660 results about "Oil consumption" patented technology

The invention relates to a ship operation energy consumption prediction method considering an actual storm condition. The method comprises the following steps: fusion and data processing of multi-source navigation environment data; the still water resistance and the wave increase resistance are calculated through a program, and the navigational speed-power relation of the ship under the actual wind wave condition is calculated; predicting the power-oil consumption relation of the ship according to the route segments: based on the navigational speed-power relation of the ship under the actual storm condition, establishing a prediction agent model of the power-oil consumption relation of the ship according to the historical oil consumption data of the ship; and ship operation energy consumption prediction: combining the annual route segment information of the ship, predicting the agent model based on the branch route segment ship power-oil consumption relation, thereby obtaining the oil consumption of each route segment of the ship in the whole year, and calculating the annual operation energy consumption of the ship. According to the method, the prediction precision is remarkably improved, the generalization ability and the real-time response speed of the model are enhanced, and powerful support is provided for energy conservation and emission reduction of ships.

The invention relates to the technical field of new energy automobile charging, in particular to a new energy automobile driving and charging behavior optimization method and system, and the method comprises the steps: S1, data collection: collecting vehicle travel data, charging data, endurance data, oil consumption and power consumption data, mileage credibility data and mileage data; s2, data processing: preprocessing the collected data, including data cleaning, data format conversion and feature extraction, to ensure the quality and consistency of the data; s3, data analysis: analyzing the preprocessed data based on a multi-dimensional data model and a machine learning algorithm, and identifying key factors affecting the performance of the new energy vehicle; and S4, optimization suggestion: generating personalized driving and charging optimization suggestion according to the data analysis result, and helping the user to optimize the driving behavior and the charging strategy. The driving and charging behaviors of the new energy automobile can be optimized in combination with the condition of the user, and the energy utilization efficiency and the endurance mileage of the new energy automobile are improved.

The invention relates to the technical field of automobile power system control, in particular to an automobile start-stop system management method based on intelligent control, which comprises the following steps: S1, a multi-mode environment sensing system; s2, a deep reinforcement learning decision framework; s3, hierarchical cooperative control execution; s4, a real-time health assessment system; s5, a cloud collaborative optimization mechanism; through intelligent start-stop strategy optimization and energy recovery management, under the urban congestion working condition, compared with a traditional start-stop system, the method can further reduce oil consumption by 15-20%; and under the comprehensive working condition, the oil consumption can be reduced by 8-12%. The fuel consumption cost of the vehicle is reduced, the development trend of global energy conservation and emission reduction is also met, and important economic and environmental significance is achieved.

The invention provides a fuel consumption analysis method, electronic equipment, medium and system for a mine vehicle, and the method comprises the steps: obtaining the state information of the vehicle and the road information of a mine, the road information comprising the longitude, the latitude and the elevation; dividing the road into a plurality of line segments according to the road information, removing curve line segments, leaving straight line segments, and storing the longitudes, latitudes and elevations of the plurality of straight line segments as a first sample library; calculating the gradient of each straight-line segment in the first sample library according to the elevation, and correspondingly storing the gradient of each straight-line segment, the longitude, the latitude and the elevation to form a second sample library; classifying samples in a second sample library according to the state information and the gradient of the vehicle to form a plurality of classification groups; and in each classification group, analyzing the relationship among the state information of the vehicle, the gradient and the fuel consumption of the vehicle. The technical problem that systematic, complete and effective oil consumption data of the mining vehicle cannot be accurately obtained in the prior art is solved, and the influence of the speed and load conditions of the mining vehicle and the slope of the road on the oil consumption is clearly and accurately known by adopting the oil consumption analysis method of the mining vehicle, so that the oil consumption analysis accuracy is improved. And the management of the mining vehicles can be refined and accurate.

