322results about How to "Realize automatic judgment" patented technology

The invention discloses an interface test method, a system, a computer device and a storage medium based on database comparison. The method comprises the following steps: a test interface is created in a user interaction interface, and request parameters of the interface are configured; the content that needs to be parameterized are parameterized in the user interaction interface; the test interface is called to add assertions; the test tool performs test operations, configure database statements and inputs for asserting framework invocations in the configuration file; accurate assertion is accomplished by comparing the return message with the result of database statement query configured in the configuration file. The corresponding test cases are generated one by one by substituting parameter values. Obtain the result and judge the test result one by one, and store the test data, test result and judgment result into the list. The method achieves accurate assertion from business logic,realizes automatic judgment of business logic, reduces manual input of regression test, and improves test efficiency.

The present invention discloses an image classification and processing method based on different illuminances. The realization method mainly comprises the steps: collecting video images with different illuminances as training sample images; extracting the features of the sample images as experiment data; performing learning training of the feature data, and forming a classifier; realizing the classification of unknown images with different illuminances; outputting unknown image classification results; automatically determining whether the illuminance processing needs to be performed or not according to the unknown image classification results; performing processing of the unknown images requiring illuminance processing; and outputting the final result images. The classification of images with different illuminances is realized, the problem is solved that the threshold determination error is big, the classification precision is greatly improved, and the work efficiency of the monitoring video image processing technology is improved.

The invention provides a detection method for types of cookers. The detection method for the types of the cookers comprises the following steps: any one of a first resonance circuit corresponding to ferromagnetic cookers or a second resonance circuit corresponding to non ferromagnetic cookers in an electromagnetic heating apparatus is switched on, and electromagnetic heating testing is carried out on a present cooker; in the process of the electromagnetic heating testing, current sampling is carried out on the switched-on resonance circuit; if an obtained first sampling current is matched with a first standard corresponding to the switched-on resonance circuit, the cooker is determined to be a cooker of the type corresponding to the switched-on resonance circuit. The invention also brings forward the electromagnetic heating apparatus. Through the technical scheme of the present invention, the types of the cookers which need to be subjected to electromagnetic heating can be accurately determined, so that through selecting an appropriate heating, so that the electromagnetic heating carried out on metal cookers of various types can be realized.

The invention discloses a Bladed fan load processing system based on a Matlab and particularly relates to fan BLADED load calculating preprocessing and postprocessing software based on MATLAB development. The system is divided into four modules, namely, the Bladed load calculating preprocessing module, the Bladed conventional load postprocessing module, the Bladed component load processing module and the Bladed load working condition self-evaluating module. The common load preprocessing and postprocessing process is automated through a calculation procedure, the manual processing time is shortened for load calculating personnel, the repeated work of the load calculating personnel is reduced, and the load preprocessing and postprocessing efficiency is improved. A load calculation model file based on a self-defined working condition table can be automatically generated, the extreme and fatigue load of each component can be automatically extracted and output, the design load of each component is output based on design and procedure generalization and summarization of each component of the complete machine system, the working condition is automatically evaluated and judged through the procedure according to the evaluation indexes of various working conditions, and whether all working condition simulation models and simulation time sequences are normal or not is fast judged.

The invention discloses a railway track real-time monitoring system and a data processing method thereof, and belongs to the filed of railway track safety. The railway track real-time monitoring system comprises a piezoelectric sensor, a collection box, a wireless sensor and a vibrator, wherein both the piezoelectric sensor and the vibrator are arranged on the railway track and connected with the collection box; the wireless sensor is arranged on a high-voltage power line; the collection box sends an encryption signal to the vibrator; the vibrator drives the railway track to generate the vibration; the piezoelectric sensor acquires a vibration audio signal on the railway track and sends the vibration audio signal to the collection box for processing; and the collection box transmits the vibration audio signal through the wireless sensor in a wireless or wired transmission way. In the invention, the vibration audio signal is taken as a data basis for analyzing the failure happening in front of a train, the monitoring blind zone of the railway track is eliminated, the integral collection of the fault analysis basis data is achieved, the failure happening in front of the train can be predicted through the data processing method, and the intelligentization and the netwoking of the monitoring system are improved greatly.

