533 results about "Oil quality" patented technology

The invention relates to the technical field of peanut oil production control, in particular to an intelligent optimization system for a peanut oil production control process, which comprises a process parameter modeling module for collecting peanut oil production parameters, performing linear combination on the peanut oil production parameters, analyzing the correlation of the peanut oil production parameters to quality indexes, and calculating the quality indexes of the peanut oil production parameters; and obtaining a process parameter mapping matrix. According to the method, through deep correlation analysis of multiple parameters in the production process, the mapping relation between the process parameters and the oil quality indexes is established, and the precision and reliability of quality control are improved. In the process control, the specific influence of each production link on the quality index is accurately reflected through standardized and linear combinatorial analysis on the parameters such as squeezing temperature, pressure, time, stirring speed and the like. By predicting the quality index under the current production condition, the response speed to the quality change is improved, so that the quality index deviation can be quickly analyzed and evaluated in real-time data monitoring.

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 provides an image sensor for online detection of oil quality, and the image sensor comprises a sensor body which is provided with an oil inlet, an oil outlet and a detection chamber, the detection chamber is arranged between the oil inlet and the oil outlet, and the detection chamber comprises a cavity and a transparent protection plate arranged at the top of the cavity; the magnetic adsorption assembly comprises an annular electromagnet arranged above the transparent protection plate; the image acquisition assembly is arranged on the upper surface of the transparent protection plate and comprises an imaging lens, a CMOS sensor and an annular light source; the processing circuit is used for preprocessing and analyzing the acquired optical image; and the control circuit is used for controlling the coil electrifying preset time so as to adsorb the abrasive particles and control image acquisition. According to the invention, real-time and accurate detection of the abrasive particles in the oil can be realized, and the morphology feature information of the abrasive particles can be obtained.

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 utility model relates to the technical field of oil presses, in particular to a large numerical control oil press which comprises an oil press body, a feeding bin, supporting legs, a spiral conveyor, a supporting plate, a discharging pipe, an impurity removing mechanism and a stirring mechanism. The oil press comprises a feeding bin, an oil press body, a plurality of supporting legs and a spiral conveyor, the supporting legs are fixedly arranged between the feeding bin and the oil press body, the spiral conveyor is fixedly arranged on the oil press body, the two ends of the spiral conveyor communicate with the feeding bin and the oil press body correspondingly, and a supporting plate is fixedly arranged in the feeding bin. The problem that the oil quality is affected due to the fact that impurities are doped in oil materials in the oil pressing process in the prior art is solved.

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.

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.

This document relates to methods and materials for generating oilseed (e.g., pennycress) plants that have oil with reduced levels of polyunsaturated fatty acids (PUFAs) and / or increased levels of oleic acid. For example, oilseed plants having reduced expression levels of one or more polypeptides involved in fatty acid biosynthesis (e.g., fatty acid desaturase 2 (FAD2) and reduced oleate desaturation 1 (ROD1)), as well as methods and materials for making and using such oilseed plants are provided.

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 utility model provides an online continuous detection device for oil quality. The online continuous detection device comprises an optical detection module, the sampling cavity is provided with an inlet and an outlet which are communicated with an oil product pipeline; the other end of the atomizer is communicated with the combustion chamber; the atomized oil product is combusted in the combustion chamber, and the optical detection module continuously obtains the content of sulfur in the combusted gas. The device has the advantages of continuous detection and the like.

The present invention provides a transformer automatic oiling system based on improved pressure oiling equipment, including interconnected: oil source storage module, for oil storage, oil level monitoring and oil temperature control; intelligent connection module, for designing pipelines and valves, and installing intelligent connection components; pressurized oiling module, for pressure oiling using variable frequency oil pump and pressure control valve, and for oil injection quantity control in combination with throttle valve and voltage stabilizer; filtering and degassing module, for pre-filtration, degassing and drying, and for evaluating oil quality; control center module, for designing oiling control logic based on PLC control cabinet, controlling actuator to complete oiling task, and for real-time monitoring, remote control and alarm; safety guarantee module, for oil leakage detection and pressure detection. The present invention realizes a high-efficiency, low-maintenance automatic oiling process, and can also reduce the probability of equipment failure, extend the service life of transformers, reduce operation and maintenance costs, and improve the reliability and safety of power systems.

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.

The invention relates to the technical field of transformers, and discloses a multifunctional intelligent oil-immersed transformer and a using method thereof.The multifunctional intelligent oil-immersed transformer comprises a transformer body, the two sides of the transformer body are fixedly connected with oil tanks correspondingly, the tops of the oil tanks are fixedly connected with oil liquid pumps, one ends of the oil liquid pumps communicate with liquid pumping pipes, the oil liquid pumps are started, and negative pressure is generated by the oil liquid pumps; negative pressure enters the interior of the liquid pumping pipe and enters the interior of the circular pipe through the liquid pumping pipe, the negative pressure enables the piston frame rod in the circular pipe to vertically move upwards, when the piston frame rod moves to the position above the connecting position of the bent pipe and the circular pipe, the negative pressure can absorb oil in the oil tank, and the oil enters the interior of the circular pipe; oil liquid enters the bent pipe through the round pipe and enters the liquid pumping pipe through the bent pipe, the oil liquid pump is arranged, the oil liquid enters the liquid discharging pipe through the liquid pumping pipe, the oil liquid enters the oil tank through the liquid discharging pipe, the oil liquid moves circularly, and the oil quality of the oil liquid is prevented from being degraded.

