1649 results about "Air temperature" patented technology

The invention relates to the technical field of new energy automobile heat management, and belongs to an indirect heat pump heat management system for a new energy automobile. Battery outlet water and warm core outlet water are converged and then shunted through a waterway integration mode of a five-way valve and a proportional three-way valve, and the flow is distributed through the proportional three-way valve; the mixed water enters the battery to control the water inlet temperature of the battery, so that a water-water heat exchanger can be saved, and the effects of reducing cost and improving efficiency are achieved; on the aspect of the agent side, a large-diameter electronic expansion valve is arranged at an outlet of the water-cooling condenser, the internal flow and state of the water-cooling condenser are actively controlled by adjusting the opening degree of the large-diameter electronic expansion valve, the supercooling degree can be increased, the superheat degree can be restrained, the heat exchange capacity and the accurate control capacity can be enhanced, and heating and dehumidification outlet air temperature control in spring and autumn can be better achieved.

The invention relates to the technical field of low-temperature gasification and heat management, and discloses an ice layer monitoring prediction and self-adaptive control device for a liquid hydrogen air temperature type gasifier. A data acquisition unit of the device acquires the running state of the gasifier and multi-source sensor data of an external environment; the weather prediction unit obtains weather change information in a future period and calculates a comprehensive influence coefficient of weather on the operation state of the gasifier; the data fusion and processing unit calculates an ice layer thickness correction value of each monitoring node according to the data of the multi-source sensor; the threshold value judgment unit judges the icing state of the node, and after the node is judged to be in the icing state, a judgment index representing the icing risk and the ice layer development trend is calculated; and the control response unit switches a deicing mode and executes a corresponding deicing control strategy according to the change state of the judgment index, and switches a high-energy-consumption deicing mode, a low-energy-consumption deicing mode and an observation mode. The deicing energy consumption of the gasifier is reduced, and the operation stability and the heat efficiency are improved.

The invention discloses a dynamic prediction method for a deformation joint of an underground comprehensive pipe gallery. The method comprises the following steps: S1, collecting and fusing multi-source monitoring data; s2, data preprocessing and feature engineering; s3, constructing a dynamic prediction model; s4, dynamic prediction and performance evaluation; s5, early warning and decision support are carried out, in the step S1, temperature field data including the air temperature in the pipe gallery, the concrete temperature (inner and outer surfaces) of the pipe gallery structure and the soil temperature outside the pipe gallery are acquired, and the measuring range ranges from-40 DEG C to 80 DEG C; according to the method, a multi-source monitoring data acquisition and dynamic prediction model system is established, continuous monitoring and trend prediction of the deformation joint of the underground comprehensive pipe gallery are achieved, multi-dimensional data such as the temperature field, the soil pressure and the underground water level are integrated, time sequence analysis is combined, and the deformation joint of the underground comprehensive pipe gallery is obtained. The development rule of the deformation joint can be accurately captured, and a prospective evaluation basis is provided for the safety of a pipe gallery structure.

The invention relates to the technical field of compressor temperature control, and discloses a compressor temperature control system capable of preventing generation of condensate water, which comprises a sensing module, an execution module and a controller. The sensing module is used for collecting air temperature, relative humidity, system working pressure and circulating oil temperature parameters of the compressor in real time. The controller is configured to calculate the current pressure dew point of the system based on the air temperature, the relative humidity and the working pressure of the system; the pressure dew point serves as a floating lower limit, a preset system optimal working temperature upper limit serves as a fixed upper limit, and a dynamic safe working interval is determined; finally, a cooling unit and a heating unit in the execution module are cooperatively controlled to work according to the relation between the circulating oil temperature and the dynamic safety working interval. By establishing the dynamic safety lower limit changing along with the working condition, the problem that the compressor is prone to generating condensate water under the high-humidity or low-load working condition to cause oil emulsification is effectively solved, and accurate and energy-saving temperature control is achieved.

