Machine room fault operation and maintenance system and method based on Internet of Things

Abstract

The invention discloses a machine room fault operation and maintenance system and method based on the Internet of Things, and relates to the technical field of machine room fault operation and maintaining.The machine room fault operation and maintenance system comprises a machine room monitoring module, a server and an execution terminal.The machine room fault operation and maintenance system conducts joint monitoring analysis on a tape library and an optical disc library, makes up for the defects in the prior art, guarantees data backup and recovery, and improves the reliability of machine room fault operation and maintenance. According to the method and the system, whether the tape library and the optical disc library of the machine room are abnormal or not is judged in the server when the machine room controls the tape library and the optical disc library, so that the data access efficiency is improved, and the security risk is reduced. Therefore, the operation efficiency of the whole system is improved, the fault occurrence rate of the tape library and the optical disc library is reduced, and system stability reduction is avoided. Normal operation of the industry of the machine room is maintained, and data loss or damage is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of computer room fault operation and maintenance, and in particular to a computer room fault operation and maintenance system and method based on the Internet of Things. Background Art

[0002] In today's digital and information age, the stability and reliability of computer rooms as core facilities for data storage, processing and transmission are crucial to business operations and social development. Computer rooms are key infrastructure that supports the operation of enterprise information systems. Once a failure occurs, it may lead to business interruption, causing huge economic losses and reputation damage to the enterprise. Through fault detection and analysis, problems can be discovered and solved in a timely manner to ensure business continuity. Therefore, it is important and necessary to detect and analyze faults in computer rooms.

[0003] The prior art, such as the invention application patent with announcement number: CN112910691B, discloses a method and device for detecting a computer room fault, comprising: obtaining the equipment operating parameters of the target computer room. According to a preset equipment fault prediction model and the equipment operating parameters, determining the faulty equipment in the target computer room, wherein the preset equipment fault prediction model is a neural network model pre-trained by applying a back propagation algorithm. Outputting the alarm information of the faulty equipment. On the basis of ensuring the accuracy of determining the location of the faulty equipment, the efficiency of locating the faulty equipment can be improved, thereby improving the safety of the operation of the equipment in the computer room.

[0004] Prior art, such as the invention application patent with announcement number: CN113010394B, discloses a method for detecting a computer room fault in a data center, including: based on a data acquisition platform, obtaining detection data of each device in the data center and sending it to the fault detection platform. Based on the fault detection platform, the detection data is analyzed to obtain abnormal data. The abnormal data is analyzed to determine the device where the fault occurs, and an alarm is issued. The faulty device is analyzed to determine the type of fault. By collecting data, the device where the fault occurs and the type of fault that occurs are determined, and subsequent fault repairs are assisted, eliminating the need for staff to conduct investigations and improving detection efficiency.

[0005] Combining the above solutions, it can be found that in the prior art, there is little fault detection for the computer room for tape libraries and optical disk libraries, which in turn affects data backup and recovery, increases the cost of repairing and replacing equipment, affects the data processing efficiency of the entire computer room, and leads to a decline in system performance. For example, a slower reading speed will directly affect the performance of applications that rely on these devices, leading to data leakage or access by unauthorized personnel, increasing security risks. At the same time, the computer room's performance in controlling tape libraries and optical disk libraries is not highly concerned. As data storage devices, tape libraries and optical disk libraries, if the control performance is poor, may lead to low data access efficiency, thereby affecting the operating efficiency of the entire system, and tape libraries and optical disk libraries are prone to failure, resulting in a decline in system stability. It has a serious impact on the normal operation of the industry to which the computer room belongs, and may even cause data loss or damage. Summary of the invention

[0006] The purpose of the present invention is to provide a computer room fault operation and maintenance system and method based on the Internet of Things, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The first aspect of the present invention provides a computer room fault operation and maintenance system based on the Internet of Things, including: a computer room monitoring module, a server and an execution terminal.

[0008] The computer room monitoring module is used to monitor the tape library and the optical disk library in the computer room, and obtain the mechanical data, control data, and usage data of the tape library and the mechanical data, control data, and usage data of the optical disk library.

[0009] The server comprises a tape library fault analysis module and an optical disk library fault analysis module. The tape library fault analysis module is used to generate fault parameters of the tape library in the computer room, and the optical disk library fault analysis module is used to generate fault parameters of the optical disk library in the computer room.

[0010] The processing terminal is used to generate the tape group label, the optical disk group label and the control abnormality level of the machine room, and display them visually.

