13848 results about "Air volume" patented technology

The invention provides a multi-target combustion optimization method based on economic predictive control, and aims to solve the problems that the power generation load and the in-furnace coal quality are frequently changed, conventional DCS control has defects in the aspects of air quantity and oxygen quantity optimization, boiler efficiency balancing, NOx emission, steam temperature control and the like, part of boiler parameters are difficult to accurately measure, and the existing combustion optimization technology is limited in applicability. The method comprises the following steps: collecting and preprocessing historical operation data, classifying and screening according to steady-state working conditions, and constructing a correlation model to perform preliminary combustion optimization; a load and coal quality change prediction model and a combustion process dynamic relation model are established according to unit characteristics and historical data; then, in the online secondary optimization stage, an initial parameter combination is selected according to the current state and the prediction state, and the combustion parameter adjustment amount meeting the multiple constraints is calculated through an economic prediction control algorithm and applied and corrected. Experiments show that the method can improve the boiler efficiency, reduce NOx emission, optimize steam temperature control, relieve the labor intensity of personnel and effectively improve the combustion performance.

The invention belongs to the technical field of cleaning equipment, and particularly relates to a cyclone separation assembly, a dust collection device, cleaning equipment and a cleaning system. The cyclone separation assembly comprises a cyclone cylinder and a cyclone cone, and the cyclone cylinder comprises a cyclone support and an air inducing part connected with the cyclone support; the cyclone cone is arranged in the cyclone bracket; the axis of the cyclone cone deviates from the axis of the cyclone support in the direction away from the air inducing part. According to the cleaning equipment, the air quantity passing through the air inducing part can be increased, the dust collection effect of the cleaning equipment is improved, the phenomenon that large-particle dirt is stuck at the air inducing part can be avoided to a certain extent, and it is guaranteed that the cleaning equipment can normally operate.

The invention discloses a coal mine ventilation and heat reduction integrated control method based on intelligent scheduling, and relates to the technical field of coal mine ventilation and heat reduction control, and the method comprises the following steps: arranging a plurality of monitoring devices on a ventilation path and a standby ventilation path of a mine, and collecting temperature, humidity, gas concentration and wind speed and volume data; the central control system gathers monitoring data in real time, analyzes the ventilation condition in the air duct and identifies whether abnormal changes exist or not. Continuous ventilation is ensured through multi-path redundancy and dynamic switching, risks of gas explosion and the like are reduced, early warning is performed by means of the airflow simulation model, and safety of miners is guaranteed. And in combination with a reinforcement learning algorithm and a simulation model, quick response and self-adaptive adjustment are realized, air distribution is optimized, shutdown is avoided, and economic benefits are improved. Meanwhile, by intelligently planning a ventilation path and dynamically adjusting the fan load, energy consumption and maintenance cost are reduced, the service life of equipment is prolonged, and sustainable operation of a mine is promoted.

The invention provides a sewage treatment aeration control system and method based on multi-parameter collaborative optimization. The method comprises the following steps: acquiring multi-sensor data of COD (Chemical Oxygen Demand), BOD5 (Biochemical Oxygen Demand), DO (Dissolved Oxygen Demand), ammonia nitrogen, ORP (Oxidation Reduction Potential), pH (Potential of Hydrogen), water inlet flow and sludge concentration of wastewater in an aeration tank by utilizing a multi-parameter sensor module; according to the dynamic correction oxygen mass transfer coefficient and the feedforward parameter, establishing a relationship between the water inlet load and aeration; calculating the air volume of an air blower and the fine adjustment value of the opening degree of a butterfly valve through a PID control algorithm and feedback parameters, and correcting the aeration quantity to obtain a total air volume target value; and adjusting the opening degree and the rotating speed of a guide vane of the air blower according to the self-adaptive PID control parameters and the corrected total air volume target value by utilizing a self-adaptive PID controller, and adjusting the opening degree of a butterfly valve according to a gradient butterfly valve adjusting strategy. The output of the air blower is optimized by adopting self-adaptive PID, and the opening degree of the butterfly valve of each biological tank is dynamically adjusted through a gradient valve adjusting strategy, so that the accurate control of the aeration rate is realized; the sewage treatment effect is ensured.

