Wine factory intelligent pipe heating method combining steam end heat storage and release and boiler steam supply

Abstract

The invention discloses a winery intelligent pipe heating method combining heat storage and release at a steam utilization end and steam supply by boilers, which comprises the following steps of: supplying steam through a boiler cluster arranged at the source side of a winery, conveying the steam to the steam utilization end through a steam heat supply network, adding a heat storage and release system at the steam utilization end, and establishing a winery source network load storage whole process digital twinborn model; in consideration of the production arrangement of each workshop and each team of the steam using end of the winery, the shift arrangement difference between the teams, the equipment operation characteristics of each link of wine making in the workshop, and the intermittency and periodicity of steam using, a machine learning algorithm is adopted to carry out steam using behavior identification and steam using demand prediction on the steam using end; an electric heat storage strategy and a steam heat storage strategy are set, the characteristics that boilers of the winery are started in the daytime and shut down at night are combined, a heat release pipe warming strategy is set, and intelligent pipe warming is conducted on the winery through steam generated by heat release and steam supplied by a boiler cluster; and establishing a heat storage and release system heating pipe regulation and control model and a boiler cluster steam supply heating pipe regulation and control model, and obtaining an optimal regulation and control strategy for the heating pipe of the winery.

Description

Technical Field

[0001] The invention belongs to the technical field of winery pipe heating, and in particular relates to an intelligent winery pipe heating method combining steam end heat storage and release and boiler steam supply. Background Art

[0002] The winery's energy supply system is a complex system that is closely coupled with the wine production system and is closely related to the brewing quality of the wine. With the continuous advancement of the national and regional dual-carbon strategies, the winery's energy use and management methods will also be optimized and improved.

[0003] The energy used in winemaking in the winery workshop is steam, which is mainly used for steaming grains, baking wine and other links. Usually, the steam used in the winemaking process of the winery is only used during the day, and production is stopped at night, so the steam supply boiler usually needs to be stopped at night and started in the morning to warm up the pipes and make wine. However, before the winemaking production, it takes a lot of time to drain the condensed water and start the heating pipes, which causes large energy losses. In addition, the heating pipes lack intelligent means. Simply relying on experience will cause the heating pipes to be too fast or too slow. Too fast may damage the steam heating network and cause safety risks, and too slow will cause the heating pipes to start too long. Therefore, how to realize intelligent heating pipes in wineries, save time and energy, and ensure the safety and economic feasibility of heating pipes is an urgent problem to be solved.

[0004] Based on the above technical problems, it is necessary to design a new intelligent pipe heating method for the winery that combines steam-end heat storage and release and boiler steam supply. Summary of the invention

[0005] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide an intelligent pipe heating method for a winery that combines steam-end heat storage and release with boiler steam supply. Through electric heat storage, steam heat storage and heat release pipe heating, the heating can be coordinated, precise and intelligent, and time and energy can be saved.

[0006] In order to solve the above technical problems, the technical solution of the present invention is:

[0007] The present invention provides an intelligent pipe heating method for a winery combining heat storage and release at the steam end and steam supply from a boiler, which comprises:

[0008] S1. Steam is supplied through a boiler cluster set up at the source side of the winery, and is transported to the steam-using end through the steam heat network. After a heat storage and release system is added to the steam-using end, a digital twin model of the whole process of the winery source, network, load and storage is established; the heat storage and release system includes a heat storage tank, an electric heater and an electric regulating valve;

[0009] S2. Considering the production arrangements of each workshop and each team at the steam-using end of the winery, the differences in shift scheduling between teams, the operating characteristics of equipment in each link of the workshop winemaking, the intermittent and periodic nature of steam use, a machine learning algorithm is used to identify steam use behavior and predict steam demand at the steam-using end;

[0010] S3. Based on the digital twin model of the whole process of the winery source, grid, load and storage, with the forecast results of the winery's steam demand and the electricity price mechanism as input parameters, the electric heat storage strategy and the steam heat storage strategy are set for the heat storage and release system at the steam end. In addition, the heat release and heating pipe strategy is set in combination with the daytime start-up and nighttime shutdown characteristics of the winery's boilers. The steam generated by heat release and the steam supplied by the boiler cluster are used for intelligent heating of the winery pipes, so that the steam end of the winery during the day can reach the set steam target parameters before production;

[0011] S4. Based on the set electric heat storage strategy, steam heat storage strategy and heat release heating pipe strategy, establish the heating pipe control model of the heat storage and release system and the steam supply heating pipe control model of the boiler cluster to obtain the optimal control strategy for the winery heating pipe, including the start and stop time and operating parameters of each equipment and valve in the heat storage and release system, and the start and stop time and operating parameters of the boiler cluster.

[0012] Further, in S1, the heat storage and release system is added at the steam-using end, including:

[0013] According to the site size and steam consumption of the steam-using end of the brewery, the site is selected near the workshop, team and steam drum of the original brewery, and a heat storage and release system is added;

[0014] Taking the optimization of economy and energy saving as the objective function, the operating constraints of the heat storage and release system are set, and a planning and design model of the heat storage and release system is established to obtain the optimal planning and design scheme of the heat storage and release system, including site selection, heat storage tank capacity and electric heater selection; the operating constraints of the heat storage and release system at least include the heat storage and release rate constraints, temperature range constraints and pressure range constraints of the heat storage tank.

[0015] Furthermore, the number of the electric regulating valves is multiple;

[0016] The heat storage tank is connected to the electric heater;

[0017] A first electric regulating valve is provided on the pipeline connecting the boiler cluster and the steam-using end;

[0018] A second electric regulating valve is provided on the pipeline connecting the heat storage tank and the boiler cluster;

[0019] A third electric regulating valve is provided on the pipeline connecting the heat storage tank and the steam using end;

[0020] The heat storage and release system also includes a pressure transmitter and a data acquisition control center. The pressure transmitter is arranged on the steam inlet pipeline at the steam-using end and the steam outlet pipeline of the steam retort drum to obtain the steam pressure on each pipeline.

[0021] The data acquisition control center is respectively connected with the heat storage and release system and the steam-using end, and is used to obtain the steam parameters of the heat storage and release system and the steam parameters of the steam drum of the workshop team at the steam-using end.

