592 results about "Chilled water" patented technology

The invention provides a distributed intelligent cooperative energy-saving control method and device for an industrial air conditioner, electronic equipment and a computer readable storage medium, and is applied to the field of data processing application. The method comprises the following steps: acquiring industrial air conditioner operation related data including environment parameters and equipment state data; an intelligent cooperative control mechanism is constructed based on multi-device cooperation and hierarchical adjustment requirements, and the intelligent cooperative control mechanism comprises a multi-device linkage strategy for dynamically distributing refrigeration resources according to regional cooling and heating loads and a hierarchical adjustment algorithm of a chilled water system and a cooling system, and a control framework for achieving global optimization is formed; processing the environment parameters and the equipment state data to generate a dynamic control strategy; generating target energy-saving control information based on the data analysis result and the dynamic control strategy; and all operation data and control effects generated based on the target energy-saving control information are integrated, a high-energy-consumption link optimization scheme is generated, energy consumption data credible tracing is achieved, and the distributed air conditioning system is aggregated to participate in power grid frequency modulation.

The invention relates to an air conditioner chilled water PID parameter optimization method based on an improved sparrow search algorithm. The method comprises the steps that population initialization, a discoverer updating formula and a follower updating formula in the sparrow search algorithm are improved; a return water temperature difference signal of the air conditioner chilled water system is detected and input to the improved sparrow search algorithm optimization PID controller, and the improved sparrow search algorithm dynamically adjusts the proportionality coefficient, the integral coefficient and the differential coefficient of the PID controller; and the improved sparrow search algorithm iteratively calculates an optimal parameter combination, and the PID controller performs optimal control of the chilled water system based on the optimal parameter combination. The improved sparrow search algorithm carries out population initialization by introducing a reverse learning strategy optimized by a refraction principle so as to enhance the diversity of an initial population; respectively introducing sine and cosine transform and a Cauchy variation mechanism in a position updating stage of the discoverer and the follower; and the PID controller dynamically adjusts Kp, Ki and Kd based on an improved algorithm so as to realize optimal parameter setting.

The invention discloses a heat allocation system based on a heat pump. The heat allocation system comprises a water tank; a water source heat pump; an air source heat pump; a cooling tower; a cooling water circulation system; a hot water circulation system; a chilled water circulation system; an exhaust heat recovery system; wherein the water tank, the water source heat pump, the air source heat pump, the cooling tower, the cooling water circulation system, the hot water circulation system, the chilled water circulation system and the exhaust heat recovery system are connected with one another to realize heat allocation, especially heat allocation of a coating pretreatment electrophoresis production line of a vehicle body or parts forming the vehicle body; according to the system, heat generated when the heat pump / refrigerating unit produces chilled water and / or heat taken away in exhaust air can be recycled and used for heating the heat using tail end. Therefore, the heat which is wasted originally can be fully utilized, the energy consumption is reduced, and the utilization efficiency of energy is improved.

The invention relates to a data center equipment type selection method based on electrical and heating ventilation load linkage, and belongs to the technical field of data center infrastructure design. The model selection method comprises the steps of setting basic data, obtaining the number of machine rooms and the number of IT devices in a single machine room, obtaining the total power of the IT devices, setting an energy efficiency index set value, obtaining the project power consumption scale, obtaining the total cooling load, selecting models of air conditioners at the tail ends of the machine rooms and substations, selecting models of water chilling units, selecting models of heat exchangers, selecting models of cooling water pumps and chilled water pumps and selecting models of cooling towers. And obtaining the total power of the air conditioner, obtaining an energy efficiency index accounting value, and carrying out PUE verification. According to the method, through closed-loop iteration of electrical load-heating and ventilation load-PUE, model selection and quantity selection of all key equipment are completed at a time; professional splitting, repeated adjustment and modification and capacity redundancy caused by traditional serial design are avoided, the design period is remarkably shortened, and initial investment is reduced.

