1100 results about "Room temperature" patented technology

The invention discloses an intelligent heat supply regulation and control system based on digital twinning and deep reinforcement learning. The system comprises a physical layer, a control layer and a control layer, wherein the physical layer is a physical heat supply system composed of heat source equipment, a transmission and distribution pipe network and a user terminal; according to the digital twinborn layer, a virtual heat supply system mapped with the physical layer in real time is constructed, the virtual heat supply system comprises a multi-physics field coupling model based on the thermodynamics and fluid mechanics principle, operation data of the physical layer are collected through a distributed sensor network, and the state vector of the virtual system is dynamically updated; and the intelligent decision-making layer is integrated with a DRL intelligent agent, the state space of the DRL intelligent agent is defined as a virtual system state vector output by the digital twin layer, the action space of the DRL intelligent agent is a regulation and control instruction combination of heat source power and pump valve opening, and a reward function fuses an energy consumption penalty term, a room temperature comfort reward term and a pipe network stability constraint term. According to the method, global optimization, high-precision continuous regulation and control and collaborative balance are realized through deep collaboration of digital twinning and deep reinforcement learning.

The invention relates to an intelligent regulation and control method for a fan coil of a central air conditioner, relates to an internet of things technology, and aims to solve the problems that multi-source environment parameter data is large in noise, working condition modeling is inaccurate, and equipment regulation response and energy consumption optimization are not coordinated. A regulation and control system integrating multi-parameter distributed sensing, data preprocessing, feature extraction and cross-domain knowledge migration is provided. A high-quality structured data set is formed through multi-dimensional real-time acquisition of room temperature and humidity, fan current, valve opening, human traffic, external weather and building information and in combination with denoising, normalization, alignment and missing completion. And a multi-target neural network and digital twinborn simulation are utilized to realize load trend prediction, equipment abnormity early warning and virtual deduction of an adjustment strategy, an optimal adjustment time sequence window and an activation threshold are output, and dynamic adaptive control is realized in combination with reinforcement learning.

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 hybrid model driving-based space-time consistency regulation and control method for a central heating system, which comprises the following steps of: performing hydraulic equilibrium analysis on the central heating system, and performing hydraulic analysis on a space structure of a heating pipe network by using a graph theory method based on an energy conservation law, simulating the hydraulic working condition of the official website by using a basic loop analysis method; based on an energy conservation and mass conservation heat balance equation, a heat source and a heat user are indirectly connected through heat exchanger transition, a dynamic physical model of each subsystem is established based on a lumped heat capacity method, a refined model of the heat supply system is established, and the thermal dynamic characteristics of the system are researched and analyzed; based on a Pearson's correlation function, considering thermal inertia of equipment such as a pipe network of the central heating system and a building fence structure, and determining a regulation and control period and time of the regulation and control model; according to the method, by controlling the opening degree of the regulating valve of the heat exchange station, the suitability degree of the room temperature of a heat user is guaranteed.

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 pipeline steel plate for carbon dioxide conveying and a preparation method thereof. In the heating procedure of the preparation method, the soaking temperature is TNbC + (40-100) DEG C, and the soaking time is 30-50 min; in the first hot rolling procedure, multiple passes are included, the plate thickness after rolling is 3.2-4.2 t, the initial rolling temperature is Tnr + (5-25) DEG C, and the final rolling temperature is Tnr + (0-20) DEG C; in the water cooling process, the final cooling temperature is Ar3-20 DEG C-Ar3 + 15 DEG C; in the second hot rolling procedure, multiple passes are included, the plate thickness t after rolling is larger than or equal to 38 mm, and the initial rolling temperature and the final rolling temperature are both Ar3-20 DEG C-Ar3 + 15 DEG C; in the ultrafast water cooling process, the water inlet temperature is larger than or equal to Ar < 3-30 > DEG C, the final cooling temperature is Bs-(460-300) DEG C, and the cooling rate is 9-22 DEG C / s; and in the air-cooling self-tempering process, the steel plate is air-cooled to the room temperature on a cooling bed.

The invention discloses a building energy management method based on big data, and relates to the technical field of building energy management, and the method comprises the steps: collecting building environment, room cold and hot demands and historical energy consumption data through a long and short term memory network LSTM in combination with Bayesian optimization, constructing a short-term and long-term cold load prediction model, and dynamically adjusting a cold and hot water supply strategy; the cold and hot water supply adjusting part enables cold and hot water conveying to accurately meet different room requirements on the basis of cold supply optimization parameters in combination with variable-frequency water pump regulation and control, water supply flow optimization of all floors and cold and hot water pipe network balance adjustment; an error feedback correction mechanism is introduced, the deviation between a predicted value and an actual load is monitored in real time, if the error exceeds a threshold value, an LSTM model is automatically adjusted, cooling parameters are updated, the prediction precision is improved, cooling and heating load regulation and control errors are reduced, and the influence of temperature fluctuation on user experience is reduced; aiming at different room temperature control requirements, personalized energy supply is carried out based on real-time temperature and humidity, air velocity and user preference.

