Multi-layer intelligent operation and maintenance system and method for multi-tenants of third-party data centers

Abstract

The present invention provides a multi-layer intelligent operation and maintenance system and method for multi-tenants of a third-party data center, including a resource QR code, which is used as a unique identifier of a device to match detailed information of the device; a QR code generation unit, which is used to generate a dynamic QR code according to the resource QR code; a data analysis unit, which is used to perform risk assessment according to work order information and external environment information to obtain an assessment result; a resource matching unit, which is used to match a corresponding working mode according to the assessment result; and a fault push unit, which is used for a client to fill in fault information and upload it to a server. The present invention can greatly simplify the daily work of the operation and maintenance personnel in the computer room, improve the operation and maintenance to quickly complete tasks and effectively improve work efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of computer room management and operation and maintenance, and in particular to a multi-layer intelligent operation and maintenance system and method for multi-tenants of a third-party data center. Background Art

[0002] IT operation and maintenance is the core and key part of computer room management, and it is also the part with the most content and the most complicated. This process is mainly used for daily operation and management within the IT department. The objects involved are divided into two parts, namely IT business systems and operation and maintenance personnel; business operation and maintenance is the core and key part of business needs and user experience. It is a process that requires the description, loading and maintenance of complex content, continuous changes, and support for different business needs. The objects involved include two types of personnel, one is the technical personnel who provide business support, and the other is the management and business backbone of the entire organization. With the improvement of the capabilities of the business operation and maintenance environment and tools, the improvement of functions and the optimization of experience, technical personnel will gradually withdraw from this field; daily management operation and maintenance is the control of IT operation and maintenance and business operation and maintenance needs, processes, and results, as well as the control of the operating status of the entire management information system, so as to achieve the recording and tracking of application changes, changes and tracking for different regions, and the prediction of risks and prevention management of the environment and applications, etc. The objects involved are mainly managers and participants of the operation and maintenance management department.

[0003] However, traditional IT operation and maintenance products often rely on websites to display device status and process work orders in real time, which requires operation and maintenance personnel to monitor at all times. We have packaged many functions into the mobile phone App. Relying on the mobile phone's camera scanning, as well as convenient IM instant messaging functions such as message push and reminder, the traditional operation and maintenance workflow has been optimized. Summary of the invention

[0004] In view of this, the problem to be solved by the present invention is to provide a multi-layer intelligent operation and maintenance system and method for multi-tenants of a third-party data center.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: a multi-layer intelligent operation and maintenance system for multi-tenants of a third-party data center, including:

[0006] Resource QR code, which is used as a unique identifier of the device to match detailed information of the device;

[0007] A two-dimensional code generation unit, the two-dimensional code generation unit is used to generate a dynamic two-dimensional code according to the resource two-dimensional code;

[0008] A data analysis unit is used to conduct risk assessment based on work order information and external environment information to obtain assessment results;

[0009] A resource matching unit, used to match a corresponding working mode according to the evaluation result;

[0010] The fault push unit is used for the client to fill in the fault information and upload it to the server.

[0011] In the present invention, preferably, a performance analysis unit is also included, and the performance analysis unit is used to obtain the performance of the operation and maintenance personnel according to the operation and maintenance type classification and the order acceptance time.

[0012] In the present invention, preferably, the client and the server are both configured as one or more of a PC terminal and a mobile terminal.

[0013] In the present invention, preferably, the work order information includes the work order type, the difficulty level of the work order, and the average completion time of the work order.

[0014] In the present invention, preferably, the external environment information includes the average completion time of the operation and maintenance personnel, the actual environment of the computer room, the distance between the work order equipment points and the distance between each abnormal equipment.

[0015] In the present invention, preferably, the client obtains the server QR code by scanning a label on the server through a mobile phone camera.

[0016] In the present invention, preferably, the order acceptance time is the time between when the operation and maintenance personnel click to accept the work order on their own equipment and when the customer clicks to complete the work order.

[0017] In the present invention, preferably, the risk assessment locates the location of the operation and maintenance personnel in real time and generates a two-dimensional path map to the problematic equipment, derives the optimal work order sequence based on the work order information and external environment information, and generates path navigation suggestions.

[0018] In the present invention, preferably, the dynamic two-dimensional code is dynamically generated by an encryption algorithm.

