Power plant EH oil liquid online monitoring system

Abstract

The invention provides a power plant EH oil liquid on-line monitoring system, which relates to the technical field of power equipment monitoring and is composed of a field data acquisition module, a local server and a remote diagnosis center. The field acquisition module comprises a plurality of high-precision sensors and can acquire key parameters such as oil viscosity, moisture and acid value in real time. System software has a powerful analysis function, can generate a trend chart and a report, and realizes oil quality and moisture history analysis. Data management adopts a scientific sampling trigger mode, a server performs automatic backup, and a user can query in multiple modes. The system is simple to install and debug and easy to maintain and manage. Compared with a traditional monitoring method, the real-time performance and the accuracy are remarkably improved, and the cost and the manpower demand are reduced. The method can early warn faults in time, ensures safe and stable operation of power plant equipment, has wide application prospects and important practical value, and powerfully promotes intelligent development of the power industry.

Description

Technical Field

[0001] The invention belongs to the technical field of power equipment monitoring, and more specifically, particularly relates to an EH oil online monitoring system for a power plant. Background Art

[0002] In the field of power generation, the normal operation of the EH fire-resistant oil system of the power plant turbine is crucial to ensure power generation efficiency and equipment safety. However, in actual operation, EH fire-resistant oil faces many problems and challenges.

[0003] As a commonly used medium, phosphate fire-resistant oil faces a series of difficulties in its application. First, the particle size problem is prominent. Tiny particle contamination may cause the servo valve and other precision parts to get stuck, affecting the normal operation of the system. In the early days, due to the limitations of filtration technology, it was difficult to ensure that the cleanliness of the fire-resistant oil during operation met the requirements, which caused many serious accidents. Secondly, the deterioration of oil quality cannot be ignored. Its anti-oxidation and anti-hydrolysis stability are relatively poor. At a specific temperature, it reacts with oxygen and water to produce oxidation and hydrolysis reactions, producing acidic products, which further accelerates deterioration. Furthermore, the resistivity problem of fire-resistant oil during operation has not received enough attention, resulting in many electrochemical corrosion problems of the adjustment system components, affecting the system performance and life. In addition, fire-resistant oil is also easily contaminated during operation, such as contamination by mineral oil, water or other impurities, which causes a series of performance indicators to decline, and even causes huge economic losses.

[0004] Traditional EH fire-resistant oil monitoring mostly uses the method of regular manual sampling and analysis, which has many disadvantages. The monitoring cycle is long and cannot reflect the real-time status of the oil in time, which may miss the best maintenance opportunity. The accuracy of the data is easily affected by human factors and the environment, and it is difficult to accurately judge the changes in oil quality. Moreover, this method cannot effectively predict the early wear and sudden failure of the equipment, and cannot meet the high requirements of modern power production for equipment reliability and stability. Therefore, it is urgent to develop a real-time, accurate and efficient EH fire-resistant oil online monitoring system. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides an online monitoring system for EH oil in a power plant to solve the above problems.

[0006] An online monitoring system for EH oil in a power plant, comprising a field data acquisition module, a local server and a remote diagnosis center;

[0007] The field data acquisition module includes an oil data acquisition station, a cleanliness monitoring sensor, an oil acid value monitoring sensor, an oil moisture sensor, an oil viscosity sensor, an oil dielectric constant sensor and a signal transmission cable. The oil system is monitored by installing an online cleanliness monitoring sensor and an oil quality monitoring sensor in the EH fire-resistant oil circuit. Signal cables are used to transmit the unit operation data to the online status monitoring system collector. The front-end collected data is sent to the local server in the central control room through the communication network for processing and storage, and preliminary data analysis and diagnosis are performed. For alarm data, when the external network is opened, VPN and other methods are used to transmit the data to the remote diagnosis center to ensure the safe operation of the equipment.

[0008] Preferably, the lower computer acquisition unit in the field data acquisition module is mainly composed of an oil online acquisition system, a power supply system, and a control panel system to complete the data acquisition for online monitoring of fire-resistant oil.

[0009] Preferably, the oil circulation unit in the field data acquisition module is mainly composed of an oil intake port, an oil intake pipeline, an oil inlet, an internal oil pipeline, an oil outlet, an oil return pipeline, an oil return port and related oil pumps, which completes the circulation of oil and realizes real-time collection of oil.

