7092results about "Efficient regulation technologies" patented technology

The invention relates to the technical field of air conditioner energy-saving operation control, and discloses a central air conditioner energy-saving operation control method and system. The method comprises the following steps: acquiring and processing data through a temperature and humidity sensor to obtain a temperature and humidity distribution index; calculating load values according to the indexes and the personnel density to form a distribution diagram; regulating and controlling cold and heat source equipment according to the distribution map to obtain operation parameters; adjusting the water pump fan based on the parameters to form balance data; adjusting the end equipment according to the data to generate a control instruction; and the system state is adjusted in real time according to instructions and comfort feedback to realize energy-saving operation. The problem of energy waste caused by decentralized control of subsystems of a traditional central air conditioning system is solved. By constructing a complete closed-loop control system from environmental perception, load prediction to equipment regulation and control, the operation efficiency of the system under partial load conditions is improved. And meanwhile, refined control is achieved according to different requirements of different areas, and energy consumption is reduced to the maximum extent on the premise that the comfort level of the user is guaranteed.

The invention discloses an air conditioning system and a control method thereof. The air conditioning system comprises an air conditioning outdoor unit; the air conditioning outdoor unit comprises a compressor, an outdoor heat exchanger and an outdoor fan; the outdoor fan is at least provided with a first working mode and a second working mode; and when the outdoor fan runs in the first working mode, a wind gear is higher than that when the outdoor fan runs in the second working mode. The control method comprises the following steps that S1, the air conditioning system is controlled to enter arefrigeration mode; S2, according to the outdoor environment temperature and / or preset hours, the outdoor fan is controlled to enter the first working mode or the second working mode. According to the control method of the air conditioning system, the air conditioning system can control the outdoor fan to enter the first working mode or the second working mode according to the outdoor environmenttemperature and / or the preset hours, and when the outdoor fan runs in the second working mode, the wind gear of the outdoor fan is lowered, so that the use reliability the air conditioning system cannot be affected, and the requirement of a user on comfortableness can be met.

A remote test apparatus is configured to simulate an environment of at least one remotely located room and configured to receive at least one air sample from the at least one remotely located room. The apparatus includes a sealed enclosure forming an interior cavity and including an inlet in connection with the at least one remotely located room and an outlet in connection with a sample collection unit. The sample collection unit is configured to communicate the at least one air sample from the remotely located room at a first flow rate. The apparatus further includes at least one sensor disposed in the interior cavity and at least one air transfer unit configured to transfer test air from the interior cavity of the sealed enclosure to the at least one sensor at a second flow rate.

An IAQ sensor module includes: a sensor configured to measure an amount of an item in air, the item being one of particulate matter, volatile organic compounds, and carbon dioxide; a minimum module configured to selectively store the amount of the item as a minimum value of the amount when a mitigation device has been on for at least a predetermined period, the mitigation device being configured to decrease the amount of the item in the air when on; a storing module configured to selectively store the minimum value as an initial minimum value; an offset module configured to determine a drift offset for the sensor based on a difference between the minimum value and the initial minimum value; and an adjustment module configured to determine an adjusted amount of the item in the air at the IAQ sensor module based on the amount and the drift offset.

The invention discloses an airport terminal fresh air energy-saving optimization control method based on passenger space-time distribution prediction, and relates to the technical field of intelligent energy saving, and the method comprises the following steps: S100, collecting the real-time position and moving speed of a passenger, constructing a passenger space-time distribution change model, and forming a prediction basis of air pressure dynamic adjustment; and S200, based on the passenger space-time distribution change model, calculating air pressure gradient distribution of each functional area of the terminal, identifying local positive pressure and adjacent negative pressure areas, establishing a micro pressure difference grading early warning index, and determining a ventilation adjustment demand. By dynamically predicting passenger distribution, adjusting air supply and static pressure in real time and combining pressure difference early warning, airflow monitoring and countercurrent sealing control, airflow order is ensured, pollution gas is prevented from flowing backwards, and air quality and comfort are guaranteed. Based on a control model and an energy-saving strategy library of full-process data training, intelligent self-adaptive adjustment of the fresh air system is achieved, ventilation safety and energy efficiency are improved, and terminal service experience and operation efficiency are optimized.

