39 results about "Fuel quality" patented technology

The invention discloses a method and a system for measuring an electrode constant of an oil conductivity valuing device, relates to the technical field of measurement, and breaks through the limitation of roughly taking an average value of an area of a polar plate traditionally by constructing an actual conductance cell model and defining parameter information, accurately deduces a conductance cell constant, and reversely calculates an effective relative area to determine the electrode constant. According to the method, the coaxial annular structure characteristics are attached, the influence of the edge effect and electric field line diffusion is avoided, and electrode constant calculation is more scientific and rigorous. Therefore, the accuracy of the constant value of the oil conductivity standard substance is guaranteed, a reliable reference is provided for verification and calibration of an oil conductivity meter, an effective oil conductivity measurement result is ensured, the electrostatic accident risk is reduced from the source, and the oil fuel quality and safety management and control are enhanced. The problems that an existing coaxial annular cylinder type electrode conductance cell is not strict in constant calculation and low in standard value credibility are effectively solved, and the electrode constant measurement accuracy of the oil conductivity valuing device is remarkably improved.

The invention relates to the technical field of fuel ratio regulation and control, in particular to a fuel self-adaptive ratio regulation and control method for a waste multi-fuel combustion boiler, which comprises the following steps of: obtaining combustion characteristic parameters of various fuels, calculating combustion performance values of the various fuels, grouping and dividing the fuels according to the combustion performance values, and regulating and controlling the fuel ratio of the waste multi-fuel combustion boiler. Calculating a difference value of two groups of fuel combustion performance mean values to obtain an initial performance difference value, determining a fuel proportioning parameter according to the initial performance difference value, monitoring and analyzing temperature data and waste gas emission amount data in a boiler operation process, calculating a temperature fluctuation value and a waste gas emission fluctuation value to obtain a combustion quality influence coefficient, and calculating a combustion quality influence coefficient according to the temperature fluctuation value and the waste gas emission fluctuation value; collecting a steam pressure oscillogram and feed water flow in equipment operation parameters, calculating a steam pressure fluctuation value and a feed water flow fluctuation value to obtain an equipment operation influence coefficient, performing weighted fusion on the combustion quality influence coefficient and the equipment operation influence coefficient to obtain a comprehensive influence value, and performing calibration analysis on an initial performance difference value according to the comprehensive influence value; therefore, the self-adaptive regulation and control of the fuel ratio parameters are realized.

The invention relates to the technical field of knock control, and discloses an intelligent control system and method for engine knock and preignition, and the method comprises the following steps: collecting engine knock signal data and preignition signal data, and carrying out the signal processing of the knock signal data and the preignition signal data, the method comprises the following steps: generating knock intensity data and preignition intensity data, and during engine knock and preignition identification, setting multi-stage identification thresholds including a basic threshold, a dynamic self-learning threshold and a temperature compensation threshold, and updating the thresholds in real time by utilizing a self-learning algorithm, so that the engine knock and preignition identification accuracy is improved. The method can effectively adapt to sensor signal characteristic change caused by engine wear, fuel quality difference and environment change, solves the problems of misjudgment and missed judgment caused by a fixed recognition threshold value, ensures the accuracy and reliability of knock and preignition recognition, reduces control errors, and improves the reliability of knock and preignition recognition. And the dynamic property, the economical efficiency and the driving smoothness of the engine are effectively improved.

This invention provides a boiler energy-saving operation method based on intelligent algorithms. Addressing the pain points of traditional boilers that rely on manual experience for adjustment and struggle to adapt to dynamic operating conditions, it constructs a collaborative mechanism encompassing data perception, intelligent prediction, multi-objective optimization, and closed-loop control. Boiler operating parameters are collected by multi-dimensional sensors, pre-processed, and input into an LSTM-GBDT hybrid model to achieve high-precision thermal efficiency prediction. The DDPG reinforcement learning algorithm is then used to solve for the globally optimal operating parameters under safety and process constraints. Finally, closed-loop dynamic adjustment is achieved through a DCS system. This method overcomes the limitations of manual experience, transforming from single-parameter control to full-process collaborative optimization. It can adapt to load fluctuations and fuel quality changes, effectively improving boiler thermal efficiency and reducing fuel consumption while ensuring safe operation, and simultaneously reducing manual maintenance intensity, demonstrating strong industrial application value.

