Intelligent management and control system applied to wood shaving processing

Abstract

The invention discloses an intelligent management and control system applied to wood shaving processing, and relates to the field of management and control systems. Comprising a production environment acquisition module, a production image acquisition module, a raw material information acquisition module, a finished product information acquisition module, a data processing module and an information sending module. The production environment acquisition module is used for acquiring production environment information; the production image information acquisition module is used for acquiring production image information; the raw material information acquisition module is used for acquiring raw material information; the finished product information acquisition module is used for acquiring finished product information; and the data processing module is used for processing the production environment information, the production image information, the raw material information and the finished product information to obtain environment management and control information, image analysis management and control information, raw material management and control information and processing production management and control information. According to the invention, more comprehensive and intelligent management and control of wood shaving processing can be carried out.

Description

Technical Field

[0001] This invention relates to the field of control systems, and more specifically to an intelligent control system for wood shavings processing. Background Art

[0002] Wood shavings processing is a complex process involving multiple steps and stages. Its main purpose is to process logs or boards into shavings that meet specific requirements, which can then be used to produce various products such as particleboard, furniture parts, and building formwork.

[0003] In the processing of wood shavings, a control system is used to manage each stage of the process, thereby ensuring processing quality and safety. Existing control systems often focus solely on the processing itself, neglecting the importance of raw material storage. Furthermore, their fixed control models and low level of automation negatively impact their usability. For example, patent CN109732737A discloses a oriented strand board (OSB) production system and method with a flame retardant spraying structure. This patent employs multi-stage spraying to ensure sufficient absorption of the flame retardant by the shavings and uniform distribution. By simultaneously spraying various flame retardant solutions onto the shavings, it unexpectedly achieves excellent flame retardant coverage while further increasing the cooling effect on the blade ring and blades. However, this patent only focuses on controlling the production process, resulting in a limited range of control measures.

[0004] Therefore, this invention proposes an intelligent control system for wood shavings processing. Summary of the Invention

[0005] The technical problem that this invention aims to solve is that existing control systems are mostly focused on the control of the processing process, without considering the importance of raw material storage to wood shavings processing. Furthermore, the control mode is fixed and the level of intelligence is low, which has certain impacts on the use of the control system.

[0006] The present invention solves the above-mentioned technical problems through the following technical solutions: An intelligent control system for wood shavings processing includes a production environment acquisition module, a production image acquisition module, a raw material information acquisition module, a finished product information acquisition module, a data processing module, and an information transmission module. The production environment acquisition module is used to collect production environment information; The production image information acquisition module is used to acquire production image information; The raw material information acquisition module is used to collect raw material information; The finished product information collection module is used to collect finished product information; The data processing module is used to process production environment information, production image information, raw material information and finished product information to obtain environmental control information, image analysis control information, raw material control information and processing production control information; The information sending module is used to send the above information to a preset receiving terminal after the environmental control information, image analysis control information, raw material control information and processing and production control information are generated.

[0007] Furthermore, the environmental control information includes environmental control information for the processing workshop and environmental control information for raw material storage. Extract the collected production environment information, which includes processing workshop environment information and raw material storage environment information; The environmental information of the processing workshop includes information on air flow, temperature, humidity, and dust concentration within the workshop. The airflow information in the workshop is analyzed, and when there is an anomaly in the airflow velocity information in the workshop, environmental control information for the processing workshop is generated. The ambient temperature information in the workshop is analyzed. When the ambient temperature in the workshop is greater than the preset value a1, environmental control information for the processing workshop is generated. The humidity information in the workshop is analyzed. When the humidity information in the workshop is greater than the preset value b1, the environmental control information of the processing workshop is generated. When the ambient dust concentration exceeds the preset value c1, environmental control information for the processing workshop is generated. When the ambient humidity in the workshop is greater than the preset value b2 and the ambient dust concentration is greater than the preset value c2, the environmental control information of the processing workshop is generated. When the ambient temperature in the workshop is lower than the preset value a2 and the ambient humidity in the workshop is higher than the preset value b1, environmental control information for the processing workshop is generated. Among them, a1 > a2, b1 > b2, c1 > c2; Extract raw material storage environment information, including raw material storage temperature information and raw material storage humidity information; When the raw material storage temperature or humidity exceeds the preset value, raw material storage environment control information is generated.

