1860 results about "Oil temperature" patented technology

The invention relates to the technical field of charging pile group load intelligent regulation and control, and particularly discloses a charging pile group load intelligent regulation and control method and system based on dynamic power equalization, and the method comprises the steps: collecting the oil temperature of a transformer in real time, calculating a total output power threshold value, and correcting the actual output power of a charging pile through combining the line loss and the equipment aging degree; a multi-dimensional load regulation and control decision matrix including user priority, equipment health degree and power regulation sensitivity is established, a dynamic power strategy is allocated through matrix weight, power allocation is inclined to high-priority users and health equipment, emergency power allocation and progressive readjustment during newly-added demands are supported, and the power regulation and control efficiency is improved. Impact of sudden power change on a power grid is avoided, system stability is ensured when newly added loads are accessed, refined intelligent regulation and control of loads of the charging pile group are finally realized, transformer safety, charging efficiency and user experience are improved, and power grid stability and resource optimization configuration are ensured.

The utility model relates to the technical field of hydraulic stations, and discloses an automatic temperature control system for a hydraulic station, which comprises an air-cooled radiator for radiating hydraulic oil, an oil inlet pipe and an oil outlet pipe for connecting the air-cooled radiator with the hydraulic station, a controller, a temperature sensor A, a temperature sensor B and an alarm, the temperature sensor monitors the temperature of hydraulic oil entering and exiting the air-cooled radiator in real time, and the controller adjusts the heat dissipation effect of the air-cooled radiator according to monitored data so as to maintain the oil temperature within a suitable range. And if the oil temperature exceeds a set threshold value, the controller can activate the alarm to prompt an operator to intervene. The system can monitor the oil temperature in real time and quickly respond to temperature changes, and it is guaranteed that the performance of hydraulic oil is in the optimal state all the time.

The invention provides an intelligent analysis method for the oil temperature and the oil level of a transformer. The method comprises the following steps: S1, acquiring oil temperature and oil level data of a transformer, generating displacement diagrams of two data in a coordinate system, drawing an actual oil temperature and oil level curve, and comparing the actual oil temperature and oil level curve with a standard oil temperature and oil level curve given by a manufacturer; s2, generating a relation function between the oil level and the oil temperature by using the transformer oil temperature and oil level monitoring, checking and analyzing device, and performing data comparison with a standard oil temperature and oil level curve given by a manufacturer; s3, analyzing whether the deviation between the oil temperature and oil level curve and a standard oil temperature and oil level curve given by a manufacturer exceeds an allowable value or not under the high-temperature and low-temperature operation conditions; according to the invention, quantitative data analysis can be carried out on the oil temperature and the oil quantity of the oil-immersed transformer.

The invention discloses an oil temperature monitoring system and method for an oil-immersed transformer, and relates to the technical power equipment state monitoring field, and the system comprises a temperature sensor module, a data acquisition module, a data processing and analysis module, an early warning module and a fault diagnosis module; the temperature sensor module comprises a plurality of temperature sensors distributed at different positions of the oil-immersed transformer and is used for acquiring oil temperature data in the transformer in real time; the data acquisition module is connected with the temperature sensor module and is used for collecting oil temperature data acquired by a temperature sensor and transmitting the data to the data processing and analyzing module; the data processing and analyzing module is used for processing and analyzing the collected oil temperature data; the early warning module is used for sending out an early warning signal when the data processing and analyzing module detects that the oil temperature is abnormal or predicts that the hot spot temperature exceeds a safety threshold value; according to the invention, the problem that the fault of the transformer cannot be accurately monitored and intelligently diagnosed is solved.

The invention provides a transformer winding state detection method based on temperature characteristics. The method comprises the following steps: (1) collecting operation data; (2) preprocessing the operation data; (3) taking the normalized transformer load current, the normalized active power, the normalized top oil temperature, the normalized ambient temperature and the normalized oil flow speed as input data, taking the normalized winding hot-spot temperature as output data, and constructing a data set; (4) establishing a VSN-TKAN-GRN deep learning network parallel computing model of the transformer winding hot-spot temperature considering the multi-head attention mechanism; (5) predicting the hot-spot temperature of the transformer winding based on a VSN-TKAN-GRN deep learning network parallel computing model; and (6) calculating the average relative error percentage of the transformer winding hot-spot temperature prediction result and the actual measurement result, and judging the winding state according to the change of the average relative error percentage. According to the method, the state of the transformer winding in operation can be efficiently and accurately judged, so that effective transformer operation and maintenance measures can be taken in time, and large faults are avoided.

