IT equipment asset monitoring cabinet

Abstract

The application relates to the technical field of Internet of Things, and particularly relates to an IT equipment asset monitoring cabinet. The cabinet comprises a cabinet body, a heat dissipation channel arranged on the cabinet body, a partition plate arranged in the cabinet body, a guide rail arranged at the joint of the partition plate and the cabinet body, a data reading device arranged on the guide rail, an electronic tag arranged on the IT equipment, a temperature and humidity sensor arranged in the heat dissipation channel, and a controller in communication connection with the data reading device and the temperature and humidity sensor. The application can efficiently locate the position of the IT equipment in the cabinet and monitor the health condition of the IT equipment.

Description

Technical Field

[0001] This application relates to the field of Internet of Things (IoT) technology, and in particular to an IT equipment asset monitoring cabinet. Background Technology

[0002] With the rapid development of information technology, data centers are becoming increasingly large-scale, with numerous and complexly arranged IT devices within their cabinets. Traditional monitoring methods often struggle to accurately determine the specific location and status of each IT device within its rack compartment, as well as its health condition. When devices are illegally moved or experience health issues, timely and accurate alarms cannot be issued or effective location can be established. This causes numerous inconveniences for data center operation and maintenance management, impacting the normal operating efficiency and equipment security of the data center.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Utility Model Content

[0004] The main objective of this application is to propose an IT equipment asset monitoring cabinet that can efficiently locate the position of IT equipment in the cabinet and monitor the health status of the IT equipment.

[0005] To achieve the above objectives, one aspect of this application provides an IT equipment asset monitoring cabinet, comprising:

[0006] Cabinet:

[0007] A heat dissipation channel is provided on the cabinet.

[0008] A partition, wherein the partition is disposed inside the cabinet;

[0009] Guide rail, which is disposed at the connection between the partition and the cabinet;

[0010] A data reading device, wherein the data reading device is mounted on the guide rail;

[0011] An electronic tag, wherein the electronic tag is affixed to the IT device;

[0012] A temperature and humidity sensor is disposed within the heat dissipation channel;

[0013] The controller is communicatively connected to the data reading device and the temperature and humidity sensor.

[0014] In some embodiments, there are multiple partitions, which are used to divide the cabinet into multiple spaces and to house the IT equipment.

[0015] In some embodiments, the electronic tag is equipped with a triaxial accelerometer, which is used to monitor the unauthorized movement of the IT device and is communicatively connected to the controller.

[0016] In some embodiments, the guide rail includes a first guide rail and a second guide rail. The first guide rail and the second guide rail include a first slide rail, a first fixed rail, a second slide rail and a second fixed rail. The first slide rail and the second slide rail are disposed on both sides of the partition, and the first fixed rail and the second fixed rail are disposed on both sides inside the cabinet. The first slide rail is movably connected to the first fixed rail, and the second slide rail is movably connected to the second fixed rail.

[0017] In some embodiments, the data reading device is disposed on the first fixed rail, and the electronic tag is disposed on the IT device and on one side close to the first slide rail.

[0018] In some embodiments, the electronic tag includes a radio frequency identification (RFID) electronic tag or a Bluetooth electronic tag;

[0019] When the electronic tag is a radio frequency identification (RFID) electronic tag, the data reading device is an RFID reader / writer;

[0020] When the electronic tag is a Bluetooth electronic tag, the data reading device is a Bluetooth card reader.

[0021] In some embodiments, a plurality of functional piles are also included, the functional piles being vertically fixed to the inside of the cabinet, and the data reading device and the temperature and humidity sensor being disposed on the functional piles.

[0022] In some embodiments, a positioning sensor is also included, which is disposed on the functional pile or the guide rail and is communicatively connected to the controller.

[0023] In some embodiments, a plurality of current sensors are also included, which are disposed on the functional pile or the guide rail and are communicatively connected to the controller.

[0024] In some embodiments, a plurality of indicator lights are also included, which are disposed inside the cabinet and are communicatively connected to the controller.

