551 results about "Room temperature" patented technology

The invention discloses a production method of distiller's grain fermentation liquid fertilizer specially applied to roxburgh rose. The distiller's grain fermentation liquid fertilizer is prepared bythe step of evenly mixing 50 to 80 parts of distiller's grain fermentation extracting solution, 0.5 to 1 part of microelement, 5 to 10 parts of seaweed meal, 5 to 10 parts of natural active organism,2 to 5 parts of potassium bicarbonate, 2 to 5 parts of natural active organism and 2 to 5 parts of natural surface active agent. A preparation method of the distiller's grain fermentation extracting solution comprises the steps: evenly stirring 50 to 80 parts of distiller's grain, 50 to 150 parts of rice washing water, 1 to 2 parts of EM microflora fermentation liquid and 0.5 to 1 part of sugar, performing composting fermentation at the room temperature to obtain a distiller's grain fermentation material, stirring and extracting through a sodium carbonate water solution, filtering and performing evaporation and condensation on obtained filtrate until the density is 1.1 to 1.2 to obtain distiller's grain fermentation extracting solution. The distiller's grain fermentation liquid fertilizerdisclosed by the invention has a good use effect, meanwhile can effectively prevent pest and disease damage to the roxburgh rose and is high-efficiency environment-friendly liquid fertilizer.

The invention discloses a temperature and humidity cooperative control method for an air source heat pump drying room, and relates to the technical field of energy conservation, environmental protection and intelligent manufacturing. The method comprises the following steps: acquiring gas heat state parameters and material and environment characteristic parameters in an air source heat pump drying room, and constructing a multi-source state vector; calculating a dynamic response coefficient group and a material evaporation influence coefficient based on continuous sampling data, and establishing a cross response model; a control compensation signal is generated and corrected according to the disturbance estimator, and the comprehensive control quantity is input into an execution module of the air source heat pump system; a dynamic response coefficient group and a lag correction parameter are updated through a periodic feedback data set, and dynamic coordination between temperature and humidity variables is achieved; the response stability of temperature and humidity control can be maintained under the condition that the material moisture content, the stacking density and the external environment condition change, system oscillation and energy consumption deviation are reduced, and the energy efficiency level of the air source heat pump drying process and the product drying uniformity are improved.

The invention discloses a temperature monitoring control method and system for a communication machine room or a data center machine room, and relates to the field of machine room temperature and humidity monitoring, and the method comprises the steps: S1, selecting a proper temperature and humidity sensor; s2, drawing three-dimensional models of the communication machine room and the data center machine room; s3, determining layout point locations of the temperature and humidity sensors; s4, formulating temperature and humidity control measures; s5, continuous temperature and humidity data acquisition is carried out; s6, collecting and processing the data; s7, setting a temperature threshold value and an early warning mechanism; and S8, carrying out an analog simulation experiment. According to the method, a three-dimensional model analysis process specially aiming at the machine room is arranged, monitoring sensors corresponding to key positions can be specifically configured according to the actual three-dimensional model condition, some existing heat dissipation structures can be optimized according to the three-dimensional model, and in the actual application process, the heat dissipation efficiency can be improved. And a better temperature monitoring effect and a better temperature control effect are achieved.

The invention provides a centralized heating method and system based on room temperature feedback regulation, and the method comprises the steps: collecting and verifying real-time room temperature data, and generating a room temperature feedback signal; the signals are transmitted to a central control unit for sequential processing, and a temperature-time two-dimensional data matrix is generated; a preset dynamic compensation algorithm is used for calculating a heat demand correction value of each heat supply pipe network key node; the heat supply pipeline flow is dynamically adjusted according to the correction value; and verifying the effect through a closed-loop feedback mechanism and optimizing algorithm parameters. According to the method, a network is constructed to realize multi-node synchronous acquisition and verification, and heat distribution heterogeneity and fluctuation characteristics are captured in combination with matrix processing and interpolation completion. Compared with a traditional single-point sensor, according to the scheme, through two-dimensional mapping and anomaly detection, the adjustment response time is shortened to the sampling period level, the temperature deviation calculation precision is improved to + / -0.1 DEG C level, the overheating-underheating alternating phenomenon is solved, and accurate dynamic matching of the heat demand correction value is achieved.

