23results about How to "Timely positioning" patented technology

The invention relates to the technical field of ecological data processing, in particular to a plant growth evaluation method based on ecological data analysis, and the method comprises the steps: collecting data; determining a temporary grid; soil type identification; identifying an abnormal grid; adjusting a grid; and evaluating the plant growth degree. According to the method, the accuracy of plant growth monitoring is improved through dynamic monitoring and intelligent adjustment, bad growth conditions and abnormal plants can be recognized in time, then targeted intervention measures are provided, the vulnerability of an ecological system is reduced, and meanwhile, the high efficiency and accuracy of data acquisition are ensured through dynamic adjustment of grid spacing and optimization of a monitoring strategy. The method also provides a scientific basis for soil quality and plant health, is helpful for realizing ecological balance, promoting reasonable utilization of resources, improving the stability of an ecological system, and effectively solves the problems of insufficient evaluation comprehensiveness and reduced data acquisition timeliness caused by dependence on a fixed trigger strategy and single data source.

According to the laser signal coupling misalignment detection and alignment adjustment method, coupling alignment detection is realized through laser alignment, a spinor factor is introduced based on a perturbation method to establish a coupling alignment calculation analysis and adjustment model, and coupling misalignment measurement and alignment are performed; coupling misalignment faults are classified into parallel misalignment, angle misalignment and comprehensive misalignment, and features of the coupling misalignment faults are identified through a frequency spectrum mechanism, motion and dynamics; detection of coupling centering is realized through laser centering, and non-centering measurement and alignment of the coupling are realized by introducing a spinor factor based on a perturbation method, so that axial leads of a unit meet coaxial requirements, undue mechanical stress of the coupling is eliminated, a reasonable centering state of the coupling during operation is guaranteed, and the coupling accuracy is improved. Therefore, normal, stable and long-term continuous operation of the laser machine is guaranteed. And centering dynamic data display is achieved, the operation time is shorter, the precision is higher, and the adaptability is higher.

The invention relates to the technical field of soil moisture detection, in particular to soil moisture detection equipment for plant monitoring, which comprises a data acquisition unit, a synchronous control module, a data integration and analysis module, a monitoring and early warning module and a data storage unit. According to the method, the synchronous soil data set packet is obtained by performing synchronous control analysis on the soil data and the data information parameters, the data integration information is obtained by analyzing the synchronous soil data set packet, and the corresponding soil data model information is generated according to the data integration information; soil data model information is analyzed to obtain model state information, it is guaranteed that measurement and data transmission of all devices are conducted synchronously, and it is avoided that accurate analysis on soil moisture changes is finally affected; and early warning information is conveniently generated through the monitoring and early warning module, so that an abnormal position can be timely positioned, and the emergency convenience is improved.

The invention relates to a troubleshooting method and system for a data center, a terminal and a storage medium, and belongs to the technical field of data processing.The troubleshooting method comprises the steps that a fault patrol track is constructed according to the number and positions of devices in the data center; controlling a patrol camera to perform periodic patrol on the equipment according to the fault patrol track; acquiring a patrol video stream collected by a patrol camera in a patrol process; judging whether the data center is abnormal or not according to the patrol video stream; and if yes, positioning an abnormal position, and sending alarm information. In addition to monitoring of operation data in the equipment, the inspection camera can be controlled to perform periodic inspection according to a fault inspection track by constructing the fault inspection track, so that whether the data center is abnormal or not is judged according to the obtained inspection video stream, the abnormal position is positioned, and alarm information is sent. Therefore, the monitoring comprehensiveness of the data center is improved, and the fault position can be positioned in time.

