17results about How to "Quick and accurate judgment" patented technology

The invention discloses a safety monitoring method and system for a construction area, and relates to the field of construction safety monitoring, and the main scheme is as follows: collecting multiple types of data of the construction area in real time; respectively calculating a safety helmet identification index, an equipment fault risk index, a comprehensive health index and a comprehensive environment safety index to obtain a risk assessment value, and comparing the risk assessment value with a preset threshold to judge whether the construction area is in a risk state; calculating the coverage proportion of the monitoring area, and comparing the coverage proportion with a coverage proportion threshold of the monitoring area to judge whether the coverage proportion of the current monitoring area meets the requirement or not; calculating an unmonitored area proportion, further obtaining a risk assessment index, finally obtaining a construction efficiency index, and comparing the construction efficiency index with a construction efficiency index threshold value to judge the construction efficiency; according to the method, the risk of the construction area can be comprehensively evaluated, risk early warning is realized, monitoring coverage is optimized, and construction safety and efficiency are guaranteed.

The invention discloses a ship collision avoidance behavior and style identification method. The method comprises the following steps: acquiring real AIS data of a water area to be identified; preprocessing the real AIS data of the water area to be identified; calculating inter-ship motion parameters of the two ships based on navigation parameters of the ship and the target ship in different groups, and screening meeting scenes of the ship and the target ship in different groups to form a preliminary meeting scene data set; based on the preliminary meeting scene data set, an improved sliding window algorithm is applied to identify collision avoidance feature points of the ship, the collision avoidance behavior of the ship is represented, and a collision avoidance track data set is constructed; selecting characteristic parameters in the collision avoidance track data set as collision avoidance characteristic indexes; and performing standardized processing on the collision avoidance characteristic indexes, and performing clustering analysis on the collision avoidance characteristic indexes by adopting a K-Means + + algorithm to obtain the collision avoidance style of the ship in the research water area. The method reveals the collision avoidance behavior styles of different ships.

The invention relates to an elevator fault detection method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring to-be-measured operation data of an elevator for at least one reference dimension in an operation stage; according to the to-be-measured operation data of the at least one reference dimension, the corresponding actual jitter characterization quantity of the elevator in the operation stage is determined; the reference jitter characterization quantity corresponding to the elevator in the operation stage is obtained, wherein the reference jitter characterization quantity is the jitter characterization quantity corresponding to the situation that the elevator does not break down in the operation stage; and according to the actual jitter characterization quantity and the reference jitter characterization quantity corresponding to the operation stage of the elevator, fault detection is conducted on the elevator, and a fault detection result of the elevator is obtained. By adopting the method, the fault detection accuracy can be improved, and the data acquisition difficulty and the installation and maintenance cost are reduced.

A battery assembly according to one embodiment can include: a plurality of battery cells each including an electrode assembly, an outer material internally accommodating the electrode assembly, and an electrode lead connected with the electrode assembly and protruding outside the outer material; a busbar electrically connected with each electrode lead of the plurality of battery cells; a through-hole formed through the busbar; a measurement portion measuring an electrical property of at least one battery cell of the plurality of battery cells; and an insulation measurement member one end of which is connected with the outer material of one battery cell of the plurality of battery cells and the other end of which is electrically connected with the measurement portion.

The present disclosure relates to a method, device, storage medium and electronic device for identifying an aortic dissection image. The method comprises: acquiring an aortic CTA image, and extracting an aortic 3D vascular image from the CTA image; constructing a sequence of layers to be identified based on the aortic 3D vascular image, wherein each layer to be identified in the layer set to be identified is a 2D image; inputting the layer set to be identified into a trained aortic dissection identification model to obtain an identification result characterizing whether there is an aortic dissection in the layer set to be identified; and determining whether the CTA image is an aortic dissection image based on the identification result corresponding to each layer set to be identified in the layer set sequence to be identified. By adopting the method disclosed in the present disclosure, it is possible to quickly and accurately determine whether the aortic CTA image is an aortic dissection image.

This invention discloses a method for rapidly detecting conventional and hybrid varieties of industrial chili peppers and its application, relating to the field of molecular breeding technology. The method includes: extracting DNA from fresh leaves of the industrial chili pepper to be tested and performing whole-genome resequencing at a sequencing depth of 8×–12×; aligning the sequencing data to the chili pepper reference genome (Capsicum chinense cv. 'PBC932') to screen for high-quality heterozygous SNP loci; using a 1 Mb sliding window to statistically analyze the distribution density of heterozygous SNPs across the entire genome; and determining the variety type based on density thresholds: an average density <300 SNPs / Mb indicates a conventional variety, and >2000 SNPs / Mb indicates a hybrid variety. This invention eliminates the need for phenotypic observation in subsequent generations, requiring only leaves from current-generation plants to rapidly and accurately distinguish conventional and hybrid varieties at the molecular level. It features a short detection cycle, objective and reliable results, and is not limited by the number of molecular markers, providing strong technical support for efficient identification and early screening of industrial chili pepper germplasm resources.

