35results about How to "Real-time accurate detection" patented technology

The present invention discloses a device and a method for detection of absolute positions and attitudes of hydraulic supports of a fully mechanized mining face. The device comprises a sensor group, adata processor and a target. The sensor group comprises a first reference photoelectric tracer, a second reference photoelectric tracer, a local photoelectric tracer and a dual-axis level. The detection method comprises the following steps of: 1, arrangement of reference points and installation of reference photoelectric tracers; 2, arrangement of transition points and installation of the local photoelectric tracer; 3, establishment of an east-north-up (ENU) geographic coordinate system and obtaining coordinates of the reference points; 4, obtaining of coordinates of each transition point according to a reference point A; 5, correction of coordinates of each transition point; and 6, obtaining of absolute positions and attitudes of the hydraulic supports. The device and the method for detection of absolute positions and attitudes of hydraulic supports of the fully mechanized mining face can detect absolute positions and attitudes of the hydraulic supports in real time, lay the foundation of construction of an accurate fully mechanized mining face geographic information system, and lay the groundwork for alignment of the fully mechanized mining face, rectification of the hydraulic supports and intelligent control of the fully mechanized mining face.

The invention relates to the tea set technical field, and more specifically relates to a capacitive water level water volume detection device and a boiling kettle, and a detection method; the capacitive water level water volume detection boiling kettle comprises a kettle body and a pedestal mutually electrically connected through a coupler; a conductive portion is arranged in the kettle body; the inner bottom face of the kettle body is provided with a conductive column, wherein the surface of the column is covered by an insulation material; the conductive portion and the conductive column covered by the insulation material commonly form a capacitor; the pedestal is provided with a control circuit; the conductive column is electrically connected with the control circuit through a coupler. The conductive column covered by the insulation material is arranged in the kettle body of the capacitive water level water volume detection boiling kettle; the boiling kettle body is directly employed so as to form the capacitor, so the water level water volume real time detection can be realized through the capacitance principle; the capacitive water level water volume detection boiling kettle can add water, can accurately and conveniently detect and control the water level of the boiling kettle, and is high in reliability.

The invention discloses a real-time constructor safety helmet detection method based on pedestrian detection. According to the method, firstly, large-scale marked samples are utilized to carry out multi-time iteration training for an Adaboost classifier extracted on the basis of ACF characteristics; secondly, the trained classifier is utilized to carry out pedestrian detection on a video sequence, and the precise position and the quantity of targets are determined; thirdly, locus analysis on a detection result is carried out, whether the detection result is wrong is determined according to the locus information, if a score of the detection result is not high, dump processing is carried out, the detection result with high score is tracked, a characteristic that a human head is at a top portion of the detection result is utilized, the portion of a safety helmet is locked, through color space conversion, and safety helmet detection is finally realized through utilizing a pixel ratio for determination according to the separation color channel statistics pixel information. The method is advantaged in that good robustness is realized for multiple occasions, and a pixel point statistics detection method based on HSV space has quite good effects for special color safety helmets.

The invention relates to the technical field of software defined networks, and especially relates to a DoS attack detection method oriented to a software defined network. The method comprises the following steps: taking Size of a Single Flow SSF, flow Address Growing Speed AGS and ratio of successful matching of flow table RSM as DoS attack detection features of the software defined network, and carrying out feature extraction and calculation on collected historical flow data; performing standardization and normalization processing on the historical flow data after being subjected to the feature extraction and calculation by using a linear function standardized method and a catastrophe progression method; taking the standardized and normalized historical flow data as a training data set, and constructing a DoS attack flow classification model of the software defined network by utilizing a conditional random fields CRF algorithm; and classifying real-time monitoring flow data of the DoSattack of the software defined network by using the generated classification module, and judging whether an abnormality exists. The DoS attack detection method oriented to the software defined network provided by the invention can classify the monitoring flow in real time and judge whether the abnormality exists, thereby performing attack detection.

