1932results about "Central heating system" patented technology

The invention relates to a centralized heating balanced regulation and control method, device and equipment and a medium. The method comprises the steps that firstly, the heat supply area of a user and the heat use state of a neighbor are collected, the basic flow of the jet device is calculated according to an industrial standard formula, and final flow containing resistance characteristic data is obtained through secondary correction by combining a neighbor heat use state correction coefficient and an environment temperature influence factor. Extracting flow and inlet and outlet pressure difference from jet device parameters, adjusting a valve to enable the resistance proportion to reach a preset interval, calculating parameters such as unit area heat consumption by combining real-time flow and supply and return water temperature difference, generating regulation and control basic data through coupling analysis, adjusting the jet device when the regulation and control basic data reach the standard, and generating a dynamic scheme by combining a thermal load prediction model. And finally, capturing the flow pulse signal according to a fixed period to calculate a difference value, generating a valve control signal according to a threshold value, acquiring the water supply and return temperature after execution, and coupling with a dynamic scheme to generate a regulation feedback signal. By adopting the method, accurate regulation and control can be realized through multi-dimensional analysis, and the flow distribution accuracy and the heat supply balance are improved.

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 heat exchange station intelligent heat supply system, and relates to the field of heat exchange station intelligent heat supply, and the system comprises a stable heat supply module which is used for obtaining a preset target value for maintaining the total water supply temperature of a secondary network, and dynamically adjusting the total water supply temperature of the secondary network through a PID controller to maintain the preset target value; the model construction module is used for drawing a secondary network heat supply pipe network topological graph and constructing a heat supply pipe network real-time hydraulic model; the instruction generation module is used for predicting and generating a cooperative control instruction set of all the intelligent regulating valves in the whole network based on a genetic algorithm; the dynamic adjusting module is used for dynamically adjusting the opening degree of the adjusting valves according to the cooperative control instruction set of all the intelligent adjusting valves in the whole network; and the interaction platform module is used for building a user interaction platform and dynamically adjusting the opening degree of the adjusting valve according to feedback of the user interaction platform. The method has the advantages that by dynamically adjusting the opening degree of the adjusting valve, the heat supply comfort degree of a user is adapted in a personalized mode, and the problems of unified heat supply and unified pricing are avoided.

The application discloses a bathroom heater constant temperature control method, device, equipment, medium and program product, and relates to the technical field of smart home. The method comprises the following steps: acquiring environment data; in response to the fact that the biological body sensing data indicates that the environment where the bathroom heater is located does not contain a specified biological body, controlling the air outlet mode of the air outlet of the bathroom heater based on temperature data; and in response to the fact that the biological body sensing data indicates that the environment where the bathroom heater is located contains a specified biological body, controlling the air outlet of the bathroom heater to diffuse air in the diffusion air outlet mode. On the one hand, the air outlet mode of the air outlet of the bathroom heater is controlled based on the acquired temperature data, the air outlet mode of the air outlet of the bathroom heater is switched between the diffusion air outlet mode and the concentrated air outlet mode, the environment where the bathroom heater is located can quickly reach a constant temperature, and the working efficiency of the bathroom heater is improved. On the other hand, in the case that the environment where the bathroom heater is located contains a specified biological body, the air outlet mode of the air outlet of the bathroom heater is kept in the diffusion air outlet mode, and the performance utilization rate of the bathroom heater is improved.

The invention discloses a hydraulic intelligent balance regulation and control method and platform for multiple systems of a heat exchange station, and relates to the technical field of hydraulic balance of central heating systems, and the method comprises the steps: obtaining the real-time operation data of multiple heating systems of the heat exchange station, calculating the heat consumption data of a unit area, analyzing the hydraulic unbalance, and obtaining a hydraulic supply state parameter set; temperature change parameters of the heat exchange station are monitored, and a climate compensation adjustment curve is constructed in combination with hydraulic unbalance indexes; collaboratively optimizing the two to generate a multi-system valve control instruction set; adjusting and monitoring according to the instruction set and then feeding back and backtracking, and constructing a hydraulic balance regulation and control strategy to realize intelligent control. The technical problems that due to the fact that regulation and control of the multiple heat supply systems of the heat exchange station are lack of pertinence and collaboration and inaccurate in state judgment, heat supply is uneven and energy consumption is too high are solved, and the technical effects that the operation states of the multiple systems of the heat exchange station are precisely controlled and cooperatively adjusted, heat supply balance is improved, and overall energy consumption is reduced are achieved.

