Control system and control method for heat tracing band of sulfur hexafluoride circuit breaker in severe cold area

Abstract

The invention discloses a control system and a control method for a sulfur hexafluoride circuit breaker heat tracing band in a severe cold area. Physical layer equipment comprises a sulfur hexafluoride circuit breaker, a heat tracing band and a sensor; the data acquisition layer is connected with the physical layer, and the data acquisition layer is used for acquiring data of a sulfur hexafluoride circuit breaker and a heat tracing band in real time; the model building module is used for building a virtual model of the circuit breaker and the heat tracing band by using circuit breaker and heat tracing band data; the intelligent control layer is in two-way communication with the digital twinborn model layer and is used for predicting the state of physical layer equipment in future preset time through a machine learning algorithm based on a virtual model of the digital twinborn model layer in combination with data of a circuit breaker and a heat tracing band to obtain a prediction result; generating a start-stop control instruction of the heat tracing band according to the prediction result and a preset safety threshold value; and the man-machine interaction and remote monitoring layer is respectively connected with the intelligent control layer and the physical layer, and is used for displaying the state of the circuit breaker, the operation parameters of the heat tracing band and the prediction result in real time, and supporting fault alarm and remote control based on a control instruction.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of circuit breaker heating band control, and particularly relates to a circuit breaker heating band control system and control method for sulfur hexafluoride circuit breaker in severe cold regions. BACKGROUND

[0002] As a key equipment, high-voltage circuit breaker ensures the safe operation of power grid in emergency. Sulfur hexafluoride circuit breaker is widely used in high-voltage systems due to its excellent arc extinguishing performance. However, in severe cold regions, low temperature easily leads to liquefaction of sulfur hexafluoride gas, affecting the arc extinguishing and insulation performance. The traditional heating band control method relies on a single temperature threshold, and cannot realize intelligent prediction and fault warning.

[0003] At present, the control method of circuit breaker heating band is to set a reference temperature for the temperature controller. When the ambient temperature is lower than the reference temperature, the heating band is put into operation. When the ambient temperature is higher than the reference temperature, the heating band is turned off, so as to ensure that the temperature of sulfur hexafluoride gas in the circuit breaker is higher than the liquefaction temperature.

[0004] The existing control scheme still has the following shortcomings: only one reference temperature can be set by the temperature controller. When the ambient temperature is lower than the set reference temperature, the heating band will be started all the time. Long-time operation of the heating band may cause the heating band to be burned due to high surface temperature. The current controller can only control the single input and output of the heating band, and cannot be used in rotation, which may greatly reduce the service life of the heating band. After the heating band is used for 2-3 years, the heating band may fail, affecting the safe operation of the product. The current control method of the heating band is relatively simple. When the heating power of the heating band decreases or fails, the problem cannot be found in time and needs to be found by the operator through inspection. If the heating power is not enough, there is no standby heating band to ensure the safe operation of the product. In addition to the above-mentioned shortcomings, the existing control method lacks the ability to predict the future state of the equipment and cannot identify potential fault risks in advance. At the same time, the local control mode limits the remote operation and management ability, and it is difficult to meet the demand of modern power grid for comprehensive perception and intelligent decision of equipment state.

[0005] Moreover, the current system does not have the ability of virtual mapping and simulation of equipment operating state, predictive maintenance based on historical data and real-time data, remote visual monitoring and intelligent decision support. The equipment failure needs to rely on on-site troubleshooting, which prolongs the downtime, and unplanned downtime leads to production interruption. When there is no remote visual monitoring, off-site experts cannot check the equipment state in real time and need on-site support, which delays problem solving. Without data-driven predictive maintenance, the enterprise needs to reserve a large number of spare parts to deal with sudden failures, which increases inventory costs. Without intelligent decision support, operators may make mistakes due to negligence, leading to safety accidents. SUMMARY

[0006] The application aims to overcome the problem of insufficient safety of the heating band of the SF6 circuit breaker in the cold region, and provides a SF6 circuit breaker heating band control system and method in the cold region.

