Interpretation of "Administrative Measures for Medical Device Recall"

In order to strengthen the supervision and management of medical device recall and effectively promote the implementation of the main responsibility of enterprise recall, according to the Regulations on the Supervision and Administration of Medical Devices (hereinafter referred to as the Regulations), the State Food and Drug Administration has formulated and promulgated the Measures for the Administration of Medical Device Recall (hereinafter referred to as the Measures). The Measures will be implemented on May 1, 2017, and the relevant contents are now interpreted as follows:

I. Why should the Measures be revised?

As a special commodity, medical devices play an important and irreplaceable role in improving people’s health and quality of life. The safety and effectiveness of medical devices is directly related to people’s health and social harmony and stability, and is a major livelihood and public safety issue. If the listed products are defective and cannot be recalled and controlled in time, it may endanger the health and safety of consumers. Therefore, the establishment and implementation of the recall system of medical device products by the state plays an important role in controlling the risks of defective medical device products after listing, eliminating potential safety hazards of devices and protecting public safety. The practice in other countries and other fields also shows that the recall system is a powerful guarantee to safeguard the safety and rights of consumers. Based on the importance of the medical device recall system, in order to strengthen the supervision and management of the recall-related work, in 2011, the Ministry of Health of the People’s Republic of China issued the Administrative Measures for Medical Device Recall (Trial) (Order No.82), which came into effect on July 1, 2011. The publication and implementation of the "Measures (for Trial Implementation)" provides legal guarantee for timely controlling the risks of medical devices after listing and protecting the safety of public equipment. The implementation of medical device recall system is not only an effective method to control the risk of medical devices, promote the progress of production technology and improve product design, but also an important measure to promote production enterprises to improve product quality awareness and standardize market competition order.

The newly revised Regulations in 2014 included the recall system, which also became a highlight of the new version of the Regulations. In order to further strengthen the management of medical device recall, according to the requirements of the Regulations, on the basis of full investigation of recall systems at home and abroad in the early stage, combined with China’s national conditions and practice, and after soliciting opinions from all parties, the "Measures (Trial)" version was repeatedly discussed and revised, and the "Measures" was revised.

2. What are the main contents stipulated in the Measures?

(1) What is the definition of medical device recall?

The recall of medical devices mentioned in the Measures refers to the actions taken by medical device manufacturers to deal with the defective medical device products of a certain category, model or batch that they have sold on the market according to the prescribed procedures, such as warning, inspection, repair, re-labeling, modification and improvement of instructions, software update, replacement, recovery and destruction.

(2) What are the recall obligations of medical device manufacturers?

Medical device manufacturers are responsible for the quality and safety of their medical devices. We should establish and improve the management system of medical device recall in accordance with the provisions of the Measures, collect information related to the safety of medical devices, investigate and evaluate possible defective products, and recall defective products in time.

The agent designated by the overseas manufacturer of imported medical devices in China shall report the relevant information about the recall of medical devices only abroad to china food and drug administration in time; Where the recall is carried out in China, the designated agent in China shall organize the implementation in accordance with the provisions of the Measures.

(3) What are the recall obligations of medical device enterprises and users?

Medical device enterprises and users shall actively assist medical device manufacturers to investigate and evaluate defective products, actively cooperate with the manufacturers to fulfill the recall obligations, timely convey and feedback the recall information of medical devices according to the recall plan, and control and recover the defective products.

(4) What are the categories of medical device recalls?

According to the different starting conditions of medical device recall, medical device recall can be divided into active recall and ordered recall.

Voluntary recall is a legal obligation of medical device manufacturers to evaluate the quality of medical device products according to relevant requirements or information such as product adverse events, and to determine the defects of medical device products, which are voluntarily implemented by the manufacturers. Ordered recall refers to the recall of medical devices by the food and drug supervision and administration department after investigation and evaluation, which believes that medical device manufacturers should recall defective medical device products without taking the initiative to recall them. In practice, enterprises should take the initiative to recall, supplemented by government departments ordering recalls.

