378 results about "Marine engine" patented technology

The invention provides a marine engine lubricating oil system fault diagnosis method and system based on transfer learning from a simulation domain to a real domain, and the method comprises the steps: carrying out the fault simulation of different working conditions based on a built marine engine lubricating oil system simulation model, and obtaining a simulation fault signal response; acquiring real domain fault data of different working conditions of an engine lubricating oil system based on an engine experiment platform; a feature fusion structure based on an encoder-decoder is adopted to obtain simulation domain fault data; an engine lubricating oil system fault diagnosis model based on data migration and algorithm migration dual migration learning is obtained; and based on the engine lubricating oil fault diagnosis model, performing real-time fault diagnosis on the marine engine lubricating oil system to obtain a diagnosis result. According to the method, transfer learning from simulation domain fault features to real domain fault features is realized, so that the problems of high construction cost and insufficient generalization performance of a diagnosis model are solved.

The invention provides a marine engine turbocharger fault prediction method based on digital twinning. The marine engine turbocharger fault prediction method comprises the steps that operation parameters and vibration signals of a marine turbocharger are acquired; performing signal processing on the vibration signal; establishing a three-dimensional solid model of the supercharger; establishing a fluid excitation reconstruction model and a vibration response model according to the three-dimensional entity model; performing all-condition fault simulation based on the vibration response model to obtain fault data; constructing a full-condition fault data set and training a fault prediction model, and screening sensitive vibration characteristic parameter categories based on various vibration characteristic parameters; according to a data transmission relationship among the fluid excitation reconstruction model, the vibration response model and the fault prediction model, constructing a corresponding data twinborn model; and inputting the operation parameters and the sensitive characteristic parameters corresponding to the real-time vibration signals into a digital twinborn model, and obtaining an output fault type and a fault degree. According to the method, the fault type and degree of the supercharger are accurately predicted, and the reliability and safety of equipment are improved.

The invention relates to an independent inner and outer needle valve type flexible fuel injector which comprises an injector shell, internally and externally nested needle valve matching parts, an electromagnetic control valve assembly and a double-row injection hole structure, and a diesel oil high-pressure oil way and a low-carbon fuel high-pressure oil way are arranged in the injector shell; the electromagnetic control valve assembly is arranged in the upper portion of the ejector shell, independently controls diesel oil injection and is of a hydraulic balance valve structure. Needle valve matching parts nested inside and outside are installed at the bottom of the ejector shell and connected with the electromagnetic control valve assembly through a spring guide sleeve, a limiting block and a middle rod. A double-row spray hole structure is arranged at the bottom of the internally and externally nested needle valve matching part; the inerting valve set is connected to the low-carbon fuel high-pressure oil way and used for purging and inerting during fuel switching. By means of the nesting needle valve, the diesel oil lubrication seal, the independent control valve and the inerting design, efficient and stable dual-fuel injection is achieved, the problem of mixing in the prior art is solved, the service life of the injector is prolonged, and the dual-fuel injector is suitable for ship engines with alternative fuel such as methanol / ammonia.

The invention relates to the field of marine engine performance monitoring and optimization, and discloses a marine engine adaptive aging prediction method and a fault diagnosis model.The prediction method comprises the following steps that a digital twin model of a marine engine is constructed, and an engine reference health state is generated; acquiring operation parameters of the marine engine in real time, and inputting the operation parameters into the digital twin model to calculate a reference performance index; identifying the degradation offset of the actuating mechanism by comparing the output of the digital twin model with the operation data of the entity engine; constructing a multi-objective optimization problem based on performance indexes of a digital twin model, and generating a Pareto optimal solution set by using an NSGA-III algorithm; and an optimal solution under a specific working condition is selected through a fuzzy comprehensive evaluation method, and degradation state evaluation and optimal control strategy generation are realized. Compared with the prior art, the method can accurately predict the degradation state of the marine engine, reduces the maintenance cost, improves the operation efficiency and reliability, and meets the dynamic optimization requirements of complex working conditions.

