plywood itself, other sources of pollution may exist in the warehouse environment, such as chemicals used in warehouse maintenance and emissions from handling equipment. Existing classification and storage systems also fail to integrate this environmental chemical risk information and incorporate it into storage location allocation decisions.

[0004] Therefore, existing classification and storage systems are significantly inadequate in ensuring the chemical quality stability of sensitive plywoods with specific requirements for chemical purity during storage. The systems fail to establish mechanisms to identify chemical incompatibilities between different types of plywood, nor do they plan and manage specific storage areas based on chemical isolation principles. Furthermore, upon release from storage, the systems fail to provide early warnings to the inspection process based on the chemical sensitivity of the plywood and the risk of contamination during storage. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by proposing a classification and storage system based on a plywood warehouse environment.

[0006] This invention provides a classification and storage system based on a plywood warehouse environment to ensure the chemical quality of plywood during storage. The system includes:

[0007] The property profile acquisition module is used to acquire a chemical property profile established for sensitive plywood, wherein the chemical property profile includes the sensitivity of the sensitive plywood to specific pollutants and the pollution tolerance threshold.

[0008] The exposure dose calculation module is used to calculate the cumulative chemical exposure dose of the sensitive plywood based on the chemical property profile and the pollutant concentration information in the local chemical environment where the sensitive plywood is located.

[0009] A control unit deployment module is used to deploy a movable local microenvironment control unit in the local microenvironment of the sensitive plywood when the cumulative dose of chemical exposure reaches a certain condition.

[0010] The operation performance monitoring and adjustment module is used to monitor the operation performance of the local microenvironment control unit after deployment, and adjust the deployment strategy or operation parameters of the local microenvironment control unit based on the monitored operation performance.

[0011] The filter cartridge maintenance early warning module is used to assess the cumulative adsorption amount of pollutants in the adsorption filter cartridge inside the local microenvironment control unit, and to provide maintenance early warning for the adsorption filter cartridge based on the assessed cumulative adsorption amount of pollutants.

[0012] The core innovation of this application lies in the dynamic assessment of chemical exposure risks by integrating chemical property data of sensitive plywood with pollutant information of the local warehouse environment. When the risk reaches a certain level, a mobile local microenvironment control unit is deployed for precise intervention. At the same time, the intervention effect and the status of the control unit itself are continuously monitored and adjusted. This enables the proactive identification, quantitative assessment, local control and dynamic management of chemical cross-contamination risks during the storage of sensitive plywood, effectively ensuring its chemical quality stability.

[0013] Compared with the prior art, the present invention has the following beneficial effects:

[0014] By analyzing the chemical properties of sensitive plywood and taking corresponding environmental control and filter maintenance measures, the problem of chemical cross-contamination in existing technologies is effectively solved, thus reducing the risk of chemical cross-contamination in sensitive plywood. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the system structure of the present invention.

[0016] Labeling Explanation: 101. Characteristic Profile Acquisition Module; 102. Exposure Dose Calculation Module; 103. Control Unit Deployment Module; 104. Operational Performance Monitoring and Adjustment Module; 105. Filter Cartridge Maintenance Early Warning Module. Detailed Implementation

[0017] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0018] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0019] Reference Appendix Figure 1 This invention provides a classification and storage system based on a plywood warehouse environment to ensure the chemical quality of plywood during storage. The system includes:

[0020] The property profile acquisition module 101 is used to acquire a chemical property profile established for sensitive plywood. The chemical property profile includes the sensitivity of sensitive plywood to specific pollutants and the pollution tolerance threshold. This module can be implemented by using an interface connected to a database storing chemical property profiles, a sensor array, or a manual input interface.

[0021] The exposure dose calculation module 102 is used to calculate the cumulative chemical exposure dose of the sensitive plywood based on the chemical property profile and the pollutant concentration information in the local chemical environment where the sensitive plywood is located. This module can be implemented using a processor with built-in computing capabilities or an interface connected to an external computing server.

[0022] The control unit deployment module 103 is used to deploy a movable local microenvironment control unit in the local microenvironment of the sensitive plywood when the cumulative dose of chemical exposure reaches the condition. The local microenvironment control unit is used to purify the air in the local microenvironment to reduce the concentration of pollutants. This module can be implemented by a control unit that controls an automated deployment device or a communication interface that sends deployment instructions to the operator.

[0023] The operation performance monitoring and adjustment module 104 is used to monitor the operation performance of the local microenvironment control unit after deployment, and adjust the deployment strategy or operation parameters of the local microenvironment control unit based on the monitored operation performance. This module can be implemented by using the control interface connected to the data acquisition unit, data processing unit and control and regulation unit of the sensor array.

[0024] The filter element maintenance early warning module 105 is used to evaluate the cumulative adsorption amount of pollutants in the adsorption filter element inside the local microenvironment control unit, and to provide maintenance early warning for the adsorption filter element based on the evaluated cumulative adsorption amount of pollutants. This module can be implemented by using an interface connected to the filter element status sensor, an evaluation calculation unit, and an early warning output interface.

