Bamboo tool processing intelligent real-time control method, system, medium and equipment

Abstract

The invention discloses an intelligent real-time control method and system for bamboo tool processing, a medium and equipment, and the method comprises the steps: obtaining the feeding state of a bamboo tool, judging whether the feeding is successful or not, and generating a prompt and displaying the prompt if the feeding is abnormal; and if feeding is successful, corresponding machining information is obtained, detection conditions are generated, the state of machining equipment is checked, and if abnormity occurs, corresponding prompts are generated. Then, an impurity removal strategy is generated to control impurity removal equipment to remove impurities generated in the machining process, after a control instruction is generated and executed, the discharging state is obtained, and whether discharging succeeds or not is judged; the method further relates to similarity matching of image information, texture features are extracted through gabor filtering, the similarity is calculated, and normal proceeding of processing steps is ensured. In addition, the invention also covers a bamboo tool processing intelligent control system suitable for the method, a computer readable storage medium and electronic equipment. Through the technical means, the bamboo tool processing efficiency and the quality control capability are remarkably improved.

Description

Technical Field

[0001] The invention relates to the field of bamboo tool processing, and in particular to an intelligent real-time control method, system, medium and equipment for bamboo tool processing. Background Art

[0002] Now, with the continuous application of high-tech in bamboo industry processing, a number of products that transform the original engraving machines into automated ones have emerged on the market, but there are still great technical shortcomings in the automation equipment suitable for bamboo processing. First of all, the price of instruments and equipment is usually high, which increases the cost of bamboo processing, and it is difficult for small bamboo product manufacturers to apply them in practice. Secondly, the existing bamboo processing automation equipment often adopts an integrated design, which occupies a large and fixed area, is not conducive to the flexible allocation and deployment of equipment between different processing sites, has poor site adaptability, has many and complex lines, and is difficult to maintain and repair on a daily basis. In addition, these automated equipment are difficult to use, and the control interface is relatively complex. Operators need to learn for a long time to master them, which increases the training cost of the enterprise and reduces the practicality of the equipment to a certain extent. In general, the existing bamboo processing automation equipment still has great limitations in terms of price, adaptability, and ease of use, and it is difficult to truly meet the actual needs of small and medium-sized bamboo product enterprises. Summary of the invention

[0003] In view of this, the purpose of the present invention is to propose a more intelligent, efficient and economical bamboo processing control system to solve the difficult problems in bamboo industry processing.

[0004] In order to achieve the above technical objectives, the technical solution adopted by the present invention is:

[0005] In a first aspect, the present invention provides an intelligent real-time control method for bamboo tool processing, comprising:

[0006] Acquire first status information collected by the first sensor, where the first status information is a feeding status of the bamboo tool;

[0007] judging whether the bamboo tool is loaded successfully according to the first status information;

[0008] If not, it means that the bamboo tool feeding is abnormal, and the first abnormal prompt is generated and displayed;

[0009] If yes, then obtaining first processing information corresponding to the current bamboo tool, the first processing information including the bamboo tool processing flow;

[0010] Generating a first detection condition according to the first processing information, the first detection condition being a detection condition of a processing equipment involved in the current bamboo tool processing stage;

[0011] According to the first detection condition, the states of the processing equipment involved in the current bamboo tool processing stage are checked one by one to obtain a first detection result;

[0012] If the first detection result is abnormal, a second abnormal prompt is generated and displayed;

[0013] If the first detection result is normal, a first impurity removal strategy is generated according to the first processing information, and the first impurity removal strategy is used to control the impurity removal equipment to remove impurities generated in the bamboo tool processing stage;

[0014] Generate and execute a first control instruction according to the first processing information and the first impurity removal strategy;

[0015] After the first control instruction is executed, the second state information collected by the first sensor is obtained, and the second state information is the unloading state of the bamboo tool;

[0016] judging whether the bamboo tool is successfully cut according to the second state information;

[0017] If not, it means that the bamboo tool cutting is abnormal, and the third abnormal prompt is generated and displayed;

[0018] If so, a first prompt message is output, and the first prompt message is used to prompt that the current bamboo tool processing is completed.

[0019] In some embodiments, the first sensor is a weight sensor, and judging whether the bamboo tool is loaded successfully according to the first status information further includes:

[0020] Obtaining a first actual quality value in the first state information;

[0021] and, obtaining a first preset quality value;

[0022] Calculate the difference between the first actual mass value and the first preset mass value, and record it as a first calculated difference;

[0023] Determining whether the first calculated difference is within a first preset threshold range;

[0024] If yes, the judgment result of outputting the first state information is that the bamboo utensils are loaded successfully;

[0025] If not, the judgment result of outputting the first state information is that the bamboo tool feeding is abnormal;

[0026] Judging whether the bamboo tool is successfully cut according to the second status information also includes:

[0027] Acquire a second actual quality value in the second state information;

[0028] and, obtaining a second preset quality value;

[0029] Calculate the difference between the second actual mass value and the second preset mass value, and record it as a second calculated difference;

[0030] determining whether the second calculated difference is within a second preset threshold range;

[0031] If yes, the judgment result of outputting the second state information is that the bamboo tool is cut successfully;

[0032] If not, the judgment result of outputting the second state information is that the bamboo tool feeding is abnormal.

[0033] In some embodiments, generating the first detection condition according to the first processing information includes:

[0034] Obtaining a code of the processing equipment in the first processing information, recorded as the first equipment code;

[0035] Matching a connection interface of each processing device according to the first device code, recorded as a first connection interface, and acquiring a first self-test instruction corresponding to the first device code according to the first device code;

[0036] Mapping and storing the first self-test instruction, the first device code, and the first connection interface to form a first test condition;

[0037] According to the first detection condition, the states of the processing equipment involved in the current bamboo tool processing stage are checked one by one, and the first detection results include:

[0038] Sending a first self-test instruction to its corresponding first connection interface;

[0039] Obtain a first return value of each first connection interface;

[0040] Generate a first inspection result corresponding to each first device code according to the first return value;

[0041] The first inspection result is mapped and stored with the first device code to generate a first detection result.

