105 results about "Thermal methods" patented technology

The invention discloses a cold plate-immersion liquid cooling cooperative heat dissipation method based on steam zone coupling modeling, and relates to the technical field of cooperative heat dissipation. Comprising the following steps of S1, collecting collaborative heat dissipation monitoring data of each key position in real time, and performing data preprocessing; s2, the comprehensive risk of the steam area is judged, and a risk cooling adjustment instruction is issued according to the comprehensive risk judgment result; s3, receiving a risk cooling adjustment instruction, carrying out collaborative heat dissipation, evaluating the collaborative heat dissipation capability, adjusting the rotating speed of a circulating pump and the opening degree of a valve, and requesting condensation backflow adjustment; s4, judging the adjusting quantity of condensation reflux, executing reflux adjustment and performing safety monitoring; and S5, continuously monitoring the data of each link, and carrying out anomaly detection on the state of each link to realize anomaly regulation and control. The problems that in an existing single-phase cold plate or two-phase immersion liquid cooling mode, steam accumulation is prone to occurring in a high-heat-flow scene, so that the pressure intensity is increased, the boiling point is increased, and the heat exchange efficiency is reduced, and then the operation reliability of equipment is affected are solved.

The invention relates to the technical field of power supply, and particularly discloses a peak and frequency regulation heat supply method for a multi-element energy storage coupling coal power unit, which is used for solving the problems that only active frequency is optimized, electric heating coordination and charge state constraint are lacked and time delay compensation is insufficient in the prior art. The method provided by the invention comprises the steps of system modeling, controller design, coupling constraint, adaptive parameter adjustment, delay compensation and distributed consensus. According to the method, a dual-domain electric power-thermal interconnection model is constructed, a cooperative controller based on delay compensation distributed model prediction control is designed, electric-thermal cooperative penalty and charge state constraint are introduced into a target function, a prediction window and weight parameters are adaptively adjusted, and network delay is identified and compensated online. And a consensus algorithm is adopted to realize multi-region power-heat collaborative optimization.

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 heat pump waste heat recovery cooperative heat supply method and system, and relates to the technical field of intelligent heat supply control, and the method comprises the steps: collecting environment data and heat pump operation data through a sensor, and carrying out the data preprocessing; modeling the operation state of the heat pump system by using a gradient lifting tree algorithm, constructing a heat pump load prediction model, and outputting load prediction; in combination with the load prediction result and the heat pump operation data, a collaborative heat supply strategy is obtained through an optimization algorithm; and waste heat recovery scheduling is carried out according to the load prediction result and the current waste heat recovery condition. According to the method, the accuracy and the real-time performance of load prediction can be remarkably improved, heat source configuration and heat supply requirements are highly matched, the waste heat utilization rate is improved to the maximum extent, power consumption is reduced, meanwhile, the indoor comfort degree and the system operation stability are guaranteed, finally, the operation cost is remarkably reduced, and the service life of equipment is prolonged.

The invention discloses a preparation method of a composite micro-groove super-hydrophobic low-ice-adhesion photo-thermal film. The preparation method comprises the following steps: (1) constructing a low-elasticity-modulus photo-thermal composite sponge substrate through a solvothermal method; (2) uniformly coating the surface of a substrate with a polydimethylsiloxane (PDMS) precursor solution by adopting an aerosol-assisted deposition technology, and carrying out thermocuring to form a functional composite interface layer; and (3) constructing a multi-stage scallop surface-imitating micro-nano groove composite structure on the surface of the interface layer by using a femtosecond laser micro-nano processing technology. The prepared film has super-hydrophobicity, the surface of the film is in a Cassie-Baxter wetting state with a 164-degree contact angle and a 1-degree rolling angle, and the film has a surface self-cleaning function. Under the icing condition, the adhesion strength of an ice layer of the system is obviously reduced to 2.57 kPa, the static delay icing time is effectively prolonged to 1587 s, and the system has the photo-thermal response characteristic and can realize rapid icing ablation under the standard solar irradiance; the preparation method has the characteristics of high process controllability, environment friendliness and the like, and is suitable for large-scale continuous production.

