Furniture wood drying system based on intelligent manufacturing

Abstract

The present application relates to the technical fields of intelligent manufacturing, in particular to a furniture wood drying system based on intelligent manufacturing, comprising a material analysis module, a pretreatment control module, a drying control module, a post-treatment control module and an inspection module; the present application ensures uniform heating of wood during the drying process by detecting humidity changes in each part of the wood, avoiding uneven drying, warping or cracking caused by humidity differences; the present application improves the stability and quality of the final product by adjusting temperature and air speed parameters during the drying process through customized drying programs; the present application automatically adjusts the parameters of each link such as pretreatment, drying and post-treatment through intelligent control, reduces manual intervention and improves production efficiency; the present application reduces excessive heating and energy waste by adjusting heating power and air speed in real time through a negative feedback PID controller, realizes a more energy-saving drying process, thereby reducing production costs and improving energy efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent manufacturing, specifically a furniture wood drying system based on intelligent manufacturing. BACKGROUND

[0002] Intelligent manufacturing technology refers to the use of intelligent technology and equipment to integrate advanced information technology, automation technology, artificial intelligence, big data, cloud computing, the Internet of Things, and robot technology with manufacturing processes to improve the intelligent, automated, and digital levels of manufacturing systems, and to optimize production processes, efficiently utilize resources, and improve product quality.

[0003] The application of intelligent manufacturing in furniture wood drying systems can significantly improve production efficiency, wood drying quality, and energy utilization. Real-time data on the state of the wood, including humidity, temperature, moisture content, etc., are collected by sensors. These data are used to determine the drying state of the wood and provide dynamic feedback. However, despite the significant advantages of intelligent manufacturing technology in wood drying systems, there are still some challenges and shortcomings. First, a large amount of real-time data is generated during the wood drying process, such as temperature, humidity, moisture content, wind speed, heating power, etc. Efficiently processing, storing, and analyzing this big data requires powerful computing power and efficient data management systems.

[0004] Secondly, wood drying systems usually involve multiple devices and control modules, such as heating sources, humidity adjustment devices, fans, etc. Ensuring the coordinated work of different devices and smooth information transmission is still a technical challenge.

[0005] To address the above problems, it is necessary to propose a furniture wood drying system based on intelligent manufacturing. SUMMARY

[0006] The present application aims to solve the problems in the background art and proposes a furniture wood drying system based on intelligent manufacturing.

[0007] The purpose of the present application can be achieved by the following technical solutions:

[0008] A furniture wood drying system based on intelligent manufacturing includes a material analysis module, a pretreatment control module, a drying control module, a post-treatment control module, and an inspection module.

[0009] The material analysis module collects the physical and chemical properties of the wood, including moisture content and appearance conditions, through sensors to determine the drying requirements of the wood.

[0010] The geometric size information of the wood is obtained, including the length L, width B, and thickness H.

[0011] A plurality of detection points are arranged on the surface of the wood, and the detection points are numbered, with the number being i; i = 1, 2, 3,..., n; wherein n is the total number of detection points. A three-dimensional perception coordinate system XOY of the wood is established with the corner point of the wood as the origin, the direction of the side length H as the X axis, and the direction of the width B as the Y axis.

[0012] The wood humidity is measured by a resistance hygrometer. Two electrodes are placed in two adjacent detection points i1 and i2 of the wood, and the resistance value R(i1, i2) between the two detection points is measured. Wherein i1∈i and i2∈i.

[0013] The wood moisture content MC(i1, i2) between the detection points i1 and i2 is calculated by the formula

[0014] The wood moisture content MC(i1, i2) between the detection points i1 and i2 is calculated by the formula

[0015] The uniformity of the wood moisture content is detected, and the wood moisture content uniformity index σ is calculated by the formula The wood moisture content uniformity index σ is calculated by the formula MC MC MC

[0016] As a preferred mode of the present application, the drying requirements of the wood are determined according to the wood moisture content average value, the wood moisture content uniformity index, and the wood moisture content continuity index, including the parameter setting of the surface humidity uniformization treatment and the parameter setting of the heating curve.

