Equipment state monitoring system based on industrial internet platform

Abstract

The invention discloses an equipment state monitoring system based on an industrial internet platform. The equipment state monitoring system comprises the industrial internet platform, an ICS system and a data acquisition system, the data acquisition system is used for acquiring operation data of industrial equipment on line, and the industrial equipment comprises a steam turbine, a generator, a fan, a small steam turbine and a pump; the ICS system is deployed in a plurality of industrial production large areas and is used for communicating with the DCS system through a DCS system private protocol, uniformly processing the operation data acquired by the data acquisition system and reporting the operation data to the industrial internet platform through the DCS system; and the industrial internet platform is used for diagnosing the operation state of each industrial device based on a pre-established diagnosis model and a knowledge base. According to the invention, interaction of data of different production areas in the same large production area can be realized, a standardized, integrated and intelligent industrial equipment management and maintenance system is established, the industrial equipment operation and maintenance cost of a factory is reduced, and the production efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the industrial field, and in particular to an equipment status monitoring system based on an industrial Internet platform. Background Art

[0002] The origin and development of the online monitoring and fault diagnosis technology of industrial equipment status of important rotating machinery in factories are closely related to the considerable failure losses and equipment maintenance costs, and the significance of condition monitoring and fault diagnosis is to effectively curb the failure losses and equipment maintenance costs. The development process of the condition monitoring and fault diagnosis technology of power plant steam turbine generator sets and important auxiliary equipment (fans, pumps, motors, etc.) can be roughly summarized into the following three stages:

[0003] (1) Offline FFT analyzer stage.

[0004] In the early and mid-1980s, vibration signals were recorded on-site using tape recorders, and then input into the FFT (Fast Fourier Transform) analyzer in the laboratory for playback and spectrum analysis. Only the power spectrum (amplitude spectrum) and waveform were available. Only in a few dual-channel configurations could the axis trajectory be seen. The analysis method was single and basically only the amplitude and frequency could be checked.

[0005] (2) Offline or online computer-assisted monitoring and diagnosis stage.

[0006] From the late 1980s to the mid-1990s, computers were used to collect information, analyze signals, manage databases, and even give diagnostic conclusions. There were various graphs and analysis methods, and more emphasis was placed on the comprehensive and integrated use of amplitude, frequency, and phase information. Expert-assisted diagnosis systems also emerged.

[0007] (3) Network monitoring and diagnosis stage.

[0008] Since the late 1990s, we have made full use of the company's internal local area office network and the Internet to achieve resource sharing, investment savings, and remote diagnosis. The monitored parameters are no longer limited to vibration, shaft displacement, and speed, but have been further expanded to process quantities such as flow, pressure, and temperature, providing a more comprehensive and accurate understanding of the equipment's operating status.

[0009] At present, the industrial equipment in the factory generally adopts an online monitoring system independently deployed based on the enterprise's internal local office network. Due to the information security requirements of the thermal power plant, the data exchange between it and the DCS system is very limited, which makes it quite difficult to push the fault diagnosis warning information and diagnosis conclusions to the DCS operator's platform. Therefore, how to quickly and effectively monitor the operating status of the factory's industrial equipment has become a technical problem that needs to be solved urgently by people in this field. Summary of the invention

[0010] In view of the above problems, the present invention provides an equipment status monitoring system based on an industrial Internet platform, which overcomes the above problems or at least partially solves the above problems.

[0011] An equipment status monitoring system based on an industrial Internet platform, comprising: an industrial Internet platform, an ICS system and a data acquisition system;

[0012] The data acquisition system is used to collect the operating data of industrial equipment online, wherein the industrial equipment includes: steam turbines, generators, fans, small steam turbines and pumps;

[0013] The ICS system is deployed in multiple industrial production areas, and is used to communicate with the DCS system through the DCS system private protocol, uniformly process the operation data collected by the data acquisition system, and report it to the industrial Internet platform through the DCS system;

[0014] The industrial Internet platform is used to diagnose the operating status of each industrial equipment based on a pre-established diagnostic model and knowledge base.

