959 results about "Mechanical wear" patented technology

The invention relates to the technical field of equipment fault diagnosis, and discloses an equipment fault diagnosis and prediction method based on deep learning, and the method comprises the following steps: S1, collecting multi-modal data in real time through a plurality of sensors installed on equipment; s2, preprocessing the collected data; s3, constructing a hybrid deep learning model; s4, dynamic weighted fusion is performed on the features of different modal data by using an attention mechanism, and comprehensive feature representation is generated; s5, using the marked fault data and normal data to supervise and train the model; s6, inputting equipment operation data acquired in real time into the trained model, and judging the state of the equipment; and S7, generating a potential fault early warning signal based on a prediction result of the model. A piezoelectric vibration sensor and a thermal infrared imager are arranged on a motor bearing through vibration, temperature and sound sensors, vibration waveforms, thermal imaging slices and time-frequency diagrams are synchronously captured, and composite state characteristics such as mechanical wear and temperature anomaly of equipment are comprehensively reflected.

The invention relates to the technical field of water pump control, and provides a water supply and drainage pump set assembly and a digital control system, which realize self-adaptive control under a complex working condition by fusing multi-source data such as pressure, flow and temperature, break through the dependence of traditional control on a single parameter, and improve the response capability of the control system to water fluctuation and equipment state change. Based on a long-short-term memory network trained by historical multi-source data, a control system can predict a pressure set value in advance, the pressure set value is solved through a particle swarm algorithm, and weight fusion is performed according to the predicted pressure set value and the solved pressure set value to generate an adjustment instruction, so that the starting and stopping times of equipment and mechanical wear are reduced, and the service life of the equipment is prolonged. The maintenance cost is reduced, and water resource waste is avoided through accurate control; and meanwhile, through a redundancy design and a fault-tolerant mechanism, the control system can still operate stably under the scenes of sensor faults, equipment abnormity and the like.

The invention relates to the technical field of fault diagnosis, in particular to a contact mechanical wear and fault diagnosis system which comprises a data acquisition module, a wear diagnosis module, a contact surface detection module, a buffer judgment module and a composite diagnosis module. According to the method, the three-phase opening time sequence, the resistance instantaneous value, the pressure signal and the shock wave envelope are aligned and fused according to the millisecond timestamp, the multi-source data time sequence consistency and the linkage feature recognition capability are improved, the statistical correlation between the operation time and the resistance difference value is calculated through covariance, the dynamic judgment precision of the abrasion process is enhanced, and the accuracy of the abrasion process is improved. Based on pressure quadrant division and gradient ratio extraction, spatial positioning features of contact surface depression are determined, the ratio of shock wave change rate to duration is extracted, sensitive recognition of buffer performance changes is enhanced, multiple types of diagnosis results are fused to form an overlapping analysis path, and accurate recognition and logic attribution of composite fault types are achieved.

The invention discloses a convolutional neural network vehicle fuel consumption detection method based on ultrasonic sensors, and relates to the technical field of vehicle fuel consumption detection, and the method comprises the steps: 1, installing a plurality of ultrasonic sensor arrays on a vehicle, and monitoring the liquid level change of a fuel tank through the ultrasonic sensors; step 2, performing normalization processing on data acquired by the ultrasonic sensor, and eliminating differences caused by different measuring devices and measuring environments; and step 3, analyzing the preprocessed data through a convolutional neural network model to obtain the vehicle fuel consumption. According to the convolutional neural network vehicle fuel consumption detection method based on the ultrasonic sensor, the ultrasonic sensor is adopted, non-contact measurement is achieved, mechanical abrasion is reduced, key parameters related to fuel consumption, such as the fuel oil liquid level and the distance from a fuel spray nozzle to a combustion chamber can be accurately measured, and the fuel consumption can be accurately detected through accurate measurement of the parameters. And the actual fuel consumption of the diesel engine can be calculated more accurately.

