881 results about "Outdoor temperature" patented technology

The invention relates to the technical field of intelligent control, and particularly discloses a linkage control method for energy-saving ventilation equipment, which comprises the following steps of: acquiring indoor and outdoor temperature, indoor carbon dioxide concentration and personnel occupancy state data in real time; according to the method, deep collaborative analysis is carried out on the indoor personnel occupancy state and the deviation between the carbon dioxide concentration and a target set value, so that joint characterization of the current indoor fresh air volume regulation and control requirement is achieved, control parameters of a fresh air volume PI D controller are dynamically optimized accordingly, and a basic fresh air volume regulation instruction is calculated. On the basis, thermal disturbance introduced by fresh air is further quantified based on the outdoor and indoor temperature difference, and the thermal disturbance serves as a feedforward signal to be compensated to an air conditioner load adjusting loop, so that dynamic adjustment of the air conditioner load is achieved. In this way, cooperative control over ventilation and air conditioning systems can be achieved, the fresh air-air conditioning equipment energy consumption coupling conflict in traditional control is restrained, and therefore the building energy consumption is reduced while the indoor environment quality is guaranteed.

The invention relates to the technical field of intelligent building energy management, and particularly discloses an air conditioner load cluster optimization regulation and control method and system based on building thermal inertia modeling, and the method comprises the steps: collecting building structure parameters, building material thermophysical parameters, indoor and outdoor temperature and humidity historical data, air conditioner operation data and real-time electricity price data of a building; building a building thermal inertia model based on the collected data; inputting the collected air conditioner operation data, indoor and outdoor temperature and humidity historical data into a building thermal inertia model, and predicting air conditioner loads under different working conditions; constructing an optimized objective function, and solving the optimized objective function by adopting a genetic algorithm to obtain an optimal air conditioner load regulation and control strategy; and according to the optimal air conditioner load regulation and control strategy, the air conditioner load cluster is regulated and controlled in real time. The energy utilization efficiency can be effectively improved, the operation cost is reduced, and intelligent and refined regulation and control of the air conditioner load cluster are achieved.

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 field of factory intelligent cooling, and discloses an MPC-based large factory intelligent cooling system and a cooling control method, the system comprises a data acquisition module, an AI control module, a cooling tower control module, a cooling water pump control module and a cooling-water machine control module; the data acquisition module acquires outdoor environment temperature and humidity, cooling tower outlet water temperature, cooling water pump inlet and outlet water temperature difference and flow and water chiller operation state data in real time. The AI control module constructs a system model through real-time data, predicts and optimizes by using an MPC algorithm, and calculates optimal values of the running frequency of a cooling tower fan, the running frequency of a cooling water pump and the power of a cooling-water machine compressor by adopting sequential quadratic programming, so as to realize cooperative dynamic control of equipment in the system; the overall operation efficiency of the cooling system under the outdoor temperature and humidity change condition is effectively improved, and the overall energy consumption of the system is minimized in real time.

The invention relates to the field of smart home, and discloses a smart home environment sensing and energy-saving control system based on the Internet of Things, and the system comprises a sensing module which comprises an environment sensor unit and a human body sensor unit, and the environment sensor unit is used for collecting the indoor temperature, humidity, illumination intensity and air quality in real time; the human body sensor unit is used for detecting existence and activity conditions of indoor personnel; the Internet of Things communication module transmits data collected by the sensing module to the control module through Internet of Things communication; the energy-saving analysis module receives the data acquired by the sensing module, analyzes and processes the data, and judges whether to adjust the energy-saving strategy of each smart home according to the analysis result; the control module controls the operation state of each smart home according to the energy-saving strategy; the energy-saving strategy comprises the steps of automatically switching on and off light and air conditioning equipment according to the personnel activity condition, automatically adjusting the indoor illumination brightness according to the illumination intensity and adjusting the air conditioner operation parameters according to the indoor and outdoor temperature difference.

