15results about How to "Realize fault warning" patented technology

This invention discloses a method and system for monitoring the state of hybrid energy storage batteries based on big data, belonging to the field of battery state monitoring technology. The method includes: collecting battery state data and preprocessing the data; obtaining a high-dimensional feature vector based on the preprocessed data through dynamic weight adjustment and fusion; constructing a battery state prediction model based on a long short-time memory network model; obtaining a battery health value based on the high-dimensional feature vector through the battery state prediction model; and monitoring the battery health state in real time based on the battery health value. This invention significantly improves the accuracy of battery health value prediction by dynamically adjusting weights and fusing to generate a high-dimensional feature vector, achieving real-time monitoring and fault early warning of battery health state under complex operating conditions, and effectively improving the safety, reliability, and operational management efficiency of hybrid energy storage systems.

The invention discloses a voiceprint detection-based upender fault detection method and system. The method comprises the following steps of: acquiring a sound signal in an operation process of an upender and preprocessing the sound signal; performing framing and fast Fourier transform to obtain frequency domain spectrum data; obtaining a Mel spectrum through a Mel filter bank, performing logarithmic operation on the Mel spectrum to obtain a logarithmic Mel spectrum, and extracting voiceprint features; performing normalization processing and splicing to obtain a voiceprint feature sequence to be detected; establishing a normal voiceprint model and a fault voiceprint model to form a voiceprint model library; using the improved RealNVP model to output a matching result with the voiceprint model library, and obtaining a running state category result; according to the invention, the operation state monitoring and fault identification of the upender are realized, and the stability and accuracy of fault detection are improved.

The invention relates to the technical field of production of socket connectors of tunnel segments, in particular to tapping equipment for socket connectors of tunnel segments and a using method.The tapping equipment comprises a control box and a tapping turntable, a fence is fixedly connected to the upper end of the control box, a square chassis is fixedly mounted on the inner side of the fence through screws, and a detection assembly is embedded in the square chassis; the detection assembly comprises a pipe inserting assembly, a filter disc is installed on the inner side of the pipe inserting assembly, a small hole and a large hole are formed in the bottom end of the filter disc, a curved bar is welded to the bottom end of the filter disc, a sliding ball is arranged on the curved bar in a sliding mode, a moving assembly is installed in the filter disc, and the moving assembly comprises a clamping plate fixedly connected with the inner side wall of the filter disc. Abstract oil way faults are converted into visual mechanical displacement signals, whether oil supply of the two tapping machines is the same or not can be judged quickly and visually according to the backflow condition, and real-time monitoring and fault early warning of oil supply consistency of the double-station tapping machines are achieved.

The invention relates to the technical field of stamping dies, and discloses a reed nut stamping die and a stamping process. The reed nut stamping die comprises an upper die, a lower die and an exhaust part; the upper die is arranged above the lower die, a forming groove is formed in the lower die, a punch corresponding to the forming groove is installed at the bottom of the upper die, and the exhaust part is installed in the lower die, located below the forming groove and communicated with the forming groove. And two loading grooves are symmetrically formed in the lower mold, air cylinders are installed in the two loading grooves, elastic piston pieces located in the air cylinders are installed on the air cylinders, one-way air outlet pieces are connected between the air cylinders and the exhaust pieces, and one-way air inlet pieces are connected to the peripheries of the bottom ends of the air cylinders. The die assembly driving inflator is used for generating compressed gas and blowing to assist demolding and heat dissipation, the demolding efficiency is improved, the elastic piston piece buffers and reduces the impact force of the lower die, the service life of the lower die is prolonged, the pressure sensor monitors the stamping process in real time, fault early warning is achieved, and the product quality is guaranteed.

This application relates to the field of air conditioning fault diagnosis technology, and discloses a data analysis-based method and system for diagnosing faults in mining truck air conditioners. The method includes: acquiring environmental data from the mining truck and the current detection values ​​of key parameters in sensors; determining whether the performance of the mining truck air conditioner has degraded; if so, determining whether the key parameters are abnormal; if abnormalities occur, recording the time from the most recent start of normal operation of the mining truck air conditioner to the occurrence of the abnormality, and the key parameters involved; acquiring the causes of faults in the mining truck air conditioner within each historical reference period; calculating the first probability of the target parameter becoming abnormal under each fault cause condition, and the second probability caused by each fault cause when a component of the mining truck air conditioner fails; calculating the third probability of each fault cause based on the first and second probabilities, and determining the fault maintenance sequence and optimal maintenance time. This application improves the accuracy of fault diagnosis for mining truck air conditioners.