The invention belongs to the technical field of transformer operation loss monitoring, and particularly relates to a transformer operation loss condition optimization monitoring method, which comprises the following steps of: calculating an anomaly degree based on oil temperature and vibration characteristics, generating a real-time working condition in combination with load intensity, and associating accumulated operation duration to analyze a real-time operation loss anomaly index; the method comprises the following steps: realizing dynamic correlation between loss and the actual state of equipment, analyzing and extracting fluctuation parameters through a load characteristic change curve, calculating a comprehensive load fluctuation degree, correcting an operation loss abnormal index to eliminate load fluctuation interference, finally determining a dynamic reference threshold according to a historical loss curve, judging continuous overrun through double rules, and triggering early warning. Meanwhile, guide factors such as overload and internal heating abnormity are accurately recognized, corresponding adjustment instructions are output, loss monitoring accuracy and scene adaptability are improved, operation and maintenance closed loop of early warning, guide factors and disposal is achieved, and the method is suitable for transformer full-life-cycle loss monitoring.

The invention relates to the technical field of transformer safety monitoring, and discloses a transformer explosion-proof intelligent monitoring and early warning system and device. The system comprises a monitoring main control unit, an environment sensing assembly, a data transmission module, a risk judgment module and an interaction warning unit. Before monitoring is started, the environment sensing assembly collects initial parameters through an oil temperature sensor, a pressure sensor and the like, the operation state and the signal transmission environment of the transformer are detected and evaluated, and a state signal is generated and transmitted to the interaction warning unit. And when the state is valid, the data transmission module activates the special link to realize data interaction, monitors data transmission reliability and generates a transmission signal. And when the transmission is qualified, the risk discrimination module deeply analyzes the operation data and generates a discrimination signal. The interaction warning unit triggers an early warning prompt when receiving the state failure signal, transmitting an abnormal signal or judging the abnormal signal. The system can comprehensively monitor the operation of the transformer, guarantee data transmission, accurately discriminate the risk and give an early warning in time, and effectively reduce the explosion risk of the transformer.

The invention discloses an automatic control system for a railway bridge static load bending test, which relates to the technical field of bridge engineering detection and comprises an intelligent sensing layer, a digital twin engine, an intelligent control layer, a trusted data management layer, a green energy supply layer and a man-machine interaction layer. The equipment health prediction model integrates oil temperature, vibration and current data to predict mechanical faults, performs early warning 30 minutes in advance, automatically switches to a slow loading mode when the crack propagation rate exceeds the limit, breaks through a passive protection mode of single threshold alarm, realizes multi-dimensional active protection from structural damage to equipment degradation, and drives finite element model updating through sensor data. The simulation prediction reverse correction loading strategy and the RBF neural network online correction material parameters are simulated and predicted, parameter iteration is triggered when the deviation is larger than a set value, the island problem that a traditional BIM only uploads data in a one-way mode is solved, closed-loop verification of test data and design parameters is achieved, and simulation precision is improved.

The invention provides a power transformer electromagnetic loss control method and device in an intelligent power grid environment, and relates to the field of intelligent power grids, and the method comprises the steps: carrying out the cooling demand prediction of a transformer according to a predicted power load sequence and a space temperature sequence, and outputting a predicted cooling load sequence; and with meeting of the predicted cooling load sequence as a constraint and minimization of energy consumption and oil temperature fluctuation as optimization targets, cooling parameters of the forced oil cooling device are optimized, an optimal cooling parameter sequence is output, and the forced oil cooling device is controlled to dissipate heat of the transformer. The method aims to solve the technical problems that a traditional control method lacks cooling strategy dynamic adjustment capacity, temperature rise abnormity is prone to occurring in a high-load or high-temperature environment, transformer iron core loss and winding loss are remarkably increased, and electromagnetic loss is high, accurate and efficient cooling control can be achieved, the electromagnetic loss is effectively reduced, and the service life of a transformer is prolonged. And the operation efficiency and stability of the transformer are improved.