A dynamic pressure response drainage system including control logic configured to enable measuring of residual fluid disposed within the drainage lumen. The residual fluid volume is measured by detecting the magnitude of the dynamic pressure response in the system containing the residual fluid when a sudden displacement (e.g. increase or decrease) of air volume occurs inside the system. The pressure burst magnitude is related to the pressure needed to move the mass of fluid, thus the fluid volume can be calculated from measurements of the burst pressure. The magnitude of the measured air pressure exhibits a dynamic pressure response corresponding to the mass of fluid in the tube. Either positive or negative pressure bursts can be used to produce and measure the corresponding positive or negative dynamic response spike pressure.

The invention relates to the field of mine ventilation, in particular to an intelligent adjusting method and system for mine ventilation. The method comprises the following steps: constructing a dynamic topology model taking a roadway as an edge and taking a fan and an air door as nodes based on a mine CAD drawing; acquiring the actual wind pressure and the actual wind volume of each roadway branch in real time, performing inversion to obtain the current wind resistance, and updating the wind resistance attribute of the edge in the dynamic topology model by using the current wind resistance; calculating the optimal air volume of the roadway branch by using the updated dynamic topology model; based on the optimal air volume, target regulation and control parameters of the draught fan and the air door are obtained through solving by means of a particle swarm algorithm; and according to the target regulation and control parameters, the fan and the air door are adjusted through a fuzzy PID algorithm. The problem that in the prior art, mine ventilation adjustment is not intelligent and safe enough is solved, the theoretical optimal air volume is obtained through deep analysis of the mine, then ventilation adjustment is conducted step by step, and the scientificity and efficiency of ventilation adjustment are improved.

The invention relates to the technical field of mine ventilation control, in particular to a mine fan ventilation control method and system based on digital twinning. The method comprises the following steps: carrying out data preprocessing on acquired mine monitoring data; performing feature extraction on the preprocessed mine monitoring data; utilizing a random forest algorithm to predict the relationship between the data characteristics and the fan air volume; a digital twinborn model is used for resolving the relation between the data characteristics and the fan air volume, and a fan ventilation control strategy is obtained; and generating a PLC control instruction based on the fan ventilation control strategy. And through multi-source data fusion and deep analysis, the real-time ventilation requirement of the mine can be accurately grasped. Based on random forest algorithm prediction and digital twinborn model calculation, dynamic and accurate adjustment of the air volume of the draught fan is achieved, it is ensured that the concentration of harmful gas in all underground areas is maintained within a safety threshold value, the oxygen content is sufficient, an ideal environment is created for personnel operation and equipment operation, and the safety and reliability of a ventilation system are remarkably improved.

The invention provides an automatic energy-saving control method and device for a ring cooling fan based on load feedback, relates to the field of ring cooling fans, and solves the technical problem of delay of regulation and control in an energy-saving working state. The method comprises the steps that working condition data are input into a preset powder box model, and a feed-forward air volume instruction is obtained through calculation; and inputting the working condition data into a state observer to obtain an optimal estimated temperature value. And the deviation between the optimal estimated temperature value and a preset temperature set value is calculated, and a feedback air volume compensation instruction is obtained through calculation of a feedback controller according to the deviation. And fusing the feed-forward air volume instruction and the feedback air volume compensation instruction to obtain a final air volume control instruction, and issuing the final air volume control instruction to a fan frequency converter for execution. And continuously monitoring the numerical value and the change trend of the feedback air volume compensation instruction, taking the feedback air volume compensation instruction as a prediction error signal of the powder box model, and adaptively adjusting key thermal parameters in the powder box model. The method is used in the control process of the ring cooling fan.

The invention relates to the technical field of clean environment control, in particular to a dynamic pipe network and model predictive control clean room energy-saving pressure control method and system. Obtaining current pipe network impedance according to the pipe network impedance curve; calculating the current valve impedance according to the valve opening; calculating the total pressure drop of the current pipe network; constructing a fan dynamic model based on a fan similarity law to calculate the air volume at the next moment; a clean room pressure difference dynamic model is constructed, and the clean room pressure difference at the next moment is calculated; constructing a state space model and a target function of a model prediction controller; and when the pressure difference of the clean room is unstable, predicting the change trend of the pressure difference of the clean room in the next time period, and reversely solving the optimal fan frequency and valve opening of the discretization state space model by using the model prediction controller so as to achieve the lowest pipe network impedance and obtain the optimal fan frequency. The control precision and robustness of the pressure difference of the clean room are remarkably improved, and meanwhile energy consumption is reduced.

