Intelligent remotely-controllable centralized air conditioner control system of substation control cubicle

Abstract

The invention relates to the technical field of transformer substation equipment temperature control, in particular to an intelligent remotely-controllable centralized air conditioner control system for a transformer substation control cubicle, which comprises a variable-frequency outdoor unit and at least two indoor units for temperature control of the corresponding control cubicle, and the variable-frequency outdoor unit and the at least two indoor units are connected through branch pipes to form a distributed refrigerant circulating network; the sensing layer is used for collecting temperature and humidity environment data in each control cubicle and assisting operation control of an inner machine; the communication layer establishes a bidirectional communication link among the sensing layer, the control layer and the cloud platform; the control layer receives the temperature and humidity data and executes local or remote operation parameter adjustment and system state control, the system can further comprise an inspection system, an air drying system, an air filtering system and an expansion pipeline, the control layer comprises a local wire controller and a remote control terminal, and the system adjusts the operation state of the indoor unit through a PID algorithm. Accurate temperature control and remote intelligent regulation and control of the control cubicle can be realized, the operation and maintenance efficiency and the system reliability are improved, and the energy consumption is reduced.

Description

Technical Field

[0001] This invention relates to the field of temperature control technology for substation equipment, and is a centralized air conditioning control system for substation control cabinets that is intelligent and remotely adjustable. Background Technology

[0002] As one of the core pieces of equipment in a power system, the substation control cabinet integrates a large number of precision electronic components. The operational stability of these components directly depends on favorable ambient temperature conditions. During the long-term operation of the power system, the electronic components inside the control cabinet continuously generate heat. If this heat cannot be dissipated in time, the temperature inside the cabinet will rise beyond the tolerance range of the electronic components, leading to performance degradation, malfunctions, or even burnout, seriously affecting the safe and stable operation of the power system.

[0003] In existing technologies, the heat dissipation methods for control cabinets mainly include fan cooling, heat exchanger cooling, and air conditioning cooling. Among these, fan cooling is simple in structure and low in cost, but its cooling efficiency is limited. In high-temperature environments or when there are many heat-generating components inside the control cabinet, it is difficult to control the temperature within the ideal range, and it lacks intelligent adjustment capabilities, failing to adaptively adjust the heat dissipation intensity according to changes in the cabinet's internal temperature. While heat exchanger cooling can achieve heat exchange to some extent, it is greatly affected by ambient temperature. When the external ambient temperature is high, the heat dissipation effect will decrease significantly, making it difficult to meet the temperature control requirements in high-temperature environments.

[0004] Compared to the previous two methods, air conditioning provides a more stable temperature environment and has become a common choice for heat dissipation in control cabinets. However, it still has several shortcomings. First, the control method is relatively simple. Most traditional control cabinet air conditioners use local temperature control or infrared remote control, lacking network management capabilities. Maintenance personnel cannot remotely monitor the air conditioner's operating status and the environment inside the control cabinet in real time, making centralized and intelligent management difficult. Second, system coordination is poor. The air conditioning equipment operates independently from environmental monitoring systems and visualization systems, and data sharing and linkage control between these systems are not possible. When an anomaly occurs inside the control cabinet, corresponding response measures cannot be triggered quickly, leading to untimely fault handling. Third, maintenance efficiency is low. After the air conditioning equipment malfunctions, maintenance personnel need to go to the site for troubleshooting. Due to geographical limitations, the response time is often as long as 1-2 hours or more, which not only increases maintenance costs but may also lead to more serious power safety problems due to prolonged unresolved faults. In addition, traditional fixed-frequency air conditioners have low energy efficiency ratios and high energy consumption under partial load, which does not conform to the current development trend of energy conservation and emission reduction. At the same time, their level of intelligence is insufficient, and they cannot automatically adjust operating parameters according to the actual temperature requirements in the control cabinet, nor can they be remotely controlled precisely, making it difficult to meet the needs of intelligent operation and maintenance of modern substations. Summary of the Invention

[0005] This invention provides a centralized air conditioning control system for substation control cabinets that is intelligent and remotely controllable, overcoming the shortcomings of the existing technologies. It can effectively solve the problems of single control mode, poor coordination, and insufficient intelligence level of existing control cabinet air conditioning systems.