[0019] The multi-layer intelligent operation and maintenance method for multi-tenants of a third-party data center includes the following steps:

[0020] Initialize the binding of the device and generate a dynamic QR code corresponding to the unique identifier of the device according to the encryption algorithm;

[0021] The mobile terminal obtains device information, confirms the device's location information, and binds the device by scanning;

[0022] Obtain device identity information based on the QR code, transmit the device identity information to the server, query the matching device information based on the device identity information, and display the return value on the terminal;

[0023] For faulty equipment, fill in the fault information through the mobile terminal and upload it to the server, so as to realize the reporting of equipment faults in the computer room.

[0024] In the present invention, preferably, the faulty equipment is detected by a fault identification unit, and the fault identification unit takes an image containing machine fault information at the operation and maintenance site.

[0025] The advantages and positive effects of the present invention are as follows: the present invention greatly simplifies the daily work of the computer room operation and maintenance personnel through the mutual cooperation between the two-dimensional code generation unit, the data analysis unit, the resource matching unit and the fault push unit, and solves the technical problem that the existing computer room can only rely on Excel tables to count the causes of faults and deal with problems based on experience. The present invention adopts fault identification, detection and comparison, and combines the historical normal average completion time and the computer room environment. It recognizes keywords based on image upload, searches and compares the problem knowledge base, automatically locates the position, and suggests the completion order. It uses the mobile phone gyroscope and positioning real-time voice broadcast of the position and direction, so as to improve the operation and maintenance to quickly complete tasks and effectively improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0027] Figure 1 It is a schematic diagram of the multi-layer intelligent operation and maintenance method for multi-tenants of a third-party data center of the present invention. DETAILED DESCRIPTION

[0028] 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.

[0029] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a component centered. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a component centered. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a component centered. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0031] like Figure 1 As shown, the present invention provides a multi-layer intelligent operation and maintenance system and method for multi-tenants of a third-party data center, including:

[0032] Resource QR code, which is used as the unique identifier of the device to match the detailed information of the device;

[0033] The QR code generation unit is used to generate a dynamic QR code based on the resource QR code. Based on the generation of the resource QR code, we dynamically generate the QR code through the background encryption algorithm. Specifically, the unique identification SN data representing the server and other resources is MD5 encrypted. The computer room code is added to the first position of the MD5 encrypted data formed by the SN, the module code is added to the third position, and the cabinet code is added to the fifth position to form a unique string of code data. Based on this data, a QR code is generated (the computer room, module and cabinet codes are already coded data) as the unique identification of the device. Covering cabinets and asset equipment (the contract stipulates that the customer's machine will be hosted on a specific computer room and cabinet, and then a unique encrypted QR code will be generated when entering the background, and the encrypted QR code will be used for binding). The QR code generated before the asset and cabinet information changes does not need to be replaced.

[0034] A data analysis unit is used to conduct risk assessment based on work order information and external environment information to obtain assessment results;

[0035] The resource matching unit is used to match the corresponding work mode according to the evaluation results; it counts the average order acceptance time, average completion time, equipment listing and delisting time, work order evaluation, etc. of the operation and maintenance personnel, comprehensively measures the performance of the operation and maintenance, and then intelligently matches the work orders and automatically places orders based on the performance of the operation and maintenance personnel. The specific considerations are the current working status of the operation and maintenance personnel (idle or busy), and then consider the degree of match between the current work order type and the operation and maintenance personnel's expertise, so that automatic ordering can be achieved.

[0036] The fault push unit is used for the client to fill in the fault information and upload it to the server. The fault information can be directly pushed to the operation and maintenance personnel's APP WeChat terminal, which is convenient for the operation and maintenance personnel to quickly view the fault information, and push the relevant knowledge base to assist the operation and maintenance personnel to solve the fault faster, which can realize mobile fault reporting.