The invention discloses a ship engine component cross-working-condition life prediction method and system, and the method comprises the steps: collecting the operation data of key components of a ship engine in real time, and carrying out the preprocessing of the operation data of each component, so as to guarantee the data synchronism and data validity of the operation data; inputting the preprocessed operation data into the corresponding trained life prediction network model, and outputting a life prediction result corresponding to each component; the life prediction network model comprises a feature extraction module used for extracting time sequence features under different scales, splicing all the time sequence features on a feature dimension, performing feature enhancement on a splicing result based on a Transform model, and outputting a global feature vector after compression of a global average pooling layer; the life prediction module is used for outputting a life prediction result according to the global feature vector; the domain discrimination module is used for outputting a domain discrimination result according to the global feature vector; in training, the feature extraction module and the domain discrimination module carry out adversarial training.

The utility model discloses a disassembly and installation tool for connecting rod studs of marine engines, comprising an elastic nut, a locking sleeve, a locking cover, a guide cylindrical pin and an adjusting ball screw, wherein the elastic nut is screwed on the outer end of the connecting rod stud. The locking sleeve is located between the locking cover and the elastic nut, and the conical surfaces of the locking sleeve and the elastic nut abut against each other. One end of the guide cylindrical pin is fixed in one side of the through hole of the locking sleeve, and the other end is embedded and positioned in the guide groove of the elastic nut. One end of the adjusting ball screw abuts against the center hole of the connecting rod stud. The utility model significantly improves assembly efficiency, reduces labor intensity of assembly, avoids damage to the end thread of the connecting rod stud, and thus improves the assembly quality of marine engines.

The invention provides a ship engine gas system health assessment method and system based on digital twinning. The method comprises the steps that a gas system hierarchical structure tree is acquired; through a subjective and objective weight fusion method, carrying out importance degree evaluation on each component of the gas system; obtaining a health degree data set of components in the gas system; according to the health degree data set of the components in the gas system, combining a crown porcupine optimization algorithm to optimize a variational mode decomposition method and a sparrow algorithm to optimize a long short-term memory neural network, and predicting and obtaining the health degree of the gas system; the gas system is monitored in real time based on digital twinning, and the current health degree is displayed in real time and subsequently predicted. According to the method, the importance degree of the components of the gas system is accurately evaluated through subjective and objective weight fusion, real-time monitoring and health degree visualization are realized based on digital twinning, the health degree prediction precision is improved by adopting a double-optimization mechanism of optimization of a crown porcupine optimization algorithm and optimization of a sparrow algorithm, and efficient prediction of single input and single output is supported.

The invention discloses an intelligent optical cable marine engine room management method and system, and the method comprises the steps: collecting the operation state data of each device in a marine engine room in real time through employing an Internet of Things sensor, transmitting the operation state data to a file module in real time, and carrying out the regular calling of the data, so as to adjust the monitoring parameters of each Internet of Things sensor; performing equipment health assessment on the operation state data by adopting an economical efficiency analysis tool, a performance degradation analysis tool and an equipment operation analysis tool, and generating a health assessment report; and generating a coping strategy for abnormal data in the health assessment report based on the expert knowledge base, and matching corresponding historical events and historical maintenance methods thereof in the archive module. According to the invention, comprehensive health assessment is carried out on each device in the ship by using a multi-dimensional analysis tool, the fault prediction accuracy is improved, a coping strategy is rapidly generated in combination with an expert knowledge base and historical data, the decision-making efficiency is improved, the intelligence level of a ship cabin system is promoted, and the safety, environmental protection, economical efficiency and reliability of ship management are improved.

The invention relates to the technical field of methyl alcohol fuel injection system injectors, in particular to a high-pressure-difference methyl alcohol injector for a ship engine, which comprises a gland, an electromagnetic valve assembly, a shell, an ejector rod, a spring, a range limiting disc, a valve body, a valve core bushing, an orifice plate and a valve seat. According to the methanol injector, the fuel inlet is laterally arranged, and the overall flow direction of fuel is side-in and bottom-out, so that the leakage phenomenon possibly caused by insufficient coaxiality of external pipe joints in a conventional fuel jacking installation mode is avoided, and the sealing of an engine cannot be influenced even under severe working conditions such as continuous vibration; according to the methanol injector, methanol supply pressure (hydraulic pressure) is used for assisting in opening of the valve element of the methanol injector, compared with an injector with a conventional direct-drive electromagnetic valve opening valve element, the structure can achieve opening of the methanol injector only through smaller electromagnetic force and lower power consumption, and higher methanol injection pressure can be achieved after the spring and the supply pressure are accurately matched; and more efficient atomization can be realized.