[0007] To achieve the above-mentioned purpose, the application adopts the following technical solutions: In the first aspect, the application provides a SF6 circuit breaker heating band control system in the cold region, which comprises a human-computer interaction and remote monitoring layer, an intelligent control layer, a digital twin layer, a data acquisition layer and a physical layer. The physical layer comprises physical layer devices, including a SF6 circuit breaker, a heating band and a sensor. The data acquisition layer is connected with the physical layer, and is used for real-time acquisition of SF6 circuit breaker and heating band data. The digital twin layer is used for constructing a virtual model of the circuit breaker and the heating band by using the circuit breaker and the heating band data. The intelligent control layer is in bidirectional communication with the digital twin model layer, and is used for predicting the state of the physical layer device in a preset future time by machine learning algorithm based on the virtual model of the digital twin model layer and in combination with the circuit breaker and the heating band data, to obtain a prediction result; and generating a start-stop control instruction of the heating band according to the prediction result and a preset safety threshold. The human-computer interaction and remote monitoring layer is connected with the intelligent control layer and the physical layer respectively, and is used for real-time display of the circuit breaker state, the heating band operating parameter and the prediction result, and supports fault alarm and remote control based on the control instruction.

[0008] Further, the sensor comprises a temperature sensor, a gas density relay and a current sensor, the heating band is laid along the shell of the high-voltage SF6 circuit breaker, the current sensor is connected with the heating band, the temperature sensor is connected with the high-voltage SF6 circuit breaker, and the gas density relay is connected with the high-voltage SF6 circuit breaker.

[0009] Further, the data acquisition layer is used for real-time acquisition of the environmental temperature and the circuit breaker surface temperature output by the temperature sensor, the SF6 gas density data output by the gas density relay, and the heating band current data output by the current sensor.

[0010] Further, the virtual model of the circuit breaker and the heating band comprises a physical model, a behavior model and a data model. The physical model is a three-dimensional geometric model of the circuit breaker and the heating band. The behavior model simulates the heating efficiency of the heating band and the temperature field distribution of the circuit breaker based on the heat transfer principle, and simulates the variation characteristics of the SF6 gas density with temperature in combination with the gas state equation. The data model integrates the real-time data and the historical operation data collected by the data acquisition layer, and constructs a space-time database for dynamic updating of the model. The prediction result includes an ambient temperature change trend, a circuit breaker temperature change trend, and a heating tape aging state.

[0011] Further, according to the prediction result and a preset safety threshold, a start-stop control instruction of the heating tape is generated, including the following steps: The digital twin model predicts a liquefaction risk of a gas inside the circuit breaker according to real-time data and historical data, and determines whether the circuit breaker needs to be powered by the heating tape; The digital twin model predicts that the circuit breaker needs to be powered by the heating tape, and controls the heating tape to be powered on; During the process of powering on the heating tape, data is continuously collected and the state of the digital twin model is updated; If the model predicts that the risk is removed, the heating tape is controlled to be powered off.

[0012] Further, the condition for the digital twin model to predict that the circuit breaker needs to be powered by the heating tape is that the ambient temperature is less than a preset temperature threshold of the circuit breaker, the density relay pressure is less than a pressure extreme threshold of the density relay, and the surface temperature of the heating tape is less than a temperature extreme of the heating tape. The condition for the risk to be removed is that the ambient temperature is greater than the preset temperature threshold of the circuit breaker, the density relay pressure is greater than the pressure extreme threshold of the density relay, or the surface temperature of the heating tape is greater than the temperature extreme of the heating tape.

[0013] The human-computer interaction and remote monitoring layer includes a local display interface and a remote monitoring background.

[0014] Further, the digital twin model monitors the working time and working current of each heating tape in real time, evaluates the health state of each heating tape, and if the model determines that the working time of a certain heating tape is over the limit or the current is abnormal, a switching logic is triggered to control the heating tape to switch, and a switching signal is sent to the local display interface and the remote monitoring background.

[0015] Further, the digital twin model analyzes the working current of the heating tape in real time, determines the state of the heating tape, and visually displays the result on the human-computer interaction interface and the remote background.

[0016] In a second aspect, the application provides a control method for a heating tape of a sulfur hexafluoride circuit breaker in a cold region, which uses a control system for the heating tape of the sulfur hexafluoride circuit breaker in the cold region, including the following steps: Real-time operation data of the sulfur hexafluoride circuit breaker and the heating tape are collected; A digital twin virtual model of the sulfur hexafluoride circuit breaker and the heating tape is constructed based on the operation data; Using the digital twin virtual model, a machine learning algorithm is used to predict the operation state of the sulfur hexafluoride circuit breaker and the heating tape within a preset time in the future, and a prediction result is obtained; The prediction result is compared with a preset safety threshold, and a start-stop control instruction of the heating tape is generated; Real-time display of sulfur hexafluoride circuit breaker state, heat tracing band operation parameters and prediction results, and according to the control instruction, the heat tracing band start-stop control or fault alarm is executed.