The utility model discloses a kind of weld flaw detection detection devices, belong to weld flaw detection detection field, a kind of weld flaw detection detection device, including base, the side surface of base is fixedly installed with mounting bracket, the inside of mounting bracket top is provided with detection device, the top surface of mounting bracket bottom end is fixedly installed with rotating mechanism, the top of base is rotatably installed with preloading mechanism, the inside of the four corners of preloading mechanism is rotatably installed with placing mechanism, the top of placing mechanism is provided with clamping fixed mechanism, the top surface of preloading mechanism is fixedly installed with positioning mechanism in the inside of placing mechanism, it can realize simultaneously loading four flywheels, then sequentially rotating to detection position carries out flaw detection, so it can overlap detection time and flywheel preloading time, improve detection efficiency, finally through positioning component can ensure that each flywheel enters to predetermined position and carries out predetermined trajectory movement, improve the overall degree of automation of device, further improve the detection efficiency of device.

The invention relates to the field of food traceability, in particular to a food traceability system based on a block chain, and the system is provided with a feature storage module which is used for storing the packaging features of to-be-transported food; the package analysis module is used for analyzing the damage tendency characterization value of the inclusion in the transportation process based on the package characteristics of the to-be-transported food contained in the single inclusion in combination with the volume of the inclusion, and dividing the damage tendency risk category of the inclusion in the transportation process; the identification module is used for adaptively detecting each inclusion according to the damage tendency risk category; the tracing module is used for judging whether the food in the inclusion needs to be subjected to fragmentation detection or not based on the data label stored in the block chain for each inclusion; and the fragmentation detection module is used for scanning the food contour in the food package, identifying scattered food fragments and judging whether the food meets the fragmentation standard. The food traceability efficiency can be improved, the inclusion with risks can be positioned in time, and the intact degree and quality of the food are ensured.

The utility model provides an oil and gas pipeline detecting and positioning device which is arranged on an oil and gas pipeline, an optical fiber is arranged above the oil and gas pipeline, and distributed optical fiber vibration sensors are linearly distributed on the optical fiber. And positioning is carried out by adopting a phi-OTDR technology. The phi-OTDR is different from a traditional OTDR, a coherent light source is adopted, the light source is required to have the characteristics of narrow linewidth and low frequency drift, and in order to improve the sensitivity and the positioning precision, the phi-OTDR adopts a fiber reinforced resin packaging optical cable as a sensing head, and adopts amplitude demodulation and phase demodulation in the aspect of signal demodulation. Based on the advantages, the distributed optical fiber vibration sensing technology can solve the problems that a traditional OTDR distributed optical fiber vibration sensing technology is low in positioning precision and low in sensitivity, oil and gas pipeline leakage positioning can be effectively achieved, oil leakage or oil stealing positions can be detected and positioned in time, and then economic losses and environmental pollution are reduced.

The invention discloses a method and a device for detecting the safety of an output result of railway trackside equipment, and relates to the technical field of railway trackside equipment. The method comprises the steps of obtaining logic input data and logic output data corresponding to a target core function in a railway trackside equipment system; performing security detection on the logic output data according to a preset rule and the logic input data to obtain a detection result corresponding to the target core function; when the detection result shows that no safety problem exists, a detection passing message is sent to the railway trackside equipment system, so that the railway trackside equipment system outputs the logic output data; and when the detection result shows that the security problem exists, sending the detection result to target equipment, so that the target equipment outputs and displays the detection result.

The invention provides a memory leak detection method and device, a storage medium and an electronic device.The method comprises the steps that index data of a process used memory in a target network element is collected locally according to a first preset period, and the index data is used for representing the memory occupancy amount of the corresponding process; the index data is stored in a time sequence database of the target network element, and the time sequence database is used for storing index time sequence data of all processes in the target network element in a plurality of time sequence periods; querying index time sequence data in the time sequence database according to a second preset period; and adopting a pre-trained deep learning model to perform memory leak detection on the target network element through the index time sequence data. Through the embodiment of the invention, the technical problems of large resource consumption and large time delay of memory leak detection in related technologies are solved, the memory leak of a specific module can be detected besides the process memory leak, and a leak root cause can be conveniently positioned in time.

