5769 results about "Heating system" patented technology

The present invention provides a multi-drum washing machine, comprising a first drum, a second drum, and an electric heating system. The electric heating system is capable of generating a hot air flow, and the hot air flow of the electric heating system can be delivered to the first drum and / or the second drum simultaneously or separately. The multi-drum washing machine also comprises a first drum and a heat pump system. The heat pump system is capable of generating a hot air flow, and the hot air flow of the heat pump system can be delivered to the first drum. Compared with the prior art, the multi-drum washing machine described in the present invention uses a common electric heating system for drying the first and second drums, thereby reducing the manufacturing cost and space occupied by the multi-drum washing machine. The first drum uses the heat pump system for drying, avoiding the need for three drums to be dried simultaneously using a single drying system, thereby improving the drying effect of the clothes, shortening the drying time, and enhancing the user experience.

The invention provides a power plant heat tracing system intelligent optimization method based on environment temperature fluctuation, and relates to the technical field of temperature control of a power plant heat tracing system, and the method comprises the following steps: S1, data collection and preprocessing: deploying a sensor array, collecting an operation data signal # imgabs0 # of a power plant heat tracing pipeline, carrying out the preprocessing of the operation data signal # imgabs1 #, and storing the preprocessed operation data signal # imgabs0 #; outputting a standardized feature vector; s2, model establishment and parameter optimization: constructing a physical-data dual-drive heat transfer model, and inputting standardized feature vector optimization initial parameters; compared with the prior art, the method has the following beneficial effects: firstly, control parameters can be automatically adjusted according to factors such as thermal load change, external environment temperature fluctuation and equipment aging; and secondly, the temperature trend in the future short time can be predicted by constructing a heat transfer dynamic model, the control strategy is adjusted in advance, the temperature is prevented from being out of control, heat dissipation can be increased in advance or heat source input can be adjusted in advance, and safe and efficient operation of the system is effectively guaranteed.

The invention relates to the field of electromagnetic induction heating, and discloses a global temperature control method for an electromagnetic induction heating system, which comprises the following steps of: acquiring a two-dimensional temperature distribution diagram of a heating area at a plurality of key moments through a multi-point infrared temperature acquisition and induction heating coil synchronous excitation mechanism; performing multi-dimensional region segmentation on the global temperature scene data set, and identifying a temperature abnormal region and a thermal diffusion path feature based on a boundary thermal gradient change rate and an energy transfer path analysis algorithm; a distributed power regulation and control method and a historical thermal field evolution rule are introduced based on the regional thermal response feature map; thermal field feedback information is collected in real time in the temperature control process, and the current global thermal field state is judged in combination with a thermal distribution stability judgment criterion; and based on the updated control parameter configuration table, in combination with the thermal performance parameters of the material and the geometric information of the workpiece, generating an operation instruction set of the heating process, and executing intelligent regulation and control. The induction heating device has the advantage of improving the induction heating quality.

The invention relates to the technical field of heat load prediction, and discloses a heat supply system load prediction method and system, and the method comprises the steps: collecting multi-source sensing data in real time, and collecting outdoor meteorological parameters and building structure information; based on building distribution, a pipe network structure and user load characteristics of a heat supply area, a multi-stage heat supply load prediction model is constructed. And constructing a thermal topological graph model of the heat supply area based on the graph neural network. And periodically collecting parameters of the building-level edge prediction model, the heat exchange station-level aggregation prediction model and the thermal topological graph model, performing global aggregation optimization, and updating and optimizing each edge node model. And obtaining an edge prediction result according to the optimized model, and jointly controlling the heat source output power, the main pump rotating speed and the area valve opening according to the edge prediction result and the heat source level scheduling prediction model. According to the method, the depiction capability of the system on the dynamic load change and the space heat conduction path is improved, and the generalization capability of model updating and the real-time responsiveness of edge deployment are ensured.