The invention relates to the technical field of air-cooled air conditioner control, in particular to an air-cooled air conditioner control method and system based on deep learning, and the method comprises the following steps: obtaining sensor readings of indoor temperature, outdoor temperature and humidity and Wi-Fi channel state information, judging the position number and the activity state of personnel, calculating the position distribution of the personnel in combination with a time window, and calculating the position distribution of the personnel. And integrating to obtain a multi-dimensional environment and load state vector. According to the method, indoor and outdoor temperature, humidity, Wi-Fi channel state information and personnel position distribution and activity states are integrated through a multi-dimensional environment and load state vector, the personnel density change trend is dynamically calculated through a time window, the comprehensiveness and real-time performance of environment perception are enhanced, and high-dimensional data support is provided for control decision making. And a basic comfort degree deviation index is constructed based on the temperature deviation value and the humidity deviation value, and a multi-target performance index set is generated in combination with the wind speed value, the compressor start-stop frequency and the energy consumption power.

The invention relates to the technical field of ward air purification systems, and discloses a ward air purification system which comprises an environment sensing module, a purification path planning module, a filter unit configuration module, a purification execution module, a dynamic adjustment module, a state monitoring module and a feedback control module. The environment sensing module obtains ward space information to construct an air flow topology; the purification path planning module calls air quality data to label the topology; the filter unit configuration module sets purification nodes and adjustment intervals; the purification execution module implements basic purification; the state monitoring module analyzes data to determine operation state characteristics, and the feedback control module generates monitoring records and performs visual feedback. The system can accurately perceive the air quality of the ward, scientifically plan the purification path, dynamically adjust the purification strategy, effectively improve the air quality of the ward and guarantee the health of patients and medical staff, and has high practical value.

The invention discloses an energy regulation and control method for a digital intelligent low-carbon building, and relates to the technical field of energy intelligent control, and the method comprises the following steps: constructing a multi-source feed-forward sensing link, unifying data collection timestamps, fusing people counting data, access control record data and wireless local area network probe data, and obtaining a multi-source feedback sensing link; passenger flow step fingerprints capable of reflecting instantaneous passenger flow change characteristics are generated and used for feedforward input of follow-up dynamic response; and performing crowded wave dynamic tracking based on passenger flow step fingerprints, analyzing a crowd movement track in combination with feedforward input, positioning a high-concentration air quality risk area, outputting a risk arrival time and intensity curve, and generating a feedforward ventilation time history input prediction link. According to the method, people flow changes are sensed and predicted through multi-source feedforward, a ventilation strategy is actively deployed, self-optimization is achieved in combination with feedback correction and closed-loop evaluation, and energy consumption is reduced and the service life of equipment is prolonged while air health and safety are guaranteed.

The invention discloses a secondary network heat supply temperature control method and device based on a negative pressure water mixing technology, and relates to the technical field of secondary network heat supply control. The secondary network heat supply temperature control method and device based on the negative pressure water mixing technology comprises the steps that S1, operation data, structure steady state data and thermal environment data in a current heat supply task are collected, and a standardized heat supply working condition data set is constructed after preprocessing; s2, local hydraulic fluctuation characteristics are evaluated, and the water mixing proportion, the water supplementing flow and bypass path configuration are dynamically adjusted; s3, jointly analyzing the temperature difference of supply water and return water, the heat deviation and the valve state, and driving water mixing adjustment and path optimization; s4, evaluating adjustment intensity and heat response deviation, and realizing abnormal disturbance response and adjustment strategy correction; and S5, recording negative pressure, uneven heat and cold and response data for subsequent diagnosis and steady state identification. The problems that a traditional water mixing control means is difficult to effectively inhibit pressure fluctuation of the water return end, local negative pressure is easily formed, and local energy waste and uneven heat distribution are caused are solved.

The invention discloses an outdoor workstation air quality monitoring and intelligent ventilation system and method, and belongs to the technical field of environment monitoring and intelligent ventilation control. The system is composed of an environment sensing module, an intelligent control unit and a ventilation execution device. And the environment sensing module realizes pollutant concentration field reconstruction through a multi-dimensional data fusion algorithm. The intelligent control unit constructs a dynamic ventilation model based on an improved fuzzy PID algorithm, and generates an optimal ventilation strategy in combination with meteorological prediction data and workstation structure parameters. And the ventilation execution device adopts a modular design to realize directional air supply and pollutant blocking. The method comprises four steps of real-time environment data acquisition, dynamic risk assessment, ventilation parameter optimization and execution mechanism linkage control, and remote intelligent regulation and control are realized through cooperation of edge computing and a cloud platform. According to the scheme, a passive response mode of a traditional ventilation system is broken through, and the technical advantages of accurate pollutant tracing, dynamic optimization of ventilation efficiency and intelligent adjustment of equipment energy consumption are achieved.

