277results about How to "Reduced Quantity Requirements" patented technology

The invention discloses a fault reconstruction method for a simple redundancy flight control system of a long-endurance unmanned aerial vehicle. The redundancy is formed for the measurement of key navigation information by using two devices of main and backup sensors on the basis of the non-similarity principle, and two redundancies are guaranteed on an execution mechanism, so that the simple redundancy flight control system is formed. A comparison is made between information of the main sensor and the information of the backup sensor; when the times of the deviation of the information of the main and backup sensors greater than the threshold in unit time are more frequency, one sensor is broken down; the fusion is implemented through other normal navigation information for locating the broken device; and when one execution mechanism is broken down, the influence of the broken mechanism is complemented through the rest normal execution mechanisms to guarantee the flight safety.

The invention provides an intention recognition method and an intention recognition device under a dialogue framework. The method comprises the steps: obtaining the matching degree of a to-be-recognized corpus and rule monomers in a preset rule template, wherein the preset rule template comprises a plurality of rule monomers, and each rule monomer corresponds to one label; judging whether a matching degree greater than a preset threshold exists or not; if so, taking the label of the rule monomer corresponding to the maximum matching degree as an intention recognition result; if not, inputtingthe corpus to be recognized into a pre-trained intention recognition model. Moreover, the output of the pre-trained intention recognition model is used as an intention recognition result. When the rule template cannot effectively recognize the user intention, the machine learning model is used for recognizing the user intention. The user intention can be accurately recognized. The requirement forthe number of training samples is low. The development of artificial intelligence equipment such as a question-answering system and a dialogue robot is promoted.

The invention discloses an antenna multiplexing radio frequency device and a terminal. The antenna multiplexing radio frequency device comprises a plurality of radio frequency antennas, a plurality ofwireless antennas, a radio frequency circuit and a gating module. The radio frequency circuit comprises a 4G radio frequency front end module, a 5G radio frequency front end module, a WiFi radio frequency front end module and a GPS radio frequency front end module. And part of the radio frequency antennas are connected with the 4G radio frequency front-end module and the 5G radio frequency front-end module through the gating module. All wireless antennas are connected with the WiFi radio frequency front-end module and the GPS radio frequency front-end module through the gating module. The embodiment of the invention discloses an antenna multiplexing radio frequency device. The 5G radio frequency front-end module and the 4G radio frequency front-end module can multiplex part of radio frequency antennas, and the WiFi radio frequency front-end module and the GPS radio frequency front-end module can multiplex all wireless antennas, so that the requirement of a multimode communication terminal on the number of antennas is reduced, and meanwhile, the cost and the design complexity of the terminal are reduced.

The invention discloses a method for processing message and a device thereof, which are used in the route exchange equipment which supports the load balance group,. The route exchange equipment is connected with bi-layer exchange equipment, the route exchange equipment which support balance group is configured with mapping relationship between message HASH valve and VLAN ID, the bi-layer exchange equipment is configured with VLAN transmitting table item. The method comprises the steps as follows: after receiving the message, the route exchange equipment which supports load balance group calculates HASH value of the message, and according to the mapping relationship between the message HASH value and the VLAN ID configured thereon, acquires the VLAN ID corresponding to the HASH value of the message; the route exchange equipment adds the acquired VLAN ID to the message, and transmits the message to the bi-layer exchange equipment so that the bi-layer exchange equipment transmits the message according to the VLAN transmitting table item configured thereon and the VLAN ID in the message. By using the method, the problem that the HASH value of message information calculated by the balance group cannot be effectively utilized by the subsequent equipment can be solved.

The invention discloses a measuring method for inversing reservoir feeding flow procedure, comprising the steps: step I, performing observation and sampling to obtain the information of reservoir water level and discharging flow via a water level in front of the reservoir dam; step II, building a data assimilative state model and an observation model according to the information obtained in the step I; and step III, ascertaining the reservoir feeding flow procedures by a data assimilation algorithm according to the state model and the observation model obtained in the step II. The method disclosed by the invention can be used for ascertaining the reservoir feeding flow; compared with the prior art, the method disclosed by the invention can ensure smooth reservoir feeding flow, and avoid exceptional data like negative values and the like of the flow; the method also can supply the reservoir feeding flow procedure of minute time step, so as to reflect the flood peak information more truthfully; in addition, the method disclosed by the invention has low precision requirement to the water level gauge on the reservoir dam, so that the building and management costs of water level measurement stations are saved.