The invention discloses an oil supply control system of a hydraulic pump station, and relates to the technical field of hydraulic systems. The oil supply control system of the hydraulic pump station comprises an oil tank; the oil inlet end of the oil supply pump communicates with the oil tank, and the oil outlet end of the oil supply pump is connected to the oil suction end of the variable plunger pump through an oil supply path; a heat exchanger and a filter are sequentially arranged in the oil supply path and used for conducting temperature adjustment and particle filtration on oil. The oil supply path is connected with a bypass pipeline in parallel, the bypass pipeline is communicated with the oil tank through a one-way valve, the opening pressure of the one-way valve is smaller than 2 bar, and the one-way valve is used for guaranteeing the positive pressure of the oil suction end of the variable pump. The oil outlet end of the variable displacement piston pump is connected to an external hydraulic system and is provided with a high-pressure filter; the detection device is arranged in the oil supply path and used for collecting oil temperature and / or pressure signals; and the control module is connected with the detection device and the execution components and is configured to control the start and stop states of the oil supply pump, the variable displacement piston pump and the heat exchanger according to the comparison result of the detection result and a preset threshold value.

The invention provides a control method and system for high-temperature protection of a hydraulic cylinder, and relates to the field of hydraulic cylinders, and the control method specifically comprises the steps that data are collected through temperature sensors arranged in a cylinder body, a piston rod, oil and the environment, and a three-dimensional temperature field model is constructed based on the Fourier heat conduction law; an oil temperature threshold value is set, a graded cooling mechanism is started when the threshold value is exceeded, and cooling heat is calculated according to a Newton cooling formula and a logarithmic average temperature difference method. Fuzzy PI D control is combined with a neural network prediction model, the cooling intensity is dynamically adjusted according to the temperature rising rate and the load state, and the high-temperature risk is pre-judged. The failure of the sensor is processed by a Kalman filtering algorithm, and the cooling system is automatically switched to a standby loop and alarms if the cooling system fails. The system comprises a temperature acquisition module, a control module, a cooling execution module, an alarm module and a remote communication module, and can solve the problems that an existing protection method is poor in passive cooling effect and unreasonable in timing cooling.

The invention discloses an electrical equipment diagnosis method and system fusing a knowledge graph and deep learning, and the method comprises the steps: carrying out the time sequence coding of a dissolved gas concentration data sequence in oil and an oil temperature data sequence in a preset time period through employing a neural network model based on deep learning; the method comprises the following steps of: extracting a time sequence association relationship between the concentration data of the dissolved gas in the oil and the oil temperature data, and further fusing the time sequence characteristics of the concentration data of the dissolved gas in the oil and the time sequence characteristics of the oil temperature data so as to accurately capture an interaction rule of multiple physical quantities under a dynamic working condition of equipment; and then a deep learning diagnosis result is mapped to a knowledge graph topological space, and bidirectional traceability of a fault node and a cause link is realized. Through the mode, the feature representation robustness of the complex coupling fault is improved, the causal closed-loop verification of the diagnosis result and the equipment operation mechanism is realized, and the formation of an intelligent decision-making system with high-precision diagnosis capability and strong interpretation is promoted.

The invention provides a double-compressor control system, which relates to the technical field of compressor control and comprises a start control module, a control module and a control module, the operation monitoring and regulating module is used for monitoring operation parameters, suction pressure, exhaust pressure, oil temperature, rotating speed, refrigerant temperature and refrigerant flow of the double-compressor system in real time; through reasonable starting control sequence and time interval setting, current impact during starting of the double compressors is effectively reduced, compressor motors and a power grid are protected, the service life of the compressors is prolonged, the reliability of system starting is improved, and by monitoring system operation parameters in real time and using an accurate control algorithm for regulation and control, the system starting reliability is improved. The running state of the compressor can be adjusted in time according to the actual working condition, the running efficiency of the system is improved, energy consumption is reduced, and meanwhile the stability and reliability of the refrigerating and heating effects of the system are guaranteed.