(5) What are the levels of medical device recall?

According to the severity of medical device defects, medical device recalls are divided into:

(1) First-class recall: the use of the medical device may or has caused serious health hazards;

(2) Secondary recall: the use of the medical device may or has caused temporary or reversible health hazards;

(3) Three-level recall: it is less likely that the medical device will cause harm, but it still needs to be recalled.

Medical device manufacturers should determine the recall level according to the specific situation and scientifically design the recall plan and organize its implementation according to the recall level and the sales and use of medical devices.

If a medical device manufacturer makes a decision on medical device recall, the first-level recall shall be within 1 day, the second-level recall shall be within 3 days, and the third-level recall shall be within 7 days, and the relevant medical device business enterprises, users or users shall be notified.

The recall notice shall at least include the following contents:

(1) Recall the basic information such as the name and batch number of medical devices;

(2) the reasons for the recall;

(3) requirements for recall, such as immediately suspending the sale and use of the product, forwarding the recall notice to relevant operating enterprises or users, etc.;

(four) the way to deal with the recalled medical devices.

(six) how to punish medical device manufacturers for refusing to recall medical devices?

Medical device manufacturing enterprises, in violation of the provisions of Article 24 of the Measures, refuse to recall medical devices. According to the provisions of Article 66 of the Regulations, the food and drug supervision and administration department of the people’s government at or above the county level shall order them to make corrections and confiscate the medical devices illegally produced, operated or used; If the value of medical devices illegally produced, operated or used is less than 10,000 yuan, a fine ranging from 20,000 yuan to 50,000 yuan shall be imposed; If the value of the goods is more than 10,000 yuan, a fine of more than 5 times and less than 10 times the value of the goods shall be imposed; If the circumstances are serious, it shall be ordered to stop production and business until the original issuing department revokes the registration certificate, production license and business license of medical devices.

(seven) how to punish the medical device operating enterprises and users who refuse to cooperate with the medical device manufacturing enterprises to fulfill the recall responsibility?

Medical device enterprises and users who refuse to cooperate with the investigation of medical device defects or assist medical device manufacturers in recalling medical devices shall be given a warning and ordered to make corrections within a time limit; Those who refuse to make corrections within the time limit shall be fined up to 30,000 yuan.

3. What are the amendments to the Measures?

The Measures include six chapters and thirty-seven articles, including general principles, investigation and evaluation of medical device defects, voluntary recall, ordered recall, legal liability and supplementary provisions. The revision of the Measures retains the framework and main contents of the Measures (for Trial Implementation). According to the Regulations, the scope of recall and individual operating procedures are supplemented and adjusted, the main responsibility and legal responsibility of production enterprises are strengthened, and the punishment for violations of laws and regulations is intensified. The main amendments include:

(a) the implementation of the main responsibility of medical device recall. It is clear that the registrants or filers of domestic medical device products and the agents designated by overseas manufacturers of imported medical devices in China are the main bodies of medical device recall.

(2) The scope of application has been clarified. The Measures (for Trial Implementation) stipulates that "these Measures shall apply to the recall of medical devices sold in People’s Republic of China (PRC) and their supervision and management", and the Measures shall be amended as "the recall of listed medical devices in People’s Republic of China (PRC) and its supervision and management", which clarifies that all medical device products registered in China shall be implemented or reported in accordance with the requirements of these Measures.

(3) Adjusting the scope of defective products. The Measures (Trial) stipulates that "the recall of medical devices mentioned in these Measures refers to the behavior of medical device manufacturers to eliminate defects by warning, inspecting, repairing, relabeling, modifying and perfecting the instructions, upgrading the software, replacing, recalling and destroying a certain category, model or batch of products that have been sold in the market according to the prescribed procedures", "The defects mentioned in these Measures", It means that medical devices have unreasonable risks that may endanger human health and life safety under normal use, that is, the scope of recall is medical devices that have unreasonable risks that may endanger human health and life safety under normal use. According to the newly revised Regulations, the Measures expand the scope of defective products to "(1) products with unreasonable risks that may endanger human health and life safety under normal use; (two) products that do not meet the mandatory standards and the technical requirements of registered or filed products; (three) products that do not meet the relevant provisions of the quality management of medical device production and circulation, which may lead to unreasonable risks; (4) Other products that need to be recalled ".