The invention relates to the technical field of photovoltaic inverter regulation and control, in particular to a photovoltaic inverter intelligent regulation and control method and system based on the Internet of Things, and the method comprises the following steps: setting a time window based on an illumination prediction value of a photovoltaic inverter and a real-time voltage measurement value of a grid-connected point, and carrying out the serialized calculation of the voltage in the window, and establishing an out-of-limit risk early warning. According to the invention, the time window is set based on the illumination prediction value and the grid-connected point voltage measurement value, serialized calculation is carried out on the voltage in the window, and point-by-point comparison with the voltage threshold is carried out, so that an out-of-limit risk time point can be identified in advance, and the pre-warning capability of local voltage abnormity is improved. On the basis, a voltage out-of-limit amplitude value is extracted by combining indoor and outdoor temperature information of a building and is converted into a voltage regulation requirement, and a quantifiable voltage consumption index is further formed, so that power load regulation is changed from traditional static setting to dynamic quantifiable regulation, and the accuracy of regulation response is effectively improved.

The invention relates to the technical field of constructional engineering, and discloses an intelligent ventilation and purification method and system for constructional engineering, and the method comprises the steps: 1, determining the concentration of pollutants in a building based on real-time air quality data, and calculating the required ventilation quantity meeting a preset standard; secondly, the fresh air introduction proportion is adjusted according to the indoor and outdoor temperature and humidity difference value so as to optimize energy consumption and thermal comfort balance; 3, according to the personnel distribution density, the local area air supply intensity is set, and the air circulation uniformity is ensured; fourthly, the system operation mode is regulated and controlled based on the working state of the air purification equipment, so that energy consumption is reduced, and the service life of the equipment is prolonged; the fresh air introduction proportion is intelligently adjusted by comparing indoor and outdoor temperature and humidity differences. For example, when the outdoor temperature and humidity are close to the indoor comfortable interval, the fresh air volume is increased to utilize natural cold and heat sources; when the outdoor environment is extreme, the fresh air volume is reduced, the heat recovery device is started, the air conditioner load is reduced, and energy waste is reduced.

The invention discloses a hospital public building temperature refined energy-saving regulation and control method, which comprises the following steps: establishing a refined hierarchical management architecture based on use requirements and energy use purposes of different wards; for a conventional inpatient ward, door and window opening and closing state data and ward heat state data are collected, and air conditioner operation control and door and window opening and closing state adjustment are executed based on a window magnetic control air conditioner operation model and by adopting a multi-step prediction control method; for different types of special wards, regulating and optimizing corresponding thermal equipment by adopting a multi-step prediction control method under an MPC model prediction control framework according to thermal parameters required to be controlled by the current type of ward; for outpatient wards, outpatient air conditioner output operation is optimized by adopting a multi-step prediction control method based on a cooling load prediction model according to the flow density, the temperature and the indoor and outdoor temperature difference; according to the invention, monitoring and accurate prediction of the thermal condition in the ward are realized based on the model prediction control MPC method in combination with the window magnetic switch.

An implementation of the disclosed technology provides a method that includes receiving a setpoint temperature for the building, determining an average outdoor temperature over a first predetermined time period for a location of the building, measuring a total central heating energy consumption for the building over the first predetermined time period, adding the determined average outdoor temperature and measured total central heating energy consumption to a first data set including a plurality of average outdoor temperatures and corresponding total central heating energy consumptions over a plurality of predetermined time periods having durations substantially the same as the first predetermined time period, estimating a weather independent normalized heating energy consumption for maintaining the setpoint temperature in the building based on a predetermined reference outdoor temperature and the first data set, and characterizing the heating energy consumption for heating the building based on the normalized heating energy consumption and a base temperature wherein the base temperature is the outdoor temperature at which heating is required to keep an indoor temperature minimally at the setpoint temperature and wherein the base temperature is selectively obtained by way of optimization and / or linear fit and / or distribution based approach. (1)