The invention discloses a field vibration load identification-based evaluation method and a system. The method comprises the steps of S1, obtaining the vibration acceleration time-domain data of to-be-tested equipment during the actual operation through the field test method; S2, subjecting the vibration acceleration time-domain data to mathematical treatment and obtaining the vibration acceleration frequency data of the equipment through calculating; S3, according to a pre-designed vibration simulation model of the to-be-tested equipment and a pre-determined main load exciting-force position of the to-be-tested equipment, inputting the vibration acceleration frequency data into the vibration simulation model, and obtaining the main load exciting force of the to-be-tested equipment through calculating; S4, subjecting the main load exciting force to mathematical treatment and obtaining the main exciting force load of the to-be-tested equipment through calculating. According to the technical scheme of the invention, based on the field vibration test and the simulated calculation, the actual vibration and force load environment for all parts and the sub-components of the equipment can be obtained according to limited and actually measured vibration data. The method and the system have the advantages of convenient operation, low testing risk, high evaluation accuracy and the like.

The invention discloses an antenna multiplexing radio frequency device and a terminal. The antenna multiplexing radio frequency device comprises a plurality of antennas, a radio frequency circuit, a gating module for connecting the plurality of antennas and a plurality of radio frequency front-end modules, and a control module for connecting the radio frequency circuit and the gating module. The radio frequency circuit comprises a plurality of radio frequency front-end modules working in different frequency bands; the control module is used for controlling the gating module to be in gating connection with the at least one antenna and the currently working radio frequency front end module, so that the currently working radio frequency front end module works through the at least one antenna.According to the antenna multiplexing radio frequency device provided by the embodiment of the invention, a plurality of radio frequency front-end modules with different frequency bands can transmitsignals or receive signals through the same antenna, so that antenna multiplexing is realized to reduce the requirement of a multimode communication terminal on the number of antennas, and meanwhile,the cost and the design complexity of the terminal are reduced.

The invention discloses a neutral network-based automatic coal drawing system for a fully mechanized coal mining face. The system comprises a system host (1), an electrohydraulic control system (2) and a plurality of hydraulic support pressure monitoring devices (3), wherein the system host (1) obtains external information through manual input or automatic transmission of the hydraulic support pressure monitoring devices (3), analyzes and processes the external information, processes and calculates the external information through a neutral network model to obtain a command signal, and transmits the command signal to the electrohydraulic control system (2); after the electrohydraulic control system (2) receives the command signal sent by the system host (1) or sent manually, the electrohydraulic control system (2) controls the opening and the closing of a coal drawing hole (44) of a fully mechanized coal mining face hydraulic support (4); the hydraulic support pressure monitoring devices (3) are used for monitoring the top coal pressure borne by the hydraulic support in real time and transmit monitoring data to the system host (1) in real time. The system can effectively solve the problem that automatic coal drawing is poor in adaptability to top coal thickness change and top coal and roof condition difference of the hydraulic support.

The invention discloses an LED (light-emitting diode) operating lamp adjusting the size and the shape of a lighting facula. The operating lamp is composed of a main lighting light source and an auxiliary lighting light source, wherein the two part light sources are realized through an LED array, the main lighting light source is divided into six regions which are respectively defined as W0,W1,W2,W3,W4 and W5; the auxiliary lighting light source is divided into two regions which are respectively defined as V1 and V2, each region is internally provided with a group of LED monomers, whether each group of LED monomers is lightened is controlled by a singlechip through a relay, and combinations of different regions form different sizes and shapes of irradiation faculae; and the main lighting light source and the auxiliary lighting light source also can realize adjustment of the lighting angle of a light source respectively through an angle adjusting mechanism, and the LED operating lamp realizes the control of switching-on and switching-off of a power switch, the size and shape of the main lighting or auxiliary lighting faculae size and the lighting angle through a key state on the control panel. Users adjust the required lighting effects through a control button according to the real lighting field requirement.

The invention discloses an organically-polluted soil remediation method which refers to a conveyer, a rotary kiln, a roasting furnace wall, a roasting chamber, a material inlet, a material outlet, a heating channel, a heating channel heat inlet, a heating channel heat outlet, a polluting gas outlet, a combustion furnace, a combustion furnace gas inlet, a combustion furnace heat outlet, a bag deduster, a bag deduster air inlet, a bag deduster smoke outlet, a soil particle outlet, an exhaust fan, a chimney, a deacidification device, a cooler, a cooler feed port, a cooler hot air outlet and a cooler discharge port. Since indirect heating desorption is adopted, hot air and soil are not in direct contact, energy consumption is low, desorption efficiency is high, and the soil can be thoroughly remedied; separated organic pollutants enter the combustion furnace to be completely combusted and decomposed by enriched oxygen, as a result, exhausted air quantity is small, secondary pollution is not caused, energy is saved, efficiency is improved, and investment is low.

