3973 results about "Cold storage" patented technology

The invention discloses an ice storage air-conditioning system optimization control method based on a dynamic programming algorithm, which comprises the following steps: acquiring operation data of an ice storage air-conditioning system in real time, and constructing a directed graph model, directed graph nodes and interconnection weights among the nodes; transferring and converting a cold storage and release operation mode of the ice storage air-conditioning system in a preset optimization time domain into a shortest path for solving the directed graph model; based on a directed graph model, solving a shortest path by using a dynamic programming algorithm; and on the basis of the shortest path, an ice storage air conditioning system control strategy is generated and issued to a system execution layer, and the control strategy comprises but is not limited to a switching decision of a cold storage and release operation mode in each time period of the optimization time domain and an equipment start-stop state. The cold storage and release operation mode is controlled through the dynamic planning method, efficient matching of cold storage air conditioner loads is achieved, the system energy efficiency is improved, the operation cost is reduced, and operation and maintenance operation is simplified.

The invention relates to an energy management method, device and equipment based on an air conditioning system and a medium. The method comprises the steps that in a preset period, a target cold storage capacity calculation model matched with the current working condition is selected from a plurality of candidate cold storage capacity calculation models according to the pre-obtained photovoltaic power generation power, the air conditioner system load and the change trend of the environment temperature; the environment temperature and the electric energy are input into the target cold storage capacity calculation model, and the cold storage capacity, output by the target cold storage capacity calculation model, of a phase change cold storage material in the air conditioner system is obtained; based on the cold storage capacity, the photovoltaic power generation power and pre-obtained planned electricity consumption probability distribution, analysis processing is conducted, and an energy management strategy of the air conditioning system is obtained; the energy management strategy is used for guiding the air conditioning system to adopt commercial power supply or photovoltaic power supply, whether to utilize the phase change cold storage material for cold storage or not and whether to start a compressor to assist in executing the cold storage process or not. By adopting the method, the power consumption cost can be reduced.

The invention belongs to the technical field of cold chain warehouse management, and particularly relates to a cold storage dynamic scheduling cooperative control method and system based on the Internet of Things, and the method comprises the steps: obtaining operation parameters and environment parameters; according to the operation parameters and the environment parameters, an E-LSTM model is used for analyzing the operation state of the refrigeration equipment, an analysis result is generated, and through a TFT neural network model, the environment parameters and the current time and production plan are combined, and the refrigeration demand change trend is predicted; based on the analysis result and the refrigeration demand change trend, a dynamic scheduling strategy of the refrigeration equipment is generated by combining a scheduling rule and an optimization target and utilizing a PPO algorithm; the scheduling strategy is sent to the PLC control end of the refrigeration equipment through the Internet of Things communication network, the PLC control end performs cooperative control on the refrigeration equipment according to the scheduling strategy, and meanwhile, the execution state of the equipment is fed back to the cloud server. Therefore, the problems of rigid scheduling mode, serious energy waste, insufficient emergency capability and the like in the prior art are solved.

The invention provides a control method of a refrigeration house, a controller, an air conditioner and the refrigeration house. Under the condition that the target goods are not put in storage or taken out of storage, the first information is received, the quality information and the current temperature information of the target goods are obtained in advance, the first target thermal load data are calculated in combination with the environment parameters (such as the temperature parameters) of the current cold storage, and therefore the first target thermal load data are obtained before the goods are put in storage or taken out of storage. And dynamically adjusting environmental parameters (such as temperature parameters) of the refrigeration house according to a calculation result. The method effectively solves the problem that the temperature control of the refrigeration house, especially the refrigeration house with frequent goods input and output, is not accurate enough in the prior art. By adjusting the operation state of the environment adjusting equipment in advance, for example, the compressor frequency, the fan rotating speed and the control valve opening degree of the refrigeration equipment are optimized, the temperature of the refrigeration house can be accurately reduced before goods are put in storage, or the temperature of the refrigeration house can be properly increased before goods are taken out of storage, and therefore the problem of temperature adjustment lag is avoided.