The invention relates to the technical field of indoor environment control, in particular to an energy efficiency optimization and intelligent energy-saving control method and device for an AI five-constant system, and provides the following scheme that indoor and outdoor environment parameters and personnel detection information obtained by a sensing module are combined with an indoor space three-dimensional geometric model, and an energy efficiency optimization and intelligent energy-saving control method and device for the AI five-constant system are obtained. An indoor space is dynamically divided into a target microclimate area and a non-target microclimate area which are formed around people. By respectively determining a five-constant control target parameter set and a differential allowable fluctuation range of the two types of regions, the regulation and control precision is concentrated in the region where the human body is located, and an energy consumption regulation space is reserved in a non-key region. And an energy consumption model is further utilized to construct an operation energy consumption target function, the five-constant-error constraint and the equipment operation constraint are jointly introduced into a multi-target optimization framework, target air supply parameters of the partitioned air supply structure and indoor unit operation parameters are solved, and coordinated regulation and control of the air temperature, humidity, cleanliness, oxygen content and noise are achieved.

The invention discloses an intelligent power protection method for an extended-range hybrid vehicle, which comprises the following steps of: setting a corresponding table of air temperature, altitude air pressure and power protection target SOC (State of Charge), acquiring the environment temperature and the altitude air pressure corresponding to the current vehicle, and determining the power protection target SOC corresponding to the current vehicle; the whole vehicle demand power and the current battery SOC are obtained, the whole vehicle demand power is provided through power generation of a power battery and a vehicle range extender, and the whole vehicle insufficient demand power is provided by the power battery before the vehicle reaches the target rotating speed; under the stable working condition, the range extender charges a power battery by relying on the compensation electric quantity while meeting the power required by the whole vehicle; and under the working conditions of a full accelerator and a large accelerator, the power battery and the range extender jointly provide the required power of the whole vehicle. According to the invention, the intelligence and safety of the electric quantity control of the extended-range automobile can be improved.

The invention relates to the technical field of liquid cooling electric control temperature adjustment, and discloses an air temperature adjustment system for a liquid cooling electric control room based on multi-mode switching. The system comprises a multi-source thermal state monitoring unit, a dynamic thermal coupling evaluation unit, a cooling requirement grading unit and a multi-mode decision-making unit. The multi-source thermal state monitoring unit collects the temperature of a liquid cooling loop of a frequency converter and a fracturing rectifier, the environment temperature of an electric control room and equipment operation power data in real time. The dynamic thermal coupling evaluation unit constructs a nonlinear heat conduction model based on the collected data, and evaluates the dynamic thermal coupling effect between the two devices; the cooling demand grading unit calculates the cooling demand grades of the two devices in combination with the thermal coupling evaluation result and a preset thermal load threshold value; and the multi-mode decision-making unit generates a combined forced cooling, combined natural cooling or mixed cooling mode decision through a ternary state judgment mechanism. The system can flexibly switch cooling modes, is adaptive to different thermal load states of equipment, and gives consideration to both the cooling effect and the energy efficiency.

The invention relates to the technical field of temperature control, in particular to a temperature control method and device for a nursery stock greenhouse cultivation environment and a storage medium. The method comprises the following steps that an in-greenhouse temperature influence model is established, the in-greenhouse temperature influence model can predict the in-greenhouse air temperature according to the in-greenhouse soil temperature, and optimization is carried out by considering the influence of the out-greenhouse air temperature on the in-greenhouse air temperature; acquiring a seedling target soil temperature range and a target air temperature range at the current seedling growth stage, starting an air temperature adjusting strategy when monitoring that the real-time in-greenhouse air temperature is not within the target in-greenhouse air temperature range, and judging whether the in-greenhouse soil temperature is within the target in-greenhouse soil temperature range or not; and if the soil temperature in the greenhouse is not within the range of the target soil temperature, adjusting the soil temperature. According to the method, the response speed and adaptability to environmental changes are greatly improved, and more stable and suitable growth conditions are provided for nursery stocks.

