4494 results about "Diesel engine" patented technology

The present invention relates to the technical field of railway locomotive diesel engine adaptive health diagnosis systems, in particular to a railway locomotive diesel engine adaptive health diagnosis system based on human-in-the-loop. The system performs algorithm classification on time sequence signals collected by sensors deployed on a locomotive diesel engine, and comprises four modules a working condition segmentation module, a deduplication detection module, a model training module and an anomaly detection model module, and two steps an offline training process and an online inference process, so as to complete identification and classification of features of anomaly signals, thereby satisfying the requirements of operation and maintenance engineers for health diagnosis and monitoring of health states of subsystems. In addition, the present invention can associate anomaly signals with original sensor data to conveniently check fault reasons, and for faults with various influence factors and unknown reasons, the accuracy of health diagnosis after model construction is completed can be higher. The present invention has the possibility of the health diagnosis model evolving from a fault identification function to a fault classification function, thereby reserving a direction of development for higher requirements of followup intelligent operation and maintenance.

The invention provides a reinforced diesel engine friction pair on-line wear detection device and a wear detection method. The reinforced diesel engine friction pair on-line wear detection device comprises a wear calculation terminal, an NI-PXIe8115 acquisition instrument, a sampling detection circulating oil path, a cylinder pressure sensor, a rotating speed sensor, a vibration sensor, an acoustic emission sensor, a six-in-one lubricating oil physical and chemical sensor, an abrasive particle sensor, an abrasive particle visual sensor and a CAN / USB / RS485 communication interface. The method has the beneficial effects that the load of a friction pair of the strengthened diesel engine is large, the process from symptoms to failure is extremely short, and serious fault events are difficult to control, the device can quickly warn an abnormal state after being implemented, gives a corresponding action instruction to a user, and provides a reliable identification means for strengthening research, development and operation safety of the diesel engine.

The invention discloses a digital twin-driven marine diesel engine emission prediction and optimization method, which comprises the following steps: (1) constructing a comprehensive performance mechanism model, and obtaining twin data through representation and verification of the comprehensive performance mechanism model; (2) designing a calibration module based on a deep learning algorithm, taking real data and twin data as input, and outputting calibrated data through model training; (3) constructing a combustion stage mechanism module, and optimizing a gas inlet pipeline structure and improving mixing uniformity through simulation of a combustion mechanism model on oil-gas mixing characteristics and combustion efficiency; (4) constructing a data driving model, and fitting a relationship between the turbulent energy index and emission; and (5) taking the constructed comprehensive performance mechanism model, the calibration module, the combustion stage mechanism model and the data driving model fusion technology system as a fitness function, searching an optimal oil injection control parameter based on a particle swarm optimization algorithm, and formulating an optimization control strategy adapting to different working conditions.

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 provides a marine diesel engine shafting longitudinal-torsional coupling vibration calculation method. The method specifically comprises the following steps: S1, calculating crankshaft longitudinal-torsional coupling rigidity; s2, calculating torsional vibration excitation at the propeller by using a CFD method; s3, establishing a ship propulsion shafting coupling free vibration kinetic equation through the calculated longitudinal-torsional coupling stiffness; s4, calculating a longitudinal-torsional coupling inherent frequency and a vibration mode of the ship propulsion shafting through a coupling free vibration kinetic equation of the ship propulsion shafting; and S5, substituting the propeller excitation calculated in the step S2 into the ship propulsion shafting coupling forced vibration kinetic equation to calculate the longitudinal-torsional coupling forced vibration response of the ship propulsion shafting. According to the marine diesel engine shafting longitudinal-torsional coupling vibration calculation method, the crankshaft longitudinal-torsional coupling rigidity is calculated based on a material mechanical deformation energy method, and related exciting force considering the crankshaft longitudinal-torsional coupling effect is obtained by combining related formulas of marine diesel engine shafting dynamics; and finally, ship shafting longitudinal-torsional coupling vibration inherent characteristics and ship shafting longitudinal-torsional coupling forced vibration response are obtained through calculation.