The invention relates to the technical field of data processing, in particular to a heat supply data monitoring system based on artificial intelligence. The system comprises a return water temperature prediction module, a deviation monitoring module, a thermal load analysis module, a first pipe network state monitoring module, a second pipe network state monitoring module and a parameter correction module. An expected return water temperature target value is calculated, and a deviation monitoring module captures the difference between an actual operation state and a theoretical value based on a heat balance principle; the thermal load analysis module accurately draws a system total load curve through data of a user side intelligent heat meter, when the system is abnormal, fault sources can be intelligently distinguished, whether set parameters are misaligned or not is judged according to a thermal inertia mechanism by recognizing near-end overheating and tail-end underheating, hydraulic instability and physical blockage are accurately positioned, and the system reliability is improved. Meanwhile, self-adaptive optimization of set parameters is achieved, the accuracy and timeliness of fault diagnosis of the heat supply system are improved, and stable and efficient operation of the heat supply system is effectively guaranteed.

The invention belongs to the technical field of energy consumption management, and particularly relates to an energy consumption optimization control method and system for heating and ventilation equipment, and the method comprises the steps: constructing a distributed pump set architecture, and converting a transmission and distribution system from a centralized regulation and control mode into a distributed regulation and control mode; developing adaptation technology and equipment; establishing a dynamic hydraulic balance regulation and control model by combining a digital twinning technology and an intelligent algorithm; the dynamic regulation and control model is used for optimizing the pump set operation state and the valve opening degree in real time; by constructing a distributed pump set framework, the system can independently adjust the rotating speed of the pump units according to the actual requirements of different sub-areas, the adaptability of the system to different working conditions and load changes is greatly improved, and the heating and ventilation requirements of all the areas can be more accurately met; the problem of excessive energy supply or insufficient energy supply of partial areas caused by overall adjustment in a centralized regulation and control mode is avoided, so that the overall operation efficiency and comfort of the system are effectively improved.

The invention relates to the technical field of intelligent heat supply, and discloses a load prediction energy-saving regulation and control method for secondary network heat supply. Extreme weather is identified through the multi-source meteorological data, and graded early warning signals are generated; collecting and processing data flow of a heat supply pipe network and an indoor sensor; fusing the data flow and the early warning signal, and generating a thermal load prediction value subjected to physical constraint and dynamic compensation by adopting a hybrid prediction model; based on the early warning level and the predicted value, a multi-objective optimization problem is solved in a rolling mode through model prediction control, and a water supply temperature and water pump frequency setting curve is generated; and finally, after instruction smoothing and safety verification, an execution mechanism is driven to complete accurate regulation and control. According to the invention, by constructing a sensing, predicting, optimizing and executing full-link intelligent regulation and control system, the industrial problem that the rapid mutability of extreme weather is not matched with the slow dynamic response of the system is solved, and the regulation and control quality and the energy efficiency level of the heat supply system are remarkably improved.

The invention provides an intelligent heat supply regulation and control system and method based on building thermal inertia and waste heat recovery. The method comprises the following steps that building thermal parameters, indoor and outdoor environment data, user heat consumption preference and waste heat resource parameters are collected; based on the collected data, obtaining a building thermal inertia coefficient and a building temperature attenuation prediction curve in a future time period; the collected waste heat is subjected to heat exchange with a municipal heat source, and a hybrid heat source is prepared; based on the temperature attenuation prediction curve, the state of the hybrid heat source and user requirements, adjusting instructions for the municipal heat source, the waste heat recovery unit and the heat supply pipe network are generated; the problems of energy waste and comfort reduction caused by adjustment lag of a traditional system are effectively solved.

