A modular wooden mortise and tenon structure assembly method and system

Abstract

This application provides a modular wooden mortise and tenon structure assembly method and system. The method involves generating a three-dimensional map by real-time acquisition of humidity distribution in the joint area, calculating the temperature difference between adjacent points to generate expansion compensation parameters, embedding shape memory alloy components into the mortise and tenon surfaces, triggering directional deformation displacement based on temperature gradients, and dynamically balancing the locking force and expansion threshold through electrical adjustment. A mechanical limiting structure is set up, triggering physical locking and generating constraint signals when the alloy undergoes maximum deformation. Compensation correction coefficients are generated by correlating day and night humidity data, optimizing parameter benchmarks, and converting humidity fluctuations into current commands through closed-loop feedback to dynamically adjust the energizing duration and intensity, ensuring that the mortise and tenon assembly accuracy remains stable within preset tolerances. The technical solution provided in this application utilizes shape memory alloy temperature-controlled deformation and closed-loop feedback technology to adaptively adjust the mortise and tenon joint state, completely solving the problem of loosening of wooden structures caused by temperature differences, and improving assembly stability and durability.

Description

Technical Field

[0001] This application relates to the field of modular wood manufacturing technology, and in particular to a modular wood mortise and tenon structure assembly method and system. Background Technology

[0002] Modular wood often faces environmental temperature fluctuations during transportation and use, causing millimeter-level deformation at the mortise and tenon joints due to the difference in thermal expansion coefficients between wood and composite materials. This can lead to structural loosening or assembly / disassembly difficulties. Existing technologies need to achieve real-time monitoring and adaptive compensation of the expansion of the mortise and tenon joint surfaces without human intervention, while ensuring that the assembly / disassembly accuracy error remains within a small range. This is necessary to meet the long-term stability requirements of wood in high-latitude regions, warehousing, and logistics environments with significant temperature differences.

[0003] One current solution to this problem is a "tenon and mortise adjustment device based on temperature-sensitive shape memory alloy." This device embeds a nickel-titanium alloy sheet inside the tenon and utilizes the alloy's phase transition humidity point, such as 35°C. When the ambient humidity exceeds a threshold, the alloy contracts and deforms, causing the tenon to move slightly to fill the expansion gap. The device monitors local humidity using a built-in humidity sensor and uses an electronic control unit to switch current on and off on the alloy sheet, achieving unidirectional deformation compensation.

[0004] While existing solutions can compensate for unidirectional deformation when humidity rises by using the phase change humidity point of the nickel-titanium alloy sheet, their limitations lie in their inability to respond to the shrinkage and reset requirements caused by humidity decreases. This leads to accelerated fatigue damage at the tenon-and-mortise joint surface due to unidirectional stress accumulation in scenarios with alternating day and night humidity. At the same time, the monitoring method relying on a single humidity sensor is difficult to capture the three-dimensional spatial temperature gradient distribution in the tenon-and-mortise joint area, causing the direction of compensation deformation to deviate from the actual expansion direction, which in turn exacerbates local stress concentration. In addition, the lack of a physical limiting mechanism linked to deformation displacement means that when the alloy sheet undergoes excessive deformation due to abnormal current or material aging, it is impossible to forcibly lock the relative position of the tenon and mortise, posing a risk of uncontrolled assembly accuracy or even structural jamming. Summary of the Invention

[0005] This application provides a modular wooden mortise and tenon structure assembly method and system to solve the problem of deformation caused by humidity in the prior art.

[0006] In a first aspect, this application provides a modular wooden mortise and tenon structure assembly method, including:

[0007] Obtain humidity distribution data of the tenon and mortise joint area and form a humidity change map containing spatial coordinates. Calculate and generate expansion compensation parameters based on the numerical differences between adjacent coordinate points in the humidity change map.

[0008] A shape memory alloy component is implanted at a predetermined position on the mortise and tenon joint surface. The shape memory alloy component generates a directional deformation displacement including a positive compensation displacement and a reverse reset displacement according to the humidity gradient direction in the expansion compensation parameters.

[0009] The excitation state of the shape memory alloy component is adjusted based on the real-time humidity fluctuation in the humidity change spectrum, so that the locking force output value and the preset material expansion difference threshold are kept in dynamic balance. At the same time, a mechanical limiting structure is established in conjunction with the directional deformation displacement. When the shape memory alloy component reaches the maximum deformation, the physical card is triggered to generate a displacement constraint signal.

[0010] The periodic humidity fluctuation data in the humidity change map is correlated and matched with the environmental humidity change trend to generate a compensation correction coefficient for the diurnal humidity cycle. The calculation benchmark of the expansion compensation parameter is dynamically corrected and updated according to the compensation correction coefficient.

[0011] The real-time humidity fluctuation is converted into a current adjustment command through a closed-loop feedback mechanism. The current adjustment command dynamically adjusts the duration and intensity of the excitation state according to the displacement constraint signal, so that the assembly accuracy of the modular wooden mortise and tenon joint structure is maintained within the set range of the disassembly and assembly tolerance under temperature difference environment.

[0012] Optionally, the excitation state of the shape memory alloy component is adjusted based on the real-time humidity fluctuation in the humidity change spectrum, so that the locking force output value and the preset material expansion difference threshold are dynamically balanced, and a mechanical limiting structure linked to the directional deformation displacement is established, including:

[0013] A humidity response circuit is embedded in the shape memory alloy component to acquire the humidity fluctuation amplitude in the bonding area in real time, and to calculate the difference between the humidity fluctuation amplitude and a preset deformation trigger threshold.

[0014] When the humidity fluctuation amplitude exceeds the threshold, a corresponding current adjustment command is generated based on the difference result. The deformation rate of the memory alloy component is controlled by increasing or decreasing the energizing voltage, so that the deviation range between the actual locking force of the tenon joint surface and the preset material expansion difference threshold is compressed to the dynamic equilibrium range.

[0015] A limiting slider that is linked to the deformation direction of the shape memory alloy component is set inside the tenon. When the deformation of the shape memory alloy component caused by the power supply reaches the maximum allowable value, the slider slides into the preset limiting groove in the mortise under the action of the spring force, forming a mechanical limiting structure that physically locks and cuts the shape memory alloy component.

[0016] Optionally, the current adjustment command dynamically adjusts the duration and intensity of the excitation state according to the displacement constraint signal, so that the assembly accuracy of the modular wooden mortise and tenon joint structure is maintained within the set range of allowable disassembly and assembly tolerances under temperature difference conditions, including:

[0017] When the displacement constraint signal indicates that the displacement of the tenon and mortise joint exceeds the upper limit of the disassembly and assembly tolerance, the difference ratio between the current displacement and the upper limit of the tolerance is extracted, and the energizing duration is shortened proportionally; if the displacement is lower than the lower limit of the tolerance, a pulsed energizing sequence is generated according to the difference ratio, and the duration of each pulse decreases gradually as the displacement approaches the tolerance range.

[0018] The deformation direction and rate in the displacement constraint signal are analyzed in real time. If the displacement continues to deviate from the tolerance center value due to the expansion of the temperature difference, the current amplitude is increased according to the product coefficient of the deformation rate and the tolerance deviation. If the displacement returns to the tolerance center due to the reduction of the temperature difference, the current amplitude is reduced according to the exponential decay model based on the reset speed.

[0019] After each power-on parameter adjustment, the latest displacement of the mortise and tenon joint surface is captured in real time by the displacement sensor. If the displacement still does not fall within the tolerance range, the difference between the current displacement and the tolerance boundary is recalculated, and the control parameters of the power-on duration and intensity are updated cyclically with the absolute value of the difference as the weight, until the displacement stabilizes within the set range.

[0020] Optionally, expansion compensation parameters are calculated based on the numerical differences between adjacent coordinate points in the humidity change map, including:

[0021] Multiple consecutive humidity measurement points are selected within the joint area. Taking each measurement point as the center, the humidity values ​​of adjacent measurement points are compared layer by layer along the three-dimensional spatial extension direction of the contact surface between the tenon and the mortise.

[0022] Based on the continuous direction of humidity increase or decrease in the comparison results, determine the local expansion or contraction trend of the mortise and tenon joint material;

[0023] For each measurement point, the sum of the absolute values ​​of the humidity differences with at least three adjacent measurement points is calculated, and the sum of the absolute values ​​is associated with the corresponding compensation amount in the preset temperature difference-deformation mapping table to obtain the compensation parameter value of the area where each measurement point is located.

[0024] Regional clustering is performed on the compensation parameter values ​​of all measurement points within the same joint surface. After removing isolated points, expansion compensation parameters covering the entire joint surface are generated.

[0025] Optionally, the shape memory alloy assembly generates a directional deformation displacement including a positive compensation displacement and a reverse reset displacement according to the humidity gradient direction in the expansion compensation parameters, including:

[0026] At least one set of shape memory alloy strips with bidirectional deformation capability are provided inside the joint surface of the tenon and the mortise. The shape memory alloy strips are distributed along the tenon and mortise joint direction and are fixed at both ends to the inside of the tenon and the side wall of the mortise, respectively.

