54results about How to "Eliminate human interference" patented technology

Provided is a non-contact vibration measuring system used for measuring vibration on the surface of a film. The system comprises two cameras, a tripod, a light source and a computer, the cameras and the light source are arranged on the tripod, the light source is used for irradiating a measured area on the surface of the film, the cameras shoot images of the measured area and send the images to the computer, and the computer processes the images to obtain the vibration condition on the surface of the film. Compared with the prior art, according to the system, long-distance non-contact stereoscopic measurement of the vibration amount and the strain amount on the surface of a flexible bag body can be performed, the man-made stress interference of contact measurement with the flexible bag body is eliminated, the measuring precision is substantially improved, conventional measuring points are expanded to a measuring region, and vibration and strain conditions of any point in the measuringregion can be analyzed; besides, the calibration function is provided, measuring errors due to installation of a binocular optical system are eliminated, rapid online acquisition and high-efficiency offline processing are realized, and the all-weather test capability is achieved.

The invention discloses a warehouse environment management and control intellectualized system. The system comprises an image monitoring subsystem, a security protection subsystem, a smoke detection subsystem, an illumination subsystem, a temperature and humidity adjustment subsystem and a multimedia centralized monitoring platform. The system also comprises a local security protection early-warning sub-system and a cloud server. The multimedia centralized monitoring platform is connected with the image monitoring subsystem, the security protection subsystem, the smoke detection subsystem, the illumination subsystem and the temperature and humidity adjustment subsystem and is used for monitoring, adjusting and controlling the working conditions of each subsystem in a centralized manner.

The invention discloses a sampling system and a processing method for a gas chromatograph. The sampling system comprises a control system, a reversing device, sampling interfaces, tail gas interfaces, carrier gas interfaces, quantitative loop groups and chromatographic columns, wherein each sampling gas path is composed of a carrier gas interface, a quantitative loop group and a chromatographic column. When tested samples are to be injected, each gas feeding path is formed by connecting a sampling interface, a quantitative loop group and a tail gas interface together through the reversing device, so that the tested samples are synchronously injected into all quantitative loop groups through the gas feeding path; when the tested samples are analyzed, the tested samples in the quantitative loop group in each sampling gas path are injected into the chromatographic column through the carrier gas interface to be analyzed. By utilizing the sampling system and the processing method, the simultaneity and the precision in sampling of the tested samples are ensured, the problem of artificial interface factors in artificial sampling or respective sampling in two ways is avoided, and the precision and the reliability of a gas chromatograph used for detecting data of the tested samples are further improved.

The invention discloses a hardware automatic test tool and test method based on the Internet of Things and belongs to the technical field of automatic testing. The test tool comprises a to-be-tested terminal device testing device, a serial port debugging tool and a cloud data acquisition management system; the to-be-tested terminal device testing device uploads physical information, a function testing process and a testing result of a to-be-tested terminal device to a serial port debugging tool; the serial port debugging tool is used for receiving serial port physical information of the to-be-tested terminal device and test options for each function, and comprises communication protocol encapsulation and communication protocol analysis; the cloud data acquisition management system is usedfor managing device information, receiving instrument data acquired by the to-be-tested terminal device and analyzing the device data by applying data acquisition driving software. According to the test tool disclosed in the invention, the consistency of test result standards can be ensured, quality testing efficiency is greatly improved, and human resources and time cost are greatly reduced.

Provided is a method for recognizing a signal mode of a cold-rolled strip. The method comprises the following steps that the plate shape measurement values, measured by a plate shape instrument on line, of all measurement sections in the width direction of the cold-rolled strip are acquired, and the plate shape values of all the measurement sections are obtained; original data output by the plate shape instrument are input into a n-layer neural network and used as a feature extraction layer, and the network is made to extract the feature automatically through training for eliminating the trace of artificial use; and plate shape recognition is conducted through the improved quantum neural network based on a genetic algorithm. According to the method, the improved quantum neural network of a multi-layer excitation function optimized through the genetic algorithm is applied to a plate shape mode recognition technology, the training efficiency of the network is improved remarkably, and the problems that the precision and the real-time performance are not ideal, the network structure is complex, the training time is long, and the stability and robustness are poor by means of a traditional plate shape recognition method are solved effectively.

The invention discloses a digital detection and inspection system for coal. The digital detection and inspection system comprises a service management system, control equipment and a service executionsystem, the service management system comprises service management equipment; the service execution system comprises a plurality of task operation equipment related to a coal sample; the service management equipment is used for receiving sampling, sample preparation, assay, sample transmission and storage tasks, transmitting the tasks to the control equipment, and analyzing monitoring data related to the tasks and returned by the control equipment to obtain an analysis result; the control equipment controls the task operation equipment to execute the task, monitors the working state of the task operation equipment in real time in the execution process of each task, collects monitoring data related to the task, and transmits the collected monitoring data to the service management equipment; and the task operation equipment is used for executing the task issued by the control equipment. According to the invention, the intelligent degree of coal detection can be improved.

