CN114693070A - Multi-layer intelligent operation and maintenance system and method for multiple tenants of third-party data center - Google Patents
Multi-layer intelligent operation and maintenance system and method for multiple tenants of third-party data center Download PDFInfo
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Abstract
The invention provides a multi-tenant multi-layer intelligent operation and maintenance system and method for a third-party data center, wherein the multi-tenant multi-layer intelligent operation and maintenance system comprises a resource two-dimensional code, and the resource two-dimensional code is used as a unique equipment identifier for matching detailed information of equipment; the two-dimension code generating unit is used for generating a dynamic two-dimension code according to the resource two-dimension code; the data analysis unit is used for carrying out risk assessment according to the work order information and the external environment information to obtain an assessment result; the resource matching unit is used for matching the corresponding working mode according to the evaluation result; and the fault pushing unit is used for filling fault information in the client and uploading the fault information to the server. The invention can greatly simplify the daily work of operation and maintenance personnel of the machine room, improve the operation and maintenance, quickly complete tasks and effectively improve the working efficiency.
Description
Technical Field
The invention relates to the technical field of machine room management operation and maintenance, in particular to a multi-tenant multi-layer intelligent operation and maintenance system and method for a third-party data center.
Background
The IT operation and maintenance is a core and key part of machine room management and also a part with the most content and the most complexity, the process is mainly used for daily operation and management in an IT department, and related objects are divided into two major parts, namely an IT business system and operation and maintenance personnel; the business operation and maintenance is a core and key part of business requirements and user experience, and particularly needs to describe, load and maintain the process of complicated and continuously changing contents and supporting different business requirements, and related objects comprise two types of personnel, wherein one type is a technical personnel for providing business support, and the other type is a management layer and a business backbone of the whole organization; the daily management operation and maintenance is the management and control of the IT operation and maintenance and the business operation and maintenance requirements, processes and results, and the management and control of the operation state of the whole management information system, so that the record and the tracking of the application change, the change and the tracking of different regions, the risk and the precaution management of the prediction environment and the application and the like are realized, and the related objects are mainly managers and participators of the operation and maintenance management department.
However, the traditional IT operation and maintenance products usually rely on websites to display the equipment state and process work orders in real time, operation and maintenance personnel need to monitor the products all the time, and a plurality of functions are packaged into App of a mobile phone. The working process of the traditional operation and maintenance is optimized by depending on the camera scanning of the mobile phone and the IM instant messaging functions of convenient message pushing, reminding and the like.
Disclosure of Invention
In view of this, the invention provides a multi-layer intelligent operation and maintenance system and method for multiple tenants of a third-party data center.
In order to solve the technical problems, the invention adopts the technical scheme that: multi-tenant multi-layer intelligent operation and maintenance system for third-party data center, comprising:
the resource two-dimensional code is used as a unique equipment identifier and is used for matching detailed information of equipment;
the two-dimension code generating unit is used for generating a dynamic two-dimension code according to the resource two-dimension code;
the data analysis unit is used for carrying out risk assessment according to the work order information and the external environment information to obtain an assessment result;
the resource matching unit is used for matching the corresponding working mode according to the evaluation result;
and the fault pushing unit is used for filling fault information in the client and uploading the fault information to the server.
In the invention, preferably, the system further comprises a performance analysis unit, and the performance analysis unit is used for obtaining the performance condition of the operation and maintenance personnel according to the operation and maintenance category classification and the order receiving duration.
In the present invention, preferably, the client and the server are both configured as one or more of a PC end and a mobile end.
In the present invention, preferably, the work order information includes a work order type, a work order difficulty level, and a work order average completion time.
In the present invention, preferably, the external environment information includes an average completion time of operation and maintenance personnel, an actual environment of a machine room, a distance between work order equipment points, and a distance between abnormal equipment.
In the present invention, preferably, the client scans a label on the server through a mobile phone camera to obtain the server two-dimensional code.
In the invention, preferably, the order receiving time length is the time length between the time when the operation and maintenance personnel click to receive the work order by the equipment of the operation and maintenance personnel and the time when the customer clicks to finish the work order.