[0015] Optionally, in certain optional embodiments, the data acquisition system includes: a steady-state rotating equipment acquisition subsystem and an auxiliary equipment acquisition subsystem;

[0016] The steady-state rotating equipment acquisition subsystem is used to monitor the vibration and temperature of the steady-state rotating equipment and access the data collected by the TSI system to collect the vibration, temperature and other process quantity data of the bearings of the steady-state rotating equipment, wherein the steady-state rotating equipment includes: steam turbines, generators, and small steam engines;

[0017] The auxiliary equipment acquisition subsystem is used to monitor the vibration and temperature of the auxiliary equipment, and monitor the bearings of the auxiliary equipment based on the temperature-vibration integrated acceleration sensor, wherein the auxiliary equipment includes: a fan and a water pump.

[0018] Optionally, in certain optional embodiments, the ICS system includes: an algorithm integration subsystem and a system integration subsystem;

[0019] The algorithm integration subsystem is used to integrate third-party applications and third-party algorithms, realize unified data management and operation monitoring in the production area, and provide an open advanced application environment;

[0020] The system integration subsystem is used to expand the DCS system into an industrial edge computing platform based on the CPS system. By integrating the real-time data, historical data and alarm data of the DCS system into a unified data center, combined with the information model pre-established based on the OPC UA standard, an industrial edge computing platform based on the CPS system is constructed.

[0021] Optionally, in certain optional embodiments, the ICS system further comprises: a control establishment subsystem;

[0022] The control establishment subsystem is used to establish a closed-loop connection between the basic control level and the intelligent control level, and vertically connect the boundary between the basic control and the intelligent control.

[0023] Optionally, in certain optional implementations, the ICS system further includes: an application development subsystem;

[0024] The application development subsystem is used to realize low-code, graphical and modular development and application of intelligent algorithms, thereby improving the reusability of experience and knowledge.

[0025] Optionally, in certain optional embodiments, the ICS system further comprises: a configuration establishment subsystem;

[0026] The configuration establishment subsystem is used to establish low-code logic diagram configuration and flow chart configuration through a graphical model, support the access of third-party applications, develop industrial apps, and monitor the platform and applications.

[0027] Optionally, in certain optional implementations, the industrial Internet platform includes: a device management and configuration subsystem;

[0028] The device management and configuration subsystem is used to create a diagnostic device model using the modeling tool of the industrial Internet platform, create a new instance of the device to be tested, configure the corresponding parameters through the configuration interface and save them to the industrial Internet platform.

[0029] Optionally, in certain optional implementations, the industrial Internet platform includes: a fault feature point calculation subsystem;

[0030] The fault characteristic point calculation subsystem is used to calculate relevant fault characteristic points according to different equipment types, configuration parameters, and characteristic algorithms.

[0031] Optionally, in certain optional implementations, the industrial Internet platform includes: a fault rule derivation subsystem;

[0032] The fault rule derivation subsystem is used to provide a visual configuration tool, configure fault diagnosis rules according to feature points, form a rule base, and infer the calculated feature points according to the definitions in the rule base to obtain a diagnosis result.

[0033] Optionally, in certain optional implementations, the industrial Internet platform includes: a diagnostic task management and result display subsystem;

[0034] The diagnostic task management and result display subsystem is used to generate relevant diagnostic tasks to perform feature point calculation, fault derivation and display the derived calculation results according to the diagnostic plan entered by the user.

[0035] By means of the above technical scheme, the present invention provides an equipment status monitoring system based on the industrial Internet platform, which may include: an industrial Internet platform, an ICS system and a data acquisition system; the data acquisition system is used to collect the operating data of industrial equipment online, wherein the industrial equipment includes: steam turbines, generators, fans, small steam engines and pumps; the ICS system is deployed in multiple industrial production areas, and is used to communicate with the DCS system through the DCS system private protocol, uniformly process the operating data collected by the data acquisition system and report it to the industrial Internet platform through the DCS system; the industrial Internet platform is used to diagnose the operating status of each of the industrial equipment based on the pre-established diagnostic model and knowledge base. It can be seen from this that the present invention can realize the interaction of data from different production areas within the same production area, establish a standardized, integrated and intelligent industrial equipment management and maintenance system, reduce the factory's industrial equipment operation and maintenance costs and improve production efficiency.

