93 results about "Fuel type" patented technology

The invention discloses a marine fuel leakage assessment method, device and equipment, a medium and a product. The method comprises the following steps: acquiring leakage scene information related to marine fuel leakage, wherein the leakage scene information at least comprises personnel position information, ship environment information, leakage state information and fuel type information; based on the leakage scene information, determining first distribution data of leakage concentration and leakage related positions by calling a preset simulation model realized based on computational fluid dynamics or calling a historical leakage simulation result in a database, and second distribution data of leakage concentration and leakage time at a position indicated by the personnel position information; and according to the first distribution data and the second distribution data, visually displaying a leakage concentration contour map marked with the personnel position information, a leakage concentration time change map and personnel escape suggestion information. According to the scheme, the actual threat degree of leakage to personnel on the ship can be reflected, and suggestions for dealing with leakage are provided.

The utility model provides an active pre-combustion chamber supply system, an engine assembly and a vehicle, and relates to the technical field of vehicle parts. The active pre-combustion chamber supply system comprises a plurality of storage units used for storing different fuels, each storage unit communicates with a fuel inlet of an active pre-combustion chamber, and connection and disconnection of a communicating pipeline between each storage unit and the fuel inlet are controlled through a valve. A plurality of storage units are arranged in an active pre-combustion chamber supply system, each storage unit is communicated with a fuel inlet of an active pre-combustion chamber, and meanwhile, a valve is used for performing on-off control on a communicating pipeline, so that a set of flexible supply system capable of switching fuel types is successfully constructed.

Systems and methods are provided for gas fired systems, such as boilers, hydronic systems, and other fuel powered heating systems which are capable detecting a fuel type being consumed by the system and adjusting operation of the system based on the fuel type detected. The gas fired or other heating systems may have a controller capable of a running a machine learning model trained to detect a fuel type based on operational data corresponding to the gas fired or other heating system. Once the type of fuel is determined, operation of the gas fired or other heating system may be adjusted according to the fuel type detected. For example, the system may be powered down, a gas valve may be adjusted to adjust fuel injected into the heat exchanger, or a fan (e.g., blower) speed (e.g., revolutions per minute) may be adjusted.

The invention discloses a hybrid power parameter determination method and device and electronic equipment, and relates to the field of vehicle design, and the method comprises the steps: determining the engine displacement of which the average operation power of an engine is consistent with a target fuel consumption area according to the average operation power, the torque standard deviation, the maximum torque fluctuation value and the fuel type in a vehicle road spectrum; according to the method, the determined engine can work in the interval with higher efficiency, the fuel economy is improved while the conventional power requirement is met, and the engine cost is reduced. The rated power of the motor is further determined according to the maximum operation power in the vehicle road spectrum and the target engine external power, and the target engine external power is the external power corresponding to the target vehicle speed or the target rotating speed under the maximum operation power. And determining the battery capacity according to the rated power of the motor, the climbing duration in the vehicle road spectrum and the battery adjustment coefficient. And on the basis of the engine, motor driving is matched to increase the endurance mileage, and the economy of the whole vehicle is improved.

The invention particularly relates to a control method applying an unmanned aerial vehicle and based on multi-modal characteristics of a fire source, and relates to the technical field of fire safety. Acquiring multi-modal data of a fire source in real time; comprehensively estimating the heat power of the fire source; correcting combustion intensity; and quantitative calculation of fire extinguishing agent demand. An infrared imaging sensor, a visible light camera and a gas sensor array are integrated, a multi-mode fire source sensing system is constructed, the sensing limitation that a traditional fire extinguishing system only depends on single temperature or image is broken through, fire source temperature distribution, flame forms and combustion gas concentration changes can be comprehensively captured, and complete data support is provided for fire behavior judgment; the thermal power of a fire source is estimated in a fusion manner, a fuel type is combined to calibrate a correction coefficient, a differential quantitative calculation model is established according to liquid and solid fire extinguishing agents, fire disasters of different fuels such as wood, gasoline and plastic are adapted, and economy and fire extinguishing reliability are both considered.

