17results about How to "Reduce judgment error" patented technology

The invention discloses an intelligent lighting equipment maintenance management system based on data analysis, and belongs to the technical field of equipment maintenance management, and the system comprises a data obtaining module which obtains associated data related to lighting equipment from a plurality of data sources; the transmission module is used for transmitting the acquired associated data to the central management platform; the central management platform carries out unified preprocessing on the associated data and then carries out analysis according to the associated data so as to judge whether the lighting equipment is abnormal or not, and the central management platform comprises a real-time judgment unit, an early warning analysis unit and a power consumption detection unit; and the maintenance adjustment module executes a corresponding strategy according to a judgment result. The power consumption condition of each lighting device can be judged, when the power consumption is abnormal, the power of the lighting device can be dynamically adjusted according to the intensity of natural light of the environment, and resources can be greatly saved under the condition that normal use of the lighting device is guaranteed.

The invention relates to the technical field of power system detection, and discloses a transformer substation current transformer transformation ratio field checking method and device and a distributed system. The method comprises the following steps: acquiring operation data of the current transformer through various high-precision sensors, and training and predicting by using a deep learning RNN algorithm processing unit after data storage, preprocessing and feature extraction. The data acquisition unit comprises a plurality of sensors, the data preprocessing unit processes data by using a moving average filtering algorithm and a linear interpolation method, and the feature extraction unit extracts features by using an ARMA model and a weighted summation method. The device comprises a plurality of processing units which are connected through a data bus and are arranged in a cabinet with heat dissipation and electromagnetic shielding performance. The distributed system comprises a plurality of checking devices, and is connected with the central server through a local area network, thereby achieving the comprehensive monitoring of the transformation ratio of the current transformer of the transformer substation. The method improves the verification accuracy and real-time performance, fully considers the influence of environmental factors, and is efficient, convenient and high in reliability.

The utility model discloses a sludge depth detection device, and relates to the technical field of depth detection equipment. The device comprises a mounting base, a transmission assembly and a detection assembly, mounting supporting legs are fixedly connected to the mounting base, a controller is fixedly connected to the upper portion of the mounting base, the transmission assembly is mounted in the mounting base, and the detection assembly is mounted at the position of a center shaft of the mounting base; a driving gear is installed at the output end of a servo motor in the transmission assembly, driven gear sets are installed on the two sides of the driving gear, and two driven gears are arranged in each driven gear set. A measuring column is installed in an outer pipe in the detection assembly, and the bottom of the measuring column is fixedly connected with a bottom plate. According to the utility model, the servo motor in the transmission assembly is used for automatically controlling the shell to move downwards for measurement, the workload of detection personnel is greatly reduced, and the detection head in the detection assembly is used for automatically judging the sludge, so that the error of manual judgment is greatly reduced.

The invention discloses a power transmission line infrared image instance segmentation method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the training of a first teacher model according to a visible light image and label information, and generating a first trained teacher model; according to the first infrared image and the label information, training a second teacher model to generate a second trained teacher model; according to the second infrared image and the first pseudo label information, training the first student model to generate a first trained student model; according to the second infrared image and the second pseudo label information, training the second student model to generate a second trained student model; according to the second infrared image and the third pseudo label information, performing fine tuning training on the first trained student model and the second trained student model to generate a second convergence teacher model; and performing instance segmentation on the infrared image of the power transmission line through the second convergence teacher model. According to the invention, the instance segmentation precision of the infrared image can be improved.

The invention relates to the technical field of toxin extraction, and discloses a method for extracting ochratoxin A in coffee by using acetonitrile, and the method comprises the following steps: collecting basic physicochemical characteristic data of a coffee sample, and dividing the sample into different matrix complexity levels according to the data; the method comprises the following steps: preparing different grades of MIP extraction columns by taking ochratoxin A as a template molecule; constructing a toxin extraction dynamic prediction model, predicting the extraction rate according to the multi-dimensional spectrum time sequence data, and judging whether the extraction rate reaches a preset threshold value or not; after extraction is completed, the concentration of the ochratoxin A is measured, and if the target concentration is not reached, closed-loop feedback control is started, extraction parameters are adjusted or an extraction column is replaced; the invention provides an efficient and intelligent ochratoxin A extraction method, the extraction process can be accurately regulated and controlled according to coffee samples with different matrix complexity degrees, the stability and the high efficiency of the extraction effect are ensured, and the accuracy and the reliability of the extraction process are improved through closed-loop feedback control.