[0025] Among them, the pollution tolerance threshold refers to the upper limit of a specific pollutant concentration or cumulative exposure that sensitive plywood can withstand without unacceptable chemical quality degradation. It can be determined and set based on experimental testing, industry standards, or expert experience, and its main purpose is to provide data to determine whether the chemical exposure risk has reached the point where intervention is necessary. Pollutant concentration information in the local chemical environment refers to real-time or periodic concentration data of specific chemical pollutants in the air within the space where the sensitive plywood is located. This can be achieved by deploying gas sensors, sampling analysis, or estimation based on diffusion models, and its main purpose is to provide input data for assessing the actual degree of pollution of the sensitive plywood. The cumulative chemical exposure dose... This refers to a quantitative indicator of the chemical load that sensitive plywood endures when exposed to a specific pollutant environment over a certain period of time. It can be calculated based on pollutant concentration, exposure time, and plywood sensitivity, primarily to quantify the chemical pollution risk faced by sensitive plywood. "When conditions are met" refers to when the cumulative chemical exposure dose reaches a preset threshold or other predetermined triggering rules are met. This can be achieved by comparing the calculated cumulative dose with a preset pollution tolerance threshold, primarily to determine when pollution intervention measures need to be initiated. A mobile local microenvironment control unit refers to equipment that can be deployed near sensitive plywood to improve its local air quality. It can be a centralized unit... It is implemented as an independent unit of air purification, adsorption filtration, or catalytic decomposition modules, mainly to reduce pollutant concentration in a specific area; operational efficiency refers to the effect of the local microenvironment control unit in purifying air and reducing pollutant concentration in actual operation, which can be achieved by monitoring changes in pollutant concentration or removal rate within the area of ​​action of the control unit, mainly to evaluate the working status and effect of the control unit; deployment strategy or operating parameters refer to the adjustable settings such as placement location, quantity, working mode, air volume, or filter type of the local microenvironment control unit, which can be optimized and adjusted based on the monitored operational efficiency, mainly to ensure that the control unit operates in the best way; adsorption filter refers to the local The microenvironment control unit is the core component used to adsorb chemical pollutants in the air. It can be made of activated carbon, molecular sieves, or other adsorption materials, and its main purpose is to physically or chemically remove pollutants from the air. The cumulative adsorption capacity of pollutants refers to the total amount of specific pollutants adsorbed by the adsorption filter during use. It can be estimated based on inlet concentration, flow rate, and adsorption model, or directly monitored by sensors. Its main purpose is to assess the service life and saturation of the filter. The maintenance warning refers to the prompt information issued when the cumulative adsorption capacity of the adsorption filter reaches a preset threshold. It can be implemented through system notifications, indicator lights, or audible and visual alarms, and its main purpose is to remind users to replace or maintain the filter in a timely manner.

[0026] Specifically, this solution first obtains the chemical property profile of the sensitive plywood, which records its sensitivity to specific pollutants and pollution tolerance thresholds. Based on this profile information and real-time or periodically acquired pollutant concentration data in the local microenvironment where the plywood is located, the cumulative chemical exposure dose of the plywood is calculated. This cumulative dose reflects the chemical load that the plywood endures over a period of time. When the calculated cumulative chemical exposure dose reaches a preset condition, indicating that the plywood faces a high risk of pollution, the system deploys one or more movable local microenvironment control units in its local microenvironment. These control units are designed to purify the air in the area and reduce pollutant concentrations. After deployment, the system continuously monitors the operational efficiency of these control units, for example, by evaluating their removal effect on target pollutants. Based on the monitored operational efficiency, the system dynamically adjusts the deployment strategy (e.g., location, quantity) or operating parameters (e.g., airflow, operating mode) of the control units to optimize the purification effect. In addition, to ensure the continuous effectiveness of the control units, the system also evaluates the cumulative pollutant adsorption capacity of their internal adsorption filter cartridges. Based on the evaluation results, when the cumulative adsorption amount approaches saturation or reaches a preset threshold, the system will issue a maintenance warning, indicating that the adsorption filter element needs to be replaced or maintained. The entire process forms a closed-loop management system, comprehensively ensuring the chemical quality of sensitive plywood from risk identification, quantification, intervention to effect evaluation and equipment maintenance.

[0027] As one embodiment of the present invention, the steps of monitoring the operational performance of the local microenvironment control unit after deployment, and adjusting the deployment strategy or operating parameters of the local microenvironment control unit based on the monitored operational performance include:

[0028] Obtain information on the types of target chemical pollutants associated with sensitive plywood and the degree of pollution impact of each target chemical pollutant;

[0029] Monitoring the concentration data of multiple target chemical pollutants within the functional area of ​​a local microenvironment control unit;

[0030] Based on the concentration data of each target chemical pollutant obtained from the concentration data of multiple target chemical pollutants and the allowable concentration limit of the target chemical pollutant for the sensitive plywood, the control status of the target chemical pollutant is evaluated, and the control status of multiple target chemical pollutants is obtained.

[0031] By combining the control status of multiple target chemical pollutants and the information on the degree of pollution impact obtained, the comprehensive operational efficiency of the local microenvironment control unit is determined, and this comprehensive operational efficiency is used as the operational efficiency obtained from monitoring.

[0032] If the overall operational efficiency does not meet the preset conditions, one or more key chemical pollutants that have a dominant impact on the overall operational efficiency and whose control status is not up to standard will be identified.

[0033] And for one or more key chemical pollutants, the deployment strategy or operating parameters of the local microenvironment control unit are adjusted.