The invention discloses a sewage waste heat recovery heating control method and system based on a digital twinning heat pump. The method comprises the steps that a digital twinning platform of a sewage waste heat recovery heating system is constructed; based on the operation parameters of the entity equipment of the sewage waste heat recovery heating system, establishing a digital twinborn model of the sewage waste heat recovery heating system; deploying the established digital twinborn model of the sewage waste heat recovery heating system in the established digital twinborn platform of the sewage waste heat recovery heating system; based on the physical equipment operation parameters of the sewage waste heat recovery heating system and the virtual data of the digital twinborn model, an optimization target model of the sewage waste heat recovery heating system is constructed, and an optimal control strategy is obtained; dynamic optimization control is carried out on the heating system entity equipment according to the optimal control strategy; the prediction precision is improved through real-time data calibration, model prediction control is fused, second-level response and multivariable cooperative regulation and control are achieved, and the problems that a traditional sewage waste heat recovery heating system is low in energy efficiency, slow in response and high in maintenance cost are effectively solved.

The invention relates to the technical field of new energy, in particular to a fan blade composite deicing system and method.The fan blade composite deicing system comprises a sensing layer, a decision-making layer, an execution layer and a feedback layer, and the decision-making layer comprises a graph neural network ice type recognition module, a CFD-icing coupling simulation module, a health management module and an energy consumption scheduling algorithm unit; the execution layer comprises a control unit and an execution unit, the control unit comprises a dynamic partition heating controller and a self-adaptive vibration controller, and the execution unit comprises an electric heating system and a vibration deicing system; compared with the prior art that a single deicing mode is usually adopted, and the adaptability to different ice type physical characteristics is poor, the scheme adopts a differential execution strategy, and partition electric heating control is carried out on different chord length areas of the blade based on the ice type recognition result; and high-frequency piezoelectric standing wave vibration is adopted for glaze ice, low-frequency eccentric wheel vibration is adopted for glaze ice, and the beneficial effects that the deicing efficiency is remarkably improved, invalid energy consumption is reduced, and damage to blades is reduced are achieved.

The invention relates to the field of crude oil heating, in particular to a full-automatic electric heating system and device based on the integrated heat storage technology, and the system comprises a temperature scale module, a heating module and a heat storage module. The heating module is provided with all temperature control nodes of the oil gathering pipeline, target temperature difference compensation, pipe section heat loss compensation and a flow velocity correction factor are integrated, and adaptive electric heating power of all the temperature control nodes of the oil gathering pipeline is generated through a reverse cascade feedback control algorithm. The heat storage module continuously collects temperature field characteristics, operation condition characteristics and medium thermal attributes of the oil gathering pipeline, judges whether heat storage operation is triggered or not through multi-dimensional coupling evaluation, distributes heat storage media through a priority algorithm, drives a valve to switch and execute adaptive heat storage operation, and achieves precise temperature field regulation and control and energy efficiency optimization of the oil gathering pipeline. And stable crude oil transportation is guaranteed.

The invention discloses a digital twinning-based thermal heat supply system defense cooperative protection method and system, particularly relates to the technical field of industrial control system safety, and is used for solving the problems of hidden attack missing detection and response delay caused by splitting of energy flow and data flow in an existing protection mechanism. Physical-network behavior collaborative verification is realized by constructing a digital twinborn model, and precise protection is realized by quantifying coupling failure characteristics of energy flow and instruction flow. The method specifically comprises the following steps: collecting production data, industrial control logs and network traffic; constructing a digital twin model to simulate expected behaviors of equipment, communication and physical states; comparing and detecting abnormal data in real time; extracting a thermodynamic potential gradient characteristic quantity and a path integral characteristic quantity from the abnormal data; calculating a covariant difference value of the two characteristic quantities, and judging an external attack when the covariant difference value exceeds a threshold value; when an attack is triggered, a micro-isolation gateway is deployed, dynamic access control is implemented based on an equipment fingerprint, a user behavior sequence and an environment fingerprint, and an attack chain is blocked.

