92results about How to "Realize intelligent adjustment" patented technology

The invention provides a power distribution network reliability cooperative control method and system under distributed power supply access, relates to the technical field of electric power, and designs a power distribution network reliability index system considering a distributed power supply based on a load demand uncertainty model, and adopts a Monte Carlo simulation method. Evaluating the reliability of the power distribution network in combination with the power distribution network reliability index system, and formulating a cooperative control strategy including distributed power supply output control, load demand response management and network topology reconstruction according to an evaluation result; a multi-target cooperative control optimization model with reliability improvement, economical efficiency optimization and environmental benefit maximization as targets is established, the multi-target cooperative control optimization model is solved by adopting an improved particle swarm algorithm, and an optimal cooperative control strategy is generated; and based on the optimal cooperative control strategy, issuing and executing a control instruction to each control object.

The invention discloses an intelligent navigation system and method for a ship in the technical field of ship navigation, and the system comprises a sensing module which is used for collecting the surrounding environment information and the state information of the ship in real time; the data processing and fusing module is used for preprocessing, calibrating and fusing the surrounding environment information and the self state information of the sensing module; the route optimization module is used for formulating a navigation plan and a collision avoidance strategy; the navigation control module is used for autonomously controlling the ship according to the output of the ship route optimization module; and the communication monitoring module monitors the navigation state of the ship and the change of the surrounding environment through real-time communication between the ship and a shore-based control center, other ships and a maritime affair management department. According to the method, data of different sensing units are associated, and the associated data are fused, so that mutual verification and complementation can be realized, and the accuracy and reliability of target identification are improved.

The invention discloses a method for realizing tobacco field yield prediction based on multi-source data analysis, and particularly relates to the technical field of tobacco yield prediction. Firstly, a tobacco planting area is divided into monitoring areas, multi-source data such as weather, soil, remote sensing images and actual yield are obtained in real time, the collected data are preprocessed, space-time consistency characteristics and information integrity characteristics are extracted, a comprehensive matching degree index is generated through calculation and weighting, on the basis, a yield prediction model is established, and a tobacco yield prediction result is obtained. The prediction value and the actual yield are compared and analyzed, if the deviation is large, model parameters are dynamically adjusted through fuzzy logic based on the comprehensive matching degree index and the actual yield data, and a data processing and fusion algorithm is optimized, so that the prediction precision is remarkably improved, and the field management risk caused by data isomerism is reduced.

The invention discloses an AI-based postoperative rehabilitation nursing system and method for old people, relates to the technical field of medical treatment, and aims to calculate a rehabilitation coefficient of a current nursing period based on a feature set, accurately evaluate rehabilitation states of a patient in different nursing periods and intelligently judge whether current nursing intervention needs to be adjusted or not. By dynamically optimizing the intervention strategy, the problem of excessive or insufficient intervention in traditional nursing is avoided. And the intervention optimization instruction is received and executed, and the intensity adjustment coefficient of the nursing intervention in the next time period is automatically generated, so that the intelligent adjustment of the nursing intensity is realized, the nursing scheme is more personalized, and the intervention blindness is reduced. In the optimized nursing intervention process, physiological and metabolic parameters of the patient are continuously monitored, an optimized feature set is generated, the nursing intensity is further adjusted, a closed-loop nursing process is formed, and the closed-loop dynamic optimization mechanism improves the nursing response speed and adjustment precision and greatly shortens the rehabilitation cycle of the patient.

The invention provides an automatic control system and method for vacuum bag film production, relates to the field of intelligent control, and adopts a data processing and coding technology based on deep learning to carry out local time sequence implicit coding of the extrusion speed of an extruder and carry out semantic embedding coding on thermophysical property description of a vacuum bag film material. Therefore, intelligent adjustment of the cooling temperature is realized according to quick query response representation between the material thermal physical property semantic embedding feature and the local time sequence implicit coding feature of each extrusion speed. Therefore, the description about the thermal physical characteristics of the material input by the user can be directly processed, and manual parameter adjustment is not needed, so that the system can adapt to new materials or formula changes, and the operation difficulty and the error probability are reduced. Meanwhile, real-time dynamic adjustment of production process parameters can be achieved, control precision is improved, fluctuation of key parameters such as temperature is reduced, and stability and consistency of products are guaranteed.