The invention relates to an urban rail transit station ventilation and air conditioning system cooperative control method, device and equipment based on dynamic energy efficiency optimization and a medium. Constructing an energy efficiency model of the ventilation and air conditioning system by combining the energy efficiency curved surface characteristics of the water chilling unit and the cubic law power consumption characteristics of the frequency conversion equipment; an intelligent optimization algorithm is adopted, a dynamic scaling temperature feasible domain of chilled water of a water chilling unit and a frequency interaction limitation domain of frequency conversion equipment are constructed, the feasibility of a temperature set value is kept, meanwhile, coupling constraints in the frequency conversion equipment are decoupled, and an optimal parameter combination is solved; and the optimal parameter combination is issued to an execution layer, the actual energy efficiency ratio deviation of the system is monitored in real time, and energy efficiency model parameter re-calibration or iterative optimization is triggered according to a deviation threshold. Therefore, the overall energy efficiency of the ventilation air conditioning system is stably improved, and efficient operation under the dynamic working condition is achieved.

The utility model provides a heat exchanger assembly and an air conditioner, the heat exchanger assembly comprises an evaporator assembly and a surface air cooler assembly, refrigerant is introduced into a heat exchange tube of the evaporator assembly, chilled water is introduced into a heat exchange tube of the surface air cooler assembly, and the evaporator assembly and the surface air cooler assembly are connected into a whole. The evaporator assembly is located at the upstream position of the surface air cooler assembly in the air flowing direction, when chilled water is mainly used for refrigeration, the surface air cooler assembly works, the evaporator assembly does not work, and air passes through the evaporator assembly to be not cooled and then passes through the surface air cooler assembly to be cooled. According to the utility model, the refrigeration effect is not worsened under the condition that the energy efficiency and the refrigeration performance are considered at the same time, and the required refrigeration effect is ensured.

The invention relates to a variable dew point control method of an all-air air conditioning system, belongs to the technical field of heating ventilation air conditioners, and solves the technical problems of temperature and humidity coupling in the prior art and difficulty in landing of a chilled water temperature resetting technology. The control method comprises the steps of S1, parameter initialization, S2, system starting and stabilizing, S3, air supply dew point dynamic adjustment and cold water valve control, S4, temperature and air supply amount control and S5, fresh air optimization and air valve control. The water supply temperature is adjusted by dynamically adjusting the air supply dew point and dynamically increasing the temperature of the outlet of the surface air cooler, the energy efficiency of the unit is remarkably improved, and the system is suitable for the chilled water temperature resetting technology and compatible with the application of the medium-temperature water supply technology.

The invention provides a wind-water linkage energy-saving control system for an urban rail transit underground station. The wind-water linkage energy-saving control system comprises a management layer; the control layer is divided into three relatively independent and expandable cooperative control subsystems capable of independently acquiring information according to the type of equipment, the control layer comprises a large system cooperative control subsystem, a small system cooperative control subsystem and a water system cooperative control subsystem, and the cooperative control among the cooperative control subsystems is completed by the management layer platform; a control strategy of the urban rail transit underground station wind-water linkage energy-saving control system comprises a system calendar scheduling strategy; a system control strategy; comprising a large system air conditioner adding strategy, a large system air conditioner reducing strategy, a water system starting working condition setting strategy, a water system operation working condition switching strategy, a cooling water temperature difference optimization setting strategy, a chilled water temperature difference optimization setting strategy, a most unfavorable tail end pressure difference setting strategy, a most unfavorable tail end pressure difference control strategy and a water chilling unit adding strategy. A water chilling unit reduction strategy, a water chilling unit alternation strategy and a water chilling unit operation load balancing strategy; and the system cooperative control comprises one-key startup of the water chilling machine room, one-key shutdown of the water chilling machine room, one-key startup of the water chilling unit, one-key shutdown of the water chilling unit, automatic addition of the water chilling unit and automatic reduction of the water chilling unit.