The invention relates to the technical field of intelligent heat supply management, in particular to an intelligent heat supply integrated management system based on multi-source data driving, which comprises a multi-source data acquisition module for acquiring multi-source data of each target heat supply area of a heat supply network; the key delay time extraction module is used for acquiring the adjustment condition of the heat supply control data to generate key delay time; the sensitive parameter identification module is used for determining a heat supply adjustment sensitive parameter and a heat supply response sensitive parameter based on the key delay time; the characteristic interval analysis module is used for determining a change trend characteristic interval based on a pre-change trend corresponding to the change characteristic interval; the pre-adjustment time determining module is used for determining a plurality of pre-adjustment times based on the change trend characteristic interval; and the pre-adjustment time calling module is used for acquiring the real-time multi-source data of the heat supply network to determine whether pre-adjustment is started or not, and determining the pre-adjustment time. The response speed and the adjusting precision of the heat supply system are improved.

The invention provides a noise isolation type heat energy transfer heating method and system, and belongs to the technical field of industrial waste heat utilization and heating ventilation air conditioning. The system comprises a waste heat fluid collecting unit, a first-stage heat exchanger unit, a middle heat transfer medium circulating unit, a second-stage heat exchanger unit and a heating circulating water conveying unit which are sequentially connected through pipelines. The system further comprises an acoustic isolation structure unit, a temperature regulation and control unit and a system supporting frame unit which are coupled with the thermal unit structure. The core of the system is that through thermal-acoustic integrated collaborative design, waste heat of heat source equipment is efficiently transferred, meanwhile, effective isolation of overall operation noise of the system is achieved through a multi-mode and multi-physical-field noise suppression mechanism, the technical contradiction that heat energy recovery and noise control are separated mutually in the prior art is solved, and the system is suitable for large-scale popularization and application. And the device is particularly suitable for heating places with strict requirements on sound environments.

The invention discloses an operation and maintenance management method and system for a heating station, and relates to the technical field of heating station operation and maintenance management, and the method comprises the steps: obtaining the physical topological structure information of each heating station in a heat supply pipe network and the historical heat load response information of a corresponding user side; according to the physical topological structure information and the historical thermal load response information, the comprehensive correlation degree between any two heating stations is determined; based on the comprehensive correlation degree, the heating stations which are stable in operation state and have typical representativeness are screened out to serve as characteristic heating stations; generating a remote operation and maintenance strategy for the non-characteristic heating station by using the historical operation and maintenance record and the operation stability performance of the characteristic heating station; in the operation process of the system, performing consistency verification on the real-time operation data of the non-characteristic heating station and the associated characteristic heating station, and performing remote processing on an abnormal meter according to a remote operation and maintenance strategy; and according to the consistency verification result and the remote processing feedback, a heat supply equipment regulation and control instruction is generated and issued to an execution mechanism.

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

Waste heat cascade utilization system for the synergistic recovery of heat energy from heat exchange and milling heat, characterized in that it includes a mechanical heat recovery device, a primary preheating device, a secondary steam generation device and a tertiary low-temperature utilization device; wherein the mechanical heat recovery device connects the heat-generating components of the blower mill to the dry pipe inlet air duct in order to absorb the heat generated by the heat-generating components of the blower mill and transfer it to the dry pipe inlet air duct; wherein the primary preheating device, the secondary steam generating device and the tertiary low-temperature utilization device are arranged sequentially in the flue gas duct at the dry pipe flue gas outlet; wherein the heat outlet of the primary preheating device is connected to the combustion air duct of the boiler in order to preheat the combustion air of the boiler; wherein the steam outlet of the secondary steam generating device is connected to the steam inlet of a steam turbine to assist the turbine in driving a generator for electricity generation; and wherein the tertiary low-temperature utilization device is connected to the process water line to regulate the process water temperature and to assist the plant heating.