The invention discloses a dynamic building thermal load simulation method and device, heat supply equipment and a medium, and relates to the technical field of load prediction.The method comprises the steps that when the environment temperature changes, the first building unit area thermal load before change is determined, and the second building unit area thermal load after change is determined; determining a first heat change of the building external envelope structure and a second heat change of the building internal envelope structure caused by the environment temperature change; according to the difference value of the unit area thermal load of the first building and the unit area thermal load of the second building, the delay time is determined in combination with the heat change of the building envelope; and based on the delay time, the outdoor temperature before the delay time and the current indoor temperature are utilized to correct the unit area thermal load of the second building. By adopting the method, the calculation complexity of dynamic building thermal load simulation can be simplified, and the calculation of the delay time is more practical and operable.

The invention provides a heterogeneous building air conditioner group quick response control method based on physical information deep learning, and the method comprises the steps: 1, obtaining a real-time discrete step scheduling instruction issued by a power grid, obtaining the thermodynamic parameters and equipment inertia time constants of all building units in a heterogeneous building group, obtaining the outdoor temperature, and carrying out the real-time discrete step scheduling instruction; the solar radiation intensity and the indoor air temperature of each building unit; step 2, extracting spatial-temporal characteristics of each building unit based on a multi-head self-attention mechanism, and generating initial distribution target power of the air conditioner; 3, inputting the initial allocation target power into a pre-trained cascaded physical information neural network (PINN), and predicting power and temperature evolution tracks in a future scheduling period; 4, calculating an out-of-limit risk index of each unit, judging whether to execute a quantile risk migration strategy or not, and generating a final distribution target power of the air conditioner; and 5, calculating the transient climbing deviation between the actual aggregation power and the target power of the power grid, and carrying out deviation compensation.

The invention relates to the technical field of air conditioners, and provides a compressor frequency control method and device of an air conditioner and an air conditioning system.The control method comprises the steps that the current indoor temperature, the current compressor frequency and the current outdoor temperature are obtained; based on the current indoor temperature, the current compressor frequency and the current outdoor temperature, the next indoor temperature corresponding to the next operation stage is determined; the temperature difference value between the next indoor temperature and the preset target temperature is determined; and under the condition that the temperature difference value is larger than a preset threshold value, the operation frequency of the compressor is adjusted based on the temperature difference value and a preset temperature difference, so that the next compressor frequency is obtained. According to the method, the next indoor temperature of the next operation stage is predicted, the temperature change trend is predicted in advance, then the frequency of the compressor is dynamically adjusted by calculating the temperature difference value between the next indoor temperature and the preset target temperature, fluctuation of the indoor temperature is effectively reduced, and the comfort of a user is improved; and by optimizing the operation frequency of the compressor, the energy utilization efficiency is remarkably improved.

The invention discloses a building air conditioning system partition control method based on the KNX technology, and relates to the related technical field of building air conditioning systems.The method comprises the steps that building structure information and air conditioning system topological information are obtained based on the KNX protocol, and an air conditioning control partition set is divided; a target temperature interval is set, and global optimization of partition target temperature is carried out; according to real-time data collected by indoor and outdoor temperature sensors, the reference personnel density and a partition control target are combined, and partition control parameters of all air conditioner control partitions are initialized; and based on the personnel flow data, the air conditioner operation parameters of all the air conditioner control subareas are dynamically adjusted, and the personnel flow direction is predicted to execute prospective regulation and control. The technical problems that in the prior art, fine regulation and control are difficult to conduct according to actual requirements of different functional areas in a building, consequently, energy of an air conditioning system is wasted, and the comfort degree of a user is poor are solved, and the technical effects of reducing air conditioner energy consumption and improving the comfort degree of the user are achieved.

The invention discloses a cluster temperature control and energy consumption balance optimization control system for group air conditioners, and relates to the technical field of intelligent control, the system comprises a data acquisition module, temperature data of each indoor area and outdoor temperature change information are acquired in real time through a sensor network, and a preset temperature threshold value interval is combined to determine the temperature of each indoor area; analyzing heterogeneity characteristics of indoor temperature distribution to obtain a temperature distribution state of each area; according to the air conditioner cluster temperature control and energy consumption balance optimization control system, the operation efficiency of an air conditioner system and the comfort degree of a user can be effectively improved, and intelligent temperature management is achieved.