[0011] The second aspect of the present invention provides a method for executing the Internet of Things-based computer room fault operation and maintenance system described in the present invention, including: W1. Monitoring the tape library and optical disk library in the computer room to obtain the mechanical data, control data, usage data of the tape library and the mechanical data, control data and usage data of the optical disk library.

[0012] W2. Generate fault parameters for the tape library in the computer room, and generate fault parameters for the optical disk library in the computer room.

[0013] W3. Generate tape group labels, optical disk group labels and control abnormality levels for the computer room, and display them visually.

[0014] The beneficial effects of the present invention are as follows: (1) The present invention monitors the tape library and the optical disk library of the computer room in the computer room monitoring module, and then obtains the tape library-related data and the optical disk library-related data of the computer room, laying a data foundation for the subsequent analysis of the tape library and the optical disk library.

[0015] (2) The present invention first determines whether the mechanical data of the tape, the control of the tape library, and the use of the tape are abnormal in the server, and then generates the fault parameters of the tape library in the computer room, and determines whether the mechanical data of the optical disk, the control of the optical disk library, and the use of the optical disk are abnormal, and generates the fault parameters of the optical disk library, and performs joint monitoring and analysis on the tape library and the optical disk library, which makes up for the deficiencies in the prior art, ensures data backup and recovery, reduces the cost of repairing and replacing equipment, improves the data processing efficiency of the entire computer room, maintains the stability of system performance, avoids data leakage or access by unauthorized personnel, and reduces security risks.

[0016] (3) The present invention detects whether the computer room is abnormal in controlling the tape library and the optical disk library in the server, thereby overcoming the shortcomings of the prior art, thereby improving the data access efficiency, thereby improving the operating efficiency of the entire system, reducing the failure rate of the tape library and the optical disk library, and avoiding the decline of system stability. Maintaining the normal operation of the industry to which the computer room belongs and avoiding data loss or damage. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a schematic diagram of the system structure connection of the present invention.

[0019] Figure 2 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0020] 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.

[0021] Reference Figure 1As shown, the present invention provides a computer room fault operation and maintenance system based on the Internet of Things, including: a computer room monitoring module, a server and an execution terminal.

[0022] It should be noted that the server also includes a database for storing the original image of each tape, the risk factor corresponding to each defect type of the tape per unit area, the reference tape mechanical quality threshold, the standard control data corresponding to each transmission instruction of the tape library at each transmission, the allowable abnormal transmission ratio of each transmission instruction of the tape library, the safety tension data set, the allowable signal defect type set, the safety environment data set, the tape usage abnormality assessment threshold, the original image of each optical disc, the risk factor corresponding to each defect type of the optical disc per unit area, the safety feature data set, and the optical disc usage abnormality assessment threshold.

[0023] It should also be noted that the computer room monitoring module is connected to the server, the server is connected to the execution terminal, and the database is connected to the tape library fault analysis module and the optical disk library fault analysis module respectively.

[0024] The computer room monitoring module is used to monitor the tape library and the optical disk library in the computer room, and obtain the mechanical data, control data, and usage data of the tape library and the mechanical data, control data, and usage data of the optical disk library.

[0025] In a specific embodiment of the present invention, the mechanical data of the tape library includes an apparent image of each tape.

[0026] It should be noted that the apparent images of the magnetic tapes are specifically obtained through monitoring cameras.

[0027] The control data of the tape library includes control data corresponding to various transmission instructions at each transmission.

[0028] It should be noted that the control data corresponding to each transmission instruction of the tape library during each transmission is specifically obtained through the control platform of the computer room.

[0029] The usage data of the tape library includes a tension data set, a signal defect type set and an environment data set of each tape at each use.

[0030] It should be noted that the signal defect types include distortion, noise and interference.

[0031] It should also be noted that the tension data set, signal defect type and environment data set of each magnetic tape at each use are acquired through a tension sensor, a signal analyzer and a magnetic field strength sensor respectively.

[0032] The mechanical data of the optical disk library includes the appearance image of each optical disk.

[0033] It should be noted that the apparent image of each optical disc is obtained by monitoring camera.

[0034] The control data of the optical disk library includes control data corresponding to various transmission instructions at each transmission.

[0035] It should be noted that the control data corresponding to each transmission instruction of the optical disk library during each transmission is specifically obtained through the control platform of the computer room.

[0036] The usage data of the optical disc library includes a set of characteristic data of each optical disc at each use.

[0037] It should be noted that the characteristic data set of each optical disc at each use is obtained through the magnetic field intensity sensor, the temperature sensor and the dust counter.