The invention provides an underground heat supply system based on an air energy heat pump as a heat source and a remote monitoring method, and the system comprises a heat source dynamic tuning subsystem which carries out the dynamic parameter optimization processing of environment temperature and energy storage state data, and obtains an air energy heat pump operation instruction; first characteristic adjustment of air energy heat pump output is formed through an air energy heat pump operation instruction, and matching of the temperature of an energy storage water tank and an environment heat source is achieved. The underground hot air accurate adjusting subsystem obtains underground real-time temperature data, the underground real-time temperature data is subjected to spatial thermal field calculation processing to obtain air volume demand parameters, and dynamic balance between the air supply intensity and the underground thermal environment is formed; and the multi-stage cooperative control center subsystem performs three-stage logic verification processing on the signals of the air energy heat pump operation instruction and the fan frequency instruction to obtain an equipment regulation and control instruction set. The underground intelligent heat supply system of the air energy heat pump, which has the environment self-adaption capability, the dynamic balance capability of a thermal field and the remote monitoring characteristic, is constructed.

The invention relates to the technical field of temperature control, in particular to a heating and ventilation heating power constant-temperature variable-flow control method, and provides the following scheme that circulating pump frequency instructions and water temperature response data of multiple historical regulation and control periods are collected, and a dynamic track of the current water temperature in a temperature inertia field is constructed; calculating an attraction potential energy state between the current water temperature and a target constant temperature value in combination with the disturbance residual matrix; and outputting the frequency bandwidth interval of the circulating pump based on the state to realize dynamic adjustment. An adjacency matrix and a Laplacian matrix are constructed by introducing a hydraulic communication relation, spatial convolution and weighted updating are performed on disturbance residues in combination with a topological diffusion core, and accurate propagation and suppression of disturbance are realized. The method can effectively solve the problems of nonlinear response, delay effect and disturbance coupling of the water temperature to the pump frequency, and the temperature stability and the energy utilization efficiency of a heating system are improved.

The invention relates to the technical field of energy system control, and discloses a distributed cooperative fault-tolerant control method for a multi-energy-station cooling and heating system, and the method comprises the steps: enabling each energy station to measure and calculate a residual error based on a physical model and a sensor, forming a normalized health index, and carrying out the neighborhood broadcasting; carrying out robust anomaly judgment by utilizing a neighborhood median and a median absolute deviation, and isolating an abnormal site; cost coefficients are automatically generated for available sites according to equipment maneuverability, and control redistribution of minimum disturbance is solved and implemented through distributed consistency optimization; an exponential weighting updating mechanism of a residual error sequence is adopted to carry out online self-adaption on a noise baseline and a judgment threshold value so as to realize closed-loop self-calibration; when sensor abnormity, equipment errors or individual station faults occur in the multiple energy stations which work cooperatively, distributed rapid identification is achieved, faults are isolated, energy supply is redistributed with minimum disturbance, system control requirements are met, and equipment safety constraints are kept.

Provided is a temperature therapy chamber comprising a housing with an interior for accommodating a user. The interior of the chamber has a heating system configured to increase the temperature within the housing to create a heated area. The housing also has a plunge pool system having a pool with an opening accessible from within the interior and configured to hold water and accommodate the user. A chiller is configured to decrease the temperature of the water in the pool. The user can move between the heated area and the pool without leaving the interior of the housing. The housing can also include a vertical rail system with a mounting plate slidably coupled to at least one rail on a wall of the housing and configured to removably support the heating element. The user can move the heating system between a top and bottom position of the vertical rail system.

The invention discloses an analogue simulation system for operation of a ground source heat pump and a gas boiler in a severe cold area. The analogue simulation system comprises a heat supply correction model building module, a ground source / gas heat supply estimation module, a heat supply dispatching distribution module and a correction model optimization module. According to historical operation data of a ground source heat pump subsystem, heat supply correction models associated with soil geology and environmental climate are constructed based on a single variable principle, a heat supply amount estimated value of the ground source heat pump subsystem is dynamically corrected, heat supply amount of a gas boiler subsystem and heat load required by a building group are estimated, heat supply output of the two subsystems is intelligently distributed, and heat supply efficiency is improved. And the heat supply amount correction model is optimized through the actual heat supply amount deviation. The method can effectively overcome the problem of ground source heat pump heat supply amount deviation caused by soil heat unbalance and climate fluctuation in a severe cold area, further improves the energy efficiency estimation precision of a heat supply system, facilitates optimization of a scheduling strategy, has dynamic compensation and model self-evolution capabilities, and can adapt to complex environmental changes.