The invention relates to the field of household appliances, and provides a control method and device for a fresh air ventilator air conditioner and an air conditioner. The method comprises the steps that indoor and outdoor environment data and air conditioner power are obtained, and the indoor and outdoor environment data comprise indoor and outdoor air quality data and indoor and outdoor temperature data; according to the indoor and outdoor environment data and the power of the air conditioner, the optimal control power of the fresh air ventilator and the optimal control power of the air conditioner are determined in combination with a multi-target optimization model; and according to the optimal control power of the fresh air ventilator and the optimal control power of the air conditioner, the corresponding fresh air ventilator and the air conditioner are controlled to operate. According to the method, the problem that multiple environmental factors cannot be synthesized for dynamic adjustment based on control of a fixed threshold value and a single parameter is solved, the energy efficiency and the indoor comfort degree are considered at the same time by integrating the environmental data, the lowest energy consumption scheme meeting the requirements of environmental health and room temperature change is found out, and cooperative control of the fresh air ventilator and the air conditioner is achieved.

The invention discloses heat supply equipment based on computing power and a control method, and belongs to the technical field of heat supply control. The method comprises the following steps: acquiring heat supply data, and performing anomaly detection on the heat supply data; when the heat supply data is not abnormal, the distribution condition of the hot water in the heat supply pipe network is analyzed, and a flow analysis result and a pressure analysis result are obtained; optimizing the operation parameters of the heat supply network, and calculating the heat recovery efficiency of the heat supply network; constructing and training an autoregressive integral moving average model, inputting current power utilization related data and heat recovery efficiency, and outputting a thermal load demand prediction value; influence weights of the indoor temperature and the outdoor temperature on the thermal load demand are determined, a temperature difference is calculated, a temperature correction coefficient is calculated according to the temperature difference, and a thermal load demand prediction value is adjusted by using the temperature correction coefficient; setting a power corresponding relation, and adjusting the power of the electric boiler by stages; the operation time and the stop time of the electric boiler are calculated according to the operation state data of the electric boiler, and the electric boiler is set according to the operation time and the stop time obtained through calculation.

The invention provides a heat supply building outer wall outer surface thermal defect diagnosis method and device, computer equipment and a readable storage medium, and belongs to the technical field of heat supply building energy saving. The problems that an existing building outer wall defect detection method is not high in automation degree and low in calculation efficiency are solved. The method comprises the following steps: step 1, building an outdoor temperature data set by collecting historical meteorological data of a building location; 2, the building outer wall structure is investigated and researched; 3, calculating the outdoor comprehensive temperature and the delay time of the wall body under the action of periodic heat; 4, determining the acquisition time of the infrared thermogram of the outer surface of the outer wall; 5, infrared image feature two-stage classification identification is carried out; 6, judging the thermal defect degree of the outer wall; and 7, calling the model and outputting a thermotechnical defect diagnosis result. The method is mainly used for heat supply building outer wall outer surface thermotechnical defect diagnosis.

The invention discloses a solar photovoltaic power generation and energy storage integrated communication machine room and an energy management and multi-mode refrigeration control method thereof, and belongs to the field of solar photovoltaic power generation green low-carbon communication machine rooms. The communication machine room takes an optical storage all-in-one machine and a unified direct-current bus as a core, photovoltaic power is connected to the direct-current bus through DC / DC, stored energy is connected to the direct-current bus through bidirectional DC / DC, commercial power is connected to the direct-current bus through AC / DC, a bus voltage stabilizing module is configured, and photovoltaic power supply priority, residual power charging and gap energy complementation are achieved. The energy management method comprises the steps of collecting power and a charge state to generate a state quantity, distributing the power according to priorities and issuing a control instruction. According to the refrigeration control method, the refrigeration mode or the mixed mode of the heat pipe and the compressor is switched according to the outdoor temperature threshold value and the refrigeration requirement, the three-way valve, the compressor and the fan are cooperatively controlled, and hysteretic and minimum retention time constraints are adopted to restrain frequent switching. According to the scheme, the renewable energy proportion and power supply continuity are improved, refrigeration energy consumption is reduced, and temperature control of the machine room is kept stable.