The invention discloses a transformer load capacity evaluation method and system based on dynamic thermal parameter correction, and the method comprises the steps: correcting an oil time constant based on the real-time viscosity of insulating oil in a transformer, and determining an oil time constant correction value; correcting the winding time constant based on the dynamic gradient of the winding temperature to the oil temperature, and determining a winding time constant correction value; correcting a transformer hot-spot temperature calculation model based on the oil time constant correction value and the winding time constant correction value; establishing a temperature constraint based on the corrected hot-spot temperature calculation model, establishing a life loss constraint and a carbon emission constraint, and constructing a load capacity evaluation function based on the temperature constraint, the life loss constraint and the carbon emission constraint; and solving the load capacity evaluation function, determining a time-varying load coefficient, and determining the overload operation capacity of the transformer based on the time-varying load coefficient. According to the method, a theoretical basis can be provided for safe operation and low-carbon dispatching of the transformer.

The invention relates to the technical field of transformer iron core current suppression, and particularly discloses a transformer iron core current closed-loop suppression method and system based on digital twin drive, and the method comprises the following steps: collecting multi-dimensional sensing data of iron core current, oil temperature, environment temperature and vibration acceleration in real time, preprocessing the data, and storing the data according to a time sequence; and constructing and dynamically calibrating a transformer iron core digital twinborn model so as to reflect the coupling dynamic response of the iron core current, the switching resistance, the temperature and the vibration. According to the transformer iron core current closed-loop suppression method based on digital twinborn driving provided by the embodiment of the invention, a digital twinborn model reflecting an electromagnetic-thermal-mechanical multi-physics field coupling effect is constructed and dynamically calibrated by fusing multi-dimensional sensing data such as iron core current, oil temperature, environment temperature, vibration acceleration and the like; and in combination with self-adaptive dynamic safety threshold generation, model prediction control and a closed-loop feedback updating mechanism, the limitation that a traditional method depends on fixed parameters and lacks dynamic adjustment capability is effectively broken through.

According to the deep and far seawater suspension oil and liquid storage device and the underwater oil storage method thereof, a layered tank body structure is adopted, and a load adjusting cabin, a flexible oil storage cabin and a water storage cabin are arranged from top to bottom. The load adjusting cabin is used for dynamically adjusting the net buoyancy of the device through seawater feeding / discharging to reduce the load of the mooring system; the oil storage cabin adopts a flexible storage bag to adapt to volume change and is linked with the water storage cabin through a movable composite heat preservation partition plate, the partition plate comprises an active heating layer and a phase change material layer, when the oil temperature is too low, the active heating layer directionally heats crude oil, the phase change layer absorbs dissipated heat, latent heat is released during external low-temperature impact to buffer temperature drop, and dynamic temperature control is achieved. The device is moored and fixed through a gravity anchor, and multiple types of sensors are arranged to monitor the posture, stress, oil temperature and leakage state of the tank body in real time. The problems of oil storage tank deformation, high pour point oil heat preservation and mooring stability under the deepwater high-pressure environment are solved, and the device has the advantages of being low in construction cost, high in environmental adaptability and efficient in operation and maintenance and is suitable for safe storage and transportation of deep and far sea oil and gas resources.

The invention relates to the technical field of electrical equipment insulation performance detection, in particular to an insulating oil dielectric loss test system based on temperature compensation, which comprises a temperature acquisition module for acquiring insulating oil temperature data and environment temperature data; the dielectric loss measurement module measures a dielectric loss value and a dielectric loss angle through a self-adaptive anti-interference algorithm, and synchronously records voltage and frequency; the intelligent compensation module matches temperature characteristic parameters for different temperature intervals, and compensates a dielectric loss detection value through a segmented temperature compensation model; the state analysis module judges the aging degree and state of the insulating oil according to the compensated dielectric loss value and acid value, generates a multi-stage early warning signal and a diagnosis report by combining the breakdown voltage and the moisture content, and dynamically adjusts the test frequency according to the oil sample type and the operating age limit; and the cloud management platform stores historical data and compensation parameters, establishes a performance degradation model, analyzes a dielectric loss trend and generates maintenance suggestions. Therefore, the problems of insufficient test precision, poor environmental adaptability and the like in the prior art are solved.

