83results about How to "Get it in time" patented technology

The invention discloses a traffic transportation emergency command and dispatch system based on big data resources, which is constructed based on the big data resources and mainly comprises a data acquisition module, a big data processing and analysis module, an event early warning and prediction module, an emergency command and dispatch module, an information display and interaction module and the like. Various devices (a sensor, a camera, a GPS and the like) are utilized to comprehensively collect data such as traffic flow, road conditions, weather, events and the like. Acquisition has the characteristics of high frequency and high precision, supports a plurality of data transmission modes and protocols, and can integrate and format the acquired data to guarantee data quality and convenience of subsequent processing. According to the system, effective utilization of traffic data is realized through collaborative operation of all the modules, and the traffic transportation emergency management capability is improved from multiple aspects, including improvement of management efficiency, enhancement of emergency response capability, improvement of decision support, enhancement of information transparency, optimization of resource allocation, reduction of economic loss and improvement of public safety.

The invention discloses a grain depot intelligent system based on digital twinning, relates to the technical field of grain depots, solves the problems of low visualization degree, untimely grain condition information acquisition and difficult remote visualization control of a current grain depot storage management mode, and comprises a model generation module, an intelligent analysis module, an intelligent early warning module, a grain condition display module and an intelligent control module, the model generation module is used for generating a grain depot twinborn model corresponding to a physical grain depot, the intelligent analysis module is used for analyzing a grain sample of the physical grain depot, and the intelligent early warning module is used for performing intelligent early warning on the storage condition of grains in the physical grain depot. The grain condition display module is used for displaying the corresponding grain depot twinborn model in the physical grain depot, the intelligent control module is used for intelligently controlling the storage condition of the physical grain depot, the grain condition information can be obtained in time, the grain depot can be visually managed, and remote visual control over the grain depot is achieved.

The invention relates to the technical field of information collection, in particular to an intelligent medical waste collection vehicle information collection method based on the Internet of Things, and the method comprises the following steps: binding a unique RFID tag for each medical waste container; the intelligent medical waste collection vehicle is provided with an RFID reader, and the RFID reader automatically reads the RFID tag of the medical waste container when the medical waste container is loaded. Performing multi-label reading optimization based on intelligent conflict detection and resolution; according to the method, priority ranking is carried out, dynamic optimized reading of conflicting labels is achieved, the mechanism effectively avoids reading conflicts in a multi-label environment, the overall reading efficiency of the system is improved, meanwhile, it is ensured that high-risk waste information can be preferentially and timely obtained, and the accuracy and reliability of information collection are remarkably improved.

The invention relates to the technical field of ranging and positioning, in particular to a high-precision optical communication ranging and positioning method and system suitable for underwater. The method comprises the following steps: S1, generating and sending a laser signal through a laser; s2, encoding data to be transmitted and modulating the data to a laser signal through a quadrature amplitude modulation scheme for data transmission; s3, emitting the modulated laser signal, aligning the modulated laser signal with a target, and receiving an optical signal returned from target equipment; s4, demodulating the received laser signal based on a coherent demodulation method, and recovering information loaded by the laser signal; and S5, after receiving the demodulated signal, calculating the relative distance by using the distance measurement frame information contained in the signal through a distance measurement positioning unit. According to the invention, the laser communication technology is applied to underwater, and the flight time distance measurement positioning technology is combined, so that the advantages of high precision, high anti-interference performance and low energy consumption are satisfied under the condition of low power consumption.

The utility model discloses a fuse detection device which is used for detecting the state of a fuse, when the fuse is converted from a normal state to a fusing state, a fusion tube of the fuse falls from a longitudinal extension posture to a transverse extension posture, the fuse detection device comprises a trigger unit and an acquisition unit, the trigger unit is installed on the fusion tube, and the acquisition unit is installed on the fusion tube. The trigger unit moves along with the fusion tube; the acquisition unit is installed in the middle of an insulator of the fuse and is used for sensing the trigger unit so as to judge whether the fuse is in a normal state or a fusing state according to whether the trigger unit is sensed or not. According to the technical scheme, when the fuse is converted from the normal state to the fusing state, the fusion tube of the fuse falls to the transverse extension posture, so that the trigger unit exits the induction area of the acquisition unit along with the movement of the fusion tube, and the acquisition unit can judge that the fuse is switched to the fusing state; therefore, the state information of the fuse can be obtained in time.