[0034] The information regarding the types of target chemical pollutants associated with sensitive plywood and the degree of pollution impact of each pollutant refers to a list of key controlled chemical pollutants related to the chemical characteristics of a specific sensitive plywood, along with a quantitative indicator of the impact of each pollutant on the chemical quality of the sensitive plywood. This information can be obtained by consulting plywood product technical specifications, conducting laboratory sensitivity tests, or referring to industry standards. The concentration data of multiple target chemical pollutants within the operational area of ​​the local microenvironment control unit refers to the actual content values ​​of multiple target chemical pollutants collected in real-time or periodically by sensors or other monitoring equipment within the specific spatial range covered by the local microenvironment control unit. This information can be obtained by deploying a gas sensor network or using portable gas detectors. The permissible concentration limit for the target chemical pollutant in sensitive plywood refers to the highest concentration threshold that a specific target chemical pollutant should not exceed in the storage environment to ensure that the chemical quality of the sensitive plywood does not deteriorate. This limit can be determined by referring to relevant national standards, industry standards, product technical requirements, or through experiments. Assessing the control status of a target chemical pollutant involves comparing the monitored concentration data with the corresponding permissible concentration limit to determine whether the pollutant is at an acceptable concentration level. This can be achieved by threshold judgment based on the measured concentration and the limit, or by calculating the exceedance multiple. The control status of multiple target chemical pollutants refers to the set of control results obtained after assessing each target chemical pollutant. For example, it can be represented as a binary state of whether each pollutant meets the standard, or a more refined level state. Pollution impact information refers to the potential severity or weight of the negative impact of each target chemical pollutant on the chemical quality of sensitive plywood. This can be expressed using numerical scoring, level classification, or weighting coefficients. Determining the comprehensive operational efficiency of a local microenvironment control unit refers to calculating an overall index that comprehensively considers the control status of multiple target chemical pollutants and their respective pollution impact degrees. This index measures the purification effect of the local microenvironment control unit on the chemical environment of the area. It can be calculated using weighted averaging, rule-based scoring models, or fuzzy comprehensive evaluation methods. Comprehensive operational efficiency is a quantitative indicator reflecting the overall performance level of a local microenvironment control unit in controlling multiple target chemical pollutants. Preset conditions refer to the standards used to determine whether the overall operational efficiency of a local microenvironment control unit meets the requirements. These can be achieved by setting a minimum threshold or target range for overall efficiency. Identifying one or more key chemical pollutants that have a dominant impact on overall operational efficiency and whose control status is not up to standard refers to analyzing which specific pollutants have the greatest negative impact on overall efficiency and whose concentration control is not up to standard when overall operational efficiency is not up to standard. This can be identified by analyzing the product of the contribution or influence of each pollutant to the calculation of overall efficiency and the control status.Adjusting the deployment strategy or operating parameters of local microenvironment control units refers to optimizing the placement, quantity, operating mode, wind speed, filter type, or replacement cycle of the control units based on the identified key chemical pollutants, in order to more effectively control the key pollutants. This can be done manually or automatically based on preset rules and optimization algorithms.

[0035] Based on the above technical solution, the working principle of the method provided in this application is as follows. After deploying a local microenvironment control unit according to the cumulative chemical exposure dose, in order to ensure its effective operation and continuously protect the storage environment of sensitive plywood, its operational efficiency needs to be monitored and adjusted. This solution first obtains information on the types of target chemical pollutants related to specific sensitive plywood and their degree of pollution impact on the plywood, which provides basic data and weighting basis for subsequent efficiency assessment. Next, by monitoring the actual concentration data of these target chemical pollutants within the control unit's area of ​​action, the current chemical environment status can be understood. Then, the measured concentration of each pollutant is compared with its corresponding allowable concentration limit to assess the control status of each pollutant and determine whether the control is effective. On this basis, combined with the control status of each pollutant and the pre-acquired pollution impact information, a comprehensive operational efficiency index is calculated, which can more comprehensively reflect the overall performance of the control unit in controlling multiple pollutants. If this comprehensive operational efficiency does not meet the preset requirements, the system will further analyze and identify the key chemical pollutants that have the greatest impact on the overall efficiency and whose own control status is not up to standard. Finally, for these identified key pollutants, the system or operators will adjust the deployment strategy of the local microenvironment control unit (e.g., increase the number of control units or change their location) or operating parameters (e.g., adjust the wind speed, working mode or replace specific filter elements) to achieve targeted optimization of the control unit, improve its purification efficiency for key pollutants, and thus improve the overall operational efficiency.

[0036] As one embodiment of the present invention, the step of evaluating the cumulative adsorption capacity of pollutants in the adsorption filter element inside the local microenvironment control unit includes:

[0037] Acquire information on the target chemical pollutant for the evaluation of the adsorption filter cartridge, as well as information on one or more coexisting chemical pollutants that compete with the target chemical pollutant for adsorption on the adsorption filter cartridge, and acquire concentration data of the target chemical pollutant and one or more coexisting chemical pollutants at the inlet of the local microenvironment control unit.

[0038] Obtain competitive influence parameters to quantify the degree of competitive influence of one or more coexisting chemical pollutants on the adsorption process of the target chemical pollutant on the adsorption filter cartridge;

[0039] Based on the obtained concentration data of the target chemical pollutant, the concentration data of one or more coexisting chemical pollutants, and the obtained competitive influence parameters, the adsorption amount of the target chemical pollutant per unit time under competitive adsorption conditions is determined.