The invention relates to the field of peak regulation of coal-fired power plants, in particular to a coal-fired boiler direct-drive high-temperature molten salt two-stage heat storage power generation heat supply peak regulation system and method, and the system comprises a coal-fired boiler unit which comprises a coal-fired boiler capable of generating flue gas carrying heat and a flue gas pipeline allowing flue gas to circulate; the fused salt heat storage unit comprises a fused salt storage vessel such as a fused salt tank capable of containing fused salt and a fused salt pipeline allowing the fused salt to circulate, and the fused salt can exchange heat with flue gas in the flue gas pipeline so as to store heat; the one or more power generation units are used for generating power through part of the heat stored by the fused salt heat storage unit, and under the condition that the multiple power generation units are arranged, the multiple power generation units can be independently adjusted; and the heat supply unit is used for supplying heat by using part of the heat stored by the fused salt heat storage unit. With such a configuration, it is possible to achieve power generation and heat supply by coupling the coal-fired boiler and the two-stage molten salt.

A variable-frequency heat pump water heater (107), a control method therefor, an apparatus, and a storage medium. The variable-frequency heat pump water heater (107) is powered by a grid-connected photovoltaic power generation system. The control method comprises: acquiring the current operation state of the variable-frequency heat pump water heater (107); on the basis of the current operation state, determining a photovoltaic residual electricity consumption scheme of the photovoltaic power generation system; and on the basis of the photovoltaic residual electricity consumption scheme, controlling the variable-frequency heat pump water heater (107) to operate, the operation states of the variable-frequency heat pump water heater (107) at least comprising a first state in which heating is not started and a second state of heating on the basis of a compressor, and the types of the photovoltaic residual electricity consumption scheme at least comprising a first scheme corresponding to the first state and a second scheme corresponding to the second state.

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

The invention provides a control method and device for a multi-heat-source heat supply system. The control method and device can be applied to the technical field of intelligent heat supply. The method comprises the following steps: performing nonlinear conversion on initial prediction characteristics obtained by performing gating processing on respective characteristic sequences of meteorological information and previous load information of a building to obtain load prediction information of a heat supply system, and performing fusion processing on node information, branch pipe information and respective constraint conditions in previous operation information of a heat supply pipe network to obtain load prediction information of the heat supply system; water and heat distribution information of the heat supply pipe network is obtained; on the basis of the load prediction information, the hydrothermal distribution information and a target function, start-stop combination information and load distribution information of the multiple heat supply devices in the target time window are determined, and the target function is determined by energy cost information, load fluctuation information of the heat supply devices and start-stop times; and converting the start-stop combination information and the load distribution information into a control instruction and sending the control instruction to execution equipment so as to carry out heat supply control on the heat supply system.

The invention discloses a solar energy and ground source heat pump coupling heat supply method and system based on machine learning, and relates to the technical field of heat supply energy management, and the method comprises the steps: taking the minimum system energy consumption as the target, and using a double-delay depth deterministic strategy gradient neural network model to optimize the output distribution of the solar energy and the ground source heat pump. The model adapts to dynamic working conditions, solar energy is utilized preferentially, and the high-energy-consumption operation time of the ground source heat pump is shortened. Multi-dimensional data are collected through the Internet of Things and an environment monitoring system to construct a state space, a heat supply temperature deviation and equipment operation efficiency reward function is introduced, it is guaranteed that the heat supply temperature is stable, efficient operation of the ground source heat pump is guaranteed, and complex working conditions are dealt with. And full-process automation is realized by relying on a machine learning model, a load distribution sequence is generated through an optimal heat supply load distribution model, and dynamic adjustment is automatically completed by combining a PI controller to output total demand power.