The present invention proposes a method for judging the stage of tobacco leaf baking process, which belongs to the technical field of tobacco leaf baking. The method for judging the stage of tobacco leaf baking process, before actual baking, inputs preset baking parameters of the entire baking process through the control end of the baking room; in the entire baking process of actual baking, according to the calibrated data collection time t of the baking process stage, collects the hyperspectral information of tobacco leaf state index X; and establishes characteristic spectral data of tobacco leaf state index X at the collection time t through the hyperspectral information collected at the time t; compares the characteristic spectral data of tobacco leaf state index X at the actual baking time t with the pre-calibrated hyperspectral information; and judges the stage of the current tobacco leaf baking process through the comparison result. The automation of the stage judgment of the tobacco leaf baking control process can be realized, and the efficiency of judging the stage of the baking process can be improved.

This invention relates to the field of aluminum formwork inspection technology, solving the problem of insufficient accuracy and precision in the inspection and sorting of high-precision aluminum formwork for aluminum buildings due to the difficulty in comprehensively covering complex surfaces and nodes. Specifically, it discloses an inspection and sorting device and method suitable for high-precision aluminum formwork. The device includes a feeding input mechanism, an inspection and sorting mechanism, an output mechanism, and a temporary storage mechanism. The feeding input mechanism is located between the output mechanism and the temporary storage mechanism, and the inspection and sorting mechanism is located above the feeding input mechanism, output mechanism, and temporary storage mechanism. The method includes S100, feeding positioning and preprocessing; S200, multi-dimensional inspection data acquisition; S300, algorithm inspection data processing; S400, sorting execution; and S500, inspection data recording and scheduling. This invention is used for the inspection and sorting of high-precision aluminum formwork in aluminum building structures, improving the inspection effect by increasing the inspection coverage and accuracy of complex surfaces.

The invention discloses an intelligent decision-making method for highway asphalt pavement maintenance, which relates to the technical field of pavement maintenance. Through detailed analysis of road section driving behavior data, such as: average vehicle speed, number of lane changes and lane change reaction time, the maintenance risk of the highway section can be more accurately evaluated, so as to formulate targeted maintenance strategies, evaluate maintenance risks, and ensure that maintenance decisions are based on objective data rather than subjective judgments. By analyzing the maintenance safety evaluation coefficients of maintenance groups at each collection time point, it is possible to timely judge whether the maintenance safety is qualified, and issue an early warning prompt when the safety is unqualified, effectively preventing and reducing safety hazards. Through scientific data analysis, real-time safety monitoring and dynamic resource allocation, the scientific nature of maintenance decisions, the safety of the maintenance process and the utilization efficiency of maintenance resources are significantly improved, and the intelligence and automation level of maintenance management are also improved.

The invention relates to the technical field of electric power and information processing, and provides a stringing construction safety monitoring method and system based on image processing, and the method comprises the steps: obtaining a top view image obtained through the shooting of a first target stringing construction region by an unmanned plane; whether an intersection exists between a target frame of a constructor operating the tail rope of the maneuvering winch and a target frame of the rope loop is judged based on the top view image; if yes, calculating the area of the intersection region; if the area of the intersection area is larger than a preset area threshold value, the area of the rope loop is calculated; calculating the area ratio of the intersection area to the rope loop; identifying the operation state of the motorized winching machine; determining a safety risk level according to the operation state of the motorized winching machine and the area ratio of the intersection area to the rope loop; determining a warning strategy according to the security risk level; and through a voice playing module of the unmanned aerial vehicle, a constructor operating the tail rope of the maneuvering winching machine is warned according to the warning strategy. According to the application, the use safety of the motorized winching machine can be automatically monitored and warned quickly and accurately.

The invention belongs to the technical field of heaters, and particularly relates to a load detection system and method suitable for a heater, and the method comprises the steps: 1, data collection: collecting operation data of the heater in continuous operation in real time through a sensor; 2, data preprocessing: cleaning and sorting the operation data collected according to the time sequence, and removing abnormal values and noise; step 3, feature extraction; step 4, model training; 5, real-time monitoring is carried out; step 6, early warning and control; the load detection system comprises a data acquisition module, a data processing module, a real-time monitoring module and an early warning and control module. According to the method, the actual working state of the load of the warmer can be continuously self-updated through the prediction model, the real-time working state of the warmer is judged according to the actual working state, the temperature of the second load is autonomously regulated and controlled according to the actual environment temperature so that the second load can meet the preset requirement of a user, early warning is conducted in the abnormal state, the load power supply is disconnected, and user safety is guaranteed.

