755 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 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.

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 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 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.

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 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 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 relates to the technical field of scissor fork truck brake control, and discloses a scissor fork type aerial work platform walking brake control system and method.The scissor fork type aerial work platform walking brake control method is characterized in that an operation handle enables a key to reset and triggers a brake request, and initialization and triggering of a brake control sequence are achieved; the state of the shear fork truck is monitored, gradient and load information is collected, and the external environment working condition and the internal load state are synchronously obtained by calling data of a tilt angle sensor and a pressure sensor in real time; according to rapid braking of the shear fork truck, based on data collected in real time, a three-stage cooperative braking strategy of speed reduction, pressure relief and turn-off is adopted, and based on gradient information collected in real time, the switching time sequence between stages is adjusted in a self-adaptive mode, and accurate matching of the braking process, dynamic loads and topographic conditions is achieved; therefore, the effect of considering the braking efficiency and the terminal parking stability on the premise of no mechanical wear is achieved; and the shear fork truck completes braking and tends to stop stably. And different working conditions can be quickly, stably and adaptively adapted.

The invention relates to the technical field of server testing equipment, and discloses a controllable device applied to server backboard testing and a control method thereof.The controllable device comprises a master device and at least one slave device, the master device is connected with the slave device through an FPC flexible circuit board, the master device is used for receiving a testing instruction, and the slave device is used for receiving the testing instruction; and a control instruction is sent to the slave device according to the test instruction, and the slave device is used for executing the control instruction to realize connection and disconnection of the data link. The slave device is embedded into the data link based on the SAS protocol, link on-off is achieved through electronic control, traditional manual insertion and extraction operation is replaced, manual intervention is reduced, and full-process automatic testing is achieved. The device not only improves the test efficiency, but also avoids mechanical wear of interfaces such as SFF-8643, Slimline x4 and the like caused by physical plugging and unplugging, and avoids the risk of damage caused by low positioning precision of traditional equipment at the same time.

The invention belongs to the technical field of numerical control machine tools, particularly relates to a high-speed servo drive chain type tool magazine, and provides the following scheme aiming at the risk that a tool is accidentally loosened due to vibration, impact, mechanical wear, instantaneous insufficiency of hydraulic clamping force and the like, the tool loosening easily causes a machine tool collision accident and causes heavy loss and potential safety hazards: the high-speed servo drive chain type tool magazine comprises a rack, a rotary tool magazine mechanism is arranged on one side of the rack, a tool disc is fixedly connected to one side of the rotary tool magazine mechanism, tool magazine bodies are arranged on one side of the rotary tool magazine mechanism at equal intervals, and tool bodies are arranged in the multiple tool magazine bodies. And the tool changing mechanism is arranged on one side of the rotary tool magazine mechanism. The high-speed servo drive chain type tool magazine disclosed by the invention has the effects that the falling risk is actively prevented through the anti-falling early warning module, instant locking and alarming are carried out when an accident occurs, meanwhile, the rotary deviation correction module is cooperated to ensure that a tool is accurately placed in place, and the loosening probability caused by deflection is reduced from the source.

A PID (Proportion Integration Differentiation) control method and system for realizing non-contact centering of a vehicle relates to the field of combined control of vehicle subsystems, and the method comprises the following steps: acquiring a real-time image of a current position of a target vehicle through an image acquisition device, and preprocessing the real-time image to obtain a vehicle contour feature map; vehicle feature point coordinates are extracted according to the vehicle contour feature map, a first coordinate deviation value between the vehicle feature point coordinates and preset target position coordinates is calculated, a vehicle correction instruction is obtained through calculation by adopting a PID controller according to the deviation value, and the PID controller comprises a proportionality coefficient, an integral coefficient and a differential coefficient; the vehicle correction instruction comprises a transverse displacement correction value and an angle correction value; the vehicle correction instruction is sent to an execution mechanism, and a second coordinate deviation value is obtained; and when the second coordinate deviation value is smaller than a preset coordinate threshold value, it is determined that vehicle centering operation is completed. By implementing the method, the mechanical wear during centering of the four-wheel positioning station of the automobile production line can be reduced.