The invention discloses a near-isothermal hot spinning forming method and a heat compensation method for a metal workpiece. The forming method comprises the steps that a blank heated to the spinning preheating temperature is transferred and clamped on a workbench, and the blank is located in an effective heat compensation area arranged in a heat compensation system; the blank is subjected to temperature measurement to judge whether the blank temperature meets the temperature before blank spinning so as to determine whether the blank is subjected to temperature compensation waiting in a heat compensation system or not; and then near-isothermal hot spinning forming is completed in a heat compensation system according to a preset spinning program, the heat compensation system continuously compensates the temperature of the blank during spinning and monitors the spinning temperature in real time, and it is guaranteed that the fluctuation range of the spinning temperature does not exceed + / -20 DEG C in the process from spinning deformation to spinning deformation ending. According to the near-isothermal spinning forming technology, spinning equipment of a measurable and controllable semi-closed active heat compensation system is utilized, and the deformation temperature of high-temperature alloy, titanium alloy and other difficult-to-deform metal materials is controlled within a small fluctuation range in the spinning process.

The invention discloses a multi-source energy linkage heat storage method and system based on large-temperature-difference unit cascade heating, and belongs to the technical field of centralized heating and energy comprehensive utilization. The method comprises the steps that water inlet temperature parameters and external environment prediction parameters of a heat supply pipe network are obtained, and load demand characteristics are generated; establishing a dynamic optimization model according to the load demand characteristics and the obtained energy price time sequence parameters; operating parameters of the multi-stage heating unit group and scheduling parameters of the double-medium heat storage tank are calculated through the dynamic optimization model, and a multi-source scheduling instruction is generated; and the multi-source dispatching instruction is executed, and the self-adaptive valve set is controlled to switch a heat source path and is linked with the double-medium heat storage tank to charge and discharge heat. According to the method, the dynamic optimization model is established to cooperatively control the operation mode of the multi-stage heating unit set and the double-medium heat storage tank, cascade efficient utilization and intelligent economic dispatching of multi-source energy can be achieved, and the economical efficiency and the operation stability of the heat supply system are remarkably improved.

The invention relates to the technical field of transformer intelligent monitoring and heat dissipation control, in particular to a transformer system based on intelligent monitoring and self-adaptive heat dissipation and a transformer heat dissipation method, and the system comprises an intelligent monitoring module which is used for collecting physical quantity data in the operation process of a transformer in real time through a sensor; the data processing and analyzing unit is used for receiving the data transmitted by the intelligent monitoring module and establishing a transformer operation state model; the self-adaptive heat dissipation control module is used for receiving the operation state analysis result and dynamically adjusting operation parameters of the heat dissipation system based on a temperature threshold value and a load rate; and the fault early warning and diagnosis module is used for establishing an operation state evaluation model and a fault prediction model by adopting a machine learning algorithm, receiving an operation state analysis result and comparing the operation state analysis result with an early warning threshold value. Accurate monitoring, self-adaptive heat dissipation and fault early warning of the transformer are achieved, stable operation is guaranteed, and energy consumption is reduced.

The invention discloses a selective laser melting high-temperature preheating device with high-precision temperature control. The selective laser melting high-temperature preheating device comprises a laser; a forming cylinder; the piston is arranged in the forming cylinder in a lifting manner; the mounting plate is arranged on the piston, and a first accommodating groove is formed in the top surface of the mounting plate; the heating plate is arranged in the first accommodating groove and is provided with a heater; the forming base plate is arranged above the heating plate and is provided with a temperature sensor; the cooling mechanism is used for cooling the piston, the mounting plate, the heating plate and the forming base plate; a heat insulation plate is arranged between the bottom wall of the first containing groove of the installation plate and the heating plate. The invention further discloses a selective laser melting high-temperature preheating method with high-precision temperature control. Through the mode, the problem of cracking caused by overlarge temperature gradient in the SLM forming process is solved, the problems of low preheating temperature, low cooling speed and inaccurate temperature control of the formed substrate are also solved, the powder laser absorptivity can be improved to a certain extent, the scanning speed is increased, and the production efficiency is improved.

The invention provides a household heat supply method and system facilitating temperature adjustment. The household heat supply method comprises the following steps that the environment temperature of each to-be-heated area in a to-be-heated room is obtained; the actual heat of each corresponding to-be-heated area is adjusted by using the environment temperature and the preset target temperature of each to-be-heated area; compared with a traditional constant-temperature heat supply system, through refined temperature management, the user experience is improved, the service life of heat supply equipment is prolonged, and due to the fact that the system does not need continuous full-load operation and is intelligently adjusted according to actual requirements, mechanical abrasion and thermal stress of the equipment are reduced.

