A monitoring and early warning method and system for a hydraulic turbine turbine oil system

Abstract

The application discloses a kind of water turbine turbine oil system's monitoring early warning system, including central processing unit, the central processing unit is connected with machine oil detection module, bearing oil block detection module;The application also discloses a kind of water turbine turbine oil system's monitoring early warning method, comprising the following steps: S1, in the oil system elbow, weld, flange, joint, bearing oil block installation machine oil detection module.The early warning system in the application detects temperature, oil leakage, open fire and illegal construction, smoking and other conditions, feeds back and alarms to abnormal conditions, effectively prevents the oil system from catching fire, effectively and timely controls and extinguishes abnormal or fire accidents, controls abnormal or fire in the initial stage, controls the danger to the lowest limit, ensures the normal operation or safe shutdown of unit.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of water turbine oil system monitoring and early warning, and in particular to a water turbine oil system monitoring and early warning method and system. BACKGROUND

[0002] In line with the principle of "safety first, prevention first, comprehensive management", the principle of combining defense and rescue is adhered to, the prediction and prevention of critical events are focused on, the fast and accurate handling of critical event processes is targeted, the safety of personnel, power grids and equipment is ensured, the long-term management and emergency handling mechanism of critical events is established, and the fire loss of the water turbine oil system is reduced to the minimum.

[0003] Once a fire occurs in the water turbine oil system and is out of control, emergency treatment and fire extinguishing measures must be taken, and in special cases, emergency shutdown will cause large-scale power outages in the area, which will have a serious impact on production and life. The purpose of formulating this plan is to prevent problems from occurring, and to start this plan as soon as such a fire accident occurs, so that the fire accident can be effectively and timely controlled and extinguished, the fire can be controlled in the initial stage, and the danger can be controlled to the minimum, ensuring normal operation or safe shutdown of the unit.

[0004] Therefore, it is very important to monitor and early warn the water turbine oil system. SUMMARY

[0005] The present application relates to the field of water turbine oil system monitoring and early warning, and in particular to a water turbine oil system monitoring and early warning method and system.

[0006] To achieve the above object, the present application adopts the following technical scheme:

[0007] A kind of monitoring and early warning system of hydraulic turbine turbine oil system, including central processing unit, machine oil detection module, bearing oil block detection module, video monitoring module, oil temperature detection module, open fire monitoring module, information transmission module, data analysis module, alarm module, data storage module and data query module are connected on the central processing unit, the machine oil detection module, bearing oil block detection module, video monitoring module, oil temperature detection module, open fire monitoring module are connected with information transmission module, the information transmission module is connected with data analysis module, data analysis and alarm module and data storage module are connected, the data storage module is connected with data query module.

[0008] Preferably, the machine oil detection module includes oil sensor, odor sensor, oil quantity sensor, the oil sensor is used to detect whether there is machine oil leakage in oil system, the odor detection module is used to detect the smell after machine oil leakage in oil system, the oil quantity sensor is used to detect the amount of machine oil leakage in oil system to determine whether to stop maintenance.

[0009] Preferably, the bearing oil block detection module includes oil sensor, odor sensor and temperature sensor, the oil sensor is used to detect whether there is machine oil leakage at bearing oil block, the odor detection module is used to detect the smell after machine oil leakage at bearing oil block, the temperature sensor is used to detect whether there is temperature anomaly at bearing oil block, which exists potential danger of machine oil combustion.

[0010] Preferably, the video monitoring module includes flame recognition camera and machine oil combustion odor sensor, the flame recognition camera is used to identify whether there is open fire in oil system, the machine oil combustion odor sensor is used to detect the smell of machine oil combustion to assist the flame recognition camera to monitor more accurately.

[0011] Preferably, the data storage module includes storage and automatic search terminal, the automatic search terminal is connected with local area network, to realize searching and calling stored data;The storage is used to store the information of optimal processing method searched by automatic search terminal.

