A monitoring system for an artificial intelligence computing center

Abstract

The utility model relates to the technical field of calculation center monitoring, specifically relates to a kind of monitoring system for artificial intelligence calculation center, including track, multiple connection components that can slide on the track, driving mechanism and monitoring sensor;The track is composed of multiple longitudinal and transverse interlaced and interconnected track sections, and the horizontal height of transverse track section and longitudinal track section is different;Connection component is connected track and monitoring sensor respectively, and built-in installation driving mechanism.The utility model is designed by longitudinal and transverse interlaced and interconnected track, cooperates with the connection component that can slide flexibly, so that monitoring sensor can reach every corner of calculation center, completely eliminates the monitoring blind area of traditional fixed sensor, realizes the omnibearing real-time monitoring of environmental parameter.

Description

Technical Field

[0001] This utility model relates to the field of computing center monitoring technology, and specifically to a monitoring system for artificial intelligence computing centers. Background Technology

[0002] With the rapid development of artificial intelligence technology, AI computing centers, as core hubs for data processing and computation, are constantly increasing in scale and complexity. These centers are characterized by highly dense equipment, with numerous servers and storage devices operating continuously, generating significant heat and making them extremely sensitive to environmental conditions such as temperature and humidity. For example, excessively high temperatures can lead to decreased chip performance, system crashes, or even hardware damage; excessively high humidity can cause short circuits, while excessively low humidity can result in static electricity hazards. Furthermore, smoke serves as an early warning signal for fires, making timely monitoring crucial.

[0003] Traditional monitoring systems typically use fixed sensors. These sensors, with their fixed locations, struggle to comprehensively cover every corner of a computing center, resulting in numerous blind spots. Environmental anomalies occurring in these blind spots are difficult to detect and address promptly, potentially leading to serious equipment damage and data loss. Furthermore, maintaining, replacing, or adjusting monitoring focus based on the computing center's layout using fixed sensors is cumbersome and costly. Therefore, developing a flexible, mobile, all-around monitoring system that is easy to maintain and can be quickly adapted to specific needs is urgently required. Utility Model Content

[0004] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0005] The purpose of this invention is to provide a monitoring system for artificial intelligence computing centers, which solves the problems of limited monitoring range, poor flexibility, and inconvenient maintenance of existing monitoring systems, and realizes comprehensive, real-time, and flexible monitoring of environmental parameters of computing centers.

[0006] This utility model provides a monitoring system for an artificial intelligence computing center, including a track, multiple connecting components that can slide on the track, a drive mechanism, and monitoring sensors; the track is composed of multiple intersecting and interconnected track segments, and the horizontal track segments and the vertical track segments have different horizontal heights; the connecting components connect the track and the monitoring sensors respectively, and have the drive mechanism built in.

[0007] Preferably, the connecting component is a cuboid structure with an internal accommodating cavity; a track connecting part is provided at the top of the connecting component; a sensor connecting part is provided at the bottom of the connecting component; and the driving mechanism is installed inside the accommodating cavity of the connecting component.

[0008] Preferably, the track connection includes two symmetrical roller assemblies and a guide block. The roller assembly consists of wear-resistant rubber rollers and bearings, and the guide block cooperates with the guide groove on the track.

[0009] Preferably, the roller surface of the roller assembly is provided with anti-slip texture.

[0010] Preferably, the drive mechanism includes a DC brushless drive motor and drive wheels, and the transmission chain transmits the power of the drive wheels to the rollers of the track connection part.

[0011] Preferably, the surface of the guide block is coated with a self-lubricating coating.

[0012] Preferably, the sensor connection part includes multiple slots and interfaces with marking and positioning structures.

[0013] Preferably, it also includes a detachable sensor carrier, one end of which is connected to the sensor connection part through the slot and interface of the sensor connection part, and the other end is connected to the monitoring sensor.

[0014] Preferably, the monitoring sensor includes at least one of a smoke detection sensor, a temperature sensor, a humidity sensor, and a camera.

[0015] Preferably, the connection between the track segments adopts a detachable splicing structure.

[0016] This utility model provides a monitoring system for artificial intelligence computing centers, which has the following advantages:

[0017] 1. The crisscrossing and interconnected track design, combined with flexible sliding connecting components, enables the monitoring sensors to reach every corner of the computing center, completely eliminating the monitoring blind spots of traditional fixed sensors and realizing comprehensive real-time monitoring of environmental parameters.

[0018] 2. The detachable sensor mount and diverse sensor selection allow users to adjust the sensor installation location and type at any time according to the monitoring needs of different areas, the development and changes of the computing center, and the performance characteristics of the sensors, enabling the system to quickly adapt to various complex monitoring scenarios.