[0037] In addition, the operation and maintenance management in the background assigns tasks or issues tasks intelligently according to time. Specifically, the general operation and maintenance administrator assigns tasks according to the shift schedule. Intelligent tasks refer to the following situations: one is that the equipment has been running for a long time (not shut down for a long time), and it has reached the 3-year or 5-year time point, and the operation and maintenance personnel need to conduct a comprehensive inspection of the equipment operation status; the other is that the equipment cannot communicate (abnormal shutdown, etc.), and it is triggered when it cannot be monitored. The task is pushed to the designated operation and maintenance personnel's mobile phone, and the operation and maintenance begins to conduct asset inventory, and report and submit any problems found in a timely manner. The operation and maintenance management can review and modify the data in the background to control every step of the process.

[0038] In this embodiment, further, a performance analysis unit is included, which is used to obtain the performance of the operation and maintenance personnel according to the operation and maintenance type classification and order acceptance time. The performance of the operation and maintenance personnel is obtained by counting the average order acceptance time, average completion time, equipment loading and unloading time and work order evaluation factor indicators of the operation and maintenance personnel. The operation and maintenance personnel are classified according to the type of operation and maintenance. The time starts when the operation and maintenance personnel click to accept the work order on their own equipment, and the time when the customer clicks to complete the work order. If the customer forgets to click to complete, the operation and maintenance personnel can remind the customer to click to complete in the APP). The performance situation mainly comes from the daily task arrangement and completion status of the operation and maintenance personnel, which generally accounts for 30%. It is mainly based on the comprehensive assessment of the operation and maintenance attendance and operation and maintenance management of the computer room. Through the performance of the operation and maintenance personnel, the areas of expertise and work order types of each operation and maintenance personnel are found, and the overall service quality can be effectively improved according to the actual situation of the operation and maintenance personnel.

[0039] In this embodiment, further, the client and server are both configured as one or more of the PC and mobile terminals. Through the mobile terminal, the core resource list synchronized with the monitoring system (including the name, model, basic configuration, and operation status (CPU / memory / network / storage) of the server and switch) can be conveniently viewed to understand the resource operation status in real time.

[0040] In this embodiment, further, the work order information includes the work order type, the difficulty of the work order, and the average completion time of the work order. The operation and maintenance personnel can receive the information pushed by the task processing. Different colors represent different task levels. The corresponding speed is improved and the process is simple, which greatly facilitates the operation and maintenance personnel to solve the task and improves work efficiency. The operation and maintenance personnel can receive several types of different modules in the same computer room, or several work orders of the same type. The intelligent fast path algorithm can automatically locate the operation and maintenance location in real time and generate the shortest internal two-dimensional path map of the problem equipment in the computer room. The specific type of work order, the difficulty of the work order, the average completion time of the work order, the average completion time of the operation and maintenance personnel, the actual environment of the computer room, the distance between all work order equipment points and the distance between each abnormal equipment are analyzed through big data statistics, the shortest path is calculated, the optimal work order sequence and the path navigation suggestion are generated, and the position and direction are broadcasted in real time by voice using the mobile phone gyroscope and positioning, and refreshed in real time. Effectively help operation and maintenance improve processing speed and efficiency.

[0041] In this embodiment, the external environment information further includes the average completion time of the operation and maintenance personnel, the actual environment of the computer room, the distance between the work order equipment points, and the distance between each abnormal device. The specific type of the work order, the difficulty of the work order, the average completion time of the work order, the average completion time of the operation and maintenance personnel, the actual environment of the computer room, the distance between all the work order equipment points, and the distance between each abnormal device are comprehensively analyzed through big data statistics to calculate the shortest path and generate the optimal work order sequence.

[0042] After the work order is pushed to the operation and maintenance personnel, the waiting time for the operation and maintenance personnel to accept the order may be very long. The system optimizes the algorithm and intelligently analyzes and judges according to the specific description of the work order, and intelligently recommends the first order taker, the second order taker, the third order taker..., and optimizes the time-limited order grabbing algorithm. If the first order is not accepted within 10 seconds, the order can be pushed to the second order taker. If the order is still not accepted, it will be pushed to the third order taker after waiting for 10 seconds. If the first order is accepted at this time, the subsequent operation and maintenance will fail. If the fifth order is accepted, the previous operation and maintenance cannot accept the order. At the same time, the order waiting time is recorded and the average order acceptance time of the order taker and the time to complete the work order are calculated. After the operation and maintenance accepts the order, it can intelligently judge whether the work order is timed out or not responded to according to the work order type, effectively improving the speed of handling customer problems and the work efficiency of operation and maintenance. It greatly simplifies the daily order acceptance work of the operation and maintenance personnel in the computer room. The existing computer room can only rely on Excel tables to assign tasks, which greatly reduces work efficiency. Intelligent work order push solves the problems of customer waiting time and operation and maintenance not accepting orders, not responding to orders, and timeout response time.

