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 provides a production line quality monitoring method, device and system. The method comprises the steps that target monitoring parameters of all equipment units in a production line areacquired; inputting the target monitoring parameters into a trained first neural network model, and determining fault state information of each equipment unit through the first neural network model; and inputting the fault state information of each equipment unit into a trained second neural network model, and determining the overall fault state of the production line through the second neural network model. The quality of the production line is monitored and judged in an artificial intelligence algorithm mode and can be monitored in an automatic mode, the efficiency of monitoring the qualityof the production line is greatly improved, and the fault state of each equipment unit of the production line and the overall fault state of the production line can be judged in real time.

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 relates to an online oxidative wear state monitoring method based on color extraction of a wear particle image. The online oxidative wear state monitoring method is used for carrying out image acquisition on oil which possibly carries oxidative wear particles. A method for realizing image clearness is provided for the condition that an acquired wear particle image is fuzzy. A clear wear particle image obtained by the method has a pure background; wear particles have clear outlines and color features, then the color features of the wear particles are extracted, and a corresponding relation model of the color features and the oxidative wear state of the wear particles is provided; an occurred oxidative wear type is judged for newly acquired wear particles according to the corresponding relation model. According to the online oxidative wear state monitoring method disclosed by the invention, the problem that an image is fussy by reasons of movement of wear particles, color of oil and the like, resulting in failing to obtain color information of the wear particles accurately, is effectively solved; the method provides a theoretical basis and guidance for application of online monitoring of oxidative wear in an industrial field.

The invention discloses a SOH (State of Health) coefficient regulation method and device for a power battery. The method comprises the following steps: carrying out discharging on a power battery to be regulated; acquiring discharge data of the power battery in the discharging process; according to the discharge data, judging whether to regulate a current SOH coefficient of the power battery; when judging that the current SOH coefficient needs to be regulated, acquiring a regulation strategy; in the next charging process, regulating the current SOH coefficient by using the regulation strategy so as to obtain a target SOH coefficient of the power battery. According to the method, by judging whether to regulate the current SOH coefficient according to the discharge data in the discharging process, acquiring the regulation strategy if the current SOH coefficient needs to be regulated and regulating the SOH coefficient according to the acquired regulation strategy in the next charging process, real-time judgment and regulation on the SOH coefficient in the using process of the power battery are implemented, and accuracy of the estimated SOH coefficient is improved.

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 an intelligent scoring system and method for ping-pong. The system comprises a high-speed camera, an acquisition card, an acquisition card driver and a scoring module. The acquisition card and the acquisition card driver are used to output, to the scoring module, real-time image information with fixed frame rate acquired by the high-speed camera. The scoring module recognizes movement directions and movement states of a ping-pong ball to judge whether the present game is finished or not so as to score. The movement states include states about whether the ping-pong ball is on the table, on the net or out of bounds and whether a ball player catches the ping-pong ball or successfully plays the ping-pong ball over the net. By means of the technical scheme of the invention, winning or losing can be judged accurately in real time according to the ping-pong ball and the current score result can be recorded.

The invention provides a network card drive design method based on data compression fusion, and belongs to the field of computer communication. The method aims at solving the problems that in the prior art, a mode of simultaneously conducting receiving and sending is adopted in the network card drive design method of a server system, and therefore transmission efficiency is low. The method guarantees high efficiency and high real-time design of network card drive of the server system.

The invention discloses an acceleration based automatic locating and alarming system for a traffic accident. The system is that the acceleration is determined on real time, the longitude and latitude are displayed on real time, and the function of automatically sending information is performed. According to the system, the GPS and the GSM are adopted to provide a complete data communication platform to reach the purpose of automatically locating and alarming, and therefore, the death due to delayed rescue can be greatly reduced.

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 relates to a real-time prediction method for a gas leakage influence range, and the method comprises the following steps: obtaining the storage pressure of non-liquid, calculating the pressure at a non-liquid leakage outlet according to the storage pressure, and judging the actual state of non-liquid leakage; detecting the outlet rates of the non-liquid leakage outlet in different non-liquid leakage actual states, calculating the crevasse area of the leakage outlet according to the discharge rate and the storage density of leaked chemicals, and obtaining the diameter of a leakagehole; and calculating the diameter of an emission source according to the obtained diameter of the leakage hole in combination with the density of the leakage substance and the density of the leakagesubstance on the leakage hole, and determining the area of the emission source. The area of the determined emission source is more accurate, human interference is avoided, and real-time judgment of the diffusion influence range is achieved while it is guaranteed that the method has practical guiding significance for emergency command.

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 discloses a TFT-LCD (Thin Film Transistor-Liquid Crystal Display)-based defect authenticity detection judgment method and system. The method comprises the following steps: acquiring defect position information; acquiring a defect image and two reference images according to the defect position information; performing local image alignment by using the defect image and the two reference images to obtain two aligned images; performing image enhancement and Gaussian bilateral filtering on the two aligned images and the defect image; and calculating the absolute value of the difference between the filtered defect image and each filtered alignment image, and comparing the absolute value with a set threshold value to obtain two defect result images so as to judge the authenticity of the defect. By obtaining the defect image and the reference image of the adjacent position, the difference between the images is reduced, the authenticity of the defect is judged in real time, and the defect judgment speed and accuracy are improved. The visual detection system has the advantages of being high in judgment speed, good in effect and easy to set.