[0036] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0038] Figure 1 A schematic diagram of the structure of a first equipment status monitoring system based on an industrial Internet platform provided by the present invention is shown;

[0039] Figure 2 A structural schematic diagram of a second equipment status monitoring system based on an industrial Internet platform provided by the present invention is shown. DETAILED DESCRIPTION

[0040] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0041] like Figure 1 As shown, the present invention provides an equipment status monitoring system based on an industrial Internet platform, including: an industrial Internet platform, an ICS system and a data acquisition system;

[0042] The data acquisition system is used to collect the operating data of industrial equipment online, wherein the industrial equipment includes: steam turbines, generators, fans, small steam turbines and pumps;

[0043] For example, in some optional embodiments, the data acquisition system includes: a steady-state rotating equipment acquisition subsystem and an auxiliary equipment acquisition subsystem;

[0044] The steady-state rotating equipment acquisition subsystem is used to monitor the vibration and temperature of the steady-state rotating equipment and access the data collected by the TSI system to collect the vibration, temperature and other process quantity data of the bearings of the steady-state rotating equipment, wherein the steady-state rotating equipment includes: steam turbines, generators, and small steam engines;

[0045] The auxiliary equipment acquisition subsystem is used to monitor the vibration and temperature of the auxiliary equipment, and monitor the bearings of the auxiliary equipment based on the temperature-vibration integrated acceleration sensor, wherein the auxiliary equipment includes: a fan and a water pump.

[0046] Optionally, the data acquisition system of the present invention can report the data of the temperature-vibration integrated sensor, data collector, other process quantity data of auxiliary equipment (process data comes from the DCS system) and simulation data generator to the platform for unified storage through a unified reporting interface.

[0047] Optionally, the data acquisition system of industrial equipment (steam turbines, small machines, fans, pumps, etc.) can adopt an online wired monitoring solution. For the vibration and temperature monitoring of steady-state rotating equipment such as steam turbines, generators, and small steam engines, a collection station based on wired transmission can be used to access the data collected by the TSI system to realize the vibration and temperature measurement of bearings and the collection of other process quantity data.

[0048] For vibration and temperature monitoring of important auxiliary equipment such as fans and water pumps, a collection station based on wired transmission is used, and a temperature and vibration integrated acceleration sensor is installed to measure the bearings. This solves the problem of collecting data of multiple types and multiple monitoring methods on site.

[0049] Optionally, the present invention can be understood as a state monitoring and intelligent diagnosis system for industrial equipment in thermal power plants built on the cloud-edge-end collaborative architecture of the industrial Internet platform. The system can mainly conduct online collection and real-time monitoring of major detection objects such as vibration failures of steam turbines and important auxiliary mechanical equipment in thermal power plants. At the same time, the present invention can apply big data and artificial intelligence analysis models to perform dynamic analysis and intelligent diagnosis of equipment failures from three dimensions: equipment reliability, availability, and economy, and automatically evaluate and warn the status.

[0050] Optionally, the present invention can continuously monitor online parameters such as vibration, rotation speed and bearing temperature of steam turbines and important auxiliary machines (fans, pumps, motors, compressors, industrial steam turbines, mills, etc.) during operation to achieve massive data storage.

[0051] Optionally, the present invention has complete vibration signal analysis functions, including time domain analysis (waveform and characteristic parameters, axis trajectory), frequency domain analysis (spectrum and characteristic parameters, inverse spectrum, envelope spectrum, waterfall chart), trend analysis, correlation trend analysis, comparative analysis and data list functions.

[0052] Optionally, the present invention uses fault diagnosis rules with causal relationships to diagnose transfer faults. According to the fault mechanism, fault cases and field experience, a knowledge base of transfer vibration fault signs, diagnostic rules and cases is established. At the same time, a corresponding algorithm library of symptom credibility calculation and fault severity calculation is developed to achieve intelligent diagnosis of common faults such as imbalance, misalignment, dynamic and static friction, looseness, shaft bending, rotational stall, poor lubrication, resonance, bearings and gears, accurately locate faulty components, fault type and severity, and improve the timeliness and reliability of fault diagnosis and the practicality of fault handling.

[0053] Optionally, the present invention supports distributed deployment of host computer software, and deploys a set of software in production area I in the ICS system based on the industrial Internet platform framework to achieve integrated, safe, efficient, and two-way data communication with the DCS database. It satisfies the operators of production area I to view equipment status warnings and automatic fault diagnosis information in three-dimensional visualization on the operator interface. At the same time, data can be directly synchronized to the plant-level / group industrial Internet platform of area III through the ICS system interface (a large plant area can include at least production areas I and III), and a set of software is deployed to meet the remote diagnosis, predictive maintenance management and decision support of the equipment department, maintenance department, and production technology department of area III.

