1408 results about "Cold storage" patented technology

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 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.

The invention discloses a multi-stage countercurrent gradient cold accumulation type heat exchange system, a control method thereof and a beverage dispenser. The system comprises at least two cold storage units connected in series, a cold exchange pipeline and a heat exchange pipeline. The cold exchange pipeline is an evaporator part of the refrigerating circuit, is sequentially connected in series and flows through the cold storage units, and exchanges cold energy to the cold storage medium. The heat exchange pipeline sequentially penetrates through all the cold storage units, and the fluid to be cooled circulates and exchanges heat with the cold storage medium. The flowing direction of fluid in the heat exchange pipeline is opposite to the flowing direction of refrigerant in the cold exchange pipeline, during continuous output, the temperature of the front-order cold storage unit is lower than that of the rear-order cold storage unit, and a temperature gradient used for countercurrent flow heat exchange is formed and maintained. The volume of the preorder cold storage unit is smaller than or equal to that of the subsequent unit, the volume of the first unit is configured according to single-cup refrigeration requirements, and quick starting is achieved; the volume of a subsequent unit is large and serves as gradient cold accumulation buffering, and the constant temperature of continuous cup discharging is guaranteed. The problems that a traditional beverage dispenser is slow in starting and unstable in continuous cup discharging temperature are solved.

According to the rural air conditioning device, coal or biomass straw is adopted as fuel, the energy storage technology is combined, flue gas waste heat generated by a kitchen range device is efficiently recycled and stored, the stored energy is used for dragging an absorption type refrigerating device to be used for refrigerating and heating air, and an adopted regenerator can flexibly adjust the operation mode and is used for peak clipping and valley filling; the energy-saving kitchen range is used for refrigerating, heating or drying clothes, the power consumption is low, the comprehensive heat utilization efficiency of the kitchen range is greatly improved, the market application space is obvious, and the expected economic, social and environment-friendly benefits are remarkable.

The invention provides a heat preservation box capable of rapidly replacing a cold source. The heat preservation box comprises a box body and cold storage plates; the box body is provided with a box door, a cold storage area, a control area and a cold source area are arranged in the box body, the cold storage area is separated from the control area and the cold source area through a middle partition board, and the control area and the cold source area are separated through a side partition board; a backflow partition board is arranged in the cold source area, the cold source area is divided into a cold source cavity and a backflow cavity through the backflow partition plate, the cold source cavity communicates with the lower portion of the backflow cavity, a plurality layers of cold sourceframes used for containing the cold storage plates are arranged in the cold source cavity, and the cold source cavity communicates with the cold storage area through an air inlet channel; an exhaustfan is arranged on the air inlet channel, the cold storage area communicates with the backflow cavity through a backflow channel, and an air blower is arranged on the backflow channel; a control module is arranged in the control area, a first temperature sensor is arranged in the cold storage area, the exhaust fan, the air blower, and the first temperature sensor are electrically connected with the control module; and box body, the middle partition plate and the side partition plate are all made of vacuum composite plates. According to the heat preservation box, the replacement efficiency of the cold source is improved.

The invention discloses a loading lap joint device for cold chain transportation and sorting and a using method thereof, and relates to the technical field of cold chain transportation, the loading lap joint device comprises a drawing cold storage module, a cold storage module, a cold storage module, a cold storage module, a cold storage module, a cold storage module and a cold storage module, the drawing cold storage module is slidably mounted on a sliding groove in the bottom of a cold chain vehicle compartment, and a cold storage cavity is formed in the drawing cold storage module; the linkage defrosting mechanism comprises a frame type defrosting scraping plate arranged above the drawing cold storage module, a frost collecting groove is formed in the side edge of the cold storage cavity, and scraped frost water is guided into the frost collecting groove through the defrosting scraping plate; the lap joint interface module is arranged at the front end of the drawing cold storage module and comprises a conveying plate and a temperature adjusting air curtain which are movably hinged, and the temperature adjusting air curtain communicates with the cold storage cavity and the frost collecting groove through an air duct and releases cold air; the control unit is used for monitoring the temperature in the compartment and the platform position and adjusting the air speed of the air curtain to control the cold air circulation amount. The system not only can automatically remove the frost layer in the carriage and effectively reduce the environment temperature during loading, but also can be flexibly butted with a sorting line, so that energy conservation, high efficiency and temperature control guarantee of a cold chain loading link are realized.

