Base station device, information processing method, and information processing program

Abstract

The present invention integrally and uniformly manages hardware of a plurality of different vendors. This base station device (100) comprises a control unit (130) that: acquires hardware information and KPI information pertaining to hardware to be monitored, and a prompt for instructing the output of monitoring results using an integrated index pertaining to an instruction of content for monitoring the hardware of the plurality of different vendors; inputs the hardware information, the KPI information, and the prompt to a trained machine learning model; and generates the monitoring results of the hardware to be monitored.

Description

Base Station Device, Information Processing Method, and Information Processing Program

[0001] The present invention relates to a base station device, an information processing method, and an information processing program.

[0002] Conventionally, a technique for collecting and managing (or monitoring) hardware information of a plurality of different vendors (sellers) is known.

[0003] Japanese Patent No. 7436737, Japanese Unexamined Patent Application Publication No. 2014 - 157622

[0004] The base station device according to the present application acquires a prompt for instructing the output of a monitoring result using a unified index regarding hardware information and KPI information related to the hardware to be monitored and instructions for monitoring contents for hardware of a plurality of different vendors, inputs the hardware information, KPI information, and the prompt into a learned machine learning model, and has a control unit that generates a monitoring result of the hardware to be monitored.

[0005] FIG. 1 is an explanatory diagram for explaining a multi - vendor network according to an embodiment. FIG. 2 is a diagram showing a configuration example of an information processing system according to an embodiment. FIG. 3 is a diagram (1) showing an example of information processing according to an embodiment. FIG. 4 is a diagram (2) showing an example of information processing according to an embodiment. FIG. 5 is a diagram showing a configuration example of a base station device according to an embodiment. FIG. 6 is a diagram showing an example of a hardware information storage unit according to an embodiment. FIG. 7 is a flowchart showing an example of information processing according to an embodiment. FIG. 8 is a hardware configuration diagram showing an example of a computer that realizes the functions of an information processing device.

[0006] Hereinafter, embodiments for implementing the base station device, information processing method, and information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail with reference to the drawings. Note that the base station device, information processing method, and information processing program according to the present application are not limited by this embodiment. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and duplicate explanations are omitted.

[0007] (Embodiment) [1. Introduction] Conventional multi-vendor network systems use different interfaces and protocols for each vendor, making it impossible to manage hardware from multiple different vendors in an integrated and unified manner. As a result, it was not possible to accurately grasp the performance of the entire system, and data collection and analysis were performed individually, making it impossible to efficiently perform anomaly detection and predictive maintenance.

[0008] Furthermore, by utilizing a technology called "AI-RAN," which combines AI (Artificial Intelligence) with next-generation mobile networks, base stations can cooperate with each other to optimize the entire area, enabling effective information provision. Utilizing such RIC (RAN Intelligent Controller) technology allows for operational optimization.

[0009] This invention has been made in view of the above, and aims to provide integrated and unified management of hardware from multiple different vendors. In the embodiments described below, in order to provide a platform that can integrate and unify the management of hardware from different vendors, data collection and analysis are performed using a common API (Application Programming Interface) while utilizing AI, which is a pre-trained machine learning model. This enables integrated and unified management, and also improves the efficiency of anomaly detection and predictive maintenance.

[0010] The multi-vendor network system according to this embodiment is a hardware management (monitoring) system using a radio access network. This network includes a Radio Unit (RU), a Distributed Unit (DU), and a Center Unit (CU), connected in that order. The RU controls antennas and radio waves, the DU controls signal modulation and demodulation, and the CU controls surrounding RUs and DUs. In addition, the RU, DU, and CU each perform data transmission, reception, and control.

[0011] Figure 1 is an explanatory diagram illustrating a multi-vendor network according to an embodiment. N1 is the RU of company A, N2 is the DU of company B, and N3 is the CU of company B. In N2, DU software and general-purpose software are used simultaneously, and in N3, CU software and general-purpose software are used simultaneously. The general-purpose software can be any software, for example, and is not particularly limited.