The invention discloses a digital body-building system which comprises a video acquisition module, a motion state acquisition module, a vital sign acquisition module, a data processing module, an action standard judgment module, an action guidance advice output module, an action command recognition module, a central processing unit, a three-dimensional teaching module, a man-machine operation module, a body-building result statistics module, a physical model building module, a virtual actuator, a virtual sensor and a simulation analysis module. The digital body-building system disclosed by the invention realizes automatic determination and guidance of body-building actions; by using the delivery function of a three-dimensional teaching video of the system, the repeated playback and learning of the teaching video or a guidance video can be performed, so that repeated viewing and understanding of body builders for each action are greatly facilitated, the body-building efficiency is improved, the actions are more standard, and the workload of teachers is also reduced; meanwhile, the comprehensive analysis on human body situations and the targeted body-building program planning can also be realized in a manner of combining a physical model and simulated analysis according to the situations of each body builder.

The invention discloses a method and system for diagnosing a Web application performance problem. The method comprises the following steps that filter, capture and deep packet analysis are carried out on the Web application data streams of a specific user through collecting equipment at a certain intermediate point or on terminal equipment of the Internet; TCP and HTTP layer QoS index measurement is carried out on the data streams of one-time Web application session, and TCP connection building Td, TCP retransmission Tr, client side TCP low window packets Tlw, HTTP downloading rate Ht, HTTP first response time delay Hd and HTTP return codes Hc are measured; correlation analysis is carried out on the indexes, and therefore whether the Web application performance problem is caused by a Web server or an IP bearing network or the terminal equipment is judged. The Web application performance problem can be automatically judged and prompted, and common network maintaining personnel can check network faults fast and conveniently.

The invention discloses a system and a method for realizing real-time tracking of a casting blank, belonging to the field of metallurgical continuous casting. The system comprises a casting blank cutting module, a quality signal processing module, a crystallizer liquid level fluctuation calculating module, a transition blank calculating module, a superheat degree calculating module and a casting blank and abnormal event matching module. According to the system and the method provided by the invention, the accuracy of an online quality judging system can be greatly improved through the real-time tracking of the casting blank; the automatic judgment of the casting blank can be realized; the labor intensity of staff on duty can be greatly reduced; the promptness and the effectiveness of judging the casting blank can be realized; the system and the method create a heating assembly and conveying condition; and meanwhile, the direct installation can be possible, and the production cost is reduced.

The invention provides a portable bearing fault diagnosis device and method based on vibration detection. The portable bearing fault diagnosis device comprises a vibrator sensor and a portable bearing fault diagnosis instrument, wherein the portable bearing fault diagnosis instrument comprises a shell and a circuit device; the circuit device comprises an A / D (Analogue / Digital) conversion module, a DSP (Digital Signal Processor) data analyzing module, an ARM (Advanced RISC Machines) data processing module, a storage module, a display module and a power supply module; the A / D conversion module is used for uploading an acquired and processed signal of a vibration sensor to the DSP data analyzing module for analysis and fault judgment; the ARM data processing module is used for receiving a processing result and distributing storage and display. The diagnosis method mainly comprises the following steps: a vibration signal is obtained by the vibration sensor; the signal is acquired by the A / D conversion module; the DSP data analyzing module is used for analyzing and processing; a fault analyzing result is stored and displayed. The portable bearing fault diagnosis device is simple and rapid to operate, and has high diagnosis precision and high automation degree; the real-time monitoring and the fault diagnosis of a rolling bearing fault can be effectively realized.

The invention discloses a home-based care monitoring system for old people. The home-based care monitoring system for old people comprises a video collection module, a vital sign collection module, a motion state data collection module, a data processing module, a dangerous action judgment module, a monitoring center, a body state evaluation module, a physical model building module, a holographic projection system, a virtual parameter actuation module, a virtual sensor, a simulation analysis module, a human-machine operation module and an alarm module. Automatic judgment and alarming of abnormal behaviors and body states of old people are achieved, and building of a physical model can be carried out in the monitoring process according to the detected data, so that simulation prediction analysis is achieved; on one hand, tracing of data is facilitated and multi-angle observation on actions of old people is facilitated; and on the other hand, predictive analysis of dangerous situations can be carried out in advance, the situations around old people can be displayed in front of a supervisor through the holographic projection system, and the supervisor can personally observe the living conditions of old people.