In the invention, preferably, the risk assessment positions the position of the operation and maintenance personnel in real time, generates a two-dimensional path diagram reaching the problem equipment, obtains an optimal work order sequence according to the work order information and the external environment information, and generates a path navigation suggestion.
In the present invention, preferably, the dynamic two-dimensional code is dynamically generated by an encryption algorithm.
The multi-tenant multi-layer intelligent operation and maintenance method for the third-party data center comprises the following steps:
carrying out initialization binding on equipment, and generating a dynamic two-dimensional code of a unique identifier corresponding to the equipment according to an encryption algorithm;
the mobile terminal acquires equipment information, confirms the position information of the equipment and binds the equipment through scanning;
acquiring equipment identity information according to the two-dimensional code, transmitting the equipment identity information to a server, inquiring equipment information matched with the equipment identity information according to the equipment identity information, and returning the equipment identity information to a terminal for displaying;
and for the equipment with the fault, filling fault information through the mobile terminal and uploading the fault information to the server terminal, thereby realizing the fault reporting of the equipment in the machine room.
In the present invention, it is preferable that the malfunctioning device is detected by a malfunction recognition unit which photographs an image containing information on the malfunction of the machine through the operation and maintenance site.
The invention has the advantages and positive effects that: according to the invention, through the mutual cooperation of the two-dimensional code generation unit, the data analysis unit, the resource matching unit and the fault pushing unit, the daily work of operation and maintenance personnel of the machine room is greatly simplified, and the technical problems that the fault reasons can only be counted by an Excel table and the problems are processed by experience in the existing machine room are solved.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of a third-party data center multi-tenant oriented multi-layer intelligent operation and maintenance method.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
As shown in fig. 1, the present invention provides a multi-tenant multi-tier intelligent operation and maintenance system and method for a third-party data center, including:
the resource two-dimensional code is used as the unique equipment identifier for matching the detailed information of the equipment;
the two-dimension code generating unit is used for generating a dynamic two-dimension code according to the resource two-dimension code; according to the generation of the resource two-dimensional code, a two-dimensional code is dynamically generated through a background encryption algorithm, specifically, unique identification SN data representing resources such as a server and the like is subjected to MD5 encryption coding, a machine room code is added to a position 1 of MD5 encryption coded data formed by SN, a module code is added to a position 3, a cabinet code is added to a position 5, a unique string of code data is formed, and the two-dimensional code (the machine room, the module and the cabinet code are coded code data) is generated according to the data to serve as the unique identification of the equipment. The equipment cabinet and the asset equipment are covered (a client machine specified in a contract is managed to a specific machine room cabinet, then a unique encrypted two-dimensional code is generated when a background is recorded, and the encrypted two-dimensional code is bound), and the two-dimensional code generated before the information of the asset and the equipment cabinet changes does not need to be replaced.
The data analysis unit is used for carrying out risk assessment according to the work order information and the external environment information to obtain an assessment result;
the resource matching unit is used for matching the corresponding working mode according to the evaluation result; the method comprises the steps of counting the average order receiving time, the average finishing time, the equipment putting-on and putting-off time, the work order evaluation and the like of operation and maintenance personnel, comprehensively measuring the performance condition of the operation and maintenance, intelligently matching the work orders according to the performance of the operation and maintenance personnel and automatically placing orders, specifically considering the current working state (idle time or busy time) of the operation and maintenance personnel, considering the matching degree of the current work order type and the adequacy field of the operation and maintenance personnel, and achieving automatic ordering.
And the fault pushing unit is used for filling fault information in the client and uploading the fault information to the server. Can direct propelling movement fault information believe the end a little to fortune dimension personnel's APP, be convenient for fortune dimension personnel look over fault information fast, and the relevant knowledge base of propelling movement solves the trouble with assisting fortune dimension personnel sooner, can realize removing and report the trouble.
In addition, the background issues tasks intelligently by operation and maintenance management or according to time, specifically, a general operation and maintenance manager allocates tasks according to scheduling, the intelligent task one means that the equipment runs for a long time (is not shut down for a long time), the time point of 3 years or 5 years is reached, the operation and maintenance personnel need to comprehensively check the running condition of the equipment, the equipment cannot communicate (abnormal shut down and the like) and is pushed to a mobile phone of the appointed operation and maintenance personnel, the operation and maintenance starts to perform asset inventory, found problems are reported and submitted in time, and the operation and maintenance management can perform each step of data examination and modification in the background.