The invention discloses an electronic brake system of a fishing reel, and belongs to the technical field of fishing gears. The system comprises a side cover, an adjusting drive plate, a brake adjusting execution assembly, a supporting cover plate, a coil base, an electric control board and a wire cup assembly, wherein the electric control board integrates an optical detection module, a conductive detection module and a control unit; a stop block of the brake adjusting execution assembly and an adjusting drive plate move synchronously, a conducting circuit and a conducting contact can be selectively conducted through a conducting layer on the bottom face of the brake adjusting execution assembly, discrete electric signals identifying gears are output, meanwhile, the shielding degree of the stop block on an optical path of the optical detection module changes continuously, and continuous light sensation analog signals are formed. And the control unit locks the gear according to the discrete electric signal, and responds to the light sensation analog signal to realize stepless regulation of the braking force in the same gear. The device adopts dual-mode cooperative detection, has the characteristics of no mechanical wear, high precision and strong interference resistance, is compact in structure and controllable in cost, effectively improves the casting stability of the fishing reel and the user experience, and is suitable for various fishing reels with precise brake requirements.

The invention relates to the technical field of non-electrical variable control or regulation systems, and discloses an exhaust gas aftertreatment flow channel back pressure dynamic regulation method, which comprises the following steps: acquiring a supply source phase reference signal and establishing cyclic mapping; a fluid channel pressure signal pulse range change rate is extracted to determine a feed-forward factor; determining a pressure signal trough interval as an action window; determining a reference amplitude based on the feedback deviation and using a feed-forward factor for compensation to determine a target adjustment instruction; the adjusting mechanism is driven to move in the action window, so that the response peak value is locked in the trough interval, the adjusting action is locked in the low-energy phase, kinetic energy intervention of fluid pulses on the adjusting mechanism is avoided, and mechanical abrasion is reduced; pulse characteristic feed-forward compensation is utilized to enable an adjusting instruction to sense the trend of a flow field, the response speed is increased while a signal is smoothed, and pressure balance under the transient working condition is maintained.

The utility model relates to the technical field of mechanical arms, and discloses a dolphin type mechanical arm which comprises a dolphin mechanical arm body, a guide rail, an electromagnet and an external power source, a threaded lead screw is rotationally installed in the middle of the interior of the guide rail, and the outer side of the threaded lead screw penetrates through and is in threaded connection with a movable base. Lug plates are fixedly connected to the middles of the front end and the rear end of the electromagnet, fixing rods are fixedly connected to the positions, close to the middles of the front side and the rear side, of the lower end of the movable base, the outer sides of the fixing rods are sleeved with the lug plates in a sliding mode, and a low-resistance iron plate is fixedly installed at the inner bottom of the guide rail. The middle parts of the front end and the rear end of the low-resistance iron plate penetrate through the guide rail and are provided with terminal studs. According to the device, the moving structure of the mechanical arm is simplified, meanwhile, the problem that a traditional mechanical arm is unstable in fixation due to mechanical abrasion is solved, and by optimizing the heat dissipation structure of the electromagnet, the heating value of the electromagnet in long-time work is effectively reduced.

The invention discloses a method for predicting the mechanical wear of a circuit breaker, and relates to the testing of the switching capacity of the circuit breaker, and the method comprises the steps: collecting the operation time T and the operation frequency N of the circuit breaker, and the duration Di and the current value Ii of the current during the ith switching-on, switching-off, tripping or tripping; a mechanical wear rate model is constructed, and the contribution of the running duration, the mechanical operation frequency and the current events exceeding a set threshold value to wear is fused; not only is a tripping event considered, but also switching-on, switching-off and tripping events are considered; only wear caused by mechanical operation times is considered for current events lower than a threshold value; the invention provides a complete method for predicting the mechanical wear of the circuit breaker, and the method is combined with the prediction of the electrical wear, so that a basis can be provided for the replacement and maintenance of the circuit breaker more accurately.

The utility model belongs to the technical field of sealing equipment, particularly relates to food packaging production sealing equipment, and aims to solve the problems that an existing sealing device and an existing conveying belt are complex in matching and inconvenient to use and maintain subsequently, the following scheme is provided: the food packaging production sealing equipment comprises a support frame, and a first rotating shaft and a second rotating shaft are rotationally arranged in the support frame; transmission rollers are fixed to the surfaces of the first rotating shaft and the second rotating shaft correspondingly, and the surfaces of the two transmission rollers are in transmission connection with a conveying belt used for conveying packaging bags. A vertical frame is fixed to the side end of the supporting frame, a nickel-chromium electric heating flat belt used for sealing a packaging bag is arranged in the vertical frame, and a positioning assembly used for positioning the nickel-chromium electric heating flat belt is arranged in the vertical frame. A set of intermittent driving assemblies used for driving the conveying belt to conduct intermittent conveying are arranged in the supporting frame. According to the intermittent working mode, energy waste and mechanical abrasion caused by continuous sealing are effectively avoided, the production cost is reduced, the whole equipment is reasonable in structural design, all assemblies are tightly matched, and operation is easy and convenient.