The invention discloses a power grid accident pre-arranged plan generation method. The method comprises the steps of obtaining the target power grid accident data, wherein the target power grid accident data points to a to-be-processed power grid accident; based on a neural network classification model of a radial basis function, determining an accident type of the to-be-processed power grid accident according to the target power grid accident data; determining the accident level of the power grid accident to be processed according to the target power grid accident data based on a neural network grading model of a probability sequence model; and determining the target pre-arranged plan data of the power grid accident to be processed in a power grid accident pre-arranged plan library according to the accident type and the accident grade. According to the invention, the accident handling pre-arranged plan can be automatically generated according to the power grid accident pre-arranged plan library, so that the accident handling efficiency can be improved, the artificial interference can be eliminated, and the labor cost can be saved.

The invention provides a method for visually positioning a screen of a mobile device, comprising the following steps: S1, displaying a pure color on a screen of the mobile device in full screen, wherein the pure color is different from the color of a part outside the screen of the mobile device; S2, acquiring an image at the mobile device; S3, carrying out bilateral filtering on that image; S4, performing Harris corner detection on the bilateral filtered image; S5, dilating the image after Harris corner detection; S6, thresholding the expanded image; S7, performing connected region processingon the thresholded image to obtain the center of gravity of the Harris corner point. The invention has the beneficial effects that the four vertex coordinates of the screen of the mobile device are obtained by using the visual positioning, artificial interference is eliminated, precision is ensured, the precision of the subsequent manipulator clicking is ensured, the purpose of accurate testing isachieved, the precision is high, the efficiency is high, and the automation production is facilitated.

The invention discloses a human anti-thrombin III heparin combination ratio detection method. The detection method comprises the steps of using an efficient size exclusion chromatography column and a sodium salt buffer solution with mobile phases comprising isopropanol and phosphoric acid at pH of 6.0-7.5 to calculate a combination ratio between the human anti-thrombin III and the heparin through a ratio of an area of characteristic peak and a corresponding standard curve; adding inactivated human anti-thrombin III into a standard product of the human anti-thrombin III according to a ratio, and manufacturing a standard curve according to change of the ratio of the area of characteristic peak. According to the method, the human factors are excluded; the accuracy and the precision of results are high, the experiment operation steps are simple, the detection time can be shortened, the experiment cost is reduced and the working efficiency of detectors is greatly improved.

The invention relates to the field of fire protection facility detection, in particular to an automatic sensitivity testing device of a water flow indicator for fire protection. The automatic sensitivity testing device comprises a machine frame, a PLC control system and a hydraulic press. A water outlet pipe, a water outlet connector, a first electric adjusting electromagnetic valve, a first flow measuring pipe and a first fixing ring are sequentially connected and arranged on the machine frame, and a second fixing ring, a second flow measuring pipe, a second fixing ring stretchable pipe, a fixing pipe, a connecting pipe, an electromagnetic valve, a water inlet pipe and the hydraulic press are sequentially connected and arranged on the machine frame. A pressure sensor is arranged on the hydraulic press. Electric adjusting electromagnetic valves are installed on the two flow measuring pipes. All the electromagnetic valves, flow sensors, a pneumatic electromagnetic valve set and the pressure sensor are connected with the PLC control system. The PLC control system is connected with a camera. According to the automatic sensitivity testing device, test installation and testing process and conclusion determination are automatically completed, man-made interference is eliminated, the detection quality and efficiency are improved, and automatic detection is achieved.

The application discloses a cash cabinet cluster with self-checking function, and a self-checking method. In a machine for cash operation, multiple cash cabinets and a checking cabinet are serially connected by utilizing a paper currency channel, and the paper currency channel is further connected with at least one counter, the paper currency in various cash cabinet is born by the paper currency channel, the paper currency is converted between the cash cabinet and the checking cabinet and is counted by a counter in the conversion process, so that the automatic checking work of the paper currency in each cash cabinet can be automatically accomplished. Through the cash cabinet cluster with self-checking function and the self-checking method disclosed by the application, the daily labor intensity of a bank teller can be greatly relieved, the artificial interference is excluded, and the reliability of the checking result is higher.