(4) The content of defect assessment has been added. In response to the revision to expand the scope of defective products, the item "Does the product meet the mandatory standards, registered or filed product technical requirements" has been added in the main content of evaluating the defects of medical devices.

(5) The regulatory authorities that supervise the destruction of recalled products have been adjusted. The "Measures (Trial)" stipulates that "if it needs to be destroyed, it shall be destroyed under the supervision of the drug supervision and administration department at the place of destruction". But in practice, this method is not conducive to practical operation. At the same time, with the rapid development of information technology, the diversification of supervision methods is the general trend. Therefore, the "Measures" were amended as "Those that need to be destroyed shall be destroyed under the supervision of the food and drug supervision and administration department."

(6) Adjusted the requirements for notification of recall information. The "Measures (Trial)" stipulates that "the drug supervision and administration department shall review the report within 10 days from the date of receiving the summary report and evaluate the recall effect. The conclusion of the review and evaluation shall be notified to the medical device manufacturer in written form and copied to the health administrative department at the same level ". In practice, it is difficult to inform medical device manufacturers and health administrative departments at the same level in written form of review and evaluation conclusions. Therefore, the "Measures" cancel the requirement of notifying production enterprises in written form, and change the information notification to the health administrative department to "notify relevant information to the health administrative department at the same level when necessary".

How did cherries catch fire in China? Cherry translates as "cherries or cherries"?

  Recently, I have often seen topics such as hot search about cherries # How did cherries catch fire in China # Cherry freedom # Cherry price halved #, and Xiaobian is actually as curious as many netizens. How did cherries catch fire?

  Many people who eat melons can’t help asking: Are cherries and cherries the same thing? Why are cherries so expensive? Is my cherry unworthy?

  Once upon a time, cherries were the high-grade fruit that the middle class dreamed of, and those who could afford cherries became the favored ones in the circle of friends.

  Before the concept of "Versailles literature", I mastered a full set of writing techniques for all subjects: I ate cherries for three days, and I felt sick and hurt …

  "Cherry" is transliterated fromcherries, that is, English for cherry.cherryThe plural form of. So many people will think that cherries are cherries and cherries are cherries.

  Popular science time:

  Cherry is native to the United States, Canada, Chile and other American countries. It was planted in China in the 1990s, mainly in Shandong, Beijing, Liaoning, Shanxi and other provinces. In the market, the large-grained foreign cherry varieties are called cherries, mainly to distinguish the cherries in China market. In fact, they belong to the deciduous shrub fruit tree of Rosaceae, which is the same plant, but the varieties are different.

  The cherries mentioned in the market are imported European sweet cherries (prunus avium), and the domestic small cherry (prunus
pseudocerasus
) is called cherry. In Guangdong, Hong Kong and Macao, China cherries are difficult to grow. People here mainly eat sweet cherries from abroad, which translates into "cherries" in Cantonese. Cherry refers to a large thick-skinned cherry produced in the United States, Canada, Chile and other American countries, which belongs to European cherry and is more expensive. The cherry native to China is a small cherry, with thin skin, juicy skin and slightly sour taste.

  Generally, summer (April-August) is dominated by China cherries, Canadian cherries and California cherries in the northern hemisphere. In winter (November-March), the main producing areas are New Zealand, Australia, Chile and South Africa in the southern hemisphere. Among them, Chilean cherries have become a new national trend for consumers to buy new year’s goods by virtue of their hard skin, sweet taste and transportation resistance.

  English expressions about "cherry":

  A bunch of cherries

  A bite at the cherry tried; chance

  He offers me this position to be the COO, I think it’s a bite at the
cherry.

  He offered me the position of chief operating officer, which I think is an opportunity.

