Wood humidity control method and device

Abstract

The invention discloses a wood humidity control method and device, and relates to the technical field of furniture manufacturing, and the method comprises the steps: obtaining the size of a wood maintenance area, constructing a basic model, determining the grid resolution according to the size and preset precision, and generating a grid model; thirdly, calculating the humidity of each grid point by means of data collected by a humidity monitoring sensor and combining the distance between the sensor and the grid point, drawing a humidity distribution map, and mastering the regional humidity distribution according to the humidity distribution map; once the humidity of a part of areas is abnormal, control parameters of the corresponding air outlets are adjusted according to the position information of the areas. The problem that a wood humidity control method in the prior art is inaccurate is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of furniture manufacturing, and particularly relates to a method and device for controlling the humidity of wood. Background Art

[0002] As the core raw material for furniture manufacturing, the quality of wood directly determines the quality and service life of furniture. During the furniture manufacturing process, wood conditioning is an essential key link. A suitable humidity environment can prevent problems such as cracking and deformation of wood during subsequent processing and use, and significantly improve the stability and durability of furniture. Therefore, accurately controlling the humidity of wood is of great significance for ensuring furniture quality and reducing production costs.

[0003] Currently, during the wood conditioning process, humidity detection and control mostly rely on a single sensor. The local humidity data obtained by such sensors in the wood conditioning area is only the humidity data at the corresponding position where the sensor is arranged. Due to factors such as the stacking method of wood and uneven distribution of environmental airflows, the humidity distribution is difficult to remain uniform. When the humidity at the position of the sensor is normal, but the humidity in other areas is too high or too low, the control system may not be able to respond in a timely manner, resulting in quality problems for some wood due to inappropriate humidity. Therefore, the current wood humidity control method has the problem of inaccuracy. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method and device for controlling the humidity of wood, aiming to solve the problem of inaccuracy in the existing wood humidity control method.

[0005] On the one hand, the present invention proposes a method for controlling the humidity of wood, which is used to control the humidity of wood placed in a wood conditioning area. Air outlets for conveying airflows for adjusting the humidity of the wood conditioning area are evenly distributed around the wood conditioning area. Humidity monitoring sensors for monitoring humidity are evenly arranged at different horizontal heights in the wood conditioning area. The method includes: Obtain the size parameters of the wood conditioning area, and obtain the basic model of the wood conditioning area according to the size parameters of the wood conditioning area; Determine the grid resolution according to the size parameters of the wood conditioning area and the preset accuracy, and generate corresponding grid points in the basic model according to the grid resolution to obtain the grid model of the wood conditioning area; Obtain the humidity data collected by the humidity monitoring sensors, calculate the humidity data of each grid point according to the distance information between the humidity monitoring sensors and the grid points and the humidity data collected by the humidity monitoring sensors, and assign the humidity data to the corresponding grid points to obtain the humidity distribution map of the wood conditioning area; Determine the humidity distribution in the wood curing area according to the humidity distribution map, and when the humidity in one of the partial areas in the humidity distribution map is abnormal, adjust the control parameters of the air outlet corresponding to the position according to the position information of the partial area.

[0006] Further, in the above wood humidity control method, the step of obtaining the humidity data collected by the humidity monitoring sensor and calculating the humidity data of each grid point according to the distance information between the humidity monitoring sensor and the grid point and the humidity data collected by the humidity monitoring sensor includes: Set a search radius for each grid point, and find the corresponding humidity monitoring sensor within the search radius; Calculate the distance from each grid point to the humidity monitoring sensor within the corresponding search radius, and determine their respective weights according to the reciprocal of the distance; According to the respective weights of the humidity monitoring sensors, perform weighted averaging on the monitored humidity values to obtain the humidity data of each grid point.

[0007] Further, in the above wood humidity control method, the calculation formula for the humidity data of each grid point is:

[0008] Where, Z i is the humidity value of the i th humidity monitoring sensor, n is the number of humidity monitoring sensors within the search radius, w i is the i th weight of the humidity monitoring sensor.

[0009] Further, in the above wood humidity control method, after the step of determining the grid resolution according to the size parameters of the wood curing area and the preset accuracy, it further includes: Respectively obtain the humidity data collected by the humidity monitoring sensors, and determine the humidity difference area with different humidity according to the humidity data and the position information of the humidity monitoring sensors; Adjust the grid resolution of the grid points in the humidity difference area according to the humidity difference in the humidity difference area.