[0008] Furthermore, the airflow information within the workshop includes airflow velocity information and airflow direction information within the workshop; The process of acquiring air flow information in the workshop is as follows: At least four sets of air information acquisition devices are set up in the wood shavings processing workshop. The four sets of air information acquisition devices simultaneously collect air flow velocity information and air flow direction information in the workshop. The air velocity information in the workshop was extracted, which included air velocity information collected by four sets of air information acquisition devices; When any one of the four air velocity values ​​is less than the preset value f1, it indicates that the air flow information in the workshop is abnormal. When the average of the four air velocity values ​​is less than the preset value f2, it indicates that the air flow information in the workshop is abnormal. The airflow information within the workshop includes airflow data collected by four sets of air data acquisition devices; Next, the floor plan of the processing workshop was extracted, and the ventilation direction in the workshop was marked on the floor plan. Then, the air flow direction collected by the four sets of air information collection devices was marked on the floor plan of the processing workshop. Then, the angle between the air flow direction collected by the four sets of air information collection devices and the ventilation direction in the workshop was measured to obtain four evaluation parameters. When any one of the four evaluation parameters is greater than the preset value, it indicates that there is an abnormality in the air flow information in the workshop.

[0009] Furthermore, the image analysis and control information includes processing workshop control information and raw material storage control information; Extract the collected image information, which includes images of the processing workshop and raw material storage. The image information of the processing workshop is processed for identification. When abnormal behavior is identified, the processing workshop control information is generated. The raw material storage image information is analyzed and processed. When storage anomalies are detected, raw material storage control information is generated.

[0010] Furthermore, the specific process of identifying and processing the image information of the processing workshop, and generating processing workshop control information when abnormal behavior is identified, is as follows: Extract the image information of the processing workshop, identify the cutting equipment from the image information, and identify the raw material cutting equipment; After identifying the raw material cutting equipment, establish protective zones and abnormal zones; Human body identification is performed within the protected area. When a person other than the equipment operator is identified within the protected area, abnormal behavior is detected. Import protective clothing models and identify protective clothing models of equipment operators. Abnormal behavior is identified when the protective clothing model is not identified in the human image of the operator. Abnormal behavior is identified when no human body is detected within the protected area and the cutting equipment is still in operation. Human body recognition is performed in abnormal areas. When a human body is recognized in an abnormal area, abnormal behavior is identified.

[0011] Furthermore, the specific process of establishing protective and abnormal zones after identifying the raw material cutting equipment is as follows: Extract the identified cutting device, draw a circle with the center point of the cutting device as the center and the preset length u1 as the radius, and then draw a rectangle circumscribed to the circle. The area within the rectangle is the protection area. After identifying the cutting equipment, the position of the cutting blade of the cutting equipment is marked. Then, a circle is drawn with the position of the cutting blade as the center and the preset length u2 as the radius to obtain the selection area. Then, the cutting direction of the cutting blade is collected, and half of the selection area in the same direction as the cutting direction of the cutting blade is marked as the abnormal area, u2>u1.

[0012] Furthermore, the analysis process for processing raw material storage image information to generate raw material storage control information when storage anomalies are detected is as follows: The acquired raw material storage image information was extracted, and multiple preset prompt signs were set in the raw material warehouse; The preset prompt sign model is imported into the raw material storage image information for recognition processing. Then, the number of the recognized preset prompt sign model is extracted and marked as G1. Then, collect the standard number of preset prompts and mark it as G2. When G2 is greater than G1, it indicates a storage abnormality. If an incomplete preset prompt icon is found during the identification process, it indicates a storage abnormality.

[0013] The process of extracting the acquired raw material storage image information and setting multiple preset prompts in the raw material warehouse includes: importing preset insect models, identifying preset types of insect models in the raw material storage image information, and recording the number of preset types of insect models identified within a preset time period. When the number of preset types of insect models identified within the preset time period is greater than a preset value, it indicates a storage abnormality.

[0014] Furthermore, the specific process for acquiring the raw material control information is as follows: extracting the collected raw material information, which includes raw material quantity information and raw material testing information; Raw material testing information includes the quantity of raw materials tested and the number of abnormal test results; The number of abnormal test results is marked as Z1, the number of raw materials tested is marked as Z2, and the raw material quantity information is marked as Z3; The raw material evaluation parameter Zz is obtained by using the formula Z1 / Z2*Z3*α=Zz; When the raw material assessment parameter Zz is greater than the preset value, raw material control information is generated.