The invention discloses an intelligent heat dissipation method and system for case heat dissipation, and belongs to the technical field of server case heat dissipation, and the intelligent heat dissipation method comprises the following steps: S1, arranging a heat detection unit and a diversion unit in a case; s2, acquiring real-time temperature information in the case, comparing the real-time temperature information with a temperature threshold value to judge whether a hot spot appears or not, and if the hot spot appears, turning to step S3; s3, confirming a hot spot coordinate, reconstructing a cold air conveying path, and calculating to obtain deflection angle information of the flow guide unit; and S4, the flow guide unit conducts corresponding deflection, cold air conveying path reconstruction is completed, and meanwhile the system capable of achieving the method is provided. According to the intelligent heat dissipation method and system for heat dissipation of the case, the cold air conveying path in the case is reconstructed, so that targeted efficient heat dissipation is carried out on the hot spot position in the case, energy consumption waste is avoided, and the heat dissipation efficiency is improved.

The invention discloses a multi-temperature-zone independent temperature control electric heater and a heating method, belongs to the technical field of temperature control, and can be used for an industrial control system. According to the technical scheme, the multi-dimensional data is obtained, the dynamic parameter model is established, the equipment state evaluation and the multi-objective optimization algorithm are combined, independent and accurate temperature control and energy consumption optimization of multiple temperature zones are achieved, and the method has the advantages that the heating efficiency is improved, the energy consumption is reduced, and the equipment reliability is guaranteed.

The invention belongs to the technical field of carbon fiber pre-oxidation furnace heating, and particularly relates to the technical field of combustion methods of waste or low-grade fuel, in particular to a pre-oxidation furnace hot air heating method and system coupled with heat recovery. According to the method, fresh air to enter the pre-oxidation furnace is divided into two parts, one path of fresh air is mixed with return air of circulating air in the previous technological process of the pre-oxidation furnace after being subjected to gradient heating for multiple times, third gradient heating is carried out, fourth gradient heating is carried out through a heat conduction oil heater, and secondary gradient heating is carried out; and then another path of fresh air which is heated for one time and not mixed is introduced, the fresh air is mixed with the mixed air heated to the temperature higher than the process temperature again, and after the process temperature is reached, the mixed air is fed into the pre-oxidation furnace. And by controlling the flow of the newly introduced fresh air, the effect of accurately controlling the temperature of the mixed air at the process temperature is achieved.

The invention relates to the technical field of chemical heat storage, in particular to a multi-energy complementary peak regulation heat supply method and device based on chemical heat storage. The method comprises the steps that firstly, real-time weather information and calendar information of an area where the heat supply pipe network is located are collected; based on the two types of information, a first heat supply energy consumption curve, namely an actual heat supply demand curve, of the current area is generated through feature fusion and a prediction model; comparing the heat supply energy consumption curve with a preset second heat supply energy consumption curve, namely an inherent heat supply capacity curve of the traditional energy power supply unit, and calculating to obtain a heat supply energy consumption fluctuation curve reflecting a supply-demand gap; and finally, the on-off state and opening degree of each valve and output of a traditional energy power supply unit are dynamically regulated and controlled according to the fluctuation curve, multi-energy collaborative scheduling is achieved, through the mechanism, the heat supply requirement and energy supply can be accurately matched, the energy utilization efficiency is remarkably improved, green power consumption is maximized, and the operation cost is reduced.

The invention discloses a multi-heat-source complementary combined heat supply method, which relates to the technical field of intelligent heat supply, and comprises the following steps: S1, constructing a distributed heat source management module: deploying a multi-element sensor to obtain heat source operation data, mastering a heat source rule through processing and analysis, regulating and controlling equipment according to a threshold value and early warning abnormity, S2, constructing an energy supply and demand matching algorithm, S3, constructing an intelligent scheduling platform, and S4, managing the intelligent scheduling platform. S4, establishing an energy storage and adjustment mechanism; S5, optimizing a heat supply pipe network and distribution; and S6, performing emergency guarantee plans and measures. By constructing a distributed heat source management module, an energy supply and demand matching algorithm and an intelligent scheduling platform, accurate monitoring and intelligent control of heat source equipment parameters, optimization of a heat supply strategy, integration of data and visual interaction are realized, the management efficiency and flexibility are improved, heat source abnormity is timely processed, heat load change is adapted, and the energy utilization rate is improved. And the equipment is remotely controlled, so that the stability of the heat supply system is comprehensively guaranteed, and unnecessary energy waste is reduced.

