36results about How to "Improve status detection efficiency" patented technology

The present invention discloses a parking stall detection method. The method comprises: collecting a driving-in image when there is a vehicle driving in a detection area; after the remaining time of the vehicle exceeds a certain time, collecting a remaining image when it is continuously detected that the remaining time of the identified vehicle feature appears at the same position or in a template matching frame exceeds a certain time; collecting a driving-out image when the displacement distance of the identified vehicle features exceeds a preset distance threshold value or the area of the frame difference at the detection area exceeds a preset area threshold value, and determining whether the vehicle features are close to the position in the remaining image or not; and setting the parking stall as an unoccupied parking stall or updating the driving-out image according to the current collected image of the detection area. Therefore, the parking stall state detection efficiency is improved on the premise of reducing the maintenance quantity of a device.

The invention provides a node equipment state detection method and a node equipment state detection device. The method and the device are applied to an equipment cluster which is pre-divided into one or more circular test groups with the same master node. The method comprises the following steps: a master node sends a test message carrying an identity list of all nodes to first slave node equipment; if the first slave node responds to the message normally, the first slave node is self-marked as 'test passed' in the identity list and forwards the message to a second slave node; if the second slave node responds to the message normally, the second slave node is self-marked as 'test passed' in the identity list and continues to forward the message until the message is forwarded to the master node; if the second slave node cannot respond to the message normally, the first slave node marks the second slave node as 'test failed' in the identity list and reports the message to the master node; and the master node determines the state of each node in a test group based on the received test message. Through the method and the device, the processing pressure on the master node equipment can be alleviated.

A method and processor for detecting bi-directional forwarding detection session state is provided. The processor comprises a control core and a forwarding core. The control core acquires the timeouttime of the established BFD session agreement between the first network device and the second network device and outputs the timeout time to the forwarding core. According to the timeout time length and the time length of generating the timing interrupt instruction, in a virtual linked list, the forwarding core determines a first timing node carried by a timer corresponding to the BFD session, thevirtual link list structure represents a timing interrupt instruction, and at least one timer is carried on every certain time node of the virtual link list, each timer corresponds to the establishedBFD session one by one, and the time step between adjacent timing nodes is the time length during which the timing interrupt instruction is generated; The forwarding core is also used for detecting the state of the BFD session corresponding to the timer carried on the timing node corresponding to the timing interrupt instruction when the timing interrupt instruction is generated. Therefore, thatefficiency of BFD session state detection can be improved.

The invention provides a server state detection method and device, applied to load balancing equipment. The method comprises the following steps: sending a request message to a server based on a preset detection time interval, so as to enable the server to build a response message based on the received request message and then return the response message; within a preset response time-out period,detecting whether the response message sent by the server is received or not; if the response message is received within the response time-out period, extracting a state code in the response message;otherwise, determining that the server is in an abnormal state; judging whether the state code belongs to a preset normal state code or not; if the state code belongs to the normal state code, determining that the server is in a normal state; or otherwise, determining that the server is in the abnormal state. According to the server state detection method disclosed by the technical scheme of the invention, the abnormal state of the server can be found in time, and the continuity and the reliability of user services are improved.

The embodiment of the invention provides a vehicle detection method and device, which are applied to a rail vehicle including an operable screen. The method comprises: acquiring a system detection instruction inputted through an operable screen; according to the system detection instruction, sending a self-inspection instruction to at least one networked system including a traction system, an auxiliary system, a fire alarm system, a door control system, an air-conditioning system, and a passenger information system in a rail vehicle; receiving self-inspection information fed back by each networked system after execution of the respectively corresponding self-inspection instruction; on the basis of the self-inspection information fed back by each networked system, determining a self-inspection state including a self-inspection normal state and a self-inspection fault state, of each networked system; and controlling the operable screen to displaying the self-inspection state of each networked system. Therefore, the detection efficiency of the networked system is improved and thus the detection efficiency of the rail vehicle is improved and the safe operation of the rail vehicle is guaranteed.

The invention relates to a transformer area fault detection method and device based on a visual identification technology. The method comprises the following steps : acquiring image information of a target area; detecting the image information according to a preset learning model to obtain position information and state information of target equipment; judging the position information and the state information to judge whether the position information and the state information meet preset early warning conditions or not so as to obtain alarm information; and in response to the obtained alarm information, sending the alarm information to a terminal. According to the transformer area fault detection method, the state of the target equipment is detected in real time based on deep learning, and the alarm information is actively sent to the terminal after the fault is found, so that the intelligent detection capability of the transformer area fault is realized, and the power distribution network equipment state detection efficiency and the fault position identification accuracy are improved.

The invention discloses a method and a device for flexibly combining and polling network equipment polling items, and the method comprises the following steps that: an IPRAN network equipment network manager regularly/instantly logs in IPRAN network access government and enterprise user equipment, IPRAN network access equipment and IPRAN network convergence equipment associated with channel type services, and acquires established detection index item data of the equipment; the IPRAN network equipment webmaster automatically judges the detection index item data one by one according to a set detection process and rule to obtain a final inspection result; and the network manager of the IPRAN network equipment performs view display on the final inspection result in combination with the physical topological graph of the channel type service, generates an inspection report and performs database storage. According to the method and the device, manual-free detection of state detection management of the channel type service tunnel can be realized, the workload of operation and maintenance personnel is reduced, and the state detection efficiency of the channel type service tunnel is improved.