[0040] The cumulative adsorption amount of the target chemical pollutant per unit time under competitive adsorption conditions is accumulated over time to obtain the cumulative adsorption amount of the adsorption filter for the target chemical pollutant. This cumulative adsorption amount is used for maintenance and early warning of the adsorption filter.

[0041] This method involves acquiring information on the target chemical pollutant for evaluating an adsorption filter cartridge, as well as information on one or more coexisting chemical pollutants that compete with the target chemical pollutant for adsorption on the filter cartridge. Competitive adsorption refers to the phenomenon where different chemical substances compete with each other at the same adsorption site on the adsorption material; the presence of one substance affects the adsorption capacity of another. Coexisting chemical pollutants refer to other chemical substances that coexist with the target chemical pollutant and participate in competitive adsorption. Furthermore, the method requires acquiring a competition effect parameter to quantify the degree of competitive influence of coexisting chemical pollutants on the adsorption process of the target chemical pollutant on the adsorption cartridge. This parameter can be a single value or a set of values ​​describing the inhibitory or promoting effect of coexisting pollutants on the adsorption rate or adsorption capacity of the target pollutant. Its specific form can be determined according to the adsorption model used; for example, it can reflect the influence of differences in the binding strength of different pollutant molecules to the adsorption site and their relative abundance in the gas phase on the adsorption equilibrium.

[0042] Based on the aforementioned need to assess the cumulative adsorption capacity of pollutants in adsorption filter cartridges, this method first obtains information on the target chemical pollutant to be assessed and coexisting chemical pollutants that compete with it for adsorption. This information forms the basis for subsequent quantitative analysis. Subsequently, real-time or historical concentration data of these target and coexisting chemical pollutants at the inlet of the local microenvironment control unit are acquired. These concentration data reflect the actual chemical environment faced by the adsorption filter cartridge. Crucially, this method introduces a competition influence parameter, which quantifies the degree of interference of coexisting pollutants on the adsorption process of the target pollutant. By combining the concentration data of the target chemical pollutant, the concentration data of coexisting chemical pollutants, and the competition influence parameter, the adsorption capacity of the target chemical pollutant per unit time under the current competitive adsorption conditions can be determined. This calculation process considers the actual impact of multiple pollutants coexisting on the adsorption efficiency of the target pollutant, making the calculation results closer to reality. Accumulating this adsorption capacity per unit time over time yields the cumulative adsorption capacity of the adsorption filter cartridge for the target chemical pollutant. This cumulative amount reflects the actual load borne by the filter cartridge, allowing for a more accurate assessment of the remaining adsorption capacity of the filter cartridge. Using this more accurate cumulative adsorption capacity for early warning of adsorption filter cartridge maintenance can avoid the problems of untimely maintenance or premature replacement caused by overestimating or underestimating filter cartridge lifespan using traditional methods. By integrating this precise filter cartridge condition assessment method into the entire plywood storage environment control system, it can be ensured that the local microenvironment control unit can operate effectively when needed, and that its core component, the adsorption filter cartridge, can be maintained in a timely and reasonable manner. This continuously guarantees the chemical quality of sensitive plywood and effectively addresses the risk of chemical cross-contamination mentioned in the background art.

[0043] As one embodiment of the present invention, the step of obtaining a competitive influence parameter for quantifying the degree of competitive influence of one or more coexisting chemical pollutants on the adsorption process of a target chemical pollutant on an adsorption filter cartridge includes:

[0044] Obtain the current values ​​of one or more actual environmental parameters affecting the competitive adsorption process within the plywood warehouse;

[0045] Obtain the mapping relationship between different combinations of pre-configured parameter values ​​of one or more actual environmental parameters and competing influence parameters;

[0046] Based on the current values ​​of the actual environmental parameters and the obtained mapping relationships, determine the competition impact parameters.

[0047] Among them, one or more actual environmental parameters affecting the competitive adsorption process refer to physical or chemical quantities in the plywood warehouse environment that can affect the adsorption efficiency of the adsorption filter cartridge for chemical pollutants and the competitive adsorption effect between different pollutants. These can include, but are not limited to, temperature, humidity, air pressure, and air velocity. The mapping relationship refers to the association rule or functional relationship established between a specific combination of actual environmental parameters and the corresponding competitive influence parameter values. This can be implemented using lookup tables, mathematical models, empirical formulas, or machine learning models. The competitive influence parameter refers to one or a set of values ​​used to quantitatively describe the degree to which non-target chemical pollutants inhibit or promote the adsorption process of target chemical pollutants on the adsorption sites on the surface or inside the adsorption filter cartridge under conditions of multiple pollutant coexistence. These parameters can include adsorption rate constants, adsorption equilibrium constants, or specific coefficients reflecting the intensity of competition.