[0025] The embodiments of this application include at least the following beneficial effects: This application provides an IT equipment asset monitoring cabinet. This solution incorporates heat dissipation channels, partitions, and guide rails within the cabinet, ensuring it meets basic operating conditions. By installing data reading devices and temperature and humidity sensors within the cabinet, combined with electronic tags on the IT equipment, the IT equipment asset monitoring cabinet can be uniformly managed through a controller. The data reading devices and electronic tags enable accurate positioning of the IT equipment, precisely determining its location. The temperature and humidity sensors provide real-time monitoring of the health status of the IT equipment asset monitoring cabinet, achieving efficient security control. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of an IT equipment asset monitoring cabinet provided in an embodiment of this application;

[0027] Figure 2 This is a schematic diagram of an IT equipment asset monitoring cabinet equipped with functional piles. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application.

[0029] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various concepts, but unless otherwise stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to a determination” as used herein may be interpreted as “when…” or “when…” or “in response to a determination.”

[0030] As used in this application, the terms "at least one", "multiple", "each", "any", etc., "at least one" includes one, two or more, "multiple" includes two or more, "each" refers to each of the corresponding multiples, and "any" refers to any one of the multiples.

[0031] like Figure 1 As shown, Figure 1This is a schematic diagram of an IT equipment asset monitoring cabinet provided in an embodiment of this application. An IT equipment asset monitoring cabinet includes a cabinet 100, a heat dissipation channel 200, a partition 300, a guide rail 400, a data reading device (not shown), an electronic tag 500, a temperature and humidity sensor (not shown), and a controller (not shown). The heat dissipation channel 200 is disposed on the cabinet 100, the partition 300 is disposed inside the cabinet 100, the guide rail 400 is disposed at the connection between the partition 300 and the cabinet 100, the data reading device is disposed on the guide rail 400, the electronic tag 500 is disposed on the IT equipment, the temperature and humidity sensor is disposed within the heat dissipation channel 200, and the controller is communicatively connected to the data reading device and the temperature and humidity sensor.

[0032] Specifically, by setting up heat dissipation channels 200, partitions 300 and guide rails 400 inside the cabinet 100, the IT equipment asset monitoring cabinet reaches a basic operating environment. By setting up data reading devices and temperature and humidity sensors inside the cabinet 100, the overall temperature and humidity inside the cabinet 100 are determined by the data obtained from the temperature and humidity sensors. Combined with the electronic tags 500 set on the IT equipment, the IT equipment asset monitoring cabinet can be uniformly managed by the controller.

[0033] The RFID tag 500 uses an industrial-grade RFID tag with a three-layer structure: the base layer is made of 0.1mm flexible polyimide material, which is heat-resistant and corrosion-resistant; the middle layer is an NXP UCODE 9 high-frequency chip, supporting the ISO15693 protocol and having 256 bytes of storage space; the surface layer is a dedicated anti-metal interference antenna with a ring dipole design, maintaining an effective reading distance of 3-5cm on metal surfaces. The RFID tag 500 is 1.2mm thick and can be embedded in IT equipment asset labels or directly affixed to the surface of IT equipment. The RFID tag 500 can be an active or passive tag. The controller integrates, analyzes, and stores the information collected by the RFID tag 500, thereby achieving unified management of the real-time status of IT equipment and the physical space of the U-position within the data center rack 100. Here, U-position refers to a unit used to measure server rack space, typically used to describe the installation space of servers, network equipment, etc., within rack 100. The advantages of RFID technology are: non-contact identification with a maximum reading distance of 8 meters; rapid batch inventory management, capable of identifying 200+ tags per second; resistance to electromagnetic interference, with an adjustable operating frequency of 865-928MHz; and precise physical space mapping with a positioning accuracy of ±0.5U. For example, when a new IT device is connected to a specific U-position in cabinet 100, the data reading device reads the electronic tag 500. The data reading device then sends the information obtained from the electronic tag 500 to the controller, which subsequently updates the relevant records in its database to reflect the latest IT device layout and status.

