2353 results about "Cold storage" patented technology

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 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 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 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 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 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 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 relates to a liquid air energy storage and terrestrial heat coordinated underground space air regulation and control system and method. Comprising a first-stage compressor, a second-stage compressor, a third-stage compressor, an expansion refrigerator, a first-stage compression heat exchanger, a second-stage compression heat exchanger, a third-stage compression heat exchanger, a cold box, a separator, a liquid air storage tank, a cryogenic pump, an evaporator, a cold storage circulating pump, a cold storage box, a compression heat exchange circulating pump, a compression heat storage box, a first heater, a second heater and a third heater. The system comprises a first air expander, a second air expander, a third air expander and a generator. The regeneration heater is used for guiding the compression heat generated by the compressor into the regeneration heater for regeneration and / or guiding the geothermal energy output by the geothermal energy output end into the regeneration heater for regeneration; the rotary wheel dehumidification device is used for performing cryogenic drying on the wet air; the fresh air processing unit is composed of a fresh air filter, a regeneration fan, a regeneration filter and an air supply fan.

The invention provides a distributed cold chain load and photovoltaic consumption multi-target cooperative regulation and control method and system, and the method comprises the steps: inputting the operation data of a cold chain load into a pre-constructed cold chain load time-space characteristic model, obtaining the fluctuation of the cold chain load, and carrying out the optimization with the minimization of the fluctuation of the cold chain load as a target, and obtaining a cold storage time window; the method comprises the following steps: inputting current operation data of cold chain-energy storage-photovoltaic into a pre-constructed cold chain-energy storage-photovoltaic multi-target aggregation regulation and control model, taking a cold storage time window as a constraint boundary, and adopting a third-generation non-dominated sorting genetic algorithm and a distributed alternating direction multiplier method for solving; a multi-target cooperative regulation and control result with the maximization of the photovoltaic consumption rate, the minimization of the operation cost and the optimization of the fresh-keeping quality of the agricultural products as targets is obtained; the economical efficiency, the reliability and the environmental protection property of the distributed energy system are remarkably improved, and an efficient, reliable and low-cost cooperative regulation and control scheme is provided for the cold chain energy system under the permeation of high-proportion renewable energy sources.

The invention provides a penaeus vannamei quality prediction and grade evaluation method and system, and belongs to the field of penaeus vannamei cold-chain transportation process quality prediction, and the method comprises the steps: S1, constructing a penaeus vannamei data set, and carrying out the dynamic time-varying coupling correlation graph generation, convection-diffusion cooperative information propagation, multi-task joint optimization and end-to-end MLP prediction to obtain a penaeus vannamei data set; obtaining a prediction result of the quality of the penaeus vannamei; s2, splicing is performed according to the prediction result and the actual quality data, and a feature matrix is constructed; clustering the feature matrix by using a rule fusion K-means + + clustering method to obtain an optimal clustering center set; and S3, based on the prediction result and the clustering center set, carrying out dynamic prediction and evaluation on the quality of the penaeus vannamei in the refrigeration state in a period of time in the future. According to the invention, an intelligent solution is provided for quality monitoring in cold-chain logistics, and economic loss caused by quality deterioration is significantly reduced.

The invention provides an intelligent transportation device for fish fry keep-alive transportation and a water treatment process, and the device comprises a heat preservation box body, an environment sensor, a fish fry state indirect monitoring sensor, and a flexible buffer type self-adaptive isolation device, an intelligent environment regulation and control module and a dynamic buffer device which are detachably connected with the heat preservation box body, the intelligent environment regulation and control module comprises a water temperature regulation module, a water quality regulation module and a gradient environment adaptation module, the gradient environment adaptation module automatically regulates values of all parameters according to a preset environment parameter change curve, and meanwhile, the change rate and the water treatment process of the environment parameters are regulated in real time according to data fed back by the water quality regulation module; and the dynamic buffer device dynamically adjusts the damping coefficient of the buffer unit according to the pressure and acceleration data in the cold storage transportation device. The device can accurately match the optimal fish fry transportation environment with the adaptive rhythm of the marine ranching environment, greatly reduces the stress damage of the fish fry in the transportation process, and improves the adaptive capacity of the fish fry to the target environment after transportation.