This disclosure provides a heat exchanger assembly and a vehicle, belonging to the automotive field. Under normal vehicle use, generally, the first heat exchanger handles heat exchange for the air conditioning and battery, with a relatively low fluid heat load (i.e., the fluid carries relatively little heat); the second heat exchanger handles heat exchange for the motor assembly and intercooling system, with a relatively high fluid heat load (i.e., the fluid carries a relatively high heat); and the third heat exchanger handles heat exchange for the engine coolant, with the highest fluid heat load (i.e., the fluid carries the most heat). The heat exchangers are arranged in the following order according to the airflow direction: first heat exchanger, second heat exchanger, and third heat exchanger, i.e., ordered from lowest to highest heat load carried by the fluid within each heat exchanger. When air flows through the first heat exchanger, the change in air temperature is smaller compared to when it flows through the second or third heat exchanger. After flowing through the previous heat exchanger, the air still has a lower temperature when it flows through the next heat exchanger, which can still effectively cool the heat exchanger. In this way, the heat exchange of each heat exchanger in the heat exchanger assembly is relatively balanced, which can better ensure the normal heat exchange of each heat exchanger and thus better ensure the normal operation of the vehicle.

The utility model relates to the technical field of air temperature regulation, and provides a tower fan which comprises a fan body, a fan cover and a fan cover. The air outlet grille is installed on the air outlet window, the air outlet grille comprises at least two swing blade assemblies, each swing blade assembly comprises a plurality of swing blades extending in the vertical direction, the swing blades swing in the width direction of the air outlet window, and the orientations of at least part of the swing blades in the swing blade assemblies are not synchronous. According to the tower fan, due to the fact that the tower fan comprises the at least two swing blade assemblies, and the directions of the swing blades of the swing blade assemblies are not completely synchronous, it can be guaranteed that the swing blades of the multiple swing blade assemblies can reach the corresponding areas in sequence, and the blowing frequency of the tower fan is improved. For a user, the swing blades of the different swing blade assemblies sequentially blow the airflow to the area where the user is located, the blowing frequency experienced by the user can be multiplied, the effective air supply time of the tower fan is greatly prolonged, and the blowing effect is improved.

The utility model provides an intelligent temperature control device of a wind power gear box oil cooling system, which comprises a wind power gear box, an oil outlet pipe is fixedly communicated with the surface of the wind power gear box, a heat dissipation mechanism is arranged, and lubricating oil enters a first communicating pipe through the oil outlet pipe and exchanges heat with air through heat dissipation fins. The temperature of the lubricating oil is detected through the first temperature sensor, the semiconductor chilling plate is started, cooling liquid in the cooling cavity is cooled, the low-temperature cooling liquid exchanges heat with hot lubricating oil flowing through the second communicating pipe, the lubricating oil is cooled again, the cooled lubricating oil flows back into the wind power gear box, and circulation is conducted. When the air temperature is low, the reversing valve is started, the lubricating oil directly flows back into the wind power gear box through the backflow pipe, the lubricating oil is cooled after being rapidly heated, and the situation that the lubricating effect is poor due to the fact that the viscosity of the lubricating oil is large at the low temperature is avoided.

The invention discloses an air conditioning method and system for equal-state air supply, a medium and equipment, and belongs to the technical field of air conditioning equipment. The method comprises the steps that on the basis of the indoor design temperature, the indoor design relative humidity, the indoor heat load and the indoor humidity load, the heat-humidity ratio parameter is calculated, and the target temperature value of an equal-state air supply point is determined on an enthalpy humidity diagram; real-time temperature data of the air supply outlet of the fresh air handling unit and the air supply outlet of the fan coil are obtained and compared with the target temperature value, and a corresponding fresh air temperature deviation value and a corresponding return air temperature deviation value are generated; and according to the fresh air temperature deviation value and the return air temperature deviation value, the opening degrees of adjusting valves of the fresh air handling unit and the fan coil are adjusted, so that the air supply temperature of the fresh air handling unit and the air supply temperature of the fan coil are both maintained at the target temperature value. By implementing the method, the technical problem that in the prior art, accurate temperature and humidity control and refrigeration system energy efficiency improvement of a traditional air conditioning system in the high-temperature and high-humidity area high-humidity environment are difficult to achieve at the same time can be solved.