The invention relates to the technical field of gas turbine power plant generating capacity prediction, and particularly discloses a gas turbine power plant time sequence prediction method and system based on deep learning. The method aims at the technical problem that the generating capacity prediction of the gas turbine is not accurate due to fuel characteristic mutation in the fuel type switching process, and comprises the following steps: receiving a fuel switching command signal and operation time sequence data in real time, and fusing the fuel switching command signal and the operation time sequence data with fuel chemical characteristic parameters to generate an input tensor; using an attention mechanism enhanced Transform deep learning model to quantify a fuel switching influence factor; dynamically calculating a combustion stability index by combining a temperature and pressure sequence; and generating a generating capacity dynamic correction value based on the index, and fusing the generating capacity dynamic correction value with a basic prediction value to output a final prediction result. The system comprises a data acquisition module, a data fusion module, a data processing module and a generating capacity prediction module. The method can effectively improve the accuracy and real-time performance of generating capacity prediction in a fuel switching scene, and is suitable for operation optimization and scheduling management of a gas turbine power plant.

The invention relates to the technical field of boiler combustion control, in particular to a boiler intelligent combustion precise air distribution online monitoring system which comprises a combustion state sensing module, a combustion state sensing module, an execution adjusting module, an online monitoring feedback module and a data storage and visualization module. According to the boiler intelligent combustion precise air distribution online monitoring system, through fusion of multi-dimensional combustion state perception and a deep learning algorithm, intelligent self-adaptive optimization of an air distribution scheme is achieved, a traditional manual experience adjustment and single parameter control mode is abandoned, and the intelligent combustion precise air distribution online monitoring system is high in practicability. Key information in the combustion process is comprehensively captured by multiple types of sensors such as infrared thermal imaging and flue gas analysis, air volume, air speed and air temperature adjusting instructions of primary air, secondary air and tertiary air are accurately output through data preprocessing and fusion model operation, and complex working conditions such as fuel type change and load fluctuation can be dynamically adapted; real-time decision making and regulation can be completed without manual intervention, and the intelligent level of boiler combustion control is improved.

The invention discloses a multi-fuel generator set control system, a control method thereof and a generator set, which are applied to the technical field of generator sets, the multi-fuel generator set control system comprises a multi-fuel generator set and a control system, the control system comprises a fuel change-over switch, an engine starting switch, a carburetor, a fuel gas supply electric control valve, a signal detection module, an ignition device and a control device; a gas fuel supply pipeline of the multi-fuel engine is connected with a gas inlet of the gas supply electric control valve, and a gas outlet of the gas supply electric control valve is connected with a gas fuel inlet of the carburetor. And the signal input end of the fuel type detection circuit is connected with the fuel change-over switch. The temperature sensor is used for detecting a cylinder body temperature signal of the fuel engine and compensating the injection amount of the gas fuel according to the cylinder body temperature signal of the engine. The temperature sensor is used for monitoring the temperature of the cylinder body of the engine in real time, the injection amount of the gas fuel is compensated according to the temperature of the cylinder body of the engine, and the combustion condition in the engine heating process of the engine is stabilized.

The invention relates to the technical field of industrial process automatic control, and discloses a decomposing furnace temperature discrete variable integrated control method based on a BP-ARX model. Comprising the following steps: collecting current of a shredder, outlet temperature of a decomposing furnace, coal feeding quantity of the decomposing furnace, alternative fuel feeding quantity, raw material feeding quantity, oxygen content at the tail of the kiln, start-stop state, alarm state, control enable signal and fuel type code; performing abnormal value elimination, missing measurement value complementation, 60 s window filtering and 600 s window filtering on the current of the shredder; generating a basic coal feeding amount compensation value based on dual-threshold triggering and dual-stage integration; constructing a BP-ARX model with combined input of discrete variables and continuous variables to output a model correction compensation value, superposing the model correction compensation value with basic compensation, forming a final coal feeding amount compensation value through upper and lower limits and difference amplitude limiting, and issuing the final coal feeding amount compensation value; and switching model parameter groups according to fuel type codes, and executing online updating, backup control and output recovery according to the temperature deviation. The method is used for improving the temperature control stability and co-combustion working condition adaptability of the decomposing furnace.