The invention belongs to the technical field of intelligent building energy management, and particularly discloses and provides a dual-mode cold storage air conditioning system based on human flow dynamic cooperative regulation, which comprises the following steps: acquiring dynamic human flow thermodynamic diagram data in real time, and accurately calculating a multi-region linkage cold load demand value based on a density change correlation coefficient and a heat conduction model; the real-time sensing of the flow density fluctuation and the dynamic refrigeration demand matching are realized; the phase change state of the coolant of the cold storage tank and the power consumption data of the refrigerating unit are collected in real time, the cold storage release proportion, the refrigerating power increment and other key parameters are dynamically adjusted, and the energy utilization rate is increased; the inherent defect of non-uniform cold and heat in zone control is overcome by calculating inter-zone cooling capacity migration parameters; temperature feedback data and a people flow thermodynamic diagram are collected in real time, the proportionality coefficient of the fan rotating speed and the air valve opening degree is dynamically adjusted, a closed-loop learning mechanism is formed, and the matching precision of a temperature control strategy and people flow distribution is continuously optimized.

The invention relates to the technical field of cold storage spraying, and discloses a cold storage spraying polyurethane real-time monitoring system based on temperature and humidity feedback, and the system comprises an environment collection module, a state analysis module, a parameter regulation and control module, a dynamic fusion module, a mode matching module and a feedback execution module. The environment acquisition module acquires temperature and humidity data and sets a monitoring interval; the state analysis module divides coating detection nodes and generates feature vectors; the parameter regulation and control module is used for separating influence factors, establishing control rules and acquiring process parameters; the dynamic fusion module identifies the equipment state, performs dynamic compensation and calculates the parameter difference degree; the mode matching module deduces an optimal curing threshold value and generates a deviation sequence; and the feedback execution module analyzes the deviation sequence and generates an adjustment instruction. The system realizes real-time monitoring and accurate regulation and control of the process of spraying polyurethane on the refrigeration house, improves the quality stability of the coating and the construction efficiency, is suitable for refrigeration house construction and maintenance scenes, and has the advantages of high environmental adaptability, accurate parameter regulation and control and the like.

The invention relates to the technical field of cold storage door control, and discloses a cold storage door opening and closing control method which comprises the following steps: acquiring multi-mode sensing information related to operation of a cold storage door system; driving a digital twinborn model based on the multi-mode sensing information, and analyzing the current state and predicting the future state of the cold storage door system by using the digital twinborn model; based on the multi-mode sensing information and the analysis and prediction result of the digital twinborn model, a deep reinforcement learning algorithm is adopted to generate a cooperative control instruction for the cold storage door opening and closing motion and the operation of at least one energy-saving device; and executing the cooperative control instruction. Energy flow is accurately simulated and predicted by using a high-fidelity digital twinborn model, and the actual traffic demand is accurately judged in combination with multi-modal perception, so that a deep reinforcement learning agent can generate a cooperative control instruction with the lowest comprehensive energy consumption as a target, and active intelligent energy saving is realized.

The invention relates to the technical field of electric power intelligent judgment, in particular to an AI-based intelligent electric energy meter fault diagnosis system, which comprises an operation data acquisition module, a jump correlation judgment module, an operation deviation judgment module, a current waveform diagnosis module and an abnormity alarm module. According to the invention, through synchronous acquisition of the current data and the operation data of the refrigeration storage, whether the current jump is related to the gating action is judged, and the refrigeration performance abnormity of the refrigeration storage and the fault type of the intelligent electric meter are effectively identified by further combining multiple cross validation of baseline energy consumption and temperature change; an ideal current waveform is constructed through an AI algorithm and is compared with an actually measured waveform, so that intelligent judgment and classification of fault types are realized; meanwhile, the diagnosis result is linked with the operation and maintenance system, the response efficiency is improved, and the method is particularly suitable for scenes with high requirements on the stability of the electric meter, such as cold chain storage, and has good practical value and popularization prospect.

