Bamboo press pressure optimization adjusting method and system based on intelligent control

Abstract

The invention discloses a bamboo press pressure optimization adjustment method and system based on intelligent control, and relates to the technical field of bamboo presses, and the method comprises the following steps: obtaining bamboo data and operation data during the operation of a bamboo press; according to the bamboo data and the operation data, a bamboo press pressure optimization adjustment model is constructed based on machine learning, and an adjustment evaluation coefficient is obtained; drawing a pressure-adjustment curve graph according to the adjustment evaluation coefficient and a simulation pressure curve corresponding to standard bamboo characteristics in a preset bamboo characteristic database; analyzing according to the pressure-adjustment curve graph to obtain an optimal pressure value, and applying the optimal pressure value to current bamboo pressing; and through a closed-loop feedback mechanism, the pressure sensor continuously feeds back the adjusted pressure value, and real-time comparison adjustment is carried out until the deviation between the actual pressure and the optimal pressure value is within a preset range. By means of the highly-automatic adjusting mode, manual intervention is reduced, the operation difficulty and cost are reduced, and the production efficiency and safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of bamboo presses, and more specifically, to a bamboo press pressure optimization adjustment method and system based on intelligent control. Background Art

[0002] Bamboo is widely used in furniture manufacturing, architectural decoration, and handicraft processing due to its rapid growth, renewable nature, and high strength. As a key piece of equipment in bamboo processing, bamboo presses are responsible for pressing bamboo pieces into shape. The pressure control accuracy and stability are directly related to product quality and production efficiency.

[0003] The pressure adjustment of traditional bamboo presses mostly relies on manual experience. Operators manually adjust the pressure parameters of the presses based on visual observation and past experience. This method has significant disadvantages. On the one hand, manual judgment is prone to deviations. Different operators have different understandings of the bamboo state and finished product requirements, resulting in uneven quality of pressed products and a high defective rate. On the other hand, manual operation cannot respond to changes in the physical properties of bamboo during the pressing process in a timely manner. Once the moisture content and density of the bamboo fluctuate, it is difficult to accurately control the pressure, which affects key indicators such as the bonding strength and flatness of the board.

[0004] With the rise of smart manufacturing, the transformation of factories to automation and intelligence is imminent. Consumers have increasingly stringent requirements for the quality and consistency of bamboo products, and traditional adjustment methods can no longer meet the demands for large-scale, high-quality production. Furthermore, energy consumption is also a pain point in the industry, and unreasonable pressure settings will cause a lot of energy waste. Therefore, it is urgent to introduce intelligent control technology, relying on sensors to collect data in real time and intelligent algorithms for in-depth analysis, to achieve dynamic, precise, and optimized adjustment of the bamboo press pressure, improve product quality, reduce energy consumption, and comply with the general trend of industrial upgrading.

[0005] The above-disclosed technical solution has at least the following technical problems: manual judgment is highly subjective, and different workers have different understandings of the requirements for bamboo pressing, resulting in large fluctuations in pressure parameters of the same product. The pressed bamboo boards have significant differences in bonding strength, density uniformity and flatness, and the defective rate remains high, increasing production costs and material waste.

[0006] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0007] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a bamboo press pressure optimization and adjustment method and system based on intelligent control. By acquiring bamboo material data and operation data in real time and combining machine learning technology to construct a pressure optimization and adjustment model, the highly automated adjustment method not only reduces manual intervention, reduces operating difficulty and cost, but also improves production efficiency and safety, so as to solve the problems raised in the above-mentioned background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] The method for optimizing and adjusting the pressure of a bamboo press based on intelligent control comprises the following steps: obtaining bamboo material data and operation data when the bamboo press is in operation; constructing a bamboo press pressure optimization and adjustment model based on machine learning according to the bamboo material data and the operation data to obtain an adjustment evaluation coefficient; drawing a pressure-adjustment curve diagram according to the adjustment evaluation coefficient and a simulated pressure curve corresponding to standard bamboo material characteristics in a preset bamboo material characteristic database; obtaining an optimal pressure value according to the pressure-adjustment curve diagram analysis, and applying it to the current bamboo material pressing; and through a closed-loop feedback mechanism, the pressure sensor continuously feeds back the adjusted pressure value, and compares and adjusts in real time until the deviation between the actual pressure and the optimal pressure value is within a preset range.