The invention relates to the field of aluminum melting furnace energy-saving control, and discloses an energy-saving control method and system for a heat accumulating type aluminum melting furnace, and the method comprises the steps: carrying out the clustering of a plurality of historical operation data, obtaining a plurality of typical operation conditions of the heat accumulating type aluminum melting furnace, and each typical operation condition comprises a plurality of historical operation data; determining an air preheating correction coefficient according to a plurality of historical operation data of the typical operation condition; acquiring current operation data of the heat accumulating type aluminum melting furnace; determining a target typical operation condition to which the current operation data belongs, and obtaining a target air preheating correction coefficient corresponding to the target typical operation condition; the current air preheating temperature, the fuel type and the fuel flow are obtained; determining a target air-fuel ratio according to the fuel type; according to the fuel flow and the target air-fuel ratio, the basic air flow is determined; and the product of the basic air flow and the target air preheating correction coefficient is determined to serve as the corrected air flow. According to the invention, the production requirements of high efficiency and energy conservation under different working conditions can be met.

Systems, methods, and techniques disclosed and contemplated herein relate to processing high level radioactive waste (HLW). Exemplary techniques are applicable to various fuel types, such as metal / chloride salt HLW streams from pyroprocessing of sodium bonded metallic fast reactor fuel; metal and halide salt HLW from molten salt reactors; and SiC / pyrolytic carbon from mechanically breached TRISO (tri -structural isotropic particle fuel) kernels with oxide fission products (FPs) from reprocessing. Exemplary waste forms are cermets.

The invention discloses a self-adaptive control method for a low-carbon multi-fuel internal combustion engine based on fuel activity online identification, which comprises the following steps of: acquiring a pressure signal in a cylinder and a crank angle signal, calculating an instantaneous apparent heat release rate, and extracting waveform topological characteristics of the heat release rate; inputting the extracted heat release rate waveform topological features into the trained fuel activity mapping model to obtain an equivalent reaction activity index of the current mixed fuel; based on the equivalent reaction activity index, dynamically interpolating in a map database or switching to a corresponding reference control strategy, determining a basic value of a control parameter under the current working condition, and performing closed-loop increment correction on the control parameter based on the deviation between the current combustion parameter and a target parameter to obtain a correction value, and performing one-cycle control by taking the sum of the basic value and the correction value as a final value of the control parameter. The invention further discloses a corresponding control system. The combustion stability of the internal combustion engine under the multi-fuel variable working condition can be ensured without knowing the specific fuel type.

An aircraft propulsion system includes a compressor section, a combustor section, and a fuel system assembly. The compressor section includes a plurality of inlet guide vanes, an inlet guide vane actuator (IGVA), and an IGVA servo. The IGVA is operably coupled with the plurality of inlet guide vanes. The IGVA servo is connected in fluid communication with the IGVA. The combustor section includes a combustor. The fuel system assembly includes a jet fuel system and a hydrogen fuel system. The jet fuel system is connected in fluid communication with the combustor. The hydrogen fuel system is connected in fluid communication with the combustor and the IGVA servo. The hydrogen fuel system is configured to direct the hydrogen fuel to the IGVA servo to control a position of the IGVA.

Embodiments of this disclosure relate to systems and methods for tracking carbon effects of a plurality of fuel transactions. A method may receive a first selected motor fuel type. A method may record a first consumption block including a first carbon intensity of the first selected motor fuel type. A method may receive a second selected motor fuel type. A method may record a second consumption block including a second carbon intensity of the second selected motor fuel type. A method may determine an overall carbon intensity of the first consumption block and the second consumption block.