This invention provides a dynamic networking anti-interference diagnostic method for GIS sensors based on the K-nearest neighbor algorithm, belonging to the field of power Internet of Things (IoT) communication technology. The method includes: collecting raw data of multi-dimensional communication link characteristics between GIS sensor nodes within a time sliding window of a set size and sliding step, and performing Z-score standardization; calling a dynamic anti-interference training sample library with online incremental learning and forgetting mechanisms; using an improved K-nearest neighbor classification model that incorporates a time decay factor, determining the current communication link status category in real time by calculating weighted Euclidean distance, employing an adaptive K-value selection strategy based on sample density, and using Gaussian kernel function weighted voting; and finally triggering targeted adaptive frequency selection networking strategies or hierarchical fault warning operations based on the determined category. This invention can effectively distinguish between environmental interference and hardware faults in strong electromagnetic environments of GIS, significantly improving the communication reliability and self-healing capability of wireless sensor networks.

The invention relates to the technical field of power fault monitoring, and particularly discloses a line zero line fault monitoring and diagnosis system which comprises a plurality of current sensors, an edge computing gateway and a fault analysis platform which are in network connection in sequence, and the plurality of current sensors are respectively installed on a main line and branch lines of a zero line; the current sensor is used for sampling according to a received synchronizing signal and sending sampled current data to the edge computing gateway, and the edge computing gateway is used for sending a clock synchronizing signal to the current sensor, receiving and storing the sampled current data and analyzing the current data to obtain a data analysis result; a data analysis result is sent to the fault analysis platform; and the fault analysis platform calculates a fault type according to the data analysis result and displays the fault type. The invention aims to solve the problems of low transmission speed, short transmission distance and over-high cost of the existing fault diagnosis method.

The invention relates to the technical field of spot welding equipment, and particularly discloses an automatic positioning spot welding device adaptive to a PCBA processing production line, the automatic positioning spot welding device comprises a rack and a conveying belt, and the conveying belt is rotatably arranged at the top of the rack. The PCBA to be machined is subjected to automatic spot welding machining to the position under the spot welding assembly through the conveying belt, before the PCBA is subjected to spot welding machining, the surface of the PCBA to be machined is cleaned through the feeding treatment frame, the quality of the PCBA in follow-up spot welding machining is guaranteed, and after the surface of the PCBA is cleaned, the PCBA is subjected to automatic spot welding machining. The PCBA is fed into the spot welding processing frame to be subjected to automatic positioning spot welding processing, after automatic positioning spot welding processing of the PCBA is completed in the spot welding processing frame, welding slag cleaning processing is conducted on the PCBA subjected to spot welding processing through the discharging processing frame, and the surface quality of the PCBA subjected to spot welding processing is improved to a great extent.

The utility model relates to the technical field of electrolytic capacitor clamping, in particular to a clamping tool based on an electrolytic capacitor, which comprises a workbench. A chute; an automatic induction clamp; a driving disc; a driving device; and a cutting device. According to the utility model, the driving device drives the driving disc to rotate, the driving disc drives the automatic induction clamp to carry out automatic induction type clamping work on the electrolytic capacitor, and the automatic induction clamp controls the internal structure of the driving device to realize disconnection according to pressure, so that the effect that the clamp does not continue to move is realized; the problem that the surface of the electrolytic capacitor is damaged due to the fact that the clamp excessively clamps the electrolytic capacitor is avoided, the clamp can automatically sense the electrolytic capacitor and conduct positioning in time, the effect of positioning and clamping the electrolytic capacitors of different sizes is achieved, then the applicability and practicability of the whole workbench for clamping the different electrolytic capacitors are improved, and the working efficiency is improved. And the electrolytic capacitor is fixedly positioned on the workbench, so that the surface of the electrolytic capacitor can be conveniently processed or tested by the processing head.

