海南凌峰机电科技有限公司

  The fundamental difference between intelligent robots and industrial robots is that intelligent robots have the functions of perception, recognition, judgment and planning. Therefore, machine intelligence is divided into two levels: first, it has the functions of feeling, recognition, understanding and judgment; Second, it has the function of summarizing experience and learning.
  The system structure and functions of intelligent robots vary greatly with different applications. Here we will introduce the basic structure and intelligent characteristics of industrial intelligent robots.
  Here we focus on the intelligent perception system, intelligent control system and communication system.
  1. External environment intelligent perception system
  The most significant intelligent feature of industrial intelligent robot is its perception of internal and external. The external environment intelligent sensing system is capable of processing sensing information, realizing control and operation by a series of external sensing information (including vision, hearing, touch, proximity, force and infrared, ultrasound, laser, etc.).
  These sensors include: collision sensor, far infrared sensor, photosensitive sensor, microphone, photoelectric encoder, pyroelectric sensor, ultrasonic sensor, continuous range infrared sensor, digital compass, temperature sensor, etc.
  2. Internal intelligent perception system
  A sensor used to detect the state of the robot itself. It includes real-time monitoring of the position, velocity, acceleration, pressure and trajectory of each coordinate of each moving part of the robot, and monitoring the force, balance, temperature, etc. of each part.
  3. Multi sensor fusion system
  More and more sensors are used in the system. Each sensor has a certain use condition and sensing range, and can also give part or the entire side information of the environment or object. In order to effectively use these sensor information, it is necessary to use some form of sensor information for integration and fusion processing. The processing system of various forms of different types of information is sensor fusion. Sensor fusion technology involves new theories and methods in the fields of information, detection and control, such as neural networks, knowledge engineering, fuzzy theory, etc.
  4. Intelligent control system
  The task of the intelligent control system is to identify, apply different algorithms, analyses, and decisions through the knowledge base and expert system according to the robot's work instruction program and the signals fed back from the external and internal sensors, issue control instructions, and control the robot's executive mechanism to complete the specified movement and functions.
  If the robot does not have the characteristics of information feedback, it is an open loop control system; If it has the characteristics of information feedback, it is a closed loop control system. According to the control principle, it can be divided into program control system, adaptive control system and artificial intelligence control system. According to the form of control motion, it can be divided into point control and continuous trajectory control.
  How to analyze and deal with these information and make correct control decisions needs the support of expert systems. The expert system interprets the data collected from the sensors, derives the robot state description, derives and predicts the possible results from the given state, and diagnoses the possible faults of the system through the evaluation of the running state.
  According to the objectives and constraints of the system design, plan and design a series of actions, monitor the difference between the results obtained and the plan, and propose solutions to the correct operation of the system. The artificial intelligence system is combined with the traditional control method to complete the whole closed-loop control process. A lot of knowledge, rules, algorithms, pattern recognition and other technologies are needed here.
  5. Learning ability of robot
  With the increasing demand for robots, the environment faced by robots is usually unpredictable, and unstructured environment has become the mainstream. In a dynamic and complex environment, if a robot wants to complete complex tasks, its learning ability becomes extremely important.
  In this case, the robot should constantly adjust itself by learning according to the external environment and tasks it faces, and extract useful information in the process of interaction with the environment, so that it can gradually understand and adapt to the environment. Through learning, the intelligent level of the robot can be continuously improved to enable it to cope with some unexpected situations, thus making up for the deficiencies that designers may have in the design process.
  Therefore, learning ability is one of the important capabilities that a robot system should have. It provides an effective guarantee for the robot's environmental understanding, planning, decision-making and other behaviors in a complex and changing environment, thus improving the operating efficiency of the entire robot system.
  6. Ability to access industrial Internet
  Like all intelligent products, intelligent robots will become a terminal of the industrial Internet in the future. Therefore, intelligent robots should have the ability to access the industrial Internet.
  Based on the principle of the information physics fusion system CPS, a communication module is built to integrate with the intelligent control system internally, collect all the running states of the robot, and connect to the Internet externally through the standard field bus and Ethernet card to achieve the integration between robots, robots and logistics systems, and other application systems, and achieve the integration between the physical world and the information world.
  The intelligent IoT system breaks the boundaries between the traditional physical world and the information system, turning data into timely and useful information, and allowing users to fully enjoy various resources in the virtual and real world.