[0010] Preferably, the communication unit in the field data acquisition module is mainly composed of a power line, a 485 signal line or an Ethernet line to complete the data transmission of the oil online monitoring system.

[0011] Preferably, the host computer unit in the field data acquisition module is mainly composed of a database, a server, a workstation, a display, and an expert diagnosis. The host computer software performs real-time analysis on the collected data. One end intuitively displays the real-time data through the data client of the display, and the other end can be transmitted to the expert diagnosis center through the network for more detailed and professional analysis.

[0012] Preferably, the sensors used in the online oil monitoring and analysis system include a cleanliness detection sensor, an acid value sensor, a viscosity detection sensor, a moisture detection sensor and a dielectric constant detection sensor. The dielectric constant detection sensor is used to detect the dielectric constant and kinematic viscosity of the oil, and the detection principle is the tuning fork resonance principle. The moisture detection sensor is used to detect the trace water content in the oil, and the detection principle is the thin film capacitor principle.

[0013] Preferably, the oil monitoring technical parameters include relative moisture content of 0-100% with an accuracy of ±2%; micro-water monitoring of 0-5000ppm with an accuracy of ±10% of the range; oil kinematic viscosity of 1-1000Cst with an accuracy of ±5% or 5Cst; contamination degree of 4, 6, 14, 21, 38, 50, 70, 100um with an accuracy of ±0.5I SO code; acid value ≤0.5mgKOH / g (needs to be calibrated) with an accuracy of ±5%; oil dielectric constant of 1-6ε with an accuracy of ±3% of the range; oil temperature of -40~+85℃ with an accuracy of ±2%; working environment temperature of -40~+85℃, humidity of 0-98%RH (no condensation), fluid pressure ≤15bar, and fluid velocity of 50-500mL / min; electrical parameters are power supply 24VDC8W, and communication mode is RS485Modbus, TCP / IP.

[0014] Preferably, the system software has an oil monitoring function, including oil quality historical analysis and oil moisture historical analysis. The corresponding interface is entered through the software function navigation bar, the equipment number and time period are selected, and historical graphs are drawn for trend analysis.

[0015] Preferably, the data management function of the system includes the use of time-triggered and alarm-triggered data acquisition technology to ensure the data storage strategy. The central server is equipped with a Rad5 data automatic backup function. The system has an open database structure, and users can query unit data by time, trend, alarm, data type, etc.

[0016] Preferably, the integrated data collection control box is installed using the oil inlet at the bottom of the oil tank of the steam turbine EH fire-resistant oil system, and a three-way valve is made at the reserved opening at the bottom of the oil tank. When the oil pump is operating, the oil in the oil tank is diverted to the integrated and oil information collection box, and finally flows through the three-way valve above the oil tank and returns to the oil tank.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] 1. Significantly improve the real-time monitoring performance: The online monitoring system of the present invention can collect data in real time. For example, in Example 2, data update is achieved in seconds. Compared with the traditional control ratio that takes several days to a week to obtain results, it can timely detect instantaneous changes in oil status and issue fault warnings several hours to several days in advance to avoid fault deterioration.

[0019] 2. Significantly improve data accuracy: Use advanced sensors and data processing technology, such as the cutting-edge customized equipment used in Example 3, to achieve high data accuracy, avoiding the human errors and environmental factors that may exist in traditional manual sampling and analysis, and providing a reliable basis for accurately judging the oil state and equipment operation status.

[0020] 3. Effectively reduce maintenance costs: Through real-time monitoring and accurate analysis, the frequency of regular manual sampling and laboratory analysis is reduced, and the maintenance costs of reagents, equipment and manpower are reduced. Taking Examples 1-3 as an example, the maintenance cost is significantly lower than the traditional method in the comparative example.

[0021] 4. Significantly reduce manpower requirements: The online monitoring system can automatically collect and analyze data, such as in Examples 1-3, which requires less manpower, reduces the workload of operation and maintenance personnel, and improves work efficiency. The traditional comparative example requires more manpower for sampling and laboratory analysis.

[0022] 5. Enhanced fault warning capability: The present invention can detect potential faults several weeks in advance. For example, in Example 3, multi-dimensional data analysis and advanced technology are combined. Compared with the control example, the fault is not discovered until it is already serious, which greatly improves the reliability of equipment operation and extends the service life of the equipment.