The invention relates to the technical field of air conditioning equipment, in particular to an air conditioning equipment control method and air conditioning equipment, and aims to solve the technical problems that an existing air conditioning equipment control method is poor in expansion valve control precision and cannot effectively adapt to different operation working conditions of the air conditioning equipment, so that the air conditioning equipment is shut down abnormally, and noise is increased. Therefore, the air conditioning equipment comprises a compressor, an outdoor heat exchanger, an electronic expansion valve and an indoor heat exchanger which are sequentially connected in series, and the control method comprises the steps that after the air conditioning equipment is started, the outdoor temperature is obtained; according to the outdoor temperature, the initial opening degree of the corresponding electronic expansion valve is obtained; and the opening degree of the electronic expansion valve is adjusted to the initial opening degree. Through the arrangement, the initial opening degree and the subsequent adjustment amount of the expansion valve can be corrected according to the outdoor temperature so as to adapt to different limiting working conditions of the air conditioning equipment, the control precision and speed of the expansion valve are improved, abnormal shutdown of the air conditioning equipment is prevented, and the operation noise of the air conditioning equipment is reduced.

The embodiment of the invention discloses a peak regulation method, device and equipment for a cogeneration unit and a storage medium, and relates to the technical field of electric power, and the method comprises the steps: determining the heat user demand heat of a preset region in a current unit time length based on the heat supply scene information of heat users in the preset region and a predicted outdoor temperature sequence of the preset region in the current unit time length, based on heat supply network heat supply steam information extracted from the combined heat and power generation unit by a heat supply network heat supply system in the preset area in the current unit time, heat source heat supply heat of the preset area in the current unit time is determined; the supply and demand deviation is determined according to the heat user demand heat and the heat source heat supply heat, and when the supply and demand deviation is larger than a set deviation threshold value, a heat storage adjusting valve is opened to start a heat storage mode of the heat supply network heat supply system, and when the heat user demand heat is larger than the heat source heat supply heat, heat stored by the heat supply network heat supply system in the heat storage mode is used for heat supply. And the peak regulation flexibility of the cogeneration unit is improved in a peak load shifting manner.

The invention discloses a heat pump heat storage defrosting control method which comprises the following steps: outdoor temperature acquisition: after starting to heat, performing data acquisition on the surface temperature of an outdoor heat exchanger at regular time; temperature deviation is calculated, specifically, temperature data sampled each time are set to be Tn, the temperature difference Tn = Tn-T0 during sampling each time is calculated, and the sampling frequency is t / time; calculating a temperature change rate: calculating a real-time temperature change rate according to the acquisition evaluation rate; frosting degree judgment, wherein the frosting degree is divided into mild frosting, moderate frosting or severe frosting according to the temperature difference and the temperature change rate; and according to the frosting degree, different strategies are adopted to adjust the opening degree of the main electronic expansion valve and the auxiliary electronic expansion valve, and a refrigerant is called to enter the outdoor heat exchanger for defrosting. The frosting degree is subdivided, and the opening degree of the main electronic expansion valve and the opening degree of the auxiliary electronic expansion valve are adjusted through different strategies, so that the situation that the indoor temperature is greatly reduced during mild frosting or moderate frosting is avoided.

The invention belongs to the technical field of heat supply systems, and provides a heat supply system secondary network return water temperature prediction method and system based on indoor and outdoor temperature difference, and the method comprises the steps: obtaining the secondary network water supply temperature, the indoor temperature and the outdoor temperature of a heat supply system, and calculating the secondary network return water temperature of the heat supply system in combination with a heat transfer model; taking the obtained secondary network return water temperature as a state variable, and respectively constructing a state equation and an observation equation for predicting the secondary network return water temperature of the heat supply system; calculating an observed value of the secondary network return water temperature at the next moment according to the constructed state equation and observation equation; and respectively carrying out prediction updating on the constructed state equation and observation equation by adopting extended Kalman filtering to obtain an optimal secondary network return water temperature observation value at the next moment, namely completing the prediction of the secondary network return water temperature of the heat supply system.