[0015] Furthermore, the specific process for acquiring the processing and production control information is as follows: extract the collected finished product information, which includes finished product quantity information, raw material consumption, and finished product testing information; By calculating the ratio of finished product quantity information to raw material consumption, the raw material consumption of a single finished product is obtained. The difference between the raw material consumption of a single finished product and the standard raw material consumption of a single finished product is calculated to obtain the raw material consumption assessment parameter. When the raw material consumption assessment parameter is greater than the preset value, processing and production control information is generated. Extract the finished product test information, which is the pass rate of the finished product test of wood shavings. When the pass rate of the finished product test of wood shavings is less than the preset value, the processing production control information is generated.

[0016] Furthermore, the specific process for obtaining finished product testing information is as follows: The finished product was subjected to density testing, water absorption thickness swelling rate testing, moisture content testing, tensile properties testing, and impact properties testing. If the density test results obtained are not up to standard, it means that the test has failed. When the test result of the water absorption thickness expansion rate test is greater than the preset value, it means that the test has failed. When the moisture content test result exceeds the preset range, it means that the test has failed. When the test result of the tensile properties is less than the preset value, it means that the test has failed. If the test result of the impact performance test is less than the preset value, it means that the test has failed.

[0017] The present invention has the following advantages over the prior art: The generated environmental control information enables intelligent adjustment of the environment in the processing workshop and raw material storage in wood shavings processing, reducing the impact on production quality caused by environmental anomalies and the occurrence of accidents caused by environmental problems; By analyzing and managing the generated images, intelligent supervision was implemented for the wood shavings processing workshop and raw material storage, ensuring the production safety of the processing workshop and the safety of the raw material storage. The generated raw material control information can promptly detect whether the status of the raw materials is abnormal, thereby reducing the damage to production equipment caused by abnormal raw materials. By generating processing control information, the system intelligently monitors and analyzes the finished products, thereby understanding the production status and making timely adjustments and controls when abnormalities are detected, thus ensuring product quality. This achieves more comprehensive intelligent control of wood shavings processing, making the system more worthy of widespread use. Attached Figure Description

[0018] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0019] The embodiments of the present invention are described in detail below. These embodiments are implemented based on the technical solution of the present invention, and provide detailed implementation methods and specific operation processes. However, the scope of protection of the present invention is not limited to the following embodiments.

[0020] Example 1: like Figure 1 As shown, this embodiment provides a technical solution: the intelligent control system for wood shavings processing described in this invention includes a production environment acquisition module, a production image acquisition module, a raw material information acquisition module, a finished product information acquisition module, a data processing module, and an information sending module; The production environment data acquisition module is used to collect production environment information; The production image information acquisition module is used to acquire production image information; The raw material information acquisition module is used to collect raw material information; The finished product information collection module is used to collect finished product information; The data processing module is used to process production environment information, production image information, raw material information and finished product information to obtain environmental control information, image analysis control information, raw material control information and processing production control information; The information sending module is used to send the environmental control information, image analysis control information, raw material control information and processing and production control information to the preset receiving terminal after they are generated.