This invention proposes a high- and low-voltage line strong discharge monitoring system and method based on video image recognition, relating to the field of strong discharge monitoring. It includes a camera for acquiring video streams of high- and low-voltage lines and sending them to an image analyzer; the image analyzer extracts keyframe images from the video streams, extracts static and dynamic spark features based on the keyframe images, and inputs a feature vector composed of these features into an extreme learning machine for spark recognition, generating a discharge warning signal, which is then sent to a remote server; the remote server receives and displays the discharge warning signal. This invention improves the accuracy of video spark image recognition and can quickly and accurately determine the discharge location, ensuring the safe and stable operation of the power grid and reducing economic losses caused by transmission line discharge faults, thus having significant social and economic implications.

A multi-dimensional time series data dynamic evolution analysis method, device, medium and electronic equipment, the method comprises the steps of: obtaining and structuring pre-processing time series data; each of the time series data is quantified and attributed in multiple dimensions, and a three-dimensional data node containing spatial coordinates, initial weight and timestamp is constructed; based on the set of three-dimensional data nodes in a specific time window, a three-dimensional data density field is constructed which can represent the data hotspot distribution and intensity in the time window; in the three-dimensional data density field, the density peak area is identified as the core data cluster, and the cluster quality is calculated according to its density and coverage, and the association strength between different core data clusters is calculated; the sequence of the state snapshots of the continuous multiple time window data fields is serialized to form a dynamic evolution view which can show the birth and death of data hotspots, the fusion and splitting process of data clusters. The abstract multi-dimensional data is converted into intuitive three-dimensional density field.

The invention discloses an identification method for detecting aircraft skin defects. It comprises the following steps: step A: image acquisition, using a CCD camera to take an aircraft skin picture and preprocessing the original aircraft skin image of the taken aircraft skin picture; step B: using a grayscale co-occurrence matrix to extract the characteristic parameters of the skin surface under different defect types, thereby establishing an aircraft skin characteristic parameter set; step C: using a fuzzy control system to fuzzify the characteristic parameters in step B, and obtain a characteristic parameter set represented by fuzzy language; step D: according to the different types of aircraft skin surface defects, the aircraft skin defect real-time detection is realized through BP neural network classification and recognition based on fuzzy control. The advantages are: realizing the rapid and accurate recognition and judgment of aircraft skin surface defects, effectively verifying the advantages of combining fuzzy control theory with BP neural network technology, and realizing the real-time classification and recognition of aircraft skin surface defects quickly and accurately.

The invention discloses a short circuit fault control method and device. According to the method, the fault estimation value is calculated by acquiring the real-time current and combining the F test algorithm with the real-time and estimated current values, and the fault estimation value is compared with the threshold value to judge the fault. And after the fault is confirmed, determining a short-circuit current zero point according to a zero point prediction algorithm, and cutting off the fault current at the point by using the circuit breaker. According to the invention, the accuracy and speed of fault detection are improved, and the operation opportunity of the circuit breaker is optimized, so that the problem that the short-circuit fault cannot be accurately controlled in the prior art is solved.

The invention discloses an integrated liquid cooling radiator for an electrical component, and relates to the technical field of liquid cooling radiators, the integrated liquid cooling radiator comprises a liquid cooling radiator, a liquid inlet auxiliary pipe and a liquid outlet auxiliary pipe, and the liquid inlet auxiliary pipe and the liquid outlet auxiliary pipe are fixedly communicated with the liquid cooling radiator. The moving stability of the liquid cooling radiator fixedly connected with the hollow cavity column can be effectively improved, it is guaranteed that the liquid cooling radiator on the hollow cavity column can be always in a parallel state with the attaching face of the electric appliance element when moving towards the direction of the electric appliance element, and the problems of local silicone grease loss, uneven thermal resistance and poor reliability caused by follow-up non-parallel attaching can be effectively avoided. The heat dissipation is influenced; and meanwhile, the fitting spring body can effectively improve the tight fitting degree between the liquid cooling radiator and the electrical element under the pressure of the elastic force of the fitting spring body while ensuring that the liquid cooling radiator is pushed to be close to the fitting surface in order.

The invention discloses an abnormity self-diagnosis method for an injection molding machine. The abnormity self-diagnosis method is characterized by comprising the following steps that a controller of the injection molding machine outputs a power instruction and a valve control instruction; acquiring at least one performance parameter of the injection molding machine in real time through the controller; judging whether the obtained performance parameters meet a preset standard or not; and obtaining a diagnosis result. The method has the advantages that by acquiring the relevant performance parameters of the injection molding machine in real time and judging whether the corresponding performance parameters are within the preset standard, the abnormity self-diagnosis of the injection molding machine is realized, an operator can be helped to quickly and accurately diagnose the abnormity reason of the injection molding machine, the error caused by manual judgment is reduced, the fault processing efficiency is improved, and the maintenance cost is reduced; meanwhile, the production efficiency is improved.

