Movable dehumidifier for pumped storage power station

Abstract

The invention discloses a movable dehumidifier for a pumped storage power station, and particularly relates to the technical field of pumped storage. The mobile basic operation module is used for being responsible for mobile control and basic function execution of equipment; the environment sensing network collaboration module is used for realizing real-time sensing of an external environment and data collaboration among multiple pieces of equipment through a sensor and network communication; and the core dehumidification energy management module is used for centralized management of the dehumidification process and energy consumption optimization. According to the invention, the mobile basic operation module realizes flexible deployment and stable operation of equipment in a complex terrain through a multi-axis driving and ground sensing technology; the environment sensing network cooperation module realizes real-time response to a power station environment and multi-device linkage optimization through multi-point sensor monitoring, distributed control and remote scheduling functions; the core dehumidification energy management module utilizes intelligent control and renewable energy, and combines condensate water treatment and strategy adjustment functions, so that the dehumidification efficiency is greatly improved, and the energy consumption is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of pumped storage, in particular to a mobile dehumidifier for a pumped storage power station. Background Art

[0002] As an important power storage technology, pumped storage power stations are widely used to balance grid loads, improve power system stability and economic benefits. However, since power stations are usually built in areas with high humidity such as mountainous areas and underground, their facilities and equipment are in high humidity environments for a long time, which is prone to corrosion, condensation and degradation of electrical equipment performance, posing a threat to the operating efficiency and equipment life of the power station. Therefore, dehumidification equipment has become a key facility for power station environmental maintenance. Although traditional dehumidification equipment can alleviate humidity problems in the use of pumped storage power stations, it is limited by the complex terrain conditions and special operating requirements of the power station, such as difficulties in equipment deployment, insufficient dehumidification efficiency and high energy consumption, and it is difficult to meet the high standards for environmental regulation in modern pumped storage power stations.

[0003] Existing dehumidification equipment still has obvious deficiencies in the actual application of pumped storage power stations. Most traditional dehumidification equipment is fixed in design and difficult to be flexibly deployed in the complex and changeable terrain environment of the power station, especially in areas with large terrain fluctuations or limited space. The equipment mobility and operation stability are poor. Existing equipment usually adopts a single mode of operation and lacks the ability to interact with the power station environment in real time. It is impossible to adjust the operation strategy in time according to the dynamic changes in humidity, resulting in low dehumidification efficiency. These devices also have problems in energy consumption management, such as the lack of real-time monitoring and analysis of energy consumption data, resulting in serious energy waste, which is not conducive to the realization of the overall energy saving goals of the power station. The existing equipment has a relatively simple way to handle condensed water, which fails to make full use of condensed water resources and increases the environmental burden. Therefore, we provide mobile dehumidifiers for pumped storage power stations. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a mobile dehumidifier for a pumped storage power station.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A mobile dehumidifier for a pumped storage power station includes a mobile basic operation module for controlling the movement of the equipment and executing basic functions, an environment perception network coordination module for achieving real-time perception of the external environment and data coordination among multiple devices through sensors and network communications, a core dehumidification energy management module for centralized management of the dehumidification process and energy consumption optimization, and a safety auxiliary management module for providing system security assurance and supportive management functions.

[0007] The present invention is further configured as follows: the mobile basic operation module includes a multi-axis drive power distribution module for managing the power output and coordinating the distribution of multi-wheel or track drive power during the movement of the dehumidifier, a ground sensing intelligent obstacle avoidance module for identifying obstacles and ground conditions through sensors such as laser radar or ultrasonic waves, a modular vehicle body connection module for using a pluggable vehicle body or support structure, and a posture correction and stabilization module for monitoring the body posture and performing automatic leveling in the case of uneven terrain or body vibration;

[0008] The environmental perception network collaboration module includes a multi-point micro-environment monitoring module for sensor networks deployed in different areas of the power station, a distributed collaborative control module for connecting to the Internet of Things or field bus of the power station, a remote access dynamic scheduling module for supporting operation and maintenance personnel to remotely start and stop, adjust parameters and schedule the dehumidifier through mobile phones or computers, a data gateway protocol translation module for connecting to different industrial protocols to realize data exchange and protocol-compatible data between the dehumidifier control system and the power station SCADA or cloud platform, and a predictive demand analysis module for using environmental data and power station operation plans to estimate potential humidity needs or risk points and provide advisory control plans for decision-makers.

