Furniture wood drying system based on intelligent manufacturing

Abstract

The invention relates to the technical field of intelligent manufacturing, in particular to a furniture wood drying system based on intelligent manufacturing, which comprises a material analysis module, a pretreatment control module, a drying control module, a post-treatment control module and an inspection module, by detecting the humidity change of each part of the wood, it is ensured that the wood is uniformly heated in the drying process, and uneven drying, warping or cracking caused by humidity difference are avoided; temperature and wind speed parameters in the drying process are adjusted through a customized drying scheme, and the stability and quality of a final product are improved; parameters of all links such as pretreatment, drying and aftertreatment are automatically adjusted through intelligent control, manual intervention is reduced, and the production efficiency is improved; the heating power and the wind speed are adjusted in real time through the negative feedback PID controller, excessive heating and energy waste are reduced, the more energy-saving drying process is achieved, and therefore the production cost is reduced, and the energy efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent manufacturing, and in particular to a furniture wood drying system based on intelligent manufacturing. Background Art

[0002] Intelligent manufacturing technology refers to the use of intelligent technologies and equipment to deeply integrate advanced information technology, automation technology, artificial intelligence, big data, cloud computing, the Internet of Things, robotics, etc. with the manufacturing process, to enhance the intelligence, automation and digitalization of the manufacturing system, to achieve optimization of the production process, efficient use of resources and improvement of product quality.

[0003] The application of intelligent manufacturing in furniture wood drying systems can significantly improve production efficiency, wood drying quality and energy utilization. Sensors are used to collect real-time data on wood status, including humidity, temperature, moisture content, etc. These data are used to determine the drying status of wood and provide dynamic feedback. However, although intelligent manufacturing technology has significant advantages in wood drying systems, there are also 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. How to efficiently process, store and analyze these big data requires powerful computing power and an efficient data management system.

[0004] Secondly, the wood drying system usually involves multiple devices and control modules, such as heating sources, humidity control devices, fans, etc. How to ensure the coordination between different devices and smooth information transmission is still a technical challenge.

[0005] In view of the above problems, it is necessary to propose a furniture wood drying system based on intelligent manufacturing. Summary of the invention

[0006] The purpose of the present invention is to solve the problems existing in the background technology and to propose a furniture wood drying system based on intelligent manufacturing.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

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

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

[0010] Get the geometric dimension information of the wood, including side length L, width B and thickness H.

[0011] Arrange several detection points on the wood surface and number them, with the number symbol i; i = 1, 2, 3, ..., n; where n is the total number of detection points. Take 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 to establish the three-dimensional perception coordinate system XOY of the wood.

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

[0013] By formula

[0014] Calculate the moisture content of the wood between the test points i1 and i2, MC(i1, i2). R0 is the resistance reference value; L(i1, i2) is the distance between the test points i1 and i2, ρ is the wood density, and ρ0 is the density reference value. A1 and A2 are empirical coefficients; K1 and K2 are influence indexes.

[0015] The uniformity of the moisture content of wood is tested by the formula Calculate the mean moisture content μ MC , moisture content uniformity index σ MC and moisture content continuity index U MC .

[0016] As a preferred embodiment of the present invention, the drying requirements of the wood are judged according to the moisture content mean, moisture content uniformity index and moisture content continuity index, including parameter settings of surface moisture uniformization treatment and heating curve parameter settings;

[0017] The parameters of the humidity uniformity treatment are specifically set as follows:

[0018] If the moisture content uniformity index σ MC Below the preset threshold And the moisture content continuity index U MC Greater than the preset threshold It is determined that the wood directly enters the high-temperature heating process, and the first pre-processing execution symbol PRO1=0 is output;

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

[0020] And, through the formula Determine the surface humidity homogenization processing parameters including pre-processing time Tpro and pre-processing heating power Ppro. Among them, γ1, γ2 and γ3 are preset influence indexes, K1, K2 and K3 are preset weight factors; Tpro0 is the preset initial pre-processing time; and They are the preset thresholds for the mean moisture content, moisture content uniformity index and moisture content continuity index respectively.