The invention discloses an unmanned platform electromechanical system fault early warning method based on a Transform-BiGRU cross attention mechanism, and belongs to the technical field of fault early warning. The method comprises the following steps: acquiring parameters, and performing time sequence alignment and key feature screening; secondly, designing a parallelization spatio-temporal feature extraction framework: on one hand, capturing a long time sequence dependency relationship through a multi-layer Transform encoder, on the other hand, realizing bidirectional context modeling of a sequence by adopting a bidirectional gating circulation unit, and introducing an interpretable global attention mechanism to perform feature weight dynamic allocation on a BiGRU hidden layer state; and a cross attention feature fusion module is constructed for a Transform and BIGRU fusion problem, and cooperative characterization of a time sequence dynamic feature and a space correlation feature is realized through interactive attention calculation of a spatial-temporal feature tensor. By means of the method, advanced early warning from diesel engine lubricating oil pressure abnormity to whole ship electric power system cascade faults is achieved.

The invention provides an RNN-A-ECMS diesel-electric hybrid power ship energy control method considering battery life attenuation. The method comprises the steps that a diesel-electric hybrid power ship model is established; an optimized energy management strategy based on a PMP algorithm, wherein the optimized energy management strategy comprises a PMP energy management strategy considering optimization of battery life attenuation; a self-adaptive multi-target energy management strategy based on an RNN recurrent neural network comprises an online energy management strategy combining the RNN recurrent neural network and an A-ECMS self-adaptive equivalent fuel consumption minimum energy management strategy, training of a prediction model RNN recurrent neural network of a battery charge condition SOC reference trajectory, and optimization of control parameters by combining a PSO algorithm and a PMP algorithm. According to the method, the hamiltonian function is improved by establishing the battery semi-empirical life loss model, adding the penalty factor related to the battery life in the PMP energy management strategy and fully considering the influence of the battery output current rate on the battery life loss, so that the multi-objective optimization of the battery life attenuation and the fuel consumption of the diesel engine set is realized.

The invention provides a diesel engine misfire fault diagnosis method based on a GRU and a PINN. The diesel engine misfire fault diagnosis method comprises the following steps of diesel engine multi-source data acquisition, data preprocessing and model sample generation; designing a gating circulation unit, introducing a physical constraint embedding module, constructing a misfire fault diagnosis model, and fusing the misfire fault diagnosis model with a long-short term memory model and a physical neural network; performing joint training and optimization on the misfire fault diagnosis model in the step S2 by using the samples in the step S1; and deploying a misfire fault diagnosis model and performing real-time diagnosis. The method has the beneficial effects that the time sequence data-physical model dual-drive diagnosis of the misfire fault of the diesel engine is realized; the accuracy of misfire diagnosis is improved; and the false alarm rate of complex working conditions is effectively reduced.

The utility model relates to the technical field of engines, discloses a water pump water inlet pipe assembly, a cooling system and an engine, and aims to solve the problem that water temperature deviation of water pumps on two sides of an existing diesel engine is large. The water pump water inlet pipe assembly comprises a first water inlet pipe, a second water inlet pipe, a converging part, a first water outlet pipe, a second water outlet pipe, a first flow guide rib and a second flow guide rib, and the converging part comprises a first side plate, a second side plate and a connecting plate connected between the first side plate and the second side plate, the first water inlet pipe, the second water inlet pipe, the first water outlet pipe and the second water outlet pipe communicate with the containing space. At least one part of the first flow guide rib protrudes out of the surface of the side, facing the second side plate, of the first side plate, and at least one part of the second flow guide rib protrudes out of the surface of the side, facing the first side plate, of the second side plate. And the extension direction of the orthographic projection of the first flow guide rib on the first plane is crossed with the extension direction of the orthographic projection of the second flow guide rib on the first plane.