[0009] The present invention is further configured as follows: the core dehumidification energy management module includes an intelligent dehumidification core control module for controlling the compressor, fan, and condensation key components inside the dehumidifier according to real-time environmental data and equipment sensor information to realize dehumidification operation under multiple working conditions, a renewable energy utilization module for obtaining electricity or heat energy from the water conservancy or surplus energy system of the power station when conditions permit, so as to collaboratively improve the energy efficiency of the dehumidifier or assist certain functions, a residual condensate processing module for collecting, filtering and properly discharging or recycling condensed water generated during the dehumidification process, an adaptive dehumidification strategy library module for storing and automatically switching multiple dehumidification strategies with environmental changes, and an energy consumption monitoring efficiency scheduling module for real-time recording the energy consumption level of the dehumidification system and dynamically adjusting the power output through analysis;

[0010] The safety auxiliary management module includes a real-time fault detection self-diagnosis module for detecting and diagnosing faults of key components using sensors and internal algorithms, an emergency power supply and power-off safety module for providing emergency power when the external power supply is abnormal, which can achieve short-term maintenance, or orderly shutdown when necessary to protect core components from damage, a safety protection isolation module for safely isolating high-voltage or high-temperature parts and performing network security monitoring of signal channels, an automatic alarm linkage module for warning of abnormal temperature, humidity, component failure, etc. through sound, light or remote notification, and can link other equipment to coordinate responses, and a data audit maintenance log module for regularly recording various system operating parameters and maintenance operation information to facilitate subsequent tracking and analysis, and meet the management needs of the power station in terms of auditing, quality control, etc.

[0011] The present invention is further configured as follows: the energy consumption monitoring efficiency scheduling module includes a real-time data acquisition module for collecting real-time energy consumption data through industrial-grade sensors and control interfaces, a data cleaning and correction module for performing denoising, missing data completion and outlier elimination, a key performance indicator extraction module for extracting key performance indicators from the cleaned data, and an energy consumption status judgment module for classifying and judging the energy consumption status according to a preset threshold or based on the output of a machine learning model.

[0012] The present invention is further configured as follows: the real-time data acquisition module acquires real-time energy consumption data during the operation of the equipment through industrial-grade sensors and control interfaces, and transmits the acquired raw data to a data cleaning and correction module for processing; the data cleaning and correction module performs denoising, missing data completion and outlier elimination on the raw data transmitted by the real-time data acquisition module, and transmits the processed high-quality data to a key performance indicator extraction module; the key performance indicator extraction module extracts key performance indicators related to energy consumption from the high-quality data transmitted by the data cleaning and correction module, and transmits the extracted indicator data to an energy consumption status judgment module.

[0013] The present invention is further configured as follows: the multi-axis drive power distribution module controls the movement of the driving force distribution control device by coordinating multiple wheels or tracks, and transmits ground data to the ground sensing intelligent obstacle avoidance module for obstacle and ground condition identification; the ground sensing intelligent obstacle avoidance module identifies obstacles and ground conditions through laser radar or ultrasonic sensors, and transmits the identification results to the modular body connection module to assist in achieving stable connection or adjustment of the body; the modular body connection module completes the assembly of the pluggable structure according to the body connection requirements, and transmits the connected body information to the attitude correction and stabilization module for attitude leveling and stability monitoring.

[0014] The present invention is further configured as follows: the multi-point micro-environment monitoring module collects environmental data of different areas of the power station through a deployed sensor network, and passes the data to a distributed collaborative control module for collaborative control; the distributed collaborative control module realizes distributed control by connecting to the Internet of Things or field bus of the power station, and passes control instructions and status information to a remote access dynamic scheduling module to support remote operation; the remote access dynamic scheduling module executes remote operation of the device through a mobile terminal, and passes the remote control signal to a data gateway protocol translation module to achieve protocol compatibility; the data gateway protocol translation module translates data of different industrial protocols, and passes the translated data to a predictive demand analysis module for potential humidity demand or risk point analysis.

[0015] The present invention is further configured as follows: the intelligent dehumidification core control module controls the operation of key components of the dehumidifier according to real-time environmental data, and transmits power demand information to the renewable energy utilization module to collaboratively improve energy efficiency; the renewable energy utilization module obtains energy from the power station system and assists the operation of the dehumidifier, and transmits the condensate information generated during the operation to the residual condensate processing module for recovery or discharge; the residual condensate processing module completes the collection and processing of the condensate, and transmits the condensate processing data to the adaptive dehumidification strategy library module to assist in strategy adjustment; the adaptive dehumidification strategy library module stores and switches different dehumidification strategies, and transmits the strategy adjustment data to the energy consumption monitoring efficiency scheduling module for energy consumption optimization.