The invention discloses a paint spraying room temperature and humidity control system based on the Internet of Things, and relates to the technical field of industrial coating environment control. Accurate perception and disturbance pre-judgment of gate opening and closing behaviors are realized by means of cooperation of a gate state detection module and an environment monitoring module; the predictive sub-module dynamically evaluates the disturbance risk level by analyzing the door opening and closing frequency, the duration time and the environment difference, so that the control action is converted into beforehand intervention from post-event compensation; humiture sudden change caused by opening of the gate is effectively inhibited, and the overshoot phenomenon caused by response delay is reduced; meanwhile, an Internet of Things architecture is introduced, and the decision dimension of the system is expanded; the cloud collaborative management module optimizes control parameter distribution by summarizing operation data of a plurality of spray booths and utilizing a consistency algorithm, so that mutual interference caused by coupling of ventilation systems of adjacent spray booths is avoided; and the local intelligent control unit can be automatically degraded to a cache strategy when the cloud is unavailable, so that the control continuity is ensured.

The invention discloses an inorganic normal-temperature rapid-hardening coal-rock mass reinforcing and filling material, and relates to the technical field of mine reinforcement. The material comprises a liquid A and a liquid B, the liquid A is prepared from cement, fly ash, magnetic nano silicon dioxide, citric acid and a layered bimetal oxide-sodium hexametaphosphate compound; and the liquid B comprises water glass, superfine limestone and water. During use, the liquid A and the liquid B are mixed according to the volume ratio of 1: 1 and injected into a target area, and a 1.5 Tesla magnetic field is applied at the initial stage of grouting until the grout is initially set. Through the synergistic effect of the compound protection dispersing agent, the magnetic particles and an external magnetic field, the technical problems that an existing material is unstable in performance due to temperature change, nanoparticles are prone to agglomeration, and magnetic response is attenuated in an alkaline environment are effectively solved; the technical effects of rapid solidification, high strength and excellent durability in high-temperature, low-temperature and complex mine environments are achieved.

The invention discloses a heat supply pipe network real-time digital twinning intelligent calculation system based on AI, and belongs to the technical field of heat supply pipe network intelligent regulation and control, the system comprises a digital twinning modeling module, a data acquisition and transmission module, an AI-driven prediction and simulation module, an intelligent regulation and control module and a visual monitoring and interaction module. Through the digital twinborn modeling module, a digital twinborn model of the heat supply pipe network can be created, and comprehensive and real-time monitoring of the operation state of the pipe network is achieved. The AI-driven prediction and simulation module can predict the running state of the pipe network, find potential problems in time and perform early warning; through simulation calculation, an energy efficiency optimization scheme can be provided, a manager is helped to formulate a reasonable regulation and control strategy, energy consumption is reduced, and heat supply efficiency is improved; through the intelligent regulation and control module, accurate regulation and control can be performed according to the room temperature requirement set by the user, and the comfort degree and satisfaction degree of the user are improved.

The invention belongs to the technical field of industrial process control, and particularly relates to a drying device temperature and humidity cooperative control method based on a multi-agent system, and the method comprises the steps: dividing the internal space of a drying device into independent agent regions, and obtaining a denoised temperature observation value and a denoised humidity observation value through an integrated sensor array; based on the dynamic deviation between the observed value and the expected value, intelligent agent node deviation potential energy reflecting the environment unbalance momentum is obtained; establishing a neighborhood topological structure by using the centroid coordinates, and obtaining a collaborative flux compensation amount based on a potential energy difference cumulant between a current area and an agent area in a neighborhood and in combination with a temperature change acceleration; and mapping the collaborative flux compensation quantity into a frequency output value of the heating unit and a rotating speed output value of the moisture removal fan so as to realize synchronous adjustment of an actuator. The problems that a large-volume drying cavity is uneven in room temperature and humidity distribution and extremely prone to oscillation are solved, and the consistency of the material drying quality is guaranteed.