The invention discloses a termite monitoring method and system based on visual recognition and a medium, and relates to the field of image recognition, and the method comprises the steps: obtaining a video image for shooting a termite, including obtaining a video collected for the first time from the video image as a monitoring template, and obtaining a monitoring image regularly obtained after the video collected for the first time; respectively obtaining a first binary mask image and a second binary mask image through Gaussian modeling and an accumulative difference algorithm on the monitoring template and the monitoring image; according to the main technical scheme and the main effects of the invention, the improved Gaussian mixture modeling based on the template and the accumulative difference algorithm based on the template are combined to judge whether the termite activity exists, so that the monitoring result of the termite activity can be timely and intuitively obtained, the time and energy of manual searching are reduced, and the monitoring efficiency is improved.

The invention discloses a monitoring video analysis alarm method and related equipment. The monitoring video analysis alarm method comprises the following steps: acquiring a detection frame identifier and a detection line identifier delimited by a user in a monitoring video picture; determining a trigger detection area of the monitoring video according to the detection frame identifier; for the detection line identifier which is an undirected line, carrying out cross-line trigger detection on the moving personnel in the monitoring video according to an undirected line segment in the trigger detection area, and determining a first trigger event; for a detection line identifier which is a directed line, performing movement trigger detection on a moving person in the monitoring video according to a labeling position and a labeling direction of a directed line segment in a trigger detection area, and determining a second trigger event; and counting the first trigger event and the second trigger event, and triggering an alarm in combination with a preset alarm mechanism. According to the invention, through introduction of the flexible detection frame and the detection line identifier, the classification triggering detection strategy and the statistical alarm function, comprehensive, efficient and intelligent analysis of the monitoring video is realized.

The invention discloses a detection method of a refractive correction lens and electronic equipment, and belongs to the technical field of electronic equipment. The method comprises the steps that under the condition that it is detected that the head-mounted display device is worn, shooting is carried out in the eye direction based on the shooting assembly, and an eye image is obtained; matching the edge information of the eye region in the eye image with preset edge information; the preset edge information is edge information of an eye region in a reference eye image, and the reference eye image is obtained by shooting in the eye direction based on the shooting assembly under the condition that the head-mounted display device is not provided with a refractive correction lens; and if the edge information is not matched with the preset edge information, determining that the head-mounted display device is currently configured with a refractive correction lens.

The invention discloses a lower limb motion function evaluation method, system and device based on deep learning image processing and a storage medium, and the method comprises the steps: shooting a lower limb motion process of a patient through a common mobile device, and collecting a motion image; performing image preprocessing to obtain a preprocessed action image data set; inputting the motion image data set into the trained progressive mode model, extracting feature points of a joint three-dimensional space, and calculating parameters related to a lower limb motion function according to the feature points; the parameters obtained through real-time calculation and set parameters are subjected to fitting calculation to calculate the overlap ratio, rehabilitation training is evaluated in real time according to the overlap ratio, and an optimized motion curve is given according to the real-time evaluation result to guide a patient to conduct rehabilitation; an image processing algorithm is optimized, and a line-by-line processing mode is adopted to replace a current full-image processing mode, so that evaluation and analysis of lower limb movement under shooting of a common camera in a mobile device are realized, and remote medical diagnosis is completed quickly and efficiently.

The invention discloses air particulate matter concentration detection equipment, and relates to the technical field of air detection.The air particulate matter concentration detection equipment comprises a main body and an air inlet pipe, a support is installed in a connector of the air inlet pipe and the main body, a second motor is installed in the middle of the support, and blades are installed on an operating shaft of the second motor; the device has the advantages that the first motor of the flow guide assembly drives the rotating frame to rotate, the angle of the flow guide plate can be adjusted to guide air into the air inlet, the air inflow is increased, it is ensured that an air sample is fully obtained in time, mounting and dismounting are convenient, the flow guide assembly can be easily taken down when equipment is transferred, and meanwhile the position of the air inlet pipe can be adjusted by screwing a rotating wheel; the main body is rotationally placed on the placing frame behind the main body, so that the vertical occupied area is reduced, obstruction is avoided when the equipment is moved, the main body can be fixed on the bearing frame through the mounting frame, the sliding block, the clamping block and the like during mounting, different mounting scenes are adapted, the mounting efficiency is improved, the operation stability is ensured, and the equipment universality is improved.