The invention relates to an oil-proof emulsification control method and system for an air compressor of an urban rail vehicle, and solves the problem of lubricating oil emulsification caused by insufficient working efficiency of the air compressor and environment humidity change by constructing a comprehensive control system comprising the compressor, an oil-proof emulsification device and a controller. The system monitors lubricating oil temperature and environment humidity in real time through a temperature sensor and a humidity sensor; the working rate of the air compressor is accurately calculated, wherein the vehicle operation time t2 takes the operation speed larger than 10 km / h as the calculation starting point; the controller comprehensively judges whether the oil-proof emulsification device is started or not based on temperature, humidity and working rate data, and the control strategy comprises the step of dynamically adjusting the working rate judgment node according to the real-time temperature and humidity. According to the method, accurate and reliable control over the oil-proof emulsification process is achieved, emulsification of the lubricating oil is effectively prevented, and energy consumption and maintenance cost can be reduced.

The invention relates to a turbine tilting pad sliding bearing lubricating oil device and an oil temperature adjusting method. The lubricating oil device comprises an oil inlet pipe and an oil supply pipe. A mounting part is arranged at the oil outlet end of the oil inlet pipe and is provided with a rotating hole; the oil supply pipe is rotationally arranged on the rotating hole, and an oil spraying hole is formed in the outer side wall of the oil supply pipe; a rotating shifting block is arranged on the outer side wall of the oil supply pipe, a mounting groove is formed in the inner side wall of the rotating hole, an arc-shaped groove coaxial with the rotating hole is formed in the mounting groove, and the sliding end of the rotating shifting block is slidably arranged on the arc-shaped groove and divides the mounting groove into a supporting groove and a driving groove in the circumferential direction of the rotating hole; one end of the elastic piece is connected to the groove wall, away from the rotating shifting block, of the driving groove, and the other end of the elastic piece abuts against the rotating shifting block. The driving groove is filled with a driving body, and the driving body abuts against the rotating shifting block. The system can automatically adjust the temperature of the lubricating oil, has the characteristics of rapidness and high reliability, and can meet the requirement of rapid load change of a coal power unit under a novel power system.

The present invention relates to the field of carbon fiber material molding, and specifically to a carbon fiber material molding autoclave. The carbon fiber material molding autoclave includes a tank body, an oil tank, an oil tank heating mechanism and an air heating mechanism. The tank body is provided with a pressurizing channel for pressurizing the inside thereof, and is provided with an air temperature monitoring device for detecting the air temperature in the tank body; the oil tank is located in the tank body, is filled with oil, and is provided with an oil temperature monitoring device for detecting the oil temperature, the surface of the oil is covered with soft silicone for wrapping a workpiece, and the outer ring of the soft silicone is sealed and connected to the oil tank; the oil tank heating mechanism is installed in the oil tank, and is used to work according to the oil temperature monitored by the oil temperature monitoring device; the air heating mechanism is installed in the tank body, and is used to work according to the air temperature monitored by the air temperature monitoring device. The present invention can keep the temperature constant during the material molding process to improve the quality of the workpiece.

The invention relates to the technical field of quenching, in particular to a high-toughness steel wire production quenching furnace and a quenching process thereof. The quenching furnace comprises a furnace body, a heating chamber and a cooling chamber are arranged in the furnace body, a blocking mechanism is arranged between the cooling chamber and the heating chamber, a conveying mechanism is arranged in the cooling chamber, a mounting frame is arranged at the bottom of the cooling chamber, and a quenching oil tank used for storing quenching oil is arranged in the mounting frame. A stirring mechanism and a reciprocating mechanism are arranged in the quenching oil tank; oil in the quenching oil tank flows through up-down reciprocating motion of the pressing plate, temperature layering of the upper layer and the lower layer of the oil is broken, heat exchange is promoted, the temperature of the oil is more uniform, when the pressing plate reciprocates up and down and ascends, the through holes are opened, the oil in the upper layer can smoothly pass through, and when the pressing plate descends, the through holes are closed. Therefore, the speed of oil in the lower layer flowing to the upper layer in the oil tank is increased, convection of oil in the quenching oil tank is more sufficient, and the temperature difference between the upper layer and the lower layer is further reduced.

