8065 results about "Air volume" patented technology

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.

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 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 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 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 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 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 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 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.

The invention discloses a gradient optimization control method for an aeration system of a sewage plant. The gradient optimization control method comprises the following steps: S1, acquiring key monitoring multi-source data of the aeration system of the sewage plant in real time through an online sensor; s2, setting a security threshold value of each monitoring data to form a security constraint condition; s3, taking unit nitrogen removal energy consumption minimization as an optimization target, and constructing a comprehensive loss function fusing an energy consumption item and a water quality deviation item; s4, iteratively updating the air volume of the aeration system by adopting a self-adaptive gradient algorithm; s5, the optimized and updated air volume is issued to the aeration equipment to be executed, and water quality data and energy consumption data after execution are collected in real time, a control effect is calculated, an award signal is generated, and the award signal serves as feedback to be input into an optimization module; and S6, dynamically adjusting key parameters including the learning rate and the gradient threshold according to a feedback result. According to the invention, the energy consumption can be effectively reduced and the control precision can be improved while ensuring that the effluent stably reaches the standard, and the stable operation of the aeration system of the sewage plant under a complex working condition is ensured.

The utility model provides a Roots blower casing assembly with a countercurrent cooling flow adjustable device, which is provided with an outer casing, an exhaust pipeline is fixedly arranged at the lower end of the outer casing, an air inlet is arranged at the top end of the outer casing, and an air outlet is arranged at the bottom end of the outer casing. Counter-flow cooling holes are formed in the positions, close to the left side and the right side of the air outlet, of the lower end of the outer shell correspondingly, the two sides of each counter-flow cooling hole communicate with an inner cavity of the shell and the exhaust pipeline correspondingly, and a counter-flow air inflow adjusting block assembly is fixedly arranged in each counter-flow cooling hole and comprises a counter-flow air inflow adjusting block. The countercurrent air inflow adjusting block is located on the inner wall of the countercurrent cooling hole. The Roots blower solves the technical problems that when an existing Roots blower operates for a long time, the temperature in a machine shell of the Roots blower can be obviously increased, and especially the position, close to an air outlet, in the machine shell is prone to gas accumulation, so that the temperature of the area is too high. The Roots blower can be widely applied to Roots blowers.

The invention discloses a tunnel fire non-equilibrium control-smoke exhaust automatic adjustment control system and method, and belongs to the field of frequency conversion fan technology and tunnel fire control-smoke exhaust ventilation. The system comprises a data acquisition module, a data transmission module, a data processing and control algorithm module, a fan driving module and an emergency disposal module. The system dynamically and automatically controls the operation state of the smoke exhaust fan according to real-time fire smoke in the tunnel, and the exhaust air rate is reasonably adjusted. The abnormal environment parameters of the tunnel ceiling are collected through the sensing equipment, so that the approximate position of a fire in the tunnel and the real-time dynamic state of fire smoke spreading are obtained. And parameters such as the smoke front spreading speed and the smoke exhaust efficiency of the fan at the smoke exhaust port are obtained by applying an algorithm program to automatically control the start, stop and operation frequency of the fan. The interlocking arrangement of the emergency disposal module ensures that the other combinations are started under the condition that the exhaust air rate of one set of smoke exhaust port-smoke exhaust fan combination of the system is insufficient, fire smoke spreading is effectively controlled, and it is generally ensured that smoke is efficiently exhausted while the fire smoke is controlled within a safe range by the system.

The invention discloses an intelligent regulation and control method and system for a dust removal system of an iron and steel enterprise, and the method comprises the following steps: collecting real-time data according to a set frequency, including the operation parameters of each dust production point, the opening degree of a valve, and the operation parameters and exhaust condition parameters of a dust remover, dust conveying equipment and a fan, and dividing the data into operation variables and regulation variables; a hybrid neural network model is constructed, the hybrid neural network model comprises an LSTM-GPT-Neo backbone network, a DenseNet branch network and a meta learning feature fusion correction layer, and the LSTM-GPT-Neo backbone network fuses an LSTM architecture and a GPT-Neo architecture; inputting time sequence data to carry out model training and optimization; and inputting the data into the trained hybrid neural network model for calculation and analysis, and outputting the opening degree of the valve and the optimal operation parameters of the fan. Under the condition that the dust removal efficiency and stability are guaranteed, the electricity utilization cost of the steel plant can be remarkably reduced, and the problem of equipment loss caused by excessive dust emission or excessive air volume due to insufficient air volume is avoided.