[0019] The above general description and the description below are exemplary and explanatory only, and are not intended to limit the present invention. Attached Figure Description

[0020] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are considered similar elements. The drawings do not constitute a limitation of scale, and wherein:

[0021] Figure 1 This utility model provides a schematic diagram of a track presented in a grid pattern;

[0022] Figure 2 This utility model provides a schematic diagram of the connection components of a monitoring system;

[0023] Figure 3 This utility model provides a top view schematic diagram of a connection component for a monitoring system;

[0024] Figure 4 This utility model provides a schematic diagram of the distribution of monitoring sensors and tracks;

[0025] Figure 5 This utility model provides a cross-sectional schematic diagram of a monitoring system;

[0026] Figure label:

[0027] 1: Track section; 2: Roller assembly; 3: Guide block; 4: Slot; 5: Drive wheel; 6: Sensor carrier; 7: Smoke detection sensor. Detailed Implementation

[0028] To provide a more detailed understanding of the features and technical content of this utility model, the implementation of this utility model will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this utility model. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0029] The following description and accompanying drawings fully illustrate specific embodiments of the present invention to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The scope of embodiments of the present invention includes the entire scope of the claims and all available equivalents of the claims. In this document, each embodiment may be referred to individually or collectively by the term "utility model," which is merely for convenience and is not intended to automatically limit the scope of the application to any single utility model or utility model concept if more than one utility model is disclosed. In this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, without requiring or implying any actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. The various embodiments described herein are presented in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the methods, products, etc., disclosed in the embodiments, since they correspond to the method section disclosed in the embodiments, the descriptions are relatively simple; relevant details can be found in the method section description.

[0030] Furthermore, the terms "set up," "connect," and "fix" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be an internal connection between two devices, components, or parts. Those skilled in the art can understand the specific meaning of the above terms in this utility model according to the specific circumstances.

[0031] This invention aims to provide a monitoring system for artificial intelligence computing centers, addressing the problems of large blind spots, poor flexibility, and difficult maintenance inherent in traditional monitoring systems. This system enables comprehensive monitoring of environmental parameters within the computing center, timely detection of potential risks, and ensures the stable operation of equipment and data security.

[0032] The monitoring system for an artificial intelligence computing center includes a track, multiple connecting components that can slide on the track, a drive mechanism, and monitoring sensors.

[0033] The track consists of multiple crisscrossing and interconnected track segments 1. See also Figure 1 , Figure 1 This invention provides a schematic diagram of a grid-like track. The track serves as the basic framework for the operation of the connecting components, consisting of multiple crisscrossing and interconnected track segments 1, providing diverse movement paths for the connecting components. The track is positioned above the data center, laid on the ceiling or walls, enabling it to reach various areas of the computing center. Furthermore, the horizontal and vertical track segments are at different levels, ensuring that there are no intersections between them. This prevents the operating monitoring sensors from colliding.

[0034] In practical applications, track segments 1 are connected using a detachable splicing structure, achieved through specially designed locating pins and high-strength bolts. The locating pins ensure the positional accuracy of track segments 1 during splicing, guaranteeing the continuity of the guide grooves; the high-strength bolts provide a stable connection, preventing loosening of the track during long-term use. This detachable splicing structure greatly facilitates the installation, disassembly, and rearrangement of the track. When the computing center upgrades equipment, renovates areas, or adjusts monitoring priorities, the track can be adjusted quickly and conveniently.

[0035] The connecting assembly adopts a cuboid structure with an internal accommodating cavity. This design ensures structural strength while providing ample installation space for internal components.

[0036] The connecting assembly has a track connecting part at the top and a sensor connecting part at the bottom. The drive mechanism is installed within the receiving cavity of the connecting assembly. (See also...) Figure 2 , Figure 2 This utility model provides a front view schematic diagram of the connection component of a monitoring system.

[0037] The track connection section at the top of the connecting assembly is a key component for its movement on the track, comprising two symmetrically arranged roller assemblies 2 and a guide block 3. Roller assemblies 2 consist of wear-resistant rubber rollers and high-precision bearings. The wear-resistant rubber rollers not only possess excellent wear resistance, but their surface textured with anti-slip grooves effectively increases friction with the track, ensuring stable movement of the connecting assembly on the track and preventing slippage even when the track is dusty or slightly damp. The guide block 3 precisely fits into the guide groove on the track, and its surface is coated with a self-lubricating coating, significantly reducing the coefficient of friction with the guide groove, minimizing wear, ensuring smooth and stable operation of the connecting assembly on complex tracks, and extending the component's service life.