The invention discloses a heavy truck hydraulic retarder control method and system and a vehicle, and belongs to the technical field of retarder control. The method comprises the steps that the target braking torque value of a retarder is read; if the target braking torque value is larger than or equal to the maximum output torque value, the target braking torque value is set to be the maximum output torque value; if yes, the target braking torque value is dynamically compensated; calculating a target working pressure value of the retarder cavity; and the deviation between the target working pressure value of the retarder containing cavity and the current working pressure and the deviation between the proportional valve target and the actual current are calculated, calculation is conducted through a PID controller, and the output serves as the input of the retarder proportional valve so as to control the output torque of the retarder. According to the invention, the output torque delay can be reduced so as to improve the braking performance of the retarder, the braking precision and stability are relatively high, and relatively stable braking can be maintained under the conditions of different vehicle speeds and different oil temperatures.

The invention provides an oil level monitoring and leakage early warning system for a hydraulic system of a dredger, which relates to the technical field of hydraulic system monitoring and comprises a hydraulic oil tank, an actuating mechanism assembly connected with the hydraulic oil tank through a pipeline, a data processing unit, a multi-source sensing module, an early warning module and a control module, the multi-source sensing module comprises an integrated liquid level sensor, an actuating mechanism displacement sensor group, an attitude sensor and a temperature sensor, and is used for collecting hydraulic oil level, displacement of each actuating mechanism, ship trim / heeling angle and oil temperature data in real time; the dynamic compensation calculation module is connected with the data processing unit; and the intelligent early warning module is connected with the data processing unit. Normal change and leakage can be distinguished by calculating the oil level change caused by the action of the executing mechanism and the posture of the ship, early warning is conducted in time, pollution and economic losses are prevented, and the situation that when workers inject hydraulic oil, the hydraulic oil splashes, bubbles are generated, and a hydraulic element is damaged can be prevented.

The utility model relates to an oil way system, a cascade unit, energy-saving equipment and refrigeration equipment, the oil way system comprises a first heat exchanger, a first oil tank and a second oil tank, a first channel and a second channel are arranged in the first heat exchanger, and heat exchange can be conducted between the first channel and the second channel; two ends of the first oil tank are respectively communicated with the first channel to form a first circulating oil path; the two ends of the second oil tank communicate with the second channel to form a second circulating oil way. According to the oil way system, when the oil temperature in the first oil tank and the oil temperature in the second oil tank have a large temperature difference, the oil temperature of one oil tank is too low, and the oil temperature of the other oil tank is too high or too high, heat exchange between the two circulating oil ways can be achieved through the first heat exchanger; and therefore, the conditions of too low oil temperature and too high oil temperature are relieved synchronously, and normal operation of an oil way can be guaranteed. No extra heating assembly or oil cooling assembly is needed, and the power consumption and the manufacturing cost of the oil way system can be obviously reduced.

The invention discloses a mold temperature control system and method for a large complex die-casting mold, and the system comprises a mold temperature controller, a mold temperature collection unit, an oil temperature machine, a heating oil pipeline, a cooling water pump, a cooling water tank, a cooling water pipeline, a fixed mold, a movable mold, a fixed mold plate, a movable mold plate, an injection charging barrel, an injection punch, a pipeline integrated board, and a cable. The mold temperature controller is responsible for managing mold temperature control equipment in a centralized mode, the mold temperature collecting unit is responsible for collecting the temperature of the fixed mold core, the movable mold core, the injection charging barrel and the injection punch, the oil temperature machine is responsible for conveying heating oil, and the cooling water pump is responsible for conveying high-pressure cooling water. Through software and hardware integrated control of the die temperature control equipment, the problems of dispersed layout, poor coordination, low working efficiency and the like of the die temperature control equipment are solved, the process management and control capability of die temperature control is improved, real-time and accurate control of the die temperature is realized, the defects of deformation, shrinkage cavities, looseness and the like of die castings are reduced, and the die casting quality is improved. And the size stability and the qualified rate of the large complex die casting are improved.

The invention provides a wind driven generator fault monitoring system, and relates to the technical field of wind driven generator fault monitoring. The wind driven generator fault monitoring system comprises a sensor deployment module and a warning alarm unit, and the sensor deployment module is composed of a vibration and strain sensor, a displacement and torque sensor, a pressure and temperature sensor, a magnetic field and oil temperature sensor and a plurality of sensor nodes. The plurality of sensor deployment modules are respectively and uniformly distributed on each wind generating set, each sensor deployment module acquires data information in a detection process in real time, and judges whether an alarm threshold value is out of limit according to a set alarm threshold value corresponding to each characteristic parameter. Through combination of a sensor deployment module, regular collection and detection of a lubricating oil sample and inspection of equipment such as an unmanned aerial vehicle, real-time monitoring is carried out on the wind generating set more comprehensively and meticulously, potential faults are found in time and analyzed and processed, and corresponding schemes can be customized conveniently for maintenance and replacement.

