Substation hot and humid environment regulation and control method and system based on industrial Internet of Things

Abstract

The invention discloses a transformer substation hot and humid environment regulation and control method and system based on the industrial Internet of Things. The method comprises the steps that target environment parameters of target positions in all areas in a transformer substation are obtained; acquiring the real-time environment parameters of the target position of each region in the transformer substation acquired by the distributed Internet of Things sensor in real time; according to the target environment parameters and the real-time environment parameters, generating a control instruction set of environment regulation and control equipment based on a sliding mode control algorithm of a fuzzy index reaching law; and according to the control instruction set, adjusting environment regulation and control equipment in each region in the transformer substation based on an industrial Internet of Things execution layer. According to the invention, accurate control of the environment regulation and control equipment is realized, so that the hot and humid environment in the transformer substation is always kept within an ideal range, and equipment faults caused by environment abnormity are effectively avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent power control, and in particular to a method and system for controlling the thermal and humid environment of a substation based on the industrial Internet of Things. Background Art

[0002] With the continuous development and upgrade of power systems, substations, as key nodes for power transmission and distribution, are crucial for their operational stability and reliability. Equipment within substations has strict requirements for the temperature and humidity of their operating environment. Unsuitable heat and humidity can lead to decreased equipment performance, increased failure rates, and even safety incidents, posing significant risks to the normal operation of the power system. Therefore, effective regulation of the substation's heat and humidity environment is crucial to ensuring stable power system operation.

[0003] Traditional methods for controlling the thermal and humidity environments in substations rely primarily on manual inspections and simple automated control devices. Manual inspections are not only inefficient but also struggle to accurately obtain environmental parameters in real time, making it difficult to detect environmental anomalies promptly. Traditional automated control devices, on the other hand, are relatively limited in functionality and lack the ability to comprehensively analyze and precisely control environmental parameters. In recent years, the rapid development of Industrial Internet of Things (IIoT) technology has provided new solutions for controlling the thermal and humidity environments in substations. By deploying a large number of sensors within equipment and the environment, IIoT enables real-time data collection and transmission, providing richer data support and more precise control methods for environmental control. However, leveraging IIoT technology, combined with advanced control algorithms, to achieve efficient control of the substation's thermal and humidity environments remains a pressing technical challenge. Summary of the Invention

[0004] To address the difficulty in achieving efficient control of the thermal and humid environment in substations in existing technologies, the present invention provides a method and system for controlling the thermal and humid environment in substations based on the Industrial Internet of Things. This method can acquire real-time environmental parameters of target locations in various areas within the substation through the distributed deployment of multiple IoT sensors. A sliding mode control algorithm based on the fuzzy exponential convergence law generates a control instruction set based on the difference between the target environmental parameters and the real-time environmental parameters, achieving precise control of the environmental control equipment. This ensures that the thermal and humid environment within the substation is always within the ideal range, effectively preventing equipment failures due to environmental anomalies. The specific technical solution is as follows:

[0005] In a first aspect, the present invention provides a method for controlling a thermal and humid environment in a substation based on the industrial Internet of Things, comprising:

[0006] Obtain target environmental parameters of target locations in each area within the substation;

[0007] Obtain real-time environmental parameters of target locations in each area of ​​the substation collected by distributed IoT sensors;

[0008] Generate a control instruction set for the environmental control device based on a sliding mode control algorithm of a fuzzy exponential reaching law according to the target environmental parameters and the real-time environmental parameters;

[0009] According to the control instruction set, the environmental control equipment in each area of ​​the substation is adjusted based on the industrial Internet of Things execution layer.

[0010] Preferably, obtaining target environmental parameters of target locations in each area within the substation includes:

[0011] Obtain preset target environmental parameters for target locations in the main transformer room, distribution room, capacitor room, secondary equipment room, and GIS room within the substation.

[0012] Preferably, the obtaining of real-time environmental parameters of target locations in each area of ​​the substation collected by the distributed Internet of Things sensors in real time includes:

[0013] Based on the locations of distributed IoT sensors deployed in the substation's main transformer room, distribution room, capacitor room, secondary equipment room, and GIS room, real-time environmental parameters of temperature / humidity fixed measurement points, wind speed / humidity mobile measurement points, and heat flow / temperature or heat flow / humidity fixed measurement points at the IoT sensor locations are obtained.

[0014] Preferably, the target environmental parameters and real-time environmental parameters of the target locations in each area of ​​the substation include the indoor temperature and humidity of the substation enclosure area, the surface temperature of the power equipment, and the wind speed and water vapor diffusion speed in the channel area.