The invention relates to the technical field of refrigeration control of refrigeration houses, and discloses a clustered defrosting control method based on EC motor refrigeration houses, which is applied to a refrigeration house cluster (N is greater than or equal to 3) consisting of N air coolers carrying EC motors, and each EC motor is provided with an input power detection device. The clustered defrosting control method comprises the following steps that S1, after a cold storage cluster is started, a defrosting detection initialization stage is started; an input power detection device of an EC motor is utilized, the defrosting requirement is judged through initial fixed rotating speed power detection and periodic power comparison, then according to the real-time temperature of the refrigeration house and the frosting degree of each air cooler, the defrosting task is allocated according to needs, and only the air coolers meeting the defrosting threshold value are started for defrosting. And meanwhile, other air coolers are kept in a refrigeration state to stabilize the warehouse temperature, a traditional grouping defrosting mode is not needed, the operation efficiency of a cold storage cluster and the warehouse temperature stability are improved, and energy consumption is reduced.

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 and cold storage water body system based on a multi-head water distributor and a working method of the heat and cold storage water body system, and belongs to the technical field of water body heat storage. High-temperature water is stably injected into the upper layer of a water body through the suspended water distributor at the top, and low-temperature water is injected through the exposed water distributor at the middle lower part, so that mixing of cold water and hot water is reduced to the greatest extent, and stable temperature stratification is quickly formed and maintained. Therefore, the invalid mixing loss of cold and heat is obviously reduced, and the effective heat storage / cold storage capacity and the heat exchange efficiency of the water storage device are greatly improved. The floating type heat preservation top cover directly covers the water surface, upward evaporation heat dissipation and convection heat dissipation on the water surface are effectively blocked, heat loss of the water body is greatly reduced, the heat preservation performance of the system is excellent, and the energy storage efficiency is high.

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 relates to a constant-pressure heat compensation compressed air energy storage system relying on a pumped storage power station and an operation method of the constant-pressure heat compensation compressed air energy storage system. The invention discloses a constant-pressure heat compensation compressed air energy storage system relying on a pumped storage power station. The constant-pressure heat compensation compressed air energy storage system comprises a constant-pressure compressed air energy storage subsystem and a water source heat pump subsystem. The constant-pressure compressed air energy storage subsystem comprises a constant-pressure compressor, a first heat exchanger, a constant-pressure air storage chamber, a second heat exchanger and a constant-pressure expansion machine which are sequentially connected through pipelines; the constant-pressure gas storage chamber is connected with an upper reservoir of the pumped storage power station through a pressure balance pipeline; the water source heat pump subsystem comprises a heat storage tank, a second heat exchanger, a heat pump expansion machine, a cold storage tank and a heat pump compressor which are sequentially connected through pipelines; the cold storage tank is connected with a lower reservoir of the pumped storage power station through a heat exchange pipeline; the constant-pressure compressed air energy storage subsystem and the water source heat pump subsystem are connected through a second heat exchanger and achieve energy interaction.

The invention relates to the technical field of refrigeration energy efficiency monitoring of refrigeration houses, in particular to a dynamic monitoring system and method for refrigeration energy efficiency of a refrigeration house. A multi-objective optimization scheme analysis module in the system is used for analyzing the refrigeration energy efficiency of the refrigeration house based on the running state of each temperature zone of the current refrigeration house, the heat state of stored goods and an external electricity price signal; and by taking the minimization of the total operation energy consumption of the refrigeration house and the minimization of the temperature fluctuation of each temperature zone as optimization objectives, constructing a multi-objective optimization function, and generating at least one candidate energy-saving operation scheme in a future time window of a preset duration. According to the method, through multi-dimensional data perception, a digital twinborn model for specific characteristics of goods and refrigeration house scenes is established; a multi-objective optimization function with the lowest total energy consumption, the lowest temperature difference fluctuation of the temperature zone and the highest energy efficiency ratio of the system as the core is constructed; and a plurality of candidate energy-saving schemes are dynamically generated by using the function, and an optimal scheme is screened out through a normalized comprehensive evaluation system, so that clear energy efficiency data and optimization suggestions are provided for managers, and invalid energy consumption is avoided.