[0038] The sensor connection section at the bottom of the connector assembly includes multiple clearly marked slots 4 and interfaces with precise positioning structures. These markings and positioning structures make sensor installation simple and accurate, effectively avoiding poor contact or malfunction due to incorrect installation. It also features a detachable sensor carrier 6, one end of which is securely connected to the sensor connection section via slots 4 and interfaces, while the other end is used to connect various monitoring sensors. This facilitates sensor installation, removal, and replacement, improving system flexibility and maintainability.

[0039] The drive mechanism is installed within the housing of the connecting assembly and consists of a brushless DC drive motor and five drive wheels working in tandem. The brushless DC drive motor offers advantages such as high efficiency, energy saving, low noise, and long lifespan, providing a stable power source for the system. The five drive wheels are in contact with the track, driving the connecting assembly to run on the track. See also... Figure 3 , Figure 3 This utility model provides a top view schematic diagram of the connection components of a monitoring system. Figure 3 The drive wheel 5 is shown in the image.

[0040] Monitoring sensors include at least one of the following: smoke detection sensor 7, temperature sensor, humidity sensor, and camera. Users can flexibly select and combine different types of sensors based on the specific environmental characteristics and monitoring priorities of the computing center. For example, temperature sensors can be prioritized in areas with high heat generation; smoke detection sensors 7 are more important in areas with concentrated cabling; and humidity sensors are essential for areas with humidity-sensitive storage devices. See also Figure 4 This diagram illustrates the distribution of monitoring sensors and tracks, where the arrows indicate the direction of movement of the monitoring sensors. The monitoring sensors reciprocate along either the transverse or longitudinal track segment.

[0041] See Figure 5 This is a cross-sectional schematic diagram of a monitoring system. The monitoring system also includes a detachable sensor carrier 6. One end of the sensor carrier 6 is securely connected to the sensor connection part at the bottom of the connecting assembly via a slot and interface of the sensor connection part. The other end of the sensor carrier 6 is used to connect a monitoring sensor. Figure 5The smoke detection sensor 7 is connected in the middle. Because the sensor mount 6 is detachable, this provides the system with great flexibility. When it is necessary to replace a faulty sensor, adjust the sensor type according to the monitoring needs of different areas of the computing center, or upgrade the sensor, there is no need for complex disassembly and maintenance of the entire connection assembly. Simply remove the sensor mount 6 from the sensor connection and replace it with a new mount and the sensor on it. This design effectively reduces the difficulty and cost of system maintenance, improves the maintainability and adaptability of the system, and enables the monitoring system to better meet the diverse and changing monitoring needs of the artificial intelligence computing center.

[0042] The above embodiments are only used to illustrate the technical solutions of this utility model, and are not intended to limit it. Although the utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this utility model.

Claims

1. A monitoring system for an artificial intelligence computing center, comprising a track, multiple sliding connection components on the track, a drive mechanism, and monitoring sensors, characterized in that, The track consists of multiple intersecting and interconnected track segments, with the horizontal track segments and the vertical track segments having different horizontal heights. The connecting components connect the track and the monitoring sensors respectively, and have a built-in installation drive mechanism; The connecting component is a cuboid structure with an internal cavity; a track connecting part is provided at the top of the connecting component; a sensor connecting part is provided at the bottom of the connecting component; and the driving mechanism is installed inside the cavity of the connecting component. The track connection includes two symmetrical roller assemblies and a guide block. The roller assembly consists of wear-resistant rubber rollers and bearings, and the guide block cooperates with the guide groove on the track.

2. The monitoring system for an artificial intelligence computing center according to claim 1, characterized in that, The rollers of the roller assembly have anti-slip textures on their surfaces.

3. The monitoring system for an artificial intelligence computing center according to claim 1, characterized in that, The drive mechanism includes a DC brushless drive motor and a drive wheel, the drive wheel being used to drive the connecting component to move.

4. A monitoring system for an artificial intelligence computing center according to claim 1, characterized in that, The surface of the guide block is coated with a self-lubricating coating.

5. A monitoring system for an artificial intelligence computing center according to claim 1, characterized in that, The sensor connection section includes multiple slots and interfaces with markings and positioning structures.

6. A monitoring system for an artificial intelligence computing center according to claim 5, characterized in that, It also includes a detachable sensor carrier, one end of which is connected to the sensor connector via a slot and interface of the sensor connector, and the other end is connected to the monitoring sensor.

7. A monitoring system for an artificial intelligence computing center according to claim 1, characterized in that, The monitoring sensors include at least one of smoke detection sensors, temperature sensors, humidity sensors, and cameras.

8. A monitoring system for an artificial intelligence computing center according to claim 1, characterized in that, The connection between the track segments adopts a detachable splicing structure.

Images