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CN-122018300-A - Intelligent low-temperature steam heating system and equipment applying digital twin cooperative regulation and control

CN122018300ACN 122018300 ACN122018300 ACN 122018300ACN-122018300-A

Abstract

The invention provides an intelligent low-temperature steam heating system and equipment applying digital twin collaborative regulation, which comprise a data acquisition module, a data analysis module, an instruction generation module and a collaborative regulation module, wherein the data acquisition module is used for acquiring inlet steam temperature, pressure and environmental temperature data of each steam using device, the data analysis module is used for analyzing and determining steam dryness corresponding to each steam using device based on a pre-training pipeline heat loss correction neural network model, the instruction generation module is used for respectively matching the steam dryness with real-time service requirements of each steam using device and carrying out collaborative decision on a matching result to determine a steam flow distribution instruction, the collaborative regulation module is used for carrying out operation simulation on the steam flow distribution instruction based on a digital twin model constructed by a steam pipe network, predicting the pressure fluctuation and water hammer risk of the pipe network and sending the steam flow distribution instruction to a collaborative regulation center after the operation simulation is passed. The safety and the reliability of the system operation are obviously improved.

Inventors

  • GAO FENG
  • LIU DEYING
  • SHAO LONG
  • GAO FEI

Assignees

  • 中创联智(江苏)科技发展有限公司

Dates

Publication Date
20260512
Application Date
20260324

Claims (11)