[0017] Compared with the prior art, the application has the following beneficial technical effects: The sulfur hexafluoride circuit breaker heat tracing band control system in the cold region proposed by the application, on the basis of the original control method, combines digital twin technology, constructs a virtual model of the circuit breaker and the heat tracing band system, and drives the digital twin model to make state prediction and control decision through real-time acquisition of the circuit breaker and the heat tracing band parameters. The system can automatically adjust the input strategy of the heat tracing band according to the model prediction result, and realize the visualization and intelligent management of the heat tracing band operation state through the man-machine interface and the remote monitoring background, effectively prevent the gas liquefaction, improve the operation safety of the circuit breaker, and reduce the operation and maintenance cost; by introducing the digital twin technology, a virtual mapping model of the high-voltage sulfur hexafluoride circuit breaker and its heat tracing band system is constructed, combined with real-time data acquisition and intelligent algorithm, the precise prediction and control of the heat tracing band input and output are realized. This method not only can prevent the low-temperature liquefaction of the gas in the high-voltage sulfur hexafluoride circuit breaker, guarantee the arc chamber gas pressure and arc extinguishing performance, but also can realize remote monitoring, fault prediction, state evaluation and man-machine interaction through the digital twin platform, thereby greatly improving the operation safety, reliability and operation efficiency of the power grid. BRIEF DESCRIPTION OF DRAWINGS

[0018] The drawings described herein are for illustrative purposes only and are not intended to limit the scope of the present disclosure in any way. In addition, the shapes and scale dimensions of the components in the drawings are only illustrative and are used to help understand the present application, and are not specific limitations on the shapes and scale dimensions of the components. In the drawings: Figure 1 It is a structural diagram of a sulfur hexafluoride circuit breaker heat tracing band control system in a cold region.

[0019] Figure 2 It is a control input process of the heat tracing band.

[0020] Figure 3 It is a switching process of the heat tracing band.

[0021] Figure 4 It is a state monitoring of the heat tracing band.

[0022] Figure 5 It is a function extension of digital twin. DETAILED DESCRIPTION

[0023] In order to make the person skilled in the art better understand the technical scheme of the present application, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should fall within the scope of protection of the present application.

[0024] It should be noted that when an element is referred to as being "on" another element, it can be directly on the other element or intervening elements can also be present. Where an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements can also be present. As used herein the terms "vertical", "horizontal", "left", "right" and similar terms are used for explanation only and are not intended to limit the embodiments of the present application.

[0025] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0026] It should be noted that the terms "first", "second", and the like, used in the description and the claims of the present application as well as above-described drawings, are used to distinguish similar objects and are not necessarily to describe a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in other sequences than described or illustrated herein. Furthermore, the terms "comprise", "comprising", "include", "including", and "has", "having" and variants thereof are intended to cover a non-exclusive inclusion, such that a process, method, system, product, or apparatus that comprises, includes, or has a list of steps or units can not necessarily disclose all of those steps or units, but can include additional steps or units not expressly listed or inherent to such process, method, product, or apparatus.

[0027] Related term explanation: Digital twin: refers to a dynamic virtual model of a physical entity (such as a device or system) built in virtual space through digital means, which can reflect the state, behavior and performance of the physical entity in real time, and support predictive analysis, simulation and optimal control.

[0028] Virtual model: in a digital twin system, a digital expression used to simulate the running state, behavior and performance of a physical device, usually including a geometric model, a physical model, a behavior model and a data model.

[0029] Circuit breaker: a mechanical switching device assembly that can close, carry, and open the current under normal circuit conditions; carry a specified overcurrent for a specified time and can close and open the current under abnormal circuit conditions (such as various short circuit conditions).

[0030] Heat tracing band: maintain the most reasonable process temperature of the medium by supplementing the heat lost by the heat tracing body in the process with electric heating energy.

[0031] Liquefaction: the process of changing a substance from a gaseous state to a liquid state.

