Cloud computing technology for intelligent data analysis

The current price hikes in storage products have been around for almost a year, and there is still no sign of stopgap in this state of complete market performance. In a recent Garter report, they said they expect to wait until 2019 if the price of storage devices is cut. The report shows that in addition to smart phones and PCs, the Internet of Things devices, autonomous driving and so on have a huge demand for memory chips, the gap is also great. While some memory chips may be the end of the year gains have declined, but the premise is the price has risen to a certain extent.

As information technology continues to evolve, new storage technologies such as flash memory, disks, data centers, and DNA continue to emerge. Even so, it is still difficult to meet the growing storage needs of data volume, coupled with the development of IoT (Internet of Things) industry, resulting in a more alarming volume of data. It is undeniable that many of these data contain value, but can not ignore the alarming volume of data. Do we want to all 44ZB data records and stored by 2020? Therefore, we need to use cloud computing technology to intelligently analyze the data. Today to discuss 2017 security cloud computing core technology.

Storage products into the tide of security Cloud computing technology highlights the importance of

Large-scale hybrid computing

If only a large number of video image data generated by the monitoring system are processed manually, the efficiency will be very low. With the video intelligent processing algorithm, some simple features can be obtained from video image data for comparison or pattern matching Alarm events, improve the efficiency of processing. The amount of data, the degree of data composition, the type of data, etc. that can be handled in this way are still low and can not cope with the massive data and the ever-increasing demand. The purpose of large-scale computing technology is to provide a unified data processing platform, which integrates various intelligent algorithms and computing models to comprehensively process massive monitoring data to obtain more valuable data faster.

Uniform resource management technology

The main data generated by the monitoring system is the video and image data. After the original data is processed, it will produce richer data and the way of processing will be greatly different. For example, historical video data can be processed in the background of the video data retrieval, license plate and face feature data for the bayonets need real-time cloth control, historical mount information needs to be done in real time retrieval. These data all need different computing frameworks to deal with. By introducing a unified resource management platform, different computing frameworks can be operated in the same resource pool to greatly improve the utilization of resources. At the same time, when resources are monopolized by a certain kind of business, Can maximize the performance of the system.

Real-time retrieval technology

The traditional structured data are stored in relational databases. Database clusters are formed by techniques such as RAC and accelerated by indexing. However, the core is still based on row storage and relational operations. In the face of massive records, they have encountered bottlenecks in all aspects . Real-time retrieval technology can deal with 100 billion levels of structured data by introducing technologies such as distributed database, columnar storage, memory computing, indexing engine and so on, which can greatly improve the storage capacity, scalability, retrieval speed and other aspects . The system has important research value and broad application prospect in the field of video surveillance such as intelligent transportation and criminal investigation.

Complex event processing techniques

With the development of the security industry, the business becomes more and more complicated. For example, in the field of intelligent transportation, the demand for vehicle points research, deck car analysis and same-car analysis has emerged. These requirements exist to produce the results depend on many conditions, the process of real-time requirements of high, the need to deal with a huge amount of data and so on. The traditional way is to use a relational database, through the combination of complex SQL statements, constantly check the way of comparison, it is difficult to meet the real-time requirements. Complex event processing By introducing streaming computing and other technologies, dynamic analysis of input data in real time, the processing speed can be provided substantially. Not meet the conditions of the data are discarded, the system only exists in the processing results or may be useful intermediate data, so the requirements of the storage becomes smaller, completely in memory for the whole process of analysis, real-time be guaranteed.

Double-Column Automatic Lifting Hopper Blender

The hopper lifting mixers currently used in Chinese manufacturers mostly adopt the single-arm or double-arm type box structure. During mixing, the rotary device is inside the box, taking large floor space, making installation difficult and increasing load on the ground. During material discharging after the mixing is completed, it is not easy to carry out in-place filling with the next procedure and a special lifting machine is needed to realize the filling procedure, which increases the operation space and enhance work intensity, making the costs far higher than those for column lifting mixers.

Double-column lifting hopper mixer. With small floor space, easy installation, availability of in-place filling, simplified operation procedure, reduced work intensity, enhanced work efficiency and stable performance, this machine is widely applied in such industries as medicine, chemical industry, food and health product, and its structural performance reaches the level of other products of its kind in the world.


Features:

●The operation of the Double Column Automatic Lifting Hopper Blender is very simple, convenient and fast. There are no complex operations such as aligning, clamping, etc. All operations are simplified into the automatic operation procedure of the equipment.

●Compared with former mixers, it saves more space, and its weight is far lower than that of traditional machines, so it is suitable for floor installation.

●The machine has a perfect safety protection system and the gyrator center of gravity is ensured to be within the range of the base. Therefore, it is ensured that the machine can rotate stably and reliably without vibration.

●The machine has an increased mixing angle, so that the movement of materials in the mixing barrel is enhanced, the possibility of material layering is reduced and the mixing evenness is improved.

●The machine is also provided with lifting function. The materials after mixing can be directly subject to in-place lifting and filling, so as to save the space, reduce the transferring process and lower work intensity.

●According to user requirements, it can also be additionally mounted with an automatic weighing system. This weighing system can be connected with PLC to automatically control feeding and filling, ensure consistent weight of materials to be filled and facilitate the measurement and the control of transferring batches.


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Jiangyin Jirui Machinery Manufacturing Co,LTD , https://www.jyjiruimachine.com