[0017] The parameter setting of the humidity uniformization treatment is specifically:

[0018] If the wood moisture content uniformity index σ MC is lower than a preset threshold value and the wood moisture content continuity index U MC is greater than a preset threshold value , it is determined that the wood directly enters the high-temperature heating process, and a first pretreatment execution symbol PRO1 = 0 is output.

[0019] Otherwise, it is determined that the wood moisture content distribution is discontinuous and uneven, and a first pretreatment execution symbol PRO1 = 1 is output.

[0020] And the wood moisture content continuity index U is calculated by the formula ​​​The surface moisture uniformization treatment parameters include a pre-treatment time Tpro and a pre-treatment heating power Ppro. Wherein γ1, γ2 and γ3 are preset influence indexes, K1, K2 and K3 are preset weight factors; Tpro0 is a preset initial pre-treatment time; wherein and are preset threshold values of the moisture content average, the moisture content uniformity index and the moisture content continuity index, respectively.

[0021] The heating curve parameter setting is specifically:

[0022] The preset heating curve function, i.e. the relationship between the heating time t and the heating temperature T, is called: Wherein α is a temperature change index; T0 is an initial temperature, and Tfinal is a preset final temperature. Wherein t1 is a preset temperature change time, and tfinal is a preset final time.

[0023] Let the initial temperature T0 and the moisture content average μ MC have the following relationship: Wherein β is a preset influence factor.

[0024] On the other hand, the coordinates (xi, yi, zi) of each detection point i in XOY in the perception coordinate system are obtained by the laser range finder. The surface flatness index PI is calculated by the formula Z . Wherein is the surface average height, and σ Z is the surface height standard deviation.

[0025] When PI Z is greater than a preset threshold value Let the second pre-treatment execution symbol PRO2 = 1; otherwise, let the second pre-treatment execution symbol PRO2 = 0.

[0026] The pre-treatment control module performs appearance pre-treatment and surface moisture uniformization treatment on the wood, ensures the wood surface flatness through surface flatness detection and scraping process, and ensures that the moisture distribution of the wood is relatively uniform when entering the drying process through the surface moisture uniformization treatment, reduces defects such as warping and cracking generated in the drying process, and provides stable initial conditions for subsequent drying. The specific process is as follows:

[0027] The first pre-treatment execution symbol PRO1 and the second pre-treatment execution symbol PRO2 are called. If PRO1 = 1, appearance pre-treatment is performed; if PRO2 = 1, surface moisture uniformization treatment is performed.

[0028] The appearance pre-treatment is specifically: the wood is sent into a scraping machine, and the scraping tool scrapes the wood surface to a preset depth d scrape = min{q × PI z, dmax, |zmax-zmin|} is performed on the wood surface, where q is an empirical coefficient, dmax is a preset standard scraping depth, and |zmax-zmin| is the difference between the maximum surface height and the minimum surface height. Ensure that each scraping covers all uneven areas of the wood surface until the flatness requirement, i.e., PI Z less than or equal to a preset threshold Exit the appearance pre-processing flow and set the first pre-processing execution symbol PRO1 = 0. Otherwise, re-execute the appearance pre-processing flow.

[0029] The surface moisture uniformity treatment specifically includes: immersing the wood in a water bath or steam tank, introducing moisture into the interior of the wood, and controlling the temperature and humidity of the liquid or steam for heat soaking treatment. Heating is performed according to the pre-processing heating power Fpro, and the duration is Tpro. After completing the heat soaking treatment, the temperature of the wood is slowly reduced to avoid stress caused by sudden temperature changes. After the temperature of the wood is reduced to a preset temperature, moisture content uniformity detection is performed again to obtain the average moisture content μ MC , the moisture content uniformity index σ MC , and the moisture content continuity index U MC When the conditions that the moisture content uniformity index σ MC is lower than a preset threshold and the moisture content continuity index U MC is greater than a preset threshold are met, exit the surface moisture uniformity treatment flow and set the second pre-processing execution symbol PRO2 = 0. Otherwise, re-execute the surface moisture uniformity treatment flow.

[0030] The drying control module calls the first pre-processing execution symbol PRO1 and the second pre-processing execution symbol PRO2. If PRO1 = 0 and PRO2 = 0, the overall drying flow is executed.