[0006] The technical solution of this invention is achieved through the following measures: a centralized air conditioning control system for a substation control cabinet that is intelligent and remotely controllable, comprising: The variable frequency outdoor unit and at least two indoor units for temperature control of the corresponding control cabinet are connected by a branch pipe to form a distributed refrigerant circulation network, which is used to accurately deliver cold or hot air to each corresponding control cabinet to achieve temperature control inside the cabinet. The sensing layer is used to collect temperature and humidity environmental data in each control cabinet, providing data support for the operation and control of the indoor unit and assisting in the realization of the operation and control of the indoor unit. The communication layer is used to establish bidirectional communication links between the sensing layer and the cloud platform, and between the control layer and the cloud platform, enabling the uploading of temperature and humidity data to the cloud platform and the sending of air conditioning control commands to the indoor unit; The control layer receives temperature and humidity data from each control cabinet collected by the sensing layer, and performs local and remote operation parameter adjustments and overall system status control based on the data.

[0007] The following are further optimizations and / or improvements to the above-mentioned technical solution: The aforementioned sensing layer may include a temperature and humidity sensor and an infrared remote control. Each indoor unit is equipped with a temperature and humidity sensor and an infrared remote control. The temperature and humidity sensor is used to collect temperature and humidity data in the corresponding control cabinet, and the infrared remote control is used to assist in starting, stopping, or switching modes of the indoor unit.

[0008] It may also include an inspection system, in which each control cabinet is equipped with a camera. The camera is linked with the control layer and triggers shooting, video transmission and abnormal data recording when the temperature and humidity data of the corresponding control cabinet exceeds the preset threshold.

[0009] It may also include an air drying system, which is installed at the connection between the inverter outdoor unit and the branch pipeline. The air drying system is used to detect the humidity of the air output airflow and adaptively adjust the dehumidification intensity according to the detection results to keep the airflow humidity within a preset range.

[0010] The aforementioned air drying system may include a humidity detection element and a dehumidification component, wherein the dehumidification component adjusts the dehumidification intensity based on the detection result of the humidity detection element.

[0011] It may also include an air filtration system, which is installed at the air inlet of the inverter outdoor unit to filter impurities in the air entering the outdoor unit and purify the air intake environment.

[0012] The aforementioned air filtration system may include at least two layers of filters, used to filter particulate matter and harmful gases in the air, respectively.

[0013] The above may also include expansion piping, with one end of the expansion piping sealed and connected to the inverter outdoor unit or main branch piping, and the other end closed, to accommodate the piping expansion needs of the newly added control cabinet.

[0014] The aforementioned control layer may include a local wired controller and a remote control terminal. The local wired controller is connected to the internal electrical system, and the remote control terminal establishes a communication connection with the communication layer through a cloud platform to realize remote control functions.

[0015] It may also include an environmental monitoring master station, which communicates with the cloud platform to aggregate environmental data and system operating status from each control cabinet and display them uniformly.

[0016] This invention achieves precise temperature control of multiple control cabinets through a distributed refrigerant circulation network. The sensing layer collects environmental data in real time to support control decisions, the communication layer ensures efficient data and command transmission, and the control layer enables both local and remote control. Combined with functional modules such as inspection, drying, filtration, and capacity expansion, it significantly improves the intelligence and precision of temperature control in the control cabinets. It not only solves the problems of traditional air conditioning control methods being singular and lacking coordination, allowing maintenance personnel to remotely monitor and control the system's operating status in real time, but also reduces energy consumption through intelligent operation adjustments. Simultaneously, the inspection system enables rapid fault location and response, greatly improving maintenance efficiency. Furthermore, the air drying and filtration system ensures the stability of the environment within the control cabinets, while the capacity expansion pipeline enhances the system's adaptability, meeting the needs of substations of different sizes and providing a reliable environmental guarantee for the safe and stable operation of the power system. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the structure of a centralized air conditioning control system for a substation control cabinet that is intelligent and remotely controllable, according to an embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram of the control flow of a centralized air conditioning control system for a substation control cabinet that can be remotely controlled, according to an embodiment of the present invention.