[0023] 6. Optimized operation and maintenance management decisions: A large amount of real-time, accurate data and analysis reports help operation and maintenance personnel to formulate more reasonable maintenance plans. For example, according to the data in Examples 1-3, maintenance time and resources can be reasonably arranged, which improves the scientificity and accuracy of operation and maintenance management.

[0024] 7. Ensure safe and stable power generation: timely discover oil problems and equipment failures, avoid shutdown accidents caused by EH fire-resistant oil quality problems, ensure continuous and stable power production, and improve the power supply reliability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall composition of the system of the present invention;

[0026] Figure 2 It is a schematic diagram of the composition of the lower computer acquisition unit in the data acquisition module of the present invention;

[0027] Figure 3 It is a schematic diagram of the composition of the oil circulation unit in the present invention;

[0028] Figure 4 It is a schematic diagram of the composition of the communication unit in the present invention;

[0029] Figure 5 It is a schematic diagram of the composition of the upper computer unit in the present invention;

[0030] Figure 6 It is a schematic diagram of the types of sensors in the online oil product monitoring and analysis system of the present invention;

[0031] Figure 7 It is a schematic diagram of the composition of the system in the present invention;

[0032] Figure 8It is a schematic diagram of the composition of the field data acquisition module in the present invention;

[0033] Fig. 9 It is a schematic diagram of the oil monitoring technical parameters in the present invention;

[0034] Fig.10 It is a schematic diagram of the oil monitoring function in the present invention. DETAILED DESCRIPTION

[0035] With the continuous development of the power industry, the stable operation of the EH fire-resistant oil system of the power plant turbine is crucial to the safety and efficient power generation of the unit. The power plant EH oil online monitoring system of the present invention is designed to monitor the key indicators of the EH fire-resistant oil in real time and accurately, discover potential problems in time, and ensure the normal operation of the unit. The technical scheme and effects of the present invention will be described in detail below through multiple embodiments, comparative examples and experimental examples.

[0036] Embodiment 1:

[0037] System Configuration:

[0038] Field data acquisition module:

[0039] Oil data acquisition station: It uses high-precision, multi-channel data acquisition equipment to simultaneously collect parameters such as oil viscosity, moisture, acid value, dielectric constant, etc.

[0040] Cleanliness monitoring sensor: A high-precision particle counting sensor is used to detect the number and size distribution of tiny particles.

[0041] Oil acid value monitoring sensor: an online sensor based on the principle of acid-base titration, which monitors the changes in the acid value of the oil in real time.

[0042] Oil moisture sensor: uses a thin film capacitive sensor to accurately measure the moisture content in the oil.

[0043] Oil viscosity sensor: A sensor that uses the principle of a rotational viscometer to accurately measure the viscosity of the oil.

[0044] Oil dielectric constant sensor: A sensor based on the capacitance measurement principle that reflects the overall quality of the oil.

[0045] Local server: A high-performance server with large storage capacity and fast data processing capabilities.

[0046] Remote Diagnosis Center: It is composed of professional engineers and experts who obtain monitoring data through network connection for analysis and diagnosis.

[0047] Installation and commissioning:

[0048] On-site installation: Select a suitable location to install the sensor and collection station on the oil return pipeline of the steam turbine EH fire-resistant oil system. Ensure that the installation is firm and the connecting pipeline is well sealed to avoid oil leakage.

[0049] Debugging: After the system is installed, initial settings and calibration are performed. By injecting standard oil samples, each sensor is calibrated to ensure the accuracy of the measurement data.

[0050] Operation and monitoring:

[0051] Real-time monitoring: After the system is put into operation, various parameters of EH fire-resistant oil are collected in real time and the data is transmitted to the local server.

[0052] Data analysis: The local server analyzes the collected data in real time and generates trend charts and reports. When the data exceeds the set threshold, an alarm signal is issued.

[0053] Maintenance and management:

[0054] Clean and calibrate sensors regularly, check the stability of data transmission lines, perform data backup and system maintenance on local servers to ensure data security and system reliability.

[0055] Embodiment 2:

[0056] System Configuration:

[0057] Field data acquisition module:

[0058] Oil data acquisition station: Use more advanced integrated data acquisition equipment with more powerful data processing capabilities and higher sampling frequency.

[0059] Cleanliness monitoring sensor: A sensor based on the principle of laser scattering to improve the accuracy and resolution of particle detection.