[0034] In some embodiments, a positioning sensor (not shown) is also included. The collaborative operation of the RFID electronic tag and the positioning sensor constitutes a precise positioning system. The data reading device deployed on the guide rails 400 on both sides of each partition 300 is a dual-frequency RFID reader / writer. The specifications of the dual-frequency RFID reader / writer are: 125kHz low-frequency activation + 2.4GHz high-frequency positioning, achieving millimeter-level time delay measurement through a time-division duplex mechanism. When the IT equipment enters the U-position of the cabinet 100, the electronic tag 500 is activated by the low-frequency signal and sends a high-frequency signal containing a unique ID. The dual readers / writers calculate the position coordinates based on the signal arrival time difference, and the positioning accuracy can reach ±0.3U. The positioning sensor adopts multi-band RFID or infrared sensing technology and is set at the guide rail 400. The positioning accuracy is improved through a signal strength differential algorithm, and it has anti-interference capabilities to adapt to complex electromagnetic environments. The collected signals are processed in conjunction with corresponding software algorithms. When the IT equipment is located in a specific U-position within cabinet 100, the positioning sensor can detect the signal emitted by the electronic tag 500 on the IT equipment. Through analysis and comparison of these signals by the software system, the exact U-position location of the IT equipment within cabinet 100 is accurately determined and clearly displayed on the management interface. In essence, the positioning sensor calculates the precise location of the electronic tag, while the data reading device interacts with the electronic tag 500 and roughly obtains the tag's location.

[0035] In some embodiments, to accommodate different sizes of cabinets 100, different sizes of IT equipment such as servers, switches, routers or storage devices are placed inside the cabinets 100. Different IT equipment U-shaped spaces are set inside the cabinets 100 according to their corresponding sizes. Different numbers of partitions 300 are set according to the number of IT equipment placed inside the cabinets 100. The partitions 300 are used to divide the cabinets 100 into multiple spaces and to support the IT equipment.

[0036] In some embodiments, the electronic tag 500 is equipped with a triaxial accelerometer sensor, which is used to monitor unauthorized movement of the IT equipment. The triaxial accelerometer sensor is communicatively connected to the controller. Specifically, when unauthorized movement is detected, such as acceleration > 0.5g lasting for 2 seconds, an active alarm is immediately triggered. Combined with IT equipment information acquired by the data reading device, this distinguishes between normal maintenance operations and unauthorized displacement. Normal maintenance operations include sliding adjustments of the IT equipment, while unauthorized displacement includes exceeding the adjacent 3U range. The controller continuously monitors the signal relationship between the electronic tag 500 on the IT equipment and the positioning sensor to determine if the IT equipment's position has changed. Once it is found that the IT equipment's location does not conform to the standard position parameters and exceeds the pre-set allowable movement range—for example, the IT equipment is allowed a small range of adjustment between adjacent U positions within the adjacent cabinet 100 during normal operation, but exceeding the adjacent U position range is considered unauthorized movement—the controller immediately issues an unauthorized movement alarm for the IT equipment. The alarm information can be conveyed to maintenance personnel in various ways, such as sending SMS messages or displaying prominent prompts on the maintenance management platform.

[0037] In some embodiments, the guide rail 400 includes a first guide rail and a second guide rail. The first guide rail and the second guide rail include a first slide rail, a first fixed rail, a second slide rail, and a second fixed rail. The first slide rail and the second slide rail are disposed on both sides of the partition 300, and the first fixed rail and the second fixed rail are disposed on both sides inside the cabinet 100. The first slide rail is movably connected to the first fixed rail, and the second slide rail and the second fixed rail are movably connected.

[0038] In some embodiments, the data reading device is mounted on the first fixed rail, and the electronic tag 500 is mounted on the IT device and close to one side of the first slide rail. Specifically, the data reading device and the electronic tag 500 are positioned as close as possible to the IT device when it is located in a U-position within the cabinet 100. Therefore, when only one data reading device is mounted in the U-position and it is mounted on the first fixed rail, the electronic tag 500 is mounted on the IT device and close to one side of the first slide rail; when the data reading device is mounted on the second fixed rail, the electronic tag 500 is mounted on the IT device and close to one side of the second slide rail; when one data reading device is mounted on each of the first and second guide rails in the U-position, the electronic tag 500 is mounted on the IT device or inside the IT device, and is precisely positioned using the two data reading devices on the left and right.

