Introduction: The fine chemical industry has a diversified product structure, and its production process is also relatively complex, and various fault problems are difficult. Based on this, Guangdong Zhizi forges a protective shield for chemical enterprises through machine auscultation masters and first-class maintenance equipment.
With the continuous emergence of various new processes and technologies, diversified chemical products have unique application value and show vigorous industry vitality. However, in the chemical industry, many production equipment needs to operate under extreme conditions such as high temperature, high pressure and high speed, which is easy to cause production interruption due to abnormal conditions. In order to ensure the stable operation of the automated production line, the machine auscultation master collects high-quality sound and vibration data through advanced sensors, monitors the operation status of the equipment in real time, deals with potential problems in a timely manner, and provides decision-making basis for the operation and maintenance of the production line.
1. Production line operation and maintenance problems
1. The equipment is overloaded.
2. The process flow is complex.
3. High production risk.
4. Frequent labor force changes.
5. Production data cannot be "run".
2. Master of machine auscultation
1. Memory tuning.
Q: The production line in the chemical industry is complex, the multi-source data collected by the sensor is large, and the update frequency is high, how should enterprises simplify the data and improve the storage space?
A: Transform the features of massive data and upload it to the server, so that the data model can better match the actual application scenario, and the data processing speed is increased by 18%.
2. Data analysis.
Q: In the face of a huge database, covering multiple types of information such as acoustic and vibration data, production data and environmental data, how should enterprises extract high-quality data and judge the operation trend more quickly and accurately?
A: Edge algorithm technology is used to capture data features in multiple dimensions, and model iteration is realized in machine learning to ensure efficient return of key data.
3. Condition monitoring.
Q: In the operating environment of high temperature and high load, key equipment is prone to the situation of "sick duty", and problems such as excessive raw material load, foreign body jamming and bearing corrosion are frequent failure points in the industry. In this regard, how should enterprises prevent "small accidents" from becoming "big troubles"?
A: Using voiceprint monitoring technology, multiple sensors accurately collect audio data, monitor the status of equipment in real time, and deal with the aging, deformation, loosening and wear of mechanical parts in a timely manner, reducing unplanned downtime by 5%.
3. Intelligent early warning.
Q: In the production process of chemical products, too high or too low early warning thresholds may affect the production line. So how should enterprises filter out invalid warning signals and establish an intelligent alarm mechanism?
A: Establish an early warning indicator system, accurately identify fault points, set the optimal interval of the early warning threshold, and form an intelligent alarm mechanism graded by events, so as to increase the accuracy of fault warning by 35%.
4. Safe and reliable.
Q: The risk factor of chemical production is high, and personnel skills training is difficult, how should enterprises capture potential risks and ensure the safety and stability of production lines?
A: Managers can monitor the operation status of equipment around the clock through the synchronous data of the mobile terminal and deal with abnormal situations in a timely manner. Compared with the traditional method, the intensity of manual inspection is reduced by 20%.
5. Sexual maintenance.
Q: Once the chemical production equipment fails, it will generate higher maintenance costs and reduce production losses, so how should enterprises evaluate the health trend of equipment and carry out first-class maintenance?
A: Take the area prone to failure as the monitoring point, combine the real-time collection data and historical traceability data, and take corresponding maintenance measures to reduce the risk of equipment failure.
Auditory identification, remote diagnosis. In-depth perception of the production line, independent analysis and decision-making, making the production line visible, traceable and controllable, forging a protective shield for the chemical industry, Zhizi escorts the production of enterprises.
Thanks for reading, that's all for the introduction of part of the machine auscultation master.