[0060] Oil acid value monitoring sensor: The sensor adopts the principle of electrochemical analysis to shorten the response time of acid value measurement.

[0061] Oil moisture sensor: Use fiber optic moisture sensor to enhance sensitivity to changes in moisture content.

[0062] Oil viscosity sensor: Use a vibrating viscosity sensor to provide faster and more accurate viscosity measurement.

[0063] Oil dielectric constant sensor: This sensor uses a new type of microwave measurement technology to improve the stability of dielectric constant measurement.

[0064] Local server: Adopt cloud server architecture to realize remote storage and access of data, facilitating simultaneous operation and management by multiple users.

[0065] Remote Diagnosis Center: Establish an expert knowledge base and intelligent diagnosis system, combining big data analysis and machine learning algorithms to improve the accuracy and efficiency of diagnosis.

[0066] Installation and commissioning:

[0067] On-site installation: Based on Example 1, optimize the installation layout to reduce pipeline resistance and pressure loss.

[0068] Debugging: Increase testing of system stability and reliability to ensure long-term stable operation in complex industrial environments.

[0069] Operation and monitoring:

[0070] Real-time monitoring: further improve the real-time and accuracy of data collection and achieve data updates in seconds.

[0071] Data analysis: Use more complex data analysis algorithms to mine potential information in the data and provide a more in-depth assessment of oil condition.

[0072] Maintenance and management:

[0073] Introduce an automated maintenance management system to automatically remind maintenance personnel to calibrate and replace sensors based on their usage time and measurement accuracy. Use remote monitoring technology to understand the system's operating status in real time and handle faults in a timely manner.

[0074] Embodiment 3:

[0075] System Configuration:

[0076] Field data acquisition module:

[0077] Oil data collection station: uses customized industrial-grade collection equipment to adapt to harsh environments such as high temperature, high pressure, and strong electromagnetic interference.

[0078] Cleanliness monitoring sensor: A sensor combined with image recognition technology that can intuitively display the morphology and distribution of particles.

[0079] Oil acid value monitoring sensor: A sensor based on the principle of non-destructive testing to measure the acid value without affecting the oil performance.

[0080] Oil moisture sensor: A sensor that uses infrared spectroscopy technology to accurately measure trace amounts of moisture.

[0081] Oil viscosity sensor: Ultrasonic viscosity sensor is used, which is not affected by the color and transparency of the oil.

[0082] Oil dielectric constant sensor: A sensor that uses radio frequency measurement technology to improve the measurement's anti-interference ability.

[0083] Local server: Use distributed server clusters to improve data processing and storage capabilities and scalability.

[0084] Remote Diagnosis Center: Cooperate with many scientific research institutions and universities to continuously update and optimize diagnostic models and algorithms.

[0085] Installation and commissioning:

[0086] On-site installation: According to different types of steam turbine EH fire-resistant oil systems, develop personalized installation plans to ensure the compatibility and adaptability of the system.

[0087] Debugging: Conduct comprehensive system performance testing, including anti-interference ability, data accuracy, response time, etc.

[0088] Operation and monitoring:

[0089] Real-time monitoring: Achieve seamless connection with other monitoring systems in the power plant to share data and information.

[0090] Data analysis: Conduct multi-dimensional data analysis, combining equipment operating conditions and historical data to make more accurate fault predictions and life assessments.

[0091] Maintenance and management:

[0092] Establish a complete quality control system to strictly control the quality of each link of the system. Regularly upgrade and optimize the system to ensure that it always maintains the leading technical level.

[0093] Comparative Example:

[0094] The traditional method of regular manual sampling and analysis is used to monitor EH fire-resistant oil.

[0095] Monitoring process:

[0096] Regular sampling: Take oil samples from the turbine EH fire-resistant oil system at certain time intervals (such as weekly or monthly).

[0097] Laboratory analysis: Send the oil sample to a professional laboratory for analysis of viscosity, moisture, acid value and other items.

[0098] Result feedback: Waiting for the laboratory to issue an analysis report, which usually takes several days or even a week to get the results.

[0099] Problems:

[0100] Untimely monitoring: It is impossible to grasp the changes in the oil status in real time, and problems may occur during the interval between two samplings and not be discovered in time.

[0101] Limited data accuracy: Human errors and environmental factors may exist in the sampling process and laboratory analysis, resulting in insufficient data accuracy.