[0048] This solution obtains the current values ​​of actual environmental parameters affecting the competitive adsorption process within the plywood warehouse, such as temperature, humidity, or air pressure. These parameters directly influence the adsorption capacity of the adsorbent and the competitive adsorption behavior among pollutants. Simultaneously, it establishes a mapping relationship between different combinations of actual environmental parameter values ​​and the competitive influence parameter. This mapping relationship reflects the changing influence of coexisting chemical pollutants on the adsorption process of the target chemical pollutant under different environmental conditions. Based on the obtained current values ​​of the actual environmental parameters, the competitive influence parameter corresponding to the current actual environmental conditions can be determined by querying or calculating this mapping relationship. This dynamically determined competitive influence parameter more accurately reflects the actual competitive intensity of coexisting pollutants on the target pollutant under the current environment. This more accurate competitive influence parameter is combined with the concentration data of the target chemical pollutant and coexisting chemical pollutants at the inlet of the local microenvironment control unit and substituted into the model for calculating the adsorption amount of the target chemical pollutant per unit time under competitive adsorption conditions. Because the competitive influence parameter can be dynamically adjusted according to the actual environmental parameters, the calculated adsorption amount per unit time more accurately reflects the actual adsorption rate of the adsorption filter cartridge under the current environment. By accumulating these adsorption amounts per unit time that change over time, a more accurate assessment of the cumulative adsorption amount of the adsorption filter for the target chemical pollutant can be obtained. This method, which dynamically adjusts the competing influence parameters based on actual environmental parameters, overcomes the evaluation errors caused by using fixed competing influence parameters. This makes the assessment of the cumulative adsorption amount of pollutants in the adsorption filter more accurate, thereby enabling more reliable maintenance warnings for the adsorption filter and avoiding untimely or excessive maintenance due to inaccurate assessments.

[0049] As one embodiment of the present invention, the competition influence parameter is used to quantify the degree of competition between one or more coexisting chemical pollutants and the adsorption process of the target chemical pollutant on the adsorption filter element.

[0050] As one embodiment of the present invention, the step of obtaining the mapping relationship between different combinations of one or more pre-configured actual environmental parameters and competing influence parameters includes:

[0051] Obtain performance data associated with the performance status of the adsorption filter element;

[0052] Obtain a preset mapping relationship between different combinations of one or more actual environmental parameters and competing influence parameters;

[0053] Based on the acquired performance data, evaluate the applicability of the acquired preset mapping relationship to the performance status of the adsorption filter element;

[0054] If the applicability does not meet the preset applicability standard, the preset mapping relationship is adjusted based on the performance data to generate an adjusted mapping relationship that reflects the performance status of the filter element. The adjusted mapping relationship is then used as a mapping relationship between different combinations of parameter values ​​of one or more actual environmental parameters and competing influence parameters.

[0055] If the preset applicable standard is met, the original preset mapping relationship will be used directly.

[0056] This solution optimizes the determination process of competing influence parameters by incorporating consideration of the performance status of the adsorption filter cartridge itself. First, the system acquires performance data reflecting the current operating state of the adsorption filter cartridge. Simultaneously, the system acquires a pre-established mapping relationship describing the relationship between environmental parameters and competing influence parameters. Then, the system uses the acquired performance data to evaluate the applicability of the preset mapping relationship under the current performance state of the filter cartridge. This evaluation process compares the actual performance of the filter cartridge with the preset relationship. Based on the evaluation results, if the preset mapping relationship accurately reflects the current performance of the filter cartridge, it is directly adopted. Conversely, if there is a significant deviation between the preset mapping relationship and the actual performance of the filter cartridge, the system will correct or update the preset mapping relationship based on the acquired performance data, generating a new mapping relationship that better reflects the current performance state of the filter cartridge. Ultimately, both the adjusted mapping relationship and the directly adopted preset mapping relationship will be used in conjunction with actual environmental parameters to determine the competing influence parameters. This method of dynamically adjusting or selecting the mapping relationship based on the actual performance of the filter cartridge overcomes the problem that static mapping relationships cannot adapt to changes in filter cartridge performance. By applying this dynamic mapping relationship determination method to the framework of determining competing influence parameters based on environmental parameters in the aforementioned scheme, the calculation of competing influence parameters can reflect the real adsorption capacity and environmental impact of the filter element in real time, thereby significantly improving the accuracy of pollutant cumulative adsorption assessment and providing a more reliable data basis for the maintenance early warning of adsorption filter elements.

[0057] As one embodiment of the present invention, the step of adjusting a preset mapping relationship based on performance data to generate an adjusted mapping relationship reflecting the performance status of the filter element includes:

[0058] Based on the acquired performance data, the degree of performance degradation of the adsorption filter element is quantified to obtain the degree of performance degradation.

[0059] Based on the obtained performance degradation degree and the obtained preset mapping relationship, determine the correction amount for one or more preset parameters in the preset mapping relationship, and obtain the correction amount;

[0060] The obtained correction amount is applied to one or more preset parameters in the preset mapping relationship to obtain the corrected parameters;

[0061] The mapping relationship, which includes the acquired corrected parameters, is used as the adjusted mapping relationship to reflect the performance status of the adsorption filter element.

[0062] Performance data refers to data related to the actual working state of the adsorption filter element, reflecting its adsorption capacity, efficiency, lifespan, etc., and may include pollutant removal efficiency, pressure drop, adsorption capacity, breakthrough time, etc. Performance degradation degree is a quantitative representation of the degree to which the current performance of the adsorption filter element has decreased relative to its initial or ideal performance; it can be a percentage, an index, a level, or a value calculated based on a specific performance index. The preset mapping relationship is a mathematical model, lookup table, or set of rules established before the adsorption filter element is put into use or based on its initial performance, used to describe the relationship between environmental parameters and competing influence parameters. The correction amount is calculated based on the performance degradation degree and used to adjust the value or adjustment factor of the parameter in the preset mapping relationship; it can be an additive correction value or a multiplicative correction factor. The corrected parameter is the updated value obtained after applying the correction amount to the preset parameter. The adjusted mapping relationship is a new mapping relationship constructed using the corrected parameters, used to more accurately reflect the current performance state of the adsorption filter element.