The invention discloses an extension period temperature downscaling method and system based on deep learning in a complex terrain, and belongs to the technical field of temperature prediction. The method comprises the following steps: aiming at the problem of defects in an existing temperature downscaling task, acquiring a back-calculation data set and a reanalysis data set, preprocessing the back-calculation data set and the reanalysis data set to obtain a multivariable training data set, acquiring terrain data, and extracting multi-scale features of a terrain by using a convolutional neural network; constructing an extended-period temperature downscaling model based on deep learning, training the model, fusing topographic data, determining an objective function, and obtaining a trained model; and inputting the low-resolution air temperature forecast data into the trained model to obtain a high-resolution downscaling result. According to the method, complex topographic data and extended period forecast data are adopted, a deep learning method is utilized to extract nonlinear features of air temperature data, respective advantages of multi-scale features are mined and integrated, the forecast air temperature is downscaled, and a high-resolution downscaling result is output.

An indoor horticulture system with modular units arranged in rows within a grow room separated from an air control room by a divider wall. Each row of modular units has air intake and air outlet ducting. The air intake ducting is configured to transmit air from the air control room to the modular units via an air supply fan within each modular unit. The air exhaust ducting is configured to transmit air from the modular units via an air exhaust fan within each modular unit through the air control room and to exhaust air outside of the building. Each modular unit and the air control room has an air temperature sensor. Power dampers in the air control room are controlled by input from the air control room sensor. The speed of the air supply and exhaust fans are controlled by input from the sensors in the modular units.

The multi-split air conditioner system comprises a water module, a full-effect indoor unit, a fresh air module, an adjusting module and a processing device and further comprises a mode setting unit, and the mode setting unit is configured to execute water module priority control and configure the air supply temperature of the adjusting module to be not lower than the indoor temperature during heating and when the water module and the adjusting module operate; the load evaluation unit is configured to generate a water module supply capability urgent signal when the water module priority control is executed and the current supply capability of the water module is evaluated to be lower than the required load; the interval generating unit is configured to generate a current opening degree adjusting interval of the indoor throttling element when the water module supply capacity urgent signal is generated; the current opening degree adjusting interval is a subset of the opening degree adjusting interval before adjustment, the current adjustable interval limits the opening degree of the indoor throttling element, and on the basis that the air supply temperature of the adjusting module is not lower than the indoor temperature, refrigerants in the indoor heat exchanger are released. The method has better control stability.

The invention provides a hot blast stove system energy-saving control method based on multi-parameter cooperative control. Firstly, parameters such as waste gas temperature, furnace top temperature, waste gas oxygen content and coal gas flow are collected through sensors, real-time data are input into a cooperative control module, an optimal waste gas temperature rise curve is fitted through a pre-trained deep neural network model, and an initial opening instruction of an air and coal gas regulating valve is calculated in combination with a multiple linear regression model. And then a parameter self-adaptive PID controller is used for dynamically adjusting parameters according to the real-time temperature deviation, a final control instruction is generated and executed, and effective regulation and control of waste gas and the vault temperature are achieved. The system can intelligently decide to increase or decrease the air or gas amount, optimize the combustion efficiency, reduce the gas consumption and prolong the service life of equipment. The method breaks through the limitation that control only depends on the optimal air-fuel ratio traditionally, a gas energy-saving scheme based on the waste gas temperature rise curve is provided, the method is suitable for a hot blast stove system in the metallurgical industry, and it is expected that gas consumption can be reduced by 3%-15%.

The embodiment of the invention provides a method and device for obtaining the humidity of fabric in a fabric treatment appliance, and the method comprises the following steps: during the drying operation period of the fabric treatment appliance, obtaining the humidity of the fabric; acquiring an air temperature parameter of the fabric treatment appliance related to air circulating in the fabric treatment appliance during the drying operation and a drainage characteristic parameter related to liquid water separated from the fabric in the fabric treatment appliance through the drying operation; a humidity of the fabric in the fabric treatment appliance is determined based at least on the air temperature parameter and the drainage characteristic parameter. The application also relates to a fabric treatment appliance and a computer program product. According to the method and the device, the real-time humidity of the fabric can be determined without being influenced by the accumulation form and humidity distribution of the fabric, so that the measurement accuracy of the humidity of the fabric is improved, and a humidity sensor with high cost and limited measurement conditions is prevented from being used; therefore, the technical purpose of accurately obtaining the humidity of the fabric in the fabric treatment appliance at low cost is achieved.