[0021] Environmental control information includes environmental control information for the processing workshop and environmental control information for raw material storage. Extract the collected production environment information, which includes processing workshop environment information and raw material storage environment information; The environmental information of the processing workshop includes information on air flow, temperature, humidity, and dust concentration within the workshop. The airflow information in the workshop is analyzed, and when there is an anomaly in the airflow velocity information in the workshop, environmental control information for the processing workshop is generated. The ambient temperature information in the workshop is analyzed. When the ambient temperature in the workshop is greater than the preset value a1, the environmental control information of the processing workshop is generated. Users can set the preset value a1 according to actual needs. When a1 is set to 36 degrees Celsius, the environmental control information of the processing workshop is generated when the ambient temperature in the workshop is greater than 36 degrees Celsius. At this time, the environmental control information in the processing workshop is about adjusting the workshop temperature. Controlling the ambient temperature can improve production efficiency. A suitable ambient temperature helps the machinery operate normally, reducing downtime caused by overheating or overcooling, thereby increasing production efficiency. It also ensures product quality. During the production process, the physical and chemical properties of wood shavings are affected by temperature. By controlling the ambient temperature, the stability and consistency of product quality can be ensured. Temperature control also protects equipment from damage caused by extreme temperatures, extending equipment lifespan. The humidity information within the workshop is analyzed. When the humidity exceeds a preset value b1, environmental control information for the processing workshop is generated. This information specifically controls the humidity of the processing workshop. Humidity control prevents wood deformation, as the moisture content of wood changes with humidity. Excessive or insufficient humidity can lead to wood deformation. Maintaining humidity within a reasonable range effectively prevents wood shavings from warping, improving product quality. Suitable humidity conditions help maintain good cutting and bonding properties of wood during processing, reducing processing difficulty and costs. High humidity environments easily breed mold, causing pollution to the wood and the processing environment. Controlling humidity effectively inhibits mold growth and maintains the cleanliness and hygiene of the processing workshop. The ambient humidity in a wood particleboard processing workshop should be controlled between 8% and 12%. This humidity range helps maintain the dimensional stability of the particleboard and prevents deformation. Excessive humidity may cause the particleboard to swell, warp, and mold, while insufficient humidity may cause it to crack. Users can set b1 to any value between 8% and 12% according to their needs. When the ambient dust concentration exceeds the preset value c1, environmental control information for the processing workshop is generated. This information specifies the need for dust control measures within the workshop to protect employee health: long-term inhalation of air containing large amounts of dust can easily lead to respiratory diseases and other occupational illnesses. Controlling dust concentration reduces the risk of employee exposure to dust, protecting employee health and improving product quality. Dust adhering to the surface of wood shavings affects the appearance and quality of the product. Reducing dust concentration minimizes the impact of dust on product quality and reduces environmental pollution: dust emissions pollute the atmosphere. Controlling dust concentration and implementing appropriate treatment measures reduces environmental pollution from dust emissions and prevents accidents such as dust explosions caused by excessively high dust concentrations. For wood particleboard processing workshops, the ambient dust concentration should be controlled within the range required by relevant standards and regulations. Generally, for general industrial sites, the dust concentration should not exceed 10 mg / m³; for dust containing specific components (such as free silica), the concentration limit may be more stringent. For wood dust, the minimum concentration (C1) is 10 mg / m³. When the ambient humidity in the workshop is greater than the preset value b2 and the ambient dust concentration is greater than the preset value c2, the environmental control information of the processing workshop is generated. At this time, the specific content of the environmental control information of the processing workshop is that humidity and dust concentration need to be adjusted at the same time to prevent dust from absorbing water and accumulating together and adhering to the processing equipment and finished products. A specific example of the above process is that when b2 > 5% and the ambient dust concentration is greater than the preset value of 8 mg / m³, environmental control information for the processing workshop is generated. When the ambient temperature in the workshop is lower than the preset value a2 and the ambient humidity in the workshop is higher than the preset value b1, environmental control information for the processing workshop is generated. At this time, the specific content of the environmental control information for the processing workshop needs to simultaneously adjust the temperature, humidity and dust concentration in the workshop to avoid production accidents caused by the dust absorbing moisture and freezing due to excessively low temperature. A specific example of the above process is as follows: When a2 is less than 0 degrees Celsius, the humidity information in the workshop environment is greater than the preset value b1, which is greater than 8%. Among them, a1 > a2, b1 > b2, c1 > c2; Extract raw material storage environment information, including raw material storage temperature information and raw material storage humidity information; When the raw material storage temperature information or the raw material storage humidity information exceeds the preset value, raw material storage environment control information is generated. Wood is hygroscopic, and its moisture content changes with the ambient humidity. If the storage environment is too humid, the wood will absorb a large amount of water, causing it to swell and deform; conversely, if the humidity is too low, the wood will lose water and shrink. Therefore, by controlling the humidity of the storage environment, the moisture content of the wood can be kept stable, preventing deformation and ensuring that the processed wood shavings are dimensionally accurate and of consistent quality. The physical and chemical properties of wood are affected by temperature. Excessively high or low temperatures can cause changes in the internal stress of the wood, affecting its stability. Maintaining the temperature of the storage environment within a suitable range can preserve the stability of the wood and prevent problems such as cracking and deformation during use. Suitable ambient temperatures can reduce the occurrence of pests and corrosion. Excessively high temperatures accelerate the growth of microorganisms inside the wood and the decay process; while excessively low temperatures may cause the moisture inside the wood to freeze and expand, leading to cracking. Therefore, by controlling the temperature of the storage environment, it is possible to create conditions unfavorable to pests and corrosion.