[0010] Further, in the above wood humidity control method, the step of determining the humidity difference area with different humidity according to the humidity data and the position information of the humidity monitoring sensors includes: Obtain the humidity data collected by all humidity monitoring sensors, and determine the target humidity data closest to the preset humidity threshold from them; Calculate the absolute difference between the humidity data collected by other humidity monitoring sensors and the target humidity data, so as to select the target humidity monitoring sensors whose collected humidity data is different from the target humidity data from the humidity monitoring sensors; Determine the humidity difference area where the humidity is different according to the position information of the target humidity monitoring sensor.

[0011] Further, in the above wood humidity control method, the step of determining the humidity difference area where the humidity is different according to the position information of the target humidity monitoring sensor includes: When the number of target humidity detection sensors is one, the area within the preset range of the target humidity detection sensor is used as the humidity difference area; When the number of target humidity detection sensors is multiple, cluster the adjacent target humidity monitoring sensors to form a sensor cluster, obtain the outermost humidity detection sensors in the sensor cluster, and use the area enclosed by the line segments extending outward from the outermost detection sensors respectively as the humidity difference area.

[0012] Further, in the above wood humidity control method, the humidity monitoring sensors are arranged in layers at different horizontal heights. Within the same height layer, the humidity monitoring sensors are evenly distributed at equal intervals, and the humidity monitoring sensors between different height layers are staggered from each other.

[0013] Another object of the present invention is to provide a wood humidity control device for controlling the humidity of wood placed in a wood curing area. Air outlets covering the wood curing area are evenly arranged around the wood curing area, and the air outlets are used to convey airflows for adjusting the humidity of the wood curing area. Humidity monitoring sensors for monitoring humidity are evenly arranged at different horizontal heights in the wood curing area. The device includes: An acquisition module, configured to acquire the size parameters of the wood curing area, and obtain the basic model of the wood curing area according to the size parameters of the wood curing area; A generation module, configured to determine the grid resolution according to the size parameters of the wood curing area and the preset accuracy, and generate corresponding grid points in the basic model according to the grid resolution to obtain the grid model of the wood curing area; A calculation module, configured to acquire the humidity data collected by the humidity monitoring sensors, calculate the humidity data of each grid point according to the distance information between the humidity monitoring sensors and the grid points and the humidity data collected by the humidity monitoring sensors, and assign the humidity data to the corresponding grid points to obtain the humidity distribution map of the wood curing area; A control module, configured to determine the humidity distribution in the wood curing area according to the humidity distribution map, and when the humidity in one of the partial areas in the humidity distribution map is abnormal, adjust the control parameters of the air outlet corresponding to the position according to the position information of the partial area.

[0014] Another object of the present invention is to provide a readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented.

[0015] Another object of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored on the memory and running on the processor, and when the processor executes the program, the steps of the above method are implemented.

[0016] In the present invention, air outlets covering the wood curing area are evenly distributed around the wood curing area, and humidity monitoring sensors for monitoring humidity are evenly distributed at different horizontal heights in the wood curing area. The size parameters of the wood curing area are obtained, a basic model and a grid model are constructed, and a plurality of grid points are set in the area. Compared with the traditional single-sensor detection, with the help of grid points, the wood curing area is finely divided. Each grid point can calculate its own humidity data based on the data collected by multiple humidity monitoring sensors and combined with the distance information, so as to generate a humidity distribution map. This method breaks the limitation of the detection range of a single sensor, captures the humidity changes in the area comprehensively, greatly improves the accuracy and comprehensiveness of humidity detection. According to the humidity distribution map, the system can grasp the humidity distribution in the wood curing area in real time. Once the humidity in a partial area is abnormal, the system can quickly locate the position information of the abnormal area and adjust the control parameters of the corresponding air outlet accordingly. It realizes the rapid response and precise regulation of humidity abnormality. It solves the problem of inaccuracy in the existing wood humidity control methods. Description of the Drawings

[0017] Figure 1 It is a flowchart of the wood humidity control method in the first embodiment of the present invention; Figure 2 It is a structural block diagram of the wood humidity control device in the third embodiment of the present invention.