The application discloses a transformer operation state monitoring and fault early warning method based on state index calculation, relates to the technical field of transformer operation state monitoring, and aims to solve the problem of reduced accuracy of potential fault identification. In the transformer operation process, winding temperature is collected to calculate temperature rise trend and monitor vibration state, vibration frequency is obtained, operation stress coefficient is calculated in combination with the temperature rise trend and the vibration frequency, the electric conductivity of insulation oil in the oil circulation pipeline is detected, the state index is generated by comprehensively considering the electric conductivity and the operation stress coefficient, and the transformer operation state is classified accordingly. When the state is warning, multiple groups of different cooling powers are inputted, the monitoring time is set, the corresponding radiator outlet air temperature is collected, the power change amount and the outlet air temperature difference change amount are calculated after the cooling powers are sorted, the heat dissipation characteristics are comprehensively evaluated, and it is judged whether a fault warning signal is generated, so that early warning of potential faults of the transformer is realized, and operation safety and reliability are improved.

The invention provides a heat pump ring fin difference control method and system based on dew-point temperature prediction, and the method comprises the steps: calculating the current dew-point temperature based on the air temperature and the relative humidity, and obtaining a future dew-point temperature sequence through linear weighting prediction based on historical dew-point data; generating a candidate control action set based on the current dew point temperature, the future dew point temperature sequence, the current fin temperature, the current opening degree of the electronic expansion valve, the rotating speed of the fan and the upper limit of the adjustment stride; screening candidate action subsets through an evaluation function; for each candidate action, using a semi-analytical system response simulator to predict a future fin temperature sequence, and calculating a difference sequence between the fin temperature and the dew point temperature based on the future fin temperature sequence; carrying out weighted calculation on a risk score for the difference value sequence of each action, and screening an action set based on a risk score threshold value; and an objective function is constructed, the action with the minimum objective function value is selected as the optimal control action, and the optimal control action is issued to the electronic expansion valve and the fan driver through PWM signals.

The invention discloses a method and device for predicting an extreme temperature and a storage medium, and relates to the technical field of air temperature prediction. The method comprises the following steps: acquiring a historical temperature average field, a historical temperature flat field and historical circulation factor observation values corresponding to a plurality of target circulation factors; determining a plurality of target space modes, an abnormal temperature evolution sequence and a corresponding abnormal temperature prediction sequence according to the historical temperature distance flat field; determining predictable effective duration according to the abnormal temperature evolution sequence and the corresponding abnormal temperature prediction sequence; determining a target modal weight coefficient corresponding to each target space modal according to the predictable effective duration; determining a predicted extreme temperature range flat field of the temperature region to be measured according to the historical circulation factor observation value and the target modal weight coefficient; and superposing the predicted extreme temperature distance flat field and the historical temperature average field to obtain an extreme temperature prediction result. According to the invention, the problem of low prediction accuracy of the extreme temperature in the prior art can be solved.

The invention discloses a drying control method for a multi-drum washing machine. The method comprises the steps that a drying instruction of a user is received; according to the identification information of the target washing drum, an air path switching device on the corresponding drying branch is controlled to be started, and a draught fan on the drying pipeline is started; according to the selected drying mode, at least one heating unit in the multi-stage heating body is controlled to be started so as to generate hot air flow; the inlet air temperature is collected through an inlet air temperature sensor in real time, and the outlet air temperature is collected through an outlet air temperature sensor corresponding to the target washing drum; calculating the temperature difference, analyzing the change characteristics of the temperature difference, and evaluating the real-time drying degree of the clothes in the target washing drum according to a preset drying degree judgment model. Through intelligent matching of the multi-stage heating body and the drying mode and the dryness judgment model based on the inlet and outlet air temperature difference dynamic characteristic, the clothes drying state can be accurately sensed, excessive drying is avoided, and energy consumption is remarkably reduced while the effect is guaranteed.

