121results about How to "Reduce detection workload" patented technology

The invention discloses a method and a device for identifying the traffic of an access network. The method comprises the following steps of: extracting a sub-stream, which corresponds to each data stream, from each data stream of the access network; sampling all the sub-streams to obtain sampling sub-streams; identifying the application layer protocol of each sampling sub-stream and establishing a mapping relationship between the sampling sub-stream and the application layer protocol according to the identification result; extracting initial data from each sub-stream and establishing sub-stream characteristic vectors which correspond to the sub-streams according to the initial data; clustering the sub-streams according to all the sub-stream characteristic vectors to form a plurality of clusters; establishing a mapping relationship between the clusters and the application layer protocols according to the mapping relationship between the sampling sub-stream and the application layer protocol; and identifying the application layer protocol, which each sub-stream in each cluster corresponds to, according to the mapping relationship between the clusters and the application layer protocols so as to identify the application layer protocol of the data stream which correspond to the sub-stream in the access network. The method and the device for identifying the traffic of the access network can perform high-speed on-line flow identification for the access network and can identify the application layer protocol of an encrypted data stream in the access network.

The invention relates to a three-window based common-path interference detecting method and a device and belongs to the field of optical interference detection. According to the method and the device, after parallel lights pass through three windows composed of a to-be-detected object and a rectangular window and then pass through a first lens, a one-dimensional periodic grating and a second lens in turn, the parallel lights are emitted toward an image sensor; the parallel lights are collected by the image sensor and a computer connected with the image sensor, thereby obtaining an interference image containing three patterns; the intensity distributions are respectively I-D/3, I0 and ID/3; and the intensity distributions are introduced into a formula, thereby calculating phase distribution of the to-be-detected object. The method and the device have the characteristics of excellent stability, low system complexity and simple phase recovering algorithm.

The invention discloses an image anomaly detection device and method. The device comprises an acquisition module and a comparison module; the acquisition module is used for synchronously acquiring image frames which a display terminal under detection displays; resolution of the acquisition module is greater than that of the display terminal; the comparison module is used for comparing the acquired image frames to a preset reference frame and judging whether or not anomalies occur to the acquired image frames according to comparison results. The image anomaly detection device and method has the advantages that quality of an image displayed on the display terminal is automatically tested so that detection labor is greatly relieved; testing results are more accurate, and chances that missing image anomalies occur in testing are slimmed; testing is simple, safe and reliable, and defects of a manual testing method are made up.

The invention discloses a method for detecting the balling performance of iron ore concentrates, comprising the following steps of: measuring the maximum molecular water of the iron ore concentrates by using a centrifugation method; measuring the maximum capillary water of the iron ore concentrates by using a saturated water absorption method; measuring the bulk density and the true density of the iron ore concentrates and calculating porosity; calculating the average particle diameter of the iron ore concentrates by using a laser granulometer; and calculating the balling performance of the iron ore concentrates by using a formula and giving out an evaluation order. The method has the characteristics that operation is simple, scientific and reasonable and has certain theoretical direction significance to the iron ore concentrate dosing operation. When the average particle diameter of the iron ore concentrates is less than 60 mu m, 200-mesh or 325-mesh raw materials are adopted for replacement, and the reliability of an estimation method is not affected by the average particle diameter.

The invention relates to a method, device and system for detecting citrus huanglongbing by low-altitude hyperspectral remote sensing. The method comprises the steps that a low-altitude hyperspectral remote sensing image of a citrus distribution area to be detected is obtained, wherein the remote sensing image includes distribution information of citrus plants and geographic information of the citrus plants; the hyperspectral remote sensing image is preprocessed; the preprocessed low-altitude hyperspectral remote sensing image is input into a citrus huanglongbing BP neural network model; and distribution results of the citrus huanglongbing in the distribution area are obtained. According to the detecting method, manpower, material resources and workloads of detection can be reduced for thedetection of the citrus huanglongbing in a large area of citrus orchards; rapid detection, accurate location, high efficiency and undamage can be achieved; the detection process is low in cost, easy and effortless; and the results are accurate and reliable.