[0018] The following specific embodiments will further illustrate the present invention in conjunction with the above drawings. Specific Embodiments

[0019] To facilitate the understanding of the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0020] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there can also be an intermediate element. When an element is considered to be "connected" to another element, it can be directly connected to the other element or there may be an intermediate element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this invention belongs. The terms used herein in the specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0022] Embodiment 1 Please refer to Figure 1 , which shows the wood humidity control method in the first embodiment of the present invention, used to control the humidity of the wood placed in the wood curing area. The air outlets covering the wood curing area are evenly distributed around the wood curing area. The air outlets are used to convey the air flow for adjusting the humidity of the wood curing area. Humidity monitoring sensors for monitoring humidity are evenly arranged at different horizontal heights in the wood curing area. The method includes steps S10 to S13.

[0023] Step S10, obtain the size parameters of the wood curing area, and obtain the basic model of the wood curing area according to the size parameters of the wood curing area.

[0024] Among them, in order to effectively regulate the humidity of the wood curing area, a specific design is adopted in the infrastructure layout. Around the wood curing area, air outlets are arranged in a ring. The air outlets are connected to the corresponding humidity adjustment devices. These air outlets are evenly distributed along the perimeter, and their coverage range can fully cover the entire wood curing area. When the humidity in the wood curing area needs to be adjusted, the air outlets will convey the corresponding air flow, and these air flows have the characteristic of changing the humidity of the area, thereby realizing the adjustment of the humidity of the wood curing environment. In specific implementation, strip-shaped air outlets can be installed on the walls of the wood curing area along the horizontal or vertical direction; or a multi-point linear arrangement can be adopted, and multiple small square or circular air outlets are arranged at equal intervals in a straight line to cover the entire curing area; or a grid-shaped air outlet layout can be constructed. Multiple air outlets are arranged in a matrix form to cover the entire curing area; or air outlets are installed at the four corners and the midpoints of each side of the wood curing area. Each air outlet conveys air flow from different directions to the center of the area, covering the entire curing area. In addition, in order to accurately obtain the humidity data at different positions in the wood curing area, humidity monitoring sensors are installed at different horizontal heights within the area. These sensors are arranged in layers at different horizontal heights. Within the same height layer, the humidity monitoring sensors are evenly distributed at equal intervals, and the humidity monitoring sensors between different height layers are staggered from each other, aiming to comprehensively monitor the humidity changes in the wood curing area.

[0025] Furthermore, in the early stage of precisely controlling the humidity in the wood curing area, it is first necessary to obtain detailed dimensional parameters of the wood curing area. Professional measuring tools can be used to accurately measure the length, width, and height of the wood curing area. Generally, the wood curing area is a regular cuboid space. With the help of tools such as laser rangefinders and tape measures, it is easy to obtain its length, width, and height data. After obtaining the dimensional parameters, computer-aided design software or professional modeling tools can be used to build a basic model of the wood curing area in a virtual environment based on these accurate dimensional data. This basic model is a digital reproduction of the real space of the wood curing area, not only fully presenting the shape and size of the area, but also having the same scale as the actual space, providing a basic framework for subsequent operations such as grid division and simulation analysis.

[0026] Step S11, determine the grid resolution according to the dimensional parameters and preset accuracy of the wood curing area, and generate corresponding grid points in the basic model according to the grid resolution to obtain the grid model of the wood curing area; Among them, after the basic model of the wood curing area is built, the next key step is to determine the grid resolution according to the dimensional parameters and preset accuracy of the wood curing area, and construct the grid model of the wood curing area. Specifically, the preset accuracy is determined by the actual requirements of wood humidity control. If the wood is extremely sensitive to humidity changes or fine control of the humidity within the area is required, a higher preset accuracy is required; conversely, when the requirement for humidity control accuracy is relatively low, the preset accuracy can be appropriately reduced. The specific value of the preset accuracy can be obtained based on actual experience values or big data analysis, which is not limited here. After obtaining the dimensional parameters and preset accuracy of the wood curing area, the appropriate grid resolution can be calculated. After determining the grid resolution, based on the already built basic model, corresponding grid points will be generated in the basic model according to the established grid resolution. These grid points are evenly distributed in the virtual space of the entire wood curing area. By connecting these grid points, a grid covering the entire wood curing area can be formed, and then the grid model of the wood curing area can be constructed. It should be noted that the grid model of the wood conditioning area discretizes the originally continuous space, providing great convenience for the accurate acquisition and analysis of subsequent humidity data. In some alternative embodiments of the present invention, based on the grid model, a unique identifier can also be assigned to each grid point, facilitating the independent acquisition, analysis, and management of the humidity data of each grid point during the humidity detection and regulation process. This enables the system to more accurately monitor and analyze the humidity distribution in the wood conditioning area, providing data support for the accurate regulation of humidity and greatly improving the efficiency and accuracy of wood humidity control.