[0022] Furthermore, in S1, a digital twin model of the entire process of the winery source, grid, load and storage is established, specifically including:

[0023] Construct the physical model, logical model and simulation model of the whole process of steam supply from the brewery boiler cluster, steam transmission from the steam heating network, steam consumption at the steam user end and steam storage in the heat storage and release system;

[0024] The construction of the physical model of the whole process of the source-grid-load-storage of the winery includes: establishing a physical model according to the physical structure and attribute parameters of the boiler cluster on the source side of the winery, the pipe size and layout structure of the steam heat network, the distribution and physical structure of the workshops, teams and steam drums at the steam-using end, and the physical structure, layout and attribute parameters of the heat storage and release system;

[0025] The construction of the logic model of the whole process of the winery source-grid-load-storage includes: establishing a controllable closed-loop logic model based on the logical mechanism relationship between various physical entities in the physical model and the process flow of making wine steam, and mapping the physical model to the logic model;

[0026] The construction of the whole process simulation model of the winery source, grid, load and storage includes: constructing the simulation model based on the collected operation status data and physical property data of the whole process of the winery source, grid, load and storage;

[0027] Through the mutual coupling and multi-level and multi-scale integration of the physical model, logical model and simulation model of the whole process of the winery source, grid, load and storage, the physical entities in the physical space are mapped and reconstructed in the virtual space to establish a digital twin model of the whole process of the winery source, grid, load and storage;

[0028] The digital twin model is identified and corrected based on the historical measured operation data of the entire process of the winery's source, grid, load and storage: the influencing factors that cannot be quantitatively monitored in the steam heat network are identified and corrected, and the digital twin model is identified and corrected by adding remote measurement points and combining the pre-processed operation data to obtain the identified and corrected digital twin model of the entire process of the winery's source, grid, load and storage.

[0029] Further, the S2 specifically includes:

[0030] Obtain the work schedule of each team at the steam end of the winery, including the shift system, rest days, and production cycle characteristics of each team;

[0031] Obtain the operating characteristics of equipment in each link of wine making in the workshop, including the operating parameters of each equipment in the grain steaming link and wine roasting link;

[0032] Obtain the intermittent and periodic steam usage at the steam end of the winery, including the steam usage parameters for each period when heating the steam drum in the grain steaming process, the periodicity of the steam usage for grain steaming during the day, and the intermittent time between the steam usage for grain steaming during the day and the steam stop at night, as well as the steam usage parameters for each period when guiding and condensing alcohol vapor in the wine baking process, the periodicity of the steam usage for wine baking during the day, and the intermittent time between the steam usage for wine baking during the day and the steam stop at night;

[0033] The work schedule of each team at the steam-using end of the winery, the operating characteristics of the equipment in each link of the workshop winemaking, and the intermittent and periodic nature of steam use are used as the original samples of steam use behavior of each workshop and team;

[0034] Extract features related to steam usage behavior from the original samples of steam usage behavior of each workshop and team, use clustering algorithm to group data according to the similarity of steam usage patterns, identify steam usage patterns of different workshops and teams, and use machine learning algorithm to analyze the change of steam usage over time of different workshops and teams and explore the correlation between different steam usage behaviors, so as to identify steam usage behaviors of each workshop and team at the steam end;

[0035] According to the steam usage behavior of each workshop and team on the steam-using end, combined with the wine production plan of each workshop and team on that day, the prediction curve of the change of steam flow demand of each workshop on that day is calculated.

[0036] Furthermore, in S3, the electric heat storage strategy is specifically:

[0037] According to the local on-grid peak-valley electricity price mechanism or green electricity peak-valley electricity price mechanism of the winery, when the electricity price is at a low point, the hot water in the connected heat storage tank is heated by starting the electric heater to generate steam for electric heat storage;

[0038] The steam thermal storage strategy is specifically as follows:

[0039] According to the daily forecast curve of steam flow demand of each workshop, the data is input into the digital twin model of the whole process of source, grid, load and storage of the winery hour by hour. The total steam flow demand change at the steam consumption end is obtained through the steam flow change of each workshop, and the load change of the boiler cluster on the source side is inferred through the steam flow change of each workshop.

[0040] According to the changes in the total steam flow demand at the steam-using end and the load changes of the boiler cluster at the source side, when the steam consumption at the steam-using end of the brewery falls within the preset range and the load of the boiler cluster is not reduced in time, the excess steam produced by the boiler cluster is transported to the connected heat storage tank and mixed with the hot water in the heat storage tank for steam heat storage;

[0041] The heat release pipe warming strategy is specifically as follows:

[0042] When the winery boiler is started during the day and shut down at night, the steam use period for wine production process in each workshop is during the day, and the boiler cluster is started to warm up the pipes before production in the morning of the next day;

[0043] The steam stored in electric heat storage and steam heat storage is released before production every morning, and coordinated with the steam supply from the boiler cluster. The stored steam is used to heat the pipes first. The coordinated steam supply from the boiler cluster and heat storage tank accelerates the intelligent pipe heating of the winery, so that the steam-using end of the winery during the day can reach the set steam target temperature and pressure before production.

[0044] Furthermore, the heat release and pipe heating strategy can also be set as follows: at night, a small flow of steam released from the heat storage tank is used to maintain the pressure and temperature of the steam heating network, thereby eliminating the pipe heating process before production the next morning;

[0045] In addition, based on the economy of cooperative steam heating by boiler cluster and heat storage tank, the economy of small-flow steam heating, the economy of electric heat storage, and the economy of steam heat storage, the strategy with the best heating economy is selected for intelligent heating of the winery.

[0046] Further, the S4 specifically includes:

[0047] According to the steam target temperature and pressure set by the brewery's daytime steam consumption end before production, the total steam consumption parameters for heating pipes are set, and combined with the calculated steam amount stored in the electric thermal storage and the steam amount stored in the steam thermal storage, the total steam consumption parameters for heating pipes are divided to generate the target steam supply value for heating pipes of the thermal storage and release system and the target steam supply value for heating pipes of the boiler cluster;

[0048] According to the target steam supply value of the heating pipe of the heat storage and release system, and in combination with the electric heat storage strategy, steam heat storage strategy and heat release heating pipe strategy, a heating pipe control model of the heat storage and release system is established, including the electric heat storage control model, the steam heat storage control model and the heat release heating pipe control model;

[0049] According to the target steam supply value of boiler cluster pipe heating, a boiler cluster steam supply and heating control model is established.

