5215 results about "Equipment use" patented technology

The invention discloses a Bayesian learning and piezoelectric ceramic driving numerical control machine tool thermal error compensation system and method. According to the system, a distributed temperature sensor array is arranged in heat sensitive areas such as a machine tool spindle, a ball screw, a guide rail and a bearing seat, whole-field temperature information is collected in combination with a thermal infrared imager, and multi-source thermal field sensing is achieved; meanwhile, a laser interferometer and a capacitive displacement sensor are used for constructing a dynamic pose monitoring network. The intelligent decision-making unit integrates a Bayesian online learning engine, fuses a physical model and a data driving model, dynamically predicts a thermal error and generates a compensation instruction. And the piezoelectric execution mechanism carries out nonlinear pre-compensation on a driving signal through a three-section Prantl-Ishlinskii hysteresis inverse model according to the instruction, so that high-precision pose adjustment is realized. The thermal error compensation precision is remarkably improved, the adaptability of the system to complex working conditions is enhanced, the service life of equipment is prolonged, and the method is suitable for various numerical control machine tools.

The invention discloses a pipe production task management method and system, and belongs to the technical field of pipe production, and in the pipe production task management method and system, factors such as order priority, equipment state and raw material supply are analyzed through an intelligent algorithm, and the production schedule is automatically optimized, so that production resources are utilized more reasonably and efficiently. Resource waste can be avoided, idle time in the production process is shortened, and therefore production efficiency and the productivity utilization rate are improved. The urgency degree and the delivery date of the order are analyzed through an intelligent algorithm, and the enterprise can preferentially arrange the production of the urgent order to ensure that the customer demand is met in time. Meanwhile, production tasks are reasonably distributed according to the running state of the equipment and the raw material supply condition, and the use efficiency of the equipment and the utilization rate of raw materials are improved. The dynamic adjustment mechanism monitors the production progress in real time and automatically adjusts the production plan according to the actual situation, so that the system can rapidly adjust the production plan and distribute the tasks to other devices, and continuity and on-time delivery of the production tasks are ensured.

The invention provides an industrial equipment energy efficiency evaluation and maintenance decision-making method and system based on reinforcement learning, and relates to the technical field of reinforcement learning, and the method comprises the steps: collecting equipment operation data and extracting features, constructing a maintenance time sequence decision-making model based on deep reinforcement learning, and achieving the model optimization through the combination of transfer learning; and generating a maintenance decision scheme according to the energy efficiency index analysis and the time sequence causal relationship, executing maintenance, and recording process data for online learning and updating of the model. The energy efficiency management level of industrial equipment is improved, the service life of the equipment is prolonged, and the operation and maintenance cost is reduced.

The invention discloses a personnel scheduling method and device and a computer storage medium, and relates to the technical field of after-sales service management, and the method comprises the steps: calculating a device maintenance demand in a future preset period according to the received device use data and work order historical data; extracting the equipment information of each piece of equipment and the fault probability corresponding to the equipment from the equipment maintenance demand; target equipment with the fault probability reaching a fault threshold value is screened, and equipment maintenance tasks are generated based on the equipment information of the target equipment, so that the personnel demand quantity corresponding to all the equipment maintenance tasks is determined; identifying a description text of the equipment maintenance task, and determining skill requirements in the equipment maintenance task; and according to skill requirements in the equipment maintenance task, screening an adaptive personnel set meeting the personnel demand from the personnel skill library, thereby generating a personnel scheduling scheme of the equipment maintenance task. According to the invention, the adaptability of equipment maintenance tasks and personnel skills is ensured, and the response efficiency of after-sales service is improved.

The invention provides an intelligent inspection method and system of a work order all-in-one machine for pressure-bearing special equipment, and relates to the technical field of equipment inspection.The intelligent inspection method comprises the steps that an inspection request sent by terminal equipment is received, and inspection standards and inspection work order information corresponding to the pressure-bearing special equipment to be inspected are searched for in a pre-stored equipment information database; according to the inspection work order information, inspection parameters corresponding to the to-be-inspected pressure-bearing special equipment are determined, and a prediction model used for predicting the remaining service life of the to-be-inspected pressure-bearing special equipment is constructed based on equipment historical inspection data and equipment use environment data; and using the prediction model to predict the remaining service life of the pressure-bearing special equipment to be detected, taking a prediction result as additional detection reference information, generating a dynamic optimized detection strategy, and repeatedly executing the detection process according to the optimized detection strategy until all detection processes required in detection work order information are completed. And comprehensively generating a test report and sending the test report to the terminal equipment.