The invention discloses a heat balance regulation and control method and device of a heat supply system and a medium, and relates to the technical field of automatic control of a central heating system.The method comprises the steps that based on a preset time interval, heat supply operation data, heat exchange operation data of all heat exchange stations and room temperature data of user nodes are collected, and the current heat supply working condition of the heat supply system is determined; inputting the heat exchange operation data into a preset extended transfer function model, and calculating a core parameter set of each heat exchange station based on the identification frequency corresponding to the current heating working condition; calculating a control parameter of a primary side valve of each heat exchange station node, and generating an opening degree adjustment amount; performing hierarchical coordination constraint verification on the control parameters and the opening degree adjustment amount to generate an opening degree regulation and control instruction of the primary side valve; and executing the opening regulation and control instruction, regulating the opening of the corresponding primary side valve, and collecting updated data after regulation. And on the premise of ensuring that the heating quality of a user continuously reaches the standard, autonomous optimization and long-term stability of operation of the heating system are realized.

The invention provides an operation data analysis method and system of a heat supply system, and relates to the technical field of building environment and energy application engineering.The method comprises the steps that if a diagnosis result shows that no abnormity exists, differential operation strategies are generated based on building historical room temperature, building characteristics and real-time meteorological parameters in a multi-source fusion data set; obtaining meteorological prediction data in a preset time period; based on the differentiated operation strategy and meteorological prediction data, predicting heat load demand change through a long short-term memory network; and calculating a target output parameter set value by taking the room temperature reaching the standard and the lowest energy consumption as an optimization target based on the change of the thermal load demand, and sending the set value to a boiler control system for execution. According to the invention, through multi-source data fusion and real-time analysis, closed-loop intelligent operation from abnormal accurate diagnosis to demand prediction regulation is realized, so that the reliability, energy efficiency and comfort level of the heat supply system are comprehensively improved.

The invention relates to room-temperature self-repairing polyurethane with quadruple hydrogen bonds / disulfide bonds and a preparation method of the room-temperature self-repairing polyurethane, and the prepared polyurethane is a thermoplastic polymer and shows a dynamic cross-linked structure. The polyurethane is prepared by adopting a step-by-step polymerization method in the presence of two chain extenders containing different dynamic bonds, the prepared polyurethane has good mechanical properties, self-repairing of cracks can be realized in a room temperature environment, and the method is simple and easy to industrialize. The polyurethane has important application value in the industries of flexible electronics, medical instruments, long-acting protection and the like.

The invention discloses a heating system feedforward control method integrating building thermal inertia and meteorological prediction, which comprises the following steps of: firstly, dynamically identifying building thermal parameters of each room so as to quantify the thermal inertia; then, inputting the parameters and future meteorological prediction data into a feedforward controller; and the controller predicts a room temperature change trend caused by future meteorological disturbance based on a thermodynamic model, calculates a required feedforward compensation control quantity, and adjusts a heating system in advance so as to counteract the disturbance. Through combination of dynamic identification and predictive control, heating control is changed into active intervention from passive response, the problem of control lag caused by thermal inertia is fundamentally solved, the stability and comfort of indoor temperature are remarkably improved, and meanwhile energy waste is avoided through accurate compensation.

The invention discloses a data center machine room temperature field equalization method based on a multi-scale model learning strategy. Fusing the equipment tolerance, the refrigeration system performance and the environmental thermodynamic boundary to construct a dynamic safe operation boundary; a machine room-cabinet-equipment multi-scale reverse model is constructed based on a physical guidance neural operator, and backstepping from observation of a temperature field to an optimal control strategy is realized; the method comprises the following steps: dynamically dividing a machine room into a plurality of logic control areas, deploying a reinforcement learning agent for each area, deciding and adjusting the air supply speed under the constraint of a safety boundary, and meanwhile, learning the minimum feasible air speed on line to optimize energy conservation; and when temperature abnormity which cannot be processed by local control is detected, generating and executing a global coordinated regulation and control instruction according to the global temperature field data and an analysis result of the multi-scale model. According to the method, on the premise of guaranteeing the safety of equipment, the temperature field of the data center is subjected to refined and self-adaptive balanced regulation and control, and the energy efficiency and the operation reliability of a refrigeration system are remarkably improved.

