1325results about How to "Avoid quality problems" patented technology

The invention discloses a casting product appearance defect detection method and system based on machine vision, and particularly relates to the technical field of casting product defect detection. According to the method, casting materials of a production line are divided into different categories, the casting materials with abnormal absorptivity are identified, terahertz wave scanning is carried out on the casting materials, scattering images are obtained, and the stability of scattering point density distribution is evaluated; scanning by using a terahertz time-domain spectrometer, analyzing an amplitude fluctuation state of a time-domain signal and evaluating a waveform distortion degree; after comprehensive analysis, the quality of images captured by the imaging system is evaluated, the images are divided into different grades, defect detection is directly carried out on high-quality images, the quality images are centered, the accuracy of the images is analyzed, and the transmitting power and the scanning speed of terahertz imaging equipment are dynamically adjusted, so that the imaging quality is improved, and the accuracy and the efficiency of detection are remarkably improved; and the quality and safety of casting products are ensured, and the product quality problem and potential equipment faults caused by untimely defect detection are effectively avoided.

The invention relates to the technical field of non-woven fabric production monitoring, and particularly discloses an intelligent monitoring method and system for a high-performance fiber non-woven fabric production line. The method mainly comprises the steps of obtaining a data set of a non-woven fabric production line; the fiber uniformity in the fiber image is calculated, whether the fiber uniformity belongs to a preset interval or not is judged, if not, the fiber putting speed, tension, temperature and humidity of the module area are input into a prediction model, and the fiber prediction uniformity in the specified time in the future is obtained; judging whether the fiber prediction uniformity belongs to a preset interval or not; and adjusting the fiber feeding speed and tension of the module area based on the analysis processing result. According to the method, the change trend of the fiber uniformity can be quickly identified and predicted, potential parameter anomalies can be identified in advance, production management personnel can take preventive measures before problems occur, meanwhile, the calculation amount can be effectively reduced, adjustment measures can be implemented more quickly, and therefore the production efficiency and the product quality are improved.

The invention provides a mold injection control method and device for electric toothbrush plastic molding, and relates to the technical field of plastic injection molding.The method comprises the steps that geometric data of an electric toothbrush and physical performance data of a plastic part are obtained, and an electric toothbrush mold model is initialized; initializing particle swarm parameters, performing material flow path optimization, and performing iteration to obtain an optimized mold model; injection molding simulation is conducted, and mold injection molding performance influence parameters are obtained; constructing an injection molding control strategy library, and performing matching retrieval to obtain a matched injection molding control strategy; selecting interval division is conducted, and a mold injection molding control strategy parameter interval is obtained; constructing a fitness function; global optimization is carried out, target mold injection control strategy parameters are determined, and mold injection control over electric toothbrush plastic forming is carried out. The technical problems that in the prior art, injection molding parameter optimization is always started after mold manufacturing is completed, and control parameters are adjusted through trial and error, so that cost is high, and efficiency is low are solved.

The invention relates to the technical field of temperature control, in particular to a traditional Chinese medicine raw material extraction process temperature control system and method.The system comprises a real-time environment monitoring module, a temperature prediction adjusting module, an abnormal temperature analysis module and a temperature control optimization response module; collecting a temperature signal of the traditional Chinese medicine raw material extraction equipment, and recording the humidity change of the extraction environment. According to the invention, through real-time acquisition and analysis of temperature and humidity data, the precision and the reaction speed of temperature regulation are further improved, so that even tiny temperature fluctuation can be detected and brought into regulation, through temperature prediction, the system can effectively predict the future temperature change trend, and through the combination of the prediction capability and the instant reaction, the real-time performance of the system is improved. The temperature in the extraction process is maintained in the optimal state, the extraction rate and quality of effective components are greatly optimized, and due to timely recognition and regulation of abnormal temperature points, potential quality problems are prevented, and energy consumption is reduced.

The invention relates to the technical field of numerical control machine tools, in particular to a numerical control machine tool digital twin model updating method and system. The method comprises the following steps: acquiring actual processing technology data; performing cutting process simulation according to the actual machining process data and the digital twin model of the numerical control machine tool to obtain cutting process data; performing tool wear state feature analysis on the cutting process data to obtain tool wear state data; updating a tool model according to the tool wear state data to obtain an updated tool model; according to the updated cutter model, dynamic contact state solving is carried out, and a dynamic contact solving result is obtained; and performing contact key data analysis on a dynamic contact solving result to obtain cutter-workpiece dynamic contact information. According to the method, the modeling precision and the simulation reliability are greatly improved, so that the digital twin model can reflect complex processing conditions more truly, and a reliable decision basis is provided for process optimization.