The invention provides an air conditioner, a control method thereof and a readable storage medium. The air conditioner control method comprises the steps of detecting and obtaining an indoor temperature value and an outdoor temperature value; acquiring a set temperature value; the initial frequency and the inner ring temperature coefficient of the compressor are obtained according to the indoor temperature value and the set temperature value, and the outer ring temperature coefficient is obtained according to the outdoor temperature value and the set temperature value; acquiring a basic opening degree corresponding to the initial frequency; an initial opening degree is generated according to the basic opening degree, the inner ring temperature coefficient and the outer ring temperature coefficient; and controlling the air conditioner to start according to the initial opening and the initial frequency. The air conditioner and the readable storage medium can realize the air conditioner control method. By adjusting the initial opening degree of the electronic expansion valve, the system rapidly reaches a stable operation state in the initial starting stage, and liquid flow sound is effectively reduced.

The invention relates to the technical field of refrigeration air conditioners and automatic control, in particular to a fixed frequency compressor group control energy regulation system based on outdoor temperature and humidity coupling, which comprises a data acquisition unit, a reheating demand judgment unit and an anti-icing protection control unit, a data acquisition unit acquires outdoor temperature and humidity coupling data and return air temperature data of all compressors through an outdoor temperature and humidity sensor and a return air temperature sensor, and a reheating demand judgment unit implements temperature feedforward control based on outdoor temperature and humidity and sets an adjustable limit level to constrain the input proportion of the compressors. When the compressors are fully input and the humidity exceeds the standard, the moisture content of indoor, target and outdoor air is calculated, the reheating requirement is judged by combining the transient temperature when the integral speed of the cooling and dehumidification PID controller and the adjustable limiting level and the floating gear are adjusted according to the moisture content, and the anti-icing protection control unit periodically monitors the return air temperature and takes measures. The problems that temperature and humidity control of a traditional system is not coordinated, and anti-icing protection is not accurate are solved.

The invention discloses an air conditioner filter screen cleaning prompting method based on artificial intelligence, and relates to the technical field of intelligent maintenance of air conditioners and heating ventilation air conditioning equipment. Systematic interference of high humidity and accumulated water of a pressure taking channel on pressure difference reading is eliminated on the sensing level by introducing a dew point driven condensation risk grading and feature weight descending mechanism; the pressure difference indication is closer to the real resistance evolution; then, differential pressure, fan electric parameters and indoor and outdoor temperature and humidity are comprehensively utilized through multi-time-window preprocessing and a time sequence classification model, distinguishing of a dry dust blocking mode and a wet mold blocking mode is achieved, and the complex process of slow accumulation-intermittent fluctuation-seasonal migration in a coastal scene can be covered; and a hysteresis and anti-shake strategy is adopted in a decision-making level, and a minimum prompt interval is set, so that false alarm and frequent reminding caused by transient disturbance are inhibited, and the user experience is remarkably improved.

The invention relates to the technical field of building carbon emission measurement and calculation, and provides a building envelope structure carbon emission dynamic measurement and calculation method which comprises the following steps: step 1, area delimitation: dividing building areas, and combining the same kind of building areas; step 2, individual enclosure structure collection: the unmanned aerial vehicle is used for aerial photography to collect all-angle camera pictures of the individual building enclosure structure in the building area; by considering different time variation and space planning of the building, the heat transfer process of the building envelope and the indoor temperature change are dynamically simulated, the carbon emission measurement and calculation result is updated in real time, and the dynamic change of the carbon emission of the building is reflected in time; the heat transfer and heating capacity of the building envelope structure can be accurately measured and calculated under the influence of solar radiation intensity and outdoor temperature change in different time periods of a building in one day and different orientations, different floors and surrounding environments of the building on heat transfer.