[0027] Step S12: Obtain the humidity data collected by the humidity monitoring sensors, calculate the humidity data of each grid point based on the distance information between the humidity monitoring sensors and the grid points and the humidity data collected by the humidity monitoring sensors, and assign the humidity data to the corresponding grid points to obtain the humidity distribution map of the wood conditioning area.

[0028] Among them, after the grid model of the wood conditioning area is built, a humidity distribution map that can intuitively reflect the humidity distribution in the area is constructed. First, it is necessary to obtain the humidity data collected in real time by the humidity monitoring sensors arranged in the wood conditioning area. These sensors are evenly distributed at different heights and positions to capture the humidity information in every corner of the wood conditioning area. Next, with the help of the pre-recorded position information of the sensors and the grid model, determine the distance information between the humidity monitoring sensors and each grid point. Then calculate the humidity data of each grid point based on the distance information and the humidity data, and assign the humidity data calculated for each grid point according to the algorithm to the corresponding grid point. After assigning the humidity data to all grid points in the wood conditioning area, visualize these grid points with humidity data, and then generate the humidity distribution map of the wood conditioning area. This humidity distribution map can clearly and intuitively display the spatial distribution of humidity in the wood conditioning area. With the help of this map, the humidity abnormal area can be quickly located and corresponding regulation measures can be taken in a timely manner, so as to achieve the refined management of the humidity in the wood conditioning area.

[0029] Exemplarily, in some alternative embodiments of the present invention, the step of obtaining the humidity data collected by the humidity monitoring sensors and calculating the humidity data of each grid point based on the distance information between the humidity monitoring sensors and the grid points and the humidity data collected by the humidity monitoring sensors includes: Set a search radius for each grid point, and find the corresponding humidity monitoring sensors within the search radius; Calculate the distance from each grid point to the humidity monitoring sensors within the corresponding search radius, and determine their respective weights according to the reciprocal of the distance; According to the respective weights of the humidity monitoring sensors, the humidity values monitored by them are weighted and averaged to obtain the humidity data of each grid point.

[0030] Among them, the inverse distance weighted method is used to calculate the humidity data of each grid point. A specific search radius is set for each grid point in the grid model of the wood curing area. The corresponding humidity monitoring sensors are found within the search radius. After determining the humidity monitoring sensors corresponding to each grid point, the distance calculation algorithm is used to accurately calculate the distance from each grid point to each humidity monitoring sensor within its search radius. On this basis, the principle of inverse distance weighting is adopted, that is, the weight of each humidity monitoring sensor is determined according to the reciprocal of the distance. The closer the sensor is to the grid point, the larger the reciprocal of the distance, and the greater the weight given when calculating the humidity data of the grid point; conversely, the farther the sensor is from the grid point, the smaller the reciprocal of the distance, and the smaller the weight. Finally, according to the respective weights of each humidity monitoring sensor, the humidity values monitored by them are weighted and averaged to calculate the humidity data of each grid point. Among them, the calculation formula for the humidity data of each grid point is:

[0031] Among them, Z i is the humidity value of the i th humidity monitoring sensor, n is the number of humidity monitoring sensors within the search radius, w i is the weight of the i th humidity monitoring sensor.

[0032] In summary, in the wood humidity control method in the above embodiments of the present invention, by evenly arranging air outlets covering the wood curing area around the wood curing area, and evenly arranging humidity monitoring sensors for monitoring humidity at different horizontal heights in the wood curing area, the size parameters of the wood curing area are obtained, a basic model and a grid model are constructed, and multiple grid points are set within the area. Compared with the traditional single-sensor detection, with the help of grid points, the wood curing area is refined. Each grid point can calculate its own humidity data based on the data collected by multiple humidity monitoring sensors and combined with distance information, so as to generate a humidity distribution map. This method breaks the limitation of the detection range of a single sensor, captures the humidity changes in the area in all directions, greatly improves the accuracy and comprehensiveness of humidity detection. According to the humidity distribution map, the system can timely master the humidity distribution in the wood curing area. Once the humidity is abnormal in some areas, the system can quickly locate the position information of the abnormal area and adjust the control parameters of the corresponding air outlet accordingly. It realizes the rapid response and precise regulation of humidity abnormality. It solves the problem of inaccuracy in the existing wood humidity control methods.