[0032] Insulating medium: a solid, liquid or gas insulating part inside the equipment that is not affected by the atmosphere and other external conditions, used for electrical isolation between high and low potentials.

[0033] Sulfur hexafluoride gas density relay: a gas pressure gauge with electrical accessories and with the function of indicating and controlling the on-off of electrical signals.

[0034] Rated pressure: the pressure of sulfur hexafluoride gas filled into the gas chamber of the equipment under standard atmospheric pressure conditions before the equipment is put into operation or when the gas is replenished.

[0035] Alarm pressure: the pressure at which the alarm signal is required when the pressure of sulfur hexafluoride gas in the gas chamber of the equipment drops to a certain set value.

[0036] Locking pressure: the pressure at which the locking signal is required when the pressure of sulfur hexafluoride gas in the gas chamber of the equipment drops to a certain set value.

[0037] Example 1 See Figure 1 A sulfur hexafluoride circuit breaker heat tracing band control system in cold regions includes a human-computer interaction and remote monitoring layer, an intelligent control layer, a digital twin layer, a data acquisition layer, and a physical layer. The physical layer includes physical layer devices, including sulfur hexafluoride circuit breakers, heat tracing bands, and sensors. The data acquisition layer is connected to the physical layer, and is used to collect sulfur hexafluoride circuit breaker and heat tracing band data in real time. The digital twin layer is used to construct a virtual model of the circuit breaker and the heat tracing band using the circuit breaker and heat tracing band data. The intelligent control layer communicates with the digital twin model layer in both directions, and is used to predict the state of the physical layer devices in a future preset time based on the virtual model of the digital twin model layer, combined with the circuit breaker and heat tracing band data, through a machine learning algorithm to obtain a prediction result; according to the prediction result and a preset safety threshold, a start-stop control instruction for the heat tracing band is generated. The human-computer interaction and remote monitoring layer are connected with the intelligent control layer and the physical layer respectively, and are used for real-time display of the circuit breaker state, the heat tracing band operation parameter and the prediction result, and support fault alarm and remote control based on the control instruction.

[0038] The sensor comprises a temperature sensor, a gas density relay and a current sensor, the heat tracing band is laid along the shell of the high-voltage sulfur hexafluoride circuit breaker, the current sensor is connected with the heat tracing band, the temperature sensor is connected with the high-voltage sulfur hexafluoride circuit breaker, and the gas density relay is connected with the high-voltage sulfur hexafluoride circuit breaker.

[0039] The data acquisition layer is used for real-time acquisition of the ambient temperature and the circuit breaker surface temperature output by the temperature sensor, the sulfur hexafluoride gas density data output by the gas density relay and the heat tracing band current data output by the current sensor.

[0040] The physical layer of the embodiment is connected with a power circuit (heat tracing band heating control) and a signal circuit (sensor data acquisition) in a double-path mode, realizes physical action of the heat tracing band on the circuit breaker and information interaction of the sensor and the data acquisition layer, provides real-time and accurate physical entity state data for the digital twin model, and receives the instruction of the intelligent control layer to complete closed-loop regulation. The connection design needs to consider safety, reliability and environmental adaptability to ensure long-term stable operation in cold regions.

[0041] The virtual model of the circuit breaker and the heat tracing band comprises a physical model, a behavior model and a data model; the physical model is a three-dimensional geometric model of the circuit breaker and the heat tracing band; the behavior model simulates the heating efficiency of the heat tracing band and the temperature field distribution of the circuit breaker based on the heat transfer principle, and simulates the variation characteristics of the sulfur hexafluoride gas density with temperature in combination with the gas state equation; the data model integrates real-time data and historical operation data collected by the data acquisition layer, and constructs a space-time database for dynamic updating of the model; the prediction result comprises an ambient temperature variation trend, a circuit breaker temperature variation trend and a heat tracing band aging state.

[0042] According to the prediction result and a preset safety threshold, a start-stop control instruction of the heat tracing band is generated, comprising the following steps: the digital twin model predicts a risk of liquefaction of internal gas of the circuit breaker according to real-time data and historical data, and judges whether the circuit breaker needs to be put into the heat tracing band; if the digital twin model predicts that the circuit breaker needs to be put into the heat tracing band, the heat tracing band is powered on; in the process of powering on the heat tracing band, data is continuously collected and the state of the digital twin model is updated; and if the model predicts that the risk is removed, the heat tracing band is powered off.