The invention discloses a modified atmosphere preservation system and method, and aims to improve the preservation suitability of vegetables of different categories and different maturity degrees. The modified atmosphere preservation system comprises a refrigeration house, the in-warehouse sensing unit is used for collecting environmental data in the refrigeration storage in real time; the outside-refrigeration-house sensing unit is used for collecting outside-refrigeration-house environment data in real time; the respiration rate prediction unit performs fruit and vegetable respiration rate prediction calculation according to the environmental data in the refrigeration house; and the set point vector calculation unit is used for performing system energy consumption prediction calculation based on the cold storage external environment data and the cold storage internal environment data, performing optimal solution calculation of the comprehensive optimization index according to an energy consumption prediction calculation result and a fruit and vegetable respiration rate prediction calculation result, and performing optimal solution calculation of the comprehensive optimization index according to an optimal solution calculation result of the comprehensive optimization index. Outputting an optimal environment parameter set point vector; the decoupling compensation unit is used for performing error calculation according to the in-library environment data and the optimal environment parameter set point vector; and the PID control unit is used for generating a control signal according to an error calculation result.

The invention discloses a layered cold storage monitoring system and method for a workshop intelligent water cold storage device. The system comprises a cold storage tank, a layered sensing module, a flow field adjusting module, a cooling capacity metering module, an edge control module and a cloud collaboration module. The layered sensing module collects temperature, density and turbidity parameters in a distributed mode along the inner wall of the cold storage tank, and the cooling capacity metering module collects flow and temperature difference parameters. The edge control module recognizes cold and hot water areas and thermocline features through gradient calculation and a threshold value judgment algorithm, and regulates and controls the opening degree of a water distributor and the position of a spoiler of the flow field regulation module; and the cloud collaboration module stores the data and optimizes the recognition model through a random forest algorithm. According to the method, closed-loop monitoring is realized through initialization, multi-parameter acquisition, layered identification, flow field adjustment and data uploading. Layered monitoring precision is improved, cold and hot water mixing is inhibited, workshop air conditioner requirements are met, and energy consumption and fault risks are reduced.

The invention provides a vaccine cold storage AGV operation navigation method and a cold storage AGV, and the operation navigation method comprises the following steps: S1, dividing cold storage regions by taking temperature collection points as boundaries, and determining the temperature distribution in each region; s2, obtaining AGV position data and temperature data of a current position in real time; and S3, determining a starting point and a target point, establishing a multi-objective function with the minimum temperature variation, the minimum path length and the minimum energy consumption, and solving the multi-objective function to obtain a dynamic planning optimal path. According to the invention, path planning is carried out through temperature distribution in each area, temperature shock areas are avoided, temperature fluctuation of vaccines in the transportation process is reduced, and the damage rate of goods is reduced; the adaptability of the distance, the temperature and the energy consumption is considered in the path planning of the multi-objective function, so that the operation efficiency is improved; the dynamic energy consumption distribution strategy reduces the energy loss in a low-temperature environment, prolongs the endurance time of the AGV, and reduces the charging frequency of the AGV entering and exiting the refrigeration house, thereby reducing the disturbance to the temperature field in the refrigeration house.

The invention relates to the technical field of shuttle vehicle scheduling, and discloses a shuttle vehicle scheduling method for a refrigeration house, and the method comprises the steps: obtaining the real-time electric quantity of a shuttle vehicle, the temperature of each floor of the refrigeration house, the current position of the shuttle vehicle, and a to-be-executed task; based on the temperature of each floor of the refrigeration house, obtaining the electric quantity attenuation rate of the shuttle vehicle on each floor of the refrigeration house; based on the real-time electric quantity, the electric quantity attenuation rate of the current floor of the refrigeration house where the shuttle vehicle is located and the temperature of the current floor of the refrigeration house where the shuttle vehicle is located, obtaining the remaining workable time of the shuttle vehicle; determining a charging constraint value based on the remaining workable time and the temperature of the current floor of the refrigeration house where the shuttle vehicle is located; planning to obtain a plurality of scheduling paths based on the current position and the to-be-executed task; based on the remaining workable time and the charging constraint value, obtaining temperature weight coefficients corresponding to the plurality of scheduling paths; and based on the remaining workable time, controlling the shuttle vehicle to schedule along the scheduling path corresponding to the minimum temperature weight coefficient. Therefore, the scheduling efficiency of the shuttle vehicles is improved.