[0033] Example 2 This embodiment also proposes a wood humidity control method. The difference between the wood humidity control method in this embodiment and the wood humidity control method in Embodiment 1 lies in that: After the step of determining the grid resolution according to the size parameters and preset accuracy of the wood curing area, the following steps are further included: Humidity data collected by humidity monitoring sensors are respectively obtained, and a humidity difference area with different humidity is determined according to the humidity data and the position information of the humidity monitoring sensors; The grid resolution of the grid points in the humidity difference area is adjusted according to the humidity difference in the humidity difference area.

[0034] Among them, to further improve the accuracy of humidity monitoring and control in the wood curing area, based on the actual humidity difference, the dynamic adjustment of the grid resolution is carried out. First, continuously collect the humidity data collected by humidity monitoring sensors arranged at multiple different positions in the wood curing area. These sensors are distributed at various corners and different height levels of the area according to certain rules to capture humidity information in all directions in real time. Combine the collected humidity data with the corresponding position information of the sensors to determine the humidity difference area where the humidity is different. Once the humidity difference area is determined, it indicates that this area requires more refined monitoring and control. Based on this analysis result, the grid resolution of the grid points in the humidity difference area will be specifically increased.

[0035] Specifically, the step of determining the humidity difference area where the humidity is different according to the humidity data and the position information of the humidity monitoring sensors includes: Obtain the humidity data collected by all humidity monitoring sensors, and determine the target humidity data closest to the preset humidity threshold from them; Calculate the absolute difference between the humidity data collected by other humidity monitoring sensors and the target humidity data to select the target humidity monitoring sensors whose collected humidity data is different from the target humidity data from the humidity monitoring sensors; Determine the humidity difference area where the humidity is different according to the position information of the target humidity monitoring sensors.

[0036] Among them, in order to determine the area where grid resolution adjustment is required, a humidity difference area where the humidity is determined to be different from other areas is obtained. First, the humidity data collected in real time by all humidity monitoring sensors in the wood curing area are summarized. These data reflect the real-time humidity conditions at different positions in the area. The preset humidity threshold is determined according to the requirements of the wood curing process and represents the appropriate humidity reference value for the wood during the curing stage. The system compares all the collected humidity data with the preset humidity threshold, finds the humidity data closest to the humidity threshold, and determines it as the target humidity data. For example, if the preset humidity threshold is 60%, and among the humidity data collected by the sensors, 59% is the closest to the threshold, then 59% is the target humidity data. After determining the target humidity data, calculate the absolute difference between the humidity data collected by the remaining humidity monitoring sensors and the target humidity data. The absolute difference can intuitively reflect the deviation degree of each sensor data from the target humidity data. According to the preset difference standard, select the humidity monitoring sensors whose absolute difference exceeds this standard, and identify them as the target humidity monitoring sensors. Obtain the position information of the target humidity monitoring sensors, and the spatial distribution positions of these sensors are pre-entered and stored in the system. Based on this position information, the area around the target humidity monitoring sensors is designated as the humidity difference area.

[0037] In specific implementation, there may be a single or multiple target humidity monitoring sensors. When there is only one selected target humidity monitoring sensor, the area within a preset range centered on this sensor is directly designated as the humidity difference area. The setting of the preset range comprehensively considers factors such as the detection accuracy of the sensor, the sensitivity of the wood to humidity changes, and the convenience of actual regulation. For example, if the preset range is set as a radiation area with a radius of 2 meters centered on the sensor, then this space range with a radius of 2 meters is designated as the humidity difference area.

