42results about How to "Realize real-time judgment" patented technology

The invention discloses a path intercomparison method, which comprises the following steps of: obtaining the GPS geographic coordinates data of a current point at real time; working out the deviation range between the geographic coordinates data obtained at real time and the geographic coordinates of a preset path; judging the deviation range is more than or equal to a preset threshold value; if yes, determining the fact of deviating from the preset path; if no, determining the fact of not deviating from the preset path. The invention provides the path intercomparison method and a path intercomparison system, thereby not only achieving the effect of path intercomparison, but also reducing the realization cost.

The invention provides a PLL (phase-locked loop) locking state detection circuit structure, comprising a filtering circuit, a self-resetting sampling circuit, a comparison circuit and a state locking circuit, wherein the value of a trigger chain level number n of the self-resetting sampling circuit is determined according to specific PLL design indexes; the clock input ends of two trigger chains of the self-resetting sampling circuit are respectively controlled by a PLL feedback frequency and a frequency-monitoring phase discriminator output frequency, so that the judgment on the PLL input reference frequency and feedback frequency state is realized, meanwhile the determined output signal is connected with the input end of the comparison circuit, and the determination and sampling on the determination result are realized by utilization of the comparison circuit; the state locking circuit generates two types of locking signals consisting of a variable state locking signal and a constant state locking signal according to the output signal of the comparison circuit; the detection on the PLL locking state is finished. According to the PLL locking state detection circuit structure, the circuit structure is simple and flexible, and two types of locking signals consisting of the variable locking signal and the constant locking signal can be output according to different application requirements.

The invention discloses an electric arc stud welding waveform testing device and a quality evaluating method thereof. The electric arc stud welding waveform testing device implements waveform processing to electric current signals through a hardware waveform processing system and a software waveform processing system in the stud welding process, obtains the electric current waveform in the stud welding process, further obtains five quality parameters including arc generating time, an average value of electric arc burning currents, a fluctuating range of the electric arc burning currents, arc burning time and an instantaneous electric current value before arc blowout, contrasts the five quality parameters with standard waveform parameters, and consequently gives quick quality evaluation of finished welding. The quality evaluating method is a nondestructive and real-time test method, prevents a good welding adapter from being damaged in detection, can realize the 100 percent detection of the stud welding adapter, overcomes the detection omission problem that is caused by the fact that only 2 to 5 percent of the stud welding adapters are randomly inspected in traditional methods, and can simultaneously realize the detection with inner defects such as air holes and incomplete fusion and the like which are hard to be realized by the traditional appearance test methods.

The invention discloses a space-ground integrated AI intelligent water environment protection real-time monitoring system. The system comprises an unmanned aerial vehicle body, a terminal computing platform and water environment detection equipment; the unmanned aerial vehicle body is used for data acquisition and data transmission and comprises a positioning navigation module, a flight control module, an image acquisition module and a wireless communication module. The image acquisition module, the flight control module and the positioning navigation module are in communication connection with the terminal computing platform through the wireless communication module; the water environment detection equipment is used for collecting data information of a water environment; data acquired bythe water environment detection equipment is transmitted to the terminal computing platform in a wireless communication mode; the terminal computing platform is used for acquiring and processing dataand comprises a data processing module and a database engine module. According to the system, the monitoring range of water area monitoring is expanded, and the real-time performance and automation ofmonitoring are realized.

The invention relates to an enhanced high-speed lower-pass filtering method used for a static synchronous compensator. According to the actual compensating current output by the SVG in the last cyclic wave, a virtual generation current I<ref> (namely a theoretical sampling value) of a current sampling point is acquired, according to an sampling fluctuating value X capable of being allowed under the design requirements of a system, a value range of the compensating current i of the sampling point is acquired, wherein the absolute value of (i-I<ref>) is smaller than or equal to X, and on the basis of the value range, the compensating current of the sampling point is filtered. According to the enhanced high-speed lower-pass filtering method used for the static synchronous compensator, on the premise that a physical filter is not additionally arranged, pre-filtering of an interference current is achieved, and application cost of the method is greatly reduced. Ingenious judgment logic is designed, real-time judgment of the actual compensating current of the current sampling point is achieved, pre-filtering can be completed rapidly, delay hardly exists, and the filtering method has practical application value. Current signals after pre-filtered with the method are subjected to low-pass filtering, and thus filtering effect can be greatly promoted.

The invention discloses a gun propellant companding moulding method which can achieve process design, parameter push and parameter measurement cycle operation, and conduct real-time inverse calculation of design data to obtain suitable companding process parameters. The method uses a collaborative platform technology, and achieves process design, parameter push, reading and analyzing of parameter measurement results, and process cycle operation. Compared with the existing technology, the parametric real-time circulation of design, companding and detection links is achieved, and the foundation is provided for synchronous correction feedback; the technology of target parameter and detection parameter data real-time contrast is used to achieve real-time judgment on the dimension parameters of gun propellant products. Compared with the existing technology, the quality criteria of product online parameters can be provided in real time.