[0050] Furthermore, the electric heat storage control model sets the heating time of the electric heater according to the electric heat storage strategy to control the electric heater;

[0051] The steam heat storage control model sets the opening and closing time and opening degree of the relevant electric regulating valves and the operating output of the boiler cluster according to the steam heat storage strategy, controls the steam of the boiler cluster to flow to the heat storage tank, and realizes steam heat storage;

[0052] The heat release and heating pipe control model is based on the target steam supply value and heat release and heating pipe strategy of the heat storage and release system, sets the opening and closing time and opening degree of the relevant electric regulating valve, controls the steam flow of the heat storage tank to the steam drum in the steam-using end workshop, and realizes steam heat release and heating pipe;

[0053] The boiler cluster steam supply and pipe heating control model is based on the boiler cluster heating target steam supply value and heat release pipe heating strategy, sets the boiler cluster start and stop time and operating output, the start and stop time and opening of the relevant electric control valve, controls the boiler cluster steam flow to the steam drum in the steam-using workshop, and realizes the boiler cluster steam supply and pipe heating.

[0054] Furthermore, in the heat release heating pipe control model and the boiler cluster steam supply heating pipe control model, segmented control is performed, firstly, the opening of the electric control valve and the operating output of the boiler cluster are fine-tuned, and the operating parameters of the steam heating network are monitored to determine whether it is in a safe state; when it is determined to be in a safe state, the opening of the electric control valve and the operating output of the boiler cluster are increased, and the operating parameters of the steam heating network are monitored again to determine whether it is in a safe state, and the cycle is executed until the heating pipe steam target parameters are met.

[0055] The beneficial effects of the present invention are:

[0056] (1) The present invention supplies steam through a boiler cluster set up at the source side of the winery, and transmits it to the steam-using end through the steam heat network. After adding a heat storage and release system at the steam-using end, a digital twin model of the whole process of the winery source network load storage is established; it can virtually map and simulate the actual whole process of winemaking in the winery from boiler to steam transmission, and then to the end steam use, laying a foundation for subsequent online simulation analysis, steam demand prediction and heating pipe control decision-making, and realizing intelligent management based on model prediction and prediction-based decision-making;

[0057] (2) The present invention uses a machine learning algorithm to identify the steam usage behavior of the steam user and predict the steam demand by considering the production arrangements of each workshop and each team at the steam user end of the winery, the differences in shift scheduling between teams, the operating characteristics of the equipment in each link of the workshop winemaking, and the intermittent and periodic nature of steam usage. It can clearly identify the steam usage behavior and steam demand of the steam drums of each workshop and each team, understand the changes in steam usage at the steam user end during the day, and facilitate subsequent heat storage according to the changes in steam usage;

[0058] (3) The present invention is based on the digital twin model of the whole process of the winery source, grid, load and storage, takes the prediction results of the steam demand of the winery and the electricity price mechanism as input parameters, sets the electric heat storage strategy and the steam heat storage strategy for the heat storage and release system of the steam-using end respectively, and combines the daytime start-up and nighttime shutdown characteristics of the winery boiler, and sets the heat release pipe heating strategy, and uses the steam generated by heat release and the steam supplied by the boiler cluster to perform intelligent pipe heating in the winery, so that the steam-using end of the winery during the day can reach the set steam target parameters before production; it can flexibly perform electric heat storage and steam heat storage according to the electricity price mechanism and the changes in steam demand, and use the stored heat to release heat in advance in the morning for pipe heating, indirectly realizing the coordinated acceleration of pipe heating by the boiler cluster and the heat storage tank, ensuring that the steam parameters for pipe heating are reached before the daytime production of the winery, saving pipe heating time and ensuring the winemaking production plan, while saving energy and ensuring the safety and economic feasibility of pipe heating;

[0059] (4) The present invention establishes a heat storage and release system heating pipe control model and a boiler cluster steam supply heating pipe control model based on the set electric heat storage strategy, steam heat storage strategy and heat release heating pipe strategy, and obtains the optimal control strategy for the winery heating pipe, including the start and stop time and operating parameters of each device and valve of the heat storage and release system, and the start and stop time and operating parameters of the boiler cluster; by regulating the electric heater, electric regulating valve and boiler cluster, it can accurately realize heat storage and heat release heating pipes, ensuring the coordination, precision and intelligence of the heating pipes;

[0060] (5) The heat storage and release system added by the present invention at the steam-using end can, on the one hand, ensure the instantaneous steam pressure stabilization of the system; on the other hand, due to the heat storage capacity, it can ensure that the temperature of the pipe network is not too low at night, thereby reducing the time and energy loss for warming up the pipes in the morning, reducing the condensation loss caused by cooling at night, and even improving the thermal environment of the meters and pipes in the heating network, thereby increasing the life of the equipment.

[0061] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0062] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0064] Figure 1 This is a flow chart of an intelligent pipe heating method for a winery combining steam-end heat storage and release and boiler steam supply according to the present invention;

[0065] Figure 2 This is a schematic diagram of the source-grid-load-storage structure of the winery of the present invention;

[0066] Figure 3 This is a schematic diagram of the steam usage behavior characteristics of different shifts in the winery workshop of the present invention. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0068] Example 1

[0069] like Figure 1 , Figure 2 As shown, this embodiment 1 provides an intelligent pipe heating method for a winery using a combination of steam end heat storage and release and boiler steam supply, which includes:

[0070] S1. Steam is supplied through a boiler cluster set up at the source side of the winery, and is transported to the steam-using end through the steam heat network. After a heat storage and release system is added to the steam-using end, a digital twin model of the whole process of the winery source, network, load and storage is established; the heat storage and release system includes a heat storage tank, an electric heater and an electric regulating valve;

