A server cabinet fault monitoring system based on big data

Abstract

The invention discloses a server cabinet fault monitoring system based on big data, which belongs to the technical field of server cabinets, and specifically comprises: measuring the internal temperature of the cabinet by setting a temperature sensor; controlling the emission and shutoff of the laser inside the cabinet based on a transmitting end, a reflector and a receiving end corresponding to the positions of the temperature sensor one by one, the reflector enables the laser to propagate in the cabinet according to a set path, and measuring the actual transmitted light intensity of the laser after passing through the cabinet air by a photoelectric sensor at the reflector or the receiving end; obtaining the corresponding air absorption coefficient according to the internal temperature, and calculating the corresponding expected transmitted light intensity based on the incident light intensity of the laser, calculating the difference between the expected transmitted light intensity and the actual transmitted light intensity, and when the difference is greater than an error threshold, judging that the temperature sensor inside the cabinet is faulty or the installation position is unreasonable; prompting the judged fault result in a set form; the invention accurately locates the position of the temperature sensor with a problem.

Description

Technical Field

[0001] The present invention relates to the technical field of server cabinets, and in particular to a server cabinet fault monitoring system based on big data. Background Art

[0002] With the rapid development of information technology, data centers, as core facilities for information processing and storage, are critical to business continuity in terms of stability and reliability. Server cabinets are an important part of data centers, and their internal temperature directly affects the performance and life of server hardware. Too high or too low temperatures may cause hardware failures or even system downtime, causing huge economic losses to enterprises. Therefore, it is particularly important to monitor the internal temperature of server cabinets in real time and detect potential problems in a timely manner.

[0003] Traditional cabinet temperature monitoring methods mainly rely on temperature sensors such as thermocouples and thermistors. Although these sensors can provide basic temperature data, they have many shortcomings. First, since the server generates a certain amount of heat when it is running, the temperature distribution inside the cabinet is uneven. Therefore, sensors installed in conventional positions can only measure the temperature at specific points and cannot fully reflect the temperature distribution inside the entire cabinet. Secondly, due to the accuracy limitations of the sensor itself and the influence of long-term operation, the measurement results may have large errors, which affects the judgment of the server temperature and cannot ensure the normal and stable operation of the server. It is necessary to analyze the problematic sensor locations. Summary of the invention

[0004] The purpose of the present invention is to provide a server cabinet fault monitoring system based on big data to solve the following technical problems:

[0005] The conventional setting of the temperature sensor cannot fully reflect the temperature distribution inside the entire cabinet; and due to the accuracy limitations of the sensor itself and the influence of long-term operation, the measurement results may have large errors, and it is necessary to analyze the problematic sensor location.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A server cabinet fault monitoring system based on big data, comprising:

[0008] A temperature acquisition module is used to measure the internal temperature of the server cabinet through a temperature sensor disposed inside the server cabinet, and the number of the temperature sensors is marked as n;

[0009] The laser emission module is used to control the emission and shutoff of the laser inside the cabinet, including a transmitting end, a receiving end and m reflective plates, where m=n-1. All the m reflective plates correspond to the positions of the first m temperature sensors. The reflective plates are used to make the laser propagate along a set path inside the cabinet. The receiving end corresponds to the position of the last temperature sensor.

[0010] The light intensity collection module is used to measure the actual transmitted light intensity of the laser after passing through the cabinet air through a reflector or a photoelectric sensor at the receiving end;

[0011] A data processing module, used to obtain the corresponding air absorption coefficient according to the internal temperature, and calculate the corresponding expected transmission light intensity based on the incident light intensity of the laser, compare the expected transmission light intensity with the actual transmission light intensity, and calculate the difference between the two. When the difference is greater than an error threshold, it is determined that the internal temperature sensor of the cabinet is faulty or the installation position is unreasonable;

[0012] The fault alarm module is used to prompt the fault result determined by the data processing module in a set form;

[0013] The long-term monitoring module is used to set a fixed period and compare the expected transmitted light intensity of the laser after passing through the cabinet air with the actual transmitted light intensity every fixed period.