The invention provides a data center AHU intelligent risk control system and method based on dynamic thermal field modeling, and the system comprises a sensing layer which is used for collecting multi-dimensional data in a data center machine room in real time, and a decision-making layer which is used for constructing a dynamic thermal field model, marking an overheated region in combination with predicted temperature distribution in a future period of time, and generating a hierarchical control strategy. The execution layer is used for receiving the hierarchical control strategy and controlling execution equipment to execute corresponding actions; the feedback layer is used for monitoring the equipment operation state and the machine room temperature change in real time after the execution action is completed, quantitatively evaluating the execution effect and transmitting the execution effect to the decision-making layer. The temperature change condition of the cabinets is monitored in real time through a chain of real-time sensing, dynamic modeling, hierarchical execution and closed-loop feedback, and a control adjustment strategy is executed in a hierarchical manner, so that the overheating risk under the condition of dynamic change of the arrangement of the cabinets in the data center machine room is handled, and the method is suitable for a large data center machine room adopting a ventilation wall air supply mode. The method is especially suitable for a capacity expansion scene in which cabinet layout is frequently adjusted.

The invention discloses an anti-sliding friction force testing device under the action of high-temperature hot air, which comprises a loading sealing device, an air circulation heating system, a static force loading system and a temperature measuring system, the loading sealing device comprises a bearing frame, a bottom plate, a lower flange gland, a test piece, an upper flange gland, an upper exhaust cabin, a disc type loading tool, an upper pressing plate, a window and a window pressing plate, the air circulation heating system comprises a heating system and a ventilation system, and the air circulation heating system is connected with the loading sealing device through a circulation pipeline; the static force loading system comprises an oil source control upper computer, an oil source, a cooler, a hydraulic substation, a static force loading upper computer, a servo oil cylinder, a servo controller and a switching cabinet, and the temperature measurement system comprises a thermocouple sensor, a data acquisition instrument and a temperature measurement upper computer. The test system can be widely applied to the sliding friction resistance test of various wrapped interlayer assembly structures in normal temperature and high temperature states and the design and construction of the test system.

The invention provides an illumination radiation heat load dynamic prediction and compensation control method and system based on multispectral perception, and the method comprises the steps: collecting the illumination intensity of each indoor wave band in real time through a multispectral sensor, constructing a spectrum space coupling mapping model through combining the geometric structure, material absorptivity and incident angle information of a heat absorption surface, and carrying out the dynamic prediction and compensation of the illumination radiation heat load. Calculating an equivalent radiation heat disturbance quantity; thermodynamic parameters are fused to establish a thermodynamic prediction model, and the future room temperature change trend is predicted; identifying whether the disturbance type is a stationary type or a mutation type by analyzing the dynamic relationship between the thermal disturbance sequence and the temperature response; and a heat pump compensation control instruction is generated, and advanced adjustment is achieved. The problems that a traditional temperature control system is delayed in response to illumination thermal disturbance and inaccurate in recognition are solved, and the thermal comfort and the energy efficiency level are remarkably improved.

The invention provides a communication machine room temperature and humidity control method and system based on a DCS, and relates to the technical field of temperature and humidity control, and the method comprises the steps: collecting a variety of data, and carrying out the classification of the equipment data of a communication machine room, and obtaining the equipment function data. And analyzing the data transmission quantity to obtain a data change trend, and predicting the data change trend in combination with external factor data to obtain time period transmission change. And analyzing the influence of the data transmission quantity on the equipment data of the communication machine room to obtain equipment temperature change data, and formulating an initial temperature and humidity regulation and control strategy in combination with external factor data. And adjusting the initial temperature and humidity regulation and control strategy according to the time period transmission change to obtain a temperature and humidity control strategy, and executing the temperature and humidity control strategy through a DCS. Through real-time analysis of time period transmission change and equipment temperature change, a temperature and humidity control strategy is adjusted in time, so that the strategy can adapt to change of different time periods, and stable operation of the communication machine room is better guaranteed.