[0027] When the humidity gradient direction in the joint area is from the tenon to the mortise, the end of the shape memory alloy strip fixed to the tenon is heated and triggered to undergo positive deformation displacement, pushing the tenon to move into the mortise to compensate for the expansion gap; when the humidity gradient direction is reversed, the end of the shape memory alloy strip fixed to the mortise is triggered to undergo reverse deformation displacement, pulling the tenon back to its original position to eliminate shrinkage stress.

[0028] The displacement of forward and reverse deformation is controlled by the length and diameter of the shape memory alloy strip and the preset temperature difference trigger threshold.

[0029] Optionally, the periodic humidity fluctuation data in the humidity change map is correlated and matched with the environmental humidity change trend to generate a compensation correction coefficient for the diurnal humidity cycle, including:

[0030] Extract the humidity fluctuation data for 24 consecutive hours from the humidity change map, and divide the humidity rising phase and the humidity falling phase into multiple time windows respectively;

[0031] Calculate the maximum, average, and duration of the rate of humidity change within each time window, and perform similarity matching with the diurnal humidity trend curve obtained by the environmental humidity monitoring device;

[0032] Based on the repeatability of the influence of day and night humidity on the mortise and tenon joint surface in the matching results, a humidity compensation correction coefficient based on a time window is generated.

[0033] Optionally, dynamically adjusting and updating the calculation basis of the expansion compensation parameters according to the compensation correction coefficient includes:

[0034] The compensation correction coefficient is divided into multiple sub-coefficients according to the day-night cycle, and each sub-coefficient corresponds to the humidity influence weight for a specific time period;

[0035] When calculating the expansion compensation parameters, the humidity difference between adjacent coordinate points acquired in real time is multiplied by the sub-coefficient of the corresponding time period to obtain the corrected dynamic humidity difference.

[0036] The compensation parameter generation process is re-executed based on the corrected dynamic humidity difference, and a sliding time window mechanism is used to update the historical correction results in a rolling manner to ensure that the calculation benchmark is automatically adjusted with the long-term trend of environmental humidity.

[0037] Secondly, this application provides a modular wooden mortise and tenon structure assembly system, comprising:

[0038] The calculation module is used to acquire humidity distribution data of the tenon and mortise joint area and form a humidity change map containing spatial coordinates. Based on the numerical difference between adjacent coordinate points in the humidity change map, expansion compensation parameters are calculated and generated.

[0039] An execution module is used to implant a shape memory alloy component at a preset position on the mortise and tenon joint surface. The shape memory alloy component generates a directional deformation displacement including a positive compensation displacement and a reverse reset displacement according to the humidity gradient direction in the expansion compensation parameters.

[0040] The generation module is used to adjust the excitation state of the shape memory alloy component based on the real-time humidity fluctuation in the humidity change spectrum, so that the locking force output value and the preset material expansion difference threshold are kept in dynamic balance. At the same time, a mechanical limiting structure is established in conjunction with the directional deformation displacement. When the shape memory alloy component reaches the maximum deformation, the physical card is triggered to generate a displacement constraint signal.

[0041] The generation module is also used to correlate and match the periodic humidity fluctuation data in the humidity change map with the environmental humidity change trend, generate a compensation correction coefficient for the day and night humidity cycle, and dynamically correct and update the calculation benchmark of the expansion compensation parameter according to the compensation correction coefficient.

[0042] The adjustment module is used to convert the real-time humidity fluctuation into a current adjustment command through a closed-loop feedback mechanism. The current adjustment command dynamically adjusts the duration and intensity of the excitation state according to the displacement constraint signal, so that the assembly accuracy of the modular wooden mortise and tenon joint structure is maintained within the set range of the disassembly and assembly tolerance under temperature difference environment.

[0043] Thirdly, embodiments of this application provide a computing device, including a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are invoked and executed by the processing component to implement a modular wooden mortise and tenon structure assembly method as described in the first aspect above.

[0044] Fourthly, embodiments of this application provide a computer storage medium storing a computer program, which, when executed by a computer, implements a modular wooden mortise and tenon structure assembly method as described in the first aspect.

[0045] This application embodiment acquires a three-dimensional humidity change map of the mortise and tenon joint area in real time, calculates expansion compensation parameters based on the temperature difference between adjacent coordinate points, and accurately locates the local expansion / contraction stress concentration area; a shape memory alloy component is implanted on the joint surface, triggering bidirectional deformation displacement (positive gap compensation, reverse stress elimination) according to the humidity gradient direction, realizing directional adaptive adjustment of thermal expansion and contraction; combined with real-time humidity fluctuations, the excitation state is dynamically adjusted to dynamically balance the locking force output with the material expansion difference threshold, avoiding locking force overload or failure; through the linkage of mechanical limit structure and deformation displacement, physical locking is triggered when the deformation reaches the maximum value, forcibly constraining the risk of displacement exceeding the limit; further, the diurnal humidity fluctuations and environmental trends are correlated to generate compensation correction coefficients, optimize the expansion parameter calculation benchmark, and improve the long-term temperature difference environment adaptability; finally, through a closed-loop feedback mechanism, humidity fluctuations are converted into current commands, and the energizing parameters are dynamically calibrated in combination with displacement constraint signals to ensure that the mortise and tenon assembly accuracy is stable within the disassembly and assembly tolerance range, solving the problems of unidirectional compensation deviation, lack of three-dimensional temperature difference monitoring, and deformation runaway in the prior art.

[0046] Furthermore, a humidity response circuit is embedded in the shape memory alloy component to calculate in real time the difference between the humidity fluctuation amplitude of the joint area and the deformation trigger threshold. When the threshold is exceeded, a graded current command is generated to adjust the deformation speed, compress the locking force deviation to the dynamic equilibrium range, and a limit slider that is linked to the deformation is set in the tenon. When the deformation reaches the maximum value, the slider is triggered to engage with the mortise groove, cut off the power circuit and generate a displacement constraint signal. By embedding a humidity response circuit to calculate in real time the difference between the humidity fluctuation amplitude and the deformation trigger threshold in the joint area, a graded current command is generated to adjust the energizing voltage when the limit is exceeded. This dynamically matches the deformation rate of the shape memory alloy component with the deviation of the locking force, compressing the expansion difference to the equilibrium range and avoiding stress overload or insufficient compensation. At the same time, a limiting slider linked to the deformation direction is set in the tenon. When the deformation reaches the preset maximum value, the slider is pulled by the spring and embedded into the mortise limiting groove to form a physical lock, forcibly blocking the deformation displacement and cutting off the energizing circuit to prevent assembly loss of control caused by excessive deformation. Combined with the real-time feedback of the displacement constraint signal, the amplitude and timing of subsequent current adjustment commands are dynamically calibrated to form a complete control link of "humidity monitoring - deformation compensation - mechanical limiting - signal closed loop", ensuring that the tenon joint accuracy remains stable and controllable under alternating high and low temperature impacts.

[0047] These or other aspects of this application will become more apparent in the following description of the embodiments. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 A flowchart of a modular wooden mortise and tenon structure assembly method provided in this application is shown;

[0050] Figure 2 A scene diagram is shown illustrating a modular wooden mortise and tenon structure assembly method provided in this application;

[0051] Figure 3 A structural schematic diagram of a modular wooden mortise and tenon structure assembly system provided in this application is shown;

[0052] Figure 4 A schematic diagram of the structure of a computing device provided in this application is shown. Detailed Implementation

[0053] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0054] In some of the processes described in the specification, claims, and accompanying drawings of this application, multiple operations appearing in a specific order are included. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or may be executed in parallel. The operation numbers, such as 101, 102, etc., are merely used to distinguish different operations and do not themselves represent any execution order. Furthermore, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first," "second," etc., in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to different types.

[0055] In existing modular wooden mortise and tenon structure temperature control assembly technology, the unidirectional compensation scheme based on nickel-titanium alloy sheets has significant drawbacks: First, it only compensates for unidirectional deformation triggered by rising humidity and cannot respond to the shrinkage and reset requirements caused by falling humidity. This leads to accelerated fatigue damage at the mortise and tenon joint surfaces due to unidirectional stress accumulation during alternating day and night humidity periods. Second, the monitoring method relying on a single humidity sensor is insufficient to capture the three-dimensional spatial temperature gradient distribution in the mortise and tenon joint area, causing a deviation between the compensated deformation direction and the actual expansion direction, exacerbating local stress concentration. Third, it lacks a physical limiting mechanism linked to deformation displacement. When the alloy sheet undergoes excessive deformation due to abnormal current or material aging, it cannot forcibly lock the relative position of the mortise and tenon, posing a risk of uncontrolled assembly accuracy or even structural jamming. These problems stem from insufficient perception of the humidity gradient direction, lack of dynamic control of three-dimensional expansion differences, and inadequate protection against uncontrolled deformation processes in existing technologies.