The invention relates to the field of intelligent temperature control, and provides a refrigeration house PID control parameter optimization method and device, equipment and a storage medium. The method comprises the steps of collecting temperature data and energy consumption data of the refrigeration house at a constant-temperature stage; based on the temperature data and the energy consumption data, a mathematical model representing the mapping relation between the temperature and the energy consumption of the refrigeration house is established; constructing a deep reinforcement learning model based on a preset reward function and a mathematical model giving consideration to the temperature stability and energy consumption optimization of the refrigeration house; and through interactive learning of the intelligent agent of the deep reinforcement learning model and the refrigeration house environment, determining optimization parameters used for adjusting refrigeration house PID control. According to the refrigeration house PID control parameter optimization method, device and equipment and the storage medium provided by the invention, the mathematical model of the temperature and energy consumption mapping relation of the refrigeration house can be effectively established, the deep reinforcement learning model is constructed through the reward function and the mathematical model, and the optimization parameters of refrigeration house PID control are adjusted through deep reinforcement learning.

The invention discloses an optimal control method for metering a cold and heat storage air conditioning system in a laboratory, and relates to the technical field of optimal control, and the method comprises the following steps: predicting hourly cold load and heat load in a future preset period, and generating hourly load prediction data; obtaining time-of-use electricity price information, and generating electricity price time period division data; formulating an energy storage strategy based on hourly load prediction data and electricity price time division data; the method specifically comprises the steps that in the valley electricity price period, when it is predicted that a load demand exists in the future peak electricity price period, a cold and heat source module is controlled to operate, energy is stored in a cold and heat storage module till the rated capacity is reached or the valley period is ended, and the temperature and humidity in a laboratory are maintained within a first set range through a tail end processing module in the energy storage period; and formulating an energy release and conventional operation strategy based on hourly load prediction data, electricity price time division data and the real-time energy storage state of the cold storage and heat storage module. The method has the effect of improving the optimization control efficiency.

The invention relates to the technical field of fresh-keeping packaging of brasenia schreberi tender shoots, in particular to a fresh-keeping packaging method and system for brasenia schreberi tender shoots. The method comprises the following steps: pretreating brasenia schreberi tender shoots to induce pore closing of the brasenia schreberi tender shoots; performing glue protection treatment to form a composite glue protection film on the surfaces of the tender shoots; loading the treated brasenia schreberi tender shoots into a tender shoot packaging box integrated with a controlled atmosphere microcapsule release unit, and sealing, so as to realize shape integrity preservation of the brasenia schreberi tender shoots; sequentially carrying out water bath and ultrahigh pressure sterilization on the sealed tender shoot packaging box; and finally, refrigerating to realize fresh-keeping packaging of the brasenia schreberi tender shoots. On the basis of a box body structure of a multi-layer composite structure, in cooperation with an inner wall anti-sticking design and a built-in controlled atmosphere microcapsule release unit system, morphological integrity preservation of brasenia schreberi tender shoots is achieved, non-acidification and chemical preservative-free high-quality preservation can be achieved in combination with glue protection treatment and gradient physical sterilization of the brasenia schreberi tender shoots, and the preservation effect of the brasenia schreberi tender shoots is improved. And the colloid retention rate is greater than 95%.

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 relates to the field of fruit quality nondestructive testing, in particular to a winter peach cold storage shelf life classification and quality nondestructive testing method based on spectrum-image feature fusion and stacked model fusion, and the method is used for accurately classifying the winter peach cold storage shelf life and predicting the key quality of the winter peach cold storage shelf life based on hyperspectral imaging and deep learning technologies. The method comprises the following steps: acquiring a hyperspectral image in a wave band range of 400-1000nm, and extracting a region of interest through mask processing; phenotype data of the samples are measured and classified, and abnormal samples are removed; through spectrum preprocessing and characteristic wavelength screening, effective pixel size and area parameters are extracted, and a multi-task integration model is constructed. The model not only realizes 100% accurate classification of the shelf life of the winter peaches, but also predicts the sugar degree (R2 = 0.8451) and the hardness (R2 = 0.8798), and supports a pseudo-color visual distribution diagram and fruit diameter and weight prediction. The method is high in precision, good in stability and high in automation degree, and effective technical support is provided for quality management and market circulation after agricultural products are harvested.