[0010] In a preferred embodiment, the bamboo material data includes a bamboo material property influence coefficient, and the operation data includes a state influence coefficient and a temperature influence coefficient; the specific method for obtaining the bamboo material property influence coefficient is as follows: real-time acquisition of the moisture content, density, thickness, bamboo age and size of the bamboo to be pressed; obtaining the flatness based on the fitting curve equation according to the density and thickness of the bamboo; calculating the influence index through variance analysis according to the moisture content and size of the bamboo; obtaining the bamboo material property influence coefficient through a multivariate linear regression model based on the flatness and the influence index combined with the bamboo age.

[0011] In a preferred embodiment, the specific method for obtaining the state influence coefficient is as follows: select bamboo materials with different characteristics including different moisture content, density and thickness; place the bamboo materials on the bamboo press in sequence for pressing operation, and collect the operation data of the bamboo press during the entire pressing process; draw a dynamic change curve based on the operation data, and record the pressure speed at each moment; monitor and capture the pressure peak in real time to obtain the number of times the bamboo press reaches the maximum pressure limit; obtain the deviation data between the average value of the actual pressure value and the set value as the pressure accuracy; obtain the state influence coefficient according to the pressure accuracy, the pressure speed, the number of maximum pressure limits and the time required to achieve the ideal compaction effect.

[0012] In a preferred embodiment, the specific method for obtaining the temperature influence coefficient is as follows: obtain the ambient temperature of the bamboo processing workshop and the hydraulic oil temperature of the bamboo press within time t; obtain the viscosity coefficient of the hydraulic oil based on heat exchange according to the temperature difference between the hydraulic oil temperature and the ambient temperature; use the ratio of the hydraulic oil temperature to the viscosity coefficient of the hydraulic oil as the transfer efficiency; and obtain the temperature influence coefficient based on the transfer efficiency combined with the pressure deviation based on a preset temperature influence coefficient calculation formula.

[0013] In a preferred embodiment, the pressure-adjustment curve diagram is drawn according to the adjustment evaluation coefficient and the simulated pressure curve corresponding to the standard bamboo material characteristics in the preset bamboo material characteristic database, specifically: the adjustment evaluation coefficient under different pressures is obtained through the bamboo press pressure optimization regulation model; the simulated pressure curve data corresponding to the standard bamboo material characteristics are called out from the preset bamboo material characteristic database; a rectangular coordinate system is established, with the horizontal axis representing the adjustment evaluation coefficient and the vertical axis representing the pressure value; according to the extracted simulated pressure curve data corresponding to the standard bamboo material characteristics, each data point is connected in sequence on a set coordinate plane to obtain a pressure-adjustment curve diagram.

[0014] In a preferred embodiment, the optimal pressure value is obtained by analyzing the pressure-adjustment curve diagram, specifically, observing the pressure-adjustment curve diagram, and taking the ordinate of the point where the concavity and convexity of the curve changes as the optimal pressure value.

[0015] In a preferred embodiment, a pressure buffer mechanism is added in the real-time comparison and adjustment. When the adjustment instruction requires a sharp change in pressure, the actuator adjusts the pressure in a step-by-step and gradual manner to avoid damage to the bamboo fiber structure due to sudden changes in pressure, thereby ensuring a smooth and orderly bamboo pressing process.

[0016] The technical effects and advantages of the bamboo press pressure optimization adjustment method and system based on intelligent control of the present invention are as follows:

[0017] 1. The present invention acquires bamboo data and operation data in real time through this method, and constructs a pressure optimization adjustment model in combination with machine learning technology, so as to accurately calculate the adjustment evaluation coefficient. Furthermore, a pressure-adjustment curve is drawn using the simulated pressure curve corresponding to the coefficient and the standard bamboo characteristics, so as to accurately analyze the optimal pressure value. This precise pressure regulation not only improves the efficiency of bamboo pressing, but also ensures the stability of the pressing process and the consistency of product quality. Through the closed-loop feedback mechanism, the pressure sensor can continuously feedback the adjusted pressure value, and perform real-time comparison and adjustment, so that the deviation between the actual pressure and the optimal pressure value is always kept within the preset range, thereby achieving efficient optimization.