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 discloses an air conditioner load aggregator demand response optimization method and device based on user credit, and the method comprises the steps: building a user credit evaluation model according to a user subscription performance index, carrying out the evaluation processing of the response behavior performance of a user, and obtaining a user credit evaluation index; based on the thermal resistance-thermal capacity network model, constructing a building room temperature thermal dynamic model; describing the building room temperature thermal dynamic process through the building room temperature thermal dynamic model; based on the user credit evaluation indexes, constructing a load aggregator demand response double-layer optimization model; solving the optimization model by setting a solving strategy to obtain an optimal scheduling strategy of the load aggregator; constructing a credit updating model; and after the power grid demand response, updating the user credit evaluation index through the credit updating model according to the user response performance index, and obtaining the updated credit evaluation index of the user. According to the invention, the demand response effect can be improved and fine scheduling can be realized.

The invention relates to the technical field of hydraulic balance adjustment, and particularly discloses a system and a method for automatically adjusting hydraulic balance of a central heating pipe network, which are characterized in that a time queue of user room temperature acquired by a temperature sensor is acquired, and the difference between each time point and a target room temperature is calculated to obtain a time queue of room temperature deviation values; meanwhile, a pipe network pressure distribution topological graph is obtained, feature extraction is carried out through a data analysis and processing technology based on artificial intelligence, sequence coding is carried out on a time queue of room temperature deviation values, and therefore the valve opening value is automatically recommended according to key clue nonlinear significant interactive representation between the two; and a response adjusting instruction of the electric adjusting valve is generated by comparing the real-time value of the valve opening degree with the real-time value of the valve opening degree. By accurately calculating the room temperature deviation value and combining the pipe network pressure distribution characteristics, the valve opening degree of each area can be more accurately adjusted, it is ensured that heat distribution is more reasonable, and the situation of overheating or insufficient heating is reduced.

The embodiment of the present invention relates to the field of air conditioning control technology, and discloses an optimization method for precise control of room temperature, including: obtaining terminal control information of each spatial area of ​​a target building stored in a pipeline database; obtaining target temperature information set for each spatial area in the target building, and controlling the operation status information of each device and terminal control module in the air conditioning unit according to the target control parameter; determining the regional status information of each spatial area in the target building; matching the regional status information with the target regional status, and if the match is inconsistent, determining the regional status information and the target regional status information to determine the adjustment parameters of the air conditioning unit, and controlling and adjusting the air conditioning unit of the target building according to the dynamic adjustment parameters. The embodiment of the present invention can accurately control the temperature and ensure that the temperature of each spatial area is maintained within the target range set by the user, thereby greatly improving the user's comfort.

The invention relates to an electrically insulating composite material (40), characterized in that the material is a composite material comprising a matrix (42) made of an elastomer or a polymer, and inclusions (41) providing the material with a thermal conductivity of greater than 0.6 W / mK at room temperature, in particular greater than 1.5 W / mK at room temperature.

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 relates to the field of household appliances, and provides a control method and device for a fresh air ventilator air conditioner and an air conditioner. The method comprises the steps that indoor and outdoor environment data and air conditioner power are obtained, and the indoor and outdoor environment data comprise indoor and outdoor air quality data and indoor and outdoor temperature data; according to the indoor and outdoor environment data and the power of the air conditioner, the optimal control power of the fresh air ventilator and the optimal control power of the air conditioner are determined in combination with a multi-target optimization model; and according to the optimal control power of the fresh air ventilator and the optimal control power of the air conditioner, the corresponding fresh air ventilator and the air conditioner are controlled to operate. According to the method, the problem that multiple environmental factors cannot be synthesized for dynamic adjustment based on control of a fixed threshold value and a single parameter is solved, the energy efficiency and the indoor comfort degree are considered at the same time by integrating the environmental data, the lowest energy consumption scheme meeting the requirements of environmental health and room temperature change is found out, and cooperative control of the fresh air ventilator and the air conditioner 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 relates to a working parameter linkage regulation and control method and system for a medium-deep geothermal water source heat pump, in particular to the field of medium-deep geothermal water source heat pumps, firstly, disturbance signals are generated through reinforcement learning and injected into a geothermal loop, and therefore the dynamic mapping precision of an underground heat reservoir is improved; secondly, the thermal diffusion coefficient and the fracture rate of the rock stratum are inversed through the physical information neural network model, and real-time monitoring of underground thermal storage is achieved; secondly, predicting the difference between the heat supply load and the geothermal heat absorption capacity by using the meteorological data, the room temperature data and the heat pump operation parameters, generating a regulation and control decision, and setting a grading trigger condition; and finally, a phase change heat storage device and a compressor are precisely regulated and controlled through a double-actuator collaborative algorithm, the response speed and energy efficiency of the heat pump system are improved to the maximum extent, the room temperature fluctuation problem is relieved, frequent frequency modulation is avoided, starting of a standby boiler is reduced, and therefore the operation efficiency and stability of the heat supply system are optimized.