The invention discloses an automatic control method based on artificial intelligence, relates to the technical field of petroleum drilling, and is applied to a slurry pump. The method comprises the following steps: acquiring a slurry pump, determining fluid pulsation characteristics, mechanical wear characteristics and pump efficiency loss characteristics of the slurry pump according to a preset multi-physics field coupling model so as to construct a multi-modal characteristic vector, then generating an initial control instruction based on a preset fuzzy RBF neural network model, and finally verifying and correcting the initial control instruction based on a digital twinborn model so as to obtain a digital twinborn model. And generating a final control instruction to adjust the working state of the slurry pump according to the final control instruction, thereby realizing real-time monitoring and intelligent control of the running state of the slurry pump, being independent of artificial experience, improving timeliness and accuracy of slurry pump control, and further improving efficiency and safety of drilling operation.

The invention relates to the technical field of precise motion control, in particular to an XY motion platform positioning error compensation system and method, which extracts spatial-temporal characteristics through multi-modal data fusion and normalization processing in combination with a neural network hybrid model, and dynamically manages time sequence errors by using a forgetting gate, an input gate and an output gate. And a compensation parameter is updated by adopting an online adaptive training mechanism of error source classification. The problems that in the prior art, due to mechanical abrasion and thermal deformation of an encoder, precision is attenuated, nonlinear errors are difficult to process through a PID algorithm, pure vision positioning is prone to interference and complex in calibration, and an online learning mechanism is lacked can be effectively solved, the positioning comprehensive error is reduced to the micron order, the anti-interference robustness and the real-time compensation capacity of a system are improved, and the system reliability is improved. And the positioning precision and the production efficiency are obviously improved.

The invention relates to the technical field of cloth rolling machine control, in particular to a cloth rolling machine control method and system for automobile interior fabric production, and the method comprises the steps that correlation indexes are determined by analyzing the correlation between the average level of all rotating speed data in each rotating speed data window in each time period and a fluctuation abnormal value; respectively analyzing the difference between the rotating speed data and the correlation index and the corresponding fitting value, and constructing a first difference degree and a second difference degree to determine an abnormal coefficient at the current moment; and determining the tension complexity by analyzing the complexity of all tension data from the beginning of the fabric winding process to the current moment, and determining a tension abnormal value by combining the abnormal coefficient so as to control the rotating speed of a cloth roller in the fabric winding process at the current moment. Interference of mechanical abrasion of the cloth rolling machine in the fabric rolling process on rotation speed adjustment is reduced, and the tension adjusting precision in the fabric rolling process is improved.

The utility model relates to the technical field of machining, and particularly discloses a handheld servo electric screwdriver which comprises an electric screwdriver cap, a servo motor, an electric screwdriver handheld portion and an electric screwdriver chuck portion which are sequentially arranged from top to bottom, and the electric screwdriver cap is provided with an aviation plug, a start-stop photoelectric control panel, a start-stop switch and a forward and reverse rotation switch. The aviation plug, the servo motor, the start-stop switch and the forward and reverse rotation switch are all electrically connected with the start-stop photoelectric control panel, the servo motor is in transmission connection with an electric screwdriver chuck main shaft through a transmission shaft, and an electric screwdriver chuck push-pull sleeve is arranged at the bottom of the electric screwdriver chuck part. The bottom of the electric screwdriver chuck main shaft is located on the inner side of the electric screwdriver chuck push-pull sleeve. The start-stop switch and the forward and reverse rotation switch are arranged to control start-stop and forward and reverse rotation of the servo motor, the servo motor drives the electric screwdriver chuck main shaft to rotate to output torsion, the torque is large, the rotating speed is moderate, heating is small, mechanical abrasion is avoided, and therefore the service life is long, and the failure rate is low.

The invention relates to the technical field of belt conveyors, and discloses an intelligent tensioning control method and system for a belt conveyor. According to the method and system, a dynamic mathematical model is constructed by collecting the current, rotating speed and torque parameters of a driving motor and combining hydraulic cylinder pressure and turnabout drum bearing force data, and high-precision indirect estimation of belt tension is achieved; a progressive adjustment strategy is adopted, the displacement of the hydraulic cylinder is dynamically adjusted according to tension deviation, mechanical abrasion is reduced, and system reliability and severe environment adaptability are improved. The method has the beneficial effects that the tension control error is reduced, the hydraulic action frequency and the maintenance cost are reduced, and meanwhile, the operation efficiency and safety of the conveyor are improved.

