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Artificial intelligence is a branch of computer science that seeks to understand the nature of intelligence and produce a new type of intelligent machine that can react in a manner similar to human intelligence. Research in this field includes robotics, speech recognition, image recognition, natural language processing, and expert systems. Since the birth of artificial intelligence, the theory and technology are increasingly mature, and the application field is also expanding. It can be imagined that the future scientific and technological products brought by artificial intelligence will be the "container" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like a human and possibly exceed human intelligence.
Artificial intelligence is a challenging science, and those who do it must have knowledge of computers, psychology and philosophy. Artificial intelligence is a very broad science, which consists of different fields, such as machine learning, computer vision and so on. In general, one of the main goals of artificial intelligence research is to enable machines to perform some complex tasks that normally require human intelligence. However, different generations and different people have different understandings of this "complex work". [1] In December 2017, artificial intelligence was selected as one of the top ten Buzzwords of Chinese media in 2017
Traditional machining methods (ordinary machining) are the same as precision and ultra-precision machining methods. With the adoption of new technology, new technology, new equipment and new testing technology and instruments, its machining accuracy is constantly improving.
The continuous improvement of machining accuracy reflects the development trend of material segmentation from macro to micro world. As time goes on, machining accuracy that was previously thought difficult to achieve becomes relatively easy. Therefore, ordinary machining, precision machining and ultra-precision machining are only relative concepts. The boundaries have changed over time. The typical representative of precision cutting and ultra-precision machining is diamond cutting.
Take diamond cutting as an example. The radius of the blade edge arc has been developing to a smaller direction. Because its size directly affects the roughness of the processed surface, and the reflectivity of the optical mirror is directly related to the reflectivity of the instrument and equipment requirements are higher and higher. For example, the reflectivity of laser gyro mirror has been proposed to achieve 99.99%, which inevitably requires a sharper diamond tool. In order to carry out the cutting thin test, the aim is to achieve the chip thickness of nm, and the radius of the cutting edge arc should approach 2.4nm. In order to achieve this height, the diamond grinder has changed the traditional structure. The spindle bearing is supported by air bearing, and the end runout of the grinding disc can be corrected by itself on the machine, so that the end runout can be controlled below 0.5μm.
In terms of cutting tools, diamond grinding wheel is used to control the amount of backdraft and feed. In ultra-precision grinding machine, ductile grinding, namely nano grinding, can be carried out. Optical mirrors can be obtained even on the surface of glass. 2 precision processing and ultra-precision processing from the perspective of long-term development, the development trend of manufacturing technology is the current world development the main direction and strategy of the national economy, is one of the important means of a national economic development, is also a national independence, prosperity and economic steady development, science and technology leading the long-term strategy. The development of science and technology also put forward higher requirements for precision machining and ultra-precision machining technology. From large telescope lens to small large-scale integrated electrical route width μm micro engineering and micro mechanical micro and nano size parts, regardless of the size of the volume, the highest dimensional accuracy is close to nano; The shape of parts is also increasingly complicated, various aspheric surface has become a very typical geometric shape at present. Micromechanical technology brings a new dimension to ultra-precision manufacturing. Its fineness makes the traditional manufacturing technology face a new challenge, promotes the improvement of the technical performance of various products, the development process presents a spiral cycle development, directly contributes to the progress of science and technology and human civilization. The pursuit of high quality, miniaturization, high reliability and high performance of products has led to the rapid development of ultra-precision machining technology, which has become an important part of modern manufacturing industry
High and low temperature test chamber is generally placed in the laboratory to identify the high and low temperature resistance of products. With the development of various industries, the performance of products is becoming increasingly strict. Thus driving the range of application of high and low temperature test chamber, from the initial various machinery industry, scientific research institutions have gradually extended to more fields. Nowadays, many users have placed the high and low temperature test box in the office building, so there is a problem. Office elevator, office door equipment can go in?
The general standard is difficult to enter the office office. In order to meet the requirements of customers. High and low temperature test box manufacturers can be made of split type. 1. Put the controller of the test box on the top, and the width of the test box can be reduced by about 20 cm. 2. Separate the test chamber studio from the refrigeration system, and the height can be reduced by half of the total height of equipment.
Therefore, users in the selection of high and low temperature test box in addition to consider the test, also need to consider the placement of the test box site. If the size of the door and elevator is not enough, whether the doors and Windows can be dismantled and whether lifting can be used. If not, it should be based on the test, door size to choose suitable volume of the test box to make it left or right or up and down the high and low temperature test box. These need users and manufacturers to communicate in detail to determine.
Behind the corporate fraud, there are local environmental protection departments "turn a blind eye" inaction, and even take the initiative to fake to show political achievements in pollution control. What has been destroyed is not only a few monitoring technicians and a few environmental monitoring stationmasters, but also the foundation of national environmental monitoring data and the credibility of environmental protection departments.
Environmental monitoring data is the decision-making basis of environmental governance. If the source of water injection is falsified, the decision-making is bound to deviation, delay the timing of environmental governance, and damage the public interest.
Starting from January 1, 2016, the Ministry of Environmental Protection implemented the Measures for determination and Handling of Falsification of Environmental Monitoring Data. According to the measures, the Ministry of Environmental Protection will spend the next two years to carry out special inspections to crack down on the falsification of local environmental monitoring data, especially air quality data. More severe stick to fake enterprises, local environmental protection departments and local governments, deserve praise.