The invention relates to the field of liquid air energy storage, and discloses a liquid air energy storage and liquefied natural gas coupling efficient power generation device and method. The method comprises the steps that an air liquefaction circulation loop purifies, compresses and cools ambient air and then expands and decompresses the ambient air to obtain liquid air, and the liquid air is transmitted to an air power generation circulation loop; generated air compression heat is stored in the heat storage unit; the air power generation circulation loop generates power through expansion of received liquid air, and generated cold energy is stored in a cold storage unit; the LNG vaporization supply loop pressurizes, evaporates and gasifies liquefied natural gas and then supplies the liquefied natural gas to a user side, generated cold energy is stored in a cold storage unit or directly supplied to the air liquefaction circulation loop, and meanwhile gaseous natural gas naturally released by an LNG tank is collected and conveyed to a combustion chamber. The high-grade heat energy utilization loop conducts heat conduction oil circulation, low-grade heat energy and high-grade natural gas combustion heat energy of the heat storage unit are recycled in sequence, high-grade heat energy is transmitted to the air power generation circulation loop, and heat conduction oil returns to the initial state to continue circulation after releasing the heat energy.

To provide an ice pack set in which a cooling device does not fall even when the ice pack set is lifted by holding a lid body and which is easy to carry. [Solution] Ice bag set 1 comprises ice bag 2, cooling device 3 that houses ice bag 2, and lid body 4 that is screwed to both ice bag 2 and cooling device 3, with a handle attached to lid body 4. With this configuration, lid body 4 is firmly fixed to cooling device 3, so that cooling device 3 will not fall even if ice bag set 1 is lifted by holding lid body 4, and the handle makes it easy to carry.

The invention relates to the technical field of forklift control, and discloses a refrigeration house unmanned forklift anti-skid control method and system based on multi-sensor fusion, and the method comprises the steps: synchronously collecting wheel angular velocity, vehicle body inertia data, motor current, vibration and acoustic signals through a multi-mode sensor, and carrying out the time alignment and feature extraction; inputting a time-space diagram neural network to estimate the friction coefficient and the optimal slip rate of each wheel in real time; and in combination with model predictive control, four-wheel independent torque distribution is optimized in a rolling manner under the condition that physical constraints are met, so that high-precision tracking and dynamic stability are realized. The system comprises a data acquisition module, a data processing module, a friction estimation module, a torque distribution module and an execution module. The attachment change can be sensed in advance, and the safety, efficiency and operation precision of the unmanned forklift in the wet and slippery refrigeration house environment are improved.

The invention discloses a server liquid cooling cabinet group heat dissipation system with phase change energy storage, which comprises two linear array type server liquid cooling cabinet groups, two cooling capacity distribution units, two heat pipe air conditioner all-in-one machines, a multi-channel cold liquid distributor, a multi-channel hot liquid backflow device and the like, the all-in-one machine comprises a heat pipe natural cold source refrigerating loop and a compressor mechanical refrigerating loop, the two refrigerating loops independently or jointly provide an outdoor cold source, heat of all the liquid cooling cabinets is transmitted to the all-in-one machine in the cold capacity distribution unit, and therefore the heat is transmitted out of the machine room. A phase change energy storage flow channel is preferably arranged on the primary side of the intermediate heat exchanger in parallel, cold storage and buffering are achieved by switching a channel, a cold storage and cold release intelligent control strategy based on a lag temperature difference threshold value is constructed, a main cold source linkage and cold source switching smooth transition mechanism is achieved, the thermal stability, operation continuity and response capacity of the system are improved, and the system reliability is improved. The liquid cooling heat dissipation device is suitable for data center liquid cooling heat dissipation scenes with high heat density, high energy efficiency and high reliability requirements.

The invention discloses a Carnot battery system based on phase change cold storage and energy storage and a multi-mode operation method thereof, the Carnot battery system comprises a vapor compression refrigeration unit, a phase change cold storage device and a power cycle unit, in a charging stage, the vapor compression refrigeration unit is adopted to generate cold energy by using off-peak power; in the energy storage stage, cold energy prepared by the steam compression refrigeration unit is stored in a high-density mode through the phase change cold storage device; in the discharging stage, the stored cold energy serves as a cold source, external low-temperature waste heat serves as a heat source, a power circulation unit is adopted, meanwhile, the cold energy and the hot energy are utilized for heat-work conversion, and electric energy is released; according to the Carnot battery system provided by the invention, the round-trip efficiency and the energy storage density of an energy storage system can be improved, the energy storage cost is reduced, and large-scale long-time energy storage is facilitated; according to the multi-mode operation method provided by the invention, through dispatching application of the phase change cold storage device and the charge-discharge cycle, different types of low-temperature heat sources can be fully utilized, and the cold electricity energy consumption requirement of a user side is met.