The invention relates to the technical field of power equipment monitoring, in particular to a power equipment state monitoring data acquisition method based on a Beidou navigation system, which comprises the following steps: S1, equipment state data acquisition: acquiring state data of equipment in real time; s2, establishing an inter-equipment collaborative learning mechanism: establishing an inter-power equipment collaborative learning mechanism; s3, data fusion and standardization: performing standardization processing and fusion on the state data acquired by each device; s4, performing equipment state correlation analysis: identifying state correlation and potential fault modes between the equipment; and S5, a state evaluation and feedback mechanism: according to an analysis result associated with the equipment state, evaluating the equipment state, and feeding back an evaluation result to an inter-equipment collaborative learning mechanism. According to the invention, equipment monitoring and maintenance strategies can be dynamically optimized, the accuracy and efficiency of equipment health management are improved, the risk of fault diffusion is reduced, and the service life of equipment is prolonged.

The invention belongs to the technical field of industrial automation and artificial intelligence crossing, and particularly relates to an AI industrial control intelligent master system and method based on deep learning. The system comprises an intelligent programming module, a real-time monitoring module, a fault management module, an optimization decision module and a man-machine interaction module. The system automatically generates a PLC program code through a deep learning model, monitors an equipment operation state through a multi-dimensional anomaly detection technology, analyzes a fault mode and a propagation path by using a knowledge graph and a graph neural network, optimizes process parameters and a maintenance strategy based on digital twinning and reinforcement learning, provides a 3D virtual interface and an AR remote cooperation function, and improves the reliability of the system. And intelligent management of the whole life cycle of the industrial control system is realized. The PLC programming efficiency is greatly improved, accurate anomaly detection and fault prediction are realized, system operation parameters are optimized, the service life of equipment is prolonged, the man-machine interaction experience is improved, and the problem of unified management of multiple brands of PLCs is solved.

The invention relates to the technical field of fault detection, in particular to a rotating machine fault identification method based on multi-source information fusion, which comprises the following steps: collecting noise and vibration data of a target rotating machine; identifying and separating interference noise data generated by other sound production parts outside the target rotating machine; correcting the noise data of the target rotating machine by using the dry noise data; performing fusion processing on the corrected noise data and the vibration data, generating a comprehensive fault feature, matching the comprehensive fault feature with a known fault mode, and identifying a specific fault type; and generating a fault diagnosis report based on the fault type. Therefore, the accuracy of fault detection can be improved, the maintenance cost can be effectively reduced, and the service life of equipment is prolonged.

The invention provides a power distribution automation terminal debugging system and method based on an IEC104 protocol, and the method comprises the steps: inputting an IP address, a port number and a channel address of a device as parameters after a manufacturer selection module selects a manufacturer name, transmitting IEC104 message data information through a message communication module, a message sending module and a message receiving module, and transmitting the IEC104 message data information to a power distribution automation terminal. An IEC104 message is analyzed through a man-machine interaction interface, the original message and the message meaning represented by each byte of each original message are displayed through the man-machine interaction interface, finally, an information value in the analyzed IEC104 message corresponds to a substation point table, and real-time feedback and display of data are achieved. And meanwhile, a debugging log is recorded. And the method is adaptive to a plurality of manufacturers, so that the same software is used to debug terminal equipment of different manufacturers. The problem that multiple sets of software are used when a user debugs multiple manufacturer devices is solved, and the daily working efficiency is improved.

According to the intelligent control method and system for the double-wheel milling and deep stirring equipment, geological data of a construction area are obtained through preset stratum detection equipment, geological data corresponding to a construction groove section are determined, and the tunneling speed is intelligently adjusted in combination with the milling wheel torque monitored in real time and the current tunneling depth. According to the method, speed adjustment is carried out according to milling wheel torque data, tunneling depth and stratum geological data, meanwhile, associated data of the tunneling depth and the speed are generated, and finally cement paste is injected into a groove section when equipment is lifted. According to the intelligent control method, construction parameters can be adaptively adjusted according to different geological conditions, the milling efficiency and precision are effectively improved, equipment abrasion is reduced, and the service life of equipment is prolonged. Through the combination of real-time data monitoring and intelligent parameter adjustment, the method realizes the accurate control and optimization of the construction process of the milling and deep stirring equipment, and provides more efficient and reliable technical support for the construction of the cement-soil continuous wall.