The invention belongs to the technical field of blast furnace ironmaking, and particularly discloses a solid fuel replacement and hydrogen-rich injection method in a hydrogen-rich carbon cycle oxygen blast furnace mode. According to the method, the quantitative replacement relation between the decarburized gas injection amount and the coke consumption reduction amount is established, a composite injection plan of'gas first and powder second and cooperative climbing 'is implemented, and hydrogen-rich gas enhanced injection is planned, so that the solid fuel consumption and the carbon emission are systematically reduced. The method specifically comprises the following three steps: establishing a fuel replacement reference, implementing decarburized gas dominant replacement and pulverized coal collaborative replacement in stages, planning hydrogen-rich gas injection reinforcement, and controlling key injection parameters and crude fuel quality at the same time. According to the method, the coke ratio is reduced by more than or equal to 60kg / t, the solid fuel consumption is reduced by more than or equal to 15%, the CO2 emission is reduced by more than 2%, the operation path is clear and controllable, the furnace condition is stable and smooth, the technical extensibility is high, and the method is suitable for industrial application of a large blast furnace HyCROF mode.

The utility model relates to high pressure fuel test technical field, and disclose a kind of high pressure fuel test equipment, including workbench, support leg, the bottom of the workbench is fixedly installed with two groups of mutually parallel support leg, the bottom of the support leg is fixedly installed with rubber antiskid pad, the corner of the one side of workbench top is fixedly installed with fuel tank, the one side of the top of fuel tank is fixedly installed with fuel delivery structure, the side of fuel delivery structure is fixedly installed with connecting pipe, the other end is fixedly connected with fuel mass flowmeter, the other corner of the one side of fuel tank is provided with fuel backflow structure in the top of workbench, the top of fuel tank is provided with fuel extraction structure corresponding to fuel backflow side, the utility model can accurately simulate various dynamic conditions of high pressure fuel system in actual operation, such as fuel injection process under different pressure, temperature, flow conditions.

The application discloses a residual oil alkali metal treatment-catalytic cracking combined processing method, which comprises the following steps: (1) mixing residual oil raw materials and alkali metals into a reactor to perform reaction; (2) performing solid-liquid separation on the material after the reaction in step (1) to obtain a solid-phase product and generated oil; and (3) feeding the generated oil obtained in step (2) into a catalytic cracking device, and performing fractionation on the material after the reaction to obtain dry gas, liquefied gas, catalytic cracking gasoline, catalytic cracking light diesel oil, catalytic cracking heavy distillate oil and coke. The method can produce high-quality low-sulfur gasoline fraction, has a long running cycle, does not need high-temperature and high-pressure conditions and has low hydrogen consumption, thereby effectively improving fuel quality, reducing device running cost, realizing energy saving and consumption reduction.

A system for determining a characteristic of fuel supplied to an internal combustion (IC) engine and for adjusting operation of the IC engine based on the determined characteristic. The system includes: an air flow throttle configured to control air supplied to the IC engine; a fuel flow throttle valve configured to control fuel supplied to the IC engine; an engine exhaust oxygen sensor; and a controller configured to receive readings from the throttle valve and control operation of the throttle valve. The controller is configured to execute a fuel-air determination procedure, wherein the controller determines a percentage error air-fuel ratio (AF) based on a comparison of a real AF ratio to an ideal AF ratio. The controller is configured to execute a fuel characteristic determination and adjustment procedure, wherein the controller is configured to adjust operation of the IC engine based on a fuel characteristic value determined using a percentage error AF ratio.

