2753 results about "Water chiller" patented technology

The invention relates to the technical field of air conditioner chilled water control, in particular to an air conditioner chilled water control method and system based on deep learning, and the method comprises the following steps: collecting states of an air conditioner water chilling unit, including water pump frequency and valve opening feedback, and pipe network water supply temperature, return water temperature, flow and differential pressure operation readings; according to the method, the state parameters of the water chilling unit are dynamically collected, the system operation state feature set is constructed, real-time fusion and standardization processing of multi-source heterogeneous data are achieved, the problem of time sequence dislocation caused by sensor sampling frequency differences is solved, the heat load change key input quantity is recognized based on the feature set, and the system operation state feature set is established. And the performance attenuation trend of the water pump is accurately pre-judged in combination with prediction calculation, and extra energy consumption caused by lagging adjustment is reduced. A layered optimization framework with total energy consumption minimization as a target is introduced, water supply temperature, pressure difference setting and unit operation combination are decoupled into independent optimization sub-problems, and invalid work of a water pump is reduced on the premise that the tail end heat requirement is met.

The invention discloses a central air conditioner energy-saving optimization system based on load prediction, and relates to the technical field of air conditioner energy saving.According to the central air conditioner energy-saving optimization system based on load prediction, a VMDTransformerGRU hybrid deep learning model is introduced, through multi-source data fusion, the precision of cold load prediction is remarkably improved, and the prediction model can recognize the load change trend in advance. According to the improvement, the dynamic response capacity of the system is effectively enhanced, pre-regulation and control can be carried out before load changes, energy waste is reduced, a water chilling unit, a cooling tower and a pump are modeled to be independent intelligent agents, multi-agent deep reinforcement learning (MADRL) is adopted, and all the intelligent agents can autonomously learn and optimize control strategies of the intelligent agents. The intelligent agents cooperate with one another, efficient operation of the whole system is achieved through autonomous decision, and operation conflicts between devices are avoided. In this way, dynamic coordination and joint optimization among all the devices are achieved, invalid energy consumption is reduced, and the overall energy-saving effect and operation stability of the system are remarkably improved.

The invention discloses an integrated cold station intelligent control system based on multi-modal data fusion, and relates to the technical field of data fusion, an intelligent decision and optimization module adopts reinforcement learning and model prediction control based on fused data to realize dynamic optimization of start and stop of a water chilling unit, chilled water temperature setting and water pump frequency adjustment; the fault detection and adaptive optimization module evaluates the data fusion accuracy by calculating an environment entropy value and cold station dynamic response delay time, and dynamically adjusts a control strategy based on a prediction deviation rate and the data fusion accuracy; the closed-loop feedback module analyzes and adjusts control parameters through operation data, intelligent control models between different cold stations are optimized through transfer learning, intelligent deployment of a new cold station is accelerated, and the generalization ability of the models is improved. More accurate, more energy-saving and more stable intelligent control of the cold station is realized, and the operation efficiency and reliability of the cold station system are improved.

The invention provides a machine room control method and system based on communication between an air conditioner terminal and a water chilling unit, and the method comprises the steps: obtaining three-dimensional data and equipment attribute data of a machine room and accessory equipment of the machine room through a server, and building a digital twinborn model of the machine room; the server establishes a dynamic load prediction model and sends the dynamic load prediction model to a first controller of the water chilling unit; the intelligent sensor collects environment data and equipment data; a second controller of the air conditioner terminal obtains the environment data and sends the environment data to the first controller; the first controller predicts the cold load change according to the dynamic load prediction model and the historical data and adjusts the operation strategy of the air conditioning system; the server simulates a machine room environment and an equipment operation condition in real time by using a digital twin model, generates a control strategy in combination with a self-adaptive control strategy after evaluating a result, and sends the control strategy to the first controller; and the first controller dynamically adjusts operation parameters of the air conditioning system according to the strategy. By means of the scheme, efficient, intelligent and accurate real-time monitoring and control over the energy efficiency of the air conditioning system can be achieved.

The invention discloses an energy-saving control method and system for a water chilling unit, and relates to the technical field of energy-saving control. During operation of the system, a data set is synchronously collected from a water chilling unit system through a multi-channel asynchronous sampling mechanism, time sequence compression and redundancy removal are carried out, an embedded perturbation calculation mechanism is used for calculating and generating a non-dominant control core coefficient, and the non-dominant control core coefficient is used for controlling the energy-saving control of the water chilling unit; a three-dimensional coefficient space is converted and output through an entropy state change structure and is used for constructing a state balance atlas, comprehensively calculating a control state index SEEI, evaluating the current energy state offset degree of a system, determining whether intervention is carried out or not, carrying out rule search and nonlinear modeling based on the control state index SEEI value, generating an adjustment matrix, and carrying out state balance analysis. And starting a data reconstruction micro-strategy of a short-time historical window, receiving an adjustment matrix, converting the adjustment matrix into a device-level instruction, executing an action through an edge controller, feeding back a response error epsilon (t) in real time, and predicting a potential performance degradation trend based on long-time system operation data.