[0054] The ICS system is deployed in multiple industrial production areas, and is used to communicate with the DCS system through the DCS system private protocol, uniformly process the operation data collected by the data acquisition system, and report it to the industrial Internet platform through the DCS system;

[0055] Optionally, the ICS system refers to: through the deployment of the Intelligent Control System (ICS) platform, a closed-loop connection between basic control, intelligent control and other levels is established, and the boundary between basic control and intelligent control is vertically broken.

[0056] For example, in some optional embodiments, the ICS system includes: an algorithm integration subsystem and a system integration subsystem;

[0057] The algorithm integration subsystem is used to integrate third-party applications and third-party algorithms, realize unified data management and operation monitoring in the production area, and provide an open advanced application environment;

[0058] Optionally, the present invention can integrate third-party applications and third-party algorithms to achieve unified management of data within a large production area, unified monitoring of optimization module operations, and provide an open advanced application environment.

[0059] The system integration subsystem is used to expand the DCS system into an industrial edge computing platform based on the CPS system. By integrating the real-time data, historical data and alarm data of the DCS system into a unified data center, combined with the information model pre-established based on the OPC UA standard, an industrial edge computing platform based on the CPS system is constructed.

[0060] Optionally, the present invention can expand the conventional DCS system into an industrial edge computing platform based on Cyber-Physical Systems (CPS), by integrating the real-time, historical, and alarm data of the DCS system into a unified data center, and combining the information model established by the OPC UA standard to build a high-performance industrial edge computing platform based on CPS.

[0061] For another example, in some optional implementations, the ICS system further includes: a control establishment subsystem;

[0062] The control establishment subsystem is used to establish a closed-loop connection between the basic control level and the intelligent control level, and vertically connect the boundary between the basic control and the intelligent control.

[0063] For another example, in some optional implementations, the ICS system further includes: an application development subsystem;

[0064] The application development subsystem is used to realize low-code, graphical and modular development and application of intelligent algorithms, thereby improving the reusability of experience and knowledge.

[0065] Optionally, the present invention can complete the low-code, graphical, and modular development and application of intelligent algorithms, improve the reusability of experience and knowledge, and lower the technical threshold for operation analysts.

[0066] For another example, in some optional implementations, the ICS system further includes: a configuration establishment subsystem;

[0067] The configuration establishment subsystem is used to establish low-code logic diagram configuration and flow chart configuration through a graphical model, support the access of third-party applications, develop industrial apps, and monitor the platform and applications.

[0068] Optionally, the present invention can be established through a graphical model, low-code logic diagram, and flow chart configuration, which can widely support industrial site needs such as third-party application access, industrial APP development, platform and application monitoring, etc.

[0069] The industrial Internet platform is used to diagnose the operating status of each industrial equipment based on a pre-established diagnostic model and knowledge base.

[0070] For example, in some optional embodiments, the industrial Internet platform includes: a device management and configuration subsystem;

[0071] The device management and configuration subsystem is used to create a diagnostic device model using the modeling tool of the industrial Internet platform, create a new instance of the device to be tested, configure the corresponding parameters through the configuration interface and save them to the industrial Internet platform.

[0072] Optionally, the device management and configuration subsystem can use the platform modeling tool to create a diagnostic device model, create a new device instance to be tested, and configure the corresponding parameters through the configuration interface and save them to the platform.

[0073] For another example, in some optional implementations, the industrial Internet platform includes: a fault feature point calculation subsystem;

[0074] The fault characteristic point calculation subsystem is used to calculate relevant fault characteristic points according to different equipment types, configuration parameters, and characteristic algorithms.

[0075] Optionally, the fault feature point calculation subsystem can calculate relevant fault feature points according to different equipment types, configuration parameters, and feature algorithms. This subsystem should be able to support parallel computing.

[0076] For another example, in some optional implementations, the industrial Internet platform includes: a fault rule derivation subsystem;

[0077] The fault rule derivation subsystem is used to provide a visual configuration tool, configure fault diagnosis rules according to feature points, form a rule base, and infer the calculated feature points according to the definitions in the rule base to obtain a diagnosis result.