[0071] S2. Considering the production arrangements of each workshop and each team at the steam-using end of the winery, the differences in shift scheduling between teams, the operating characteristics of equipment in each link of the workshop winemaking, the intermittent and periodic nature of steam use, a machine learning algorithm is used to identify steam use behavior and predict steam demand at the steam-using end;

[0072] S3. Based on the digital twin model of the whole process of the winery source, grid, load and storage, with the forecast results of the winery's steam demand and the electricity price mechanism as input parameters, the electric heat storage strategy and the steam heat storage strategy are set for the heat storage and release system at the steam end. In addition, the heat release and heating pipe strategy is set in combination with the daytime start-up and nighttime shutdown characteristics of the winery's boilers. The steam generated by heat release and the steam supplied by the boiler cluster are used for intelligent heating of the winery pipes, so that the steam end of the winery during the day can reach the set steam target parameters before production;

[0073] S4. Based on the set electric heat storage strategy, steam heat storage strategy and heat release heating pipe strategy, establish the heating pipe control model of the heat storage and release system and the steam supply heating pipe control model of the boiler cluster to obtain the optimal control strategy for the winery heating pipe, including the start and stop time and operating parameters of each equipment and valve in the heat storage and release system, and the start and stop time and operating parameters of the boiler cluster.

[0074] In this embodiment, in S1, adding a heat storage and release system at the steam-using end includes:

[0075] According to the site size and steam consumption of the steam-using end of the brewery, the site is selected near the workshop, team and steam drum of the original brewery, and a heat storage and release system is added;

[0076] Taking the optimization of economy and energy saving as the objective function, the operating constraints of the heat storage and release system are set, and a planning and design model of the heat storage and release system is established to obtain the optimal planning and design scheme of the heat storage and release system, including site selection, heat storage tank capacity and electric heater selection; the operating constraints of the heat storage and release system at least include the heat storage and release rate constraints, temperature range constraints and pressure range constraints of the heat storage tank.

[0077] In this embodiment, the number of the electric regulating valves is multiple;

[0078] The heat storage tank is connected to the electric heater;

[0079] A first electric regulating valve is provided on the pipeline connecting the boiler cluster and the steam-using end;

[0080] A second electric regulating valve is provided on the pipeline connecting the heat storage tank and the boiler cluster;

[0081] A third electric regulating valve is provided on the pipeline connecting the heat storage tank and the steam using end;

[0082] The heat storage and release system also includes a pressure transmitter and a data acquisition control center. The pressure transmitter is arranged on the steam inlet pipeline at the steam-using end and the steam outlet pipeline of the steam retort drum to obtain the steam pressure on each pipeline.

[0083] The data acquisition control center is respectively connected with the heat storage and release system and the steam-using end, and is used to obtain the steam parameters of the heat storage and release system and the steam parameters of the steam drum of the workshop team at the steam-using end.

[0084] It should be noted that if Figure 2 The figure shows the source-grid-load-storage structure diagram of the winery, where the boiler cluster is used to supply steam; the electric heater is connected to the heat storage tank; steam-using workshops and teams are equipped with steam drums, which are the main steam-using points of the winery, and the pipeline connected to the steam outlet of the steam drum is provided with a pressure transmitter to collect the steam pressure at the steam drum outlet and transmit it to the data acquisition and control center; a pressure transmitter is provided on the steam inlet pipeline at the steam-using end to obtain the inlet steam pressure; a first electric regulating valve is provided on the steam heat network pipeline between the boiler cluster and the steam-using end to control the steam flow rate of the steam supplied by the boiler flowing into the steam-using end; the steam heat network between the boiler cluster and the heat storage tank A second electric regulating valve is provided on the pipeline to control the steam flow rate of the steam supplied by the boiler flowing into the heat storage tank; a third regulating valve is provided on the steam heat network pipeline between the heat storage tank and the steam-using end to control the steam flow rate of the steam stored in the heat storage tank flowing into the steam-using end; the data acquisition and control center is used to obtain the parameters of the first electric regulating valve, the second electric regulating valve, the third electric regulating valve and each pressure transmitter. In actual applications, the steam data of the heat storage and release system and the steam-using end can be collected in real time, and combined with the boiler cluster optimization system, the data can be transmitted to the boiler cluster optimization system in real time, which is conducive to the precise regulation of the boiler output and the heat storage and release system.

[0085] In actual applications, an electric regulating valve is also provided at the steam inlet of the steam drum to adjust the steam flow entering the steam drum. Since the steam produced in the boiler room is transported to the vicinity of the workshop at about 0.5-0.6MPa, and the actual process of using steam in the steam drum is to use steam to heat the water in the pot under the steam drum, that is, the steam pressure is greater than the atmospheric pressure and the temperature is higher than 100℃. Therefore, the output pressure of the heat storage tank in this system is designed to be 0.2-0.3MPa saturated steam, and the temperature is about 130℃, which can meet the process requirements.

[0086] The newly added heat storage and release system at the steam-using end can, on the one hand, ensure the system's instantaneous steam pressure stabilization; on the other hand, due to the heat storage capacity, it can ensure that the temperature of the pipeline network is not too low at night, thereby reducing the time and energy loss for warming up the pipes in the morning, reducing the condensation loss caused by nighttime cooling, and even improving the thermal environment of the meters and pipes in the heating network, thereby increasing the life of the equipment.

[0087] In this embodiment, in S1, a digital twin model of the entire process of the winery source, grid, load and storage is established, specifically including:

[0088] Construct the physical model, logical model and simulation model of the whole process of steam supply from the brewery boiler cluster, steam transmission from the steam heating network, steam consumption at the steam user end and steam storage in the heat storage and release system;

[0089] The construction of the physical model of the whole process of the source-grid-load-storage of the winery includes: establishing a physical model according to the physical structure and attribute parameters of the boiler cluster on the source side of the winery, the pipe size and layout structure of the steam heat network, the distribution and physical structure of the workshops, teams and steam drums at the steam-using end, and the physical structure, layout and attribute parameters of the heat storage and release system;

[0090] The construction of the logic model of the whole process of the winery source-grid-load-storage includes: establishing a controllable closed-loop logic model based on the logical mechanism relationship between various physical entities in the physical model and the process flow of making wine steam, and mapping the physical model to the logic model;

[0091] The construction of the whole process simulation model of the winery source, grid, load and storage includes: constructing the simulation model based on the collected operation status data and physical property data of the whole process of the winery source, grid, load and storage;

[0092] Through the mutual coupling and multi-level and multi-scale integration of the physical model, logical model and simulation model of the whole process of the winery source, grid, load and storage, the physical entities in the physical space are mapped and reconstructed in the virtual space to establish a digital twin model of the whole process of the winery source, grid, load and storage;

[0093] The digital twin model is identified and corrected based on the historical measured operation data of the entire process of the winery's source, grid, load and storage: the influencing factors that cannot be quantitatively monitored in the steam heat network are identified and corrected, and the digital twin model is identified and corrected by adding remote measurement points and combining the pre-processed operation data to obtain the identified and corrected digital twin model of the entire process of the winery's source, grid, load and storage.