[0043] The condition for the digital twin model to predict that the circuit breaker needs to be put into the heat tracing band is that the ambient temperature < the preset temperature threshold of the circuit breaker, the density relay pressure < the density relay pressure extreme threshold, and the heat tracing band surface temperature < the heat tracing band temperature extreme; the condition for risk resolution is that the ambient temperature > the preset temperature threshold of the circuit breaker, or the density relay pressure > the density relay pressure extreme threshold, or the heat tracing band surface temperature > the heat tracing band temperature extreme.

[0044] The embodiment realizes real-time comparison of monitoring data and thresholds by the digital twin model, dynamically controls the heat tracing band, guarantees stable operation of the circuit breaker in a cold environment, and avoids overheating risk.

[0045] The human-computer interaction and remote monitoring layer includes a local display interface and a remote monitoring background. The digital twin model monitors working time and working current of each heat tracing band in real time, evaluates the health status of each heat tracing band, triggers switching logic to control heat tracing band switching if the model judges that the working time of a heat tracing band is out of limit or the current is abnormal, and sends the switching signal to the local display interface and the remote monitoring background. The digital twin model analyzes the working current of the heat tracing band in real time, judges the state of the heat tracing band, and visualizes the result on the human-computer interaction interface and the remote background.

[0046] Embodiment Two A heat tracing band control method for a sulfur hexafluoride circuit breaker in a cold region, using the heat tracing band control system for a sulfur hexafluoride circuit breaker in a cold region in Embodiment One, comprising the following steps: Real-time acquisition of operation data of the sulfur hexafluoride circuit breaker and the heat tracing band; Construction of a digital twin virtual model of the sulfur hexafluoride circuit breaker and the heat tracing band based on the operation data; Prediction of the operation state of the sulfur hexafluoride circuit breaker and the heat tracing band in a preset future time by a machine learning algorithm using the digital twin virtual model, to obtain a prediction result; Comparison of the prediction result with a preset safety threshold to generate a start-stop control instruction of the heat tracing band; Real-time display of the sulfur hexafluoride circuit breaker state, the heat tracing band operation parameters, and the prediction result, and execution of start-stop control or fault alarm of the heat tracing band according to the control instruction.

[0047] Embodiment Three A heat tracing band control system for a sulfur hexafluoride circuit breaker in a cold region that fuses digital twin technology, realizes intelligent control, state prediction, and remote monitoring of the heat tracing band by constructing a virtual digital twin model.

[0048] Referring to Figure 1 , the system architecture includes: Physical layer: contains high-voltage sulfur hexafluoride circuit breakers, heat tracing bands, temperature sensors, gas density relays, current sensors, and other devices; Data Acquisition Layer: Real-time collection of environmental temperature, heating band current, surface temperature, gas density, etc. Digital Twin Model Layer: Constructing virtual models of circuit breakers and heating bands, integrating physical models, behavior models, and data models. Intelligent Control Layer: Based on digital twin models and real-time data, making state predictions and control decisions. Human-Machine Interaction and Remote Monitoring Layer: Providing local display interfaces and remote monitoring backends, supporting state viewing, fault alarms, and remote control.

[0049] Referring to Figure 2 , Heating Band Control Input Process: S1: Real-time collection of environmental temperature T 环 , density relay pressure Pr, heating band surface temperature T 伴 , etc. through sensors, and uploading to the digital twin model.

[0050] S2: The digital twin model predicts the risk of liquefaction of the gas inside the circuit breaker based on real-time data and historical data, and determines whether the heating band needs to be turned on.

[0051] S3: If the model predicts that the heating band needs to be turned on (T 环 <T 设 and P r <P 极 and T 伴 <T 极 ), then control the heating band to be powered on. T 设 is the design temperature threshold, the minimum environmental temperature limit allowed by the circuit breaker design, P 极 is the pressure extreme threshold, the minimum allowed pressure value monitored by the density relay, T 极 is the heating band temperature extreme, the safety upper limit of the heating band surface temperature.

[0052] S4: During the heating band power-on process, continuously collect data and update the digital twin model state.

[0053] S5: If the model predicts that the risk is removed (T 环 >T 设 or P r >P 极 or T 伴 >T 极 ), then control the heating band to be powered off.