[0031] The overall drying flow specifically includes:

[0032] The wood is dried overall by multiple air sources and heating sources, and multiple heating sources and multiple air sources are fine-tuned based on a PID controller to ensure that the drying temperature is maintained within an optimal range, avoiding excessive drying or uneven drying.

[0033] The PID controller specifically includes:

[0034] A heating curve function is called:

[0035] The temperature of each detection point i of the wood surface temperature during the drying process is recorded in real time by a temperature sensor.

[0036] A temperature difference function e(t) = T(t) - Ti(t) is set.

[0037] By formula Output control quantity ui 1,2 (t), namely the air source control quantity ui1(t) and the heat source control quantity ui2(t). Wherein is a proportional influence coefficient; is an integral influence coefficient; is a differential influence coefficient.

[0038] By formula Output power adjustment value ΔP wind of each air source j1 and each heating source j2 warm j2, wherein j1 is an air source number symbol; j2 is a heating source number symbol; d(i, j1) is the distance from detection point i to air source j1; d(i, j2) is the distance from detection point i to heating source j2.

[0039] The post-processing control module maintains the environmental parameters of the wood after the overall drying process to prevent warping or cracking during the cooling process.

[0040] The environmental parameters include temperature and wind speed.

[0041] Retrieve the preset cooling curve Ensure that the temperature difference between the surface and the interior of the wood gradually decreases, avoiding the initiation of residual stress and deformation in the interior of the wood. Wherein Tmax is the highest temperature on the surface of the wood after the overall drying process, and η is the preset cooling influence factor; wherein T0 is the preset regression temperature, and T environment is the environmental temperature.

[0042] Retrieve the PID controller while performing temperature control through the cooling curve, and record the temperature Ti of each detection point i on the surface of the wood during the drying process in real time through the temperature sensor. Set the temperature difference function f(t) = T^(t) - Ti(t). By formula Output control quantity ui 1,2 (t), namely the air source control quantity ui1(t) and the heat source control quantity ui2(t). By formula Output power adjustment value ΔP wind of each air source j1 and each heating source j2 warm j2, wherein j1 is an air source number symbol; j2 is a heating source number symbol; d(i, j1) is the distance from detection point i to air source j1; d(i, j2) is the distance from detection point i to heating source j2.

[0043] The inspection module conducts comprehensive quality detection on the wood to ensure that it meets the use standards. Quality detection includes moisture content, dimensional change, and surface quality inspection, etc., to ensure that the wood has good stability and quality during use.

[0044] The resistance value R(i1, i2) of the wood between the two detection points is measured again, and the maximum moisture content MCmax(i1, i2) is calculated.

[0045] The size change that occurs during the drying process is calculated by comparing the size before drying with the size after drying Wherein Lfinal, Bfinal and Hfinal are the final length, width and thickness of the wood.

[0046] As a preferred mode of the present application, the number of defect points N on the surface of the wood is obtained defects The surface defect coefficient DI is calculated by the formula

[0047] When MCmax(i1, i2) is less than the preset threshold, the moisture content is determined to be qualified;

[0048] When ΔL, ΔB and ΔH are all less than the preset threshold, the size change is determined to be qualified;

[0049] When DI is less than the preset threshold, the surface quality is determined to be qualified.

[0050] As a preferred mode of the present application, all detection data and control parameters are recorded and archived, and production process reports and inspection reports are generated based on natural language processing.

[0051] Compared with the prior art, the present application has the following advantages:

[0052] 1. The present application detects the humidity change of each part of the wood through the multiple detection points arranged in the material analysis module and the resistance hygrometer, ensuring that the wood is uniformly heated during the drying process and avoiding uneven drying, warping or cracking caused by humidity difference; by customizing the drying scheme to adjust the temperature and air speed parameters during the drying process, it ensures that each piece of wood can be dried under the most suitable conditions, improving the stability and quality of the final product;

[0053] 2. The present application automatically adjusts the parameters of each link such as pretreatment, drying and post-treatment through intelligent control, reduces manual intervention and improves production efficiency; through the real-time adjustment of heating power and air speed by the PID controller, it reduces excessive heating and energy waste, realizes a more energy-saving drying process, thereby reducing production cost and improving energy efficiency;