[0094] In this embodiment, S2 specifically includes:

[0095] Obtain the work schedule of each team at the steam end of the winery, including the shift system, rest days, and production cycle characteristics of each team;

[0096] Obtain the operating characteristics of equipment in each link of wine making in the workshop, including the operating parameters of each equipment in the grain steaming link and wine roasting link;

[0097] Obtain the intermittent and periodic steam usage at the steam end of the winery, including the steam usage parameters for each period when heating the steam drum in the grain steaming process, the periodicity of the steam usage for grain steaming during the day, and the intermittent time between the steam usage for grain steaming during the day and the steam stop at night, as well as the steam usage parameters for each period when guiding and condensing alcohol vapor in the wine baking process, the periodicity of the steam usage for wine baking during the day, and the intermittent time between the steam usage for wine baking during the day and the steam stop at night;

[0098] The work schedule of each team at the steam-using end of the winery, the operating characteristics of the equipment in each link of the workshop winemaking, and the intermittent and periodic nature of steam use are used as the original samples of steam use behavior of each workshop and team;

[0099] Extract features related to steam usage behavior from the original samples of steam usage behavior of each workshop and team, use clustering algorithm to group data according to the similarity of steam usage patterns, identify steam usage patterns of different workshops and teams, and use machine learning algorithm to analyze the change of steam usage over time of different workshops and teams and explore the correlation between different steam usage behaviors, so as to identify steam usage behaviors of each workshop and team at the steam end;

[0100] According to the steam usage behavior of each workshop and team on the steam-using end, combined with the wine production plan of each workshop and team on that day, the prediction curve of the change of steam flow demand of each workshop on that day is calculated.

[0101] It should be noted that in order to facilitate understanding of the winery's use of steam to make wine, the main process of the grain steaming and wine roasting stages is introduced. Of course, in actual winery winemaking applications, in addition to the grain steaming and wine roasting stages, there are other stages such as saccharification and fermentation that also require steam.

[0102] The grain steaming process is an important step in the brewing process, especially in the solid-state fermentation of liquor. The main purpose of this process is to gelatinize the starch in the grain, making it easier for yeast and enzymes to act on it, and then convert it into sugar, and finally into alcohol during the fermentation process. The following is the detailed process of the grain steaming process:

[0103] 1) Raw material preparation:

[0104] Cleaning: First, the raw materials (such as sorghum, wheat, corn and other grains) are thoroughly cleaned to remove impurities and dust;

[0105] Soaking: After washing, the grains will be soaked for a period of time to allow them to absorb water and swell, which will help with subsequent cooking and starch gelatinization;

[0106] 2) Steaming (steaming grain):

[0107] Loading the steamer: evenly place the soaked grains into the steamer barrel, with a steam inlet at the bottom and a certain amount of space above the grains to facilitate the circulation of steam;

[0108] Steam heating: Turn on the steam generator, and steam rises from the bottom of the steamer barrel, passing through the grain and heating the grain. This process requires controlling the appropriate temperature and time to ensure that the starch is fully gelatinized without overheating and causing nutrient loss or burning;

[0109] Steaming time: The steaming time depends on the type and amount of grain, usually between 1-3 hours, until the grain becomes soft and the starch begins to gelatinize;

[0110] 3) Cooling:

[0111] After cooking, the grain needs to be cooled quickly to prevent over-gelatinization and prevent the growth of harmful bacteria. Cooling can be achieved through natural ventilation, fans or other cooling equipment;

[0112] 4) Mix the koji:

[0113] The cooled grain is then mixed with koji, which contains enzymes that convert starch into sugars, as well as yeasts needed for the fermentation process. When mixing the koji, make sure that the koji is evenly distributed to promote even fermentation;

[0114] 5) Fermentation preparation:

[0115] The grain mixed with koji will be transferred to the fermentation tank or fermentation pool, ready to enter the fermentation stage.

[0116] Roasting wine is the process of extracting alcohol from fermented lees (also called fermented grains) by distillation. This process is crucial to the flavor formation of the wine, because different distillation techniques and operating details will affect the aroma and taste of the final product. The specific process of roasting wine is as follows:

[0117] 1) Installing the steamer:

[0118] Put the fermented mash into the steamer barrel to ensure that the mash is evenly distributed to facilitate the uniform penetration of steam;

[0119] 2) Heating:

[0120] The steam is used to heat the steamer, which rises from the bottom of the steamer, passes through the fermented grains, and evaporates the alcohol and other volatile components in it;

[0121] 3) Condensation:

[0122] The alcohol vapor rises to the top of the retort and then enters the condenser, where it is cooled into a liquid state. This is the first distilled liquor. The condenser is usually cooled with water to speed up the condensation process of the alcohol vapor.

[0123] 4) Collection and classification:

[0124] The first distilled liquor is graded according to different outflow times and alcohol concentrations, usually into head liquor (high concentration), main liquor (moderate concentration) and tail liquor (low concentration). Different parts of the liquor have different flavors and alcohol content, and can be blended as needed;

[0125] 5) Re-baking:

[0126] In some cases, in order to further improve the quality of the wine, the first distilled wine will be distilled twice, that is, double-roasted, to remove impurities, concentrate the aroma, and improve the purity of the wine;

[0127] During the wine roasting process, the temperature, pressure and distillation speed of the steam will affect the quality of the wine, so they need to be strictly controlled.