[0014] As a further solution of the present invention: in the data processing module, the calculation formula for the estimated transmitted light intensity is:

[0015] ;

[0016] ;

[0017] Among them, I 0 Indicates the incident laser light intensity at the transmitting end, I n represents the expected transmitted light intensity, n is the number of temperature sensors, a k represents the absorption coefficient of air under the temperature data collected by the kth temperature sensor, C represents the air concentration, L k It represents the distance that the laser travels between the k-1th temperature sensor and the kth temperature sensor.

[0018] As a further solution of the present invention: each of the reflection plates is used to reflect the laser to the next adjacent reflection plate in turn, forming a reflection path of the laser in the internal space of the cabinet.

[0019] As a further solution of the present invention: the photoelectric sensor is arranged on the back side of the reflective plate, and each photoelectric sensor, the reflective plate and the temperature sensor together constitute a measuring point.

[0020] As a further solution of the present invention: the specific process of judging whether the temperature sensor is faulty or the installation position is unreasonable is as follows:

[0021] Step 1: Control the reflection plate to rotate through the light intensity acquisition module to expose the photoelectric sensor. The order of the reflection plate rotation is m, m-1, ..., 1. The actual transmitted light intensity of the laser is measured at each rotation, and the corresponding expected transmitted light intensity is calculated. The corresponding difference is calculated to obtain the difference sequence D m , D m-1 , ..., D 1 ;

[0022] Step 2: Mark the error threshold in the data processing module as na, and set the difference sequence D m , D m-1 , ..., D 1 The corresponding error threshold sequence is ma, (m-1)a, ..., a. The first difference smaller than the corresponding error threshold is selected, and the measurement point corresponding to the difference is selected and marked as a normal measurement point.

[0023] Step 3: Mark the light propagation direction as the positive direction, and mark all measurement points after the measurement point in the positive and reverse directions as pending measurement points. For the pending measurement points, calculate the difference D of each pending measurement point. i The difference D between the adjacent undetermined measurement point in the opposite direction i-1 The difference |D i -D i-1 |;

[0024] Step 4: If |D i -D i-1 |≥1.1a, it means that the temperature sensor at the i-th measurement point is faulty or its installation position is unreasonable, and the pending measurement points are screened in turn until they reach the normal measurement point.

[0025] As a further solution of the present invention: if |D i -D i-1 |<1.1a, it means that the temperature sensor at the i-th measurement point is a normal sensor.

[0026] As a further solution of the present invention: the light intensity collection module controls the rotation of the reflection plate through a stepping motor.

[0027] As a further solution of the present invention: the setting method of the fault alarm module includes but is not limited to sound, light and user interface prompt.

[0028] Beneficial effects of the present invention:

[0029] Based on the fact that temperature increase will affect the gas's absorption characteristics of light, the present invention creatively sets a laser transmitter in the server cabinet, controls the transmission path of the laser through a reflector, and calculates the expected intensity of the laser after passing through the transmission path based on the internal temperature of the cabinet measured by a temperature sensor and the set parameters, and compares the expected intensity with the measured expected intensity. When the difference between the two is large, it means that the temperature sensor may have failed, or the temperature sensor fails to reflect the actual temperature conditions of some areas due to uneven air temperature inside the cabinet, and there is a problem of unreasonable installation position. Therefore, the present invention can accurately locate the position of the problematic temperature sensor by analyzing the measurement points one by one, thereby prompting the operation and maintenance personnel to optimize the cabinet monitoring system, which can significantly improve the operation and maintenance efficiency and equipment reliability of the data center, reduce the probability of failure, and ensure the stable operation of the server. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 As shown, the present invention is a server cabinet fault monitoring system based on big data, comprising:

[0034] Temperature acquisition module: This module is responsible for real-time monitoring of the ambient temperature inside the server cabinet. It achieves this by installing multiple temperature sensors inside the cabinet. These sensors can continuously measure and record temperature data, providing basic information for subsequent analysis and decision-making. The number of temperature sensors is marked as n for identification and management in the system.

[0035] Laser emission module: This module controls the emission and shutoff of the laser inside the cabinet. It includes a transmitter, a receiver, and m reflectors (where m=n-1). The reflectors correspond to the positions of the first m temperature sensors, and are used to guide the laser to propagate along the set path inside the cabinet. The position of the last temperature sensor corresponds to the receiver, ensuring that the laser can cover the entire interior space of the cabinet.