[0012] Preferably, the data query module includes web terminal, WeChat applet and mobile phone app, the web terminal can be logged in and queried by entering account through mobile phone, tablet computer, computer webpage, the WeChat applet can be logged in and queried by binding login through WeChat personal account, and the mobile phone app can be logged in and queried through WeChat and mobile phone number.

[0013] Preferably, the alarm module comprises an audible and light alarm installed in the oil system to remind the staff, a telephone ringing unit to remind the staff in the form of short message or telephone, and an alarm form unit to remind the staff according to the form of oil leakage or open fire in the oil system.

[0014] Preferably, the central processor is further connected with an electrostatic elimination module connected with the information transmission module, which is used for detecting the oil tank and valve fire-sensitive area to avoid electrostatic fire caused by too fast flow rate during operation.

[0015] Preferably, the central processor is further connected with an oil pressure detection module connected with the information transmission module, which is used for detecting whether there is overpressure of the oil pipe caused by unit runaway to prevent the oil pipe from being broken and spouted to the hot body to cause fire.

[0016] The application further discloses a monitoring and early warning method of the turbine oil system.

[0017] S1, installing a machine oil detection module at the elbow, weld, flange, joint and bearing oil block of the oil system and installing a bearing oil block detection module at the bearing oil block, so that whether the machine oil leaks from the elbow, weld, flange, joint and bearing oil block of the oil system can be detected by the machine oil detection module, and whether the temperature of the bearing oil block is abnormal and whether the machine oil smells at the bearing oil block can be detected by the bearing oil block detection module;

[0018] S2, whether there is illegal construction, smoking in the no-smoking area, collision and friction to cause open fire and fire, and whether there is the smell of machine oil caused by open fire in the oil system and the surrounding area can be detected by the video monitoring module to assist the flame recognition camera to monitor more accurately;

[0019] S3, the electrostatic elimination module is used for detecting the oil tank and valve fire-sensitive area to avoid electrostatic fire caused by too fast flow rate during operation.

[0020] S4, whether there is open fire in the oil system can be detected by the open fire monitoring module.

[0021] S5, whether the oil temperature in the oil system exceeds the reasonable oil temperature range can be detected by the oil temperature detection module.

[0022] S6, the data obtained by the oil detection module, bearing oil baffle detection module, video monitoring module, oil temperature detection module, open fire monitoring module in S1-S4 is transmitted to the information transmission module, the information transmission module transmits the data to the data analysis module, the data analysis module analyzes the obtained data, if the obtained data is safe, the data is transmitted to the data storage module for storage, if the data is abnormal, the information is transmitted to the alarm module, the alarm module provides alarm information for the staff, and the alarm information, obtained data and abnormal information are transmitted to the data storage module;

[0023] S7, the data stored in the data storage module, the historical data of the oil system, the historical data of the abnormal information and the alarm information can be inquired through the data inquiry module.

[0024] Compared with the prior art, the present application has the following advantages:

[0025] 1, the early warning system of the present application detects the temperature, oil leakage, open fire, and illegal construction, smoking and the like of the oil system, feeds back and alarms the abnormal conditions, effectively prevents the oil system from catching fire, effectively and timely controls and extinguishes the abnormal or fire accident, controls the abnormal or fire accident in the initial stage, controls the danger degree to the minimum limit, and ensures the normal operation or safe shutdown of the unit.

[0026] 2, the static electricity conducting module is used for detecting the oil tank and valve fire sensitive area, so as to avoid static electricity fire caused by too fast flow rate during operation.

[0027] 3, the oil pressure detection module is used for detecting whether there is oil pipe overpressure caused by unit runaway, so as to prevent the oil pipe from being broken and sprayed on the hot body to cause fire.