[0128] In actual applications, except for individual cases in team production, the basic production rounds have typical cyclical characteristics, and the production rhythm can be matched with the team members from the perspective of data changes and characteristics. The production rhythm of each specific team member can be extracted through data analysis and big data methods, such as the average duration of a round, the preparation time between two rounds, the flow difference between peak and valley steam consumption, etc.

[0129] like Figure 3 The figure shows the steam usage characteristics of different work groups in the winery workshop. It can be seen that the steam usage behavior of different work groups has its own periodicity, and the steam usage of different work groups is also different. It is defined by behavioral labels such as the average time required to produce a steamer, the average steam usage, and the peak-to-valley flow difference of steam usage, and is stored in the production steam usage characteristics database.

[0130] In this embodiment, in S3, the electric heat storage strategy is specifically:

[0131] According to the local on-grid peak-valley electricity price mechanism or green electricity peak-valley electricity price mechanism of the winery, when the electricity price is at a low point, the hot water in the connected heat storage tank is heated by starting the electric heater to generate steam for electric heat storage;

[0132] The steam thermal storage strategy is specifically as follows:

[0133] According to the daily forecast curve of steam flow demand of each workshop, the data is input into the digital twin model of the whole process of source, grid, load and storage of the winery hour by hour. The total steam flow demand change at the steam consumption end is obtained through the steam flow change of each workshop, and the load change of the boiler cluster on the source side is inferred through the steam flow change of each workshop.

[0134] According to the changes in the total steam flow demand at the steam-using end and the load changes of the boiler cluster at the source side, when the steam consumption at the steam-using end of the brewery falls within the preset range and the load of the boiler cluster is not reduced in time, the excess steam produced by the boiler cluster is transported to the connected heat storage tank and mixed with the hot water in the heat storage tank for steam heat storage;

[0135] The heat release pipe warming strategy is specifically as follows:

[0136] When the winery boiler is started during the day and shut down at night, the steam use period for wine production process in each workshop is during the day, and the boiler cluster is started to warm up the pipes before production in the morning of the next day;

[0137] The steam stored in electric heat storage and steam heat storage is released before production every morning, and coordinated with the steam supply from the boiler cluster. The stored steam is used to heat the pipes first. The coordinated steam supply from the boiler cluster and heat storage tank accelerates the intelligent pipe heating of the winery, so that the steam-using end of the winery during the day can reach the set steam target temperature and pressure before production.

[0138] It should be noted that after electric thermal storage converts low-cost electricity into thermal energy for storage, it can also be used during peak steam consumption, which helps to reduce steam costs and meet peak shaving requirements; steam thermal storage provides time and space for boiler cluster load reduction and meets valley filling requirements at the same time.

[0139] Due to the working schedule of the winery, steam for production process is only used during the day. At present, the boiler starts and stops every day, starting in the morning and stopping at night. Therefore, it takes about 40 minutes to warm up the pipes before production in the morning, which increases the labor time and also causes a large loss of drainage. Therefore, the steam generated by the heat storage tank can be used for the warming process before starting every morning. In coordination with the steam supply of the boiler cluster, the source-side boiler cluster and the heat storage tank supply steam at the same time to accelerate the warming of the pipes.

[0140] In this embodiment, the heat release pipe heating strategy can also be set as follows: at night, a small flow of steam released from the heat storage tank is used to maintain the pressure and temperature of the steam heating network, thereby omitting the pipe heating process before production the next morning;

[0141] In addition, based on the economy of cooperative steam heating by boiler cluster and heat storage tank, the economy of small-flow steam heating, the economy of electric heat storage, and the economy of steam heat storage, the strategy with the best heating economy is selected for intelligent heating of the winery.

[0142] In actual applications, the economic feasibility of using heat storage tanks for small-flow steam supply at night can be calculated when valley electricity, low-priced electricity or other waste heat resources can be utilized later. The small-flow steam supply at night can be used to maintain the pressure and temperature of the pipeline network to avoid the pipe heating process in the morning.

[0143] In this embodiment, S4 specifically includes:

[0144] According to the steam target temperature and pressure set by the brewery's daytime steam consumption end before production, the total steam consumption parameters for heating pipes are set, and combined with the calculated steam amount stored in the electric thermal storage and the steam amount stored in the steam thermal storage, the total steam consumption parameters for heating pipes are divided to generate the target steam supply value for heating pipes of the thermal storage and release system and the target steam supply value for heating pipes of the boiler cluster;

[0145] According to the target steam supply value of the heating pipe of the heat storage and release system, and in combination with the electric heat storage strategy, steam heat storage strategy and heat release heating pipe strategy, a heating pipe control model of the heat storage and release system is established, including the electric heat storage control model, the steam heat storage control model and the heat release heating pipe control model;

[0146] According to the target steam supply value of boiler cluster pipe heating, a boiler cluster steam supply and heating control model is established.

[0147] In this embodiment, the electric heat storage control model sets the heating time of the electric heater according to the electric heat storage strategy to control the electric heater;

[0148] The steam heat storage control model sets the opening and closing time and opening degree of the relevant electric regulating valves and the operating output of the boiler cluster according to the steam heat storage strategy, controls the steam of the boiler cluster to flow to the heat storage tank, and realizes steam heat storage;

[0149] The heat release and heating pipe control model is based on the target steam supply value and heat release and heating pipe strategy of the heat storage and release system, sets the opening and closing time and opening degree of the relevant electric regulating valve, controls the steam flow of the heat storage tank to the steam drum in the steam-using end workshop, and realizes steam heat release and heating pipe;

[0150] The boiler cluster steam supply and pipe heating control model is based on the boiler cluster heating target steam supply value and heat release pipe heating strategy, sets the boiler cluster start and stop time and operating output, the start and stop time and opening of the relevant electric control valve, controls the boiler cluster steam flow to the steam drum in the steam-using workshop, and realizes the boiler cluster steam supply and pipe heating.