The invention provides a centralized heating optimal scheduling method and system based on multi-heat-source dynamic matching, and the method comprises the steps: constructing a thermal load prediction model, and fusing various types of data to generate a thermal load demand dynamic curve in the next 24 hours; establishing a dynamic priority ranking model, and generating a heat source priority sequence; generating a multi-heat-source cooperative operation strategy; constructing a multi-heat-source dynamic matching optimization model to obtain an optimal scheduling strategy; heat sources are adjusted in real time through the central control system, and dynamic correction is conducted by combining pipe network feedback data; and periodically updating the thermal load prediction and dynamic priority ranking model. According to the method, a bidirectional LSTM neural network is fused with data to construct a high-precision thermal load prediction model, and a curve is generated in combination with a feature pyramid network; meanwhile, related data are periodically combined, the weight of the LSTM neural network is updated through an incremental learning algorithm, the weight of the priority ranking model is adjusted through a gradient descent method, the adaptability of the prediction model is continuously optimized, and the prediction precision is improved.

The utility model discloses an electric multifunctional barbecue firewood stove, and relates to a multifunctional stove which has the functions of automatic turnover of barbecue, heating, fire observation, boiling, frying and frying in the field of outdoor camping, picnic and travel. A downward turning type oven door with a glass window is arranged on an oven body, an electric turning module is installed on the oven door, in the barbecuing process, a food material string can be laterally erected beside charcoal fire to be automatically rotated and barbecued through the module, manual food turning and charcoal dense smoke fire are avoided, and food material taking and seasoning spraying are convenient and safe after the oven door is opened in a downward turning mode. The combined stove cover is composed of a main stove cover and expansion covers, a boiling square pot, a roasting net and a frying pan can be placed after the main stove cover is opened, and the expansion covers, a chimney assembly, a teakettle and the like can be fixed at the positions of the two expansion covers on the main stove cover. And parts such as a folding storage plate, a firewood tray, an ash receiving tray (oven), a charcoal cage and a large barbecue bracket are also arranged. Various cooking modes of frying, boiling, boiling and baking are achieved in combination with the stove body, meanwhile, the number of processed food materials is large, and the stove has the heating and fire observing functions of a firewood stove.

The invention relates to a boiler flue gas heat recovery system which comprises a heat supply device, the heat supply device comprises a boiler and a heat supply pipeline, the heat supply pipeline comprises a boiler water inlet pipe and a boiler water outlet pipe which communicate with the boiler, a flue is formed in a smoke exhaust device, and a first heat exchanger and a second heat exchanger are sequentially arranged in the flue in the flue gas flowing direction; the first waste heat recovery device comprises a first waste heat recovery flow path and a heat pump, the first waste heat recovery flow path is connected with the first heat exchanger and a boiler water inlet pipe, the heat pump is arranged on the first waste heat recovery flow path, the second waste heat recovery device comprises a second waste heat recovery flow path, and the second waste heat recovery flow path communicates with external air and a boiler. By arranging the heat pump, on one hand, the heat transfer temperature difference can be increased, smoke sensible heat and even part of latent heat can be efficiently recycled, on the other hand, the recycled heat can be flexibly adjusted according to changes of boiler loads, and therefore the system can adapt to changes of loads output by the system under different conditions.

One variation of a method includes, during a first time period preceding a predicted hot water consumption event within a building: triggering a heat pump arranged within a water heater to heat water toward a target supply temperature for water supplied to a building by the water heater; and, at the water heater, supplying water, proximal the target supply temperature, to the building during the hot water consumption event. This variation of the method also includes, during a predicted null hot water consumption window within the building: triggering the heat pump to maintain water stored in the water tank proximal a nominal temperature less than the target supply temperature; and, at the water heater, in response to detecting flow of water from the water heater, triggering an inline heater, arranged within the water heater, to heat water toward the target supply temperature.

The utility model relates to the technical field of heaters, in particular to an outdoor heater which comprises a heater body with an anti-toppling system, a handle is arranged on one side of the heater body, an installation device is fixedly connected to one side of the heater body, a split structure is assembled on the inner side of the installation device, and an installation block is fixedly connected to one side of the split structure. A mounting block is fixedly connected to one side of the mounting structure, a gas tank is fixedly connected to the inner side of the heater, a combustion device is arranged in the heater, a heat conveying pipe is fixedly connected to one end of the combustion device, a self-power-generating device is fixedly connected to the other end of the combustion device, and an over-temperature protection device is arranged in the heater; the other end of the heat conveying pipe is fixedly connected to one side of the split structure. The split structure comprises a first mounting shell and a second mounting shell, outdoor combustion and indoor heating are achieved through the split structure, the split structure is matched with the over-temperature protection device to accurately perceive the temperature and cut off gas in a linkage mode, and the gentle wind design can enable a user to perceive hidden dangers of equipment in time.