The invention discloses an intelligent electromagnetic induction heating system and method based on edge calculation, and aims to realize efficient and accurate heating control through advanced technical means. According to the system, a multi-source data real-time acquisition module is integrated, and various key parameters in the heating process can be comprehensively obtained. Through the data preprocessing and feature extraction technology, the system can accurately identify the heating state, and a reliable basis is provided for subsequent control. The edge computing node serves as the core of the system, has strong real-time analysis capability, can quickly respond to changes in the heating process, and dynamically adjusts a control strategy. In addition, through an edge-cloud collaborative optimization technology, cloud resources are fully utilized, and the intelligent level of the system is further improved. The problems of feedback lag, high cloud dependence and the like in the prior art are effectively solved, the heating uniformity, the energy efficiency ratio and the abnormity recovery capability are remarkably improved, and a reliable solution is provided for the fields of industrial heating, household induction cookers and the like.

The intelligent control method comprises the steps that a system architecture of the multi-heat-source coupling heat supply system is constructed, and the system architecture comprises a composite heat source module, an intelligent energy storage unit and an edge computing and internet-of-things platform; constructing a heat source energy efficiency dynamic evaluation matrix based on meteorological data and system monitoring data; constructing a multi-objective optimization model of the system, and solving the multi-objective optimization model in combination with the heat source energy efficiency dynamic evaluation matrix and an optimization algorithm to obtain an optimal solution; and dynamically distributing the output of each heat source according to the optimal solution. Controlling the system to operate in combination with multiple operation modes according to the external environment parameters and the actual operation parameters of the system; continuously optimizing related parameters of the system by adopting a reinforcement learning algorithm according to historical operation data and a reward function of the system; according to the scheme, the energy efficiency, flexibility, reliability and adaptability of the heat supply system are improved.

The invention discloses a planning design and optimized operation method for a heat supply system introducing a long-distance heat source, which comprises the following steps: acquiring basic data of the long-distance heat source to be introduced into the heat supply system in a heating season, and analyzing the operation mode change and dynamic characteristic change of a heat supply network of the existing heat supply system after the long-distance heat source is introduced; performing quantitative analysis and comparison on the plurality of heat supply network planning and design schemes in combination with external heat supply industry evolution data in a heat supply season to obtain an optimal heat supply network planning and design scheme; spatial characteristic data and time characteristic data related to the heat supply system are obtained, a space-time model of the heat supply system is established, and heat load prediction of each heat supply network area is carried out in combination with the heat load multi-dimensional influence data; and according to the heat load prediction value of each heat supply network area, combining the multi-dimensional heat supply loss, the heat source output characteristic and the heat supply network heat transmission and distribution characteristic of the long-distance heat source and the traditional heat source, and considering a heat source optimization operation target and a heat supply network regulation and control target, establishing a multi-time scale optimization operation model, and obtaining a corresponding optimization operation strategy.

The invention discloses a multi-mode heat supply energy consumption evaluation method and system, and relates to the technical field of heat supply energy consumption evaluation and dynamic thermal scheduling control, and the method comprises the steps: arranging a multi-source sensor in a high-temperature flue gas path to collect thermal parameters, and building a time sequence mapping model between a unit load and flue gas thermal characteristics; and according to the thermal power data output by the time sequence mapping model and the heat exchange characteristics of all the heat supply modes, a heat energy availability map of the target time period is generated, and heat demand adaptation data is constructed. And selecting a matching path according to energy consumption and switching constraints based on the heat energy availability map and the heat demand adaptive data, and executing mode dynamic switching control. According to the method, a complete technical closed loop from data perception to state evaluation to action execution is formed. In the multi-mode heat supply system, system fusion of three-layer logic of heat load prediction, map expression and dynamic scheduling is realized, and the intelligence, self-adaption and energy efficiency optimization capabilities of the heat supply process are remarkably improved.