  The cherry on the cake is the icing on the cake

  The function of the camera itself is a beast, so the design is the cherry
on the cake.

  The performance of this camera itself is superb, and the beautiful design is even more icing on the cake.

  The cherry on (the) top windfall

  Cherry-pick means "choose carefully and choose the best"

  Example:

  It seems unfair that our school has cherry-picked the best students to
attend the conference – we should all have a chance to go.

  Our school is a bit unfair. We should all have a chance to attend the meeting by picking out those good students.

  How to express the "freedom of cherries" mentioned in the hot search? If you say in English: He has reached cherry freedom.
Foreigners can’t understand you at all. Let’s use "Financial freedom" to express it. We can say: He has reached financial.
freedom.

  Many netizens will ask, "Why are the prices of cherries so different? Some are 30-40 yuan/kg, while others are more than 100/kg?" This involves the problem of cherry grade. In countries in the southern hemisphere such as Chile, J"(Jumbo "is often used to grade cherries. The more numbers of "j", the larger the diameter and size of cherries. The taste and price of cherries vary greatly with different grades.

  Commonly used standards are:

  The diameter of single fruit is 22mm-24mm, and the logo is L(Large);

  The diameter of single fruit is 24mm-26mm, and the logo is XL(Extra Large);

  Single fruit with a diameter of 26-28mm is commonly known as single hook, and the logo is J(Jumbo);

  A single fruit with a diameter of 28-30mm is called a double hook and marked as XJS JJJJ (Super Jumbo);

  A single fruit with a diameter of 30-32mm is called 3 hooks, and its logo is GPXSJSXJXXJSSJ (Giant);

  If the diameter of a single fruit is more than 32mm, it is called 4 hooks, and the logo is XGSGXPSPXXXJXXSJ.

  G=giant huge; P=premium;

  S=super super; X=extra, more;

  J=jumbo is larger; L=large

  Jumbo adjective, meaning "giant; Huge; Extra large "(very large; larger than usual )。 For example:

  a jumbo pack of cornflakes

  A box of extra-large packed cornflakes

Cadillac’s new SUV will be launched on November 25th. It is estimated that it will start at 240,000.

  According to the plan, Cadillac will launch an entry-level luxury SUV with the internal code name "E2QL". Judging from the EIA information, it is expected to be positioned as a compact coupe SUV. Not long ago, the patent drawing of Cadillac GT4 with cross-border modeling was exposed. The characteristics of this car are basically consistent with E2QL, and it should be the same model. The online auto market learned that Cadillac E2QL will make its debut on November 25th.

  E2QL and Buick Angkor S are both built on the existing E2 platform, with overall dimensions between Cadillac XT4 and Angkor S, providing 1.5T and 2.0T power, and will compete with Audi Q3 coupe, Mercedes-Benz GLA and BMW X2 in the future. Considering the positioning of E2QL is lower than XT4, and referring to the price difference between SUV models and competing products, it is estimated that the starting price of new cars may be around 240,000 yuan.

  Cadillac GT4 adopts the latest family design, and the interior is expected to be equipped with a 34-inch central control screen of Cadillac’s new generation entertainment system, which is expected to use the same screen as Cadillac LYRIQ(33-inch). The new roof version is expected to provide electric 8-way adjustment of the main and co-pilot seats, 4-way lumbar support and heating and ventilation functions.

  Cadillac E2QL is equipped with GM’s latest 1.5T and 2.0T engines. The 1.5T engine is the same as Buick Weilang Pro, and the 2.0T engine has the same 48V light mixing system as Angkewei S, and the transmission system is matched with 9AT gearbox. The new car 1.5T is a front-wheel drive model, and 2.0T is a four-wheel drive model. The acceleration of 100 kilometers is 8.9 seconds and 8.2 seconds respectively.

7 The paper & Radios | Lecun world model is the first attempt; Meta open source text music generation model

The Heart of the Machine & ArXiv Weekly

Participation: Chu Hang, Luo Ruotian, Mei Hongyuan

This week’s important papers include the first research on the world model of Yann LeCun, a Turing Prize winner, and MusicGen, a Meta open source text-generated music model.