[0021] The heating curve parameter settings are specifically as follows:

[0022] Retrieve the preset heating curve function, that is, the relationship between heating time t and heating temperature T: Where α is the temperature change index; T0 is the initial temperature, Tfinal is the preset end temperature; Where t1 is the preset temperature change time, tfinal is the preset end time.

[0023] Let the initial temperature T0 and the mean water content μ MC The relationship is: Where β is the preset impact factor.

[0024] On the other hand, the coordinates (xi, yi, zi) of each detection point i in the XOY of the perception coordinate system are obtained by the laser rangefinder. Calculate the surface roughness index PI Z .in is the average surface height, σ Z is the standard deviation of the surface height.

[0025] When PI Z When it is greater than the preset threshold Set the second pre-processing execution symbol PRO2=1; otherwise, set the second pre-processing execution symbol PRO2=0.

[0026] The pre-treatment control module performs appearance pretreatment and surface moisture homogenization on the wood. The surface flatness detection and scraping process ensure that the wood surface is flat. The surface moisture homogenization process ensures that the moisture distribution of the wood is relatively uniform when it enters the drying process, reduces defects such as warping and cracks generated during the drying process, and provides stable initial conditions for subsequent drying. The specific process is as follows:

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

[0028] The appearance pretreatment is specifically as follows: the wood is fed into a scraper, and the scraping tool scrapes the wood according to a set depth d. scrape =min{q×PIz , dmax, |zmax-zmin|} are used to scrape the wood surface, where q is the empirical coefficient, dmax is the preset standard scraping depth, and |zmax-zmin| is the difference between the maximum surface height and the minimum surface height. Ensure that all uneven areas on the wood surface are covered each time until the flatness requirement is met, i.e., PI Z Less than or equal to the preset threshold Then exit the appearance preprocessing process and set the first preprocessing execution symbol PRO1 = 0. Otherwise, re-execute the appearance preprocessing process.

[0029] The surface humidity homogenization treatment is specifically as follows: immerse the wood in a water bath or steam tank, introduce moisture into the wood, and control the temperature and humidity of the liquid or steam for hot soaking treatment. Heat according to the pre-treatment heating power Fpro for a duration of Tpro. After the hot soaking treatment is completed, the temperature of the wood is slowly lowered to avoid stress caused by sudden temperature changes. After the temperature of the wood is lowered to the preset temperature, the moisture content uniformity test is performed again to obtain the moisture content mean μ MC , moisture content uniformity index σ MC and moisture content continuity index U MC When the conditions are met: moisture content uniformity index σ MC Below the preset threshold And the moisture content continuity index U MC Greater than the preset threshold When , the surface humidity uniformity processing flow is exited, and the second pre-processing execution symbol PRO2 is set to 0. Otherwise, the surface humidity uniformity processing flow is re-executed.

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

[0031] The overall drying process is specifically as follows:

[0032] The wood is dried as a whole through multiple wind sources and heating sources, and fine-tuning of multiple heating sources and wind sources is performed based on the PID controller to ensure that the drying temperature remains within the optimal range and avoid over-drying or uneven drying.

[0033] The PID controller is specifically:

[0034] Retrieve the heating curve function:

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

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

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

[0038] By formula Output the power adjustment value ΔP of each wind source j1 wind Power adjustment value ΔP of j1 and each heating source j2 warm j2, where j1 is the wind source number symbol; j2 is the heating source number symbol; d(i, j1) is the distance from the detection point i to the wind source j1; d(i, j2) is the distance from the detection point i to the 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 wood surface and the interior is gradually reduced to avoid residual stress and deformation inside the wood. Tmax is the highest temperature of the wood surface after the overall drying process, η is the preset cooling factor; T0 is the preset regression temperature, T environment is the ambient temperature.

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

[0043] The inspection module conducts a comprehensive quality inspection on the wood to ensure that it meets the use standards. The quality inspection includes moisture content, dimensional changes and surface quality inspection 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] Compare the dimensions of the wood before drying to calculate the dimensional changes that occur during the drying process Where Lfinal, Bfinal and Hfinal are the final length, width and thickness of the wood.

[0046] As a preferred method of the present invention, the number of defect points N on the wood surface is obtained. defects By formula Calculate the surface defect coefficient DI.

[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 judged to be qualified.