[0016] The present invention is further configured as follows: the real-time fault detection self-diagnosis module performs fault diagnosis on key components of the equipment, and transmits the diagnosis results to the emergency power supply power-off safety module to determine whether the emergency power supply needs to be enabled; the emergency power supply power-off safety module provides short-term power support when the power supply is abnormal, and transmits the power supply status information to the safety protection isolation module to implement necessary isolation measures; the safety protection isolation module isolates high voltage or high temperature parts and monitors network security, and transmits the abnormal information to the automatic alarm linkage module for warning and linkage; the automatic alarm linkage module warns of the abnormal state and triggers a linkage response, and transmits the response data to the data audit maintenance log module for recording and subsequent analysis.

[0017] The beneficial effects of the present invention are:

[0018] 1. In the present invention, the mobile basic operation module realizes flexible deployment and stable operation of equipment in complex terrain through multi-axis drive and ground sensing technology; the environmental perception network collaboration module realizes real-time response to the power station environment and multi-device linkage optimization through multi-point sensor monitoring, distributed control and remote scheduling functions; the core dehumidification energy management module uses intelligent control and renewable energy, combined with condensate treatment and strategy adjustment functions, to greatly improve dehumidification efficiency and reduce energy consumption.

[0019] 2. The present invention uses industrial-grade sensors and control interfaces through a real-time data acquisition module to collect real-time energy consumption data during equipment operation, and passes the original data to a data cleaning and correction module for processing. The data cleaning and correction module generates high-quality data through denoising, missing data completion, and outlier elimination, and passes it to a key performance indicator extraction module. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the system modules in the present invention.

[0021] Figure 2It is a schematic diagram of the flow of the energy consumption monitoring efficiency scheduling module in the present invention. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0023] Example 1

[0024] like Figure 1 As shown, a mobile dehumidifier for a pumped storage power station includes a mobile basic operation module for controlling the movement of the equipment and executing basic functions, an environment perception network coordination module for realizing real-time perception of the external environment and data coordination among multiple devices through sensors and network communications, a core dehumidification energy management module for centralized management of the dehumidification process and energy consumption optimization, and a safety auxiliary management module for providing system security and supportive management functions;

[0025] The mobile base operation module includes a multi-axis drive power distribution module for managing the power output and coordinating the distribution of multi-wheel or track drive power during the movement of the dehumidifier, a ground sensing intelligent obstacle avoidance module for identifying obstacles and ground conditions through sensors such as laser radar or ultrasonic waves, a modular vehicle body connection module for using a pluggable vehicle body or support structure, and a posture correction and stabilization module for monitoring the body posture and performing automatic leveling in the case of uneven terrain or body vibration;

[0026] The environmental perception network collaboration module includes a multi-point micro-environment monitoring module for sensor networks deployed in different areas of the power station, a distributed collaborative control module for connecting to the Internet of Things or field bus of the power station, a remote access dynamic scheduling module for supporting operation and maintenance personnel to remotely start and stop the dehumidifier, adjust parameters and schedule planning through mobile phones or computers, a data gateway protocol translation module for connecting to different industrial protocols to achieve data exchange and protocol compatibility between the dehumidifier control system and the power station SCADA or cloud platform, and a predictive demand analysis module for using environmental data and power station operation plans to estimate potential humidity requirements or risk points and provide advisory control plans for decision-makers;

[0027] The core dehumidification energy management module includes an intelligent dehumidification core control module for controlling the compressor, fan, and condensation key components inside the dehumidifier according to real-time environmental data and equipment sensor information to achieve dehumidification operation under multiple working conditions, a renewable energy utilization module for obtaining electricity or heat energy from the water conservancy or surplus energy system of the power station when conditions permit, so as to collaboratively improve the energy efficiency of the dehumidifier or assist certain functions, a residual condensate processing module for collecting, filtering and properly discharging or recycling condensed water generated during the dehumidification process, an adaptive dehumidification strategy library module for storing and automatically switching multiple dehumidification strategies as the environment changes, and an energy consumption monitoring efficiency scheduling module for real-time recording the energy consumption level of the dehumidification system and dynamically adjusting the power output through analysis;