[0054] Referring to Figure 3 , Heating Band Switching Process: S7: The digital twin model monitors the working time T g and working current C s of each heating band in real time, and evaluates its health status.

[0055] S8: If the model determines that the heat tracing band working time is over limit or the current is abnormal (such as C s <C 固 ), the switching logic is triggered.

[0056] S9: Control the heat tracing band switching and send the switching signal to the local and remote monitoring platform.

[0057] Referring to Figure 4 , heat tracing band state monitoring: Through the digital twin model, the heat tracing band working current C s is analyzed in real time to determine its state (normal, aging, short circuit, open circuit), and the results are visually displayed on the human-machine interface and remote background.

[0058] Referring to Figure 5 , digital twin function extension: Predictive maintenance: based on historical data and real-time data, predict the aging trend and failure risk of the heat tracing band, and give early warning; Remote control and optimization: support remote manual forced input of all heat tracing bands, enhance emergency response capability in extreme weather; Simulation and training: provide a virtual simulation environment to support operator training and operation exercises.

[0059] The present embodiment realizes the following advantages by integrating digital twin technology: Intelligent control: based on virtual models and real-time data, accurately predict gas liquefaction risks and optimize heat tracing band switching strategies; Predictive maintenance: identify heat tracing band aging and failure risks in advance to reduce unplanned downtime probability; Remote monitoring and operation: support remote visual monitoring and control to improve operational efficiency; System scalability: the digital twin platform can integrate more devices and data sources to support future function extension.

[0060] The present embodiment is a heat tracing band control method for sulfur hexafluoride circuit breakers in cold regions, which integrates digital twin technology. The control logic is driven by digital twin models and real-time data. Predictive maintenance and remote monitoring functions based on digital twin models are introduced. The present embodiment constructs digital twin models of circuit breakers and heat tracing bands to realize virtual mapping and state prediction. Based on digital twin models and real-time data, the heat tracing band switching and switching are automatically controlled. Remote monitoring and predictive maintenance functions are provided to improve the intelligent level of the system.

[0061] Many embodiments and many applications other than those described herein will be apparent to those skilled in the art from consideration of the specification and practice of the teachings herein. Therefore, the scope of the present teachings should be determined by the appended claims and equivalents thereof, rather than by the description alone. All articles and references, including patent applications and publications, are incorporated herein by reference for all that they contain. Any aspect of the subject matter disclosed herein that is not recited in the claims is hereby abandoned. The foregoing detailed description has set forth various embodiments of the devices and / or processes via the use of specific terminology. However, embodiments thereof can be practiced without the specific details (e.g., the examples set forth above) which have been described in the context of particular embodiments. Accordingly, the disclosure of the present application is intended to be illustrative, but not limiting, of the scope of the application, which is set forth in the following claims.

[0062] The above description is further detailed of the present application, and cannot be considered as limiting the specific embodiments of the present application, and for those skilled in the art, without departing from the concept of the present application, a number of simple deductions or replacements can be made, which should be considered as belonging to the present application.

Claims

1. A control system for a heat tracing band for a sulfur hexafluoride circuit breaker in a cold region, characterized by, The system comprises a human-computer interaction and remote monitoring layer, an intelligent control layer, a digital twin layer, a data acquisition layer, and a physical layer; The physical layer comprises physical layer devices, including a sulfur hexafluoride circuit breaker, a heat tracing band, and a sensor; The data acquisition layer is connected with the physical layer and is configured to collect sulfur hexafluoride circuit breaker and heat tracing band data in real time; The digital twin layer is configured to construct a virtual model of the circuit breaker and the heat tracing band by using the circuit breaker and heat tracing band data; The intelligent control layer is in bidirectional communication with the digital twin model layer, and is configured to predict the state of the physical layer device in a future preset time by machine learning algorithm based on the virtual model of the digital twin model layer and the circuit breaker and heat tracing band data, to obtain a prediction result, and to generate a start-stop control instruction of the heat tracing band according to the prediction result and a preset safety threshold; The human-computer interaction and remote monitoring layer is connected with the intelligent control layer and the physical layer, and is configured to display the circuit breaker state, the heat tracing band operating parameter, and the prediction result in real time, and to support fault alarm and remote control based on the control instruction.