[0038] When the system identifies multiple target humidity monitoring sensors, to accurately define the scope of humidity anomalies, the system will use a clustering algorithm to group target humidity monitoring sensors with adjacent spatial positions into one category, forming multiple sensor clusters. The clustering algorithm will ensure the spatial continuity of humidity anomalies detected by sensors within the same cluster based on factors such as the distance and distribution density between sensors. Exemplarily, the system will scan each target humidity monitoring sensor one by one. Taking the selected sensor as the center, it will check in different directions. Once the first sensor found in any direction is another target humidity monitoring sensor, it is considered that these two sensors are adjacent in spatial position, and the newly discovered sensor will be incorporated into the cluster to which the current sensor belongs. For example, assume that sensor A is scanned first, and the system starts searching in different directions from sensor A. If the first sensor found in one of the directions of sensor A is sensor B, then sensor B will be incorporated into the cluster starting with sensor A. After completing the search around sensor A, the system will switch to other sensors within the cluster, such as sensor B, and continue the search until the search is completed.

[0039] In each sensor cluster, the system will further identify the outermost outer humidity detection sensors. These outer sensors are like "boundary markers" that delimit the humidity difference area. The system extends line segments outward from these outer detection sensors respectively. The area enclosed by these line segments is the humidity difference area. It should be noted that due to the special arrangement of the aforementioned humidity sensors, the humidity detection sensors within the formed sensor cluster enclose a three-dimensional area. Additionally, in some optional embodiments of the present invention, the humidity difference area can also be determined based on the QuickHull algorithm using the three-dimensional coordinate information of the outer humidity detection sensors; or the smallest three-dimensional rectangular area that can cover the outer humidity detection sensors can be used as the humidity difference area. It can be understood and known to those skilled in the art regarding the specific implementation methods for determining the humidity difference area. Other technical means that can replace the above determination of the humidity area will not be elaborated here.

[0040] In summary, in the above-described embodiment of the wood humidity control method of the present invention, by evenly arranging air outlets covering the wood curing area around the wood curing area, and evenly arranging humidity monitoring sensors for monitoring humidity at different horizontal heights in the wood curing area, obtaining the size parameters of the wood curing area, constructing a basic model and a grid model, and setting a plurality of grid points in the area. Compared with the traditional single-sensor detection, with the help of grid points, the wood curing area is finely divided. Each grid point can calculate its own humidity data based on the data collected by multiple humidity monitoring sensors and combined with the distance information, so as to generate a humidity distribution map. This method breaks the limitation of the detection range of a single sensor, captures the humidity changes in the area in all directions, greatly improves the accuracy and comprehensiveness of humidity detection. According to the humidity distribution map, the system can timely master the humidity distribution in the wood curing area. Once the humidity is abnormal in some areas, the system can quickly locate the position information of the abnormal area and adjust the control parameters of the corresponding air outlet accordingly. It realizes the rapid response and precise regulation of humidity abnormality. It solves the problem of inaccuracy in the existing wood humidity control method.

[0041] Embodiment III Please refer to Figure 2 , which shows the wood humidity control device proposed in the third embodiment of the present invention, used to control the humidity of the wood placed in the wood curing area. Air outlets covering the wood curing area are evenly arranged around the wood curing area. The air outlets are used to convey airflows for adjusting the humidity of the wood curing area. Humidity monitoring sensors for monitoring humidity are evenly arranged at different horizontal heights in the wood curing area. The device includes: An acquisition module 100, configured to acquire the size parameters of the wood curing area, and obtain the basic model of the wood curing area according to the size parameters of the wood curing area; A generation module 200, configured to determine the grid resolution according to the size parameters of the wood curing area and a preset accuracy, and generate corresponding grid points in the basic model according to the grid resolution to obtain the grid model of the wood curing area; A calculation module 300, configured to acquire the humidity data collected by the humidity monitoring sensors, calculate the humidity data of each grid point according to the distance information between the humidity monitoring sensors and the grid points and the humidity data collected by the humidity monitoring sensors, and assign the humidity data to the corresponding grid points to obtain the humidity distribution map of the wood curing area; A control module 400, configured to determine the humidity distribution in the wood curing area according to the humidity distribution map, and when the humidity in one partial area in the humidity distribution map is abnormal, adjust the control parameters of the air outlet corresponding to the position according to the position information of the partial area.