[0036] Light intensity acquisition module: This module measures the actual transmitted light intensity of the laser after passing through the cabinet air through a photoelectric sensor installed on a reflector or receiving end. These data are crucial for calculating the absorption coefficient of the air because the absorption coefficient is affected by temperature changes.

[0037] Data processing module: This is the core part of the system, responsible for processing the collected data and making decisions. It obtains the corresponding air absorption coefficient based on the internal temperature and calculates the expected transmitted light intensity based on the incident light intensity of the laser. Then, the expected transmitted light intensity is compared with the actual transmitted light intensity and the difference between the two is calculated. If the difference exceeds the preset error threshold, the data processing module will determine that the temperature sensor inside the cabinet is faulty or the installation position is unreasonable.

[0038] Fault Alarm Module: Once the data processing module detects a potential problem, the fault alarm module will be activated. It will alert the operation and maintenance personnel in a set form (such as sound, light or user interface prompt) to inform them of the problem that needs to be checked and repaired immediately.

[0039] Long-term monitoring module: To continuously track the status of the cabinet, the long-term monitoring module automatically runs a check program according to a fixed cycle. At regular intervals, it compares the expected transmitted light intensity with the actual transmitted light intensity to promptly detect any possible performance degradation or malfunction signs.

[0040] The temperature acquisition module of the present invention uses a temperature sensor arranged inside the server cabinet to measure the internal temperature of the cabinet; the laser emission module controls the emission and shutoff of the laser inside the cabinet, and propagates the laser in the cabinet according to a set path through a reflector; the light intensity acquisition module measures the actual transmitted light intensity of the laser after passing through the cabinet air through a reflector or a photoelectric sensor at the receiving end; the data processing module obtains the corresponding air absorption coefficient according to the internal temperature, and calculates the expected transmitted light intensity based on the incident light intensity of the laser, compares the expected transmitted light intensity with the actual transmitted light intensity, and determines whether the temperature sensor inside the cabinet has a fault or is installed in an unreasonable position; the fault alarm module prompts the fault result determined by the data processing module in a set form; the long-term monitoring module sets a fixed period, and compares the expected transmitted light intensity after the laser passes through the cabinet air with the actual transmitted light intensity every fixed period, so as to continuously monitor the operating status of the data center.

[0041] In a preferred embodiment of the present invention, in the data processing module, the calculation formula for the estimated transmitted light intensity is:

[0042] ;

[0043] ;

[0044] Among them, I 0 Indicates the incident laser light intensity at the transmitting end, I n represents the expected transmitted light intensity, n is the number of temperature sensors, a k represents the absorption coefficient of air under the temperature data collected by the kth temperature sensor, C represents the air concentration, L k It represents the distance that the laser travels between the k-1th temperature sensor and the kth temperature sensor.

[0045] According to the Lambert-Beer law, when the laser passes through a gas medium to be measured, the light intensity will attenuate due to gas absorption, and the transmitted light intensity is I n =I 0 exp(-aCL), and in the present invention, since the gas temperature in the cabinet is not uniform, multiple temperature sensors are set to measure the cabinet temperature, so the transmission path of the laser in the cabinet is segmented. In each transmission path, the air absorption coefficient a and the laser transmission path L are different. Therefore, the present invention calculates the expected transmitted light intensity by the cumulative multiplication method. This accuracy helps to improve the accuracy of the system's judgment of the temperature sensor status. By incorporating the laser propagation distance L between each temperature sensor into the calculation, the formula ensures that the entire path from the transmitter to the receiver is monitored. This helps to fully evaluate the temperature distribution and potential fault points inside the cabinet.

[0046] In another preferred embodiment of the present invention, each of the reflection plates is used to sequentially reflect the laser to the next adjacent reflection plate, thereby forming a reflection path of the laser in the internal space of the cabinet.

[0047] The laser is reflected to the next adjacent reflector plate in turn through the reflector plate, forming a reflection path for the laser in the internal space of the cabinet, which can accurately monitor the temperature sensors at multiple locations inside the cabinet. This design enables the laser to cover the entire internal space of the cabinet, ensuring that each temperature sensor can be accurately measured. The laser reflection path formed by the reflector plate can be flexibly adjusted to accommodate cabinets of different sizes and shapes. This makes the system highly versatile and adaptable, and can meet the needs of different application scenarios.