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 provides a displacement measuring method. The displacement measuring method includes: providing a displacement measuring system, wherein the displacement measuring system comprises a laser and a data acquiring and processing unit, and laser light output by the laser is divided into an o-light component and an e-light component with phase difference; via the data acquiring and processing unit, converting a light intensity signal of o-light into a voltage signal Vo, converting a light intensity signal of e-light into a voltage signal Ve, seeking a sum of light intensity of the o-light and the e-light so as to obtain a total power tune curve Vt, wherein Vt=V0+Ve; and judging a direction: seeking difference Delta (Vt) of the signal Vt, and calculating I, wherein I=Delta (Vt) x (Vo-Ve), when the value of I is larger than 0, the direction of the displacement is judged to be the first direction, when the value of I is smaller than 0, the direction of the displacement is judged to be the second direction, and the first direction and the second direction are opposite.

The invention relates to an indoor and outdoor short circuit identification method based on a meter box monitoring terminal and an intelligent electric meter. The method comprises the following stepsof: (1) collecting the current of a main incoming line of a meter box; (2) calculating a sudden change value between adjacent sampling current points; (3) judging whether the adjacent current sudden change value belongs to a specific interval, if yes, judging that a short-circuit event occurs, and entering step (5); if not, judging that no short-circuit event occurs, and entering the step (4); (4)performing current data acquisition on each electric meter and returning to the step (1); (5) collecting the current data of each electric meter, and calculating the change value between the currentdata and the previous current data; (6) judging whether the current change value belongs to a specific interval b1 or not and whether the current belongs to a specific interval b2 or not; if yes, judging that the electric meter user is short-circuited; and if not, judging that the electric meter user is not short-circuited; and (7) if it is judged that short circuit does not occur in all the electric meter users, judging that short circuit occurs in a certain user in the meter box. Whether an indoor or outdoor short circuit occurs or not can be analyzed, and the rush-repair speed and efficiency are 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 is applicable to the field of mobile communication and provides a user traffic speed control method and system. The method includes the following steps: collecting user call-bill data from a network element and extracting data-service related information in the user call-bill data; according to the data-service related information and obtained user traffic package information, generating a traffic speed fluctuation identification of a user; according to the traffic speed fluctuation identification of the user and user identification information, adjusting the traffic speed configuration of the user; and according to the adjusted user traffic speed configuration information, the traffic speed fluctuation identification and the user identification information, controlling the traffic speed of the user. The user traffic speed control method and system realize real-time judgment of the reached quantity of user traffic through collection of the user call-bill data and prevent an arrearage risk resulted from traffic limit exceeding, reduce user complaint behaviors and ensure telephone expenses in data traffic use of the user through control of the user traffic speed.

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 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 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 offinished 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, andcan 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 method for automatically controlling the power flow of regional power grid lines, which specifically includes the following steps: acquiring the SCADA measurement section data of the power grid and the planned power flow data of each line and main transformer of the power grid, and calculating the whole network and each line The result of the power flow overrun plan; add the lines with the power flow overrun plan value exceeding the set percentage to the equipment early warning queue table and give an alarm prompt, and calculate the number of alarms accumulated by the lines in the equipment early warning queue table according to the set time interval; in the equipment early warning When the cumulative number of alarms of a line in the queue table exceeds the set upper limit of warning times, the switch connected to the line is automatically disconnected by remote control operation, and the automatic closed-loop control of the line flow is completed. The invention proposes a method for matching end-face time of power grid SCADA and PMU measurement data, realizes real-time judgment, intelligent early warning and automatic control of regional power grid power flow control, not only ensures control safety, but also improves automation capability of power grid power flow control.

The invention discloses a SOH (State of Health) coefficient regulation method and device for a power battery. The method comprises the following steps: carrying out discharging on a power battery to be regulated; acquiring discharge data of the power battery in the discharging process; according to the discharge data, judging whether to regulate a current SOH coefficient of the power battery; when judging that the current SOH coefficient needs to be regulated, acquiring a regulation strategy; in the next charging process, regulating the current SOH coefficient by using the regulation strategy so as to obtain a target SOH coefficient of the power battery. According to the method, by judging whether to regulate the current SOH coefficient according to the discharge data in the discharging process, acquiring the regulation strategy if the current SOH coefficient needs to be regulated and regulating the SOH coefficient according to the acquired regulation strategy in the next charging process, real-time judgment and regulation on the SOH coefficient in the using process of the power battery are implemented, and accuracy of the estimated SOH coefficient is improved.

The embodiment of the invention discloses a 110kV tie line relay protection setting value execution checking method and device and a terminal. The method comprises the following steps: reading a 110kV tie line operation mode and a protection information database; traversing to obtain switch positions and active power values on two sides of each 110kV tie line circuit, and judging a circuit operation mode; according to the line operation mode, retrieving a protection constant value order number corresponding to the line operation mode in a power grid protection constant value table database as a protection mode constant value; retrieving an operation record of an execution protection constant value order number of a corresponding line in an electronic command database as an execution constant value; and comparing whether the constant value order numbers of the protection mode constant value and the execution constant value field are consistent or not. According to the embodiment of the invention, the operation condition of the power grid equipment is automatically judged and monitored by using the data of a network command issuing system, a dispatching automation system and the like, so that a dispatcher can better monitor the operation condition of the power grid and control the operation condition of the power grid, and the potential safety hazard of power grid operation is reduced.

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.