4377results about "Efficient regulation technologies" patented technology

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.

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 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 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 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.

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.

The invention discloses an air conditioner evaporator anti-freezing self-adaptive control method, and relates to the technical field of air conditioner evaporator anti-freezing, and the method comprises the steps: S1, data collection: obtaining an evaporator temperature field, environment temperature and humidity and compressor operation parameters through a distributed sensor array, S2, feature extraction: calculating a regional temperature difference gradient and a frosting rate prediction value based on temperature field data, s3, risk grade division, S4, intelligent decision generation, S5, driving execution, S6, real-time monitoring, S7, parameter iteration, and S8, mode switching. Through the steps S1, S2, S6 and S7, a self-learning system for data acquisition, feature analysis, effect feedback and model optimization is constructed, so that the system can continuously adapt to complex scenes such as evaporator performance attenuation and long-term environment change; through the steps S3, S4, S5 and S8, refined hierarchical management and control of risks and dynamic optimization of control parameters are realized, and cooperative adjustment of heating power and fan rotating speed and adaptive reduction of sampling frequency at low risk are combined.

The invention provides a centralized dust control method and system for a driving working face, and the method comprises the steps: collecting actual measurement environment parameters of the driving working face in real time through a sensor, and carrying out the preprocessing of the actual measurement environment parameters, and obtaining the preprocessed actual measurement environment parameters; acquiring a target environment parameter of the driving working face, and determining an absolute value of an environment parameter difference value according to the target environment parameter and the preprocessed actually measured environment parameter; according to the absolute value of the environmental parameter difference value, an execution mechanism adjustment instruction value is determined through a PID control algorithm; and controlling the driving working face centralized dust control system based on the execution mechanism adjustment instruction value. Wherein the executing mechanism adjusting instruction value comprises the angle variation of a guide vane in the negative-pressure air duct body, the opening size variation of an air distributor in the negative-pressure air duct body and the rotating speed of a fan. According to the technical scheme provided by the invention, the safety and the environmental protection property of the tunneling operation are improved.

The invention belongs to the technical field of ventilation and air conditioning, and discloses an intelligent ventilation wall control method and system.The intelligent ventilation wall control method comprises the steps that real-time airflow parameters and temperature parameters of an indoor area are obtained; identifying a potential hot pressure difference disturbance area according to the airflow parameters; acquiring a disturbance response level of the potential hot pressure difference disturbance area at each moment according to the airflow direction change and the temperature gradient stability of the potential hot pressure difference disturbance area at adjacent moments in the analysis time period; screening a high-priority control region based on the disturbance response level; according to the disturbance response level of the high-priority control area at each moment and the temperature parameter of the high-priority control area at the same moment, obtaining an adjustment guidance index of the corresponding control area; the air supply amount and the air supply direction of the ventilation wall are dynamically adjusted based on the adjustment guidance index, so that transient hot pressure difference disturbance in the area is responded in real time; and the energy-saving effect of the ventilation wall system is greatly improved.

The invention relates to the technical field of screw locking detection, and provides an air conditioner frequency conversion board screw locking detection method comprising the following steps: dividing an assembly area into a power module area, a control core area, an electrical interface area and a heat dissipation auxiliary area; according to the physical structure characteristics of the assembly areas, an independent torsion threshold range and expected torsion curve characteristics are configured for each area; on the basis of the physical structure characteristics of the screw holes in different assembly areas, matching corresponding screw types for the areas, and determining a screw tightening rotating speed range according to the matching relationship between the selected screw types and the physical structure characteristics of the screw holes; locking operation is executed within the screw tightening rotating speed range, torque data in the screw locking process are collected, whether the screw is assembled in place or not is judged according to the comparison result of the torque data and a preset torque standard, and the preset torque standard is set based on the selected screw type and the physical structure characteristic of the screw hole; and judging whether the screw and the screw hole are slipped or not.