The invention provides a traditional Chinese medicine formula granule quality tracing system based on data fusion, and relates to the technical field of data processing. Multiplying the actual value of each key feature by the corresponding weight and the dynamic adjustment factor to obtain a weighted key feature value; summing all the weighted key characteristic values to obtain a comprehensive quality index; comparing the comprehensive quality index with a corresponding quality standard to obtain a comparison result; according to a comparison result, performing quality judgment on the new data of the traditional Chinese medicine formula granules, and if the comprehensive quality index is lower than a quality standard, judging that the traditional Chinese medicine formula granules in the corresponding batch have quality problems; and analyzing the weighted key feature values to obtain key features having negative effects on the comprehensive quality index. According to the invention, the efficiency and accuracy of quality problem processing are improved.

The invention relates to the technical field of welding devices, and discloses a welding device and method for metal steel structure machining, the welding device comprises a supporting table, a supporting frame is fixedly connected to the top of the supporting table, and a welding machine is arranged at the bottom of the supporting frame; the welding device comprises a supporting table, a clamping device is arranged at the top of the supporting table, a protective device is arranged at the top of the clamping device, and a collecting device is arranged at the bottom of the supporting table. And meanwhile, a third spring moves to drive a clamping plate to move, so that secondary clamping can be conducted on the side face of the welding part, the clamping effect is further enhanced, the stability of the welding part in the welding process is improved, and deviation of the welding position is avoided.

The invention discloses intelligent low-clearance cast-in-place pile construction equipment, system and method. The construction site scanning and model building, paying-off and point position projection and correction, automatic construction path planning, drilling positioning, preparation work before drilling (burying of a soil layer structure integrity evaluation sensor), drilling construction and accurate control of perpendicularity and drilling depth, drilling lifting and in-hole environment detection are sequentially completed. And therefore, the intelligent construction operation of the cast-in-place pile is completed, the equipment has the construction characteristics of miniaturization and large drilling depth, and the intelligent construction operation under the low clearance working condition is perfectly achieved.

The invention provides a flow control method and system for a flowable engineering material. The flow control method comprises the steps that flow data of the flowable engineering material and current construction environment parameters are collected; the flow data and the current construction environment parameters are input into a preset flow prediction algorithm model for operation processing, and a flow trend prediction result is obtained; performing analysis according to the traffic trend prediction result and a preset traffic control strategy rule to obtain a traffic control adjustment parameter; and on the basis of the flow control adjustment parameters, operation parameters of the conveying equipment of the flowable engineering materials are adjusted, and the optimized flow output state is obtained. According to the flow control method and device, the flow trend prediction result is predicted in combination with the flow data of the engineering material and the current construction environment parameters, then the flow control adjustment parameters are generated, and the precision and stability of flow control are improved. And the problems of unstable flow, material waste or substandard construction quality are avoided.

The invention provides an aluminum plate processing online monitoring analysis system based on machine learning, relates to the technical field of aluminum material processing, and adopts a multi-sensor data acquisition system, a real-time data processing and analysis algorithm, an anomaly detection and early warning system, an intelligent optimization algorithm and a remote monitoring and control system to form the whole system. According to the system, various data parameters in the aluminum alloy material machining process are monitored in real time through a multi-sensor data acquisition system, and rapid and accurate processing and analysis are carried out through a real-time data processing and analysis algorithm; the abnormity detection and early warning system can give an alarm in time and provide corresponding processing suggestions to help operators to quickly take measures, and the system can automatically adjust processing parameters through analysis and learning of historical processing data and real-time monitoring data by using an intelligent optimization algorithm, so that comprehensive monitoring and analysis of the processing process can be realized, and the processing efficiency is improved. Product quality and production efficiency are improved, and production cost and manual intervention are reduced.

The invention provides an AI-driven photocuring 3D printing fault prediction method, and relates to the technical field of 3D printing, and the method comprises the steps: collecting printing parameters in real time based on a sensor installed on photocuring 3D printing equipment, and carrying out data preprocessing; multi-dimensional features of photocuring 3D printing are extracted, time sequence features and spatial features are analyzed, and high-dimensional feature vectors of photocuring 3D printing are obtained; marking the collected historical printing data as a normal data sample and a fault data sample, and training and optimizing the constructed fault prediction model in combination with the high-dimensional feature vector; printing parameters collected in real time are detected based on the trained fault prediction model, an obtained prediction result is compared with a preset early warning threshold value, and if the prediction result exceeds the threshold value, early warning is given out according to a fault grading result. By monitoring and analyzing key parameters in the printing process in real time, potential faults are predicted, automatic adjustment is carried out when abnormity occurs, and the reliability of the printing process and the product quality are improved.