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 relates to the technical field of refrigeration house energy-saving control, and provides a refrigeration house energy-saving control method based on deep reinforcement learning, which comprises the following steps: dividing a refrigeration house according to a multi-scale grid, collecting data in real time, weighting and aggregating according to spatial characteristics, calculating spatial semantic codes and confidence indexes of each grid, and obtaining a standardized and traceable state vector; real-time energy consumption, grid temperature space gradient, long-term exposure economic loss, event condition triggering and weighted summation form a reward function, and a deep strategy network is adopted to train parameters in an accumulated reward mode; constructing a grey box and residual dynamic prediction model, shrinking the original temperature and humidity constraint, solving the prediction model through scenario under the shrinkage constraint, and carrying out weighted fusion on the depth strategy obtained by training and the solution of the prediction model according to confidence; and calculating a statistical value in the sliding window, constructing confidence distribution of strategy return, triggering a hierarchical response according to a detection result, and inputting all triggers into an audit log for threshold self-calibration.

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 is suitable for the field of air conditioners, and discloses an energy-saving and cost-saving air conditioning system and a control method. The system comprises a meteorological sensor, an automatic control device, an outdoor cooling device, a water chilling unit, a cold storage device, indoor end equipment, a first electric valve, a second electric valve, a third electric valve, a fourth electric valve, a fifth electric valve, a sixth electric valve, a cold water discharging pump, a first temperature sensor and a second temperature sensor, the outdoor cooling device is connected with the water chilling unit, the water chilling unit is connected with the cold storage device and the indoor end equipment, the cold storage device is connected with the indoor end equipment, the system utilizes the characteristic that the peak-valley electricity price at night is low, the cold storage mode is operated in the low-electricity-price period, the cold storage device is preferentially used for cooling in the high-electricity-price period, and the electric charge expenditure can be reduced.

The utility model discloses a cold storage double-air-curtain system which comprises a circulating fan, an air supply pipeline, an air return pipeline, a temperature monitoring unit, a goods monitoring unit and a control unit, the temperature monitoring unit comprises a cold storage room temperature probe, a return room temperature probe and a pass room temperature probe, and the goods monitoring unit is arranged in a return room. Comprising a first infrared sensor arranged above an inner garage door and a second infrared sensor arranged above an outer garage door. The temperature probe is used for monitoring the temperature of a warehouse-in and warehouse-out area, when heat exchange energy caused by temperature difference exceeds a preset value, the circulating fan is started to supply air to the opening after the warehouse door is opened, and in the warehouse-in and warehouse-out process, the infrared sensor is used for monitoring height and width information of warehouse-in and warehouse-out goods and transmitting the height and width information to the controller; the working number of the air supply outlets and the air supply speed are adjusted according to the height and width of goods, heat exchange between a cage returning room and a refrigerating room and heat exchange between the cage returning room and a penetrating room are reduced to the maximum extent, and the energy utilization efficiency of the refrigeration house is improved.

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 cross-temperature-zone heat storage steam supply system and a working method thereof, and belongs to the technical field of heat storage and supply. According to the system, a first inlet of a hot water storage tank is connected with an outlet of a circulating deoxidizing hot water generating unit, and a first outlet of the hot water storage tank is connected with one end of a pressure reducing throttle valve; an inlet of the molten salt hot storage tank is connected with an outlet of the molten salt cold storage tank, and an outlet of the molten salt hot storage tank is connected with a second inlet of the molten salt heat exchanger; the solid heat storage unit is connected with the solid heat storage electric heater, and an outlet of the solid heat storage unit is connected with a second inlet of the secondary overheating heater; the other end of the pressure reducing throttle valve is connected with a first inlet of the molten salt heat exchanger or the primary superheater, a first outlet of the molten salt heat exchanger or the primary superheater is connected with a first inlet of the secondary superheater, and a first outlet of the secondary superheater is connected with a steam pipe network. Hot water heat storage and vaporization can be integrated, and efficient heat supply in different temperature zones can be achieved.