[0056] To address the aforementioned shortcomings, this application proposes an adaptive assembly method for mortise and tenon structures based on multidimensional temperature gradient driving. By acquiring real-time three-dimensional humidity variation maps of the mortise and tenon joint area, the direction and intensity of the humidity gradient at adjacent coordinate points are analyzed to generate bidirectional deformation compensation parameters. A shape memory alloy component is implanted into the mortise and tenon joint surface, triggering positive compensation displacement (filling expansion gaps) or reverse reset displacement (eliminating shrinkage stress) based on the humidity gradient direction, achieving bidirectional adaptive adjustment of thermal expansion and contraction. The excitation state of the shape memory alloy is dynamically adjusted in conjunction with real-time humidity fluctuations to maintain a balance between the locking force output and the material expansion difference threshold. A mechanical limiting structure triggers physical locking and displacement constraint signals when the deformation reaches its maximum value, forcibly locking the mortise and tenon position. Furthermore, a compensation correction coefficient is generated by correlating diurnal humidity fluctuations with environmental trends to optimize the parameter benchmark, and the power-on command is dynamically calibrated through a closed-loop feedback mechanism. This solution, through three-dimensional temperature difference monitoring, bidirectional deformation compensation, mechanical linkage limiting, and environmental adaptive correction, solves the problems of unidirectional compensation deviation, lack of three-dimensional gradient perception, and deformation runaway in existing technologies, ensuring that the mortise and tenon assembly accuracy is stable and controllable within a tolerance range of ±0.5mm.

[0057] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0058] Figure 1 A flowchart of a modular wooden mortise and tenon structure assembly method is provided in this application embodiment, such as... Figure 1 As shown, the method includes:

[0059] 101. Obtain humidity distribution data of the tenon and mortise joint area and form a humidity change map containing spatial coordinates. Calculate and generate expansion compensation parameters based on the numerical differences between adjacent coordinate points in the humidity change map.

[0060] Optionally, step 101 may specifically include the following steps:

[0061] 1011. Select multiple consecutive humidity measurement points within the joint area. Using each measurement point as the center, compare the humidity values ​​of adjacent measurement points layer by layer along the three-dimensional spatial extension direction of the contact surface between the tenon and the mortise.

[0062] 1012. Based on the continuous direction of humidity increase or decrease in the comparison results, determine the local expansion or contraction trend of the mortise and tenon joint material;

[0063] 1013. For each measurement point, calculate the sum of the absolute values ​​of the humidity differences with at least three adjacent measurement points, and associate the sum of absolute values ​​with the corresponding compensation amount in the preset temperature difference-deformation mapping table to obtain the compensation parameter value of the area where each measurement point is located.

[0064] 1014. Perform regional clustering on the compensation parameter values ​​of all measurement points within the same joint surface, remove isolated points, and generate expansion compensation parameters covering the entire joint surface.

[0065] In the above scheme, the humidity change map is a thermal distribution map constructed from the humidity data of three-dimensional spatial coordinate points in the tenon and mortise joint area, used to characterize the direction and intensity of the humidity gradient in each area of ​​the joint surface; the expansion compensation parameter is the thermal expansion or contraction deformation calculated based on the humidity difference between adjacent coordinate points, used to guide the shape memory alloy component to generate compensation displacement; the three-dimensional spatial extension direction refers to the distribution path of measurement points extending along the length, width, and depth of the tenon and mortise contact surface; layer-by-layer comparison is an operation method that compares the humidity values ​​of each measurement point as the center and outward to the measurement points of adjacent layers; continuous variation The direction of humidity change describes the increasing or decreasing trend of humidity along the insertion or withdrawal direction of the tenon; the local expansion or contraction trend is the prediction result of the material deformation direction caused by the temperature gradient; the sum of absolute values ​​of humidity difference is the cumulative absolute value of the humidity difference between the measurement point and its adjacent points, used to quantify the intensity of local temperature difference; the temperature difference-deformation mapping table is a table of the correspondence between the preset cumulative temperature difference value and the compensation deformation; region clustering refers to the operation of dividing measurement points with similar compensation parameter values ​​into the same deformation compensation region; isolated points refer to abnormal measurement points whose compensation parameter values ​​differ from those of adjacent regions by more than a preset threshold, which need to be removed to ensure parameter continuity.

[0066] In this embodiment, firstly, step 1011 involves selecting and comparing humidity measurement points layer by layer. Within the three-dimensional space of the mortise and tenon joint area, a humidity sensor array is deployed according to a preset grid density to form a continuous network of measurement points. Using each measurement point as the center, the humidity values ​​of adjacent measurement points are compared layer by layer along the spatial extension direction of the tenon and mortise contact surface. For example, along the tenon length direction, using the center point as a reference, measurements are extended outwards to the second and third layers, calculating the humidity difference between adjacent points in each layer to construct local temperature gradient data. Secondly, step 1012 determines the expansion or contraction trend. Based on the layer-by-layer comparison results of step 1011, the continuous direction of increase or decrease in humidity data is extracted. The local expansion or contraction trend of the mortise and tenon joint material is determined. If the humidity in a region increases along the tenon insertion direction, it is determined that the material in that region is being squeezed into the mortise due to thermal expansion; if the humidity decreases in the opposite direction, it is determined that the material is being detached from the mortise due to contraction. For example, when the humidity at the root of the tenon is higher than that at the tip, the expansion at the root is greater than that at the tip, requiring compensation by pushing it into the mortise. Next, step 1013 calculates the compensation parameter value. For each measurement point, the sum of the absolute values ​​of the humidity differences between at least three adjacent measurement points is calculated. For example, the absolute values ​​of the humidity differences at the three adjacent points before, after, and to the left of the center point are calculated and summed to obtain the cumulative temperature difference value for the corresponding center point. This cumulative value is matched with a preset temperature difference-deformation mapping table. For example, when the cumulative temperature difference is 8℃, the corresponding compensation amount in the mapping table is 0.2mm, thus obtaining the compensation parameter value for the area where the measurement point is located. Finally, step 1014 performs parameter clustering and global generation. The compensation parameter values ​​of all measurement points within the same mating surface are clustered into regions. A density clustering algorithm is used to identify continuous regions with similar compensation amounts, and isolated points deviating from the cluster center are removed. For example, measurement points with compensation amounts between 0.1 and 0.3mm are grouped into the same region, while abnormal points with compensation amounts exceeding 0.5mm are considered isolated points and removed. Finally, a set of expansion compensation parameters covering the entire junction surface is generated.

[0067] In practical applications, a three-dimensional humidity sensor array of 5 rows and 5 columns, 3 layers, is deployed on the mating surface of the tenon and mortise, forming 75 measurement points. Using the center point of the tenon (x=3, y=3, z=2) as a reference, the humidity of adjacent measurement points is compared layer by layer along the length, width, and depth of the tenon: In the first layer comparison, the humidity of the adjacent point on the right (x=4, y=3, z=2) is 27 degrees Celsius; the humidity of the adjacent point on the left (x=2, y=3, z=2) is 23 degrees Celsius; the humidity of the adjacent point above (x=3, y=4, z=2) is 26 degrees Celsius; and the humidity of the adjacent point below (x=3, y=2, z=2) is 24 degrees Celsius. In the second layer comparison, the humidity of the point on the right front (x=4, y=4, z=2) is 28 degrees Celsius; and the humidity of the point on the left rear (x=2, y=2, z=2) is 22 degrees Celsius. Based on the first layer comparison results, the difference between the humidity at the center point (25 degrees Celsius) and the right point (27 degrees Celsius) is +2 degrees Celsius, and the difference between the humidity at the center point and the left point (23 degrees Celsius) is -2 degrees Celsius. This indicates a continuous humidity gradient along the tenon length, with higher humidity on the right and lower humidity on the left, suggesting that the material on the right side is expanding due to increased humidity and being squeezed into the mortise. The absolute values ​​of the temperature differences between the center point and its three adjacent points (right, left, and top) are calculated. Specifically, the absolute temperature difference on the right (27 degrees Celsius) minus 25 degrees Celsius equals 2 degrees Celsius, the absolute temperature difference on the left (25 degrees Celsius) minus 23 degrees Celsius equals 2 degrees Celsius, and the absolute temperature difference on the top (26 degrees Celsius) minus 25 degrees Celsius equals 1 degree Celsius. The total is 2 + 2 + 1 = 5 degrees Celsius. After consulting the preset temperature difference-deformation mapping table, a corresponding compensation of 0.25 mm is matched. Subsequently, density cluster analysis was performed on the compensation parameters of all measurement points. The compensation amount of measurement points with x-coordinate greater than or equal to 3 in the right region was concentrated between 0.2 and 0.3 mm, and the compensation amount of measurement points with x-coordinate less than or equal to 3 in the left region was concentrated between 0.1 and 0.15 mm. After removing deviation values, such as a compensation amount of 0.6 mm for a certain point, compensation parameters of 0.25 mm covering the entire right region and 0.12 mm on the left region were generated.

[0068] This scheme accurately locates the local expansion or contraction trend of the mortise and tenon joint surface by comparing the humidity measurement points layer by layer in three-dimensional space and analyzing the gradient direction. It then generates compensation parameters highly adapted to the thermal distribution by dynamically matching the cumulative temperature difference between adjacent points with a deformation mapping table. Furthermore, a clustering algorithm is used to eliminate abnormal interference data, ensuring that the compensation parameter set covers the entire joint surface and maintains spatial continuity. This process achieves high-precision thermal expansion monitoring and dynamic calculation of compensation for mortise and tenon structures under complex temperature difference environments, providing a reliable data foundation for subsequent adaptive deformation control.

[0069] 102. Implant a shape memory alloy component at a preset position on the mortise and tenon joint surface. The shape memory alloy component generates a directional deformation displacement including a positive compensation displacement and a reverse reset displacement according to the humidity gradient direction in the expansion compensation parameters.