The invention relates to the technical field of video monitoring platform equipment access service request processing, in particular to an efficient thread scheduling method for a video monitoring platform equipment access service request. Comprising a request classification processing step: receiving an equipment access service request, and judging the type of the request; an asking weight distribution step: distributing different weights to different types of requests; an equipment off-line processing step: before processing an equipment access service request, checking the state of equipment related to the request; according to the method, through request classification, weight distribution and equipment state check, the response speed and stability of the system are effectively improved, resource distribution is optimized, the method is suitable for video monitoring platforms in multiple scenes such as a monitoring system and an intelligent home system, requests of different priorities can be efficiently processed, stable operation of the system is guaranteed, and user experience is improved.

The invention discloses a special first-aid medicine and article storage and distribution construction system and method. The system comprises an Internet of Things module, a multi-subject cooperation module, an inter-hospital cooperation module, a cloud computing platform module, a block chain module, an intelligent scheduling center module, a storage network module and an emergency response module. The method comprises the steps of 1, demand integration and joint purchase; step 2, storage network construction and inventory optimization; step 3, intelligent scheduling and path planning; 4, emergency response and cross-mechanism deployment are carried out; 5, whole-process tracing and data uploading are carried out; step 6, performance monitoring and continuous optimization; according to the invention, a special first-aid medicine and article storage and distribution construction system is designed, and standardized data interaction and close cooperation among medical institutions, suppliers and logistics enterprises are realized by establishing a multi-subject cooperation mechanism such as joint purchase, inventory sharing, emergency allocation and performance monitoring. The joint purchasing module gathers the purchasing demands of the medical institutions in the region.

The embodiment of the present application provides a device status monitoring method, apparatus, device and storage medium. The method includes: a user terminal sends a subscription request to a cloud server, and the cloud server can monitor the device and / or device status belonging to the target user according to the received subscription request, and when the device and / or device status belonging to the user changes, the cloud server sends notification information to the user terminal corresponding to the target user, so that the user terminal can timely and accurately obtain the change information of the device and / or device status that needs to be controlled, thereby improving the accuracy of the acquired status information of the Internet of Things device, and thus improving the accuracy of the device control.

This application provides a block header storage method and apparatus. The method includes: sending a block header retrieval request to a blockchain network via a decentralized application (DApp), the request carrying a requested block header height range; receiving block header information within the requested height range from the blockchain network; determining block header information associated with the DApp from the retrieved block header information; and storing the block header associated with the DApp in the DApp. This application facilitates the timely retrieval of block header information via a DApp.

The embodiment of the invention provides a gift display method for a live broadcast room, and the method comprises the steps: entering a target live broadcast room, and obtaining a virtual gift object in a gift panel; in the live broadcast process of the target live broadcast room, updating a virtual gift object in the gift panel based on a preset rule; in response to a gift sending event for the target live broadcasting room, displaying a display special effect of a virtual gift object corresponding to the gift sending event; wherein the virtual gift objects are created in a server, and the creation time of at least part of the virtual gift objects is later than the time when the audience side enters the target live broadcast room. According to the technical scheme provided by the embodiment of the invention, the audience entering the live broadcasting room before the new gift is put on the shelf can obtain the latest gift data in time, and the gift special effect is played in real time according to the latest gift data, so that the instantaneity of obtaining the audience information is ensured, the sense of participation of the audience is improved, and the experience of the audience is ensured.

The invention relates to the technical field of substations, and discloses an intelligent substation flexible configuration visual modeling analysis system which comprises a control center, a visual modeling module, a network topology modeling module, a flow model parameter setting module, a link flow management module, a flow visualization module, a link network time delay analysis module and an inspection module. The control center is respectively connected with the visual modeling module, the network topology modeling module, the flow model parameter setting module, the link flow management module and the link network delay analysis module, the link flow management module is also connected with the flow visualization module, and the control center is connected with the inspection module through the server. According to the method, visual modeling analysis is provided for intelligent substation equipment configuration modeling, flow model parameter setting, network topology modeling and link flow simulation monitoring, the problem of network delay is solved, the substation network structure is optimized, the stable operation level of substation equipment is improved, and technical support is provided for substation fault analysis.