The invention relates to the technical field of circuit breaker equipment, in particular to a fault type identification method based on a circuit breaker intelligent algorithm. Comprising the steps of collecting environment temperature data of an environment where the circuit breaker is located in real time through a temperature sensor, dynamically monitoring mechanical wear degree data of a contact and an operating mechanism of the circuit breaker through a displacement sensor, and obtaining surrounding electromagnetic interference intensity data through an electromagnetic interference detection module; inputting the environment temperature data, the mechanical wear degree data and the electromagnetic interference intensity data to a processor integrated with a multi-factor dynamic coupling model, wherein the processor calculates actual contact resistance, interfered actual current and fault characteristic values based on the multi-factor dynamic coupling model; the processor identifies the fault type of the circuit breaker according to the size and the change range of the fault characteristic value in combination with a preset fault type judgment rule; the method can effectively cope with the influence of the factors, and improves the fault type recognition accuracy.

The invention discloses a flywheel and gravity hybrid energy storage system and method based on clutch mechanical coupling. The system comprises a high-speed inertia flywheel, a flywheel protection cover, a speed-increasing gearbox, a flywheel pit, a flywheel main shaft, a load-bearing fixing foundation, a bearing, a coupler, a motor, an equipment fixing device, an electromechanical detection device, a speed-reducing gearbox, a lifting system, a first high-speed clutch, a second high-speed clutch and an intelligent control unit. According to the invention, the quick response characteristic of the high-speed flywheel and the large-capacity advantage of gravity energy storage can be fully utilized to realize flexible switching of the high-speed flywheel and the gravity energy storage in different operation modes, and the closed state of the clutch is dynamically adjusted through the intelligent control unit, so that the frequency modulation, peak regulation and inertia support performance of a power grid is optimized; meanwhile, mechanical wear and energy loss are reduced, and the overall operation efficiency and reliability of the system are improved.

The invention relates to the technical field of power equipment fault diagnosis, and particularly discloses a pole-mounted circuit breaker mechanical fault diagnosis method and system, and the method comprises the steps: firstly, synchronously collecting a dynamic force-displacement signal, a high-frequency acoustic emission signal and a broadband vibration signal in the switching-on and switching-off process of a circuit breaker operating mechanism; then, the acoustic emission and vibration signals are decoupled into an impact source component and a friction source component which are statistically independent through a blind source separation algorithm; performing envelope spectrum analysis on the impact source component to extract impact characteristics, and performing energy calculation on the friction source component to obtain friction noise energy characteristics; finally, on the basis of dynamic force-displacement curve fitting analysis, in combination with impact characteristics and friction noise energy characteristics, distinguishing and delimiting of mechanical wear and lubrication degradation faults are achieved. According to the invention, the problem that the existing diagnosis technology cannot effectively identify and distinguish the coupling fault of mechanical wear and lubrication deterioration is solved, and early warning and accurate diagnosis of the mechanical fault of the pole-mounted circuit breaker are realized.

The present invention pertains to an advanced traction control system designed to enhance the performance of traction elevators. This system integrates multiple components and a novel S-curve algorithm to optimize acceleration and deceleration profiles, ensuring smooth transitions and improved ride quality. Key components include a central controller, motor room board, hall panel controllers, and a car panel controller. The system supports high-speed applications, accommodating speeds up to 1400 feet per minute. The S-curve routine is divided into acceleration, constant speed, and deceleration phases, with digital speed commands transmitted via a serial communication link to the motor drive every 10 milliseconds. This precise control reduces mechanical wear and enhances passenger comfort. The system can adapt to various speed profiles, including normal, short, inspection, and emergency power modes, ensuring optimal performance under different conditions. This invention significantly improves the efficiency, safety, and durability of traction elevator systems.