[0070] Optionally, step 102 may specifically include the following steps:

[0071] 1021. At least one set of shape memory alloy strips with bidirectional deformation capability are provided inside the joint surface of the tenon and the mortise. The shape memory alloy strips are distributed along the tenon and mortise joint direction and are fixed at both ends to the inside of the tenon and the side wall of the mortise, respectively.

[0072] 1022. When the humidity gradient direction of the joint area is from the tenon to the mortise, the end of the shape memory alloy strip fixed to the tenon is heated and triggered to deform and displace in the positive direction, pushing the tenon to move into the mortise to compensate for the expansion gap; when the humidity gradient direction is reversed, the end of the shape memory alloy strip fixed to the mortise is triggered to deform and displace in the opposite direction, pulling the tenon to reset to eliminate shrinkage stress.

[0073] 1023. The displacement of forward and reverse deformation displacement is controlled by the length and diameter of the memory alloy strip and the preset temperature difference trigger threshold.

[0074] In the above scheme, bidirectional deformation capability refers to the physical characteristic that the shape memory alloy component can produce deformation displacement in opposite directions along the tenon and mortise joint direction; shape memory alloy strip refers to a slender metal element made of nickel-titanium-based or copper-based shape memory alloy, whose deformation direction is related to the direction of humidity change; positive compensation displacement refers to the amount of displacement of the tenon pushed into the mortise by the shrinkage of the shape memory alloy strip when the humidity on the tenon side is higher than that on the mortise side; reverse reset displacement refers to the amount of displacement of the tenon pulled back to its original position by the shrinkage of the shape memory alloy strip when the humidity on the mortise side is higher than that on the tenon side; humidity gradient direction refers to the spatial trend of humidity from high to low in the tenon and mortise joint area, which is used to drive the deformation direction of the shape memory alloy; temperature difference trigger threshold refers to the critical temperature difference value that triggers the deformation of the shape memory alloy strip, below which the alloy strip remains in its original state; displacement amount refers to the distance the tenon moves due to the deformation of the shape memory alloy strip, which is determined by the length, diameter and real-time temperature difference gradient intensity of the alloy strip.

[0075] In this embodiment, firstly, a bidirectional deformation memory alloy strip is set in step 1021. At least one set of nickel-titanium-based memory alloy strips with bidirectional deformation capability is pre-embedded inside the joint surface of the tenon and mortise. The length is consistent with the depth of the tenon inserted into the mortise, and the diameter is designed according to the tenon and mortise joint force requirements. For example, when the tenon length is 150 mm, an alloy strip with a length of 140 mm and a diameter of 1.5 mm is selected. One end is anchored to the substrate inside the tenon, and the other end extends to the reserved groove on the side wall of the mortise for fixation, ensuring that the alloy strip is linearly distributed along the tenon and mortise joint direction to form a bidirectional deformation path. Secondly, step 1022 triggers bidirectional deformation displacement. When the humidity gradient direction in the joint area is such that the tenon points towards the mortise, for example, if the humidity on the tenon side rises to 38 degrees Celsius while the mortise side remains at 30 degrees Celsius, the alloy strip on the tenon side will experience shrinkage deformation due to the temperature difference exceeding the preset trigger threshold of 35 degrees Celsius. This will pull the tenon 0.2 mm into the mortise to fill the expansion gap. When the humidity gradient direction is reversed, for example, if the humidity on the mortise side rises to 36 degrees Celsius while the tenon side drops to 28 degrees Celsius, the alloy strip on the mortise side will experience shrinkage deformation due to heat. The anchoring end will pull the tenon outwards by 0.15 mm to eliminate shrinkage stress, thus achieving bidirectional deformation compensation and reset. Finally, step 1023 controls the deformation displacement. The deformation amount is dynamically calculated by the physical parameters of the alloy strip and the real-time temperature difference using the formula D = k × L × ΔT / ΔT0, where k is the material deformation coefficient, L is the length of the alloy strip, ΔT is the real-time temperature difference, and ΔT0 is the preset trigger threshold temperature difference. For example, when k = 0.01 mm / degree Celsius, L = 140 mm, ΔT = 8 degrees Celsius, and ΔT0 = 5 degrees Celsius, the deformation D = 0.01 × 140 × 8 / 5 = 2.24 mm, precisely controlling the tenon displacement to match the expansion compensation requirements.

[0076] In practical applications, two nickel-titanium-based shape memory alloy strips, each 120 mm long and 2 mm in diameter, are pre-embedded inside the mating surfaces of the tenon and mortise. One end is fixed to the substrate at the tail of the tenon, and the other end extends and is embedded in a pre-reserved groove at the front of the mortise, so that the alloy strips are linearly distributed along the insertion direction of the tenon. When changes in ambient humidity cause the humidity on the tenon side to rise to 40 degrees Celsius while the mortise side remains at 30 degrees Celsius, the humidity of the alloy strip on the tenon side exceeds the preset trigger threshold of 35 degrees Celsius, triggering thermal shrinkage deformation. The real-time temperature difference ΔT is calculated as 40-30=10 degrees Celsius. The deformation formula D = 0.01 mm / °C × 120 mm × 10°C / 5°C yields a positive displacement of 2.4 mm, which pushes the tenon 2.4 mm into the mortise to fill the expansion gap. When the humidity gradient reverses, causing the humidity on the mortise side to rise to 36°C while the humidity on the tenon side drops to 28°C, the temperature difference ΔT of the alloy strip on the mortise side is calculated to be 36 - 28 = 8°C, triggering a reverse displacement D = 0.01 × 120 × 8 / 5 = 1.92 mm, which pulls the tenon outward to reset by 1.92 mm to release shrinkage stress.

[0077] This solution utilizes the bidirectional deformation capability of shape memory alloy strips to achieve active displacement compensation and repositioning of mortise and tenon joints under temperature fluctuations. Based on dynamic calculations of material physical parameters and real-time temperature gradients, the deformation is precisely controlled, avoiding stress residue or displacement overload caused by unidirectional compensation. Combined with preset trigger thresholds and humidity gradient direction determination, it ensures that the deformation direction strictly matches the actual expansion / contraction trend, eliminating the loosening or jamming problem of mortise and tenon structures caused by temperature differences from the root, and significantly improving assembly accuracy and long-term environmental adaptability.

[0078] 103. Adjust the excitation state of the shape memory alloy component based on the real-time humidity fluctuation in the humidity change spectrum, so that the locking force output value and the preset material expansion difference threshold are kept in dynamic balance. At the same time, establish a mechanical limiting structure that is linked to the directional deformation displacement. When the shape memory alloy component reaches the maximum deformation, trigger the physical card to generate a displacement constraint signal.

[0079] Optionally, step 103 may specifically include the following steps:

[0080] 1031. A humidity response circuit is embedded in the shape memory alloy component to obtain the humidity fluctuation amplitude in the bonding area in real time, and the difference between the humidity fluctuation amplitude and a preset deformation trigger threshold is calculated.

[0081] 1032. When the humidity fluctuation amplitude exceeds the threshold, a corresponding current adjustment command is generated based on the difference result. The deformation rate of the memory alloy component is controlled by increasing or decreasing the energizing voltage, so that the deviation range between the actual locking force of the tenon joint surface and the preset material expansion difference threshold is compressed to the dynamic equilibrium range.

[0082] 1033. A limiting slider is provided inside the tenon, which is linked to the deformation direction of the memory alloy component. When the deformation of the memory alloy component due to the power supply reaches the maximum allowable value, the slider is pulled by the spring and slides into the preset limiting groove in the mortise, forming a mechanical limiting structure that physically locks and cuts the memory alloy component.

[0083] In the above scheme, the humidity response circuit refers to the circuit module embedded in the shape memory alloy component, which is used to monitor the humidity fluctuation amplitude of the bonding area in real time; the humidity fluctuation amplitude refers to the absolute difference between the real-time humidity and the reference humidity in the bonding area; the deformation trigger threshold refers to the preset temperature difference critical value, which is used to determine whether to trigger deformation adjustment; the current adjustment command refers to the voltage rise and fall control signal generated according to the temperature difference, which is used to adjust the deformation speed of the shape memory alloy; the dynamic balance range refers to the allowable deviation range between the locking force output value and the material expansion difference threshold; the limiting slider refers to the mechanical sliding component linked to the deformation direction of the shape memory alloy, which is used to physically limit the maximum displacement; the spring tension refers to the source of the elastic force that drives the slider to slide; the limiting groove refers to the pre-set locking structure on the side wall of the mortise, which is used to receive the slider and lock the position; the mechanical limiting structure refers to the physical blocking device composed of the slider and the groove.