The present disclosure proposes a measurement and calibration method, device, electronic device and storage medium of an ECU, which relates to the field of measurement and calibration technology. The method comprises: sending a first CAN message to an electronic control unit ECU, wherein the first CAN message is a CAN message that can be filtered by the ECU; in response to receiving a response message returned by the ECU for the first CAN message, determining the historical state of the ECU; and measuring or calibrating the ECU based on the historical state. Thus, the ECU can be measured or calibrated in time after the ECU resumes connection, and the data of the ECU can be obtained in time within a short time after the ECU resumes connection, with a lower probability of error and better stability.

The invention provides a configuration data updating method and a distributed system. The system comprises a plurality of service end systems and a configuration service cluster. Each service end system sends a data updating request to the configuration service cluster; the configuration service cluster sends update configuration data to each service end system in response to the data update request; each service end system stores the updated configuration data locally, and sends a configuration loading confirmation long polling request to the configuration service cluster after successful storage; when the configuration service cluster determines that each service end system satisfies an update condition, in response to each configuration loading confirmation long polling request, respectively sending a loading notification for loading update configuration data to each service end system; and each service end system updates the original configuration data based on the locally stored update configuration data according to the loading notification. In this way, it can be guaranteed that all service end systems load and update the configuration data at the same time, and abnormal service transaction caused by configuration update delay or configuration update missing is avoided.

The utility model provides an environment monitoring device for tunnel safety, which comprises a shell, an air inlet flow channel, a semiconductor detection unit, a control panel and a power supply module, the outer wall of the air inlet flow channel is in a circular truncated cone shape and can gather and accelerate air flow, so that the semiconductor detection unit can obtain gas data more efficiently and accurately, and the detection efficiency and sensitivity are improved; in the filter piece connected with the air inlet flow channel, the filter screen can intercept impurities, pollution to the detection unit, influence on result accuracy and reduction of element loss are avoided, and the threaded connection of the connecting cylinder facilitates maintenance; the anti-vibration pad at the bottom of the shell supports the air inlet channel, external vibration influence is reduced, looseness of internal components is reduced, and stable work of the device is guaranteed; the warning lamp is electrically connected with the controller and the like, and warning signals can be sent out in time when abnormity is detected, so that rapid processing is facilitated, and the early warning capacity is improved. According to the device, efficient and accurate detection, stable operation and timely early warning are realized, and the tunnel safety monitoring level is improved.

The invention provides a citrus tree health assessment method based on image processing and an algorithm, and aims to judge citrus tree Huanglongbing infection conditions. According to the method, the growth state of the citrus tree is captured by utilizing a high-resolution image, and plant diseases are identified and analyzed by adopting an advanced image processing technology. By establishing the health assessment model, the citrus trees are monitored and assessed in time, so that a scientific decision basis is provided for farmers. Compared with a traditional manual evaluation method, the method can adapt to citrus trees of different types and growth environments. Meanwhile, through long-term accumulation and analysis of data, valuable scientific research data support is provided for the citrus industry, and development of ecological agriculture is promoted. The implementation of the method provides an effective technical means for health management of citrus trees, promotes the scientific and intelligent process of the citrus industry, and assists sustainable agricultural development.

The utility model relates to the technical field of motorcycle auxiliary equipment, concretely relates to a motorcycle handlebar pipe vibration reminding device, including handlebar pipe body, mounting plate, micro vibration motor, control box, singlechip, battery power monitor and monitoring subassembly, can monitor the electric quantity of battery through the battery power monitor installed in the control box, when the electric quantity is lower than the monitoring set value, at this moment, the singlechip controls the action of two micro vibration motors in the handlebar pipe body and produces vibration, then, the vibration is transmitted to the handlebar pipe body, the driver holds the handlebar pipe body with both hands, can receive the vibration prompt information, then, the information of low electric quantity is acquired in time, and is not influenced by external noisy environment and other factors, further can more directly and effectively remind the driver when the electric quantity of vehicle battery is low, ensures driving safety and information acquisition in time.