[0151] In this embodiment, segmented control is performed in the heat release heating pipe control model and the boiler cluster steam supply heating pipe control model. First, the opening of the electric control valve and the operating output of the boiler cluster are fine-tuned, and the operating parameters of the steam heating network are monitored to determine whether they are in a safe state; when it is determined to be a safe state, the opening of the electric control valve and the operating output of the boiler cluster are increased, and the operating parameters of the steam heating network are monitored again to determine whether it is in a safe state, and the cycle is executed until the heating pipe steam target parameters are met.

[0152] It should be noted that during the pipe heating process in the winery, steam supply needs to be carried out step by step, because too fast steam supply will cause safety risks in the steam heating network, and too slow steam supply will cause the pipe heating time to be too long. Therefore, it is necessary to reasonably set the amount of steam supply in each section to ensure the appropriate pipe heating speed and improve the safety and economy of the winery's pipe heating.

[0153] In several embodiments provided in the present application, it should be understood that the disclosed system and method can also be implemented in other ways. The system embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and a part of the module, program segment or code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0154] In addition, the functional modules in each embodiment of the present invention can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part. If the function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), disk or optical disk and other media that can store program codes.

[0155] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. An intelligent pipe heating method for a winery combining heat storage and release at the steam end and steam supply from a boiler, characterized in that: It includes: S1. Steam is supplied through a boiler cluster set up at the source side of the winery, and is transported to the steam-using end through the steam heat network. After a heat storage and release system is added to the steam-using end, a digital twin model of the whole process of the winery source, network, load and storage is established; the heat storage and release system includes a heat storage tank, an electric heater and an electric regulating valve; S2. Considering the production arrangements of each workshop and each team at the steam-using end of the winery, the differences in shift scheduling between teams, the operating characteristics of equipment in each link of the workshop winemaking, the intermittent and periodic nature of steam use, a machine learning algorithm is used to identify steam use behavior and predict steam demand at the steam-using end; S3. Based on the digital twin model of the whole process of the winery source, grid, load and storage, with the winery steam demand forecast results and electricity price mechanism as input parameters, the electric heat storage strategy and steam heat storage strategy are set for the steam-using end heat storage and release system respectively. In addition, combined with the characteristics of the winery boiler starting up during the day and stopping at night, a heat release pipe heating strategy is set. The steam generated by heat release and the steam supplied by the boiler cluster are used for intelligent pipe heating in the winery, so that the steam-using end of the winery during the day can reach the set steam target parameters before production. S4. Based on the set electric heat storage strategy, steam heat storage strategy and heat release heating pipe strategy, establish the heating pipe control model of the heat storage and release system and the steam supply heating pipe control model of the boiler cluster to obtain the optimal control strategy for the winery heating pipe, including the start and stop time and operating parameters of each equipment and valve in the heat storage and release system, and the start and stop time and operating parameters of the boiler cluster.

2. The intelligent pipe heating method for a winery according to claim 1 is characterized in that: In S1, the heat storage and release system is added at the steam-using end, including: According to the site size and steam consumption of the steam-using end of the brewery, the site is selected near the workshop, team and steam drum of the original brewery, and a heat storage and release system is added; Taking the optimization of economy and energy saving as the objective function, the operating constraints of the heat storage and release system are set, and a planning and design model of the heat storage and release system is established to obtain the optimal planning and design scheme of the heat storage and release system, including site selection, heat storage tank capacity and electric heater selection; the operating constraints of the heat storage and release system at least include the heat storage and release rate constraints, temperature range constraints and pressure range constraints of the heat storage tank.

3. The intelligent pipe heating method for a winery according to claim 1 is characterized in that: The number of the electric regulating valves is multiple; The heat storage tank is connected to the electric heater; A first electric regulating valve is provided on the pipeline connecting the boiler cluster and the steam-using end; A second electric regulating valve is provided on the pipeline connecting the heat storage tank and the boiler cluster; A third electric regulating valve is provided on the pipeline connecting the heat storage tank and the steam using end; The heat storage and release system also includes a pressure transmitter and a data acquisition control center. The pressure transmitter is arranged on the steam inlet pipeline at the steam-using end and the steam outlet pipeline of the steam retort drum to obtain the steam pressure on each pipeline. The data acquisition control center is respectively connected with the heat storage and release system and the steam-using end, and is used to obtain the steam parameters of the heat storage and release system and the steam parameters of the steam drum of the workshop team at the steam-using end.

4. The intelligent pipe heating method for a winery according to claim 1 is characterized in that: In S1, a digital twin model of the entire process of the winery source, grid, load and storage is established, including: Construct the physical model, logical model and simulation model of the whole process of steam supply from the brewery boiler cluster, steam transmission from the steam heating network, steam consumption at the steam user end and steam storage in the heat storage and release system; The construction of the physical model of the whole process of the source-grid-load-storage of the winery includes: establishing a physical model according to the physical structure and attribute parameters of the boiler cluster on the source side of the winery, the pipe size and layout structure of the steam heat network, the distribution and physical structure of the workshops, teams and steam drums at the steam-using end, and the physical structure, layout and attribute parameters of the heat storage and release system; The construction of the logic model of the whole process of the winery source-grid-load-storage includes: establishing a controllable closed-loop logic model based on the logical mechanism relationship between various physical entities in the physical model and the process flow of making wine steam, and mapping the physical model to the logic model; The construction of the whole process simulation model of the winery source, grid, load and storage includes: constructing the simulation model based on the collected operation status data and physical property data of the whole process of the winery source, grid, load and storage; Through the mutual coupling and multi-level and multi-scale integration of the physical model, logical model and simulation model of the whole process of the winery source, grid, load and storage, the physical entities in the physical space are mapped and reconstructed in the virtual space to establish a digital twin model of the whole process of the winery source, grid, load and storage; The digital twin model is identified and corrected based on the historical measured operation data of the entire process of the winery's source, grid, load and storage: the influencing factors that cannot be quantitatively monitored in the steam heat network are identified and corrected, and the digital twin model is identified and corrected by adding remote measurement points and combining the pre-processed operation data to obtain the identified and corrected digital twin model of the entire process of the winery's source, grid, load and storage.