A turbocharger device relates to the technical field of internal combustion engine supercharging devices and comprises a bearing body, an oil supply pipeline and an integrated bearing. The integrated bearing comprises a pressing end integrated bearing and a vortex end integrated bearing which are arranged in parallel in the axial direction, the bearing body comprises a bearing seat inner wall face, a supporting sleeve is rotationally arranged in the bearing seat inner wall face, and the pressing end integrated bearing and the vortex end integrated bearing are located on the two sides of the supporting sleeve; the pressure end integrated bearing and the vortex end integrated bearing are correspondingly connected with a first oil supply pin and a second oil supply pin which are communicated with inner cavities of the pressure end integrated bearing and the vortex end integrated bearing in the radial direction, and the first oil supply pin and the second oil supply pin are fixed to the bearing body. The split type bearing system is used for solving the problems that although a split type bearing system in the prior art avoids the influence of high temperature, engine oil consumption is large, inner oil film lubrication is insufficient, and cost is high; although an integrated bearing system realizes low cost and structure simplification, the key problems of sufficient lubrication of an inner oil film, high-temperature reliability of a thrust surface and oil control capacity of a gas compressor side are obviously short.

The embodiment of the utility model relates to the technical field of electromagnetic valves, and discloses a high-temperature electromagnetic valve group. The high-temperature electromagnetic valve set comprises a plurality of electromagnetic valves, a plurality of main valves, a high-temperature fuel oil channel, a cold oil channel and a first channel. The plurality of main valves are respectively connected with the plurality of electromagnetic valves one by one, each electromagnetic valve comprises an electromagnetic valve upper valve seat, an electromagnetic valve lower valve seat, an electromagnetic valve upper valve core and an electromagnetic valve lower valve core, each electromagnetic valve is connected with an electromagnetic valve upper channel and an electromagnetic valve lower channel, and each main valve comprises a main valve pilot cavity and a main valve piston; and the high-temperature fuel oil channel comprises a high-temperature fuel oil inlet and a plurality of high-temperature fuel oil outlets, high-temperature fuel oil is introduced into inner cavities of the main valves through the high-temperature fuel oil inlet, and when the electromagnetic valves are powered off, the main valve pistons move upwards under the pressure action of the high-temperature fuel oil, the main valves are opened, and the high-temperature fuel oil flows out through the high-temperature fuel oil outlets. According to the device provided by the embodiment of the invention, the oil consumption of the high-temperature electromagnetic valve group can be reduced.

The invention belongs to the technical field of vehicle fairing control, and particularly discloses a vehicle fairing control method and system fusing oil consumption and wind resistance, a terminal and a medium. Comprising the steps that the speed, fuel consumption parameters and wind pressure parameters of a vehicle in the running process are obtained, and fuel consumption change parameters and wind pressure distribution characteristic parameters are extracted; a multivariable optimization model with the minimum comprehensive energy consumption as the target is constructed; based on the model, a model prediction control algorithm is adopted to solve the optimal control quantity of the attitude of the fairing in a prediction time domain, and control instructions of the angle and the deflection direction are generated; when environmental disturbance or attitude response deviation is detected, dynamically adjusting a target function weighting coefficient or an input penalty factor to correct control output; and adjusting the posture of the fairing in real time according to the corrected control instruction. Through fusion modeling of fuel consumption parameters and wind pressure characteristic information, predictive control and self-adaptive adjustment of the attitude of the vehicle fairing are realized, and fuel economy and aerodynamic performance can be considered under multiple working conditions.

The invention provides a vehicle control method and device, a vehicle and a computer readable storage medium, the method is applied to a battery management system of the vehicle, and the method comprises the steps that under the condition that the vehicle is in a voltage control mode, the working state of a battery pack is obtained; wherein when the vehicle is in the voltage control mode, the vehicle starts an engine, the engine drives a power generation system to operate, the power generation system supplies power to a driving motor, the working state is used for representing whether a battery pack can provide high-voltage electricity for a high-voltage load of the vehicle or not, and the high-voltage load comprises the driving motor; according to the working state, whether the vehicle meets the switching condition of switching from the voltage control mode to the high-voltage control mode or not is judged; when the vehicle is in a high-voltage control mode, power is supplied to the driving motor through the battery pack; and switching the vehicle from the voltage control mode to the high-voltage control mode under the condition that the switching condition is met. The battery pack is preferentially used for supplying power to the driving motor, so that the oil consumption of the vehicle is reduced.