Directory:

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Disentangling Writer and Character Styles for Handwriting Generation

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models

Reverse Engineering Self-Supervised Learning

VideoComposer: Compositional Video Synthesis with Motion Controllability

Simple and Controllable Music Generation

Arxiv Weekly Radio Station: More Selected Papers of NLP, CV and ML (with Audio)

Paper 1: self-supervised learning from images with a joint-embedding predictive architecture

Authors: Mahmoud Assran et al.

Paper link: https://arxiv.org/pdf/2301.08243.pdf

Abstract: Let AI learn and reason like human beings, which is an important step for artificial intelligence to move towards human intelligence. Yann LeCun, winner of Turing Prize, once proposed a solution of self-monitoring and world model, and now he finally has the first real visual model-I-JEPA. As shown in the following figure, I-JEPA uses a single context block to predict the representations of various target blocks originating from the same image.

Recommendation: The first study of LeCun world model is coming: self-monitoring vision, learning and reasoning like human beings, which is open source.

Paper 2: Adversarial example does good: preventing painting from different models via Adversarial examples.

Authors: Chumeng Liang et al

Paper link: https://arxiv.org/abs/2302.04578

This paper introduces a paper included in ICML 2023 Oral, which was jointly completed by the Shanghai Key Laboratory of Scalable Computing and Systems, new york University and Queen’s University of Belfast. The joint works of this thesis are Liang Chumeng, who is about to study for a doctorate at the University of Southern California, and Wu Xiaoyu, a graduate student at Shanghai Jiaotong University.

Recommendation: quietly add pixel-level watermark to the picture: the method to prevent AI from "copying" works of art has been found.

Paper 3: Disentangling Writer and Character Styles for Writing Generation

Authors: Gang Dai et al.

Paper link: https://arxiv.org/abs/2303.14736

In this paper, researchers from South China University of Technology, National University of Singapore, Hong Kong Polytechnic University and Pazhou Laboratory jointly put forward an interesting handwritten character generation method, which can copy the user’s writing style only by providing a few reference samples, and then generate arbitrary characters that conform to this style.

Recommendation: AI, which can imitate handwriting, creates a unique font for you and is selected as CVPR 2023.

Paper 4: Instructive Eval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models

Authors: Yew Ken Chia et al.

Paper link: https://arxiv.org/abs/2306.04757

Abstract: Over the years, what is the performance of instruction tuning large language model? This study puts forward a brand-new evaluation suite, which comprehensively evaluates them in solving problems, writing and aligning human values, and the results may exceed your expectations. The researchers provide an overall overview of the open source instruction model in Table 3 below.

Recommendation: for four years, the basic open source model has not really improved, and the evaluation of the instruction tuning model is amazing.

Paper 5: reverse engineering self-supervised learning

Authors: Ido Ben-Shaul et al.

Paper link: https://arxiv.org/abs/2305.15614v2

Self-supervised learning can use the unsupervised data of auxiliary tasks to mine its own supervision information, and train the network through this constructed supervision information, so as to learn valuable representations for downstream tasks. Recently, many researchers, including Yann LeCun, winner of Turing Prize, published a study, claiming that self-supervised learning was reverse-engineered, so that we could understand the internal behavior of its training process.

In order to intuitively understand SSL training, Figure 1 below shows the embedding space of training samples of the network through UMAP visualization, which includes the situation before and after training and is divided into different levels.

Recommendation: New research achievement of Yann LeCun team: For self-supervised learning reverse engineering, the original clustering is realized in this way.

Paper 6: video composer: comprehensive video synthesis with motion controllability

Authors: Xiang Wang et al

Paper link: https://arxiv.org/abs/2306.02018

Abstract: In the field of AI painting, Composer proposed by Ali and ControlNet proposed by Stanford led the theoretical development of controllable image generation. However, the exploration of controllable video generation in the industry is still in a relatively blank state. Compared with image generation, controllable video is more complicated, because besides the spatial controllability of video content, it also needs to meet the controllability of time dimension. Based on this, the research teams of Alibaba and Ant Group took the lead in making an attempt and put forward VideoComposer, which realizes the controllability of video in both time and space through combined generation paradigm.