[0012] [2. Configuration of the Information Processing System] The information processing system 1 shown in Figure 2 will now be described. As shown in Figure 2, the information processing system 1 includes an operator terminal 10, a vendor device 20, and a base station device 100. The operator terminal 10, the vendor device 20, and the base station device 100 are connected to each other via a predetermined communication network (network N) by wired or wireless means. Figure 2 is a diagram showing an example of the configuration of the information processing system 1 according to this embodiment.

[0013] The operator terminal 10 is an information processing device used by the operator. The operator is, for example, a monitor who manages (monitors) the hardware of multiple different vendor devices 20. The operator can be any type of business operator, and is not particularly limited. For example, the operator could be the operator of the base station equipment 100. The operator terminal 10 may be, for example, a smartphone, a tablet device, a notebook PC, a desktop PC, a mobile phone, or a PDA. Figure 2 shows the case where the operator terminal 10 is a smartphone.

[0014] The operator terminal 10 is, for example, a smart device such as a smartphone or smart glasses, and is a portable terminal device that can communicate with any server device via a wireless communication network such as 4G to 5G (Generation) or LTE (Long Term Evolution). The operator terminal 10 may also have a screen such as an LCD display with touch panel functionality, and may accept various operations on displayed data such as content from the operator using a finger or stylus, such as tapping, sliding, and scrolling. In Figure 2, the operator terminal 10 is used by operator U1.

[0015] The vendor device 20 is an information processing device for hardware that is the target of management (or monitoring), and can be any device as long as it can realize the processing in the embodiment. In Figure 2, there is one vendor device 20, but in reality there are multiple. That is, the information processing system 1 has vendor devices 20 １ , Bender device 20 ２ As such, multiple vendor devices 20 are included. For example, vendor device 20 of company A's vendor. １ and the vendoring device 20 of company B ２ As described above, it includes multiple vendor devices 20 from different vendors. For example, it may include RUs, DUs, and CUs from vendor A, and RUs, DUs, and CUs from vendor B.

[0016] The base station device 100 is a base station information processing device that has the function of integrating and unifying the hardware of multiple different vendor devices 20, and any information processing device may be used as long as it can realize the processing in the embodiment.

[0017] [3. An Example of Information Processing] Here, we will describe the information processing according to the embodiment. There are two cases in the embodiment: when the hardware of the vendor device 20 is constantly monitored, and when monitoring is performed at timings corresponding to the operator's actions. First, we will describe the information processing when the hardware is constantly monitored.

[0018] In the embodiments described below, an example of monitoring content is given as an instruction regarding the "communication error rate," but the system is not limited to this example. For example, instructions regarding "throughput," "received signal strength," or "abnormal disconnection rate" may also be given as monitoring content.

[0019] (Processing when hardware is constantly monitored) Figure 3 is a diagram (1) showing an example of information processing of the information processing system 1 according to the embodiment. The base station device 100 acquires information (hardware information) about the hardware of multiple different vendor devices 20 (step S11). Since there are multiple vendor devices 20, the base station device 100 acquires hardware information from each of the multiple vendor devices 20. For example, the base station device 100 acquires information from each of the vendor devices 20 １ Hardware information and vendor device 20 ２ Hardware information is acquired from each of the multiple vendor devices 20, such as acquiring hardware information from the base station device 100. In this case, for example, the base station device 100 may acquire this hardware information simultaneously and together, or it may acquire it one by one individually. The hardware information can be any information relating to hardware and is not particularly limited. The hardware information may already include monitoring result information (e.g., communication error rate, throughput, received signal strength, abnormal disconnection rate, etc.), or it may include information that allows for the analysis of this information. The hardware information may also include information representing the usage rate of memory, processor, HDD, etc. Furthermore, the format of the hardware information may differ depending on the vendor.

[0020] Furthermore, in step S11, the base station equipment 100 acquires KPI (Key Performance Indicator) information based on statistical information such as throughput, received signal strength, and retransmission rate collected by the DU and CU. For example, if "the received signal strength at a certain location has decreased compared to last year," environmental factors could include "the construction of an obstacle, such as a building," or a hardware failure could be "a decrease in the output of the RU." Operators need to detect these anomalies and take measures such as improving area design or replacing hardware, making KPI information crucial.