The invention discloses a pressure storage and heat storage coupled regenerative heat pump power storage system and a regulation and control method thereof. The system is composed of an electric-power generation integrated unit, an energy storage compression and energy release expansion integrated unit, an energy storage expansion and energy release compression integrated unit, a high-temperature heat exchanger, a backheating heat exchanger, a cold energy absorption heat exchanger, a heat storage and cold storage storage tank, a high-pressure gas storage tank and the like. And an energy storage / energy release loop, a heat storage / heat release loop, a cold storage / cold release loop and a pressure heat coupling loop are formed by connecting pipelines. In the energy storage mode, the compressor unit is driven by electric energy to conduct multi-stage compression, and compression heat and expansion cold are stored in the high-temperature storage tank and the low-temperature storage tank correspondingly. In the energy release mode, the heat storage medium and the cold storage medium are sequentially released to supply heat or cold to the circulating working medium, and the expansion unit is driven to drive the generator to generate electricity. According to the method, bidirectional operation of energy storage and energy release is achieved through valve switching and circulation control, and power output and load change are adjusted within a second level through a pressure-heat coupling mechanism.

The invention discloses an air conditioner resource allocation method and system based on a cold accumulation prediction algorithm, and relates to the field of air conditioner cold accumulation, and the method comprises the steps: collecting historical load operation data of an air conditioner, analyzing the historical load operation data through employing a grey relational analysis algorithm, and constructing a cold load prediction model in combination with the cold accumulation prediction algorithm; training the cold load prediction model by using a back propagation neural network algorithm, inputting load operation data collected in real time into the trained cold load prediction model, and outputting a cold load prediction result; and in combination with the cooling load prediction result and the electricity price information, an air conditioner resource allocation strategy is formulated, and a model prediction control algorithm is used for optimizing the allocation strategy. Through integration of the load prediction technology and the real-time electricity price information, the cold load demand of the whole day can be accurately predicted, energy waste is reduced, the energy utilization efficiency is improved, the dynamic electricity price market can be responded, and economic maximization is achieved.

The invention relates to the technical field of intelligent control of refrigeration equipment, in particular to an artificial intelligence-based screw compressor running state control system and method, which comprises a signal acquisition unit, a disturbance identification unit and a compressor control unit, the signal acquisition unit acquires a refrigeration house door opening and closing state time sequence signal and three-dimensional temperature field change data, the disturbance identification unit synchronously locks the door opening moment through a timestamp, divides a core influence area and a stable conduction area, analyzes the correlation between the temperature change rate and the door opening angle and the temperature fluctuation amplitude, and determines the temperature change rate of the door opening angle. And the door opening disturbance or equipment abnormity identification factor is output, and the compressor control unit executes differential regulation according to the door opening disturbance or equipment abnormity identification factor, so that the problems of disturbance misjudgment and regulation rigidity in traditional control are solved, and the operation stability and energy consumption control precision of the compressor are improved.

The invention discloses a cold storage temperature optimization control system and method for a chilled water storage air conditioning system, and relates to the technical field of chilled water storage air conditioning management.The method comprises the steps that 1, a plurality of operation parameters in the system operation process are collected; performing time synchronization and abnormal value elimination on the operation parameters to form a dynamic operation data set; and 2, judging the current hydraulic circulation state based on the dynamic operation data set, and outputting a circulation deviation signal when any index of the total flow of the system, the flow distribution of each branch or the temperature difference change rate of the supplied water and the returned water exceeds a set corresponding threshold value. By constructing the dynamic operation data set and monitoring key parameters such as the system temperature, the flow and the water pump operation state in real time, a unified multi-dimensional data basis is established, support is provided for follow-up operation state recognition and control strategy execution, and the real-time performance and accuracy of control are remarkably improved.