[0019] The codes in the attached diagram are as follows: 1 is the inverter outdoor unit, 2 is the branch pipe, 3 is the indoor unit, 4 is the temperature and humidity sensor, 5 is the WiFi module, 6 is the camera, 7 is the control cabinet, 8 is the cloud platform, 9 is the remote control terminal, and 10 is the environmental monitoring master station. Detailed Implementation

[0020] The present invention is not limited to the following embodiments, and the specific implementation can be determined according to the technical solution of the present invention and the actual situation.

[0021] The present invention will be further described below with reference to embodiments: Example 1: As Figure 1 and Figure 2 As shown, this embodiment provides a centralized air conditioning control system for substation control cabinets that is intelligent and remotely controllable, including: The inverter outdoor unit 1 and at least two indoor units 3, each used for temperature control of a corresponding control cabinet 7, are connected via a branch pipe 2 to form a distributed refrigerant circulation network. This network precisely delivers cold or hot air to each corresponding control cabinet 7, achieving temperature regulation within the cabinet. The inverter outdoor unit 1 provides cooling or heating, which is then distributed to each control cabinet 7 via the indoor units 3 after being split by the branch pipe 2. This distributed layout ensures that each control cabinet 7 receives independent and precise temperature regulation, avoiding the problem of uneven temperature distribution when a single air conditioner controls multiple control cabinets 7. This ensures that the electronic components within each control cabinet 7 are in a suitable temperature environment, improving operational stability.

[0022] The sensing layer is used to collect temperature and humidity environmental data within each control cabinet 7, providing data support for the operation and control of the indoor unit 3 and assisting in its operation. As the core of the system's data acquisition, the sensing layer captures real-time changes in temperature and humidity within the control cabinet 7 and transmits the data to the control layer. This provides accurate data for the control layer's decision-making, preventing control commands from becoming disconnected from actual environmental requirements. This allows the system's regulation to be more targeted and precise, and to respond promptly to environmental changes.

[0023] The communication layer establishes bidirectional communication links between the sensing layer and cloud platform 8, and between the control layer and cloud platform 8, enabling the uploading of temperature and humidity data to cloud platform 8 and the issuance of air conditioning control commands to indoor unit 3. The communication layer employs reliable communication protocols and network architecture to ensure the real-time performance and stability of data uploading and command issuance, ensuring that remote control commands can be quickly and accurately transmitted to indoor unit 3. Simultaneously, data collected by the sensing layer can be promptly fed back to cloud platform 8 for maintenance personnel to view. This breaks geographical limitations, enabling remote networked management of the system and improving the convenience of maintenance.

[0024] The control layer receives temperature and humidity data from each control cabinet 7 collected by the sensing layer. Based on this data, it executes local and remote operating parameter adjustments for the corresponding control cabinet's internal unit 3, as well as overall system status control. After receiving data from the sensing layer, the control layer analyzes and judges the data in conjunction with preset temperature thresholds, generating corresponding control commands for different control cabinet 7 environmental conditions. Parameter adjustments can be performed locally or remotely, while the overall system operating status is monitored. This dual local and remote control capability meets the operational and maintenance needs of different scenarios, ensuring stable system operation.

[0025] In this embodiment, the sensing layer includes a temperature and humidity sensor 4 and an infrared remote control. Each indoor unit 3 is equipped with a corresponding temperature and humidity sensor 4 and infrared remote control. The temperature and humidity sensor 4 is used to collect temperature and humidity data within the corresponding control cabinet 7, and the infrared remote control is used to assist in starting, stopping, or switching modes of the indoor unit 3. The temperature and humidity sensor 4 has high-precision detection capabilities, accurately capturing subtle changes in temperature and humidity within the control cabinet 7. The infrared remote control, as an auxiliary control method, can quickly start, stop, or switch modes of the indoor unit 3 under special circumstances, supplementing the control functions of the local wired controller and the remote control terminal 9. This improves the flexibility of system control and ensures effective control of the system under different operating conditions.