[0018] 2. The present invention realizes the automatic regulation and optimization of the bamboo press pressure by making full use of the advantages of intelligent control and machine learning technology. From the acquisition and processing of bamboo data, to the construction of the pressure optimization regulation model, to the determination and real-time adjustment of the optimal pressure value, the entire process realizes intelligent operation. This highly automated regulation method not only reduces manual intervention, reduces the difficulty and cost of operation, but also improves production efficiency and safety. At the same time, the added pressure buffer mechanism can also effectively avoid the problem of damage to the bamboo fiber structure due to sudden changes in instantaneous pressure, further improving the quality of the product and the stability of production. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a structural schematic diagram of the bamboo press pressure optimization adjustment method based on intelligent control of the present invention.

[0020] Figure 2 It is a schematic diagram of the structure of the bamboo press pressure optimization and adjustment system based on intelligent control of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Embodiment 1, Figure 1 The invention provides a bamboo press pressure optimization adjustment method based on intelligent control, which includes the following steps:

[0023] Obtain bamboo material data and operation data of the bamboo press when it is running;

[0024] According to the bamboo material data and operation data, a bamboo press pressure optimization adjustment model was constructed based on machine learning to obtain the adjustment evaluation coefficient;

[0025] Draw a pressure-adjustment curve diagram according to the adjustment evaluation coefficient and the simulated pressure curve corresponding to the standard bamboo material characteristics in the preset bamboo material characteristic database;

[0026] The optimal pressure value is obtained by analyzing the pressure-adjustment curve diagram and applied to the current bamboo pressing;

[0027] Through a closed-loop feedback mechanism, the pressure sensor continuously feeds back the adjusted pressure value, and makes real-time comparisons and adjustments until the deviation between the actual pressure and the optimal pressure value is within a preset range.

[0028] S1, obtaining bamboo material data and operation data of the bamboo press during operation;

[0029] The bamboo material data and the press operation parameters are collected in real time by installing multiple sensors at key positions of the bamboo press, wherein the sensors include at least a pressure sensor, a moisture content sensor, and a temperature sensor. The pressure sensor is used to obtain the real-time pressure value, the moisture content sensor is used to measure the moisture content of the bamboo material, and the temperature sensor is used to monitor the temperature of the bamboo material and the press working environment;

[0030] The bamboo material data includes bamboo material characteristic influence coefficient, and the operation data includes state influence coefficient and temperature influence coefficient;

[0031] Bamboo material characteristics influence coefficient The bamboo material characteristics influence coefficient is a set of coefficients used to measure the influence of various bamboo material characteristics on the pressure adjustment of the bamboo press. It comprehensively considers factors such as the moisture content, density, thickness, etc. of the bamboo material. In the process of pressure adjustment, these coefficients can help accurately determine the amplitude and method of pressure adjustment.

[0032] The coefficients of bamboo material characteristics need to be dynamically updated according to the actual situation. With the change of bamboo material sources, the improvement of processing technology or the difference of product requirements, the characteristics of bamboo and its influence on pressure regulation will also change. For example, when a new bamboo species is introduced or a new bamboo pretreatment method is adopted, the experiment needs to be re-performed to calibrate the coefficients.

[0033] At the same time, the coefficient of bamboo material characteristics also has a certain adaptability. It can be adjusted according to the performance of different bamboo press equipment and different types of pressed products. For example, for the pressing of bamboo handicrafts with high precision requirements, the accuracy and sensitivity of the coefficient may need to be higher to ensure that the pressure adjustment can meet the needs of fine processing; while for the pressing of some bamboo packaging materials with relatively low pressure accuracy requirements, the coefficient can be appropriately simplified to improve production efficiency while ensuring basic quality.

[0034] The specific method for obtaining the bamboo material characteristic influence coefficient is as follows:

[0035] Obtain the moisture content, density, thickness, bamboo age and size of the bamboo material to be pressed in real time;

[0036] The flatness is obtained based on the fitting curve equation according to the density and thickness of the bamboo;

[0037] According to the moisture content and size of bamboo, the influence index was calculated by variance analysis;

[0038] The influence coefficient of bamboo characteristics was obtained by combining flatness and influence index with bamboo age through a multivariate linear regression model.

[0039] The specific calculation formula of the bamboo material characteristic influence coefficient is:

[0040]

[0041] Among them, α is the influence coefficient of bamboo characteristics, ρ is the density of bamboo, hd is the thickness of bamboo, t is the age of bamboo, hs is the moisture content of bamboo, and C is the size of bamboo.