The invention discloses a condensation pressure reference control method and device for an ammonia absorption type refrigeration system. The method comprises the following steps: establishing an absolute physical reference, namely a target condensing pressure, determined by ammonia physical properties, wherein the value is uniquely determined at a given condensing temperature; the condensing pressure is detected in real time; and with approaching as a target, working condition parameters of the ammonia purification device are adjusted, so that the purity of ammonia vapor entering the evaporator is close to 100%. The device is an electronic control or self-operated machine. According to the method, the condensing pressure is increased to be an active physical reference based on the double-rigidity constraint of fixed ammonia charge and determined condensing pressure, so that the system automatically approaches to a theoretical optimal state in a wide temperature range, the rectification fault risks such as tower flooding and tower flushing are remarkably reduced, the energy efficiency is improved, and the method is suitable for industrial waste heat recovery, refrigeration houses and other scenes.

The invention discloses a vehicle-mounted refrigerator based on a shared compressor. The vehicle-mounted refrigerator based on the shared compressor comprises a heat preservation shell, an inner container and a cold accumulation module are arranged in an inner cavity of the heat preservation shell, the cold accumulation module comprises a cover body fixedly connected to the outer side wall of the inner container, a cold accumulation cavity is formed in an inner cavity of the cover body, a cold accumulation heat exchanger is arranged in the cold accumulation cavity, and cold accumulation liquid for immersing the cold accumulation heat exchanger is arranged in the cold accumulation cavity. The cold storage heat exchanger comprises an upper collecting pipe and a lower collecting pipe, the upper collecting pipe and the lower collecting pipe are communicated through a plurality of radiating pipes, the upper collecting pipe is provided with a water outlet pipe extending out of the heat preservation shell, and the lower collecting pipe is provided with a water inlet pipe extending out of the heat preservation shell. The problem that potential safety hazards are large in the prior art is solved.

The invention relates to the technical field of energy storage and comprehensive utilization, in particular to an equipment reuse type liquid air energy storage system and method for combined cooling and power, the system comprises a compression unit, a cold storage unit, an organic Rankine cycle unit, a heat storage unit and an expansion unit, and the system operation is divided into an energy storage stage and an energy release stage. In the energy storage stage, after the environment air is subjected to multi-stage compression, LNG high-grade cold energy is used for assisting liquefaction and storage, medium-grade cold energy drives ORC cycle power generation, and low-grade cold energy precools and compresses inlet air according to needs; and in the energy release stage, liquid air is gasified to drive ORC cycle and an expansion machine to generate power, the cold energy is recycled by the cold storage unit, and the reversible heat exchanger group realizes reuse of interstage cooling and heating functions. Through LNG cold energy gradient utilization, equipment function integration and multi-system cooperation, the problems of equipment redundancy, low efficiency and high cost of an existing system are solved, the comprehensive energy utilization rate and the system stability are improved, and electricity-cold-gas multi-energy combined supply is achieved.

The invention relates to the technical field of electric power energy storage control, and discloses a multi-dimensional state driven energy storage cold energy storage optimization control system and method, and the method comprises the steps: collecting the multi-dimensional state parameters of an energy storage system and the price of an electric power market, and judging a current operation time period mode; in the active cold storage mode, target cold storage capacity is determined according to the maximum allowable heat capacity buffer margin, and cold pre-storage is completed; in the cold capacity release mode, cold capacity-heat capacity collaborative multi-stage judgment is executed, the minimum critical mass flow rate meeting the heat exchange requirement is reversely solved, the minimum critical mass flow rate is mapped to a discrete control gear of the liquid cooling circulating pump to generate a final rotating speed instruction, and meanwhile closed-loop flow correction is executed; according to the method, the minimum critical mass flow rate is accurately solved, the rotating speed of the liquid cooling circulating pump is remarkably reduced while battery thermal inertia buffering is utilized, parasitic energy consumption is greatly reduced through the cubic relation between pumping power consumption and the rotating speed, and the problem that electric charge income is counteracted due to excessive pumping is solved.

The invention provides an edible coating fresh-keeping liquid suitable for low-temperature refrigeration of harvested tropical fruits and a storage and fresh-keeping method. The low-temperature cold storage edible film coating fresh-keeping liquid is soybean oil. When bananas or mangoes are coated with the edible coating liquid for low-temperature refrigeration, the occurrence of fruits under low-temperature refrigeration can be effectively inhibited, and the sensory quality and shelf life of the fruits can be maintained. Bananas or mangoes are subjected to soybean oil coating treatment, so that the relative conductivity of fruit tissues can be effectively reduced, and the integrity of fruit cell membranes is maintained; according to the present invention, the production of H2O2, O2 <-> and MDA can be significantly reduced, the activity of POD can be inhibited, and the activity of PPO, SOD and CAT can be enhanced so as to activate the anti-oxidation defense system of fruits, reduce the oxidative damage caused by cold injury, and enhance the accumulation of osmotic regulation substances; the content of antioxidant carotenoid can be increased, so that the stress resistance of the fruits is improved, and the cold injury of the fruits in the low-temperature storage process is reduced.