[0015] Preferably, the generating of the control instruction set of the environmental control device according to the target environmental parameter and the real-time environmental parameter by a sliding mode control algorithm based on the fuzzy exponential reaching law comprises:

[0016] Calculating various environmental parameter deviations of target locations in each area within the substation based on the target environmental parameters and the real-time environmental parameters;

[0017] Calculate the comprehensive deviations of various environmental parameters based on the deviations of various environmental parameters and the weights of various environmental parameters preset at each target location;

[0018] According to the comprehensive deviation of various environmental parameters, a sliding mode control algorithm based on the fuzzy exponential reaching law is used to generate control instruction sets for environmental control equipment in each area of ​​the substation.

[0019] Preferably, the generating of the control instruction set for the environmental control equipment in each area of ​​the substation according to the comprehensive deviation of various environmental parameters and the sliding mode control algorithm based on the fuzzy exponential reaching law includes:

[0020] According to the comprehensive deviations of various environmental parameters, the integral sliding surface switching functions of various environmental parameters are established respectively;

[0021] Differentiate the integrated sliding mode surface switching function of various environmental parameters to generate the sliding mode control law;

[0022] The fuzzy exponential reaching law is injected into the sliding mode control law to obtain the control instruction set of the environmental control equipment in each area of ​​the substation.

[0023] Preferably, the control instruction set of the environmental control device includes mode adjustment and temperature adjustment of the air conditioner, speed of the fan and impeller speed of the axial flow fan.

[0024] In a second aspect, the present invention further provides a substation heat and humidity environment control system based on the industrial Internet of Things, applying the aforementioned method, including:

[0025] A target data acquisition unit, used to acquire target environmental parameters of target locations in each area within the substation;

[0026] Real-time data acquisition unit, used to obtain real-time environmental parameters of target locations in each area of ​​the substation collected by distributed IoT sensors;

[0027] A fuzzy control unit, configured to generate a control instruction set for an environmental control device based on a sliding mode control algorithm of a fuzzy exponential reaching law according to the target environmental parameters and the real-time environmental parameters;

[0028] The execution control unit is used to adjust the environmental control equipment in each area of ​​the substation based on the industrial Internet of Things execution layer according to the control instruction set.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention can obtain the environmental parameters of target locations in various areas of the substation in real time through the distributed deployment of multiple Internet of Things sensors. The sliding mode control algorithm based on the fuzzy exponential reaching law generates an accurate control instruction set according to the difference between the target environmental parameters and the real-time environmental parameters, thereby achieving precise control of the environmental control equipment, so that the thermal and humid environment in the substation is always maintained within the ideal range, and effectively avoiding equipment failure due to environmental abnormalities. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings required for the specific embodiments or the description of the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. Elements or parts in the drawings are not necessarily drawn to scale.

[0032] Figure 1This is a flow chart of a method for controlling the thermal and humid environment of a substation based on the industrial Internet of Things according to the present invention.

[0033] Figure 2 This is a schematic diagram of a heat and humidity environment control system for a substation based on the industrial Internet of Things according to the present invention.

[0034] Figure 3 Schematic diagram of test point distribution in the main transformer room of a substation according to the present invention.

[0035] Figure 4 Schematic diagram of test point distribution in the power distribution room of a substation according to the present invention. Schematic diagram of test point distribution in the 10kV power distribution room of a 110kV modular substation.

[0036] Figure 5 Schematic diagram of test point distribution in the capacitor room of a transformer substation according to the present invention.

[0037] Figure 6 Schematic diagram of test point distribution in the secondary equipment room of a substation according to the present invention.

[0038] Figure 7 Schematic diagram of test point distribution in the substation GIS room of the present invention. DETAILED DESCRIPTION

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0040] It should be understood that when used in this specification, the terms "include" and "comprising" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0041] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0042] It should be further understood that the term “and / or” used in the description of the present invention refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0043] Please refer to the following examples Figures 1 to 7.

[0044] The present application provides a method for controlling the thermal and humid environment of a substation based on the Industrial Internet of Things, including:

[0045] Step S1, obtaining target environmental parameters of target locations in each area within the substation;

[0046] The target environmental parameters for target locations within each substation area include the indoor temperature and humidity of the substation enclosure, the surface temperature of power equipment, and the wind speed and water vapor diffusion rate in the passageway area. Considering the varying environmental requirements of equipment in different areas, such as the main transformer room, distribution room, capacitor room, secondary equipment room, and GIS room, preset target environmental parameters can meet the optimal operating environment requirements of different equipment in their respective areas. Parameters for the enclosure area, equipment surface, and passageway area are included in the monitoring scope, accounting for the impact of different factors on the equipment operating environment.