In this embodiment, further, the system further comprises a performance analysis unit, and the performance analysis unit is used for obtaining the performance condition of the operation and maintenance personnel according to the operation and maintenance category classification and the order receiving duration. The performance condition of the operation and maintenance personnel is obtained by counting the average order receiving time, the average finishing time, the equipment putting-on and putting-off time and the work order evaluation factor indexes of the operation and maintenance personnel, the operation and maintenance personnel are classified according to the operation and maintenance types, the operation and maintenance personnel start timing when the equipment clicks the work order, and the time is up to the time when the customer clicks the finished work order, if the customer forgets to click the finished work, the operation and maintenance personnel can remind the customer to click the finished work order through APP. The performance condition mainly comes from daily task arrangement of operation and maintenance personnel and the completion condition, generally accounts for 30%, and comprehensive assessment is mainly carried out according to operation and maintenance attendance of a machine room and operation and maintenance management, and the field of excellence and the type of a work order of each operation and maintenance personnel are found out according to the performance condition of the operation and maintenance personnel, so that the overall service quality can be effectively improved according to the actual condition of the operation and maintenance personnel.
In this embodiment, the client and the server are both configured as one or more of a PC end and a mobile end. The core resource list (including the names, models, basic configuration and operation conditions (CPU/memory/network/storage)) synchronized with the monitoring system can be conveniently checked through the mobile terminal, and the resource operation condition can be known in real time.
In this embodiment, the work order information further includes a work order type, a work order difficulty level, and a work order average completion time. The operation and maintenance personnel can receive the information pushed by the task processing, different colors represent different task levels, the corresponding speed is increased, the flow is simple and convenient, the operation and maintenance personnel can solve the tasks conveniently, and the working efficiency is improved. Fortune dimension personnel can connect several kinds of the different modules of same computer lab, also several kinds of work orders of the same kind, this quick path algorithm of intelligence can be in real time automatic positioning fortune dimension position and generate the inside two-dimensional path map of the problem equipment of shortest arrival computer lab, the specific type of multidimension calculation work order, the work order degree of difficulty, the average completion time of work order, this fortune dimension personnel's average completion time, the computer lab is environment on the spot, the distance of all work order equipment points and the distance between each unusual equipment are through big data statistical analysis, calculate the shortest path, the best work order is in order and is generated the route navigation suggestion, utilize cell-phone gyroscope and the real-time voice broadcast position of location and trend, and refresh in real time. Effectively helping the operation and maintenance to improve the processing speed and efficiency.
In this embodiment, further, the external environment information includes an average completion time of the operation and maintenance staff, an actual environment of the machine room, a distance between the work order equipment points, and a distance between each abnormal equipment. And calculating the shortest path by synthesizing the specific type of the work order, the difficulty degree of the work order, the average completion time of the operation and maintenance personnel, the field environment of the machine room, the distances of all the work order equipment points, the distances among all abnormal equipment and the like through big data statistical analysis, and generating the optimal work order sequence.
After the work order is pushed to the operation and maintenance personnel, the time for waiting for the operation and maintenance personnel to receive the work order can be very long, the system intelligently recommends and lists a first order receiving person, a second order receiving person and a third order receiving person according to the intelligent analysis and judgment of the specific description of the work order, through the optimization time-limited order grabbing algorithm, when the first order is not received within 10 seconds, the order can be pushed to the second order receiving person, the order is still not received, the order is pushed to the third order receiving person after 10 seconds, if the first order is received at the moment, the subsequent operation and maintenance are invalid, if the fifth order is received, the previous operation and maintenance cannot receive the order, meanwhile, the waiting time for receiving the order and the average order receiving time of the order receiving person are recorded, the time of the work order is completed, after the operation and maintenance are received, whether the work order is overtime or not, the state such as no response is judged according to the type of the work order, and the problem processing speed of a client and the work efficiency of the operation and the maintenance are effectively improved. The daily order receiving work of machine room operation and maintenance personnel is greatly simplified, the conventional machine room can only depend on Excel tables to distribute tasks, and the work efficiency is greatly reduced. The intelligent work order pushing solves the problems that the waiting time of a client and the operation and maintenance do not receive orders, the orders are not responded, the response time is overtime and the like.