The invention relates to the technical field of online education, in particular to an interactive teaching method, system and device for online education and a medium. According to the invention, the timeliness of information transmission is enhanced through real-time labeling of a teacher and synchronous display of a student terminal; the understanding degree of the students is evaluated through the interactive answering task, so that the teacher can adjust the teaching strategy in time; secondly, comprehensively collecting student learning behavior data including annotation information viewing frequency, answering time, accuracy and the like, and generating personalized learning reports and teaching suggestions based on the multi-dimensional learning behavior data; the problem of real-time interaction is solved, comprehensive monitoring and accurate guidance of the learning process are realized through data analysis, and the effect of online education is remarkably improved.

The invention belongs to the technical field of coating manufacturing equipment, and particularly relates to a uniform stirring device for coating manufacturing, the uniform stirring device comprises a stirring bin, a driving mechanism, a linkage assembly, a stirring mechanism and a wall scraping assembly, the driving mechanism drives the linkage assembly to rotate, the stirring mechanism realizes combination of autorotation and revolution in the stirring bin, so that the coating is fully mixed, and the stirring efficiency is improved. The problem of stirring dead angles of a traditional stirring device is solved; according to the wall scraping assembly, the attaching state of a scraping plate and the inner wall of the stirring bin is adjusted through a hydraulic rod, when the rotating speed is high, the scraping plate is separated from the inner wall, friction and equipment abrasion are reduced, when the rotating speed is reduced, the scraping plate is attached to the inner wall, cleaning of the inner wall is achieved, coating residues are reduced, and stirring uniformity and production efficiency are improved.

The invention discloses an automatic production control system and method based on artificial intelligence, and relates to the technical field of coating automatic production, the system comprises a raw material processing module, a process intelligent mixing module, a self-adaptive packaging module and an automatic production control module; the output end of the raw material processing module is connected with the input end of the process intelligent mixing module; the output end of the process intelligent mixing module is connected with the input end of the self-adaptive packaging module; the automatic production control module is connected with the raw material processing module, the technology intelligent mixing module and the self-adaptive packaging module. According to the method, intelligent parameter adjustment in the automatic coating production process can be achieved, and the problem that the coating yield is low in the face of brand-new coatings or brand-new plant environments and brand-new machines is solved.

The invention relates to the technical field of printed circuit board production, and discloses an OSP coating thickness adjusting system and method in printed circuit board production, and the method comprises the steps: firstly constructing an element welding demand database, and determining a target coating thickness range according to the welding demand of a target element type and the real-time environment and material data of the surface of a printed circuit board; then, three different thickness values are obtained according to the welding requirement, the environment data and the material data of the target element type, and the three different thickness values are divided into corresponding thickness grades; according to the thickness grades, a coating thickness adjustment value is determined, and a coating thickness control value d4 is further calculated; finally, coating equipment parameters are adjusted according to the coating thickness control value d4, coating production is conducted, and it is ensured that the coating thickness meets the quality standard. According to the method, by comprehensively considering element types, environmental conditions and material characteristics, accurate control over the thickness of the OSP coating is achieved, and therefore the production efficiency and the product quality are improved.

The invention relates to the technical field of medical vending platforms, and discloses a medical vending platform mobile management method, device and equipment and a storage medium, and the method comprises the steps: creating an initial commodity shelving scheme based on the operation data of a vending machine of a medical vending platform, and collecting the image data of medical commodities; carrying out residual learning and two-stage feature extraction to obtain medical commodity feature data; inputting a medical commodity identification model to carry out medical commodity identification to obtain a medical commodity identification result; carrying out inventory detection, generating commodity inventory data, and sending the commodity inventory data to the mobile management terminal to generate a replenishment task instruction; inputting the RFID tag information and the replenishment task instruction into a replenishment execution unit, generating replenishment operation data, and updating real-time inventory information; the initial commodity shelving scheme is adjusted based on the real-time inventory information and the historical sales data, a target commodity shelving scheme is generated, and the method improves the operation efficiency and the service quality of a medical sales platform.

