CN-121979048-A - Automatic response control equipment and system based on artificial intelligence

CN121979048ACN 121979048 ACN121979048 ACN 121979048ACN-121979048-A

Abstract

The invention relates to the technical field of automatic control, and particularly discloses automatic response control equipment and a system based on artificial intelligence, wherein the system comprises a data acquisition module, a data calculation module and a control module, wherein the data acquisition module is used for acquiring running state data of a mechanical arm in the process of grabbing parts of an automatic robot, the data calculation module is combined with the running state data of the mechanical arm cleaned in the process of grabbing the parts of the automatic robot, the data can reflect the load condition of the mechanical arm in each grabbing operation process, and on the basis, the load condition of the mechanical arm can reflect the adaptation condition of the mechanical arm to the inertia force generated in grabbing, so that the artificial intelligence can make a decision on whether the grabbing speed of the mechanical arm needs to be adjusted or not based on the data, thereby realizing automatic adjustment of the grabbing speed of the mechanical arm and avoiding the situation that the service life of the mechanical arm is reduced due to the initiation of micro cracks under the high load condition.

Inventors

LUO JIANCHENG
Luo Dishui

Assignees

深圳市夭科科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260123

Claims (10)

1. An artificial intelligence based automated response control system, the system comprising: the data acquisition module is used for acquiring the running state data of the mechanical arm in the process of grabbing the part by the automatic robot; the data cleaning module is used for cleaning the data of the operation state data of the mechanical arm acquired by the data acquisition module based on the artificial intelligence; The data calculation module is used for calculating the mechanical load index of the mechanical arm in each grabbing operation by combining the operation state data of the mechanical arm after cleaning in the process of grabbing the parts by the automatic robot; the load analysis module is used for comparing the mechanical load index of the mechanical arm in each grabbing operation with a preset mechanical load index threshold value, and deciding whether the grabbing speed of the mechanical arm needs to be adjusted according to the comparison result; and the intelligent regulation and control module is used for establishing an algorithm model based on artificial intelligence and mechanical load indexes of the mechanical arm in each grabbing operation when the grabbing speed of the mechanical arm needs to be regulated in a decision making process, and regulating and controlling the grabbing speed of the mechanical arm in the next grabbing operation.
2. The automated response control system of claim 1, wherein the data collected by the data collection module comprises: Joint temperature, noise decibel value, total energy consumption and output power of the mechanical arm in each part grabbing process.
3. The artificial intelligence based automated response control system of claim 1, wherein the cleaning process of the data cleaning module comprises: S1, calculating and obtaining a correlation coefficient between output power and total energy consumption of the mechanical arm after the mechanical arm starts grabbing operation and during any grabbing operation based on an artificial intelligence combined correlation coefficient calculation formula; S2, comparing the correlation coefficient of the output power and the total energy consumption of the mechanical arm during any grabbing operation after the mechanical arm starts the grabbing operation with a preset correlation coefficient, and judging the correlation between the output power and the total energy consumption of the mechanical arm according to the comparison result; and S3, correcting the total energy consumption data of the mechanical arm in any grabbing operation by combining the correlation analysis result between the output power of the mechanical arm and the total energy consumption.
4. The artificial intelligence based automated response control system of claim 3, wherein the computing process in S1 comprises: The method comprises the steps of combining the output power and the total energy consumption of the mechanical arm during each grabbing operation after the mechanical arm starts grabbing operation through artificial intelligence, and calculating and obtaining the correlation coefficient of the output power and the total energy consumption of the mechanical arm during any grabbing operation after the mechanical arm starts grabbing operation based on a correlation coefficient formula.
5. The artificial intelligence based automated response control system of claim 4, wherein the analysis process in S2 comprises: comparing the correlation coefficient of the output power of the mechanical arm and the total energy consumption with a preset correlation coefficient threshold value when the mechanical arm starts the grabbing operation and then performs any grabbing operation; If the correlation coefficient of the output power of the mechanical arm and the total energy consumption is larger than a preset correlation coefficient threshold value when the mechanical arm starts the grabbing operation and any grabbing operation is carried out, the system judges that the output power of the mechanical arm and the total energy consumption are positively correlated; Otherwise, the system judges that the output power of the mechanical arm is not related to the total energy consumption.
6. The artificial intelligence based automated response control system of claim 5, wherein the correction process in S3 comprises: and correcting the total energy consumption data of the mechanical arm in any grabbing operation process by combining the correlation coefficient of the mechanical arm output power and the total energy consumption of the mechanical arm in any grabbing operation after the mechanical arm starts grabbing operation.
7. The automated response control system of claim 6, wherein the computing process of the data computing module comprises: And comprehensively calculating to obtain the mechanical load index of the mechanical arm in any grabbing operation process by combining the total energy consumption data, the temperature change data and the noise decibel value discrete coefficient of the mechanical arm in any grabbing operation process.
8. The artificial intelligence based automated response control system of claim 7, wherein the analysis process of the load analysis module comprises: comparing the mechanical load index in the process of grabbing the mechanical arm at any time with a preset mechanical load index threshold; if the mechanical load index of the mechanical arm in any grabbing operation process is larger than or equal to a preset mechanical load index threshold value, the mechanical load of the mechanical arm is severe, and the grabbing speed of the mechanical arm needs to be reduced; on the contrary, the system judges that the mechanical load of the mechanical arm is slight, and the grabbing speed of the mechanical arm is not required to be reduced.
9. The automated response control system based on artificial intelligence of claim 8, wherein the regulating process of the intelligent regulation module comprises: When the mechanical load in the process of any grabbing operation of the mechanical arm is judged to be serious; The mechanical load index in the process of any grabbing operation of the mechanical arm and the grabbing speed preset in the same grabbing operation are combined through artificial intelligence, and the grabbing speed of the mechanical arm after adjustment in the next grabbing operation is obtained through calculation.
10. The automatic response control device based on artificial intelligence is suitable for the device based on the automatic response control device of any of the claims 1-9, and is characterized in that the device comprises an automatic robot, and a data acquisition module, a data cleaning module, a data calculation module, a load analysis module and an intelligent regulation module are arranged in the automatic robot.