[0028] As described above, the early warning system of the present application detects the temperature, oil leakage, open fire, and illegal construction, smoking and the like of the oil system, feeds back and alarms the abnormal conditions, effectively prevents the oil system from catching fire, effectively and timely controls and extinguishes the abnormal or fire accident, controls the abnormal or fire accident in the initial stage, controls the danger degree to the minimum limit, and ensures the normal operation or safe shutdown of the unit. BRIEF DESCRIPTION OF DRAWINGS

[0029] Figure 1 A module diagram of the monitoring and early warning method and system of the turbine oil system for example 1 is provided.

[0030] Figure 2A module diagram at the oil detection module in a monitoring and early warning method and system for a turbine oil system of a hydraulic turbine proposed in Embodiment 1;

[0031] Figure 3 A module diagram at the alarm module in a monitoring and early warning method and system for a turbine oil system of a hydraulic turbine proposed in Embodiment 1;

[0032] Figure 4 A module diagram of a monitoring and early warning method and system for a turbine oil system of a hydraulic turbine proposed in Embodiment 2;

[0033] Figure 5 A module diagram of a monitoring and early warning method and system for a turbine oil system of a hydraulic turbine proposed in Embodiment 2. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the present application will be apparently and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments.

[0035] Embodiment 1

[0036] Reference Figure 1 A monitoring and early warning system for a turbine oil system of a hydraulic turbine includes a central processor, an oil detection module, a bearing oil block detection module, a video monitoring module, an oil temperature detection module, an open fire monitoring module, an information transmission module, a data analysis module, an alarm module, a data storage module, and a data query module, which are based on the central processor for data detection and transmission.

[0037] The central processor is connected with the oil detection module, the bearing oil block detection module, the video monitoring module, the oil temperature detection module, the open fire monitoring module, the information transmission module, the data analysis module, the alarm module, the data storage module, and the data query module. The oil detection module, the bearing oil block detection module, the video monitoring module, the oil temperature detection module, the open fire monitoring module, and the information transmission module are connected. The oil detection module includes an oil sensor, an odor sensor, and an oil quantity sensor. The oil sensor is used to detect whether there is oil leakage in the oil system. The odor detection module is used to detect the smell after oil leakage in the oil system. The oil quantity sensor is used to detect the amount of oil leakage in the oil system to determine whether to stop and maintain. The bearing oil block detection module includes an oil sensor, an odor sensor, and a temperature sensor. The oil sensor is used to detect whether there is oil leakage at the bearing oil block. The odor detection module is used to detect the smell after oil leakage at the bearing oil block. The temperature sensor is used to detect whether there is temperature abnormality at the bearing oil block, which indicates a potential danger of oil combustion. The bearing oil block detection module detects the temperature at the bearing oil block. When the temperature at the bearing oil block is high, information is transmitted to prevent oil leakage at the bearing oil block from causing open fire.

[0038] The video monitoring module comprises a flame identification camera and an oil combustion odor sensor, the flame identification camera is used for identifying whether there is an open fire in the oil system, and the oil combustion odor sensor is used for detecting the odor of oil combustion to assist the flame identification camera to monitor more accurately; The data storage module comprises a storage and an automatic search terminal, the automatic search terminal is connected with a local area network, and searching and calling of the stored data are realized; The storage is used for storing the information of the best processing method searched by the automatic search terminal

[0039] The information transmission module is connected with the data analysis module, the information transmission module transmits information based on a 5G network; The data analysis and alarm module and the data storage module are connected, the alarm module comprises an audible and visual alarm, a telephone ringing unit and an alarm form unit, the audible and visual alarm is installed in the oil system to remind the staff, the telephone ringing unit reminds the staff in the form of a short message or a telephone call, and the alarm form unit can remind the staff according to the form of oil leakage and open fire in the oil system; The data storage module is a fixed hard disk; The data storage module is connected with a data query module, the data query module comprises a web terminal, a WeChat applet and a mobile phone app, the web terminal can be logged in and queried through a mobile phone, a tablet computer and a computer webpage, the WeChat applet can be logged in and queried through a WeChat personal account, and the mobile phone app can be logged in and queried through WeChat and a mobile phone number.

