In today's era, electronic information engineering technology is gradually thriving in various fields of society, and various advanced technologies are also widely adopted. This has led to innovation in various types of commerce conducted through electronic means in our country, and also provided some traditional enterprises with opportunities to impact the market. Using electronic information technology to manage enterprises can effectively share relevant information, reduce labor, and improve management efficiency. Gradually transitioning existing enterprises to the main form of e-commerce has become an important goal for enterprises in their later development. In addition, various shortcomings have emerged when using electronic information technology, which need to be addressed in a timely manner. The development and application of advanced technology have greatly increased the speed of economic development. The application of electronic information technology can not only promote economic development to a certain extent, but also directly improve the economic benefits of enterprises. Electronic information technology, as a new type of technology, is mainly based on computer networks and aims to achieve intelligence in enterprise management and operation.
Through in-depth analysis and understanding, combined with years of experience in the security industry, Longyun Intelligent Technology has launched an Artificial Intelligence for IT Operations management system based on the "Internet of Things", with "Big data" as the carrier and "artificial intelligence" as the core. The system can provide Artificial Intelligence for IT Operations management for video monitoring front-end equipment, so as to achieve pre judgment, in-process processing, post analysis and all-round solution. Effectively solve the problems of untimely detection of front-end equipment faults and delayed fault handling. In addition, the implementation of this solution can also reduce overall maintenance costs, improve the work efficiency of operation and maintenance personnel, and facilitate the systematization of maintenance work and standardized management.
(1) System architecture
Network dynamic monitoring technology, edge computing, front-end perception layer access technology, taking into account the future development trend, took the lead in designing a set of advanced and forward-looking Artificial Intelligence for IT Operations management system in the industry.
● This solution greatly reduces the workload of front-end equipment maintenance, improves maintenance efficiency, meets the needs of facility maintenance and management, and greatly reduces maintenance and management costs through an optimized combination of software and hardware. It has high cost-effectiveness and practical value.
● The equipment used in the system is of industrial grade design and BS development architecture, with strong software compatibility to ensure long-term stable operation. Ensure that the device can still alarm normally in the event of a power outage.
● The system adopts universal and standard data communication protocols and interfaces, compatible with all manufacturers' equipment, and can be accessed with simple circuit modifications, making it simple and convenient.
● In the design and selection of system software and hardware, we fully consider its scalability, and the system structure is easy to expand to adapt to larger task loads that may arise in the future. The hardware platform has scalability, and when needed, additional external devices can be added by expanding the interface to achieve more maintenance functions.
● Fully utilizing mature advanced technology and adopting cost-effective products, the system adopts stable and easy-to-use hardware and software, without the need for any specialized maintenance tools. This not only reduces the cost of training management personnel on professional knowledge, but also saves on frequent daily maintenance costs.
(2) Network architecture
● Longyun Intelligent Technology Artificial Intelligence for IT Operations Management System adopts a four tier architecture design, which is divided into acquisition layer, support layer, application layer and presentation layer.
● Collection layer: The collection layer mainly collects the operating status and environment data of devices. Fault data and repair data collected through intelligent device controllers and various sensors, such as front-end device system crashes, program blockages, power outages, network disconnections, and environmental temperature exceeding limits.
● Support layer: The support layer provides strong support for the system application layer through the application server, mainly including core algorithms such as image quality diagnosis, fault diagnosis, fault repair, performance monitoring, and operation and maintenance process engines.
● Application layer: The application layer is a very important part of the Artificial Intelligence for IT Operations system and an important link of information processing. It can be divided into environmental monitoring, fault diagnosis/repair, and network management according to its functions. The environmental monitoring function enables real-time monitoring of power supply, main switch, network, temperature, and box door opening/closing status. The fault diagnosis/repair function includes fault monitoring and automatic fault repair functions such as device crash, program stuck, no data, etc.
● Display layer: The final display interface of the system, including graphical display interfaces such as bar/curve/GIS maps, statistical analysis reports, notification alarms, work order distribution, etc.
(3) On site environmental testing
(4) Remote management of multiple devices through web pages
(5) Real time view of device status in map mode
In map mode, the devices can be distributed on the map with city coordinates according to the selected list of cities. Green indicates that the device is operating normally, and red indicates that the device is faulty. The icon can be dragged on the map to change the location. Click the list of devices on the left to automatically zoom in and locate the device on the map. Remote management of web pages allows for remote display and setting of device status parameters. Log queries can be used to view the causes of malfunctioning devices, including device network port disconnection, network port disconnection, device restart, temperature and humidity alarm, fan operation status, device power output, and electrical port POE output.