The invention relates to the technical field of ICU environment regulation and control, and discloses a negative pressure self-adaptive adjusting system for an ICU ward. The system comprises an area pressure monitoring module, a pressure gradient analysis module, an abnormal fluctuation judgment module, a negative pressure demand generation module, a fan parameter calculation module and an execution control module. The regional pressure monitoring module obtains pressure values of ICU wards, buffer rooms and corridors in real time; the pressure gradient analysis module calculates a pressure difference value of adjacent areas, judges a gradient state and generates an abnormal signal; the abnormal fluctuation judgment module generates an abnormal level signal accordingly; the negative pressure demand generation module generates a negative pressure maintaining or enhancing instruction according to the grade signal; the fan parameter calculation module is combined with the real-time pressure value of the ward to calculate the rotating speed of a target fan and the opening value of an air valve; and the execution control module controls an exhaust system adjusting mechanism according to the target parameters. The system can dynamically regulate and control the negative pressure, guarantees the stability of the negative pressure in a ward, and reduces the diffusion risk of harmful microorganisms.

The invention provides a safety device based on mine ventilation network simulation regulation and control and a use method thereof, and belongs to the technical field of underground safety equipments.The side portion of a frame body is provided with two regulation and control air channels, two transmission modules are arranged between the two regulation and control air channels, and a data acquisition and communication module capable of sliding and ascending and descending is clamped between the two transmission modules; fixing modules are installed on the frame body and the regulation and control air channel, the regulation and control air channel is divided into three sections, a dust removal module is installed in each section, and an air speed detector is arranged on the rear portion of each dust removal module. Comprehensive perception, intelligent regulation and control and convenient maintenance of the mine ventilation system are achieved, a digital twinborn model is accurately constructed through the mobile acquisition module, a data basis is provided for intelligent analysis, the controller can automatically optimize and adjust a fan, the response is fast, an original automatic landing maintenance mechanism is adopted, and the maintenance efficiency is improved. When the air duct is blocked, an alarm can be given and the air duct falls to the ground, so that the maintenance work does not need climbing operation, safety and high efficiency are realized, and the reliability and safety of the system are remarkably improved.

Disclosed is a flow path switching device including: a case including a first nozzle into which fluid is introduced, a second nozzle through which fluid is discharged, a plurality of inner outflow pipes through which fluid supplied from the first nozzle flows, a plurality of inner inflow pipes through which the fluid supplied to the second nozzle flows, and a flow path connection portion in which a space is formed to communicate the plurality of inner outflow pipes with the first nozzle or to communicate the plurality of inner inflow pipes with the second nozzle; a valve rotatably disposed in the space of the flow path connection portion, and having a first chamber connecting one of the plurality of inner inflow pipes and the first nozzle according to placement, and a second chamber connecting one of the plurality of inner outflow pipes and the second nozzle; and a motor disposed in one side of the valve and rotating the valve. Each of the first nozzle, the inner outflow pipe, and the flow path connection portion forms a flow path perpendicular to each other inside. A first chamber hole connecting the first chamber and a nozzle flow path formed inside the first nozzle is formed in the valve. A cross-sectional area of the nozzle flow path is reduced to a size corresponding to the first chamber hole from an inlet portion of the first nozzle towards the flow connection portion.

The invention provides a heat pump non-stop defrosting control method and system based on double-evaporator cooperative control, and the method comprises the steps: building a temperature difference response change rate index by collecting the refrigerant inlet and outlet temperatures of two groups of fin heat exchangers in real time, and recognizing a side needing to be defrosted and a heating side; an electronic expansion valve, a fan and an electromagnetic valve are dynamically configured, so that the side needing to be defrosted enters a static defrosting mode, and the heating side continuously supplies heat; the frequency rising of the compressor and the switching of the four-way valve are cooperatively adjusted, and small-flow pre-balancing is executed before reversing so as to restrain pressure impact; and after defrosting is completed, it is judged that defrosting is finished based on the thermal response state and the heat change trend, the side needing defrosting is controlled to be reset, and heating is started again. Uninterrupted heat supply of the user side in the defrosting process is achieved, water temperature fluctuation and energy consumption are remarkably reduced, and the operation stability and energy efficiency of the heat pump in the low-temperature and high-humidity environment are improved.