The invention provides a wind turbine generator system load dynamic prediction method based on wind direction change, and relates to the technical field of wind turbine generator system load prediction, and the method comprises the steps: collecting a real-time wind direction and a real-time wind speed; unit operation parameters are obtained; constructing a load prediction model according to the historical wind direction, the historical wind speed and the historical load data; inputting the real-time wind direction, the real-time wind speed and the unit operation parameters into a load prediction model to generate a load change; and adjusting unit operation parameters according to the load change. The technical problem that in the prior art, deep correlation analysis on multiple parameters such as the wind speed, the wind direction and the load is lacked, and consequently the stability of power output of the wind generating set and equipment are affected can be solved, and the technical purposes of real-time correlation analysis and intelligent adjustment on the wind speed, the wind direction and the load are achieved; the technical effects of timely responding to the wind environment change, improving the power output stability and ensuring the safe operation of the wind generating set are achieved.

The invention discloses a method for optimizing the cooling effect of a firefighter uniform based on an underarm heat dissipation channel, and relates to the technical field of fire-fighting equipment, and the method comprises the steps: S1, constructing an underarm heat dissipation initial data set; s2, quantifying a heat dissipation dynamic state and outputting underarm heat dissipation performance parameters; s3, airflow disturbance is adjusted through dynamic curvature, and a preliminary channel optimization model is generated in combination with a sectional channel design structure; s4, forming a multi-channel heat transfer model through a main and auxiliary channel parallel design and a layered coupling structure; s5, outputting a channel form model by adopting a non-circular wing-shaped cross section design and variable cross section transition; s6, embedding a guide vane and a spiral structure, and generating an airflow field optimization model; s7, generating a dynamically optimized armpit heat dissipation channel model by combining an ant colony optimization algorithm and a grey wolf optimization algorithm; and S8, obtaining a final optimized firefighter uniform underarm heat dissipation channel scheme. According to the method, armpit heat dissipation dynamic modeling, multi-channel optimization and hybrid intelligent algorithm tuning are adopted, and efficient armpit heat dissipation channel design is achieved.

The invention discloses a method for intelligently adjusting a thread pool, which is characterized by comprising the following steps of: judging the task execution capability of the thread pool by monitoring and comprehensively analyzing system performance indexes of logic CPU (Central Processing Unit) quantity, physical CPU utilization rate and memory utilization rate in the running process of the thread pool; therefore, the number of core threads and the maximum capacity of the task queue are automatically and elastically adjusted in real time, intelligent adjustment of the thread pool is achieved, dependence of parameter regulation on experience of technicians is reduced, the problems of unstable system performance, response time delay or resource waste and the like caused by improper parameter setting are reduced, and the service life of the system is prolonged. The operation efficiency and reliability of a service system are effectively improved, and the performance of the thread pool and the resource utilization rate are balanced.

The invention relates to the technical field of intravenous drug configuration teaching, in particular to a teaching system for intravenous drug configuration based on deep learning, which constructs a three-dimensional scene and collects operation data of a user in a virtual environment by acquiring live-action video data of intravenous drug configuration. Through semantic segmentation, an operation track is tracked in combination with a long and short-term memory network, a variable path matrix is generated, an operation score is generated by using a convolutional neural network, wrong operation is identified in time, and real-time feedback is provided. According to the method, training can be carried out only through a computer or VR equipment without depending on a large number of sites and equipment, students are helped to carry out timely correction in each step of operation through model evaluation and real-time feedback, and the operation accuracy and the learning effect are improved. Difficulty gradient adjustment is carried out in combination with scores, it is ensured that the training difficulty is matched with the skill level of students, personalized teaching is achieved, and the teaching effect is improved.

The invention provides a self-adaptive display method based on ambient light data of a mobile device, which relates to the technical field of display, and comprises the following steps: calibrating the brightness and color temperature range of a display device, collecting ambient light data, calculating a target display parameter, determining the brightness value and color temperature value of a target display according to the mapping relationship between the brightness and color temperature of the ambient light, and displaying the target display parameter. And a corresponding adjustment instruction is generated and sent to the display device to execute adjustment. The display parameters of the display equipment can be adaptively adjusted in real time according to the ambient light condition, the display effect is improved, and the visual fatigue of a user is reduced.

The invention provides a plasma source resonant cavity adjusting method and device and a resonant cavity, and relates to the technical field of resonant cavities, and the technical scheme is characterized in that shape information and depth information of an adjusting column in the plasma source resonant cavity are acquired; according to the task type, adjusting the shape information and the depth information of the adjusting column to obtain corresponding reflection power data under different shape information and depth information; acquiring corresponding shape information and depth information when the reflection power is minimum or smaller than a target value; generating an associated data set according to the shape information and the depth information corresponding to the reflection power when the minimum value is or is less than the target value and the task type; and when it is detected that the new task type has the corresponding associated data set, adjusting an adjusting column in the plasma source resonant cavity according to the shape information and the depth information in the corresponding associated data set. The plasma source resonant cavity adjusting method and device and the resonant cavity provided by the invention have the advantage of improving the use efficiency.