5. The intelligent pipe heating method for a winery according to claim 1 is characterized in that: The S2 specifically includes: Obtain the work schedule of each team at the steam end of the winery, including the shift system, rest days, and production cycle characteristics of each team; Obtain the operating characteristics of equipment in each link of wine making in the workshop, including the operating parameters of each equipment in the grain steaming link and wine roasting link; Obtain the intermittent and periodic steam usage at the steam end of the winery, including the steam usage parameters for each period when heating the steam drum in the grain steaming process, the periodicity of the steam usage for grain steaming during the day, and the intermittent time between the steam usage for grain steaming during the day and the steam stop at night, as well as the steam usage parameters for each period when guiding and condensing alcohol vapor in the wine baking process, the periodicity of the steam usage for wine baking during the day, and the intermittent time between the steam usage for wine baking during the day and the steam stop at night; The work schedule of each team at the steam-using end of the winery, the operating characteristics of the equipment in each link of the workshop winemaking, and the intermittent and periodic nature of steam use are used as the original samples of steam use behavior of each workshop and team; Extract features related to steam usage behavior from the original samples of steam usage behavior of each workshop and team, use clustering algorithm to group data according to the similarity of steam usage patterns, identify steam usage patterns of different workshops and teams, and use machine learning algorithm to analyze the change of steam usage over time of different workshops and teams and explore the correlation between different steam usage behaviors, so as to identify steam usage behaviors of each workshop and team at the steam end; According to the steam usage behavior of each workshop and team on the steam-using end, combined with the wine production plan of each workshop and team on that day, the prediction curve of the change of steam flow demand of each workshop on that day is calculated.

6. The intelligent pipe heating method for a winery according to claim 1 is characterized in that: In S3, the electric heat storage strategy is specifically: According to the local on-grid peak-valley electricity price mechanism or green electricity peak-valley electricity price mechanism of the winery, when the electricity price is at a low point, the hot water in the connected heat storage tank is heated by starting the electric heater to generate steam for electric heat storage; The steam thermal storage strategy is specifically as follows: According to the daily forecast curve of steam flow demand of each workshop, the data is input into the digital twin model of the whole process of source, grid, load and storage of the winery hour by hour. The total steam flow demand change at the steam consumption end is obtained through the steam flow change of each workshop, and the load change of the boiler cluster on the source side is inferred through the steam flow change of each workshop. According to the changes in the total steam flow demand at the steam-using end and the load changes of the boiler cluster at the source side, when the steam consumption at the steam-using end of the brewery falls within the preset range and the load of the boiler cluster is not reduced in time, the excess steam produced by the boiler cluster is transported to the connected heat storage tank and mixed with the hot water in the heat storage tank for steam heat storage; The heat release pipe warming strategy is specifically as follows: When the winery boiler is started during the day and shut down at night, the steam use period for wine production process in each workshop is during the day, and the boiler cluster is started to warm up the pipes before production in the morning of the next day; The steam stored in electric heat storage and steam heat storage is released before production every morning, and coordinated with the steam supply from the boiler cluster. The stored steam is used to heat the pipes first. The coordinated steam supply from the boiler cluster and heat storage tank accelerates the intelligent pipe heating of the winery, so that the steam-using end of the winery during the day can reach the set steam target temperature and pressure before production.

7. The intelligent pipe heating method for a winery according to claim 6 is characterized in that: The heat release pipe heating strategy can also be set to: use the small flow steam released by the heat storage tank at night to maintain the pressure and temperature of the steam heating network, and omit the pipe heating process before production the next morning; In addition, based on the economy of cooperative steam heating by boiler cluster and heat storage tank, the economy of small-flow steam heating, the economy of electric heat storage, and the economy of steam heat storage, the strategy with the best heating economy is selected for intelligent heating of the winery.

8. The intelligent pipe heating method for a winery according to claim 1 is characterized in that: The S4 specifically includes: According to the steam target temperature and pressure set by the brewery's daytime steam consumption end before production, the total steam consumption parameters for heating pipes are set, and combined with the calculated steam amount stored in the electric thermal storage and the steam amount stored in the steam thermal storage, the total steam consumption parameters for heating pipes are divided to generate the target steam supply value for heating pipes of the thermal storage and release system and the target steam supply value for heating pipes of the boiler cluster; According to the target steam supply value of the heating pipe of the heat storage and release system, and in combination with the electric heat storage strategy, steam heat storage strategy and heat release heating pipe strategy, a heating pipe control model of the heat storage and release system is established, including the electric heat storage control model, the steam heat storage control model and the heat release heating pipe control model; According to the target steam supply value of boiler cluster pipe heating, a boiler cluster steam supply and heating control model is established.

9. The intelligent pipe heating method for a winery according to claim 8, characterized in that: The electric heat storage control model sets the heating time of the electric heater according to the electric heat storage strategy to control the electric heater; The steam heat storage control model sets the opening and closing time and opening degree of the relevant electric regulating valves and the operating output of the boiler cluster according to the steam heat storage strategy, controls the steam of the boiler cluster to flow to the heat storage tank, and realizes steam heat storage; The heat release and heating pipe control model is based on the target steam supply value and heat release and heating pipe strategy of the heat storage and release system, sets the opening and closing time and opening degree of the relevant electric regulating valve, controls the steam flow of the heat storage tank to the steam drum in the steam-using end workshop, and realizes steam heat release and heating pipe; The boiler cluster steam supply and pipe heating control model is based on the boiler cluster heating target steam supply value and heat release pipe heating strategy, sets the boiler cluster start and stop time and operating output, the start and stop time and opening of the relevant electric control valve, controls the boiler cluster steam flow to the steam drum in the steam-using workshop, and realizes the boiler cluster steam supply and pipe heating.

10. The intelligent pipe heating method for a winery according to claim 9, characterized in that: In the heat release heating pipe control model and the boiler cluster steam supply heating pipe control model, segmented control is performed to first fine-tune the opening of the electric control valve and the operating output of the boiler cluster, monitor the operating parameters of the steam heating network, and determine whether it is in a safe state; When it is judged to be in a safe state, the opening of the electric control valve and the operating output of the boiler cluster are increased, and the operating parameters of the steam heating network are monitored again to determine whether it is in a safe state. The cycle is executed until the target parameters of the warm-up pipe steam are met.

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