[0021] Furthermore, the base station device 100 receives a prompt instructing the vendor device 20 to output monitoring results using a unified index regarding the monitoring content instructions for the vendor device 20 hardware (step S12). For example, the base station device 100 receives a prompt from operator U1. The prompt is a prompt that instructs the monitoring content, such as what to monitor. For example, it could be text such as "Please tell me the communication error rate" or "Please output the monitoring results using a unified index." Since this is done via API, in this case, the monitoring results corresponding to the instruction "Please tell me the communication error rate" will be output.

[0022] The base station device 100 inputs the acquired hardware information, KPI information, and prompts to the AI ​​(step S13). Based on the input hardware information, KPI information, and prompts, the AI ​​extracts and analyzes information on the monitoring items to be monitored and outputs the results (step S14). The results are output as numerical values ​​or text indicating the status (e.g., "good status / bad status"). For example, the results are output as numerical values ​​or text indicating the abnormality level. Furthermore, the results are output using a unified index regardless of the vendor. For example, even if the communication status of company A's hardware is undesirable, or if the communication status of company B's hardware is undesirable, the same index is used to output the results consistently.

[0023] In step S14, if the prompt is an instruction such as "Please tell me the communication error rate," the AI ​​will determine the monitored item to be monitored as "communication." Therefore, the AI ​​will extract communication information and analyze the communication error rate to output the monitoring result. Furthermore, if the hardware information already contains information on the monitored item to be monitored, such as the communication error rate, the AI ​​will output that information as the monitoring result.

[0024] Then, the base station device 100 provides the output results output by the AI ​​to the operator terminal 10 (step S15). When the operator terminal 10 receives the output results from the base station device 100, it displays the received output results and information based on the output results.

[0025] Now, let's describe variations in information processing. In the above embodiment, the base station device 100 may, for example, acquire hardware information in real time and perform anomaly detection in real time.

[0026] Furthermore, in the above embodiment, the base station device 100 may perform anomaly detection by, for example, comparing the unified output result output by the AI ​​with a unified threshold.

[0027] Furthermore, in the above embodiment, the base station device 100 may perform abnormality detection based, for example, on changes in the time series of output results.

[0028] Furthermore, in the above embodiment, the base station device 100 may, for example, change the prompt or perform calibration if the output result is inconsistent (for example, if it is inconsistent with the previous result or inconsistent with other data). In this way, the base station device 100 may perform processing for changing the prompt or performing calibration based on the consistency of the output result.

[0029] Furthermore, in the above embodiment, if, for example, operator U1 requests to particularly monitor a specific monitoring item and instructs prompt changes or calibration, the base station device 100 may change the prompt or perform calibration in accordance with operator U1's instructions. In this way, the base station device 100 may perform processing for prompt changes or calibration in accordance with operator U1's instructions.

[0030] (Processing when monitoring is performed at a timing corresponding to the operator's operation) Next, the information processing when monitoring is performed at a timing corresponding to the operator's operation will be explained. Figure 4 is a diagram (2) showing an example of the information processing of the information processing system 1 according to the embodiment. Note that the explanation of the same processing as in Figure 3 will be omitted as appropriate. In response to the operation of operator U1, the operator terminal 10 sends a monitoring request (step S21). That is, in Figure 4, operator U1 makes a monitoring request. At this time, the operator terminal 10 may also simultaneously send a prompt according to the embodiment.

[0031] The base station device 100 acquires hardware information at the timing of the monitoring request received from the operator terminal 10 (step S22). In this case, for example, the base station device 100 may acquire hardware information at the timing of the monitoring request, or if the monitoring request includes a predetermined condition regarding the monitoring timing, such as "10 minutes later", it may acquire hardware information at the timing based on that condition. Then, the base station device 100 provides the monitoring results to the operator U1 by performing the same processing as in Figure 3.