The invention aims to provide a marine engine lubricating oil system fault diagnosis method based on multi-source domain transfer learning, and belongs to the field of engine fault diagnosis. Comprising the following steps: carrying out multi-working-condition signal acquisition and pretreatment on the marine engine lubricating oil system; constructing a multi-source domain transfer learning model; performing multi-source domain transfer learning model training and optimization to obtain a diesel engine fault diagnosis model based on multi-source domain transfer learning; and performing cross-working-condition fault diagnosis on the diesel engine to obtain a fault diagnosis result. According to the method, multi-source domain data collected under different working conditions are integrated, and deep feature extraction and fusion of the monitoring signals of the lubricating oil system of the engine are realized. According to the method, feature distribution between each source domain and the target domain is effectively aligned, and common fault features in multi-source-domain data are fully mined and utilized, so that the diagnosis model has relatively high cross-working-condition diagnosis capability while realizing fault prediction.

The invention discloses a marine engine lightweight fault diagnosis system for a variable working condition environment. The marine engine lightweight fault diagnosis system comprises a fault simulation and data acquisition module, a progressive separation module and a double-view weighted confrontation module, constructing a fault data set containing multiple working conditions through fault simulation, and dividing the fault data set into a training set with labels and a to-be-diagnosed sample set; the progressive separation module uses the training set to train a basic model, extracts to-be-diagnosed sample features to carry out joint scoring and sorting, then uses K-Means clustering and a cross-working-condition class structure matching mechanism to adaptively estimate the number of unknown fault samples, and trains a fine classifier; and the double-view weighted confrontation module fuses the output of the auxiliary domain discriminator and the fine classifier, realizes safe and accurate migration of diagnosis knowledge to a to-be-diagnosed sample set through weighted confrontation training, and obtains a final fault diagnosis model. According to the method, the fault diagnosis precision and robustness under variable working conditions and open class environments are effectively improved.

The invention relates to a test system for monitoring the temperature of a piston ring of a marine engine, which belongs to the technical field of marine engine temperature monitoring and comprises an infrared temperature measurement module arranged in a cylinder sleeve test hole, a data acquisition unit electrically connected with the infrared temperature measurement module and a data processing unit electrically connected with the data acquisition unit. The number of the cylinder sleeve test holes is multiple, the infrared temperature measurement module is used for measuring the temperature of different positions of the piston ring, measured temperature data are collected through the data collection unit and subjected to primary processing, and the data processing unit receives the data transmitted by the data collection unit and then conducts deep analysis and processing so as to obtain the temperature distribution condition of the piston ring. Real-time and accurate monitoring of the temperature of the piston ring in the operation process of the engine is facilitated, the limitation of a traditional contact type measuring method is overcome, and the damage risk of the piston ring and a cylinder sleeve is reduced.

The invention relates to the technical field of ship seawater piping system control, in particular to a ship seawater piping system centralized control monitoring system and a control method. According to the invention, remote multi-stage monitoring and control of the whole ship seawater system can be realized, the current state of the seawater system can be timely mastered, an accurate basis is provided for operation and maintenance of a marine engine department, remote operation of equipment or timely decision-making of faults is realized, and operability and maintainability of the seawater system are greatly improved; remote control of the seawater main pipe pneumatic butterfly valve is achieved through the seawater main pipe pneumatic butterfly valve remote control system, monitoring and self-cleaning control of the working state of a seawater filter are achieved through the self-cleaning seawater filter monitoring system, and monitoring of the working state of an anti-corrosion sleeve is achieved through the anti-corrosion sleeve monitoring system. Fault links of the seawater system can be found and handled in the first time, and stable and normal operation of the whole ship seawater system is ensured.

The invention discloses a marine engine manufacturing full-process decision prediction method combined with machine learning, and relates to the technical field of marine engine manufacturing and testing. The method solves the problems of model prediction deviation, confidence coefficient imbalance, response lag and the like caused by difference between a bench test and a sea test environment in key working condition feature statistical distribution, selects an adversarial domain adaptation or confidence calibration algorithm for model training, constructs a prediction model based on a deep neural network, and improves the prediction accuracy. Through adversarial optimization or post-processing calibration of the feature extraction network, the main task prediction sub-network and the domain discrimination sub-network, the generalization ability and confidence reliability of the model are improved, the model is deployed in a sea test environment and verified in real time, and closed-loop decision control is executed based on a model prediction result by calculating an error index of a predicted value and a measured value. Through data layer alignment, model layer adaptation, verification layer verification and execution layer control, the prediction accuracy and operation safety of the marine engine in the sea test stage are remarkably improved.