[0042] Further, for the above wood humidity control device, the step of obtaining the humidity data collected by the humidity monitoring sensor and calculating the humidity data of each grid point according to the distance information between the humidity monitoring sensor and the grid point and the humidity data collected by the humidity monitoring sensor includes: Set a search radius for each grid point, and find the corresponding humidity monitoring sensor within the search radius; Calculate the distance from each grid point to the humidity monitoring sensor within the corresponding search radius, and determine their respective weights according to the reciprocal of the distance; According to the respective weights of the humidity monitoring sensors, perform weighted averaging on the monitored humidity values to obtain the humidity data of each grid point.

[0043] Further, for the above wood humidity control device, the calculation formula for the humidity data of each grid point is:

[0044] Wherein, Z i is the humidity value of the i th humidity monitoring sensor, n is the number of humidity monitoring sensors within the search radius, w i is the i th weight of the humidity monitoring sensor.

[0045] Further, for the above wood humidity control device, after the step of determining the grid resolution according to the size parameters of the wood curing area and the preset accuracy, it further includes: Respectively obtain the humidity data collected by the humidity monitoring sensors, and determine the humidity difference area where the humidity is different according to the humidity data and the position information of the humidity monitoring sensors; Adjust the grid resolution of the grid points in the humidity difference area according to the humidity difference in the humidity difference area.

[0046] Further, for the above wood humidity control device, the step of determining the humidity difference area where the humidity is different according to the humidity data and the position information of the humidity monitoring sensors includes: Obtain the humidity data collected by all humidity monitoring sensors, and determine the target humidity data closest to the preset humidity threshold therefrom; Calculate the absolute difference between the humidity data collected by other humidity monitoring sensors and the target humidity data, so as to select the target humidity monitoring sensors whose collected humidity data is different from the target humidity data from the humidity monitoring sensors; Determine the humidity difference area where the humidity is different according to the position information of the target humidity monitoring sensors.

[0047] Further, for the above wood humidity control device, the step of determining the humidity difference area where the humidity is different according to the position information of the target humidity monitoring sensor includes: When the number of target humidity detection sensors is one, the area within the preset range of the target humidity detection sensor is used as the humidity difference area; When the number of target humidity detection sensors is multiple, the adjacent target humidity monitoring sensors are clustered to form a sensor cluster, the outermost humidity detection sensors in the sensor cluster are obtained, and the area enclosed by the line segments extending outward from the outermost detection sensors respectively is used as the humidity difference area.

[0048] Further, for the above wood humidity control device, the humidity monitoring sensors are arranged in layers at different horizontal heights. Within the same height layer, the humidity monitoring sensors are evenly distributed at equal intervals, and the humidity monitoring sensors between different height layers are staggered from each other.

[0049] The functions or operation steps realized when the above modules are executed are substantially the same as those in the above method embodiments, and will not be described in detail here.

[0050] Embodiment 4 On the other hand, the present invention also provides a readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the method according to any one of the above Embodiments 1 to 2 are realized.

[0051] Embodiment 5 On the other hand, the present invention also provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and running on the processor. When the processor executes the program, the steps of the method according to any one of the above Embodiments 1 to 2 are realized.

[0052] The technical features of each of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0053] Those skilled in the art will understand that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable storage medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable storage medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0054] More specific examples (non-exhaustive list) of computer-readable storage media include the following: an electrical connection part with one or more wirings (electronic device), a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable storage medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other appropriate processing when necessary, and then stored in a computer memory.

[0055] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0056] In the description of this specification, the description referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0057] The above-described embodiments merely represent several implementation manners of the present invention. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all fall within the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention shall be subject to the appended claims.

Claims

1. A method for controlling wood humidity, characterized in that: The method is used to control the humidity of wood placed in a wood curing area, air outlets covering the wood curing area are evenly arranged around the wood curing area, the air outlets are used to deliver airflow for adjusting the humidity of the wood curing area, and humidity monitoring sensors for monitoring the humidity are evenly arranged at different levels in the wood curing area. The method comprises: Acquire the size parameters of the wood health-care area, and obtain a basic model of the wood health-care area according to the size parameters of the wood health-care area; Determine the grid resolution according to the size parameters and preset accuracy of the wood health-care area, and generate corresponding grid points in the basic model according to the grid resolution to obtain a grid model of the wood health-care area; Obtaining humidity data collected by the humidity monitoring sensor, calculating humidity data of each grid point according to the distance information between the humidity monitoring sensor and the grid point and the humidity data collected by the humidity monitoring sensor, assigning the humidity data to the corresponding grid point to obtain a humidity distribution map of the wood health care area; The humidity distribution in the wood curing area is determined according to the humidity distribution map, and when the humidity in one of the partial areas in the humidity distribution map is abnormal, the control parameters of the air outlet corresponding to the position are adjusted according to the position information of the partial area.