The invention relates to the technical field of position and posture adjustment, in particular to a position adjusting method and system applied to lifting of a rear-row pedal, and the method comprises the steps: obtaining an adjusting range set for adjusting the position of the pedal, and determining an adjusting position and posture library based on the adjusting range set and a scene construction unit, receiving an initial adjustment pose selected by a user in an adjustment pose library by using a pose input unit to obtain a target adjustment pose, retrieving a driving path in the adjustment pose library according to the target adjustment pose, and driving the initial adjustment pedal by using the driving path to adjust the initial adjustment pose. And monitoring a plurality of monitoring pressures of a plurality of pedal adjusting units corresponding to the initial adjusting pedal during driving in real time, and adjusting the position of the initial adjusting pedal after determining that the initial adjusting pedal is a preset target adjusting pedal based on the plurality of monitoring pressures and the position adjusting unit. The position of the rear-row pedal can be intelligently adjusted, and the experience feeling of a user is improved.

The invention discloses a coordinated operation optimization scheduling method and system based on wind-solar-storage complementary combined hydrogen production. Acquiring and processing operation data of the new energy power system to obtain wind and light output characteristics; establishing a source-load coordinated operation scheduling model of the electro-hydrogen system based on complementary characteristics of electro-hydrogen loads by combining wind and light output characteristics and an electrolytic cell adjusting range; a particle swarm optimization scheduling method is adopted for the source-load coordinated operation scheduling model of the electro-hydrogen system to find an optimal scheduling scheme; and calculating the new energy consumption rate and the equipment utilization rate of the optimal scheduling scheme, and completing the power system optimization scheduling based on the demand side response. Supply and demand balance of the electro-hydrogen system can be achieved, abandoned wind and abandoned light are reduced, the new energy consumption rate and the equipment utilization rate are improved, efficient scheduling is achieved, and the method has wide application prospects and use value.

The invention provides an energy-saving intelligent illumination control system, and relates to the technical field of intelligent illumination, and the system comprises the steps: collecting the current ambient light data of a target illumination region through an ambient light sensor, and generating the target ambient illumination brightness; identifying personnel activity information in the target illumination area through a human body activity sensor, and determining target activity illumination brightness; determining target adjustment illumination brightness based on the target environment illumination brightness and the target activity illumination brightness, and generating a self-adaptive illumination brightness control strategy in combination with the actual illumination brightness; adjusting the brightness of the target lighting equipment in the target lighting area based on a self-adaptive brightness control strategy, and monitoring the current lighting energy consumption data of the target lighting equipment through a lighting energy consumption sensor; the illumination feedback information of the user side is obtained, and the adaptive illumination brightness control strategy is optimized based on the illumination feedback information and the current illumination energy consumption data, so that intelligent adjustment of the illumination brightness can be realized, the energy consumption is effectively reduced, and the illumination efficiency is improved.

The invention is suitable for the technical field of drilling platforms, and provides an intelligent comprehensive management method and system for a drilling platform, and the method comprises the following steps: collecting drilling platform information based on the Internet of Things, the drilling platform information comprising drilling parameters, geological parameters and wellbore internal environment parameters; constructing a speculation model based on a machine learning algorithm and historical drilling data, wherein the historical drilling data comprises drilling parameters, geological parameters and wellbore internal environment parameters; drilling platform information is input into the speculation model, and speculation results of the change trend of the internal environment of a shaft, drill bit abrasion data and the drilling speed are obtained; and determining an objective function according to the speculation result, performing iterative optimization on the drilling parameters in the drilling platform information through an optimization algorithm to obtain an optimal objective function, and determining optimal drilling parameters. According to the method, intelligent adjustment of the drilling parameters is achieved, the drilling efficiency is improved, the cost is reduced, and risks and uncertainty in the drilling process are remarkably reduced.