A method for determining engine oil system health includes determining an oil level in an engine oil sump of an engine, determining an oil consumption rate of the engine based on a current oil volume and a time at which the oil was last replenished, determining a remaining useful oil volume based on the oil consumption rate and duty cycle data of the engine, and generating an alert in response to the oil consumption rate being greater than a predetermined threshold, the alert comprising a command to a controller associated with the engine to cause the engine to perform an action.

The invention relates to the technical field of flow measurement, and discloses a ship fuel consumption whole-process online monitoring system and method.The system comprises a data acquisition module, a data regulation module, a temperature compensation module, a fuel consumption abnormity monitoring module, an energy efficiency evaluation analysis module and a data communication reporting module, and fuel flow and temperature data of a ship are acquired in real time; and a standardized data set is obtained after data normalization. According to the real-time fuel oil temperature, temperature-density coupling compensation is carried out on the volume flow, the volume error caused by thermal expansion and cold contraction is eliminated, and therefore the net fuel oil consumption is calculated. The consumption is compared with a preset fuel consumption threshold value in real time, and if the consumption continuously exceeds the threshold value, a fuel consumption abnormity identifier is generated. Afterwards, energy efficiency grade evaluation is carried out on the fuel oil use efficiency in combination with the real-time navigation state of the ship to obtain an energy efficiency analysis result, and the energy efficiency analysis result is transmitted to a remote monitoring platform through a ship communication channel; according to the invention, the accuracy of ship fuel consumption whole-process online monitoring can be improved.

The invention relates to the technical field of fuel additives, in particular to a fuel additive as well as a preparation method and application thereof. Comprising the following components in parts by weight: 60 to 220 parts of bis-polyether amine, 10 to 20 parts of polyisobutene amine, 5 to 15 parts of polyether polyol, 5 to 30 parts of alkyl amine alcohol, 0.5 to 20 parts of polybasic fatty acid ester, 0.5 to 20 parts of alkyl acid ester, 10 to 30 parts of a catalyst, 2 to 7 parts of an antioxidant, 5 to 10 parts of a corrosion inhibitor and 10 to 50 parts of carrier oil. A small amount of the fuel additive is mixed with gasoline or diesel oil, and through bis-polyether amine and polyisobutene amine, combustion of fuel oil in a combustion chamber of an internal combustion engine is improved, more complete combustion of the gasoline or the diesel oil is promoted, the combustion efficiency of the fuel oil is enhanced, the oil consumption is reduced, and the economical efficiency of the fuel oil is improved; and air pollution caused by emission of hydrocarbon or combustion intermediate products is reduced.

The invention relates to the field of extended-range hybrid electric vehicle control, and particularly discloses a multi-mode self-adaptive amphibious vehicle extended-range system start-stop control method, which comprises the following steps of: switching to a corresponding working mode according to a driving environment of a vehicle, the range extending system is adaptively adjusted to a power generation working condition or a stop working condition according to different working modes; the range extending system start-stop control module comprises a range extender starting module and a range extender stopping module, and the engine starting module is divided into a starter emergency starting mode and an ISG reverse dragging engine starting mode; task requirements of a driver can be met, operation states of all parts can be coordinated more sufficiently, energy output efficiency is improved, the range extending system is higher in starting and response speed and lower in oil consumption and emission in the starting process, meanwhile, the mode that an engine is started by a starter is reserved to cope with emergency situations, and the range extending system is suitable for popularization and application. And the stability and the reliability of the whole system are improved.

The invention discloses a vehicle fuel consumption management method, system, device and product. The method comprises the steps of obtaining vehicle dynamic data; abnormal monitoring and alarm processing are carried out on the vehicle dynamic data, and an abnormal alarm event is generated; performing driving behavior analysis processing on the vehicle dynamic data to obtain a driving behavior report; performing dynamic route and speed optimization analysis and vehicle condition and energy consumption correlation optimization analysis processing on the vehicle dynamic data to obtain an optimization suggestion; and carrying out visual display on the abnormal alarm event, the driving behavior report and the optimization suggestion, and receiving an interaction instruction to carry out oil consumption management on a target vehicle. The embodiment of the invention can improve the fuel consumption management of the vehicle, and can be widely applied to the technical field of vehicle management.