The invention discloses a digital twin intelligent test run system based on a marine medium-speed diesel engine and a monitoring method, relates to the technical field of monitoring, and is used for solving the problems of degeneration identification lag and low emission early warning precision of an oil injector. The system comprises a multi-source heterogeneous data preprocessing module and a running state intelligent diagnosis module. The multi-dimensional data acquisition module is used for acquiring in-cylinder pressure, crankshaft torsional vibration and transient air-fuel ratio signals to construct multi-dimensional data vectors, and the multi-dimensional data acquisition module is used for analyzing combustion fluctuation characteristics based on an attention mechanism LSTM (Long Short Term Memory) network, identifying early deterioration of an oil injector and outputting an oil injection consistency coefficient and a fault type identifier. The method comprises the steps that according to an oil injection consistency coefficient, electromagnetic valve response delay and combustion parameter correlation are tracked, a degradation trend is predicted, and emission early warning is generated; and according to prediction and early warning results, fuel injection compensation parameters are dynamically adjusted in the digital twinborn model, a recursive least square method is adopted to identify combustion parameters and feed the combustion parameters back to an electric control unit, and self-adaptive optimization and closed-loop control in the test run stage are achieved.

The invention relates to an intelligent masonry robot for an underground roadway. The engineering truck comprises a guniting engineering truck and a masonry engineering truck, the guniting engineering truck comprises a mining pickup truck, a stirrer and a slurry pump, and the masonry engineering truck comprises a crawler walking part, a diesel engine pump station, an anti-explosion electric box, a navigation bridge, an auxiliary mechanical arm, a brick placing platform, special bricks and a masonry mechanical arm. The guniting engineering vehicle and the masonry engineering vehicle can operate independently and cooperate with each other during masonry. The auxiliary mechanical arm places a special claw on the brick placing platform, the masonry mechanical arm grabs special bricks above the brick placing platform, mortar is smeared on the special bricks at the position of the mortar spraying nozzle through cooperation of all levels of arms and the mechanical claw at the tail end, the special bricks are built in a roadway, and integration of mortar spraying, mortar coating and bricklaying is achieved under the assistance of the roadway wall structure parameter real-time detection technology. The construction method has the advantages that a traditional manual masonry mode is replaced, and the construction method has the advantages of being good in maneuverability, high in adaptability, high in masonry efficiency, good in sealing effect and high in gas and CO blocking capacity.

The invention relates to the technical field of box type diesel generating sets, in particular to a box type diesel generating set with a damping structure. Comprising a bottom frame, the bottom frame is fixedly connected with a plurality of fixing pins, the fixing pins are jointly connected with a bearing table in a sliding mode, the bearing table is provided with an engine and a generator, the engine is provided with an output shaft, the generator is provided with an input shaft, the output shaft is fixedly connected with a first fixing ring, and the first fixing ring is fixedly connected with a fixing column. The input shaft is fixedly connected with a second fixing ring. The mode that an existing coupler structure is replaced by active connection is adopted, so that when the diesel engine transmits power to the generator through a coupler, the generator cannot rotate along with an output shaft of the diesel engine under the action of viscous engine oil in the generator, and the diesel engine cannot drive the generator to rotate temporarily; therefore, the damage risk of mechanical parts in the diesel engine is reduced.

The invention belongs to the technical field of mechanical test tool equipment, and particularly relates to an electro-hydraulic speed regulator test testing device. Comprising the steps that a virtual diesel engine model generates a signal and supplies the signal to a rotating speed controller, an alternating current power supply supplies power to a frequency converter to drive a motor to operate, and the rotating speed of the motor is transmitted to an electro-hydraulic speed regulator through a first coupler to drive a main pump in the electro-hydraulic speed regulator to build pressure; a hydraulic bridge circuit in the electro-hydraulic speed regulator acts to drive the output shaft to rotate, the output shaft transmits an output signal back to the virtual diesel engine model through the flywheel, the magnetic powder brake and the angle sensor, and the virtual diesel engine model feeds back the signal to the magnetic powder brake through the brake controller; and the output torque of the electro-hydraulic speed regulator is ensured to meet the operation requirement and is confirmed by the torque sensor. The electro-hydraulic speed regulator test device has the advantages that the electro-hydraulic speed regulator test device is provided with the outer circulation oil way, and the test requirements of various electro-hydraulic speed regulators can be met.

