Extraction force
1. Check whether the network connection is stable, and try other time periods
2. It is suggested to change other websites for a try
3. Try to connect other wireless networks to play
4. If the problem still exists, it is recommended to update the firmware version of the machine
if the problem still exists through the above methods, please take the purchase invoice, warranty card and the machine to the service center, and the engineer will check the machine and deal with it.
in the centralized management mode, the disadvantages of privacy leakage, easy to be attacked, and information opacity are inevitable, but the characteristics of blockchain technology, such as decentralization, anonymity, security, and sharing mechanism, can just solve these problems. With the graal improvement and application of blockchain projects, it will be widely used in medical, tax, logistics, payment and other fields in the future, realizing the global access of medical information, real-time update of logistics information, transparency of tax asset information, and efficient payment and settlement, which can greatly optimize the shortcomings of the existing centralized management mode
at present, many governments and enterprises have shown extremely friendly attitude towards it, and vigorously promote the application research of new technologies such as blockchain and artificial intelligence. However, the current blockchain technology is not mature enough, and there are still many defects, such as the risk of 51% computing power attack, huge full node data, slow confirmation speed, etc, These are the problems that need to be solved in the current development of blockchain technology. Although it is still imperfect, some unique characteristics it presents have indicated that it will continue to develop
with the development of blockchain technology, several upgrades have been completed, some new applications have been improved and developed, and the research and development value has been increased. In a few years or more, blockchain technology will become mature, or will be applied more widely, so as to improve people's lifestyle.
Shoulong can be pulled out at any time in the gyro world, and the probability of pulling out Shoulong in each time period is the same when a level 40 dragon is synthesized, it will enter the Dragon pumping stage. Randomly selected dragons are: red dragon, Furong, green dragon, computing power, ten painted dragon, couple dragon, red envelope dragon, Xilong, Shoulong, five painted dragon, Fugui dragon, etc the more you buy Dragons of the same level, the more expensive they are, so don't buy too many. In order to maximize revenue and save time, you can use time to brush gold coins to buy the first 14 dragons, and 15 and 16 can buy gold coins from advertisements extended data: the specific method of synthesizing Shoulong is as follows: first, you need to prepare a mobile phone, which is installed with the [gyro world] app, and you need to prepare two 39 level dragons 1. Open the top world app on your mobile phone and click login
under the background of the great change of the intelligent networked automobile instry, as a mode that automobile enterprises need to explore, automotive software has become a consensus that the instry needs to explore from the perspective of proct definition. In this case, the traditional automobile using the classic distributed E / E architecture has encountered the core bottleneck. The main reasons are: the lack of computing power of a single ECU, the consolidation of proct SOP e to the iterative integration of software and hardware of suppliers, the lack of communication bandwidth for more functions in the future, etc., which can not meet the needs of the future automobile development
in the current EE electronic and electrical upgrade, there are several outstanding features worthy of attention:
1) the hardware architecture of Automotive ECU and the network upgrade of ECU working together. The upgrading path is distributed (molarization → integration), domain centralized (domain control Centralized → cross domain integration), and centralized (vehicle computer → vehicle Cloud Computing). In this process, the backbone of vehicular network develops from can bus to canfd and Ethernet, and even to the later stage, the overall design of vehicular computer may be developed by using the board communication architecture of PCI
2) software architecture upgrade. Through the software architecture such as AUTOSAR and AUTOSAR adaptive, it provides the standard interface definition and molar design, promotes the decoupling and layering of software and hardware, and realizes the separation of software and hardware design;? The architecture of classic AUTOSAR is graally changing to the hybrid architecture of classic AUTOSAR and adaptive AUTOSAR. The advantages are: OTA upgrade of software / firmware, real-time software architecture and portability of operating system; The multi-functional application of collecting data information can effectively rece the hardware demand and truly realize the software defined automobile
on the hardware of intelligent car computing platform, most car companies will adopt hybrid architecture. The traditional main controller is mainly based on 32-bit TRICORE, PowerPC and 850 architecture microprocessor, mainly as a part of rendancy and compatibility. For automatic driving and interactive applications that consume a lot of AI and computing power, GPP general-purpose processor, hardware accelerator (HWA) and embedded programmable logic array (FPGA) should be provided. The biggest improvement of domain controller lies in the improvement of chip computing power, which also makes the direct communication between chip manufacturers and vehicle enterprises need to be considered jointly with software at this level
the typical architecture is similar to that of BMW. As shown in the figure below, all the basis of intelligent driving of BMW is the basic chip platform based on Intel and Mobileye. On this basic chip platform,
02 Centrino's chip platform,
hardware architecture of intelligent car computing platform, and SOC chip based on high-performance CPU / GPU realize entertainment, automatic driving and internal high-speed communication, It needs powerful hardware computing resources. In the field of intelligent driving, it can realize environment sensing positioning, path decision planning and vehicle motion control based on multi information fusion such as camera, millimeter wave radar, lidar, positioning system and high-precision map, so as to meet the control requirements of high performance and high safety of intelligent driving system. In the field of entertainment, processing a large number of video data in the background to meet the external high-speed data transmission, all of which require the chip in the computing platform to meet the strong computing power, meet the requirements of computing performance and real-time, meet the functional security requirements of ISO 26262, meet the requirements of information security, support a variety of in car communication protocols such as canfd / Ethernet, support FOTA upgrade, realize function iteration, and realize the function integration It can meet the vehicle specification level standards (temperature, electromagnetic compatibility, reliability, etc.) and meet the cost requirements