[0039] In some embodiments, the electronic tag 500 may also be a Bluetooth electronic tag, supporting encrypted communication to ensure data security, while also possessing low power consumption characteristics to extend its service life. For compatibility between the data reading device and the electronic tag 500, when the electronic tag 500 is an RFID electronic tag, the data reading device is an RFID reader / writer; when the electronic tag 500 is a Bluetooth electronic tag, the data reading device is a Bluetooth card reader.

[0040] In some embodiments, such as Figure 2 As shown, Figure 2 This is a schematic diagram of an IT equipment asset monitoring cabinet equipped with function posts 600. The function posts 600 are vertically fixed inside the cabinet 100, and data reading devices and temperature and humidity sensors are mounted on them. The function posts 600 replace the sensing devices, including data reading devices and temperature and humidity sensors, that are mounted on the first and second fixed rails. Since the first and second rails are located inside the cabinet 100 and are slidably connected to the partition 300, they already bear the corresponding load. If the sensing devices were too heavy, it would increase the burden on the first and second rails and reduce the space occupied by them in the U-shaped bays. Therefore, function posts 600 are used, and more sensing devices can be installed on them to enrich the functionality of the IT equipment asset monitoring cabinet. The vertical fixing of the function posts 600 inside the cabinet 100 allows IT equipment in all U-shaped bays within the cabinet 100 to be used without needing to install a separate function post 600 for each U-shaped bay, thus saving space within the cabinet 100.

[0041] In some embodiments, a positioning sensor is also included. The positioning sensor is disposed on the functional pile 600 and is communicatively connected to the controller. The positioning sensor is used to obtain the real-time location of the IT equipment.

[0042] In some embodiments, a current sensor (not shown) is also included. The current sensor is mounted on the functional pile 600 or the guide rail 400 and is communicatively connected to the controller. The current sensor is used to monitor the power consumption of the IT equipment. Based on the Hall effect principle, it achieves non-intrusive real-time monitoring, with a range covering 0-50A and supporting overload alarms. The current sensor connects to the controller via I2C or an analog interface, supports bidirectional current detection, and can synchronously record the power consumption data of the IT equipment.

[0043] In some embodiments, multiple indicator lights (not shown) are also included. The indicator lights are disposed inside the cabinet 100 and are communicatively connected to the controller. The indicator lights are activated when the controller sends an alarm risk. The multiple indicator lights include various colors and flashing patterns. The controller determines the color and flashing pattern of the indicator lights based on the determined type of alarm risk and sends the communication information of the color and flashing pattern of the indicator lights to the indicator lights for execution.

[0044] Specifically, each unit (U) within the cabinet 100 is equipped with a remotely controllable indicator light. When an alarm is detected during IT equipment monitoring, the controller sends a control command to the corresponding indicator light in the U-position via the communication line, based on the alarm type (e.g., unauthorized equipment movement alarm or equipment health status alarm), causing the indicator light to illuminate. Furthermore, to facilitate quick differentiation of different alarm types by maintenance personnel, different colors are used to represent different alarm states. For example, a red indicator light indicates an unauthorized equipment movement alarm, while a yellow indicator light indicates an equipment health status alarm. In this way, maintenance personnel can intuitively understand which IT devices are experiencing problems and the type of problem by observing the color of the U-position indicator light, enabling them to quickly take appropriate action.