[0042] In some embodiments, generating a first impurity removal strategy according to the first processing information includes:

[0043] Extracting each processing step of the current bamboo tool in the first processing information;

[0044] Calculate the reduced consumables mass of bamboo tools in each processing step;

[0045] Determining one by one whether the mass of the reduced consumables exceeds a third preset threshold;

[0046] If yes, then the difference between the reduced consumables mass and a third preset threshold is calculated to obtain a third difference;

[0047] Obtaining a preset impurity removal power of each impurity removal device, and converting the preset impurity removal power into a preset impurity removal quality;

[0048] Calculating the degree of fit between the third difference and the preset impurity removal quality one by one to obtain a first fit value;

[0049] and generating a second adaptation value for each impurity removal device according to a preset impurity removal power;

[0050] Performing a weighted operation on the first adaptation value and the second adaptation value to obtain a final adaptation value of each impurity removal power;

[0051] The final adaptation values ​​are arranged from large to small, and several impurity removal devices with the highest final adaptation values ​​are selected and recorded as the final impurity removal devices;

[0052] and performing time sequence sorting on the final impurity removal equipment according to the first adaptation value associated with each final impurity removal equipment to obtain sorting information;

[0053] A first impurity removal strategy is generated according to the sorting information and the final impurity removal equipment.

[0054] In some embodiments, after generating and executing the first control instruction according to the first processing information and the first impurity removal strategy, the method further includes:

[0055] Acquire first image information corresponding to each processing step, the first image information is first image information collected in real time by the second sensor, and the first image information is an image of the bamboo tool during the processing;

[0056] Acquire second image information corresponding to each processing step in the first processing information;

[0057] Performing similarity matching on the first image information and the second image information to obtain first error information;

[0058] Determining whether the first error information is within a range of a preset error threshold;

[0059] If yes, it means the current processing step is normal and you can proceed to the next processing step;

[0060] If not, it means that the current processing step is abnormal, and a fourth abnormal prompt is generated and displayed.

[0061] In some embodiments, performing similarity matching on the first image information and the second image information to obtain the first error information includes:

[0062] Performing Gabor filtering on the first image information to obtain a first texture feature vector;

[0063] Performing Gabor filtering on the second image information to obtain a second texture feature vector;

[0064] Calculating the cosine similarity between the first texture feature vector and the second crack feature vector to obtain a first similarity value;

[0065] The first similarity value is used as the first error information.

[0066] In a second aspect, the present invention provides an intelligent real-time control system for bamboo tool processing, which is applicable to the method described in the first aspect, and the system comprises:

[0067] A tray, the tray is used to place bamboo utensils, and a first sensor is arranged on the tray;

[0068] A control unit, electrically connected to the first sensor, the control unit being configured to execute the method of any one of claims 1 to 6;

[0069] A plurality of processing devices electrically connected to the control unit;

[0070] At least one impurity removal device is electrically connected to the control unit.

[0071] In a third aspect, the present invention provides a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, implement the method as described in the first aspect.

[0072] In a fourth aspect, the present invention provides an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in the first aspect.

[0073] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art:

[0074] The intelligent real-time control method for bamboo tool processing of the present invention can timely determine whether the loading and unloading of bamboo tools are successful by acquiring the status information of the sensor in real time, thereby effectively avoiding the waste of resources and production delays caused by operational errors. Secondly, by generating detection conditions and checking the status of processing equipment one by one, the system can quickly identify the abnormal situation of the equipment and generate corresponding abnormal prompts to ensure the smooth progress of the processing process. In addition, the impurity removal strategy generated based on the processing information can effectively control the impurity removal equipment to remove impurities generated during the processing process, thereby improving the quality and qualified rate of the product. In addition, the system introduces a similarity matching mechanism of image information, and through accurate texture feature analysis, it further improves the monitoring ability of the processing state, and can timely detect and handle abnormal situations. This intelligent control method not only improves the processing efficiency and reduces the need for manual intervention, but also provides intuitive feedback for operators and simplifies the operation process. In summary, the present invention effectively improves the automation level and product quality of bamboo tool processing, and provides reliable technical support for intelligent manufacturing of the bamboo industry.

[0075] The present invention solves the problem of complex and unstable bamboo processing work by setting up flexible pneumatic suction cups, material racks, material limit blocks, third sensors, pallets, fixed cylinders and other devices. The system uses pallets and fixed cylinders to accurately position and fix the bamboo tools to be processed, ensuring the stability of the processing process. The pallet is provided with a first sensor and a second sensor, which can monitor the status of the bamboo tools in real time and provide reliable data support for subsequent intelligent analysis. The system integrates modules such as processing platforms, working platforms and robotic arms, and realizes automatic loading and unloading of bamboo tools through flexible pneumatic suction cups, greatly improving operating efficiency and reducing the need for manual intervention. At the same time, the material limit blocks and the third sensor on the working platform also ensure the accurate positioning and status detection of the materials.

[0076] In addition, the system fully integrates the aforementioned intelligent real-time control method for bamboo tool processing of the present invention, and can perform real-time monitoring and precise control on each link of bamboo tool feeding, processing, impurity removal, etc., timely discover and handle abnormal situations, and ensure the stable operation of the entire processing process. At the same time, the quality detection mechanism based on image analysis also effectively improves the qualified rate of products. In general, the intelligent real-time control method, system, medium and equipment for bamboo tool processing provided by the present invention have shown significant advantages in improving production efficiency, reducing labor costs, ensuring product quality, etc. This innovative solution will surely inject new impetus into the development of intelligent manufacturing in the bamboo products industry and promote the industry to develop in the direction of higher quality and higher efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0078] Figure 1 It is a first method flow chart of an intelligent real-time control method for bamboo tool processing described in a specific implementation method.

[0079] Figure 2 It is a second method flow chart of a bamboo tool processing intelligent real-time control method described in a specific implementation method.

[0080] Figure 3 It is a specific structural schematic diagram of the intelligent real-time control system for bamboo tool processing described in the specific implementation method.

[0081] Figure 4 It is a control interface design framework diagram of the intelligent real-time control system for bamboo tool processing described in the specific implementation method.

[0082] Figure 5 It is a design framework diagram of the login interface of the intelligent real-time control system for bamboo tool processing described in the specific implementation method.