[0022] The airflow information within the workshop includes the airflow velocity and airflow direction within the workshop. The process of acquiring air flow information in the workshop is as follows: At least four sets of air information acquisition devices are set up in the wood shavings processing workshop. The four sets of air information acquisition devices simultaneously collect air flow velocity information and air flow direction information in the workshop. The air velocity information in the workshop was extracted, which included air velocity information collected by four sets of air information acquisition devices; When any one of the four air velocity values ​​is less than the preset value f1, it indicates that the air flow information in the workshop is abnormal. When the average of the four air velocity values ​​is less than the preset value f2, it indicates that the air flow information in the workshop is abnormal. Users can set the values ​​of f1 and f2 according to their actual needs, such as setting f1 to 0.25 m / s and f2 to 0.5 m / s; If any one of the four air velocity values ​​is less than 0.25 m / s, it indicates that the air flow information in the workshop is abnormal. When the average of the four air velocity data is less than 0.5 m / s, it indicates that the air flow information in the workshop is abnormal. The airflow information within the workshop includes airflow data collected by four sets of air data acquisition devices; Next, the floor plan of the processing workshop was extracted, and the ventilation direction in the workshop was marked on the floor plan. Then, the air flow direction collected by the four sets of air information collection devices was marked on the floor plan of the processing workshop. Then, the angle between the air flow direction collected by the four sets of air information collection devices and the ventilation direction in the workshop was measured to obtain four evaluation parameters. For example, when the ventilation direction in the workshop is north-south, the air flow direction collected by four sets of air information acquisition devices is extracted, and the air flow direction collected by the four sets of air information acquisition devices is also extracted, i.e., the real-time air flow direction. Then, the angle between the real-time air flow direction collected by a single air information acquisition device and the ventilation direction in the workshop is measured, i.e., the angle between the real-time air flow direction and the ventilation direction in the workshop, i.e., a single evaluation parameter is obtained. Then, the angle between the real-time airflow direction of the remaining air information acquisition equipment and the ventilation direction of the workshop was extracted to obtain the remaining three evaluation parameters; When any one of the four evaluation parameters is greater than the preset value, it indicates that there is an abnormality in the air flow information in the workshop; Through the above process, we can understand the airflow conditions within the processing workshop and adjust it accordingly. Adjusting airflow improves ventilation conditions. By rationally arranging ventilation equipment and controlling airflow direction, we can ensure smooth airflow within the processing workshop, reducing the accumulation of harmful gases and dust. Good ventilation helps lower the temperature and humidity within the workshop, improving employee comfort and thus increasing work efficiency. Poor ventilation may lead to the accumulation of flammable gases or dust, increasing the risk of fire and explosion. By controlling airflow direction and improving ventilation conditions, these safety hazards can be reduced.

[0023] Image analysis and control information includes control information for the processing workshop and control information for raw material storage; Extract the collected image information, which includes images of the processing workshop and raw material storage. The image information of the processing workshop is processed for identification. When abnormal behavior is identified, the processing workshop control information is generated. The raw material storage image information is analyzed and processed. When storage anomalies are detected, raw material storage control information is generated. The specific process for identifying abnormal behavior is as follows: Extract the image information of the processing workshop, identify the cutting equipment from the image information, and identify the raw material cutting equipment; After identifying the raw material cutting equipment, establish protective zones and abnormal zones; Human body identification is performed within the protected area. When a person other than the equipment operator is identified within the protected area, abnormal behavior is detected. Import protective clothing models and identify protective clothing models of equipment operators. Abnormal behavior is identified when the protective clothing model is not identified in the human image of the operator. Abnormal behavior is identified when no human body is detected within the protected area and the cutting equipment is still in operation. Human body recognition is performed in abnormal areas. When a human body is recognized in an abnormal area, abnormal behavior is identified. The above-described process helps prevent accidents. Cutting equipment is a critical component in wood shavings processing and a potential source of danger. Establishing a protected area and monitoring personnel activity within it in real time effectively prevents unauthorized personnel from entering the hazardous area, thus avoiding mechanical injuries and other safety accidents. Once video analysis detects unauthorized personnel entering the protected area, an early warning mechanism can be immediately activated, notifying relevant personnel to take timely measures and eliminate potential safety hazards at their inception. Cutting operations require a high degree of focus and precise operation. By establishing a protected area and restricting access for unauthorized personnel, interference with operators can be reduced, improving their work efficiency and operational quality. The designated safety zone helps prevent direct injury. The cutting equipment blades are extremely dangerous when rotating at high speeds; if someone accidentally enters this area, they could suffer severe cuts. By creating a protective zone in front of the blade's rotation direction, personnel can be effectively prevented from entering, thus preventing such direct injuries. It also reduces the risk of splintering wood chips. During cutting, a large amount of wood chips are generated, which can fly everywhere due to the rotating blades. The protective zone reduces the area of ​​wood chip splashing, lowering the risk of injury to operators and those nearby.