The invention relates to a water heater fixed-point preheating method and system based on self-learning user habits. The water heater fixed-point preheating method comprises the following steps that S1, historical data of all water consumption points of a user under the zero cold water condition are continuously obtained; s2, updating the preference score of each water consumption point based on the historical data of each water consumption point; s3, comparing the preference scores of the water consumption points, and determining the water consumption point with the highest score as a target water consumption point; and S4, a user instruction is received, and a water heater is controlled to conduct fixed-point preheating on a water using pipeline corresponding to the target water using point. According to the method, intelligent fixed-point preheating under the condition of non-specified water consumption points is realized in a mode of intelligently learning user habits, so that excessive preheating is avoided, the energy loss is further reduced, and the use experience of the user is improved.

The application belongs to the technical field of control system, and particularly relates to a composite heating method and system for starting and running of a molten salt pipeline, which comprises a resistance electric heat tracing band evenly laid along the outer wall of a pipeline to be heated, and an electromagnetic induction heat tracing device arranged on a set pipe section of the outer wall of the pipeline at a specific interval; when the pipeline is in an empty pipe state, the resistance electric heat tracing band is started, and the whole pipeline is heated to a first preset temperature higher than a solidification point of molten salt according to a pipe wall temperature; when the whole pipeline temperature reaches the first preset temperature and is maintained for a set time, and the temperature field stability condition and the heat preservation duration condition are met, molten salt is injected into the pipeline, then the resistance electric heat tracing band is turned off, and the electromagnetic induction heat tracing device is started; at this time, the molten salt medium temperature at the outlet of the pipeline is taken as a control target, and the temperature of the molten salt in the pipeline is maintained at a higher second preset temperature by independently adjusting the power of each distributed electromagnetic induction heat tracing device. Through coupling of the heating mode and the medium state, a balance is achieved among safety, energy consumption and temperature control.

The invention relates to the technical field of metal material performance detection, and discloses a method for detecting ductile-brittle transition temperature of a metal material based on a thermal method. The method comprises the following steps: acquiring the average grain size of a material through three-dimensional characterization, quantitatively estimating the movable dislocation density generated by grain boundary thermal activation emission at a specific temperature in combination with a preset dislocation emission coefficient, and linearly superposing the movable dislocation density with the inherent pre-stored movable dislocation density of the material to obtain a total movable dislocation density estimated value. And comparing the total movable dislocation density calculated at different temperatures with the ductile-brittle transition critical threshold obtained from the material knowledge base to determine the critical temperature meeting the condition, namely the ductile-brittle transition temperature. According to the method, the mechanical prediction of the ductile-brittle transition temperature is realized by quantifying the contribution of a key dislocation source from a plastic deformation microphysical mechanism, and the dependence of a traditional method on a large number of destructive experiments is reduced.

This invention discloses an open, non-contact liquid heating method, comprising: collecting temperature data of multiple points of dialysis fluid and heating unit, and obtaining flow rate deviation and temperature sensor consistency deviation indices during dialysis fluid infusion; preprocessing the temperature data to obtain a stable multi-source temperature data sequence; fusing the multi-source temperature data to obtain the dialysis fluid characterization temperature, and analyzing it in conjunction with temperature change characteristics, flow rate deviation, and temperature sensor consistency deviation indices to construct a system state characterization quantity; identifying the heating stage based on the system state characterization quantity, using the dialysis fluid characterization temperature as the control target, generating heating control quantities according to the heating stage, and introducing compensation corrections when the flow rate changes; performing anomaly detection based on the system state characterization quantity, and jointly judging it in conjunction with the flow rate deviation and temperature sensor consistency deviation indices, generating anomaly scores based on the judgment results, and outputting corresponding hierarchical control strategies.