[0063] The implementation of this solution first quantifies the performance degradation degree of the adsorption filter element based on the acquired performance data, thus obtaining the performance degradation level. This means the system analyzes the filter element's performance data, such as pollutant removal efficiency and pressure drop, to determine how much the filter element's performance has declined. By quantifying the performance degradation degree, the actual working state of the filter element can be understood more accurately. Then, based on the acquired performance degradation degree and the acquired preset mapping relationship, the correction amount for one or more preset parameters in the preset mapping relationship is determined, thus obtaining the correction amount. The preset mapping relationship is the initial relationship between environmental parameters and competing influence parameters, but this relationship may change as the filter element ages. Therefore, it is necessary to adjust the parameters in the preset mapping relationship according to the performance degradation degree to better reflect the current state of the filter element. Determining the correction amount is a key step, as it determines how to adjust the preset mapping relationship to most accurately reflect the performance degradation of the filter element. Next, the acquired correction amount is applied to one or more preset parameters in the preset mapping relationship to obtain the corrected parameters. This means that the calculated correction amount is actually applied to the preset mapping relationship, updating the parameter values ​​therein. By updating the parameter values, the mapping relationship can be made more consistent with the current state of the filter element. Finally, the mapping relationship incorporating the acquired corrected parameters is used as an adjusted mapping relationship reflecting the performance status of the adsorption filter cartridge. This means that the updated mapping relationship is used to calculate the competing influence parameters. Since the parameters in the mapping relationship have been adjusted according to the performance degradation of the filter cartridge, the calculated competing influence parameters will be more accurate, thereby improving the accuracy of the assessment of the cumulative adsorption capacity of pollutants.

[0064] As one embodiment of the present invention, the step of quantifying the performance degradation degree of the adsorption filter element based on the acquired performance data includes:

[0065] Gas sensors are deployed at the inlet and outlet of the adsorption filter element to acquire the concentration data of one or more target chemical pollutants at the inlet and outlet of the adsorption filter element in real time.

[0066] Based on the concentration data obtained at the inlet and outlet, the instantaneous removal efficiency of the adsorption filter cartridge for one or more target chemical pollutants is calculated.

[0067] The immediate removal efficiency is compared with the initial removal efficiency or the preset removal efficiency threshold of the adsorption filter element to obtain the comparison results;

[0068] Based on the comparison results, the degree of performance degradation of the adsorption filter element is quantified.

[0069] The immediate removal efficiency refers to the ability of the adsorption filter cartridge to remove target chemical pollutants at a specific moment. It is expressed as the percentage difference between the inlet and outlet concentrations relative to the inlet concentration. It is calculated using the formula (inlet concentration - outlet concentration) / inlet concentration * 100% based on real-time acquired inlet and outlet concentration data. The initial removal efficiency refers to the optimal removal efficiency of the adsorption filter cartridge when it is brand new or newly put into use. It can serve as a benchmark for measuring its subsequent performance degradation. It can be determined using factory test data, calibration data after initial installation and operation, or technical parameters consulted according to the filter cartridge model and specifications. The preset removal efficiency threshold is the minimum acceptable removal efficiency level set for the adsorption filter cartridge in system design or actual application. Below this threshold, the filter cartridge performance is considered to have significantly degraded, requiring maintenance or replacement. It can be set based on factors such as the plywood's tolerance threshold for specific pollutants, ambient air quality standards, or equipment operating requirements. The comparison result is a qualitative or quantitative conclusion drawn from comparing the immediate removal efficiency with the initial removal efficiency or the preset removal efficiency threshold. For example, whether the immediate efficiency is lower than a certain percentage of the initial efficiency, or whether it is lower than the preset threshold. Quantifying the performance degradation of an adsorption filter cartridge refers to converting the performance status of the adsorption filter cartridge into a measurable value, level, or status identifier based on comparison results. For example, the degradation degree can be divided into several levels such as slight, moderate, and severe, or a percentage value can be used to represent the percentage decrease relative to the initial performance.

[0070] This solution continuously monitors the immediate removal efficiency of the adsorption filter cartridge for target chemical pollutants, capturing the dynamic process of filter cartridge performance changes over time and avoiding errors that may arise from relying on data from a single moment. The ability to more accurately quantify performance degradation stems from the rich time-series data provided by continuous monitoring, reflecting the filter cartridge's true performance under different operating conditions. Comparing the acquired immediate removal efficiency with the filter cartridge's initial removal efficiency or a preset removal efficiency threshold provides a clear reference for assessing performance degradation. The initial removal efficiency represents the filter cartridge's optimal performance state, while the preset removal efficiency threshold defines the minimum acceptable performance standard. By comparing with these benchmarks, the extent of filter cartridge performance degradation can be clearly understood, and whether it has reached a point requiring attention or intervention. Quantifying the degree of performance degradation based on the comparison results transforms qualitative comparison results into actionable information. For example, if the immediate removal efficiency consistently falls below a certain percentage of the initial efficiency or below the preset threshold, it can be determined that the filter cartridge's performance degradation is severe, requiring timely maintenance or replacement. This quantification provides a precise basis for subsequent maintenance warnings, preventing over-maintenance or under-maintenance. In plywood warehouse environments, the performance degradation of adsorption filter cartridges directly affects the purification effect of local microenvironment control units, thereby impacting the control of cumulative chemical exposure doses to sensitive plywood and the adjustment of the mapping relationship of competing adsorption parameters. By accurately quantifying filter cartridge performance degradation, its impact on pollutant adsorption capacity can be assessed more reliably, allowing for a more precise adjustment of the mapping relationship of competing parameters. This ensures the accuracy of the adsorption capacity assessment per unit time determined based on this mapping relationship, ultimately improving the reliability of maintenance warnings for adsorption filter cartridges.