In this study, the performance of VideoComposer is directly tested on nine different classic tasks, and satisfactory results are obtained, which proves the universality of VideoComposer.

Recommendation: Video generation with controllable time and space has come into reality, and the new work VideoComposer of Ali’s big model is on fire.

Paper 7: simple and controllable music generation

Authors: Jade Copet et al.

Paper link: https://arxiv.org/pdf/2306.05284.pdf

Abstract: At the beginning of the year, Google launched MusicLM, a big model of music generation, and the effect was very good. Some people say that this is more important than the ChatGPT of the fire, which almost solves the problem of music generation. Recently, Meta also launched its own text music generation model, MusicGen, which is free for non-commercial use.

Enter the first two sentences in the lyrics of Jay Chou’s "Qi Li Xiang" as follows: "The sparrow outside the window talks on the telephone pole, and you say this sentence is very summer-like" (in Chinese).

Recommendation: Meta open source text generates a big music model, and we tried it with the lyrics of Qilixiang.

ArXiv Weekly Radiostation

Machine Heart, together with ArXiv Weekly Radiostation initiated by Chu Hang, Luo Ruotian and Mei Hongyuan, selected more important papers this week, including 10 selected papers in NLP, CV and ML fields, and provided an audio abstract introduction. Details are as follows:

The 10 NLP selected papers this week are:

1. Can Large Language Models Infer Causation from Correlation? . (from Bernhard Sch?lkopf)

2. Developing Speech Processing Pipelines for Police Accountability. (from Dan Jurafsky)

3. SqueezeLLM: Dense-and-Sparse Quantization. (from Michael W. Mahoney, Kurt Keutzer)

4. Morphosyntactic probing of multilingual BERT models. (from Noah A. Smith)

5. ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery. (from Kai-Wei Chang, Majid Sarrafzadeh)

6. Language models are not naysayers: An analysis of language models on negation benchmarks. (from Timothy Baldwin)

7. Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation. (from Jingbo Zhu)

8. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. (from Rui Xu)

9. Word sense extension. (from Lei Yu)

10. Instruction Tuned Models are Quick Learners. (from Chitta Baral)

The top 10 CV selected papers this week are:

1. Multi-Modal Classifiers for Open-Vocabulary Object Detection. (from Andrew Zisserman)

2. AVIS: Autonomous Visual Information Seeking with Large Language Models. (from Kai-Wei Chang, Cordelia Schmid)

3. SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. (from Rama Chellappa, Xinbo Gao)

4. Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions. (from Leonidas Guibas)

5. Adding 3D Geometry Control to Diffusion Models. (from Alan Yuille)

6. Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation. (from Alan Yuille)

7. Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training. (from Kevin Bowyer)

8. Instant Multi-View Head Capture through Learnable Registration. (from Michael J. Black)

9. FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow. (from Xiaogang Wang)

10. MOFI: Learning Image Representations from Noisy Entity Annotated Images. (from Jon Shlens)

The 10 ML selected papers this week are:

1. A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks. (from Witold Pedrycz)

2. Inductive Linear Probing for Few-shot Node Classification. (from Huan Liu)

3. Virtual Node Tuning for Few-shot Node Classification. (from Huan Liu)

4. Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization. (from Dacheng Tao)

5. Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. (from Johan A. K. Suykens)

6. Variational Positive-incentive Noise: How Noise Benefits Models. (from Xuelong Li)

7. Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings. (from Joydeep Ghosh)

8. One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning. (from Eric Xing)

9. Identification of Nonlinear Latent Hierarchical Models. (from Eric Xing)

10. Composing Efficient, Robust Tests for Policy Selection. (from Peter Stone)

? THE END

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Original title: "7 Papers & Radios | LeCun World Model is the first attempt; Meta open source text music generation model "

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Intelligence R7 Huawei Tuling internal test exposure: performance is incredible!