[0026] In this embodiment, an inspection system is also included. Each control cabinet 7 in the inspection system is equipped with a camera 6. The camera 6 is linked to the control layer and triggers shooting, video transmission, and abnormal data recording when the temperature and humidity data of the corresponding control cabinet 7 exceeds a preset threshold. When the temperature and humidity inside the control cabinet 7 are abnormal, the control layer quickly triggers the camera 6 to work, shoot the real-time situation inside the control cabinet 7 and transmit it to the cloud platform 8, while recording abnormal data. This provides maintenance personnel with intuitive fault diagnosis basis, avoiding blindly going to the site for troubleshooting. In this way, the fault situation can be quickly located, the fault response and handling time can be shortened, and the maintenance efficiency can be improved.

[0027] In this embodiment, an air drying system is also included. This system is installed at the connection point between the inverter outdoor unit 1 and the branch pipe. It detects the humidity of the airflow output by the air conditioner and adaptively adjusts the dehumidification intensity based on the detection results to maintain the airflow humidity within a preset range. The air drying system monitors the humidity of the output airflow in real time. When the humidity exceeds the preset range, it automatically adjusts the dehumidification intensity to reduce the moisture content in the airflow. This prevents high humidity from causing corrosion or short circuits to the electronic components inside the control cabinet 7, thus ensuring the dryness of the environment inside the control cabinet 7 and extending the service life of the electronic components.

[0028] In this embodiment, the air drying system includes a humidity detection element and a dehumidification component. The dehumidification component adjusts the dehumidification intensity based on the detection results of the humidity detection element. The humidity detection element accurately detects the humidity of the airflow and feeds the data back. The dehumidification component adaptively adjusts itself based on the feedback data to ensure that the dehumidification effect meets the requirements and avoids insufficient or excessive dehumidification. This achieves precise humidity control and improves the stability and reliability of the system operation.

[0029] In this embodiment, an air filtration system is also included. This system is installed at the air inlet of the inverter outdoor unit 1 to filter impurities in the air entering the unit and purify the intake environment. The air filtration system prevents dust, particulate matter, and other impurities from entering the outdoor unit, avoiding their adhesion to the air conditioning components and affecting heat dissipation or causing wear and tear or malfunction. This ensures the long-term stable operation of the air conditioning equipment and reduces the equipment failure rate.

[0030] In this embodiment, the air filtration system includes at least two layers of filters, used to filter particulate matter and harmful gases in the air, respectively. The different layers of filters work together, first filtering larger particles, then finer particles and harmful gases, improving the air purification effect and preventing harmful gases from damaging the air conditioning equipment and electronic components inside the control cabinet 7. This further optimizes the intake air quality and provides a more reliable environmental guarantee for system operation.

[0031] In this embodiment, an expansion pipeline is also included. One end of the expansion pipeline is sealed and connected to the inverter outdoor unit 1 or the main branch pipeline, while the other end is closed. This is used to adapt to the pipeline expansion requirements of the newly added control cabinet 7. When a new control cabinet 7 is added to the substation, the closed end of the expansion pipeline can be directly opened to connect the new indoor unit 3 to the system without the need for large-scale modifications to the original pipeline. This enhances the system's scalability, reduces the cost and difficulty of system expansion, and adapts to the development needs of the substation.

[0032] In this embodiment, the control layer includes a local wired controller and a remote control terminal 9. The local wired controller is electrically connected to the indoor unit 3, and the remote control terminal 9 establishes a communication connection with the communication layer through the cloud platform 8 to realize remote control functions. The local wired controller allows maintenance personnel to set parameters and check status on-site, while the remote control terminal 9 allows maintenance personnel to control the system from any location with network access. The two control methods complement each other, thereby improving the ease of operation of the system and meeting the needs of different maintenance scenarios.

[0033] In this embodiment, an environmental monitoring master station 10 is also included. The environmental monitoring master station 10 communicates with the cloud platform 8 to aggregate environmental data and system operating status from each control cabinet 7 and display them uniformly. The environmental monitoring master station 10 establishes a communication link with the cloud platform 8, receives and aggregates environmental data such as temperature and humidity from each control cabinet 7 in real time, as well as system operating status information, and displays it in a unified visual manner. It relies on the data transmission capabilities of the cloud platform 8 to achieve centralized integration of multi-source data. The technical effect is that maintenance personnel can intuitively and comprehensively grasp the environmental and system operating status of all control cabinets 7, further improving the centralization and efficiency of maintenance management. In addition, the system uses a PID algorithm to adjust the operating status of the indoor unit 3 of each control cabinet 7. The PID algorithm performs proportional, integral, and derivative adjustments based on the deviation between the temperature and humidity data collected by the sensing layer and a preset threshold, generating precise control commands to quickly bring the operating status of the indoor unit 3 close to the ideal value, avoiding excessive temperature fluctuations. This achieves high-precision temperature control within the control cabinet 7, ensuring the operational stability of electronic components.