The invention relates to the fields of forest fire prevention and digital image processing, in particular to a robust tracking method for a moving flame target in a forest region monitoring video. The method comprises the following steps of: representing a tracking target by using a multi-feature fusion model of which the weight is determined together by using coherent elements; handling the problem of discontinuity in a region through target probability based element weight adjustment in the tracking region; acquiring shape change of a forest fire target in a current frame by using a Gaussian mixture model probability based improved Mean Shift window adaptive algorithm; obtaining a new position of the forest fire target in the current frame by using an improved particle filter tracking algorithm based on flame pixel proportion in the region; realizing robust tracking of the forest fire target by using a new tracking algorithm combined with an improved particle filter and an improved Mean Shift; and recognizing combination and division of the flame in the forest region during motion to realize the tracking of a plurality of forest fire targets. Compared with the conventional tracking algorithm aiming at the forest fire target, the method has the advantages of higher tracking accuracy and higher robustness on the premise of guaranteeing real-time property.

The invention provides a model training method,a voice recognition method, a device, equipment and a storage medium. The method comprises the steps: carrying out the iterative training of a first preset voice recognition model according to a plurality of first training samples, and obtaining a first voice recognition model; fusing the first voice recognition model with a preset language model to obtain a second voice recognition model; inputting second voice sequences in the plurality of second training samples into the second voice recognition model to obtain a second text and a fusion scorecorresponding to each second voice sequence; screening out a target voice sequence from the plurality of second voice sequences according to the fusion score of each second voice sequence; and performing iterative training on a second preset voice recognition model according to each target voice sequence, the second text corresponding to each target voice sequence and the plurality of first training samples to obtain a target voice recognition model. The invention relates to artificial intelligence, and can improve the training efficiency of a voice recognition model.

The invention relates to the technical field of electronic communication, in particular to a system and method for managing terminal equipment through far-end equipment. A UDP and a TR069 are adopted for replacing TCP long connections, and a far-end span NAT is managed, due to the fact that the UDP conducts communication only as needed, so that the requirement for the number of servers due to the increase of the number of terminal equipment is greatly lowered, and the cost of terminal equipment far-end management is reduced; although, as the number of the terminals is increased, a cluster manner also needs to be adopted, the scheme that the number of server clusters is greatly smaller than that of TCP long connections can be adopted through cooperation of the load balancing capability; meanwhile, even if an STUN server fails, load balancing is conducted in a discrete mode, so that automatic load balancing is conducted when heartbeats of the terminal equipment occur, and the problem of service quality lowering caused by the server failure is effectively solved.

The invention discloses a target-domain classifier training method, a sample recognition method, a terminal and a storage medium. The invention aims to solve the problem that the scheme creation costof an existing classifier is high in the prior art. The invention provides a target-domain classifier training method. According to the method, training data are subjected to at least two times of iterative classification treatment. Meanwhile, according to the classification result of each iteration classification treatment, the data classification weight vector of each sample in the training datais adjusted. After N times of iterative classification treatment, the classification weight vector of each sample data can achieve the effect of matching the actual data distribution condition of a target domain. The invention further provides the sample recognition method, the terminal and the storage medium. Based on the characteristic that the data distribution of source samples in the targetdomain is the same as the data distribution of to-be-recognized sample data, a classifier which belongs to the target domain is established by combining a large number of marked auxiliary sample datain the source domain. Meanwhile, unmarked samples in the target domain are classified. According to the technical scheme of the invention, the requirement on the number of source samples in the targetdomain is not high. The method is easy in implementation and low in implementation cost.

The invention discloses a power grid neutral point flexible grounding current compensation system, which comprises a grounding transformer, a power electronic device, a controller and a rectifying circuit, wherein a neutral point of a primary winding of the grounding transformer is grounded, a phase line and a neutral line of a secondary winding of the grounding transformer are connected to an output end of the power electronic device, the controller is connected to each phase of a power grid bus and the power electronic device and is used for measuring voltage and current of the power grid bus and voltage and current of each circuit of the power electronic device and controlling the power electronic device to input current into the secondary winding of the grounding transformer, and the rectifying circuit provides direct current for the power electronic device. The system disclosed by the invention can realize various power grid neutral point grounding modes and can switch the various power grid neutral point grounding modes online, and solves a problem that the power electronic device bears high voltage.