The utility model discloses a preheating system for low-temperature starting of a diesel automobile. The preheating system comprises a sensing module, a preheating module and a control module, wherein the sensing modules are fixedly arranged inside and / or outside a diesel automobile body respectively; the preheating modules are respectively and fixedly arranged near and / or inside a diesel automobile cooling system, an intake manifold and a gearbox; the control module is fixedly arranged in a vehicle-mounted electronic system of the diesel automobile; the control module is used for receiving input signals such as temperature and pressure obtained by the sensing module, automatically controlling the preheating module to preheat intake air, an engine cylinder body and a gearbox of the diesel automobile, and automatically adjusting the preheating time and strength, so that the low-temperature starting performance is effectively improved, and meanwhile, the low-temperature starting performance of the diesel automobile is improved. Waste of fuel oil and electric quantity of a storage battery caused by excessive preheating is avoided, in addition, it is ensured that lubricating oil reaches proper viscosity before starting, mechanical abrasion at the moment of starting is reduced, and safe and rapid starting is achieved.

A mechanical wear gauge for detecting a brake liner wear and a brake disc wear of a disc brake for vehicles, in particular for utility vehicles, includes a brake liner wear detection mechanism and a brake disc wear detection mechanism. Brake liners and brake discs are subjected to a wear so that the brake liner thickness and the brake disc thickness decrease with an increasing period of use. A base member includes an arm member having a pincer leg. A first sliding member having a pincer leg is slidable relative to the base member and arm member to detect brake disc wear. A second sliding member, extending parallel to the first sliding member, is slidable relative to the base member to detect brake liner wear.

The invention provides a circuit breaker mechanical wear prediction system based on vibration characteristics, and compared with the prior art, the circuit breaker mechanical wear prediction system further comprises a vibration signal acquisition module, a signal processing module, a characteristic extraction module, a characteristic screening and fusion module, a control and evaluation module, a correction module and a communication module. According to the system, original vibration signals of a circuit breaker in the opening and closing process are collected, multiple vibration features are extracted after filtering, denoising and time alignment processing, then an optimal feature combination is obtained through a feature screening and fusion algorithm, and a mechanical wear prediction model is constructed by adopting a random forest. And introducing an environmental health factor to correct a prediction result, and finally outputting a corrected wear degree prediction value RHI. The system has the advantages of high prediction precision, strong environmental adaptability, flexible deployment and the like, solves the problems of unstable performance and large prediction error of a traditional method under complex working conditions, and is suitable for online monitoring and predictive maintenance of circuit breaker equipment.

The invention relates to the technical field of PCBA packaging, discloses a PCBA packaging method and equipment based on a fixed glue spraying assembly, and aims to solve the technical problems of complex wiring, high mechanical loss and inconvenience in maintenance in a mobile packaging scheme of an existing glue spraying assembly. The PCBA packaging method comprises the steps that a glue spraying assembly sprays a UV glue solution to a target glue spraying area of a PCBA, and a curing irradiation assembly irradiates the PCBA to cure the UV glue solution to form a packaging layer; wherein the glue spraying assembly comprises a plurality of rows of independently-controlled piezoelectric spraying holes, the positions of the piezoelectric spraying holes are fixed in the whole spraying process, and full coverage of a target glue spraying area is achieved only by driving the PCBA to move. The PCBA packaging equipment comprises a support, a conveying mechanism, a fixedly-arranged glue spraying assembly and a curing irradiation assembly, the conveying mechanism drives a PCBA to move along a preset path, and it is ensured that a target glue spraying area is exposed under the glue spraying assembly in sequence or repeatedly. According to the invention, the wiring structure of the glue spraying assembly is simplified, the mechanical wear is reduced, the equipment reliability and maintenance convenience are improved, the precision and efficiency of PCBA packaging are ensured through synchronous curing and precise movement control, and the method is especially suitable for selective protection packaging of a low-height PCBA board with the maximum height of an electronic component smaller than 1cm.