The invention discloses a weighing system and a weighing method having the self-calibration function. The system comprises an initiation unit and a calibration processing unit, wherein the initiation unit is used for storing effective zones, the effective zones comprise multiple data points confirmed by object weight values and current values, the calibration processing unit is used for acquiring a standard weight value of any standard object and determining whether data points confirmed by the standard weight value of the standard object and a current value acquired during measuring the actual weight value of the standard object are in the effective zones, if yes, weighing precision satisfies requirements, otherwise, weighing precision does not satisfy the requirements, and the standard object is a weighing empty bucket or the weighing empty bucket plus known-weight objects. Through the system, whether weighing precision satisfies the requirements is automatically determined.

The invention discloses a series-parallel four-degree-of-freedom transferring and stacking robot which is used for transferring and stacking in a production line. The series-parallel four-degree-of-freedom transferring and stacking robot is characterized by mainly comprising a support mechanism, a welding frame, an arm mechanism and a wrist, the support mechanism is a base of the robot and is composed of a waist servo motor, a harmonic speed reducer, support legs, a waist baseplate and a rotating baseplate, and the arm mechanism comprises a front big arm, a rear big arm and a small arm and has two translational degrees of freedom in the vertical direction in a plane. The series-parallel four-degree-of-freedom transferring and stacking robot has moving ability of four degrees of freedom, can realize high-speed transferring and stacking at the tail end of a grain production line, has the advantages of high transferring efficiency and stability in moving, can be combined with sensing technology to realize automatic judgment of whether package grabbing needs to be performed or not, and plays an important role in setting up an unmanned production line in the future.

The invention provides a low-voltage transformer area topology identification method based on power line carrier attenuation characteristics. The physical connection relationship between nodes is judged by utilizing the attenuation characteristic of a power line carrier signal and a step-by-step sending strategy of a power line carrier signal of a topology identification device, and the automaticidentification of the physical topology of the low-voltage distribution network can be realized without injecting a high-power or high-frequency signal into a power grid or a large amount of manual intervention; the manpower and material resource cost is saved, and the influence of judgment of the physical connection relationship between the nodes on the working stability of the power grid is avoided.

The invention relates to an image feature rapid matching method and system applied to mine machine vision, belongs to the technical field of mine safety, and solves the problems of low mine abnormal condition detection efficiency, poor real-time performance and low accuracy in the prior art. The method comprises the following steps: denoising a to-be-analyzed image; performing super-pixel segmentation to obtain a plurality of image blocks; calculating the information entropy of each image block, and obtaining the image blocks with the information entropy larger than a first preset threshold value; extracting feature points of the image blocks by using an SURF algorithm so as to obtain a feature point set of the to-be-analyzed image; describing feature points in the feature point set by adopting a Harr wavelet method to obtain a feature point descriptor set of the to-be-analyzed image; and matching the feature points in the feature point set of the to-be-analyzed image with the featurepoints of the target image based on the feature point descriptor set of the to-be-analyzed image to confirm whether the mine is abnormal or not. The method can quickly and accurately detect whether the mine is abnormal or not, and is beneficial to the technical processing of the mine abnormality.

The embodiment of the invention discloses a signal lamp fault detection method, device, equipment and medium, and relates to the field of traffic signal lamps. The method comprises the steps of obtaining operation parameters of a signal lamp to be detected; according to the operation parameters and pre-learned signal lamp operation rules, determining whether the operation state of the signal lampto be detected is in the fault state or the fault risk state. According to the signal lamp fault detection method, device, equipment and medium, the operation state of the signal lamp is automaticallyjudged.

