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CN-121994038-A - AIPFIMS intelligent monitoring system for plasma furnace

CN121994038ACN 121994038 ACN121994038 ACN 121994038ACN-121994038-A

Abstract

The invention discloses a AIPFIMS intelligent monitoring system of a plasma furnace, which comprises a first step of configuring a corresponding sensor, a second step of analyzing and processing data, a third step of remotely monitoring and controlling, a fourth step of intelligent early warning and alarming, and a fifth step of automatically adjusting and optimizing. The data processing module can also perform trend analysis and prediction according to historical data and real-time data, and is beneficial to predicting the performance change and possible faults of the plasma furnace in advance.

Inventors

  • Zhao Meisen
  • Dai Changmeng
  • GAO MINGXING

Assignees

  • 郑州勒普特生态科技有限公司

Dates

Publication Date
20260508
Application Date
20241104

Claims (5)

  1. An AIPFIMS plasma furnace intelligent monitoring system comprises a first step of configuring a corresponding sensor, a second step of analyzing and processing data, a third step of remote monitoring and controlling, a fourth step of intelligent early warning and alarming, a fifth step of automatic regulation and optimization, and is characterized in that, The system is provided with a plurality of sensors, such as a temperature sensor, a pressure sensor, a gas sensor and the like, and is used for monitoring parameters of temperature, pressure, gas content and the like in the furnace in real time; the data collected by the sensor is transmitted to a data processing module through a high-speed data transmission interface, and after algorithm processing, the system can analyze the state in the furnace in real time and generate a corresponding data report; The system is connected with a remote monitoring platform through the Internet or a local area network, and a user can check the state in the furnace in real time through a computer or a mobile phone APP and remotely control equipment; Step four, when the parameters in the furnace exceed the preset safety range, the system automatically sends out an early warning or alarm signal to remind operators to take measures in time so as to avoid safety accidents; And fifthly, according to the change of parameters such as temperature, pressure, gas content and the like in the furnace, the system can automatically adjust key parameters such as plasma power, air inflow and the like, so as to realize optimization of the process in the furnace.
  2. 2. The AIPFIMS plasma furnace intelligent monitoring system according to claim 1, wherein the temperature sensor in the first step can sensitively sense the temperature change in the furnace and transmit the data to the system in real time, the pressure sensor can accurately measure the pressure condition in the furnace to ensure the control of the pressure of the system, and the gas sensor is responsible for monitoring the content of various gases in the furnace to provide key gas information for the system.
  3. 3. The intelligent AIPFIMS plasma furnace monitoring system according to claim 1, wherein the data processing module in the second step is responsible for further analyzing and processing the received data, uses advanced algorithms and models to screen, integrate and calculate the data, extracts valuable information from the data, and through processing the data, the data processing module can realize real-time monitoring and evaluation of the running state of the plasma furnace, can timely find potential problems and abnormal conditions and send out early warning signals so that operators can take corresponding measures to adjust and optimize, and the data processing module can also conduct trend analysis and prediction according to historical data and real-time data, thereby being beneficial to predicting the performance change and possible faults of the plasma furnace in advance.
  4. 4. The intelligent AIPFIMS plasma furnace monitoring system according to claim 1, wherein various data in the plasma furnace in the third step are transmitted to a remote monitoring platform in real time. The user only needs to open computer or cell phone APP, can acquire the detailed information in the stove at any time and any place, key parameters such as temperature, pressure, gas flow in the stove, the change condition of material in the stove still can all clearly appear in the user's eyes, the staff can in time know the running situation in the stove to can take measures rapidly when the abnormality appears, avoid the further deterioration of problem, and secondly the user can carry out accurate control and adjustment to the production process according to the real-time data of state in the stove, thereby improves production efficiency and product quality.
  5. 5. The intelligent AIPFIMS plasma furnace monitoring system according to claim 1, wherein in the fourth step, when the parameters in the furnace exceed the preset safety range, the system immediately and automatically sends out early warning or alarm signals so as to prompt operators to take corresponding measures, temperature, pressure, gas flow and the like in the system, and compare and analyze the data with the preset safety range, the abnormal parameter system is found to react rapidly, and sends out early warning or alarm signals, so that operators can know the conditions in the furnace in time, take effective measures to avoid potential safety risks, accurately monitor the parameters in the furnace based on advanced sensor technology and data analysis algorithm, and find abnormal conditions in time.