The present invention discloses a high-throughput PCR micro-droplet fluorescent detection device including a micro-droplet chip, a sample charging system, a temperature control system and a fluorescent detection system. The micro-droplet chip includes a substrate layer and a closed cover plate layer, a reaction cavity is formed between the cover plate layer and the substrate layer, and the cover plate layer is provided with a sample charging hole; the sample charging system includes a micropin, a sample charging driving mechanism, a pressure driving mechanism and a sample charging box used foraccommodating samples and raw materials required for PCR, and the pressure driving mechanism provides pressure for the sample charging box so that the samples and the raw materials in the sample charging box are injected into the corresponding reaction cavity by the micropin; the temperature control system is used for detecting and providing a temperature for PCR circulation; and the fluorescentdetection system is used for obtaining excited fluorescence in the reaction cavity. By using the high-throughput PCR micro-droplet fluorescent detection device provided by the present invention, the micro-droplet preparation, nucleic acid amplification and detection of the samples are integrated by virtue of the integration and miniaturization characteristics of the micro-droplet chip, so that theoperation process is simplified, and external pollution and cross pollution of nucleic acids are effectively avoided.

The embodiment of the invention discloses a method and a device for detecting low-speed users in network video live broadcast and a system. According to the embodiment of the invention, a data fragment carrying a fragment number can be acquired, wherein the data fragment is acquired by carrying out time slicing on video data streams in network video live broadcast, the data fragment is sent to a client, synchronization information between a fragment number of a data fragment in a server and the fragment number of the data fragment in the client is acquired, and then detection for the low-speed users in network video broadcast is carried out according to the synchronization information. The scheme disclosed by the embodiment of the invention not only can detect the low-speed users in real time more accurately, but also greatly simplifies the implementation logic, and improves the detection efficiency.

The invention discloses a detection apparatus, system and method for photosensitizer concentration. The detection apparatus for photosensitizer concentration comprises an optical fiber, a reflector, acoupler, a first dichroic mirror and a second dichroic mirror, wherein one end of the optical fiber is provided with the reflector, and the other end of the optical fiber is connected with the coupler; and the coupler, the first dichroic mirror and the second dichroic mirror are sequentially located on the same straight line. The photosensitizer concentration detection apparatus is applied to thephotosensitizer concentration detection system, can conveniently and accurately capture autofluorescence and the fluorescence signals of a photosensitizer, quickly calculate an integral value and perform concentration analysis, is applicable to a method for calculating the concentration of the photosensitizer based on a fluorescence intensity ratio, greatly improves photodynamic therapy efficiency, reduces cost, and is extremely applicable to real-time in-vivo detection of an endoscope due to small size.

The embodiment of the invention provides a method and a device for detecting gravity center of a forklift and gravity center of a transport vehicle, the forklift comprises a lifting oil cylinder, a forklift arm, a pressure sensor and a distance sensor, wherein the forklift arm is used for lifting the goods according to the pressure generated by the lifting oil cylinder, the pressure sensor is usedfor detecting the pressure of the oil cylinder of the lifting oil cylinder, and the distance sensor is used for detecting the ground clearance of the forklift arm; the detecting method for the gravity center of the forklift comprises the following steps of acquiring the oil cylinder pressure of the lifting oil cylinder detected by the pressure sensor and the ground clearance detected by the distance sensor; calculating the cargo quality lifted by the forklift arm according to the oil cylinder pressure and the oil cylinder sectional area of the lifting oil cylinder; and calculating the real-time gravity center height of the forklift on the basis of the cargo quality, the ground clearance, the mass and the gravity center height of the forklift in the no-load state. According to the technical scheme of the embodiment, the gravity center position of the forklift and a transport vehicle can be detected in real time and accurately, and safe and reliable control of the forklift and the transport vehicle is realized.

The invention belongs to the technical field of no-fly airspace unmanned aerial vehicles, and particularly relates to a no-fly airspace unmanned aerial vehicle detection method. According to the invention, real-time and accurate unmanned aerial vehicle detection is carried out on unmanned aerial vehicles in a flight forbidding airspace, so that illegal flight unmanned aerial vehicles are effectively reduced through flight detection of the unmanned aerial vehicles. Meanwhile, the unmanned aerial vehicle flying in the airspace can be found more quickly and accurately, unmanned aerial vehicle countering measures can be implemented more quickly, losses caused by illegal flight of the unmanned aerial vehicle are reduced as much as possible, and the probability of safety accidents caused by theunmanned aerial vehicle is reduced. The detection result can detect the small unmanned aerial vehicle target, accurately identify what the target is and the approximate position of the target, and enable the algorithm to achieve the real-time capability. Considerable reaction time is brought for timely processing 'illegal flight 'of the unmanned aerial vehicle.