[0034] In this invention, the rated cooling capacity of the variable frequency outdoor unit 1 of the refrigeration system is 8-12kW, paired with 5 slim indoor units 3. Each indoor unit 3 has a cooling capacity of 1.5-2.5kW. The indoor units 3 are ultra-thin duct units with a thickness of ≤120mm, which can fit the installation space of the control cabinet 7. The number of indoor units 3 can be expanded to 8 units according to actual needs to meet the usage requirements of substations of different sizes. The temperature and humidity sensor 4 of the sensing layer has a measurement range of -40℃ to 85℃ and an accuracy of ±0.5℃ / ±3%RH. It adopts the Sensirion SHT30 temperature and humidity chip. The temperature detection device is connected to the control terminal, which is equipped with a display module that can display the temperature data of each control cabinet 7 and the system operating status in real time. The temperature detection device can also issue an alarm signal when the temperature is abnormal. The WiFi module 5 in the communication layer supports the IEEE 802.11b / g / n protocol and can also be replaced with a 5G communication module. The Bluetooth Mesh gateway enables automatic intelligent networking. The system uses the MQTT protocol to transmit temperature and humidity data and the GOOSE protocol to transmit control commands. The communication layer accesses the cloud platform 8 through the power grid APN and complies with the WAPI wireless LAN standard (T / CES 272-2024) for security certification. The WiFi antenna installation height must be ≥0.5m to ensure a signal strength >-75dBm and guarantee communication stability. The local wired controller in the control layer supports temperature settings from 16-30℃ and switching of operating modes. The remote control terminal 9 is a mobile APP with a real-time monitoring refresh rate ≤5s, enabling parameter adjustment. The system introduces an LSTM neural network to predict temperature change trends, allowing for advance adjustment of operating parameters. It also uses a PID algorithm to achieve high-precision temperature control, supports dual-machine hot standby, and employs a dual-TEC air conditioning control method to improve system reliability. The inspection system's high-definition camera 6 is 2 megapixels, supports infrared night vision and thermal imaging, and can rotate 350 degrees. It is installed at a 45° angle above the control cabinet 7, covering all electronic components. The distance between the indoor unit 3 and the control cabinet 7 must be ≥30cm to avoid electromagnetic interference affecting equipment operation. When the temperature and humidity inside any control cabinet 7 exceed the set threshold (default temperature >35℃ or humidity >65%), the system will trigger a three-level response: within 0-3 minutes, it will automatically adjust the operating frequency of the corresponding indoor unit 3; within 3-5 minutes, it will start the camera 6 in that area to perform 180° patrol shooting; if it exceeds 5 minutes, it will send a fault warning to the maintenance terminal. The warning information includes the abnormal area video stream and temperature and humidity curves, enabling rapid fault location through temperature and humidity-video linkage.