The invention discloses a multifunctional position pad for preventing deep vein thrombosis of lower limbs, which comprises: a position pad main body, on which a plurality of air bags are arranged; an inflatable component, which is connected to the air bags through a trachea, and comprises an air compressor, a buffer air bag, a control component and a valve, wherein the air compressor is connected to the buffer air bag through a first pipeline, and the buffer air bag is connected to the valve through a second pipeline, and the valve and the control component are controlled to be connected; a magnetic therapy component, which is arranged on the position pad main body; at least one fixed component, which is arranged on the surface of the position pad main body; a baffle component, which comprises a baffle and a driving component, wherein the baffle is rotatably connected to one end of the position pad main body, and the driving component drives the baffle to rotate. The invention can prevent venous thrombosis of lower limbs, and can also massage the legs, promote blood circulation, and ensure the smoothness of blood flow. The baffle component can help patients do passive ankle pump exercises and maintain functional positions.

The invention discloses a robot monitoring device and a using method thereof, and relates to the technical field of robots. The ship comprises a ship body, a monitor fixedly installed on the ship body, a sail steering motor installed on the inner side of the ship body, and a sail fixing rod arranged at the output end of the sail steering motor. And the disc mechanism comprises a disc main body and a plurality of partition plates fixedly connected in the disc main body, and the multiple partition plates divide the disc main body into a plurality of fan-shaped cavities. According to the invention, a disc mechanism is designed, and the magnitude and direction of wind power are detected by using the motion trail of the small ball in the disc, so that intelligent adjustment of the power system is realized. The robot has the advantages of being low in cost and easy to maintain, the stable and reliable power adjusting function can be provided in the complex water area environment, and the cruising ability and operation flexibility of the robot in the water patrol process are improved.

The application discloses an aero-engine ice wind tunnel test section modeling simulation optimization integrated platform, comprising a geometric parameterization modeling module, a mesh division and boundary condition setting module, an aero-engine performance calculation agent model module, a CFD simulation module, an iterative optimization module, a visualization and data analysis module, the application realizes deep coupling of geometric parameterization modeling, CFD simulation, aero-engine performance calculation and multidisciplinary optimization technology, and constructs an automatic closed-loop process of the aero-engine ice wind tunnel test section from geometric modeling to flow field simulation analysis and then to aerodynamic layout optimization, so that the high efficiency of calculation is ensured, the accuracy of simulation results is improved, a fast, accurate and scalable technical tool is provided for accurate flow field simulation and efficient aerodynamic layout optimization of the aero-engine ice wind tunnel test section, and the technical problems of long design period, low efficiency and high cost of the aero-engine ice wind tunnel test section are solved.

The invention discloses a method for machine vision positioning of semi-finished electromagnetic stoves for palletizing, which belongs to the field of machine vision and automatic control technology, and is used to solve the problems of inaccurate visual positioning, low efficiency and difficulty in adapting to products of different specifications of semi-finished electromagnetic stoves during the palletizing process; by adjusting camera parameters and light source parameters, it is ensured that a clear and accurate image of the electromagnetic stove product is obtained, and the adjusted parameters and the corresponding electromagnetic stove specification type are stored in a parameter storage library; during visual positioning, the parameters are retrieved from the parameter storage library according to the electromagnetic stove specifications to adjust the camera and the light source, and then the captured electromagnetic stove image is sampled and tested, and if it is qualified, palletizing is started and accurately positioned through a visual positioning module; the positioning mode of the electromagnetic stove is judged, and the shooting positioning task is executed, and accurate and stable palletizing is achieved by calculating the center point position of the electromagnetic stove and correcting the palletizing position and angle.

The invention provides an intelligent adjusting system for a vehicle-mounted skylight, and aims to automatically adjust the opening and closing degree of the skylight and the position of a sun shield by monitoring external environmental factors in real time. The system comprises a plurality of key units: an environment sensor unit, a data processing unit, an automatic adjustment control unit, a safety protection unit and a user interaction unit. The environment sensor unit monitors external environment data in real time through temperature, humidity, wind speed, sunlight and other sensors; the data processing unit inputs the data into an intelligent algorithm to generate an optimal adjustment scheme; the automatic adjusting control unit automatically adjusts the skylight and the sun shield according to the adjusting scheme; the safety protection unit preferentially considers the safety of the driver and passengers in the adjusting process. The user interaction unit provides a touch screen or a voice assistant interface, and a user is allowed to manually adjust the position of the skylight and the position of the sun shield. According to the system, intelligent and personalized skylight adjustment can be realized according to different external environment changes, and the user experience is improved.