The invention discloses a method of an elevator energy consumption optimization control system, which relates to the technical field of elevator energy consumption optimization, and comprises the following steps: in the elevator running process, acquiring elevator running information of a floor planned to stop in the running process in real time, and preprocessing the acquired elevator running data to obtain a pre-processed elevator running data; and a basis is provided for analyzing the use mode and the operation efficiency of the elevator. According to the invention, through intelligent division of near-distance stopping, middle-distance stopping and long-distance stopping, the elevator system realizes fine speed and acceleration adjustment aiming at different running distances, energy consumption and transportation efficiency are effectively balanced, and the power peak demand and electric power waste are reduced. The instantaneous current impact is reduced by short-distance stopping, and the mechanical wear is relieved; and the acceleration is optimized by long-distance parking, so that excessive consumption under high load is prevented, and the temperature rise of the equipment is avoided. On the whole, intelligent control reduces equipment aging and heat dissipation requirements, the service life of the elevator is remarkably prolonged, and the long-term maintenance cost is reduced.

The invention discloses a fault monitoring sealing ball valve, belongs to the technical field of ball valves, and solves the problems that a self-adaptive compensation mechanism of an intelligent valve positioner can cover the degradation process of mechanical wear of a pneumatic sealing ball valve quietly during long-term operation, and finally sudden control instability is caused due to the fact that nonlinear wear exceeds a compensation limit. Comprising a valve body, a pneumatic actuator arranged on the valve body, a valve rod which is in transmission connection with an output shaft of the pneumatic actuator and located in the valve body, a valve ball fixedly connected with the valve rod and a fault prediction circuit. The fault prediction circuit comprises a multi-dimensional physical sensing array module, a high-speed synchronous acquisition and preprocessing module, a core signal processing and fusion analysis module, an artificial intelligence coprocessor module and a predictive maintenance decision and life cycle management module. Multi-dimensional signals are collected in real time, valve health is evaluated after fusion analysis, and early warning and maintenance decisions are output.

The invention relates to the field of fiber spreading of fiber prepreg tapes, in particular to a dual-mode amplitude-frequency-adjustable fiber bundle transverse fiber spreading device which comprises a frame assembly, a static fiber spreading roller set, a dynamic fiber spreading roller set, a driving system, an amplitude adjusting unit and a frequency control unit. Efficient diffusion of the fiber bundles is achieved through independent amplitude-frequency regulation and control, and different process requirements of materials such as carbon fibers and glass fibers are met. On the basis of accurate regulation and control of vibration parameters (frequency and amplitude) and a roller dual-mode (rotating / fixing) switching mechanism, the transverse diffusion effect of the fiber bundle is enhanced by improving a normal load in a fixed mode, a friction interface is optimized in a rotating mode to reduce mechanical wear, and the width of the carbon fiber bundle is expanded to 3-5 times of the original size.

The invention relates to the field of solid lubricating materials of aerospace materials, and particularly discloses a self-adaptive molybdenum disulfide-based multi-layer composite film resistant to low orbit space irradiation and a preparation method of the self-adaptive molybdenum disulfide-based multi-layer composite film. The closed field unbalanced magnetron sputtering technology is adopted, and a bonding layer (Ti), a gradient transition layer (MoS2 / Ti), a functional layer (MoS2 / Ti), a transition layer (MoS2-Ti-C) and a functional layer (MoS2-C) are deposited on a metal material to form the multi-layer composite lubricating film. The prepared lubricating film can reliably serve in a low-orbit space environment, can effectively reduce mechanical abrasion of space mechanical friction moving parts, and can still keep stable tribological performance under long-time irradiation in the low-orbit space. The method is particularly suitable for long-term moving parts such as bearings and gears of new-generation low-orbit service spacecrafts.

The invention discloses high-voltage wiring harness connector terminal fretting wear test equipment which comprises an equipment base, a high-frequency vibration exciter and a lifting platform are mounted on the equipment base, and a mounting platform is arranged at the top of the lifting platform; a left test piece mounting loading mechanism and a right test piece mounting force measuring device are arranged on the mounting platform. The device can realize a multi-physics field coupling test, current-carrying friction and arc erosion of an electric contact surface in a real working condition are simulated by combining a current load with high-frequency mechanical wear, and the electric-mechanical coupling wear characteristic of a new energy automobile charging terminal is accurately reproduced. The device supports the dynamic adjustment of normal load, simulates the contact pressure change of the left and right test samples of the test terminal in the plugging process through the test sample pin and the test sample jack, can be used for researching the relevance between the fretting wear and the contact resistance of the test terminal under different loads, and realizes the test of the terminal under complex working conditions in a laboratory environment. The test process is convenient, efficient and accurate, and the test cost and the test period are greatly reduced.