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 discloses a natural gas engine performance monitoring system and method, and relates to the technical field of engines, and the system comprises a controller, a quality sensor and a pressure sensor; the quality sensor comprises an engine oil quality sensor and an air outlet flow quality sensor; the engine oil quality sensor is used for detecting oil product information of engine oil in a static state; the gas outlet flow quality sensor is used for detecting the gas leakage amount of the engine and the gas quality information of the gas in the static state and the dynamic state; the pressure sensor is used for detecting the pressure of the crankcase in a static state and a dynamic state; in the static state, the controller judges whether engine oil of the engine is replaced or not according to data collected by the engine oil quality sensor and judges whether the engine can start or not according to data collected by the air outlet flow quality sensor and the pressure sensor; in the dynamic state, the controller can judge whether the dynamic measurement value of the engine is within the pressure difference range or not according to data collected by the air outlet flow quality sensor and the pressure sensor, and if the dynamic measurement value exceeds the pressure difference range, torque limiting is conducted.

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 discloses a method for judging crude oil density based on a three-dimensional quantitative fluorescence technology and a related device. The method comprises the steps of obtaining fluorescence data of a rock core and rock debris; performing mathematical statistics, parameter extraction, combined calculation and sensitivity screening on the fluorescence data to obtain oil index parameters; and establishing a two-dimensional evaluation chart according to the oil index parameters, and displaying different crude oil density distribution areas. According to the method, parameters such as fluorescence excitation, emission wavelength, oil concentration, crude oil fluorescence intensity, well completion oil testing crude oil density and the like of a rock core and rock debris three-dimensional quantitative fluorescence technology are obtained through mathematical statistics, parameter extraction, combined calculation and sensitivity screening, and the corresponding relation between the three-dimensional quantitative analysis wavelength and the fluorescence intensity parameter is fully excavated and utilized; the correlation is analyzed, the accuracy of the obtained result is higher, and the error range is smaller than 5%.

The invention relates to the technical field of vehicles, in particular to an engine oil quality control system and method and a vehicle. The volatilization assembly is arranged on the engine oil pan; and the engine controller is used for controlling the volatilization assembly to execute quality control action when the engine oil of the engine meets any one of a dilution condition and an emulsification condition, and at least one of water and fuel oil in the engine oil is volatilized until the engine oil of the engine does not meet the dilution condition and the emulsification condition. Therefore, the problem of dilution and emulsification of engine oil is solved.

The present invention discloses an online monitoring and processing method, device and system for oil viscosity, which belongs to the technical field of oil monitoring. The method first converts the collected and calculated kinematic viscosity into a standard measured kinematic viscosity at a standard temperature, eliminates the influence of temperature on viscosity, calculates the difference between the standard measured kinematic viscosity and the standard reference kinematic viscosity at a standard temperature, compares the difference with a threshold value, and determines whether the oil viscosity is abnormal. Once the oil viscosity is found to be abnormal, an alarm is issued for the abnormal data, and the oil is processed in time through a processing branch. The viscosity-temperature reference curve is obtained by measuring new oil, and abnormal values ​​are eliminated during the acquisition process, so that the viscosity-temperature reference curve is true and reliable. The present invention overcomes the monitoring error caused by the fluctuation of measurement data and temperature changes in oil viscosity, avoids many shortcomings of manual sampling and detection, and can monitor the changes in oil viscosity in real time, quickly and accurately, so as to facilitate the timely discovery and resolution of oil quality problems.

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 provides an oil product near infrared spectrum detection method and a detection device.The device comprises a sample pool, a near infrared light source, a linear array type infrared light filter, a linear array camera and a circuit part, and the sample pool is used for containing an oil sample to be detected; the near-infrared light source is used for irradiating an oil sample to be detected; the linear array type infrared optical filter is a step type thin film FP cavity filter, and the step type thin film FP cavity filter is used for performing multispectral light splitting treatment on an optical signal transmitted when the near-infrared light source irradiates the oil sample to be detected to obtain a multispectral transmission signal; the linear array camera comprises a linear array type infrared image sensor and a camera circuit board, and the linear array type infrared image sensor is used for sensing the multispectral transmission signal and generating image data through the camera circuit board; and the circuit part is used for obtaining the component information of the oil sample to be detected based on the image data and the oil component inversion model, so that the function of quickly and accurately detecting the quality of the light oil on site is realized.

The utility model discloses an oiling device for a guide screw rod, which is characterized in that a base is vertically connected with a stand column, the lower end of the stand column is connected with a control box, a sliding block is connected to the stand column in a sliding mode, the left side and the right side of the sliding block are respectively provided with a supporting arm, the supporting arms are movably connected with a clamping mechanism, and an oiling pipe is arranged below the clamping mechanism. The oil coating pipe is connected with the oil storage cavity through a rotating cylinder, the rotating cylinder is electrically connected with a rotating motor arranged at the bottom end of the rotating cylinder, and the rotating motor is in electric control connection with the control box through a wire. According to the utility model, the rotary oiling mechanism and the adjustable clamping mechanism are arranged, so that the adjusting flexibility of the fixed direction of the guide screw rod is improved, the corresponding guide screw rod can be subjected to electric automatic all-dimensional oiling by rotating the oiling pipe, the oiling efficiency is improved, grease is fully smeared to cover the surface of the guide screw rod, and the oiling quality is improved. And the oiling uniformity is improved, and oiling maintenance and use of the guide screw rod are facilitated.

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.