Big data center system of pumped storage power station

Abstract

The invention relates to a big data center system of a pumped storage power station, and the system comprises the steps: the big data center system is disposed at the bottom of a reservoir in a preset range of the pumped storage power station, and at least comprises a server; the pumped storage power station is connected with the big data center system through an underwater cable and is used for providing a power supply and data for the big data center system; the reservoir is used for providing a constant low-temperature external environment and an internal cooling medium for the big data center system; and the big data center system is used for at least providing calculation service for the pumped storage power station. By adopting the system, the power consumption required by deployment of the big data center system can be reduced.

Description

Technical Field

[0001] The present application relates to the field of power grid technology, and in particular to a big data center system for a pumped storage power station. Background Art

[0002] At present, in order to uniformly store and manage power data, it is crucial to deploy a big data center system.

[0003] Traditionally, big data center systems are typically deployed in factory buildings, which include servers, storage devices, network equipment (such as switches and routers), power supply systems, and cooling systems (such as air conditioners). The cooling system primarily dissipates heat. However, this method of dissipating heat from big data center systems through cooling systems consumes a large amount of electricity, resulting in high power consumption for big data center deployments. Summary of the Invention

[0004] Based on this, it is necessary to address the above technical issues and provide a big data center system for a pumped storage power station that can reduce the power consumption required for the deployment of the big data center system.

[0005] The present application provides a big data center system for a pumped-storage power station, which is deployed at the bottom of a reservoir within a preset range of the pumped-storage power station and includes at least one server; the pumped-storage power station is connected to the big data center system via an underwater cable, which is used to provide power and data for the big data center system; the reservoir is used to provide a constant low-temperature external environment and internal cooling medium for the big data center system; and the big data center system is used to provide computing services at least for the pumped-storage power station.

[0006] In one embodiment, the big data center system is installed in an airtight container, and the container is deployed at the bottom of the reservoir.

[0007] In one embodiment, one or more handling robots are provided on the outside of the container;

[0008] The transport robot is provided with a control device that enables the transport robot to float up and sink, which is used to control the transport robot to transport the container or the server from the water surface to the bottom of the water; the control mode of the transport robot is automatic control mode or manual control mode.

[0009] In one embodiment, the container is further provided with an environmental maintenance system on the outside;

[0010] The environment maintaining system is used to maintain constant temperature and humidity inside and outside the container.

[0011] In one embodiment, a fault detection device is provided inside the container;

[0012] The fault detection device is used to detect whether the server has a fault and send a fault detection report of the server to a terminal associated with the big data center system.

[0013] In one embodiment, an alarm device connected to the fault detection device is further provided inside the container;

[0014] The fault detection device is used to trigger the alarm device to sound an alarm when a fault is detected in the server.

[0015] In one embodiment, at least one inspection robot is further provided inside the container;

[0016] The inspection robot is used to control the mechanical arm of the inspection robot to perform maintenance on the server when the fault detection equipment triggers the alarm of the alarm device; the control mode of the inspection robot is automatic control mode or manual control mode.

[0017] In one embodiment, the inspection robot is equipped with a camera;

[0018] The inspection robot is used to control the camera to photograph the server, and perform physical inspection on the server based on the photographed image, or upload the photographed image to a terminal associated with the big data center system.

[0019] In one embodiment, the container is further provided with a first transition compartment;

[0020] The transport robot is further configured to detect a target object in the container within the reservoir, place the target object into a second transition compartment of the transport robot, and establish a passage corresponding to the first transition compartment and the second transition compartment; the target object includes at least a new server;

[0021] The inspection robot is also used to obtain the target object through the channel, use the target object to replace the current object, and place the current object into the transition cabin so that the transport robot removes the current object; the current object includes at least the server that needs to be replaced.

[0022] In one embodiment, a fire protection system is also provided inside the container;

[0023] The fire protection system is used to perform corresponding fire extinguishing measures in the event of a fire inside the container;

[0024] The inspection robot is also used to repair the interior of a container after a fire occurs.