In this embodiment, further, the client scans a label on the server through a camera of the mobile phone to obtain the two-dimensional code of the server. The operation and maintenance personnel only need this App of an installation Android cell-phone alright sweep the sign indicating number with the camera through the cell-phone, and the scanning is comparatively portable, through scanning rack and asset information, judges the profit and loss condition of computer lab equipment (the backstage control can look over all equipment at the trusteeship in real time, has got off the shelf, has put on the shelf, inventory equipment, scrapped equipment condition, judges the profit and loss of the present computer lab rate of putting on the shelf tentatively according to the trusteeship condition, and concrete profit and loss need combine financial statement to see).
In this embodiment, the order receiving duration is a duration between when the operation and maintenance staff click to receive the work order by the device of the operation and maintenance staff and when the customer clicks to complete the work order.
In the embodiment, further, the risk assessment positions the position of the operation and maintenance personnel in real time, generates a two-dimensional path diagram reaching the problem equipment, obtains an optimal work order sequence according to the work order information and the external environment information, and generates a path navigation suggestion. The operation and maintenance personnel can receive several types of different modules of the same machine room, also several types of work orders of the same type, the intelligent rapid path algorithm can automatically position the operation and maintenance position in real time and generate an internal two-position path diagram of the problem equipment which can reach the machine room in the shortest way, the specific type of the work orders is calculated in a multidimensional way, the difficulty and the easiness of the work orders, the average completion time of the operation and maintenance personnel, the field environment of the machine room, the distances between all work order equipment points and the distances between all abnormal equipment are analyzed through big data statistics, the shortest path is calculated, the optimal work orders generate path navigation suggestions in sequence, the position and the trend are broadcasted through real-time voice by utilizing a mobile phone gyroscope and positioning, the real-time refreshing is realized, and the operation and maintenance are effectively helped to improve the processing speed and the efficiency. The invention greatly simplifies the daily work of machine room operation and maintenance personnel, the existing machine room can only count the fault reasons by an Excel table, the problems are processed by experience, the invention adopts a scientific identification, detection, statistical comparison method, combines the historical normal average completion time and the machine room environment (identifying keywords according to image uploading, searching and comparing a problem knowledge base), automatically positions and suggests the completion sequence, and utilizes a mobile phone gyroscope and positions to broadcast the position and the trend by real-time voice, thereby improving the operation and maintenance to quickly complete the task and effectively improving the working efficiency.
In this embodiment, further, the dynamic two-dimensional code is dynamically generated through an encryption algorithm, where the encryption algorithm is specifically to obtain SN data associated with device binding, and perform MD5 encryption coding on the SN data to obtain encrypted coded data, where a first bit of the encrypted coded data is a machine room code, a third bit of the encrypted coded data is a module code, and a fifth bit of the encrypted coded data is a cabinet code.
The multi-tenant multi-layer intelligent operation and maintenance method for the third-party data center comprises the following steps:
carrying out initialization binding on the equipment, and generating a unique identifier corresponding to the equipment according to the equipment information;
the mobile terminal acquires equipment information, confirms the position information of the equipment and binds the equipment through scanning;
acquiring equipment identity information according to the two-dimensional code, transmitting the equipment identity information to a server, inquiring equipment information matched with the equipment identity information according to the equipment identity information, and returning the equipment identity information to a terminal for displaying;
and for the equipment with the fault, filling fault information through the mobile terminal and uploading the fault information to the server terminal, thereby realizing the fault reporting of the equipment in the machine room.