[0048] In another preferred embodiment of the present invention, the photoelectric sensor is arranged on the back side of the reflective plate, and each photoelectric sensor, the reflective plate and the temperature sensor together constitute a measurement point.

[0049] The design adopts a modular structure, which is easy to install and maintain. Users can choose appropriate modules to combine according to actual needs to meet different monitoring needs. At the same time, the modular design is also conducive to the upgrade and expansion of the system, making it convenient for users to carry out subsequent function upgrades or performance optimization.

[0050] In a preferred case of this embodiment, the specific process of determining whether the temperature sensor is faulty or the installation position is unreasonable is as follows:

[0051] Step 1: Control the reflection plate to rotate through the light intensity acquisition module to expose the photoelectric sensor. The order of the reflection plate rotation is m, m-1, ..., 1. The actual transmitted light intensity of the laser is measured at each rotation, and the corresponding expected transmitted light intensity is calculated. The corresponding difference is calculated to obtain the difference sequence D m , D m-1 , ..., D 1 By controlling the rotation of the reflector and measuring the actual transmitted light intensity of the laser in sequence, the difference between the expected transmitted light intensity and the actual transmitted light intensity at each measurement point can be accurately calculated, thereby obtaining a set of difference sequences. This method improves the accuracy and reliability of the measurement and provides a reliable data basis for subsequent judgments.

[0052] Step 2: Mark the error threshold in the data processing module as na. Since the distance traveled by the laser to each measurement point is different, the difference sequence D is set. m , D m-1 , ..., D 1 The corresponding error threshold sequence in is ma, (m-1)a, ..., a, and then the first difference smaller than the corresponding error threshold is screened out, and the measurement point corresponding to the difference is selected and marked as a normal measurement point;

[0053] Step 3: Mark the light propagation direction as the positive direction, and mark all measurement points after the measurement point in the positive and reverse directions as pending measurement points. For the pending measurement points, calculate the difference D of each pending measurement point. i The difference D between the adjacent undetermined measurement point in the opposite direction i-1 The difference |D i -D i-1 |; When an error occurs at a measurement point, the values ​​measured at all subsequent measurement points will also have errors, so it is necessary to analyze whether the error of each measurement point is caused by itself or by the previous measurement point;

[0054] Step 4: If |D i -D i-1 |≥1.1a. It is normal for a certain error to increase due to the accuracy of the equipment every time the laser passes through a path. However, if the increased error is too large, it means that the temperature sensor at the i-th measurement point is faulty or the installation position is unreasonable. The pending measurement points are screened in turn until they are normal measurement points.

[0055] Furthermore, if |D i -D i-1 |<1.1a, it means that the temperature sensor at the i-th measurement point is a normal sensor.

[0056] It is worth noting that the light intensity collection module controls the rotation of the reflector plate via a stepper motor.

[0057] In another preferred embodiment of the present invention, when the monitoring system detects that the temperature sensor is faulty or the installation position is unreasonable, the fault alarm module can alert the operation and maintenance personnel by issuing a specific sound signal. This sound signal can be a pre-recorded voice prompt or a specific alarm sound. The sound alarm is intuitive and immediate, and can quickly attract the attention of the operation and maintenance personnel.

[0058] Lighting: In addition to sound alarms, the fault alarm module can also sound an alarm by controlling the lights inside the cabinet. For example, a specific LED light can be set to flash or change color when a fault is detected. Lighting alarms have the advantages of strong visual impact and easy identification, especially in noisy or dimly lit environments, and can more effectively attract the attention of operation and maintenance personnel.

[0059] User interface prompts: For data centers with remote monitoring functions, the fault alarm module can also send alarm information to operation and maintenance personnel through the user interface. This information can include detailed information such as fault type, occurrence time, possible impact, etc., which helps operation and maintenance personnel quickly understand the fault situation and take corresponding measures. The user interface prompts have the advantages of large amount of information and strong customizability, which can meet the needs of different operation and maintenance personnel.