[0083] Reference numerals:

[0084] 1. Processing platform;

[0085] 11. Processing equipment;

[0086] 12. Pallet;

[0087] 13. Fixed cylinder;

[0088] 2. Working platform;

[0089] 21. Material rack;

[0090] 22. Material limit block;

[0091] 3. Robotic arm;

[0092] 31. Flexible pneumatic suction cup. DETAILED DESCRIPTION

[0093] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples. It is particularly noted that the following examples are only used to illustrate the present invention, but are not intended to limit the scope of the present invention. Similarly, the following examples are only partial embodiments of the present invention rather than all embodiments, and all other embodiments obtained by those of ordinary skill in the art without creative work are within the scope of protection of the present invention.

[0094] See also Figure 1 to Figure 2 In a first aspect, the present invention provides an intelligent real-time control method for bamboo tool processing, comprising:

[0095] S101, obtaining first status information collected by a first sensor, where the first status information is a feeding status of the bamboo tool;

[0096] S102, judging whether the bamboo tool is loaded successfully according to the first status information;

[0097] S103, if not, it indicates that the bamboo tool feeding is abnormal, and a first abnormal prompt is generated and displayed;

[0098] S104: If yes, obtain first processing information corresponding to the current bamboo tool, where the first processing information includes a bamboo tool processing flow;

[0099] S105, generating a first detection condition according to the first processing information, where the first detection condition is a detection condition of a processing equipment involved in the current bamboo tool processing stage;

[0100] S106, checking the status of the processing equipment involved in the current bamboo tool processing stage one by one according to the first detection condition, and obtaining a first detection result;

[0101] S107: If the first detection result is abnormal, generate and display a second abnormal prompt;

[0102] S108, if the first detection result is normal, generating a first impurity removal strategy according to the first processing information, the first impurity removal strategy being used to control the impurity removal equipment to remove impurities generated during the bamboo tool processing stage;

[0103] S109, generating and executing a first control instruction according to the first processing information and the first impurity removal strategy;

[0104] S110, after the first control instruction is executed, obtaining second state information collected by the first sensor, the second state information being a blanking state of the bamboo tool;

[0105] S111, judging whether the bamboo tool is successfully cut according to the second state information;

[0106] S112, if not, it indicates that the bambooware cutting is abnormal, and a third abnormal prompt is generated and displayed;

[0107] S113: If yes, output a first prompt message, where the first prompt message is used to prompt that the current bamboo tool processing is completed.

[0108] In this embodiment, through real-time monitoring and precise control of key processing states and equipment states, omissions and misjudgments that may occur during manual monitoring are effectively avoided, the automation and intelligence of the bamboo tool processing process is realized, and production efficiency and product quality are improved. Specifically, the method first obtains the bamboo tool feeding state information (i.e., the first state information) collected by the first sensor to determine whether the feeding is successful. If the feeding is abnormal, the system will immediately generate an abnormal prompt (i.e., the first abnormal prompt) to remind the operator to handle it. If the feeding is successful, the corresponding detection conditions (i.e., the first detection conditions) are generated according to the processing flow information of the bamboo tool (i.e., the first processing information), and the equipment involved in the current processing stage is checked one by one to promptly discover possible abnormal states. Once an equipment abnormality is detected, the system will generate an abnormal prompt again to help the operator quickly locate and solve the problem, minimizing production interruptions and waste.

[0109] When the equipment is detected normally, the system will automatically generate the first impurity removal strategy and issue the corresponding first control instruction according to the first processing information to control the impurity removal equipment to remove impurities generated during the bamboo tool processing. This intelligent control strategy based on processing flow information not only improves the execution efficiency of key processes such as impurity removal, but also ensures the stability of bamboo tool processing quality.

[0110] After completing the processing control, the system will continue to monitor the unloading status of the bamboo tool to determine whether the unloading is successful. If the unloading is abnormal, a third abnormal prompt will also be generated to guide the operator to handle it. If the unloading is smooth, the first prompt information that the bamboo tool processing is completed will be output. This method realizes the automation and intelligence of the entire process of bamboo tool processing. From loading, processing to unloading, all links are included in the scope of intelligent control. This not only improves production efficiency and reduces the workload of operators, but also greatly improves the safety of the entire production process by eliminating interference from human factors.

[0111] In some embodiments, the first sensor is a weight sensor, and judging whether the bamboo tool is loaded successfully according to the first status information further includes:

[0112] Obtaining a first actual quality value in the first state information;

[0113] And, obtaining a first preset quality value;

[0114] Calculate the difference between the first actual mass value and the first preset mass value, and record it as a first calculated difference;

[0115] Determining whether the first calculated difference is within a first preset threshold range;

[0116] If yes, the judgment result of outputting the first state information is that the bamboo utensils are loaded successfully;

[0117] If not, the judgment result of outputting the first state information is that the bamboo tool feeding is abnormal;

[0118] Judging whether the bamboo tool is successfully cut according to the second status information also includes:

[0119] Acquire a second actual quality value in the second state information;

[0120] and, obtaining a second preset quality value;

[0121] Calculate the difference between the second actual mass value and the second preset mass value, and record it as a second calculated difference;

[0122] determining whether the second calculated difference is within a second preset threshold range;

[0123] If yes, the judgment result of outputting the second state information is that the bamboo tool is cut successfully;

[0124] If not, the judgment result of outputting the second state information is that the bamboo tool feeding is abnormal.

[0125] In this embodiment, the first sensor is a weight sensor, and its main function is to accurately measure the mass of the bamboo tool, so as to determine whether the loading and unloading of the bamboo tool during the processing is successful. Specifically, the system will obtain the first state information through the sensor, which includes the first actual mass value of the bamboo tool. At the same time, the system will also set a first preset mass value, which is usually a standard mass value predefined according to the processing requirements. Then, the system calculates the difference between the first actual mass value and the first preset mass value, and records it as the first calculated difference.

[0126] By judging whether the first calculated difference is within a preset threshold range (i.e., the first preset threshold), the system can judge whether the bamboo tool is successfully loaded. If the first calculated difference is within the first preset threshold range, the system will output a judgment result that the bamboo tool is successfully loaded; otherwise, it will output a prompt of abnormal loading, and promptly remind the operator to intervene and handle it.