In the embodiment, further, the fault equipment is detected by a fault identification unit, and the fault identification unit shoots an image containing the fault information of the machine through the operation and maintenance site. The method comprises the steps of operation and maintenance site scene fault identification, machine fault information and other images shot in an operation and maintenance site, system log fault recording, screen image shooting, character shooting and the like (codes and character information displayed on a screen when a server is wrong) by a handheld mobile terminal, retrieval and comparison (specific character keywords are identified by an image in the background and compared with a problem knowledge base, and the search is similar to the search of problems and answers by keywords) with the background image-text identification technology and the existing knowledge base, intelligent judgment type, comprehensive modeling analysis of a plurality of dimensions such as a background historical similar work order processing method and a similar work order processing method with higher customer score, and the like, and recommending to an operation and maintenance most appropriate and convenient processing method, so that the operation and maintenance can quickly locate fault types and refer to specific or similar fault processing experiences, and the operation and maintenance working efficiency is greatly improved. The invention adopts scientific identification, detection and statistical comparison methods, combines historical normal state parameters stored in a database with threshold value comparison, automatically identifies and recommends processing methods and suggestions to operation and maintenance personnel, and improves the operation and maintenance level and efficiency.
The embodiments of the present invention have been described in detail, but the description is only for the preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. All equivalent changes and modifications made within the scope of the present invention should be covered by the present patent.
Claims (10)
1. Multi-layer intelligent operation and maintenance system for multi-tenants of third-party data center is characterized by comprising:
the resource two-dimensional code is used as a unique equipment identifier and is used for matching detailed information of the equipment;
the two-dimension code generating unit is used for generating a dynamic two-dimension code according to the resource two-dimension code;
the data analysis unit is used for carrying out risk assessment according to the work order information and the external environment information to obtain an assessment result;
the resource matching unit is used for matching the corresponding working mode according to the evaluation result;
and the fault pushing unit is used for filling fault information in the client and uploading the fault information to the server.
2. The third-party data center multi-tenant oriented multi-layer intelligent operation and maintenance system as claimed in claim 1, further comprising a performance analysis unit, wherein the performance analysis unit is used for obtaining performance of operation and maintenance personnel according to operation and maintenance category classification and order receiving duration.
3. The third-party data center multi-tenant oriented multi-layer intelligent operation and maintenance system as claimed in claim 1, wherein the client and the server are both set as one or more of a PC end and a mobile end.
4. The third-party data center multi-tenant oriented multi-layer intelligent operation and maintenance system as claimed in claim 1, wherein the work order information comprises work order type, work order difficulty level and work order average completion time.
5. The third-party data center multi-tenant oriented multi-layer intelligent operation and maintenance system as claimed in claim 1, wherein the external environment information comprises average completion time of operation and maintenance personnel, actual environment of a machine room, distance between work order equipment points and distance between abnormal equipment.
6. The multi-layer intelligent operation and maintenance system facing the third-party data center and the multiple tenants is characterized in that the client scans a label on the server through a mobile phone camera to obtain the two-dimensional code of the server.
7. The multi-tenant intelligent operation and maintenance system oriented to the third-party data center as claimed in claim 1, wherein the order receiving duration is a duration between when the operation and maintenance staff click to receive the work order by the own device and when the customer click to complete the work order.
8. The third-party data center multi-tenant oriented multi-layer intelligent operation and maintenance system as claimed in claim 1, wherein the risk assessment real-time positions operation and maintenance personnel and generates a two-dimensional path diagram to problem equipment, and an optimal work order sequence and a path navigation suggestion are obtained according to work order information and external environment information.
9. The multi-layer intelligent operation and maintenance method facing the third-party data center and the multiple tenants is characterized by comprising the following steps of:
carrying out initialization binding on equipment, and generating a dynamic two-dimensional code of a unique identifier corresponding to the equipment according to an encryption algorithm;
the mobile terminal acquires equipment information, confirms the position information of the equipment and binds the equipment through scanning;
acquiring equipment identity information according to the two-dimensional code, transmitting the equipment identity information to a server, inquiring equipment information matched with the equipment identity information according to the equipment identity information, and returning the equipment identity information to a terminal for displaying;
and for the equipment with the fault, filling fault information through the mobile terminal and uploading the fault information to the server terminal, thereby realizing the fault reporting of the equipment in the machine room.
10. The third-party data center multi-tenant oriented multi-layer intelligent operation and maintenance method as claimed in claim 1, wherein a device with a fault is detected through a fault recognition unit, and the fault recognition unit shoots an image containing machine fault information through an operation and maintenance site.
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| CN109784625A (en) * | 2018-12-10 | 2019-05-21 | 南京南瑞信息通信科技有限公司 | A kind of work order intelligence distributing method based on personnel ability's analysis |
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