[0025] The aforementioned pumped-storage power station big data center system is designed to deploy the big data center system at the bottom of a reservoir within a predetermined area of ​​the pumped-storage power station. The big data center system includes at least one server, and the pumped-storage power station and the big data center system are connected by an underwater cable to provide power and data to the big data center system. The reservoir provides a constant low-temperature external environment and internal cooling medium for the big data center system, and the big data center system provides computing services for the pumped-storage power station. This utilizes the relatively stable and low temperature natural environment within the reservoir to provide a relatively cool environment for the big data center system, reducing the energy consumption of air conditioners and other refrigeration equipment used to cool the servers. This allows the big data center system to eliminate the need for a cooling system, further reducing the power consumption required for the deployment of the big data center system. Furthermore, the pumped-storage power station is directly connected to the big data center system to provide power. This local power supply method reduces line losses during power transmission, allowing the big data center to obtain power more efficiently, thereby eliminating the need for a power supply system and further reducing the power consumption required for the deployment of the big data center system. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 Schematic diagram of a big data center system in a pumped storage power station in one embodiment. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0029] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0030] In existing technology, big data center systems are typically deployed in factory buildings and include servers, storage devices, network equipment (such as switches and routers), power supply systems (such as uninterruptible power supplies (UPSs)), and cooling systems (such as air conditioning systems). The power supply system (such as the UPS) is used to power the big data center system, while the cooling system (such as the air conditioning system) primarily dissipates heat. However, the power supply system (such as the UPS) involves two energy conversion processes (for example, after receiving AC power, the rectifier converts AC power to DC power to charge the battery and simultaneously power the inverter, which then converts DC power to AC power to power the load). This results in high power consumption. Furthermore, during the cooling process (such as the air conditioning system), to maintain a stable temperature in the computer room, the air conditioner often needs to run continuously year-round, which consumes a large amount of electricity resources and leads to high power consumption required for big data center system deployment.

[0031] Therefore, the present application provides a big data center system for a pumped-storage power station, wherein the big data center system is deployed inside a reservoir within a preset range of the pumped-storage power station and includes at least one server. The pumped-storage power station is connected to the big data center system to provide power for the big data center system. The big data center system is used to provide computing services for the pumped-storage power station. The pumped-storage power station has a stable power output. By connecting to it, the big data center system can directly obtain power to meet the power needs of servers and other equipment in the big data center system, thereby eliminating the construction and maintenance costs of traditional power supply systems. Moreover, the servers of the big data center will generate a large amount of heat during operation. The constant temperature and humidity environment of the reservoir can naturally dissipate the heat generated by the servers, so that the servers are in a more suitable temperature range, thereby eliminating the need for traditional cooling systems. Therefore, the big data center system can eliminate the need for traditional power supply systems and cooling systems, thereby effectively reducing the power consumption required for the deployment of the big data center system.

[0032] In an exemplary embodiment, Figure 1 As shown, a big data center system 101 for a pumped-storage power station is provided. Big data center system 101 is deployed at the bottom of a reservoir 103 within a preset range of a pumped-storage power station 102 and includes at least one server 104. Pumped-storage power station 102 and big data center system 101 are connected via an underwater cable, which provides power and data to big data center system 101. The reservoir provides a constant low-temperature external environment and internal cooling medium for the big data center system. Big data center system 101 is used to provide computing services for at least pumped-storage power station 102.

[0033] The big data center system 101 refers to a comprehensive system for storing, managing and processing a large amount of power data.

[0034] The pumped storage power station 102 refers to a hydropower station for providing power and data to the big data center system 101. The data here at least includes power data associated with the pumped storage power station 102.

[0035] Among them, reservoir 103 refers to a reservoir that can accommodate the big data center system 101, and the water quality near reservoir 103 is stable, which can provide a lower and less fluctuating water temperature for the big data center system 101, thereby providing a cooling effect for the big data center system 101.

[0036] The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0037] Among them, the low-temperature external environment refers to a lower water temperature with less fluctuation, and the internal cooling medium refers to water with stable water quality.

[0038] By way of example, big data center system 101 is deployed within a reservoir 103, 100 meters from a pumped-storage power station 102, and includes only one server 104. Pumped-storage power station 102 and big data center system 101 are connected via an underwater cable, providing power and data to big data center system 101. Reservoir 103 provides a constant low-temperature external environment and internal cooling medium for big data center system 101. Big data center system 101, configured with server 104 associated with pumped-storage power station 102, not only provides computing services for pumped-storage power station 102 but also for other systems (such as the power system) or other enterprises (such as power companies).