The invention relates to the technical field of communication machine room energy conservation, in particular to a temperature energy-saving control method and system for a communication machine room, and the method comprises the steps: obtaining multi-region temperature and humidity and equipment load data in the machine room, inputting a pre-training model to obtain a cabinet heat dissipation risk level, judging an environment state through combination with an incidence matrix, entering an operation mode if a requirement is satisfied, and entering a control mode if a requirement is satisfied. If not, a local temperature control adjusting mechanism is triggered; the method comprises the following steps: calculating a refrigeration efficiency ratio according to the air volume of ventilation equipment, air conditioner power consumption, real-time electricity price and the like, generating a candidate scheme set by using a dynamic weight multi-target optimization algorithm in combination with factors such as equipment life, and selecting a target scheme through virtual verification; and according to air conditioner waste heat and cabinet heat dissipation and storage heat, a heat energy distribution strategy is dynamically generated by using a deep Q network reinforcement learning algorithm. Therefore, the problems that in the prior art, energy is wasted, cost is high, heat dissipation requirements of all areas are difficult to accurately adapt, the service life and stability of equipment are affected, and fault risks are increased are solved.

The invention relates to the technical field of additive manufacturing, in particular to an air field system with uniform airflow distribution for an additive manufacturing large-breadth forming platform, which comprises an air inlet three-way pipe unit and a negative pressure air draft unit, the air inlet three-way pipe unit comprises a main air supply pipe, an upper air outlet pipe and a lower air outlet pipe; the upper air outlet pipe and the lower air outlet pipe are each internally provided with a flow dividing grating assembly, air outlets of the upper air outlet pipe and the lower air outlet pipe are divided into a plurality of sub air outlets with the same opening size through the flow dividing grating assemblies, and flow guide pipes are arranged at the air outlets of the upper air outlet pipe and the lower air outlet pipe. An airflow dispersion unit is arranged on the side, close to the sub air outlets, in the flow guide pipe, a linear air outlet hole is formed in the other side of the flow guide pipe, and a conical flow channel with a conical section is arranged between the airflow dispersion unit and the linear air outlet hole. By means of the multi-stage flow dividing and guiding design, the effect that airflow in all areas of the large-breadth forming platform is evenly distributed under the condition of low air volume is achieved.

The invention discloses a server, a heat dissipation control method and device thereof and a storage medium, relates to the field of servers, and aims to solve the problems of fan redundancy and power waste caused by selection of a high-power fan for efficient heat dissipation, and the method comprises the following steps: acquiring actual temperature values of a plurality of heat dissipation control positions in the server; in response to a target temperature value meeting a reference adjustment condition in the plurality of actual temperature values, determining a target module in the plurality of fan modules based on a heat dissipation control position corresponding to the target temperature value; and adjusting the rotating speed of the target module and / or the steering angle of the rotor based on the target temperature value and the regulation and control temperature value corresponding to the heat dissipation control position. According to the invention, an area with a heat dissipation requirement can obtain more air volume, heat dissipation balance is realized, the heat dissipation efficiency is improved, a high-power fan does not need to be arranged in each area, and redundant configuration and power consumption waste of the fan are reduced.

The invention relates to a dynamic regulation and control method and system for mine ventilation. The method comprises the following steps: acquiring multi-source data in a mine, and preprocessing the multi-source data to obtain a standardized data set; calculating the risk of each region in the mine based on the standardized data set to obtain a risk prediction matrix; based on the standardized data set and the risk prediction matrix, the air volume demand of each area is calculated, and an air volume demand table is obtained; based on the air volume demand table, an optimization proposition corresponding to the air volume demand is constructed and solved, and a solution set of the optimization proposition is obtained; mapping the solution set based on a preset rule to obtain a feasible allocation scheme; and based on the feasible allocation scheme, generating an equipment cooperation instruction, and obtaining a security instruction set. According to the method, dynamic factors can be considered, the air volume is dynamically adjusted, multi-fan cooperation is achieved, and the effects of real-time sensing and autonomous dynamic decision making of mine ventilation are achieved.