The invention relates to the technical field of data processing, in particular to a machine room air conditioner energy-saving control method based on an AI algorithm. According to a temperature sequence of a monitoring point in a target machine room at the current moment and a multi-dimensional internal temperature feature sequence, in the process that the temperature of the monitoring point at the future moment is predicted through an LSTM model, the temperature of the monitoring point is predicted through a multi-dimensional internal temperature feature sequence; integrating the space coupling relationship and the temperature trend coupling relationship between the monitoring point and each of the other monitoring points, and obtaining a residual value for performing residual connection intervention on an output layer in the LSTM model; correcting the temperature prediction value of the monitoring point output by the output layer of the LSTM model at the future moment by using the residual value to obtain the final prediction temperature of the monitoring point at the future moment; and according to the final predicted temperature, the control parameters of the air conditioner in the target machine room are intelligently adjusted, and the energy-saving effect of the air conditioner is remarkably improved while the machine room temperature control precision is guaranteed.

The invention relates to the technical field of heat supply pipe networks, in particular to an intelligent management method for an old heat supply pipe network based on the Internet of Things. Comprising the following steps: S1, deploying a room temperature measurement and control terminal; s2, the indoor temperature data collected in the step S1 are uploaded to an intelligent heat supply management cloud platform through the NB communication technology; s3, calling a prediction model by the intelligent heat supply management cloud platform, and analyzing the indoor temperature data received in the step S2 to obtain a heat supply and demand analysis result; s4, based on a supply and demand analysis result in the step S3, the intelligent heat supply management cloud platform issues an adjusting instruction to an Internet of Things temperature control valve; s5, the intelligent heat supply management cloud platform monitors the operation state of the heat supply secondary network; and S6, combining the valve opening adjustment result in the step S4 with the circulating pump frequency optimization result in the step S5. According to the method, an efficient, intelligent and reliable heat supply management system is constructed, and the method has extremely high popularization and application value. The method is mainly applied to the intelligent management aspect of the old heat supply pipe network based on the Internet of Things.

The invention relates to the technical field of multi-source data fusion, in particular to a heat supply user room temperature measurement method and system based on multi-source data fusion, and the method comprises the following steps: S1, heat source data collection: directly collecting boiler operation data from a heat source plant distributed control system, and uploading the heat source data to an Internet of Things cloud platform; s2, multi-source data are collected, the multi-source data comprise user indoor temperature data, heat supply pipe network data and meteorological data, and the multi-source data are uploaded to an Internet of Things cloud platform; s3, data fusion: fusing the data in the S1 and the S2 in an Internet of Things cloud platform, and dynamically calibrating indoor temperature data; and S4, the system users of different levels pass authority authentication, and the fused and calibrated data are acquired from the Internet of Things cloud platform. According to the invention, a double-layer algorithm is constructed by optimizing the LSTM network and improving the grey wolf algorithm, the room temperature calibration capability in a dynamic environment is improved, and the efficiency precision is improved.

The invention discloses a method for acquiring optimal measurement conditions of building room temperature monitoring. According to the method, a discrete coordinate radiation model is set, a sun tracking function is started at the same time, and wall mixed thermal boundary conditions are considered. Factors influencing the accuracy and stability of room temperature monitoring, such as temperature measurement distance, time, sunshade condition, temperature measurement position, weather condition, window opening and closing, outdoor temperature and room characteristic factors, are explored, so that the influence rule of different factors on the room temperature monitoring of the building is provided. According to the method, accurate modeling is performed according to thermodynamic behaviors in a complex building environment, and complex factors, including thermal conductivity of building materials, indoor air flow and heat source distribution, suffered by the room temperature of a building are considered; under different environmental conditions, dynamic characteristics of a building room temperature change rule are considered, a monitoring scheme is dynamically adjusted based on real-time simulation data to obtain an optimal measurement condition, and the complexity of the system is reduced in a real-time feedback process.

The application belongs to the technical field of temperature regulation, and particularly relates to a clean room temperature control method, device and system, which comprises the following steps: determining a pressure regulation amplitude; determining a temperature regulation amplitude; correlating the pressure regulation amplitude and the temperature regulation amplitude; dividing the correlation result into a starting section, a stable section and an ending section; dividing each section into several regulation units; in the starting section, setting a first unit time, and in each first unit time, adjusting the temperature of the air supply according to the regulation unit, and adjusting the flow difference between the air supply port and the air outlet to change the indoor pressure to the target pressure; adjusting the time length of the starting section; adjusting the time length of the stable section; in the stable section, adjusting the temperature and the pressure according to the regulation unit; and in the ending section, adjusting the temperature and the pressure according to the first unit time and the regulation unit. The application realizes the synchronous adjustment of the two parameters by correlating the temperature regulation and the pressure regulation, and correspondingly performing the pressure regulation in the temperature regulation process.