[0054] ​3、The present application can monitor the drying quality of wood in real time through quality detection of the inspection module combined with moisture content, dimensional change and surface quality inspection. Any deviation can be quickly found and adjusted; all detection data and control parameters can be recorded and archived to form a complete production file. This not only helps quality control, but also provides data support for product post-tracing and technical improvement. BRIEF DESCRIPTION OF DRAWINGS

[0055] In order to facilitate the understanding of those skilled in the art, the present application will be further described below in conjunction with the drawings:

[0056] Figure 1 The system block diagram of the present application; DETAILED DESCRIPTION

[0057] The technical solutions of the present application will be described below in conjunction with the embodiments, obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor belong to the scope of protection of the present application.

[0058] Please refer to Figure 1 As shown in the figure, a furniture wood drying system based on intelligent manufacturing, comprising a material analysis module, a pretreatment control module, a drying control module, a post-treatment control module and an inspection module.

[0059] The material analysis module collects the physicochemical properties of wood through sensors, including moisture content properties and appearance conditions, and judges the drying requirements of wood.

[0060] The geometric size information of wood is obtained, including side length L, width B and thickness H.

[0061] A number of detection points are arranged on the surface of the wood, and the detection points are numbered, the number symbol is i; i=1, 2, 3,..., n; Where n is the total number of detection points. The three-dimensional perception coordinate system XOY of the wood is established with the corner point of the wood as the origin, the side length H direction as the X axis and the width B direction as the Y axis.

[0062] The wood humidity is measured by resistance hygrometer, two electrodes are placed in two adjacent detection points i1 and i2 of the wood, and the resistance value R(i1, i2) between the two detection points of the wood is measured. Where i1∈i and i2∈i.

[0063] The formula is

[0064] The moisture content MC(i1, i2) between the detection points i1 and i2 is calculated. Wherein R0 is the resistance reference value; L(i1, i2) is the distance between the detection points i1 and i2, and p is the wood density, and p0 is the density reference value. Wherein A1 and A2 are empirical coefficients; K1 and K2 are influence indexes.

[0065] The uniformity of the moisture content of the wood is detected, and the formula The average value of the moisture content μ MC , the uniformity index of the moisture content σ MC and the continuity index of the moisture content U MC are calculated.

[0066] Further, the drying requirements of the wood are determined according to the average value of the moisture content, the uniformity index of the moisture content and the continuity index of the moisture content, including the parameter setting of the surface humidity uniformization treatment and the parameter setting of the heating curve.

[0067] The parameter setting of the humidity uniformization treatment is specifically:

[0068] If the uniformity index of the moisture content σ MC is lower than a preset threshold value and the continuity index of the moisture content U MC is greater than a preset threshold value , it is determined that the wood directly enters the high-temperature heating process, and a first pretreatment execution symbol PRO1=0 is output.

[0069] Otherwise, it is determined that the moisture content distribution of the wood is discontinuous and uneven, and direct heating drying will cause cracks or warping, so the wood needs to be subjected to surface humidity uniformization treatment first and then enter the high-temperature heating process, and a first pretreatment execution symbol PRO1=1 is output. Furthermore, the surface humidity uniformization treatment parameters including the pretreatment time Tpro and the pretreatment heating power Ppro are determined by the formula . Wherein γ1, γ2 and γ3 are preset influence indexes, K1, K2 and K3 are preset weight factors; Tpro0 is a preset initial pretreatment time; wherein and are the preset threshold values of the average value of the moisture content, the uniformity index of the moisture content and the continuity index of the moisture content, respectively.

[0070] The parameter setting of the heating curve is specifically:

[0071] A preset heating curve function, i.e. the relationship between the heating time t and the heating temperature T, is called: Wherein a is a temperature change index; T0 is an initial temperature, and Tfinal is a preset final temperature. Wherein t1 is a preset temperature change time, and tfinal is a preset final time.

[0072] Let the initial temperature T0 and the average moisture content μ of the wood be MC The relationship is: Where β is a preset influence factor.