[0032] [4. Configuration of the Base Station Device] Next, the configuration of the base station device 100 according to the embodiment will be described using Figure 5. Figure 5 is a diagram showing an example of the configuration of the base station device 100 according to the embodiment. As shown in Figure 5, the base station device 100 has a communication unit 110, a storage unit 120, and a control unit 130. The base station device 100 may also have an input unit (for example, a keyboard or mouse) that accepts various operations from the administrator of the base station device 100, and a display unit (for example, a liquid crystal display) for displaying various information.

[0033] (Communication Unit 110) The communication unit 110 is implemented by, for example, a NIC (Network Interface Card). The communication unit 110 is connected to the network N by wire or wireless connection and transmits and receives information to and from the operator terminal 10 via the network N.

[0034] (Storage Unit 120) The storage unit 120 is implemented by, for example, semiconductor memory elements such as RAM (Random Access Memory) and flash memory, or storage devices such as hard disks and optical discs. As shown in Figure 5, the storage unit 120 has a hardware information storage unit 121.

[0035] The hardware information storage unit 121 stores hardware information. Here, Figure 6 shows an example of the hardware information storage unit 121 according to this embodiment. As shown in Figure 6, the hardware information storage unit 121 has items such as "Vendor ID", "Monitoring 1", and "Monitoring 2".

[0036] "Vendor ID" indicates identification information for identifying the vendor. "Monitoring 1" indicates hardware information at the time the monitoring request was received. "Monitoring 2" indicates hardware information at a different time than "Monitoring 1" when the monitoring request was received. For example, hardware information includes information representing the usage rate of memory, processor, HDD, etc., and information representing communication throughput. Also, for example, the format of the stored hardware information differs from vendor to vendor, depending on the vendor. In the example shown in Figure 6, conceptual information such as "Hardware Information #11" and "Hardware Information #12" is shown to be stored in "Monitoring 1," but in reality, information such as numerical values ​​or text indicating the communication status is stored. In addition, information such as the time (date and time, etc.) indicating when the monitoring request was received may also be stored.

[0037] (Control Unit 130) The control unit 130 is a controller and is realized by executing various programs stored in the memory device inside the base station device 100 using RAM as the working area, using a CPU (Central Processing Unit) or MPU (Micro Processing Unit). The control unit 130 is also realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array).

[0038] As shown in Figure 5, the control unit 130 includes an acquisition unit 131, a generation unit 132, a detection unit 133, a supply unit 134, and a radio wave control unit 135, and realizes or executes the information processing operations described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in Figure 5, and other configurations are also acceptable as long as they perform the information processing described later.

[0039] (Acquisition Unit 131) The acquisition unit 131 acquires various types of information. The acquisition unit 131 acquires various types of information from external information processing devices. For example, the acquisition unit 131 acquires various types of information from other information processing devices such as the vendor device 20.

[0040] The acquisition unit 131 acquires various information from the storage unit 120. Also, the acquisition unit 131 stores the acquired various information in the storage unit 120.

[0041] The acquisition unit 131 acquires, for example, hardware information regarding the hardware to be monitored. For example, the acquisition unit 131 acquires hardware information of a plurality of different vendor devices 20. For example, the acquisition unit 131 acquires hardware information in real time. Also, for example, the acquisition unit 131 acquires hardware information at the timing of a monitoring request according to an operator's operation. Also, the acquisition unit 131 acquires, for example, KPI information. For example, the acquisition unit 131 acquires KPI information based on statistical information such as throughput, reception intensity, and retransmission rate collected by the DU or CU.

[0042] Also, the acquisition unit 131 acquires, for example, a prompt by an operator. For example, the acquisition unit 131 acquires a prompt (for example, a prompt regarding communication error, throughput, reception intensity, or abnormal disconnection rate) that instructs output of a monitoring result using a unified index regarding an instruction of monitoring content for the hardware of the vendor device 20.

[0043] (Generation unit 132) The generation unit 132 inputs, for example, the hardware information, KPI information, and prompt acquired by the acquisition unit 131 into the AI, and generates a monitoring result (monitoring result based on the monitoring content) of the hardware to be monitored. That is, the generation unit 132 inputs the hardware information, KPI information, and prompt into the AI, and causes the AI to output a monitoring result (for example, a numerical value of the communication error rate, etc.) based on the monitoring content.