The invention relates to the field of coal mine exhaust control, in particular to a coal mine exhaust control method and device based on environmental perception. The method comprises the following steps: acquiring multi-dimensional monitoring signals based on environment sensing sensors at multiple positions of a mine, performing distributed sensing marking, and constructing a global gas concentration sensing graph; the method comprises the following steps: acquiring position information of operating personnel in real time based on a miner positioning sensor, performing short-time movement prediction on the operating personnel, and generating a miner movement prediction path; obtaining a coal mine internal structure chart, and carrying out average oxygen consumption rate budget and instantaneous oxygen supply demand calculation based on the miner movement prediction path to obtain oxygen supply demand indexes of each unit; and according to the oxygen supply demand index of each unit, intelligent exhaust power calculation adjustment is carried out, and a conventional exhaust control strategy is constructed. Ventilation efficiency of the coal mine area is improved, emergency blast treatment is carried out under the risk condition, the risk problem response capacity is greatly improved, and safety of the coal mine area is enhanced.

A method and system for controlling a heating, ventilation, and air conditioning system (HVAC) in a building based on adaptive model predictive control (MPC) is disclosed, and belongs to the technical field of intelligent building adaptive control. The method may include: acquiring operation data of the HVAC under different working conditions, and performing preprocessing on the acquired data; calculating a marginal fitness measure (MAD) of each data point for each class based on the preprocessed data, and calculating a fitness measure of each data point for each class by combining MADs of all descriptors to obtain a global fitness measure (GAD); setting a GAD threshold, and classifying current operation states of the system according to classification rules; and adopting adaptive control strategies for different operation states since model parameters of each class are fixed after classification.

The invention relates to the technical field of air conditioners, particularly provides an air conditioner control method and an air conditioner, and aims to solve the problem that in the prior art, when the indoor environment temperature of an air conditioner is close to the set temperature, the indoor environment temperature cannot be accurately controlled. In order to achieve the purpose, the control method of the air conditioner comprises the steps that an indoor environment temperature value is obtained at intervals of a set duration value; determining a first temperature difference value according to the operation mode of the air conditioner, the set temperature value and the indoor environment temperature value; according to the operation mode, the current indoor environment temperature value and the last indoor environment temperature value, a second temperature difference value is determined; and based on the first temperature difference value and the second temperature difference value, the numerical value of at least one of the compressor frequency, the outdoor fan rotating speed and the indoor fan rotating speed is adjusted. The first temperature difference value and the second temperature difference value are comprehensively considered, the frequency of the compressor, the rotating speed of the outdoor fan and the rotating speed of the indoor fan are adjusted, the temperature control accuracy is improved, meanwhile, repeated temperature change is avoided, and energy consumption is reduced.

The invention relates to the technical field of intelligent building environment control and energy management, and provides a building ventilation regulation and control method and equipment based on multi-target space-time analysis in order to solve the problems of high energy consumption, uncontrollable infection risk and response lag in the prior art. Original data and the spatial-temporal features are combined into a multi-modal fusion data set, an air quality change rule is learned based on an LSTM model, a future air quality state matrix is output, a multi-target dynamic optimization function is constructed, an optimal regulation and control strategy of a fan, fresh air and purification equipment is generated, and the optimal regulation and control strategy of the fan, the fresh air and the purification equipment is obtained. The response speed is improved while energy consumption is reduced and infection risks are controlled, and the system is particularly suitable for public places such as hospitals, schools and nursing homes with high requirements for indoor gas environments.