[0071] As one embodiment of the present invention, the step of determining the adsorption amount of a target chemical pollutant per unit time under competitive adsorption conditions includes:

[0072] Acquire the concentration data Ct of the target chemical pollutant at the inlet of the local microenvironment control unit;

[0073] Acquire concentration data Ci of one or more coexisting chemical pollutants at the inlet of a local microenvironment control unit;

[0074] The adsorption capacity qt of the target chemical pollutant under competitive adsorption conditions is calculated using the following formula: qt=kt*Ct / (1+Kt*Ct+sum(Ki*Ci for all i)), where kt is the adsorption rate constant of the target chemical pollutant, Kt is the adsorption equilibrium constant of the target chemical pollutant, Ki is the adsorption equilibrium constant of one or more coexisting chemical pollutants, and sum(Ki*Ci for all i) is the sum of the Ki*Ci terms for all coexisting chemical pollutants i.

[0075] This method first acquires real-time concentration data of the target chemical pollutant and one or more coexisting chemical pollutants in the environment at the inlet of the air purification unit using sensors or other monitoring methods. This concentration data reflects the actual gas composition to be processed by the adsorption filter. Simultaneously, pre-determined competing influence parameters are acquired. These parameters are inherent properties of the adsorption filter material for a specific pollutant system. Through experiments or modeling, the adsorption capacity of the target pollutant itself and the inhibitory effect of coexisting substances on its adsorption are quantified. The acquired real-time concentration data and competing influence parameters are then substituted into a specific calculation formula. This formula is based on multi-component adsorption theory, and its structure reflects that the adsorption rate of the target pollutant is proportional to its driving force (concentration), while being inhibited by the degree to which adsorption sites are occupied by the target pollutant itself and coexisting substances. By performing this calculation, a more accurate adsorption capacity per unit time is obtained, taking into account the complexity of the actual environmental composition. Using this more accurate adsorption capacity per unit time for cumulative calculation yields a more reliable assessment of the cumulative adsorption capacity of pollutants. This accurate method of determining the adsorption capacity per unit time makes the assessment of the cumulative adsorption capacity of the adsorption filter more precise, thus providing a more reliable basis for early warning of adsorption filter maintenance and avoiding resource waste or insufficient protection due to assessment bias.

[0076] The above description is merely an embodiment of the present invention and is not intended to limit the scope of protection of the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A classification and storage system based on a plywood warehouse environment, used to ensure the chemical quality of plywood during storage, characterized in that, The system includes: The property profile acquisition module is used to acquire a chemical property profile established for sensitive plywood, the chemical property profile including the sensitivity of the sensitive plywood to specific pollutants and the pollution tolerance threshold. The exposure dose calculation module is used to calculate the cumulative chemical exposure dose of the sensitive plywood based on the chemical property profile and the pollutant concentration information in the local chemical environment where the sensitive plywood is located. A control unit deployment module is used to deploy a movable local microenvironment control unit in the local microenvironment of the sensitive plywood when the cumulative dose of chemical exposure reaches a certain condition. The operation performance monitoring and adjustment module is used to monitor the operation performance of the local microenvironment control unit after deployment, and adjust the deployment strategy or operation parameters of the local microenvironment control unit based on the monitored operation performance. The filter cartridge maintenance early warning module is used to assess the cumulative adsorption amount of pollutants in the adsorption filter cartridge inside the local microenvironment control unit, and to provide maintenance early warning for the adsorption filter cartridge based on the assessed cumulative adsorption amount of pollutants.

2. The classification and storage system based on a plywood warehouse environment according to claim 1, characterized in that, The local microenvironment control unit is used to purify the air in the local microenvironment to reduce the concentration of pollutants.

3. The classification and storage system based on a plywood warehouse environment according to claim 1, characterized in that, The steps of monitoring the operational performance of the local microenvironment control unit after deployment, and adjusting the deployment strategy or operating parameters of the local microenvironment control unit based on the monitored operational performance, include: Obtain information on the types of target chemical pollutants associated with the sensitive plywood and the degree of pollution impact of each target chemical pollutant; Monitoring the concentration data of multiple target chemical pollutants within the effective area of ​​the local microenvironment control unit; Based on the concentration data of each target chemical pollutant obtained from the concentration data of the various target chemical pollutants and the allowable concentration limit of the target chemical pollutant of the sensitive plywood, the control status of the target chemical pollutant is evaluated to obtain the control status of the various target chemical pollutants. By combining the control status of multiple target chemical pollutants and the obtained pollution impact information, the comprehensive operational efficiency of the local microenvironment control unit is determined, and this comprehensive operational efficiency is used as the operational efficiency obtained from the monitoring. If the overall operational efficiency does not meet the preset conditions, one or more key chemical pollutants that have a dominant influence on the overall operational efficiency and whose control status is not up to standard are identified. And for one or more key chemical pollutants, the deployment strategy or operating parameters of the local microenvironment control unit are adjusted.