The invention relates to the technical field of rock mechanics experiments, and discloses a high-temperature rock strength testing method for eliminating thermal stress interference through active temperature control, and the method comprises the following steps: determining a temperature control cooling rate threshold value for eliminating thermal stress accumulation based on a temperature field-stress field coupling model; the rock sample is controlled to be heated to a target temperature value, heat preservation is conducted for a preset time length, the constant-temperature box containing the rock sample subjected to heat preservation is subjected to temperature-controlled cooling to the room temperature at the target temperature-controlled cooling rate not higher than the temperature-controlled cooling rate threshold value, and therefore the internal temperature field of the rock sample is made to change evenly; and carrying out mechanical strength test on the rock sample subjected to temperature-controlled cooling to obtain a test rock strength parameter without thermal stress interference. According to the invention, thermal stress accumulation caused by natural cooling can be effectively avoided, the precision and reliability of high-temperature rock strength testing are remarkably improved, measurement errors caused by thermal stress interference are reduced, and the engineering requirements of deep ultrahigh-temperature stratum rock mechanical property research are met.

The invention discloses a preparation method of an h-BN / BMSC daytime radiation refrigeration material, which comprises the following steps: (1) blending 39.9-66.5 parts by mass of few-layer h-BN nanosheets and 133 parts by mass of light calcined magnesia, and slowly stirring to obtain a mixed material; (2) dispersing an additive into 61 parts by mass of a magnesium sulfate heptahydrate solution, uniformly mixing, adding into the mixed material in the step (1), and stirring at a high speed to obtain slurry; and (3) putting the slurry obtained in the step (2) into a mold, and curing at room temperature to obtain the few-layer h-BN / BMSC composite material. The prepared gelling-based composite material has good radiation cooling performance and heat dissipation performance in an outdoor high-temperature environment, and can be used as a radiation cooling heat dissipation material with the temperature higher than the environment temperature. The passive cooling heat dissipation plate has important significance in improving the working efficiency of outdoor electronic equipment in a high-temperature environment, prolonging the service life and guaranteeing the reliability of a system.

This invention relates to the field of structural health monitoring of nuclear power plant equipment, and in particular to a method for testing the performance of high-temperature resistant long-wire strain gauges. The method includes: Step 1: Determining the temperature step for strain testing of the strain gauge; Step 2: Installing the strain gauge on a measuring beam; Step 3: Conducting room-temperature performance testing of the strain gauge; Step 4: Increasing the temperature of the high-temperature loading furnace, and repeating Step 3 under different temperature step conditions, respectively measuring and collecting the strain output, strain gauge lead-end resistance, and lead resistance of the strain gauge at each temperature step; Step 5: Calculating the actual strain; Step 6: Calculating the loaded strain; Step 7: Calculating the relative sensitivity coefficient. This invention enables the testing and calibration of the thermal output and sensitivity coefficient of high-temperature resistant long-wire strain gauges as a function of temperature. It provides accurate test data for the accurate testing and calibration of the thermal output and sensitivity coefficient of high-temperature resistant long-wire strain gauges as a function of temperature, and is of great significance.

The invention discloses an intelligent control method and system for a heat supply system, and the method comprises the steps: calculating a temperature control response deviation ratio of each control period according to the difference between actual room temperatures and the difference between predicted room temperatures of adjacent control periods, calculating a response deviation duration index according to the time domain characteristics of a temperature control response deviation ratio sequence, and calculating the temperature control response deviation of each control period; according to mean value characteristics and fluctuation characteristics of a temperature control response deviation ratio sequence and a first-order difference sequence thereof, calculating a thermal characteristic change mode identification index, and combining the two to calculate update quantities of a heat transfer coefficient and a thermal inertia time constant; the room temperature of the next control period is predicted according to the updated heat transfer coefficient and the updated thermal inertia time constant, and an objective function of a multi-objective convex optimization problem is constructed based on the predicted room temperature and the valve adjustment amplitude of all users in the unit; and solving to obtain an optimal valve opening instruction to regulate and control the valve. The precision and stability of thermodynamic balance control are improved.