The invention discloses an exhaust fan dynamic control method and system based on ventilation and exhaust adjustment, and relates to the technical field of data processing.The method comprises the steps that exhaust fan nodes are obtained, and a main trigger area and an auxiliary trigger area of the ith exhaust fan node are obtained; acquiring a preset time period, acquiring a processing window, acquiring a specified concentration data sequence of the ith exhaust fan node, and acquiring current specified concentration data of the ith exhaust fan node; acquiring an incremental trend value, an auxiliary demand value and a main demand value; if the incremental trend value exceeds a first preset threshold value, obtaining a first control strategy of the ith exhaust fan node according to a main demand value of the ith exhaust fan node; and if the progressive increase trend value does not exceed the first preset threshold value and the correction value exceeds a second preset threshold value, obtaining a second control strategy of the ith exhaust fan node according to the auxiliary demand value of the ith exhaust fan node. The method has the advantages of progressive pre-control, cooperative dynamic control and energy consumption reduction.

The invention belongs to the technical field of intelligent household appliances, and particularly relates to a wind speed control method, device and equipment of an intelligent household appliance and a computer storage medium. According to the method, the expiration temperature, the cold outlet temperature and the environment temperature of the intelligent household electrical appliance are obtained, and a first temperature relation and a second temperature relation are generated based on the expiration temperature, the cold outlet temperature and the environment temperature; acquiring a preset energy-saving condition of the intelligent household electrical appliance, and judging whether the first temperature relation and the second temperature relation meet the preset energy-saving condition or not; if the first temperature relation and the second temperature relation meet the preset energy-saving condition, the intelligent household electrical appliance is controlled to enter a wind speed adjusting mode, and the wind speed of the intelligent household electrical appliance is flexibly adjusted. According to the method, the control logic of wind speed regulation of the intelligent household electrical appliance is optimized, the noise generated when the intelligent household electrical appliance is used is reduced, intelligent regulation of the rotating speed of the fan is realized under the condition that the operation of the intelligent household electrical appliance is not influenced, the operation energy consumption of the intelligent household electrical appliance is reduced, and the use experience of a user is improved.

The invention belongs to the technical field of intelligent control, and provides a double-fan parallel operation control system and method based on dynamic flow balance, and the system comprises a flow guide assembly, an electric control valve, a flow sensor and a control assembly; the flow sensors are used for collecting air flow data at the inlets and outlets of the corresponding fan branches and sending the air flow data to the control assembly; the control assembly is used for inputting the air flow data into the three-dimensional dynamic fluid mechanics model to obtain a flow deviation value between the current air flow and the target air flow, inputting the flow deviation value into the control decision model to obtain a control instruction, and issuing the control instruction to the flow guide assembly and / or the electric adjusting valve. And the flow guide direction of the flow guide assembly and / or the opening degree of the electric control valve are / is controlled. According to the scheme, the three-dimensional dynamic fluid mechanics model and the control decision model can be combined, the accurate control instruction is obtained, and the accuracy, reliability and convenience of the double-fan parallel operation control link are improved.

The invention provides a ventilation system optimization method and system based on the air quality of an industrial aquaculture workshop, and relates to the technical field of environment regulation and ventilation system.The method includes the steps that aquaculture workshop gas is analyzed through an infrared spectrometer, the spectral intensity of the characteristic absorption wavelength of a target pollutant is obtained, and then the accurate concentration of the pollutant is analyzed according to the spectral intensity; and calculating a ventilation parameter reference value and controlling a fan to adjust the air supply amount. An air treatment device in the ventilation system can determine the optimal working time according to the air supply amount so as to decompose pollutants and continuously monitor the concentration of the pollutants at the inlet and the outlet of the device. Subsequently, the air quality deterioration index is predicted by analyzing the concentration change trend, and the current overall purification efficiency is calculated. When the purification efficiency deviates from the range or the deterioration index exceeds the threshold value, the running state of the device is dynamically adjusted and fed back to the system, self-adaptive optimization of the ventilation system of the industrial aquaculture workshop can be achieved, and it is guaranteed that the workshop air quality is stable and the purification efficiency reaches the standard.

The embodiment of the invention discloses a defrosting control method and device, an air conditioner and a computer readable storage medium, and relates to the technical field of air conditioners. The defrosting control method comprises the steps that the current of a draught fan is obtained; acquiring a plurality of current characteristics of the current; acquiring environment temperature and environment humidity; determining a dynamic current threshold according to the environment temperature and the environment humidity; based on the multiple current characteristics, the environment temperature, the environment humidity and the dynamic current threshold value, the frosting probability is determined; and when the frosting probability is larger than a frosting probability threshold value, defrosting control is carried out. Therefore, according to the scheme, whether frosting occurs or not can be accurately judged, and accurate defrosting control is achieved.