The invention discloses transmission case rotating shaft torque testing equipment for simulating limit load, which relates to the technical field of sensor detection, and comprises a transmission case unit to be detected, a loading table and a lifting table, and the transmission case unit is composed of a generator, a motor shaft, a coupling, an output shaft and a diesel engine set. A driving wheel set is arranged on the loading table, a transmission case unit to be detected is placed on the loading table, a plurality of lifting hydraulic cylinders are arranged at the bottom of the lifting table, a first transmission unit and a second transmission unit are arranged on the lifting table in a sliding mode, and the first transmission unit and the second transmission unit make contact with the transmission case unit. A detection assembly is arranged between the first transmission unit and the second transmission unit, and the detection assembly detects the torque of the output shaft, the torque of the output shaft is measured on the premise that the transmission box is not disassembled, the detection efficiency of the transmission box is improved, and an operator can conveniently overhaul and maintain the transmission box.

The invention discloses a high-pressure oil pump fault early warning method, system and device, and relates to the technical field of marine diesel engine fault diagnosis. The early warning method comprises the steps of obtaining sample data of a high-pressure oil pump in response to a stable-pressure working condition of the high-pressure oil pump; the sample data comprises the front end temperature and the rail pressure of the high-pressure oil pump; inputting the sample data into a pre-trained early warning model to obtain detection parameters; and generating early warning information in response to the fact that the detection parameter is greater than the first threshold. Therefore, by monitoring the front-end temperature and the rail pressure of the high-pressure oil pump and inputting the data into the pre-trained early warning model, online fault early warning of the high-pressure oil pump can be achieved, potential fault conditions can be found early, further deterioration of the faults is avoided, the downtime and the maintenance cost are reduced, and the reliability and the stability of the diesel engine are improved. And secondly, by generating the detection parameter and the first threshold value, when the detection parameter exceeds the first threshold value, the early warning information is generated, so that the accuracy of fault detection is improved, and the situations of false alarm and missing alarm are reduced.

The invention relates to the technical field of underground engineering, and discloses an automatic pipe jacking machine for pipe jacking construction, which comprises a main frame made of high-strength steel and capable of bearing thrust applied by the pipe jacking machine in the working process; the propelling module comprises a plurality of push rods, and the maximum thrust of the propelling module is 80 tons; the guide modules are arranged on the two sides of the main rack, each guide module is composed of a guide frame and a base, and the pipe jacking machine keeps linear motion in the construction process; the heading head is mounted in front of the propelling module and comprises a cutting tool and a spiral conveyor; the power module is arranged in the heading head, adopts a diesel engine, has the power of 150kW, and provides continuous power for the heading head; and the control module is arranged in the main rack and fixedly mounted on the side wall of the main rack. The reliability of the equipment is improved, and the intelligent monitoring and early warning system is additionally arranged, so that the equipment deviation or damage caused by geological sudden change can be effectively avoided, the construction risk is greatly reduced, and the operation safety and high efficiency are guaranteed.

The invention discloses a diesel engine fault diagnosis method, system and device and a medium, and relates to the technical field of diesel engine fault diagnos.The method comprises the steps that vibration signal data of a diesel engine are collected; constructing a fault diagnosis model in parallel based on the improved one-dimensional convolutional neural network; vibration signal data are input into a fault diagnosis model, time domain features and frequency domain features of vibration signals are extracted through a dual-channel convolution layer, the time domain features and the frequency domain features are input into a gating circulation unit layer after passing through a three-layer pooling layer for time sequence modeling, and dynamic change information of the time domain features and the frequency domain features is obtained; key information of dynamic change information is extracted through an attention mechanism layer and fused, the key information passes through a global maximum pooling layer and then is input into a Softmax layer, and a classification result is output to diagnose faults of the diesel engine; according to the method, key information of dynamic change information is extracted by introducing a gating circulation unit and an attention mechanism, and the fault detection precision is improved.

The invention provides a diesel engine lubricating oil system cross-working-condition fault diagnosis method and system based on deep transfer learning. The method comprises the following steps that physical signals of different fault types of a diesel engine lubricating oil system under different loads are collected; segmenting the physical signal by adopting a sliding window method, establishing a fault label for each segment of segmented physical signal based on a fault type, and obtaining an initial data set containing the fault labels; and on the basis of the initial data set and a diesel engine fault diagnosis model combined with deep transfer learning, diesel engine cross-working-condition fault diagnosis is carried out, and a fault diagnosis result is obtained. According to the method, data feature hierarchical fusion is carried out based on the one-dimensional convolutional neural network, feature reconstruction of structured data is realized, and the data feature representation capability is enhanced. And the generalization ability of the fault diagnosis model is improved through model fine tuning, and accurate fault identification under cross-working conditions is realized.

