45results about How to "Solve judgment problems" patented technology

The invention relates to a method for analyzing active access behaviors of internet users, and belongs to the field of big data analysis. The method comprises the following steps: constructing a user session (session) according to DPI spectral data of users for accessing the internet, analyzing the behavior tracks (Click behavior tracks) of the users for actively accessing the internet and generated affiliated pages through user behavior analysis. The core technology of the method is how to judge which pages in a click page set are click pages and which pages are affiliated pages (Hits or PageViews) generated by the click pages. Through the method, the behavior tracks of the users for actively accessing the internet can be visually and clearly analyzed.

The invention discloses a method for judging a locked-rotor state of a position-sensorless vector control permanent magnet synchronous motor. The method comprises the steps of A, calculating input power Pin and output power Pout of the motor; B, calculating an error value ERR, wherein ERR=abs(Pin-K1*Pout), and K1 is a coefficient; C, judging whether ERR is greater than or equal to a certain presetvalue P0 or not, if so, returning to the step A, and if not, judging that the motor is in a locked-rotor state, namely, an abnormal steady-state closed-loop state, and entering a step D; and D, blocking the pulse signal output to the inverter by a motor microprocessor. According to the invention, the locked-rotor state of the motor can be accurately judged, the motor is prevented from still entering the steady-state closed-loop state when being changed into the locked-rotor state, the motor is enabled to be in a high-frequency small-amplitude oscillation state, a protection strategy is perfected, the motor is effectively protected, the judgment problem of the locked-rotor state is fundamentally solved, modification is not needed after load replacement, and great convenience is brought tousers.

Objectives of the present invention are to provide a rumor detection method and device. The method comprises: through a rumor determination module, calculating to obtain probabilities of being able todetermine a rumor and of being unable to determine a rumor; after continuously inputting a certain message matrix into a GRU unit, if the correspondingly calculated probability of being able to determine a rumor is greater than a preset threshold, stopping continuously inputting the next message matrix to the GRU unit; and sending the last updated GRU unit status to the determination module for processing. The technical scheme of the present invention aims to solve the problem of the time at which an automated decision is made to perform event rumor determination, namely the time point at which accurate determination can be performed as early as possible.

The invention relates to a continuous casting bleed-out accident automatic disposal method based on liquid level automatic control. The method is characterized by comprising the following steps of 1,automatic monitoring and precise judging of bleed-out accidents; 1.1, monitoring before triggering of the bleed-out accidents; 1.2, judging of the bleed-out accidents based on liquid level control; and 2, automatic disposal after the bleed-out accidents. When the bleed-out accidents happen, the main phenomenon is that as a shell of a slab behind a crystallizer is torn, a lot of molten steel leaksquickly, so that the molten steel liquid level in the crystallizer is decreased quickly. According to the technical scheme, whether the bleed-out accidents happen or not is judged accurately by comparing the specific value of the liquid decreasing speed and the normal pulling rate and associate recognition with key factors such as a lower limiting value of the liquid level of the crystallizer skillfully, and the bleed-out accidents and abnormal accidents in other crystallizers are differentiated precisely.

The invention provides a method and apparatus for determining a UE ownership AP, and belongs to the field of wireless communication. The method comprises: respectively measuring the uplink channel quality of multiple APs from within UE to the same logic cell, and selecting an AP primary selection subset from the multiple APs according to obtained uplink channel quality information; and measuring the downlink channel quality from the APs in the AP primary selection subset to the UE, and determining the ownership APs of the UE according to obtained downlink channel quality information. The technical scheme provided by the invention can solve the problem of determining the ownership APs of the UE in a networking type in which multiple points belong to the same logic cell, and can apply a determining result to the switching of the ownership APs.

The invention discloses a unit testing system and method supporting table-driven underlying input. The system comprises a type resolver, a tree table device, an assigner, an underlying variable setting device, an underlying input setting device and a function calling interceptor; the type resolver is used for resolving a data type definition to obtain type information; the tree table device is composed of a tree control and a table control; the assigner is used for assigning a variable to an input value in the tree table device; the underlying variable setting device is used by a user to designate an underlying variable and add the same to the tree table; the underlying input setting device is used for querying the underlying variable which the user sets and calling the assigner and / or allowing an underlying function to continue executing; the function calling interceptor is used for intercepting calling of the underlying function and calling the underlying input setting device. The unit testing system and method has the advantages that underlying input is table driven, namely underlying input is totally controlled via a table, test data is simple to manage and maintain, test data is more reusable, unit test obstacles formed by calling coupling of the function are overcome, and unit testing efficiency is greatly improved.