The invention relates to the technical field of mining local fan air duct air volume self-adaptive adjusting equipment, in particular to a mining local fan air duct air volume self-adaptive adjusting device. According to the technical scheme, the self-adaptive adjusting device for the air volume of the air duct of the mining local fan comprises a fan body, a radiator, an installation support, an electric adjusting air door, an air storage bin, the air duct, an environment detection module, an air speed detection module and a control module, the radiator is arranged on one side of the fan body, and the installation support is arranged on the bottom face of the fan body; an electric adjusting air door is arranged on one side of the ventilator main body; the environment sensing module is arranged, triple redundancy design is adopted, when the gas concentration is abnormal, whether the gas concentration is a spontaneous combustion symptom or not can be discriminated in combination with temperature data, or the coal rock collapse risk is pre-judged through the dust concentration change, and the safety interlocking response time is shortened.

The utility model provides an air supply device and an air conditioner, and the air supply device comprises fan blades which are rotatably arranged; the volute tongue structure comprises a volute tongue body and a first air guide plate connected with the volute tongue body, the first air guide plate is located at the end, close to the fan blades, of the volute tongue body, and the first air guide plate is movably connected with the volute tongue body so as to adjust the distance between the first air guide plate and the fan blades; the detection device is used for detecting the air supply speed at the air outlet of the air supply device; and the control device is in signal connection with the detection device, and the control device controls the first air guide plate to move according to the air supply speed so as to change the distance between the first air guide plate and the fan blades. According to the air supply device, the variable baffle is provided, the distance between the volute tongue and the fan blades can be changed according to different air speeds, and the technical problem that in an existing air conditioner in the prior art, due to the fact that the gap between the volute tongue and the fan blades is fixed, the air outlet efficiency of the air conditioner is low is solved.

A valve element rotor assembly of the electric valve comprises a valve shaft assembly, a valve element assembly, a first elastic piece, a second elastic piece and a gasket component, the valve shaft assembly comprises a first valve shaft through hole part, a second valve shaft through hole part and a containing part, the first elastic piece and the gasket component are located in the containing part, the valve shaft assembly further comprises a first valve shaft abutting part, a second valve shaft abutting part, a third valve shaft abutting part and a fourth valve shaft abutting part, and the first elastic piece abuts against the second valve shaft abutting part and the gasket component. The gasket component can abut against the third valve shaft abutting part; the valve element assembly is arranged on the valve shaft assembly in a penetrating mode and penetrates through the gasket component hole part, the valve element assembly comprises a first valve element abutting part, a second valve element abutting part and a third valve element abutting part, the first valve element abutting part can abut against the first valve shaft abutting part, the valve element assembly is sleeved with the second elastic piece, and the second elastic piece abuts against the fourth valve shaft abutting part and the third valve element abutting part. The second valve element abutting portion can abut against the gasket component.

The utility model provides an electronic expansion valve which comprises a first connecting pipe, a silencing part, a valve seat part and an adapting part, the valve seat part and the adapting part are connected with each other, the adapting part is respectively connected with the valve seat part and the first connecting pipe, the adapting part is provided with a containing cavity, and the silencing part is installed in the containing cavity in a limited mode. By the adoption of the scheme, the furnace welding object of the first connecting pipe is converted from the valve seat part to the switching part through the switching part, when the switching part and the first connecting pipe are subjected to furnace welding, the silencing part located in the containing cavity is separated from the first connecting pipe through the switching part, the first connecting pipe does not directly abut against the silencing part, welding flux generated during furnace welding cannot permeate into the silencing part, and the silencing effect is good. And the noise reduction effect of the noise reduction part and the flow capacity of the electronic expansion valve are ensured. And on the other hand, independent off-line installation of the switching part and the silencing part can be achieved, the production takt is reduced, part standardization is improved, the falling risk in the part turnover process is avoided, and the machining and installation efficiency of the electronic expansion valve is improved.