4. A classification and storage system based on a plywood warehouse environment according to claim 1, characterized in that, The step of evaluating the cumulative adsorption capacity of pollutants in the adsorption filter element inside the local microenvironment control unit includes: Information on the target chemical pollutant being evaluated for the adsorption filter element, as well as information on one or more coexisting chemical pollutants that compete with the target chemical pollutant for adsorption on the adsorption filter element, and concentration data of the target chemical pollutant and the one or more coexisting chemical pollutants at the inlet of the local microenvironment control unit are obtained. Obtain competitive influence parameters to quantify the degree of competitive influence of the one or more coexisting chemical pollutants on the adsorption process of the target chemical pollutant on the adsorption filter element; Based on the obtained concentration data of the target chemical pollutant, the concentration data of the one or more coexisting chemical pollutants, and the obtained competition influence parameters, the adsorption amount of the target chemical pollutant per unit time under competitive adsorption conditions is determined. The cumulative adsorption amount of the target chemical pollutant per unit time under competitive adsorption conditions is accumulated over time to obtain the cumulative adsorption amount of the adsorption filter for the target chemical pollutant. This cumulative adsorption amount is used to provide maintenance warnings for the adsorption filter.

5. A classification and storage system based on a plywood warehouse environment according to claim 4, characterized in that, The step of obtaining the competitive influence parameter for quantifying the degree of competitive influence of the one or more coexisting chemical pollutants on the adsorption process of the target chemical pollutant on the adsorption filter element includes: Obtain the current values ​​of one or more actual environmental parameters within the plywood warehouse that affect the competitive adsorption process; Obtain the pre-configured mapping relationship between different combinations of parameter values ​​of one or more actual environmental parameters and the competing influence parameters; The competition impact parameters are determined based on the current values ​​of the actual environmental parameters and the obtained mapping relationship.

6. A classification and storage system based on a plywood warehouse environment according to claim 5, characterized in that, The competition effect parameter is used to quantify the degree of competition between the one or more coexisting chemical pollutants and the target chemical pollutant in the adsorption process on the adsorption filter element.

7. A classification and storage system based on a plywood warehouse environment according to claim 5, characterized in that, The step of obtaining the pre-configured mapping relationship between different combinations of the one or more actual environmental parameters and the competing influence parameters includes: Obtain performance data associated with the performance status of the adsorption filter element; Obtain a preset mapping relationship between different combinations of parameter values ​​of the one or more actual environmental parameters and the competing influence parameters; Based on the acquired performance data, evaluate the applicability of the acquired preset mapping relationship to the performance state of the adsorption filter element; If the applicability does not meet the preset applicability standard, the preset mapping relationship is adjusted based on the performance data to generate an adjusted mapping relationship that reflects the performance status of the filter element. The adjusted mapping relationship is then used as a mapping relationship between different combinations of one or more actual environmental parameters and competing influence parameters. If the preset applicable standard is met, the original preset mapping relationship will be used directly.

8. A classification and storage system based on a plywood warehouse environment according to claim 7, characterized in that, The step of adjusting the preset mapping relationship based on performance data to generate an adjusted mapping relationship reflecting the performance status of the filter element includes: Based on the acquired performance data, the degree of performance degradation of the adsorption filter element is quantified to obtain the degree of performance degradation; Based on the obtained performance degradation degree and the obtained preset mapping relationship, determine the correction amount for one or more preset parameters in the preset mapping relationship, and obtain the correction amount; The obtained correction amount is applied to one or more preset parameters in the preset mapping relationship to obtain the corrected parameters; The mapping relationship including the obtained modified parameters is used as the adjusted mapping relationship reflecting the performance status of the adsorption filter element.

9. A classification and storage system based on a plywood warehouse environment according to claim 8, characterized in that, The step of quantifying the performance degradation degree of the adsorption filter element based on the obtained performance data includes: Gas sensors are deployed at the inlet and outlet of the adsorption filter element to acquire the concentration data of one or more target chemical pollutants at the inlet and outlet of the adsorption filter element in real time. Based on the obtained concentration data at the inlet and outlet, the instantaneous removal efficiency of the adsorption filter cartridge for the one or more target chemical pollutants is calculated. The instantaneous removal efficiency is compared with the initial removal efficiency or a preset removal efficiency threshold of the adsorption filter element to obtain the comparison result; Based on the comparison results, the degree of performance degradation of the adsorption filter element is quantified.

10. A classification and storage system based on a plywood warehouse environment according to claim 4, characterized in that, The step of determining the adsorption amount of the target chemical pollutant per unit time under competitive adsorption conditions includes: Acquire the concentration data Ct of the target chemical pollutant at the inlet of the local microenvironment control unit; Acquire the concentration data Ci of the one or more coexisting chemical pollutants at the inlet of the local microenvironment control unit; The adsorption amount qt of the target chemical pollutant under competitive adsorption conditions is calculated using the following formula: qt=kt*Ct / (1+Kt*Ct+sum(Ki*Ci for all i)), where kt is the adsorption rate constant of the target chemical pollutant, Kt is the adsorption equilibrium constant of the target chemical pollutant, Ki is the adsorption equilibrium constant of one or more coexisting chemical pollutants, and sum(Ki*Ci for all i) is the sum of the Ki*Ci terms for all coexisting chemical pollutants i.

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