The application discloses a kind of oil storage equipment. Including oil storage tank, oil guide assembly, oil tank and sampling device. Oil storage tank is equipped with oil storage cavity. Oil guide assembly includes first oil guide pipe, second oil guide pipe and third oil guide pipe. One end of first oil guide pipe is provided with first oil guide port. One end of second oil guide pipe is provided with second oil guide port. One end of third oil guide pipe is provided with third oil guide port. Along the depth direction of oil storage cavity, first oil guide port is arranged above second oil guide port, and third oil guide port is arranged between first oil guide port and second oil guide port. Oil guide pipe is fixedly arranged on oil storage tank and communicates with oil storage cavity. Sampling device is connected with oil guide assembly to guide oil out of oil guide assembly. The oil storage equipment can obtain fuel oil at different depths in the oil storage tank for sampling analysis according to the external environmental characteristics of the oil storage tank, which is beneficial to improve the reliability of long-term fuel quality of the oil storage tank.

The invention discloses an aviation fuel oil supervision method and system based on multi-information fusion, and belongs to the technical field of aviation fuel oil measurement and control, a plurality of fuel quantity sensors are arranged in a fuel oil tank, and the fuel oil volume and the fuel oil quality of the fuel oil tank are measured based on a plurality of detected oil immersion heights. Specifically, the method comprises the following steps: collecting detection data of an oil quantity sensor, and preprocessing the data; based on three-dimensional space conversion, the height coordinate of the intersection point of the center position of the fuel tank and the fuel surface is obtained, and then the height of the ith fuel quantity sensor at the center position of the fuel tank is obtained. And calculating the final value of the oil immersion height detected by the ith oil quantity sensor, filtering the data based on the confidence coefficient, and calculating the volume V and the mass M of the fuel oil based on the effective final value of the oil immersion height. According to the invention, more advanced and high-reliability fuel oil measurement data are obtained based on data processing of a plurality of fuel quantity sensors, and the practicability is better.

The invention relates to the technical field of fuel sampling, and discloses a fuel abnormal sampling point determination method and system, and the method comprises the steps: determining a plurality of fuel sampling points, obtaining a plurality of lower calorific value measurement values in a time period corresponding to the fuel sampling points, analyzing all the lower calorific value measurement values, and determining a plurality of sampling fluctuation characteristics of the fuel sampling points; according to the lower calorific value measured value and the sampling fluctuation characteristics, the abnormal performance degree of the fuel sampling point is calculated; according to the multiple sampling loss rates of the time interval, the sampling process loss fluctuation degree of the fuel sampling point is obtained; the fuel abnormal sampling metric value of the fuel sampling point is calculated based on the abnormal performance degree and the sampling process loss fluctuation degree, the fuel abnormal sampling point is determined, the fluctuation characteristic of the fuel low calorific value measurement data and the sampling process loss condition are comprehensively considered, multi-dimensional quantitative evaluation is achieved, the determination precision of the fuel abnormal sampling point is guaranteed, and the fuel abnormal sampling point is determined. The abnormity identification accuracy is improved, and a reliable basis is provided for fuel quality management.

The present application relates to the technical field of temperature control, and an embodiment thereof provides a method, device and equipment for reducing the number of general overtemperature times of the wall temperature of an intermediate superheater. The method for reducing the number of general overtemperature times of the wall temperature of the intermediate superheater comprises the following steps: determining factors affecting the wall temperature of the intermediate superheater, wherein the factors include the unit load change rate, fuel quality, boiler pressure, feed water flow and ash deposition condition; establishing a mapping relationship between each factor and the wall temperature of the intermediate superheater according to historical sample data, to obtain a plurality of mapping relationships; determining the factor having the greatest impact on the wall temperature of the intermediate superheater from the factors according to the plurality of mapping relationships; and determining the value of the factor having the greatest impact, to reduce the number of general overtemperature times of the wall temperature of the intermediate superheater. The embodiment provided by the present application can quickly determine the factors affecting the temperature of the intermediate superheater.