[0047] Based on the area formed by the enclosed enclosure of the substation, the substation is divided into areas such as the main transformer room, distribution room, capacitor room, secondary equipment room and GIS room. For the target environmental parameters of the target locations of the main transformer room, distribution room, capacitor room, secondary equipment room and GIS room, etc. In this embodiment, the target environmental parameters are obtained based on historical operation data and experience. A large amount of historical environmental data and equipment operation status data has been accumulated during the long-term operation of the substation. By analyzing the historical data, the typical thermal and humid environmental parameter range corresponding to the good operation of the equipment can be obtained, which is used as the target reference value. At the same time, the on-site experience of the operation and maintenance personnel is also very important. They can determine the target environmental parameters suitable for the actual situation of the substation based on their long-term equipment maintenance experience to adapt to the specific operating conditions of different substations.

[0048] In another embodiment, target environmental parameters can be obtained based on the equipment's operating manual. Equipment manufacturers provide the required environmental conditions for equipment operation, including the temperature, humidity, and other parameter ranges for which the equipment was designed. By consulting the equipment's operating manual or technical documentation, the target environmental parameter values ​​for the equipment's optimal operating state can be directly obtained. Alternatively, target environmental parameters can be obtained based on industry specifications and standards. The power industry has relevant specifications and standards, such as those published by the State Grid Corporation of China or those of the International Electrotechnical Commission (IEC), which specify thermal and humidity environment requirements for substations. Setting target environmental parameters in accordance with these industry standards ensures that the equipment's operating environment within the substation meets generally recognized technical requirements, guaranteeing safe and stable operation. Alternatively, target environmental parameters can be obtained based on data analysis and modeling. Using big data analysis and modeling techniques, historical and real-time environmental data collected from IoT sensors is processed. By establishing a correlation model between equipment performance and environmental parameters, the target environmental parameters corresponding to the equipment's optimal operating state under different environmental conditions can be predicted.

[0049] Step S2: obtaining real-time environmental parameters of target locations in each area of ​​the substation collected by distributed IoT sensors;

[0050] The target environmental parameters and real-time environmental parameters of the target locations in each area of ​​the substation include the indoor temperature and humidity of the substation enclosure area, the surface temperature of the power equipment, and the wind speed and water vapor diffusion speed in the passage area.

[0051] By distributing multiple IoT sensors at target locations in the substation's main transformer room, distribution room, capacitor room, secondary equipment room, and GIS room, the system can obtain real-time environmental parameters at fixed temperature / humidity measurement points, mobile wind speed / humidity measurement points, and fixed heat flow / temperature or heat flow / humidity measurement points at the IoT sensor locations.

[0052] In order to obtain the data on the operating characteristics of key equipment in the main transformer room, distribution room, capacitor room, secondary equipment room and GIS room of the substation, as well as the changes in parameters such as indoor and outdoor temperature, humidity, wind speed, etc. In the process of conducting hot and humid environment testing in a substation in energized operation, it is necessary to formulate a test plan and test location that strictly complies with safety operation specifications, and reasonably select hot and humid environment test equipment and determine the installation method and installation location of the test equipment based on the actual situation and characteristics of the electrical equipment and equipment room. Therefore, in this embodiment, the measuring points are set based on experience, including key location points in each area. Figure 3-Figure 7As shown in the figure, fixed temperature / humidity measuring points are set along the perimeter of the oil pipes and oil storage cabinets in the main transformer room, fixed heat flow / temperature measuring points are configured in the transformer area, and mobile wind speed / humidity measuring points are deployed on the ventilation path; fixed heat flow / humidity measuring points are set in the cabinet-intensive area of ​​the distribution room, and mobile wind speed / humidity measuring points are deployed in the passage area; fixed heat flow / humidity measuring points are arranged on the reactors and capacitors in the capacitor room, and mobile measuring points are deployed in the equipment gaps; fixed temperature / humidity measuring points are set between the cabinet rows in the secondary equipment room, and fixed heat flow / temperature measuring points and mobile measuring points are deployed in the air supply area of ​​the air conditioner.