The utility model discloses a gearbox for an oil-electricity double-engine ship. The gearbox comprises a box body, the diesel oil input component comprises a first input shaft, a first driving gear is sleeved on the first input shaft, and the first input shaft is provided with a first transmission gear and a first clutch; the reversing shaft part comprises a reversing shaft, a second driving gear is sleeved on the reversing shaft, the reversing shaft is provided with a second transmission gear and a second clutch, and the second transmission gear is meshed with the first transmission gear; the motor input component comprises a second input shaft, the second input shaft is sleeved with a third driving gear in an empty mode, the third driving gear is meshed with a first driven gear, the second driving gear is fixedly sleeved with the first driven gear, and the second input shaft is provided with a third clutch; the output shaft component comprises an output shaft and a second driven gear, and the second driven gear is meshed with the first driving gear and the second driving gear. According to the scheme, the diesel engine or the motor is independently used for driving, intelligent switching of the diesel engine and the motor can be achieved at any speed, oil consumption is reduced, and power performance is improved.

The invention discloses a range-extending power generation control device and method for a range-extending vehicle, and the method comprises the steps: enabling the vehicle to enter a mute mode when responding to a mute instruction, enabling a range extender to operate at an NVH optimized working condition point through responding to a first torque request and a first rotating speed request, and enabling the range extender to operate at an NVH optimized working condition point; meanwhile, the range extender is controlled to be switched to a sub-mode in a mute mode according to the current electric quantity state of the battery; and when the mute instruction is not responded, the vehicle enters a normal mode, the range extender is made to operate at the minimum oil consumption rate working condition point by responding to the second torque request and the second rotating speed request, and meanwhile the range extender is controlled to be switched to a sub-mode in the normal mode according to the current electric quantity state of the battery. The problems of high noise and poor user experience caused by neglecting the NVH demand in the power generation control of the existing extended-range automobile are solved, and meanwhile, the low oil consumption demand and battery protection are considered.

The invention relates to an earth-rock engineering rolling construction monitoring method and device, electronic equipment and a storage medium. The method comprises the following steps: dividing a construction area into a plurality of target block-shaped areas; in the construction process of the construction area, collecting real-time state data for a currently constructed target block-shaped area; analyzing the real-time state data based on a rolling pass intelligent algorithm, and determining a target detection result; on the basis of the target detection result, a compensation rolling strategy is generated for the target block area which is not qualified in rolling; wherein the compensation rolling strategy comprises at least one of a compensation path and a compensation parameter; the compensation rolling strategy is sent to the construction equipment; wherein the compensation rolling strategy is used for controlling the construction equipment to complete rolling operation. Thus, granulation management of the construction area can be achieved, accurate coordinate positioning is provided for subsequent repair, and timeliness is guaranteed; and an optimal pressure supplementing path is planned through an algorithm, so that the road roller is prevented from repeatedly rolling a qualified area, and invalid oil consumption and equipment loss are reduced.

The utility model relates to the technical field of mining equipment, and provides an excavator working device with a fine-adjustable bucket, which comprises a rack, a bucket and a driving assembly unit, the driving assembly unit comprises a lifting mechanism, a bucket adjusting mechanism and a control unit; the lifting mechanism is used for loading and unloading materials through the bucket, and the bucket adjusting mechanism is used for achieving transverse swing of the bucket. The control unit is used for controlling the actions of the lifting mechanism and the bucket adjusting mechanism; the lifting mechanism is arranged on the rack; the bucket adjusting mechanism is arranged on the lifting mechanism, and the bucket is arranged on the bucket adjusting mechanism. According to the utility model, the decoupling with the movement of the vehicle body is realized when materials are loaded, the loading and unloading tasks of the materials can be still completed under the condition that the position of the vehicle body is kept unchanged, the materials are more flexibly shoveled, and the oil consumption is reduced; when meeting uneven road conditions, the bucket can be controlled to be finely adjusted to change the gravity center, and stable driving is achieved; energy consumption is saved, accurate dynamic weighing is achieved, and control precision is improved.