The invention discloses a printed document evidence obtaining method for detecting authenticity of a document by using half-tone information, which belongs to the technical field of signal and information processing. The method is characterized by comprising the following steps of: after the document is printed twice, introducing sine noise into the document so that the printed document has half tone and generates four peak values in four quadrants of a frequency spectrum thereof; and obtaining an image block of each character through character partition, solving and normalizing a logarithm amplitude spectrum of the image block, designing a band-pass filter function with a peak value in four quadrants, judging whether the half tone exists by calculating the correlation between the normalized logarithm amplitude spectrum and the band-pass filter function, and further judging whether the printed document is subjected to secondary printing falsification. The method has the advantage of automatically judging whether each character image of the printed document has half tone to identify whether the document is subjected to the secondary printing falsification.

The invention provides a curve vehicle relative position classification method based on a vehicle-road cooperation system. The method comprises the following steps: obtaining messages of a vehicle HV, a road side unit and surrounding vehicles; judging the driving direction of the HV and the driving direction of the RV according to the information; judging whether the HV and the RV are on the same coaxial side of the coordinate system or not according to the coordinate system, and judging whether the two vehicles are on the same lane or adjacent lanes or not; and judging the driving directions of the HV and the RV according to whether the two vehicles are on the opposite adjacent lanes. The invention discloses a curve vehicle relative position classification method based on a vehicle-road cooperation system, which is used for judging the relative position of a vehicle in a curve based on the vehicle-road cooperation system, and solves the problem of judging the relative position of the vehicle under the conditions of shelters and weather in the prior art.

The present invention provides an online monitoring method for the quality of the produced water after refining the condensation water. The method includes an online monitoring on the PH value of the produced water after refining the condensation water. The present invention can monitor and control online on the quality of the produced water after refining the condensation water of the electricity station efficiently, stably, and sensitively.

The invention discloses an intelligent noise acquisition device for a mobile inspection platform. The intelligent noise acquisition device is characterized in that: firstly, two omnidirectional noise sensors are used for picking up and outputting noise signals, and sound waves are filtered by using the difference between phases of the sound waves received by the two omnidirectional noise sensors; and then two directional noise sensors are used for picking up noise signals, judging whether the noise is from a target sound source or not, further removing the noise signals of a non-target sound source in a shielding manner, and leaving the noise signals of target equipment, so that the environment background sound can be eliminated to the maximum extent, and only required sound waves are left. When the intelligent noise acquisition sensor is adopted on the inspection platform, noise signals of monitoring equipment can be distinguished more simply and quickly in a noisy environment, noise features are easy to extract, abnormal noise signals are found in time, and noise categories are diagnosed.

The invention discloses an MR Sensor-based mobile phone state identification method and a mobile phone. The method comprises the following steps of: 1, arranging at least one MR Sensor on the edge of an upper cover of the mobile phone; 2, arranging at least one magnet on the edge of a lower cover of the mobile phone in a way that a magnetic line of force of the magnet can horizontally run through the MR Sensor; 3, folding and unfolding the upper and lower covers of the mobile phone, and performing magnetic field induction detection on the MR Sensor; and 4, feeding a detection signal induced by the MR Sensor back to a central processing unit. The mobile phone capable of performing mobile phone state identification by using the MR Sensor comprises the central processing unit arranged in the mobile phone, and the magnet and the MR Sensor which are at least arranged on the upper and lower covers of the mobile phone respectively, wherein the magnetic line of force of the magnet horizontally runs through the MR Sensor when the upper and lower covers of the mobile phone are folded. The mobile phone is high in identification sensitivity, low in manufacturing cost and convenient to operate; and the method is used for identifying and judging the folding and unfolding state of various mobile phones.

The invention discloses a method for testing the non-inferior performance of a new drug when curative effect data obeys partial normal distribution, aiming at the condition that the curative effect data obeys partial normal distribution, the non-inferior performance of the new drug is tested so as to determine the non-inferior performance of the new drug relative to a standard drug, and meanwhile, the reliability of a detection result is ensured. The method comprises the following steps: S1, acquiring drug curative effect data in clinical tests: in a three-arm non-inferior clinical test, based on drug curative effect indexes, respectively acquiring drug curative effect data of three groups of clinical test results of a new drug group, a standard drug control group and a placebo control group, the curative effect data obeying partial normal distribution; s2, probability calculation of first-class errors: in the three-arm non-inferior hypothesis test model, a frequency method or a Bayesian method is used to calculate the drug curative effect data of the three groups of test results to obtain the probability of first-class errors, and the probability of first-class errors is the probability of occurrence of a standby hypothesis H1 when an original hypothesis H0 is established; and S3, non-inferior determination of the new drug: if the probability of making the first type of errors is greater than a given reference value, determining that the new drug has non-inferior relative to the standard drug, and the reference value is a critical value which is given in advance and has clinical significance.