  1. 1. An intelligent low-temperature steam heating system applying digital twin cooperative regulation, which is characterized by comprising: The data acquisition module is used for acquiring inlet steam temperature, pressure and environmental temperature data of each steam device in the steam pipe network; the data analysis module is used for determining an accumulated heat loss value based on the environmental temperature data and a preset pipeline heat conduction coefficient in a steam pipe network, correcting a total wet steam enthalpy value determined according to inlet steam temperature and pressure based on the accumulated heat loss value to obtain a standard total wet steam enthalpy value, and determining steam dryness corresponding to each steam using device based on the standard total wet steam enthalpy value, a saturated steam enthalpy value and a saturated water enthalpy value under corresponding pressure; the instruction generation module is used for matching the steam dryness with the real-time service requirements of each steam-using device respectively, and carrying out collaborative decision on the matching result based on a multi-agent collaborative decision algorithm to determine a steam flow distribution instruction; and the cooperative regulation and control module is used for carrying out operation simulation on the steam flow distribution instruction based on a digital twin model constructed by the steam pipe network, predicting the pressure fluctuation and the risk of water hammer of the pipe network, and sending the steam flow distribution instruction to the cooperative regulation and control center for cooperative steam flow distribution after the operation simulation passes.
  2. 2. An intelligent cryogenic steam heating system employing digital twin collaborative regulation according to claim 1, wherein the data acquisition module includes: the command issuing unit is used for respectively acquiring communication addresses of a temperature sensor and a pressure sensor which are preinstalled on an inlet steam pipeline of each steam device in the steam pipe network and an environment temperature sensor which is preinstalled in an environment where each steam device is located, and sending data acquisition commands to the temperature sensor, the pressure sensor and the environment temperature sensor at regular time based on the communication addresses by the management terminal; the data acquisition unit is used for: Controlling a temperature sensor to acquire a temperature analog signal of inlet steam and controlling a pressure sensor to acquire a pressure analog signal of the inlet steam based on a sending result, and simultaneously controlling an environment temperature sensor to acquire an environment temperature analog signal of an environment where the steam equipment is located; converting a temperature analog quantity signal, a pressure analog quantity signal and an environment temperature analog quantity signal into digital quantity signals based on a preset analog-to-digital converter, and packaging the obtained digital quantity signals based on a timing time period to obtain data frames corresponding to each period; And the data returning unit is used for returning the obtained data frame to the data processing center based on a preset wireless communication network.
  3. 3. An intelligent cryogenic steam heating system employing digital twin collaborative regulation according to claim 1, wherein the data analysis module includes: The data calling unit is used for calling the acquired inlet steam temperature, inlet steam pressure and environmental temperature data corresponding to each steam-using device, and respectively inputting the called inlet steam temperature, inlet steam pressure and environmental temperature data corresponding to each steam-using device as input parameters into the pre-training pipeline heat loss correction neural network model; a data analysis unit for: Determining a saturated steam enthalpy and a saturated water enthalpy under corresponding pressure according to the inlet steam temperature and the inlet steam pressure based on the pre-training pipeline heat loss correction neural network model, and determining a total enthalpy of wet steam based on the inlet steam temperature and the inlet steam pressure; determining the heat loss amount of the steam in unit length in the process of conveying the steam from the main pipe network to the inlets of all steam consuming devices based on the environmental temperature data and the heat conduction coefficient of the preset pipeline in the steam pipe network, calculating the heat loss amount of the unit length according to the pipeline length data, and determining an accumulated heat loss value; And simultaneously, correcting the total enthalpy value of the wet steam based on the accumulated heat loss value to obtain a standard total enthalpy value of the wet steam, and analyzing the standard total enthalpy value of the wet steam, the saturated steam enthalpy value and the saturated water enthalpy value under the corresponding pressure based on a preset dryness analysis strategy to obtain the dryness of the steam corresponding to each steam using device.
  4. 4. An intelligent cryogenic steam heating system employing digital twin collaborative regulation according to claim 3, characterized in that the data analysis unit includes: The data correction subunit is used for acquiring the obtained total enthalpy value and the accumulated heat loss value of the wet steam, defining the accumulated heat loss value as a negative value, and adding the negative value with the total enthalpy value of the wet steam to obtain a standard total enthalpy value of the wet steam; A steam dryness determining subunit for: Obtaining saturated steam enthalpy values and saturated water enthalpy values corresponding to the inlet steam pressure of each steam utilization device, determining a first difference value between the total standard wet steam enthalpy value and the saturated water enthalpy value, and determining a second difference value between the saturated steam enthalpy value and the saturated water enthalpy value; and determining the ratio of the first difference value to the second difference value, and obtaining the corresponding steam dryness of each steam using device based on the ratio result.
  5. 5. An intelligent cryogenic steam heating system employing digital twin collaborative regulation according to claim 1, wherein the instruction generation module includes: the matching judging unit is used for matching the steam dryness corresponding to each steam-using device with the real-time service requirement of each steam-using device and judging whether the current steam dryness meets the real-time service requirement of each steam-using device; an instruction determination unit configured to: If the current steam dryness does not meet the real-time service requirement of the first steam equipment and the first steam equipment predicts that the steam flow is required to be increased, sending a steam using request to a cooperative regulation and control center based on a multi-agent cooperative decision algorithm; And based on coordination of the coordination control center according to the steam consumption request, the second steam consumption equipment which is in the heat preservation stage and has the steam dryness meeting the real-time service requirement suspends the steam consumption, and the steam consumption request of the first steam consumption equipment is matched with the suspend steam consumption response of the second steam consumption equipment, so as to determine a steam flow distribution instruction.