[0042] The bamboo material characteristics influence coefficient has the following benefits in optimizing the pressure of bamboo press:

[0043] Precise pressure control: The bamboo material characteristic influence coefficient can accurately calculate the required pressure value according to the specific characteristics of the bamboo material, such as moisture content, density, thickness and other factors. For example, for high-density bamboo, the bamboo material characteristic influence coefficient can determine that a higher pressure is required than for low-density bamboo, thereby achieving personalized pressure adjustment and avoiding the problem of one-size-fits-all pressure setting due to differences in bamboo materials in traditional adjustment methods.

[0044] Improve product quality consistency: During bamboo processing, product quality is prone to fluctuations due to differences in the characteristics of raw materials. The application of bamboo property influence coefficients can ensure that the pressure can be accurately adjusted to the appropriate level under different bamboo properties, so that the pressed bamboo products are highly consistent in density, strength and flatness. For example, when producing bamboo flooring, using this coefficient can ensure that the quality of each piece of bamboo flooring can meet stable standards and reduce the defective rate.

[0045] Improve production efficiency: The pressure adjustment of traditional bamboo presses often requires operators to repeatedly adjust according to experience, especially when facing bamboo materials with different characteristics, the adjustment process takes a long time. The bamboo material characteristic influence coefficient provides a clear quantitative basis for pressure adjustment. Operators can quickly set the pressure value according to the coefficient calculation, which greatly shortens the adjustment time. For example, after changing the batch of bamboo materials, you only need to measure the characteristic parameters of the new bamboo materials and substitute them into the coefficient formula to quickly get the appropriate pressure setting, which improves the continuity of production.

[0046] Optimize the pressing process: Through the influence coefficient of bamboo material characteristics, the optimal pressure change curve of different bamboo materials during the pressing process can be determined in advance. This helps to reasonably arrange parameters such as pressing speed and holding time, making the entire pressing process more scientific and efficient. For example, for thicker bamboo, the appropriate pressing speed and longer holding time can be determined according to the coefficient to ensure that the inside and outside of the bamboo can be fully compacted, while avoiding repeated processing due to over-pressing or under-pressing.

[0047] Energy saving and cost reduction: Without considering the coefficient of bamboo characteristics, in order to ensure that the bamboo can be compacted, a higher pressure may be used for compaction. The coefficient of bamboo characteristics can accurately adjust the pressure according to the actual situation of the bamboo, avoiding excessive pressure. Excessive pressure not only consumes more energy, but may also cause additional wear and tear on the equipment. For example, for bamboo with a high moisture content, a certain compaction effect can be achieved without excessive pressure. The pressure setting can be lowered by adjusting the coefficient, thereby reducing energy consumption.

[0048] Extending the service life of equipment: Reasonable pressure regulation can reduce the load fluctuation of the bamboo press during operation and reduce the mechanical stress of the equipment. When the pressure is optimized and adjusted according to the characteristics of bamboo, the degree of wear of the equipment will be reduced accordingly, reducing the frequency of equipment maintenance and replacement of parts, thereby reducing production costs. For example, avoiding frequent high-pressure operation of the hydraulic system due to excessive pressure can extend the service life of key components such as hydraulic pumps and hydraulic cylinders.

[0049] Adapt to various processing needs: Bamboo has different requirements for its physical properties in different application scenarios. The bamboo characteristics influence coefficient can be adjusted flexibly according to the specific needs of the product. For example, bamboo used for building structures requires higher strength, while bamboo used for handicrafts may pay more attention to shape and surface quality. In this way, a variety of bamboo products with different quality requirements can be processed on the same bamboo press, improving the versatility and economy of the equipment.

[0050] Coping with changes in bamboo properties: With the diversification of bamboo sources and the development of bamboo processing technology, the properties of bamboo may change. The bamboo property influence coefficient can be adjusted in time according to these changes to ensure that the pressure regulation always adapts to the new bamboo properties. For example, when a new bamboo species is introduced or a new bamboo pretreatment method is adopted, the bamboo press can continue to effectively regulate the pressure for the changed bamboo by re-evaluating the bamboo property influence coefficient.