The invention discloses a wafer film defect detection system and method, and relates to the technical field of wafer film defect detection.The wafer film defect detection method comprises the following steps that in the wafer film defect detection process, laser beams are emitted through a laser scanner according to the preset light beam coverage rate, and the surface of a wafer is covered for preliminary scanning; in the laser beam scanning process, the intensity and the consistency of laser reflection signals are analyzed in real time. According to the invention, preliminary scanning is carried out by presetting the light beam coverage rate, the significance of the potential flaw area is evaluated by using the convolutional neural network, accurate classification of the flaw obvious area and the flaw non-obvious area is realized, high-density secondary scanning is carried out by dynamically adjusting the light beam coverage rate for the flaw non-obvious area, and finer surface information is captured. The detection efficiency is improved, the risks of missing detection and false detection are effectively reduced, the accurate detection of tiny flaws is ensured, the quality control of wafer film pasting is remarkably improved, and the production loss is avoided.

The invention discloses an official document data processing method in a large model scene, and relates to the technical field of natural language processing, and the method comprises the steps: automatically collecting official document data from a multi-source channel, and carrying out format conversion and preprocessing optimization to obtain a data set; performing intelligent sampling on the data set by adopting a dynamic sampling algorithm, performing intelligent review on the sampled data, and making a cleaning strategy template library according to a review result; calling a cleaning strategy template library through a strategy configuration and execution engine to perform data cleaning, and executing data deduplication and similarity management; evaluating and reviewing the cleaned data; executing a set cleaning strategy and de-duplication on a data set in a large scale by utilizing a distributed computing framework; scientifically dividing the data set subjected to cleaning and duplicate removal, and converting the data set into an efficient storage format; the whole cleaning process is monitored in real time, and key steps and performance indexes in the data cleaning process are comprehensively recorded. The document data processing efficiency and response speed can be improved, and the labor cost is reduced.

The invention relates to the technical field of rolling of road rollers, in particular to an identification method and system for a rolling operation track of a road roller. The method comprises the following steps: acquiring a target rolling area; performing geographic space data acquisition on the target rolling area to obtain geographic environment data of the operation area; positioning the road roller to obtain position coordinates of the road roller; sensing the working environment of the road roller in real time to obtain a working environment three-dimensional model; performing topographic feature recognition on the three-dimensional model of the working environment to obtain environmental topographic feature mapping data; performing geographic topology analysis on the target rolling area based on the environmental topographic feature mapping data to obtain an operation area topology model; and carrying out matching analysis on the position coordinates of the road roller and the working area topology model to obtain a road roller working path candidate set. According to the invention, the workload that an operator needs to frequently stop to check and adjust the position of the road roller is reduced, so that the operation process is smoother.

The invention discloses a production line vehicle tracking method and system, and belongs to the technical field of automobile assembly, and the method comprises the steps: carrying out the detection and recognition of a vehicle entering a set area of the head of a production line body, and obtaining the vehicle information; when the vehicle enters a set position point, storing the vehicle information into vehicle queue information; the moving distance of the vehicle is obtained, and the distance information between the vehicle and the set position point is updated in real time; and querying the information of the vehicle entering the current station in the vehicle queue information according to the information of the distance between the vehicle and the set position point and the post configuration information of the corresponding station, and automatically triggering the corresponding process operation. According to the invention, accurate tracking, queue tracking and post mistake proofing of various vehicle positions of a final assembly production line can be satisfied, an effective means is provided for binding of related parameters in a vehicle production process, and powerful data support is provided for later product quality problem analysis and product quality improvement.

The invention relates to the technical field of sleep data processing, in particular to a sleep improvement environment sound control auxiliary method and system. The method comprises the following steps: acquiring sleep state data; performing sleep state feature extraction according to the sleep state data to obtain sleep state feature data; performing environmental sound type selection according to the sleep state feature data to obtain environmental sound type data; according to the environment sound type data and the sleep state feature data, environment audio rate adjustment and environment volume adjustment are carried out, environment audio rate adjustment data and environment volume adjustment data are obtained respectively, and sleep improvement environment sound control auxiliary work is carried out. According to the invention, the system can better adapt to the long-term sleep mode change of the user, and can help the user gradually establish a healthier sleep habit through long-term adjustment and optimization, thereby realizing long-term improvement of the sleep mode.