The utility model provides a moisture-proof device of an LED packaging structure. The moisture-proof device comprises a heating moisture-removing layer, a room temperature sensor used for sensing the room temperature of the space, a device temperature sensor used for sensing the temperature of a device in the LED packaging structure, and a temperature measuring and controlling circuit. The device temperature sensor and the heating moisture-removing layer are arranged in the LED packaging structure, and the room temperature sensor is arranged outside the LED packaging structure; and the heating moisture-removing layer, the room temperature sensor and the device temperature sensor are respectively connected with the temperature measuring and controlling circuit. The utility model further provides a moisture-proof LED system device assembly. The moisture-proof protection can be carried out on the KSF fluorescent powder.

This utility model discloses an intelligent locker with a constant temperature structure, including a cabinet body, an inner liner, a rear frame, and a folding plate assembly. The upper part of the front upper and lower center cross-sections of the cabinet body has two rows of first storage compartments for ambient temperature storage, and the lower part of the upper and lower center cross-sections has two rows of low-temperature storage compartments for constant temperature storage. A second placement slot is provided on the rear part of the cabinet body corresponding to the two rows of low-temperature storage compartments. This utility model achieves rapid cleaning of the interior of the low-temperature storage compartment by pulling out the rear frame from the low-temperature storage compartment and scraping and cleaning the inner wall of the inner liner through the outer contour of the rear frame, allowing the liquid inside the inner liner to flow out through the liquid collection tank. This solves the problem of cumbersome cleaning of the cabinet interior. A temperature-sensing gas delivery valve on the connecting box is used to sense the temperature inside the low-temperature storage compartment, thereby controlling whether cold air from the first delivery pipe flows into the low-temperature storage compartment to maintain a constant temperature.

The invention provides a multi-temperature-field automatic thermal cycle test device and a test method thereof. The multi-temperature-field automatic thermal cycle test device comprises an automatic material conveying unit, a high-temperature environment field unit, a low-temperature environment field unit, a room-temperature environment field unit, an electrical control unit and an outer frame platform unit, the automatic material conveying unit comprises a lifting storage rack, a lifting operation mechanical arm and a rotating main shaft; the high-temperature environment field unit comprises a high-temperature environment box body which can be opened and closed, and an electric heating element is mounted in the high-temperature environment box body; the low-temperature environment field unit comprises a low-temperature environment box body which can be opened and closed, and a liquid nitrogen refrigerating device is mounted in the low-temperature environment box body; the room temperature environment field unit comprises a room temperature field fan. A plurality of temperature fields are adopted, a refrigerating medium is used for achieving rapid cooling at the low temperature, a heating wire is used for achieving rapid heating at the normal temperature in the air environment and at the high temperature, the multiple temperature fields are provided at the same time or different temperature fields can be rapidly switched, and thermal cycle test research under large-range temperature changes can be carried out.

According to the scheme, the temperature of all parts of the human body is monitored in real time through a temperature monitoring layer, semiconductor coolers in the corresponding areas are adjusted, zoned temperature adjustment is achieved, the comfort degree of the human body is effectively improved, heat is transferred through high-thermal-conductivity magnetic fluid, and the intelligent somatosensory adjusting mattress is suitable for being used in the field of mattresses. The high-thermal-conductivity magnetofluid is guided to move back and forth among different parts of the human body through the magnetic attraction effect of the second temperature adjusting combiner, discomfort of the human body caused by continuous heating or cooling of a certain part is avoided, in addition, flowing of the high-thermal-conductivity magnetofluid facilitates simplification of a temperature control structure, noise is avoided, and the service life of the temperature adjusting combiner is prolonged. The first temperature adjusting combiner can conduct fixed-point heating on specific parts of the human body and is suitable for hot compress physical therapy of people with cold bodies, in addition, a semiconductor temperature sensor is additionally arranged to compare the difference between the room temperature and the temperature of the human body, and people can be prevented from catching a cold in a whole-body heating mode after the situation that a quilt is kicked occurs.