[0053] Step S3, generating a control instruction set for the environmental control device based on the target environmental parameters and the real-time environmental parameters and a sliding mode control algorithm according to the fuzzy exponential reaching law; specifically comprising:

[0054] S31, calculating various environmental parameter deviations of target locations in each area within the substation based on the target environmental parameters and the real-time environmental parameters;

[0055] The real-time collected environmental parameters of temperature, humidity, wind speed, and water vapor diffusion rate are compared with the corresponding target environmental parameters, and the deviation value of each environmental parameter at different target locations is calculated. Among them, wind speed and water vapor diffusion rate are calculated by moving the measurement point.

[0056] S32, calculating the comprehensive deviations of various environmental parameters based on the deviations of various environmental parameters and the weights of various environmental parameters preset at each target position;

[0057] Temperature comprehensive deviation e T (t) is calculated as follows:

[0058]

[0059] Where, T err,n Indicates the temperature deviation of the nth target position measurement point; ω n Indicates the temperature weight of the nth target position; n represents the number of temperature measurement points.

[0060] Humidity comprehensive deviation e H (t) is calculated as follows:

[0061]

[0062] Where H err,m Indicates the temperature deviation of the mth target position measurement point; Represents the humidity weight of the mth target location; m represents the number of humidity measurement points.

[0063] Wind speed comprehensive deviation e V (t) is calculated as follows:

[0064]

[0065] Where V err,l Indicates the temperature deviation of the lth target position measuring point; ε l represents the wind speed weight of the lth target position; l represents the number of wind speed measurement points.

[0066] It's important to note that weights for various environmental parameters are preset at each target location based on the sensitivity and importance of different substation areas and equipment to these parameters. For example, in the main transformer room, temperature and humidity are likely to have a significant impact on equipment operation, so their weights are relatively high. In the corridor area, wind speed and water vapor diffusion rate have higher weights.

[0067] S33. Based on the comprehensive deviations of various environmental parameters and the sliding mode control algorithm based on the fuzzy exponential reaching law, a control instruction set for the environmental control equipment in each area of ​​the substation is generated.

[0068] a) According to the comprehensive deviations of various environmental parameters, the integral sliding surface switching functions of various environmental parameters are established respectively;

[0069] Temperature sliding surface function:

[0070]

[0071] Among them, λ T is an adjustable parameter for temperature convergence rate;

[0072] Humidity sliding surface function:

[0073]

[0074] Among them, λ H is an adjustable parameter for humidity convergence rate;

[0075] Wind speed sliding surface function:

[0076]

[0077] Among them, λ v is the wind speed convergence rate parameter;

[0078] The sliding surface matrix is ​​expressed as:

[0079]

[0080] Among them, when ||s||=0, the temperature deviation is Exponential convergence, humidity deviation according to Index converges, wind speed deviation is Exponential convergence.

[0081] b) Differentiate the integrated sliding mode surface switching function of various environmental parameters to generate the sliding mode control law;

[0082] By expanding the differential control law and differentiating the integral sliding surface switching function, we obtain the sliding mode control law. This law can determine the direction and intensity of environmental control equipment operation based on changes in the integrated deviation, so that environmental parameters approach target values ​​as quickly as possible.

[0083] Temperature control law:

[0084]

[0085] Humidity control law:

[0086]

[0087] Wind speed control law:

[0088]

[0089] in, and They are the temperature sliding surface derivative, humidity sliding surface derivative and wind speed sliding surface derivative respectively.

[0090] By forcing the sliding surface norm to decrease:

[0091] Right now

[0092] in, is the derivative of the square of the sliding surface norm,

[0093] c) The fuzzy exponential reaching law is injected into the sliding mode control law to obtain the control instruction set of the environmental control equipment in each area of ​​the substation.

[0094] Multidimensional convergence law:

[0095]

[0096] Where,∈ T ,∈ H and ∈ V They are respectively expressed as the temperature boundary layer thickness, humidity boundary layer thickness and wind speed boundary layer thickness; k T 、k H and k V are respectively the temperature approaching rate gain, humidity approaching rate gain and wind speed approaching rate gain; f T 、f H and f V They are temperature fuzzy adjustment function, humidity fuzzy adjustment function and wind speed fuzzy adjustment function respectively.