The invention discloses a tobacco shred boxing system and method, and relates to the technical field of tobacco production equipment. The tobacco shred boxing system comprises a tobacco box conveying line composed of a plurality of conveyors, a boxing station A and a boxing station B, wherein the boxing station A and the boxing station B are arranged on the tobacco box conveying line. A closed transverse tobacco shred conveyor is arranged between the boxing station A and the boxing station B. The middle of the closed transverse tobacco shred conveyor is connected with a closed longitudinal tobacco shred conveyor. The boxing station A and the boxing station B are each provided with an equipment outer frame and an equipment inner frame. A feeding hopper connected with the transverse tobacco shred conveyor, a sleeve box lifting mechanism located at an outlet of the feeding hopper, capable of vertically moving and connected with the tobacco box and the tobacco box located in the equipment inner frame and located on the tobacco box conveying line are sequentially installed on the equipment inner frame from top to bottom. The tobacco shred boxing system is used for automatic boxing of tobacco shreds, metering is accurate, dust raising and dust overflowing are effectively prevented, the structure is simple, boxing efficiency is high, and the boxing process is full-automatic.

The utility model provides a pile foundation concrete pouring over-pouring height measuring device which comprises an installation frame, a winding drum mechanism arranged on the installation frame, a coil spring arranged in the winding drum mechanism, a measuring rope with one end fixed and wound on the winding drum mechanism and a fixing piece connected with a reinforcement cage. The fixed part is arranged on the mounting frame, the floating ball mechanism is movably connected to the fixed part and connected with the other end of the measuring rope, the ratchet wheel is fixedly connected to the winding drum mechanism, and the alarm mechanism is arranged on the mounting frame and used for being matched with the ratchet wheel. The pile hole concrete surface ascends to push the floating ball mechanism to ascend, and then under the action of the coil spring, the winding drum measuring rope is driven to be shortened, the winding drum mechanism and the ratchet wheel are driven to rotate, so that the alarm mechanism matched with the ratchet wheel sends out a signal to remind constructors of the concrete pouring condition, and accurate control over the over-pouring height is achieved. Tediousness and uncertainty of manual judgment are avoided, and construction efficiency and construction quality of the pile foundation are effectively improved.

The invention relates to the technical field of five-axis hybrid robot error compensation, in particular to a five-axis hybrid robot tail end pose error compensation method and system. The method comprises the following steps: acquiring vehicle body welding demand data and analyzing the welding strength difference between welding spots; thirdly, the theoretical contact strength of the manipulator is matched according to the welding strength difference data, the heat conduction toughness loss of adjacent welding spots is simulated, and the toughness influence gradient of the heat chain reaction is further recognized; then, carrying out regional gridding processing on the toughness influence gradient data, regulating and controlling the contact force of the manipulator, and learning a tail end pose error compensation strategy; and finally, designing automatic firmware based on the compensation strategy, and embedding the automatic firmware into the bottom layer of the robot to ensure that the tail end pose error is accurately compensated. According to the method, the error compensation technology of the five-axis hybrid robot is optimized, so that the error compensation technology of the five-axis hybrid robot is more perfect.

The invention discloses a lithium hexafluorophosphate production control system and a method thereof, and relates to the technical field of lithium hexafluorophosphate production, and the method specifically comprises the following steps: obtaining crystallization dynamic information of each area in a reaction kettle in a lithium hexafluorophosphate crystallization process in real time, and analyzing after obtaining to obtain a crystallization dynamic result; respectively generating a crystal growth driving force coefficient and a particle uniform distribution index of each region; constructing a particle size distribution evaluation model for the generated crystal growth driving force coefficient and particle uniform distribution index of each region, generating a particle size distribution coefficient of each region, and performing comprehensive analysis after generation to generate an evaluation coefficient; and analyzing the generated evaluation coefficient, and evaluating the uniformity degree of particle size distribution in the reaction kettle in the lithium hexafluorophosphate crystallization process. The problem of uneven particle size distribution in the lithium hexafluorophosphate crystallization process is solved, and the effect of improving the particle size uniformity and the product quality stability is achieved.

