424 results about "Oil quality" patented technology

The invention relates to the technical field of machine vision image analysis, in particular to a lubricating oil abrasive particle quality analysis method and system based on machine vision, and the method comprises the steps: obtaining a thickness distribution diagram of an oil residual layer on the surface of an abrasive particle through a gray ratio relation between a first transmission image and a second transmission image; performing optical compensation on the first transmission image to obtain a final compensation image, and performing phase consistency edge detection to obtain an abrasive particle edge enhanced image; calculating the polarization reflectivity ratio of each abrasive particle area; extracting the mirror reflection intensity difference of each abrasive particle in the abrasive particle edge enhanced image; and when the abrasive particles are analyzed as metal attributes according to the polarization reflectivity ratio and the specular reflection intensity difference, identifying the morphological characteristic parameters of the abrasive particles, matching the morphological characteristic parameters with a pre-stored abrasive particle wear characteristic library, and outputting a quality evaluation report of the lubricating oil according to a matching result. The influence of oil film interference is effectively inhibited, the metal particles are accurately distinguished, and high-precision analysis on the lubricating oil abrasive particles is realized.

The invention belongs to the technical field of hydroelectric generating set monitoring, and relates to a water turbine bearing temperature and lubricating oil state monitoring and fault diagnosis method and system. According to the method, triple-redundancy temperature measurement values of a water turbine bearing are adopted, multiple parameters are fused, redundancy design is adopted, sensor failure diagnosis is executed, a temperature-vibration-oil pressure combined feature space is constructed according to the triple-redundancy temperature measurement values and online oil quality parameters, a fault propagation map is established, and the fault propagation map is analyzed. And finally, based on the multi-level diagnosis model and in combination with the fault propagation atlas, composite fault mode recognition is realized, a fault classification result is obtained, and the composite fault mode recognition is realized based on the multi-level diagnosis model, so that the problems of low reliability, single monitoring dimension and insufficient fault recognition capability of a sensor in the prior art are effectively solved. And the equipment reliability and the operation safety are obviously improved.

The invention discloses a lubricating oil quality on-line monitoring system, and relates to the technical field of lubricating oil quality detection.The system comprises a photoacoustic spectrum detection module which is composed of a modulation light source, a sample pool, a photoacoustic signal detection component and a signal processing component. The photoacoustic spectrum detection module is used for accurately analyzing components such as impurities and oxidation products in the lubricating oil from the microscopic chemical composition level, and the self-adaptive optical imaging module is used for acquiring high-resolution images of the impurities in the lubricating oil in real time and revealing the quantity, size, shape and spatial distribution condition of the impurities; richer and more accurate data support is provided for the evaluation of the quality of the lubricating oil, and the change of the quality of the lubricating oil and the potential abrasion problem of equipment can be found in time.

The invention belongs to the technical field of emulsified oil recovery, and particularly relates to a method for recovering emulsified oil generated by preparing an alumina carrier through an oil column forming process. The emulsified oil recovery method comprises the following steps: adding ammonia water into emulsified oil, stirring, preserving heat, centrifuging, collecting upper-layer floating oil A, and removing bottom-layer water and impurities to obtain a first-stage emulsion; adding ammonia water into the primary emulsion, heating by using a heat source until the temperature is higher than 100 DEG C, then stopping heating to obtain a demulsified primary emulsion system, carrying out centrifugal treatment, collecting upper-layer floating oil B, removing bottom-layer water and impurities, and remaining a secondary emulsion; combining the collected upper-layer floating oil A and the collected upper-layer floating oil B, distilling and removing water to obtain an oil body A; carrying out vacuum distillation on the secondary emulsion to remove water, and centrifuging to remove impurities at the bottom layer to obtain an oil body B; and finally, combining the oil body A and the oil body B to obtain recovered oil. The method does not need to add organic auxiliaries such as a demulsifier, the recovery process is simple and easy to control, the treatment temperature is low, the recovered oil quality is good, and the recovery rate is high.

The invention relates to the technical field of physical property analysis, in particular to a rapeseed oil quality detection method and device and a storage medium. Determining Raman spectrum data of the rapeseed oil sample based on the oleic acid concentration and the erucic acid concentration; determining a peak intensity contribution coefficient based on the Raman spectrum data; based on the oleic acid concentration, the erucic acid concentration and the peak intensity contribution coefficient, constructing a rapeseed oil quality detection model; and performing quality detection on Raman peak characteristics of to-be-predicted rapeseed oil based on the rapeseed oil quality detection model to obtain a detection result of the to-be-predicted rapeseed oil. According to the method, the prediction precision of the rapeseed oil quality is improved.