The invention discloses a wind driven generator set fault diagnosis system and method. The system comprises a noise acquisition unit and a noise processing unit. The noise acquisition unit is used for acquiring noise signals in the cabin of a wind driven generator set in real time. The noise processing unit is used for calculating the sound pressure level and the frequency spectrum characteristic of the noise signals. The sound pressure level and the frequency spectrum characteristic of the noise signals are compared with the standard sound pressure level and the standard frequency spectrum characteristic of the noise signals of the wind driven generator set under the same working conditions, and occurrence of a fault on the wind driven generator set is judged if the comparison result indicates that the difference exceeds a preset range. Occurrence of the fault on the wind driven generator set is judged by comparing the sound pressure level and the frequency spectrum characteristic of the noise signals in the cabin with the standard sound pressure level and the standard frequency spectrum characteristic of the noise signals of the wind driven generator set under the same working conditions without influencing normal working of the wind driven generator set so that automatic diagnosis of the fault is realized, fault diagnosis is timely and effective, the noise signals are used as data sources and realization cost is low.

The invention proposes a psychosis automatic discrimination method based on multi-level feature fusion of functional connection networks, and the method comprises the steps: constructing the functional connection network by using resting-state functional nuclear magnetic (Rs-fMRI), calculating features of two levels: network attribute features and functional connection features, wherein the network attribute features include six network local attributes and six network global attributes; stacking all functional connection networks all functions to calculate an average network, reserving a certain proportion of edges, and taking the correlation of the reserved positions as the features of the connection hierarchy; simplifying the features of two levels through the group Lasso with the consideration to the independence of brain regions and the correlation between features, and respectively constructing a support vector machine (SVM) classifier, and obtaining a final classification resultin a weighted voting mode. The method realizes automatic discriminant analysis of whether or not suffering from mental illness, and improves the accuracy of diagnosis of psychosis, and the method canbe applied to actual clinical diagnosis.

The invention relates to a ward patient monitoring system and monitoring method based on Kinect equipment. The monitoring system comprises the Kinect equipment, a patient monitoring management equipment, an alarm module, a wireless communication module and a mobile terminal. According to the monitoring method, the real-time monitoring and analysis of the action, voice and position of a patient are carried out, and the automatic judgment and alarm of the abnormal behavior, the movement position and the voice request of the patient are realized. In the monitoring process, the data of the patient can be managed and stored in the monitoring process, the data and information can be transmitted to mobile terminals of a doctor and the relatives of the patient in real time, the timely understanding of the state of the patient is facilitated, and a monitoring suggestion is timely fed back to monitoring personnel. According to the system and the method, the real-time monitoring and alarm of the movement state of the patient can be carried out, large convenience is brought to the care of the patient, the information of the patient can be effectively managed, the subsequent treatment is facilitated, and the system and the method have good reliability and practicality.

A ground cover product increment updating method based on image collaborative segmentation and an eco-geographical zone rule bank. The method includes: collaboratively segmenting and extracting changeimage spots of a phase-two image; utilizing the eco-geographical zone rule bank to recognize and eliminate pseudo change; updating a ground cover product. The method specifically includes following steps: 1, adopting multi-temporal remote-sensing image collaborative segmentation technology; 2, adopting pseudo eliminating technology of the change image spots of the eco-geographical zone rule bank;3, updating the ground cover product. The technical problem of utilizing a multi-temporal satellite image, adopting collaborative segmentation technology to extract ground cover increment, namely ground cover change, classifying the change image spots, combining a global eco-geographical zone rule bank to perform pseudo eliminating change on classified increment image spots to improve reliabilityof an increment detection result and using increment image spots to update an old-temporal ground cover product to acquire a new ground cover product.

The invention discloses a sample data processing method and device. The sample data processing method includes that when an electronic questionnaire request is detected, acquiring the requested questionnaire information, and displaying the questionnaire information; gathering the finished situation of a user for the electronic questionnaire; judging whether the finished situation of the user for the displayed electronic questionnaire satisfies a preset valid judgment rule, and processing the electronic questionnaire according to the judgment result. The sample data processing method and device realize the automatic electronic questionnaire judgment, the error rate of the manual judgment is avoided, and the manpower cost is saved.