A method of kitting a robotic assembly for servicing aviation equipment including determining a current workscope associated with the equipment; determining at least one of parts and tooling associated with the current workscope; equipping the robotic assembly with at least some of the determined parts, tooling, or both; and the robotic assembly at least partially autonomously servicing the equipment using the equipped parts, tooling, or both.

The utility model discloses a serial port conversion connector for ground meteorological observation equipment, which comprises a shell, an opening is arranged on the shell, a sliding door is connected in the opening in a sliding manner, a multi-port switching mechanism is arranged in the shell, a fixed interface is connected to the end part of the multi-port switching mechanism, a protection mechanism is arranged on one side of the fixed interface, and the protection mechanism is arranged on the other side of the fixed interface. The multi-port switching mechanism comprises a rotating frame, the top end of the rotating frame is fixedly connected with a connecting shaft, and the top end of the connecting shaft is fixedly connected with a rotary knob. According to the serial port conversion connector for the ground meteorological observation equipment, the rotary knob is rotated to drive the rotating frame to rotate, meanwhile, the window is observed, the needed model is known through the label with the model, then the screw rod is rotated to push out the movable interface, therefore, the movable interfaces of different specifications can be switched, a worker does not need to carry a plurality of serial port converters, and the working efficiency is improved. And the loss is prevented, so that the use convenience can be effectively realized.

The utility model relates to the technical field of straw returning equipment, and discloses an internal self-cleaning device for straw returning equipment, which comprises a main body shell, a cutting disc is fixedly connected in the main body shell, a cleaning mechanism is arranged on the front side in the main body shell, and a positioning mechanism is arranged on the front side outside the main body shell. The cleaning mechanism comprises a cleaning assembly and an adjusting assembly. According to the internal self-cleaning device for the straw returning equipment, through the arranged cleaning mechanism, a worker only needs to hold a handle to move downwards to drive a cleaning block to overturn upwards with a fixing shaft as a shaft, the inner side of the cleaning block makes contact with the left side and the right side of the cleaning block to complete cleaning work on the left side and the right side of the cleaning block, operation is easy, and the worker can use the device conveniently; and a worker does not need to manually clean the cutting disc in the straw returning equipment after the straw returning equipment is used, so that the working intensity of the worker is reduced, and the efficiency of cleaning the cutting disc by the worker is improved.

The invention relates to the technical field of industrial automation, in particular to a factory task management method and system based on the Internet of Things, and the method comprises the following steps: analyzing the operation data of a plurality of devices in a production line based on a device operation log, and recognizing a plurality of key performance indexes; and predicting the task processing capability of the equipment under the differentiated working conditions, and generating an equipment capability prediction result. According to the invention, the operation data of the equipment in the production line is monitored and analyzed, key performance indexes are identified, and the equipment performance is predicted, so that the use flexibility of the equipment is improved, resource allocation is optimized, production interruption caused by equipment faults is reduced, and real-time evaluation and authorization updating of task processing requests are realized; the operation safety is ensured, the response speed is improved, the task scheduling is optimized in combination with analysis of equipment requirements and task dependency, the task execution sequence is automatically adjusted according to real-time equipment loads, the processing efficiency of a production line is optimized, and the delivery speed and quality of products are improved.

The invention discloses a special equipment operation fault detection method and device, and relates to the related field of data processing, and the method comprises the steps: carrying out the dynamic sensing of special equipment, obtaining an operation dynamic data set of the special equipment, and synchronizing the operation dynamic data set to a long-short-term memory network, determining a plurality of fault influence factors, performing fault joint detection in combination with the equipment use scene parameter set, generating a first fault detection result, activating a fault probabilistic reasoning model, and performing fault reasoning in combination with the operation dynamic data set, and generating a second fault detection result and performing automatic comprehensive analysis and detection on the operation fault of the special equipment in combination with the first fault detection result. The technical problems of low detection efficiency and high maintenance cost caused by difficulty in processing large-scale data sets and real-time monitoring requirements in traditional fault detection are solved, an intelligent and automatic fault detection method is introduced, the accuracy and timeliness of fault detection are improved, and the technical effect of reducing risks and losses caused by equipment operation faults is achieved.