The invention provides an air purification filter element control method and system based on environment awareness, and the method comprises the steps: collecting environment parameter data of a to-be-purified space and working state data of purification equipment, extracting the spatial and temporal change characteristics of the pollutant concentration in the environment parameter data, and generating environment characteristic data; based on the ventilation quantity and the environment characteristic data in the working state data, calculating the mass flow of each pollutant passing through the filter element, and performing weighted correction on the mass flow through a preset load coefficient to obtain a current load value; cumulative calculation is conducted on the load history data, the pressure difference distribution data and the current load value, and filter element service life parameters are obtained; target operation parameters are determined based on the filter element service life parameters and the environment parameter data, and a fan and a valve of the purification equipment are adjusted; according to the method, accurate evaluation of the state of the filter element is realized through multi-point environmental perception and load accumulation calculation, and dynamic regulation and control are performed by combining the environmental pollution degree and the service life of the filter element, so that the purification efficiency is improved and the service life of the filter element is prolonged.

The invention relates to the technical field of air purification, in particular to a negative oxygen ion dynamic air purification strategy and system.The negative oxygen ion dynamic air purification strategy comprises the following steps that on the basis of linkage of particulate matter concentration and multiple environmental parameters, influences of airflow, pressure, temperature and humidity and personnel flow on particulate matter distribution are analyzed, and formaldehyde and harmful gas parameter fluctuation trends are combined; pollution changes and equipment response grades are judged, the release path, frequency and power of the negative oxygen ion generator are adjusted, and ion release adjustment parameters are output. Data such as multi-element particulate matter concentration, airflow state, environmental pressure, temperature and humidity, personnel flow and the like cooperatively participate in monitoring and judgment, particulate matter grading characteristics are linked in real time through environmental dynamic factors, fluctuation trends of multiple pollutants in air are jointly calculated, high-risk change stages are actively recognized, purification response grades are dynamically output, and the purification effect is improved. The ion release direction and power are adjusted in an automatic linkage mode, the purification response changes along with space pollution hot spots, and diversified pollution distribution scenes are effectively covered.

The invention provides an automobile mosquito protection system and method based on a negative pressure airflow barrier, and the system comprises an airflow generation module which comprises at least one fan arranged at an automobile door frame and is used for generating airflow flowing from the interior of a passenger compartment to the exterior of an automobile; and the air guide structure communicates with the airflow generation module and is used for forming a negative pressure airflow barrier covering the vehicle door opening at the vehicle door opening. An airflow barrier is established at the moment of opening of the vehicle door, mosquitoes are prevented from entering from the source, and passive is changed into active; a pure physical airflow expelling mode is adopted, no chemical substance or high-voltage electric shock risk exists, the air quality in a vehicle is preferentially monitored, and the health of passengers is guaranteed; intelligent control is carried out based on double signals of the vehicle door opening degree and biological recognition, and the protection effect, energy consumption and noise are effectively balanced; core components of the system are designed in a hidden integrated mode, and the appearance and getting-on and getting-off convenience of the vehicle are not affected.

An environmental control system for a building, the system including a vent. The vent includes one or more louvers configured to change position between an open position and a closed position to permit air from the air duct to enter a zone of the building or stop the air from entering the zone and a vent circuit configured to operate the one or more louvers based on one or more control commands. The system includes a controller device including a processing circuit configured to receive a selection of an operating profile from a plurality of predefined operating profiles for the vent, each of the plurality of predefined operating profiles indicating an intended use of the zone, determine, based on the operating profile, the one or more control commands, and cause the vent circuit to operate the one or more louvers based on the one or more control commands.