[0038] The present invention monitors the tape library and the optical disk library of the computer room in the computer room monitoring module, and then obtains the tape library related data and the optical disk library related data of the computer room, laying a data foundation for the subsequent analysis of the tape library and the optical disk library.

[0039] The server comprises a tape library fault analysis module and an optical disk library fault analysis module. The tape library fault analysis module is used to generate fault parameters of the tape library in the computer room, and the optical disk library fault analysis module is used to generate fault parameters of the optical disk library in the computer room.

[0040] In a specific embodiment of the present invention, the fault parameters of the tape library in the computer room are generated by a specific generation method: the surface image of each magnetic tape is extracted from the mechanical data of the tape library, and it is determined whether the mechanical data of each magnetic tape is abnormal, and each magnetic tape with abnormal mechanical data is recorded as a mechanical abnormal tape, thereby obtaining each mechanical data abnormal tape of the tape library.

[0041] The control data corresponding to each type of transmission instruction at each transmission is extracted from the control data of the tape library, and it is determined whether the control of the tape library is abnormal. If the control of the tape library is abnormal, a tape library control abnormal signal is output, otherwise, a tape library control normal signal is output.

[0042] The tension data set, signal defect type set and environmental data set of each tape at each use are extracted from the usage data of the tape library to determine whether each tape is used abnormally. Each tape with abnormal use is recorded as an abnormal use tape, thus obtaining the abnormal use tapes of the tape library.

[0043] Based on the tape library control abnormal signal, each machine data abnormal tape, and each use abnormal tape, the fault parameters of the tape library in the computer room are generated.

[0044] In a specific embodiment of the present invention, the specific method for determining whether the mechanical data of each tape is abnormal is as follows: based on the surface image of each tape, the defect parameters and label text set of each tape are obtained by image recognition technology, wherein the defect parameters include each defect type and its corresponding area. , and randomly select each test point from each connection of each tape, and obtain the width of each test point at each connection of each tape, is the number of each tape, , is any integer greater than 2, is the number of each defect type, , is any integer greater than 2.

[0045] It should be noted that the defect types of the magnetic tape include scratches, cracks, etc.

[0046] The original image of each tape is obtained from the database, and the label text set of each tape and the width of each connection are obtained therefrom, which are recorded as the original label text set of each tape and the original width of each connection respectively.

[0047] Collect the defect parameters and label text of each tape , original label text set , the original width of each connection and the width of each test point Import into tape mechanical anomaly assessment model In the output, the mechanical data abnormal value of each tape is output, wherein the mechanical data abnormal value of the tape includes the values ​​of 1 and -1. When the mechanical data abnormal value of the tape is 1, it indicates that the mechanical data of the tape is abnormal. When the mechanical data abnormal value of the tape is -1, it indicates that the mechanical data of the tape is normal.

[0048] In the formula is the risk factor per unit area corresponding to the j-th defect type of the tape stored in the database, is the reference tape mechanical quality threshold stored in the database, is the number of each connection, , is any integer greater than 2, is the number of each test point, , is any integer greater than 2, , are the number of connections and the number of test points, respectively.

[0049] In a specific embodiment of the present invention, the specific judgment method for judging whether the control of the tape library is abnormal is as follows: based on the control data corresponding to each type of transmission instruction of the tape library at each transmission, the standard control data corresponding to each type of transmission instruction of the tape library at each transmission is obtained from a database, so as to determine the control characteristic values ​​of each type of transmission instruction of the tape library at each transmission, wherein the control characteristic values ​​include values ​​of 1 and -1. When the control characteristic value is 1, it indicates that the transmission is abnormal, otherwise, it indicates that the transmission is normal.

[0050] It should be noted that the various types of transmission instructions include tape loading, tape unloading, tape reading and tape writing. When the transmission instruction is tape loading, the control data is the tape loading number and the tape loading path. When the transmission instruction is tape unloading, the control data is the tape unloading number and the tape unloading path. When the transmission instruction is tape reading and writing, the control data is the tape reading and writing number, the tape reading and writing type, the tape reading and writing speed set, and the tape reading and writing progress set. When the transmission instruction is tape writing, the control data is the tape writing number, the tape writing type, the tape writing speed set, and the tape writing progress set, wherein the tape reading and writing types include sequential reading and writing, random reading and writing, etc., wherein the tape writing types include sequential writing, random writing, etc.