The invention discloses a full-automatic medicine dispensing machine which comprises a box body, a multi-layer medicine dispensing device and a display device, the multi-layer medicine dispensing device comprises an installation frame, a plurality of containing discs, a plurality of limiting assemblies and a plurality of buckles, and the installation frames are arranged in the box body; the plurality of placing trays are arranged on the mounting frame at equal intervals; the multiple limiting assemblies are movably arranged on one sides of the multiple containing discs correspondingly. The plurality of buckles are respectively inserted into the bottoms of the plurality of placing trays; the display device comprises a display assembly, and the display assembly is arranged on one side of the box body. Therefore, medicine distribution is greatly accelerated through automatic operation, it is guaranteed that patients obtain medicine in time, accurate placement and distribution are guaranteed through PLC accurate control and sensing monitoring, reliability is improved, operation management is facilitated through a friendly user interface, and service quality and patient satisfaction are improved.

The present invention discloses a piping identification method and system, and relates to the technical field of water body identification. The method comprises: receiving infrared images sent back by a drone and generating a temperature matrix, automatically identifying and segmenting the boundary between the water body and shore plants based on a water body segmentation algorithm of a deep learning model; extracting temperature data of the water body area from the temperature matrix using the result of the water body segmentation; using an automated temperature identification algorithm, analyzing the processed temperature matrix, comparing the temperature differences between different areas inside the water body, and identifying the piping area; the present invention combines drone technology and deep learning methods to address the identification problem of piping under the water body, solves the challenge of accurately identifying and eliminating interference factors in a complex environment, uses a convolutional neural network to accurately segment the water body and shore plants, effectively eliminates the identification error caused by environmental interference, and makes the temperature data extraction more accurate, thereby improving the overall accuracy of piping identification.

The utility model relates to the field of rock sampling, and discloses a mine geological exploration rock sampling device which comprises a cart, a sampling assembly is arranged at the top of the cart, a first motor is fixedly connected to the outer wall of the cart, a screw is fixedly connected to the output end of the first motor, a movable seat is in threaded connection with the outer wall of the screw, and a movable rod is fixedly connected to the movable seat. A second motor is fixedly connected to the inner wall of the moving seat, the output end of the second motor is in transmission connection with a transmission belt through a rotating shaft, the transmission belt is in transmission connection with a supporting shaft, a rotating seat is fixedly connected to the top end of the supporting shaft, and an electric push rod is fixedly connected to the inner wall of the rotating seat. And the output end of the electric push rod is fixedly connected with a lifting seat. According to the sampling device, the structures such as the motor I, the screw rod and the motor II are arranged, so that the sampling assembly can be driven to switch in the horizontal transverse direction, the high-low position and the orientation angle, the equipment moving time is shortened, the sampling work is more continuous and efficient, and the sampling efficiency is improved.

The utility model belongs to the technical field of bags and suitcases, and particularly relates to a flyknit handbag which comprises a bag body, metal wires, lamp beads, a push-pull type electromagnet, a communication module and a positioning module. A metal wire which is high in fatigue resistance and not prone to deformation is arranged on the inner side of the bag body, the metal wires are distributed in a criss-cross mode at intervals and play a role in shaping and burglary prevention of the bag body, the surfaces of the metal wires are subjected to coating treatment, lamp beads are arranged at intervals, and a lamp bead system is provided with a sensor and is in linkage with a bag body lock catch. And the lamp bead is automatically lightened for illumination. And the push-pull electromagnet is matched with the matching block, is provided with a switch and is linked with the communication module. Through the arrangement of the components, the supporting performance of the flyknit handbag is improved, the appearance is more attractive, the safety of the handbag is improved, meanwhile, the handbag is more convenient and rapid in the using process through intelligent lighting and a convenient unlocking mode, and the requirements of modern consumers for the functionality and practicability of luggage products are fully met.