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

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] 1. The present invention detects humidity changes in various parts of the wood through multiple detection points and resistance hygrometers arranged in the material analysis module, ensuring that the wood is evenly heated during the drying process to avoid uneven drying, warping or cracking caused by humidity differences; the temperature and wind speed parameters during the drying process are adjusted through a customized drying plan to ensure that each piece of wood can be dried under the most suitable conditions, thereby improving the stability and quality of the final product;

[0053] 2. The present invention automatically adjusts the parameters of each link such as pre-treatment, drying, and post-treatment through intelligent control, reduces manual intervention, and improves production efficiency; the heating power and wind speed are adjusted in real time through the negative feedback PID controller, which reduces overheating and energy waste, and realizes a more energy-saving drying process, thereby reducing production costs and improving energy efficiency;

[0054] 3. The present invention can monitor the drying quality of wood in real time through quality inspection of the inspection module, combined with moisture content, dimensional change and surface quality inspection. Any deviation can be quickly discovered and adjusted; all test 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 later product traceability and technical improvement. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings:

[0056] Figure 1 is a system block diagram of the present invention; DETAILED DESCRIPTION

[0057] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] See also Figure 1 As shown, a furniture wood drying system based on intelligent manufacturing includes a material analysis module, a pre-processing control module, a drying control module, a post-processing control module and an inspection module.

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

[0060] Get the geometric dimension information of the wood, including side length L, width B and thickness H.

[0061] Arrange several detection points on the wood surface and number them, with the number symbol i; i = 1, 2, 3, ..., n; where n is the total number of detection points. Take 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 to establish the three-dimensional perception coordinate system XOY of the wood.

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

[0063] By formula

[0064] Calculate the moisture content of the wood between the test points i1 and i2, MC(i1, i2). R0 is the resistance reference value; L(i1, i2) is the distance between the test points i1 and i2, ρ is the wood density, and ρ0 is the density reference value. A1 and A2 are empirical coefficients; K1 and K2 are influence indexes.

[0065] The uniformity of the moisture content of wood is tested by the formula Calculate the mean moisture content μ MC , moisture content uniformity index σ MC and moisture content continuity index U MC .

[0066] Further, the drying requirements of the wood are determined according to the moisture content mean, moisture content uniformity index and moisture content continuity index, including parameter settings for surface moisture uniformization treatment and heating curve parameter settings;

[0067] The parameters of the humidity uniformity treatment are specifically set as follows:

[0068] If the moisture content uniformity index σ MC Below the preset threshold And the moisture content continuity index U MC Greater than the preset threshold It is determined that the wood directly enters the high-temperature heating process, and the first pre-processing execution symbol PRO1=0 is output;

[0069] Otherwise, it is determined that the moisture content of the wood is discontinuous and uneven, and direct heating and drying will cause cracks or warping. It is necessary to first perform surface moisture uniformity treatment before entering the high-temperature heating process, and output the first pre-processing execution symbol PRO1 = 1. And, through the formula Determine the surface humidity homogenization processing parameters including pre-processing time Tpro and pre-processing heating power Ppro. Among them, γ1, γ2 and γ3 are preset influence indexes, K1, K2 and K3 are preset weight factors; Tpro0 is the preset initial pre-processing time; and They are the preset thresholds for the mean moisture content, moisture content uniformity index and moisture content continuity index respectively.

[0070] The heating curve parameter settings are specifically as follows:

[0071] Retrieve the preset heating curve function, that is, the relationship between heating time t and heating temperature T: Where α is the temperature change index; T0 is the initial temperature, Tfinal is the preset end temperature; Where t1 is the preset temperature change time, tfinal is the preset end time.

[0072] Let the initial temperature T0 and the mean water content μ MC The relationship is: Where β is the preset impact factor.

[0073] On the other hand, the coordinates (xi, yi, zi) of each detection point i in the XOY of the perception coordinate system are obtained by the laser rangefinder. Calculate the surface roughness index PI Z .in is the average surface height, σ Z is the standard deviation of the surface height.