[0127] The same logic also applies to the unloading process. When the unloading status information is obtained through the first sensor, the system will obtain the second actual mass value and the second preset mass value, and calculate the second calculated difference. By judging whether the second calculated difference is within the second preset threshold range, the system can judge whether the unloading of the bamboo tool is successful. If the unloading is successful, the system will output a successful prompt; if the unloading is abnormal, the corresponding abnormal prompt will be output.

[0128] This quality monitoring and judgment mechanism based on weight sensors makes the loading and unloading process of bamboo tools more accurate and reliable, ensuring the smooth progress of the processing process, and can provide intuitive data support for operators to help them better manage and optimize the processing process. At the same time, this solution is also conducive to timely detection of problems, reducing possible losses in the production process, thereby improving the production efficiency and product quality of bamboo tool processing.

[0129] In some embodiments, generating the first detection condition according to the first processing information includes:

[0130] Obtaining a code of the processing equipment in the first processing information, recorded as the first equipment code;

[0131] Matching a connection interface of each processing device according to the first device code, recorded as a first connection interface, and acquiring a first self-test instruction corresponding to the first device code according to the first device code;

[0132] Mapping and storing the first self-test instruction, the first device code, and the first connection interface to form a first test condition;

[0133] According to the first detection condition, the states of the processing equipment involved in the current bamboo tool processing stage are checked one by one, and the first detection results include:

[0134] Sending a first self-test instruction to its corresponding first connection interface;

[0135] Obtain a first return value of each first connection interface;

[0136] Generate a first inspection result corresponding to each first device code according to the first return value;

[0137] The first inspection result is mapped and stored with the first device code to generate a first detection result.

[0138] In this embodiment, the system generates a corresponding first detection condition based on the first processing information of the bamboo tool, which is used to check the status of the equipment involved in the current processing stage one by one. Specifically, the system first extracts the code of each processing equipment from the first processing information, that is, the first equipment code. Then, the system matches the connection interface corresponding to each device, that is, the first connection interface, based on these equipment codes. At the same time, the system also obtains the first self-test instruction corresponding to the first equipment code. Then, the system maps and stores the first self-test instruction with the first equipment code and the first connection interface to form a first detection condition. This detection condition provides a basis for the subsequent one-by-one inspection of the status of each processing equipment.

[0139] The specific inspection process is as follows: the system first sends the first self-test instruction to its corresponding first connection interface to obtain the first return value returned by each device. Then, the system generates the first inspection result corresponding to each device based on these first return values. Finally, the system maps and stores the first inspection result with the first device code to form a complete first detection result.

[0140] By mapping and storing the first device code, the first connection interface, and the first self-check instruction in advance, the system can quickly identify and locate each processing device, thereby improving the efficiency of the detection process. This detection mechanism based on device codes and self-check instructions enables the system to conduct comprehensive status checks and fault diagnosis for each device involved in the current processing stage, which not only ensures the reliability of equipment operation, but also provides reliable data support for subsequent intelligent control, greatly enhancing the accuracy and comprehensiveness of equipment status monitoring during bamboo tool processing, which not only improves product quality, but also improves production efficiency and safety.

[0141] In some embodiments, generating a first impurity removal strategy according to the first processing information includes:

[0142] Extracting each processing step of the current bamboo tool in the first processing information;

[0143] Calculate the reduced consumables mass of bamboo tools in each processing step;

[0144] Determining one by one whether the mass of the reduced consumables exceeds a third preset threshold;

[0145] If yes, then the difference between the reduced consumables mass and a third preset threshold is calculated to obtain a third difference;

[0146] Obtaining a preset impurity removal power of each impurity removal device, and converting the preset impurity removal power into a preset impurity removal quality;

[0147] Calculating the degree of fit between the third difference and the preset impurity removal quality one by one to obtain a first fit value;

[0148] and generating a second adaptation value for each impurity removal device according to a preset impurity removal power;

[0149] Performing a weighted operation on the first adaptation value and the second adaptation value to obtain a final adaptation value of each impurity removal power;

[0150] The final adaptation values ​​are arranged from large to small, and several impurity removal devices with the highest final adaptation values ​​are selected and recorded as the final impurity removal devices;

[0151] and performing time sequence sorting on the final impurity removal equipment according to the first adaptation value associated with each final impurity removal equipment to obtain sorting information;

[0152] A first impurity removal strategy is generated according to the sorting information and the final impurity removal equipment.

[0153] In this embodiment, the system generates a first impurity removal strategy for the bamboo tool processing process by comprehensively analyzing the first processing information to ensure efficient impurity removal in each processing step. First, the system extracts the information of each processing step of the current bamboo tool and calculates the mass of consumables reduced in each step. This process involves monitoring the resource consumption of each processing link to ensure that excessive waste and impurities are not generated during the processing. By accurately calculating the mass of consumables reduced in each processing step, potential impurity generation links can be effectively identified, so as to carry out targeted control and optimization.

[0154] Next, the system will determine whether the mass of consumables reduced in each processing step exceeds the set third preset threshold. If it is found that the mass of consumables reduced in a certain processing step exceeds this threshold, the system will calculate the difference between the reduced mass and the third preset threshold to obtain the third difference. At this time, the system also needs to obtain the preset impurity removal power of each impurity removal device and convert it into the preset impurity removal mass for the subsequent fitness calculation.

[0155] Subsequently, the system will compare the third difference with the preset impurity removal quality of each impurity removal device one by one, perform fitness calculation, and thus obtain the first fitness value. At the same time, based on the preset impurity removal power, the system generates a second fitness value for each impurity removal device. The first fitness value and the second fitness value are then weighted to obtain the final fitness value of each impurity removal device. By arranging the final fitness values ​​of all impurity removal devices from large to small, the system can select several impurity removal devices with the highest fitness values, namely the final impurity removal devices. The introduction of fitness calculation and weight calculation makes the generation of impurity removal strategies more scientific and reasonable, and can efficiently integrate the processing capabilities of multiple impurity removal devices to achieve the best impurity removal effect.