[0051] The condition influence coefficient is used to evaluate the overall performance and stability of the bamboo press in working condition. This coefficient is affected by many factors, including but not limited to the mechanical properties of the press, maintenance status, frequency of use, working environment, etc. When the press has superior performance, good maintenance, moderate frequency of use and suitable working environment, its condition influence coefficient is high, indicating that the press can work stably and efficiently. On the contrary, if the press has mechanical failure, lack of maintenance, excessive use or poor working environment, its condition influence coefficient will be reduced, which may lead to problems such as reduced production efficiency and unstable product quality. Therefore, regular maintenance and care of the bamboo press to ensure that it is in optimal working condition is crucial to improving production efficiency and product quality.

[0052] The specific method for obtaining the state influence coefficient is as follows:

[0053] The selection characteristics include bamboo with different moisture content, density and thickness;

[0054] Place the bamboo materials on the bamboo press in sequence for pressing, and collect the operation data of the bamboo press during the whole pressing process;

[0055] Draw a dynamic change curve based on the operating data and record the pressure speed at every moment;

[0056] Real-time monitoring and capture of pressure peaks to obtain the number of times the bamboo press reaches the maximum pressure limit;

[0057] Obtain the deviation data between the average value of the actual pressure value and the set value as the pressure accuracy;

[0058] The state influence coefficient is obtained based on the pressure accuracy, pressure speed, the number of maximum pressure limits and the time required to achieve the ideal compaction effect.

[0059] The specific calculation formula of the pressure accuracy is:

[0060]

[0061] The specific calculation formula of the state influence coefficient is:

[0062]

[0063] Among them, P acc is the pressure accuracy, n is the n sets of actual pressure values ​​collected, p i is the ith actual pressure value, P 设定 is the set pressure value, β is the state influence coefficient, h is the number of times the maximum pressure limit is reached, v is the pressure speed of the bamboo press, F max is the maximum pressure limit, and t is the time required to achieve the ideal compaction effect.

[0064] The state influence coefficient has the following benefits in optimizing the pressure regulation of bamboo presses:

[0065] Improve production efficiency: In the past, operators had to rely on experience to adjust the pressure of bamboo presses, which was time-consuming and laborious. Now, with the state influence coefficient, referring to the characteristics of bamboo and the past operation data of the equipment, the initial pressure can be accurately set in one step, which greatly reduces the debugging time, speeds up the production process, and improves the overall output efficiency.

[0066] Optimize the pressing rhythm: Reasonable pressing speed is the key to efficient production. The state influence coefficient clearly gives the optimal pressing speed for different bamboo materials. It can avoid the breakage of bamboo fibers caused by too fast pressing, which affects the strength of the finished product; it can also prevent the speed from being too slow, which slows down the production progress, making the pressing process orderly and producing more high-quality bamboo products per unit time.

[0067] Extend equipment life: By monitoring the number of times the maximum pressure limit is reached, the state impact coefficient acts as a "safety valve" to alert operators to the upper pressure limit of the equipment at all times. Once the threshold is approached or reached, the pressure strategy is adjusted in time to prevent damage to the hydraulic system and excessive wear of mechanical parts due to overload, effectively maintaining the mechanical integrity of the bamboo press and reducing equipment failures and maintenance frequency.

[0068] Stable operating conditions: The pressure accuracy index is integrated into the state influence coefficient, which makes the pressure fluctuation of the bamboo press extremely small during operation. The stable pressure environment is not only conducive to the uniform pressure of the bamboo, but also reduces the impact caused by frequent start-up and stop of the equipment and sudden pressure changes, alleviates mechanical fatigue, prolongs the overall service life of the equipment, and reduces the cost of equipment renewal for enterprises.

[0069] Guarantee product quality stability: No matter how changeable the bamboo characteristics are or how the bamboo press working conditions fluctuate, the pressure can be precisely controlled by the state influence coefficient, so that each batch of bamboo products maintains high consistency in key indicators such as density, flatness, and strength. This is especially important for large-scale production products such as bamboo floors and bamboo furniture, which can greatly reduce the defective rate and improve the overall product qualification rate.

[0070] Adapt to diverse needs: Bamboo has a wide range of uses, and different products have different requirements for its physical properties. The state influence coefficient can flexibly adjust the pressure to meet diverse production demands. When making fine bamboo handicrafts, it can carve details with high-precision pressure; when producing bamboo for construction, it can enhance the compaction effect, improve the bearing capacity, and broaden the market adaptability of bamboo products.