[0024] The specific processes for establishing protective zones and abnormal zones are as follows: Extract the identified cutting device, draw a circle with the center point of the cutting device as the center and the preset length u1 as the radius, and then draw a rectangle circumscribed to the circle. The area within the rectangle is the protection area. After identifying the cutting equipment, the position of the cutting blade of the cutting equipment is marked. Then, a circle is drawn with the position of the cutting blade as the center and the preset length u2 as the radius to obtain the selection area. Then, the cutting direction of the cutting blade is collected, and half of the selection area in the same direction as the cutting direction of the cutting blade is marked as the abnormal area, u2>u1.

[0025] The analysis process for warehouse anomalies is as follows: The acquired raw material storage image information was extracted, and multiple preset prompt signs were set in the raw material warehouse; The preset prompt sign model is imported into the raw material storage image information for recognition processing. Then, the number of the recognized preset prompt sign model is extracted and marked as G1. Then, collect the standard number of preset prompts and mark it as G2. When G2 is greater than G1, it indicates a storage abnormality. If an incomplete preset prompt icon is found during the identification process, it indicates a storage abnormality. Through the above process, it is possible to determine whether safety signs in the raw material storage area are obscured or covered by sawdust or dust. Timely detection and cleaning can enable the pre-set warning signs to better fulfill their warning function, thereby ensuring storage safety.

[0026] Then, extract the raw material storage image information, import the preset insect model, identify the preset types of insect models in the raw material storage image information, and record the number of preset types of insect models identified within a preset time period. When the number of preset types of insect models identified within a preset time period is greater than a preset value, it indicates a storage abnormality. Through the above process, pests can be detected and controlled in a timely manner. Image information analysis can promptly identify signs of insect activity in stored raw materials, such as crawling, feeding, and egg-laying. This early warning helps companies take swift action to prevent further spread and aggravation of pests. Image information analysis can accurately pinpoint the area and extent of pest infestation, enabling companies to take targeted measures, reducing unnecessary resource waste and cost expenditures, and minimizing raw material losses. Severe pest infestations can lead to significant damage or even scrapping of raw materials, resulting in economic losses for the company. Timely detection and treatment of pests through image information analysis can effectively reduce such losses.

[0027] The specific process for obtaining raw material control information is as follows: Extract the collected raw material information, which includes raw material quantity information and raw material testing information; Raw material testing information includes the quantity of raw materials tested and the number of abnormal test results; The number of abnormal test results is marked as Z1, the number of raw materials tested is marked as Z2, and the raw material quantity information is marked as Z3; The raw material evaluation parameter Zz is obtained by using the formula Z1 / Z2*Z3*α=Zz, where 1.01≤α≤1.1, and α is proportional to the raw material quantity information Z3. When the raw material evaluation parameter Zz is greater than the preset value, raw material control information is generated. At this time, the specific content of the raw material control information is abnormal consumption of raw material quality, and the cause of the abnormality needs to be eliminated. For example, if the number of abnormal test results Z1 is 4, the number of raw materials tested Z2 is 10, and the raw material quantity information Z3 is 100, then α is taken as 1.05; The result obtained by using the formula Z1 / Z2*Z3*α=Zz is 4 / 10*100*1.05=42; At this time, the preset value is set by the user according to their needs. When the preset value is set to 20, the raw material evaluation parameter Zz obtained is 42, which is greater than the preset value, indicating that there is an anomaly. The raw material inspection process described above, specifically metal detection, protects the safety of machinery. Metal impurities such as screws, nuts, and metal pieces, if not detected and removed promptly, can damage blades before they enter the cutting or chipping equipment, leading to downtime and increased production costs. Metal detection removes these impurities before the raw material enters the equipment, protecting blades and other mechanical components from damage and reducing the risk of failure. Metal impurities can also cause malfunctions or damage to other parts of the equipment, such as clogging conveyor pipes or damaging motors. Metal detection significantly reduces these risks, improving equipment stability and reliability. It also prevents splash injuries; metal impurities in the equipment can be splashed due to impact or friction, potentially injuring nearby workers. Metal detection allows for the timely detection and removal of these potential hazards, ensuring worker safety.

[0028] The specific process for obtaining processing and production control information is as follows: Extract the collected finished product information, which includes finished product quantity information, raw material consumption and finished product testing information; By calculating the ratio of finished product quantity information to raw material consumption, the raw material consumption of a single finished product is obtained. The difference between the raw material consumption of a single finished product and the standard raw material consumption of a single finished product is calculated to obtain the raw material consumption assessment parameter. When the raw material consumption assessment parameter is greater than the preset value, processing and production control information is generated. Extract the finished product test information, which is the pass rate of the finished product test of wood shavings. When the pass rate of the finished product test of wood shavings is less than the preset value, the processing production control information is generated. At this point, the specific content of the processing and production control information needs to be adjusted according to the processing technology to ensure the yield rate; By analyzing the raw material consumption of individual finished products, companies can understand the differences in raw material consumption between different production batches, different equipment, or different operators. This helps companies identify and correct waste in the production process, achieve precise control of raw material consumption, and reduce production costs. Based on the correlation analysis between finished product test results and raw material consumption, companies can adjust and optimize production parameters, such as cutting speed, pressure, and temperature, to improve production efficiency and product quality. If quality problems occur in finished products, companies can quickly trace back to the specific production batch and the source of raw materials to take timely corrective measures.