The utility model relates to the technical field of cold storage and energy storage, and provides a chilled water storage refrigerating system. Comprising an energy storage pool, a heat exchanger assembly and a water chilling unit. The energy storage pool is connected with the cold release side of the heat exchanger assembly to form a circulation loop. The user side of the heat exchanger assembly is connected with the user side to form a circulation loop. The chilled water side of the water chilling unit is connected with the energy storage pool to form a circulation loop, and the chilled water side of the water chilling unit is connected with the user side to form a circulation loop; the cooling water side of the water chilling unit is connected with the cooling tower assembly to form a circulation loop. The water chilling unit has the beneficial effects that the water chilling unit stores energy for the fire-fighting energy storage water pool and / or the newly-built energy storage water pool in the electricity utilization trough period at night, and the stored energy in the fire-fighting energy storage water pool and / or the newly-built energy storage water pool exchanges heat with the heat exchanger assembly to refrigerate the user side in the peak period and the peak period in the daytime; after the stored energy in the fire-fighting energy storage water pool and / or the newly-built energy storage water pool is used up, the water chilling unit and the user side are used for heat exchange refrigeration, and the refrigeration cost is reduced.

The invention discloses a heating, ventilation and chilled water cooperative control method and system based on a double-branch deep and shallow feature fusion neural network, and the method comprises the steps: obtaining and preprocessing the historical operation data of a heating, ventilation and chilled water system, and forming standardized training data; a double-branch deep and shallow feature fusion neural network model is trained based on the standardized training data, and the model realizes equipment collaborative prediction through a cold water host load prediction branch and a freezing pump frequency prediction branch in combination with a deep and shallow feature fusion mechanism; acquiring environmental parameters in real time, inputting the environmental parameters into the trained model, and outputting a cold water host load predicted value and a freezing pump frequency predicted value; and correcting the predicted value based on a physical constraint correction algorithm, and outputting an optimization control instruction. The technical problem of poor control reliability caused by insufficient equipment collaboration, insufficient feature extraction and lack of physical constraints in the prior art is solved.

The invention relates to the technical field of air conditioning refrigerating systems, in particular to a chilled water cascade energy-saving control method and a chilled water cascade energy-saving control system for a chilled water cold storage system, and the method comprises the following steps: calculating low-temperature load cold storage capacity, medium-temperature load cold storage capacity and high-temperature load cold storage capacity of a cold storage container; according to a local power grid policy, determining peak, flat and valley periods; determining low-temperature, medium-temperature and high-temperature load cooling time; collecting hourly cold loads and corresponding meteorological parameters of low-temperature, medium-temperature and high-temperature chilled water when the refrigerating system operates; training to obtain a model; according to meteorological parameters of hourly weather forecast of the next day; summing the predicted high-temperature, medium-temperature and low-temperature hourly loads of the next day in the peak period of the power grid; a low-temperature load cold release strategy is formulated; formulating a medium-temperature load cold release strategy; a high-temperature load cold release strategy is formulated; and according to the determined low-temperature, medium-temperature and high-temperature cold release time, opening and closing of each valve of the system are controlled, and each cold release process is completed.

The invention discloses an artificial habitat cold water supply scheme engineering evaluation method and system, and relates to the technical field of coral cultivation. According to the scheme, a Pareto optimal solution set is solved by adopting a multi-objective optimization algorithm, and the blindness and subjectivity of artificial experience selection are avoided by introducing environmental parameters to dynamically adjust the weights of time and space target values, so that a target cold water supply scheme can adapt to the requirements of different coral culture areas, and the coral culture efficiency is improved. And the final implementation effect of the coral reef artificial habitat cold water supply project and the coral protection efficiency are improved.