[0039] In this embodiment, a big data center system 101 is deployed at the bottom of a reservoir 103 within a preset range of a pumped-storage power station 102. The big data center system 101 includes at least one server 104. The pumped-storage power station 102 and the big data center system 101 are connected by an underwater cable to provide power and data to the big data center system 101. The reservoir 103 provides a constant low-temperature external environment and internal cooling medium for the big data center system 101. The big data center system 101 is used to provide computing services for at least the pumped-storage power station 102. By utilizing the relatively stable and low temperature environment within the reservoir 103, a relatively cool environment can be provided for the big data center system 101, reducing the energy consumption of cooling equipment such as the server 104. This allows the cooling system of the big data center system 101 to be optimized, thereby reducing the power consumption required by the big data center system 101. Moreover, the pumped storage power station 102 is directly connected to the big data center system 101 to provide it with power. This local power supply method reduces line losses during power transmission, allowing the big data center system 101 to obtain electricity more efficiently, thereby allowing the big data center system 101 to eliminate the power supply system, further reducing the power consumption required for the deployment of the big data center system 101.

[0040] In an exemplary embodiment, Figure 1 As shown, the big data center system 101 is installed in a container 105 , and the container 105 is deployed at the bottom of the reservoir 103 .

[0041] Container 105 is a commonly used installation medium for big data center system 101 on the market, and generally includes standard-sized containers and customized containers. It should be noted that in actual scenarios, reservoir 103 can accommodate container 105. It should be noted that the container can also be installed in a cave near pumped-storage power station 102.

[0042] For example, the big data center system 101 can be installed in a container 105, and the container 105 is deployed at the bottom of the reservoir 103. The exterior material of the container 105 needs to be waterproof, fireproof and pressure-resistant, such as metal materials, composite materials, coating materials, etc.

[0043] In this embodiment, because the container 105 is located at the bottom of the reservoir 103, the heat exchange area between the surrounding water and the container is large and the heat transfer efficiency is high, which can quickly take away the heat generated by the big data center system 101 equipment, ensuring that the equipment operates at an appropriate temperature, which is conducive to improving the performance and stability of the equipment.

[0044] In an exemplary embodiment, Figure 1As shown, one or more transport robots 108 are installed outside the container 105. The transport robots 108 are equipped with a control device that allows them to float and sink, and are used to control the transport robots to move containers or servers from the surface to the bottom of the water. The transport robots can be controlled automatically or manually.

[0045] The transport robot 108 is a commonly used automated device on the market for transporting and moving the container 105, such as an articulated transport robot, a T-type power-assisted robot, etc. It should be noted that the transport robot 108 has the function of moving in water and is made of waterproof material.

[0046] Exemplarily, one or more handling robots 108 are externally located on container 105. Server 104 responds to a container handling request for container 105 sent by a user terminal and parses the request to obtain parsed information corresponding to the container handling request. Server 104 then extracts the handling path (from the surface to the bottom) corresponding to container 105 from the parsed information. Based on this handling path, server 104 generates container handling instructions for container 105 and sends these instructions to handling robots 108. Upon receiving the container handling instructions for container 105 sent by server 104, handling robot 108 moves container 105 or server 104 from the surface to the bottom of the water. It should be noted that container handling instructions can also be manually generated.

[0047] Furthermore, the transport robot 108 receives a container replacement instruction for the container 105 sent by the server 104 and performs a replacement process on the container 105 , such as replacing a damaged container with a new container.

[0048] In this embodiment, the container or server is transported from the surface to the bottom of the water by the transport robot 108, which greatly improves the transport efficiency, saves time and labor costs, and makes system upgrades, maintenance or equipment updates more convenient compared to manual transport or other non-automated methods.

[0049] In an exemplary embodiment, Figure 1 As shown, an environment maintaining system 109 is provided outside the container 105. The environment maintaining system 109 is used to maintain a constant temperature and humidity inside and outside the container 105.

[0050] The environment maintenance system 109 is a commonly used equipment system in the market for maintaining constant temperature and humidity inside and outside the container 105, such as a water cooling system.

[0051] For example, an environmental maintenance system 109 is provided outside the container 105. The environmental maintenance system 109 obtains internal environmental values ​​(e.g., the water temperature inside the container 105) and external environmental values ​​(e.g., the water temperature outside the container 105). If the difference between the internal and external environmental values ​​is greater than a preset threshold, the environmental maintenance system 109 controls the corresponding environmental maintenance device of the container 105 to activate, thereby maintaining a constant temperature and humidity inside and outside the container 105.