The invention discloses a sun shade of a vehicle and the vehicle. The sun shade of the vehicle comprises a sun-shading part and a sun-shading cover, the flow guide part is connected to the upper end of the sunshade part and bent backwards relative to the sunshade part, the flow guide part comprises a first flow guide part body and a second flow guide part body, the first flow guide part body is connected with the sunshade part and inclines upwards towards the rear side, and the second flow guide part body is connected with the first flow guide part body and horizontally extends towards the rear side. Therefore, the flow guide part is connected to the upper end of the sunshade part and is bent backwards relative to the sunshade part, and the flow guide part comprises the first flow guide part and the second flow guide part, so that the structure of the sunshade cover can be optimized, the sunshade cover can guide incoming air in front of the sunshade cover, airflow separation at the front end of a car roof is avoided, and the service life of the sunshade cover is prolonged. And the wind resistance coefficient and the air resistance are effectively reduced, so that the oil consumption can be effectively reduced, or the endurance mileage can be increased, the vehicle development cost can be saved, and the development time can be shortened.

The invention discloses a ship navigation oil consumption estimation method based on artificial intelligence, and particularly relates to the field of navigation oil consumption estimation, and the method comprises the steps: obtaining a ship navigation state, carrying out manual operation, carrying out the external environment data, carrying out the preprocessing, carrying out the dimension reduction through a feature screening network, generating navigation features, carrying out the distillation training of a lightweight model, and monitoring the actual oil consumption and an estimation error. And circularly updating. According to the ship navigation oil consumption estimation method based on artificial intelligence, through a feature screening network, the data dimension of an input model is reduced, the edge model calculation amount is reduced, the reasoning real-time performance is improved, and the system resource utilization rate and stability are guaranteed; knowledge of the first neural network model is migrated to the lightweight second neural network model, so that the fuel consumption pre-estimation reasoning process responds more quickly, and the real-time requirement is met; by collecting a new data dynamic optimization model, implementing a rollback mechanism and distinguishing short-term fluctuation and long-term degradation, it is guaranteed that the method continuously adapts to ship navigation state changes, and high estimation precision is maintained.

The invention provides an engine control method and device, a computer readable storage medium and a vehicle. The method comprises the steps that under the condition that an engine is in an idling working condition, the opening degree of an exhaust gas recirculation valve of the engine and the opening degree of a throttle valve of the engine are adjusted to the corresponding preset opening degrees correspondingly; the idling working condition is the working condition of non-load operation of the engine; after the opening degree of the exhaust gas recirculation valve and the opening degree of the throttle valve are adjusted to the corresponding preset opening degrees correspondingly, the pressure of an intake manifold of the engine is obtained; under the condition that the pressure of the intake manifold is smaller than or equal to the pressure threshold value, the opening degree of the exhaust gas recirculation valve and the opening degree of the throttle valve are increased, so that the pressure of the intake manifold is larger than the pressure threshold value, and the problem that in the prior art, the engine oil consumption generated by pumping engine oil is high due to the fact that the pressure of the intake manifold is low under the engine idling working condition is solved.

The invention provides an ECVT variable speed power system which comprises an engine, a generator, a power battery pack, a motor and a drive axle assembly, the generator is electrically connected with the power battery pack, and the power battery pack is electrically connected with the motor; a first shaft is arranged at the output end of the engine, the first shaft is in transmission connection with an input shaft of the generator, and an intervention clutch is arranged on the first shaft. A second shaft is arranged at the output end of the motor, a planet wheel mechanism is arranged on the second shaft, a sun wheel of the planet wheel mechanism is in transmission connection with the second shaft, a gear ring is in transmission connection with the driven end of the intervention clutch, and a planet carrier is in transmission connection with an input shaft of the drive axle assembly. According to the invention, the planet wheel mechanism is driven by the motor, so that stepless speed change is realized; meanwhile, switching of multiple modes of a pure electric mode, a series mode and a hybrid mode can be supported, it is guaranteed that the engine operates in an economic interval, the energy efficiency is improved, oil consumption is reduced, and the use cost is low.