[0028] The safety auxiliary management module includes a real-time fault detection self-diagnosis module for detecting and diagnosing faults of key components using sensors and internal algorithms, an emergency power supply and power-off safety module for providing emergency power when the external power supply is abnormal, which can achieve short-term maintenance, or orderly shutdown when necessary to protect core components from damage, a safety protection isolation module for safely isolating high-voltage or high-temperature parts and performing network security monitoring of signal channels, an automatic alarm linkage module for warning of abnormal temperature, humidity, component failure, etc. through sound and light or remote notification, and can link other equipment to coordinate and respond, and a data audit maintenance log module for regularly recording various system operating parameters and maintenance operation information to facilitate subsequent tracking and analysis, and meet the management needs of the power station in terms of auditing, quality control, etc.;

[0029] The multi-axis driving power distribution module controls the movement of the driving force distribution control device by coordinating multiple wheels or tracks, and transmits ground data to the ground sensing intelligent obstacle avoidance module for obstacle and ground condition identification; the ground sensing intelligent obstacle avoidance module identifies obstacles and ground conditions through laser radar or ultrasonic sensors, and transmits the identification results to the modular vehicle body connection module to assist in achieving stable connection or adjustment of the vehicle body; the modular vehicle body connection module completes the assembly of the pluggable structure according to the vehicle body connection requirements, and transmits the connected vehicle body information to the attitude correction and stabilization module for attitude leveling and stability monitoring;

[0030] The multi-point micro-environment monitoring module collects environmental data from different areas of the power station through the deployed sensor network, and transmits the data to the distributed collaborative control module for collaborative control; the distributed collaborative control module realizes distributed control by connecting to the Internet of Things or field bus of the power station, and transmits control instructions and status information to the remote access dynamic scheduling module to support remote operation; the remote access dynamic scheduling module performs remote operation of the device through a mobile terminal, and transmits the remote control signal to the data gateway protocol translation module to achieve protocol compatibility; the data gateway protocol translation module translates data of different industrial protocols, and transmits the translated data to the predictive demand analysis module for potential humidity demand or risk point analysis;

[0031] The intelligent dehumidification core control module controls the operation of key components of the dehumidifier according to real-time environmental data, and transmits power demand information to the renewable energy utilization module to collaboratively improve energy efficiency; the renewable energy utilization module obtains energy from the power station system and assists the operation of the dehumidifier, and transmits the condensate information generated during the operation to the residual condensate processing module for recovery or discharge; the residual condensate processing module completes the collection and processing of the condensate, and transmits the condensate processing data to the adaptive dehumidification strategy library module to assist in strategy adjustment; the adaptive dehumidification strategy library module stores and switches different dehumidification strategies, and transmits the strategy adjustment data to the energy consumption monitoring efficiency scheduling module for energy consumption optimization;

[0032] The real-time fault detection self-diagnosis module performs fault diagnosis on key components of the equipment, and passes the diagnosis results to the emergency power supply power-off safety module to determine whether emergency power supply needs to be enabled; the emergency power supply power-off safety module provides short-term power support when the power supply is abnormal, and passes the power supply status information to the safety protection isolation module to implement necessary isolation measures; the safety protection isolation module isolates high-voltage or high-temperature parts and monitors network security, and passes the abnormal information to the automatic alarm linkage module for warning and linkage; the automatic alarm linkage module warns of abnormal status and triggers a linkage response, and passes the response data to the data audit maintenance log module for recording and subsequent analysis.

[0033] In the above embodiments, the mobile basic operation module realizes flexible deployment and stable operation of equipment in complex terrain through multi-axis drive and ground sensing technology; the environmental perception network collaboration module realizes real-time response to the power station environment and multi-device linkage optimization through multi-point sensor monitoring, distributed control and remote scheduling functions; the core dehumidification energy management module utilizes intelligent control and renewable energy, combined with condensate treatment and strategy adjustment functions, to greatly improve the dehumidification efficiency and reduce energy consumption; the safety auxiliary management module comprehensively guarantees the reliability and safety of the equipment through fault diagnosis, emergency power supply, safety isolation and automatic alarm functions. The overall system integrates multiple functions such as flexible movement, efficient dehumidification, energy saving and environmental protection, and safety assurance, which effectively improves the efficiency and stability of power station operation, while reducing operating costs and environmental impact.