The invention provides a hydraulic turbine set remote listening monitoring method, device and system. The method comprises the following steps: acquiring an original audio signal of a preset duration; performing data noise reduction on the original audio signal to obtain a target audio signal; performing characteristic extraction on the target audio signal to obtain a target characteristic value; and inputting the target characteristic value into a target fault model for fault detection to obtain a detection result of the original audio signal. Therefore, the problem that in the prior art, sound characteristics cannot be monitored or judged when the hydraulic turbine set runs is solved, on-site sound is analyzed and processed on line through the audio analysis technology, the remote listening of the hydraulic turbine set is achieved, and the requirement for monitoring the running state of the hydraulic turbine set is met.

The invention provides a detection method for an automobile girder. The detection method comprises the steps of performing tensile test on the automobile girder and detecting yield strength of the automobile girder, if the yield strength is not detected, tensile strength and elongation of the automobile girder are tested; if the tensile strength does not fit a first predetermined index and / or the elongation does not fit a second predetermined index, it is determined that a yield phenomenon exists in the automobile girder and the test is finished; and if the tensile strength fits the first predetermined index and / or the elongation fits the second predetermined index, a chemical composition test and a metallographic structure test are performed on the automobile girder. According to the detection method for the automobile girder provided by an embodiment of the invention, a determination problem when the yield phenomenon does not exist in tensile test of the automobile girder is effectively solved, tensile test results can be provided scientifically, rapidly and accurately, and mechanical properties of the automobile girder can be better controlled.

The invention discloses a judging method and device of overvoltage in a power grid. The method comprises the following steps of measurement equipment arrangement, wherein measurement equipment for measuring three-phase information and grounded circuit information in real time is arranged in a three-phase circuit and a grounded circuit respectively, and the measurment equipment includes first measurement equipment, second measurement equipment, third measurement equipment and fourth measurement equipment; data collection, wherein current which passes the first measurement equipment, the secondmeasurement equipment, the third measurement equipment and the fourth measurement equipment is collected respectively to obtain Ia, Ib, Ic and Io; overvoltage judgement, wherein according to comparison of numeric values of Ia, Ib, Ic and Io at the same time, whether or not an overvoltage phenomenon exists is judged. The method is simple and has the concise steps.

The invention discloses a printed document evidence obtaining method for detecting authenticity of a document by using half-tone information, which belongs to the technical field of signal and information processing. The method is characterized by comprising the following steps of: after the document is printed twice, introducing sine noise into the document so that the printed document has half tone and generates four peak values in four quadrants of a frequency spectrum thereof; and obtaining an image block of each character through character partition, solving and normalizing a logarithm amplitude spectrum of the image block, designing a band-pass filter function with a peak value in four quadrants, judging whether the half tone exists by calculating the correlation between the normalized logarithm amplitude spectrum and the band-pass filter function, and further judging whether the printed document is subjected to secondary printing falsification. The method has the advantage of automatically judging whether each character image of the printed document has half tone to identify whether the document is subjected to the secondary printing falsification.

The invention relates to the field of text word segmentation, and discloses a BOM text word segmentation method and device, equipment and a storage medium. The method comprises the steps of obtaining BOM text data to be subjected to word segmentation, and performing Chinese and English splitting processing on the BOM text data to obtain a segmented text set; reading a segmented text in the segmented text set; judging whether the segmented text is a Chinese text or not; if the segmented text is a Chinese text, performing word segmentation processing on the segmented text according to a preset jieba function to obtain a segmented word set, and determining the segmented word set as segmented word data; if the segmented text is not a Chinese text, screening and splitting the segmented text according to a preset English digit check screening algorithm to obtain segmented word data of English digits; and combining all the segmented word data into a segmented word data set, and determining the segmented word data set as a word segmentation result of the BOM text data.