[0029] The specific process for obtaining finished product testing information is as follows: The finished product was subjected to density testing, water absorption thickness swelling rate testing, moisture content testing, tensile properties testing, and impact properties testing. If the density test results obtained are not up to standard, it means that the test has failed. When the test result of the water absorption thickness expansion rate test is greater than the preset value, it means that the test has failed. When the moisture content test result exceeds the preset range, it means that the test has failed. When the test result of the tensile properties is less than the preset value, it means that the test has failed. If the test result of the impact performance test is less than the preset value, it means that the test has failed.

[0030] Table 1 Actual Test Results

[0031] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0032] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0033] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. An intelligent management and control system for wood shavings processing, characterized in that: It includes production environment acquisition module, production image acquisition module, raw material information acquisition module, finished product information acquisition module, data processing module and information sending module; The production environment collection module is used to collect production environment information; The production image information acquisition module is used to acquire production image information; The raw material information collection module is used to collect raw material information; The finished product information collection module is used to collect finished product information; The data processing module is used to process the production environment information, production image information, raw material information and finished product information to obtain environmental control information, image analysis control information, raw material control information and processing production control information; The information sending module is used to send the environmental control information, image analysis control information, raw material control information and processing and production control information to a preset receiving terminal after the above information is generated.

2. The intelligent management and control system for wood shavings processing according to claim 1 is characterized in that: The environmental control information includes processing workshop environmental control information and raw material storage environmental control information; Extract the collected production environment information, which includes the processing workshop environment information and the raw material storage environment information; The processing workshop environment information includes the air flow information, the ambient temperature information, the ambient humidity information and the dust concentration information in the workshop; Analyze the air flow information in the workshop. When there is an abnormality in the air flow rate information in the workshop, the environment control information of the processing workshop is generated; Analyze the ambient temperature information in the workshop. When the ambient temperature in the workshop is greater than the preset value a1, the environmental control information of the processing workshop is generated; Analyze the environmental humidity information in the workshop. When the environmental humidity information in the workshop is greater than the preset value b1, the environmental control information of the processing workshop is generated; When the ambient dust concentration is greater than the preset value c1, the environmental control information of the processing workshop is generated; When the ambient humidity information in the workshop is greater than the preset value b2, and the ambient dust concentration is greater than the preset value c2, the processing workshop environment control information is generated; When the ambient temperature in the workshop is less than the preset value a2 and the ambient humidity in the workshop is greater than the preset value b1, the environmental control information of the processing workshop is generated; Among them, a1>a2, b1>b2, c1>c2; Extracting raw material storage environment information, the raw material storage environment information includes raw material storage temperature information and raw material storage humidity information; When the raw material storage temperature information is greater than the preset value or the raw material storage humidity information is greater than the preset value, the raw material storage environment control information is generated.

3. The intelligent control system for wood shavings processing according to claim 2 is characterized in that: The air flow information in the workshop includes air flow velocity information in the workshop and air flow direction information in the workshop; The process of obtaining the air flow information in the workshop is as follows: at least four sets of air information collection equipment are set up in the wood shavings processing workshop, and the four sets of air information collection equipment simultaneously collect the air flow rate information and the air flow direction information in the workshop; Extract the air velocity information in the workshop, which includes the air velocity information collected by four sets of air information collection devices; When any of the four air flow rate information is less than the preset value f1, it means that the air flow information in the workshop is abnormal; When the average of the four air flow rate information is less than the preset value f2, it means that the air flow information in the workshop is abnormal; The air flow information in the workshop includes the air flow direction collected by four sets of air information collection equipment; Then, the plan of the processing workshop is extracted, and the ventilation direction in the workshop is marked on the plan. Then, the air flow directions collected by the four sets of air information collection devices are marked on the plan of the processing workshop. Then, the angle between the air flow directions collected by the four sets of air information collection devices and the ventilation direction in the workshop is measured to obtain four evaluation parameters. When any of the four evaluation parameters is greater than the preset value, it means that there is an abnormality in the air flow information in the workshop.