[0078] Optionally, the fault rule derivation subsystem can provide a visual configuration tool, allowing professionals to configure fault diagnosis rules based on characteristic points to form a rule base. The derivation system will infer the calculated characteristic points based on the definitions in the rule base to obtain diagnostic results.

[0079] For another example, in some optional implementations, the industrial Internet platform includes: a diagnostic task management and result display subsystem;

[0080] The diagnostic task management and result display subsystem is used to generate relevant diagnostic tasks to perform feature point calculation, fault derivation and display the derived calculation results according to the diagnostic plan entered by the user.

[0081] Optionally, the diagnostic task management and result display subsystem can generate relevant diagnostic tasks to perform feature point calculations and fault derivation according to the diagnostic plan entered by the user, and display the derived calculation results.

[0082] Optionally, the modeling framework and path of the industrial Internet platform can be: using the application design module function in the ICS system to create the model in the OPC UA model design tool for model design.

[0083] The specific modeling method may be: create a model under the information model type of the OPC UA model design tool to obtain a basic model, instantiate the basic model under the object folder, multiple instantiations may be made, and the model instance may be used in practice, and the present invention does not limit this.

[0084] Optionally, the present invention can establish a cloud, edge, and end-coordinated equipment online monitoring, intelligent diagnosis, and predictive maintenance management system for the factory to solve the following problems:

[0085] 1. Integrated cloud-edge-end collaborative industrial equipment online monitoring, intelligent diagnosis, and predictive maintenance platform: A top-down overall solution architecture has been built to effectively solve technical and business architecture issues in various aspects such as multi-type equipment monitoring, multi-source data, edge applications, equipment big data, intelligent AI algorithm applications, fault prediction PDCA closed loop, digital visualization, mobility, knowledge base, and data-driven business.

[0086] 2. Modeling based on the information of the industrial Internet platform: Use the application design module function in the industrial Internet platform to create the model in the OPC UA model design tool of the model design. According to the type of diagnostic knowledge, the adequacy and completeness of the knowledge base knowledge expression, the convenience of knowledge base management and maintenance, etc., the knowledge base is modularized and embedded with the application of the intelligent diagnostic expert system of the thermal power industry equipment type set, fault set, symptom set, background library, case library, and countermeasure library, which can effectively improve the timeliness and accuracy of fault diagnosis and intelligent early warning, avoid or reduce the occurrence of accidents, and improve the equipment operation level. The ease of use of the diagnostic system has been greatly increased.

[0087] 3. Data interaction with DCS system: Use the ICS system under the framework of the industrial Internet platform to realize the unified reporting platform for system data collection. The ICS system communicates with the DCS system through the DCS system private protocol. The relevant information reported to the ICS system includes: equipment 3D model, fault type (such as looseness, bearing damage), defect degree (such as minor, general, severe), diagnosis conclusion (such as minor damage to rolling bearings), maintenance suggestions (for example, it is recommended to pay attention to abnormal noise and temperature of equipment during inspection; check the lubricating oil status at the right time and improve bearing lubrication), etc.; and it can be displayed on the configuration screen at the operation station.

[0088] Optionally, the present invention can achieve data redundancy: the cluster deployment mode of the real-time library Redis and the master-slave structure realize the distributed storage and redundant backup of data. The historical library uses the cluster deployment mode of Elasticsearch to realize the distributed storage and redundant backup of data.

[0089] Optionally, the present invention can implement redundant switching: based on the virtualized container cluster technology, dual-network redundant switching is physically implemented to ensure that data is not inaccessible due to network problems.

[0090] Optionally, the present invention can achieve load balancing and reverse proxy: use Nginx reverse proxy server to achieve software load balancing, distribute all network requests evenly to other servers, and reasonably manage network traffic.

[0091] Optionally, the present invention can achieve resource isolation: utilizing the isolation characteristics of containers to separate computing resources and storage resources in the system, thereby ensuring that services do not affect each other and their availability.

[0092] Optionally, the present invention can implement network flow limiting: using message queue services, the massive requests within a time window can be rate-limited to protect the system, so as to buffer requests and execute asynchronously, thereby protecting system availability.