[0045] In some embodiments, for monitoring the health status of IT equipment, various sensors, including temperature and humidity sensors and current sensors, are installed inside the IT equipment or at its connected interfaces to collect relevant parameters during the IT equipment's operation, such as temperature, humidity, and current values. The temperature and humidity sensors use digital signal output, support a wide range of -40℃ to 85℃ and ±2%RH accuracy, and can be attached to the surface of the IT equipment or embedded in the heat dissipation channel 200. When the temperature and humidity sensor is placed on the surface of the IT equipment, it acquires the temperature and humidity data of the corresponding IT equipment; when it is placed in the heat dissipation channel 200, it acquires the temperature and humidity data inside the cabinet 100. The current sensor, based on the Hall effect principle, achieves non-invasive real-time monitoring, with a range covering 0-50A and supporting overload alarms. These sensors transmit the collected parameters to the controller in real time. The controller compares and analyzes these parameters with the normal operating parameter range. When it determines that a parameter of the IT equipment exceeds the normal range, the controller determines that the IT equipment is in an unhealthy state and immediately issues a health status alarm. Similarly, it notifies maintenance personnel through various means so that timely maintenance measures can be taken.

[0046] In some embodiments, the controller employs a multi-layered data processing architecture to analyze the collected sensor data. Preprocessing of the raw sensor data via edge computing nodes includes data denoising, outlier filtering, and data standardization to improve data quality. Preprocessing utilizes a sliding window algorithm, with the window size dynamically adjusted according to the type of IT equipment (30 seconds for servers and 60 seconds for storage devices), effectively filtering out 99% of transient fluctuations. Data standardization employs the Z-score method to ensure that parameters of different dimensions can be compared and analyzed uniformly. The controller incorporates machine learning models to model the operating status of IT equipment, including a time-series prediction model based on LSTM (Long Short-Term Memory) and an anomaly detection model based on random forest. The LSTM model uses a bidirectional structure with 128 hidden layer nodes. By learning the time-series characteristics of historical IT equipment operating data, it can predict the trend of IT equipment parameter changes over the next 4-24 hours with a prediction accuracy of 92%. Model training employs an adaptive learning rate strategy, updating model parameters every 30 days using incremental learning to ensure the model adapts to IT equipment aging and seasonal changes. The random forest model identifies abnormal operating patterns of IT equipment through multi-dimensional feature analysis, supporting cross-analysis of multiple dimensions such as temperature, power consumption, and network traffic. Feature importance is automatically calculated using the Gini coefficient and updated periodically. The controller also establishes an IT equipment health scoring mechanism, comprehensively considering factors such as the frequency of temperature fluctuations, power consumption stability, and network throughput changes to generate a health score from 0 to 100. A warning is triggered when the score is below 70, and an alarm is triggered when it is below 50. The health score is calculated using a weighted average method, with weight coefficients determined through regression analysis of historical fault data, and differentiated weight matrices set for different IT equipment types. Furthermore, the controller supports IT equipment group analysis. By comparing the differences in operating parameters of IT equipment of the same model, potential performance degradation or failure risks are identified, providing a basis for preventative maintenance. Group analysis uses Mahalanobis distance to calculate the similarity between IT equipment. When the parameter of an IT equipment deviates from the group mean by more than 2.5 standard deviations, the controller automatically marks it as abnormal and adds it to the key monitoring list. The controller also implements seasonal pattern recognition, which extracts the periodic characteristics of IT equipment operating parameters through Fourier transform, distinguishes between normal load cycle changes and abnormal fluctuations, and further improves prediction accuracy.