[0040] Embodiment 2

[0041] With reference to Figure 4 Different from embodiment 1, the embodiment further comprises an electrostatic discharge module connected to the central processor, the electrostatic discharge module is connected with the information transmission module, and the electrostatic discharge module is used for detecting the oil tank and the valve fire-sensitive area to avoid static fire caused by too fast flow rate during operation.

[0042] Embodiment 3

[0043] With reference to Figure 5 Different from embodiments 1 and 2, the embodiment further comprises an oil pressure detection module connected to the central processor, the oil pressure detection module is connected with the information transmission module, and the oil pressure detection module is used for detecting whether there is an oil pipe overpressure caused by unit runaway to prevent the oil pipe from being broken and spouted to the hot body to cause fire.

[0044] The application further discloses a monitoring and early warning method of a hydraulic turbine turbine oil system.

[0045] S1, install the oil detection module at the oil system elbow, welding, flange, joint, bearing oil baffle, and install the bearing oil baffle detection module at the bearing oil baffle, through the oil detection module, whether the oil system elbow, welding, flange, joint, bearing oil baffle leaks oil can be detected, through the bearing oil baffle detection module, whether the bearing oil baffle is temperature abnormal, whether the bearing oil baffle has oil smell;

[0046] S2, through the video monitoring module, whether there is illegal construction in the oil system and nearby, smoking in the no-smoking area, collision and friction causing fire, and detecting the smell of oil generated by the fire, assisting the flame recognition camera to monitor more accurately;

[0047] S3, the static electricity removal module is used for detecting the oil system and the valve fire sensitive area, avoiding the static electricity fire caused by too fast flow rate during operation;

[0048] S4, through the fire monitoring module, whether there is fire in the oil system;

[0049] S5, through the oil temperature detection module, whether the oil temperature in the oil system exceeds the reasonable oil temperature range;

[0050] S6, the data obtained by the oil detection module, the bearing oil baffle detection module, the video monitoring module, the oil temperature detection module and the fire monitoring module in S1-S4 are transmitted to the information transmission module, the information transmission module transmits the data to the data analysis module, the data analysis module analyzes the obtained data, if the obtained data is safe, the data is transmitted to the data storage module for storage, if the data is abnormal, the information is transmitted to the alarm module, the alarm module provides alarm information for the staff, and the alarm information, the obtained data and the abnormal information are transmitted to the data storage module;

[0051] S7, through the data query module, the historical data of the oil system, the historical data of the abnormal information and the alarm information of the oil system in the data storage module can be queried.

[0052] The above is only the preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any skilled person in the art can make equivalent replacement or change according to the technical scheme and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered in the protection scope of the present application.

Claims

1. A monitoring and early warning system for a hydraulic turbine oil system, characterized in that The application relates to a central processing unit connected with a machine oil detection module, a bearing oil baffle detection module, a video monitoring module, an oil temperature detection module, an open fire monitoring module, an information transmission module, a data analysis module, an alarm module, a data storage module and a data query module, wherein the machine oil detection module, the bearing oil baffle detection module, the video monitoring module, the oil temperature detection module and the open fire monitoring module are connected with the information transmission module; the information transmission module is connected with the data analysis module; the data analysis module is connected with the alarm module and the data storage module; the data storage module is connected with the data query module; the machine oil detection module comprises an oil liquid sensor, an odor sensor and an oil quantity sensor; the oil liquid sensor is used for detecting whether machine oil leaks in an oil system; the odor sensor is used for detecting the smell of the machine oil after the machine oil leaks in the oil system; and the oil quantity sensor is used for detecting the quantity of the machine oil leaked in the oil system to determine whether to stop and maintain; the bearing oil baffle detection module comprises an oil liquid sensor, an odor sensor and a temperature sensor; the oil liquid sensor is used for detecting whether machine oil leaks at a bearing oil baffle; the odor sensor at the bearing oil baffle is used for detecting the smell of the machine oil after the machine oil leaks at the bearing oil baffle; and the temperature sensor is used for detecting whether the temperature at the bearing oil baffle is abnormal, and whether there is a potential danger of machine oil combustion; the video monitoring module comprises a flame recognition camera and a machine oil combustion odor sensor; the flame recognition camera is used for identifying whether there is open fire in the oil system; and the machine oil combustion odor sensor is used for detecting the smell of the machine oil combustion, thereby assisting the flame recognition camera to more accurately monitor. The application further comprises an electrostatic conduction removal module connected with the central processing unit; the electrostatic conduction removal module is connected with the information transmission module; the electrostatic conduction removal module is used for detecting fire-sensitive areas of oil tanks and valves, and avoiding electrostatic fire caused by too fast flow speed during operation. The application further comprises an oil pressure detection module connected with the central processing unit; the oil pressure detection module is connected with the information transmission module; the oil pressure detection module is used for detecting whether there is oil pipe overpressure caused by unit runaway, and preventing the oil pipe from being broken and spouted to a hot body to cause fire.