[0093] Optionally, the present invention can establish an MQTT communication protocol: the data acquisition subsystem reports sensor data through the MQTT protocol. MQTT is a "lightweight" communication protocol based on the publish / subscribe model. The protocol is built on the TCP / IP protocol. Its advantage is that it can provide real-time and reliable message services for connected remote devices with very little code and limited bandwidth.

[0094] Optionally, the present invention can establish an information model: by creating a device information model and binding the data measurement points of the access platform, the objects and variables in the model can be used to obtain real-time data information of the model for use or external provision.

[0095] Optionally, the present invention can adopt a microservice technology architecture, which greatly improves the reusability of components, supports containerization, clustered deployment and various environments (physical machines, virtual machines, clusters, public clouds, private clouds, hybrid clouds), and supports multi-tenancy.

[0096] Optionally, the present invention can be centered around an information model built with the OPC UA standard. Based on model-driven technology, the functions and processes can be highly configurable, reconfigurable, and extensible, and can be seamlessly integrated with related services of the Industrial Internet.

[0097] Optionally, the present invention can be based on WEB visual configuration, integrated support for multiple terminal devices such as PCs, mobile phones, handheld devices, large screens, etc.

[0098] Optionally, the present invention may have data governance, data asset management, and big data analysis capabilities, integrate multiple machine learning algorithms, and implement model training through visual orchestration tools.

[0099] Optionally, the present invention can support open integration standards such as RESTful, gRPC, OPC UA, Websocket, etc., and can flexibly and efficiently support horizontal and vertical integration with other information systems inside and outside the enterprise.

[0100] Optionally, the present invention can accommodate various forms of industrial APPs (desktop software, background services, WEB applications, native applications, mobile APPs).

[0101] Specifically, one 75-ton CFB boiler, two 130-ton CFB boilers and one 116MW CFB hot water boiler thermal power unit were transformed based on the present invention, achieving the goal of industrial equipment status monitoring and predictive maintenance management, and realizing automatic diagnosis and intelligent early warning of important auxiliary machine faults on the operation operator interface. Equipment management / maintenance management personnel can view the automatic diagnosis and intelligent early warning data of important auxiliary machine faults synchronized from the operator interface on the WEB page, conduct remote monitoring and data analysis, and thus conduct comprehensive diagnosis by manual experts and accurate maintenance planning. The quarterly defect rate of important auxiliary machine parts has dropped from the original 20%-30% to 2%-5%, the defect elimination rate has increased from the original 88% to 98%, and the incidence of repeated maintenance items has decreased by 50%. The annual maintenance cost has been saved by nearly 800,000 yuan.

[0102] Specifically, for 2*660MW coal-fired units, the power plant was transformed based on the present invention, and the quarterly defect rate of important auxiliary parts was reduced from the original 10%-15% to 1%-3%, the defect elimination rate was increased from the original 90% to 98.5%, and the occurrence rate of repeated maintenance items was reduced by 80%. The annual maintenance cost was saved by nearly 1 million yuan.

[0103] It can be seen from this that the present invention can timely discover defects and equipment hidden dangers, effectively improve the efficiency of defect elimination and scheduled repairs, reduce the consumption of spare parts, reduce the number of non-stop operations, prevent serious accidents, improve equipment reliability, optimize maintenance items and cycles, scientifically evaluate equipment risks, extend equipment life, and is expected to reduce annual maintenance costs by 10% to 15% of the total budget.

[0104] Optionally, in order to further clearly describe the solution of the present invention, the present invention provides the following Figure 2 The overall structure diagram of the system, the contents of which have been explained above, will not be elaborated in the present invention.

[0105] It should be noted that device access, protocol parsing, data processing and unified reporting belong to the scope of data acquisition system and ICS system, and mainly involve the relationship between device access system, communication protocol parsing, data parsing and analysis, and unified reporting of data, etc. The present invention does not limit this.

[0106] As mentioned above, the present invention involves collecting data from multiple devices and diagnosing multiple devices. Therefore, the present invention needs to establish a corresponding model. Figure 2 The fan diagnosis mechanism model, industrial steam turbine diagnosis mechanism model, compressor diagnosis mechanism model, rule reasoning engine subsystem, thermal power steam turbine diagnosis mechanism model, pump equipment diagnosis mechanism model, rule reasoning orchestration subsystem, mill diagnosis mechanism model and motor diagnosis mechanism model, etc., are not limited to this in the present invention.