[0084] In this embodiment of the application, firstly, a humidity response circuit is embedded in the shape memory alloy component through step 1031 to collect humidity data of each measurement point in the mortise and tenon joint area in real time and calculate the humidity fluctuation amplitude ΔT = T_instant - T_base. For example, when the base humidity T_base is 25 degrees Celsius and the instantaneous humidity T_instant is 32 degrees Celsius, the humidity fluctuation amplitude ΔT = 7 degrees Celsius. The difference between the humidity fluctuation amplitude ΔT and the preset deformation trigger threshold ΔT_threshold = 4 degrees Celsius is calculated to obtain the difference ΔT_diff = 3 degrees Celsius. It is determined that the current temperature difference fluctuation exceeds the threshold and compensation adjustment needs to be initiated. Secondly, in step 1032, based on the deviation of ΔT_diff = 3 degrees Celsius, a current adjustment command is generated using a PID algorithm. By increasing or decreasing the energizing voltage, the deformation rate of the shape memory alloy component is controlled, compressing the deviation range between the actual locking force of the tenon joint and the preset material expansion difference threshold into a dynamic equilibrium range. For example, the drive control unit increases the energizing voltage by 15%, accelerating the thermal deformation rate of the shape memory alloy component, increasing the actual locking force of the tenon joint from the initial 90N to 97N, and compressing the deviation ratio from the preset threshold of 100N from 10% to 3%, entering the dynamic equilibrium range; simultaneously, through step 103... 3. A limiting slider that is linked to the deformation direction is set inside the tenon. When the deformation of the shape memory alloy component reaches the preset maximum value D_max = 2 mm, for example, the deformed end pushes the slider to move 2 mm along the track. The slider slides into the limiting groove on the side wall of the mortise under the action of the spring tension. The wedge-shaped inclined surface of the groove contacts the locking tongue of the slider to form a physical self-lock, forcibly fixing the relative position of the tenon and mortise, and triggering the contact switch in the groove to generate a displacement constraint signal, immediately cutting off the power supply circuit of the shape memory alloy component, forming a physical locking and cutting off the mechanical limiting structure of the shape memory alloy component. For example, when D_max = 2 mm, the system triggers power-off locking to completely block the risk of excessive deformation.

[0085] In practical applications, a shape memory alloy component and a humidity response circuit are pre-embedded inside the joint surface of the tenon and mortise. When the ambient humidity rises from 20 degrees Celsius to 35 degrees Celsius, the humidity fluctuation amplitude ΔT = 15 degrees Celsius in the joint area exceeds the preset deformation trigger threshold ΔT_threshold = 5 degrees Celsius. The difference ΔT_diff = 10 degrees Celsius triggers a current adjustment command. The voltage is increased by 20% through a PID algorithm to accelerate the deformation of the shape memory alloy, pushing the tenon to move 1.8 mm into the mortise to compensate for the expansion gap. This increases the locking force from the initial 80N to 95N and approaches the preset threshold of 100N. When the deformation reaches the maximum value of 2 mm, the limiting slider inside the tenon slides into the limiting groove on the side wall of the mortise under the pull of the spring. The wedge-shaped surface of the groove and the locking tongue of the slider self-lock and fix the tenon and mortise position. At the same time, the contact switch cuts off the power supply circuit to prevent deformation overload. If the humidity drops back to 25 degrees Celsius, ΔT = 5 degrees Celsius does not reach the threshold. The system maintains a low voltage state to avoid excessive reset of the locking force.

[0086] This solution achieves adaptive matching between locking force output and material expansion difference threshold through real-time humidity fluctuation monitoring and dynamic electronic control adjustment, ensuring the accuracy and stability of deformation compensation of mortise and tenon joint surfaces; combined with the mechanical limit structure's hard locking and power-off protection at maximum deformation, it completely eliminates the risk of deformation runaway; the overall solution effectively maintains assembly accuracy in temperature fluctuation scenarios, improving the environmental adaptability and long-term reliability of modular wood.

[0087] 104. Associate and match the periodic humidity fluctuation data in the humidity change map with the environmental humidity change trend to generate a compensation correction coefficient for the diurnal humidity cycle, and dynamically correct and update the calculation benchmark of the expansion compensation parameter according to the compensation correction coefficient.

[0088] Optionally, step 104 may specifically include the following steps:

[0089] 1041. Extract the humidity fluctuation data for 24 consecutive hours from the humidity change map, and divide the humidity rising phase and the humidity falling phase into multiple time windows respectively;

[0090] 1042. Calculate the maximum, average and duration of the rate of change of humidity within each time window, and perform similarity matching with the diurnal humidity trend curve obtained by the environmental humidity monitoring device;

[0091] 1043. Based on the repeatability characteristics of the influence of day and night humidity on the mortise and tenon joint surface in the matching results, generate a humidity compensation correction coefficient based on the time window.

[0092] 1044. The compensation correction coefficient is divided into multiple sub-coefficients according to the diurnal cycle, and each sub-coefficient corresponds to the humidity influence weight of a specific time period;

[0093] 1045. When calculating the expansion compensation parameters, the humidity difference between adjacent coordinate points acquired in real time is multiplied by the sub-coefficient of the corresponding time period to obtain the corrected dynamic humidity difference.

[0094] 1046. Based on the corrected dynamic humidity difference, the compensation parameter generation process is re-executed, and a sliding time window mechanism is used to update the historical correction results in a rolling manner to ensure that the calculation benchmark is automatically adjusted with the long-term trend of environmental humidity.

[0095] In the above scheme, periodic humidity fluctuation data refers to humidity change data that exhibits a diurnal cycle in a continuous time series; time window refers to a data segment that divides the humidity rise or fall phase into fixed durations; humidity change rate refers to the magnitude of humidity increase or decrease per unit time; diurnal humidity trend curve refers to the 24-hour humidity change fitting curve obtained through environmental monitoring devices; repeatability characteristic refers to the regular pattern of diurnal humidity's influence on the deformation of the mortise and tenon joint surface; humidity compensation correction coefficient refers to the weighting factor generated based on the temperature difference trend matching result, used to correct the calculation benchmark of expansion parameters; sub-coefficient refers to the correction coefficient components split by time period, reflecting the weight differences of temperature difference influence in different time periods; dynamic humidity difference refers to the product of the real-time humidity difference and the corresponding time period sub-coefficient, used to compensate for dynamic parameter correction; sliding time window mechanism refers to the data processing method of updating historical data in chronological order to ensure that the calculation benchmark is adaptively adjusted with environmental trends.

[0096] In this embodiment of the application, firstly, humidity fluctuation data is extracted and time windows are divided through step 1041. Periodic humidity fluctuation data for 24 consecutive hours is extracted from the humidity change spectrum. The humidity rising phase and the falling phase are divided into multiple time windows with fixed durations. For example, 6:00-8:00 and 8:00-10:00 are divided into heating windows, and 18:00-20:00 and 20:00-22:00 are divided into cooling windows. Each window contains humidity sampling values ​​and corresponding timestamps, forming discrete humidity change data segments. Secondly, in step 1042, the humidity change rate is calculated and matched with the environmental trend. For the humidity data within each time window, the average and maximum humidity change rate per minute and its duration are calculated. For example, in a temperature rise window, the humidity rises from 20℃ to 26℃ over 120 minutes, with an average rate of 0.05℃ / minute and a maximum instantaneous rate of 0.2℃ / minute. The above parameters are then matched with the standard diurnal humidity trend curve obtained by the environmental monitoring device using dynamic time warping (DTW) similarity matching. For example, if the DTW distance of a window is 1.2, which is below the threshold of 2.0, the humidity trend of that window is determined to be highly consistent with the standard curve. Thirdly, in step 1043, a humidity compensation correction coefficient is generated. Based on the similarity matching results, repeatability influence characteristics are identified, and a compensation correction coefficient is assigned to each window. For example, a window with a DTW distance of 1.2 is assigned a coefficient of 1.2, and a window with a distance of 2.5 is assigned a coefficient of 0.8, making the compensation weight of highly similar periods greater. If a window shows a peak temperature rise rate every day from 10:00 to 12:00, it is marked as a critical period and assigned a coefficient of 1.5. Subsequently, step 1044 divides the coefficients into sub-coefficients, splitting the total correction coefficient within the 24-hour cycle into multiple sub-coefficients according to time periods. For example, the sub-coefficient for 6:00-8:00 is 1.1, and the sub-coefficient for 8:00-10:00 is 1.3. Each sub-coefficient is associated with the temperature difference influence weight of the corresponding time period to ensure that the compensation correction matches the time sensitivity. Next, step 1045 calculates the dynamic humidity difference. After obtaining the humidity difference ΔT_inst between adjacent coordinate points in real time, the sub-coefficient k_sub of the current time window is matched, and the corrected dynamic difference ΔT_dynamic = ΔT_inst × k_sub is calculated. For example, if the current time 9:30 belongs to the 8:00-10:00 window, k_sub = 1.3. If ΔT_inst = 5℃, then ΔT_dynamic = 6.5℃. Finally, the calculation baseline is updated in step 1046. Compensation parameters are regenerated based on the corrected ΔT_dynamic, and a sliding time window mechanism is used to retain the corrected data for the most recent N days in chronological order (e.g., retaining 30 days of data). The oldest day's data is removed daily, and the latest day's data is added. The correction coefficient is then recalculated to ensure that the calculation baseline automatically adjusts to seasonal or long-term climate changes. For example, during the transition from winter to spring, the system automatically reduces the weight of the correction coefficient for the nighttime cooling window.