The invention discloses an air conditioner supply and demand collaborative optimization scheduling method, which relates to the technical field of air conditioner supply and demand scheduling, and comprises a sensing prediction module, an acquisition comparison module, a deviation correction driving module, a control adjustment module, a cold source control module, a strategy adjustment module and an anomaly detection module. When the abnormality detection module detects that the air conditioner terminal breaks down, the control adjusting module enhances the power of the peripheral equipment to fill the cooling capacity gap, if the water chilling unit breaks down, the cold source control module starts the standby unit to switch the cooling capacity output path, and when the cooling capacity is insufficient, the control adjusting module is in linkage to reduce the air volume of the low-priority area to preferentially guarantee cooling of the core area; meanwhile, a strategy adjusting module automatically matches a predefined strategy chain according to the fault type, for example, global average temperature control is switched when temperature control fails, a load balancing strategy is triggered to be distributed to a standby unit when equipment is overloaded, and the strategy is gradually rolled back to the optimal strategy based on historical data after the fault is repaired; and strategy conflicts and equipment fluctuations are avoided through progressive improvement of cold energy supply.

The invention discloses a gas mixing control device for an LPG (Liquefied Petroleum Gas) generator set, which relates to the technical field of generator set operation control, and comprises a gas engine for realizing accurate mixing proportion control under the matching of a proportion dynamic response component, predicting the optimal gas mixing proportion and flow demand under the current working condition, and controlling the gas engine to operate according to the optimal gas mixing proportion and flow demand. When the propane content in the LPG is increased, the model prediction controller properly reduces the gas inflow and increases the air amount, sufficient combustion is ensured, the mixing proportion and flow can be rapidly corrected, the combustion process is rapidly recovered to be stable, it is ensured that the gas engine stably operates under different loads, the whole device forms flow balance and stable operation, and the service life of the gas engine is prolonged. Under different gas sources and LPG component differences, effective components actually participating in combustion are accurately judged, so that the needed gas and air amount is accurately calculated, accurate mixing proportion control is achieved, and meanwhile accurate control over the mixed gas mixing process is achieved under the cooperation of an adjusting control assembly.

The invention relates to the technical field of powder concentrator control, in particular to an unpowered powder concentrator air volume control method and system, which reduce the time and frequency of shutdown adjustment, improve the continuity and stability of a production line and finally improve the overall production efficiency through real-time and dynamic control. The method comprises the following steps: collecting a plurality of material grading samples obtained by grading and powder selecting of an unpowered powder selecting machine; based on preset material grading target features, target deviation feature extraction is carried out on each material grading sample, and a material grading deviation vector corresponding to the collection time is obtained; obtaining material grading deviation vectors at a plurality of collection times, and arranging the material grading deviation vectors according to a time sequence to obtain a material grading deviation matrix; and inputting the material grading deviation matrix into a pre-constructed powder concentrator grading precision evaluation model to obtain a material grading precision index corresponding to the unpowered powder concentrator.

The invention provides a nitrogen oxide incineration equipment control method for drying carbonization, which comprises the following steps: acquiring combustion characteristic data of high-humidity sludge blocks in a fluidized bed incinerator, and extracting nitrogen oxide peak intensity, occurrence time, duration and peak shape steep degree to obtain a parameter set; real-time load data of the induced draft fan are obtained, the hearth negative pressure stability fluctuation range is analyzed in combination with the adjustment value, and if fluctuation exceeds a preset safety range, the load adjustment amplitude of the induced draft fan is calculated, and a load adjustment curve is generated; a multi-actuator cooperative control time sequence model is constructed based on the load adjustment curve and the adjustment value, the nitrogen oxide peak generation time and the duration are fused, the cooperative adjustment time sequence of secondary air supply and the draught fan load is calculated, and a control instruction is generated; and a control instruction is transmitted to a fluidized bed incinerator executing mechanism, the opening state of the tuyere and the air volume ratio are adjusted, the load of the induced draft fan is updated, and the adjusted hearth operation parameters are continuously monitored.