The invention relates to the technical field of mechanical transmission, in particular to a reinforcement learning compensation method and system for gear multi-body dynamics constraint, and the method comprises the steps: building a multi-body dynamics digital twinborn model containing bearing rigidity and gear meshing force; constructing an adaptive reward function based on nonlinear manifold mapping, and dividing a system state space into a small deviation domain and a large deviation domain according to an angle deviation threshold value; training the multi-body dynamic model based on a depth deterministic strategy gradient algorithm to obtain a compensation strategy; the obtained compensation strategy is applied to a multi-body dynamic model, and an optimal compensation signal is obtained through self-adaptive fusion of static compensation and dynamic compensation, so that the training efficiency of a reinforcement learning algorithm in a complex nonlinear system is improved, the adaptability of the system to working condition changes is enhanced, the vibration of a gear system is remarkably reduced, and the reliability of the system is improved. The angle control precision is improved, and the service life of equipment is prolonged.

The invention discloses spraying equipment for automobile production, and relates to the field of spraying equipment.The spraying equipment comprises a sliding base and an air delivery pipe, a spraying mechanical arm is installed on the sliding base, a movable head is movably installed on the spraying mechanical arm, two spraying heads are arranged on the movable head, and the air delivery pipe is connected with the sliding base. The two spraying heads are both connected with the gas conveying pipe; and a switching box is mounted on the movable head. It needs to be explained that in the embodiment of the invention, when one spraying head is blocked, the gas pressure in the switching box is increased, the switching plate is made to move, the switching through hole in the switching plate corresponds to the other output hole, at the moment, high-pressure gas is input into the other spraying head through the auxiliary output pipe, and switching of gas conveying pipelines is achieved; and meanwhile, the L-shaped frame drives the two spraying heads to be switched, then the switching plate and the two spraying heads are switched synchronously, and therefore when the spraying heads are blocked, the purpose of automatic switching is achieved, and continuous spraying work is guaranteed.

The invention discloses equipment for testing and packaging an IGBT (Insulated Gate Bipolar Translator) at high temperature and normal temperature. Comprising a machine table, and a feeding device, a carrying device, a visual detection device, a discharging device, a positioning device, an insulation and voltage resistance testing device, a heating device, a testing device, a cooling device, a turnover device, a turntable device, a laser marking device, a 3D detection device, a receiving and carrying device and a receiving device which are arranged beside the machine table. The equipment for testing and packaging the IGBT at the high temperature and the normal temperature has the beneficial effects that the equipment has multiple feeding and discharging modes, can meet full-automatic testing operation of IGBT products with different specifications, models and types, is high in speed, high in efficiency, high in testing accuracy, few in error and wide in application range compared with manual testing, and effectively replaces manual testing.

The invention provides a cross arm automatic tool changing device of a circular shearing machine and a tool changing method, and belongs to the technical field of tool changing equipment of circular shearing machines. The tool changing device comprises a strip-shaped base, a sliding seat is slidably connected to the strip-shaped base in the length direction of the strip-shaped base, a sliding seat driving mechanism is arranged between the strip-shaped base and the sliding seat, a tool changing rotating body capable of rotating by 360 degrees is arranged on the sliding seat, the rotating center of the tool changing rotating body is vertically arranged, and four tool arm sets distributed in the circumferential direction are arranged on the side wall of the tool changing rotating body. Each tool arm set comprises two tool storage arms which are distributed up and down and horizontally arranged, tool bodies are arranged on the tool storage arms, and a tool pushing mechanism capable of pushing the tool bodies on the tool storage arms out of the tool storage arms is arranged on the tool changing rotating body. The tool changing efficiency and the tool changing precision of the tool body on the tool shaft are high, the machining quality can be ensured, and the production efficiency can be improved; according to the automatic cutter locking structure, rapid locking and rapid unlocking between the cutter shaft and the cutter body can be achieved, the cutter shaft is protected, the disassembly and assembly efficiency is improved, and the use safety of equipment is improved.

The invention relates to a vacuum test device and method for leakproofness detection of a patrol bomb launch canister. The leakproofness qualification of the launch canister is judged by putting the launch canister into a vacuum test cavity, vacuumizing and observing the pressure drop of a vacuum gauge. The device is formed by sequentially connecting an exhaust valve, a vacuum test cavity (including a vacuum meter), a control valve, a pneumatic pipeline, a pneumatic flow regulating valve, a switching valve, a vacuum buffer tank (including a stop valve) and a vacuum pump according to the air exhaust direction. During vacuumizing, the vacuum pump is started to vacuumize the vacuum buffer tank, after a certain vacuum degree is achieved, the buffer tank serves as a vacuum generator to vacuumize the vacuum test cavity, the air exhaust rate is adjusted and set through the pneumatic flow adjusting valve, and opening and closing control over an air channel is achieved through the control valve. The vacuum buffer tank serves as a vacuum generator, frequent starting and stopping of a vacuum pump are avoided, and the service life of equipment is prolonged; the test requirements of multiple products can be met through one-time evacuation, and the test efficiency is improved; the air exhaust rate is stable and adjustable, and the consistency of product test states is ensured.