The invention discloses an irrigation system based on potato canopy temperature collection and a water stress index, and relates to the field of potato planting, the system comprises a temperature collection module used for collecting the canopy temperature of potatoes in real time; the meteorological data acquisition module is used for acquiring the wind speed, the air temperature and the relative humidity of the target farmland; the central processing module is used for performing compensation processing on the canopy temperature based on the wind speed to obtain a compensated canopy temperature; calculating a water stress index based on the compensation canopy temperature and the air temperature; the decision module is used for generating an irrigation decision signal based on the water stress index and the relative humidity; and the execution module is used for controlling and executing irrigation operation based on the irrigation decision signal. By collecting the temperature of the potato canopy and combining a wind speed compensation mechanism to eliminate environmental interference, the problem that traditional soil humidity detection is lagged is solved, and irrigation response timeliness is remarkably improved.

The utility model relates to a water heating control device for a poultry breeding house, which is characterized in that a group of water heating radiators and a fan heater matched with the water heating radiators are connected between a drain pipe (3) and a water return pipe (4), a water tank water temperature detection probe is arranged at a water outlet of a water tank, and an inlet water temperature detection probe and an outlet water temperature detection probe are arranged at a water inlet and a water outlet of each radiator. A group of air temperature detection probes corresponding to the heat supply areas of the radiators are arranged in the poultry breeding house; a controller MCU is arranged, all the temperature probes are connected with the controller MCU through an RS485 bus, the collected measured values of all the temperature probes are transmitted to the controller MCU, the controller MCU operates a control program to send out an instruction, and corresponding switching devices are driven through connected driving circuits to control the warm air blower and the circulating pump to be started or stopped. The utility model has the advantages and effects that the warm air blower is ensured not to blow cold air to chicken bodies, the phenomenon of alternate blowing of cold air and warm air can be effectively prevented, and chicken flocks are prevented from getting ill due to cold air blowing.

The invention discloses a data center machine room energy-saving intelligent regulation and control system and method based on data driving. The system is provided with a data acquisition module, an edge intelligent processing node, a relation matrix construction module, a global optimization control module and a strategy execution and visualization module. Multi-point temperature data in a cold channel and a hot channel are collected in real time, preprocessing is carried out through edge calculation, and the mapping relation between temperature distribution and control behaviors is established through a relation matrix. In actual operation, the system continuously accumulates the environment state, the air conditioner set value, the air supply speed and the corresponding temperature response data, continuous modeling and control strategy optimization are conducted through a self-learning algorithm, and dynamic adjustment of the precise air conditioner air supply temperature, the air return temperature and the floor air supply outlet air speed is achieved. Compared with the prior art, machine room energy-saving management of global temperature control can be realized, the total energy consumption of the machine room is greatly reduced, and the coordination control requirement between the temperature stability of the cold and hot channels and the energy efficiency is met.

The invention relates to the technical field of container houses, and discloses an intelligent environment control system for a container house, a temperature acquisition module deploys temperature sensing nodes in a plurality of temperature control areas divided in the vertical direction of the container house, and obtains the internal air temperature value and the envelope surface temperature value of each temperature control area; the model construction module determines a thermal resistance characteristic coefficient according to the surface temperature value and the internal air temperature value of the enclosure structure, determines a ventilation heat exchange coefficient according to the ventilation flow value and the internal and external temperature difference, and constructs a dynamic thermal resistance model based on the thermal resistance characteristic coefficient and the ventilation heat exchange coefficient; a deviation analysis module performs deviation analysis on the internal air temperature value and a preset target temperature field to obtain a temperature field deviation degree, and calculates a temperature control demand level; the temperature control module generates a cooperative control sequence of variable frequency air conditioner power adjustment and ventilation device opening adjustment according to the temperature control requirement level and a preset energy consumption constraint condition, and the uniformity, comfort and energy efficiency of temperature control of the container house are improved.