The invention provides a vehicle control method, a vehicle control device, a vehicle and a storage medium, and the method comprises the following steps: if an unlocking instruction of an oil filler cap in the vehicle is detected, obtaining an oil filling parameter of the vehicle; wherein the refueling parameters comprise the fuel oil type and the refueling amount of the vehicle; refueling parameters are output through the refueling port cover; detecting whether the vehicle finishes refueling; if it is detected that refueling of the vehicle is finished, the payment code is displayed through the refueling port cover to complete payment. According to the method, the convenience in the vehicle refueling process can be improved, so that the user experience is improved.

Systems, methods, and techniques disclosed and contemplated herein relate to processing high level radioactive waste (HLW). Exemplary techniques are applicable to various fuel types, such as metal / chloride salt HLW streams from pyroprocessing of sodium bonded metallic fast reactor fuel; metal and halide salt HLW from molten salt reactors; and SiC / pyrolytic carbon from mechanically breached TRISO (tri -structural isotropic particle fuel) kernels with oxide fission products (FPs) from reprocessing. Exemplary waste forms are cermets.

The invention provides an anti-corrosion system for tail equipment of a thermal power peak regulation unit, which relates to the technical field of thermal power generation and comprises a fuel and denitration control module, an equipment body anti-corrosion strengthening module, an operation parameter dynamic adjustment module, a smoke temperature dynamic regulation and control module and cooperative control logic for realizing cooperative operation of the modules through a DCS (Distributed Control System). The modular design concept and the whole-process prevention and control logic of the system are not strictly limited by unit capacity and fuel types, the system is not only suitable for various coal-fired thermal power peak regulation units, but also can be popularized to the peak regulation units with similar low-temperature corrosion and blockage problems such as biomass coupling power generation, and the system is wide in application scene and has important industry popularization value.

The application relates to the field of energy-saving control of aluminum melting furnaces, and discloses an energy-saving control method and system for a regenerative aluminum melting furnace, which comprises the following steps: clustering a plurality of historical operation data to obtain a plurality of typical operation conditions of the regenerative aluminum melting furnace, each typical operation condition comprising a plurality of historical operation data; determining an air preheating correction coefficient according to the plurality of historical operation data of the typical operation condition; obtaining current operation data of the regenerative aluminum melting furnace; determining a target typical operation condition to which the current operation data belongs, obtaining a target air preheating correction coefficient corresponding to the target typical operation condition; obtaining a current air preheating temperature, a fuel type and a fuel flow; determining a target air-fuel ratio according to the fuel type; determining a basic air flow according to the fuel flow and the target air-fuel ratio; and determining the product of the basic air flow and the target air preheating correction coefficient as a corrected air flow. The application can meet the production demand of high efficiency and energy saving under different conditions.

The invention discloses a range extender control method and device, a control system and a vehicle. The operation mode and the battery capacity of a range extender are obtained; determining a power generation grade according to the operation mode and the battery electric quantity; determining power generation power according to the fuel type, the power generation level and the vehicle speed, and controlling a range extender to generate power according to the power generation power; the generated power is in positive correlation with the power generation level. According to the method, the power generation level is determined through the operation mode and the battery electric quantity, charging and discharging management of the battery is more reasonable, the power generation power is determined through the fuel type, the power generation level and the vehicle speed, it is guaranteed that the power generation power is matched with the current working condition, and the problem that efficiency is low when a dual-fuel range extending system only adopts single rotating speed control is solved; when the vehicle is in different working conditions, different power generation powers can be determined, it is guaranteed that the vehicle has enough power under the different working conditions, and meanwhile the energy utilization rate is increased.