Description

Automatic response control equipment and system based on artificial intelligence Technical Field The invention relates to the technical field of automatic control, in particular to automatic response control equipment and system based on artificial intelligence. Background An automatic response control system based on artificial intelligence is an advanced system integrating artificial intelligence theory and automatic control technology, is commonly used in the field of industrial robot control, and aims to simulate human intelligence to realize autonomous decision making and response optimization and dynamically adjust control strategies in a complex environment. The automatic robot is used as important equipment in industrial production and is usually used for clamping materials for screening and classifying operations, on the basis, in order to ensure long-term use of the automatic robot, a traditional automatic response control system can combine physical data of the materials such as weight and volume before clamping the materials, and the like, so that a proper clamping speed is set for the mechanical arm, the materials can be ensured to be clamped rapidly, and the condition that the service life of the mechanical arm is influenced due to overlarge inertial impact force caused by the fact that the clamping speed is too high can be avoided, thereby ensuring the production efficiency. In the prior art, the traditional automatic response control system sets a proper clamping speed for the mechanical arm by combining physical data such as weight and volume of materials, but fatigue phenomenon can occur after the mechanical arm is used for a long time, namely the load of the mechanical arm is increased, the adaptability of the mechanical arm to inertia force generated during grabbing can be gradually reduced, and on the basis, if the clamping speed is not timely adjusted, micro cracks can be generated on the mechanical arm, and the service life of the mechanical arm is greatly reduced. Disclosure of Invention The invention aims to provide automatic response control equipment and system based on artificial intelligence, which solve the following technical problems: how to dynamically adjust the clamping speed of the mechanical arm so as to prolong the service life of the mechanical arm. The aim of the invention can be achieved by the following technical scheme: an automated response control device and system based on artificial intelligence, the system comprising: the data acquisition module is used for acquiring the running state data of the mechanical arm in the process of grabbing the part by the automatic robot; the data cleaning module is used for cleaning the data of the operation state data of the mechanical arm acquired by the data acquisition module based on the artificial intelligence; The data calculation module is used for calculating the mechanical load index of the mechanical arm in each grabbing operation by combining the operation state data of the mechanical arm after cleaning in the process of grabbing the parts by the automatic robot; the load analysis module is used for comparing the mechanical load index of the mechanical arm in each grabbing operation with a preset mechanical load index threshold value, and deciding whether the grabbing speed of the mechanical arm needs to be adjusted according to the comparison result; and the intelligent regulation and control module is used for establishing an algorithm model based on artificial intelligence and mechanical load indexes of the mechanical arm in each grabbing operation when the grabbing speed of the mechanical arm needs to be regulated in a decision making process, and regulating and controlling the grabbing speed of the mechanical arm in the next grabbing operation. Further, the data collected by the data collection module includes: Joint temperature, noise decibel value, total energy consumption and output power of the mechanical arm in each part grabbing process. Further, the cleaning process of the data cleaning module includes: S1, calculating and obtaining a correlation coefficient between output power and total energy consumption of the mechanical arm after the mechanical arm starts grabbing operation and during any grabbing operation based on an artificial intelligence combined correlation coefficient calculation formula; S2, comparing the correlation coefficient of the output power and the total energy consumption of the mechanical arm during any grabbing operation after the mechanical arm starts the grabbing operation with a preset correlation coefficient, and judging the correlation between the output power and the total energy consumption of the mechanical arm according to the comparison result; and S3, correcting the total energy consumption data of the mechanical arm in any grabbing operation by combining the correlation analysis result between the output power of the mechanical arm and the total energy consumption. Fur