The invention discloses a three-in-one laser flame composite cutting system with a dual height tracking function, which solves the problem of respective limitations of a traditional laser cutting system and a traditional flame cutting system through technologies of intelligent switching, fault self-inspection, path optimization, cloud linkage and the like, and improves the cutting efficiency, the cutting quality and the equipment reliability. The self-adaptive switching module can automatically select a laser cutting mode, a flame cutting mode or a laser-flame composite cutting mode according to real-time feedback, and it is ensured that the optimal cutting effect is always achieved under different thicknesses and cutting conditions; according to the dual height tracking technology, through cooperative work of a high-precision laser sensor and a flame sensor, accurate control over the height of the cutting head is guaranteed, and the cutting precision and the section quality are optimized. And the fault self-checking module monitors the state of the equipment in real time and automatically switches modes or manually operates in case of faults, so that the production continuity is ensured. The intelligent cutting path optimization module dynamically adjusts the cutting path and speed, reduces deformation of a heat affected zone, and improves the smoothness of the cutting edge.

According to the high-precision tension control system for the solar cell backboard coating line, high-precision tension control is achieved based on an SINAMICS 120 servo dragging system, a Siemens S7-300 series PLC is adopted as a control core, a PROFIBUS-DP field bus communication network is established, CPU317-2DP serves as a master station, a field remote IO module and a CU320 driving unit serve as slave stations, and the high-precision tension control system for the solar cell backboard coating line achieves high-precision tension control. An industrial personal computer is used as a man-machine interaction medium, normal operation of the whole production line is achieved by setting tension and production speed, tension control is performed in a mode of combining a floating roller and a high-sensitivity tension sensor, a high-precision servo system S120 is used for dragging, high-precision control of tension is achieved, and actual operation of the system shows that the production efficiency is greatly improved. Compared with a traditional tension control system, the system has the advantages of being stable in tension control, high in precision, stable in production speed, friendly in man-machine, capable of achieving non-stop roll changing and capable of completely meeting the requirement for continuous production of the back plate.

The invention relates to the technical field of quality detection, in particular to a meat dish quality detection system which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, a correction module and an alarm sending module. According to the method, the quality control level of the meat ball production line is effectively improved through accurate multi-parameter analysis and a step-by-step judgment mechanism, potential quality problems such as cracks, over-wet or over-dry defects can be accurately recognized by monitoring the moisture content, the sphericity and the deformation quantity of the meat balls in real time, the clamping pressure is dynamically adjusted, and the quality of the meat balls is improved. The system can adapt to different production conditions in real time, the influence of too large or too small clamping force on the shape and taste of meatballs is avoided, a real-time feedback mechanism of the correction module ensures that the production process can be rapidly adjusted during fluctuation, the defective rate in production is effectively reduced, and the production efficiency is improved. The problems of low detection precision and slow response speed caused by dependence on static data are effectively solved.

The invention discloses an automobile part grinding control system, which relates to the technical field of automobile part grinding control, and ensures that a grinding tool always keeps an optimal focal length and an accurate position in an operation process by accurately controlling a first focusing instruction, a first translation instruction and a first rotation instruction. A strain sensor is introduced to monitor the deformation of the workpiece in real time, and the deformation can be found in time and compensated in real time in the grinding process. The system can optimize temperature control management for different workpiece materials by considering heat conductivity coefficients k and heat conduction factors Rczz of different materials. Multiple factors of stress distribution, heat conduction, cooling efficiency and surface smoothness are considered by integrating the grinding quality index Mzqs, the machining quality grade is generated after comprehensive evaluation is provided for the grinding quality, parameters including the grinding depth, the workpiece feeding speed and the cooling system are adjusted according to the grade result, and therefore the machining quality of the final workpiece is improved.

The invention relates to the field of mold detection, in particular to a mold cavity anomaly detection method based on machine vision. The method comprises the steps of obtaining a preprocessed mold cavity surface grey-scale map, inputting the mold cavity surface grey-scale map into a preset neural network, outputting a probability value, and obtaining a mold cavity type according to the probability value; constructing a target grey-scale map according to the type of the die cavity, extracting an ROI region of the target grey-scale map, carrying out the grid division of the ROI region according to the probability value, obtaining a plurality of sub-regions, calculating the gradient consistency of the ROI region, and completing the abnormality detection of the die cavity. According to the technical scheme, the accuracy of abnormal detection of the die cavity can be improved, and the production quality of products is guaranteed.