The invention belongs to the field of engine aftertreatment systems, and provides a composite two-stage SCR system, a control method, an aftertreatment system.The system comprises a first SCR, a first ASC, a DOC, a DPF, a second SCR, a second ASC, a calculation control unit, an electric heating device, a gas concentration detection unit and an exhaust temperature unit; and the control unit is used for determining a urea injection control strategy of the first SCR and the second SCR and a working strategy of the electric heating device according to the nitrogen oxide concentration and the nitrogen dioxide proportion detected by the gas concentration detection unit and the temperature obtained by the exhaust temperature unit, and respectively controlling the first SCR, the second SCR and the electric heating device to work according to the determined strategies. According to the invention, the cooperative control requirement of ultralow nitrogen oxide emission and nitrous oxide gas emission limitation of the diesel engine can be met.

The invention discloses an intelligent peak regulation method with optimized combination of energy storage and conventional peak regulation means, and the method comprises the following steps: building a holographic situation awareness layer: capturing the voltage, current phase angle and frequency deviation of a power grid, and monitoring the pressure fluctuation in a diesel engine cylinder; data transmission and preprocessing: encrypting data of the miniature phasor measurement unit and the quantum sensor by using a quantum key distribution technology; the self-adaptive decision engine is used for performing Nash equilibrium calculation by utilizing a federal reinforcement learning architecture, through a local Agent based on a power generation / energy storage unit state autonomous optimization control strategy and in combination with a digital twin platform, solving multi-target conflicts of economy, reliability and carbon emission, and generating a global optimal scheduling instruction; the execution control layer is used for tracking resonance points and dispersing harmonic energy spectrums; dynamic topology reconstruction: a harmonic source is positioned by using a digital twin platform, and the topology of the energy storage system is automatically switched according to the harmonic frequency and position; continuously optimizing the digital twin platform; and full-process closed-loop feedback and self-learning are carried out.

The invention relates to the technical field of multi-cylinder diesel engine cylinder body casting, and discloses a multi-cylinder diesel engine cylinder body casting mold and a using method thereof.The multi-cylinder diesel engine cylinder body casting mold comprises a bottom plate, a mold body is fixedly connected to the top of the bottom plate, supporting legs are fixedly connected to the bottom of the bottom plate, a bent frame is fixedly connected to the surface of the bottom plate, and a hydraulic rod is fixedly connected to the end, away from the bottom plate, of the bent frame; a die-casting plate is fixedly connected to the telescopic end of the hydraulic rod, a through hole is formed in the bottom of the inner wall of the die, the exhaust component comprises a sliding frame, the inner wall of the sliding frame is slidably connected with the surface of the bent frame, and an electric push rod is fixedly connected to the surface of the sliding frame. After a smelted material is poured into a mold, a hydraulic rod is started to push a die-casting plate into the mold for die-casting forming, and after the smelted material enters the mold, an exhaust part is started to enter the mold, and liquid in the mold is stirred through the exhaust part; and gas in the liquid is discharged in a stirring manner.

The invention relates to the technical field of ship propulsion power generation system control, in particular to a constant-power rotating speed control method and system for a ship shaft generator, and the method comprises the following steps: obtaining operation state parameters and ship environment parameters of a ship propulsion power generation system; based on the operation state parameters and the ship environment parameters, the influence of the adjusting action of the shaft generator on the rotating speed of a main propulsion diesel engine and the influence of the adjusting action of a main propulsion diesel engine speed adjusting device on the output power of the shaft generator are pre-judged, and an interactive pre-judgment result is obtained; according to the interactive pre-judgment result, jointly deciding and generating a first adjusting instruction for adjusting an axle generator and a second adjusting instruction for adjusting a main propulsion diesel engine speed adjusting device; by introducing an interactive pre-judgment and joint decision-making mechanism, the negative interaction between the shaft generator and the main propulsion diesel engine speed regulation device can be effectively identified and eliminated, and the operation stability and safety of the ship under the severe sea condition are improved.