[0051] It should be noted that the magnetic tape is transported by a robotic arm during use, and the magnetic tape loading path and the magnetic tape unloading path specifically refer to the path taken by the robotic arm when transporting the magnetic tape.

[0052] It should also be noted that the control characteristic values ​​of various types of transmission instructions of the tape library at each transmission are determined by the following specific method: when a certain type of transmission instruction of the tape library is tape loading, the tape loading number and tape loading path of this type of transmission instruction of the tape library at each transmission are obtained, and the standard tape loading number and standard tape loading path are obtained from the standard control data of this type of transmission instruction of the tape library at each transmission; if the tape loading number at a certain transmission is inconsistent with the standard tape loading number, or the tape loading path is inconsistent with the standard tape loading path, the control characteristic value at that transmission is recorded as 1; otherwise, the control characteristic value at that transmission is recorded as -1.

[0053] When a certain type of transmission instruction of the tape library is tape unloading, the control characteristic value of the tape unloading transmission instruction of the tape library during each transmission is determined in accordance with the above analysis method.

[0054] When a certain type of transmission instruction of the tape library is tape reading and writing, the tape reading and writing number, tape reading and writing type, tape reading and writing speed set, and tape reading and writing progress set of this type of transmission instruction of the tape library at each transmission are obtained, and then the average tape reading and writing speed and the tape reading and writing progress per unit time are extracted, and the standard tape reading and writing number, standard tape reading and writing type, standard tape reading and writing speed, and standard tape reading and writing progress per unit time are obtained from the standard control data of this type of transmission instruction of the tape library at each transmission. If the tape reading and writing number at a certain transmission is inconsistent with the standard tape reading and writing number, the tape reading and writing type is inconsistent with the standard tape reading and writing type, the average tape reading and writing speed is inconsistent with the standard tape reading and writing speed, or the tape reading and writing progress per unit time is inconsistent with the standard tape reading and writing progress, then the control characteristic value at the time of this transmission instruction is recorded as 1, otherwise, the control characteristic value at the time of this transmission is recorded as -1.

[0055] When a certain type of transmission instruction of the tape library is tape writing, the control characteristic value of the tape writing instruction of the tape library during each transmission is determined in accordance with the above analysis method.

[0056] Based on the control characteristic values ​​of various transmission instructions of the tape library at each transmission, the transmission times of various transmission instructions of the tape library at the target control characteristic value are mapped, and the times are divided by the total transmission times to obtain the abnormal transmission ratio of various transmission instructions of the tape library.

[0057] It should be noted that the target control characteristic value specifically refers to 1.

[0058] The allowed abnormal transmission ratio of various transmission instructions of the tape library is obtained from the database. If the abnormal transmission ratio of a certain type of transmission instruction of the tape library is greater than the allowed abnormal transmission ratio, the control of the tape library is judged to be abnormal. If the abnormal transmission ratio of all transmission instructions of the tape library is less than or equal to the allowed abnormal transmission ratio, the control of the tape library is judged to be normal.

[0059] In a specific embodiment of the present invention, the specific judgment method for determining whether each magnetic tape is used abnormally is: based on the tension data set, signal defect type set and environmental data set of each magnetic tape in the tape library at each use, wherein the tension data set includes maximum tension, minimum tension, average tension value and tension range value, and the environmental data set includes average magnetic field strength and maximum magnetic field strength.

[0060] Import the tension data set, signal defect type set and environmental data set of each tape in the tape library at each use into the tape use abnormality judgment model In the example, the usage abnormality value of each tape is output, where the usage abnormality value of the tape includes values ​​of 1 and -1. When the usage abnormality value of the tape is 1, it indicates that the tape is used abnormally, and when the usage abnormality value of the tape is -1, it indicates that the tape is used normally.

[0061] In the formula , , They are the safety tension data set, the allowable signal defect type set, and the safety environment data set stored in the database. Use anomaly assessment thresholds for tapes stored in the database, is the number of each use, , is any integer greater than 2, The total number of times the tape has been used.

[0062] In a specific embodiment of the present invention, the fault parameters of the optical disk library of the computer room are generated by extracting the apparent image of each optical disk from the mechanical data of the optical disk library, identifying the defect parameters of each optical disk by image recognition technology, wherein the defect parameters include each defect type and its corresponding area, and obtaining the original image of each optical disk from the database, comparing the apparent image of each optical disk with the original image, and identifying the deformation degree of each optical disk. ,in is the number of each disc, , is any integer greater than 2.

[0063] It should be noted that the defect types of the optical disc include scratches and fingerprints.