The invention relates to the technical field of energy-saving operation and maintenance of an air conditioning system, and discloses an energy-saving air conditioner air filter blockage detection method and system. By introducing the deviation degree of a correlation mode between a fan energy consumption parameter and air pressure parameters before and after a filter as a judgment basis, when the pressure difference change is not obvious, the blockage of the air filter can be detected; and the fan is forced to increase the energy consumption for maintaining the air supply amount. The specific blockage mode with high energy consumption and low efficiency is just hidden blockage which cannot be effectively identified in the prior art. By quantifying the deviation of the correlation mode, the gradual blockage can be timely and accurately found, so that the fan motor is prevented from being in an overload running state for a long time, the equipment abrasion is reduced, the service life is prolonged, and the energy consumption waste of the air conditioning system is obviously reduced.

The invention discloses a laboratory steady clean air conditioning system and method coping with a high cotton fiber environment, and the method comprises the steps: obtaining air temperature and humidity data, cotton fiber concentration data and particle distribution data, constructing an aerodynamic basic learning model, and carrying out the calculation through the basic learning model, and obtaining air state parameters; obtaining new air environment data based on the air state parameters, and preprocessing the new air environment data to obtain preprocessed air environment data; optimizing the basic learning model by using the preprocessed air environment data, and constructing an air state prediction model; and air state prediction is conducted based on the air state prediction model, an air conditioning prediction result is obtained, and intelligent adjustment and steady control over laboratory environment air are achieved. According to the method, the cleanliness prediction accuracy is improved, the local cotton fiber deposition risk is reduced, closed-loop control is achieved, and intelligent adjustment and steady control of laboratory environment air are achieved.

Systems and methods for executing an IAQ analysis of a building. One system includes a controller including memory and one or more processors configured to obtain IAQ data from one or more sensors within the building, wherein the IAQ data is associated with at least one of a plurality of environment species, obtain BAS data, identify one or more unknown parameters from the IAQ data and BAS data of two or more of the plurality of environment species, estimate the one or more unknown parameters based on inputting the IAQ data and the BAS data into an optimization model, and wherein the optimization model analyzes predicted concentrations of the plurality of environment species subject to the two or more of the plurality of environment species evolving according to a single-species concentration model, and provide the estimated one or more unknown parameters to one or more predictive models.

The invention belongs to the technical field of building ventilation, and particularly discloses an intelligent building ventilation energy-saving system based on AI dynamic adjustment, and the system is characterized in that the system comprises a sensing layer which is used for collecting indoor and outdoor environment parameters in real time; the data transmission layer transmits various data acquired by the sensing layer to a central control system in real time through an Internet of Things communication technology, and is provided with a data caching mechanism; the central control system comprises a data processing module and is used for preprocessing the received data; the AI analysis module is used for establishing an indoor air quality prediction model, a personnel activity mode prediction model and a ventilation system energy consumption model by applying a machine learning algorithm; the control decision module generates an optimal ventilation control strategy; and the execution layer comprises a fresh air fan and an exhaust fan which adopt a frequency conversion technology, and an air supply outlet and an exhaust outlet which are provided with electric air valves, and further comprises a function of receiving a control instruction of the central control system and controlling ventilation equipment in real time.

The application provides an air conditioner control method and system based on carrierless communication, and a storage medium. The method comprises the following steps: after the air conditioner is powered on, when it is detected that the intelligent control running time reaches two cycles, the user usage habit self-learning is entered, so as to intelligently control the air conditioner based on the self-learning result; whether the intelligent control running time reaches one cycle is detected in real time, if yes, the parameter correction is performed according to the user usage habit of the previous cycle, so as to obtain a new user usage habit, and intelligently control the air conditioner based on the new user usage habit; otherwise, the air conditioner is intelligently controlled based on the user usage habit of the current cycle; whether the current user usage habit meets the preset requirement is judged every preset cycle, so as to correct the control parameter corresponding to the user usage habit according to the judgment result. The application can continuously update the parameter according to the change of the user usage habit, and is more intelligent.