The invention relates to a heat supply credible intelligent control method and system based on full trust creativity, and the method comprises the steps: collecting heat supply parameters in real time through Internet of Things equipment, and carrying out the preprocessing of the heat supply parameters through an edge calculation node, and obtaining the preprocessing data; performing thermal load prediction on the pre-processed data through a bidirectional LSTM neural network model based on a full trust creation platform, and outputting a thermal load prediction curve in a future time period; generating a dynamic scheduling instruction based on the thermal load prediction curve in combination with a real-time equipment state and an energy consumption optimization strategy; and the dynamic scheduling instruction is issued to the edge computing node, the operation parameters of the heat source, the pipe network and the user side are automatically adjusted, and when it is detected that the equipment is abnormal, standby equipment is automatically switched or a heat supply path is adjusted, and unmanned regulation and control of the heat supply system are achieved. According to the application, edge computing, the Internet of Things, trusted transmission and industrial control safety capabilities are integrated, so that full-flow coverage of heat supply scene data acquisition and analysis is realized, and the unattended scheduling capability of heat supply operation is improved.

The invention discloses an optimal scheduling method for a ground source heat pump system, and relates to the technical field of new energy utilization and intelligent control of a heat supply system.The method comprises the steps that the ground source heat pump system is divided into a tail end heat exchange layer, a water pump transmission and distribution layer and a source side heat pump coupling layer on the basis of a heat energy conversion and transmission path; constructing a response coupling relation and a mapping model; operating data of three layers of equipment are collected, a time sequence of each layer is established, a dynamic delay structure matching coefficient is calculated, and a multi-layer linkage response lag risk is identified based on a first threshold value; further monitoring a second derivative of the source side temperature change, calculating a thermal inertia interference index, and judging that the thermal response of the source side is abnormal in combination with a second threshold value; and the water supply flow of each branch is extracted, the target water supply value and the total flow of the system are combined, a flow deviation factor is calculated, flow distribution deviation is recognized according to a third threshold value, accurate strategy generation and intelligent scheduling control based on multi-parameter dynamic characteristics are achieved, and the response coordination and operation stability of the system are improved.

The invention discloses a digital pressure pulse thermal processing system for preparing compound seasoning, which relates to the field of food thermal processing and comprises seven parts, namely a batching kettle, a reaction kettle, a buffer tank, a condenser, a flash tank, a weighing pressure tank and a vacuum balance tank, and a central control system, the seven parts, all the pipelines, automatic valves on all the pipelines and corresponding sensors on the seven parts form nine systems, namely a feeding system, a stirring system, a material spraying and returning system, a water-oil fractionation and recovery system, a discharging system, a heating system, a circulating cooling system, a distillation system and a vacuum system through different combination modes; the central control system is connected with and controls the nine systems, the automatic valves on the pipelines and the corresponding sensors and the automatic valves on the seven components; therefore, the temperature rise and drop, high-temperature positive pressure, high-temperature negative pressure and the flash evaporation process with adjustable intensity and frequency of the reaction kettle are realized. The extraction and reaction efficiency in the hot working process of the compound seasoning is remarkably improved.

The invention relates to the technical field of electric tracing band heating systems, in particular to an electric tracing band heating system operation control method, device and system, and the method specifically comprises the steps: analyzing the severity of the heat compensation imbalance condition of an electric tracing band caused by external severe convection and PTC characteristics, and constructing the heat compensation imbalance degree of the electric tracing band; analyzing the heat compensation lag condition of the electric tracing band to the heated body caused by the heated inertia influence, and constructing the compensation response hysteresis of the electric tracing band; temperature compensation factors are constructed by combining the two, the proportional term of the PID control system in the next control interval is obtained, power adjustment of the electric tracing band heating system is carried out, the heat compensation hysteresis of the electric tracing band heating system under the condition that the convection heat dissipation condition is unstable is reduced, and the heating efficiency of the electric tracing band heating system is improved. The defect that due to the influence of temperature response compensation lag, power output of an electric tracing band heating system is frequently adjusted, and local supercooling of a heated body is caused is overcome, and the temperature stability of the heated body is improved.