[0156] Finally, according to the first adaptation value associated with each final impurity removal device, the final impurity removal devices are time-sequenced and the corresponding sorting information is generated. Finally, the system forms a complete first impurity removal strategy based on the sorting information and the final impurity removal devices. This strategy not only helps to optimize the impurity removal efficiency during the processing, but also maximizes the use of existing impurity removal equipment, providing strong technical support for the intelligentization and automation of bamboo tool processing.

[0157] See also Figure 2 In some embodiments, after generating and executing the first control instruction according to the first processing information and the first impurity removal strategy, the method further includes:

[0158] S201, obtaining first image information corresponding to each processing step, where the first image information is first image information collected in real time by the second sensor, and the first image information is an image of the bamboo tool during processing;

[0159] S202, obtaining second image information corresponding to each processing step in the first processing information;

[0160] S203, performing similarity matching on the first image information and the second image information to obtain first error information;

[0161] S204, determining whether the first error information is within a range of a preset error threshold;

[0162] S205: If yes, it means the current processing step is normal and the next processing step can be continued;

[0163] S206. If not, it indicates that the current processing step is abnormal, and a fourth abnormal prompt is generated and displayed.

[0164] In this embodiment, after executing the first control instruction, the system further ensures the stability of the processing quality by analyzing and comparing the real-time image information during the bamboo tool processing. Specifically, the system acquires the first image information collected by the second sensor in real time, and these images record the actual state of the bamboo tool in each processing step. At the same time, the system also extracts the second image information corresponding to each processing step from the first processing information, and this information represents the standard processing effect. Real-time collection and analysis of image information during the processing process enables the system to more intuitively grasp the actual processing state of the bamboo tool in each link, providing a reliable basis for quality control.

[0165] By matching the first image information with the second image information, the first error information is calculated. This error information reflects the degree of difference between the current processing state and the standard state. By comparing and analyzing the actual image with the standard image, tiny deviations can be accurately identified, greatly improving the sensitivity and accuracy of abnormality detection.

[0166] Then, the system will determine whether the first error information is within the preset error threshold range. If it is within the range, it means that the current processing step is normal and the next step can be continued. However, if it exceeds the preset range, the system will generate a fourth abnormal prompt to promptly remind the operator to intervene and adjust.

[0167] This quality monitoring mechanism based on image analysis can detect abnormal conditions in the bamboo tool processing process more comprehensively and accurately, making up for the limitations that may exist when relying solely on sensor data. It not only improves production efficiency, but also greatly improves the stability of product quality.

[0168] In some embodiments, performing similarity matching on the first image information and the second image information to obtain the first error information includes:

[0169] Performing Gabor filtering on the first image information to obtain a first texture feature vector;

[0170] Performing Gabor filtering on the second image information to obtain a second texture feature vector;

[0171] Calculating the cosine similarity between the first texture feature vector and the second crack feature vector to obtain a first similarity value;

[0172] The first similarity value is used as the first error information.

[0173] This embodiment makes full use of the advantages of Gabor filtering in texture feature extraction, and provides more reliable technical support for image comparison and analysis. Specifically, the system first performs Gabor filtering on the first image information and the second image information respectively, so as to extract their respective texture feature vectors. Gabor filtering is a multi-scale and multi-directional filtering algorithm that can effectively capture local texture features in images, greatly enhance the perception of intrinsic features of images, improve the accuracy of anomaly detection, and lay the foundation for subsequent similarity calculations.

[0174] The first similarity value is obtained by calculating the cosine similarity between the first texture feature vector and the second texture feature vector. Cosine similarity is a commonly used vector similarity measurement method, which can reflect the degree of proximity between two vectors in a direction, and its value range is [0,1]. As a similarity measurement indicator, cosine similarity can provide intuitive numerical output, providing a reliable basis for subsequent abnormality judgment.

[0175] Finally, the system outputs the first similarity value as the first error information. The first error information reflects the difference between the real-time image and the standard image in texture features, and provides a quantitative basis for judging whether the current processing state is normal or not.

[0176] Compared with the traditional pixel-level comparison, this image analysis method based on Gabor filtering can capture the essential features of the image more accurately, thereby improving the reliability of similarity matching. At the same time, cosine similarity, as a metric, can also more objectively reflect the degree of difference between the two images, providing more scientific data support for the abnormal judgment of the system. In general, this embodiment further enhances the intelligent level of the bamboo tool processing process by innovatively applying Gabor filtering and cosine similarity, and provides strong support for the realization of high-quality bamboo product production.

[0177] See also Figure 3 In a second aspect, the present invention provides an intelligent real-time control system for bamboo tool processing, which is applicable to the method described in the first aspect, and the system comprises:

[0178] A tray 12, the tray 12 is used to place bamboo utensils, and a first sensor is provided on the tray 12;

[0179] A control unit, electrically connected to the first sensor, the control unit being configured to execute the method of any one of claims 1 to 6;

[0180] A plurality of processing devices 11 are electrically connected to the control unit;

[0181] At least one impurity removal device is electrically connected to the control unit.

[0182] In this embodiment, the tray 12 is used to place the bamboo tools to be processed. The tray 12 is provided with a first sensor for measuring the quality of the bamboo tools. Furthermore, the tray 12 is also provided with a second sensor, which is an image acquisition unit, and can be a camera or other equipment capable of acquiring image information, for acquiring image information of the bamboo tools. Preferably, the tray 12 is provided with a plurality of fixed cylinders 13, which are adjacent to each other at both ends of the tray 12, for fixing the bamboo tools. The contraction range of the fixed cylinders 13, that is, the size range of the processable materials is 400mm to 200mm, and the spacing between the adjacent fixed cylinders 13 is 200mm, that is, the size of the processable materials is within 200mm*200mm to 400mm*400mm. The tray 12 is arranged on the processing equipment 11, and the processing equipment 11 is used to process the bamboo tools.

[0183] Furthermore, the intelligent real-time control system for bamboo tool processing includes: a processing platform 1, a working platform 2 and a robotic arm 3. The working platform 2 is fixedly installed on the right side of the processing platform 1, and the robotic arm 3 is fixedly installed above the working platform 2. The robotic arm 3 can be a multi-axis robotic arm 3. The processing platform 1 is provided with a processing device 11, a tray 12 and a fixed cylinder 13. The tray 12 and the fixed cylinder 13 are used to fix the bamboo tools, and the processing device 11 is used to process the bamboo tools; the working platform 2 is composed of a material rack 21, a material limit block 22, and a third sensor. The material rack 21 is used to place the bamboo tools, the material limit block 22 is set on the material rack 21, and is used to limit the size of the bamboo tools. The third sensor is a diffuse reflection sensor, which is used to detect whether there are bamboo tools on the material table; the robotic arm 3 is set on the working platform 2, and is used to take the materials and place them on the processing platform 1 and take the materials away after the processing is completed.