The invention relates to a group control optimization method and system for a cold station system, and belongs to the technical field of automatic control, and the method comprises the steps: carrying out the minimum optimization of a first-stage group control optimization objective function through a mixed integer programming algorithm with the start-stop state of each device as an optimization variable during the operation of the cold station system, and obtaining a second-stage group control optimization objective function; the start-stop state of each device of the cold station system is controlled during first-stage group control; and on the basis of the first-stage group control, performing minimum optimization on the second-stage group control optimization objective function by taking chilled water outlet water temperature, chilled pump frequency, cooling pump frequency and cooling tower frequency as optimization variables through a model prediction control algorithm, and controlling the operation state of operation equipment when the cold station system is in the second-stage group control. Therefore, energy consumption is reduced as much as possible and energy efficiency is improved.

The invention provides an evaporative cooling type water cooling system and a control method thereof.The evaporative cooling type water cooling system comprises a compressor, a freezing pipeline and an evaporator, a freezing water pump is arranged on the freezing pipeline, and the control method of the evaporative cooling type water cooling system comprises the steps that the frequency of the compressor is adjusted, the water outlet temperature of the freezing pipeline is within a first preset range, and the frequency when the compressor is stable at the moment is obtained; an adjustment coefficient X is obtained according to the ratio of the frequency F1 when the compressor is stable to the maximum set frequency F1max of the compressor; determining the initial adjustment frequency of the chilled water pump through the adjustment coefficient X; and adjusting the frequency of the chilled water pump on the basis of the operation of the initial adjustment frequency of the chilled water pump to enable the evaporation temperature of the evaporator to be within a second preset range. By means of the technical scheme, the problem that in the prior art, an evaporative cooling type water cooling system is high in energy consumption can be solved.

The invention discloses a large-scale cruise ship water chilling unit pipe network cold storage intelligent energy-saving control method based on double-layer deep reinforcement learning, which comprises the following steps: 1, carrying out inherent cold storage engineering modeling on a chilled water pipe network of a water chilling unit to obtain an energy balance relationship between equivalent cold storage capacity and cold release sustainable time of the pipe network and bearable cold capacity; the relationship is used as a physical prior to introduce strategy learning and a security boundary; 2, constructing a double-layer deep reinforcement learning architecture; 3, a safety layer is additionally arranged in the double-layer deep reinforcement learning architecture, the safety layer cuts and projects output feasible regions of a target layer and a sublayer through a hard constraint and barrier mechanism, the water supply temperature, the temperature difference, the start-stop interval, the condensation temperature and the power change rate are ensured, and the maritime affair safety requirement is met; and 4, on the basis of a pipe network inherent cold storage model, a double-layer deep reinforcement learning framework and a safety layer, peak load shifting control of low-load cold charging-high-load cold discharging is achieved, and unit cold energy consumption of the water chilling unit is reduced.

The invention provides an intelligent agent training method of an intelligent calculation data center and an air conditioner control method, relates to the technical field of intelligent calculation data centers, and is used for optimizing an air conditioner control scheme of the intelligent calculation data center. The method comprises the steps that air conditioner historical operation data and computing power cabinet historical operation data of all cooling areas are obtained; based on the historical operation data of the air conditioner and the historical operation data of the computing power cabinet of each cooling area, cooperatively training a first intelligent agent of each cooling area, a second intelligent agent of each machine room and a third intelligent agent of an intelligent computing data center; wherein the first intelligent agent is used for being responsible for controlling the air conditioner of the corresponding cold supply area; the second intelligent agent is used for balancing the temperature of each cold supply area in the corresponding machine room; the third intelligent center is used for balancing chilled water header pipe return water temperature of each machine room; the first agent, the second agent and the third agent are constructed based on a reinforcement learning model.

The invention provides a data room intelligent liquid cooling system, which comprises a liquid cooling cabinet, a water chilling unit and an electric control cabinet, and is characterized in that the liquid cooling cabinet comprises a server position slot and a heat exchanger, the server position slot stores insulation cooling liquid, the heat exchanger is communicated with the server position slot through a cooling liquid circulation pipeline, and the circulation pipeline is provided with a cooling liquid circulation pump; the water chilling unit comprises a refrigerator, a water tank and a cold water circulating pump, the refrigerator communicates with the heat exchanger through a cold water circulating pipeline, and the cold water circulating pump is arranged on the cold water circulating pipeline; the electric control cabinet comprises a data acquisition device, a control device and a frequency converter, and the control device is electrically connected with the cooling liquid circulating pump through the frequency converter and used for controlling the working frequency of the cooling liquid circulating pump according to data acquired by the data acquisition device. According to the intelligent liquid cooling system for the data machine room, the temperature of the cooling liquid can be accurately controlled, rapid cooling and accurate heat dissipation are achieved, and meanwhile energy consumption is reduced.