[ITBEAR] September 23rd news, Huawei Turing platform closed test video recently exposed, revealing the excellent performance of Hongmeng Zhixing’s first coupe SUV in a mild off-road environment. The video not only shows the Tuling platform’s ability to deal with complex terrain, but also highlights its excellent comfort and handling.

In the design of the R7, the powerful strength of Huawei technology is fully reflected. Not only has the chassis hardware been carefully crafted, but the synergy between the software and hardware is even more remarkable. This all-round technology integration makes the Smart World R7 perform well in dealing with various road conditions.

According to ITBEAR, the iVSE intelligent vehicle condition sensing system equipped with the Smart World R7 is another highlight of its off-road performance. The system can estimate the vehicle status in real time and accurately identify the road conditions through multiple sets of sensors on the vehicle. On muddy or slippery roads, the iVSE system can intelligently identify the risk of skidding and pre-distribute the torque of the front and rear axles, thus effectively reducing the phenomenon of skidding and ensuring driving safety.

In addition, the Smart R7 also adopts a tight waterproof body design, with a maximum wading depth of 550mm. At the same time, in the body part below the wading line, the Smart R7 has a reinforced sealing design to ensure that there will be no short circuit, failure or thermal runaway during the wading process.

After Hongmeng Zhixing’s new product launch, the pre-sale of the Zhijie R7 was very popular. It is reported that within 24 hours of the pre-sale, the number of orders exceeded 10,000 units. This achievement undoubtedly proves the high expectations of the Zhijie R7 in the second half of the model market.

With the approaching of Huawei’s autumn full-scene new product launch on September 24, the official release of the Smart R7 has also attracted much attention. At that time, we are expected to learn more details about this model. I believe Huawei will bring us more surprises.

#Huawei ##Zhijie R7 ##Tuling Platform ##Off-road Performance ##Hongmeng Zhixing #

Source: http://www.itbear.com.cn/html/2024-09/515864.html

The magic car is coming! BYD Qin Pro is officially listed, starting at 79,800 yuan …

Do you still remember BYD Qin, the cosmic magic car? The one with a particularly fast acceleration time of 0-100km/h! BYD Qin Pro, the replacement model of BYD Qin, was officially launched.Among them, the price range of fuel version is 798-115,800 yuan, the price range of DM plug-in hybrid version after subsidy is 149,900-176,900 yuan, and the price range of DM developer version after subsidy is 176,900-206,900 yuan; The subsidized price range of EV pure electric version is 169,900-189,900 yuan, and the subsidized price range of EV500 developer version is 189,900-29,900 yuan.


Dragon Face’s front face is highly recognizable


In terms of appearance, the new car can’t find any shadow about the previous generation. For the application of Dragon Face’s front face, it can be said that it is the finishing touch of the new car. This design has appeared in Song MAX, a new generation of Tang, a new generation of Song and Yuan EV360, which fully shows the confidence behind the designer and the recognition of consumers.

Headlights can be said to be the strength of new cars. Mr. Iger, who used to be a "lamp factory", is now the design director of BYD. Naturally, the headlights of BYD Qin Pro are also quite designed. The headlights of the new car use full LED light source, which is very scientific and technological, and is provided by Hella, the top supplier in the industry. This equipment shows BYD’s full sincerity.

Coming to the side of the car body, the new car adopts the design of sliding back, and the whole looks very smooth. In terms of body size, the length, width and height of the new car are 4765*1837*1495/1500/1515mm respectively, and the wheelbase is 2718mm. Overall, it has been improved compared with the previous generation, and the space inside the car should have a good performance.

The rear of the car is the most recognizable place of the new car, which has changed greatly compared with the previous generation. The taillights also use full LED light source, and adopt two popular designs: flowing dynamic turn signal and left-right running light strip. It can be seen that BYD’s designers must have gone through sufficient market research and applied all the popular designs.

The interior is a matter of opinion.