The invention relates to the fire-fighting facility field and particularly relates to an indoor fire hydrant pressure loss automatic testing device. The indoor fire hydrant pressure loss automatic testing device comprises a PLC control system, a circulation water tank, a pressure water pump and a tee joint; the PLC control system is connected to a camera; the water tank is provided with a water tank solenoid valve; the pressure water pump is provided with a water pressure sensor, an inlet valve and a pressure stabilization valve; the pressure stabilization valve is connected to the tee joint which is connected to an U-shaped tube; the U-shaped tube is connected to a cut-off solenoid valve and then is connected to a straight tube; the straight tube is connected to a upright tube; the upright tube is connected to the joint tee and is provided with a throttle solenoid valve; the straight tube is provided with a flowmeter; the straight tube is provided with a front pressure sensor and a pressure difference transformer; and the pressure difference sensor is connected to a upright tube; one end of the uprighttube is connected to a second cut-off solenoid valve and is connected to the fire-fighting water gun; and the upright tube is provided with a rear pressure sensor The indoor fire hydrant pressure loss automatic testing device enables the test process and conclusion determination to automatically finish, eliminates the man-made interference, saves time and labor, improves the detection quality and efficiency and realizes the detection automation.

The invention provides a lung function monitoring method, system and device and a storage medium, which are used for simultaneously monitoring lung functions of a plurality of users. The method comprises the following steps of: collecting a plurality of data streams corresponding to the lung functions of the plurality of users through a plurality of antennas; extracting CSI data according to the plurality of data streams, and processing the CSI data to obtain a plurality of breathing signals and an expiration stage of each breathing signal; according to the breathing signals and the preset azimuth information of each user, enabling the breathing signals to correspond to the users one by one; and according to the expiration stage of the breathing signal, processing to obtain a lung function monitoring result of each user. According to the lung function monitoring method, system and device and the storage medium provided by the invention, lung function indexes of users are collected, human interference is eliminated, and early symptoms of respiratory diseases can be found in time; lung function monitoring of a plurality of users can be carried out at the same time, and lung function monitoring results correspond to the users one by one; and the health standards of all users can be distinguished, so that the monitoring result is more accurate.

The invention provides a biochemical immune analyzer and a working method thereof. The biochemical immune analyzer comprises a disc, a rotating shaft, a tray, an elastic member and movable members, wherein the rotating shaft is a pattern shaft, and the inner wall of a through hole of the disc is in match with the outer edge of the rotating shaft and is suitable for the rotating shaft to pass through the through hole; the tray is arranged on the rotating shaft in a sleeving mode, and a through hole matched with the outer edge of the rotating shaft is formed in the tray; the elastic member is arranged inside the rotating shaft; and parts of the movable members connected with the elastic member are positioned outside the outer edges of the rotating shaft, and the exposed part of the movable members have arc-shaped surfaces. The biochemical immune analyzer and the working method thereof have the advantages of simple structure, complete functions, convenient operation and the like.

The invention relates to the technical field of sow management. In order to solve the problem that in the prior art, a body surface temperature measurement mode is adopted to identify whether sows are in oestrus or not, so that the accuracy of an identification result is low, the sow oestrus management method comprises the following steps that S1, the body surface temperature and the night exercise amount are monitored, and the basic body temperature and the basic night exercise amount are obtained according to the body surface temperature and the night exercise amount; s2, starting from the predicted estrus day, according to the monitored body surface temperature and the night exercise amount, the periodic average body temperature and the periodic night exercise amount are obtained; s3, judging whether the body temperature continuously rises and a decline inflection point appears or not, and whether the amount of exercise at night rises or not; and S4, when it is judged that the body surface temperature continuously rises, a declining inflection point appears, and meanwhile, the night exercise amount rises, whether the current period is in a predicted estrus period or not is judged, if yes, estrus early warning is sent, and if not, manual intervention early warning is sent.

The invention relates to an attribute network embedding and parameter-free clustering-based Bilibili user community discovery method, which comprises the following steps of: constructing an attributenetwork G according to the existing Bilibili user data, converting an adjacent matrix and an attribute matrix into an embedding vector H by utilizing an attribute network representation framework, operating a k-means algorithm on the H, calculating the minimum intra-group variance within T times under different k values, calculating the maximum curvature index and the second maximum curvature index with the highest occurrence frequency in I times to obtain corresponding k values ka and kb, respectively operating k-means algorithms with IT secondary community number ka and community number kb,calculating the maximum modularity Qa and Qb of the clustering result, obtaining the k value corresponding to the larger value in Qa and Qb as the community division number, and finally realizing community discovery by using the k-means clustering algorithm. According to the invention, the parameter-free algorithm is used to replace manual assignment of the number of communities, human factor interference is reduced, and the accuracy and stability of community discovery are improved.

The invention relates to the field of assessment systems, in particular to a public security performance assessment system, which comprises a first unit, a second unit, a third unit and a fourth unit,The second unit is used for collecting attendance information of the jurisdiction ranges of team departments in all departments of the city straight and examining the first unit; The third unit is used for collecting the attendance information of the jurisdiction range of each department team department in the city and examining the second unit; The fourth unit is used for collecting the attendance information of the jurisdiction ranges of all departments of the city straight and examining the third unit; And the fifth unit is used for collecting the attendance information of the jurisdictionrange of the city bureau and examining the fourth unit. According to the invention, the assessment is transparent, can be dynamic and timely, and is convenient to check.