[0052] In this embodiment, the environment maintaining system 109 promotes constant temperature and humidity in the container 105, thereby maintaining a stable environment inside and outside the container 105.

[0053] In an exemplary embodiment, Figure 1 As shown, a fault detection device 110 is provided inside the container 105. The fault detection device 110 is used to detect whether the server 104 has a fault and send a fault detection report of the server 104 to a terminal associated with the big data center system 101.

[0054] The fault detection device 110 is a commonly used device on the market for detecting whether a fault occurs in the server 104 , such as a network performance monitor, a network probe, and the like.

[0055] Exemplarily, a fault detection device 110 is provided inside the container 105. The fault detection device 110 is also equipped with a trained server fault prediction model. The fault detection device 110 is used to obtain the current operating data and historical operating data of the server 104 and determine whether the server 104 has a fault based on the difference between the current operating data and the historical operating data. Then, if the fault detection device 110 detects that the difference between the current operating data and the historical operating data is greater than a preset difference, it determines that the server 104 has a fault, preprocesses the current operating data to obtain preprocessed operating data, performs feature extraction on the preprocessed operating data to obtain a feature vector of the preprocessed operating data, and inputs the feature vector of the preprocessed operating data into the trained server fault prediction model to obtain the predicted probability of the server 104 under each preset fault type. From each preset fault type, the preset fault type with a predicted probability greater than the preset probability is selected as the current fault type of the server 104. Next, the fault detection device 110 generates a fault detection report for the server 104 according to the current fault type of the server 104, and sends the fault detection report for the server 104 to a terminal associated with the big data center system 101 (such as the detection personnel's mobile phone, computer, etc., without the need for the staff to enter the container).

[0056] In this embodiment, the operating status of the server 104 can be monitored in real time through the fault detection device 110. Once a server fault occurs, the fault detection device 110 can quickly detect it, thereby shortening the time to discover the fault compared to manual inspections or other indirect methods.

[0057] In an exemplary embodiment, Figure 1 As shown, an alarm device 111 connected to a fault detection device 110 is further provided inside the container 105. The fault detection device 110 is configured to trigger the alarm device 111 to sound an alarm when a fault is detected in the server 104.

[0058] The alarm device 111 is a commonly used alarm device on the market, generally including a voice alarm, a light alarm, an audible and visual alarm, etc.

[0059] Exemplarily, an alarm device 111 connected to the fault detection device 110 is also provided inside the container 105. Upon detecting a fault in the server 104, the fault detection device 110 generates an alarm signal for the server 104 based on the current fault type of the server 104 and transmits the alarm signal to the alarm device 111. After receiving the alarm signal, the alarm device 111 parses the alarm signal to obtain parsed information corresponding to the alarm signal. From the parsed information, the alarm device 111 extracts the current fault type of the server 104 and, based on the current fault type of the server 104, triggers the corresponding sound and light alarm component to sound an alarm.

[0060] In this embodiment, the fault detection device 110 can monitor the operating status of the server 104 in real time. Once a fault is detected, the alarm device 111 is immediately triggered to sound an alarm, allowing the operation and maintenance personnel to know that there is a problem with the server at the first time, which helps to quickly locate and solve the fault, reduce the impact time of the fault on the business, and improve operation and maintenance efficiency.

[0061] In an exemplary embodiment, Figure 1 As shown, at least one inspection robot 112 is further disposed within the container 105. The inspection robot 112 is configured to control its mechanical arm to perform maintenance on the server 104 when the fault detection device 110 triggers the alarm device 111. The inspection robot can be controlled automatically or manually.

[0062] The inspection robot 112 is a commonly used robot currently on the market for repairing the server 104 , such as a wheeled inspection robot, a crawler inspection robot, and the like.

[0063] Exemplarily, at least one inspection robot 112 is further disposed within container 105. When fault detection device 110 triggers alarm device 111, inspection robot 112 generates a test instruction for server 104. Based on the test instruction, inspection robot 112 performs a test on server 104, obtaining a test result for server 104. Based on the test result, inspection robot 112 generates a predicted probability for server 104 under various preset maintenance instructions. From these preset maintenance instructions, inspection robot 112 selects the preset maintenance instruction with the highest predicted probability as the target maintenance instruction for server 104. Based on the target maintenance instruction, inspection robot 112 controls its robotic arm to perform maintenance on server 104. It should be noted that target maintenance instructions can also be manually generated.