A laminate cooling structure performance optimization method adaptive to uncertainty analysis comprises the following steps: firstly, establishing a parameterized finite element model of a flame tube laminate cooling structure, and realizing flow heat exchange mechanism analysis of the laminate cooling structure by adopting a solid-thermal coupling mode; carrying out a DOE experiment by using Latin hypercube sampling LHS, generating a parameter set, importing the parameter set into a parameterized finite element model, obtaining a data set of a training proxy model BP-NN by combining a laminate cooling structure solid-heat coupling heat exchange method, and carrying out uncertainty quantification in a design space of the parameters of the laminate cooling structure by using an MC simulation method; using a Sobol sensitivity analysis method to analyze the uncertainty of the laminate cooling structure; the training agent model is combined with a multi-target particle swarm optimization algorithm to carry out multi-target optimization on the laminate cooling structure parameterization, and a laminate cooling ideal structure is found in the Pareto frontier; according to the method, the calculation cost and time of uncertainty analysis are reduced, and the calculation cost of laminate cooling uncertainty analysis is greatly reduced.

The invention discloses a dynamic matching heat supply method and device based on heat load prediction and a medium, and the method comprises the steps: obtaining real-time environment data and historical heat supply data of a target heat supply area to construct a multi-dimensional data source, inputting the multi-dimensional data source to a pre-trained long-short-term memory network model, and outputting a heat load prediction value in a future designated time period; real-time heat data of a municipal heat source is obtained, and a municipal heat source flow adjusting instruction and an air source heat pump output adjusting instruction are generated based on a preset heat source matching algorithm; the municipal heat source flow adjusting instruction is sent to a flow adjusting executing mechanism in a municipal heat supply pipe network to control the heat supply amount of a municipal heat source, and an air source heat pump output adjusting instruction is sent to an air source heat pump control unit to control the start-stop state and the heating output power of an air source heat pump; and the real-time heat supply amount of the municipal heat source and the air source heat pump is monitored in real time, and the real-time heat supply amount is compared with the heat load predicted value to adjust the municipal heat source flow adjusting instruction and the air source heat pump output adjusting instruction.

The application discloses a linkage heating method, device, equipment and medium of an air conditioner and a third-party heat source. The method comprises the following steps: determining a current heating mode according to received control information; if the current heating mode is linkage heating, controlling the air conditioner equipment and the third-party heat source to perform linkage heating according to a current indoor temperature and a set temperature; and if the current heating mode is single heating, controlling the air conditioner equipment or the third-party heat source to perform single heating according to a preset balance point temperature, the current indoor temperature and an obtained outdoor temperature. The method can solve the problem that the working of a heating equipment cannot be effectively coordinated in the prior art.

The application discloses an adiabatic accelerating calorimetry method with fast reaction heat loss correction. The application realizes more accurate calculation of sample reaction kinetics and thermodynamics by compensating the convection and conduction heat loss in the fast reaction stage; differential equations are derived and solved from the perspective of heat balance by using heat transfer analysis; a new heat loss calibration mode is added, the HWS heating stage is divided into two parts, the convection heat loss coefficient is calibrated by tracking the reaction system temperature by controlling the cover temperature in the first part, and the conduction heat loss coefficient is calibrated by controlling the constant temperature of the furnace body in the second part; the linear fitting and interpolation method are used to solve the relationship between the heat loss coefficient and the temperature in the reaction process; and finally, the heat loss in the reaction process is integrated to compensate the sample heat release. The application improves the accuracy and reliability of the solution of thermodynamic and kinetic parameters.

The application relates to the technical field of chemical heat storage, in particular to a low-grade heat upgrading chemical heat storage system and a heat storage method, which comprises the following: a humidifying atomizer connected with a low-grade wastewater conveying pipe and a compressed air conveying pipe; a preheater connected with the humidifying atomizer; one end of a first packed bed module connected with the preheater through a second valve; one end of a second packed bed module connected with the preheater through a seventh valve; the other end of the second packed bed module connected with the other end of the first packed bed module through a fourth valve; the first packed bed module adapted to be used as an adsorption bed layer or a desorption bed layer, and correspondingly, the second packed bed module adapted to be used as a desorption bed layer or an adsorption bed layer. The first packed bed module and the second packed bed module are alternately used as the adsorption bed layer and the desorption bed layer respectively; the efficient continuous heat chemical reaction storage / release process is realized; the low-grade waste heat upgrading maximization is realized; and the defect of discontinuous heat chemical storage is solved.