[0184] Specifically, one end of the robot arm 3 away from the working platform 2 is fixedly connected to the flexible pneumatic suction cup 31 through a suction cup frame. The flexible pneumatic suction cup 31 is composed of a suction cup frame, a suction cup fixing seat, a suction cup spring, a flexible suction cup, an air guide tube, and a sealing plug. A plurality of suction cup fixing seats are fixedly installed below the suction cup frame. A flexible suction cup is installed on each suction cup fixing seat for sucking the bamboo tools on the tray 12 and placing it on the processing platform 1. The suction cup can be a commercially available suction cup. A suction cup spring is installed on the suction cup fixing seat and the flexible suction cup, so that each suction cup has a relative displacement with its corresponding suction cup fixing seat, providing flexibility for the bamboo tool suction work and preventing the bamboo tool from being damaged during the suction process. A plurality of flexible suction cups are connected in series by an air guide tube, and a sealing plug is fixedly installed at the outlet of the air guide tube near one of the flexible suction cups. During operation, the gas in the air guide tube is extracted by an external air pipe, so that a pressure difference is formed inside and outside the suction cup, and the bamboo tool suction work can be completed.

[0185] During operation, the flexible pneumatic suction cup 31 on the robot arm 3 sucks the bamboo tools and places them in the frame in the middle of the tray 12. Multiple fixed cylinders 13 will simultaneously pass air with the same pressure and flow rate, so that the push rods of the fixed cylinders 13 are extended at the same time to ensure that the bamboo tools are located in the middle of the tray 12, which is convenient for the processing of the bamboo tools.

[0186] A material rack 21 is fixedly installed above the working platform 2, and a plurality of material limit blocks 22 and a third sensor are respectively installed above the material rack 21. When working, the plurality of material limit blocks 22 limit the bamboo tools in the middle of the material rack 21. At this time, the sensor data of the third sensor is read to determine whether there are bamboo tools on the material rack 21. If there are bamboo tools, the flexible pneumatic suction cup 31 driven by the robotic arm 3 will suck up the bamboo tools and place them on the precision engraving machine processing platform 1 to cooperate in completing the processing.

[0187] Please refer to Figure x. In a third aspect, the present invention provides a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method described in the first aspect is implemented.

[0188] In this embodiment, a series of computer program instructions are stored on the computer-readable storage medium, which are used to implement the method in the above embodiment, including but not limited to intelligent monitoring, abnormality detection and quality control in the bamboo tool processing process. Specifically, when the processor executes these instructions, it will be able to obtain sensor data, process image information, generate control instructions in real time, and make corresponding decisions according to the processing status. This design enables the entire bamboo tool processing process to achieve automated and intelligent management, thereby improving production efficiency and product quality.

[0189] In a fourth aspect, the present invention provides an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in the first aspect.

[0190] In this embodiment, the memory is used to store one or more computer program instructions, which are written to realize the intelligent monitoring and control functions required in the bamboo tool processing process. When the processor executes these program instructions, it can obtain sensor data, analyze image information, generate control instructions in real time, and make decisions based on the processing status, thereby optimizing the processing flow. By integrating the memory and the processor, intelligent processing process management can be achieved, adapting to different processing environments and requirements, ensuring the efficiency and reliability of bamboo tool processing, thereby improving overall production efficiency and product quality.

[0191] Furthermore, the following examples can be developed in combination with the above solutions:

[0192] This solution is designed to solve the problem that the processing platform 1 and the industrial robot cannot be used together autonomously during bamboo processing. Through real-time monitoring of G codes and industrial robots, real-time detection is performed while ensuring stable data transmission, and the information is reflected on the interface, which facilitates operators to optimize process parameters and improve production quality and efficiency. At the same time, through intelligent control, the work of the mechanical arm 3 and the processing platform 1 is controlled. Compared with the traditional bamboo processing method (manual control of the processing platform 1), the present invention is independently innovative and can realize the automation of bamboo processing. It can also further collect data and adjust equipment in real time through remote monitoring software, realizing the control of the working status of automated bamboo processing at all times.

[0193] Based on the above, please refer to Figures 4 to 5 , the present invention also provides an intelligent real-time control system for bamboo tool processing, which includes a bamboo processing login interface, a bamboo processing registration interface, a bamboo processing management interface, and a bamboo processing control interface;

[0194] Among them, the processing flow of the intelligent real-time control system for bamboo tool processing is as follows: first, switch the system to automatic mode and click the start button, the system will identify the code execution block of the Mach3 interface. If the "T1M6" instruction is detected, that is, the G code starts the running instruction after waiting for 6 seconds. After confirming that the running state (state) is "True", the system sends a high-level instruction to the 0x0600 address of the PLC, and displays "Start running" on the interface. Subsequently, after the infrared sensor detects the placement of the bamboo board, it places the bamboo board in the designated area of ​​the processing platform 1. After the loading is completed, the system outputs a high-level signal to the specific X port of the PLC. When the system reads the data from the X port, it will control the Mach3 software panel to return the processing platform 1 to the origin and start processing the bamboo board. At this time, the interface will display "Start carving". When the "T1M6" instruction is detected again, the system considers that the processing is completed, and then sends an output instruction to the 0x060C address of the PLC, and displays "Start picking up materials". Subsequently, the robot arm 3 is controlled to perform the picking up operation. When the system receives the completion signal from the robot 3, the interface will display "Processing completed" and wait for new bamboo boards to be filled, thus realizing the fully automated control process of bamboo board processing. Figure 4 .

[0195] Among them, the bamboo tool processing intelligent real-time control system is used to control the bamboo processing work island and collect and manage user data. The data is organized according to the account, password, user authority and authorization format, and provides data management and query functions. According to the system demand analysis and considering the convenience of user data viewing, a solution based on the TK interface is designed: display the existing data through the graphical user interface, and use the buttons on the interface to achieve direct management and control of the database. The design framework of the login interface of the bamboo tool processing intelligent real-time control system is as follows: Figure 5.