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

[0075] The pre-treatment control module performs appearance pretreatment and surface moisture homogenization on the wood. The surface flatness detection and scraping process ensure that the wood surface is flat. The surface moisture homogenization process ensures that the moisture distribution of the wood is relatively uniform when it enters the drying process, reduces defects such as warping and cracks generated during the drying process, and provides stable initial conditions for subsequent drying. The specific process is as follows:

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

[0077] The appearance pretreatment is specifically as follows: the wood is fed into a scraper, and the scraping tool scrapes the wood according to a set depth d. scrape =min{q×PI z , dmax, |zmax-zmin|} are used to scrape the wood surface, where q is the empirical coefficient, dmax is the preset standard scraping depth, and |zmax-zmin| is the difference between the maximum surface height and the minimum surface height. Ensure that all uneven areas on the wood surface are covered each time until the flatness requirement is met, i.e., PI Z Less than or equal to the preset threshold Then exit the appearance preprocessing process and set the first preprocessing execution symbol PRO1 = 0. Otherwise, re-execute the appearance preprocessing process.

[0078] It should be noted that there may be irregular or protruding parts on the wood surface, which will affect the uniformity of heat transfer of the wood as a whole during the drying process. Therefore, it is necessary to make the wood surface flat by mechanical scraping or trimming to reduce the internal humidity difference caused by uneven heat transfer of the wood.

[0079] The surface humidity homogenization treatment is specifically as follows: immerse the wood in a water bath or steam tank, introduce moisture into the wood, and control the temperature and humidity of the liquid or steam for hot soaking treatment. Heat according to the pre-treatment heating power Fpro for a duration of Tpro. After the hot soaking treatment is completed, the temperature of the wood is slowly lowered to avoid stress caused by sudden temperature changes. After the temperature of the wood is lowered to the preset temperature, the moisture content uniformity test is performed again to obtain the moisture content mean μ MC , moisture content uniformity index σ MC and moisture content continuity index U MC When the conditions are met: moisture content uniformity index σ MC Below the preset threshold And the moisture content continuity index U MC Greater than the preset threshold When , the surface humidity uniformity processing flow is exited, and the second pre-processing execution symbol PRO2 is set to 0. Otherwise, the surface humidity uniformity processing flow is re-executed.

[0080] The drying control module calls the first pre-processing execution code PRO1 and the second pre-processing execution code PRO2. If PRO1=0 and PRO2=0, the whole drying process is executed.

[0081] The overall drying process is specifically as follows:

[0082] The wood is dried as a whole through multiple wind sources and heating sources, and fine-tuning of multiple heating sources and wind sources is performed based on the PID controller to ensure that the drying temperature remains within the optimal range and avoid over-drying or uneven drying.

[0083] The PID controller is specifically:

[0084] Retrieve the heating curve function:

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

[0086] The temperature difference function is set to e(t)=T(t)-Ti(t).

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

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

[0091] Retrieve the preset cooling curve Ensure that the temperature difference between the wood surface and the interior is gradually reduced to avoid residual stress and deformation inside the wood. Tmax is the highest temperature of the wood surface after the overall drying process, η is the preset cooling factor; T0 is the preset regression temperature, T environment is the ambient temperature.

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

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

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

[0095] 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.

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

[0097] Furthermore, the number of defect points N on the wood surface is obtained. defects By formula Calculate the surface defect coefficient DI.

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

[0099] When ΔL, ΔB and ΔH are all less than the preset threshold, the size change is determined to be qualified;

[0100] When DI is less than the preset threshold, the surface quality is judged to be qualified.

[0101] Furthermore, all test 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 “include” and “comprising” used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0103] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and the claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and the claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations;