The invention relates to the technical field of unmanned aerial vehicles, and provides an automatic starting method and system of an unmanned aerial vehicle, a computer readable storage medium and electronic equipment. The automatic starting method of the unmanned aerial vehicle comprises the steps: collecting a fuel pressure value, fuel information, rotating speed information, throttle valve position information and choke valve position information of the unmanned aerial vehicle; detecting an oil supply system according to the fuel pressure value, the throttle valve position information and the choke valve position information; when the oil supply system meets a first preset condition, detecting an ignition switch according to the fuel oil information and the rotating speed information; when the ignition switch meets a second preset condition, detecting a throttle steering engine according to the fuel oil information, the rotating speed information and the throttle position information; and when the throttle steering engine meets a third preset condition, controlling the unmanned aerial vehicle to be started. According to the invention, the workload of ground operators is reduced,waste of human resources is avoided, the starting efficiency of the unmanned aerial vehicle is improved, losses caused by manual misoperation are avoided, and the cost is reduced.

The embodiment of the invention discloses a virtual object state detection method and device, a terminal and a storage medium, and belongs to the technical field of computers. The method comprises thesteps of obtaining a target image, wherein the target image comprises a virtual object; performing feature extraction on the target image to obtain a feature image, wherein the pixel value of each pixel point in the feature image is used for representing the distance between the corresponding pixel point in the target image and the virtual object; fusing the target image and the feature image toobtain a fused image, wherein the fused image comprises content information in the target image and distance information in the feature image; and based on the content information and the distance information, detecting the fused image to obtain a detection result. Since the distance can be obtained only by processing one target image, the state of the virtual object can be detected according to the distance, the delay of state detection can be reduced, timely detection can be carried out once the target image is obtained, and the efficiency of state detection is improved.

The present invention discloses a battery pack online management system. The system includes a control unit, a plurality of cell detection units and a plurality of isolated charging and discharging units. Each of the cell detection units is connected in parallel with a corresponding storage battery. The input terminal of each of the isolated charging and discharging units is respectively connected to a corresponding battery interface, and the output ends are connected in parallel with different interfaces of the same DC bus; the control unit is respectively connected to the control terminal of each of the cell detection units and each of the isolated charging and discharging units; and each cell detection unit is configured to collect the charging and discharging status of the corresponding battery Information, and uploads the collected information to the control unit; the control unit is configured to calculate the charging and discharging parameters of each storage battery according to the received charging and discharging status information, and sends the charging and discharging parameters to the corresponding isolated charging and discharging unit; and each isolated charging and discharging unit is used to charge and discharge the connected batteries according to the charging and discharging parameters. It can be seen that the present invention improves the battery state detection efficiency and is favorable for energy saving and emission reduction.

The invention discloses a state inspection system, which is applied to weft knitting machines. The state inspection system comprises a driver module; an ARM processor module; a serial transceiver module; a drive detection module; a tool bit action detection module used for detecting vibration signals generated in the work of the tool bit and converting the vibration signals into second voltage signals; a comparison signals control module used for receiving PWM signals from an ARM processor and converting the PWM signals into third voltage signals; and a comparison circuit module used for receiving the second voltage signals from the tool bit action detection module and the third voltage signals from the comparison signals control module, comparing the second voltage signals and the third voltage signals, and sending a comparison result to the ARM processor module. The state inspection system and a state inspection method have the advantages that the state inspection system further improves the efficiency of state inspections through a double closed-loop state detection.

The invention relates to a millimeter wave system dynamic user hybrid precoding method which comprises the following steps: acquiring channel state information of each user, and storing the channel state information of adjacent time slots of each user in a storage unit; obtaining the optimal propagation path of each user according to the stored channel state information; judging whether the optimal propagation path is a direct path or not to obtain a judgment result of each user; obtaining the state of each user according to the judgment result; designing an analog precoding matrix of the useraccording to the state of the user; designing a digital precoding matrix of the user according to the analog precoding matrix; and performing data transmission according to the analog precoding matrix and the digital precoding matrix. According to the method, the state of each user can be obtained only by comparing the channel state information of the adjacent time slots of the users, the user state detection efficiency is improved, the detection complexity is reduced, and the self-adaptive hybrid precoding method is provided according to the detected user real-time state.

The invention provides a state detection method and a state detection device, which are used for detecting the state of a memory storage device. The method comprises the following steps: establishing a connection line with the memory storage device; executing a first detection program on the memory storage device to perform initial error classification on the memory storage device; executing a second detection program on the memory storage device according to a classification result of the initial error classification; and providing detection data according to a detection result of the second detection program, wherein the detection data reflects a defect state of the memory storage device. Therefore, the state detection efficiency of the memory storage device can be effectively improved.

The invention relates to the technical field of image processing, and discloses a vehicle window state detection method, device and equipment and a storage medium, and the method comprises the steps: determining a region of interest of a to-be-detected image; performing target detection on the to-be-detected image to determine a window area of the automobile window in the to-be-detected image; and when an overlapping area exists between the automobile window area and the area of interest, detecting whether the automobile window is closed or not according to the automobile window area. As the region of interest of the to-be-detected image is determined, the target detection is performed on the to-be-detected image to determine the window region, and whether the automobile window is closed or not is detected according to the window region when the region of interest and the window region have the overlapping region, whether the automobile window is closed or not can be automatically detected before the automobile is subjected to the rain test; the detection cost is reduced while the vehicle window state detection efficiency is improved.

The embodiment of the invention relates to the field of storage device application, and discloses a storage device and a control method thereof.The storage device comprises a main control module, a color change control module and an electrochromism device.The electrochromism is arranged on a shell of the storage device, the main control module monitors fault information generated in the storage device, and the color change control module controls color change of the electrochromism; according to the method and the device, the storage device fault information can be visualized, and the storage device fault information can be displayed by the color change control module, so that the color change control module can be awakened, and the color change control module can generate pulse signals and control the power-on voltage and/or power-on time of the electrochromism device, and then the display color of the shell of the storage device can be adjusted. And the state information display can still be kept in the power-off state of the storage equipment, so that the state detection efficiency of the storage equipment is improved.