[0060] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A server cabinet fault monitoring system based on big data, It is characterized in that include: A temperature acquisition module is used to measure the internal temperature of the server cabinet through a temperature sensor disposed inside the server cabinet, and the number of the temperature sensors is marked as n; The laser emission module is used to control the emission and shutoff of the laser inside the cabinet, including a transmitting end, a receiving end and m reflective plates, where m=n-1. All the m reflective plates correspond to the positions of the first m temperature sensors. The reflective plates are used to make the laser propagate along a set path inside the cabinet. The receiving end corresponds to the position of the last temperature sensor. The light intensity collection module is used to measure the actual transmitted light intensity of the laser after passing through the cabinet air through a reflector or a photoelectric sensor at the receiving end; A data processing module, used to obtain the corresponding air absorption coefficient according to the internal temperature, and calculate the corresponding expected transmission light intensity based on the incident light intensity of the laser, compare the expected transmission light intensity with the actual transmission light intensity, and calculate the difference between the two. When the difference is greater than an error threshold, it is determined that the internal temperature sensor of the cabinet is faulty or the installation position is unreasonable; The fault alarm module is used to prompt the fault result determined by the data processing module in a set form; The long-term monitoring module is used to set a fixed period and compare the expected transmitted light intensity of the laser after passing through the cabinet air with the actual transmitted light intensity every fixed period.

2. According to the big data-based server cabinet fault monitoring system of claim 1, It is characterized in that In the data processing module, the calculation formula for the estimated transmitted light intensity is: ； ； Among them, I 0 Indicates the incident laser light intensity at the transmitting end, I n represents the expected transmitted light intensity, n is the number of temperature sensors, a k represents the absorption coefficient of air under the temperature data collected by the kth temperature sensor, C represents the air concentration, L k It represents the distance that the laser travels between the k-1th temperature sensor and the kth temperature sensor.

3. According to the server cabinet fault monitoring system based on big data in claim 1, It is characterized in that Each of the reflection plates is used to reflect the laser to the next adjacent reflection plate in sequence, forming a reflection path of the laser in the internal space of the cabinet.

4. According to the big data-based server cabinet fault monitoring system of claim 1, It is characterized in that The photoelectric sensor is arranged on the back of the reflective plate, and each photoelectric sensor, the reflective plate and the temperature sensor together constitute a measuring point.

5. A server cabinet fault monitoring system based on big data according to claim 4, It is characterized in that The specific process of judging whether the temperature sensor is faulty or installed in an unreasonable position is as follows: Step 1: Control the reflection plate to rotate through the light intensity acquisition module to expose the photoelectric sensor. The order of the reflection plate rotation is m, m-1, ..., 1. The actual transmitted light intensity of the laser is measured at each rotation, and the corresponding expected transmitted light intensity is calculated. The corresponding difference is calculated to obtain the difference sequence D m , D m-1 , ..., D 1 ; Step 2: Mark the error threshold in the data processing module as na, and set the difference sequence D m , D m-1 , ..., D 1 The corresponding error threshold sequence is ma, (m-1)a, ..., a. The first difference smaller than the corresponding error threshold is selected, and the measurement point corresponding to the difference is selected and marked as a normal measurement point. Step 3: Mark the light propagation direction as the positive direction, and mark all measurement points after the measurement point in the positive and reverse directions as pending measurement points. For the pending measurement points, calculate the difference D of each pending measurement point. i The difference D between the adjacent undetermined measurement point in the opposite direction i-1 The difference |D i -D i-1 |; Step 4: If |D i -D i-1 |≥1.1a, it means that the temperature sensor at the i-th measurement point is faulty or its installation position is unreasonable, and the pending measurement points are screened in turn until they reach the normal measurement point.

6. A server cabinet fault monitoring system based on big data according to claim 5, It is characterized in that If |D i -D i-1 |<1.1a, it means that the temperature sensor at the i-th measurement point is a normal sensor.

7. A server cabinet fault monitoring system based on big data according to claim 5, It is characterized in that The light intensity collection module controls the rotation of the reflection plate through a stepping motor.

8. A server cabinet fault monitoring system based on big data according to claim 1, It is characterized in that The setting methods of the fault alarm module include but are not limited to sound, light and user interface prompts.

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