[0104] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention 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 pre-processing control module and a drying control module, characterized in that: The material analysis module collects the physical and chemical properties of wood through sensors, including moisture content characteristics and appearance conditions, and determines the drying requirements of wood; obtains the geometric size information of wood, including side length L, width B and thickness H; arranges a number of detection points on the surface of wood, and numbers the detection points, the number symbol is i; i = 1, 2, 3, ..., n; where n is the total number of detection points; establishes a three-dimensional perception coordinate system XOY of wood with the corner point of wood as the origin, the direction of side length H as the X-axis, and the direction of width B as the Y-axis; performs moisture content characteristic detection and appearance condition detection; outputs the first pre-processing control symbol and the second pre-processing control symbol according to the detection results; The pre-processing control module calls the first and second pre-processing control symbols. If the first pre-processing control symbol is equal to 1, the appearance pre-processing is performed to ensure that the surface of the wood is flat; if the second pre-processing control symbol is equal to 1, moisture is introduced into the wood through surface moisture uniformization treatment, and the temperature and humidity of the liquid or steam are controlled to perform hot soaking treatment to ensure that the moisture distribution of the wood is relatively uniform when it enters the drying process; The drying control module calls 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, the wood is dried as a whole through multiple wind sources and heating sources, and multiple heating source fine-tuning and multiple wind source fine-tuning are performed based on the PID controller.

2. According to the intelligent manufacturing-based furniture wood drying system of claim 1, it is characterized in that: 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 inspections on wood to ensure that it meets the usage standards; quality inspections include moisture content, dimensional changes, and surface quality checks; 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. According to the intelligent manufacturing-based furniture wood drying system of claim 1, it is characterized in that: The specific process of moisture content characteristic detection is: The wood humidity is measured by a resistance hygrometer, where two electrodes are placed at two adjacent detection points i1 and i2 in the wood, and the resistance value R(i1, i2) of the wood between the two detection points is measured; where i1∈i and i2∈i; By formula The moisture content of the wood between the test points i1 and i2 is MC(i1, i2); R0 is the resistance reference value; L(i1, i2) is the distance between the test points i1 and i2, ρ is the wood density, ρ0 is the density reference value; A1 and A2 are empirical coefficients; K1 and K2 are influence indexes; The uniformity of the moisture content of wood is tested by the formula Calculate the mean moisture content μ MC , moisture content uniformity index σ MC and moisture content continuity index U MC ; The drying requirements of wood are determined according to the mean moisture content, moisture uniformity index and moisture continuity index, including the parameter settings of surface moisture uniformization treatment and heating curve parameter settings.

4. The furniture wood drying system based on intelligent manufacturing according to claim 3 is characterized in that: The parameter settings of the humidity uniformity treatment and the heating curve parameter settings are specifically as follows: If the moisture content uniformity index σ MC Below the preset threshold And the moisture content continuity index U MC Greater than the preset threshold It is determined that the wood directly enters the high-temperature heating process, and the first pre-processing execution symbol PRO1=0 is output; Otherwise, it is determined that the moisture content of the wood is discontinuous and uneven, and direct heating and drying will cause cracks or warping. It is necessary to first perform surface moisture uniformity treatment before entering the high-temperature heating process, and output the first pre-processing execution symbol PRO1 = 1; and, through the formula Determine the surface humidity homogenization processing parameters including pre-processing time Tpro and pre-processing heating power Ppro; where γ1, γ2 and γ3 are preset influence indexes, K1, K2 and K3 are preset weight factors; Tpro0 is the preset initial pre-processing time; where and They are the preset thresholds for the mean moisture content, moisture content uniformity index, and moisture content continuity index respectively; Retrieve the preset heating curve function, that is, the relationship between heating time t and heating temperature T: Where α is the temperature change index; T0 is the initial temperature, Tfinal is the preset end temperature; where t1 is the preset temperature change time, tfinal is the preset end time; Let the initial temperature T0 and the mean water content μ MC The relationship is: Where β is the preset impact factor.

5. The furniture wood drying system based on intelligent manufacturing according to claim 1 is characterized in that: The specific process of appearance condition detection is as follows: The coordinates (xi, yi, zi) of each detection point i in the XOY of the perception coordinate system are obtained by the laser rangefinder; the formula Calculate the surface roughness index PI Z ;in is the average surface height, σ Z is the standard deviation of surface height; When PI Z When it is greater than the preset threshold Set the second pre-processing execution symbol PRO2=1; otherwise, set the second pre-processing execution symbol PRO2=0.