The invention relates to the technical field of slag brick making equipment, and particularly discloses household garbage incineration slag recycling brick making equipment which comprises two fixing rods used for installing the brick making equipment and further comprises a lower die set fixedly installed on the fixing rods, and the lower die set is fixedly installed on the fixing rods. The lower die set contains an incineration slag mixture, and an inner cavity of the lower die set is enlarged and shrunk along with up-down movement. The upper module is in sliding connection with the lower module, a pressure source is applied to the upper module, and the upper module and the lower module work in a matched mode. According to the household garbage incineration slag recycling brick making equipment, after brick processing is completed, hydraulic equipment is started reversely, an extrusion plate is driven to move upwards to be combined with a bottom frame, then a movable cover is driven to move upwards, namely, a lifting plate is driven to move upwards through a lifting rod, the made bricks are made to be separated from a lower module, brick making integration is achieved, the production efficiency is greatly improved, and the production cost is reduced. Meanwhile, the bricks are suspended and convenient to take out.

The utility model provides a building foundation bearing platform capable of being assembled. The foundation bearing platform comprises a bearing platform body with a pile foundation pouring opening, inserting grooves are formed in the two adjacent side edges of one set of the bearing platform body respectively, locking mechanisms are arranged on the two sides of the inserting grooves respectively, inserting pieces are arranged on the two adjacent side edges of the other set of the bearing platform body respectively, and the inserting grooves and the inserting pieces on the opposite side edges are matched with each other. The two bearing platform bodies are spliced through the inserting grooves of the inserting pieces and clamped through the locking mechanism. Length adjusting plates are arranged on the two opposite sides of the bearing platform body respectively, the two sets of length adjusting plates are connected with the bearing platform body through telescopic mechanisms, and the inserting pieces or the inserting grooves on the sides, provided with the length adjusting plates, of the bearing platform body are correspondingly arranged on the side faces of the length adjusting plates. The bearing platform can be spliced and assembled according to specific building requirements, the overall construction progress can be accelerated, the construction period can be shortened, and the spliced and assembled bearing platform can be suitable for multiple piles.

The ship anchor chain automatic welding equipment comprises a base and an anchor chain arranged at the top of the base, a welding structure is arranged at the top of the base, the welding structure can weld the anchor chain, and the welding structure comprises a frame fixedly connected to the top of the base; the side, away from the base, of the frame is fixedly connected with a welding gun assembly, and the welding gun assembly is located at the top of the anchor chain and makes contact with a welding seam on the surface of the anchor chain. According to the anchor chain welding equipment, the welding structure with the fixing structure is arranged, welding seams on the surface of an anchor chain can be accurately welded, the welding quality is ensured through the direct contact design of the welding gun assembly, the welding efficiency and precision are improved, and through the integrated base, the welding structure, the fixing structure, the transmission structure, the traction structure and the linkage structure, the welding quality is improved. The automatic welding process of the ship anchor chain is achieved, due to the integrated design, the production efficiency is improved, manual intervention is reduced, and the welding quality and safety are ensured.

The invention relates to the technical field of transfer devices, and discloses a transformer insulation paper production transfer device which comprises a table, a conveying table is arranged at the top of the table, and a protection plate is fixedly connected to the top of the table. The rotating shaft rotates to drive the compression roller to rotate, so that the insulation paper which just rotates out of the rolling barrel can be leveled, the situation that the insulation paper is wrinkled and unsmooth in the transportation process in the subsequent production process is avoided, deflection or clamping stagnation of the insulation paper caused by unevenness of the insulation paper is emphatically reduced, the subsequent processing precision is improved, and the production efficiency is improved. And meanwhile, the first connecting plate moves upwards to drive the pressing plate to move upwards, so that the surface of the insulation paper can be further flattened, the flatness of the insulation paper in the transfer process can be improved, and the problem that the production efficiency is reduced due to uneven cutting in the follow-up link is solved.

The invention relates to the technical field of intelligent monitoring, and more specifically discloses an intelligent monitoring system and method for a circuit board electroplating production line, and the method comprises the steps: obtaining a current signal, temperature data and humidity data, extracting a corresponding feature vector and a feature matrix, constructing a circuit board electroplating key parameter feature vector, and then carrying out the calculation of a current signal, temperature data and humidity data; and analyzing the key parameter feature vectors of the circuit board electroplating by using a classifier to obtain a classification result which is used for representing whether the circuit board electroplating production process is abnormal or not. The intelligent monitoring system can monitor key parameters in the electroplating process in real time, carry out anomaly detection and early warning, help to prevent production line faults and quality problems, and improve the stability and reliability of a production line.