The invention relates to the technical field of fire early warning, and discloses a marine engine room fire multi-sensor fusion automatic early warning system, which comprises a data analysis unit, a baseline adjustment unit, a data correction unit, an anomaly analysis unit, a cooperative calculation unit and a fire early warning unit, and is characterized in that the thermal state of an engine room is accurately reflected through a global working condition coefficient generated by the data analysis unit; a dynamic sensing datum line generated by the baseline adjustment unit can adapt to working condition changes in real time, the data correction unit eliminates interference and generates refining abnormal signals, the abnormity analysis unit generates a single-dimensional burst strength index through abnormal energy flux and other parameters to achieve accurate scoring, and the cooperative calculation unit and the fire early warning unit are matched with each other. According to the method, the fire early warning instruction is generated, the accuracy of multi-sensor cooperative fire discrimination is improved, meanwhile, the adaptability of the early warning scheme to dynamic working conditions is enhanced, and the accuracy of cabin fire monitoring is guaranteed.

The present invention discloses a dual-fuel supply device for a marine engine with an automatic switching function, and belongs to the technical field of marine equipment. The present invention comprises a guide rail base, a counterweight platform, and a loading platform, wherein the guide rail base is connected to a hull, the counterweight platform is mounted on the guide rail base, a pair of support arms are arranged on the counterweight platform, a mandrel is arranged between the two support arms, two transfer beams are symmetrically arranged at the bottom of the loading platform, the loading platform is transferred to the mandrel through the transfer beams, a switching mechanism is installed on the top of the loading platform, one end of the switching mechanism is connected to the fuel through a pipeline, and the other end of the switching mechanism is connected to the engine through a pipeline, a balancing mechanism is installed at the bottom of the loading platform, and the balancing mechanism keeps the loading platform stable, when the ship is docked at the shore or sailing in calm seas, the electromagnet overcomes the elastic force of the spring and is adsorbed on the iron core, thereby driving the push rod to be pushed out and pushed onto the hull to fix the loading platform.

The invention discloses a marine diesel engine intelligent fault diagnosis method based on an interval belief rule base, and belongs to the technical field of fault diagnosis, and the method comprises the following steps: 1, obtaining an actual measurement data sample of a marine diesel engine; the method comprises the following steps: under different fault conditions, selecting a proper acquisition position in a marine engine, and selecting a proper sensor to be placed at a specified position according to a test requirement; according to the method, intelligent fault diagnosis is carried out through the interval belief rule base (IBRB), the uncertainty in operation data of the diesel engine is fully considered, the system can still keep efficient and stable diagnosis capacity under the complex environment and the ocean working condition through robustness analysis of the model, the reliability and practicability of the system are further improved, and therefore the method has the advantages of being high in practicability and high in practicability. The diagnosis method provided by the invention has higher accuracy, robustness and real-time performance, can adapt to a complex marine environment, and provides more reliable technical support for fault diagnosis of the diesel engine.

A support system for outboard marine motors at the transom of a boat includes a support device having a first part that is integral with the transom and a second part that is integral with the outboard motor. The second part is translatable with respect to the first part, so that the second part moves according to an orientation in the distancing or approaching direction of the water line of the boat. A control unit is configured to set the position of the second part with respect to the first part and to generate control signals, so as to move the second part in the direction of immersion of the propeller of the outboard motor.

The utility model discloses an oil gas detection device for a marine engine room, and the system comprises a first alarm which is disposed in the marine engine room; the second alarm is arranged outside the marine engine room; the fan is used for communicating the marine engine room with the external environment of the marine engine room; the oil-gas detector is used for detecting the current oil-gas concentration of the marine engine room; the oil and gas monitoring box is electrically connected with the fan, the first alarm, the second alarm and the oil and gas detector, and the oil and gas monitoring box is used for obtaining the current oil and gas concentration from the oil and gas detector and controlling the working states of the first alarm, the second alarm and the fan based on the current oil and gas concentration, a preset oil and gas concentration early warning value and a preset oil and gas concentration alarm value. The oil-gas concentration early warning value is smaller than the oil-gas concentration alarm value. According to the invention, the technical problem of low personnel safety of the marine engine room is solved.