[0034] Example 2

[0035] like Figure 1-2 As shown, a mobile dehumidifier for a pumped storage power station, the energy consumption monitoring efficiency scheduling module includes a real-time data acquisition module for collecting real-time energy consumption data through industrial-grade sensors and control interfaces, a data cleaning and correction module for performing denoising, missing data completion and outlier removal, a key performance indicator extraction module for extracting key performance indicators from the cleaned data, and an energy consumption state judgment module for classifying and judging the energy consumption state according to a preset threshold or based on the output of a machine learning model;

[0036] The real-time data acquisition module collects real-time energy consumption data during the operation of the equipment through industrial-grade sensors and control interfaces, and passes the collected raw data to the data cleaning and correction module for processing; the data cleaning and correction module performs denoising, missing data completion and outlier removal on the raw data transmitted by the real-time data acquisition module, and passes the processed high-quality data to the key performance indicator extraction module; the key performance indicator extraction module extracts key performance indicators related to energy consumption from the high-quality data transmitted by the data cleaning and correction module, and passes the extracted indicator data to the energy consumption status judgment module.

[0037] In the above embodiment, the real-time data acquisition module uses industrial-grade sensors and control interfaces to collect real-time energy consumption data during the operation of the equipment, and passes the original data to the data cleaning and correction module for processing. The data cleaning and correction module generates high-quality data through denoising, missing data completion and outlier removal, and passes it to the key performance indicator extraction module. The key performance indicator extraction module extracts key indicators related to energy consumption from high-quality data and passes them to the energy consumption status judgment module, which divides the energy consumption status into four situations: high energy consumption, medium energy consumption, low energy consumption and abnormal status based on preset thresholds or machine learning models, and triggers corresponding feedback mechanisms and intervention measures for different states.

[0038] The energy consumption status judgment module divides the energy consumption into four situations according to the energy consumption situation. The four judgment branches and intervention measures are described as follows:

[0039] 1. High energy consumption

[0040] Feedback generation: reduce equipment power, optimize operating modes; limit non-critical function operations;

[0041] User visualization: high energy consumption alarm, prompting users to check load status immediately;

[0042] Data storage: record high energy consumption operation status and analyze the reasons (overload or abnormal operation);

[0043] Intervention A:

[0044] Reduce compressor load and optimize dehumidification mode;

[0045] Stop auxiliary equipment from running to reduce extra power consumption.

[0046] 2. Medium energy consumption

[0047] Feedback generation: maintain the current operating state and perform appropriate optimization;

[0048] User visualization: prompts users to choose to further tune parameters;

[0049] Data storage: Recorded as acceptable status, needs to be observed regularly;

[0050] Intervention B:

[0051] Slightly adjust the fan speed or refrigerant flow;

[0052] Observe trends and avoid states escalating to high energy consumption.

[0053] 3. Low energy consumption

[0054] Feedback generation: No special action, keep the current state;

[0055] User visualization: prompts that the operation is normal and no additional intervention is required;

[0056] Data storage: Archive data only for future analysis;

[0057] Intervention C:

[0058] Regular audits to ensure consistent energy consumption levels;

[0059] No other intervention measures were taken.

[0060] 4. Abnormal status

[0061] Feedback generation: trigger emergency shutdown or safety mode; send operation and maintenance notifications;

[0062] User visualization: high priority alarms, requiring user intervention;

[0063] Data storage: record abnormal data in detail for subsequent troubleshooting;

[0064] Intervention D:

[0065] Start emergency power supply or backup equipment;

[0066] Notify the on-site operation and maintenance team to inspect the equipment.

[0067] Working principle: When the present invention is in use, the mobile basic operation module uses multi-axis drive power distribution and ground sensing intelligent obstacle avoidance technology to achieve stable movement of the equipment in complex terrain; the environmental perception network coordination module accurately perceives the power station environment and realizes remote control through multi-point sensor monitoring and remote dynamic scheduling functions; the core dehumidification energy management module significantly improves dehumidification efficiency and reduces energy consumption through intelligent core control and renewable energy utilization; the safety auxiliary management module ensures the safety of system operation through fault diagnosis, emergency power supply and automatic alarm functions. These functions work together to enable the equipment to flexibly adapt to complex power station environments, optimize operating efficiency, and reduce operating costs.