The utility model belongs to the field of wheel hub detection, and particularly relates to a wheel hub end face flatness detection device, which comprises a workbench, the bottom of the workbench is fixedly connected with supporting legs, the upper surface of the workbench is fixedly connected with a bearing seat, the inner wall of the bearing seat is fixedly connected with a first bearing, and the inner wall of the first bearing is fixedly connected with a second bearing. The inner ring of the first bearing is fixedly connected with a first cylinder, the upper surface of the first cylinder is fixedly connected with a detection disc, and the upper surface of the detection disc is fixedly connected with a gasket. Through cooperation of a rectangular cylinder, a strip-shaped hole, a first sliding block, a first limiting ring, a first U-shaped plate, a second limiting ring, a second sliding block, a semicircular groove, a semicircular block, a mounting frame, an electronic dial indicator, a transverse plate, a rectangular hole and a feeler gauge, when the detection device detects the flatness of the end face of the hub, the flatness of the end face of the hub is detected by observing readings on the electronic dial indicator; therefore, the flatness of the end face of the hub can be quickly and accurately judged.

The present application discloses a hard disk processing method and related systems, electronic devices and storage media. The method includes: based on the target hard disk online at the user layer, triggering the target hard disk to perform a read / write operation; detecting the metadata of the target hard disk and the execution status of the read / write operation in the kernel layer; in response to at least one of the first detection result of the metadata and the second detection result of the read / write operation representing an abnormality, obtaining the abnormality details information about the target hard disk in the kernel layer; based on the abnormality details information, processing the target hard disk. The above scheme can improve the performance of the hard disk service by improving the accuracy of hard disk abnormality detection.

The invention relates to the technical field of sprinkling irrigation, in particular to a forestry planting land sprinkling irrigation device which comprises a liquid medicine bin used for containing different agents, a spraying pipe, a quantitative bin, an attaching plate and a control box, the spraying pipe is arranged on the lower portion of the liquid medicine bin and communicated with the liquid medicine bin, the quantitative bin is communicated with the liquid medicine bin and the spraying pipe, and the attaching plate is arranged on the lower portion of the quantitative bin. The pesticide liquid bin is fixedly installed in the middle of the attaching plate, a thickness clamp is movably installed on the face, opposite to the pesticide liquid bin, of the attaching plate, and through cooperation between the spraying pipe and the quantifying bin, regular and quantitative pesticide or clear water spraying operation can be achieved, and the spraying effect is improved while the reasonable humidity of a rubber tree planting area is improved. According to the invention, water and medicament supply required by the growth of the rubber tree is ensured, and the sprayed clear water or medicament can flow to the root area along the trunk in a manner of directly spraying the trunk, so that fixed-point spray irrigation is formed, the dissipation amount of water in the spray irrigation process is reduced, and the effective utilization rate of the water and medicament is improved.

The invention discloses an electrolytic cell state monitoring method and system based on a generalized load equivalent model, and the method comprises the steps: operating a typical electrolytic cell generalized load equivalent model, and fitting a parameter curve equation according to the operation data, fitting dip angle values of parameter continuous values of the typical electrolytic cell generalized load equivalent model at all moments are obtained according to the parameter curve equation, adaptive discretization processing is conducted on sample values of the parameter continuous values of the model, and discretized parameter values are obtained; and analyzing and judging the current running state of the electrolytic cell by using a real-time generalized load equivalent model of the electrolytic cell based on the discretized parameter value. In the generalized load equivalent model parameter value of the electrolytic cell, the continuous parameter value obtained based on the fitting inclination angle is discretized and is applied to the generalized load equivalent model of the electrolytic cell, so that the model operation can be simplified, and the current density distribution and change trend in the electrolytic cell can be analyzed more easily; and the state of the electrolytic cell can be judged more accurately and quickly.

This application provides a method, apparatus, device, and medium for photovoltaic (PV) equipment fault detection, relating to the field of PV equipment maintenance. The method includes: acquiring the output voltage and current values ​​of the PV equipment under different temperatures and light intensities; determining a first training sample set; augmenting the training samples to obtain a second training sample set; training the second training sample set using a local Mahalanobis distance algorithm; determining the anchor point set and fault region boundary for detecting PV equipment faults; and finally, performing fault detection on the target PV equipment based on this set. This approach reduces the number of samples required for training, improving work efficiency. Furthermore, the augmented training samples cover various operating conditions and models of PV equipment, greatly enhancing the versatility of the fault detection method. Moreover, the local Mahalanobis distance algorithm can identify subtle deviations, resulting in higher sensitivity of the fault detection results, achieving accurate and efficient detection of PV equipment faults.