[0064] It should also be noted that the specific method for identifying the deformation degree of each optical disc is as follows: the outline of each optical disc is obtained based on the apparent image of each optical disc, and the original outline of each optical disc is obtained based on the original image of each optical disc, and then the overlapping volume of the outline of each optical disc and the original outline is obtained, and the volume of the original outline of each optical disc is obtained, and the overlapping volume is subtracted from the volume of the original outline of each optical disc and the result is divided by the volume of the original outline to obtain the deformation degree of each optical disc.

[0065] Import the defect parameters and deformation of each disc into the disc mechanical anomaly assessment model Output the mechanical abnormality value of each disc , where the mechanical abnormality value of the optical disc includes the values ​​of 1 and -1. When the mechanical abnormality value of the optical disc is 1, it indicates that the mechanical data of the optical disc is abnormal. When the mechanical abnormality value of the optical disc is -1, it indicates that the mechanical data of the optical disc is normal. The optical discs with abnormal mechanical data are recorded as each mechanical data abnormal optical disc, and each mechanical data abnormal optical disc in the optical disc library is obtained.

[0066] In the formula is the risk factor per unit area corresponding to the rth defect type of the optical disc stored in the database, Evaluate thresholds for mechanical anomalies of the optical discs stored in the data, is the number of each defect type of the optical disc, , is any integer greater than 2.

[0067] The control data of the optical disk library includes the control data corresponding to each transmission instruction at each transmission, and determines whether the control of the optical disk library is abnormal. If the control of the optical disk library is abnormal, an optical disk library control abnormal signal is output, otherwise, a optical disk library control normal signal is output.

[0068] It should be noted that the method for judging whether the control of an optical disk library is abnormal is the same as the method for judging whether the control of a magnetic tape library is abnormal.

[0069] The usage data of the optical disk library includes a characteristic data set of each optical disk when it is used each time, and determines whether each optical disk is used abnormally, and records each optical disk with abnormal use as an abnormally used optical disk.

[0070] Based on the optical disk library control abnormal signal, each machine data abnormal optical disk, and each use abnormal optical disk, the fault parameters of the optical disk library in the computer room are generated.

[0071] In a specific embodiment of the present invention, the specific method for determining whether each optical disc is used abnormally is as follows: a characteristic data set of each optical disc at each use Import to CD-ROM to use the abnormal judgment model In which the characteristic data set includes average magnetic field strength, maximum magnetic field strength, average temperature, maximum temperature, average dust content, and outputs abnormal usage judgment values ​​of each optical disc, wherein the abnormal usage value of the optical disc includes values ​​of 1 and -1. When the abnormal usage value of the optical disc is 1, it indicates that the optical disc is used abnormally. When the abnormal usage value of the optical disc is -1, it indicates that the optical disc is used normally.

[0072] In the formula is a collection of security feature data stored in the database, Use anomaly assessment thresholds for the discs stored in the database, A serial number for each use of the disc. , is any integer greater than 2, The total number of times the disc has been used.

[0073] It should be noted that the safety feature data set includes a safe average magnetic field strength interval, a safe maximum magnetic field strength interval, a safe average temperature interval, a safe maximum temperature interval and a safe dust content interval.

[0074] The present invention first determines whether the mechanical data of the tape, the control of the tape library, and the use of the tape are abnormal in the server, and then generates the fault parameters of the tape library in the computer room, and determines whether the mechanical data of the optical disk, the control of the optical disk library, and the use of the optical disk are abnormal, and generates the fault parameters of the optical disk library, and jointly monitors and analyzes the tape library and the optical disk library, which makes up for the shortcomings of the prior art, ensures data backup and recovery, reduces the cost of repairing and replacing equipment, improves the data processing efficiency of the entire computer room, maintains the stability of system performance, avoids data leakage or access by unauthorized personnel, and reduces security risks.

[0075] The present invention detects whether the computer room is abnormal when controlling the tape library and the optical disk library in the server, overcomes the shortcomings of the prior art, and further improves the data access efficiency, thereby improving the operation efficiency of the entire system, reducing the failure rate of the tape library and the optical disk library, and avoiding the decline of system stability. Maintain the normal operation of the industry to which the computer room belongs and avoid data loss or damage.

[0076] The processing terminal is used to generate the tape group label, the optical disk group label and the control abnormality level of the machine room, and display them visually.