The invention discloses a fault inspection method and device based on turbine multi-level structure self-adaptive weighted fusion and a medium, and relates to the technical field of intelligent operation and maintenance of ships, and the method comprises the steps: constructing a multi-level physical topology monitoring structure chart and a self-adaptive weighted fusion mathematical model corresponding to a ship turbine system; acquiring monitoring data corresponding to each level; based on the first monitoring data of the first hierarchy, determining whether the first hierarchy is abnormal in operation, and based on the adaptive weighted fusion mathematical model, the second monitoring data of the second hierarchy and the third monitoring data of the third hierarchy, predicting whether the first hierarchy and / or the second hierarchy is abnormal, and obtaining a detection result, and performing fault judgment based on a detection result. The system and the method are used for solving the problems of low efficiency, low accuracy and poor effect during ship operation and maintenance in the prior art, and realizing efficient and accurate online inspection of the ship wheel system.

An end cap for guiding an exhaust gas flow of a boat engine. The end cap is configured to be attached onto a propeller nut of the boat engine. The end cap including: a base body having a bottom surface, a lateral surface and a tip, the tip and the bottom surface being spaced apart from each other in a longitudinal direction of the base body. The lateral surface extends from the bottom surface and converges in the tip. The bottom surface having a recess for receiving the propeller nut; and at least one exhaust gas-guiding structure extends helically along the lateral surface.

The utility model relates to a misfire diagnosis system for a marine gas engine, and relates to the technical field of monitoring of marine gas engines, the misfire diagnosis system comprises an engine exhaust header pressure sensor and an engine electronic control unit, the engine exhaust header pressure sensor is arranged on an exhaust pipe of the engine and is used for collecting exhaust pressure waveform data in real time, and the engine electronic control unit is used for monitoring the exhaust pressure waveform data; the engine electronic control unit receives pressure waveform data from the engine exhaust manifold pressure sensor. According to the misfire detection system for the marine fuel engine, the exhaust header pressure wave signal is selected as a signal source, engine misfire monitoring and diagnosis can be carried out, and the requirement for stable operation of the marine engine is met.

The present application belongs to the technical field of marine engine bearing bush coating, and discloses a composite treatment method for the surface of a marine heavy-duty engine bearing bush, which comprises bearing bush substrate pretreatment, electroplating treatment, electroplating post-treatment and spraying treatment. The present application breaks through the limitation of single surface treatment technology, uses a tin-nickel alloy electroplating layer as the bottom layer to provide the bearing bush with good basic strength, toughness and impact resistance, and uses a spraying layer containing solid lubricants such as molybdenum disulfide and graphite as the surface layer to endow the bearing bush with excellent compliance, embeddability and self-lubricating performance. The combination of the two perfectly solves the technical problem that the traditional process cannot simultaneously consider strength and surface performance, and is particularly suitable for the complex working conditions of frequent start-stop and power overload of marine heavy-duty engines.

A marine engine lubricating oil composition comprising: (a) at least 40% by weight of an oil of lubricating viscosity having a kinematic viscosity at 100 DEG C of from 4.0 to less than 8.0 mm2 / s; and (b) one or more polyisobutylene thickeners having a number average molecular weight of from 400 to 6,000 Daltons. The marine lubricating oil composition has a TBN of less than 70 mg KOH / g. The marine lubricating oil composition is a single-stage lubricating oil composition which meets the requirements of the SAE J300 standard revised in January 2015 on SA E 20, SAE 30, SAE 40, SAE 50 or SAE 60 single-stage lubricating oil.

The invention discloses a digital twin marine engine health assessment method, and relates to the technical field of marine engines, and the method comprises the steps: obtaining the operation data of a marine engine, and carrying out the preprocessing of the operation data of the marine engine; constructing a health index function model for reflecting the performance degradation process of the marine engine based on the preprocessed operation data of the marine engine; and collecting real-time operation data of the marine engine, and inputting the real-time operation data into the health index function model to obtain health degree evaluation data of the engine. According to the method, the health indexes capable of representing the degradation characteristics of multiple sensors of the marine engine are constructed based on the time-frequency domain characteristic parameters and kernel principal component analysis, so that the accuracy of health assessment and prediction is improved, and meanwhile, the hyper-parameters in the BiLSTM health prediction model are automatically adjusted and optimized based on the improved HHO algorithm, so that more efficient health state prediction is realized.