The present invention discloses an intelligent multi-parameter oil quality monitoring device, comprising: a housing with a detection end and an output end at both ends, a resonant cavity and a detection cavity are arranged inside the housing, a particle detection channel and an oil port are provided on the housing; a monitoring component, including a sensing circuit module, a tuning fork resonance sensor, a temperature sensor and a microfluidic chip, the tuning fork resonance sensor includes a quartz tuning fork, the microfluidic chip includes a capacitor, and the capacitor includes electrode plates. This intelligent multi-parameter oil quality monitoring device integrates the temperature sensor, the tuning fork resonance sensor and the microfluidic chip inside the housing. By installing the housing on the oil pipe, multiple parameters such as the viscosity, dielectric constant, temperature, abrasive particle size, density, etc. in the oil can be monitored simultaneously, so as to accurately judge the oil quality, avoid false alarms, and perform data transmission through the sensing circuit module, with high integration, small volume and strong anti-interference ability.

The invention relates to the technical field of hygienic products, and discloses an intelligent monitoring method and management system for ship pollutant discharge, and the method comprises the following steps: S1, collecting cabin equipment operation parameters and pollutant discharge data through a multi-source sensor network; s2, an early warning threshold value is dynamically calculated based on the environment working condition and the load state; s3, evaluating the health state of the equipment and predicting potential faults; s4, judging the pollutant discharge compliance; s5, executing a multi-stage control strategy according to evaluation and judgment results; in the step S1, the equipment operation parameters at least comprise temperature, pressure, vibration frequency and oil quality indexes. According to the invention, by integrating various sensors and intelligent processing algorithms, real-time monitoring and dynamic adjustment of ship pollutant emission are realized, and ship emission compliance is ensured; meanwhile, the system can evaluate the health state of the equipment in real time, predict potential faults in advance and automatically execute multi-stage response measures, so that the safety, the environmental protection property and the operation efficiency of the ship are improved.

The invention relates to the technical field of monitoring of related equipment of a wind driven generator, in particular to a wind driven generator gear box oil product monitoring method and system, equipment and a medium, and the method mainly comprises the steps that basic parameters are analyzed through an oil product fault diagnosis model, and a result whether current oil is qualified or not is output; and correcting the acquisition frequency of the current sensing module according to a result output by the oil product fault diagnosis model and an acquisition frequency correction model, and outputting a current early warning level according to a comprehensive evaluation value. Traditional off-line detection is changed into real-time on-line monitoring, real-time monitoring of the lubrication state can be achieved, abnormal changes of grease performance can be found in time, a basis is provided for preventive maintenance, through continuous monitoring and data analysis, the health condition of the gearbox can be evaluated more accurately, the maintenance period and strategy can be optimized, the maintenance cost is reduced, and the maintenance efficiency is improved. The frequency of manual sampling and off-line analysis can be reduced, and the operation cost and potential safety hazards are reduced.

The invention discloses a stacked oil support and progressive squeezing cooperation device, and relates to the field of squeezing equipment. A stacked oil support and progressive squeezing cooperation device comprises a collecting barrel and further comprises a material barrel rotationally connected into the collecting barrel, the upper end of the material barrel is open, the inner diameter of the material barrel is sequentially increased from top to bottom, a plurality of sets of filter holes communicated with the collecting barrel are formed in the material barrel at equal intervals, and the filter holes are communicated with the collecting barrel. Each group of filter holes are circumferentially distributed on the charging barrel at equal intervals; the pressure applying disc and the charging barrel are coaxially arranged; through the arrangement that the inner diameter of the charging barrel is small in the upper portion and large in the lower portion, oil separation and discharge are promoted through cooperation with centrifugal force generated by rotation of the air bag, the pressing disc and the charging barrel, the oil extraction rate and efficiency are greatly improved, and when the air bag is overpressure, high-speed airflow sprayed out of the air spraying holes can impact oil agglomeration, promote grease interface updating, reduce viscosity and assist heat dissipation; the oil yield is improved, and the oil quality is guaranteed.