[0047] In some embodiments, the controller employs a multi-level threshold and context-aware alarm judgment mechanism to ensure the accuracy and timeliness of alarms. Different alarm threshold matrices are set for different types of IT equipment and different operating environments. For example, for high-performance computing servers, temperature alarm thresholds are set to 75℃ (early warning) and 85℃ (emergency alarm); while for storage devices, they are set to 65℃ and 75℃ respectively. The threshold matrix also considers the location of the IT equipment within a 100U space of the cabinet; the temperature threshold for IT equipment located in the upper part of the cabinet is 2-3℃ higher than that of IT equipment in the lower part, to accommodate the physical characteristics of rising heat. The controller also implements an adaptive threshold adjustment function, automatically optimizing alarm thresholds based on seasonal changes, load fluctuations, and other factors, reducing the false alarm rate by more than 90%. The adaptive algorithm is based on the Exponential Weighted Moving Average (EWMA) method, smoothing historical data and setting a dynamic confidence interval with a 95% confidence level; data points outside the interval trigger alarms. Furthermore, the controller introduces an intelligent alarm correlation analysis engine capable of identifying causal relationships between alarms. When multiple related alarms are triggered simultaneously, the controller automatically identifies the root cause alarm and derived alarms through topology graphs and time-series correlation analysis, avoiding alarm storms. The correlation analysis uses a Bayesian network model to calculate dependencies between alarms using conditional probability, achieving an accuracy rate of 87%. For example, when detecting an abnormal cabinet temperature of 100°C and multiple IT device overheating alarms, the controller can determine whether it's a cooling system failure or a problem with a single IT device. Furthermore, the controller integrates a rule-based and knowledge graph-based decision support module. When an alarm is triggered, it not only provides alarm information but also simultaneously pushes handling suggestions and historical similar cases. The knowledge graph contains over 10,000 failure cases and solutions, matching current alarms with historical cases using semantic similarity algorithms. Similarity calculation employs a combination of cosine similarity and TF-IDF weighted methods. Alarm levels are divided into four levels: Information, Early Warning, Alert, and Emergency, with different notification strategies and response time requirements for each level. Information-level alerts are logged only; warning-level alerts are sent via the controller interface; alert-level alerts trigger SMS and email notifications; and emergency-level alerts trigger both phone calls and push notifications from the operations and maintenance (O&M) app. The controller supports an alarm escalation mechanism: if a low-level alarm is not handled within a specified time, it will automatically escalate and notify higher-level O&M personnel, ensuring timely resolution. The escalation strategy is configurable; a typical setting is that an alert unhandled for 30 minutes escalates to a warning, and a warning unhandled for 15 minutes escalates to an emergency. The controller also implements alarm suppression functionality, preventing the same issue from repeatedly triggering alarms within a short period by setting a minimum alarm interval (default 5 minutes) and an alarm count threshold (default 3 times), thus reducing the workload of O&M personnel.

[0048] In some embodiments, the controller is initialized within the IT equipment asset monitoring cabinet. Specifically, hardware devices such as positioning sensors, data reading devices, temperature and humidity sensors, current sensors, and indicator lights are installed in the cabinet 100 according to design requirements, ensuring a normal communication connection with the controller. Temperature and humidity sensors must be deployed away from areas with strong airflow, and reference values ​​must be calibrated to ensure data reliability. The electronic tags 500 must be bound to the IT equipment asset information and installed on the IT equipment to avoid physical obstruction affecting signal transmission. IT equipment is placed one by one into its corresponding U-position within the cabinet 100. Basic information for each IT device and various alarm parameters are entered into the controller to complete the system initialization. The basic information of the IT equipment includes model, serial number, and initial placement U-position, while the alarm parameters include the permissible movement range of the device and the normal range of various operating parameters.

[0049] In some embodiments, this describes the daily operation and monitoring of an IT equipment asset monitoring cabinet. Specifically, during normal operation of the cabinet, the controller continuously collects information from each storage unit (U) and the IT equipment. The controller processes this information according to a predetermined algorithm, monitoring the location and health status of the IT equipment in real time. When an alarm is detected, it promptly notifies maintenance personnel and remotely illuminates the corresponding indicator light based on the alarm type. Maintenance personnel, based on the received alarm information and indicator light color cues, quickly arrive at the site to inspect and resolve the problematic IT equipment.

[0050] In some embodiments, maintenance and upgrades are performed on IT equipment asset monitoring cabinets. Specifically, regular maintenance is carried out on hardware devices such as controllers, positioning sensors, data reading devices, electronic tags 500, current sensors, and U-position indicator lights to ensure their normal operation. Current sensors require regular zero-point drift calibration, and positioning sensors require cleaning of the sensing surface and checking signal coverage consistency. Simultaneously, based on the development needs of the data center and problems discovered during actual operation, the controller's software algorithms or alarm parameters are adjusted and upgraded in a timely manner to continuously improve the system's monitoring accuracy and management efficiency.