This invention relates to a test agent and its process method to test the cholesterin in the lipoprotein with high intensity in blood serum. This invention aims to provide an improvement of the agent and its process method by which we can get the agent able to automatic biochemical analysis device in each type. The technique project and the contents are the flowing: a, high combining enzyme compound; b, surface activity agent; c, some antiseptic agent, stabilization agent and color source.

The invention discloses a rotary positioning device and a detection system for detecting pesticide residue on the surface of fruits, belonging to the field of pesticide detection. The rotary positioning device comprises a bottom plate, a fixed mount, a movable mount and a spring, wherein the upper part of the bottom plate is provided with a bottom stand column; the fixed mount is fixedly connected with the bottom plate; the upper part of the fixed mount is provided with a through hole for exciting light to pass through; the upper part of the movable mount is provided with a roller for driving a sample to be tested to rotate while the lower part of the movable mount is provided with a sleeve matched with the bottom stand column; the sleeve is sleeved on the bottom stand column; a positioning nut is arranged on the outer side of the sleeve; and the spring is sleeved outside the sleeve and arranged between the bottom plate and the positioning nut. According to the rotary positioning device and the detection system, nondestructive detection of the pesticide residue on the surface of fruits is realized with less detection time, low detection working capacity and high detection precision.

The invention discloses a detection device with a plastic fastener assembly, which comprises a device body, a base plate, a support plate, a detection frame, a mounting plate, a guide post and a ball screw extending below the device body, wherein the support plate is arranged above the middle of the base plate, the guide post is positioned between the base plate and device body, the detection frame is arranged above the support plate, a guide sleeve sheathed on the guide post is arranged at the circumference of the mounting plate, a mounting plate connection frame is fixedly connected above the middle of the mounting plate, the mounting plate connection frame is matched with the ball screw, a rubber pressure head is arranged below the middle of the mounting plate, a light sensor and a displacement transducer are mounted on the detection frame, and an electric cabinet and a warner are mounted on the device body. By adopting such a structure, the detection device with a plastic fastenerassembly is convenient to operate, and can reduce the detection workload, improve the production efficiency and ensure the detection accuracy.

The invention discloses a multiplex PCR detection method and kit for Shiga toxin-producing Escherichia coli and application thereof. The method and the kit thereof can simultaneously detect the genes consisting of stx1, stx2 and wzyO157 through a triplex PCR reaction, electrophoresis staining and ultraviolet visualization, subtypes consisting of stx1 and stx1c can be amplified by using a detection primer for the stx1 gene, subtypes consisting of stx2, stx2c and stx2d can be amplified by using a detection primer for the stx2 gene, and an O157 serotype strain can be identified by using a detection primer for the wzyO157 gene. According to the invention, the method and the kit can effectively detect stx and main variants thereof and can be used for distinguishing O157 from other non-O157 Escherichia coli, for directly detecting Shiga toxin-producing Escherichia coli in a food sample and for identifying a clinical strain and a food isolate.

The invention discloses a lung canceration region segmentation and classification detection system. Firstly, carrying out preliminary pre-segmentation by using a pre-segmentation model; screening pre-partitioned regions, carrying out gradient calculation on the pre-segmentation area; obtaining a main concentrated part of the misdiagnosis area, that is, tissue region edge, for these edge regions, segmenting the canceration area accurately by using the high-precision fine segmentation model, wherein only the edge area is involved in the fine segmentation algorithm, so that compared with the existing method for finely segmenting the whole tissue area, the calculated amount is remarkably reduced, and the balance between the rapidity and the accuracy of detection can be realized. According tothe method, the rapidity of the pre-segmentation model and the accuracy of the fine segmentation model are combined, the canceration region segmentation algorithm capable of meeting the actual application level can be achieved, the algorithm can be applied to the actual social production process, the detection workload is effectively reduced, and the diagnosis speed is increased.