[0064] Furthermore, the inspection robot 112 is also used to replace the server 104 when the fault detection device 110 triggers the alarm device 111 to sound an alarm.

[0065] In this embodiment, when a failure occurs on the server 104 and an alarm is triggered, the inspection robot 112 can quickly start maintenance operations after arriving at the failed server 104, thereby avoiding a more serious impact on the server and related businesses due to the prolonged duration of the failure.

[0066] In an exemplary embodiment, Figure 1 As shown, the inspection robot 112 is equipped with a camera 113. The inspection robot 112 is used to control the camera 113 to photograph the server 104, and perform physical inspection on the server 104 based on the photographed images, or upload the photographed images to a terminal associated with the big data center system 101.

[0067] The camera 113 is a commonly used camera on the market for photographing the server 104 , such as a gun-type camera, a hemispherical camera, and the like.

[0068] Illustratively, the inspection robot 112 is equipped with a camera 113. In response to a shooting instruction directed to the server 104, the inspection robot 112 controls the camera 113 to shoot the server 104, thereby obtaining an image of the server 104. Next, the inspection robot 112 performs denoising on the image to obtain a denoised image. It then performs feature extraction on the denoised image to obtain a feature matrix for the denoised image. The feature matrix for the denoised image is then input into a trained physical inspection model. The trained physical inspection model is then used to perform a physical inspection on the denoised image of the server 104, obtaining predicted probabilities for the server 104 under various preset physical inspection results. The preset physical inspection result with the highest predicted probability is then selected from the preset physical inspection results as the target physical inspection result corresponding to the server 104.

[0069] Furthermore, the inspection robot 112 is also used to upload the captured images to a terminal associated with the big data center system 101 (such as the inspector's mobile phone, computer, etc., to facilitate the inspector to understand the internal situation of the container).

[0070] In this embodiment, by utilizing the inspection robot 112, the shooting and detection work can be completed quickly and accurately, avoiding the defect that traditional server inspection requires manual operation, which easily consumes a lot of manpower and time and leads to low server inspection efficiency, and is conducive to improving the server inspection efficiency.

[0071] In an exemplary embodiment, Figure 1 As shown, the system also includes: the container 105 is also provided with a first transition compartment 106; the handling robot 108 is also used to detect the target object in the container 105 in the reservoir 103, and put the target object into the second transition compartment 107 of the handling robot 108, and establish a channel corresponding to the first transition compartment 106 and the second transition compartment 107; the target object includes at least a new server; the inspection robot 112 is also used to obtain the target object through the channel, use the target object to replace the current object, and put the current object into the first transition compartment 106, so that the handling robot 108 removes the current object; the current object includes at least the server that needs to be replaced.

[0072] The first transition compartment 106 refers to a transition compartment provided for a container.

[0073] The second transition cabin 107 refers to a transition cabin provided for the transport robot.

[0074] For example, when maintenance or replacement is required on a current object in the big data center system 101 (e.g., a server requiring maintenance or replacement), technicians will drop the target object (i.e., the new server) into the water using a special device (e.g., a waterproof drop box). These servers have been waterproofed prior to entry to ensure they are not damaged during handling. The transport robot 108 performs real-time inspections within the reservoir 103. Upon detecting the target object in the container 105 within the reservoir 103, it transports the target object to the transport robot's second transitional compartment 107. The transport robot 108 establishes a passageway corresponding to the first transitional compartment 106 and the second transitional compartment 107, transporting the target object to the outside of the first transitional compartment 106, where the container 105 is located. The outer door of the first transitional compartment 106 is opened, and the transport robot 108 removes the target object from the second transitional compartment 107 into the first transitional compartment, then closes the outer door of the first transitional compartment 106. The first transition chamber 106 performs operations such as evacuating air and filling it with gas consistent with that in the container 105 to balance the internal pressure and ensure that the airtightness in the container 105 is not affected. After the pressure is balanced, the inner door of the first transition chamber is opened, and the inspection robot 112 can grab the components from the transition chamber to complete the transportation and handover process, and then close the inner door. Then, the inspection robot 112 installs the target object. Next, the inspection robot 112 uses the target object to replace the current object (i.e., the server that needs to be replaced) and places the current object into the first transition chamber. Finally, the transport robot removes the current object through the channel. In this embodiment, the transport robot 108 can quickly detect and transport target objects such as servers, accurately deliver them to the preset location, and install new servers in a timely manner through the inspection robot 112, thereby reducing business interruption time and helping to improve operation and maintenance efficiency.