The invention discloses a control method of a multi-split air conditioner based on load self-adaption and an air conditioning unit, and relates to the technical field of air conditioner control. The technical problems that when the multi-split air conditioner operates at small load at night, due to the fact that the output capacity is not matched with the required load, the control mode is passive, and self-adaptive adjustment is insufficient, a unit is started and stopped frequently, room temperature fluctuates, and a user feels uncomfortable are solved. Each indoor unit is independently controlled, a load self-adaptive matching algorithm is adopted, room loads are calculated through real-time monitoring, matched output capacity loads are generated according to real-time load changes in respective rooms, and independent control logic is generated; the outdoor unit calculates the supply capacity according to the parameter change of each indoor unit, realizes load self-adaptive adjustment based on the combined control of the compressor frequency and the fan rotating speed, and automatically optimizes and iterates the room load through the real-time matching and automatic optimization of the output capacity of the outdoor unit and the room load on the premise of not increasing hardware. And real-time supply and demand matching of loads in each room is realized.

The invention provides an indoor unit of a floor air conditioner. The indoor unit of the floor air conditioner comprises a shell, a main air duct and an auxiliary air duct are defined in the shell; the heat exchanger is arranged in the main air duct and is configured to perform heat exchange on air entering the main air duct; the main fan is arranged in the main air duct and is configured to send out the air subjected to heat exchange; and the auxiliary fan is arranged in the auxiliary air duct and is configured to send out the air which enters the auxiliary air duct and is not subjected to heat exchange. According to the indoor unit of the floor air conditioner, the main air duct and the auxiliary air duct are arranged and matched with the main fan and the auxiliary fan in the main air duct and the auxiliary air duct, so that air after heat exchange and air without heat exchange can be mixed and then sent to the indoor environment, and the problem that the temperature difference between the air outlet temperature and the room temperature is too large when the indoor unit of the floor air conditioner is used for refrigerating or heating is effectively solved; and the comfort requirement of the user is fully met.

The invention discloses a heat treatment method of a sector plate for a hot rolling coiler, and belongs to the technical field of hot rolling sector plates, the heat treatment method comprises the steps of graded heating solution treatment, water-air alternate quenching, tempering and the like, and by specifically setting the steps and specific setting modes and parameters of the steps, the specific setting of the sector plate workpiece to be treated is matched, so that the heat treatment efficiency is improved. Existing quenching medium oil is changed into medium water, and on the basis that it is guaranteed that the good performance that the tensile strength Rm ranges from 850 MPa to 900 MPa, the plastic extension strength Rp0.2 is larger than or equal to 650 MPa, the percentage elongation after fracture A is larger than or equal to 15%, and the room-temperature impact energy DVM is larger than or equal to 38 J can be obtained, the production cost is reduced, and environmental protection is facilitated.

The invention discloses a performance detection method and system for ultra-high performance concrete, particularly relates to the technical field of building material performance detection, and aims to solve the problem of strength test discreteness caused by neglecting of an aging effect after high-temperature maintenance in an existing detection method. The method comprises the following steps: recording a first time point when a test piece is cooled at room temperature and a second time point when a press machine is loaded, and generating a comprehensive aging factor in combination with double quantitative analysis of a fiber pull-out fragment proportion and a crack fractal dimension in a damage process image; matching a strength correction coefficient from a preset table according to the aging factor, and dynamically calibrating a first compressive strength test result; accurate association between the aging damage mechanism and the macroscopic strength is achieved, and the reliability evaluation precision of the ultra-high performance concrete in major engineering is remarkably improved.

The energy-saving curtain wall structure with the ventilation function comprises a curtain wall body, the inner side of the middle of the curtain wall body is hollow and sealed, ventilation grooves are formed in the upper side and the lower side of the curtain wall body, and shutters are arranged in the ventilation grooves; the louver comprises a plurality of rotating shafts rotationally arranged on the inner sides of the ventilation grooves and louver blades arranged on the outer sides of the rotating shafts; grooves are formed in the side edges of the upper side and the lower side of the curtain wall body correspondingly, the ends of the rotating shafts in the corresponding ventilation grooves penetrate into the grooves, and gears are fixedly arranged at the ends of the rotating shafts. According to the curtain wall, through pure mechanical linkage of the memory alloy spring, the rack, the gear and the rotating shaft, the blind window can be automatically opened and closed along with the room temperature, a motor, a sensor or manual intervention is not needed, manual operation is thoroughly eliminated, the response speed only depends on physical phase change of the memory alloy, and the automation level is remarkably improved. The hollow sealed curtain wall main body and the upper and lower ventilation slots form a chimney effect channel which is linked with the shutters to amplify the natural ventilation efficiency.