[0071] The temperature influence coefficient is a parameter used to measure the degree of influence of temperature changes on the pressure regulation of the bamboo press. Temperature changes will affect the working performance of the bamboo press itself. For example, in a high temperature environment, the viscosity of the hydraulic oil decreases, which will cause the pressure transmission efficiency of the hydraulic system to change, causing the actual pressure output to deviate from the expected pressure. The temperature influence coefficient can be used to quantify the impact of this temperature change on pressure regulation. When optimizing the pressure of the bamboo press, the pressure setting value can be adjusted in a timely and accurate manner based on the temperature influence coefficient and the actual temperature changes, ensuring that the bamboo can get the appropriate pressure in different temperature environments, thereby ensuring product quality and pressing efficiency.

[0072] The specific method for obtaining the temperature influence coefficient is as follows:

[0073] Obtain the ambient temperature of the bamboo processing workshop and the hydraulic oil temperature of the bamboo press within time t;

[0074] The viscosity coefficient of the hydraulic oil is obtained based on heat exchange according to the temperature difference between the hydraulic oil temperature and the ambient temperature; the ratio of the hydraulic oil temperature to the viscosity coefficient of the hydraulic oil is used as the transmission efficiency;

[0075] The temperature influence coefficient is obtained according to the transfer efficiency combined with the pressure deviation based on a preset temperature influence coefficient calculation formula.

[0076] The specific calculation formula of the temperature influence coefficient is:

[0077]

[0078] Among them, χ is the temperature influence coefficient, WD is the hydraulic oil temperature, WD h is the ambient temperature of the workshop, F j is the pressure applied at the i-th moment, N is the number of pressures counted at that moment, and F 1 is the set pressure, c is the specific heat capacity of the hydraulic oil.

[0079] S2, constructing a bamboo press pressure optimization adjustment model based on machine learning according to bamboo material data and operation data, and obtaining an adjustment evaluation coefficient;

[0080] The specific calculation formula of the adjustment evaluation coefficient is:

[0081]

[0082] in, is the adjustment evaluation coefficient, α is the bamboo material characteristic influence coefficient, β is the state influence coefficient, χ is the temperature influence coefficient, λ 1 is the weight factor of the preset bamboo material characteristic influence coefficient, λ 2 is the weight factor of the preset state influence coefficient, λ 3 It is the weight factor of the preset temperature influence coefficient.

[0083] S3, drawing a pressure-adjustment curve diagram according to the adjustment evaluation coefficient and the simulated pressure curve corresponding to the standard bamboo material characteristics in the preset bamboo material characteristic database;

[0084] The pressure-adjustment curve is drawn according to the adjustment evaluation coefficient and the simulated pressure curve corresponding to the standard bamboo material characteristics in the preset bamboo material characteristics database, specifically:

[0085] The adjustment evaluation coefficients under different pressures are obtained through the bamboo press pressure optimization regulation model;

[0086] Retrieving simulation pressure curve data corresponding to standard bamboo characteristics from a preset bamboo characteristic database;

[0087] A rectangular coordinate system is established, with the horizontal axis representing the adjustment assessment coefficient and the vertical axis representing the pressure value;

[0088] According to the extracted simulated pressure curve data corresponding to the standard bamboo material characteristics, each data point is connected in sequence on a set coordinate plane to obtain a pressure-adjustment curve diagram.

[0089] S4, analyzing and obtaining the optimal pressure value according to the pressure-adjustment curve diagram, and applying it to the current bamboo pressing;

[0090] Observe the shape and trend of the curve to determine the law of pressure change with the adjustment evaluation coefficient. If the curve is monotonically increasing, it means that as the adjustment evaluation coefficient increases, the required pressure is also increasing; if the curve rises first and then falls or shows other complex trends, it is necessary to carefully analyze the turning points and change ranges.

[0091] Make sure the selected pressure value is within the maximum pressure range of the bamboo press. If some high pressure areas in the curve exceed the maximum pressure of the equipment, the pressure values ​​corresponding to these areas are not feasible.

[0092] The optimal pressure value is obtained by analyzing the pressure-adjustment curve diagram, specifically:

[0093] Observe the pressure-adjustment curve and take the ordinate of the point where the concavity and convexity of the curve changes as the optimal pressure value.