[0073] On the other hand, the coordinates (xi, yi, zi) of each detection point i in XOY in the perception coordinate system are obtained by the laser range finder. The surface flatness index PI is calculated by the formula Z Where is the average height of the surface, and σ Z is the standard deviation of the surface height.

[0074] When PI Z is greater than a preset threshold Let the second pre-processing execution symbol PRO2 = 1; otherwise, let the second pre-processing execution symbol PRO2 = 0.

[0075] The pre-processing control module performs appearance preprocessing and surface moisture uniformization treatment on the wood, ensures the flatness of the wood surface through surface flatness detection and scraping process, and ensures that the moisture distribution of the wood is relatively uniform when entering the drying process through surface moisture uniformization treatment, reduces defects such as warping and cracking during the drying process, and provides stable initial conditions for subsequent drying. The specific process is:

[0076] The first pre-processing execution symbol PRO1 and the second pre-processing execution symbol PRO2 are called. If PRO1 = 1, appearance preprocessing is performed; if PRO2 = 1, surface moisture uniformization treatment is performed.

[0077] The appearance preprocessing specifically includes: feeding the wood into a scraping machine, and the scraping tool scrapes the wood surface at a set depth d scrape = min{q x PI z , dmax, |zmax-zmin|}, where q is an empirical coefficient, dmax is a preset standard scraping depth, and |zmax-zmin| is the difference between the maximum surface height and the minimum surface height. Ensure that each scraping covers all uneven areas of the wood surface until the flatness requirement is met, i.e., PI Z is less than or equal to a preset threshold Exit the appearance preprocessing process and let the first pre-processing execution symbol PRO1 = 0. Otherwise, re-execute the appearance preprocessing process.

[0078] It should be noted that the wood surface may have irregular or protruding parts that affect the overall heat transfer uniformity of the wood during the drying process. Therefore, mechanical scraping or trimming is needed to make the wood surface flat to reduce internal moisture differences caused by uneven heat transfer of the wood.

[0079] ​The surface moisture homogenization treatment specifically involves immersing the wood in a water bath or steam bath to introduce moisture into the wood, and controlling the temperature and humidity of the liquid or steam for a hot soaking treatment. Heating is performed according to the pretreatment heating power Fpro for a duration Tpro. After the hot soaking treatment is complete, the wood temperature is slowly reduced to avoid stress caused by sudden temperature changes. Once the wood temperature has decreased to a preset temperature, the moisture content uniformity is tested again to obtain the average moisture content μ. MC Moisture content uniformity index σ MC and moisture content continuity index U MC When the condition is met: moisture content uniformity index σ MC Below the preset threshold And the moisture content continuity index U MC Greater than the preset threshold If the condition is met, exit the surface humidity homogenization process and set the second preprocessing executor PRO2 to 0. Otherwise, re-execute the surface humidity homogenization process.

[0080] The drying control module retrieves the first preprocessing executor PRO1 and the second preprocessing executor PRO2. If PRO1 = 0 and PRO2 = 0, the overall drying process is executed.

[0081] The overall drying process is as follows:

[0082] The wood is dried as a whole by using multiple air and heat sources, and the drying temperature is kept within the optimal range by using a PID controller to fine-tune the multiple heat and air sources, thus avoiding over-drying or uneven drying.

[0083] The PID controller specifically refers to:

[0084] Function to retrieve heating curve:

[0085] Temperature Ti at each detection point i on the surface of the wood is recorded in real time by a temperature sensor during the drying process.

[0086] Define the temperature difference function as e(t) = T(t) - Ti(t).

[0087] Through formula Output control quantity ui 1,2 (t), namely, the wind source control quantity ui1(t) and the heat source control quantity ui2(t). This is the proportional influence coefficient; This is the integral influence coefficient; This is the differential influence coefficient.

[0088] Through formula Output the power adjustment value ΔP of each air source j1 windthe power adjustment value ΔP of each heating source j2 warm j2, where j1 is the air source number symbol; j2 is the heating source number symbol; d(i, j1) is the distance from detection point i to air source j1; d(i, j2) is the distance from detection point i to heating source j2.