2. A control system for a heat tracing band of a SF6 circuit breaker in cold regions according to claim 1, characterized in that, The sensor comprises a temperature sensor, a gas density relay, and a current sensor, the heat tracing band is laid along the shell of the high-voltage sulfur hexafluoride circuit breaker, the current sensor is connected with the heat tracing band, the temperature sensor is connected with the high-voltage sulfur hexafluoride circuit breaker, and the gas density relay is connected with the high-voltage sulfur hexafluoride circuit breaker.

3. A control system for a heat tracing band of a SF6 circuit breaker in cold regions according to claim 2, characterized in that, The data acquisition layer is configured to collect the ambient temperature and the circuit breaker surface temperature output by the temperature sensor, the sulfur hexafluoride gas density data output by the gas density relay, and the heat tracing band current data output by the current sensor in real time.

4. The control system for the heat tracing band of the SF6 circuit breaker in cold region according to claim 1, characterized in that, The virtual model of the circuit breaker and the heat tracing band comprises a physical model, a behavior model, and a data model; The physical model is a three-dimensional geometric model of the circuit breaker and the heat tracing band; The behavior model simulates the heating efficiency of the heat tracing band and the temperature field distribution of the circuit breaker based on heat transfer theory, and simulates the variation characteristics of the sulfur hexafluoride gas density with temperature based on a gas state equation; The data model integrates real-time data and historical operating data collected by the data acquisition layer, and constructs a space-time database for dynamic updating of the model; The prediction result comprises an ambient temperature variation trend, a circuit breaker temperature variation trend, and a heat tracing band aging state.

5. A control system for a heat tape for a SF6 circuit breaker in cold climates according to claim 1, characterized in that, The method comprises the following steps: The digital twin model predicts the risk of liquefaction of the gas inside the circuit breaker based on real-time data and historical data, and determines whether the circuit breaker needs to be powered by the heat tracing band; If the digital twin model predicts that the circuit breaker needs to be powered by the heat tracing band, the heat tracing band is powered on; During the process of powering on the heat tracing band, data is continuously collected and the state of the digital twin model is updated; If the model predicts that the risk is eliminated, the heat tracing band is powered off.

6. A control system for a heat tracing band of a SF6 circuit breaker in cold regions as claimed in claim 5 wherein, The condition for the digital twin model to predict that the circuit breaker needs to be powered by the heat tracing band is that the ambient temperature is less than a preset circuit breaker temperature threshold, the density relay pressure is less than a density relay pressure extreme threshold, and the heat tracing band surface temperature is less than a heat tracing band temperature extreme value. The risk release conditions are ambient temperature > circuit breaker preset temperature threshold or density relay pressure > density relay pressure extreme value threshold or heat tracing band surface temperature > heat tracing band temperature extreme value.

7. A control system for a heat tracing band of a SF6 circuit breaker in cold regions as claimed in claim 6 wherein, The human-computer interaction and remote monitoring layer includes a local display interface and a remote monitoring background.

8. A control system for a heat tracing band of a SF6 circuit breaker in cold regions according to claim 7, characterized in that, The digital twin model monitors the working time and working current of each heat tracing band in real time, evaluates the health status of each heat tracing band, triggers switching logic to control heat tracing band switching if the model judges that the working time of a heat tracing band is out of limit or the current is abnormal, and sends the switching signal to the local display interface and the remote monitoring background.

9. A control system for a heat tracing band of a SF6 circuit breaker in cold regions according to claim 8, characterized in that, The digital twin model analyzes the working current of the heat tracing band in real time, judges the state of the heat tracing band and visualizes the result on the human-computer interaction interface and the remote background.

10. A method for controlling a heating band of a SF6 circuit breaker in cold regions, using a control system for a heating band of a SF6 circuit breaker in cold regions according to any one of claims 1 to 9, characterized by, The method comprises the following steps: Real-time collection of operating data of the SF6 circuit breaker and the heat tracing band; Construction of a digital twin virtual model of the SF6 circuit breaker and the heat tracing band based on the operating data; Prediction of the operating state of the SF6 circuit breaker and the heat tracing band in a preset future time by a machine learning algorithm using the digital twin virtual model to obtain a prediction result; Comparison of the prediction result with a preset safety threshold to generate a start-stop control instruction of the heat tracing band; Real-time display of the SF6 circuit breaker state, heat tracing band operating parameters and prediction result, and execution of the start-stop control or fault alarm of the heat tracing band according to the control instruction.

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