The invention belongs to the technical field of image data processing, and particularly relates to a garment quality judgment method and system based on image processing analysis, and the method comprises the steps: obtaining a garment image on a conveyor belt through an industrial camera, and executing the standardized spatial transformation through a standard Gaussian filtering smoothing and bilinear interpolation algorithm; extracting a gradient variance and a periodic texture feature mean value of a local region in the transformed image, and obtaining a texture suppression index based on a proportional relation between the gradient variance and the periodic texture feature mean value; obtaining a local gray scale deviation absolute value and gray scale consistency, and obtaining a stress distortion degree through algebraic saturation model mapping; calculating the product of the stress distortion degree and the texture suppression index, and obtaining a quality deviation degree in combination with the deviation degree of the product relative to a quality safety threshold value; and when the quality deviation degree exceeds a threshold value, automatic shutdown maintenance is realized by correcting the input frequency of the conveyor belt driving motor. According to the invention, the sensitivity and the automation degree of garment defect identification in an assembly line scene are improved.

The present application relates to a kind of methods and systems for detecting blockage, in particular to a kind of methods and systems for detecting blockage of conveying belt, solve the technical problem that the detection accuracy of existing blockage detection method is poor or cost and complexity is higher.The present application emits laser signal vertically from the top of conveying belt, can scan a face of conveying belt, compared with the practice that laser ranging radar of traditional adoption can only detect linear region, while increasing the detection area, improve the accuracy of detection result, and only use one laser signal, system is simple, reliable, low in cost.At the same time, material point cloud data is grid processing, by calculating the volume of material in each grid, the total volume of material is obtained, not only simplify the calculation of total volume of material, also improve the calculation precision, to further improve the accuracy of detection result.

The present disclosure discloses a twin defect detection method, system and computer storage medium, the detection method comprising: sampling a first sample silicon wafer and a second sample silicon wafer from a single crystal silicon rod to be tested; when the crystal directions of a first line defect on the first sample silicon wafer and a second line defect on the second sample silicon wafer are both parallel to <110> When the single crystal silicon rod to be tested is in the same crystal direction, a first length corresponding to the first line defect and a second length corresponding to the second line defect are measured respectively; based on a first distance between the first sample silicon wafer and the second sample silicon wafer in the axial direction of the single crystal silicon rod to be tested, the first length and the second length, it is determined whether there is a twin defect inside the single crystal silicon rod to be tested.

The present invention relates to the technical field of power failure analysis, and discloses a power failure analysis system and method based on a dual-mode communication module, comprising: recording the power consumption information of a user through an electric meter, collecting the historical power consumption data of all electric devices in the user's house, generating a reasonable interval for each device, monitoring the power consumption of the electric meter in real time through the dual-mode communication module, judging the operating status of the electric meter, and if the power consumption of the electric meter changes, obtaining the continuous use time of the corresponding electrical appliance and comparing it with the reasonable interval; if the continuous use time is not within the reasonable interval, the data will be recorded as abnormal, and the system will judge whether to issue an early warning reminder and a fault alarm based on the abnormal data; by recording the abnormal data in different sets respectively, and dynamically adjusting the reasonable interval of the electric device based on the data of these sets.

The utility model discloses a reinforcing steel bar distance measuring device for building construction, which belongs to the technical field of reinforcing steel bar distance measurement and comprises a distance measuring plate, a distance measuring rod and a distance measuring rod, the multiple supporting plates are arranged on the inner wall of the placement cavity in an up-down sliding mode; the distance measuring strips are rotationally arranged on the supporting plate, a plurality of clamping grooves are uniformly formed in the distance measuring strips, and the distances between the clamping grooves in the distance measuring strips are different; a limiting mechanism is arranged on the fixed seat; according to the scheme, the distance measuring strips in the vertical state in the distance measuring plate are converted into the horizontal state, the distance measuring strips and the clamping grooves in the distance measuring strips can detect whether the distance between the steel bars is qualified or not, the mode that the distance between the steel bars is detected through a steel tape at present is avoided, and a large amount of time and labor are saved; the condition of frequently checking the steel tape at present is avoided, and the checking efficiency is greatly improved; meanwhile, the situation that a traditional measuring tape is bent can be avoided, the judgment error of the distance between the steel bars is reduced, and the construction quality of a building is guaranteed.

The application relates to a wind-aiming device and a wind turbine generator unit, and relates to the technical field of wind power generation. The wind-aiming device comprises a reference object, a wind vane, a first angle detection member and a second angle detection member. The wind vane comprises a base and a body. The body is rotationally connected with the base, and the base is provided with an identification part. The first angle detection member is arranged on the reference object, and is used for detecting the included angle between the preset axis of the reference object and a reference direction. The second angle detection member is arranged on the identification part, and is used for detecting the included angle between the central axis of the identification part and the reference direction. The wind-aiming device and the wind turbine generator unit can calibrate the installation angle of the wind vane in the case that the cabin is deformed, improve the installation precision of the wind vane, reduce the determination error of the wind direction angle, and improve the power generation efficiency of the wind turbine generator unit.