The application discloses a kind of purification operating room airflow dynamic regulation method and system, it is related to airflow regulation technology field, by obtaining the air supply of each operating room and main air pipe pressure distribution information, establish airflow disturbance mapping matrix, and calculate the pressure difference disturbance potential and pressure difference resonance kernel value of each operating room according to this, judge whether to trigger airflow self-balancing regulation and control;If trigger, then combine the pressure difference resonance kernel value with the air supply branch pipe position to calculate global pressure difference offset barycenter, and generate air volume control signal to each operating room is airflow regulation;After each regulation, continue to monitor resonance kernel value and offset barycenter position, judge whether to continue regulation.This way, in multi operating room shared air conditioning system, when the airflow air volume of certain operating room is regulated, it can carry out linkage sensing and coordinated adjustment to the global airflow distribution in main air pipe and the state of other operating rooms, reduce the probability that the airflow of remaining operating room occurs disorder, reduce the influence on the cleanliness of remaining operating room.

The invention relates to the technical field of respirators, and discloses a respirator flow dynamic adjusting system based on airflow sensing, which is characterized in that after starting, a multi-mode sensing module acquires spatial flow velocity distribution and dynamic characteristics of respiratory airflow, and generates a composite data flow fused with flow field information; the composite data flow is subjected to nonlinear analysis to generate a state vector representing breathing stability, and the state vector is used for identifying fluid abnormal risks; the state vector generates an optimized execution instruction set by the self-adaptive control engine in combination with the energy state of thermoelectric conversion; the execution instruction set drives the piezoelectric valve and the shear response humidifying layer to cooperatively adjust the flow and the humidity, and outputs physiologically matched breathing gas; fusion collection of spatial flow velocity distribution and dynamic characteristics of respiratory airflow is achieved through the multi-mode sensing module, the limitation of traditional single-point measurement is broken through, and the sensing precision is remarkably improved; a breathing chaos index is constructed through nonlinear kinetic analysis, and early warning of the breathing rhythm stability and the fluid abnormal risk is achieved.

The present invention relates to the technical field of compressor performance testing and testing equipment manufacturing. Disclosed are a system volume-adjustable device and method for evaluating the starting characteristic of a refrigeration compressor. The evaluation device comprises a sample under test, a test refrigeration system and a test control system. By means of controlling a high-pressure-end volume regulator, a low-pressure-end volume regulator and a condensing coil, the evaluation device precisely adjusts a refrigeration system volume, so as to match the test requirements of different compressors for the refrigeration system volume, and provide a volume-adjustable substitute refrigeration system for starting characteristic testing. The present invention synchronously collects transient characteristic parameters such as intake and exhaust pressure, inter-phase voltage, phase line current and housing vibration acceleration at the instant of a compressor start, and non-transient characteristic parameters such as the in-housing temperature of a variable-frequency driver, the temperature of a power module and the temperature of a rectifier bridge, so as to accurately measure and evaluate the starting characteristics of the refrigeration compressor in specific environments.

A combined heat exchanger, a heat exchange system, and an optimization method thereof are provided. The heat exchange system includes: an enhanced vapor injection compressor, a condenser, an expansion valve and an evaporator, which are located in a main circuit; wherein the heat exchange system further includes a first branch branched from the main circuit to an vapor injection port of the compressor at a branch point P downstream of the condenser, and a first heat exchange unit and a second heat exchange unit are further provided in the main circuit between the branch point P and the expansion valve; and wherein a refrigerant leaving the condenser is divided at the branch point P into a first portion passing through the first heat exchange unit and the second heat exchange unit from the main circuit, and a second portion passing through the first branch to the vapor injection port.