[0077] In a specific embodiment of the present invention, the method for generating the tape group label, the optical disk group label and the control abnormality level of the computer room is as follows: based on the serial number of each tape in the tape library of the computer room, Get the number of each machine data abnormal tape and the number of each abnormal tape used , is the number of each machine data abnormal tape, , is any integer greater than 2, is the number of each abnormally used tape. , is any integer greater than 2.

[0078] like , then the tape is recorded as belonging to the three-type tape group.

[0079] like , then the tape is recorded as belonging to the second-class tape group.

[0080] like , then the tape is recorded as a class of tapes belonging to the group.

[0081] Through hierarchical clustering, statistics of each type I tape belonging group are used to generate tape group one label, statistics of each type II tape belonging group are used to generate tape group two label, statistics of each type III tape belonging group are used to generate tape group three label, and similarly, the CD group label of the computer room is generated.

[0082] If the tape library control abnormality signal of the computer room is generated, and the optical disc library control abnormality signal of the computer room is generated, the control abnormality level of the computer room is recorded as the first category control abnormality level; if the tape library control abnormality signal of the computer room is generated, or the optical disc library control abnormality signal of the computer room is generated, the control abnormality level of the computer room is recorded as the second category control abnormality level; if the tape library control normal signal of the computer room is generated, and the optical disc library control normal signal of the computer room is generated, the control abnormality level of the computer room is recorded as the third category control abnormality level.

[0083] It should be noted that, among the tape group one label, the tape group two label and the tape group three label, the importance of the tape group one label is greater than that of the tape group two label, and the importance of the tape group two label is greater than that of the tape group three label. That is to say, the mechanical and usage abnormalities of each tape in the tape group one label can increase the frequency of daily maintenance and monitoring, and the urgency of tape repair and the urgency of re-recording tape backup data are high. The mechanical and usage abnormalities of each tape in the tape group two label are not high, and the historical frequency of daily maintenance and monitoring can be maintained. The urgency of tape repair and the urgency of re-recording tape backup data are general. The mechanical and usage of each tape in the tape group three label are normal, and the frequency of daily maintenance and monitoring can be reduced. The urgency of tape repair and the urgency of re-recording tape backup data are not high. Solid data support is provided for the subsequent daily maintenance and repair allocation of tapes in the computer room, which is conducive to reducing the maintenance and management costs of tapes in the computer room, while ensuring the rationality of tape maintenance and repair.

[0084] The second aspect of the present invention provides a method for executing the Internet of Things-based computer room fault operation and maintenance system described in the present invention, including: W1. Monitoring the tape library and optical disk library in the computer room to obtain the mechanical data, control data, usage data of the tape library and the mechanical data, control data and usage data of the optical disk library.

[0085] W2. Generate fault parameters for the tape library in the computer room, and generate fault parameters for the optical disk library in the computer room.

[0086] W3. Generate tape group labels, optical disk group labels and control abnormality levels for the computer room, and display them visually.

[0087] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A computer room fault operation and maintenance system based on the Internet of Things, characterized in that: include: Computer room monitoring module, server and execution terminal; The computer room monitoring module is used to monitor the tape library and the optical disk library in the computer room, and obtain the mechanical data, control data, and usage data of the tape library and the mechanical data, control data, and usage data of the optical disk library; The server comprises a tape library fault analysis module and an optical disk library fault analysis module, wherein the tape library fault analysis module is used to generate fault parameters of the tape library in the computer room, and the optical disk library fault analysis module is used to generate fault parameters of the optical disk library in the computer room; The processing terminal is used to generate the tape group label, the optical disk group label and the control abnormality level of the machine room, and display them visually.

2. According to the Internet of Things-based computer room fault operation and maintenance system of claim 1, it is characterized in that: The mechanical data of the tape library includes the apparent image of each tape; The control data of the tape library includes control data corresponding to various transmission instructions at each transmission; The usage data of the tape library includes a tension data set, a signal defect type set and an environment data set of each tape at each use; The mechanical data of the optical disk library includes the apparent image of each optical disk; The control data of the optical disk library includes control data corresponding to various transmission instructions at each transmission; The usage data of the optical disc library includes a set of characteristic data of each optical disc at each use.