The invention provides a big data information processing method and system based on deep learning. According to the method, an energy distribution model is generated by combining a building information model with infrared thermal imaging data, and a dynamic thermal balance equation set is constructed according to the model so as to generate three-dimensional temperature field reconstruction data. Then, thermal resistance parameters in the energy distribution model, heat flow abnormal area coordinates in the three-dimensional temperature field reconstruction data and air conditioning unit current data are analyzed through a deep learning algorithm, and space-time coupling characteristics of equipment power consumption and thermal environment parameters are extracted; then, a priority regulation and control chain of the temperature control equipment is formulated, and multi-stage linkage rules of the fresh air exchange rate, illumination dimming and cold release of the cold storage tank are covered; finally, the chilled water pump phase difference, the air conditioner group operation mode and the emergency lighting power limiting value are dynamically adjusted, and power load stabilization is achieved. According to the technical scheme provided by the invention, the data information processing efficiency and stability of the large building can be improved.

The invention provides a liquid air energy storage system and method for coupling LNG and an air separation device, and relates to the technical field of energy storage. The liquid air energy storage system coupling the LNG and the air separation device comprises an LNG tank body, an air compression device, a main heat exchanger, a nitrogen circulation device, a liquid air storage tank, a rectification device and a power generation device. Circulating nitrogen is adopted as a heat exchange intermediate medium, so that the temperature zones of the liquefied natural gas vaporization process and the compressed air cooling process are matched, the liquefied natural gas is isolated from the compressed air, and the safety of the system is guaranteed. By adjusting the system flow, on the premise that the vaporization process of the liquefied natural gas is not affected, the air separation subsystem can absorb the cold energy of the liquefied natural gas in the peak period, a cold storage unit of the LNG-LAES is omitted, and the oxygen production energy consumption is effectively reduced. By adjusting the operation load of the air separation subsystem, the multi-cogeneration system can effectively cope with seasonal fluctuation of the vaporization amount of the liquefied natural gas, and the peak regulation capacity of the system is enhanced.

The invention discloses a novel energy storage vehicle-mounted refrigerator and a control method, and relates to the technical field of refrigeration. The device comprises a box body, a novel energy storage heat exchange system and a control system, the novel energy storage heat exchange system comprises an energy storage body containing a cold storage medium; the cooling channel penetrates through the air duct system of the energy storage body; the heat exchange part is communicated with the vehicle-mounted refrigerating system and comprises a first heat exchange structure in contact with the cold storage medium; and the air guide part drives air to flow through the cooling channel. The first heat exchange structure is provided with a channel and / or a heat exchange piece used for circulating a refrigerant of the vehicle-mounted refrigerating system, and the first heat exchange structure is used for efficiently transmitting the cooling capacity of the refrigerant of the vehicle-mounted refrigerating system to the cold storage medium and / or transmitting the cooling capacity to air through the wall of the cooling channel. Optionally, a second heat exchange structure is arranged in the cooling channel to further strengthen heat exchange of the air. By optimizing the heat exchange structure, the efficiency of refrigerating and cold accumulation by using the vehicle-mounted refrigerating system is improved.

The invention provides an intelligent control method and system for a refrigeration house, and relates to the field of control. A refrigeration house space thermodynamic diagram model is constructed based on temperature measuring points, and a historical temperature sequence, a house door opening and closing state sequence, cargo warehouse-in and warehouse-out records and external environment parameters are obtained; predicting a temperature change track of each node in a future control time domain by using a space-time diagram convolutional network; establishing an equipment health state evaluation model based on a hidden Markov model, evaluating the health state of each refrigeration compressor unit and quantifying the health state into an equipment health index; and solving the rolling optimization objective function in the control time domain to obtain an optimal start-stop time sequence and operation power combination instruction of each refrigeration compressor unit and auxiliary equipment, and issuing the combination instruction to a corresponding field controller for execution. The temperature change of each area in the refrigeration house can be accurately predicted, the operation load can be reasonably distributed according to the health condition of the unit, the service life of equipment is effectively prolonged, and the sudden failure risk and the maintenance cost of the whole life cycle are reduced.