Vehicle heat pump system comprising a compressor for discharging a refrigerant; an indoor heat exchanger in an air-conditioning case, allowing heat exchange between air and the refrigerant; a water-cooled condenser downstream of the indoor heat exchanger in the flow direction of the refrigerant, exchanging heat with first cooling water; an outdoor heat exchanger downstream of the water-cooled condenser, allowing heat exchange between the refrigerant and outdoor air; an evaporator in the air-conditioning case, allowing heat exchange between the refrigerant and the air to cool the indoor space, and a chiller downstream of the outdoor heat exchanger exchanging heat with second cooling water. An outdoor unit bypass line allowing refrigerant to pass through the water-cooled condenser and bypass the outdoor heat exchanger, which branches off between the water-cooled condenser and the outdoor heat exchanger and is connected to the upstream side of the chiller in the flow direction of the refrigerant.

A method for separating a raw feed gas stream utilizes a compressor, a chiller, a membrane drying stage, and a plurality of membrane separation stages. The raw feed gas stream may comprise biogas. In one example, the raw feed gas stream is supplied to the chiller where it is cooled to a target operating temperature to separate out condensed water. The gas stream is then supplied to a membrane drying stage to separate out water vapor. An off-gas from one of the membrane module stages may be recycled as a low pressure sweep gas on the low pressure side of the membrane drying stage to increase the driving force for water permeation within the membrane drying stage. The gas stream is then supplied to the plurality of membrane separation stages where it is upgraded into a high purity methane stream.

The invention discloses an intelligent air conditioner water chilling unit control method and system based on predictive optimization. Operation data and weather forecast data are collected to establish a dynamic response reference, building cold load sudden change opportunity is recognized, the mismatching relation between magnetic suspension frequency and wet bulb temperature is detected, and energy-saving opportunity recognition data is generated to determine a cooling starting judgment table; identifying equipment response delay characteristics by using a dynamic response reference, extracting time sequence advantage parameters to determine dislocation configuration among multiple pieces of equipment, and generating coordination control parameters; cloud-local transmission delay analysis is carried out according to the coordination control parameters, and a coordination control sequence is generated through buffer opportunity identification and delay compensation; mechanical refrigeration suppression data is generated through energy efficiency mode classification, free cooling potential mining is implemented to form a cold source optimization factor, and an emergency response strategy is generated; an emergency response strategy is used to identify a multi-device linkage trigger critical zone, a prediction correction feedback network is constructed, a global collaborative optimization instruction is generated, and the system operation efficiency and the control precision are improved.

The invention provides a magnetic suspension centrifugal water chilling unit, and belongs to the field of refrigeration equipment. The magnetic suspension centrifugal water chilling unit comprises a magnetic suspension compressor, a condenser and an evaporator, the magnetic suspension compressor is connected with the condenser through an exhaust pipeline, and the condenser is connected with the magnetic suspension compressor and the evaporator through a liquid supply pipeline assembly; the system further comprises a natural process control module, the natural process control module is used for dynamically adjusting the starting sequence of a plurality of magnetic suspension compressors in the water chilling unit by determining the energy efficiency health index of the water chilling unit and calculating the energy efficiency health index, and the natural process control module is electrically connected with the central controller. And a natural process control module is arranged, a multi-dimensional energy efficiency health index model is constructed, and the starting sequence of the compressors is dynamically adjusted by integrating the actual energy efficiency ratio, the evaporation efficiency, the compressor aging coefficient, the pressure fluctuation and the environment humidity correction term.

A heat pump system for a vehicle is configured to perform cooling or heating of the vehicle interior by using a natural refrigerant, and efficiently adjust the temperature of the battery module by using a single chiller that heat-exchanges refrigerant and coolant.

A heat pump system for a vehicle includes: a valve, an electrical component cooling device, a battery cooling device, an indoor heating device, an indoor cooling device, a centralized energy device, and a chiller, wherein the second line is selectively fluidically-connectable to the first line connected to the radiator through the second valve; a condenser included in the centralized energy device is selectively fluidically-connectable to the first line or the second line through a third valve to condense the refrigerant supplied through the refrigerant line through heat-exchange with a coolant provided in a sixth line through which a coolant flows; and a first end portion of the third line is selectively fluidically-connectable to the sixth line through a fourth valve provided in the sixth line.