[0043] In this embodiment, further, the client obtains the server QR code by scanning the label on the server through the mobile phone camera. The operation and maintenance personnel only need an Android phone with this App installed to scan the code through the phone's camera. The scanning is relatively portable. By scanning the cabinet and asset information, the profit and loss of the equipment in the computer room can be judged (the background monitoring can view all the equipment in custody, the equipment that has been removed from the shelves, the equipment that has been put on the shelves, the inventory equipment, and the scrapped equipment in real time. The current overall shelf rate of the computer room can be judged according to the custody situation to preliminarily judge the profit and loss. The specific profit and loss needs to be combined with the financial statements).

[0044] In this embodiment, further, the order acceptance time is the time between when the operation and maintenance personnel click to accept the work order on their own device and when the customer clicks to complete the work order.

[0045] In this embodiment, further, the risk assessment locates the location of the operation and maintenance personnel in real time and generates a two-dimensional path map to the problem equipment. The optimal work order sequence is obtained based on the work order information and external environment information, and a path navigation suggestion is generated. The operation and maintenance personnel can receive several types of different modules in the same computer room, or several work orders of the same type. The intelligent fast path algorithm can automatically locate the operation and maintenance location in real time and generate an internal two-dimensional path map of the shortest problem equipment to the computer room. It multi-dimensionally calculates the specific type of work order, the difficulty of the work order, the average completion time of the work order, the average completion time of the operation and maintenance personnel, the actual environment of the computer room, the distance between all work order equipment points and the distance between each abnormal equipment. Through big data statistical analysis, the shortest path is calculated, the optimal work order sequence and path navigation suggestions are generated, and the position and direction are broadcasted in real time by voice using the mobile phone gyroscope and positioning, and refreshed in real time, effectively helping the operation and maintenance to improve processing speed and efficiency. It greatly simplifies the daily work of computer room operation and maintenance personnel. The existing computer room can only rely on Excel tables to count the causes of faults and deal with problems based on experience. The present invention adopts scientific identification, detection, and statistical comparison methods, and combines the historical normal average completion time and computer room environment (identify keywords based on image uploads, search and compare problem knowledge bases), automatically locates the position, suggests the completion order, and uses the mobile phone gyroscope and positioning real-time voice broadcast of the position and direction, which improves the operation and maintenance to quickly complete tasks and effectively improve work efficiency.

[0046] In this embodiment, further, the dynamic QR code is dynamically generated through an encryption algorithm. The encryption algorithm specifically obtains the SN data associated with the device binding, performs MD5 encryption on the SN data to obtain encrypted coded data, the first digit of the encrypted coded data is the computer room code, the third digit of the encrypted coded data is the module code, and the fifth digit of the encrypted coded data is the cabinet code.

[0047] The multi-layer intelligent operation and maintenance method for multi-tenants of a third-party data center includes the following steps:

[0048] Initialize the binding of the device and generate a unique identifier corresponding to the device based on the device information;

[0049] The mobile terminal obtains device information, confirms the device's location information, and binds the device by scanning;

[0050] Obtain device identity information based on the QR code, transmit the device identity information to the server, query the matching device information based on the device identity information, and display the return value on the terminal;

[0051] For faulty equipment, fill in the fault information through the mobile terminal and upload it to the server, so as to realize the reporting of equipment faults in the computer room.

[0052] In this embodiment, further, the faulty equipment is detected by a fault identification unit, and the fault identification unit takes images containing machine fault information through the operation and maintenance site. Operation and maintenance scene fault identification, through the images of machine fault information and other images taken at the operation and maintenance site, system log fault records, using a handheld mobile terminal to shoot screen images, text, etc. (codes and text information displayed on the screen when an error occurs on the server), through the background image and text recognition technology and the existing knowledge base retrieval comparison (specific text keywords are identified through Ali images, and compared with the problem knowledge base, similar to searching for questions and answers through keywords), intelligent judgment type, through the background of the historical same type of work order processing method, customer score high similar work order processing method and other dimensions of comprehensive modeling analysis, recommend to the operation and maintenance the most appropriate and convenient processing method, so that the operation and maintenance can quickly locate the fault type and refer to specific or similar fault processing experience, greatly improving the efficiency of operation and maintenance work. The present invention adopts scientific identification, detection, and statistical comparison methods, and combines the historical normal parameters and threshold comparison stored in the database to automatically identify and recommend processing methods and suggestions to operation and maintenance personnel, thereby improving the level and efficiency of operation and maintenance.