The floating type offshore wind turbine based on the tuned mass damper comprises a floating type foundation and a wind generating set, the wind generating set comprises a stand column, and the tuned mass damper is arranged in the stand column; the floating foundation comprises a buoy and a mounting platform, a base plate is slidably connected into the buoy, one end of the base plate is connected with the buoy through a damper spring, and the other end of the base plate is connected with the mounting platform through a supporting column. A submersible pump is arranged on the surface, close to the buoy, of the mounting platform, communicates with seawater through a first pipeline and communicates with the buoy through a second pipeline. And the buoys are distributed in a circumferential array along the mounting platform. The wind-resistant strength is improved, the cost is low, resetting is fast, the resetting effect is good, and offshore wind energy resources can be better utilized; the tuned mass damper is installed, vibration is reduced through compression and reset of the damping spring, and safety is improved; an air speed sensor is arranged, offshore air speed and air volume can be monitored, and the controller can conveniently control whether seawater is extracted or not.

The invention discloses a thermal power generating unit frequency modulation and peak regulation performance optimization method, system and device and a storage medium, and relates to the technical field of thermal power generation control, and the method comprises the steps: obtaining historical working condition data of a thermal power generating unit, building a target prediction model based on the historical working condition data, inputting real-time working condition data to the target prediction model, the method comprises the following steps: determining prediction signals of future coal as fired quantity and pulverized coal flow velocity and load variation of a thermal power generating unit, determining delay information between a coal as fired quantity signal and a pulverized coal flow velocity signal according to the prediction signals and corresponding actual signals, compensating system response lag time difference based on the delay information, and determining the coal as fired quantity according to the load variation. Determining adjustment values of the coal as fired and the air volume, and adjusting the coal as fired and the air volume in real time based on the adjustment values; and on the basis of a cascade control strategy, the air powder flow speed and the air powder temperature of the boiler are adjusted in real time, rapid response to dynamic changes of a combustion system is achieved, and the adjusting capacity of a thermal power generating unit under frequent load fluctuation is improved.

The invention relates to the technical field of mine intelligent ventilation, and discloses a mine intelligent ventilation system which comprises a mine ventilation environment parameter monitoring system, an air door and air window automation and remote control system, a local ventilator intelligent control system, a main ventilator intelligent monitoring system and an analysis decision platform. In the mine ventilation environment parameter monitoring system, according to the principle of mine ventilation resistance measurement, a ventilation route of a mine is selected, multi-parameter sensors are arranged at nodes, air pressure, temperature, humidity, wind speed and wind quantity at the starting end and the tail end of each roadway of the mine are monitored in real time, and node air density is calculated. According to the intelligent ventilation system for the mine, real-time wind measurement improves the wind measurement precision and frequency of the mine and reduces the workload of manual wind quantity detection, meanwhile, the number of wind measurement staff can be properly reduced, manual inspection tour and unattended operation of wind measurement work are achieved, and therefore expenditure is reduced.

The dustproof valve comprises a valve device, a shutter protecting cover is connected to the front portion of the valve device, a rear connecting dust collecting frame is connected to the rear portion of the valve device, a valve shell is arranged in the valve device, a driving device is installed on the outer wall of the valve shell, even number of valve inner guide blocks are installed in the valve shell, and valve bodies are arranged between the even number of valve inner guide blocks. When the valve body is opened, the valve body is driven by the driving device, so that the valve body is reset to a 90-degree horizontal ventilation state after being opened and closed by 135 degrees, a sliding frame connected with an ejector rod is jacked by a lower top sealing plate on a side sliding rail by the same degree and then is reset synchronously, a dust screen in a dust screen winding drum is stretched in the jacking and resetting process, and the dust screen is prevented from being blocked. According to the dust-proof net, the net body is matched with the cleaning assembly to form brushing, dust adhering to the surface of the net body falls into the collecting box to be collected under brushing, then dust cleaning work on the dust-proof net is completed under the condition that the dust-proof net is not disassembled, and the normal operation state of the air volume and the ventilation system in the long-time use state is ensured.