[0196] The login interface of the bamboo processing system is divided into three main areas: login, registration, and verification code verification. The login area is further divided into administrator and operator login entrances, which lead to different management interfaces and control interfaces respectively. The registration area requires users to fill in the user name, password, confirmation password, and activation code, where the activation code determines the account's permission level. The verification code area has a refresh button for updating the verification code. If the input is wrong, the system will display an error message, automatically clear the password and verification code fields, and refresh the verification code for re-entry.

[0197] Among them, the bamboo processing management interface uses the "administrator" permission to log in to enter the bamboo processing management interface. In this interface, the administrator can load user information by clicking the "Read" button. Then, use the "Authorize" and "Unauthorize" buttons on the right side of the interface to manage users with "user" permissions and determine whether they have access to the control interface. If you need to delete a user, you can use the "Delete" button to do so. After processing the user information, click the "Save" button to confirm the changes. Finally, the administrator can leave the management interface by clicking the "Exit" button or the exit icon in the upper left corner of the interface.

[0198] The bamboo processing registration interface covers three key parts: user name, password and activation code. The system will verify the completeness and accuracy of the user's input and give prompts for the following four common errors: the user name already exists in the database, the two passwords do not match, the user name or password is not filled in, and the activation code is invalid. After successful registration, the user will be redirected back to the login interface.

[0199] The bamboo processing control interface consists of two modules: control and monitoring. The control module provides functions such as speed adjustment, start, stop, alarm elimination, single start and gear switching; the monitoring module is responsible for obtaining the current time, reading the equipment status and monitoring the execution of G code to ensure precise control and real-time monitoring of the processing process.

[0200] The intelligent real-time control system for bamboo tool processing of this solution aims at the problems of low automation, high manpower occupation, low safety and low interaction rate between processing equipment 11 in traditional bamboo processing work. The controller is further provided with a touch screen to realize control operation, control cabinet integration, etc. In addition, this solution can also integrate a communication module in the controller, further use the remote monitoring system to obtain the transfer picture, and then transmit the transfer picture back during the transfer process by wireless transmission. This can effectively reduce the labor intensity and number of workers of bamboo processing workers, and save manpower and material costs. In addition, the bamboo processing work is automatically controlled, which improves the processing safety and material quality in an environment without human participation.

[0201] The intelligent real-time control method for bamboo tool processing of the present invention can timely determine whether the loading and unloading of bamboo tools are successful by acquiring the status information of the sensor in real time, thereby effectively avoiding the waste of resources and production delays caused by operational errors. Secondly, by generating detection conditions and checking the status of the processing equipment 11 one by one, the system can quickly identify the abnormal situation of the equipment and generate corresponding abnormal prompts to ensure the smooth progress of the processing process. In addition, the impurity removal strategy generated based on the processing information can effectively control the impurity removal equipment to remove impurities generated during the processing process, thereby improving the quality and qualified rate of the product. In addition, the system introduces a similarity matching mechanism of image information, and through accurate texture feature analysis, it further improves the monitoring ability of the processing state, and can timely detect and handle abnormal situations. This intelligent control method not only improves the processing efficiency and reduces the need for manual intervention, but also provides intuitive feedback for operators and simplifies the operation process. In summary, the present invention effectively improves the automation level and product quality of bamboo tool processing, and provides reliable technical support for intelligent manufacturing of the bamboo industry.

[0202] The present invention solves the problem of complex and unstable bamboo processing by means of the flexible pneumatic suction cup 31, material rack 21, material stopper 22, third sensor, tray 12 and fixed cylinder 13. The system uses the tray 12 and fixed cylinder 13 to accurately position and fix the bamboo tools to be processed, ensuring the stability of the processing process. The tray 12 is provided with a first sensor and a second sensor, which can monitor the status of the bamboo tools in real time and provide reliable data support for subsequent intelligent analysis. The system integrates modules such as the processing platform 1, the working platform 2 and the robotic arm 3, and realizes automatic loading and unloading of bamboo tools through the flexible pneumatic suction cup 31, which greatly improves the operating efficiency and reduces the need for manual intervention. At the same time, the material stopper 22 and the third sensor on the working platform 2 also ensure the accurate positioning and status detection of the material.

[0203] In addition, the system fully integrates the aforementioned intelligent real-time control method for bamboo tool processing of the present invention, and can perform real-time monitoring and precise control on each link of bamboo tool feeding, processing, impurity removal, etc., timely discover and handle abnormal situations, and ensure the stable operation of the entire processing process. At the same time, the quality detection mechanism based on image analysis also effectively improves the qualified rate of products. In general, the intelligent real-time control method, system, medium and equipment for bamboo tool processing provided by the present invention have shown significant advantages in improving production efficiency, reducing labor costs, ensuring product quality, etc. This innovative solution will surely inject new impetus into the development of intelligent manufacturing in the bamboo products industry and promote the industry to develop in the direction of higher quality and higher efficiency.

[0204] The intelligent real-time control system for bamboo tool processing constructed by the present invention has a wide range of extended applications and is not limited to processing bamboo boards, but is also applicable to processing other wooden boards, aluminum boards, and boards made of other materials, thereby ensuring the versatility of the present invention.

[0205] This solution defines a control interface for an intelligent real-time control system for bamboo tool processing. The software uses a computer as the control core and is developed using the Python programming language. It collects data such as the operating status and operating speed of the equipment during bamboo processing, and performs data analysis on the corresponding data. Through the digital input and output interface and the communication protocol between the devices, the instructions are finally sent to the industrial robot for adjustment. While avoiding risks in a timely manner, it is convenient for operators to control the processing platform 1 and the work platform 2 and adjust the bamboo processing technology in a timely manner, and the interaction rate between the processing equipment 11 is also improved. Compared with the traditional bamboo processing method (manually controlled precision engraving machine processing), this solution is independent and innovative, and can realize the automation of bamboo processing, while realizing the constant control of the working status of automated bamboo processing.