The utility model relates to the technical field of sheep house feeding devices, in particular to a walking type sheep house quantitative feeding device which comprises a feeding trough, a left stand column and a right stand column which are symmetrical to each other are arranged on one side of the feeding trough, supporting plates are fixedly installed at the top ends of the stand columns, and walking driving assemblies are arranged on the two supporting plates. The walking driving assembly comprises a servo motor fixedly installed on the top face of one supporting plate, a wire twisting disc is fixedly installed at the tail end of an output shaft of the servo motor, the walking driving assembly further comprises a supporting frame fixedly installed on the top face of the other supporting plate, and a fixed pulley is rotationally connected between the upper side plate body and the lower side plate body of the supporting frame through a rotating shaft. A steel cable connected end to end is arranged between the wire twisting disc and the fixed pulley, a feeding assembly is arranged on the steel cable and comprises a feeding hopper installed on the steel cable, an inclined pipe is fixedly installed at the bottom end of the feeding hopper, and a discharging valve is fixedly installed on the inclined pipe. The walking type feeding device is convenient for walking type feeding, and manpower is saved.

The present application is about a valve room monitoring system, which belongs to the technical field of oil and gas pipeline monitoring. The monitoring system includes an equipment room, control equipment, power distribution equipment, communication equipment and HVAC equipment; the control equipment, power distribution equipment and communication equipment are located in the equipment room, and the HVAC equipment is fixed to the wall of the equipment room; the control equipment is electrically connected to the power distribution equipment, communication equipment and HVAC equipment respectively, and the power distribution equipment is electrically connected to the communication equipment and HVAC equipment respectively. The control equipment obtains the pipeline data in the equipment room, and sends the pipeline data to the remote monitoring equipment through the communication equipment; the HVAC equipment controls the temperature in the equipment room to be within the target temperature range; and the power distribution equipment is controlled to continuously supply power to the valve room monitoring system. The power distribution equipment continuously provides electric energy, the HVAC equipment achieves constant temperature, and the communication equipment sends data to the remote monitoring equipment, so that the valve room monitoring system can enable technicians to obtain parameter data in the valve room of the oil and gas pipeline in a timely manner.

The invention relates to the technical field of vehicles, and discloses a method and system for synchronizing journey information after a passenger wakes up, electronic equipment, a storage medium and a vehicle, and the method comprises the steps: recognizing the identity of the passenger, obtaining the passenger information, and monitoring the state of the passenger to judge whether the passenger is sober or not, analyzing the facial expression and the eye state of the passenger in real time to judge whether the passenger is converted into a waking state from a sleep state or not; obtaining the journey information, the journey information obtaining process involving interaction with the navigation service by requesting and receiving the journey information; and providing the journey information for the passenger, and selecting a corresponding reminding mode according to the position of the passenger and available equipment. According to the invention, the distance information can be timely, conveniently and automatically obtained after the passenger wakes up, the travel experience of the passenger is improved, the interference of active inquiry of the passenger to a driver is avoided, and the driving safety is guaranteed.

This invention provides a novel light field AR-HUD device integrating dual-focal-plane and triple-focal-plane displays. In this invention, light from three different virtual image distances is emitted from the same image source. The light from the farthest focal plane passes through an adjustable optical path device and is transmitted together with the light from the intermediate focal plane to a small freeform surface mirror. The light from the closest focal plane is emitted by the PGU and transmitted to the small freeform surface mirror. Then, the light from all three focal planes is projected onto a large freeform surface mirror and reflected by the car windshield into the driver's eyes, allowing the driver to simultaneously see images from three different distances. This invention uses a single PGU and, through its optical structure, can achieve switching between dual-focal-plane and triple-focal-plane light field AR-HUD displays, meeting the needs of more driving scenarios, resulting in more layered images and superior display effects, while avoiding a significant increase in cost, providing a new solution for the development of HUD technology.

The application discloses a kind of civil aviation weather short-time prediction methods based on weather radar echo extrapolation, by combining the optical flow method of pyramid algorithm to construct the motion vector field of radar echo map of radar wave, on the basis of motion vector field, extrapolation is obtained to predict the radar echo map of future time, and fusion ADS-B terminal system is displayed and early warning.The method realizes 2 hours extrapolation prediction of weather radar echo, helps weather, control and flight personnel to grasp the reference of weather;Realize a weather, control and flight organic integration of diversified platform, conducive to weather, control, flight personnel to establish consistent scene consciousness, guarantee flight safety.Control and flight personnel can effectively, timely obtain the latest meteorological information and dangerous weather warning information, and combine with ADS-B technology, according to aircraft track and meteorological warning information, guide aircraft to avoid dangerous weather, so as to improve airspace utilization.