The invention relates to the technical field of lubricating oil quality monitoring, in particular to a lubricating oil quality on-line monitoring system and method, and the system comprises a data collection module which collects lubricating oil parameters in real time through a sensor array; the communication transmission module is used for constructing a data flow network and supporting multi-level interaction; the data analysis and diagnosis module is used for realizing state evaluation and fault early warning; the user interaction and visualization module provides a human-computer interaction interface and decision support; and the intelligent decision module realizes monitoring-maintenance closed-loop control, gives an alarm in time and realizes full-link intelligent control triggered by a maintenance action. According to the method, the prediction precision and the early warning capability of the degradation trend of the oil system are effectively improved through the improved autoregression moving average model, the real-time state of the oil is accurately reflected by dynamically adjusting the alarm threshold value, and the fault positioning precision is greatly improved through the space matching algorithm.

The invention provides an automatic inventory management system for an oil tank truck, and relates to the technical field of control and regulation systems, and the system can quickly and reasonably respond to guarantee system safety and oil quality through a graded water level alarm strategy when sealing leakage risks of different degrees occur to a tank body; the sealing leakage influence factor generation module comprehensively evaluates the sealing state of the tank body and detects the leakage risk by collecting multiple parameters such as air pressure difference, humidity and VOC concentration; the target wave-proof partition plate determination module dynamically adjusts an oil product monitoring mode according to the real-time inclination data, and overcomes measurement errors caused by inclination; the fluctuation range simulation and comparison module provides an anomaly detection and alarm mechanism through comparative analysis of actual and simulated data; the introduction of the correction index enables the water level alarm strategy to be more targeted and accurate, reduces the false alarm rate, and improves the real-time accuracy and safety of oil inventory management.

The present invention relates to an apparatus for extracting wood oil by a water substitution method, comprising a table top and a supporting frame at the bottom thereof, wherein the table top is partially concave to form a stirring tank, a grinding mechanism for grinding oil and a water injection tank for adding water to the stirring tank are provided on the table top, and a discharge port of the grinding mechanism is located above the stirring tank; a first driving mechanism, a second driving mechanism and a first receiving box are provided inside the supporting frame, a heating device is provided at the bottom of the stirring tank, a stirring rod is provided in the stirring tank, the stirring rod comprises a rotating shaft and spiral blades on the rotating shaft, and the first driving mechanism is used to drive the stirring rod to rotate; a discharge gate is provided on the stirring tank, and the second driving mechanism is used to control the opening degree of the discharge gate; the first receiving box opens upward and is provided below the discharge gate. Compared with the prior art, the present invention provides an apparatus for extracting wood oil by a water substitution method, which has a high degree of automation, saves time and labor, and has controllable process parameters, so that the oil yield is high and the oil quality is good.

Devices, systems, and techniques can be provided for processing an oil-containing material with an alcohol-based solvent to extract oil from the material. In some examples, a system includes a pretreatment dehydration vessel that removes water from the oil-containing material prior to processing the oil-containing material in an extractor to extract oil from the material. An alcohol-based solvent may also be supplied to the dehydration vessel to remove water from the oil-containing material, thereby generating a dehydrated material that can be extracted in a downstream extractor.

The invention relates to the technical field of food quality detection, in particular to a diester oil quality detection method and system based on multi-source data, and the method comprises the steps: collecting multi-source heterogeneous data, carrying out feature extraction and dimension reduction, and generating a quality feature vector; multi-source data fusion is realized through a dynamic weight distribution model, and time sequence quality evaluation data is generated; performing error compensation on the low-confidence data by adopting a self-adaptive correction algorithm, and performing chain verification on the high-confidence data; and through bidirectional consistency verification, optimizing path planning, generating optimization feedback data and finishing final quality confirmation. Through multi-source data fusion, real-time analysis and automatic verification, the accuracy and efficiency of diester oil quality detection are remarkably improved, and the modern industrial intelligent requirement is met.

The invention provides a hybrid power box lubricating oil quality detection method, system and device and a medium, the method is characterized in that an electric signal detection point is arranged on a motor rotating shaft, current and voltage data between the motor shaft and a shell are acquired in real time, and the detected current and the detected voltage are sent to an electronic control unit; the electronic control unit judges whether the quality state of the lubricating oil is normal or not based on the data, and if it is detected that the quality state of the lubricating oil is abnormal, an instrument panel is triggered to give an alarm and the motor is limited to output the rotating speed; according to the method, by detecting the quality state of the lubricating oil, resource waste caused by excessive and frequent replacement of the lubricating oil is avoided, and timely treatment can be ensured when the lubricating oil actually needs to be replaced, so that long-term stable operation of a vehicle is ensured.