The invention provides an underground heat supply system based on an air energy heat pump as a heat source and a remote monitoring method, and the system comprises a heat source dynamic tuning subsystem which carries out the dynamic parameter optimization processing of environment temperature and energy storage state data, and obtains an air energy heat pump operation instruction; first characteristic adjustment of air energy heat pump output is formed through an air energy heat pump operation instruction, and matching of the temperature of an energy storage water tank and an environment heat source is achieved. The underground hot air accurate adjusting subsystem obtains underground real-time temperature data, the underground real-time temperature data is subjected to spatial thermal field calculation processing to obtain air volume demand parameters, and dynamic balance between the air supply intensity and the underground thermal environment is formed; and the multi-stage cooperative control center subsystem performs three-stage logic verification processing on the signals of the air energy heat pump operation instruction and the fan frequency instruction to obtain an equipment regulation and control instruction set. The underground intelligent heat supply system of the air energy heat pump, which has the environment self-adaption capability, the dynamic balance capability of a thermal field and the remote monitoring characteristic, is constructed.

The invention discloses an intelligent control method for water treatment aeration. The intelligent control method comprises the following steps: S1, setting a preset condition; s2, measuring water quality data, wherein the data comprises chemical oxygen demand (COD), ammonia nitrogen amount, water temperature and water flow velocity; s3, an intelligent aeration algorithm is set, the intelligent aeration algorithm comprises an air inflow calculation model, the air supply amount of a fan and the opening degree of a valve are adjusted according to the result of the air inflow calculation model, and therefore the dissolved oxygen content, namely the DO value, is adjusted; s4, performing operation calculation according to the current water quality data through an intelligent aeration algorithm to obtain a suggested air volume of the intelligent aeration algorithm; intelligent aeration algorithm model training is carried out by collecting data of a fan, a regulating valve, dissolved oxygen, ammonia nitrogen and the like, dynamic response can be carried out on a training result biochemical pool aeration link according to the inlet water quality and water quantity of a sewage treatment plant and the water quality and water quantity of a water outlet of the sewage treatment plant, and stable process indexes are achieved through aeration according to needs.

To provide an air-conditioning control device improved in operability.SOLUTION: In an air-conditioning control device according to the embodiment, a controller 30 makes a touch panel-type display 10 display a display screen including an image 50 of a seat and an image 40 of a reference region, which when touch operation to the display screen on the display 10 has a direction from the image 40 of the reference region towards the image 50 of the seat, outputs a control command to increase air volumes of air blown from an air conditioner 20, and when the touch operation has a direction going from the seat towards the reference region, outputs a control command to decrease air volumes of air blown from the air conditioner 20.SELECTED DRAWING: Figure 1

The invention relates to an air pressure self-adaptive control method and device for a seat suspension and a computer readable medium, the seat suspension is connected with a seat body, an air spring is arranged on the seat suspension, and the method comprises the steps that in response to the situation that a passenger sits on the seat body, the air pressure self-adaptive control device is arranged on the seat body; and the air quantity of the air spring is adjusted according to the deviation between the current height of the seat suspension and the preset balance position, so that a passenger borne by the seat body moves to the preset balance position, and the air spring is in a pressure maintaining state meeting the design requirement. The air volume of the air spring in the seat suspension can be dynamically and adaptively adjusted according to the weights of different passengers, the function that one person has one air pressure is achieved, the transmission rate of vibration is effectively reduced, and the vibration reduction effect of the seat suspension, the riding comfort and stability of the passengers and the universality and environmental adaptability of a seat suspension system are improved.

The invention relates to the field of energy-saving optimization of variable-frequency fans, in particular to an intelligent energy-saving optimization method and device for a variable-frequency centrifugal fan. The method comprises the following steps: acquiring environmental monitoring parameters in a region, performing dynamic operation scene analysis, performing environmental parameter distribution change mining, and constructing a dynamic scene operation map; obtaining a manual operation log of a historical centrifugal fan, carrying out user use preference mining and equipment response matching, and constructing a personalized fan use behavior portrait; based on the dynamic scene operation map and the personalized fan use behavior portrait, fan use rule mining in the building is carried out, fan operation demand prediction is carried out, and a real-time fan load demand map is generated; real-time operation parameters of the centrifugal fan are collected, principal component dimension reduction analysis and self-adaptive feature coding are carried out, and a fan real-time operation condition matrix is constructed. Fine energy efficiency control is achieved, the energy consumption needed by unit air volume is remarkably reduced, and the energy-saving efficiency of the draught fan and the user experience are improved.