[0089] The post-processing control module maintains the environmental parameters of the wood after the overall drying process to prevent warping or cracking during the cooling process.

[0090] The environmental parameters include temperature and air speed.

[0091] Retrieve the preset cooling curve Ensure that the temperature difference between the surface and the interior of the wood gradually decreases, avoiding the generation of residual stress and deformation in the interior of the wood. Where Tmax is the highest temperature on the surface of the wood after the overall drying process, and η is the preset cooling influence factor; where T0 is the preset regression temperature, and T environment is the ambient temperature.

[0092] Retrieve the PID controller while performing temperature control through the cooling curve, and record the temperature Ti of each detection point i on the surface of the wood during the drying process in real time through the temperature sensor. Set the temperature difference function f(t) = T^(t) - Ti(t). Through the formula

[0093] Output the control amount ui 1,2 (t), which is the air source control amount ui1(t) and the heating source control amount ui2(t). Through the formula Output the power adjustment value ΔP of each air source j1 wind and the power adjustment value ΔP of each heating source j2 warm j2, where j1 is the air source number symbol; j2 is the heating source number symbol; d(i, j1) is the distance from detection point i to air source j1; d(i, j2) is the distance from detection point i to heating source j2.

[0094] The inspection module conducts comprehensive quality detection on the wood to ensure that it meets the use standards. Quality detection includes moisture content, dimensional change, and surface quality inspection, etc., to ensure that the wood has good stability and quality during use.

[0095] Measure the resistance value R(i1, i2) between the two detection points of the wood again, and calculate the maximum moisture content MCmax(i1, i2).

[0096] Compare the dimensions before drying the wood, and calculate the dimensional change that occurs during the drying process Where Lfinal, Bfinal, and Hfinal are the final length, width, and thickness of the wood.

[0097] Further, the number N of defect points on the wood surface is obtained defects . The surface defect coefficient DI is calculated by the formula

[0098] When MCmax(i1, i2) is less than a preset threshold, it is determined that the moisture content is qualified;

[0099] When AL, AB and AH are all less than a preset threshold, it is determined that the size change is qualified;

[0100] When DI is less than a preset threshold, it is determined that the surface quality is qualified.

[0101] Further, all detection data and control parameters are recorded and archived, and production process reports and inspection reports are generated based on natural language processing.

[0102] It should be understood that the terms "comprises" and "comprising" used in the specification and claims of the disclosure indicate the presence of the described features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0103] It should also be understood that the terminology used herein in the specification and claims of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this specification and the claims, the singular forms "a," "an" and "the" include plural referents unless the context clearly dictates otherwise. It should further be understood that the terms "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items, as well as the

[0104] The preferred embodiments of the application disclosed above are only used to help explain the present application. The preferred embodiments do not describe all of the details of the application, nor limit the application to the specific embodiments. Obviously, many modifications and variations of the application can be made in light of the teachings of the specification. The embodiments are chosen and described in order to best explain the principles of the application and its practical application, to thereby enable others skilled in the art to best utilize the application. The application is limited only by the claims and their full scope and equivalents.​

Claims

1. A furniture wood drying system based on intelligent manufacturing, comprising a material analysis module, a pretreatment control module, and a drying control module, characterized in that: The material analysis module collects the physicochemical properties of wood through sensors, including moisture content and appearance conditions, to determine the drying requirements of the wood; it acquires the geometric dimensional information of the wood, including side length L, width B, and thickness H; it arranges several detection points on the wood surface and numbers them with the symbol i; i = 1, 2, 3, ..., n; where n is the total number of detection points; it establishes a three-dimensional sensing coordinate system XOY for the wood, with the corner point as the origin, the side length H direction as the X-axis, and the width B direction as the Y-axis; it performs moisture content and appearance condition detection; and it outputs the first and second preprocessing control symbols based on the detection results. The pre-treatment control module retrieves the first and second pre-treatment control symbols. If the first pre-treatment control symbol is equal to 1, the appearance pre-treatment is performed to ensure that the wood surface is flat. If the second pre-treatment control symbol is equal to 1, moisture is introduced into the wood through surface humidity homogenization treatment. The temperature and humidity of the liquid or steam are controlled for hot soaking treatment to ensure that the moisture distribution is relatively uniform when the wood enters the drying process. The drying control module retrieves the first and second pre-processing control symbols; if the values ​​of the first and second pre-processing control symbols are both 0, the overall drying process is executed, and the wood is dried as a whole through multiple air sources and heating sources, and fine-tuning of multiple heating sources and multiple air sources is performed based on the PID controller.