2. A monitoring and early warning system for a hydraulic turbine oil system according to claim 1, characterized in that The data storage module comprises a memory and an automatic search terminal; the automatic search terminal is connected with a local area network, and the stored data can be searched and called; and the memory is used for storing the information of the best treatment method searched by the automatic search terminal.

3. A monitoring and warning system for a hydraulic turbine oil system according to claim 1, characterized in that The data query module comprises a web terminal, a WeChat applet and a mobile phone app; the web terminal can be logged in and queried through a mobile phone, a tablet computer or a computer webpage; the WeChat applet can be logged in and queried through a WeChat personal account; and the mobile phone app can be logged in and queried through WeChat or a mobile phone number.

4. The monitoring and warning system for a hydraulic turbine oil system according to claim 1, characterized in that The alarm module comprises an audible and visual alarm, a telephone ringing unit and an alarm form unit; the audible and visual alarm is installed in the oil system to remind workers; the telephone ringing unit reminds workers in the form of a short message or a telephone call; and the alarm form unit can remind workers according to the form of oil leakage and open fire in the oil system.

5. A method for monitoring and early warning of a hydraulic turbine oil system, characterized in that The application comprises the following steps: S1, install the oil detection module at the oil system elbow, weld, flange, joint, bearing oil baffle, and install the bearing oil baffle detection module at the bearing oil baffle. The oil detection module can detect whether the oil system elbow, weld, flange, joint, and bearing oil baffle leak oil. The bearing oil baffle detection module can detect whether the bearing oil baffle temperature is abnormal and whether there is oil smell at the bearing oil baffle; S2, through the video monitoring module, it can be known whether there is illegal construction in the oil system and nearby, smoking in the no-smoking area, collision and friction causing fire, and detecting the smell of oil caused by fire, which can assist the flame recognition camera to monitor more accurately; S3, the static electricity conducting module is used to detect the fire sensitive area of the oil tank and valve, to avoid static electricity fire caused by too fast flow rate during operation; S4, through the open fire monitoring module, it can be known whether there is open fire in the oil system; S5, through the oil temperature detection module, it can be known whether the oil temperature in the oil system exceeds the reasonable oil temperature range; S6, the data obtained by the oil detection module, bearing oil baffle detection module, video monitoring module, oil temperature detection module, and open fire monitoring module in S1-S4 are transmitted to the information transmission module. The information transmission module transmits the data to the data analysis module. The data analysis module analyzes the obtained data. If the data is safe, it is transmitted to the data storage module for storage. If the data is abnormal, the information is transmitted to the alarm module. The alarm module provides alarm information for the staff, and transmits the alarm information, obtained data, and abnormal information to the data storage module; S7, through the data query module, the historical data of the oil system, the historical data of the abnormal information and the alarm information of the oil system, and the time can be queried in the data storage module.

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