The present invention provides an outdoor state monitoring device and system for a frequency-shift pulse track circuit, comprising: a choke transformer, a collection sensor and a collection extension arranged in the same box. The collection sensor collects the outdoor state of the frequency-shift pulse track circuit to obtain a collection signal, and sends the collection signal to the collection extension. The collection extension collects the signal for processing to obtain communication data, and the communication data is sent to a collection device through a cable using a power carrier communication method. In this solution, by setting a collection sensor at a pre-set collection point, the data of the outdoor equipment of the frequency-shift pulse track circuit is collected, and the collected data is processed and transmitted by the collection extension, so that the operating state of the outdoor equipment of the frequency-shift pulse track circuit can be understood in real time, and sudden fault points can be located in time, thereby avoiding the increase in the impact range of the fault, thereby shortening the fault repair time and reducing maintenance costs.

This invention belongs to the field of bridge and road early warning technology, specifically disclosing a method for early warning of bridge and road failure risks in plateau mountainous areas. By establishing a spatial matching relationship between the bridge exit section and the downstream road section and configuring the traffic delay interval, the deflection and vibration acceleration of the bridge exit are collected synchronously for anomaly identification. The anomaly window is projected onto the downstream road section, triggering local analysis of road images and ground-penetrating radar data to identify cracks and void locations, thereby expanding the monitoring range from the bridge exit to the spatially continuous downstream road section. After that, the defects identified on the road section are projected back onto the bridge time axis, and the time intersection with the anomaly window is judged and the correlation confidence is calculated. Then, multi-level risk warnings are performed based on the defect type and correlation confidence, thereby expanding the warning information from a single bridge response over-limit signal to a deep assessment with two-way verification of the bridge exit and the downstream road.

The utility model is applicable to the technical field of meat cleaning, and provides a pipe network blockage monitoring device which comprises an arc-shaped monitoring opening formed in a sewage pipeline; the arc-shaped sealing plate is arranged on the sewage pipeline, and the mounting position of the arc-shaped sealing plate corresponds to the monitoring port; the thermal flow sensor and the radar liquid level sensor are arranged at the bottom of the arc-shaped sealing plate; the signal line is arranged on the arc-shaped sealing plate and is connected with the thermal flow sensor and the radar liquid level sensor; and the box body is arranged at one end of the signal line and is provided with an alarm mechanism, and the alarm mechanism is used for monitoring and alarming. The pipe network blockage monitoring device provided by the scheme is relatively convenient to install and deploy and relatively low in cost, and has a photovoltaic power supply function and a remote monitoring and alarming function.

The present invention provides a dynamic display system for intelligent buildings based on AI video recognition and digital twins, wherein the system includes: a video recognition model training subsystem for training video recognition models; a real-time video data collection subsystem for collecting real-time video data; a dangerous event identification subsystem for identifying dangerous events based on the video recognition model, according to real-time video data and video recognition requirements; a dynamic display subsystem for building a dynamic display model of an intelligent building and marking dangerous events according to real-time video data. The dynamic display system for intelligent buildings based on AI video recognition and digital twins of the present invention trains a video recognition model, and identifies dangerous events according to real-time video data, video recognition requirements and video recognition models. By integrating real-time video data and digital twin models to obtain a dynamic display model of an intelligent building, and then marking dangerous areas, the recognition efficiency of dangerous events is higher and the positioning is more timely.

The invention relates to the technical field of intelligent traffic control, in particular to an intelligent spike monitoring system, which is provided with a plurality of spike units, a data acquisition unit, a feature analysis unit and a road management and control coordination unit, and is characterized in that each spike unit is provided with a vibration monitoring module, an electric leakage monitoring circuit and an electrode conduction circuit; a risk representation unit vector is determined through a data acquisition unit, whether an electric leakage risk area exists between adjacent spike units or not is determined, a warning level of the electric leakage risk area is determined through a feature analysis unit, a traffic management and control mode of the electric leakage risk area is selected through a road management and control cooperation unit, and thus the traffic management and control of the electric leakage risk area is realized. According to the invention, the method achieves the timely monitoring and positioning of an area with an electric leakage risk, adaptively adjusts the traffic control mode, and improves the safety and intelligent level of road traffic.