In general, the central and local governments have invested a lot in environmental monitoring. The online monitoring network has already used more than 10 billion yuan and is theoretically capable of monitoring tens of thousands of pollution sources. Among them, 436 million yuan was invested in the air monitoring system alone. In 2014, China built the largest air quality monitoring network in developing countries. It is in this context that some local governments fabricate and tamper with monitoring data in order to reduce the pressure of assessment. The central leadership has repeatedly issued instructions to crack down on the falsification of environmental data and hold the false figures to account.
Environmental monitoring data has been elevated to a legal level, with higher binding force. The new law clearly stipulates that monitoring agencies should use monitoring equipment that meets national standards, abide by monitoring norms, be responsible for the authenticity and accuracy of monitoring data, and punish and hold accountable those who tamper with, forge or instigated the tampering or forgery of monitoring data. In the second half of 2015, environmental protection authorities at all levels identified eight typical cases of illegal activities, which were all handed over to public security organs and 10 responsible persons were punished by criminal or administrative detention.
The reason why enterprises can resort to fraud shows that there are loopholes in the environmental protection online automatic monitoring network. I understand that some companies have bought counterfeit equipment to try to get away with it, leaving room for data falsification and manipulation. This loophole is also related to the fact that environmental monitoring data released by some local governments are inconsistent with the intuitive feelings of citizens, sometimes even greatly contrasting.
For years, it has been an open secret that some local environmental monitoring data were falsified. As in recent years, some of the sewage into the desert, or into the river, are knowingly illegal. In my opinion, behind these enterprises fake behavior, there are local environmental protection departments "turn a blind eye" inaction, and even do not rule out the initiative to cooperate with the fake to show political achievements in pollution control. This practice has not only destroyed the monitoring technicians and environmental monitoring stationmasters, but also shaken the foundation of national environmental monitoring data and destroyed the credibility of environmental protection departments.
In the drilling operation of oil field or gas field, it is very difficult and costly to lay cable on the well because of the remote location, bad weather environment, poor construction conditions, and the frequent moving of the well. As a result, wireless communication has emerged as an alternative to cable transmission. It is in this environment that The latest wireless communication developed by Dekang comes into being. As the sole general agent of Dekang China, Ritter electronics specializes in providing the latest high-tech gas detection wireless communication system of Dekang. The modular structure of this product is specially developed for oil fields and oil Wells. It can be equipped with low-power gas detectors, solar power supplies, high-energy batteries, controllers for various channels, and sound and light alarms. All of these products use wireless communication, and are explosion-proof products, which are most suitable for drilling and oil field applications.
Artificial intelligence is a branch of computer science that seeks to understand the nature of intelligence and produce a new type of intelligent machine that can react in a manner similar to human intelligence. Research in this field includes robotics, speech recognition, image recognition, natural language processing, and expert systems. Since the birth of artificial intelligence, the theory and technology are increasingly mature, and the application field is also expanding. It can be imagined that the future scientific and technological products brought by artificial intelligence will be the "container" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like a human and possibly exceed human intelligence.
Artificial intelligence is a challenging science, and those who do it must have knowledge of computers, psychology and philosophy. Artificial intelligence is a very broad science, which consists of different fields, such as machine learning, computer vision and so on. In general, one of the main goals of artificial intelligence research is to enable machines to perform some complex tasks that normally require human intelligence. However, different generations and different people have different understandings of this "complex work". [1] In December 2017, artificial intelligence was selected as one of the top ten Buzzwords of Chinese media in 2017
With the implementation of a series of national key engineering projects, the instrument industry is increasingly valued and supported by the government. This will make the instrument industry market investment value increasingly prominent. But for the past year, there have been a lot of big things in the instrumentation world. The CCTV host paid his own money to study PM2.5, and the data was questioned. "Water ten" began to come out; Overseas acquisition of domestic instrument companies; A dark matter probe satellite developed by Chinese scientists was launched. Laboratory safety is very important, fire monitor is essential; Instrument related meetings are held frequently and so on, and I will take you to sum up.
The data released by CCTV host Chai Jing under the Dome has been questioned, and the reliability of relevant testing equipment and data is imminent
In March, former CCTV anchor Chai Jing released an in-depth public welfare survey called chai Jings Smog Survey: Under the Dome. Chai Jing used a large number of data and materials to support her conclusion in this video. A users doctoral thesis on Zhihu happened to have something to do with Emission. She felt that there was something wrong with it. The first is the deliberate confusion of smog and PM2. 5. The second is the lack of samplers test range and sensitivity data, air humidity and wind direction conditions, samplers flow data, as well as the background and time of changing data caliber to form misleading impression and tampering with data. After the report came out, netizens cried out: Let professional people do professional things!
Next is the air purifier developed by Xiaomi company data fraud, a variety of environmental testing instruments are not precise enough, monitoring data fraud and other problems. In the second half of 2015, environmental protection authorities at all levels identified eight typical cases of illegal activities, which were all handed over to public security organs and 10 responsible persons were punished by criminal or administrative detention. Starting from January 1, 2016, the Ministry of Environmental Protection implemented the Measures for determination and Handling of Falsification of Environmental Monitoring Data. According to the measures, the Ministry of Environmental Protection will spend the next two years to carry out special inspections to crack down on the falsification of local environmental monitoring data, especially air quality data. More severe stick to fake enterprises, local environmental protection departments and local governments, deserve praise.