The invention belongs to the technical field of intelligent heat supply, and provides a green power consumption heat storage and release matching control method and system based on a water heat storage boiler, and the method comprises the steps: firstly obtaining a heat load prediction sequence and an electric power spot market price prediction sequence of a heat supply system; secondly, regarding the heat supply network as a graph structure composed of nodes and pipelines, and establishing a pipe network dynamic model for describing the hydraulic and thermal characteristics of the heat supply pipe network; and finally, with the purpose of minimizing the comprehensive operation cost of the heat supply system in the whole scheduling period, and with the whole network heat balance, heat source operation, centralized heat storage device operation, heat supply network safety and user comfort as constraint conditions, solving to obtain a source network load storage cooperative control strategy. The purpose of integrated collaborative optimization of the heat source, the energy storage, the pipe network and the load is achieved, a scheduling strategy with better economical efficiency can be generated, and the problems that the absorption capacity is insufficient, and the overall operation economical efficiency of the system is not high are solved.

The invention relates to the technical field of semiconductors, and discloses a temperature control method and device of a machine heating system, a readable medium and electronic equipment. The temperature control method of the machine heating system comprises the following steps: acquiring related data of a heater; determining a feed-forward gain and a disturbance quantity based on the related data of the heater, wherein the feed-forward gain is used for determining feed-forward compensation power of the heater in combination with the disturbance quantity under the condition that sudden increase of the disturbance quantity is detected; a dissipation model of the heater is determined based on the related data of the heater, and dissipation compensation power of the heater is determined based on the dissipation model; under the working condition of machine liquid spraying, if the set process compensation condition is met, the process compensation power of the heater is determined; a target heating power for the heater is determined based on the feedforward compensation power, the dissipation compensation power, and the process compensation power. The method has the advantages that the temperature control response speed is increased, multi-dimensional power compensation cooperation is achieved, and the temperature stability in the semiconductor manufacturing process is improved.

A thermal management system for a vehicle includes a refrigerant circuit having an accumulator, a compressor, a refrigerant-air heat exchanger, a first expansion valve, and an evaporator. The thermal management system further including a heating system that is composed of a water pump, a coolant heater, and a heater core. The system further including a branch refrigerant line that is branched from a refrigerant line between the compressor and the refrigerant-air heat exchanger, a refrigerant-coolant heat exchanger wherein heat exchange is performed between a refrigerant and a coolant, a second expansion valve that is installed on the branch refrigerant line, and a first control valve installed at a branch point where the branch refrigerant line is branched from the refrigerant line between the compressor and the refrigerant-air heat exchanger.

The utility model relates to a heating system for dehydrating and sintering a loose body, and the heating system comprises an isolation cylinder which is internally provided with a high-temperature heating area and is provided with a gas inlet, and the gas inlet is used for providing reaction gas for the high-temperature heating area; the rod feeding device is movably arranged in the axis direction of the isolation barrel and is used for moving the loose body to a high-temperature heating area in the isolation barrel; the first heater is arranged on the outer side of the isolation barrel and used for heating the isolation barrel to form a high-temperature heating area; and the second heater is arranged on the rod feeding device and faces one end of the loose body, and the second heater is used for heating the loose body. According to the technical scheme provided by the invention, the difference of geometric dimensions and optical characteristics of each part of the loose body after the dehydration and sintering process of the loose body can be reduced, and the quality of the optical fiber preform is improved.

The invention discloses a preparation method of a precise seamless steel tube for a drill rod of a rotary drilling rig, and relates to the field of steel tubes. Comprising the following steps that raw materials are prepared and smelted, molten iron or high-purity waste steel with low phosphorus content, low sulfur content and low gas content is selected as a main raw material, and then the main raw material is subjected to external refining, component fine adjustment and continuous casting and blank treatment; hot piercing is carried out, specifically, the continuous casting round billet is loaded into an annular heating furnace, a multi-section heating system is adopted for heating, and then hot piercing treatment is carried out in a two-roller skew rolling piercing machine; hot rolling extension is conducted, specifically, the perforated tubular billet is rapidly fed into an online heating furnace, and then rolling is conducted on a multi-rack retained core rod or full-floating core rod continuous pipe rolling machine; and sizing / reducing, and rapidly heating. The steel pipe has rigidity, strength and humanity, the fatigue life of the steel pipe is prolonged, meanwhile, the surface smoothness of an inner hole is high, the dimensional tolerance of the inner diameter and the outer diameter is accurate, the wall thickness uniformity is high, the straightness is good, and in addition, the steel pipe also has high internal cleanliness and good wear resistance.