The invention discloses a self-positioning rotary jig for laser welding equipment, and belongs to the technical field of welding jigs, the self-positioning rotary jig comprises a base and a welding table rotationally arranged on the base, the base is provided with a laser welding assembly, the welding table is fixedly connected with a positioning cylinder, the self-positioning rotary jig further comprises a driving disc rotationally connected in the positioning cylinder, and the driving disc is arranged on the base. A plurality of arc-shaped sliding holes are formed in the driving disc; according to the self-positioning rotating jig for the laser welding equipment, when a second motor drives a cylinder to rotate, under the supporting of a torsional spring and a baffle on the shifting plates, the multiple shifting plates synchronously rotate along with the cylinder, the multiple abutting plates abut against multiple driven plates on a rotating rod correspondingly, the multiple driven plates are driven to rotate at the same time, and then the rotating rod and a driving disc are driven to rotate; according to the welding device, the workpiece can be quickly corrected and positioned, the welding device can adapt to cylindrical workpieces of different sizes, the positioning speed of the workpiece is high, the inclined workpiece can be automatically corrected, and the welding efficiency of the workpiece can be improved.

The invention discloses a workshop data integrated control model optimization method based on a graph mining algorithm, which comprises the following steps of: firstly, acquiring workshop equipment data, preprocessing, defining a node for each piece of equipment, distributing a unique identifier for each node, determining attribute information of each node, and constructing a workshop equipment relation network model based on the attribute information; and finally, carrying out importance evaluation on nodes in the workshop equipment relation network model based on a PageRank algorithm, and optimizing the constructed workshop equipment relation network model by utilizing a social network analysis algorithm. According to the scheme, the graph mining algorithm is used for generating the ship intelligent cabin workshop relation social network model for the equipment of the whole ship intelligent cabin workshop, the ship intelligent cabin workshop relation social network model is optimized, the production process is deeply understood by deeply mining the relation between the equipment, evaluating the importance of the equipment and discovering the group relation, and the production efficiency is improved. The method has real-time performance and dynamic adaptability, can be updated at any time to adapt to the change of the workshop, and can enable workshop workers to conveniently analyze the importance degree of workshop equipment and the dynamic relationship between the workshop equipment.

The invention discloses a mine electromechanical equipment safety protection device which comprises conveying equipment used for conveying stones and a base frame arranged on the conveying equipment and used for containing the stones, a feeding port used for feeding the stones is formed in the base frame, the conveying equipment comprises a conveying belt, and a gathering structure used for preventing the conveyed stones from sliding off from the conveying belt is arranged on the base frame. The collecting structure comprises a middle position plate arranged on the base frame, the base frame is provided with a swing angle assembly for adjusting the horizontal inclination degree of the material guide plate, and the base frame is further provided with a material pushing assembly for driving the same position plate to deflect in a reciprocating mode so as to prevent stone from being stacked on the middle position plate. The falling angle and speed of the stone are adjusted, it is ensured that the stone evenly falls in the middle of the conveying belt, the phenomenon of uneven loads is avoided, and particularly the adjustable dip angle design of the guide plate enables the stone sliding speed to be automatically adjusted according to the accumulation amount.

The invention discloses a power distribution cabinet for power equipment, and relates to the technical field of power distribution cabinet protection, and the power distribution cabinet comprises a cabinet body, the inner wall of the cabinet body is fixedly connected with a mounting frame, the back surface of the cabinet body is provided with heat dissipation holes, the back surface of the cabinet body is provided with a filter screen, the inner wall of the cabinet body is provided with three sand plates, and the inner wall of the cabinet body is fixedly connected with a partition plate. The surface of the partition plate is fixedly connected with two bird repelling bells, the two sets of cleaning components are arranged in the cabinet body, the upper end of the filter screen is subjected to arc track displacement through the arrangement of the two sets of cleaning components, the device further comprises a moisture-proof component, and the moisture-proof component is in transmission connection with the cleaning components, so that the three sand plates are subjected to vertical displacement; the power distribution cabinet further comprises two groups of bird repelling parts and driving parts, so that the two bird repelling bells vibrate, and through mutual cooperation of the structures, the power distribution cabinet has the effects of improving the capability of resisting the influence of external adverse factors of the power distribution cabinet and improving the use safety of the equipment.