[0068] The real-time data acquisition module uses industrial-grade sensors to collect energy consumption data of equipment operation, and passes it to the data cleaning and correction module for denoising, completion and outlier removal to generate high-quality data. Subsequently, the key performance indicator extraction module extracts the core indicators related to energy consumption from the cleaned data and passes it to the energy consumption status judgment module, which classifies the energy consumption status according to the preset threshold or machine learning model (such as high energy consumption, medium energy consumption, low energy consumption and abnormal status) and triggers the corresponding feedback mechanism. For example, in the high energy consumption state, the system will optimize the operating mode and limit non-critical functions; in the abnormal state, the system will automatically trigger the shutdown or emergency safety mode, and notify the operation and maintenance personnel.

[0069] The application of the energy consumption monitoring efficiency scheduling module not only realizes the accurate classification and dynamic adjustment of energy consumption status, but also effectively reduces the overall energy consumption level of equipment operation through the feedback mechanism. Under high energy consumption conditions, the module effectively reduces the risk of equipment overload by adjusting the compressor load, stopping the operation of auxiliary equipment, and other measures; under medium energy consumption conditions, the module performs moderate optimization to avoid energy consumption status upgrades; under low energy consumption conditions, it maintains operational stability; and under abnormal conditions, the module can trigger an emergency shutdown to protect the equipment from further damage. This design fully reflects the beneficial effects of the module in energy saving and consumption reduction, extending equipment life, and improving operational safety. It ultimately provides an efficient, safe, and reliable dehumidification solution for power stations, while effectively reducing environmental impact and maintenance costs.

[0070] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A mobile dehumidifier for a pumped storage power station, characterized in that: It includes a mobile basic operation module responsible for the mobile control and basic function execution of the equipment, an environmental perception network collaboration module used to achieve real-time perception of the external environment and data collaboration among multiple devices through sensors and network communications, a core dehumidification energy management module used to centrally manage the dehumidification process and optimize energy consumption, and a security auxiliary management module used to provide system security assurance and supportive management functions.

2. The mobile dehumidifier for a pumped storage power station according to claim 1, characterized in that: The mobile base operation module includes a multi-axis drive power distribution module for managing the power output and coordinating the distribution of multi-wheel or track drive power during the movement of the dehumidifier, a ground sensing intelligent obstacle avoidance module for identifying obstacles and ground conditions through sensors such as laser radar or ultrasonic waves, a modular vehicle body connection module for using a pluggable vehicle body or support structure, and a posture correction and stabilization module for monitoring the body posture and performing automatic leveling in the case of uneven terrain or body vibration; The environmental perception network collaboration module includes a multi-point micro-environment monitoring module for sensor networks deployed in different areas of the power station, a distributed collaborative control module for connecting to the Internet of Things or field bus of the power station, a remote access dynamic scheduling module for supporting operation and maintenance personnel to remotely start and stop, adjust parameters and schedule the dehumidifier through mobile phones or computers, a data gateway protocol translation module for connecting to different industrial protocols to realize data exchange and protocol-compatible data between the dehumidifier control system and the power station SCADA or cloud platform, and a predictive demand analysis module for using environmental data and power station operation plans to estimate potential humidity needs or risk points and provide advisory control plans for decision-makers.

3. The mobile dehumidifier for a pumped storage power station according to claim 1, characterized in that: The core dehumidification energy management module includes an intelligent dehumidification core control module for controlling the compressor, fan, and condensation key components inside the dehumidifier according to real-time environmental data and equipment sensor information to achieve dehumidification operation under multiple working conditions, a renewable energy utilization module for obtaining electricity or heat energy from the water conservancy or surplus energy system of the power station when conditions permit, so as to collaboratively improve the energy efficiency of the dehumidifier or assist certain functions, a residual condensate processing module for collecting, filtering and properly discharging or recycling condensed water generated during the dehumidification process, an adaptive dehumidification strategy library module for storing and automatically switching multiple dehumidification strategies as the environment changes, and an energy consumption monitoring efficiency scheduling module for real-time recording the energy consumption level of the dehumidification system and dynamically adjusting the power output through analysis; The safety auxiliary management module includes a real-time fault detection self-diagnosis module for detecting and diagnosing faults of key components using sensors and internal algorithms, an emergency power supply and power-off safety module for providing emergency power when the external power supply is abnormal, which can achieve short-term maintenance, or orderly shutdown when necessary to protect core components from damage, a safety protection isolation module for safely isolating high-voltage or high-temperature parts and performing network security monitoring of signal channels, an automatic alarm linkage module for warning of abnormal temperature, humidity, component failure, etc. through sound, light or remote notification, and can link other equipment to coordinate responses, and a data audit maintenance log module for regularly recording various system operating parameters and maintenance operation information to facilitate subsequent tracking and analysis, and meet the management needs of the power station in terms of auditing, quality control, etc.