A multi-acupoint dynamic channel and collateral detector comprises a microprocessor, an acupoint excitation assembly and a collection module. The acupoint excitation assembly is provided with an acupoint excitation terminal, an excitation power source module and an excitation power line, and the excitation power source module is controlled by the microprocessor. The collection module is provided with a collection assembly, an analog-digital conversion chip, at least one gate chip and a sampling resistor, and the gate chip and the sampling resistor are connected. The collection assembly comprises a busbar and a plurality of measuring terminals, the gated measuring terminal serves as a current measuring terminal, one end of the sampling resistor is grounded, and the other end of the sampling resistor is connected with the analog-digital conversion chip. The analog-digital conversion chip obtains voltage at the two ends of the sampling resistor. The microprocessor calculates equivalent impedance of channels and collaterals of a human body. The detector has the advantages that channel and collateral resistance and information of acupoints on the body of a patient can be measured at the same time, difference in collection conditions of the acupoints is reduced, and testing precision and efficiency of the acupoints are improved.

The invention discloses a track prompting method and a device, a storage medium and an electronic device. The method comprises the steps as follows: acquiring an adjustment instruction triggered by the operation of a human-computer interaction interface presented in a client of the virtual billiard game, wherein the adjustment instruction is used for adjusting a control operation applied to a target collision ball in a virtual desktop control area; in response to the adjustment instruction, determining a target grid intersected with the target collision ball from a virtual desktop grid set matched with the virtual desktop control area; performing collision detection on the target grid to obtain a collision detection result, wherein the collision detection is used for detecting an object collision ball and/or an object collision edge colliding with the target collision ball; generating a target motion track corresponding to the target collision ball according to the collision detectionresult; and displaying the target motion track on the client. According to the invention, the technical problem of low auxiliary line generation efficiency in related technologies is solved.

The invention discloses a method for screening out retired batteries of an electric vehicle through AI detection. The method comprises the following steps of firstly, carrying out preliminary evaluation on the retired batteries, screening out the retired batteries capable of being used in an echelon mode, then disassembling the retired batteries capable of being used in the echelon mode into corresponding battery cells, carrying out capacity grading on the battery cells, and carrying out reference performance test on the battery cells subjected to capacity grading; obtaining performance parameters of the battery cells, carrying out pulse current test on the battery cells to obtain pulse voltage characteristics of the battery cells, inputting the pulse voltage characteristics of the battery cells into a preset neural network model to obtain the capacity of the battery cells, and finally screening out the battery cells which can be used in an echelon manner according to the performance parameters and the capacity of the battery cells; and artificial intelligence being introduced to assist in detection of the battery cell so that the detection time and workload are reduced, and detection precision is improved.

The invention discloses a method and a system for judging the consistency of a metering device based on pattern recognition. The method comprises: collecting images of different parts of an inspectedammeter by an industrial microscope; conveying the collected images to a determination system for image processing; acquiring and storing feature signals of binary images and the images of the different parts of the inspected ammeter into a database as standard feature signals of ammeters of the inspected batch; obtaining feature signals of images of different parts of a delivered ammeter or an onsite ammeter of the same batch as the inspected ammeter; and comparing the feature signals of the delivered ammeter or the onsite ammeter with the standard feature signals stored in the database to obtain the similarity, and determining the delivered ammeter or the onsite ammeter is an ammeter as same as the inspected ammeter according to the similarity. The method provided by the invention can automatically identify that whether the ammeter delivered by the ammeter supplier and the inspected ammeter are in the same batch and whether the onsite ammeter installed on the user site is artificially replaced, thereby reduce the manual workload, and improving the working efficiency.

The invention discloses a disc-shaped disc hub core thickness detection method. The method uses a semi-automatic detection tool and comprises the following steps of: 1) selecting a detection tool; 2) stretching a positioning column along the direction far from a bent segment; 3) sleeving the positioning column by a disc-shaped disc hub core; and 4) rotating the disc-shaped disc hub core by one round. The method may effectively decrease detection workload, achieves convenient and fast detection, and is high in detection efficiency.