The invention provides an intelligent advantage-seeking ignition control method oriented to a complex fuel oil environment. The method comprises the steps that real-time operation parameters of an engine are obtained, and self-learning enabling conditions are judged; when the enabling condition is met, forward self-learning optimization is executed with the basic ignition angle or the conservative ignition angle under the EGR working condition as the starting point; monitoring a knock signal in real time in the optimizing process, and dynamically adjusting an ignition angle according to the knock intensity; independently learning areas, and updating the ignition angle compensation value of each area in real time; the ignition angle instruction is corrected through anti-oscillation and protection mechanisms such as partition delaying and signal filtering and is output to an actuator; meanwhile, the refueling working condition is recognized, and self-adaptive resetting of the self-learning value is achieved. Through closed-loop self-learning, detonation dynamic feedback, zoning fine control and EGR collaborative strategies, the method can adapt to fuel quality fluctuation and engine aging, and the dynamic property, fuel economy and emission compliance of the engine are remarkably improved, and particularly the method is suitable for scenes with large fuel quality fluctuation and complex working conditions.

An aircraft-based fuel quality monitoring and alerting system is disclosed herein. The aircraft-based fuel quality monitoring and alerting system can include a first sensor configured to output a signal associated with contamination of fuel entering an aircraft through a first fuel inlet. The system can further include a processor configured to determine a first contamination level of the fuel based on the signal and an alerting system configured to deliver an alert if the first contamination level is outside a predetermined range.

The utility model relates to an LPG (Liquefied Petroleum Gas) supply system, in particular to an integrated LPG supply system which comprises a vaporizer connected with a gas storage tank through a pipeline assembly I, the inlet end of the vaporizer is connected with a fuel stop valve, and the vaporizer and the fuel stop valve are both arranged on a fixed frame; a gas cavity and a heating cavity are arranged in the vaporizer, the inlet end and the outlet end of the gas cavity are respectively provided with a filter screen, and the gas cavity positioned at the front end of the filter screen is respectively provided with a coal tar discharge port; a gas outlet of the vaporizer is connected with the engine through a second pipeline assembly. The heating cavity is connected with a heating pipe used for providing heat, and the heating pipe is connected with a cooling water channel of an engine. The fuel pipe, the fuel cut-off valve and the vaporizer are fixed together through the fixing frame to form an assembly, the assembly can be conveniently installed on a whole machine, and the influence of an engine is reduced. A filter screen and a coal tar discharge port are arranged in the vaporizer, so that impurities and coal tar in the LPG can be effectively filtered and discharged, and the gas quality is improved.

The invention discloses a multidisciplinary optimization method for a hybrid power branch aircraft propulsion system, and the method comprises the steps: building an aircraft-level model, and calculating residual drive, so as to achieve the flight mechanical balance; under the condition that whether flight mechanics is balanced or not, atmospheric conditions at different altitudes in the flight stage, the mass of fuel oil consumed under each flight condition and the SOC of a battery are calculated through a hybrid power propulsion system model; under the condition that the aircraft meets the energy balance condition, determining that the maximum takeoff weight and the fuel consumption are both minimum as a target function according to a complete machine weight characteristic model, and constructing a power optimization problem of an electric propulsion assembly of the hybrid power branch aircraft propulsion system in combination with flight mechanics constraints, energy balance constraints and weight characteristic constraints; the power optimization problem is solved, the electric propulsion assembly configuration of the modified electric propulsion aircraft is obtained, and by establishing the effective multi-target optimization method, the balance requirement of fuel economy and flight performance can be met at the same time.

The utility model relates to gasoline detection technical field, concretely is a kind of gasoline oil sample detection device, including storage bottle, pivot, flexible hose, device lid and device main body, storage bottle outside fixed mounting has No. 3 threaded tube, device lid outside fixed mounting has No. 2 threaded tube, flexible hose outside fixed mounting has No. 1 threaded tube, No. 3 pivot outside fixed mounting has threaded fan blade, pivot outside fixed mounting has rotating counterweight, rotating counterweight outside is connected with gear assembly, the device design is by mechanical drive and can extract gasoline in the automobile fuel tank and carry out detection, so that it can ensure fuel quality, by the gasoline in the automobile fuel tank detection, can ensure that the quality of fuel meets relevant standards and requirements by the gasoline in the automobile fuel tank detection can prevent failure, avoid the engine failure caused thereby.