  6. 6. An intelligent cryogenic steam heating system employing digital twin collaborative regulation according to claim 5, characterized in that the instruction determination unit includes: The intelligent agent determining subunit is used for virtualizing each steam using device in the steam pipe network into an intelligent agent with autonomous request and response capability; the data generation subunit is used for generating steam consumption request data or suspension steam consumption response data of each steam consumption device according to the corresponding steam dryness and real-time service requirements based on each intelligent agent; The sending subunit is used for sending the generated steam consumption request data or the delayed steam consumption response data to the cooperative regulation and control center based on each intelligent agent; The negotiation arbitration subunit is used for negotiating and arbitrating in the cooperative regulation and control center based on the received steam consumption request data and the steam consumption suspension response data according to the central regulation and control logic; the instruction generation and issuing subunit is used for generating a steam flow distribution instruction according to the negotiation and arbitration result based on the cooperative regulation and control center, and issuing the instruction to the executor corresponding to each steam-using device.
  7. 7. An intelligent cryogenic steam heating system employing digital twin cooperative regulation as claimed in claim 1, wherein the cooperative regulation module comprises: The model building unit is used for accessing the management terminal, acquiring the physical topological structure, the pipeline geometric parameters and the fluid dynamics characteristics of the steam pipe network based on the access result, and building a digital twin model of the steam pipe network based on the physical topological structure, the pipeline geometric parameters and the fluid dynamics characteristics in the computer; a simulation unit for: Acquiring a steam flow distribution instruction and real-time operation state data of a steam pipe network at the current moment, wherein the real-time operation state data comprises pressure and temperature of each node and opening states of each steam regulating valve; loading real-time running state data into a digital twin model, and inputting a steam flow distribution instruction into the digital twin model as control to be executed based on a loading result; performing transient simulation in the digital twin model based on an input result, and determining a pressure dynamic response process of the steam pipe network in a preset time window based on the transient simulation result; A prediction unit for: Extracting time-varying sequence data of pressure of each node in a preset time window based on a pressure dynamic response process, and generating a pressure variation curve based on the time-varying sequence data of the pressure; Extracting slope change characteristics and pressure peaks of the pressure change curve, respectively comparing the slope change characteristics and the pressure peaks with corresponding preset thresholds, and predicting whether the pipe network pressure fluctuation out-of-limit or the water hammer risk occurs or not based on the comparison result to obtain a target prediction result; A cooperative regulation and control unit for: Matching the target prediction result with a preset safety constraint condition, and judging that the running simulation passes when the target prediction result meets the preset safety constraint condition; And sending a steam flow distribution instruction to a cooperative regulation center based on the judgment result, and performing opening cooperative control on the steam regulating valves at the inlets of the steam using devices based on the cooperative regulation center according to the steam flow distribution instruction.
  8. 8. An intelligent cryogenic steam heating system employing digital twin collaborative regulation according to claim 7, characterized in that the predictive unit includes: the prediction subunit is used for retrieving a preset pipeline resistance coefficient and a preset heat conduction coefficient in the steam pipe network based on the management terminal, and determining the pressure change rate and the flow rate change rate of fluid in the pipeline in the steam flow redistribution process by combining the steam flow distribution instruction; a judging subunit, configured to: comparing the obtained pressure change rate and the flow rate change rate with a corresponding preset pressure change threshold value and a corresponding preset flow rate change threshold value respectively; and when the pressure change rate exceeds a preset pressure change threshold or the flow rate change rate exceeds a preset flow rate change threshold, judging that the water hammer risk exists.
  9. 9. The intelligent low-temperature steam heating system applying digital twin collaborative regulation and control according to claim 1, wherein the data analysis module is characterized in that a pre-training pipeline heat loss correction neural network model is an adaptive control algorithm model based on deep reinforcement learning and is used for optimizing a low-temperature steam generation process in real time.
  10. 10. The intelligent low-temperature steam heating system applying digital twin cooperative regulation and control according to claim 1, further comprising a heat pump comprehensive heat supply module; the heat pump comprehensive heat supply module comprises a multi-stage heat pump and a steam heat accumulator; the input end of the multistage heat pump is used for accessing industrial waste heat; the output end of the multistage heat pump is connected to the inlet of the steam heat accumulator; The outlet of the steam heat accumulator is connected to the inlet of the steam pipe network; The multi-stage heat pump is used for gradually raising the industrial waste heat to the temperature for generating medium-low pressure steam and storing the steam into the steam heat accumulator; the steam accumulator is used for releasing stored steam when the steam pipe network is needed.
  11. 11. Intelligent low-temperature steam heating equipment applying digital twin cooperative regulation and control is characterized by comprising: The industrial waste heat recovery and temperature raising subsystem comprises a multi-stage heat pump for accessing industrial waste heat and a steam heat accumulator connected with the output end of the multi-stage heat pump; the inlet of the steam delivery pipe network is connected with the outlet of the steam heat accumulator and is used for delivering steam to a plurality of steam using devices; The steam utilization device execution terminals are respectively arranged on inlet pipelines of the steam utilization devices and comprise a steam regulating valve, a temperature sensor, a pressure sensor and an environment temperature sensor for collecting environment temperature; The collaborative regulation and control all-in-one machine is respectively in communication connection with the multi-stage heat pump, the steam heat accumulator, the steam regulating valve and each sensor, wherein a digital twin model of a steam pipe network is arranged in the collaborative regulation and control all-in-one machine and is configured to execute the following operations: collecting steam temperature, pressure and environmental temperature data of inlets of all steam utilization equipment; Determining an accumulated heat loss value based on environmental temperature data and a preset pipeline heat conduction coefficient in a steam pipe network, correcting a wet steam total enthalpy value determined according to inlet steam temperature and pressure based on the accumulated heat loss value to obtain a standard wet steam total enthalpy value, and determining steam dryness corresponding to each steam using device based on the standard wet steam total enthalpy value, a saturated steam enthalpy value and a saturated water enthalpy value under corresponding pressure; The steam dryness is matched with the real-time service requirements of each steam-using device respectively, and a collaborative decision is made on the matching result based on a multi-agent collaborative decision algorithm to determine a steam flow distribution instruction; And inputting a steam flow distribution instruction into a digital twin model for operation simulation, predicting pipe network pressure fluctuation and water hammer risk, and performing opening cooperative control on steam regulating valves at the inlets of all steam using equipment according to the steam flow distribution instruction after the operation simulation passes.