[0075] In an exemplary embodiment, Figure 1 As shown, the container 105 is provided with a fire protection system 114. The fire protection system 114 is used to extinguish the fire in the event of a fire inside the container 105. The inspection robot is also used to repair the interior of the container after a fire.

[0076] The fire protection system 114 is a commonly used device on the market for extinguishing fires in the container 105 , such as a smoke detector, an automatic sprinkler system, or a gas fire extinguishing system.

[0077] For example, container 105 is equipped with a firefighting system 114. Firefighting system 114 acquires current video data from container 105 and performs object detection on the data to determine the predicted probability of a preset object (e.g., flames) in the video data. If the predicted probability of the preset object is greater than the preset probability, firefighting system 114 determines that a fire has occurred inside container 105. Next, firefighting system 114 performs feature extraction on the current video data from container 105 to obtain a feature vector. This feature vector is then input into a trained fire extinguishing command prediction model to obtain a corresponding fire extinguishing command for container 105. Firefighting system 114 then performs the corresponding fire extinguishing operation according to the fire extinguishing command. Finally, the inspection robot performs repair work (e.g., cleaning and washing) on ​​the interior of the container after the fire.

[0078] In this embodiment, when a fire occurs in the container 105, the fire protection system 114 can be quickly activated and fire extinguishing, quickly controlling the spread of the fire and trying to extinguish it in the early stages of the fire. The inspection robot can also repair the interior of the container after the fire, thereby minimizing the damage caused by the fire to the cargo in the container 105 and the container 105 itself, and ensuring a rapid response when a fire occurs.

[0079] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0080] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A big data center system for a pumped storage power station, characterized in that: The big data center system is deployed at the bottom of a reservoir within a preset range of a pumped-storage power station and includes at least one server; the pumped-storage power station is connected to the big data center system via an underwater cable to provide power and data for the big data center system; the reservoir is used to provide a constant low-temperature external environment and internal cooling medium for the big data center system; the big data center system is used to provide computing services at least for the pumped-storage power station.

2. The system according to claim 1, wherein: The big data center system is installed in an airtight container, and the container is deployed at the bottom of the reservoir.

3. The system according to claim 2, characterized in that One or more transport robots are provided outside the container; The transport robot is provided with a control device that enables the transport robot to float up and sink, which is used to control the transport robot to transport the container or the server from the water surface to the bottom of the water; the control mode of the transport robot is automatic control mode or manual control mode.

4. The system according to claim 2, wherein: The container is also provided with an environmental maintenance system on the outside; The environment maintaining system is used to maintain constant temperature and humidity inside and outside the container.

5. The system according to claim 2, wherein: A fault detection device is provided inside the container; The fault detection device is used to detect whether the server has a fault and send a fault detection report of the server to a terminal associated with the big data center system.

6. The system according to claim 5, characterized in that An alarm device connected to the fault detection device is also provided inside the container; The fault detection device is used to trigger the alarm device to sound an alarm when a fault is detected in the server.

7. The system according to claim 6, characterized in that At least one inspection robot is also provided inside the container; The inspection robot is used to control the mechanical arm of the inspection robot to perform maintenance on the server when the fault detection equipment triggers the alarm of the alarm device; the control mode of the inspection robot is automatic control mode or manual control mode.

8. The system according to claim 7, characterized in that The inspection robot is equipped with a camera; The inspection robot is used to control the camera to photograph the server, and perform physical inspection on the server based on the photographed image, or upload the photographed image to a terminal associated with the big data center system.

9. The system according to claim 7, wherein: The container is further provided with a first transition compartment; The transport robot is further configured to detect a target object in the container within the reservoir, place the target object into a second transition compartment of the transport robot, and establish a passage corresponding to the first transition compartment and the second transition compartment; the target object includes at least a new server; The inspection robot is also used to obtain the target object through the channel, use the target object to replace the current object, and place the current object into the transition cabin so that the transport robot removes the current object; the current object includes at least the server that needs to be replaced.

10. The system according to claim 7, wherein: A fire protection system is also provided inside the container; The fire protection system is used to perform corresponding fire extinguishing measures in the event of a fire inside the container; The inspection robot is also used to repair the interior of a container after a fire occurs.

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