The invention relates to the technical field of refrigeration equipment intelligent supervision, and discloses a refrigeration equipment operation supervision method and system based on multi-dimensional data analysis, and the method comprises the steps: collecting multi-dimensional operation data of refrigeration equipment; remote start-stop control and operation parameter adjustment are carried out on the equipment, and a control task is automatically executed based on a preset schedule; monitoring equipment states in real time, setting dynamic early warning thresholds according to equipment types and working conditions, and performing graded early warning; fusing and analyzing the multi-dimensional data, generating a correlation analysis chart and calculating a comprehensive energy efficiency ratio; and an operation strategy is dynamically optimized through a data driving model, and the optimal number of water chilling units, the chilled water temperature and the cooling tower fan rotating speed are solved. The system corresponds to the method. According to the application, the problems of single traditional supervision data, low control efficiency, inaccurate early warning and the like are solved, closed-loop supervision is realized, the equipment operation efficiency is improved, and the energy waste is reduced.

The invention relates to the technical field, and discloses a chilled water adjusting device and system based on automatic control, the chilled water adjusting device comprises a valve body, a runner cavity channel is formed in the valve body, and chilled water pipelines are installed at the two ends of the exterior of the valve body through flange structures; the transmission mechanism is arranged at the top of the valve body and comprises a gear motor and a transmission rod, the gear motor is fixed to the upper end face of the valve body through a side frame, a driving gear is fixed to the output end of the gear motor, and the transmission rod penetrates through the top of the valve body and extends into the circulation cavity channel. A valve clack is fixed to the end, located in the runner cavity, of the transmission rod. The detection unit comprises an ultrasonic flowmeter, a temperature sensor and a pressure sensor which are mounted on the inner wall of the circulation cavity channel. Multi-parameter real-time monitoring and intelligent regulation and control are achieved, energy consumption is optimized, safety and reliability are improved, and the problems that a traditional device is single in monitoring, low in control precision, high in energy consumption and insufficient in protection are solved.

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.

The invention relates to the technical field of automatic control, in particular to a pipeline blockage risk identification and early warning method for multiple water chilling units of a central air conditioner, which comprises the following steps: collecting a cold water pressure difference signal, processing temperature difference data, extracting offset characteristics, analyzing a temperature track, identifying sudden change and matching flow response, and judging response abnormity. According to the method, the blockage head is identified through the differential pressure change rate jump, the response sensitivity is enhanced, the temperature difference continuous offset and the differential pressure event are combined, the identification accuracy and time efficiency are improved, the temperature sudden change and the flow response rhythm are superposed, a physical chain verification mechanism is constructed, and the high-frequency abnormal pipe section is identified. The reliability of analysis logic is enhanced, response interval and adjustment period consistency analysis is introduced, the adaptive capacity under complex working conditions is improved, pipe sections are collected according to abnormal frequencies, a multi-feature structured result is output, the data support of maintenance decision is enhanced, and the perspectiveness of blockage recognition is improved through multi-source feature fusion and time sequence rule judgment.