The invention provides a deployment method and device of a robot system and the robot system.The robot system comprises a robot body and target external equipment used for being connected with an action unit in the robot body to execute a corresponding target task, and the target external equipment is provided with corresponding target control software. The method comprises the steps of obtaining software information of target control software corresponding to target external equipment from a distribution system in response to detection that an action unit is connected with the target external equipment through a control unit, installing the target control software based on the software information, running the target control software, and performing initial configuration of the target control software, according to the technical scheme, after the target external device is connected with the action unit, installation and initial configuration of the target control software can be automatically achieved, so that deployment of the robot system is automatically completed, a large amount of manual deployment work is avoided, the deployment cost of the robot system is reduced, and the deployment efficiency of the robot system is improved.

The high-precision bending machine mechanical compensation workbench comprises a fixed base, a sliding base and a workbench panel, linear guide rails are fixedly connected to the two sides of the top of the fixed base, and the bottom of the sliding base is slidably connected with the linear guide rails; a plurality of independent compensation units are arranged on the top of the sliding base in the length direction of the sliding base. Transverse driving equipment used for driving the sliding base to move along the linear guide rails is arranged between the sliding base and the fixed base. The compensation unit comprises an outer shell and an inner shell, the inner shell is arranged in the outer shell, one side of the inner shell is vertically and slidably connected with a lifting shell, and a driving assembly for driving the lifting shell to vertically move is arranged in the inner shell; the invention relates to the technical field of bending machines. According to the high-precision mechanical compensation workbench of the bending machine, the problems that a traditional compensation workbench is difficult to assemble and debug and inconvenient to maintain, and compensation precision and stability need to be improved are solved.

The invention relates to the technical field of intelligent forging and pressing equipment, in particular to a cold header pressure control system which comprises a pressure sensing module used for collecting dynamic pressure signals when a cold header works in real time; the system further comprises a control unit, the control unit is electrically connected with the pressure sensing module, a fuzzy PID control algorithm is adopted to conduct real-time analysis on the dynamic pressure signals based on the pressure change rate and historical abnormal working condition data, and a pressure regulation and control instruction is generated in combination with a preset pressure threshold value range. The pressure during cold heading can be intelligently adjusted and optimized according to different materials, the product quality and the machining efficiency are improved, the use safety of equipment is improved, the service life of a mold is prolonged, and the production cost is reduced.

The invention provides die-casting equipment for aluminum alloy part manufacturing, and relates to the technical field of die-casting, the die-casting equipment comprises a supporting main body, and a supporting transverse column is fixedly mounted at the bottom of the supporting main body; a guide sliding groove is formed in the inner side of the supporting body. A guide chute is formed in the top of the inner side of the supporting main body; a fixed seat is fixedly mounted at the bottom end of the outer wall of the supporting main body; a fixed base is fixedly mounted on the fixed seat; and a die-casting fixed die is mounted in the fixed base in a sliding manner. The die-casting fixed die and the die-casting movable die in the sliding insertion state are extremely convenient to disassemble, the situation that too much time is consumed in the disassembling process can be effectively avoided, the situation that the use efficiency of die-casting equipment is reduced due to complex die replacing steps is thoroughly eradicated, and the problem that when double dies are replaced, workers need to conduct disassembling operation at least twice is solved. And the die replacement process is very tedious, and the overall use efficiency of the die casting equipment is reduced due to too long die replacement time.

The invention discloses a seat part riveting detection device and a use method thereof. The seat part riveting detection device comprises a rotating disc and a rotation driving mechanism, and a plurality of positioning tools used for placing adjusting parts are arranged on the rotating disc; a feeding and discharging station, a riveting station and a torque detection station are arranged in the circumferential direction of the rotary disc, the rotary disc is connected with a rotary driving mechanism, and the rotary driving mechanism drives the rotary disc to rotate and enables the positioning tools on the rotary disc to sequentially pass through the feeding and discharging station, the riveting station and the torque detection station. The riveting station is provided with riveting equipment used for riveting the seat part, and the torque detection station is provided with torque detection equipment used for detecting whether the torque of a screw cap on the adjusting part is qualified or not. A feeding and discharging mechanism is arranged on the feeding and discharging station. When the device is used, the whole machining and detecting process does not need manual participation, the automation degree is high, time and labor are saved, the labor cost is greatly reduced, and the production efficiency is improved.