The invention relates to the technical field of cold storage equipment, in particular to intelligent regulation and control phase change cold storage equipment, an energy-saving refrigeration house and an intelligent regulation and control method of the energy-saving refrigeration house. The cold storage equipment comprises a plurality of phase change cold storage modules and an intelligent adjusting module, the phase change cold storage modules are all arranged at the top of the refrigeration house, the multiple phase change cold storage modules are divided into the fixed phase change cold storage modules and the movable phase change cold storage modules, and the intelligent adjusting module comprises a processor, a temperature sensing module and a driving mechanism. The driving mechanism is used for driving the movable phase change cold storage module to move up and down in the vertical direction. The energy-saving refrigeration house comprises a refrigerating unit, a goods shelf and the intelligent regulation and control phase change cold storage equipment. On the basis of an existing fixed PCM technology, position adjustability and intelligent feedback serve as the core, in the night cold charging stage, the phase change cold storage module descends to the optimal cold charging position according to a feedback signal of a temperature probe, the cold charging speed of the phase change cold storage module is increased, and efficient and intelligent operation of a cold storage system of the refrigeration house is ensured.

The invention discloses an energy storage and release double-closed cycle carbon dioxide electric heating energy storage system and an energy storage method, and belongs to the technical field of energy storage. The energy storage system comprises an energy storage closed circulation system, an energy release closed circulation system, a heat storage system and a cold storage system; the energy storage closed circulation system and the energy release closed circulation system share the same set of heat exchanger A and heat exchanger B which are connected in series, and the flowing directions of carbon dioxide working media in the heat exchanger A and the heat exchanger B are opposite to the flowing directions of media in the heat storage system and the cold storage system; the heat storage system exchanges energy with a carbon dioxide working medium in the energy storage closed circulation system through a heat exchanger A and a heat exchanger B; the heat storage system exchanges energy with the carbon dioxide working medium in the energy release closed circulation system through the heat exchanger A and the heat exchanger B. The energy storage system can meet the energy storage construction requirements under diversified scenes such as the power supply side, the power grid side and the user side. The method can adapt to energy storage construction requirements in diversified scenes such as a power supply side, a power grid side and a user side.

According to the data center evaporation cold total heat recovery double-energy-storage air conditioning system and the control method, the obvious energy efficiency improvement and economic optimization effects are achieved, the future server heat load, environment parameters and electricity price changes are accurately pre-judged through a composite prediction model of the central control module, and the real-time charge state of the double-energy-storage module is combined, so that the energy efficiency is improved. A collaborative operation instruction with the optimal cost is generated; by means of deep coupling of the evaporative cooling module and the total heat recovery module, a natural cold source is utilized to the maximum extent, and the running time of a conventional refrigeration module is shortened; through cooperative scheduling of the cold energy storage unit and the heat storage unit, efficient cold / heat storage is achieved in the electricity price valley value period, stored energy is released preferentially in the peak value period, and frequent starting and stopping of equipment are avoided; and on the basis of the multi-dimensional constraint optimization decision model, the total operation cost is minimized on the premise that the system meets the safety temperature and humidity requirements of the data center.

The invention belongs to the field of agricultural engineering, and particularly relates to an intelligent edible mushroom incubator based on an artificial intelligence internet of things. Comprising an edible fungus culture box body, and an edible fungus growth frame module, a spray atomization module, a carbon dioxide module, a fresh air circulation module, a visual detection module, a growth light module, a temperature sensing module and an intelligent disinfection module which are arranged on the edible fungus culture box body in an assembling manner, the upper surface, the lower surface, the left surface, the right surface and the rear surface of the edible mushroom incubator body are provided with heat preservation interlayers, and the front side surface is of a double-open cold storage door structure. By means of the Internet of Things technology, the artificial intelligence technology and the like, real-time monitoring of the growth environment of the edible mushrooms and accurate mastering of the growth condition of the edible mushrooms are achieved, so that the production efficiency and yield of the edible mushrooms are improved, and meanwhile the production cost and risk are reduced.