[0097] In practical applications, after deploying a humidity monitoring system in the modular wooden mortise and tenon joint area, the system continuously collects periodic humidity data for 7 days. It extracts data from the daily warming phase (6:00-18:00) and the cooling phase (18:00-6:00 the next day). The warming phase is divided into three time windows: 6:00-8:00, 8:00-10:00, and 10:00-12:00. For example, if the humidity rises from 20℃ to 26℃ within the 6:00-8:00 window, the average warming rate is calculated to be 26-20 / 120 = 0.05℃ / minute, with a maximum instantaneous rate of 0.2℃ / minute. This window data is then matched with the standard diurnal trend curve of environmental monitoring using the Dynamic Time Warping (DTW) algorithm. The calculated alignment distance is 1.2, lower than the preset threshold of 2.0, indicating a high similarity between the window and the standard trend. Humidity is then allocated accordingly. The compensation correction coefficient is 1.2; the 24-hour cycle is divided into sub-coefficients, with the sub-coefficient k_sub = 1.2 for 6:00-8:00 and k_sub = 1.5 for 8:00-10:00; at 9:30 on the 8th day, the temperature difference ΔT_inst = 8℃ between adjacent coordinate points is detected in real time, and the sub-coefficient 1.5 of the 8:00-10:00 window to which the current time belongs is matched, and the dynamic temperature difference ΔT_dynamic = 8 × 1.5 = 12℃ is calculated. This is then substituted into the compensation parameter formula to generate the corrected expansion compensation amount; at the same time, the sliding time window mechanism automatically removes the data of the 1st day and recalculates the correction coefficient based on the data of the 2nd to 8th days. For example, in the 6:00-8:00 window, due to the slowdown in spring environmental warming, the DTW distance increases from 1.2 to 1.8, and the coefficient is adjusted from 1.2 to 1.0, so that the calculation benchmark is adaptively updated with the long-term trend.

[0098] This solution dynamically generates time-sensitive compensation correction coefficients by correlating diurnal periodic humidity fluctuations with long-term environmental trends, thus optimizing the adaptability of the expansion parameter calculation benchmark. Based on time window segmentation and trend matching algorithms, it captures the repetitive influence of diurnal humidity on the deformation of mortise and tenon joint surfaces, accurately allocating correction weights for different time periods. Combined with a sliding time window mechanism for rolling updates of historical data, it ensures that the compensation benchmark is continuously calibrated with seasonal or climatic evolution, avoiding the accumulation of parameter deviations caused by long-term environmental changes. The overall solution significantly improves the deformation compensation accuracy and assembly stability of mortise and tenon structures under diurnal cycles and long-term temperature fluctuation scenarios, solving the compensation failure problem caused by the inability of static parameter benchmarks to respond to dynamic environments in traditional methods.

[0099] 105. The real-time humidity fluctuation is converted into a current adjustment command through a closed-loop feedback mechanism. The current adjustment command dynamically adjusts the duration and intensity of the excitation state according to the displacement constraint signal, so that the assembly accuracy of the modular wooden mortise and tenon joint structure under temperature difference environment is maintained within the set range of the disassembly and assembly tolerance.

[0100] Optionally, step 105 may specifically include the following steps:

[0101] 1051. When the displacement constraint signal indicates that the displacement of the tenon and mortise joint exceeds the upper limit of the disassembly and assembly tolerance, the difference ratio between the current displacement and the upper limit of the tolerance is extracted, and the energizing duration is shortened proportionally; if the displacement is lower than the lower limit of the tolerance, a pulsed energizing sequence is generated according to the difference ratio, and the duration of each pulse decreases gradually as the displacement approaches the tolerance range.

[0102] 1052. Analyze the deformation direction and rate in the displacement constraint signal in real time. If the displacement continues to deviate from the tolerance center value due to the expansion of the temperature difference, increase the current amplitude according to the product coefficient of the deformation rate and the tolerance deviation. If the displacement returns to the tolerance center due to the reduction of the temperature difference, reduce the current amplitude according to the exponential decay model based on the reset speed.

[0103] 1053. After each power-on parameter adjustment, the latest displacement of the tenon and mortise joint surface is captured in real time by the displacement sensor. If the displacement still does not fall within the tolerance range, the difference between the current displacement and the tolerance boundary is recalculated, and the control parameters of the power-on duration and intensity are updated cyclically with the absolute value of the difference as the weight, until the displacement stabilizes within the set range.

[0104] In the above scheme, the closed-loop feedback mechanism refers to an automated control loop that monitors the displacement in real time and adjusts the current parameters in reverse; the displacement constraint signal refers to the tenon displacement and status signal generated after the mechanical limit structure is triggered; the difference ratio refers to the percentage of the absolute value of the deviation between the current displacement and the tolerance boundary to the tolerance range; the pulsed energizing sequence refers to the energizing mode that applies current in stages at fixed time intervals; the deformation rate refers to the change amplitude of the displacement per unit time; the tolerance deviation refers to the absolute value of the displacement deviating from the tolerance center value; the product coefficient refers to the linear combination weight of the deformation rate and the tolerance deviation; the exponential decay model refers to the control strategy in which the current amplitude decreases exponentially with time or reset speed; and the difference absolute value weight refers to the priority factor for parameter adjustment, which is the absolute value of the deviation between the current displacement and the tolerance boundary.

[0105] In this embodiment of the application, firstly, the displacement exceeding the limit scenario is processed through step 1051. When the displacement constraint signal indicates that the displacement of the tenon and mortise joint exceeds the upper limit of the disassembly and assembly tolerance, the difference ratio between the current displacement and the upper limit of the tolerance is extracted, and the energizing duration is shortened proportionally. For example, if the tolerance range is ±0.5mm and the current displacement is +0.7mm, the difference ratio is calculated as (0.7-0.5) / 1.0 = 20%, and the energizing duration is shortened proportionally to 80% of the original duration. If the displacement is lower than the lower limit of the tolerance, a pulsed energizing sequence is generated according to the difference ratio. The duration of each pulse decreases gradually as the displacement approaches the tolerance range. For example, if the displacement is lower than the lower limit of the tolerance (e.g., -0.6mm), the difference ratio is (0.5-(-0.6)) / 1.0 = 110%, and a pulsed energizing sequence is generated. The duration of each pulse is initially 10 seconds, and decreases gradually to 5 seconds as the displacement approaches the tolerance range (e.g., recovering from -0.6mm to -0.55mm). Secondly, the current amplitude is dynamically adjusted in step 1052, and the deformation direction and rate in the displacement constraint signal are analyzed in real time. If the displacement continues to deviate from the tolerance center value due to the increase in temperature difference, the current amplitude is increased according to the product coefficient of the deformation rate and the tolerance deviation. For example, if the displacement deviates from the tolerance center value at a rate of 0.1 mm / min due to the increase in temperature difference, and the current tolerance deviation is 0.3 mm, then the current amplitude increase ΔI = 0.1 × 0.3 × k (k is a preset coefficient, such as k = 10), that is, ΔI = 0.3 A. If the displacement returns to the tolerance center due to the decrease in temperature difference, the current amplitude is reduced according to the reset speed using an exponential decay model. For example, if the displacement returns to the tolerance center at a rate of 0.05 mm / min due to the decrease in temperature difference, the current amplitude is reduced using an exponential decay model, and the formula is I(t) = I_initial × e^(-λt), where λ is the decay rate. For example, when λ = 0.1 / s, the current decays by 10% per second. Finally, the control parameters are updated cyclically through step 1053. After each adjustment of the power-on parameters, the latest displacement of the tenon and mortise joint surface is captured in real time by the displacement sensor. If the displacement still does not fall within the tolerance range, such as the adjusted displacement being +0.52mm, which still exceeds the upper limit of 0.5mm, the absolute value weight of the difference between the current displacement and the tolerance boundary is recalculated as 0.52-0.5=0.02mm. The power-on duration is further shortened and the current amplitude is increased proportionally according to the corresponding weight. For example, if the power-on time is reduced to 90% of the original value, the current is increased by 0.02×k (k=15)=0.3A. The cycle is iterated until the displacement stabilizes within the preset range, such as ±0.5mm.

[0106] In practical applications, when the disassembly and assembly tolerance of the modular wooden mortise and tenon joint structure is set at ±0.5 mm, when the ambient humidity suddenly increases and causes the tenon to expand, the displacement sensor detects a displacement of +0.7 mm on the joint surface, which exceeds the upper limit of tolerance by 0.5 mm. First, based on the displacement over-limit difference ratio (0.7 mm - 0.5 mm) / 1.0 mm = 20%, the system shortens the energizing duration of the shape memory alloy component from the default 10 seconds to 8 seconds to reduce deformation energy input and suppress excessive expansion. Then, analyzing the displacement constraint signal reveals that the displacement is still increasing at a rate of 0.1 mm / min to 0.75 mm. The system calculates the current increase ΔI = 0.1 × 0.25 × 10 = 0.25 Amps using the product coefficient k = 10 of the deformation rate of 0.1 mm / min and the tolerance deviation of 0.25 mm. The current is increased from 2 Amps to 2.25 Amps to accelerate reverse compensation. After adjustment, the displacement recovers to 0.6 mm but still exceeds the limit. The system recalculates the absolute value weight of the difference at 0.1 mm, further increasing the current to 3.75 Amps with a weight value of 0.1 mm × adjustment coefficient 15 = 1.5 Amps, while simultaneously reducing the energizing time to 1.6 seconds. Finally, the displacement converges to 0.48 mm, stabilizing within the tolerance range. By gradually adjusting the energizing parameters through a closed-loop feedback mechanism, the displacement can be adaptively converged from exceeding the limit to within the tolerance.