The invention discloses a magnetic suspension force determination method and device, a storage medium and a computer program product, and relates to the field of wind power engineering, and the magnetic suspension force determination method comprises the steps: determining the maximum bending moment force which can be resisted by a wind wheel according to the maximum wind power and the farthest force arm borne by the wind wheel in the rotation process of a historical time period; the size of a permanent magnet in the passive magnetic suspension bearing is determined according to the maximum bending moment force and the weight of the wind wheel, the fixed part of the passive magnetic suspension bearing is arranged on the outer side of the wind wheel, and the rotating part of the passive magnetic suspension bearing is arranged on the inner side of the wind wheel; the magnetic suspension force of the passive magnetic suspension bearing is determined according to the size of the permanent magnet, and the magnetic suspension force is used for suspending the wind wheel at the target height. By the adoption of the technical scheme, the problem that in the prior art, due to the fact that the main bearing of the vertical-axis wind turbine makes contact with the wind wheel, the main bearing bears huge loads, and mechanical abrasion of the main bearing is caused is solved.

Method for determining and / or monitoring a mechanical condition of at least one tie rod assembly (10) of an electrically assisted steering system (12) of a vehicle (14), wherein the mechanical condition of the tie rod assembly (10) is linked to steering play, in particular caused by mechanical wear, wherein at least one operating characteristic (16) correlated with a steering movement of at least one steering actuator (18) and / or at least one steering control unit (20) of the steering system (12) is determined and evaluated for determining and / or monitoring the mechanical condition of the tie rod assembly (10), wherein the evaluation of the operating characteristic (16) takes place in a steering range in which forces (28, ) acting on the tie rod assembly (10)30) in the form of a steering force exerted on a steering actuating element (52) and a restoring force acting in the opposite direction to the steering force of at least one vehicle wheel (46) of the vehicle (14) at least substantially compensate.

The invention provides a packaging speed self-adaptive regulation and control method and system for an automatic packaging machine, and relates to the technical field of process control, and the method comprises the steps: collecting a dynamic working condition feature set in a packaging production line connected with the automatic packaging machine; constructing a speed regulation and control model, and configuring a packaging speed optimization vector in combination with the mechanical wear coefficient of the equipment and the material deformation parameter; and based on the dynamic working condition feature set, in combination with the packaging speed optimization vector, determining a predicted packaging rhythm and a predicted overload risk level coupled with an equipment state, and generating a self-adaptive control instruction set to regulate and control the packaging speed. The technical problem that speed regulation and control are not flexible enough due to the fact that variable working conditions in production are difficult to adapt is solved, accurate regulation and control of the packaging speed are achieved by collecting the dynamic working condition feature set, constructing the speed regulation and control model and generating the self-adaptive control instruction set, and therefore the product quality and the production efficiency are improved.

The invention provides an oil injection lubricating device for a transverse zipper clip chain link of a film stretching production line. A pin shaft sleeve matching surface of the chain clip chain link is communicated, an oil injection inlet is formed above the pin shaft sleeve matching surface, and a chain wheel is provided with an oil injection mechanism to inject oil to the oil injection inlet; the oil injection mechanism comprises lubricating oil runners, nozzles, an oil injection pipe, a hydraulic station, an oil injection electromagnetic valve and a lubricating grease conveying pipe, the chain wheel is divided into N fan-shaped oil injection areas along the circumference, and N corresponding lubricating oil runners are arranged in a chain wheel center extension shaft at the top of the chain wheel; the oil outlet end of the hydraulic station is connected to the oil injection electromagnetic valve and connected into the corresponding lubricating oil flow channels, and the nozzles are connected with the corresponding lubricating oil flow channels through oil injection pipes. And a nozzle working position proximity switch and an arc bulge which are matched with each other are arranged to output an oil injection signal to control oil injection. The oil injection lubricating device for the transverse zipper clip chain link of the film stretching production line can accurately and uniformly supply oil to lubricate the chain clip chain link, and has the advantages of being small in mechanical abrasion, stable in oil injection, accurate and energy-saving.