[0102] Unable to reflect dynamic changes: It can only provide discrete monitoring data and cannot reflect the continuous change trend of oil performance.

[0103] In order to intuitively demonstrate the advantages of the power plant EH oil online monitoring system of the present invention, comparative experiments were conducted on Examples 1-3 and the comparative example, and the experimental results are shown in the following table:

[0104]

[0105] It can be seen from the above data that the online monitoring system of the present invention is significantly superior to the traditional manual sampling and analysis method in terms of data real-time performance, accuracy, fault warning capability, maintenance cost and manpower requirements.

[0106] The purpose of setting embodiments 1, 2, and 3 of the present invention is to present the possibility of the present invention from basic application to advanced and cutting-edge application through gradually progressive technical configuration and optimization, to demonstrate the continuous progress and improvement of technology, to meet the actual needs of power plants of different scales and requirements, to provide users with a variety of choices, to reflect the flexibility and wide applicability of the present invention, to verify the feasibility and effectiveness of the present invention in practical applications from different angles and levels, and to enhance the credibility and persuasiveness of the present invention. The differences between the three embodiments are:

[0107] Example 1 uses common high-precision sensors and conventional data acquisition equipment and server configurations, Example 2 uses more advanced sensor technology, such as cleanliness monitoring sensors based on the principle of laser scattering, acid value monitoring sensors based on the principle of electrochemical analysis, etc., and adopts a cloud server architecture. Example 3 uses customized industrial-grade acquisition equipment, combined with more cutting-edge and unique technologies such as image recognition, non-destructive testing, infrared spectroscopy analysis, ultrasound, radio frequency, etc., and the server adopts a distributed cluster; Example 1 performs conventional installation and calibration, Example 2 optimizes the installation layout, increases system stability and reliability testing, and Example 3 formulates a personalized installation plan and conducts more comprehensive performance testing; Example 1 realizes basic real-time monitoring and data analysis, Example 2 further improves the real-time and accuracy of data acquisition, uses more complex algorithms for in-depth analysis, and Example 3 achieves seamless docking with other monitoring systems, conducts multi-dimensional data analysis and more accurate fault prediction and life assessment; Example 1 performs regular manual maintenance and management, Example 2 introduces an automated maintenance management system, and Example 3 establishes a complete quality control system and regularly upgrades and optimizes.

[0108] In summary, the power plant EH oil online monitoring system of the present invention provides a new, efficient and accurate solution for the monitoring and management of EH fire-resistant oil of steam turbines in power plants.

[0109] Through the demonstration of Examples 1-3, we clearly see the continuous progress of the system in terms of technology application, performance optimization and function expansion. From the infrastructure and function realization laid by Example 1, to the more advanced technology and cloud service architecture introduced in Example 2, to the cutting-edge customized equipment and in-depth data analysis adopted in Example 3, the system's monitoring capability, response speed, data accuracy, fault prediction capability and compatibility with other systems have been significantly improved.

[0110] The advantage of this online monitoring system is not only reflected in the real-time and accurate monitoring of various oil parameters, but more importantly, it can convert monitoring data into valuable information to provide decision-making support for operation and maintenance personnel. Through timely fault warning, measures can be taken at the budding stage of the problem to avoid serious damage to the equipment and interruption of production. At the same time, the system's automation and intelligent maintenance management functions have greatly reduced labor costs and maintenance difficulties, and improved work efficiency.

[0111] In the context of the increasing reliability and stability requirements for power production today, the online monitoring system of the present invention is of great significance. It can not only ensure the safe and stable operation of power plants, improve power generation efficiency and quality, but also save a lot of maintenance costs and potential economic losses for enterprises. With the continuous development and innovation of technology, it is believed that this system will continue to be improved and optimized, more closely integrated with the development needs of the power industry, and play a greater role in promoting the intelligent and efficient development of the power industry.

[0112] In addition, the comparison with the traditional monitoring method further highlights the superiority and innovation of the present invention. In the future, we expect this technology to be widely used in more power plants, injecting strong impetus into the sustainable development of the power industry and making greater contributions to ensuring the national energy supply and the safe and stable operation of the power grid.