A heat pump system for a vehicle cools or heats the vehicle interior by using a natural refrigerant, and efficiently adjusts the temperature of a battery module by using a single chiller that exchanges heat between refrigerant and coolant.

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

A heat pump system for a vehicle includes a valve, an electrical component cooling apparatus, a battery cooling apparatus, an internal heating apparatus, an internal cooling device, a centralized energy device, and a chiller for controlling a temperature of a battery module by use of a chiller in which a coolant and a refrigerant are heat-exchanged, and for recovering and using heat from various heat sources in a heating mode of a vehicle for indoor heating to improve heating efficiency, wherein the battery coolant line is selectively connectable to the first connection line through a battery coolant connection line connecting the battery coolant line and the first connection line.

The invention discloses an energy consumption optimization control method and system for heating and ventilation equipment, and the method comprises the steps: carrying out the comprehensive evaluation of the energy consumption condition of the heating and ventilation equipment, and recognizing the current energy consumption condition and energy-saving potential of the equipment; the system is connected with heating and ventilation equipment through the Internet of Things technology, and collects parameters of the heating and ventilation equipment in real time. Based on the preprocessed data, establishing energy consumption models of the water chilling unit, the cooling tower, the freezing pump and the cooling pump; building an energy consumption prediction regression model by adopting a decision tree algorithm, and predicting the total energy consumption of the heating and ventilation system in real time; according to the predicted energy consumption data, an optimization control strategy of the heating and ventilation equipment is formulated in combination with a set energy consumption control objective function; and applying the formulated optimization control strategy to the heating and ventilation equipment, carrying out real-time monitoring and feedback, and carrying out iterative optimization on the control strategy according to an actual effect. According to the method, comprehensive evaluation, real-time monitoring and optimal control of the energy consumption of the heating and ventilation equipment can be realized, and a powerful guarantee is provided for energy conservation and emission reduction of a building.

The invention discloses a water-cooling central air conditioner load management and control method based on artificial intelligence, and relates to the technical field of load management and control. Load prediction is carried out by combining a long and short-term memory time sequence model and a physical constraint neural network in a water chilling unit load prediction link and utilizing historical data; errors are corrected through an energy balance equation of the water chilling unit, and the prediction accuracy is improved; multi-objective optimization control is adopted, COP maximization of a water chilling unit, energy consumption minimization of a cooling tower fan and cooling water supply temperature stability serve as optimization objectives, environment temperature and humidity prediction is combined, and a cooling water supply temperature set point and a cooling tower fan start-stop strategy are dynamically calculated; based on a cooling water supply temperature set point and a fan start-stop strategy, a water chilling unit, a cooling tower fan and a water pump are dynamically adjusted, and the high-frequency operation phenomenon is reduced through fan start-stop optimization.

A heat pump system for a vehicle cools or heats the vehicle interior by using a natural refrigerant, and efficiently adjusts the temperature of a battery module by using a single chiller that exchanges heat between refrigerant and coolant.

The invention provides a high-efficiency control method and system for a central air conditioner refrigeration machine room, and relates to the technical field of automatic control, and the method comprises the steps: 1, obtaining chilled water supply and return water temperature difference and flow data, and calculating the dynamic cold load demand of a building in combination with the personnel distribution thermal imaging data of each floor; and 2, on the basis of the dynamic cooling load requirement, a dynamic adjustment model for the number of running water chilling units is built, matching degree calculation is conducted on the actual cooling load value and the single refrigerating capacity of the water chilling units through a fuzzy PID control algorithm, and a final unit running combination scheme is generated. By calculating the cooling load requirement, dynamically adjusting the operation parameters of the water chilling unit, the chilled water pump and the cooling tower and balancing the equipment operation time, the system energy efficiency is effectively improved, the energy consumption and the operation and maintenance cost are reduced, and stable operation of the refrigerating system is guaranteed.

The invention provides an ultra-pulse thulium fiber laser therapy apparatus which comprises a laser, an electrical device and a coupler, the laser is connected with the coupler through a thulium fiber, the laser and the coupler are respectively connected with the electrical device through circuits, and the electrical device is connected with the coupler through a thulium fiber. The electrical device controls the operation of the laser and the coupler, the optical fiber is a thulium optical fiber emitted by the laser, and the wavelength of the laser is 1940 nanometers. The ultra-pulse thulium fiber laser therapy apparatus replaces a previous water cooling device and adopts a 1940nm laser internal air cooling device, so that the ultra-pulse thulium fiber laser therapy apparatus is more compact in structure, lighter in weight and smaller in size, and the problems of noise, frequent maintenance and replacement and the like caused by a large cooling-water machine are solved.