The invention discloses a method for detecting wearing of protective equipment before a miner goes down a well. The method comprises the following steps of: a, acquiring a video sequence from video monitoring equipment in a mine entrance monitoring area in real time; b, extracting corresponding video frames in the videos of the monitoring devices; and c, calculating the relative spatial distance information between each protection device in the video and the wearing position of the miner for the acquired front and rear groups of video frames; and d, detecting whether the protection equipment is complete for the video frame, if not, sending an alarm to a monitoring center, and then turning to b to continuously realize wearing detection of the miner protection equipment; and e, if the protective equipment is complete, judging whether the miner wears the protective equipment according to the detected spatial distance between the protective equipment and the miner wearing equipment, if theminer wearing the protective equipment is not standard, giving an alarm, and then turning to the step b to continuously realize wearing detection of the miner protective equipment. The method effectively solves the problem that in a 2D image, only gray pixels of a local HSV space are detected to determine whether a protection device is worn or not.

The invention relates to the technical field of intelligent building, and specifically provides an intelligent building multistage scheduling method, an intelligent building scheduling center and an intelligent building scheduling system. According to the invention, the method includes: when the abnormal detection result can be found out from the obtained detection results, analyzing the first position information of the first terminal equipment corresponding to the anomaly detection result; and determining a plurality of second terminal devices, comparing the second permission level of the device cluster corresponding to each second terminal device with the first permission level of the device cluster corresponding to the first terminal device, and adjusting the detection sensitivity andthe detection result transmission rate of the second terminal devices according to the comparison result. Thus, when the abnormality detection result exists, the terminal equipment with low authorityof the terminal equipment corresponding to the abnormality detection result can be compared for scheduling, so that accurate and real-time detection of the peripheral area of the position area corresponding to the abnormality detection result is realized, and timeliness and accuracy of detection can be ensured in case of emergency.

The invention relates to the technical field of refrigeration control, and provides a refrigeration method and control system capable of eliminating temperature disturbances. By controlling an electric compressor and a first solenoid valve to operate at a first preset speed and conduct in a preset control waveform during the initial stage of refrigeration when a passenger compartment and a batterypack are simultaneously refrigerated, the refrigeration efficiency is improved through the support of the electric compressor at the first preset speed, a second solenoid valve is further adopted todynamically control the connection and disconnection of a refrigeration circuit of the battery pack, the refrigerant pressure in the passenger compartment is lowered, then the interference disturbancedegree of the simultaneous refrigeration of the battery pack is effectively lowered, a smooth transition from high temperature to low temperature in the passenger compartment at the initial stage ofrefrigeration (a smooth transition from the initial stage of refrigeration to the stable period of refrigeration) is ensured, and a control valve of a vehicle system is used to provide comfortable user experience.

The invention discloses a software update method, a software update server, a client and a software update system. The software update method comprises the following steps of acquiring and saving software update information related to specified software; acquiring software installation information, related to the specified software, at the client; determining an update mode of the specified software according to the software update information and the software installation information acquired from the client, wherein the update mode comprises an update program for installing the specified software or an installation program for mounting an update version of the specified software; pushing the update mode and information required by updating to the client. According to the technical scheme provided by the invention, the update information is acquired and saved in advance, the software installation information of the client is acquired in real time and the software update mode is determined according to the software update information and the software installation information, so whether the specified software is required to be updated or not and a software update mode adopted for the software update can be detected accurately in real time.