The invention relates to the technical field of diesel motor vehicles, in particular to an anti-locked-rotor double-fuel-tank switching control method and system. Comprising the following steps that S1, the liquid level ZL of a main oil tank, the liquid level FL of an auxiliary oil tank, the temperature ZT of the main oil tank, the temperature FT of the auxiliary oil tank, the environment temperature Tenv, the main feeding position ZJ of an oil feeding motor, the auxiliary feeding position FJ of the oil feeding motor, the main returning position ZH of an oil returning motor, the auxiliary returning position FH of the oil returning motor, the current value JI of the oil feeding motor, the current value HI of the oil returning motor and a switching request signal of a switching valve are collected; according to the control method provided by the invention, the driver is responsible for inputting the switching intention, the system is responsible for evaluating the switching action, and the switching action is executed after the switching condition is met, so that the driver can actively select the fuel tank according to factors such as a transportation plan and a fuel oil type, and the system guarantees the switching safety through condition judgment; and engine flameout caused by forced switching when fuel oil is insufficient or low-temperature solidification is avoided.

Systems, apparatuses, methods, and computer program products are disclosed for autonomously deriving consumption of fuel. An example method includes receiving a transaction request and determining a fuel pump location associated with a fuel pump identifier. The example method further includes determining a current price of a fuel type at the fuel pump terminal based on the fuel pump location and deriving a total fuel redemption volume based on the current price of the fuel type. The example method further includes updating a fuel availability data structure associated with a user account.

The invention provides a system for blending combustion of biomass briquette fuel in a thermal power plant and a control method, the system comprises independent transportation, sampling, storage and conveying modules of biomass and coal, fuel types are automatically distinguished through an identification device above a coal conveying belt, and the fuel types are respectively conveyed to a biomass sub-bin or a raw coal sub-bin. The coal mill switches fuel sources according to unit loads, biomass is combusted in the low load, coal is switched in the high load, the air temperature and the air-coal ratio are adjusted through a primary air valve, and the combustion efficiency is optimized. The control method comprises fuel identification, metering bin separation, load self-adaptive switching and air temperature cooperative adjustment, it is ensured that the mass of biomass entering the furnace is accurately metered, and meanwhile the investment cost is reduced through existing equipment of a power plant. The system solves the problems of inaccurate metering and inflexible switching in biomass blending combustion, has economical efficiency and environmental protection benefits, and is suitable for peak regulation and low-carbon transformation of a thermal power plant.

An aircraft propulsion system includes a combustor, an engine oil system, and a fuel system assembly. The engine oil system includes a fuel-oil heat exchanger. The fuel system assembly includes a jet fuel system, a hydrogen fuel system, and a switching valve. The jet fuel system and the hydrogen fuel system are connected in fluid communication with the combustor. The jet fuel system is selectively connected in fluid communication with the fuel-oil heat exchanger by the switching valve. The hydrogen fuel system is selectively connected in fluid communication with the fuel-oil heat exchanger by the switching valve. The switching valve is configurable between a first circuit flow path and a second circuit flow path. The switching valve configured in the first circuit flow path directs the jet fuel through the fuel-oil heat exchanger. The switching valve configured in the second circuit flow path directs the gaseous hydrogen fuel through the fuel-oil heat exchanger.

This article relates to the field of fuel cells and provides a method and device for determining the optimized operating conditions of a fuel cell. The method includes: matching a target fuel cell response model according to the fuel type and size of the fuel cell to be analyzed; determining multiple groups of input parameter values ​​for the fuel cell to be analyzed; inputting each group of input parameter values ​​into the target fuel cell response model to obtain the response parameter value of the fuel cell to be analyzed under each input parameter value; determining the optimized operating conditions of the fuel cell to be analyzed based on the response parameter value of the fuel cell to be analyzed under each group of input parameter values; the fuel cell response model is determined by training parameters in a PINN model, and the PINN model includes: a local battery model, an ideal battery model, a dimensionless processing module, a neural network model, and a dimension recovery module. This article is applicable to fuel cells of various fuel types and sizes, realizes the universality of the model architecture, and can also improve the prediction speed and accuracy of the fuel cell response parameters.