The invention relates to the technical field of environment control, and discloses a time-sharing optimization control method for a cold storage central air conditioner based on a large model, which comprises the following steps of: firstly, acquiring a system cold demand quantity and an environment working condition predicted value at a future moment through a pre-trained deep learning model, and estimating a current cold storage charging and discharging state in combination with a thermal front degradation correction algorithm; then, a non-linear flow resistance model associated with the porosity and the cold storage state is established, and a hydraulic high-energy-consumption interval in which fluid resistance is highly sensitive to flow change is recognized; and on the basis, deducing the energy efficiency trend of the water chilling unit by utilizing the environment temperature to determine load distribution, actively inhibiting cold storage output in a high flow resistance interval through energy efficiency gating logic, and finally generating a time sequence control strategy containing flow and load instructions to realize optimal scheduling of system-level energy efficiency.

The invention provides a cold storage type multi-temperature co-transportation path optimization method considering carbon emission under a time-varying road network, and the method comprises the steps: obtaining vehicle resources of a logistics center, and the product quantity and position information of a pickup place, and building a time dependence function of travel speed and a calculation function of carbon emission cost based on a current pickup transportation network; analyzing the satisfaction degree of the product quality based on the value loss generated in the process of driving from each pickup place to the logistics center; based on the calculation function of the carbon emission cost, a multi-objective optimization model with the purpose of minimizing the total transportation cost and maximizing the product satisfaction degree is constructed, and constraint conditions of a multi-temperature co-transportation path planning model are constructed based on vehicle resources and goods taking place information; and solving the multi-objective optimization model by using a two-stage optimization method combining K-means multi-dimensional clustering and a fast non-dominated sorting genetic algorithm to obtain the optimal departure time and transportation path. According to the method, the energy efficiency utilization rate in the cold chain transportation process is improved, and the distribution path planning is more scientific and reasonable.

The invention relates to the technical field of power regulation, in particular to a refrigeration control strategy optimization method based on cooling capacity storage and electricity price change, which comprises the following steps of: generating an energy efficiency parameter correction result by collecting a cooling capacity and refrigerant temperature difference, calculating a cooling capacity demand and a cooling capacity difference value and combining real-time electricity price and energy efficiency parameter normalization; the method comprises the steps of calculating a difference value between a cooling capacity demand and a refrigerating capacity, analyzing a power correction coefficient and an electricity price section, setting a cold storage instruction and a cold release instruction, adjusting a cold storage or cold release strategy in combination with an electricity price trend, generating an electricity price response control strategy set, and optimizing cold storage power adjustment, and comprises the steps of calculating a difference value between the cooling capacity demand and the refrigerating capacity, combining real-time electricity price and energy efficiency parameter normalization and fitting an energy efficiency parameter correction result; based on electricity price segmentation analysis, a proper cold storage or cold release instruction is set, the energy efficiency of equipment in a peak-valley electricity price interval is improved, the electricity price trend is analyzed to adjust a cold storage or cold release strategy, energy consumption waste is avoided, finally, the electric energy utilization efficiency is improved, the cost is reduced, and the flexibility and adaptability of a refrigeration trolley are enhanced.

The invention discloses a low-temperature phase change energy storage material and a preparation method thereof, and relates to the technical field of cold storage materials. The provided organic phase-change material is formed by jointly matching alkane and fatty alcohol, the melting temperature of the organic phase-change material is 0-10 DEG C, the crystallization temperature is-5-5 DEG C, and the melting temperature and the crystallization temperature can be adjusted according to requirements. The material has high latent heat of phase change, and can be efficiently used in scenes of cold chain transportation, refrigeration house energy conservation and the like. The material is non-toxic and harmless, has stable cycle performance, and effectively overcomes the defects of poor cycle performance, easy phase separation, large supercooling degree and the like of an inorganic material. The material is applied to cold storage energy conservation or cold chain transportation, and the effects of energy conservation, environmental protection and electric charge saving can be achieved by utilizing the valley electricity energy storage principle.