The invention relates to the technical field of water and electricity, and discloses an intelligent monitoring method for a speed regulator, which comprises the following steps: arranging a signal acquisition assembly and an execution element, and forming a continuous curve according to time based on signal data acquired by the signal acquisition assembly; wherein the signal data comprises oil pressure, flow, oil temperature, oil level, oil quality, noise, smell, opening degree, current and voltage; executing fault diagnosis early warning according to the continuous curve and / or video data acquired by the infrared camera; and based on a set starting condition, according to the signal data acquired in real time, when the set starting condition is reached, starting an emergency disposal scheme, and executing emergency disposal operation. Safety and reliability can be further improved, operation management and overhaul and maintenance work are intelligent as much as possible, and therefore long-term stable operation of the hydropower station is guaranteed.

The utility model relates to a lubricating oil monitoring system, and belongs to the technical field of lubricating oil recycling pipelines. The lubricating oil quality detection device comprises an oil tank, an oil pump, a lubricating oil using device, a lubricating oil quality detection sensor assembly and a control system, the inlet end of the oil pump is connected with the oil tank through an oil inlet pipe, and the outlet end of the oil pump is connected with an oil inlet of the lubricating oil using device through an oil outlet main pipe. An oil outlet of the lubricating oil using equipment is connected with the oil tank through a main oil return pipe, an oil coarse filter is arranged at the inlet end of the oil inlet pipe, an oil fine filter and a first oil cooler are sequentially installed on the main oil outlet pipe from front to back, a detection oil pipe is connected to the position, on the downstream side of the first oil cooler, of the main oil outlet pipe, and a detection box is connected to the tail end of the detection oil pipe. The detection box is connected with the oil tank through a bypass oil return pipe, the lubricating oil quality detection sensor assembly is arranged in the detection box, and a first temperature sensor and a first pressure gauge are arranged on the oil outlet main pipe and located on the downstream side of the connecting point of the detection oil pipe and the oil outlet main pipe.

The invention discloses an oil liquid quality evaluation system based on big data, and relates to the technical field of multi-source sensing and Internet of Things, and the system comprises a data collection module which collects full-dimensional data through a heterogeneous sensing array of an oil-containing liquid multi-parameter integrated sensor and a high-frequency vibration sensor in combination with a timestamp synchronous triggering mechanism; the space-time calibration module adopts a dynamic time warping-interpolation collaborative algorithm to align the vibration signal and the oil data, and the information loss is controlled to be lower than a preset threshold value; the feature fusion module generates enhanced fusion features through a pre-trained embedded model and a double-stage attention mechanism; the intelligent evaluation model outputs oil quality grade and fault early warning based on a deep neural network, and the federated learning optimization unit guarantees data privacy; and the visual output module visually displays the result. The system improves the evaluation precision and the data utilization rate, adapts to industrial predictive maintenance, and reduces the shutdown loss of equipment.

The invention aims to provide the in-situ online detection system for acetylene dissolved in oil for the oil immersed power transformer, and the in-situ online detection system can be directly mounted in an oil tank of the transformer, so that real-time, lossless and in-situ online monitoring on acetylene gas dissolved in oil is realized, and oil loss and pollution risks caused by oil sample extraction in a traditional detection mode are avoided. By introducing the micro photoacoustic spectrum acetylene gas sensor, high-sensitivity and high-selectivity acetylene gas detection is realized, and the acetylene gas sensor has the characteristics of being compact in structure, easy to install and free of maintenance. The system can rapidly and accurately monitor the operation state of the transformer, provides an important basis for preventing potential faults, and improves the operation reliability and safety of the power transformer.

The invention discloses a nondestructive testing method and device for the aging degree of insulating oil, a medium and a product, and relates to the field of insulating oil quality evaluation. The method comprises the following steps: firstly, carrying out in-situ windowing on the oil-immersed transformer, and carrying out a terahertz test on insulating oil flowing through a window to obtain a terahertz time-domain spectrum; then, Fourier transform is adopted to convert the terahertz time-domain spectrum into a terahertz frequency-domain spectrum, and a terahertz absorption coefficient is calculated; calculating a terahertz absorption coefficient integral value according to the terahertz absorption coefficient; substituting the terahertz absorption coefficient integral value into a power frequency dielectric loss model, and calculating the current power frequency dielectric loss; and the aging degree of the insulating oil is determined according to the current power frequency dielectric loss, so that efficient, convenient, non-contact and nondestructive detection of the aging degree of the insulating oil can be realized.