The invention relates to the technical field of sintering production, in particular to a self-adaptive control method for an ignition process of a metallurgical sintering machine, which comprises the following steps of: acquiring key parameters such as material layer thickness, hearth pressure, sintering machine speed and air box temperature in a sintering machine system in real time, and transmitting acquired data to an ignition control model unit; and parameters such as fuel and air flow and air volume are dynamically adjusted by adopting a self-adaptive optimization algorithm, so that rapid improvement and stable control of the ignition efficiency are realized. According to the method, temperature and fuel in the ignition process are evaluated through a big data analysis technology in combination with actual requirements of the sintering process, and an ignition control strategy is optimized in combination with an intelligent regulation and control algorithm. Aiming at the complexity of an ignition process of the metallurgical sintering machine, an adaptive optimization technology is utilized to realize accurate control of the ignition process, and optimization suggestions are comprehensively given according to an ignition temperature curve and a fuel consumption condition to timely guide an operator to adjust process parameters, so that the ignition efficiency is improved, the energy consumption is reduced, and the sintering quality is improved.

The invention relates to the technical field of facility management, in particular to a prediction-driven data center thermal resistance control system which comprises an airflow response acquisition module, a thermal hysteresis offset correction module, a heat flux trend extraction module, an air volume priority allocation module and an airflow execution verification module. According to the method, through extraction and sorting of air supply trigger time and thermosensitive node temperature response differences, the temperature control sensing precision is improved, the corrected time sequence is input into the model, the prediction accuracy is enhanced, and dynamic identification of the high-heat-load area and the early warning capability are enhanced in combination with the area temperature change trend and the heat dissipation capability upper limit; the distribution sequence is sorted according to the heat flux trend and the air volume resource relation, the air volume allocation efficiency and the matching degree are improved, the temperature change trend is compared after execution, the adjusting effect reliability is improved, a data closed loop with response recognition, trend extraction, resource sorting and feedback verification as the core is constructed in the whole process, and the initiative and stability of system heat management are enhanced.

The invention discloses an intelligent prediction method and system for mine air volume demand. The method comprises the steps that S1, a multi-source sensor is deployed to collect mine air volume demand state data; s2, constructing an intelligent flow state evolution model based on the mine required air volume state data, and obtaining optimal optimization parameters through the intelligent flow state evolution model; s3, a dynamic graph network is constructed based on the mine air flow environment, the dynamic graph network and the optimal optimization parameters are combined for mine air flow spatio-temporal evolution modeling, and optimal sudden change state data in the mine air volume demand data are captured according to the modeling result; and S4, introducing a dynamic convolution kernel deformation mechanism to optimize the ontology network based on the deep space-time convolution network, taking the optimal sudden change state data as the input of the deep space-time convolution network, outputting optimal prediction strategy data, and significantly improving the feature extraction efficiency and prediction precision of the model for different sudden change types such as gas emission and fan faults.

The invention discloses an optimization control method and system for an ultra-large fan intelligent speed regulator, and relates to the technical field of fan intelligent control, and the method comprises the steps: obtaining the current operation environment parameters of a fan, including but not limited to a wind speed signal, a motor input current, a voltage, a power factor, a rotating speed, an environment temperature and atmospheric pressure; monitoring whether the wind speed fluctuation amplitude exceeds a set threshold or not in a continuous sampling period; judging whether the current system enters a critical hysteresis zone state or not, wherein the critical hysteresis zone state is a working condition when the wind speed data of the sensor does not have stability and fan output has current fluctuation abnormity and a differential pressure rapid change trend; when the system enters a critical hysteresis zone state, the collected wind speed signal is paused as a speed regulation basis, an air volume estimation model based on current, voltage, rotating speed, temperature, humidity and air pressure is constructed, and equivalent air volume is output as a pseudo feedback signal; the problem that the fan speed regulation accuracy and the system stability are reduced in the plateau low-pressure environment is solved.

The invention provides an intelligent adjustment method for distributed air treatment equipment, and belongs to the technical field of air treatment equipment, and the method comprises the steps: inputting a personnel distribution image into an airflow field reconstruction model based on a graph neural network, outputting three-dimensional space flow field distribution data, calculating a personnel intensity index, and predicting an average thermal sensation index value; an air supply adjustment double-layer game model is established based on the data, the air supply angle and the air supply speed of an electric side supply nozzle and the air supply quantity of a lower air supply outlet are solved, an actuator is controlled to adjust air supply parameters, and the target air outlet temperature and the refrigerant flow of the heat exchanger are calculated through a thermodynamic entropy production minimization heat exchange optimization algorithm; and feedback correction is performed according to the actually predicted average thermal sensation index deviation to form closed-loop control, so that the technical problem that the distributed air treatment equipment is difficult to adjust the air supply parameters in real time according to the personnel distribution dynamic change so as to ensure the thermal comfort and the energy efficiency at the same time is solved.