The invention relates to the technical field of biomass energy utilization data analysis, in particular to an intelligent evaluation method for agricultural waste recycling. Fuel is marked according to the comparison condition of the contour of prepared biomass solidified and formed fuel and preset contour data; preliminarily evaluating whether the prepared biomass cured briquette fuel is qualified or not according to the marked quantity of various fuels, and when the deviation between the contour data of the biomass cured briquette fuel and the preset contour data is large, considering that dust is easy to generate in the preparation process; whether the prepared biomass solidified and formed fuel is qualified or not is evaluated according to the concentration of dust generated in the drying treatment process, the control precision of the prepared biomass solidified and formed fuel is improved, reasons for unqualified preparation are analyzed, parameters in the next batch of fuel preparation process are adjusted, and the quality of the biomass solidified and formed fuel is improved. Therefore, the control precision for the quality of the next batch of fuel is improved, the dust generation amount is reduced, and the safety of the preparation process is improved.

The invention provides a flexible resource planning method, device and equipment and a storage medium, and the method comprises the steps: obtaining the unit grade, fuel type and operation state parameter of a thermal power unit from a power system, and calculating dynamic carbon emission data to quantify the real-time carbon emission; and acquiring data of an energy storage device and the like, calculating short-time flexibility probability distribution, and determining a system flexibility supply risk level. And finally, through iterative feedback of a bilevel programming model, inputting dynamic carbon emission data into a lower-layer operation simulation module, adjusting a flexibility threshold value, generating system flexibility supply probability distribution, and outputting a system operation point by the lower layer and feeding the system operation point back to the upper layer to correct a flexibility constraint. According to the method, collaborative optimization of multi-type flexible resources is realized, short-time and long-time supply and demand are effectively balanced, and the stability, economy and low-carbon operation capability of a power system are improved.

To provide a combustion state detection device for an internal combustion engine which can detect a misfire regardless of the type of fuel. The combustion state detection device for the internal combustion engine includes: a discharge feature amount acquisition unit; and a determination unit. The discharge feature amount acquisition unit acquires the discharge feature amount based on a voltage value or a current value of an ignition coil connected to a spark plug. The spark plug executes an ignition spark discharge for igniting an air-fuel mixture and a detection spark discharge in the same engine cycle after the ignition spark discharge. The determination unit determines whether the internal combustion engine is in a misfire state or a non-misfire state based on the comparison result between the discharge feature amount of the detection spark discharge and a predetermined determination threshold value.

The invention discloses an air inlet heating system for low-temperature starting of an engine and a control method thereof and belongs to the technical field of internal combustion engines. The heater comprises an intake manifold, a pressure stabilizing cavity is formed in the intake manifold, the whole heater is installed between an inlet flange and a throttle valve of the intake manifold through a flange connecting face, a heating rod of the heater penetrates through the flange connecting face and extends into the pressure stabilizing cavity, and the joint of the heating rod and the inner wall of the flange connecting face is fixed through a variable-diameter structure. An included angle of 4-6 degrees is formed between the central axis of the heating rod and the normal of the flange connecting face, a temperature and pressure integrated sensor is arranged on the intake manifold and used for monitoring the temperature and pressure in the pressure stabilizing cavity, and the temperature and pressure integrated sensor, the heater and the throttle valve are all electrically connected with an electronic control unit. The device is firm in structure and uniform in heating, fuel types can be intelligently recognized, rapid and accurate temperature control is achieved, and conditions can be actively optimized when starting is difficult.

The invention discloses a dynamic carbon emission prediction method considering a power generation side and a system thereof. The system monitors the operation data of the generator set in real time, and constructs and optimizes a carbon emission prediction model by using a machine learning technology, so as to improve the prediction accuracy and response speed. The method comprises the steps of data acquisition and preprocessing, model construction and training, establishment of a feedback and optimization mechanism and continuous monitoring of a prediction result. The system integrates a support vector machine or a random forest algorithm, differentiated carbon emission model training is carried out, and it is ensured that the system adapts to characteristics and fuel types of different generator sets. By setting a feedback mechanism and an automatic anomaly detection function, the system can dynamically adjust model parameters, optimize feature selection and realize accurate management of carbon emission. The invention provides an effective technical means, and the purposes of low-carbon operation and sustainable development are achieved while the power system is supported to meet the requirements.