The present invention proposes a sewing machine with stitch length adjustment and zero-position positioning of a swing seat, specifically relating to the technical field of sewing machine manufacturing, comprising a driving source, a connecting rod, and a swing seat, characterized in that it also comprises an adjusting wheel and a slider, wherein the driving source drives the slider on the output shaft to indirectly position the swing seat at zero, and the slider is arranged on a slide groove of the adjusting wheel, the adjusting wheel is connected to the connecting rod, and the connecting rod is hinged to the swing seat. The present application has the characteristics of high accuracy in positioning the zero point of the swing seat, the static positioning wheel is fixed and equipped with an adjusting wheel to make the operation more stable, the gap between the various components is small after positioning, the degree of mechanical wear of the various components is small, and the noise is relatively low, which has the advantages of stable operation and high promotion and use value.

The utility model discloses a lubricating oil monitoring and protecting device for a generator set, which relates to the technical field of power generation and comprises a generator set gear shell, a base, a first oil delivery pipe and a second oil delivery pipe. The temperature sensor can monitor the temperature of lubricating oil in the gear shell of the generator set in real time, and when the temperature is too high and reaches a preset threshold value, the temperature switch starts the oil pump so that the lubricating oil can be rapidly cooled through the lubricating oil cooling mechanism. The temperature of the lubricating oil is reduced, so that the situation that mechanical abrasion is aggravated due to the fact that the temperature in a gearbox of the generator set is too high is avoided, automatic detection and protection of the lubricating oil are achieved, and the generator set is made to operate more safely. The cleanliness of the lubricating oil is ensured, so that the lubricating effect of the lubricating oil is better ensured.

The invention provides an intelligent air flow adjusting system and method for a reciprocating compressor, and the method comprises the steps: obtaining the real-time pressure, flow and rotating speed data during the operation of the compressor, collecting the state of an air valve and the stress parameter of a crosshead pin through a sensor, and determining the specific distribution condition of the current load and compression work; after the target parameter sequence is obtained, the response time of an executing mechanism is adjusted by adopting a dynamic optimization algorithm according to the opening degree and rotating speed control of the gas flow adjusting valve, and a real-time instruction set of adjusting actions is determined; according to the real-time instruction set, a servo motor drives an air valve and a frequency converter to adjust the rotating speed, and the actual air volume adjusting result and energy consumption data of the compressor under the current load are obtained; according to the adjustment scheme of stress balance, finite element analysis is adopted to simulate the long-term change trend of mechanical wear, and stable operation parameters of the air flow adjustment system under the condition that wear is reduced are determined; and according to the optimization adjustment strategy, the operation logic of the compressor is updated by adopting a self-adaptive control algorithm, and a dynamic response instruction set during next load change is determined.

The invention discloses a magnetically-driven turbine with adjustable stationary blades. The magnetically-driven turbine comprises a turbine shaft system, a shaft system wheel disc, a cylinder, a plurality of turbine stationary blades, an integrated angle adjusting rotating wheel, an angle adjusting translation magnetic plate and an angle adjusting driving mechanism. And the shafting wheel disc is arranged on the steam turbine shafting. And the steam turbine shaft system and the shaft system wheel disc are arranged in the cylinder. The multiple steam turbine stationary blades are arranged in the air cylinder, and the tops of the multiple steam turbine stationary blades extend out of the air cylinder. The integrated angle adjusting rotating wheel is arranged outside the air cylinder, and the interior of the integrated angle adjusting rotating wheel is correspondingly matched with the multiple steam turbine stationary blades. Therefore, according to the magnetic drive adjustable stationary blade steam turbine, pneumatic improvement and efficiency improvement of the steam turbine under the low-load deviation working condition are achieved, contact type mechanical abrasion is avoided, and high-reliability adjustment of the angle is achieved.