The invention discloses a thermal power plant heat supply efficiency adjusting method and system, and relates to the technical field of thermal power plant heat supply efficiency adjusting.The method comprises the steps that real-time operation data, weather forecast data and historical data of a heat source, a heat supply pipe network and a heat exchange station are collected; a thermal dynamic propagation model is constructed for each heat exchange station, and the time-varying delay time of heat energy transmission is quantified; performing feedforward compensation on the heat source reference load curve by using the time-varying delay time to generate a personalized load prediction curve; aggregating to form a total load adjusting instruction curve; the system comprises a data acquisition and fusion module, a thermal dynamic propagation model calculation module, a collaborative prediction and delay compensation module and a model self-correction module, source-load collaborative regulation and control are achieved, the problem of heat supply mismatch is solved, the energy efficiency and the model adaptability are improved, and the energy efficiency and the model adaptability are improved. The system stability is enhanced.

The invention provides an intelligent energy efficiency management method and system for a solar photo-thermal-photovoltaic-heat pump coupling system. The method comprises the steps that coupling energy state vectors including photovoltaic power generation real-time output power, the hot air temperature of an air duct outlet of a solar heat collector, the operation frequency of a heat pump compressor and the water temperature of the middle of a heat storage water tank are constructed; dynamically calculating a continuous discriminant quantity and a discrete risk sign based on the vector so as to evaluate the supply and demand trend and the energy efficiency risk of the system; generating a multi-path combined control strategy covering an electric side link, a photo-thermal link, a heat pump link and a heat storage link, and performing effective filtering on a control command in combination with an equipment state inspection result; and finally, executing instructions are issued in stages according to path priorities, so that closed-loop energy efficiency adjustment is realized. According to the invention, the cooperation efficiency and the operation safety of the multi-energy coupling system are improved.

The invention discloses a hot water circulation efficiency optimization method in a building heat supply system, and belongs to the technical field of building energy management and heat supply control. Comprising the steps that 1, historical operation data and current system parameters of the building heat supply system are obtained; 2, constructing a three-dimensional working condition feature library containing load features, time dimensions and operation modes, and calculating the occurrence probability and importance coefficient of each working condition in advance; 3, current operation data of the building heat supply system are collected in real time; step 4, identifying the type of the current operating condition of the system, and obtaining a feature weight corresponding to the operating condition; 5, performing quantitative evaluation on the hydraulic balance, the thermal distribution characteristic and the energy consumption level of the system under the current working condition, and generating a working condition operation characteristic evaluation report; and 6, judging whether the current operation state meets a preset efficiency standard or not according to the working condition operation characteristic evaluation report.

The invention relates to the technical field of heat supply system automation control, and discloses a heat supply network dynamic balance adjusting system based on real-time working conditions, which comprises a pipe network digital modeling module used for establishing a digital topological structure of a heat supply pipe network, initializing physical parameters of each component of the pipe network, and establishing a real-time working condition; comprise the length, the inner diameter, the absolute roughness of the pipe wall and the initial hydraulic resistance coefficient of the pipe section; the online self-correction module is used for dynamically correcting the hydraulic parameters stored in the pipe network digital modeling module by actively injecting a coding acoustic probe and analyzing whole network echoes in the system operation process; and the bimodal state prediction module is used for predicting the corrected hydraulic parameters based on the corrected hydraulic parameters. The output of the acoustic wavefront propagation unit is used as the input of the thermal wavefront propagation unit, so that internal coupling and collaboration of two modal prediction models are realized; through the design, the prediction of the thermal state can accurately count the flow velocity change caused by hydraulic regulation and control in real time.