The invention belongs to the field of turbine engines, and provides a thermodynamic cycle parameter obtaining method and system for a low-cost configuration turbine engine, and the method comprises the steps: determining an engine configuration through a cost design target of the turbine engine; according to the engine configuration, a thermodynamic cycle parameter feasible region is obtained with overall performance indexes and a fan inlet size threshold value as constraints, and the overall performance indexes comprise a thrust index and an oil consumption rate index; thermodynamic cycle parameters are determined in the feasible region of the thermodynamic cycle parameters through turbine engine performance requirements and turbine engine air inlet distortion resistance. According to the method, the thermodynamic cycle parameters can be rapidly obtained without repeated iteration, and the design period is greatly shortened.

The invention discloses a ship navigational speed optimization and carbon intensity grade evaluation system which can meet the requirements of the latest laws and regulations, strengthen ship operation cost control and further save ship navigational oil consumption estimation and carbon dioxide emission. According to the technical scheme, the system is characterized by consisting of the following modules: a route planning module (1), a meteorological data module (2), an oil consumption estimation module (3), a solving module (4) and a result output module (5), wherein the route planning module (1) has the functions of outputting an optimal navigation route, equally dividing the optimal navigation route to generate i subdivided route segments, and calculating the distance of each subdivided route segment; the meteorological data module (2) has the functions of inputting latitude and longitude and UTC time and outputting sea condition information of latitude and longitude positions at the UTC time; the fuel consumption estimation module (3) is used for outputting the main engine rotating speed and the main engine fuel consumption of the ship; the solving module (4) is used for calculating the total oil consumption and the CII grade of the ship main engine of the voyage and the main engine rotating speed and the voyage speed of the subdivided voyage segments; and the result output module (5) displays the result. The invention further discloses an evaluation method.

The utility model relates to a control system of a range-extending type wheel type electric tractor, a range extender comprises an engine and a generator which are arranged on the front side of a frame, a driving motor is arranged on the middle rear part of the frame and is connected with an automatic gearbox, and a handrail operation box is arranged in a cab and is connected with the automatic gearbox. The dual-motor controller is used for controlling operation and protection of the engine and the driving motor; the range extender controller communicates with the dual-motor controller and the engine controller through a CAN bus, the range extender controller obtains the target power of the driving motor, calculation is carried out according to the current generating capacity of the generator, the target mechanical power used for operation of the engine is obtained, and the output power of the engine is controlled through the engine controller; and the whole vehicle controller is respectively communicated with the range extender controller, the battery management system, the gearbox controller and the armrest operation box through a CAN (Controller Area Network) bus. The utility model has the advantages of compact and reasonable structure, reduced oil consumption, reduced energy loss, improved energy utilization rate and prolonged service life of the battery.

The invention discloses a map-based predictive cruise oil-saving control method, which comprises the following steps of: firstly, acquiring slope information of a front road based on an offline map, dividing road condition types according to the slope information, and then dividing the whole course into a plurality of road sections at fixed intervals; secondly, for each road section, calculating vehicle driving energy including driving force, kinetic energy change and resistance consumption; thirdly, a comprehensive cost function with the lowest oil consumption and the stable vehicle speed as targets is constructed, and the optimal target vehicle speed of each road section is solved with the principle of total cost minimization; and finally, the power consumption of each section is calculated based on the optimal vehicle speed, the energy distribution of an engine and a motor is prospectively and cooperatively planned, and the state of charge (SOC) of a battery is dynamically adjusted to be maintained in a high-efficiency interval (such as 0.2-0.95), so that the optimization of the global energy consumption is realized. The fuel consumption of the vehicle can be remarkably reduced, the endurance mileage is increased, and important economical efficiency and environmental protection value are achieved.

The invention relates to the technical field of aircraft scheduling management, in particular to an aircraft push-out and taxiing collaborative decision-making method, which constructs a cosine curve push-out rate control module, a push-out and taxiing collaborative decision-making model construction module and an adaptive algorithm design module. Searching an optimal queuing threshold value on multiple runways; secondly, multiple actual operation constraint conditions are emphatically considered, and a collaborative decision-making model with the dual optimization objectives of minimizing the total push-out time deviation duration and the total take-off time deviation duration of the aircraft and minimizing the total departure penalty cost and the oil consumption cost is constructed; and then fusing a Markov chain algorithm of continuous time, a genetic simulated annealing algorithm and a Q-learning reinforcement learning algorithm, scientifically arranging a departure aircraft scheduling sequence, deducing time, a sliding path and target runway distribution through an algorithm solving model, and finally improving the operation efficiency of the multi-runway airport in a mixed operation mode.