According to the transformer oil level monitoring method and system based on temperature compensation, the medium, the program product and the terminal, through combination of multi-sensor fusion and an intelligent algorithm, full-dimension sensing of the running state of the transformer is achieved. Compared with a traditional single-function monitoring device, the traditional device usually only monitors single parameters such as oil level or oil temperature and cannot comprehensively consider the incidence relation among the parameters, so that the recognition accuracy of oil level monitoring is low. According to the method, through fusion analysis of the multi-source data and in combination with learning and analysis capabilities of a machine learning algorithm, potential relationships and fault features behind the data can be mined, and the oil level monitoring and recognition accuracy is remarkably improved. According to the invention, fault hidden dangers can be found more timely and accurately, measures can be taken in a targeted manner for maintenance, and unnecessary inspection and maintenance are reduced, so that the operation and maintenance cost of the whole life cycle of the transformer is effectively reduced.

The invention discloses a pumping unit intelligent lubrication decision making system and method based on multi-source data fusion, and the system obtains multi-source data, such as the rotating speed, the torque, the oil temperature and the oil pressure, and the viscosity, the pH value and the water content of lubricating oil, during the operation of a pumping unit through a multi-source data collection unit, and carries out the processing through a data transmission and preprocessing unit. Data features are deeply mined by means of an improved multi-layer perceptron feature extraction unit, feature fusion is carried out on data of an optimized Transform model fusion unit and a historical data storage unit, and a lubrication decision model construction unit constructs correlation models of lubricating oil viscosity, lubrication period and the like based on the fused features. And finally, the lubrication decision execution unit outputs and executes a decision instruction. The method executes the steps of data acquisition, processing, feature extraction, fusion, model construction and decision execution corresponding to each unit of the system. The problems of lubricating oil waste and insufficient lubrication are avoided, and the operation efficiency and the intelligent operation and maintenance level of the pumping unit in oilfield exploitation are remarkably improved.

The invention relates to the technical field of dynamic parameter correction of self-adaptive control systems, in particular to an unmanned crawler braking system and method based on self-adaptive control. The system comprises a data acquisition module, a viscosity dynamic compensation module, a control instruction generation module and a distributed execution module. The data collection module collects vehicle motion state parameters through an accelerometer, a pitch angle sensor and a hydraulic oil temperature sensor, GPS time service and a CAN bus clock are adopted to calibrate the time sequence of a multi-source sensor, and the control instruction generation module fuses the pitch angle, the steering torque parameter and the viscosity variation. According to the method, through closed-loop viscosity correction, instruction time sequence optimization and low-temperature adaptability regulation and control, the problem of braking torque control deviation of a multi-degree-of-freedom articulated mechanism caused by nonlinear change of the viscosity of a hydraulic medium is solved.

The invention discloses a wind-water combined heat dissipation method and device for a hydraulic station, and relates to the technical field of hydraulic heat dissipation control. The wind-water combined heat dissipation method comprises the steps that an expected die-casting plan of a target die-casting machine is read; an expected working load is determined, temperature rise trend prediction of oil liquid of the multiple hydraulic components is carried out, and multiple predicted oil temperatures are output; performing cooling demand analysis, and determining a plurality of initial cooling temperature values; carrying out lubrication performance attenuation analysis, compensating the plurality of initial cooling temperature values, and outputting a plurality of cooling temperatures; a wind-water combined heat dissipation twin model is constructed, heat dissipation parameter simulation optimization is carried out, and an optimized heat dissipation control strategy is output; and according to the optimized heat dissipation control strategy, heat dissipation control in the cooling backflow period is conducted on the target hydraulic station. The technical problems that in the prior art, heat dissipation accuracy and practicability are insufficient, and the working quality and working efficiency of the hydraulic station are affected are solved, and the technical effects that the heat dissipation accuracy and practicability of the hydraulic station are improved, and the working efficiency and working quality of the hydraulic station are improved are achieved.