[0107] This solution uses a closed-loop feedback mechanism to convert displacement over-limit signals into current control commands in real time, dynamically adjusting the duration and intensity of energization to ensure that the displacement of the mortise and tenon joint quickly converges to the tolerance range. By combining dynamic weight calculation of deformation rate and tolerance deviation with an exponential decay model, adaptive and refined control of current parameters is achieved. Through a cyclic iterative update mechanism, the accuracy deviation caused by environmental temperature fluctuations or material deformation lag is completely eliminated, ensuring the assembly accuracy and long-term stability of modular wood in complex temperature environments.

[0108] Figure 2 This application provides a scenario diagram of a modular wooden mortise and tenon structure assembly method system, as shown in the embodiments. Figure 2 As shown, a complete embodiment of steps 101-105 includes:

[0109] In this embodiment, in a modular wooden assembly scenario with significant day-night humidity, a 5×5×3 humidity sensor array is deployed at the mortise and tenon joint surface to monitor humidity distribution in real time. At midday, the humidity at the center point of the joint surface is detected to be 30 degrees Celsius, and the maximum temperature difference between adjacent points is 10 degrees Celsius. A compensation amount of 0.3 mm is generated on the right side through three-dimensional gradient calculation. The nickel-titanium shape memory alloy strip embedded in the tenon is 120 mm long and 2 mm in diameter. Due to the temperature difference of 8 degrees Celsius on the right side, positive deformation is triggered, pushing the tenon to the right by a theoretical deformation of 0.01×120×8 / 5=1.92 mm. The actual displacement is constrained to 0.6 mm by the mortise gap and exceeds the upper tolerance limit of 0.5 mm. The system triggers the mechanical limit slider to lock and cut off the power supply; based on 7 days of data analysis, the system allocates a correction coefficient of 1.5 for the midday period of 12:00-14:00, and the dynamic compensation amount is increased to 0.45 mm after correction for a real-time temperature difference of 10 degrees Celsius; the closed-loop feedback mechanism shortens the power-on time to 9 seconds according to the over-limit difference ratio of 10%, and increases the current to 2.1 Amperes based on the deformation rate of 0.05 mm per minute and the deviation of 0.1 mm. After secondary adjustment, the displacement converges to 0.48 mm and stabilizes within the tolerance range of ±0.5 mm, realizing precise control of the entire process of deformation compensation, limit blocking, trend correction and closed-loop convergence under temperature difference environment.

[0110] This solution employs a multi-step collaborative control system to achieve end-to-end deformation compensation and precision assurance for modular wooden mortise and tenon structures under complex temperature variations. Based on three-dimensional humidity gradient monitoring, it precisely locates expansion or contraction trends, driving bidirectional deformation of the shape memory alloy components to compensate for displacement deviations caused by temperature differences. A closed-loop feedback mechanism dynamically adjusts current parameters to suppress overload deformation and maintain dynamic balance of locking force. Mechanical limit rigid blocking and displacement constraint signal linkage provide dual assurance of assembly precision. Furthermore, it correlates with long-term environmental humidity trends to generate dynamic correction coefficients, adaptively optimizing the compensation benchmark and avoiding the accumulation of parameter deviations caused by seasonality or climate evolution. Finally, through iterative control of displacement over-limit signals and a tolerance convergence mechanism, it ensures that the displacement of the mortise and tenon joint surface remains stable within the allowable range of disassembly and assembly tolerances. The overall solution achieves high-precision deformation compensation, environmental adaptive adjustment, and long-term stability control under temperature fluctuations, providing systematic technical support for the reliability and environmental adaptability of modular wooden structures.

[0111] Figure 3 This application provides a schematic diagram of a modular wooden mortise and tenon structure assembly system, as shown in the embodiment. Figure 3 As shown, the system includes:

[0112] Calculation module 31 is used to acquire humidity distribution data of the tenon and mortise joint area and form a humidity change map containing spatial coordinates, and calculate and generate expansion compensation parameters based on the numerical differences of adjacent coordinate points in the humidity change map.

[0113] The execution module 32 is used to implant a shape memory alloy component at a preset position on the tenon and mortise joint surface. The shape memory alloy component generates a directional deformation displacement including a positive compensation displacement and a reverse reset displacement according to the humidity gradient direction in the expansion compensation parameters.

[0114] The generation module 33 is used to adjust the excitation state of the shape memory alloy component based on the real-time humidity fluctuation in the humidity change spectrum, so that the locking force output value and the preset material expansion difference threshold are kept in dynamic balance. At the same time, a mechanical limiting structure is established in conjunction with the directional deformation displacement. When the shape memory alloy component reaches the maximum deformation, the physical card is triggered to generate a displacement constraint signal.

[0115] The generation module 33 is further configured to correlate and match the periodic humidity fluctuation data in the humidity change map with the environmental humidity change trend, generate a compensation correction coefficient for the day and night humidity cycle, and dynamically correct and update the calculation benchmark of the expansion compensation parameter according to the compensation correction coefficient.

[0116] The adjustment module 34 is used to convert the real-time humidity fluctuation into a current adjustment command through a closed-loop feedback mechanism. The current adjustment command dynamically adjusts the duration and intensity of the excitation state according to the displacement constraint signal, so that the assembly accuracy of the modular wooden mortise and tenon joint structure under temperature difference environment is maintained within the set range of the disassembly and assembly tolerance.

[0117] Figure 3 The modular wooden mortise and tenon structure assembly system described above can perform... Figure 1 The implementation principle and technical effects of the modular wooden mortise and tenon structure assembly method described in the illustrated embodiment will not be repeated here. The specific methods by which each module and unit performs operations in the modular wooden mortise and tenon structure assembly system described in the above embodiments have been described in detail in the embodiments related to this method, and will not be elaborated upon here.

[0118] In one possible design, Figure 4 The modular wooden mortise and tenon structure assembly system of the illustrated embodiment can be implemented as a computing device, such as... Figure 4 As shown, the computing device may include a storage component 41 and a processing component 42;

[0119] The storage component 41 stores one or more computer instructions, wherein the one or more computer instructions are invoked and executed by the processing component 42.

[0120] The processing component 42 is used for the above Figure 1 The embodiment describes a modular wooden mortise and tenon structure assembly method.

[0121] The processing component 42 may include one or more processors to execute computer instructions to complete all or part of the steps in the above-described method. Alternatively, the processing component may be implemented as one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described method.

[0122] Storage component 41 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0123] Of course, computing devices may also include other components, such as input / output interfaces, display components, communication components, etc.

[0124] Input / output interfaces provide interfaces between processing components and peripheral interface modules, which can be output devices, input devices, etc.

[0125] The communication components are configured to facilitate wired or wireless communication between computing devices and other devices.

[0126] The computing device can be a physical device or an elastic computing host provided by a cloud computing platform. In this case, the computing device can refer to a cloud server, and the aforementioned processing components, storage components, etc., can be basic server resources rented or purchased from the cloud computing platform.

[0127] This application also provides a computer storage medium storing a computer program, which, when executed by a computer, can perform the above-described functions. Figure 1 The embodiment shown illustrates a modular wooden mortise and tenon structure assembly method.

[0128] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0129] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0130] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0131] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A modular wooden mortise and tenon structure assembly method, characterized in that, include: Obtain humidity distribution data of the tenon and mortise joint area and form a humidity change map containing spatial coordinates. Calculate and generate expansion compensation parameters based on the numerical differences between adjacent coordinate points in the humidity change map. A shape memory alloy component is implanted at a predetermined position on the mortise and tenon joint surface. The shape memory alloy component generates a directional deformation displacement including a positive compensation displacement and a reverse reset displacement according to the humidity gradient direction in the expansion compensation parameters. The excitation state of the shape memory alloy component is adjusted based on the real-time humidity fluctuation in the humidity change spectrum, so that the locking force output value and the preset material expansion difference threshold are kept in dynamic balance. At the same time, a mechanical limiting structure is established in conjunction with the directional deformation displacement. When the shape memory alloy component reaches the maximum deformation, the physical card is triggered to generate a displacement constraint signal. The periodic humidity fluctuation data in the humidity change map is correlated and matched with the environmental humidity change trend to generate a compensation correction coefficient for the diurnal humidity cycle. The calculation benchmark of the expansion compensation parameter is dynamically corrected and updated according to the compensation correction coefficient. The real-time humidity fluctuation is converted into a current adjustment command through a closed-loop feedback mechanism. The current adjustment command dynamically adjusts the duration and intensity of the excitation state according to the displacement constraint signal, so that the assembly accuracy of the modular wooden mortise and tenon joint structure under temperature difference environment is maintained within the set range of the disassembly and assembly tolerance. The step of calculating and generating expansion compensation parameters based on the numerical differences between adjacent coordinate points in the humidity change map includes: Multiple consecutive humidity measurement points are selected within the joint area. Taking each measurement point as the center, the humidity values ​​of adjacent measurement points are compared layer by layer along the three-dimensional spatial extension direction of the contact surface between the tenon and the mortise. Based on the continuous direction of humidity increase or decrease in the comparison results, determine the local expansion or contraction trend of the mortise and tenon joint material; For each measurement point, the sum of the absolute values ​​of the humidity differences with at least three adjacent measurement points is calculated, and the sum of the absolute values ​​is associated with the corresponding compensation amount in the preset temperature difference-deformation mapping table to obtain the compensation parameter value of the area where each measurement point is located. Regional clustering is performed on the compensation parameter values ​​of all measurement points within the same joint surface. After removing isolated points, expansion compensation parameters covering the entire joint surface are generated. The method of adjusting the excitation state of the shape memory alloy component based on the real-time humidity fluctuation in the humidity change spectrum, so that the locking force output value and the preset material expansion difference threshold are dynamically balanced, and simultaneously establishing a mechanical limiting structure linked to the directional deformation displacement, includes: A humidity response circuit is embedded in the shape memory alloy component to acquire the humidity fluctuation amplitude in the bonding area in real time, and to calculate the difference between the humidity fluctuation amplitude and a preset deformation trigger threshold. When the humidity fluctuation amplitude exceeds the threshold, a corresponding current adjustment command is generated based on the difference result. The deformation rate of the memory alloy component is controlled by increasing or decreasing the energizing voltage, so that the deviation range between the actual locking force of the tenon joint surface and the preset material expansion difference threshold is compressed to the dynamic equilibrium range. A limiting slider that is linked to the deformation direction of the shape memory alloy component is set inside the tenon. When the deformation of the shape memory alloy component caused by the power supply reaches the maximum allowable value, the slider slides into the preset limiting groove in the mortise under the action of the spring force, forming a mechanical limiting structure that physically locks and cuts the shape memory alloy component.