The utility model discloses an optical energy meter mounting bracket for a marine engine, and belongs to the technical field of diesel engines. The bracket mainly comprises a steel pipe, a small seat plate, a large seat plate, a trough plate seat plate and a rib plate, and adopts a connection mode of combining welding and bolt fixation. The steel pipe is welded on the exhaust collecting pipe to form a T-shaped foundation frame, the small seat plate is welded at the upper end of the steel pipe, the large seat plate is fixed on the small seat plate through bolts, and the length of the large seat plate can be adjusted to adapt to installation of different numbers of optical energy meters. The groove plate base plate is welded to the side face of the steel pipe and used for standardizing cable wiring. The rib plate is welded to the bottom of the large base plate to enhance structural strength. The solar energy meter support solves the problems that a traditional solar energy meter support is inflexible in installation and inconvenient to maintain, has the advantages of being simple in structure, convenient to install, high in adjustability and the like, can effectively improve reliability and attractiveness of installation of a solar energy meter, and is suitable for temperature monitoring systems of various marine diesel engines.

The invention discloses an automatic NH3 collecting and detecting device for a ship, and relates to the field of NH3 engines. The device comprises a sampling and collecting assembly, a detection chamber, a detection signal transmitting unit, a detection signal receiving unit and a control processing unit, the sampling and collecting assembly is connected with the detection chamber, and the sampling and collecting assembly is arranged on the periphery of an NH3 vaporizer of the marine NH3 engine and used for driving detected gas on the periphery of the NH3 vaporizer to enter the detection chamber; the detection signal transmitting unit and the detection signal receiving unit are oppositely arranged and are respectively positioned on two sides of the detection chamber; the detection signal emission unit is used for emitting a detection light signal with a preset wavelength, so that the detection light signal passes through the detected gas in the detection chamber; the detection signal receiving unit is used for receiving the detection light signal and generating an electric induction signal; and the control processing unit is used for determining the NH3 concentration of the detected gas according to the electric induction signal. According to the invention, whether NH3 leaks or not can be accurately detected, and normal operation of the marine NH3 engine and personnel safety are guaranteed.

LUBRICANT COMPOSITION FOR 4-STROKE MARINE ENGINE The present invention relates to a lubricating composition for a 4-stroke marine engine, comprising: - one or more base oils, of which at least 5% to 95% by mass, relative to the total mass of said lubricating composition, are one or more base oils chosen from Group II oils, Group III oils and their mixtures; - 0.3% to 3%, in particular 0.5% to 2%, by mass of a styrene-diene(s) hydrogenated copolymer, relative to the total mass of said lubricating composition, and - 2% to 30% by mass of detergent(s), relative to the total mass of said lubricating composition, said lubricating composition being free of olefin copolymer, and wherein the kinematic viscosity at 100°C, measured according to ASTM D445, of the base oil or base oil mixture is strictly less than 7 mm² / s. Figure for the abstract: none

An adaptable tie bar assembly for use with a power boat having more than one engine. The adaptable tie bar assembly comprises a hollow tube for a first part, a rod for second part that slides within the first part of the adaptable tie bar assembly and a pin to secure the rod second part in fixed position in the hollow tube at which point the engines are parallel and the power boat is being operated at higher speeds. A solenoid may be used to insert and retract the pin. Physically aligned and secured engines improve safety when moving at high speeds. At lower speeds, being able to operate the engines independently enables better steering control.

The present application relates to the technical field of bearing shell positioning, in particular to a hole system bidirectional positioning tool and method for bearing shell of marine engine. It comprises a positioning plate and a tool base, the positioning plate is fixed with the bearing shell through positioning pins, and a V-shaped groove is opened on the lower surface, and the tool base is provided with load-bearing ball plunger and positioning ball plunger. The positioning method comprises: fixing the positioning plate on the bottom of the bearing shell by the robot and hoisting it to the tool base; releasing the locking of the positioning ball plunger, so that it pops out; after positioning is completed, the load-bearing ball plunger is controlled to descend, the load is transferred to the tool base, and the positioning ball plunger is relocked. The present application is adapted to the lightweight structure of the bearing shell, and the positioning efficiency and accuracy are improved through bidirectional step positioning combined with the robot, the processing quality is guaranteed, and the operation difficulty is reduced.