The invention relates to an intelligent judgment and disposal method for a continuous casting outage accident. The method of the present invention includes: (1) automatic monitoring of the production status of the continuous casting machine, and collecting relevant process data; (2) judging the collected process data; Immediately after a cut-off occurs, an audible and visual alarm signal is issued to remind on-site operators to enter the scene; ② Output the emergency shutdown signal of the on-site flow control mechanism to shut down the flow control mechanism in an emergency; ③ Collect the tracking value L1 of the flow line length when the cut-off accident is triggered and the current real-time streamline length tracking value L2; ④ calculate the difference L between L2 and L1; length of the device—Y1)=L3, then a casting machine shutdown command is issued, and the automatic disposition of the interruption accident ends. The invention solves the hidden danger of a flow failure accident when the continuous casting pouring site is unattended.

The invention discloses a method and a system for extracting a bonded sample set based on a target. The method specifically comprises the following steps: S1, acquiring an original picture sent by an X-ray machine; s2, generating a plurality of different object sample set libraries according to the original picture; s3, acquiring a request containing a target object parameter information list; and S4, according to a request containing a target object parameter information list, extracting an object picture from the object sample set library, carrying out image data enhancement and synthesis processing corresponding to the target object parameter information, obtaining a sample picture corresponding to the target object parameter information, and determining all the sample pictures as an output sample set. According to the method, the object sample set library is generated for the object types with a small number in the training samples, so that the problem that the object types with a small number of training sets are dangerous and cannot be identified and judged is solved, and computer operation and storage resources are not excessively occupied.

The invention discloses a depth image error point removal method combining image semantics and three-dimensional information, which comprises the following steps: 1) collecting input data including a color image and a depth image with error points; 2) inputting a color image, and predicting a normal of the color image through a residual convolutional neural network; inputting a depth image with error points, and calculating a normal of the depth image by adopting a principal part analysis method; 3) inputting a color image marked with a potential depth image error point region, and predicting the potential depth image error point region in the color image through a convolutional neural network with cavity convolution; projecting a potential depth image error point region and two normal lines to three dimensions; and 4) calculating two normal differences of each point in the local neighborhood in three dimensions and the local density of each point to eliminate depth error points. The method has the advantages that the quality of the depth image is improved, and the effectiveness of restoring the depth image with noise by application such as depth completion is improved.

The invention provides a detection method for an automobile girder. The detection method comprises the steps of performing tensile test on the automobile girder and detecting yield strength of the automobile girder, if the yield strength is not detected, tensile strength and elongation of the automobile girder are tested; if the tensile strength does not fit a first predetermined index and / or the elongation does not fit a second predetermined index, it is determined that a yield phenomenon exists in the automobile girder and the test is finished; and if the tensile strength fits the first predetermined index and / or the elongation fits the second predetermined index, a chemical composition test and a metallographic structure test are performed on the automobile girder. According to the detection method for the automobile girder provided by an embodiment of the invention, a determination problem when the yield phenomenon does not exist in tensile test of the automobile girder is effectively solved, tensile test results can be provided scientifically, rapidly and accurately, and mechanical properties of the automobile girder can be better controlled.

The invention relates to a communication detection method, in particular to a CAN bus communication detection method of an aluminum electrolytic tank control system for judging fault points of the CAN bus communication of the aluminum electrolytic tank control system. The detection method of the present invention comprises the following steps: 1) writing the CAN bus communication detection program code into the memory of the detector; 2) incorporating the detector into the communication line; 3) judging the CAN bus communication state; 4) judging the CAN bus communication status is displayed through light emitting diode D1. The method of the present invention provides necessary detection means for CAN bus communication failures occurring in the harsh environment of strong magnetic field, high temperature and high dust concentration, and effectively solves the difficulty of judging and processing CAN bus communication failures of the slot control machine series on the aluminum electrolysis production site Big question. The invention is applicable to YFC-99 aluminum electrolysis intelligent fuzzy control machine, and also applicable to any control system with CAN bus as communication mode.

The utility model relates to the technical field of chicken raising, and provides a protective fence for raising chickens under a forest, which comprises two stand columns, a fixed frame is fixed between the two stand columns, a stainless steel net is fixed in the fixed frame, a cross rod is arranged at the bottom of the fixed frame, an elastic net is fixed at the bottom of the cross rod, and the elastic net is fixed at the bottom of the cross rod. The two ends of the elastic net are fixed to the stand columns, and elastic guiding pieces for guiding the transverse rods in a sliding mode are arranged on the two sides of the bottom of the fixing frame. The stainless steel net on the upper portion can prevent bred chickens from flying out and prevent external dangerous animals from jumping and invading, the elastic net at the bottom can reduce the influence of ground collision of the dangerous animals on the protective fence, and the elastic net is in a tensioning state under the elastic action of the spring. And the bell is completely accommodated in the groove, so that the bell is prevented from being influenced by wind power factors exposed outside, and the problem that judgment on invading animals is influenced due to the fact that the bell is easily influenced by wind power in the prior art is solved.