Description

Intelligent low-temperature steam heating system and equipment applying digital twin cooperative regulation and control Technical Field The invention relates to the technical field of automatic control, in particular to an intelligent low-temperature steam heating system and equipment applying digital twin cooperative regulation. Background At present, a steam heating system is a heat energy supply form widely applied in the fields of industrial production and heat supply, wherein the low-temperature steam heating system generally refers to a steam system with a working temperature in a specific range, and is commonly used in the process links with higher sensitivity to steam temperature such as food processing, spinning, medicine, regional heating and the like; The conventional low-temperature steam heating system adopts an independent control strategy of single-point feedback, for example, by setting a temperature sensor and a pressure sensor on a main pipeline, and feeding back and controlling the action of a pressure reducing valve or a desuperheater so as to stabilize the steam parameters of the main pipeline, each steam-using branch independently adjusts the opening of an inlet valve according to the feedback of an end sensor of each steam-using branch so as to meet the heat consumption requirement of the terminal, and the distributed control method has inherent defects: 1. flow disturbance generated during the adjustment of each branch circuit can be mutually coupled to influence the stability of the main pipeline pressure, so that the whole system fluctuates, and the accurate temperature control requirements of all terminals are difficult to meet at the same time; 2. When the operation working condition of the system is changed, the capacity of collaborative optimization of the states of all the devices is lacking, and the local requirements are often met at the expense of the whole energy efficiency, so that the steam utilization rate is low and the energy consumption is increased; 3. Although an automatic control unit or a simple PID regulating loop is introduced in the prior art, the control logic is still limited to feedback of local and current states, and the overall and dynamic thermodynamic behavior of the system cannot be predicted and prospectively optimized; 4. In addition, the traditional system often neglects the recycling of low-grade heat energy such as industrial waste heat and the like, so that a large amount of heat energy is directly discharged, serious energy waste and carbon emission increase are caused, and the dependence on primary energy sources (such as natural gas and coal) is high; Therefore, in order to overcome the defects, the invention provides an intelligent low-temperature steam heating system and equipment applying digital twin cooperative regulation. Disclosure of Invention The invention provides an intelligent low-temperature steam heating system and equipment applying digital twin collaborative regulation and control, which are used for replacing expensive hardware by an algorithm through introducing a soft measurement technology integrating data and mechanisms, realizing low-cost and high-precision real-time monitoring of steam dryness, effectively overcoming measurement deviation caused by pipeline heat dissipation of a traditional ideal formula, secondly, dynamically coordinating steam requirements of a plurality of steam consuming devices through a multi-agent collaborative decision mechanism, realizing peak clipping and valley filling, guaranteeing temperature stability, finally, constructing a pipe network digital twin model as a safety verification sand box before issuing control instructions, simulating and predicting risks such as water hammer and pressure oscillation in advance, realizing crossing from passive response to active safety pre-control, remarkably improving the safety and reliability of system operation, realizing intelligent closed loop of sensing, decision and safety verification, providing an economic, accurate, stable and safe overall solution for the low-temperature steam heating system, and further, realizing high-efficiency recycling of low-grade industrial waste heat to be converted into high-quality medium-low-pressure steam by introducing a heat pump comprehensive heat supply module, and remarkably reducing the energy consumption of the system. The invention provides an intelligent low-temperature steam heating system applying digital twin cooperative regulation, which comprises: The data acquisition module is used for acquiring inlet steam temperature, pressure and environmental temperature data of each steam device in the steam pipe network; The data analysis module is used for analyzing the inlet steam temperature, pressure and environmental temperature data based on the pre-training pipeline heat loss correction neural network model and determining the steam dryness corresponding to each steam using device; the instruction gene