what we see here is more about the layout of foreign chip companies in the automotive field, and maybe Samsung and Apple will also participate in this game in the future
Intel tried to release the automatic driving platform intelgo in the early stage, and completed the layout through merger and acquisition, including Mobileye's eyeq series special chip, Altera's FPGA chip, movidius's visual processing unit Vpu, and its own 8-core override chip CPU processor, forming an overall hardware solution for automatic driving
NVIDIA's drive PX and PX2 can meet L2 and L3 ADAS applications, and provide partners with a full set of customizable solutions from the underlying computing, operating system layer, software algorithm layer and application layer; Autopilot processor Xavier and Orin chip can meet L3 / L4 level autopilot application, integrating NVIDIA new generation GPU architecture and arm Hercules CPU core, as well as new deep learning and computer vision accelerator
by upgrading its mobile processing chip to vehicle specification level, Qualcomm has entered the automotive electronics field. In 2019, 820a, a mass-proced ADAS application, supports deep learning. After iteration, Qualcomm released snapdragon ride, an automatic driving chip platform, which adopts molar high-performance heterogeneous multi-core CPU / GPU, including deep learning accelerator and automatic driving software stack, Built in AI computer vision engine
the positioning of the three chips released by Centrino this time is very interesting:
x9 series chips are used to support the future intelligent cockpit: in the traditional car cockpit, the communication between people and cars can only be carried out through buttons and basic touch screen, etc; One x9 chip can support multiple high-definition screens at the same time, with voice interaction, gesture recognition, driver status monitoring and other functions, which can make people feel diversified interactive experience in the car
V9 series chip is the core brain of autopilot: as the core of domain controller, V9 has built-in high-performance visual engine and supports up to 18 camera inputs, which can not only meet the application requirements of ADAS, but also leave enough room for future higher level autopilot and unmanned driving
G9 series chip is the intelligent information hub of future automobile; X9 intelligent cockpit, V9 intelligent driving, and other functional moles and domain controllers were originally independent of each other. G9 played an interactive role in them, making each functional mole interconnected in the car, forming an intelligent neural network for future cars. At the same time, G9 can also connect to the external network, support OTA online upgrade, automatic driving online start and other functions
in my opinion, the launch of these procts, especially the promotion of chip application by Centrino and some ecological partners, is really a meaningful attempt, which can give the instry more choices. In traditional semiconctors, we usually use three dimensions to evaluate a semiconctor: performance, power and price. There are three dimensions for the car gauge chip: safety, reliability and long-term effect. Focusing on the demand of the future computing platform for smart cars, we can only see Huawei moving mobile phone chips to the automotive level, and not many other enterprises focus on this field
summary: in this article, I think we should focus on the significance of SOC chip platform. We can take a look at the videos of the three proct launches. Later, we will talk about some summaries of the architects of Centrino, which is very interesting
this article comes from the author of car home, which does not represent the standpoint of car home.
unlock the new function of software driver
the current automobile architecture is not only complex in structure, but also high in development cost. SVA has intelligent abstraction, standardized interface and extensible computing capability. It can make the development of software applications independent of hardware, and reuse these applications across platforms, so as to rece costs and expand the level of automatic driving
rece the complexity of automobile architecture
at present, automobile functions are scattered among various controllers. SVA centralizes computing power into more manageable area controllers and allows easy addition of new features. The area controller provides the interface for the sensor, manages the power supply and provides the regional computing power. As a central computing platform, the open server platform can dynamically allocate computing resources to ensure the safe driving of vehicles even in the case of failure of key parts, so as to ensure the safety of vehicles. The design of SVA can optimize the cost and provide more performance and flexibility. Compared with the traditional automotive architecture design, the weight and space required for calculation can be reced by 25%
speed up the development cycle
the current vehicle development, testing and verification process must be carried out in sequence. The design of SVA separates software from hardware, and separates I / O from computing, so as to realize independent parallel development cycle, shorten the time to market, and allow a large number of software reuse. Amber hope that SVA can rece system integration and testing costs and software related warranty costs by about 75% respectively, without the need for model year upgrades
provide a molar architecture that can simplify the manufacturing process
SVA architecture is designed for future factories, where automated manufacturing will ensure quality and rece costs. The molar partition structure of SVA adopts Dock & amp; Lock? The connection system can simplify the vehicle manufacturing and assembly, and the common sub components can rece the SKU by 25%. In addition, ampfort believes that OEM manufacturers using SVA will rece the plant floor space required to assemble the electrical architecture by 20%
unlock a new business model for the automotive instry
server based central computing open server supports wireless software and firmware upgrades, enhances performance, and optimizes data analysis through edge computing. It also provides an open platform and development ecosystem that can access third-party applications, such as various user experience programs, to unlock new business models for the automotive instry
this article comes from the author of car home, which does not represent the standpoint of car home