The invention belongs to the technical field of trough type solar thermal power generation, and discloses a medium-free preheating method and system for a trough type heat collector, which are suitable for a trough type photo-thermal power station taking fused salt, heat-conducting oil and the like as heat collecting media and can be applied to preheating before the heat collector is put into operation for the first time, restarting preheating after maintenance and conventional preheating scenes in a low-temperature environment. The invention further discloses a medium-free preheating system for the trough type heat collector, the medium-free preheating system is used for achieving the corresponding medium-free preheating method, the medium-free preheating system comprises a trough type heat collector body, a driving control system, a medium injection unit, a temperature monitoring device and an irradiation sensing unit, and all the components are connected through signal lines or pipelines to cooperatively complete the preheating and medium injection process. The invention further discloses a temperature monitoring device of the medium-free preheating system for the groove type heat collector, the temperature monitoring device comprises a temperature sensing module, a signal transmission module and a data processing module, a distributed arrangement mode is adopted, and the temperature monitoring device is used for collecting multi-point temperature data of the pipe wall of the heat collecting pipe in real time and providing a reliable basis for regulation and control in the preheating process.

An intelligent warm-up method of machine tool, applicable to a machine tool, includes: a step of, based on temperature change data and thermal displacement data of a spindle measured at different time points, establishing a thermal compensation model; a step of, while the machine tool performs a warm-up process, inputting temperature change values measured at least one component of the machine tool at intervals to the thermal compensation model to obtain corresponding thermal-displacement estimated values of the spindle at different time points and changes of thermal displacement values at individual time points; and, a step of, based on the changes of the thermal displacement values at the individual time points, deriving corresponding warm-up completion degrees.

The embodiment of the invention provides a heating method and device and a storage medium, and the method is applied to heating equipment and comprises the steps that initial heating power is determined according to the target weight of a to-be-heated target; acquiring a temperature difference value between the real-time temperature of the target to be heated and the target temperature; under the condition that the heating equipment is in a first mode, target heating power is determined according to the temperature difference value and the initial heating power; and heating the target to be heated to the target temperature based on the target heating power. Therefore, the initial heating power is determined according to the weight of the to-be-heated target, the heating power is adjusted based on the temperature difference value between the real-time temperature and the target temperature, the heating power is dynamically adjusted, the heating efficiency is improved, and energy is saved while the to-be-heated object is prevented from being excessively heated.

The invention relates to the technical field of injection molds, in particular to a conformal cooling water channel injection mold and an intelligent heat dissipation method. According to the invention, the heat dissipation efficiency of each detection point is obtained according to the temperature data change trend of each detection point at different moments; obtaining a plurality of detection point clusters according to the temperature data of different detection points at the initial moment; according to correlation coefficients of cooling liquid flow velocity data between each detection point and other detection points in the detection point cluster where the detection point is located and distribution of all the cooling liquid flow velocity data in each detection point, the flow velocity abnormal degree of each detection point is obtained; according to the flow velocity abnormal degree of different detection points in the same batch of injection molds and the heat dissipation efficiency distribution of all the detection points in the detection point cluster, the heat dissipation affected degree of the injection molds is obtained; and adjusting preset cooling parameters of intelligent heat dissipation. The cooling parameters of intelligent heat dissipation are optimized by accurately analyzing the overall influence degree of heat dissipation of the injection mold, and the heat dissipation efficiency is improved.

The invention provides a multi-heat source self-adaptive coupling Kara cycle heat supply method and system, and the method comprises the following steps: pressurizing an ammonia water mixture, preheating the pressurized ammonia water mixture, and reheating the preheated ammonia water mixture by using one heat source in multiple heat sources to form a gas-liquid two-phase flow; the gas-liquid two-phase flow is separated, separated ammonia-rich steam is subjected to expansion acting, dead steam generated after acting is mixed with the separated ammonia-poor liquid phase, and a uniform working medium is formed; the working medium and the heat supply working medium are subjected to heat exchange, and finally the cooled working medium is pressurized and preheated again to complete the circulation process; dependence of a traditional heat supply system on high-grade energy is effectively reduced, and the double advantages of energy conservation, consumption reduction and environmental protection are achieved.