The invention relates to a method for analyzing active access behaviors of internet users, and belongs to the field of big data analysis. The method comprises the following steps: constructing a user session (session) according to DPI spectral data of users for accessing the internet, analyzing the behavior tracks (Click behavior tracks) of the users for actively accessing the internet and generated affiliated pages through user behavior analysis. The core technology of the method is how to judge which pages in a click page set are click pages and which pages are affiliated pages (Hits or PageViews) generated by the click pages. Through the method, the behavior tracks of the users for actively accessing the internet can be visually and clearly analyzed.

The invention discloses an acetate fiber tow splicing section detection method and device, and the method comprises the steps: enabling visible light to penetrate through a tow, enabling the visible light to be reflected by a reflector, enabling the visible light to penetrate through the tow again, and enabling the visible light to enter an illuminance array sensor; obtaining an illuminance data column according to the reflected light received by the illuminance array sensor; calculating illuminance average data according to the illuminance data column, and calculating the width of the tow; dividing the illuminance data column into a background data column and a target data column, and calculating average illuminance data of the target data column; and judging the current tow state according to the tow width and the average illuminance data of the target data column. According to the acetate fiber tow splicing section detection method and device, based on the illuminance detection technology, the corresponding absorption wave band of the tow is adopted as a light source to irradiate the tow, receive the emitted light of the tow, detect the reflected illuminance and carry out data processing so as to judge which working condition the tow is in currently, and the accuracy and effectiveness of equipment removal are improved; and material loss is reduced.

The invention relates to an automatic control method for preventing steel overflow in a continuous casting crystallizer. The method of the present invention includes: 1. Trigger early warning stage of mold overflow steel: 1.1 set mold overflow steel early warning upper limit Y1 and overflow steel trigger value Y2; 1.2 collect mold molten steel height parameter value W; 1.3 collect casting machine real-time pull Speed ​​parameter V; 1.4 When the mold molten steel height parameter W1>Y1, and the mold molten steel height parameter value W2 after 500 milliseconds is also greater than Y1, the early warning control of mold overflow steel is triggered; 1.5 Control the flow control mechanism to continue emergency shutdown; 1.6 Continue Real-time collection of mold molten steel height parameter value W3, if W3>Y2, then enter the next stage; 2. Automatic disposal stage after steel overflow triggers: 2.1 Start sound and light alarm, and record the streamline length L of the casting machine at this time as L0 ; When performing capping and final pouring, park the tail billet at Y3, judge if L‑L0>Y3, stop the machine, and the automatic disposal of overflowing steel ends. The invention solves the hidden danger of steel overflow accidents when the continuous casting pouring site is unattended.

The embodiment of the present invention provides an environmental protection hydrological monitoring data collection method and system based on artificial intelligence, which belongs to the field of data processing technology. The method includes: using a first sensor to collect data from a target object to obtain first collected data and using a second sensor to collect data from a target object to obtain second collected data; using the first collected data and the second collected data to perform correlation analysis on the first sensor and the second sensor to obtain a relationship analysis result; performing an abnormality analysis on the first collected data and the second collected data according to the relationship analysis result to obtain first abnormal data of the first collected data and second abnormal data of the second collected data; performing data prediction on the first abnormal data according to the first collected data to obtain first target data; performing data prediction on the second abnormal data according to the second collected data to obtain second target data; determining the target collection result of the target object according to the first target data and the second target data.

The invention discloses a unit testing system and method supporting table-driven underlying input. The system comprises a type resolver, a tree table device, an assigner, an underlying variable setting device, an underlying input setting device and a function calling interceptor; the type resolver is used for resolving a data type definition to obtain type information; the tree table device is composed of a tree control and a table control; the assigner is used for assigning a variable to an input value in the tree table device; the underlying variable setting device is used by a user to designate an underlying variable and add the same to the tree table; the underlying input setting device is used for querying the underlying variable which the user sets and calling the assigner and / or allowing an underlying function to continue executing; the function calling interceptor is used for intercepting calling of the underlying function and calling the underlying input setting device. The unit testing system and method has the advantages that underlying input is table driven, namely underlying input is totally controlled via a table, test data is simple to manage and maintain, test data is more reusable, unit test obstacles formed by calling coupling of the function are overcome, and unit testing efficiency is greatly improved.