2. The furniture wood drying system based on intelligent manufacturing according to claim 1, characterized in that, It also includes a post-processing control module and an inspection module; The post-processing control module maintains the environmental parameters of the wood after the overall drying process, including temperature and wind speed, to prevent warping or cracking during the cooling process. The inspection module conducts comprehensive quality testing on the wood to ensure that it meets the usage standards. Quality inspection includes checking moisture content, dimensional changes, and surface quality; all inspection data and control parameters are recorded and archived, and production process reports and inspection reports are generated based on natural language processing.

3. The furniture wood drying system based on intelligent manufacturing according to claim 1, characterized in that, The specific process for moisture content characteristic testing is as follows: Wood moisture is measured using a resistance hygrometer. Two electrodes are placed at two adjacent detection points i1 and i2 in the wood, and the resistance value R(i1, i2) between the two detection points is measured; where i1∈i and i2∈i. Through formula Calculate the moisture content MC(i1, i2) of the wood between detection points i1 and i2; where The resistance reference value is L(i1, i2), the distance between detection points i1 and i2 is L(i1, i2), and the wood density is ρ. These are density reference values; where A1 and A2 are empirical coefficients; and K1 and K2 are influence indices. The uniformity of moisture content in wood is tested using a formula. Calculate the mean moisture content Moisture content uniformity index and moisture content continuity index ; The drying requirements of wood are determined based on the mean moisture content, moisture content uniformity index, and moisture content continuity index, and the parameters for surface moisture homogenization treatment and heating curve are set accordingly.

4. The furniture wood drying system based on intelligent manufacturing according to claim 3, characterized in that, The specific parameter settings for the humidity homogenization process and the heating curve are as follows: If the moisture content uniformity index Below the preset threshold And the moisture content continuity index Greater than the preset threshold If the wood is directly subjected to the high-temperature heating process, the second pre-processing executor PRO2=0 will be output. Otherwise, if the moisture content distribution of the wood is determined to be discontinuous and uneven, direct heating and drying will lead to cracks or warping. Therefore, surface moisture homogenization treatment is required before proceeding to the high-temperature heating process, outputting the second pre-processing executor PRO2=1; and, through the formula... The surface humidity homogenization treatment parameters were determined, including the pretreatment time Tpro and the pretreatment heating power Ppro, where γ1, γ2, and γ3 are preset influence indices, and K1, K2, and K3 are preset weighting factors; Tpro0 is the preset initial pretreatment time; where... , and These are the preset thresholds for the mean moisture content, the moisture content uniformity index, and the moisture content continuity index, respectively. Retrieve the preset heating curve function, that is, the relationship between heating time t and heating temperature T(t): Where α is the temperature change index; T0 is the initial temperature, Tfinal is the preset termination temperature; t1 is the preset temperature change time, and tfinal is the preset termination time. Let the initial temperature T0 and the average moisture content be... The relationship is: , where β is a preset influence factor.

5. A furniture wood drying system based on intelligent manufacturing according to claim 1, characterized in that, The specific process of appearance condition inspection is as follows: The coordinates (xi, yi, zi) of each detection point i in the XOY coordinate system are obtained using a laser rangefinder; the formula is then used to obtain the coordinates of each detection point i in the sensing coordinate system. Calculate the surface smoothness index ;in The average height of the surface. The standard deviation of surface height; when When it exceeds the preset threshold If the first preprocessor is set to PRO1, then PRO1 is set to 1; otherwise, PRO1 is set to 0.