The invention relates to the technical field of spectral analysis, and discloses a spectral analysis-based safflower oil diglyceride oil quality detection method. The method comprises the following steps: firstly, acquiring sample spectrum acquisition parameters and original spectrum data, wherein the data contains characteristic absorption peak wave band information and is acquired according to a preset scanning mode; preprocessing the original spectral data, and extracting feature absorption difference points to generate a feature mapping set; dividing an effective detection interval based on the feature mapping set, and adjusting spectrum acquisition parameters to form a correction parameter group; aligning the adjusted spectral data to generate multi-dimensional spectral data; and inputting an absorption peak matching model to carry out characteristic absorption peak matching processing, identifying a characteristic identifier and a quality abnormality identifier, and generating a quality judgment result. After a result is generated, the equipment working state and environmental parameters are monitored in real time, and the correction parameter set is dynamically adjusted to adapt to environmental changes. According to the method, the quality of the safflower oil diglyceride oil can be accurately detected, and the detection efficiency and reliability are improved.

The invention discloses an oil quality detection method and system, and relates to the technical field of industrial equipment state monitoring. The method comprises the following steps: regularly collecting operation condition and environment data in the operation process of the hydraulic system, performing oil quality abnormity prediction, and generating a predicted oil abnormity probability; when the predicted oil abnormal probability exceeds a preset probability threshold value, oil sampling is triggered to obtain an oil sample; calling a historical predicted oil abnormal probability sequence in the sliding window to analyze an oil quality deterioration trend, and obtaining an oil quality deterioration rate; and generating an adaptive oil quality detection scheme by combining the current detection time interval and the oil quality deterioration rate, detecting the oil sample according to the adaptive oil quality detection scheme, and outputting a result. According to the method, the conversion from fixed period maintenance to state prediction maintenance is realized, the problem that excessive detection and insufficient detection coexist in a traditional method is effectively solved, and the accuracy, timeliness and resource utilization efficiency of oil quality monitoring are improved.

A grain and oil quality automatic detection device disclosed by the present invention comprises a belt conveyor, a first detection mechanism, a second detection mechanism, a driving mechanism, a cleaning mechanism and a collection mechanism, the belt conveyor is provided with a plurality of placing sleeves for bearing oil sample tanks, the first detection mechanism is used for detecting color, impurity and transparency of oil samples, and the second detection mechanism is used for detecting color, impurity and transparency of the oil samples. The second detection mechanism is used for detecting the acid value, the peroxide value and the moisture of an oil sample, the driving mechanism drives the second detection mechanism to move between a detection position and a cleaning position, the cleaning mechanism is used for performing heating flushing and hot air drying on a detection head, and the collection mechanism is used for performing separation and recovery treatment on detected oil and a sample tank; according to the device, the whole process automation of continuous and automatic conveying of edible oil samples, image and physical and chemical property detection, automatic cleaning and drying of a detection head and sample tank recovery is realized, and the problems of low efficiency, high pollution risk and high manual participation degree of an existing detection mode are solved.

The utility model discloses a kind of downhole safety valves for medium and heavy oil quality well, it is related to safety valve technical field;Including:valve body, both ends are provided with connecting joint;Valve seat, it is set in valve body, the internal cavity of valve body is separated into control chamber and connecting chamber, middle part is provided with valve hole;Valve plate, it is set in connecting chamber, it is adapted with elastic reset piece, covers in the lower end of valve hole;Valve stem, it is adapted with reset spring, lower end is movably inserted in valve hole;Hydraulic drive rod group, it is installed in control chamber, it is adapted with movable rod, the movable rod can push down the valve stem;Explosion response mechanism can be controlled detonation on ground, it is installed between lower end of the hydraulic drive rod group and upper end of the valve stem, in the case of detonation, it can drive the movable rod to move up and drive the valve stem to move down;Wherein, in the case where the movable rod pushes down the valve plate, two The connecting joint is communicated. With the characteristics of high reliability and high emergency response capability.