The invention discloses an all-weather automatic video monitoring system and method for the opening and closing states of a disconnecting switch. The system is composed of a disconnecting switch marked with a positioning reflection point, a total station, a digital camera, a microcomputer, a central control system of a power supply station, a video monitoring system and a switch sequential controlsystem. The microcomputer consists of a camera control unit, an acquisition chip set, a parameter calibration chip set and an opening-closing state recognition chip set; the digital camera is connected to a microcomputer; and the total station is connected to the microcomputer. According to the all-weather automatic video monitoring system and method provided by the invention, non-contact measurement of the opening angle of the disconnecting switch as well as automatic determination of the switching state is realized; the method and the corresponding system are not limited by the meteorological conditions; and the all-weather monitoring as well as sending of standard opening and closing signal is realized. The universality is improved.

The invention relates to a well control project monitoring system comprising a drill floor adjusting device, a drilling tool is inserted into a borehole through the drill floor adjusting device, a sludge circulation system passes through an inner cavity of the drilling tool, circulates in the annular space of the borehole out of a circulation tank and then is pumped into the inner cavity of the drilling tool through a sludge pump to form a closed loop, an anti-spilling pipe is connected to the upper portion of the borehole, the upper end of the anti-spilling pipe is provided with a wellhead sealer, a blowout preventer is arranged at the lower portion of the anti-spilling pipe, a grout pipe and a grout pump sequentially pass through the position between the wellhead sealer and the blowout preventer and then are connected with a sludge tank, the grout pipe is provided with a grout pipe flow sensor, a guide pipe flow sensor is arranged at the position, at a guide pipe of an outlet of the anti-spilling pipe, of the sludge circulation system, and a vertical pipe flow sensor is arranged at an inlet of the sludge circulation system. The well control project monitoring system is stable in performance, can achieve recording and wireless remote transmission of on-the-spot working information in real time, and provides the basis for integration of the spot and a foundation, information sharing, remote control commanding, accident replaying and investigation treatment.

The invention discloses an automatic titration device for detecting the color change of a solution based on machine vision, which includes a housing, a detection platform and a titration cup arranged in the housing, and a machine vision device for receiving The image signal of the color change of the solution, and the image signal is converted into a digital signal; the titration component is used to titrate the titrant in the titration cup; the stirring device includes a stirring piece for stirring the solution to be tested, and also includes an image Feedback device, a speed regulating device that drives the stirring member to stir, the image feedback device is connected to the speed regulating device signal to adjust the stirring speed of the stirring member; industrial control device, used to control the machine vision device, The titration component and the stirring device work, and receive the digital signal of the machine vision device to calculate the composition of the test product in the titration cup. The device provided by the invention can detect the composition parameters of multiple grains at one time.

The invention discloses a wiring detection method and device of a printed circuit board and a computer readable storage medium. The method comprises the following steps: segmenting and extracting alldifferential pair winding line segments in a differential signal line; based on the position information of each line segment in the differential pair winding line segments, determining a plurality oftarget line segment groups located at the protruding positions, for each target line segment group, determining a corresponding first target line segment according to the position information of a preset position on a parallel line segment in the current target line segment group, and determining a second target line segment which is the same differential pair as the first target line segment; calculating the length value of the first target line segment and the vertical distance between the first target line segment and the second target line segment to serve as the winding parameter value of the target line corresponding to the current target line segment group; and judging whether the target wire meets a preset wire winding rule or not based on the wire winding parameter value and thewire winding parameter standard value, therefore, the defects that time and labor are wasted and errors are likely to occur when whether the differential wire wiring rule meets the requirement or notis manually detected in the related technology are overcome.

The invention discloses an intelligent physical fitness management system. The system comprises a human-machine operation module, a video acquisition module, a motion state acquisition module, a dataprocessing module, an action standard judgment module, an action guidance suggestion output module, a motion state evaluation module, a fitness plan decision making module, a voice / video call module and a central processing unit. With the system of the invention adopted, the automatic determination and guidance of body building movements are realized; the repeated observation and understanding ofthe actions by body builders can be greatly facilitated; body building efficiency can be improved; the movements can be more standardized; the workload of coaches can be reduced; and the system has amovement condition monitoring and evaluation function, and therefore, targeted fitness plans can be generated according to different users.