[0107] As mentioned above, the industrial Internet platform, as the top layer of the entire system, needs to be able to provide various services and data support. Figure 2 Model service, real-time data service, historical data service, event library service, event publishing and subscription service, model library, real-time library, historical library and relationship library, etc.

[0108] In the present invention, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0109] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0110] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined in the present invention may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown in the present invention, but will conform to the widest scope consistent with the principles and novel features disclosed in the present invention.

[0111] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. An equipment status monitoring system based on an industrial Internet platform, characterized in that: include: Industrial Internet platform, ICS system and data acquisition system; The data acquisition system is used to collect the operating data of industrial equipment online, wherein the industrial equipment includes: steam turbines, generators, fans, small steam turbines and pumps; The ICS system is deployed in multiple industrial production areas, and is used to communicate with the DCS system through the DCS system private protocol, uniformly process the operation data collected by the data acquisition system, and report it to the industrial Internet platform through the DCS system; The industrial Internet platform is used to diagnose the operating status of each industrial equipment based on a pre-established diagnostic model and knowledge base.

2. The system according to claim 1, characterized in that The data acquisition system includes: a steady-state rotating equipment acquisition subsystem and an auxiliary equipment acquisition subsystem; The steady-state rotating equipment acquisition subsystem is used to monitor the vibration and temperature of the steady-state rotating equipment and access the data collected by the TSI system to collect the vibration, temperature and other process quantity data of the bearings of the steady-state rotating equipment, wherein the steady-state rotating equipment includes: steam turbines, generators, and small steam engines; The auxiliary equipment acquisition subsystem is used to monitor the vibration and temperature of the auxiliary equipment, and monitor the bearings of the auxiliary equipment based on the temperature-vibration integrated acceleration sensor, wherein the auxiliary equipment includes: a fan and a water pump.

3. The system according to claim 1, characterized in that The ICS system includes: an algorithm integration subsystem and a system integration subsystem; The algorithm integration subsystem is used to integrate third-party applications and third-party algorithms, realize unified data management and operation monitoring in the production area, and provide an open advanced application environment; The system integration subsystem is used to expand the DCS system into an industrial edge computing platform based on the CPS system. By integrating the real-time data, historical data and alarm data of the DCS system into a unified data center, combined with the information model pre-established based on the OPC UA standard, an industrial edge computing platform based on the CPS system is constructed.

4. The system according to claim 3, characterized in that The ICS system further comprises: a control establishment subsystem; The control establishment subsystem is used to establish a closed-loop connection between the basic control level and the intelligent control level, and vertically connect the boundary between the basic control and the intelligent control.

5. The system according to claim 4, characterized in that The ICS system further includes: an application development subsystem; The application development subsystem is used to realize low-code, graphical and modular development and application of intelligent algorithms, thereby improving the reusability of experience and knowledge.

6. The system according to claim 5, characterized in that The ICS system further includes: a configuration establishment subsystem; The configuration establishment subsystem is used to establish low-code logic diagram configuration and flow chart configuration through a graphical model, support the access of third-party applications, develop industrial apps, and monitor platforms and applications.

7. The system according to claim 1, characterized in that The industrial Internet platform includes: a device management and configuration subsystem; The device management and configuration subsystem is used to create a diagnostic device model using the modeling tool of the industrial Internet platform, create a new instance of the device to be tested, configure the corresponding parameters through the configuration interface and save them to the industrial Internet platform.

8. The system according to claim 1, characterized in that The industrial Internet platform includes: a fault feature point calculation subsystem; The fault characteristic point calculation subsystem is used to calculate relevant fault characteristic points according to different equipment types, configuration parameters, and characteristic algorithms.

9. The system according to claim 1, characterized in that The industrial Internet platform includes: a fault rule derivation subsystem; The fault rule derivation subsystem is used to provide a visual configuration tool, configure fault diagnosis rules according to feature points, form a rule base, and infer the calculated feature points according to the definition in the rule base to obtain a diagnosis result.

10. The system according to claim 1, characterized in that The industrial Internet platform includes: a diagnostic task management and result display subsystem; The diagnostic task management and result display subsystem is used to generate relevant diagnostic tasks to perform feature point calculation, fault derivation and display the derived calculation results according to the diagnostic plan entered by the user.

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