The invention relates to a control method for linkage of multi-source dust treatment and dust removal in a closed underground space. The control method is applied to the dust removal system. The method comprises the following steps: firstly, performing three-dimensional dynamic simulation on an airflow field in a closed underground space based on a computational fluid mechanics model to obtain flow field data output by the three-dimensional dynamic simulation; then, based on the flow field data, isolation and sealing control is performed on the source of dust in the underground space. And then the operation area is divided into a plurality of functional areas, and the air volume of the independent air draft pipeline system of each functional area is determined. Then, the dust is guided to be concentrated towards a suction area in the multiple functional areas through an air flow organizing device. Finally, multiple pieces of sensor data of the multiple functional areas are collected according to the sensors of all the functional areas, and big data analysis is carried out based on the multiple pieces of sensor data so as to control the dust removal system. According to the invention, dust in the closed underground space can be efficiently and reliably controlled and treated.

The invention relates to the technical field of waste gas treatment, and particularly discloses a dynamic management method and system for industrial waste gas treatment, and the system comprises a region division module which is used for dividing an adsorption bed layer in adsorption equipment into a plurality of monitoring regions with similar sizes in a waste gas treatment process, by combining waste gas data at a waste gas outlet for coupling analysis, high-quality real-time waste gas concentration data can be obtained after coupling treatment on the basis of diversified data, and then the concentration of the waste gas is determined based on the data and state data of adsorption equipment in the waste gas treatment process. The real-time adsorption saturation of the adsorption equipment can be accurately analyzed, and the data reflects the adsorption saturation of the current activated carbon adsorption bed layer, so that the waste gas collection air volume can be optimized by dynamically adjusting the waste gas collection air volume through the air speed adjusting module subsequently based on the data, and the desorption of attachments is accelerated; the waste gas treatment effect is improved.

A handheld fan, comprising an air supply part and a handheld part, wherein the air supply part comprises a fan housing and a fan assembly arranged in the fan housing; the fan housing comprises a cover body, an air outlet accessory arranged at a front end of the cover body, a rear air inlet accessory arranged at a rear end of the cover body, and side air inlet accessories arranged at both sides of the cover body; the fan assembly is mounted in the cover body, and its air outlet is connected to the air outlet accessory. The invention has a reasonable structure, beautiful shape, high ornamental value, compact structure, easy operation, and multi-faceted air inlet, which provides sufficient air volume for the high-speed running fan, so that the handheld fan maintains high-performance operation and improves the user experience.

According to the intelligent monitoring and regulating method of the pneumatic conveying system, through real-time data monitoring and intelligent regulating of the pneumatic conveying system, online dynamic optimization of energy consumption in the pneumatic conveying process is achieved, and it is ensured that the pneumatic conveying system stably operates in the lowest energy consumption interval; through real-time monitoring and real-time prediction of the pneumatic conveying system, active early warning is performed before the pneumatic conveying pipeline has abnormal working conditions (such as pipe blockage and sudden pressure drop change), and meanwhile, the pneumatic conveying system improves the air volume or controls a rotary feeding valve of the pipeline to reduce the feeding amount, so that the pneumatic conveying pipeline is prevented from being blocked; the stability and safety continuity of the pneumatic conveying system are guaranteed; the system is low in model construction cost, high in prediction and judgment speed, free of dependence on a pre-training model, wide in material transportation range and capable of conducting mode switching adjustment according to the characteristics of different seasonal climates, the model weight can be updated in real time during operation, the generalization ability of the monitoring regulation and control method is remarkably improved, and adaptability is high.

The invention discloses a condensation-free efficient heat exchange control method and system for a full-premixing water heater, and the method comprises the steps: collecting the multi-source information, such as air inlet temperature, humidity, gas flow, flue gas oxygen concentration and wall temperature, in real time, calculating a predicted dew point based on a dynamic dew point prediction model, and setting a dynamic safety boundary; the condensation risk is judged by comparing the wall temperature with the safety boundary, and active intervention is carried out in a staged cooperation mode that fuel gas and air volume are continuously adjusted firstly and then a partial combustion zone sectioning valve is rapidly turned off; the system comprises a main controller, a mesh-shaped infrared radiation burner, a sectional valve assembly, a gas proportional valve, a frequency conversion fan and related sensors. According to the invention, the system runs close to the condensation boundary through intelligent control, and the advantage of high operation heat efficiency is realized on the premise of ensuring high reliability.

The invention discloses a ventilation control system and method based on the Internet of Things, and relates to the technical field of environment control and regulation, and the system comprises an environment data collection module, a central control module, a ventilation execution module, a communication module and a user interaction module. Temperature, humidity, carbon dioxide concentration and PM2.5 concentration are monitored in real time through the environment data acquisition module, the central control module calculates ventilation demand intensity according to a ventilation demand function, and the operation frequency and air volume output of ventilation equipment are dynamically adjusted through a formula, so that a set environment target value is met. The communication module is used for remotely transmitting data and instructions, and the user interaction module provides real-time data display and parameter adjustment functions. The system further comprises an energy-saving mode, and when the ventilation requirement is lower than a set threshold value, the operation frequency of the equipment is reduced so as to reduce energy consumption. In addition, the system has fault detection and alarm functions, and equipment abnormity is judged by monitoring operation parameters and a user is notified in time.