3. According to the Internet of Things-based computer room fault operation and maintenance system of claim 2, it is characterized in that: The specific method for generating the fault parameters of the tape library in the computer room is as follows: Extracting the apparent image of each tape from the mechanical data of the tape library, and judging whether the mechanical data of each tape is abnormal, recording each tape with abnormal mechanical data as each mechanical abnormal tape, and obtaining each mechanical data abnormal tape of the tape library; Extract the control data corresponding to each transmission instruction at each transmission from the control data of the tape library, and judge whether the control of the tape library is abnormal. If the control of the tape library is abnormal, output the tape library control abnormal signal, otherwise, output the tape library control normal signal; Extracting the tension data set, signal defect type set and environment data set of each tape at each use from the usage data of the tape library, judging whether each tape is used abnormally, recording each tape used abnormally as each abnormally used tape, and obtaining each abnormally used tape of the tape library; Based on the tape library control abnormal signal, each machine data abnormal tape, and each use abnormal tape, the fault parameters of the tape library in the computer room are generated.

4. According to the Internet of Things-based computer room fault operation and maintenance system of claim 3, it is characterized in that: The specific method for judging whether the mechanical data of each magnetic tape is abnormal is as follows: Based on the surface image of each tape, the defect parameters and label text set of each tape are obtained through image recognition technology, where the defect parameters include each defect type and its corresponding area , and randomly select each test point from each connection of each tape, and obtain the width of each test point at each connection of each tape, is the number of each tape, , is any integer greater than 2, is the number of each defect type, , is any integer greater than 2; The original image of each tape is obtained from the database, and the label text set of each tape and the width of each connection are obtained therefrom, which are recorded as the original label text set of each tape and the original width of each connection respectively; Collect the defect parameters and label text of each tape , original label text set , the original width of each connection and the width of each test point Import into tape mechanical anomaly assessment model , outputting the mechanical data abnormality value of each tape, wherein the mechanical data abnormality value of the tape includes values ​​of 1 and -1. When the mechanical data abnormality value of the tape is 1, it indicates that the mechanical data of the tape is abnormal, and when the mechanical data abnormality value of the tape is -1, it indicates that the mechanical data of the tape is normal; In the formula is the risk factor per unit area corresponding to the j-th defect type of the tape stored in the database, is the reference tape mechanical quality threshold stored in the database, is the number of each connection, , is any integer greater than 2, is the number of each test point, , is any integer greater than 2, , are the number of connections and the number of test points, respectively.

5. According to the Internet of Things-based computer room fault operation and maintenance system of claim 3, it is characterized in that: The specific method for judging whether the control of the tape library is abnormal is as follows: Based on the control data corresponding to each transmission instruction of the tape library at each transmission, the standard control data corresponding to each transmission instruction of the tape library at each transmission is obtained from the database, so as to determine the control characteristic values ​​of each transmission instruction of the tape library at each transmission, wherein the control characteristic value includes values ​​of 1 and -1. When the control characteristic value is 1, it indicates that the transmission is abnormal, otherwise, it indicates that the transmission is normal; Based on the control characteristic values ​​of various transmission instructions of the tape library at each transmission, the transmission times of various transmission instructions of the tape library at the target control characteristic value are mapped, and the transmission times are divided by the total transmission times to obtain the abnormal transmission ratio of various transmission instructions of the tape library; The allowed abnormal transmission ratio of various transmission instructions of the tape library is obtained from the database. If the abnormal transmission ratio of a certain type of transmission instruction of the tape library is greater than the allowed abnormal transmission ratio, the control of the tape library is judged to be abnormal. If the abnormal transmission ratio of all transmission instructions of the tape library is less than or equal to the allowed abnormal transmission ratio, the control of the tape library is judged to be normal.

6. The computer room fault operation and maintenance system based on the Internet of Things according to claim 3 is characterized in that: The specific method for judging whether each tape is used abnormally is as follows: A tension data set, a signal defect type set and an environmental data set of each tape in the tape library at each use, wherein the tension data set includes the maximum tension, the minimum tension, the average tension value and the tension range value, and the environmental data set includes the average magnetic field strength and the maximum magnetic field strength; Import the tension data set, signal defect type set and environmental data set of each tape in the tape library at each use into the tape use abnormality judgment model , output the usage abnormality value of each tape, wherein the usage abnormality value of the tape includes values ​​of 1 and -1. When the usage abnormality value of the tape is 1, it indicates that the tape is used abnormally, and when the usage abnormality value of the tape is -1, it indicates that the tape is used normally; In the formula , , They are the safety tension data set, the allowable signal defect type set, and the safety environment data set stored in the database. Use anomaly assessment thresholds for tapes stored in the database, is the number of each use, , is any integer greater than 2, The total number of times the tape has been used.