The invention relates to the technical field of hot air, in particular to a high-frequency hot air enhancing method based on airflow cavitation, which comprises the following steps: acquiring a first gas volume flow rate at an air inlet of a hot air device and a second gas volume flow rate at an air outlet, whether the fluctuation of the hot air temperature at the air outlet is qualified or not is determined according to the stability characterization value based on the volume flow difference; a low-pressure area and a high-pressure area in the hot air device are determined according to the temperature distribution stereogram in the hot air device, and whether pressure gradient distribution is qualified or not is determined based on the low-pressure overlap ratio and the high-pressure overlap ratio; the rotating speed of the power mechanism is adjusted through a rotating speed adjusting coefficient based on the transition area distance, or the valve opening degree of the air inlet is adjusted based on the distribution uniformity characterization value of the eddy current density; and determining whether the cleaning period of the hot air device is qualified or not based on the reduction rate of the volume flow difference so as to adjust the cleaning period or adjust the self-cleaning power of the hot air device. The hot air temperature stability of the hot air device is improved.

The application discloses a hydrogen engine crankcase hydrogen concentration control method, and relates to the field of hydrogen engines, which comprises the following steps: placing a hydrogen engine on a test bench to test, obtaining a target hydrogen concentration, an actually measured hydrogen concentration and a crankcase blow-by amount; calculating a target working condition supplementary air amount according to the target hydrogen concentration, the actually measured hydrogen concentration and the crankcase blow-by amount; generating a full working condition supplementary air amount database according to the target working condition supplementary air amount, based on the rotating speed and the load of different working conditions; obtaining the fresh air amount required to be supplemented by a current target working condition according to the full working condition supplementary air amount database; obtaining an intake air pressure, an intake air temperature and a crankcase pressure; combining the intake air pressure, the intake air temperature and the crankcase pressure to calculate a throttle opening degree; comparing the hydrogen concentration measured by a hydrogen concentration sensor according to the current target working condition with the target hydrogen concentration to obtain a hydrogen concentration deviation; generating a corrected fresh air amount; and performing closed-loop control on the actual crankcase hydrogen concentration by adjusting the throttle opening degree.

The application provides a control cabinet for smart grid, and belongs to the technical field of control cabinets. The control cabinet comprises a cabinet body, a refrigerating machine fixedly connected to the upper wall of the cabinet body, an external pipeline I arranged on one side of the refrigerating machine, an external pipeline II arranged on the other side of the refrigerating machine, an openable cabinet door arranged on the front side of the cabinet body, an air flow assembly arranged on the inner wall of the cabinet door and the cabinet body, an assembly component arranged in the cabinet body, and a heat removal unit arranged on the rear side of the cabinet body and connected to the air flow assembly. The application solves the problem that the control cabinet for smart grid is usually cooled by open air cooling, and external air is introduced into the cabinet by a fan to reduce the temperature. However, this method is prone to cause dust, water vapor and pollutants in the external environment to enter the cabinet body, thereby polluting electrical components.

1. The name of the design product: integrated traffic meteorological monitor. 2. The use of the design product: for measuring visibility, road conditions, road temperature, wet slip coefficient, air temperature, relative humidity, wind speed, wind direction, air pressure, rainfall and other data. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

This invention discloses a spray-finned heat exchanger device, belonging to the field of air heat and humidity treatment technology. It includes an air duct, an air supply component, a spray component, a water collection component, a spray circulation component, a finned heat exchanger, a finned heat exchanger water-side circulation component, a sensor component, and a controller. The invention further includes steps for collecting inlet air temperature, inlet air relative humidity, inlet air velocity, and average supply and return water temperatures to obtain the operating status, and then inputting these into an outlet temperature prediction model and an outlet moisture content prediction model to obtain predicted outlet temperature and humidity values. Additionally, it includes a joint control step of collecting inlet air status data, inputting it into a control model to obtain inlet air velocity setpoints and average supply and return water temperature setpoints, and outputting control commands to drive the air supply component and the finned heat exchanger water-side circulation component to operate and cyclically correct. This invention solves the problems of strong temperature and humidity coupling in existing heat and humidity treatment devices, making joint control difficult, and the reliance on experience-based settings leading to insufficient outlet temperature and humidity control accuracy and a lack of quantitative prediction models.