The invention provides an intelligent optimization control method for a factory power station building cold source system, and the method comprises the steps: firstly, building an energy-saving optimization control model for the power station building cold source system through the combined application of a cold source system mechanism and factory actual operation big data; secondly, deeply analyzing a refrigerator operation mechanism and an energy consumption expression, determining the property of a problem to be optimized, and determining an equation or inequality constraint condition according to inherent attributes of refrigerator equipment and an industrial field environment; and secondly, designing a particle swarm optimization algorithm sharing knowledge archives, creating a learning optimization model to guide the direction of swarm intelligence search, calculating and solving to obtain the decoded optimal branch chilled water inlet / outlet water temperature, and finally providing the optimal branch chilled water inlet / outlet water temperature to a control part, so that the COP (Coefficient Of Performance) index is remarkably improved.

The invention belongs to the technical field of building energy management and energy storage, and provides a building load transfer system and method based on graded phase change heat storage, in an energy storage stage, high-temperature hot water prepared by an electric heating device enters a graded phase change energy storage subsystem through a pipeline; in the heat supply stage, building return water is heated by the high-temperature energy storage unit and the low-temperature energy storage unit and then fed into the heat supply tail end; in the refrigeration stage, hot water output by the high-temperature energy storage unit drives the ammonia water absorption refrigerator to generate chilled water, then cooling is conducted through the heat supply tail end, and the high-temperature energy storage unit and the low-temperature energy storage unit are innovatively arranged in series; during energy storage, hot water sequentially releases heat according to the temperature from high to low, and return water sequentially absorbs heat according to the temperature from low to high during energy release and heat supply, so that temperature alignment and gradient utilization of heat energy are realized, loss in the heat transfer process is greatly reduced, and the overall energy utilization efficiency is remarkably higher than that of a traditional single-stage heat storage system; and the application of the phase change energy storage technology in building energy storage and energy utilization is promoted.

A method of controlling a hybrid adiabatic cooling system to cool an interior of a data center includes a step of cooling, by a hybrid adiabatic cooler, a first cooling liquid circulating from a return segment of an outer conduit loop to a feed segment of the outer conduit loop. The method includes a step of exchanging, by a direct liquid cooling unit, heat between a second cooling liquid and the first cooling liquid circulating in the outer conduit loop. The method includes a step of diverting a portion of the first cooling liquid circulating in the outer conduit loop to an inner conduit loop. The method includes a step of exchanging, by a room air handling unit, heat between indoor ambient air and the diverted portion of the first cooling liquid circulating in the inner conduit loop.

The invention discloses a control method, system, device and equipment of a cold water air conditioner and a medium. The method comprises the steps that obtained indoor heat load parameters and environment parameters are input into a pre-established load prediction model so as to conduct load prediction on the load capacity needed by the cold water air conditioner at the current time and output the load at the current time, and the environment parameters comprise the outdoor relative humidity and the indoor relative humidity; a target operation mode is determined according to the outdoor relative humidity, the indoor relative humidity, the current time load and the maximum load of the cold water air conditioner; and the water outlet temperature of the water chilling unit is adjusted to the target chilled water temperature corresponding to the target operation mode, and the water flow of chilled water is adjusted according to the current time load and the target return water temperature difference corresponding to the target operation mode so that the return water temperature difference of the water chilling unit can maintain the target return water temperature difference. According to the method, the most suitable target operation mode is selected by combining the load prediction and the environmental parameters to match the actual demand, so that the system energy efficiency is improved, and the energy consumption is reduced.

The invention discloses a data center multi-cold-source intelligent regulation and control method and system based on characteristic temperature prediction, and the method comprises the steps: building a machine room characteristic temperature model through an entropy method, and obtaining a machine room characteristic temperature value through calculation; establishing a machine room cooling load and characteristic temperature prediction model based on the characteristic temperature value and the historical operation data; constructing an energy consumption mathematical model of main energy consumption equipment of the refrigeration system; establishing a cost function taking cold energy supply and demand balance as a constraint condition; performing rolling optimization on the cost function by using a particle swarm optimization algorithm, and solving to obtain an optimal control sequence of the chilled water supply temperature and the chilled water flow; and the field control cabinet transmits a water supply temperature setting signal to the refrigerator control cabinet for execution, transmits a flow setting signal to the flow control valve for execution, and realizes automatic optimization regulation and control of the refrigeration system through real-time feedback correction. On the premise that the temperature of the data center machine room is stable, the energy consumption of the refrigerating system is remarkably reduced, and the operation efficiency and the intelligent level of the system are improved.