The application relates to the technical field of power electronic device monitoring, and relates to a power semiconductor fault early warning method and system based on data driving, which comprises the following steps: receiving a power semiconductor fault early warning instruction, confirming a fault early warning system based on the fault early warning instruction, acquiring an electrical evaluation node based on a power semiconductor, acquiring an electrical parameter node set based on a preset electrical monitoring time period, a preset electrical monitoring time interval and the electrical parameter monitoring unit, acquiring a frequency evaluation ratio by using a low-frequency monitoring module and a high-frequency monitoring module, confirming a first-level monitoring state of the power semiconductor based on the electrical parameter node set, the frequency evaluation ratio and the electrical evaluation node, acquiring a monitoring temperature set and a temperature change rate set by using a temperature monitoring module set, confirming a second-level monitoring state of the power semiconductor based on the comprehensive monitoring temperature value and the temperature change rate set, and realizing power semiconductor fault early warning. The application can improve the accuracy and reliability of power semiconductor fault early warning.

The present application relates to photovoltaic power generation fault diagnosis technical field, especially in photovoltaic power generation abnormal diagnosis method and system of multi-source data fusion, method is: S1, obtains meteorological data, photovoltaic power generation data, photovoltaic equipment state information, photovoltaic panel image, historical power generation anomaly diagnosis record;S2, the data obtained is preprocessed;S3, constructs photovoltaic power generation prediction model, predicts the theoretical power generation of photovoltaic;S4, set power generation anomaly deviation threshold, compare the theoretical power generation with actual power generation, detect whether photovoltaic power generation is abnormal;S5, according to photovoltaic power generation abnormal detection result, comprehensive analysis meteorological data, photovoltaic equipment state and photovoltaic panel image, analyze photovoltaic power generation abnormal reason.The present application realizes the accurate modeling and real-time abnormal perception of photovoltaic power generation behavior, significantly improves the intelligent operation and maintenance efficiency of photovoltaic power station, reduces the artificial inspection cost, enhances the economy and sustainability of photovoltaic system.

The application discloses a kind of digital twin-oriented lamps and lanterns total element data acquisition and modeling method, comprising the following steps: step 1: construct lamps and lanterns four-dimensional integrated data system;Step 2: multi-source heterogeneous data synchronous acquisition and timestamp is covered;Step 3: data cleaning, fusion and time sequence alignment;Step 4: construct lamps and lanterns dynamic behavior model;Step 5: digital twin encapsulation and double-drive update;The application realizes that lamps and lanterns are from physical entity to digital twin high-fidelity mapping, provides standardization data and model basis for predictive maintenance, energy efficiency optimization, system simulation and other advanced applications, with the advantages of low cost, strong scalability etc..

A fault early warning method and device of a motor driver are used for realizing fault early warning of the motor driver. Embodiments of the present application provide a fault early warning method for a motor driver, comprising: acquiring running state data of the motor driver when the motor driver runs; inputting the running state data into a preset artificial intelligence (AI) diagnosis model, outputting a first abnormality degree parameter of the motor driver through the AI diagnosis model, wherein the AI diagnosis model is used for extracting data features according to the running state data and performing decision reasoning through the data features; and performing fault early warning on the motor driver according to the first abnormality degree parameter.

The application discloses a health monitoring method and system for a fluid circulating system, and the method comprises the following steps: collecting multi-source data of the fluid circulating system; outputting a health baseline data set in a historical period; pre-training a physical information neural network (PINN) that fuses fluid motion physical laws to generate a PINN-based prediction model; inputting circulating pump flow and rotating speed under real-time working conditions into the PINN-based prediction model to output a predicted pressure difference; calculating the difference between the measured pressure difference and the predicted pressure difference at each time point to obtain a residual sequence; extracting residual fluctuation characteristics by using a first-level moving average deviation (MAD) method, combining a second-level exponentially weighted moving average (EWMA) method to construct health characteristics, and outputting a health characteristic sequence to be tested; and realizing fault early warning of the fluid circulating system through a preset control limit. The method provided by the application is a health monitoring method that does not need to rely on a large number of fault samples, and meets the operation monitoring demand of long service life and high reliability of the fluid circulating pump.