4. The mobile dehumidifier for a pumped storage power station according to claim 2, characterized in that: The energy consumption monitoring efficiency scheduling module includes a real-time data acquisition module for collecting real-time energy consumption data through industrial-grade sensors and control interfaces, a data cleaning and correction module for performing denoising, missing data completion and outlier elimination, a key performance indicator extraction module for extracting key performance indicators from the cleaned data, and an energy consumption status judgment module for classifying and judging the energy consumption status according to a preset threshold or based on the output of a machine learning model.

5. The mobile dehumidifier for a pumped storage power station according to claim 4, characterized in that: The real-time data acquisition module collects real-time energy consumption data during the operation of the equipment through industrial-grade sensors and control interfaces, and passes the collected raw data to the data cleaning and correction module for processing; the data cleaning and correction module performs denoising, missing data completion and outlier removal on the raw data transmitted by the real-time data acquisition module, and passes the processed high-quality data to the key performance indicator extraction module; the key performance indicator extraction module extracts key performance indicators related to energy consumption from the high-quality data transmitted by the data cleaning and correction module, and passes the extracted indicator data to the energy consumption status judgment module.

6. The mobile dehumidifier for a pumped storage power station according to claim 2, characterized in that: The multi-axis drive power distribution module controls the movement of the driving force distribution control device by coordinating multiple wheels or tracks, and transmits ground data to the ground sensing intelligent obstacle avoidance module for obstacle and ground condition identification; the ground sensing intelligent obstacle avoidance module identifies obstacles and ground conditions through lidar or ultrasonic sensors, and transmits the identification results to the modular body connection module to assist in achieving stable connection or adjustment of the body; the modular body connection module completes the assembly of the pluggable structure according to the body connection requirements, and transmits the connected body information to the attitude correction and stabilization module for attitude leveling and stability monitoring.

7. The mobile dehumidifier for a pumped storage power station according to claim 2, characterized in that: The multi-point micro-environment monitoring module collects environmental data from different areas of the power station through the deployed sensor network, and passes the data to the distributed collaborative control module for collaborative control; the distributed collaborative control module realizes distributed control by connecting to the Internet of Things or field bus of the power station, and passes control instructions and status information to the remote access dynamic scheduling module to support remote operation; the remote access dynamic scheduling module performs remote operation of the device through a mobile terminal, and passes the remote control signal to the data gateway protocol translation module to achieve protocol compatibility; the data gateway protocol translation module translates data from different industrial protocols, and passes the translated data to the predictive demand analysis module for potential humidity demand or risk point analysis.

8. The mobile dehumidifier for a pumped storage power station according to claim 3, characterized in that: The intelligent dehumidification core control module controls the operation of key components of the dehumidifier according to real-time environmental data, and passes the power demand information to the renewable energy utilization module to jointly improve energy efficiency; the renewable energy utilization module obtains energy from the power station system and assists the operation of the dehumidifier, and passes the condensate information generated during the operation to the residual condensate processing module for recovery or discharge; the residual condensate processing module completes the collection and processing of the condensate, and passes the condensate processing data to the adaptive dehumidification strategy library module to assist in strategy adjustment; the adaptive dehumidification strategy library module stores and switches different dehumidification strategies, and passes the strategy adjustment data to the energy consumption monitoring efficiency scheduling module for energy consumption optimization.

9. The mobile dehumidifier for a pumped storage power station according to claim 3, characterized in that: The real-time fault detection self-diagnosis module performs fault diagnosis on key components of the equipment, and passes the diagnosis results to the emergency power supply power-off safety module to determine whether emergency power supply needs to be enabled; the emergency power supply power-off safety module provides short-term power support when the power supply is abnormal, and passes the power supply status information to the safety protection isolation module to implement necessary isolation measures; the safety protection isolation module isolates high-voltage or high-temperature parts and monitors network security, and passes the abnormal information to the automatic alarm linkage module for warning and linkage; the automatic alarm linkage module warns of abnormal status and triggers a linkage response, and passes the response data to the data audit maintenance log module for recording and subsequent analysis.

Images