To properly detect hydrogen gas leaks. [Solution] The control device 100 of the fuel supply device 300 includes a processing circuit 110 that performs a process to determine whether or not there is a fuel leak in the fuel passage downstream of the second shut-off valve 22, which is provided in the fuel passage and opens and closes the fuel passage. When the mass of the fuel in the fuel passage downstream of the second shut-off valve 22 is defined as the hydrogen mass, the processing circuit 110 performs the following processes: calculate a first hydrogen mass based on the fuel pressure and fuel temperature when the second shut-off valve 22 is closed due to engine shutdown; calculate a second hydrogen mass based on the fuel pressure and fuel temperature immediately before the second shut-off valve 22 opens due to engine startup after engine shutdown; calculate the difference between the first hydrogen mass and the second hydrogen mass; and determine whether or not there is a fuel leak based on the difference.

The invention discloses a method for treating annular nodules at the upper part of a blast furnace body. The method comprises the following steps: optimizing crude fuel quality, dynamically adjusting blast furnace material distribution in stages, optimizing blast furnace blasting parameters and adjusting a cooling wall. According to the crude fuel quality optimization, the pulverization rate of coke and sinter on the upper portion of a furnace body is reduced, so that the air permeability of furnace charge is improved; according to the staged dynamic adjustment of blast furnace material distribution, edge airflow is developed and the upper pressure of annular nodules is increased through dynamic adjustment of material distribution; the blast parameters of the blast furnace are optimized by adjusting a tuyere to increase the wind speed; the cooling wall adjustment accelerates the exfoliation of nodules by reducing the temperature of the cooling wall. The method has the effect of inhibiting the nodulation of the comprehensive furnace charge with poor granularity composition, high pulverization rate and high aluminum content in the blast furnace smelting at present, and lays a technical foundation for the green low-carbon smelting of the blast furnace.

The application relates to the technical field of diesel clean agents, and discloses a multifunctional diesel clean power agent and a preparation method thereof, which comprises the following components: 15-40% of polyisobutylene succinimide, 10-20% of modified clean compounds, 5-12% of tetrahydrofuran, 3-10% of alkyl rare earth, 2-6% of N,N-di-sec-butyl phenylenediamine, and the rest of organic solvents. The clean power agent is prepared by mixing the clean agent polyisobutylene succinimide, the modified clean compounds, the smoke remover tetrahydrofuran, the alkyl rare earth, the antioxidant N,N-di-sec-butyl phenylenediamine and the organic solvents. The application range is wide, the diesel engine nozzle deposits can be effectively removed, the fuel supply system and the combustion system can be kept clean and lubricated, the air flow is increased, the smoke degree is reduced, the oil consumption is lowered, the antioxidation and corrosion resistance are simultaneously achieved, and the fuel quality is effectively ensured.

The invention relates to a method for controlling a secondary air mass flow in a secondary air supply of an internal combustion engine, wherein the internal combustion engine comprises the secondary air supply, a device for determining a pressure (ps) in the secondary air supply, and an exhaust gas lambda probe for determining a current exhaust gas lambda value (λsens), wherein the method comprises the following steps: a) Determining, using a throttle equation and depending on a pressure (ps) in the secondary air supply, a first secondary air mass flow (ṁsecAirNoAeff) related to the effective throttle area (Aeff); b) Determining a second secondary air mass flow (ṁsecAirLambda) starting from the measured exhaust gas lambda value (λsens) and taking into account a primary air mass flow (ṁair) of the internal combustion engine and a supplied fuel mass flow (ṁinj);c) Deriving an effective throttle area (Aeff) from the first secondary air mass flow rate (ṁsecAirNoAeff) determined in step a) and the second secondary air mass flow rate (ṁsecAirLambda) determined in step b); d) Controlling the secondary air mass flow rate in the secondary air supply using the effective throttle area (Aeff) determined in step c) or a quantity derived therefrom.

