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Heavy! Bohua Technology Releases Intelligent O & M Cloud Platform 2.0 for Industrial Internet EquipmentIt covers all types of equipment, covers a wide range of applications in the industry, provides standards for intelligent early warning, accumulates a large number of fault cases, deepens the depth of professional technology, and applies the new ABCD to ensure the stability of equipment operation and maintenance. Technology has accumulated a lot in the field of industrial Internet equipment cloud, and is committed to becoming a leader in the field of intelligent operation and maintenance of industrial Internet equipment!
Covers vibration, temperature, pressure of common rotating machinery, reciprocating machinery, pumps, diesel engines, gas turbines, wind turbines, flue gas turbines, axial fans, extrusion granulators, steam turbines, motors, roller presses and other equipment , Flow, current, speed, voltage and other state quantities and process quantities for online monitoring, offline detection, and predictive maintenance functions exclusive to different monitoring objects, the platform has been used in petrochemical, rail transportation, power, equipment manufacturing, metallurgy, Cement, municipal and other industries.
Bohua Technology Releases Intelligent O & M Cloud Platform 2.0 for Industrial Internet Equipment
The platform focuses on multiple industries such as petrochemical, rail transportation, electric power, and equipment manufacturing, and provides business functions such as condition monitoring, fault early warning, maintenance decision-making, and production schedule optimization for industrial equipment. It integrates equipment operation status awareness, data analysis, and data decision-making. The solution is an integrated IoT application platform designed to ensure long-term, efficient, energy-saving, and stable operation of enterprise equipment.
Cloud platform architecture <br /> Equipment intelligent operation and maintenance cloud platform architecture:
· Edge layer
· Edge layer
Device intelligent operation and maintenance cloud platform architecture
Use sensors and acquisition data systems arranged on various types of monitoring objects (equipment) to obtain equipment operating status / process information, and send the operating status / process information to the edge layer intelligent edge computing gateway through a wired and wireless sensor network. The collection data system is divided into three categories: the first category is the collector of the BH5000 system; the second category is the DCS system, PLC, third-party collection system, etc .; the third category is the offline collection equipment of the test instrument.
PaaS层： PaaS layer:
The collected data from the edge layer and the analysis data of the SaaS layer are uploaded to the cloud platform in real time. Based on data processing technologies such as HDFS, Spark, HIVE, Kafka, etc., big data analysis and machine learning are used to analyze the data uploaded to the cloud in real time. Real-time data on the status of the same model of equipment, vertical comparison of historical data, accurate positioning of equipment status under different environments and working conditions. At the same time, based on the dynamic training and learning of real-time data and historical fault case data, the intelligent maintenance decision model and intelligent early warning model are optimized and delivered to the SaaS layer application and edge layer intelligent gateway to provide diagnosis and maintenance decision support for enterprise equipment.
Provides data analysis apps and microservices based on the operating mechanism of the device. It is mainly used for the analysis and early warning of the operating status of the device, such as abnormal status alarms, operating conditions analysis, abnormal feature diagnosis, equipment inspection and maintenance management, intelligent optimization of maintenance tasks, and other functions. .
Cloud platform structure:
Equipment intelligent operation and maintenance cloud platform structure
Cloud platform features:
Cloudization and micro-service of the overall technology stack
Supports cloudification of technologies applied from the edge to the PaaS platform, and supports microservices of core functions and modules, such as cepstrum, axis trajectory, impact diagnosis, single / multi-valued bar charts, and more than a hundred functional modules These function modules have a good monitoring effect and early warning effect on various faults of reciprocating compressors, centrifugal compressors, pumps, motors, diesel engines, and gas turbines.
· Public cloud: Support for public cloud solutions
Supports public cloud solutions, and supports a variety of standard data interfaces and protocols. Up to now, Bohua Technology has established partnerships with Tencent, Baidu, Huawei and other companies, and cooperated with Bohua Technology's technical advantages in the field of predictive maintenance of equipment.
· Private cloud: support private cloud solutions and BH industrial internet platform
The main customers of Bohua Technology come from large enterprise customers in the petrochemical, rail transportation, power, equipment manufacturing and other industries. The overall solution supports private cloud deployment, which is the "BH industrial Internet equipment intelligent operation and maintenance platform".
Provide one-stop solutions from sensors, platforms to expert services
Bohua Technology has a complete solution for predictive maintenance of equipment, providing one-stop solutions from sensors to intelligent edge computing gateways, from intelligent edge computing gateways to platform microservice applications, and from platform microservice applications to expert services, integrating equipment System platform for operation / process status monitoring / detection, intelligent early warning diagnosis, inspection and maintenance management, and intelligent maintenance decision-making.
The core technology stack of public cloud and private cloud solutions is completely unified
It is convenient for enterprises to smoothly switch between public and private clouds and hybrid cloud deployment.
Cloud platform functions:
The industrial Internet platform includes equipment monitoring / detection systems, mobile terminal equipment monitoring and diagnosis management systems, cloud-based equipment intelligent early warning analysis and diagnosis systems, and intelligent maintenance decision management systems. , Equipment supplies, etc. cover all levels of equipment management.
Equipment condition monitoring system:
The equipment condition monitoring system is for industrial common rotating machinery, reciprocating machinery, pumps, diesel engines, gas turbines, wind turbines, flue gas turbines, axial fans, extrusion granulators, steam turbines, motors, roller presses and other equipment. On-line monitoring, off-line detection of state and process quantities such as vibration, temperature, pressure, flow, current, speed, voltage, and other functions, as well as alarms, analysis and diagnosis specific to different monitoring objects.
Mobile equipment monitoring and diagnosis management system:
Mobile app based on IOS system and Android system, users can view the device status, spectrum data, waveform data, historical data and key indicators and parameters within the authorized range in real time, and dynamically understand the current operating status and operating conditions of the unit. When there is an alarm in the unit status, the app can push alarm information in real time, provide expert diagnosis conclusions and inspection and maintenance recommendations, and push reminders for subsequent inspection and maintenance to-do items.
Device intelligent early warning analysis and diagnosis system in the cloud:
Based on the "edge layer-IaaS-PaaS-SaaS" structure, based on early warning diagnosis technology, big data analysis and artificial intelligence, it provides remote management, diagnosis, maintenance for operating equipment, and powerful system or remote experts for diagnosis and repair Information exchange platform for decision support and services. Comprehensively improve the equipment's fault diagnosis and maintenance capabilities, as well as the equipment's overhaul and guidance ability on site driving.
Equipment intelligent maintenance decision management system:
Equipment intelligent early warning analysis and diagnosis function
Equipment intelligent early warning analysis and diagnosis function
A dynamic decision-making management system for maintenance, safety, and information, intelligence, and professional equipment based on the reliability-centric maintenance (RCM) principle. Manage equipment inspection and maintenance, maintenance optimization, consumable records, and remaining working life, determine the minimum maintenance task requirements under the premise of ensuring equipment operation safety, reasonably allocate maintenance resources, and achieve long-term equipment operation.
Operation and shutdown statistics chart
Reliability and availability indicator trends
Maintenance task optimization
Application case: Intelligent cloud platform for equipment operation and maintenance