The invention discloses an engine oil consumption calculation and early warning method for a vehicle engine. The engine oil consumption calculation and early warning method comprises the following steps that S1, engine operation parameters are obtained, wherein engine rotating speed and fuel consumption parameters in engine operation data are obtained; s2, extracting engine oil consumption by interpolation: extracting the engine oil consumption under a corresponding working condition from a pre-constructed engine oil consumption model through an interpolation method according to the engine rotating speed and the fuel consumption; s3, accumulative calculation and unit conversion, wherein accumulative calculation and unit conversion are conducted on the multiple sets of engine oil consumption, and accumulative engine oil consumption is obtained; and S4, comparison and alarm triggering: triggering a corresponding alarm prompt according to a comparison result of the accumulated engine oil consumption and a preset engine oil consumption limit value. By means of the method, real-time and accurate calculation of the engine oil consumption under the full working condition of the engine is achieved, the hysteresis quality and estimation errors of manual inspection are broken through, and engine oil consumption data are upgraded to a real-time continuous value from a regular discrete value.

The invention discloses an optimization method of an aero-engine warm-up process, which comprises the following steps of: firstly, acquiring corresponding samples of a high-pressure turbine blade tip clearance delta 1, a high-pressure compressor blade tip clearance delta 2, a minimum thrust Fm in a take-off process, a total oil consumption TFC in the whole process, warm-up time delta t and a warm-up rotating speed NH in the engine process; then, on the basis of the samples, a prediction model for delta 1, delta 2, Fm and TFC by delta t and NH is established through an artificial neural network; and finally, by taking the minimum values of delta 1, delta 2 and Fm required by actual use as constraints, selecting a combination of the lowest required machine warming time and machine warming rotating speed by utilizing an epsilon-constraint method, and if the combination is not unique, selecting a combination corresponding to the minimum TFC from a result to finish optimization of the machine warming process. According to the method, the artificial neural network is used for establishing the relation of the related variables along with the engine warming time and the engine warming rotating speed, the epsilon-constraint method is used for selecting the minimum required engine warming time under multiple constraints, and the engine warming process is scientifically optimized.

The invention provides a bearing cavity oil-gas separation combined structure which comprises a high-low pressure shaft, a rotary oil slinger, a rotary separator and a stator defoamer, and a rotary oil slinger and the rotary separator are arranged outside the low-pressure shaft and the high-pressure shaft respectively and rotate at different rotating speeds; the stator defoamer is arranged on the radial outer side of the rotary oil throwing cup and the rotary separator and completely wraps the rotary oil throwing cup and the rotary separator. By means of the structure, separation of lubricating oil and air is achieved, the recycling efficiency of the lubricating oil and the purification degree of sealing gas are improved, and the device has important significance on reducing the lubricating oil consumption of an aero-engine and improving reliability.

The invention relates to an extended-range mining dump truck energy optimization system and method based on deep learning. The system comprises a load prediction module which is used for inputting driving route environment data, equipment state data and transportation working condition data of the mining dump truck into a load demand prediction model based on deep learning to obtain a load demand prediction result; the oil consumption prediction module is used for inputting the load demand prediction result, the historical APU parameters, the energy interaction data and the historical temperature data into an oil consumption prediction model to obtain an oil consumption prediction result; and the energy management module is used for constructing a multi-objective optimization model based on the load demand prediction result and the oil consumption prediction result, and solving through a particle swarm optimization algorithm to obtain an optimal energy distribution strategy. According to the system, load demand prediction and oil consumption prediction are combined, energy distribution is achieved through deep learning and a multi-objective optimization algorithm, oil consumption can be remarkably reduced, the energy utilization efficiency is improved, and energy supply and demand balance under the dynamic working condition is achieved.