The invention relates to diesel engine accessory casting post-processing equipment, and relates to the field of diesel engine accessory processing, the diesel engine accessory casting post-processing equipment comprises a processing circular truncated cone, the left and right sides of the processing circular truncated cone are provided with fixing supports, and the upper end of the processing circular truncated cone is provided with an inner fixing assembly and an outer fixing assembly. Through cooperation of the inner fixing assembly and the outer fixing assembly, the gear is concentrically fixed inside and outside in multiple directions, the influence of impact force or other external force on the gear in the machining process can be reduced, machining defects caused by gear shaking or deviation are avoided, the drilling precision and consistency are improved, and the machining efficiency is improved. And the position adjusting time of the gear in the drilling machining process can be shortened, so that the production efficiency is improved. According to the gear drilling device, the placing position of the gear can be automatically adjusted and corrected, so that it is ensured that the gear is located at the accurate and appropriate drilling position, time and energy consumed for manually adjusting the position of the gear are reduced, and the drilling efficiency is further improved on the premise that the drilling precision and the drilling quality are ensured.

The invention provides a hierarchical CCA-based diesel engine multivariate state parameter association analysis method and system. The method comprises the following steps: constructing a multi-dimensional time sequence matrix according to a diesel engine state type and each measuring point state parameter; dividing a multi-dimensional time sequence matrix into a main parameter state matrix and other parameter state matrixes according to whether a measuring point exceeds the limit or not; performing hierarchical decomposition on each measuring point state parameter in the state matrix to obtain a main parameter hierarchical state matrix and other parameter hierarchical state matrixes; carrying out canonical correlation analysis on the main parameter hierarchical state matrix and other parameter hierarchical state matrixes to obtain an optimal projection vector; calculating the maximum correlation according to the main parameter hierarchical state matrix, the other parameter hierarchical state matrix and the optimal projection vector; and taking the measuring points corresponding to other parameter hierarchical state matrixes with the maximum correlation values as associated measuring points. Therefore, fault analysis is carried out based on the accurate associated measuring points in combination with the main measuring point, and the efficiency and accuracy of fault diagnosis are improved.

The invention discloses a welding tool and method for a lubricating oil pipe of a torsional vibration damper of a low-speed diesel engine, the tool comprises bottom base I-shaped steel, side base I-shaped steel, a side base transverse plate and a bottom base transverse plate, the bottom base I-shaped steel is placed on the ground, the side base I-shaped steel and the bottom base transverse plate are welded on the bottom base I-shaped steel, and the included angle between the side base I-shaped steel and the bottom base transverse plate is 90 degrees; a positioning hole is formed in the upper surface and is used for positioning a lubricating oil pipe flange; the welding method comprises the steps that a flange is pre-connected, a lubricating oil pipe is hoisted to a tool transverse plate datum plane, and a positioning pin locking hole position is inserted; and the included angle between the axes of the left flange and the right flange of the lubricating oil pipe is calibrated to be 90 + / -0.5 degrees, full welding is completed through the TIG segmented welding technology, the deformation is controlled to be smaller than or equal to 0.15 mm, and finally assembly welding of the torsional vibration damper lubricating oil pipe is completed. The positioning device solves the positioning problem of the lubricating oil pipe before welding, error accumulation is avoided, the working efficiency and precision are improved, the sealing performance of lubricating oil pipe parts is guaranteed, and the positioning device has the advantages of being simple in structure, convenient to install, reliable in positioning, high in precision and high in efficiency.

The invention discloses an adaptive power control method for a duplex-winding induction generator system, and belongs to the technical field of generator control. The double-winding induction generator system is composed of a double-winding induction generator, an energy storage unit, a static excitation converter and a diesel engine. According to the self-adaptive power control method, control winding current is decoupled into excitation control and electromagnetic torque control through coordinate transformation based on rotor flux linkage orientation, independent adjustment of output power of the generator is achieved, passive regulation and control of power of an energy storage unit are achieved through control of electromagnetic torque of the generator, and the self-adaptive power control method is achieved. The problem that the control freedom degree of a single converter system is insufficient is solved. Besides, according to the control method adopted by the invention, a dynamic planning-based generator / energy storage unit power distribution strategy with minimum fuel loss as a target is adopted, so that the generator is ensured to always work in a high-efficiency interval of the diesel engine within a wide load change range, and the power generation cost is remarkably reduced.