[0053] The embodiments of the present invention are described in detail above, but the contents described are only preferred embodiments 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 this patent.

Claims

1. A multi-layer intelligent operation and maintenance system for multi-tenants of third-party data centers, characterized by: include: Resource QR code, which is used as a unique identifier of the device to match detailed information of the device; A two-dimensional code generation unit, the two-dimensional code generation unit is used to generate a dynamic two-dimensional code according to the resource two-dimensional code; Get the SN data of the device, perform MD5 encryption on the SN data to obtain encrypted data, add the room code to the first digit of the encrypted data, add the module code to the third digit of the encrypted data, and add the cabinet code to the fifth digit of the encrypted data to form a unique string of code data, and generate a dynamic QR code based on this data; A data analysis unit is used to conduct risk assessment based on work order information and external environment information to obtain assessment results; A resource matching unit, used to match a corresponding working mode according to the evaluation result; The fault push unit is used by the client to fill in the fault information and upload it to the server. The fault information can be directly pushed to the WeChat APP of the operation and maintenance personnel, so that the operation and maintenance personnel can quickly view the fault information. The risk assessment locates the location of the operation and maintenance personnel in real time and generates a two-dimensional path map to the problematic equipment. The optimal work order sequence is obtained based on the work order information and external environment information and a path navigation suggestion is generated.

2. The multi-layer intelligent operation and maintenance system for multi-tenants of a third-party data center according to claim 1 is characterized in that: It also includes a performance analysis unit, which is used to obtain the performance of the operation and maintenance personnel according to the operation and maintenance type classification and the order acceptance time.

3. The multi-layer intelligent operation and maintenance system for multi-tenants of a third-party data center according to claim 1 is characterized in that: The client and the server are both configured as one or more of a PC terminal and a mobile terminal.

4. The multi-layer intelligent operation and maintenance system for multi-tenants of a third-party data center according to claim 1 is characterized in that: The work order information includes work order type, work order difficulty, and average work order completion time.

5. The multi-layer intelligent operation and maintenance system for multi-tenants of a third-party data center according to claim 1 is characterized in that: The external environment information includes the average completion time of the operation and maintenance personnel, the actual environment of the computer room, the distance between the work order equipment points, and the distance between each abnormal equipment.

6. The multi-layer intelligent operation and maintenance system for multi-tenants of a third-party data center according to claim 1 is characterized in that: The client scans the label on the server through the mobile phone camera to obtain the server QR code.

7. The multi-layer intelligent operation and maintenance system for multi-tenants of a third-party data center according to claim 2 is characterized in that: The order acceptance time refers to the time between when the operation and maintenance personnel click to accept the work order on their own device and when the customer clicks to complete the work order.

8. A multi-layer intelligent operation and maintenance method for multi-tenants of a third-party data center, based on the multi-layer intelligent operation and maintenance system for multi-tenants of a third-party data center according to any one of claims 1 to 7, characterized in that: The following steps are involved: Initialize the binding of the device and generate a dynamic QR code corresponding to the unique identifier of the device according to the encryption algorithm; The mobile terminal obtains device information, confirms the device's location information, and binds the device by scanning; Obtain device identity information based on the QR code, transmit the device identity information to the server, query the matching device information based on the device identity information, and display the return value on the terminal; For faulty equipment, fill in the fault information through the mobile terminal and upload it to the server, so as to realize the reporting of equipment faults in the computer room; Faulty equipment is detected by a fault identification unit, which takes images containing machine fault information at the operation and maintenance site. The fault information is a text image containing machine fault information and system log fault records. The image and text recognition technology in the background is used to search and compare with the existing knowledge base and intelligently determine the type.

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