The application relates to the technical field of power distribution room stop and send power control, in particular to a remote control method for the power box stop and send power of a power distribution room. The method comprises the following steps: collecting various power data and various environmental influence data of the power distribution room, and obtaining the power operation state at each moment based on the data; smoothing the power operation state at each moment by using different sizes of sliding windows, and then constructing a window size linear model; obtaining the local data difference value at each moment, then combining the window size linear model to obtain the smooth window size at the moment, and then smoothing the power operation state to obtain a smooth power operation state sequence; predicting the power operation state at the next moment based on the smooth power operation state sequence, and obtaining the local change trend at the current moment; and controlling the stop and send power of the power distribution room at the current moment according to the smooth power operation state and the local change trend at the current moment. The application can effectively control the stop and send power of the power distribution room.

The utility model relates to the field of numerical control lathe processing accessories, especially to a numerical control lathe integrated truss mechanical hand, including lathe body, the one side of lathe body upper end is provided with the bunker, the other side of lathe body upper end is provided with the sunroof subassembly, the upper end of bunker is provided with truss mechanical hand subassembly, the utility model has the beneficial effects that: the application is in truss mechanical hand subassembly and numerical control lathe integrated design, integrates truss mechanical hand subassembly, bunker and electric control cabinet all to numerical control lathe, realizes the stroke of truss mechanical hand shorter, reduces the risk of product in the air sliding and personnel misentry, compact design, reduces the equipment floor area, adapts the modernization workshop high density production needs, integrated numerical control system realizes the trouble early warning and automatic integration, reduces the procurement cost with the innovative design, solves the security deficiency, the low space utilization, the maintenance inconvenience of traditional numerical control lathe and truss mechanical hand separation formula existence problem.

The high-creeper voltage transformer comprises an epoxy insulator and a shell, the shell is sleeved on the epoxy insulator, a first umbrella skirt is arranged at the sleeve of the high-voltage end of the shell, and a second umbrella skirt is arranged at the low-voltage end of the shell, the first umbrella skirt is made of silicon rubber, and self-repairing capsules are arranged at positions, which are not more than 2 mm away from the surface, in the interiors of the first umbrella skirt and the second umbrella skirt, the self-repairing capsules comprise a capsule body, the capsule body contains a curing agent, the capsule body is a plastic film capsule body, the self-repairing capsules in the first umbrella skirt adopt a combined structure integrally formed with the first umbrella skirt, and the curing agent in the capsule body is a curing agent mixed with a volatile conductive solvent. Through the self-repairing capsules and the carbon nanotube heating film, after the sensor senses local discharge, the produced cracks and conductive channels can be repaired, further damage can be avoided, and the safety and stability are effectively improved.

The utility model discloses a kind of exhaust systems of wet garbage processor, including smoke hood, exhaust pipe, temperature and humidity sensor, regulating valve, purifier, fan, high-energy ion tube and control box, smoke hood is equipped with exhaust pipe and temperature and humidity sensor, regulating valve is equipped on exhaust pipe, purifier is equipped on exhaust pipe, the tail portion of exhaust pipe is connected with fan, purifier is connected with fan by high-energy ion tube, fan is connected with control box.Using the above technical scheme is made into a kind of high-efficiency stable wet garbage processor's exhaust system, using frequency conversion motor drive, the accurate control of air volume is realized, and energy consumption is reduced. Adjusting valve is arranged in air pipe, according to the real-time adjustment air volume of internal temperature and humidity in storehouse, improve system operating efficiency. Exhaust system control intellectualization, realize remote monitoring and fault early warning, reduce maintenance cost.

This invention discloses an adaptive river debris interception and garbage compression and packaging method and device based on flow velocity sensing, relating to river ecological management. The device comprises five modules: debris interception machinery, backup electric drive, garbage compression and packaging, sensing and detection, and main control. Operating data is collected through radar flow velocity sensors and ultrasonic volume sensors. The main control module coordinates with each module to achieve adaptive regulation. The method employs a river debris interception power adaptive switching algorithm, activating the backup electric drive module or adjusting the device angle based on water flow velocity to stabilize the speed of the belt conveyor unit for garbage transport. An adaptive garbage packaging threshold switching algorithm dynamically corrects the compression threshold, compressing garbage according to a pre-compression-main compression-holding-reset process. Simultaneously, data is uploaded to an IoT platform, enabling information prompts and remote control based on signal type. This invention features wide applicability, automation, and low cost, efficiently solving the problem of river garbage cleanup.