Description

AIPFIMS intelligent monitoring system for plasma furnace Technical Field The invention relates to the technical field of plasma furnaces, in particular to a AIPFIMS intelligent monitoring system for a plasma furnace. Background The plasma furnace is a heat treatment device widely applied to industrial production, and is mainly used for smelting, forging, welding and other processes of metal materials. However, the traditional plasma furnace lacks an effective intelligent monitoring system, and key parameters such as temperature, pressure, gas content and the like in the furnace cannot be monitored in real time, so that potential safety hazards and low efficiency are brought to the production process, and therefore the AIPFIMS intelligent monitoring system for the plasma furnace is provided. Disclosure of Invention The invention aims to provide AIPFIMS intelligent monitoring system for plasma furnaces, which aims to solve the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: The AIPFIMS intelligent monitoring system of the plasma furnace comprises a first step of configuring a corresponding sensor, a second step of analyzing and processing data, a third step of remotely monitoring and controlling, a fourth step of intelligent early warning and alarming, a fifth step of automatically adjusting and optimizing; The system is provided with a plurality of sensors, such as a temperature sensor, a pressure sensor, a gas sensor and the like, and is used for monitoring parameters of temperature, pressure, gas content and the like in the furnace in real time; the data collected by the sensor is transmitted to a data processing module through a high-speed data transmission interface, and after algorithm processing, the system can analyze the state in the furnace in real time and generate a corresponding data report; The system is connected with a remote monitoring platform through the Internet or a local area network, and a user can check the state in the furnace in real time through a computer or a mobile phone APP and remotely control equipment; Step four, when the parameters in the furnace exceed the preset safety range, the system automatically sends out an early warning or alarm signal to remind operators to take measures in time so as to avoid safety accidents; And fifthly, according to the change of parameters such as temperature, pressure, gas content and the like in the furnace, the system can automatically adjust key parameters such as plasma power, air inflow and the like, so as to realize optimization of the process in the furnace. Preferably, the temperature sensor in the first step can sense the temperature change in the furnace sharply and transmit the data to the system in real time, the pressure sensor can accurately measure the pressure condition in the furnace to ensure the control of the pressure of the system, and the gas sensor is responsible for monitoring the content of various gases in the furnace and providing key gas information for the system. Preferably, the data processing module in the second step is responsible for performing deep analysis and processing on the received data, screening, integrating and calculating the data by using advanced algorithms and models, extracting valuable information from the data, and through processing the data, the data processing module can realize real-time monitoring and evaluation on the running state of the plasma furnace, can timely find potential problems and abnormal conditions and send out early warning signals so that operators can take corresponding measures to adjust and optimize, and can perform trend analysis and prediction according to historical data and real-time data, thereby being beneficial to predicting the performance change and possible faults of the plasma furnace in advance. Preferably, various data in the plasma furnace in the third step are transmitted to a remote monitoring platform in real time. The user only needs to open computer or cell phone APP, can acquire the detailed information in the stove at any time and any place, key parameters such as temperature, pressure, gas flow in the stove, the change condition of material in the stove still can all clearly appear in the user's eyes, the staff can in time know the running situation in the stove to can take measures rapidly when the abnormality appears, avoid the further deterioration of problem, and secondly the user can carry out accurate control and adjustment to the production process according to the real-time data of state in the stove, thereby improves production efficiency and product quality. Preferably, in the fourth step, when the parameters in the furnace exceed the preset safety range, the system immediately and automatically sends out an early warning or alarm signal so as to prompt operators to take corresponding measures in time, the temperature, the pressure, the gas