The invention discloses a high-temperature tank basic temperature field simulation method and device and a medium, and relates to the technical field of intelligent management and control systems.The method comprises the steps that according to a construction drawing of a simulation object, 3D modeling is conducted on the simulation object according to a preset proportion, and a simulation object 3D model is obtained; according to a temperature measurement point layout drawing of the simulation object, marking all temperature measurement points in the simulation object 3D model according to a preset proportion, and obtaining a simulation object-multi-temperature measurement point 3D model; based on the simulation object-multi-temperature-measuring-point 3D model and the boundary conditions, fitting coloring processing is conducted on the real-time temperatures of all the temperature measuring points through a fitting algorithm and a coloring algorithm, a temperature field model of the simulation object at the current moment is obtained, and high-temperature tank basic temperature field monitoring is conducted through the temperature field model; according to the method, the abnormal position positioning precision is improved by constructing the temperature field model.

The application relates to a power distribution network fault interval positioning and identification method and system and relates to the field of power distribution network fault detection and positioning. In order to solve the problems that centralized DTU master control failure leads to complete loss of fault positioning and decentralized DTU communication interruption leads to cooperation failure, parameters and instructions issued by a master control unit are received, and collection data and state information of the interval unit are uploaded; electrical quantities and state quantities of primary switch devices corresponding to the interval unit are collected in real time; communication link quality between the interval unit and the master control unit is monitored in real time, and it is determined whether mode switching is triggered; when communication is abnormal, the fault judgment task is taken over, and fault positioning and identification of the interval are independently completed; action instructions from the master control unit or the local fault identification decision unit are received, and fault isolation instructions are executed to drive the primary switch devices to act. The application is mainly used for positioning and identifying fault intervals of a power distribution network.

The invention provides a broadcast storm monitoring method and system, a storage medium and a terminal. The method comprises the following steps: establishing a network topology model; constructing a broadcast storm monitoring framework based on the network topology model; setting a data acquisition strategy in the broadcast storm monitoring framework; performing data acquisition on each monitoring object in the broadcast storm monitoring framework based on the data acquisition strategy; and carrying out broadcast storm monitoring based on the collected data. According to the broadcast storm monitoring method and system, the storage medium and the terminal, broadcast storm monitoring can be carried out in real time, and safe operation of a network is facilitated.

The invention relates to the technical field of electronic product detection, in particular to a casual inspection device in an electronic product production system and a casual inspection method thereof.The casual inspection device comprises an assembly mounting frame and a conveying belt in transmission connection with the assembly mounting frame, a portal frame is fixedly mounted at the top of the conveying belt, and a first electric push rod is fixedly mounted at the top of the portal frame; a rectangular mounting frame is fixedly mounted at the bottom end of a piston rod of the first electric push rod, when the clamping tool can be freely switched according to the shape of an electronic product, the clamping tool can better adapt to different pressure distribution requirements, for example, the electronic product with edges is clamped, and if the shape of the tool cannot be adjusted, the clamping tool can be replaced. The clamping structure of the tool or a shell of an electronic product may be damaged due to too large local pressure, and the freely switched clamping tool can uniformly distribute pressure on a proper contact surface, so that the condition that the service life of the tool is shortened due to excessive wear or damage is reduced, and the cost of frequently replacing the tool by a user is reduced.

The embodiment of the invention discloses a database operation and maintenance method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining configuration performance data of a distributed database and a database node to obtain database information, the database node being a server node where the distributed database is located; generating a monitoring probe statement based on the database information, and sending the monitoring probe statement to a database node, so that the database node executes the monitoring probe statement to obtain performance state monitoring data of the distributed database; and determining the performance state of the distributed database based on the performance state monitoring data returned by the database node. According to the embodiment of the invention, the performance state of the distributed database can be simply, conveniently, safely and accurately monitored and acquired in real time on the premise that the performance overhead of the distributed database is not increased as much as possible through active control.