The invention discloses a dynamic energy-saving control method and system for a cold storage based on deep learning and multi-source data fusion, and relates to the technical field of cold storage energy-saving control, and the method comprises the steps: constructing a thermal field sensing network through a fixed sparse sensor array and a mobile thermal field scanning robot, and collecting temperature, humidity and thermal imaging data; reconstructing a three-dimensional thermal pixel field through registration, interpolation and other processing, and performing space-time alignment on the three-dimensional thermal pixel field, equipment parameters and inventory thermal physical properties; constructing digital twinborn deduction thermal field evolution based on a physical information neural network, and recognizing a high-temperature hot spot and a low-temperature safe area in combination with a space-time diagram attention network; the method comprises the following steps: by taking power consumption cost minimization and over-temperature risk controllability as targets, solving an optimal control strategy containing tuyere parameters and compressor frequency by using a multi-agent depth deterministic strategy gradient algorithm, driving equipment to execute targeted cold supply, and enabling a system to comprise a thermal field sensing layer, a data fusion layer, a digital twinning and prediction layer, a decision optimization layer and an execution layer. And accurate temperature control and energy conservation are realized.

The invention discloses a nondestructive testing method and system for the comprehensive quality of harvested bananas, and the method comprises the steps: building a high-precision prediction model through obtaining a hyperspectral image, a spectral feature, an infrared radiation energy distribution image, a visible light image and a dielectric property parameter of the bananas, and carrying out the subsequent nondestructive testing of a target banana through the prediction model. The quality of the collected and cold-stored bananas is monitored in real time, the ripening grade of the banana samples in the shelf life after cold storage and ripening can be accurately evaluated, and the banana samples are classified and sorted.

The invention discloses a cold and heat quadruple supply system and a control method thereof, belongs to the technical field of refrigerating and heating devices, and is designed for solving the problems that cold and heat demand time is not matched and the like. The cold and heat quadruple supply system comprises a first unit used for cooling and heating and comprising a cold and heat all-in-one machine; the second unit is used for supplying high-temperature hot water and comprises a high-temperature heat pump; and the third unit is used for supplying high-temperature steam and comprises a flash tank and a steam compressor. According to the cold and heat quadruple supply system and the control method thereof, cold water, heat supply, hot water and high-temperature steam can be prepared at the same time, the problem that cold and heat demand time is not matched is solved, and use is more convenient; and the operation state and the heat storage and cold storage conditions of the unit can be determined according to the cold quantity and the heat quantity actually required by a user, so that the operation energy consumption is reduced.

The invention provides a control method and equipment of a cold storage system and the cold storage system. The control method comprises the steps that the accumulated cold storage capacity of the cold storage tank in the previous day is obtained; acquiring 24-hour hourly electricity price per day; obtaining a cooling load demand hour-by-hour value in the next 24 hours in the previous day through a prediction technology; and according to the accumulated cold storage capacity of the previous day, the 24-hour hourly electricity price and the cooling load demand hourly value of the next 24 hours, cold release control is carried out on the cold storage tank with the goal of the lowest all-day operation electricity price. The dynamic cold release potential based on different electricity prices can be brought into full play, and the operation cost is saved to the maximum extent.

The invention discloses a linkage control system and method for cold energy storage and release in an energy storage low-temperature interval, belongs to the technical field of energy storage system temperature control, and aims to solve the problems that traditional energy storage cold energy regulation is lagged, cold energy waste is serious, and dynamic changes of working conditions are difficult to adapt. According to the system and method, cold release judgment is triggered based on the environment temperature and the temperature of an energy storage module, a cold release interval is defined by predicting the environment temperature and the temperature of the energy storage module in a fitting mode, a temperature prediction curve is dynamically corrected in combination with real-time working conditions, cold release subintervals are divided, and a cold release control instruction is generated; and meanwhile, the temperature of the energy storage module is monitored in real time to correct the cooling capacity release control instruction, and a cooling capacity recovery instruction is generated by monitoring the temperature of the cooling liquid. Accurate steady-state control over the temperature of the energy storage module and efficient circulation of the cooling capacity are achieved, and the operation economical efficiency and safety of the energy storage system are remarkably improved.