6. A furniture wood drying system based on intelligent manufacturing according to claim 5, characterized in that, The specific process of appearance pretreatment is as follows: The wood is fed into the scraper, and the scraping blades scrape to a set depth. The wood surface is scraped, where q is an empirical coefficient and dmax is a preset standard scraping depth. This is the difference between the maximum surface height and the minimum surface height. Ensure that each scraping covers all uneven areas of the wood surface until a smooth surface is achieved. Less than or equal to the preset threshold Then exit the appearance preprocessing process and set the first preprocessing executor PRO1=0; otherwise, re-execute the appearance preprocessing process.

7. A furniture wood drying system based on intelligent manufacturing according to claim 4, characterized in that, The specific process of surface humidity homogenization treatment is as follows: Immerse the wood in a water bath or steam bath to introduce moisture into the wood, and control the temperature and humidity of the liquid or steam for hot soaking treatment; heat according to the pretreatment heating power Fpro for a duration of Tpro; after the hot soaking treatment is completed, slowly reduce the temperature of the wood to avoid stress caused by sudden temperature changes. After the wood temperature drops to the preset temperature, the moisture content uniformity is tested again to obtain the average moisture content. Moisture content uniformity index and moisture content continuity index When the following condition is met: Moisture content uniformity index Below the preset threshold And the moisture content continuity index Greater than the preset threshold If the condition is met, exit the surface humidity homogenization process and set the second preprocessing executor PRO2=0; otherwise, re-execute the surface humidity homogenization process.

8. A furniture wood drying system based on intelligent manufacturing according to claim 1, characterized in that, The PID controller specifically refers to: Retrieve the preset heating curve function, that is, the relationship between heating time t and heating temperature T(t): Where α is the temperature change index; T0 is the initial temperature, Tfinal is the preset termination temperature; t1 is the preset temperature change time, and tfinal is the preset termination time. The temperature Ti at each detection point i on the surface of the wood is recorded in real time using a temperature sensor during the drying process. Setting temperature difference function ; Through formula Output control quantity That is, the amount of air source control and heat source control quantity ;in This is the proportional influence coefficient; This is the integral influence coefficient; The differential influence coefficient; Through formula Output the power adjustment values ​​of each air source j1 and the power adjustment values ​​of each heating source j2 , where j1 is the air source number symbol; j2 is the heating source number symbol; d(i, j1) is the distance from detection point i to air source j1; d(i, j2) is the distance from detection point i to heating source j2.

9. A furniture wood drying system based on intelligent manufacturing according to claim 2, characterized in that, The specific process for maintaining the environmental parameters of wood after the overall drying process is as follows: Retrieve the preset cooling curve This ensures that the temperature difference between the wood surface and interior gradually decreases, avoiding residual stress and deformation within the wood; where Tmax is the highest surface temperature of the wood after the overall drying process, η is a preset cooling influence factor; and T0 is a preset regression temperature. The ambient temperature; While implementing temperature control via a cooling curve, a PID controller is invoked, and the temperature Ti at various detection points i on the wood surface during the drying process is recorded in real time using temperature sensors; a temperature difference function is set. ; through formula Output control quantity That is, the amount of air source control and heat source control quantity ;in This is the proportional influence coefficient; This is the integral influence coefficient; The differential influence coefficient; Through formula Output the power adjustment values ​​of each air source j1 and the power adjustment values ​​of each heating source j2 , where j1 is the air source number symbol; j2 is the heating source number symbol; d(i, j1) is the distance from detection point i to air source j1; d(i, j2) is the distance from detection point i to heating source j2.

10. A furniture wood drying system based on intelligent manufacturing according to claim 2, characterized in that, The specific process for checking moisture content, dimensional changes, and surface quality is as follows: Measure the resistance value R(i1, i2) of the wood between two detection points and calculate the maximum moisture content MCmax(i1, i2). Compare the dimensions of the wood with those before drying and calculate the dimensional changes that occurred during the drying process. Where Lfinal, Bfinal, and Hfinal are the final length, width, and thickness of the timber; Obtain the number of defects on the wood surface. ; through formula Calculate the surface defect coefficient DI; When MCmax(i1, i2) is less than the preset threshold, the moisture content is considered to be qualified. When △L, △B, and △H are all less than the preset threshold, the size change is deemed acceptable. When DI is less than the preset threshold, the surface quality is deemed acceptable.

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