6. The furniture wood drying system based on intelligent manufacturing according to claim 1 is characterized in that: The specific process of appearance pretreatment is: The wood is fed into the scraper and the scraper cuts the wood to a set depth d. scrape =min{q×PI z , dmax, |zmax-zmin|} are used to scrape the wood surface, where q is the empirical coefficient, dmax is the preset standard scraping depth, and |zmax-zmin| is the difference between the maximum surface height and the minimum surface height; Make sure to scrape all uneven areas on the wood surface each time until the flatness requirement is reached, i.e. PI Z Less than or equal to the preset threshold Then exit the appearance preprocessing process and set the first preprocessing execution symbol PRO1 = 0; Otherwise, re-execute the appearance preprocessing process.

7. The furniture wood drying system based on intelligent manufacturing according to claim 1 is characterized in that: The specific process of surface humidity uniformity treatment is: Immerse the wood in a water bath or steam tank, introduce moisture into the wood, and control the temperature and humidity of the liquid or steam for hot dip treatment; heat according to the pre-treatment heating power Fpro for a duration of Tpro; slowly lower the temperature of the wood after the hot dip treatment to avoid stress caused by sudden temperature changes; after the temperature of the wood drops to the preset temperature, perform a moisture content uniformity test again to obtain the moisture content mean μ MC , moisture content uniformity index σ MC and moisture content continuity index U MC ; When the conditions are met: moisture content uniformity index σ MC Below the preset threshold And the moisture content continuity index U MC Greater than the preset threshold , exit the surface humidity uniformity processing flow, and set the second pre-processing execution symbol PRO2 = 0; otherwise, re-execute the surface humidity uniformity processing flow.

8. The furniture wood drying system based on intelligent manufacturing according to claim 1 is characterized in that: The PID controller is specifically: Retrieve the heating curve function: The temperature Ti of each detection point i on the wood surface during the drying process is recorded in real time by a temperature sensor; Set the temperature difference function e(t)=T(t)-Ti(t); By formula Output control quantity ui 1,2 (t), namely, the wind source control quantity ui1(t) and the heat source control quantity ui2(t); is the proportional influence coefficient; is the integral influence coefficient; is the differential influence coefficient; By formula Output the power adjustment value ΔP of each wind source j1 wind Power adjustment value ΔP of j1 and each heating source j2 warm j2, where j1 is the wind source number symbol; j2 is the heating source number symbol; d(i, j1) is the distance from the detection point i to the wind source j1; d(i, j2) is the distance from the detection point i to the heating source j2.

9. The furniture wood drying system based on intelligent manufacturing according to claim 2, characterized in that: The specific process of maintaining the environmental parameters of wood after the overall drying process is: Retrieve the preset cooling curve Ensure that the temperature difference between the wood surface and the interior is gradually reduced to avoid residual stress and deformation inside the wood; Tmax is the highest temperature of the wood surface after the overall drying process, η is the preset cooling factor; T0 is the preset regression temperature, T environment is the ambient temperature; While executing temperature control through the cooling curve, the PID controller is called up, and the temperature Ti of each detection point i on the wood surface during the drying process is recorded in real time through the temperature sensor; the temperature difference function f(t) = T^(t)-Ti(t) is set; through the formula Output control quantity ui 1,2 (t), namely, the wind source control quantity ui1(t) and the heat source control quantity ui2(t); through the formula Output the power adjustment value ΔP of each wind source j1 wind Power adjustment value ΔP of j1 and each heating source j2 warm j2, where j1 is the wind source number symbol; j2 is the heating source number symbol; d(i, j1) is the distance from the detection point i to the wind source j1; d(i, j2) is the distance from the detection point i to the heating source j2.

10. The furniture wood drying system based on intelligent manufacturing according to claim 2, characterized in that: The specific process of moisture content, dimensional change and surface quality inspection is as follows: Measure the resistance value R(i1, i2) of the wood between two test points and calculate the maximum moisture content MCmax(i1, i2); Compare the dimensions of the wood before drying to calculate the dimensional changes that occur during the drying process Where Lfinal, Bfinal and Hfinal are the final length, width and thickness of the wood; Get the number of defect points N on the wood surface defects ; Through the formula Calculate the surface defect coefficient DI; When MCmax(i1, i2) is less than the preset threshold, the moisture content is determined to be qualified; When ΔL, ΔB and ΔH are all less than the preset threshold, the size change is determined to be qualified; When DI is less than the preset threshold, the surface quality is judged to be qualified.

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