[0113] The embodiments of the present invention are given for the purpose of illustration and description, and are not intended to be exhaustive or to limit the invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

Claims

1. An online monitoring system for EH oil in a power plant, characterized by: Includes on-site data acquisition module, local server and remote diagnosis center; The field data acquisition module includes an oil data acquisition station, a cleanliness monitoring sensor, an oil acid value monitoring sensor, an oil moisture sensor, an oil viscosity sensor, an oil dielectric constant sensor and a signal transmission cable. The oil system is monitored by installing an online cleanliness monitoring sensor and an oil quality monitoring sensor in the EH fire-resistant oil circuit. Signal cables are used to transmit the unit operation data to the online status monitoring system collector. The front-end collected data is sent to the local server in the central control room for processing and storage through the communication network, and preliminary data analysis and diagnosis are performed. For alarm data, VPN is used to transmit the data to the remote diagnosis center to ensure the safe operation of the equipment.

2. The power plant EH oil online monitoring system according to claim 1, characterized in that: The lower computer acquisition unit in the field data acquisition module is mainly composed of an oil online acquisition system, a power supply system, and a control panel system.

3. The power plant EH oil online monitoring system according to claim 1, characterized in that: The oil circulation unit in the field data acquisition module is mainly composed of an oil intake port, an oil intake pipeline, an oil inlet, an internal oil pipeline, an oil outlet, an oil return pipeline, an oil return port and related oil pumps to complete the circulation of oil.

4. The power plant EH oil online monitoring system according to claim 1, characterized in that: The communication unit in the field data acquisition module is mainly composed of a power line, a 485 signal line or an Ethernet line to complete the data transmission of the oil online monitoring system.

5. The power plant EH oil online monitoring system according to claim 1, characterized in that: The host computer unit in the field data acquisition module is mainly composed of a database, a server, a workstation, a display, and an expert diagnosis. The host computer software performs real-time analysis on the collected data. The real-time data is intuitively displayed through the data client of the display at one end, and is transmitted to the expert diagnosis center through the network at the other end for more detailed and professional analysis.

6. The power plant EH oil online monitoring system according to claim 1, characterized in that: The sensors used in the online oil monitoring and analysis system include a cleanliness detection sensor, an acid value sensor, a viscosity detection sensor, a moisture detection sensor and a dielectric constant detection sensor. The detection principle of the dielectric constant detection sensor is the tuning fork resonance principle, and the detection principle of the moisture detection sensor is the thin film capacitor principle.

7. The power plant EH oil online monitoring system according to claim 1, characterized in that: The oil monitoring technical parameters include: Relative moisture content is 0-100%, with an accuracy of ±2%; The micro-water monitoring range is 0-5000ppm, with an accuracy of ±10% of the range; The kinematic viscosity of the oil is 1-1000Cst, with an accuracy of ±5% or 5Cst; The pollution degree is 4, 6, 14, 21, 38, 50, 70, 100um, and the accuracy is ±0.5ISO code; Acid value ≤0.5mgKOH / g (need to be calibrated), accuracy is ±5%; The oil dielectric constant is 1-6ε, and the accuracy is ±3% of the range; The oil temperature is -40~+85℃, with an accuracy of ±2%; The working environment temperature is -40~+85℃, the humidity is 0-98%RH (non-condensing), the fluid pressure is ≤15bar, and the fluid velocity is 50-500mL / min; The electrical parameters are power supply 24VDC8W, and the communication method is RS485Modbus, TCP / IP.

8. The power plant EH oil online monitoring system according to claim 1, characterized in that: The system software has an oil monitoring function, including oil quality historical analysis and oil moisture historical analysis. The corresponding interface is entered through the software function navigation bar, the equipment number and time period are selected, and the historical graph is drawn for trend analysis.

9. The power plant EH oil online monitoring system according to claim 1, characterized in that: The data management function of the system includes the use of time-triggered and alarm-triggered data acquisition technology to ensure data storage strategy. The central server is equipped with Raid5 data automatic backup function. The system has an open database structure and users can query unit data.

10. The power plant EH oil online monitoring system according to claim 1, characterized in that: The integrated data collection control box is planned to be installed using the oil inlet at the bottom of the oil tank of the steam turbine EH fire-resistant oil system. A three-way valve is made at the reserved opening at the bottom of the oil tank. When the oil pump is operating, the oil in the tank will be diverted to the integrated and oil information collection box, and finally flow through the three-way valve above the oil tank back to the oil tank.

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