The invention provides an intelligent control method and system for air purification equipment. According to the method, multi-dimensional environment data, including pollutant three-dimensional space data captured by air purification equipment, real-time airflow velocity and concentration distribution, in an open type pollution environment are obtained, a pollutant distribution thermodynamic diagram is generated, and the multi-dimensional data and the thermodynamic diagram are jointly coded to form a pollution concentration gradient map. Meanwhile, a historical control strategy data set is collected, cross-environment matching is carried out on the historical control strategy data set and the atlas, and diversion control characteristics associated with the pollutant diffusion direction are extracted; on the basis of the mapping relation between the characteristics and the atlas, a dynamic flow guide parameter set is determined, an intelligent control instruction of the air purification equipment is finally generated, and directional airflow disturbance and air distribution optimization control over the high-concentration area are achieved. According to the technical scheme, the intelligent control efficiency and precision of the air purification equipment can be improved.

The invention discloses a body dryer which comprises a shell, a first circuit board and two air channels are connected in the shell, the air channels are located on the side face of the first circuit board, air inlets are formed in the front end and the rear end of the shell, the two air inlets are communicated with one ends of the two air channels respectively, two assembly openings matched with the other ends of the two air channels respectively are formed in the shell, and the two assembly openings are communicated with the first circuit board. The two assembly ports are located at the two ends of the same side wall of the shell respectively, the other end of the air channel is connected with the corresponding assembly port in a sealed mode and provided with a plurality of air outlets, and a filter, a motor, a main control board and a heater are connected into the air channel and sequentially distributed from the end, communicated with the air inlet, of the air channel to the other end of the air channel. The main control board is electrically connected with the motor, the heater and the first circuit board, and a touch panel and a power line which are electrically connected with the first circuit board are arranged outside the shell. The drying device has the beneficial effects that the drying speed is increased while the air volume is increased.

The invention discloses a small waste incineration full-automatic control system and method, and particularly relates to the technical field of solid waste treatment.The method comprises the following steps that waste throwing is recognized through infrared induction, a preheating device is started to heat a combustion chamber, and the heating intensity is adjusted in real time; when the temperature reaches a preset threshold value, the air volume, the feeding time and the combustion time are controlled according to the garbage type, and stable combustion is achieved; the concentration of carbon monoxide, nitric oxide and particulate matter in tail gas is monitored in the whole process, and combustion parameters are automatically adjusted when the emission limit value is close; after combustion is finished, slag is automatically discharged according to the amount of slag; meanwhile, temperature and emission data are collected and uploaded to a remote terminal, and full-process intelligent control and environment-friendly management are achieved; the whole-process automatic control is realized, and the manual dependence is reduced; combustion efficiency and adaptability are improved through an intelligent model; an emission prediction and feedback mechanism is introduced to ensure that the tail gas is environmentally friendly and reaches the standard, and the system stability and the intelligent level are enhanced.

The invention discloses a gutter channel reinforcing structure and a vehicle. The gutter channel reinforcing structure is installed in a space formed by the front windshield lower cross beam, the front coaming and the gutter channel. The gutter channel reinforcing structure comprises a three-dimensional frame structure, and the three-dimensional frame structure extends in the X direction and the Y direction to form a spatial three-dimensional structure so as to support the space formed by the front windshield lower cross beam, the front coaming and the gutter channel from different directions, strengthen the structural strength of the air conditioner air inlet and improve the NVH condition. The three-dimensional frame structure is provided with the first opening penetrating in the X direction, the first opening corresponds to the air conditioner air inlet in the dash panel in position, the first opening penetrating in the X direction is formed through the holes of the three-dimensional frame structure, external air can smoothly enter the air conditioner air inlet from the first opening, and the air inlet amount of an air conditioner is guaranteed. In addition, the three-dimensional frame structure is based on a frame type structure of the three-dimensional frame structure, the three-dimensional frame structure can collapse inwards when collision occurs, and the passenger protection performance is improved.