4. The intelligent control system for wood shavings processing according to claim 1 is characterized in that: The image analysis control information includes processing workshop control information and raw material storage control information; Extract the collected image information, which includes the image information of the processing workshop and the image information of the raw material storage; Identify and process the image information of the processing workshop. When abnormal behavior is identified, the processing workshop control information is generated; The raw material warehouse image information is analyzed and processed, and when storage anomalies are found, raw material warehouse management and control information is generated.

5. The intelligent control system for wood shavings processing according to claim 4 is characterized in that: The specific process of identifying and processing the image information of the processing workshop and generating the processing workshop control information when abnormal behavior is identified is as follows: Extract the acquired processing workshop image information, identify the cutting equipment from the processing workshop image information, and identify the raw material cutting equipment; After identifying the raw material cutting equipment, set up protection areas and abnormal areas; Human body recognition is performed in the protection area. When a person other than the equipment operator is identified in the protection area, abnormal behavior is identified; Import the protective wear model and identify the protective wear model of the equipment operator. When the protective wear model is not identified on the operator's body image, abnormal behavior is identified; When no human body is identified in the protection area and the cutting equipment is still in operation, abnormal behavior is identified; Human body recognition is performed in abnormal areas. When a human body is recognized in the abnormal area, abnormal behavior is recognized.

6. The intelligent control system for wood shavings processing according to claim 5 is characterized in that: The specific process of establishing the protection area and the abnormal area after identifying the raw material cutting equipment is as follows: Extract the identified cutting equipment, draw a circle with the center point of the cutting equipment as the center and the preset length u1 as the radius, and then draw a rectangle circumscribed to the circle. The range within the rectangular domain is the protection area; After the cutting device is identified, the cutting blade position of the cutting device is marked, and then a circle is drawn with the cutting blade position as the center and the preset length u2 as the radius to obtain the selected area. Then, the cutting direction of the cutting blade is collected, and the 1 / 2 selected area in the selected area that is in the same direction as the cutting direction of the cutting blade is marked as an abnormal area, u2>u1.

7. The intelligent control system for wood shavings processing according to claim 5 is characterized in that: The analysis process of analyzing and processing the raw material storage image information and generating raw material storage management and control information when storage anomalies are found is as follows: Extract the acquired raw material storage image information and set multiple preset prompt signs in the raw material warehouse; The preset prompt identification model is imported into the raw material storage image information for recognition processing, and then the number of recognized preset prompt identification models is extracted and marked as G1; Then collect the standard quantity of the preset reminder mark and mark it as G2. When G2 is greater than G1, it means that the storage is abnormal. In the process of identifying the preset prompt mark, if it is found that the identified preset prompt mark is incomplete, it means that the warehouse is abnormal.

8. The intelligent control system for wood shavings processing according to claim 7 is characterized in that: The extracting of the acquired raw material warehouse image information and setting of a plurality of preset prompt marks in the raw material warehouse include: importing a preset insect model, identifying preset types of insect models for the raw material warehouse image information, and recording the number of preset types of insect models identified within a preset time period; when the number of preset types of insect models identified within the preset time period is greater than a preset value, it indicates a storage abnormality.

9. The intelligent management and control system for wood shavings processing according to claim 1 is characterized in that: The specific process of obtaining the raw material control information is as follows: extracting the collected raw material information, the raw material information including raw material quantity information and raw material detection information; Raw material testing information includes the number of raw materials tested and the number of abnormal test results; The number of abnormal test results is marked as Z1, the number of tested raw materials is marked as Z2, and the raw material quantity information is marked as Z3; The raw material evaluation parameter Zz is obtained through the formula Z1 / Z2*Z3*α=Zz, where α is the correction value; When the raw material evaluation parameter Zz is greater than the preset value, raw material control information is generated.

10. The intelligent management and control system for wood shavings processing according to claim 1 is characterized in that: The specific process of obtaining the processing and production control information is as follows: extracting the collected finished product information, which includes finished product quantity information, raw material consumption and finished product testing information; By calculating the ratio of the finished product quantity information to the raw material consumption, the raw material consumption of a single finished product is obtained, and the difference between the raw material consumption of a single finished product and the standard single finished product raw material consumption is calculated to obtain the raw material consumption evaluation parameter. When the raw material consumption evaluation parameter is greater than the preset value, the processing and production control information is generated; The finished product test information is extracted. The finished product test information is the finished product test pass rate of the wood shavings processing. When the finished product test pass rate of the wood shavings processing is less than the preset value, the processing and production control information is generated.

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