The invention relates to an intelligent director method for sports events, which comprises the following steps: defining an intelligent director rule of an event, including a lens switching trigger condition and a corresponding director signal; receiving multiple paths of real-time signals of the competition field; and performing image identification on the video frame of the real-time signal, judging whether a triggering condition is met or not according to an identification result, and if the triggering condition is met, switching to a program directing signal corresponding to the triggeringcondition for broadcasting. According to the intelligent director method for sports events provided by the invention, the real-time video signal of the sports event is subjected to image processing,so that the automatic judgment of the competition condition is realized, the automatic switching of the program directing signal is further realized, the automatic intelligent program directing of thesports events is realized, and the work of manual program directing can be assisted or replaced.

The invention discloses a method and a device for generating an operation and maintenance knowledge base based on an operation and maintenance work order. The method comprises the following main steps: 1) setting a strategy of automatically generating knowledge in a knowledge management system; 2) handling the operation and maintenance work order and transmitting the operation and maintenance work order to the knowledge management system by an operation and maintenance flow system; 3) when receiving the operation and maintenance work order by the knowledge management system, intelligently analyzing according to the strategy set in the step 1); 4) in the intelligent analysis process, matching the operation and maintenance work order with the strategy, and generating corresponding knowledge by the system; 5) generating new knowledge and automatically prompting a knowledge base administrator to audit the validity of the knowledge by the knowledge management system; and 6) logging in the system for auditing the validity of the knowledge by the knowledge management administrator, and marking the audited knowledge as the valid knowledge which can be viewed and used. By the method, the knowledge based on the operation and maintenance flow process is accumulated and intensively collected, so that the risk that the operation and maintenance knowledge cannot be accumulated due to departure of an operation and maintenance staff is lowered.

The invention discloses a medical capsule endoscope motion control method, aims to solve the problem of external active control on a capsule endoscope during internal examinations by the permanent magnet capsule endoscope, and provides a method for changing spatial magnetic field distribution change on the basis of magnetic field motion to change magnetic force borne by the permanent magnet capsule endoscope so as to control the permanent magnet capsule endoscope to move in human bodies. The method comprises position attitude control in the sinking state of the capsule endoscope, position attitude control in the floating state of the capsule endoscope, automatic control from the sinking state to the floating state of the capsule endoscope, dynamic jumping motion in the fixed mode of the capsule endoscope and program control in the whole examination process.

The invention provides a distributed computer cloud computing processing method, comprising the following steps that S1, an edge server in communication connection with clients is configured, whereinthe edge server is used for identifying task requests of the clients and carrying out edge computing on tasks of the clients; S2, a task request list is configured in the edge server, wherein the taskrequest list is used for carrying out type matching on the task requests sent by the clients, and a matching result comprises an edge computing type and a cloud processing type; S3, the clients sendthe task requests to the edge server, the edge server carries out matching through utilization of the task request list, S4 is skipped to when the matching result is the edge computing type, otherwise, S5 is skipped to; S4, the edge server computes the tasks corresponding to the task requests sent by the clients and sends computing results to the clients; and S5, the cloud server computes the tasks corresponding to the task requests sent by the clients and send the computing results to the client.

The invention discloses a model generation method and device, and a lithology identification method and device. The model generation method comprises the steps of obtaining a training data set, wherein the training data set comprises multiple groups of instances, each group of instances comprises at least one piece of logging data and a data label, the at least one piece of logging data comprisesany one or more of a natural gamma curve, a natural potential curve, resistivity and a borehole diameter of the target area, and the data label is used for labeling lithology of the at least one pieceof logging data corresponding to different stratum depths; training a pre-constructed model by using the training data set to obtain a trained model, wherein the trained model is used for identifyinglithology of different stratum depths of the to-be-detected area. High automation of data processing and intellectualization of lithology identification can be achieved, the lithology identificationspeed and precision are improved, the labor intensity of interpreters is relieved, and the requirements for practical experience and professional technical knowledge of the interpreters are lowered.