The invention relates to the technical field of non-electrical variable control, and discloses an industrial water chiller temperature intelligent adjusting system, which comprises a refrigeration circulation loop and a control unit, the control unit calculates a steady state control component based on the water outlet temperature deviation, performs differential processing on the refrigerant pressure to extract the gradient, and outputs the gradient. Generating a transient compensation component when the gradient exceeds a dynamic noise threshold; according to the method, the problem of thermal lag is solved by utilizing the pressure wave transmission speed advantage, aggressive response is prevented from triggering low-pressure shutdown through a safety margin constraint mechanism, the pressure safety margin is calculated in real time, a gain coefficient is determined according to a nonlinear model, and a final driving instruction is generated. And the dynamic balance of the control response speed and the system physical security boundary is realized.

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 technical field of data center energy control, and discloses a data center cooling system dynamic control method adaptive to equipment aging, and the method comprises the steps: firstly constructing an energy consumption model for controlling a data center cooling system based on equipment parameters and an energy conservation principle; in order to solve the problem of performance degradation possibly caused by long-term operation of equipment, the method monitors operation parameters of key equipment such as a cooling tower, a heat exchanger, a water chilling unit and an air conditioner terminal in real time; according to the method, an equipment energy consumption model is iterated in a rolling manner by using a long-short term memory (LSTM) network model in deep learning, so that the energy consumption model for control is dynamically updated, the prediction precision is improved, and finally efficient model prediction control is realized. The method is not only suitable for the design and construction of a new data center, but also suitable for the transformation and upgrading of an existing data center, and has wide application prospects and practical values.

The invention provides a solid hydrogen storage thermal management system and method, and relates to the technical field of thermal management, and the system comprises a solid hydrogen storage module, a heating liquid storage module, a heat exchanger and a cooling module. The solid hydrogen storage module is composed of a plurality of solid hydrogen storage units connected in parallel, a first control valve and a second control valve. The heating liquid storage module comprises a liquid storage tank and a heater and is communicated with each solid hydrogen storage unit; and the cooling module comprises a water chilling unit and is used for cooling the medium flowing out of the liquid storage tank during hydrogen filling. And in the hydrogen charging and discharging operation, a control valve of the target solid hydrogen storage unit is opened, so that the target solid hydrogen storage unit, the heating liquid storage module and the heat exchanger form a communication loop. The heater heats the heat exchange medium to a first temperature range required by hydrogen desorption, and the water chilling unit cools the heat exchange medium to a second temperature range during hydrogen charging. The temperature of the solid hydrogen storage system can be effectively controlled in the hydrogen charging and discharging process.

The invention relates to the technical field of intelligent control, in particular to an inspection system and method for a heating and ventilation system based on a knowledge graph, and the system comprises a feature extraction module, a graph construction module, an anomaly tracing module, a causal analysis module and a priority module. According to the method, the inlet and outlet water temperature and flow data of the water chilling unit are collected, deviation characteristics are extracted in combination with principal component analysis, the operation state is quantified, an embedded map participates in state judgment, the anomaly detection capacity is improved, initial anomaly and upstream nodes are focused, the analysis range is narrowed, and causal tracing is carried out based on the state influence between devices; by means of a Bayesian network, a state evolution chain is constructed, a time sequence and an inter-structure fault are bridged, task priority is evaluated according to a link starting point and length, equipment dynamic sorting and state updating are carried out, inspection scheduling accuracy and efficiency are improved, and a closed-loop process which is high in recognition accuracy, small in analysis boundary, clear in path and excellent in resource allocation is formed.

The invention provides a system-level collaborative water-cooling energy-saving control device and method based on AI fusion refrigeration, and the device comprises an edge calculation unit which is used for receiving the operation working condition parameters, the output working condition and refrigerating capacity prediction information of a refrigeration system, and a water-cooling system control strategy; the cooperative control unit is used for receiving the control strategy pushed by the edge computing unit and performing cooperative control on each device of the water cooling system; the collecting unit is used for collecting operation parameters of the refrigerating system. By establishing the complete system energy consumption model and the multi-constraint optimization algorithm, global optimization control over equipment such as a water chilling unit, a water pump and a cooling tower is achieved.