[0044] The generation unit 132 generates a monitoring result based on, for example, the monitoring content of the prompt and information on the monitoring items to be monitored extracted from the hardware information. Specifically, the generation unit 132 causes the AI to extract information on the monitoring items to be monitored from the hardware information based on the monitoring content of the prompt, and causes the AI to output a monitoring result based on the information on the monitoring items.

[0045] (Detection Unit 133) The detection unit 133 performs anomaly detection, for example, based on the monitoring result generated by the generation unit 132. For example, the detection unit 133 performs anomaly detection by comparing the monitoring result with a predetermined threshold value. For example, the detection unit 133 performs anomaly detection in real time by comparing the monitoring result with a predetermined threshold value in real time.

[0046] (Provision Unit 134) The provision unit 134 provides information regarding the monitoring result generated by the generation unit 132, for example. For example, the provision unit 134 provides information regarding the detection result by the detection unit 133. For example, when an anomaly is detected by the detection unit 133, the provision unit 134 automatically issues an alert (such as a notification) via the API. Also, the provision unit 134 determines the provided information using, for example, prior art (such as "AI-RAN").

[0047] (Radio Wave Control Unit 135) The radio wave control unit 135 performs processes such as radio wave control, for example. That is, the radio wave control unit 135 performs all processes as a base station device.

[0048] [5. Information Processing Flow] Next, the procedure of information processing by the information processing system 1 according to the embodiment will be described using FIG. 7.

[0049] As shown in FIG. 7, the base station device 100 acquires hardware information and KPI information regarding the hardware to be monitored (step S101). Also, the base station device 100 acquires a prompt for instructing the output of a monitoring result using a unified index regarding the instructions for the monitoring content for the hardware of a plurality of different vendors (step S102). Also, the base station device 100 inputs the acquired hardware information, KPI information, and prompt into an AI (a learned machine learning model) to generate a monitoring result of the hardware to be monitored (step S103). Also, the base station device 100 provides information regarding the generated monitoring result (step S104).

[0050] [6. Effects] As described above, the base station device 100 according to the embodiment has a control unit 130 that acquires hardware information and KPI information regarding the hardware to be monitored, and a prompt that instructs the output of monitoring results using a unified index for instructions on monitoring content for hardware from multiple different vendors, inputs the hardware information, KPI information and the prompt into a trained machine learning model, and generates monitoring results for the hardware to be monitored.

[0051] As a result, the base station device 100 according to the embodiment can manage hardware from multiple different vendors in an integrated and unified manner. Furthermore, the base station device 100 according to the embodiment can monitor monitoring items in a unified format (such as numerical values) regardless of the vendor of hardware information (such as information obtained through monitoring) that is input. In addition, the base station device 100 according to the embodiment can accurately grasp the performance of the entire system and efficiently perform anomaly detection and predictive maintenance. Furthermore, the base station device 100 according to the embodiment can support root cause analysis of anomalies and predictive maintenance through integrated data analysis functions. Moreover, the information processing system 1 according to the embodiment can promote further utilization of multi-vendor networks, and thus can contribute to achieving Sustainable Development Goal (SDG) 9, "Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation."

[0052] Furthermore, the control unit 130 generates monitoring results based on the monitoring content and the information of the monitoring items to be monitored, which is extracted from the hardware information.

[0053] As a result, the base station device 100 according to this embodiment can efficiently perform anomaly detection and predictive maintenance, even when data analysis is complex, thereby promoting improved accuracy.

[0054] Furthermore, the control unit 130 acquires hardware information at the timing of monitoring requests corresponding to the operator's actions.

[0055] As a result, the base station device 100 according to the embodiment can promote improved usability for operators regarding anomaly detection and predictive maintenance.

[0056] Furthermore, the control unit 130 performs real-time anomaly detection by comparing the monitoring results with a predetermined threshold.