The invention discloses a detection apparatus, system and method for photosensitizer concentration. The detection apparatus for photosensitizer concentration comprises an optical fiber, a reflector, acoupler, a first dichroic mirror and a second dichroic mirror, wherein one end of the optical fiber is provided with the reflector, and the other end of the optical fiber is connected with the coupler; and the coupler, the first dichroic mirror and the second dichroic mirror are sequentially located on the same straight line. The photosensitizer concentration detection apparatus is applied to thephotosensitizer concentration detection system, can conveniently and accurately capture autofluorescence and the fluorescence signals of a photosensitizer, quickly calculate an integral value and perform concentration analysis, is applicable to a method for calculating the concentration of the photosensitizer based on a fluorescence intensity ratio, greatly improves photodynamic therapy efficiency, reduces cost, and is extremely applicable to real-time in-vivo detection of an endoscope due to small size.

Provided is an esophageal stethoscope. The esophagus stethoscope comprises: a cuff; a tube having one end portion arranged inside the cuff and extending to the other end portion; a mounting member mounted on the other end portion of the tube; and a microphone arranged inside the mounting member, wherein the tube comprises at least one hole through which sound waves that passed through the cuff are provided inside the tube, and the microphone absorbs cardiac sound to convert the cardiac sound into a cardiac sound electrical signal and is electrically connected to an external device to transmit the cardiac sound electrical signal to the external device.

The invention relates to a glass kettle, a capacitive water level detection device and a method thereof. The capacitance type water level detection device comprises a high water level induction disc,a low water level induction disc and a capacitance detection circuit board, the high water level induction disc and the low water level induction disc are two conductive films which are fixedly arranged on the outer wall of the glass kettle body and correspond to a high water level line and a low water level line respectively; the capacitance detection circuit board is arranged on a chassis of theglass kettle body and is electrically connected with a single chip microcomputer of the glass kettle and is provided with a touch sensing chip, the high water level induction disc and the low water level induction disc are electrically connected to two induction input ports of the touch induction chip respectively; the capacitance detection circuit board detects a capacitance value through the two induction input ports and compares the capacitance value with a preset no-water capacitance value interval and a preset water capacitance value interval in the single-chip microcomputer or the touchinduction chip, and therefore whether the water level of the glass kettle reaches a high-low water level line is judged. The glass kettle is simple in structure and convenient to disassemble and assemble, non-contact detection is adopted, and safety is high.

The invention discloses a washing equipment water inlet control method and washing equipment. The invention provides a washing equipment water inlet control method. The washing equipment water inlet control method comprises the following steps of 1) starting the washing equipment, putting a to-be-washed object into the washing equipment, and weighing the to-be-washed object to obtain the weight Mof the to-be-washed object; 2) according to the weight M of the to-be-washed object, using the formula of Q=a*M^b+c, wherein a, b and c are all set values, and obtaining the set water inlet amount Qo;3) feeding water into the washing equipment, and detecting the water inlet amount of the washing equipment in real time to obtain the real-time water inlet amount Qa; and 4) comparing the real-time water inlet amount Qa with the set water inlet amount Qo, and judging the water inlet condition of the washing equipment; According to the washing equipment water inlet control method, the washing effect can be enhanced, and water resources are saved. The invention further provides the washing equipment which comprises a cylinder body, a water inlet pipe installed on the cylinder body and a water inlet valve installed on the water inlet pipe, and a water flow meter is arranged on the water inlet pipe.

The invention relates to the technical field of robot monitoring, in particular to an industrial robot fault diagnosis method and system based on infrared temperature measurement. According to the technical scheme, an image collecting module and an infrared temperature measuring module are used for shooting the robot at the same time, the position of each shaft motor in a visible light image is determined through a pre-established motor model, therefore the position of each shaft motor in an infrared image is determined, and the real-time temperature of each shaft motor of the robot is measured; and fault diagnosis of the robot is carried out. The industrial robot fault diagnosis method and system based on the infrared temperature measurement have the advantages that the image collecting module and the infrared temperature measuring module are used for shooting the robot at the same time, the visible light image and the infrared image are combined, so that the temperature of each shaft motor of the running robot is accurately detected in real time, and the accuracy of fault diagnosis is improved; and meanwhile, the actual temperature is compared with the temperature obtained through simulation calculation, and the accuracy of robot fault diagnosis is further improved.