An electric control box is provided. The electric control box includes a box body, a circuit board, and a heat sink. The box body has a chamber, and an air inlet and an air outlet that are in communication with the chamber. The chamber has an air duct, and the air inlet and the air outlet are in communication with each other via the air duct. The box body is configured to allow air to be introduced into the air duct from the air inlet and to flow out of the air outlet. The circuit board is disposed in the chamber. The heat sink is disposed at the circuit board and located in the air duct.

The utility model provides a valve seat structure and an electronic expansion valve, the valve seat structure comprises a valve seat part and a switching part, the switching part and the valve seat part are respectively used for switching a first connecting pipe and a second connecting pipe, the valve seat part is provided with a limiting cavity, and an opening of the limiting cavity is located on the bottom wall of the valve seat part; at least part of the switching part is arranged in the limiting cavity in a penetrating mode, and the switching part and the valve seat part form an annular welding seam at the opening of the limiting cavity. According to the technical scheme, furnace welding switching of the first connecting pipe is achieved through the switching part, the welding position of the switching part and the valve seat part is limited to the bottom of the valve seat part, and the situation that when the welding position is located on the side of the valve seat part, laser welding and other welding are prone to being interfered by the second connecting pipe, and therefore welding is not facilitated is avoided; welding of operators and realizability of corresponding welding equipment are facilitated, and convenience and reliability of welding are improved.

Wireless communications are described. A wireless device may be configured to transmit a first signal via a first cell group that may overlap in time with a second signal via a second cell group. The wireless device may adjust a signal transmission power of at least one of the first signal or the second signal. Additionally or alternatively, the wireless device may drop at least one of the first signal or the second signal. Adjusting and / or dropping at least one of the first signal or the second signal may be based on the overlap in time of these signals satisfying a duration threshold and a total power to transmit the first signal and the second signal exceeding a power threshold.

The invention discloses an AI-based variable frequency heat pump control method and a control system thereof. The method comprises the following steps: S1, data acquisition; s2, data preprocessing; heat demand load prediction and operation parameter dynamic optimization are achieved through the AI model, the response speed of the environment temperature and heat demand changes is effectively increased, the parameter matching precision is effectively improved, the problems that traditional control response is lagged, and adaptability is poor are effectively solved, and the control accuracy is improved. The energy consumption of the system can be reduced under complex working conditions such as extreme temperature and sudden load change through a reinforcement learning algorithm, and the self-adaptive energy-saving capability of a multi-element scene is remarkably improved; meanwhile, based on a fault diagnosis scheme of a CNN and Transform fusion model, the fault diagnosis accuracy is effectively improved, the false alarm rate is effectively reduced, the defects of traditional threshold judgment are overcome, and in addition, the method can adapt to working condition changes and equipment aging characteristics for a long time in cooperation with model self-learning and parameter online updating functions.

The invention discloses a defrosting control method and system based on the COP attenuation rate, an air conditioner and a medium. The method comprises the steps that the rotating speed of an indoor fan, the temperature of an indoor coil pipe and consumption power are collected; according to the rotating speed of the indoor draught fan, the temperature of the indoor coil pipe and the consumption power, a COP mean value and a COP maximum value are obtained through calculation; according to the COP mean value and the COP maximum value, calculating to obtain a COP attenuation rate; and according to the COP attenuation rate, the air conditioner is controlled to enter a first-stage frost restraining mode, a second-stage frost restraining mode or a reversing defrosting mode. The defrosting opportunity can be accurately determined, the problem that hysteresis exists in defrosting and the comfort degree of a user is affected is solved, and the method can be widely applied to the technical field of air conditioners.

The invention discloses a fresh air system energy-saving regulation and control method based on communication base station load linkage. The method comprises the steps that load parameters and indoor and outdoor environment parameters of a communication base station are obtained in real time; based on the load parameters and the indoor and outdoor environment parameters, a target operation mode of the fresh air system is determined through a preset parameter threshold value; according to the target operation mode, the target air volume is calculated based on the load parameters and the indoor and outdoor environment parameters; based on the target air volume, control operation parameters of the fresh air system are generated; and in the operation process of the fresh air system, operation data of the fresh air system are recorded in real time, and the target air volume is subjected to self-adaptive dynamic adjustment according to the operation data of the fresh air system. According to the method, the energy-saving effect and the operation stability of the fresh air system can be improved by realizing multi-dimensional cooperative regulation and control based on the base station load and the environment parameters.