2. The wood humidity control method according to claim 1, characterized in that: The step of obtaining the humidity data collected by the humidity monitoring sensor and calculating the humidity data of each grid point according to the distance information between the humidity monitoring sensor and the grid point and the humidity data collected by the humidity monitoring sensor comprises: Set a search radius for each grid point and find the corresponding humidity monitoring sensor within the search radius; Calculate the distance from each grid point to the humidity monitoring sensor within the corresponding search radius, and determine their respective weights based on the inverse of the distance; According to the weights of the humidity monitoring sensors, the humidity values ​​monitored by them are weighted averaged to obtain the humidity data of each grid point.

3. The wood humidity control method according to claim 2, characterized in that: The calculation formula for humidity data at each grid point is: in, Z i For the i The humidity value of a humidity monitoring sensor, n To find the number of humidity monitoring sensors within the search radius, w i For the i The weight of each humidity monitoring sensor.

4. The wood humidity control method according to claim 1, characterized in that: After the step of determining the grid resolution according to the size parameters of the wood curing area and the preset accuracy, the following step is further performed: Respectively obtain humidity data collected by the humidity monitoring sensors, and determine humidity difference areas where humidity difference exists according to the humidity data and position information of the humidity monitoring sensors; The grid resolution of the grid points in the humidity difference area is adjusted according to the humidity difference in the humidity difference area.

5. The wood humidity control method according to claim 4, characterized in that: The step of determining the humidity difference area where the humidity is different according to the humidity data and the position information of the humidity monitoring sensor comprises: Obtaining humidity data collected by all humidity monitoring sensors, and determining target humidity data closest to a preset humidity threshold; Calculate the absolute difference between the humidity data collected by other humidity monitoring sensors and the target humidity data, so as to select the target humidity monitoring sensor whose collected humidity data differs from the target humidity data from the humidity monitoring sensors; A humidity difference area where humidity difference exists is determined according to the position information of the target humidity monitoring sensor.

6. The wood humidity control method according to claim 5, characterized in that: The step of determining the humidity difference area where the humidity is different according to the position information of the target humidity monitoring sensor comprises: When the number of the target humidity detection sensor is one, an area within a preset range of the target humidity detection sensor is used as a humidity difference area; When there are multiple target humidity detection sensors, the adjacent target humidity monitoring sensors are clustered to form a sensor cluster, and the outermost outer humidity detection sensors in the sensor cluster are obtained. The area enclosed by the line segments extending outward from the outer detection sensors is used as the humidity difference area.

7. The wood humidity control method according to claim 1, characterized in that: Humidity monitoring sensors are arranged in layers at different heights. Within the same height layer, humidity monitoring sensors are evenly distributed at equal intervals, and humidity monitoring sensors between different height layers are staggered.

8. A wood humidity control device, characterized in that: The device is used to control the humidity of wood placed in the wood curing area. Air outlets covering the wood curing area are evenly arranged around the wood curing area. The air outlets are used to deliver airflow for adjusting the humidity of the wood curing area. Humidity monitoring sensors for monitoring humidity are evenly arranged at different levels in the wood curing area. The device includes: An acquisition module is used to acquire the size parameters of the wood health-care area, and obtain a basic model of the wood health-care area according to the size parameters of the wood health-care area; A generation module is used to determine the grid resolution according to the size parameters and preset accuracy of the wood health-care area, and to generate corresponding grid points in the basic model according to the grid resolution to obtain a grid model of the wood health-care area; A calculation module is used to obtain humidity data collected by the humidity monitoring sensor, calculate the humidity data of each grid point according to the distance information between the humidity monitoring sensor and the grid point and the humidity data collected by the humidity monitoring sensor, and assign the humidity data to the corresponding grid point to obtain a humidity distribution map of the wood health care area; The control module is used to determine the humidity distribution in the wood health care area according to the humidity distribution map, and when the humidity in one of the partial areas in the humidity distribution map is abnormal, adjust the control parameters of the air outlet corresponding to the position according to the position information of the partial area.

9. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the program.

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