7. The computer room fault operation and maintenance system based on the Internet of Things according to claim 4 is characterized in that: The specific method for generating the fault parameters of the optical disk library in the computer room is as follows: Extract the apparent image of each disc from the mechanical data of the disc library, identify the defect parameters of each disc through image recognition technology, where the defect parameters include each defect type and its corresponding area, and obtain the original image of each disc from the database, compare the apparent image of each disc with the original image, and identify the deformation degree of each disc ,in is the number of each disc, , is any integer greater than 2; Import the defect parameters and deformation of each disc into the disc mechanical anomaly assessment model Output the mechanical abnormality value of each disc , wherein the mechanical abnormality value of the optical disc includes values ​​of 1 and -1. When the mechanical abnormality value of the optical disc is 1, it indicates that the mechanical data of the optical disc is abnormal. When the mechanical abnormality value of the optical disc is -1, it indicates that the mechanical data of the optical disc is normal. The optical discs with abnormal mechanical data are recorded as each mechanical data abnormal optical disc, and each mechanical data abnormal optical disc of the optical disc library is obtained; In the formula is the risk factor per unit area corresponding to the rth defect type of the optical disc stored in the database, Evaluate thresholds for mechanical anomalies of the optical discs stored in the data, is the number of each defect type of the optical disc, , is any integer greater than 2; The control data of the optical disk library includes the control data corresponding to each transmission instruction at each transmission, and determines whether the control of the optical disk library is abnormal. If the control of the optical disk library is abnormal, an optical disk library control abnormality signal is output, otherwise, an optical disk library control normal signal is output; The usage data of the optical disk library includes a characteristic data set of each optical disk when it is used each time, and determines whether each optical disk is used abnormally, and records each optical disk with abnormal use as an abnormally used optical disk; Based on the optical disk library control abnormal signal, each machine data abnormal optical disk, and each use abnormal optical disk, the fault parameters of the optical disk library in the computer room are generated.

8. The computer room fault operation and maintenance system based on the Internet of Things according to claim 7 is characterized in that: The specific method for judging whether each optical disc is used abnormally is as follows: Collect the characteristic data of each disc at each use Import to CD-ROM to use the abnormal judgment model The characteristic data set includes the average magnetic field strength, the maximum magnetic field strength, the average temperature, the maximum temperature, and the average dust content, and outputs the abnormal use judgment value of each optical disc, wherein the abnormal use value of the optical disc includes the values ​​of 1 and -1. When the abnormal use value of the optical disc is 1, it indicates that the optical disc is used abnormally, and when the abnormal use value of the optical disc is -1, it indicates that the optical disc is used normally; In the formula is a collection of security feature data stored in the database, Use anomaly assessment thresholds for the discs stored in the database, A number for each use of the disc. , is any integer greater than 2, The total number of times the disc has been used.

9. The computer room fault operation and maintenance system based on the Internet of Things according to claim 7 is characterized in that: The specific generation method of the tape group label, the optical disk group label and the control abnormality level of the computer room is as follows: The number of each tape in the tape library based on the computer room Get the number of each machine data abnormal tape and the number of each abnormal tape used , is the number of each machine data abnormal tape, , is any integer greater than 2, is the number of each abnormally used tape. , is any integer greater than 2; like , then the tape is recorded as belonging to the three types of tape groups; like , then the tape is recorded as belonging to the second-class tape group; like , then the tape is recorded as a class of tapes belonging to the group; Through hierarchical clustering, count the tapes belonging to the first category to generate the first label of the tape group, count the tapes belonging to the second category to generate the second label of the tape group, count the tapes belonging to the third category to generate the third label of the tape group, and similarly generate the CD group label of the computer room; If the tape library control abnormality signal of the computer room is generated, and the optical disc library control abnormality signal of the computer room is generated, the control abnormality level of the computer room is recorded as the first category control abnormality level; if the tape library control abnormality signal of the computer room is generated, or the optical disc library control abnormality signal of the computer room is generated, the control abnormality level of the computer room is recorded as the second category control abnormality level; if the tape library control normal signal of the computer room is generated, and the optical disc library control normal signal of the computer room is generated, the control abnormality level of the computer room is recorded as the third category control abnormality level.

10. A method for executing the computer room fault operation and maintenance system based on the Internet of Things according to any one of claims 1 to 9, characterized in that: include: W1. Monitor the tape library and CD library in the computer room, and obtain the mechanical data, control data, and usage data of the tape library and the mechanical data, control data, and usage data of the CD library; W2 generates the fault parameters of the tape library in the computer room and generates the fault parameters of the optical library in the computer room; W3. Generate tape group labels, optical disk group labels and control abnormality levels for the computer room, and display them visually.

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