[0094] S5, through the closed-loop feedback mechanism, the pressure sensor continuously feeds back the adjusted pressure value, and makes real-time comparison and adjustment until the deviation between the actual pressure and the optimal pressure value is within the preset range.

[0095] In the real-time comparison and adjustment, a pressure buffer mechanism is added. When the adjustment instruction requires a sharp change in pressure, the actuator adjusts the pressure in a step-by-step and gradual manner to avoid damage to the bamboo fiber structure due to sudden changes in pressure, thereby ensuring a smooth and orderly bamboo pressing process.

[0096] Embodiment 2, a bamboo press pressure optimization and regulation system based on intelligent control, comprising the following modules: a data acquisition module, a bamboo press pressure optimization and regulation model construction module, a curve drawing module, a curve analysis module and a pressure feedback module;

[0097] Data acquisition module: used to obtain bamboo material data and operation data of the bamboo press during operation;

[0098] Bamboo press pressure optimization adjustment model construction module: used to construct a bamboo press pressure optimization adjustment model based on machine learning according to bamboo material data and operation data to obtain the adjustment evaluation coefficient;

[0099] Curve graph drawing module: used to draw a pressure-adjustment curve graph according to the adjustment evaluation coefficient and the simulated pressure curve corresponding to the standard bamboo material characteristics in the preset bamboo material characteristic database;

[0100] Curve chart analysis module: used to obtain the optimal pressure value according to the pressure-adjustment curve chart analysis, and apply it to the current bamboo pressing;

[0101] Pressure feedback module: It is used to continuously feedback the adjusted pressure value through the closed-loop feedback mechanism, and make real-time comparison and adjustment until the deviation between the actual pressure and the optimal pressure value is within the preset range.

[0102] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0103] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0104] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0105] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0106] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0107] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A bamboo press pressure optimization adjustment method based on intelligent control, characterized in that: The following steps are involved: Obtain bamboo material data and operation data of the bamboo press when it is running; According to the bamboo material data and operation data, a bamboo press pressure optimization adjustment model was constructed based on machine learning to obtain the adjustment evaluation coefficient; Draw a pressure-adjustment curve diagram according to the adjustment evaluation coefficient and the simulated pressure curve corresponding to the standard bamboo material characteristics in the preset bamboo material characteristic database; The optimal pressure value is obtained by analyzing the pressure-adjustment curve diagram and applied to the current bamboo pressing; Through a closed-loop feedback mechanism, the pressure sensor continuously feeds back the adjusted pressure value, and makes real-time comparisons and adjustments until the deviation between the actual pressure and the optimal pressure value is within a preset range.

2. The method for optimizing and adjusting the pressure of a bamboo press based on intelligent control according to claim 1 is characterized in that: The bamboo material data includes bamboo material characteristic influence coefficient, and the operation data includes state influence coefficient and temperature influence coefficient; The specific method for obtaining the bamboo material characteristic influence coefficient is as follows: Obtain the moisture content, density, thickness, bamboo age and size of the bamboo material to be pressed in real time; The flatness is obtained based on the fitting curve equation according to the density and thickness of the bamboo; According to the moisture content and size of bamboo, the influence index was calculated by variance analysis; The influence coefficient of bamboo characteristics was obtained by combining flatness and influence index with bamboo age through a multivariate linear regression model.

3. The method for optimizing and adjusting the pressure of a bamboo press based on intelligent control according to claim 2 is characterized in that: The specific method for obtaining the state influence coefficient is as follows: The selection characteristics include bamboo with different moisture content, density and thickness; Place the bamboo materials on the bamboo press in sequence for pressing, and collect the operation data of the bamboo press during the whole pressing process; Draw a dynamic change curve based on the operating data and record the pressure speed at every moment; Monitor and capture the pressure peak in real time to obtain the number of times the bamboo press reaches the maximum pressure limit; Obtain the deviation data between the average value of the actual pressure value and the set value as the pressure accuracy; The state influence coefficient is obtained based on the pressure accuracy, pressure speed, the number of maximum pressure limits and the time required to achieve the ideal compaction effect.