The invention provides a water chilling unit fault detection and classification method, system and device and a medium, and the method comprises the steps: collecting the operation data of a water chilling unit, and recording the operation data as characteristic variables; preprocessing the feature variables, extracting fault detection feature variables in the feature variables to generate time sequence data, and storing the time sequence data in a time sequence database; collecting time sequence data in the normal operation period of the water chilling unit in the time sequence database, and constructing a training sample set; carrying out algorithm modeling on the time sequence data by using a MoE algorithm to generate a MoE model, and carrying out parameter configuration; based on the training sample set, using an Adam optimizer and a CosineLR scheduler to train a MoE model; acquiring real-time time sequence data of the water chilling unit, inputting the real-time time sequence data into the MoE model, and identifying abnormal time sequence data; and performing unsupervised classification on the abnormal time sequence data by using a K-means clustering algorithm to determine the fault type of the water chilling unit.

The invention relates to the technical field of unit detection, and discloses an intelligent fault self-diagnosis method for an evaporative condensation integrated screw water chilling unit, which comprises the following steps of: decoupling operation data of a compressor through a blind source separation algorithm, performing image processing on operation data of a condenser in combination with a morphological analysis method, and performing fault diagnosis on the operation data of the condenser; the operation characteristics of the compressor and the operation characteristics of the condenser can be extracted respectively, effective decoupling and clear expression of coupling signals are realized, and by constructing a dual-channel LSTM network comprising a gating fusion unit and introducing a cross-channel coupling gating mechanism, the system reliability is improved. The dynamic coupling relation between the compressor and the condenser can be modeled and regulated in the time dimension, the coupling mechanism between the compressor and the condenser is truly reflected, the time sequence parameter sequence is input into the pre-trained deep LSTM network, the fault types such as control lag and performance degradation can be accurately recognized, and the fault diagnosis accuracy is improved. Therefore, the accuracy and real-time performance of fault diagnosis are improved, and the requirement for intelligent fault management of the water chilling unit is met.

The invention discloses an energy-saving type magnetic suspension centrifugal water chilling unit, and relates to the technical field of refrigeration, the energy-saving type magnetic suspension centrifugal water chilling unit comprises a magnetic suspension compressor, a variable-diameter throttling mechanism and a heat exchange system, the heat exchange system is fixedly installed on the side face of the outer wall of the magnetic suspension compressor, and the variable-diameter throttling mechanism is fixedly installed on the side face of the outer wall of the heat exchange system; an outlet of the magnetic suspension compressor is directly connected with the heat exchange system through a pipeline, and the reducing throttling mechanism is connected with the heat exchange system through a pipeline. The front-stage closed impeller and the rear-stage semi-open impeller are coaxially connected in series, efficient compression without mechanical contact and oil lubrication is achieved, the problems that a centrifugal compressor is high in energy consumption and large in vibration due to mechanical friction are solved, and the energy efficiency ratio of a unit is effectively increased.

The invention relates to an air conditioner temperature and humidity independent control system and method based on two-stage coil chilled water. On the basis of the existing chip plant temperature and humidity independent control based on a fresh air processing unit, a return air drying and cooling coil and a fan filtering unit, low-temperature chilled water outlet of a water chilling unit firstly passes through a fresh air re-cooling coil; return water obtained after the temperature of the fresh air re-cooling coil pipe rises serves as water supply of the fresh air pre-cooling coil pipe and the return air cooling dry coil pipe, so that two-stage coil pipe chilled water is formed, and the return water of the fresh air pre-cooling coil pipe and the return water of the return air cooling dry coil pipe are mixed and then serve as chilled water return water of the water chilling unit. By increasing the return water temperature of the water chilling unit, the average evaporation temperature of an evaporator of the water chilling unit is increased. A bypass is arranged between an inlet and an outlet of the return air cooling dry coil, and the air temperature in the plant is controlled by adjusting the bypass flow through an electric two-way adjusting valve and a PID controller. Compared with the prior art, the invention has the advantages of high unit energy efficiency ratio, low refrigeration energy consumption, simplified system and the like.

The utility model provides a hydropower station unit internal environment anti-condensation simulation test device, which comprises a temperature and humidity control environment box and a temperature-controllable circulating water tank, a cooling-water machine refrigerates water in the temperature-controllable circulating water tank, and two ends of the temperature and humidity control environment box are provided with a water inlet and a water outlet which are communicated with a test bearing water pipe. The temperature-controllable circulating water tank is connected with the water inlet and the water outlet through a water supply pipeline, the water supply pipeline is provided with a water pump, the outer side of the test bearing water pipe is provided with different test areas, the different test areas are coated with different anti-condensation coating samples, an electronic balance is arranged in the temperature and humidity control environment box corresponding to the test areas, and the electronic balance is provided with a condensation collecting disc. And the temperature and humidity control environment box is placed on the vibration platform. The device can simulate the anti-condensation performance of anti-corrosion samples of different processes in different environments.