The invention discloses a voice interaction method and system based on artificial intelligence, and relates to the field of voice interaction. By analyzing the environment in which the voice interaction system is located, the volume is intelligently adjusted to avoid the uncomfortable experience caused by too high or too low sound; by analyzing the speech speed of new instructions and the similarity between the new instructions and the input corresponding instructions, the instruction analysis index is obtained, and different strategies are adopted for different instruction analysis indexes, so that the instructions can be reasonably handled, thereby improving the intelligence level of the voice interaction system; by analyzing the user's age, region, gender, occupation and user behavior data, the recommended value of each voice package is obtained, so that the appropriate voice package can be intelligently recommended to the user, thereby increasing the user's satisfaction and stickiness.

The invention discloses fresh air heating equipment which comprises a box body, a cover plate, an air duct assembly and a control adjusting assembly. According to the fresh air heating equipment, the cover plate covers the air channel assembly in the box body, the air channel assembly is internally provided with the air flow channel, the air channel assembly divides the box body into the first air cavity and the second air cavity, and the first air cavity and the second air cavity intersect at one end of the air flow channel; the exhaust outlet and the ventilation opening communicate with the other end of the air flow channel, and the first air cavity communicates with the ventilation opening so that it can be guaranteed that fresh air is introduced. By controlling the adjusting assembly, the air flow channel is controlled to be selectively communicated with one of the ventilation opening and the exhaust opening, so that switching among a fresh air heating mode, an indoor air heating mode and an air exchange mode is achieved. According to the fresh air heating equipment, multiple working modes are provided, fresh air heating is achieved by introducing fresh air to be mixed with indoor air, and energy consumption is reduced while the air inlet amount is increased; the air exchange mode is adopted, the oxygen content concentration in the bathroom is improved, and then the comfort degree is improved.

The utility model relates to biological engineering equipment technical field, concretely relates to a biochemical incubator, including base, is equipped with the box on the base, is fixed in the box incubator, is pasted with the conduction sheet on the incubator, and the semiconductor refrigeration heating module is connected with the conduction sheet, and one side of the box is equipped with air filtration system, and is communicated with the incubator through the circulation pipe, and the ultrasonic humidifier is equipped below the semiconductor refrigeration heating module, and is communicated with the incubator through the pipeline, and the incubator is equipped with the sealed door, and there is the gap between the incubator and the box and forms the heat insulation layer, and the controller is connected with the temperature and humidity sensor group, gas sensor group electric signal, can automatically regulate and control each module according to real -time data.

The invention relates to a multi-mode interaction method of a Bluetooth sound box and a smart phone. The sound box is provided with an angle-adjustable first magnet ring which is magnetically adsorbed with a second magnet ring on the smart phone, so that physical connection of equipment is realized; wireless connection between the sound box and the smart phone is established through a Bluetooth protocol, and physical adsorption states of the equipment are detected, including a first adsorption state, a second adsorption state and a third adsorption state. In the first adsorption state, a video watching angle of 50-70 degrees is formed between the smart phone and the horizontal plane; in the second adsorption state, a video call angle of 0-15 degrees is formed between the smart phone and the horizontal plane; the third adsorption state is that the sound box is not adsorbed with the mobile phone. And switching to the corresponding interaction mode according to the adsorption state, analyzing the use data of the user in different modes by utilizing a machine learning algorithm, generating a personalized parameter scheme, and automatically applying in the corresponding state to optimize the user experience.

This utility model relates to the field of mechanical processing and manufacturing technology. It provides a wire cutting device, including a frame and a housing for fixing the target part. The frame contains a support frame and a translation mechanism for driving the horizontal movement of the housing. The support frame has a wire feeding mechanism for adjusting the vertical angle of the molybdenum wire. The translation mechanism within the frame enables the horizontal movement of the housing. The wire feeding mechanism on the support frame, through upper and lower adjustable guide rails and combinations of movable and fixed pulleys on the upper and lower adjustable guide rails, forms an adjustable vertical angle cyclic cutting path for the molybdenum wire, achieving large-angle cutting. A spherical grinding nozzle, in conjunction with the spherical surface of the adjusting guide rail, enables omnidirectional rotation, adapting to the molybdenum wire angle, reducing wire friction, lowering the risk of wire breakage, and extending the wire's service life. A laser probe detects the position of the target part, and the translation mechanism and rotary motor adjust the position, achieving intelligent adjustment and improving processing efficiency and accuracy.