The invention discloses an expressway construction vehicle identification method, device and equipment, and a storage medium. The method comprises the steps of determining whether a vehicle has a parking behavior on an expressway according to a driving track of the vehicle; if the vehicle has the parking behavior on the expressway, extracting a parking characteristic factor of the vehicle according to a driving track within a preset time period; and inputting the parking characteristic factor into a pre-trained construction vehicle identification model to obtain a construction vehicle identification result. According to the expressway construction vehicle identification method provided by the embodiment of the invention, the construction vehicle on the expressway can be accurately and efficiently identified, and the scheme is low in cost and wide in application range.

The invention provides a non-invasive human body soft tissue injury risk monitoring system, which is used for monitoring the injury risk of human body soft tissue through a Hertz model. The system is characterized in that system comprises an information acquisition device for acquiring morphological parameters of the soft tissue at a preset position of a human body; an information processing device which comprises a first information processing part, a second information processing part, a third information processing part and a fourth information processing part, wherein the first information processing part is used for obtaining a correction factor alpha of the Hertz model, the second information processing part is used for correcting the Hertz model, the third information processing part is used for calculating the internal stress sigma(zz(t)) of the soft tissue through the corrected Hertz model, and the fourth information processing part is used for comparing the internal stress sigma(zz(t)) of the soft tissue with an injury threshold value of the soft tissue; and a control device which is used for controlling the information acquisition device to carry out information acquisition and controlling the information processing device to carry out information processing.

The invention relates to a distributed array temperature measurement abnormal data transmission monitoring system based on an electric power internet of things, and belongs to the technical field of magnetic variables. The system can obtain the magnetic induction intensity corresponding to the transformer; according to the magnetic induction intensity and the temperature difference value, constructing a temperature difference value sequence and a magnetic induction intensity sequence corresponding to each circle of the detection surface; according to the temperature difference value sequence and the magnetic induction intensity sequence corresponding to each circle of the detection surface, calculating to obtain a corresponding local structural index in the operation process of the transformer; and inputting the local structural index into a target support vector machine classifier, and judging whether abnormal operation occurs in the operation process of the transformer by using the target support vector machine classifier. According to the magnetic induction intensity, whether the operation state of the transformer is abnormal or not in the operation process of the transformer is judged in real time.

The invention relates to a behavior analysis method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining the position information and time information of a target object; determining a position vector corresponding to the position information through the position information and the time information; and determining whether the behavior of the target object is a preset behavior according to the position vector and a preset condition. According to the invention, the behavior identification efficiency can be improved.

The invention discloses an electric power transaction multi-market collaborative management and control method. The method comprises the following steps: establishing a corresponding electric power transaction subject admission qualification model for each electric power transaction platform; acquiring account information and transaction data of each electric power transaction subject from each electric power transaction platform in real time, and combining and storing the account information and transaction data by taking the electric power transaction subject as a dimension; selecting a delivery period and obtaining transaction data of each electric power transaction subject in the delivery period, and judging whether each electric power transaction subject has transaction qualificationin the delivery period or not by combining the transaction data with the electric power transaction subject main admission qualification model and a system preset judgment rule; and when the power transaction subject does not have transaction qualification in the delivery period, sending an early warning prompt to an administrator of the power transaction platform. According to the invention, eachpower transaction main body in the power transaction platform can be managed and controlled in real time. The invention further provides an electric power transaction multi-market collaborative management and control system.

The invention relates to the technical field of intelligent transportation, in particular to a deep learning retrograde motion detection method based on an embedded terminal, which comprises the following steps: setting a detector area in a vehicle retrograde motion multi-occurrence road section, and dividing the detector area into two continuous sub-areas; identifying whether a vehicle passes ornot is by analyzing and comparing the appearing time sequence of the two images in the detector; recognizing whether the vehicle has a retrograde motion behavior or not according to the relative motion direction of the moving vehicle, and inputting the vehicle as a sample into a deep learning neural network for learning training; and judging the occurrence of a vehicle retrograde motion behavior according to the vehicle driving direction, capturing a violation scene image, intercepting a violation video, and completing detection. According to the invention, by means of deep learning, boundarydetection is carried out by using a sobel operator, and a motion boundary formed in a background when a vehicle passes through a detector is identified, so that comprehensive judgment is enhanced, thejudgment accuracy is improved, real-time judgment of vehicle retrograde motion is realized, and a retrograde motion behavior of a traffic vehicle is relatively accurately and automatically identified.

The invention provides a networked automobile communication data abnormal transmission behavior detection method and system. The method comprises the following steps: acquiring uplink and downlink communication data to be detected between a vehicle and a cloud platform in real time; comparing the uplink and downlink communication data to be detected with normal transmission models corresponding to vehicle brands and vehicle types based on a qualified platform list library, and judging whether the uplink and downlink communication data to be detected have abnormal transmission behaviors or not, wherein the qualified platform list library is established by processing the communication data by taking a cloud platform address in the communication data between the vehicle and the cloud platform as a feature, and the normal transmission model is established by processing communication data based on a cloud platform address in a qualified platform list library by taking a vehicle IMSI number as a characteristic. The method is used for overcoming the defect that a data detection method in the prior art cannot be applied to intelligent networked automobile data transmission detection, vehicle transmission data is detected through a qualified platform list library and a normal transmission model, and real-time detection of networked automobile communication data transmission behaviors is achieved.