The invention provides a method and a system for calculating carbon emission in a building operation stage, and relates to the field of carbon emission metering. The method comprises the following steps: acquiring model driving data in real time, wherein the model driving data comprises meteorological data in a building operation stage, heating system operation data, building use state data and power grid carbon emission intensity data; the model driving data are input into a third-order RC model to predict the dynamic energy consumption in the building operation stage and obtain energy consumption prediction result data, and the third-order RC model is a multi-region coupled model established according to the partition characteristics of the building structure and comprises indoor environment nodes, enclosure structure nodes, indoor air nodes and internal heat quality nodes; constructing a dynamic differential equation set according to a thermal network theory; and according to the energy consumption prediction result data and the dynamically updated carbon emission factor database, calculating to obtain corresponding carbon emission data. According to the technical scheme, accurate and real-time calculation of the carbon emission in the operation stage of the building can be achieved with low cost.

The invention relates to the technical field of oil-gas field development and geothermal energy utilization. The invention provides an underground high-temperature composite fluid heating system, which comprises a crude oil separation device, a catalysis module, a high-temperature fluid generation module, an injection well pattern module, a target reservoir and a production well, and is characterized in that the crude oil separation device is communicated with the catalysis module through a first gas inlet pipeline and a second gas inlet pipeline; a first gas outlet pipeline and a second gas outlet pipeline are communicated with a high-temperature fluid generation module, the high-temperature fluid generation module is communicated with an injection well pattern module through a third gas outlet pipeline, the injection well pattern module is communicated with a target reservoir, and the target reservoir supplies energy to the outside through a fourth gas outlet pipeline. And the production well conveys the energy-supplied gas to the heat energy recovery device through the first recovery pipeline. In this way, efficient and uniform heating of the underground reservoir is achieved, energy consumption is reduced while the energy recovery efficiency is improved, and the problems of low heat conduction efficiency and high energy consumption in deep oil gas and hot dry rock development are solved.

The invention discloses a dynamic building thermal load simulation method and device, heat supply equipment and a medium, and relates to the technical field of load prediction.The method comprises the steps that when the environment temperature changes, the first building unit area thermal load before change is determined, and the second building unit area thermal load after change is determined; determining a first heat change of the building external envelope structure and a second heat change of the building internal envelope structure caused by the environment temperature change; according to the difference value of the unit area thermal load of the first building and the unit area thermal load of the second building, the delay time is determined in combination with the heat change of the building envelope; and based on the delay time, the outdoor temperature before the delay time and the current indoor temperature are utilized to correct the unit area thermal load of the second building. By adopting the method, the calculation complexity of dynamic building thermal load simulation can be simplified, and the calculation of the delay time is more practical and operable.

The invention provides multichannel spinning and turning integrated equipment for a cylindrical part of a carrier rocket and a machining method. The multichannel spinning and turning integrated equipment comprises a lathe bed, a main spindle box, a closing-in spindle box, a spinning roller frame, a tail top, a heating system, a control system and a hydraulic system. The main spindle box, the closing-in spindle box, the spinning roller frame and the tail top are installed on the lathe bed. The main spindle box is connected with the closing-in spindle box and drives the closing-in spindle box to work, a cylindrical part blank is clamped between the closing-in spindle box and the tail top, the spinning roller frames are located on the two sides of the cylindrical part blank, and the heating system is installed on the spinning roller frames; the control system is connected with the main spindle box, the closing-in spindle box, the spinning roller frame, the heating system and the hydraulic system. The hydraulic system is connected with the main spindle box, the closing-in spindle box, the spinning roller frame and the tail top. Through cooperation of the main spindle box, the closing-in spindle box, the spinning roller frame, the tail top and the like, the in-situ machining function combining forced spinning machining, closing-in machining and turning machining of cylindrical parts, conical parts and curved-bus-shaped parts of the carrier rocket is achieved.