In the conventional refrigerant leakage detection method, when a failure occurs in the temperature sensor or the pressure sensor, the refrigerant leakage may not be detected.SOLUTION: The refrigerant leakage detection system 1 includes the chiller 10 and the input unit 110. The chilled water chiller 10 has a refrigerant circuit 50 through which a refrigerant circulates. The input unit 110 acquires the degree of supercooling and the expansion valve opening degree from the cold water chiller 10. The controller 120 performs refrigerant leakage determination using the degree of subcooling, or refrigerant leakage determination using the expansion valve opening degree. When the priority of the refrigerant leak determination using the degree of subcooling is higher than the priority of the refrigerant leak determination using the expansion valve opening degree, the controller 120 switches between the refrigerant leak determination using the degree of subcooling and the refrigerant leak determination using the expansion valve opening degree on the basis of whether or not the degree of subcooling is normal.SELECTED DRAWING: Figure 4

The invention provides a data analysis system and method for evaluating a data center cold water link state, and belongs to the technical field of data center infrastructure intelligent operation and maintenance. According to the system, multi-source operation data of a cold machine, a water pump, a tail end air conditioner and a cabinet monitoring system in a cold water link are collected, and a dynamic threshold pool is constructed after working condition layering preprocessing so as to identify equipment abnormity; the method comprises the following steps: establishing a directed graph model based on a chilled water system topological structure, constructing a Bayesian network by fusing process logic, and reversely calculating a root cause posterior probability of each device when a cabinet hotspot event occurs; and generating an influence weight ranking list by integrating the abnormal strength of the equipment, the root cause probability, the topological key coefficient and the redundancy weakening coefficient, and further performing quantitative scoring and state grading on the overall availability of the cold water link. According to the method, working condition self-adaptive anomaly detection, robust root cause positioning and executable operation and maintenance priority ranking of the cold water link are realized, and the operation and maintenance efficiency and reliability of the refrigeration system of the data center are improved.

The utility model provides a heat pump system for treating high-salt waste liquid, and relates to the technical field of waste liquid treatment. A first containing cavity and a pipe body communicated with the first containing cavity are formed in an evaporation tank, the first containing cavity is used for containing high-salt waste liquid, a second containing cavity is formed between the pipe wall of the pipe body and the inner wall of the evaporation tank, and an opening is formed in the top of the pipe body. A first coil pipe of the refrigerant loop is located in the first containing cavity and makes contact with the high-salt waste liquid so that the high-salt waste liquid can be boiled and evaporated. A second coil pipe of the cold water module is wound on the outer wall of the pipe body, and the two ends of the second coil pipe are connected with the cold water assembly, so that cooling liquid in the cold water assembly flows through the second coil pipe to absorb heat of steam. According to the technical scheme, an outdoor unit structure is omitted, the cold water module is additionally arranged, the second coil pipe of the cold water module is used for heat exchange, cooling capacity is provided, the comprehensive energy efficiency is improved by 5%-10%, and the waste liquid treatment cost is reduced.

The utility model relates to the technical field of storage devices, in particular to a copper corrosion inhibitor storage device for a lithium bromide chilled water system, which performs position adjustment through an adjusting device, performs lifting adjustment through a lifting device and performs monitoring through the distance of a monitoring device relative to the storage device. The storage device is limited through the limiting device, and the copper corrosion inhibitor is stored through the storage device; comprising a console; the device further comprises an adjusting device, a lifting device, a monitoring device, a limiting device and a storage device, the adjusting device and the storage device are both installed on the operation table, and the lifting device, the monitoring device and the limiting device are all installed on the adjusting device. The adjusting device adjusts the position, the lifting device lifts, the monitoring device monitors the distance, the limiting device limits, and the storage device stores.