[0097] Generate air conditioning instructions as follows:

[0098]

[0099] Among them, u AC It is the air conditioning control instruction, which adjusts the cooling / dehumidification power; K p is the air conditioning power conversion coefficient, which converts the control quantity into actual power;

[0100] Generate fan instructions:

[0101]

[0102] Where u Fan K is the fan control instruction; V is the air volume-speed conversion coefficient, which converts the control quantity into fan speed;

[0103] It should be noted that the axial flow fans in the secondary equipment room and GIS room also use the sliding mode control algorithm based on the fuzzy exponential reaching law to generate the start and stop control instructions of the axial flow fans. The axial flow fan instructions are generated as follows:

[0104]

[0105] Among them, s th It is the preset threshold for starting the axial flow fan. When the norm of the sliding surface exceeds this threshold, the axial flow fan is started for emergency cooling or dehumidification.

[0106] By establishing and differentiating the switching function of an integral sliding surface, a sliding mode control law is generated. A fuzzy exponential reaching law is then incorporated into this law to further optimize the control law, making it more adaptable to the dynamic changes in the substation's thermal and humid environment and improving the response speed and control accuracy of environmental control equipment. Using a sliding mode control algorithm based on the fuzzy exponential reaching law to generate control commands for air conditioners, fans, and axial fans, this algorithm can rapidly respond to changes in environmental parameters, promptly adjust the operating state of environmental control equipment, reduce the time it takes for the system to reach a stable state, and improve the dynamic performance and adaptability of the substation's thermal and humid environment control system. By precisely adjusting the operating parameters of equipment such as air conditioners and fans, refined control of the substation's thermal and humid environment is achieved, preventing over- or under-operation of equipment, ensuring that equipment operates in optimal conditions, and extending its service life.

[0107] Step S4: According to the control instruction set, the environmental control equipment in each area of ​​the substation is adjusted based on the industrial Internet of Things execution layer.

[0108] The control instruction set is parsed by the Industrial Internet of Things execution layer. After receiving the control instruction set, the Industrial Internet of Things execution layer parses the instruction set to identify the corresponding specific environmental control equipment and the operations and adjustment parameters that need to be performed. For example, it parses the need to adjust the air conditioner mode, temperature setting, or the need to adjust the fan speed, axial fan impeller speed and other operations. According to the parsed instructions, the Industrial Internet of Things execution layer converts the control signal into a signal format compatible with the environmental control equipment, and transmits it to the specific equipment through the corresponding communication interface or control bus. After receiving the control signal, the environmental control equipment performs the corresponding adjustment operation according to the instruction requirements. For example, the following operations:

[0109] Air conditioners switch operating modes (cooling, heating, ventilation, etc.) based on control commands, while also adjusting the set temperature to regulate indoor air temperature and humidity. For example, if the real-time temperature is higher than the target temperature, the air conditioner switches to cooling mode and lowers the set temperature; if the humidity is high, the air conditioner can activate dehumidification mode.

[0110] Fan equipment adjusts its speed based on control commands to change ventilation volume and air flow rate, affecting ambient temperature, humidity, and wind speed. For example, increasing fan speed can increase air circulation, removing heat and moisture generated by the equipment; decreasing speed reduces air flow, which is suitable for situations where environmental parameters are close to target values ​​and need to be maintained stable.

[0111] The present invention can obtain the environmental parameters of target locations in various areas of the substation in real time through the distributed deployment of multiple Internet of Things sensors. The sliding mode control algorithm based on the fuzzy exponential reaching law generates an accurate control instruction set according to the difference between the target environmental parameters and the real-time environmental parameters, thereby achieving precise control of the environmental control equipment, so that the thermal and humid environment in the substation is always maintained within the ideal range, and effectively avoiding equipment failure due to environmental abnormalities.

[0112] The present application also provides a substation heat and humidity environment control system based on the industrial Internet of Things, which applies the aforementioned method and includes:

[0113] A target data acquisition unit, used to acquire target environmental parameters of target locations in each area within the substation;

[0114] Real-time data acquisition unit, used to obtain real-time environmental parameters of target locations in each area of ​​the substation collected by distributed IoT sensors;

[0115] A fuzzy control unit, configured to generate a control instruction set for an environmental control device based on a sliding mode control algorithm of a fuzzy exponential reaching law according to the target environmental parameters and the real-time environmental parameters;

[0116] The execution control unit is used to adjust the environmental control equipment in each area of ​​the substation based on the industrial Internet of Things execution layer according to the control instruction set.

[0117] The functional explanation of each unit in this embodiment is the same as that of a substation thermal and humidity environment control method based on industrial Internet of Things, and the technical effect is the same, so it will not be repeated here.