Method for controlling multiple fuel injectors (36a, 36b) for a vehicle (12), the method comprising: Determining a total fuel mass for one combustion stage in a cylinder (22); Determining a first injection mass for a first fuel injector (36a) and a second injection mass for a second fuel injector (36b), wherein the sum of the first injection mass and the second injection mass equals the total fuel mass, the first fuel injector (36a) and the second fuel injector (36b) are configured to supply fuel to the cylinder (22), and a first minimum mass per pulse of the first fuel injector (36a) is greater than a second minimum mass per pulse of the second fuel injector (36b); and Control of the first fuel injector (36a) and the second fuel injector (36b) at least partially on the basis of the first injection mass and the second injection mass.

The application relates to the field of carbon emission operation and maintenance analysis, and specifically discloses a carbon emission operation and maintenance data calling and analysis method, which comprises the following steps: obtaining carbon emission intensity of a power plant in an accounting period and comparing the carbon emission intensity with historical same period and industry average level to identify abnormal power plants; determining an abnormal reason based on fuel carbon content deviation as fuel quality fluctuation or unit operation abnormality; if the reason is fuel problem, correcting an emission factor through a machine learning model and recalculating the carbon emission intensity; if the reason is unit fault, drawing a load-emission intensity curve to identify an inefficient unit with emission sudden increase and obtaining an abnormal period and abnormal degree of the unit; determining whether the inefficient unit is single to determine whether a source point is a unit equipment or a shared auxiliary equipment, and then formulating a reasonable troubleshooting order in combination with historical fault records; the method solves the problems of difficult carbon emission abnormality attribution of the power plant, slow operation and maintenance response, realizes dynamic correction of the emission factor, accurate positioning of a fault source point and optimization of a troubleshooting path, and improves carbon management efficiency.

The invention provides a fuel mass distribution optimizing method, and belongs to the technical field of aircraft overall design, and the method comprises the steps: building a fuel entity model, and cutting the fuel entity model through a vertical plane group and a spanwise plane group, so as to obtain a plurality of fuel blocks in a second-stage fuel tank; calculating quality characteristic data of each fuel block; a fuel oil weight distribution function of each secondary oil tank is constructed, the input is the total weight of fuel oil, and the output is quality characteristic data of the secondary oil tanks; based on the weight distribution of the secondary oil tanks and the quality characteristic data of all fuel cutting blocks, screening out fuel cutting block data corresponding to all the secondary oil tanks, performing rib plane cutting in combination with the rib plane coordinate information to obtain optimal division of all rib position neighborhoods, and forming the rib position neighborhoods by areas between two adjacent cutting planes; and based on the quality characteristic data of all the rib position neighborhoods, obtaining fuel quality distribution data. According to the scheme, the calculation precision is improved, the starting difficulty of a designer is reduced, and the working efficiency is improved.

An aircraft-based fuel quality monitoring and alerting system is disclosed herein. The aircraft-based fuel quality monitoring and alerting system may include a first sensor configured to output a signal related to contamination of fuel entering the aircraft through a first fuel inlet. The system may also include a processor configured to determine a first pollution level of the fuel based on the signal and an alarm system configured to issue an alarm if the first pollution level exceeds a predetermined range.

The invention relates to the technical field of thermal power generation fuel management and control, in particular to a thermal power plant fuel intelligent comprehensive management and control system based on the Internet of Things. The data fusion gateway module performs timestamp alignment and space coordinate registration on the multi-source heterogeneous data to generate a fusion data field with a unified space-time reference; the three-dimensional reconstruction and modeling module calls a dynamic reconstruction engine, constructs a voxelization three-dimensional model in combination with the surface morphology of the material pile and internal temperature measurement data, and updates the voxelization three-dimensional model in real time; the quality evaluation module calculates a fuel quality grade map based on the model; and the blending decision-making module is used for matching the quality map with the load demand to formulate a material taking and blending scheme. According to the system, full-period accurate sensing, dynamic modeling and intelligent decision making of the fuel state are achieved, and the management and control efficiency is improved.