[0035] like Figure 1As shown, the inverter outdoor unit 1 is connected to multiple indoor units 3 via a branch pipe 2, forming a distributed refrigerant circulation network. The cold / hot airflow output by the inverter outdoor unit 1 is split by the branch pipe 2 and then precisely delivered by the indoor units 3 to the corresponding control cabinet 7. The temperature and humidity sensor 4 is installed inside the control cabinet 7 to collect temperature and humidity data in real time. The WiFi module 5 is integrated into the indoor unit 3 and serves as a communication carrier to upload the data from the temperature and humidity sensor 4 to the cloud platform 8 and receive control commands. The camera 6 is installed at a 45° angle above the control cabinet 7 and is triggered to take pictures when the temperature and humidity are abnormal. The remote control terminal 9 (mobile APP) obtains data and issues control commands through the cloud platform 8. The environmental monitoring master station 10 communicates with the cloud platform 8 to summarize the environmental data and system operating status of each control cabinet 7 and achieve centralized display. Figure 2 As shown, the control process includes three stages: data acquisition, logic judgment, and execution control. First, the data acquisition module acquires the temperature and humidity data collected by the temperature and humidity sensors 4 in each control cabinet 7 and transmits the data to the logic judgment module. The logic judgment module analyzes the data based on preset thresholds and time limits. Then, the judgment result is transmitted to the execution control module, which triggers a response based on the result: if the temperature and humidity are within the normal range, the current operating state of the indoor unit 3 is maintained; if the threshold is exceeded, an automatic adjustment command is first issued to the corresponding indoor unit 3; if the abnormality continues, a linkage is triggered, and a start inspection command is issued to the corresponding camera 6. At the same time, the execution control module synchronizes the status information to the background and the remote control terminal 9. The environmental monitoring master station 10 receives the aggregated data through the cloud platform 8, ultimately realizing a closed-loop control of "data acquisition - logic judgment - command execution - status feedback", achieving the functions of intelligent temperature control and centralized operation and maintenance.

[0036] During operation, the temperature and humidity sensors 4 in the sensing layer collect real-time temperature and humidity data from each control cabinet 7, which is then uploaded to the cloud platform 8 and the control layer via the communication layer. After receiving the data, the control layer analyzes and processes it using a PID algorithm. If the temperature and humidity are within the normal range, the current operating status of the indoor unit 3 is maintained. If the temperature exceeds the preset range, the control layer sends an operating parameter adjustment command to the corresponding indoor unit 3, precisely delivering cold or hot airflow through the distributed refrigerant circulation network to regulate the temperature inside the cabinet. If the humidity exceeds the preset range, the air drying system is activated and adaptively adjusts the dehumidification intensity. When the temperature and humidity data exceed the preset threshold, the camera 6 of the inspection system triggers recording, transmitting video data and abnormal records to the cloud platform 8. Maintenance personnel can operate the system on-site via a local wired controller or remotely view the system's operating status and issue control commands via a remote control terminal 9 that connects to the communication layer through the cloud platform 8. When a new control cabinet 7 is added to the substation, the system connection can be expanded using expansion pipelines. Overall, this system has enabled intelligent, precise, and remote temperature control of the control cabinet 7, effectively improving operation and maintenance efficiency, reducing energy consumption, and ensuring the safe and stable operation of the power system.

[0037] It should be noted that, in this invention, the distributed refrigerant circulation network refers to a refrigerant transmission network formed by connecting one variable frequency outdoor unit to multiple indoor units through a branch pipe, which can provide cold or hot airflow to multiple control cabinets respectively; the PID algorithm refers to the proportional-integral-derivative control algorithm, which outputs control quantity to achieve precise control of the controlled object by performing proportional, integral, and derivative operations on the deviation signal; the cloud platform refers to a remote network platform with data storage, processing, and transmission functions, used to realize the aggregation of system data and the forwarding of instructions; the sensing layer refers to the functional layer composed of various sensors, remote controllers, etc., used to collect environmental data and assist in equipment control; the communication layer refers to the functional layer used to establish data transmission links between each functional module and the cloud platform; and the control layer refers to the functional layer that receives sensing data and generates control commands to realize local and remote control. The rated cooling capacity of the inverter outdoor unit is 8-12kW; the indoor unit is an ultra-thin duct unit with a thickness of ≤120mm, with a single unit cooling capacity of 1.5-2.5kW, and the number can be expanded to 8 units; the temperature and humidity sensor uses the Sensirion SHT30 temperature and humidity chip, with a measurement range of -40℃~85℃ and an accuracy of ±0.5℃ / ±3%RH; the WiFi module supports IEEE 802.11b / g / n protocol, and the communication layer can also use a 5G communication module, and is also equipped with a Bluetooth Mesh gateway; the local wired controller supports temperature settings of 16-30℃; the remote control mobile APP has a real-time monitoring refresh rate of ≤5s; the high-definition camera is 2 megapixels, supporting infrared night vision, thermal imaging and 350-degree multi-angle rotation; the air filtration system includes at least two layers of filters; the system's default temperature and humidity abnormality thresholds are temperature >35℃ or humidity >65%; the WiFi antenna installation height is ≥0.5m, and the signal strength must be >-75dBm; the distance between the indoor unit and the control cabinet is ≥30cm.