The present invention discloses an image splicing processor, to increase the usage of a switch card interface. The image splicing processor is provided with a switch card and an input card connected therewith, an output card and a control card. The control card is further connected with the input card and the output card, and the image splicing processor is further provided with at least one of the following A, B, C types of cascade data channels the input card includes a first input card and a second input card; the A type cascade data channel is a cascade data channel directly connected between the first input card and the second input card; the output card includes the first output card and the second output card; the B type cascade data channel is a cascade data channel directly connected between the first output card and the second output card; the output card includes the first output card and the second output card; and the C type cascade data channel a data loopback channel directly connected for the first output card and/or second output card to return the data back to the switch card.

The invention relates to the technical field of remote sensing, and provides a ground object classifying method and device. The ground object classifying method includes the steps that a plurality of attribute section characteristics of a hyperspectral image are extracted to obtaina first image; attribute section characteristics of a laser scanning image are extracted to obtain a second image; the first image and the second image are fused to obtain a third image; a preset convolutional neural network is adopted to conduct characteristic extraction and classification on the third image to obtain ground object classifying results. According to the ground object classifying method and device, abundant spectral information of the hyperspectral image and accurate elevation information of the laser scanning image are complementary, and the problem is solved that due to inaccurate spectral information, the ground object classification is limited. Besides, the convolutional neural network is adopted to conduct the characteristic extraction and the classification, the requirements on the number of training samples are reduced, and at the same time, the accuracy of the ground object classification is improved.

The invention provides a gesture recognition method and system based on a neural network, and the method comprises the steps of building a training sample set, and carrying out the size normalizationprocessing of an image of a training sample; classifying the gestures in the normalized image, and making different segmentation tags; Enhancing the classified gesture images, constructing an FCN network model, and training the FCN network model by using the enhanced images; according to the method, optimizing the classification quality and the segmentation quality of the trained FCN network model, using the optimized FCN network model for identifying the collected samples, so that the method and the system are excellent in performance on a test data set, and the classification effect is better even if the method and the system are directly applied to other gesture libraries or living scenes without training.

The invention discloses a wireless sensor network SMT manufacturing execution control system, which comprises an SMT chip mounter, a printer, a solder paste thickness tester, a crest welder, an optical tester and an X-ray tester, and other processing equipment. Each piece of equipment has a control computer respectively and acquires the running parameters per se. The wireless sensor network SMT manufacturing execution control system is characterized in that: an environmental data acquisition node of a wireless sensor is arranged at each position of the production environment; a wireless sensor network forwarding node is connected with the control computer of each piece of the processing equipment; a server which can receive wireless node signals is arranged; and a cloud computing system is also arranged on the server to control each piece of equipment. Due to the adoption of the wireless network production control system, the system can realize the real-time aggregation, analysis, and monitoring of the production data, has the advantages of high production efficiency and high product quality, and improves the industrial automation degree.

The invention discloses a clamping device which comprises a support. A supporting plate is movably connected to the support. The portion above the supporting plate is used for installation of a working platform. A cantilever crane is movably connected to the supporting plate. A gripper is movably connected to the cantilever crane. A pitch oil cylinder is arranged between the supporting plate and the cantilever crane and used for controlling pitching of the cantilever crane. A clamping oil cylinder is arranged on the gripper and used for controlling the gripper to conduct clamping or releasing. The invention further provides a tunnel arch operating vehicle provided with the clamping device of any item. The clamping device and the tunnel arch operating vehicle have the advantages that by means of the structural design of the clamping device and the tunnel arch operating vehicle, clamping of structures such as steel arches can be conveniently, easily and safety achieved in the tunnel construction process, the requirement for the number of operators can be lowered, the labor intensity is lowered, the production efficiency is improved, and the construction safety is ensured.

The invention discloses an asymmetric boost unit based cascaded boost converter. Primary and secondary windings are used repeatedly, and asymmetric boost units are fused, so that the boost capabilityof the converter is improved greatly; two capacitors and one diode form a novel clamp circuit, energy of a leakage inductor is absorbed effectively, and the efficiency of the converter is improved; and the two capacitors are connected in series to reduce the voltage stress of an output rectifier diode effectively. Three diodes realize zero-current ON, and one diode realizes zero-current OFF.