The present invention relates to a system for determining the characteristics of fuel supplied to an internal combustion engine and adjusting the operation of the internal combustion engine based on the determined characteristics. The system includes an airflow throttle configured to control the air supplied to the internal combustion engine, a fuelflow throttle configured to control the fuel supplied to the internal combustion engine, an oxygen sensor for engine exhaust, and a controller configured to receive and control the operation of the throttle. The controller is configured to execute a fuel-air determination program that determines a percentage error air-fuel ratio (AF) by comparing the true air-fuel ratio with an ideal air-fuel ratio. Furthermore, the controller is configured to execute a fuel characteristic determination and adjustment program that adjusts the operation of the internal combustion engine based on fuel characteristic values ​​determined based on the percentage error AF.

This invention relates to a method for limiting the rapid operation test of a gas turbine. It selects prior operating data, using inlet air temperature, compressor speed, and low-pressure turbine afterburner gas temperature as inputs and fuel mass flow rate as output, to construct a neural network model under rated operating conditions and a neural network model under 0.5 operating conditions. By comparing the actual fuel mass flow rate under 0.5 operating conditions at the current inlet air temperature with the fuel mass flow rate output value of the neural network model under 0.5 operating conditions, a correction coefficient is obtained. This correction coefficient is used to correct the fuel mass flow rate output value of the neural network model under rated operating conditions. This correction coefficient corrects for the degradation characteristics of fuel calorific value and gas turbine efficiency with operation, achieving the fuel mass flow rate at the current rated operating conditions. This fuel mass flow rate is used as the limiting value for the rapid operation test. During the rapid operation test, when the fuel supply flow rate reaches this limiting value, the throttle stops increasing to prevent over-power generation of the unit.

The invention relates to an oil inlet proportional electromagnetic valve for a heavy oil environment. The oil inlet proportional electromagnetic valve comprises an electromagnet, a valve body, a valve sleeve, a valve element, a valve rod, a plug and a spring. A fuel oil inlet channel, a fuel oil outlet channel, a lubricating oil inlet channel, a lubricating oil outlet channel and a valve body inner cavity are formed in the valve body, the valve sleeve is installed in the valve body inner cavity, and a first communicating hole and an oil outlet window are formed in the valve sleeve. A fuel oil channel is formed between the valve core and the inner cavity of the valve sleeve; the electromagnet is connected to the right side of the valve body, the valve rod is connected between the valve element and the electromagnet, the plug is installed at the left end of an inner cavity of the valve sleeve, and the spring is arranged between the plug and the left end of the valve element. A lubricating oil inlet cavity and a lubricating oil outlet cavity are formed in the right side and the left side of the valve element respectively and communicate with each other through a lubricating oil channel. The outlet end of the lubricating oil inlet channel is higher than the lubricating oil channel, and the inlet end of the lubricating oil outlet channel is lower than the lubricating oil channel. The sensitivity of the oil inlet proportional electromagnetic valve to the fuel quality is reduced, and the stability and reliability of the oil inlet proportional electromagnetic valve are improved.

This invention relates to the field of vehicle control, specifically to a method, device, equipment, and medium for controlling engine torque. This application achieves real-time fuel quality determination by acquiring and analyzing pre-ignition characteristic parameters when pre-ignition occurs in the engine. Secondly, relying on this real-time identification mechanism, it can distinguish between normal fuel and inferior fuel conditions, avoiding the engine remaining in a dangerous state due to unclear fuel quality, and providing a reliable basis for subsequent protection control. Then, after confirming inferior fuel, it actively limits the engine output torque according to a first torque limitation level, effectively reducing combustion load and cylinder pressure, suppressing pre-ignition and knocking phenomena caused by inferior fuel, and overcoming the deficiency of existing technologies that lack corresponding protection measures after identification. Finally, through the linkage control of the above identification and torque limitation, the impact and damage of knocking on key components such as the engine block and pistons can be reduced.