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 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 utility model discloses a seamless bent pipe hot bending device with uniform heating, which comprises a base and a bending mechanism, the base is provided with a propelling mechanism, a limiting mechanism, a water cooling mechanism and an electromagnetic induction heating mechanism, the electromagnetic induction heating mechanism comprises a medium-frequency heating assembly and a high-frequency heating assembly, the bending mechanism comprises a hoop assembly, and the hoop assembly is provided with a clamping groove. The hoop assembly is fixedly arranged at one end of the pipe body in a sleeving manner; the two sets of heating assemblies heat a pipe body twice in the pushing process of the pipe body, so that the heating uniformity of the pipe body is improved, the phenomenon that the temperature of the inner side or the bent inner side of the pipe body is not uniform is prevented, and the hot bending quality of the seamless bent pipe is improved; cooling water is sprayed out in a circumferential dispersion mode through the multiple sets of water spray nozzles of the water inlet ring, comprehensive water cooling is carried out on the bent steel pipe part, the pipe body is cooled to the room temperature, the pipe body is kept in the needed shape, and cooling is uniform.

In one form of the present disclosure, a quantum sensor comprises a quantum device. The quantum device comprises gallium nitride (GaN) with a color center with a zero-phonon line (ZPL) between about 900 nanometers (nm) and about 990 nm. The GaN can be doped with silicon (Si) and have low carbon (C) and oxygen (O) impurities. In one example, the quantum device is GaN doped with about 1016 atoms of Si per cm3, having less than about 8×1015 C atoms per cm3 and less than about 6×1015 O atoms per cm3, and a Ga vacancy density less than about 1016 vacancies per cm3.

In order to simulate the extreme ocean atmospheric environment on the surface of an enveloping naval vessel and the surface of ocean service equipment, the utility model provides a broad-spectrum salt mist artificial simulation system, a double-order saturation barrel is adopted to progressively adjust the airflow temperature within the range of (room temperature + 5 DEG C)-90 DEG C, and a first-order saturation barrel enables airflow and heated pure water to be mixed to generate first-order hot airflow; then conveying to a second-order saturation barrel to be mixed with heated saline water to generate second-order hot air flow, finally mixing the second-order hot air flow with a saline solution with the pH value of 2.0-7.0, and atomizing through a nozzle to generate neutral or acidic broad-spectrum salt mist with the temperature of (room temperature + 5 DEG C)-90 DEG C.

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 provides a manufacturing method of high-strength anti-seismic weather-resistant fire-resistant H-shaped steel with uniform indoor high-temperature performance, and relates to the technical field of building steel production processes. The method comprises the following steps: carrying out vacuum smelting according to set components of fireproof H-shaped steel to obtain H-shaped steel liquid, and casting to obtain an H-shaped steel blank; then first-stage multi-pass hot rolling is carried out, then the whole surface is rapidly water-cooled until the surface temperature is lower than the initial rolling temperature of first-stage hot rolling by 260-370 DEG C, a core-surface temperature difference is formed, second-stage multi-pass hot rolling is immediately carried out after water cooling, and the hot-rolled H-shaped steel is obtained; and the flanges are subjected to water mist cooling and then integrally air-cooled to the room temperature, and the high-strength anti-seismic weather-resistant fire-resistant H-shaped steel with uniform room-temperature and high-temperature performance is obtained. According to the invention, delivery is carried out in a hot rolling state, a complex heat treatment process is not needed, a wide process window is provided, different parts have excellent room high-temperature mechanical properties and corrosion resistance, and the material can be widely applied to the fields of buildings, bridges and the like which simultaneously require shock resistance, high strength and certain high-temperature resistance and weather resistance.

The invention relates to the technical field of wire and cable insulating materials, and provides a room-temperature self-crosslinking flame-retardant insulating material and a preparation method thereof.The preparation method comprises the steps that a magnetic metal hydroxide flame retardant is prepared through a sol-gel method, and modified vinyl silane is prepared through a ring-opening polymerization reaction; the preparation method comprises the following steps: performing ordered grafting granulation on polyolefin resin, a magnetic metal hydroxide flame retardant and modified vinyl silane to prepare matrix granules; and blending the matrix granules with the catalytic granules, carrying out extrusion molding on the blended granules, and standing at room temperature to obtain the room-temperature self-crosslinking flame-retardant insulating material. According to the room-temperature self-crosslinking flame-retardant insulated cable and the preparation method thereof, the flame retardant property can be improved, the crosslinking efficiency and cost can be optimized, and the mechanical property and the insulating property can be optimized.