4. The method for optimizing and adjusting the pressure of a bamboo press based on intelligent control according to claim 3 is characterized in that: The specific method for obtaining the temperature influence coefficient is as follows: Obtain the ambient temperature of the bamboo processing workshop and the hydraulic oil temperature of the bamboo press within time t; The viscosity coefficient of the hydraulic oil is obtained based on heat exchange according to the temperature difference between the hydraulic oil temperature and the ambient temperature; the ratio of the hydraulic oil temperature to the viscosity coefficient of the hydraulic oil is used as the transmission efficiency; The temperature influence coefficient is obtained according to the transfer efficiency combined with the pressure deviation based on a preset temperature influence coefficient calculation formula.

5. The method for optimizing and adjusting the pressure of a bamboo press based on intelligent control according to claim 4 is characterized in that: The pressure-adjustment curve is drawn according to the adjustment evaluation coefficient and the simulated pressure curve corresponding to the standard bamboo material characteristics in the preset bamboo material characteristics database, specifically: The adjustment evaluation coefficients under different pressures are obtained through the bamboo press pressure optimization regulation model; Retrieving simulation pressure curve data corresponding to standard bamboo characteristics from a preset bamboo characteristic database; A rectangular coordinate system is established, with the horizontal axis representing the adjustment assessment coefficient and the vertical axis representing the pressure value; According to the extracted simulated pressure curve data corresponding to the standard bamboo material characteristics, each data point is connected in sequence on a set coordinate plane to obtain a pressure-adjustment curve diagram.

6. The method for optimizing and adjusting the pressure of a bamboo press based on intelligent control according to claim 5 is characterized in that: The optimal pressure value is obtained by analyzing the pressure-adjustment curve diagram, specifically: Observe the pressure-adjustment curve and take the ordinate of the point where the concavity and convexity of the curve changes as the optimal pressure value.

7. The method for optimizing and adjusting the pressure of a bamboo press based on intelligent control according to claim 6 is characterized in that: In the real-time comparison and adjustment, a pressure buffer mechanism is added. When the adjustment instruction requires a sharp change in pressure, the actuator adjusts the pressure in a step-by-step and gradual manner to avoid damage to the bamboo fiber structure due to sudden changes in pressure, thereby ensuring a smooth and orderly bamboo pressing process.

8. The method for optimizing and adjusting the pressure of a bamboo press based on intelligent control according to claim 7 is characterized in that: The specific calculation formula of the bamboo material characteristic influence coefficient is: Among them, α is the influence coefficient of bamboo characteristics, ρ is the density of bamboo, hd is the thickness of bamboo, t is the age of bamboo, hs is the moisture content of bamboo, and C is the size of bamboo.

9. The method for optimizing and adjusting the pressure of a bamboo press based on intelligent control according to claim 8 is characterized in that: The specific calculation formula of the pressure accuracy is: The specific calculation formula of the state influence coefficient is: Among them, P acc is the pressure accuracy, n is the n sets of actual pressure values ​​collected, p i is the ith actual pressure value, P 设定 is the set pressure value, β is the state influence coefficient, h is the number of times the maximum pressure limit is reached, v is the pressure speed of the bamboo press, F max is the maximum pressure limit, and t is the time required to achieve the ideal compaction effect.

10. A system using the bamboo press pressure optimization adjustment method based on intelligent control as claimed in any one of claims 1 to 9, characterized in that: The method comprises the following modules: a data acquisition module, a bamboo press pressure optimization adjustment model construction module, a curve drawing module, a curve analysis module and a pressure feedback module; Data acquisition module: used to obtain bamboo material data and operation data of the bamboo press during operation; Bamboo press pressure optimization adjustment model construction module: used to construct a bamboo press pressure optimization adjustment model based on machine learning according to bamboo material data and operation data to obtain the adjustment evaluation coefficient; Curve graph drawing module: used to draw a pressure-adjustment curve graph according to the adjustment evaluation coefficient and the simulated pressure curve corresponding to the standard bamboo material characteristics in the preset bamboo material characteristic database; Curve chart analysis module: used to obtain the optimal pressure value according to the pressure-adjustment curve chart analysis, and apply it to the current bamboo pressing; Pressure feedback module: It is used to continuously feedback the adjusted pressure value through the closed-loop feedback mechanism, and make real-time comparison and adjustment until the deviation between the actual pressure and the optimal pressure value is within the preset range.

Images