[0051] In some embodiments, the IT equipment asset monitoring cabinet achieves precise positioning within 100 unit spaces and real-time synchronous monitoring of IT equipment health status through deep hardware and software integration. This solves the pain point of traditional manual inspections or simple monitoring systems struggling to accurately grasp the physical location and health status of equipment. The controller not only triggers alarms when IT equipment is illegally displaced, but also combines IT equipment operating parameters to determine abnormal health status, forming a multi-dimensional proactive early warning mechanism. The introduction of a remotely controllable indicator light and alarm system significantly improves operational response efficiency. By customizing indicator light colors or flashing types to map different alarm levels, maintenance personnel can quickly locate problematic cabinets and unit spaces, achieving two-way linkage between alarm information and physical location. This transforms traditional passive fault handling into proactive preventative maintenance, improving overall operational efficiency by over 60% while reducing the risk of human error.

[0052] It is understood that the content of the above method embodiments is applicable to the present device embodiments. The specific functions implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0053] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0054] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0055] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0056] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0057] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0058] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0059] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. An IT equipment asset monitoring cabinet, characterized in that, include: Cabinet: A heat dissipation channel is provided on the cabinet. A partition, wherein the partition is disposed inside the cabinet; Guide rail, which is disposed at the connection between the partition and the cabinet; A data reading device, wherein the data reading device is mounted on the guide rail; An electronic tag, wherein the electronic tag is affixed to the IT device; A temperature and humidity sensor is disposed within the heat dissipation channel; The controller is communicatively connected to the data reading device and the temperature and humidity sensor.

2. The IT equipment asset monitoring cabinet according to claim 1, characterized in that, There are multiple partitions, which are used to divide the cabinet into multiple spaces and to accommodate the IT equipment.

3. The IT equipment asset monitoring cabinet according to claim 1, characterized in that, The electronic tag is equipped with a three-axis accelerometer, which is used to monitor the unauthorized movement of the IT device. The three-axis accelerometer is communicatively connected to the controller.

4. The IT equipment asset monitoring cabinet according to claim 1, characterized in that, The guide rail includes a first guide rail and a second guide rail. The first guide rail and the second guide rail include a first slide rail, a first fixed rail, a second slide rail and a second fixed rail. The first slide rail and the second slide rail are disposed on both sides of the partition. The first fixed rail and the second fixed rail are disposed on both sides inside the cabinet. The first slide rail is movably connected to the first fixed rail, and the second slide rail is movably connected to the second fixed rail.

5. An IT equipment asset monitoring cabinet according to claim 4, characterized in that, The data reading device is mounted on the first fixed rail, and the electronic tag is mounted on the IT device and located on one side of the first slide rail.

6. An IT equipment asset monitoring cabinet according to claim 5, characterized in that, The electronic tag includes a radio frequency identification electronic tag or a Bluetooth electronic tag; When the electronic tag is a radio frequency identification (RFID) electronic tag, the data reading device is an RFID reader / writer; When the electronic tag is a Bluetooth electronic tag, the data reading device is a Bluetooth card reader.

7. An IT equipment asset monitoring cabinet according to claim 1, characterized in that, It also includes multiple functional piles, which are vertically fixed to the inside of the cabinet, and the data reading device and the temperature and humidity sensor are mounted on the functional piles.

8. An IT equipment asset monitoring cabinet according to claim 7, characterized in that, It also includes a positioning sensor, which is mounted on the functional pile or the guide rail and is communicatively connected to the controller.

9. An IT equipment asset monitoring cabinet according to claim 7, characterized in that, It also includes multiple current sensors, which are mounted on the functional pile or the guide rail, and the current sensors are communicatively connected to the controller.

10. An IT equipment asset monitoring cabinet according to claim 1, characterized in that, It also includes multiple indicator lights, which are located inside the cabinet and are communicatively connected to the controller.

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