The invention discloses a passive radiation-cold storage composite box body and a preparation method. The box body sequentially comprises a composite radiation film, a heat insulation layer and a cold storage layer from outside to inside. The outer-layer radiation film is composed of an elastic organic matrix and high-reflection inorganic particles such as barium sulfate, has high solar reflectivity and mid-infrared high emissivity, and can effectively restrain solar absorption and achieve radiation heat dissipation in the daytime. The heat insulation layer is made of XPS, EPS, aerogel felt and other low-heat-conduction materials so as to reduce external heat transfer. Phase change microcapsules are dispersed in the cold storage layer, and flake graphite and other high-thermal-conductivity fillers can be added to improve the cold transfer efficiency and temperature uniformity. And the phase-change material realizes automatic cold storage and cold release through a latent heat mechanism, so that the temperature in the box body is kept stable. Through the synergistic effect of radiation refrigeration, heat insulation and phase change cold storage, long-time and recyclable passive cold chain temperature control is achieved, and the device has the advantages of being simple and convenient in structure, high in cost performance, flexible in application, uniform in internal temperature distribution and the like.

The utility model discloses a kind of phase-change cold accumulator ice boxes for edible fungi, relate to ice box technical field, including ice box body, the inside of ice box body is sequentially provided with first temperature cavity, second temperature cavity, third temperature cavity from top to bottom, first temperature cavity, second temperature cavity and third temperature cavity are communicated with liquid inlet pipe and liquid outlet pipe, the side wall of ice box body is fixedly installed with two lugs, the surface of lug is provided with round hole, and the other side wall of ice box body is provided with splicing mechanism.The utility model is by being provided with first temperature cavity, second temperature cavity and third temperature cavity in the inside of ice box body, different temperature's cold accumulator can be respectively injected into three temperature cavities through liquid inlet pipe, to realize temperature division, form different temperature interval, to preserve edible fungi of different temperature adaptability. And through splicing mechanism, angle adjustment between two ice box bodies can be carried out, avoid the problem that the angle of existing ice box is limited after splicing.

This utility model relates to the field of cold storage, specifically a cold storage for preserving meat products. It includes a main body of the cold storage, with several partitions inside. Gas flow between these partitions can be controlled, or the partitions can be sealed off. A gas distribution mechanism is also provided between these partitions, allowing for the independent input and output of cold air within each partition. In this utility model, when the amount of meat stored inside the cold storage is small, the rotating plate at one end of a branch pipe on the upper side of an empty partition can be twisted to close the corresponding semi-circular gas inlet. This shuts off the cold air input to that space, thereby reducing the refrigeration space and helping to reduce power consumption.

A plant propagation composition consisting of an aqueous willow extract with natural indole-3-butyric acid and salicylic acid, a moringa leaf extract, aloe vera gel and coconut water, wherein the pH of the composition is adjusted to 5.5-6.5 and is intended for cold storage to promote adventitious root formation in cuttings.

The invention belongs to the technical field of green buildings, and particularly relates to an intelligent regulation and control cold storage system for a green building. And a greening land is arranged on the roof. The ventilation pipe and the air guide pipe are cooled through the heat conducting plate arranged at the bottom of the water tank, heat exchange is conducted between all the air blocking pieces on the right portion of the air guide box and water in the water tank, and then airflow flows at the low flow speed and makes contact with all the air blocking pieces on the right portion of the air guide box; the air flow is cooled through all the air blocking pieces on the right side of the air guiding box, when the air flow flows through the ventilation pipe and the air guiding pipe, the temperature of the air flow is reduced, the air guiding pipe is blocked through the two air blocking pieces, air is blown to the surface of the roof through the exhaust pipe, and therefore heat of the roof is taken away through the cooled air flow; and therefore, the surface of the roof is cooled, the temperature of the surface of the roof is reduced, the indoor temperature can be reduced, and energy consumption is reduced.

The application is suitable for the field of refrigeration technology, and provides an ice maker heat preservation energy-saving management method based on Internet of Things remote regulation and control, which comprises the following steps: acquiring public frequency data about an ice maker group through the Internet of Things, and analyzing and generating auxiliary decision parameters; based on the auxiliary decision parameters and real-time detection data acquired through local sensors, generating a prediction signal by performing logical judgment on whether a door opening intention is met; in response to the prediction signal, controlling a controllable heat conduction switch arranged between the inner wall of an ice storage box and a cold storage module to switch from a disconnected state to a conductive state, and controlling the conduction parameters of the controllable heat conduction switch; acquiring state data of the ice maker door body, and generating a disconnection instruction for controlling the controllable heat conduction switch to switch to a disconnected state when the door body switches to a closed state. The application deeply integrates Internet of Things remote regulation and control and local sensing, and reduces refrigeration energy consumption through intention prediction and instantaneous cooling of the cold storage module.