[0057] As a result, the base station device 100 according to this embodiment can automatically issue an alert via the API when an abnormality is detected, thereby prompting a quick response.

[0058] [7. Hardware Configuration] The base station device 100 according to the above-described embodiment is implemented by a computer 1000 having a configuration such as that shown in Figure 8. Figure 8 is a hardware configuration diagram showing an example of a computer that implements the functions of the base station device 100. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

[0059] The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400, and controls various parts. The ROM 1300 stores boot programs executed by the CPU 1100 when the computer 1000 starts up, as well as programs that depend on the computer 1000's hardware.

[0060] The HDD 1400 stores programs executed by the CPU 1100, as well as data used by such programs. The communication interface 1500 receives data from other devices via a predetermined communication network and sends it to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the predetermined communication network.

[0061] The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, via the input / output interface 1600. The CPU 1100 acquires data from input devices via the input / output interface 1600. The CPU 1100 also outputs the generated data to output devices via the input / output interface 1600.

[0062] The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700 and executes the loaded program. The recording medium 1800 can be, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), tape media, magnetic recording medium, or semiconductor memory.

[0063] For example, when the computer 1000 functions as a base station device 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the functions of the control unit 130 by executing a program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be obtained from other devices via a predetermined communication network.

[0064] Although some embodiments of the present invention have been described in detail above with reference to the drawings, these are illustrative examples, and the present invention can be implemented in various other forms with modifications and improvements based on the knowledge of those skilled in the art, starting with the embodiments described in the disclosure section of the invention.

[0065] [8. Others] Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by known methods. In addition, the processing procedures, specific names, and information including various data and parameters shown in the above documents and drawings can be changed at will unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown.

[0066] Furthermore, the components of each illustrated device are functionally conceptual and do not necessarily need to be physically configured as shown. In other words, the specific forms of distribution and integration of each device are not limited to those shown, and all or part of them can be functionally or physically distributed and integrated in any unit according to various loads and usage conditions.

[0067] Furthermore, the base station device 100 described above may be implemented using multiple server computers, and depending on the function, it may be implemented by calling external platforms via API or network computing, allowing for flexible configuration changes.

[0068] Furthermore, the embodiments described above can be combined as appropriate, as long as the processing content is not contradictory.

[0069] 1 Information Processing System 10 Operator Terminal 20 Vendor Device 100 Base Station Device 110 Communication Unit 120 Storage Unit 121 Hardware Information Storage Unit 130 Control Unit 131 Acquisition Unit 132 Generation Unit 133 Detection Unit 134 Provision Unit 135 Radio Wave Control Unit N Network

Claims

1. A base station device having a control unit that acquires hardware information and KPI information related to the hardware to be monitored, and a prompt that instructs the output of monitoring results using a unified indicator for instructions on monitoring content for hardware from multiple different vendors, and inputs the hardware information, the KPI information and the prompt into a trained machine learning model to generate monitoring results for the hardware to be monitored.

2. The base station device according to claim 1, wherein the control unit generates the monitoring result based on the monitoring content and on the information of the monitoring item to be monitored extracted from the hardware information.

3. The base station device according to claim 1, wherein the control unit acquires the hardware information at the timing of a monitoring request in response to an operator's operation.

4. The base station device according to claim 1, wherein the control unit compares the monitoring result with a predetermined threshold to perform anomaly detection in real time.

5. An information processing method executed by a computer, comprising a control step of acquiring hardware information and KPI information relating to hardware to be monitored, and a prompt instructing the output of monitoring results using a unified index for instructions on monitoring content for hardware from multiple different vendors, inputting the hardware information, the KPI information and the prompt into a trained machine learning model, and generating monitoring results for the hardware to be monitored.

6. An information processing program that causes a computer to execute a control procedure which involves acquiring hardware information and KPI information related to the hardware to be monitored, and a prompt instructing the computer to output monitoring results using a unified metric for instructions on monitoring content for hardware from multiple different vendors, inputting the hardware information, the KPI information and the prompt into a trained machine learning model, and generating monitoring results for the hardware to be monitored.

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