[0038] The above technical features constitute the embodiments of the present invention, which have strong adaptability and implementation effect. Unnecessary technical features can be added or removed according to actual needs to meet the needs of different situations.

Claims

1. A centralized air conditioning control system for a substation control cabinet that is intelligent and remotely controllable, characterized in that, include: The variable frequency outdoor unit and at least two indoor units for temperature control of the corresponding control cabinet are connected by a branch pipe to form a distributed refrigerant circulation network, which is used to accurately deliver cold or hot air to each corresponding control cabinet to achieve temperature control inside the cabinet. The sensing layer is used to collect temperature and humidity environmental data in each control cabinet, providing data support for the operation and control of the indoor unit and assisting in the realization of the operation and control of the indoor unit. The communication layer is used to establish bidirectional communication links between the sensing layer and the cloud platform, and between the control layer and the cloud platform, enabling the uploading of temperature and humidity data to the cloud platform and the sending of air conditioning control commands to the indoor unit; The control layer receives temperature and humidity data from each control cabinet collected by the sensing layer, and performs local and remote operation parameter adjustments and overall system status control based on the data.

2. The intelligent, remotely controllable centralized air conditioning control system for substation control cabinets according to claim 1, characterized in that, The sensing layer includes temperature and humidity sensors and infrared remote controls. Each indoor unit is equipped with a temperature and humidity sensor and an infrared remote control. The temperature and humidity sensor is used to collect temperature and humidity data in the corresponding control cabinet, and the infrared remote control is used to assist in starting, stopping or switching modes of the indoor unit.

3. The intelligent, remotely controllable centralized air conditioning control system for substation control cabinets according to claim 1, characterized in that, It also includes an inspection system, in which each control cabinet is equipped with a camera. The camera is linked to the control layer and triggers shooting, video transmission and abnormal data recording when the temperature and humidity data of the corresponding control cabinet exceeds the preset threshold.

4. The intelligent, remotely controllable centralized air conditioning control system for substation control cabinets according to claim 1, 2, or 3, characterized in that, It also includes an air drying system, which is installed at the connection between the inverter outdoor unit and the branch pipeline. It is used to detect the humidity of the air conditioner output airflow and adaptively adjust the dehumidification intensity according to the detection results to keep the airflow humidity within a preset range.

5. The intelligent, remotely controllable centralized air conditioning control system for substation control cabinets according to claim 4, characterized in that, The air drying system includes a humidity detection element and a dehumidification component. The dehumidification component adjusts the dehumidification intensity based on the detection results of the humidity detection element.

6. The intelligent, remotely controllable centralized air conditioning control system for substation control cabinets according to claim 1, 2, 3, or 5, characterized in that, It also includes an air filtration system, which is installed at the air inlet of the inverter outdoor unit to filter impurities in the air entering the outdoor unit and purify the air intake environment.

7. The intelligent, remotely controllable centralized air conditioning control system for substation control cabinets according to claim 6, characterized in that, An air filtration system includes at least two filters, one for filtering particulate matter and the other for filtering harmful gases from the air.

8. The intelligent, remotely controllable centralized air conditioning control system for substation control cabinets according to claim 1, 2, 3, 5, or 7, characterized in that, It also includes expansion piping, with one end of the expansion piping sealed and connected to the inverter outdoor unit or main branch piping, and the other end closed, to adapt to the piping expansion needs of the newly added control cabinet.

9. The intelligent, remotely controllable centralized air conditioning control system for substation control cabinets according to claim 1, 2, 3, 5, or 7, characterized in that, The control layer includes a local wired controller and a remote control terminal. The local wired controller is connected to the internal electrical system, and the remote control terminal establishes a communication connection with the communication layer through the cloud platform to realize remote control functions.

10. The intelligent, remotely controllable centralized air conditioning control system for substation control cabinets according to claim 1, 2, 3, 5, or 7, characterized in that, It also includes an environmental monitoring master station, which communicates with the cloud platform to aggregate environmental data and system operating status from each control cabinet and display them uniformly.

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