[0118] Those skilled in the art will appreciate that the units of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0119] In the embodiments provided by the present invention, it should be understood that the division of units is merely a logical function division, and there may be other division methods in actual implementation, for example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0120] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0121] If the integrated unit is implemented in the form of a software functional unit 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, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nly Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc., various media that can store program code.

[0122] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the specification of the present invention.

Claims

1. A method for controlling heat and humidity environment in a substation based on industrial Internet of Things, characterized in that: include: Obtain target environmental parameters of target locations in each area within the substation; Obtain real-time environmental parameters of target locations in each area of ​​the substation collected by distributed IoT sensors; Generate a control instruction set for the environmental control device based on a sliding mode control algorithm of a fuzzy exponential reaching law according to the target environmental parameters and the real-time environmental parameters; According to the control instruction set, the environmental control equipment in each area of ​​the substation is adjusted based on the industrial Internet of Things execution layer.

2. The method for controlling the thermal and humid environment of a substation based on the industrial Internet of Things according to claim 1, characterized in that: The step of obtaining target environmental parameters of target locations in each area of ​​the substation includes: Obtain preset target environmental parameters for target locations in the main transformer room, distribution room, capacitor room, secondary equipment room, and GIS room within the substation.

3. The method for controlling the thermal and humid environment of a substation based on the industrial Internet of Things according to claim 2, characterized in that: The real-time environmental parameters of target locations in each area of ​​the substation collected by the distributed Internet of Things sensors in real time include: Based on the locations of distributed IoT sensors deployed in the substation's main transformer room, distribution room, capacitor room, secondary equipment room, and GIS room, real-time environmental parameters of temperature / humidity fixed measurement points, wind speed / humidity mobile measurement points, and heat flow / temperature or heat flow / humidity fixed measurement points at the IoT sensor locations are obtained.

4. The method for controlling the thermal and humid environment of a substation based on the industrial Internet of Things according to claim 3 is characterized in that: The target environmental parameters and real-time environmental parameters of the target locations in each area of ​​the substation include the indoor temperature and humidity of the substation enclosure area, the surface temperature of the power equipment, and the wind speed and water vapor diffusion speed in the passage area.

5. The method for controlling the thermal and humid environment of a substation based on the industrial Internet of Things according to claim 4 is characterized in that: The step of generating a control instruction set for an environmental control device based on a sliding mode control algorithm according to the target environmental parameters and the real-time environmental parameters and based on a fuzzy exponential reaching law includes: Calculating various environmental parameter deviations of target locations in each area within the substation based on the target environmental parameters and the real-time environmental parameters; Calculate the comprehensive deviations of various environmental parameters based on the deviations of various environmental parameters and the weights of various environmental parameters preset at each target location; According to the comprehensive deviation of various environmental parameters, a sliding mode control algorithm based on the fuzzy exponential reaching law is used to generate control instruction sets for environmental control equipment in each area of ​​the substation.

6. The method for controlling the thermal and humid environment of a substation based on the industrial Internet of Things according to claim 5, characterized in that: The control instruction set for the environmental control equipment in each area of ​​the substation is generated based on the sliding mode control algorithm according to the comprehensive deviation of various environmental parameters and the fuzzy exponential reaching law, including: According to the comprehensive deviations of various environmental parameters, the integral sliding surface switching functions of various environmental parameters are established respectively; Differentiate the integrated sliding mode surface switching function of various environmental parameters to generate the sliding mode control law; The fuzzy exponential reaching law is injected into the sliding mode control law to obtain the control instruction set of the environmental control equipment in each area of ​​the substation.

7. The method for controlling the thermal and humid environment of a substation based on the industrial Internet of Things according to claim 6, characterized in that: The control instruction set of the environmental control device includes mode adjustment and temperature adjustment of the air conditioner, speed of the fan and impeller speed of the axial flow fan.

8. A substation heat and humidity environment control system based on industrial Internet of Things, characterized by: Applying the method according to any one of claims 1 to 7, comprising: A target data acquisition unit, used to acquire target environmental parameters of target locations in each area within the substation; Real-time data acquisition unit, used to obtain real-time environmental parameters of target locations in each area of ​​the substation collected by distributed IoT sensors; A fuzzy control unit, configured to generate a control instruction set for an environmental control device based on a sliding mode control algorithm of a fuzzy exponential reaching law according to the target environmental parameters and the real-time environmental parameters; The execution control unit is used to adjust the environmental control equipment in each area of ​​the substation based on the industrial Internet of Things execution layer according to the control instruction set.

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