The invention discloses a pressure detection device for a kitchen appliance, and the kitchen appliance. The pressure detection device comprises a base, a cover body, a rigid membrane, a magnetic piece, a sensing piece, and a detection unit, wherein the base is provided with a pressure leading hole; an accommodation chamber is defined by the cover body and the base; the rigid membrane divides the accommodation chamber into a mounting chamber and a pressure chamber, and is constructed to deform according to pressure changes of the pressure chamber; the magnetic piece moves according to deformations of the rigid membrane; the sensing piece is used to sense displacements of the magnetic piece; and the detection unit is used to acquire the pressure in the pressure chamber according to displacement information sensed by the sensing piece. The pressure detection device for the kitchen appliance disclosed by the embodiment of the invention has the advantages that the rigid membrane is adopted,so that the cost can be reduced, and the detection precision, the durability and the use reliability can be improved.

An optical detecting device capable of detecting a lift height of an optical navigation apparatus is disclosed. The optical detecting device includes a sensor module and a processor. The sensor module includes a sensor array and at least one detector strip. The sensor array is adapted to acquire navigation information of the optical navigation apparatus moved relative to a working surface by sensing an illumination area, and the detector strip has a detection region across an edge of the illumination area. The processor is electrically connected to the sensor module, and adapted to compute the lift height of the optical navigation apparatus relative to the working surface according to a detection result of the detector strip. According to the optical detecting device, the small-amplitude lifting height of the optical navigation equipment can be accurately detected in real time by using the detection strip.

The invention discloses a method and system for detecting the working state of ball mill equipment through monitoring video. The method includes: setting a marking unit that can rotate synchronously on the outer surface of the ball mill cylinder; The mark rotation video in which the cylinder rotates synchronously around its axis uses image recognition processing to identify the mark unit in the mark rotation video in real time, and converts it into a periodic correlation coefficient curve; detects the total number of rising edges of the correlation coefficient curve per unit time, Calculate the rotational speed, rotational angular velocity and rotational period of the ball mill cylinder according to the total number of rising edges; determine the current working state of the ball mill according to the relationship between the actual value and the normal value of any parameter of the rotational speed, rotational angular velocity and rotational period of the ball mill during work, And deal with it when it is abnormal. It can realize the automatic, real-time and accurate monitoring of the working state of the ball mill.

The embodiment of the present invention discloses a method, device and system for detecting slow users in network video live broadcast; the embodiment of the present invention can obtain data fragments carrying fragment numbers, wherein the data fragments are for network video live broadcast The video data stream is obtained by time cutting, and the data fragment is sent to the client, and the synchronization information between the fragment number of the data fragment in the server and the fragment number of the data fragment in the client is obtained, Then, according to the synchronous information, the detection of the slow user in the network video live broadcast is performed. This solution can not only detect slow users more accurately and in real time, but also greatly simplifies the implementation logic and improves detection efficiency.

The invention discloses a displacement detection system for tunnel space deformation, which is applied to a tunnel including a plurality of tunnel top pipes and / or tunnel shield pieces. The displacement detection system comprises a plurality of stress piece, at least one signal collector and a host computer, wherein the signal collector is in wired connection with the plurality of stress pieces; and the upper computer communicates with each signal collector. The invention further discloses a displacement detection method for tunnel space deformation, which comprises the step of providing a displacement detection system for the tunnel space deformation, wherein the displacement detection system includes a plurality of stress pieces and at least one signal collector, and the signal collectoris electrically connected with the plurality of stress pieces; and the stress pieces are attached to the wall of the tunnel, and each stress piece crosses a gap between adjacent tunnel top pipes or agap between adjacent tunnel shield pieces. The displacement detection system and method adapt to the environment with underground earth deformation, enables the flexible tunnel to be accurately detected, ensures the measurement accuracy and can detect in real time without the need of train stoppage in the tunnel.