The invention relates to the technical field of disassembling tools for insulating water pipes in cylinder sleeves on low-speed diesel engines, and discloses a tool for pulling out an insulating pipe of a marine low-speed engine cylinder sleeve, which comprises an assembly block, trapezoidal pull rods, an opening rod, an assembly arm, a screw rod, a screw sleeve, an impact block and a limiting block, the trapezoidal pull rod is connected with the interior of the assembly block through a first spring, the opening rod and the impact block are in threaded connection with each other, the limiting block is inserted into the left side of the impact block, the assembly block comprises a threaded cylinder, the bottom of the threaded cylinder is in threaded connection with a bottom cover, and a limiting column is assembled at the top of the bottom cover and connected with the first spring. According to the tool for pulling out the insulating pipe of the cylinder sleeve of the marine low-speed machine, the elastic pin can be conveniently disassembled, and the situation that a rust remover is directly sprayed into a pipeline, consequently, the rust remover cannot be completely sprayed to the outer portion of the elastic pin, and the rust remover is wasted is avoided.

The invention discloses a two-stage optimization method for carbon constraint micro-grid energy management. The method comprises the following steps: establishing power balance constraints of various components in a micro-grid, an economic-low carbon joint objective function, optimization solution of diesel engine power, grid transaction, a load strategy and energy storage scheduling; the system-level CVaR tail risk index is decoupled to a short-time-period CVaR value according to the probability distribution of the system-level CVaR tail risk index and the time window area proportion, and the short-time-period CVaR value serves as a carbon over-quota emission risk constraint boundary and is transmitted to the intra-day level; actually measured wind and light load data are fed back to the prediction model for real-time correction in each period; constructing a robust optimization model to dynamically adjust conservative coefficients; the risk budget is used as a hard constraint, and the expected value of the excess carbon emission condition in the window is calculated in real time; a closed loop is formed. The intra-day rolling optimization provided by the invention is based on an ultra-short-term prediction technology, and the prediction error of the intra-day rolling optimization is only slowly increased in a finite time window, so that the prediction precision at the same time point is obviously superior to that of a day-ahead optimization result.

The invention relates to the technical field of ship power and propulsion control. The invention provides a multi-source cooperative propulsion control method and system based on hybrid power and a straight wing steering oar. The method comprises the following steps: collecting ship motion state parameters and environment parameters in real time; constructing a multi-objective joint optimization model, and solving an optimal power distribution proportion and an optimal thrust vector under the current working condition by adopting a dynamic programming algorithm; based on the optimal power distribution proportion, a fuzzy PID controller is adopted to dynamically adjust the torque coupling ratio of the diesel engine and the motor; according to the optimal thrust vector calculation result, vector synthesis is carried out on the propulsive force and the steering torque; and predicting the motion state of the ship based on an extended Kalman filter, and correcting the weight coefficient of the multi-target joint optimization model on line in combination with the change rate of the channel boundary distance. The problem that adaptability to complex working conditions is insufficient due to the fact that a traditional control strategy does not fully fuse ship motion states and environment parameters is solved.

The invention belongs to the technical field of diesel generating sets, and particularly relates to a low-noise diesel generating set. Comprising a base; the soundproof box is arranged on the base, a fan, a diesel engine and a generator are arranged on the base, the diesel engine is provided with and communicates with an intake manifold and an exhaust pipe, an input shaft of the generator is fixedly connected with a first connecting seat, and the first connecting seat is slidably connected with sliding shells which are evenly distributed; a first spring is arranged between the sliding shell and the first connecting base, an output shaft of the diesel engine is fixedly connected with a second connecting base, the second connecting base is connected with a sliding ring in a sliding mode, and the sliding ring is fixedly connected with evenly-distributed sliding columns. When the rotating speed of the diesel engine exceeds the rated value, connection between the diesel engine and the generator is automatically disconnected, the generator is prevented from being affected by excess power, and therefore the generator is protected against damage, and stable operation of an electrical system is guaranteed.