[0206] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0207] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

[0208] The above descriptions are only some embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any equivalent device or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An intelligent real-time control method for bamboo tool processing, characterized in that: The method comprises: Acquire first status information collected by the first sensor, wherein the first status information is a feeding status of the bamboo tool; Determining whether the bamboo tool is loaded successfully according to the first status information; If not, it indicates that the bamboo tool feeding is abnormal, and a first abnormal prompt is generated and displayed; If yes, obtaining first processing information corresponding to the current bamboo tool, wherein the first processing information includes a bamboo tool processing flow; generating a first detection condition according to the first processing information, wherein the first detection condition is a detection condition of a processing equipment involved in the current bamboo tool processing stage; According to the first detection condition, the states of the processing equipment involved in the current bamboo tool processing stage are checked one by one to obtain a first detection result; If the first detection result is abnormal, a second abnormal prompt is generated and displayed; If the first detection result is normal, generating a first impurity removal strategy according to the first processing information, wherein the first impurity removal strategy is used to control an impurity removal device to remove impurities generated during the bamboo tool processing stage; Generate and execute a first control instruction according to the first processing information and the first impurity removal strategy; After the first control instruction is executed, second state information collected by the first sensor is obtained, where the second state information is a blanking state of the bamboo tool; judging whether the bamboo tool is successfully cut according to the second status information; If not, it means that the cutting of the bamboo tool is abnormal, and a third abnormal prompt is generated and displayed; If so, a first prompt message is output, where the first prompt message is used to prompt that the current bamboo tool processing is completed.

2. The intelligent real-time control method for bamboo tool processing according to claim 1, characterized in that: The first sensor is a weight sensor, and judging whether the bamboo tool is loaded successfully according to the first status information further includes: Acquire a first actual quality value in the first state information; And, obtaining a first preset quality value; Calculating a difference between the first actual mass value and the first preset mass value, recorded as a first calculated difference; Determining whether the first calculated difference is within a first preset threshold range; If yes, then the judgment result of outputting the first state information is that the bamboo tool is successfully loaded; If not, the judgment result of outputting the first state information is that the bamboo tool feeding is abnormal; Judging whether the bamboo tool is successfully cut according to the second status information further includes: Acquire a second actual quality value in the second state information; and, obtaining a second preset quality value; Calculating a difference between the second actual mass value and the second preset mass value, recorded as a second calculated difference; determining whether the second calculated difference is within a second preset threshold range; If yes, then the judgment result of outputting the second state information is that the bamboo tool is cut successfully; If not, the judgment result of outputting the second state information is that the cutting of the bamboo tool is abnormal.

3. The intelligent real-time control method for bamboo tool processing according to claim 1, characterized in that: Generating a first detection condition according to the first processing information includes: Obtaining a code of the processing equipment in the first processing information, recorded as the first equipment code; Matching a connection interface of each processing device according to the first device code, recorded as a first connection interface, and acquiring a first self-test instruction corresponding to the first device code according to the first device code; Mapping and storing the first self-test instruction, the first device code, and the first connection interface to form the first detection condition; According to the first detection condition, the states of the processing equipment involved in the current bamboo tool processing stage are checked one by one, and the first detection result obtained includes: Sending the first self-test instruction to the first connection interface corresponding thereto; Obtaining a first return value of each of the first connection interfaces; Generate a first inspection result corresponding to each first device code according to the first return value; The first inspection result is mapped and stored with the first device code to generate the first detection result.

4. The intelligent real-time control method for bamboo tool processing according to claim 1, characterized in that: Generating a first impurity removal strategy according to the first processing information includes: Extracting each processing step of the current bamboo tool in the first processing information; Calculate the reduced consumables mass of the bamboo tool in each processing step; Determining one by one whether the mass of the reduced consumables exceeds a third preset threshold; If yes, then calculating the difference between the reduced consumable mass and the third preset threshold to obtain a third difference; Obtaining a preset impurity removal power of each impurity removal device, and converting the preset impurity removal power into a preset impurity removal quality; Calculating the degree of fit between the third difference and the preset impurity removal quality one by one to obtain a first fit value; and generating a second adaptation value for each of the impurity removal devices according to the preset impurity removal power; Performing a weighted operation on the first adaptation value and the second adaptation value to obtain a final adaptation value of each impurity removal power; Arrange the final adaptation values ​​from large to small, select several impurity removal devices with the highest final adaptation values, and record them as final impurity removal devices; and performing time sequence sorting on the final impurity removal devices according to the first adaptation value associated with each of the final impurity removal devices to obtain sorting information; The first impurity removal strategy is generated according to the sorting information and the final impurity removal device.

5. The intelligent real-time control method for bamboo tool processing according to claim 1, characterized in that: After generating and executing a first control instruction according to the first processing information and the first impurity removal strategy, the following further comprises: Acquire first image information corresponding to each of the processing steps, wherein the first image information is first image information collected in real time by the second sensor, and the first image information is an image of the bamboo tool during the processing; Acquire second image information corresponding to each of the processing steps in the first processing information; Performing similarity matching on the first image information and the second image information to obtain first error information; Determining whether the first error information is within a preset error threshold; If yes, it means the current processing step is normal and you can proceed to the next processing step; If not, it means that the current processing step is abnormal, and a fourth abnormal prompt is generated and displayed.

6. The intelligent real-time control method for bamboo tool processing according to claim 5, characterized in that: Performing similarity matching on the first image information and the second image information to obtain first error information includes: Performing Gabor filtering on the first image information to obtain a first texture feature vector; Performing Gabor filtering on the second image information to obtain a second texture feature vector; Calculating the cosine similarity between the first texture feature vector and the second crack feature vector to obtain a first similarity value; The first similarity value is used as the first error information.

7. An intelligent real-time control system for bamboo tool processing, characterized in that: The method according to any one of claims 1 to 6, wherein the system comprises: A tray, the tray is used to place bamboo utensils, and the tray is provided with a first sensor; a control unit, electrically connected to the first sensor, the control unit being configured to execute the method according to any one of claims 1 to 6; a plurality of processing devices electrically connected to the control unit; At least one impurity removal device is electrically connected to the control unit.

8. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 6 when executed by a processor.

9. An electronic device, comprising a memory and a processor, characterized in that: The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1 to 6.

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