The invention belongs to the technical field of unmanned aerial vehicles in no-fly airspace, and in particular relates to a detection method for unmanned aerial vehicles in no-fly airspace. The invention implements real-time and accurate UAV detection on the UAVs in the no-fly airspace, and aims to effectively reduce the "black flying" UAVs through the UAV flight detection. At the same time, it can also realize faster and more accurate detection of UAVs flying in the airspace, faster implementation of UAV countermeasures, minimize the losses caused by UAV "black flying" and reduce the safety of UAVs. accident probability. The detection result of the invention can not only detect the target of the small unmanned aerial vehicle, but also accurately identify what the target is and the approximate position of the target, and enable the algorithm to achieve real-time capability. It brings considerable reaction time to deal with the "black flight" of the drone in time.

The invention provides a display panel and electronic equipment. The display panel comprises a display daughter board and a temperature sensing mother board which is integrated with the display daughter board in a stacked mode, the temperature sensing mother board is located on the side away from the light-emitting face of the display daughter board, and the temperature sensing mother board is provided with a temperature measuring unit array. The temperature sensing mother board comprising the temperature measuring unit array and the display daughter board are integrally arranged to form the display panel, and a temperature sensor does not need to be arranged on the equipment mainboard, so that the display panel is not limited by the area of the equipment mainboard, and temperature measuring units can be arranged in all areas above the equipment mainboard; the temperature of all areas of the equipment mainboard can be accurately detected in real time, and potential safety hazards such as over-high local temperature are avoided; furthermore, the display panel is integrally formed, and the temperature sensing mother board is independently arranged between the equipment mainboard and the display daughter board, so that the pixel aperture ratio is not influenced, and the process complexity of manufacturing two organic devices on the same substrate is reduced.

The invention relates to the technical field of battery detection, and specifically discloses a method for detecting the SOC of decommissioned power batteries in real time. The invention is aimed at a group of decommissioned power batteries with the same state parameters after screening. After a small number of test experiments in the early stage, on the basis of introducing the four parameters of resistance R, voltage U, current I and temperature T, the model is first established to measure the parameters of each battery in this group, and then the measured parameters are established by U, The three-dimensional relationship model in which the I value determines the R value and the three-dimensional relationship model in which the SOC value is determined by the R and T values, wherein the R value is the intermediary of the two three-dimensional relationship models. After the mathematical model is established, when this series of batteries with the same state parameters are used in different occasions, it only needs to measure the three parameters U, I, and T, and the corresponding SOC can be found according to the two three-dimensional relationship models.

The invention discloses a method and system capable of achieving detection of a work state of ball mill equipment through a surveillance video. The method comprises the steps that a mark unit capableof synchronously rotating is mounted on the position of the outer surface of a ball mill cylinder, a camera is mounted outside the ball mill cylinder, a mark rotating video of synchronous rotating ofthe mark unit around the axis of the cylinder along with the cylinder is clearly recorded, image recognition processing is used for real-time recognizing of the mark unit in the mark rotating video, conversion into a periodic related coefficient curve is achieved, the total number of rising edges of the related coefficient curve in the unit time is detected, according to the total number of the rising edges, the rotating speed, the rotating angular speed and the rotating period of the ball mill cylinder are calculated, according to the size relation between the actual value of any one parameter of the rotating speed, the rotating angular speed and the rotating period of a ball mill during work and the normal value, the current work state of the ball mill is determined, and corresponding treatment is carried out when the ball mill is in the non normal work state. Automatic, real-time and accurate monitoring of the work state of the ball mill can be achieved.

The present invention relates to the technical field of intelligent buildings, and specifically provides an intelligent building multi-level dispatching method, an intelligent building dispatching center and a system, which can find out the abnormal detection results in the obtained detection results, and the first corresponding to the abnormal detection results Analyze the first location information of the terminal device to determine a plurality of second terminal devices, and then compare the second permission level of the device cluster corresponding to each second terminal device with the first permission level of the device cluster corresponding to the first terminal device The levels are compared, and then the detection sensitivity and the detection result transmission rate of the second terminal device are adjusted according to the comparison result. In this way, when there is an abnormal detection result, terminal devices with lower authority than the terminal device corresponding to the abnormal detection result can be dispatched, and then accurate and real-time detection of the surrounding area of ​​the location area corresponding to the abnormal detection result can be realized. To ensure the timeliness and accuracy of the detection.