The invention relates to the technical field of door and window temperature control, in particular to a door and window temperature control method and system based on artificial intelligence, and the method comprises the steps: collecting indoor and outdoor temperature, meteorological conditions and personnel activity data through a distributed sensor network, analyzing the temperature distribution characteristics through a convolutional neural network, and predicting the temperature diffusion trend through a long-short-term memory network. And a reinforcement learning algorithm is combined to optimize a door and window control strategy. According to the application, accurate management of indoor temperature distribution can be realized through deep analysis and dynamic adjustment of multi-dimensional data, and the energy utilization efficiency and the living comfort are improved.

The invention discloses an air conditioner control method and device, an air conditioner, a storage medium and a computer program product. The air conditioner comprises an outdoor electronic expansion valve, an indoor electronic expansion valve, a first indoor heat exchanger, a second indoor heat exchanger and an outdoor heat exchanger. The outdoor heat exchanger is connected with the indoor second heat exchanger through the outdoor electronic expansion valve, the indoor first heat exchanger and the indoor electronic expansion valve in sequence; the method comprises the steps that after a constant-temperature dehumidification mode is started, whether dehumidification is started or not is determined according to indoor humidity, indoor target humidity and outdoor temperature; if it is determined that dehumidification is started, the opening degree of an outdoor electronic expansion valve is set to be maximum, the rotating speed of an inner fan is controlled according to the indoor humidity and the indoor target humidity, the rotating speed of an outer fan is controlled according to the indoor temperature, the frequency of a compressor is controlled according to the indoor humidity and the indoor target humidity, and the opening degree of the indoor electronic expansion valve is controlled according to the exhaust temperature. According to the scheme, the room temperature is kept unchanged during dehumidification, the indoor temperature is prevented from being cold but not dry, and the indoor comfort in the dehumidification process is improved.

The invention discloses a thermochromic shutter system and a control method thereof. Comprising outer side glass and inner side glass which are supported by a frame; a shutter array is arranged between the outer side glass and the inner side glass, and the shutter array is connected with the control device; the shutter array is formed by sequentially arranging a plurality of thermochromic plates at intervals; according to the thermochromic shutter system, the optimal inclination angle of the shutter can be judged according to indoor and outdoor temperature conditions, and the magnetic attraction sliding block is pushed through the push rod motor to adjust the shutter to the optimal angle position. Meanwhile, the magnetic attraction sliding block can be manually adjusted, and the inclination angle of the thermochromic shutter can be adjusted within the range from the horizontal direction to the vertical direction according to the preference of a user. Dynamic adjustment of the solar radiation transmittance of the glass system is realized ingeniously through the temperature response characteristic of the optical state of the shutter; and the heat transfer coefficient of the glass system can be regulated and controlled according to needs by combining with shutter inclination angle control.

The invention provides a fresh air dehumidification energy-saving control method and system, and relates to the technical field of fresh air dehumidification energy-saving control, the outdoor temperature, the outdoor relative humidity and the actual personnel number of an independent control area are obtained in real time and compared with the preset personnel number, and the number deviation is determined; when the quantity deviation meets a preset deviation threshold value and the outdoor temperature and humidity meet preset conditions, the target fresh air volume can be calculated according to the actual personnel quantity, the total fresh air volume is divided into first fresh air and second fresh air, the first fresh air is guided to a chilled water coil pipe for cooling and dehumidification, and the second fresh air is guided to a chilled water coil pipe for cooling and dehumidification; the first fresh air bypasses the chilled water coil pipe through the bypass air duct and is not cooled and dehumidified, the second fresh air bypasses the chilled water coil pipe through the bypass air duct and is not cooled and dehumidified, and then the cooled and dehumidified first fresh air and the second fresh air are mixed and conveyed to the variable air volume valve box for air volume adjustment. And a remarkable energy-saving effect and better user experience are achieved.