In terms of interior, the new car adopts the latest family-style design, which is exactly the same as the whole new generation of Tang and Song in the family. The overall style is extremely simple, and it has very rich scientific and technological elements. The oversized central control screen and all-LCD instrument panel create a sense of technology in place.

The aspect ratio of the dashboard of the new car is 16:9. The interface is completely new and concise, and two themes are available. In addition, the 12.8-inch LCD touch screen has a rotatable design with a resolution of 1920×1080. It is equipped with an 8-core CPU, 3G memory and 32G storage space, and it is equipped with BYD’s latest DiLink system.

The space performance is quite satisfactory.

The experiencer is 163cm tall and sits in the front row of the new car and adjusts the seat position to the lowest. At this time, the remaining space in the head is one punch and three fingers.

Keeping the position of the front seat unchanged, the same experiencer came to the back of the new car. At this time, the remaining space in the head was one punch and two fingers, and the remaining space in the legs was far more than two punches, and the space performance was excellent.

It is worth mentioning that there is almost no bulge in the rear central passage of the new car, which can undoubtedly improve the riding comfort of passengers in the middle position of the rear row.

Excellent dynamic performance

In terms of power, the new car offers a variety of power options, among which the fuel version is equipped with a 1.5L naturally aspirated engine and a 1.5T engine, and the DM plug-in hybrid version is equipped with a plug-in hybrid system consisting of a 1.5T engine and a motor. The maximum power of 1.5L naturally aspirated engine and 1.5T engine are 80kW(108Ps) and 113kW(153Ps) respectively, and the peak torque can reach 145Nm and 240Nm. The power parameters of the 1.5T engine of the DM plug-in hybrid version are consistent with those of the 1.5T engine of the fuel version, in which the maximum power of the motor is 110kW(150Ps) and the peak torque is 250Nm. In addition, the maximum power of EV pure electric vehicle motor is 120kW(Ps), the peak torque is 280Nm, and the cruising range of 60km/h is 500km.

Editor’s comment:BYD Qin, a cosmic wonder car, is believed to be well understood by everyone. It has become famous with its ultra-fast acceleration ability. The appearance of this replacement model has made it have an all-round promotion. As a new energy vehicle of China brand, the pressure it faces can be said to be very great. Only by further enhancing its brand power and product power can it obtain good sales.

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Xiaomi automobile will be released soon? Xiaomi Auto WeChat official account has been registered.

[Mobile Home News] Xiaomi has announced that it has built a car for more than two years, but now Xiaomi’s exposure is increasing, but when it will be released has always been a mystery. With the fierce competition of domestic new energy vehicles, many people think that Xiaomi’s action in building a car is slow, and now it is facing more intense competition. After the ID of Xiaomi Automobile in Weibo was taken back, now Xiaomi Automobile’s WeChat WeChat official account has also been opened, which seems to mean that the release of Xiaomi Automobile is not far away.

At present, we can see that Xiaomi Automobile WeChat official account has been able to pay attention to it. The registration time is September 21 this year, and the registered subject is Xiaomi Automobile Technology Co., Ltd., and the registered place is Guangxi. However, at present, Xiaomi car can not be searched by name, but only by micro-signal.

It seems that Xiaomi car is really not far from the release, but Xiaomi car has already made new moves before it is released. Recently, it has been reported that several auto-related positions have been quietly launched on Xiaomi’s recruitment page in official website, and these positions are all related to extended-range cars. Mainly concentrated in the design and development engineer of extended range system, fuel system engineer, engine mounting bushing engineer and so on. This means that in addition to the pure electric version, Xiaomi Automobile may also launch a hybrid version, but it is not clear whether the hybrid mode is extended or mixed.

At present, the pure electric version of Xiaomi Automobile is a car, the model code is MS 11, which will use a 101-degree battery pack and support 800V high-voltage fast charging technology. The car will use Qualcomm 8295 chip and support Apple CarPlay, and the appearance will adopt a slip-back design, which is positioned in the middle and high end. The price range of the product will be 100,000-300,000 yuan.