2. The method according to claim 1, characterized in that, The current regulation command dynamically adjusts the duration and intensity of the excitation state based on the displacement constraint signal, so that the assembly accuracy of the modular wooden mortise and tenon joint structure is maintained within the allowable range of disassembly and assembly tolerances under temperature difference conditions, including: When the displacement constraint signal indicates that the displacement of the tenon and mortise joint exceeds the upper limit of the disassembly and assembly tolerance, the difference ratio between the current displacement and the upper limit of the tolerance is extracted, and the energizing duration is shortened proportionally; if the displacement is lower than the lower limit of the tolerance, a pulsed energizing sequence is generated according to the difference ratio, and the duration of each pulse decreases gradually as the displacement approaches the tolerance range. The deformation direction and rate in the displacement constraint signal are analyzed in real time. If the displacement continues to deviate from the tolerance center value due to the expansion of the temperature difference, the current amplitude is increased according to the product coefficient of the deformation rate and the tolerance deviation. If the displacement returns to the tolerance center due to the reduction of the temperature difference, the current amplitude is reduced according to the exponential decay model based on the reset speed. After each power-on parameter adjustment, the latest displacement of the mortise and tenon joint surface is captured in real time by the displacement sensor. If the displacement still does not fall within the tolerance range, the difference between the current displacement and the tolerance boundary is recalculated, and the control parameters of the power-on duration and intensity are updated cyclically with the absolute value of the difference as the weight, until the displacement stabilizes within the set range.

3. The method according to claim 1, characterized in that, The shape memory alloy assembly generates directional deformation displacement, including positive compensation displacement and reverse reset displacement, according to the humidity gradient direction in the expansion compensation parameters, including: At least one set of shape memory alloy strips with bidirectional deformation capability are provided inside the joint surface of the tenon and the mortise. The shape memory alloy strips are distributed along the tenon and mortise joint direction and are fixed at both ends to the inside of the tenon and the side wall of the mortise, respectively. When the humidity gradient direction in the joint area is from the tenon to the mortise, the end of the shape memory alloy strip fixed to the tenon is heated and triggered to undergo positive deformation displacement, pushing the tenon to move into the mortise to compensate for the expansion gap; when the humidity gradient direction is reversed, the end of the shape memory alloy strip fixed to the mortise is triggered to undergo reverse deformation displacement, pulling the tenon back to its original position to eliminate shrinkage stress. The displacement of forward and reverse deformation is controlled by the length and diameter of the shape memory alloy strip and the preset temperature difference trigger threshold.

4. The method according to claim 1, characterized in that, The periodic humidity fluctuation data in the humidity change map are correlated and matched with the environmental humidity change trend to generate compensation correction coefficients for the diurnal humidity cycle, including: Extract the humidity fluctuation data for 24 consecutive hours from the humidity change map, and divide the humidity rising phase and the humidity falling phase into multiple time windows respectively; Calculate the maximum, average, and duration of the rate of humidity change within each time window, and perform similarity matching with the diurnal humidity trend curve obtained by the environmental humidity monitoring device; Based on the repeatability of the influence of day and night humidity on the mortise and tenon joint surface in the matching results, a humidity compensation correction coefficient based on a time window is generated.

5. The method according to claim 1, characterized in that, The calculation basis for the expansion compensation parameters is dynamically updated based on the compensation correction coefficient, including: The compensation correction coefficient is divided into multiple sub-coefficients according to the day-night cycle, and each sub-coefficient corresponds to the humidity influence weight for a specific time period; When calculating the expansion compensation parameters, the humidity difference between adjacent coordinate points acquired in real time is multiplied by the sub-coefficient of the corresponding time period to obtain the corrected dynamic humidity difference. The compensation parameter generation process is re-executed based on the corrected dynamic humidity difference, and a sliding time window mechanism is used to update the historical correction results in a rolling manner to ensure that the calculation benchmark is automatically adjusted with the long-term trend of environmental humidity.

6. A modular wooden mortise and tenon structure assembly system, applied to the modular wooden mortise and tenon structure assembly method described in claim 1, characterized in that, include: Obtain humidity distribution data of the tenon and mortise joint area and form a humidity change map containing spatial coordinates. Calculate and generate expansion compensation parameters based on the numerical differences between adjacent coordinate points in the humidity change map. A shape memory alloy component is implanted at a predetermined position on the mortise and tenon joint surface. The shape memory alloy component generates a directional deformation displacement including a positive compensation displacement and a reverse reset displacement according to the humidity gradient direction in the expansion compensation parameters. The excitation state of the shape memory alloy component is adjusted based on the real-time humidity fluctuation in the humidity change spectrum, so that the locking force output value and the preset material expansion difference threshold are kept in dynamic balance. At the same time, a mechanical limiting structure is established in conjunction with the directional deformation displacement. When the shape memory alloy component reaches the maximum deformation, the physical card is triggered to generate a displacement constraint signal. The periodic humidity fluctuation data in the humidity change map is correlated and matched with the environmental humidity change trend to generate a compensation correction coefficient for the diurnal humidity cycle. The calculation benchmark of the expansion compensation parameter is dynamically corrected and updated according to the compensation correction coefficient. The real-time humidity fluctuation is converted into a current adjustment command through a closed-loop feedback mechanism. The current adjustment command dynamically adjusts the duration and intensity of the excitation state according to the displacement constraint signal, so that the assembly accuracy of the modular wooden mortise and tenon joint structure under temperature difference environment is maintained within the set range of the disassembly and assembly tolerance. The step of calculating and generating expansion compensation parameters based on the numerical differences between adjacent coordinate points in the humidity change map includes: Multiple consecutive humidity measurement points are selected within the joint area. Taking each measurement point as the center, the humidity values ​​of adjacent measurement points are compared layer by layer along the three-dimensional spatial extension direction of the contact surface between the tenon and the mortise. Based on the continuous direction of humidity increase or decrease in the comparison results, determine the local expansion or contraction trend of the mortise and tenon joint material; For each measurement point, the sum of the absolute values ​​of the humidity differences with at least three adjacent measurement points is calculated, and the sum of the absolute values ​​is associated with the corresponding compensation amount in the preset temperature difference-deformation mapping table to obtain the compensation parameter value of the area where each measurement point is located. Regional clustering is performed on the compensation parameter values ​​of all measurement points within the same joint surface. After removing isolated points, expansion compensation parameters covering the entire joint surface are generated. The method of adjusting the excitation state of the shape memory alloy component based on the real-time humidity fluctuation in the humidity change spectrum, so that the locking force output value and the preset material expansion difference threshold are dynamically balanced, and simultaneously establishing a mechanical limiting structure linked to the directional deformation displacement, includes: A humidity response circuit is embedded in the shape memory alloy component to acquire the humidity fluctuation amplitude in the bonding area in real time, and to calculate the difference between the humidity fluctuation amplitude and a preset deformation trigger threshold. When the humidity fluctuation amplitude exceeds the threshold, a corresponding current adjustment command is generated based on the difference result. The deformation rate of the memory alloy component is controlled by increasing or decreasing the energizing voltage, so that the deviation range between the actual locking force of the tenon joint surface and the preset material expansion difference threshold is compressed to the dynamic equilibrium range. A limiting slider that is linked to the deformation direction of the shape memory alloy component is set inside the tenon. When the deformation of the shape memory alloy component caused by the power supply reaches the maximum allowable value, the slider slides into the preset limiting groove in the mortise under the action of the spring force, forming a mechanical limiting structure that physically locks and cuts the shape memory alloy component.

7. A computing device, characterized in that, It includes a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are invoked and executed by the processing component to implement a modular wooden mortise and tenon structure assembly method as described in any one of claims 1 to 5.

8. A computer storage medium, characterized in that, The device contains a computer program that, when executed by a computer, implements a modular wooden mortise and tenon structure assembly method as described in any one of claims 1 to 5.

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