The application provides an oil recovery quality inspection system and an aviation oil storage system. The oil recovery quality inspection system comprises a main pipeline, an oil pump unit, a plurality of oil quality inspection units and an oil recovery unit. The main pipeline comprises an outlet end and a plurality of inlet ends. The inlet of the oil pump unit is connected to the outlet end. The plurality of oil quality inspection units are used to be connected to corresponding oil storage tanks and are distributed along the main pipeline at intervals. The oil quality inspection unit comprises a first flow meter and a sampler. The first flow meter and the sampler are connected in parallel between the outlet of the oil storage tank and the inlet end. The first flow meter is used to measure the amount of oil flowing out from the bottom of the oil storage tank. The sampler is used to sample and detect the oil at the bottom of the oil storage tank. The outlet of the oil recovery unit is connected to the outlet of the oil pump unit. The outlet of the oil recovery unit is connected to the inlet end. In this way, the arrangement of the pipeline is simplified, the cost is reduced, and the staff can be protected from directly facing the oil, thereby protecting the staff's body and the environment.

The application discloses an oil blending component oil proportioning optimization control method, system, device and medium based on soft measurement. The application predicts the quality attribute of the finished oil in real time through a soft measurement module, obtains an attribute prediction value, determines a target gain with the original proportioning data, and corrects the model gain of a multivariable controller online by using the target gain, generates adjusted target proportioning data by the multivariable controller, and issues a formula control instruction to a control device, so that the component oil proportioning is accurately adjusted. When the component oil formula or attribute changes, the application can automatically and timely adjust the controller gain, effectively overcome the nonlinearity of the blending process, improve the control precision and system robustness, thereby guaranteeing the stability of the finished oil quality and avoiding the waste of high-value component oil. By introducing the soft measurement technology, the method can replace the traditional online analyzer to a certain extent, reduce the dependence on expensive instruments, and improve the economy and maintenance convenience of the system.

The present invention relates to the field of heavy oil quality detection, in particular to a heavy oil quality detection method and system based on multi-spectrum fusion. When preprocessing multi-spectrum data by using the moving average detrending method, the multi-spectrum data is first classified into extreme value interval multi-spectrum data and ordinary interval multi-spectrum data, and then different methods are used for data preprocessing according to different data types. For the ordinary interval multi-spectrum data, the conventional moving average detrending method is used for data preprocessing, and for the extreme value interval multi-spectrum data, the window attenuation method is used for preprocessing. And when encountering extreme value points, the method of skipping the extreme value points and then restoring the initial window is adopted, which can effectively reduce the influence of the detrending algorithm on the extreme value points in the multi-spectrum data and improve the accuracy of data processing; at the same time, the window attenuation and the method of skipping extreme value points also reduce the time of data preprocessing to a certain extent and improve the efficiency of data preprocessing.

The utility model provides a blending device with an oil product quality monitoring function, which relates to the technical field of oil production and comprises a blending tank, a blending cavity and a storage cavity are respectively arranged in the blending tank, a sleeve is arranged at the central position in the blending cavity, a connecting column is embedded in the sleeve, and a rotating rod is rotatably connected in a connector on the surface of the connecting column. Stirring blades are fixed to the two ends of the rotating rod, a base plate and a discharging plate are connected between the blending cavity and the storage cavity, an infrared detector and a receiver are installed at an installation opening in the inner wall of the blending tank and an installation opening in the top face of the discharging plate respectively, and the infrared detector and the receiver are vertically aligned in position. According to the stirring device, the vertical circulating flow of liquid can be enhanced, stirring is more uniform, the blades are adjustable, the stirring device can adapt to liquid with different viscosities, densities and components, the more accurate stirring effect is achieved, and meanwhile the water content in an oil product can be monitored in the blending process in an infrared light detection mode.

This invention relates to the field of hydropower technology and discloses an intelligent monitoring method for a governor, comprising: deploying signal acquisition components and actuators; forming a continuous curve over time based on signal data acquired by the signal acquisition components; wherein the signal data includes oil pressure, flow rate, oil temperature, oil level, oil quality, noise, odor, opening degree, current, and voltage; performing fault diagnosis and early warning based on the continuous curve and / or video data acquired by the infrared camera; and activating an emergency response plan and performing emergency response operations when the set activation conditions are met, based on the real-time acquired signal data. This invention can further improve safety and reliability and make its operation management, maintenance, and repair work as intelligent as possible, thereby ensuring the long-term stable operation of the hydropower station.