29results about How to "Timely warning" patented technology

The invention provides a drug inventory dynamic monitoring method and system based on edge calculation. The drug inventory dynamic monitoring method comprises the steps that drug parameters and environment data of all intelligent drug cabinets and warehouse areas and biological characteristics of operators are collected; determining a behavior log of the operator according to the operation action and the medicine change data, and generating a digital signature of the operator through the biological characteristics; constructing lightweight block chain nodes of the intelligent medicine cabinets and the warehouse areas, and packaging and chaining behavior logs and digital signatures through inter-node consensus of all the block chain nodes to generate an operation voucher; according to the average compliance rate and the operation voucher, carrying out trust evaluation on the compliance condition during operation to obtain a trust score; and comparing the trust score with a trust threshold, and if the trust score is lower than the trust threshold, locking the high-risk drug operation authority of the operator. By adopting the scheme of the invention, real-time credible evidence storage and dynamic evaluation can be carried out through behaviors of an operator, so that timely interception and early warning of high-risk medicine operation are realized.

The utility model discloses a numerical control machining cutter bar which comprises a cutter bar fixing frame, a trigger mechanism and a warning mechanism, the trigger mechanism is fixedly installed on one side of the cutter bar fixing frame and comprises a trigger protection bin, a trigger rotating ring is arranged in the trigger protection bin, a trigger pressure plate is arranged on one side of the trigger rotating ring, and the trigger pressure plate is arranged on the other side of the trigger rotating ring. A warning mechanism is fixedly installed in the trigger protection bin, trigger positioning frames are arranged on the two sides of the trigger rotating ring, the trigger positioning frames and the trigger protection bin are fixedly installed, and a plurality of evenly-distributed trigger friction balls are installed between the trigger positioning frames and the trigger rotating ring. According to the cutter bar of the numerical control machine machining cutter, due to the arrangement of corresponding mechanisms, after the vibration reduction cutter bar rotates and deviates, warning can be conducted in time, an operator can find the deviation in time and stop the machine in time, the influence on machining precision is reduced, the probability that workpieces are scrapped is reduced, and machining losses are reduced.

The utility model provides a high-efficiency gas-liquid mixing stirrer, belongs to the technical field of biodegradable material production, and aims to solve the problem that the air pressure balance in a stirring tank is easily influenced as a driving motor and the stirring tank are mostly sealed through a sealing bearing and are not found in time in the conventional gas-liquid mixing stirrer. Comprising a stirring tank body, the driving motor is fixedly mounted at the upper part of the stirring tank body; the driving rotating shaft is rotationally connected to the interior of the stirring tank body, and the driving rotating shaft is mounted in the driving motor; the sealing bearing is fixedly mounted at the top of the stirring tank body; the sealing monitor is fixedly mounted at the top of the sealing bearing; the mixing assembly is arranged in the stirring tank body; and the warning assembly is arranged on the outer side of the driving rotating shaft. The device has the advantages of efficient mixing, convenience in use, timely warning and the like.

This utility model relates to a sensing device for analyzing the degree of aging and degradation of liquid or paste-like materials and the impurity content in the materials, and a wind power generation device. The sensing device includes: a vibration unit, which includes a crystal oscillator that applies shear vibration to the materials under an excitation voltage; a sensing unit, which includes at least one sensor composed of interdigitated electrodes arranged on the vibration unit to detect changes in the dielectric properties of the materials under shear vibration; and a calculation unit, which is communicatively connected to the vibration unit and the sensing unit, respectively. The calculation unit receives and processes a first signal from the vibration unit and a second signal from the sensing unit, and determines the aging and degradation of the materials and the impurity content in the materials based on the first and second signals.

This application discloses a method and system for atrial fibrillation (AF) detection based on facial videos. The method includes: acquiring multiple sets of facial videos of different human subjects; extracting photoplethysmography (PPG) signals from the facial videos; extracting heart rate variability (HRV) features corresponding to the human subject based on the facial PPG signals; determining an AF judgment result matching the HRV features based on the detected ECG signals corresponding to the human subject, and adding corresponding AF markers to the video frames of the AF judgment result; classifying and training the multiple sets of facial videos with AF markers using a multilayer perceptron to obtain an AF detection model; and using the AF detection model to perform feature analysis on the facial videos corresponding to the subject, and outputting the AF detection result corresponding to the subject. This application's solution, through artificial intelligence analysis of facial videos, provides timely warnings of potential AF in patients, thus providing a reference for clinical treatment.

This application discloses a method and device for early warning of sleep apnea in newborns, relating to the field of intelligent monitoring and pattern recognition technology. The method includes: acquiring initial audio data and real-time monitoring audio data of a newborn's sleep; performing feature analysis on the initial audio data to construct a standard breathing pattern, i.e., a dominant frequency signal, characterizing individual breathing features; dividing the real-time monitoring audio data into multiple time segments, calculating the pattern matching degree between each time segment and the standard breathing pattern to identify variations in the breathing waveform; and classifying and discriminating based on the matching degree to generate a risk warning signal for sleep apnea. This application achieves accurate identification and early warning of newborns' sleep breathing state by constructing personalized standard breathing patterns and using pattern matching algorithms to quantify the differences between real-time data and the standard pattern.

This invention provides a method and system for taking over autonomous driving in vehicles. The method includes the following steps: identifying the driver's fatigue level based on real-time acquired facial images; outputting corresponding reminders based on the driver's fatigue level, and selecting between maintaining vehicle operation through autonomous driving or controlling the vehicle to pull over through autonomous driving. This invention can provide safety reminders while automatically activating different levels of autonomous driving functions, effectively reducing vehicle safety accidents caused by sudden health issues of the driver.

The invention provides a battery pack monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining multi-dimensional parameters of a target battery pack, the multi-dimensional parameters comprising a standby power duration parameter, a capacity parameter, a reliability parameter, a data integrity parameter, a decay speed parameter, a hidden danger improvement parameter, a hidden danger work order parameter and an offline parameter; according to the multi-dimensional parameters, evaluating the health degree of the target battery pack to obtain a target health degree; and performing maintenance control on the target battery pack according to the target health degree. According to the invention, comprehensive and accurate evaluation of the health degree of the battery pack is realized by collecting the multi-dimensional parameters of the battery pack, the maintenance decision performance is effectively improved, the scientificity and effectiveness of health management and control of the storage battery pack are improved, and the operation cost and the power supply interruption risk are remarkably reduced.

The invention discloses an explosion-proof grounding resistance on-line monitoring system and device, and relates to the technical field of grounding resistance monitoring. Comprising a grounding loop, a resistance monitoring device and an intelligent control platform, wherein the grounding loop is formed by a metal grounding electrode, a connecting conductor and to-be-protected equipment; the resistance monitoring device obtains a real-time resistance value of the loop, so that the resistance fluctuation state in unit time is monitored on line in a full-dimension manner; and the intelligent control platform communicates with the resistance monitoring device through a local area network, and transmits the resistance value of the grounding loop to the intelligent control platform for monitoring and displaying. According to the invention, a full-chain digital intelligent lightning safety protection comprehensive solution covering sensing, transmission, analysis, decision making and disposal is created, grounding system detection normalization is realized, a traditional lightning protection grounding system monitoring mode is promoted to be transformed and upgraded to be intelligent, the lightning protection and disaster reduction working level is improved, and lightning protection is transformed from passive protection to active defense.

The utility model discloses a slope bridge pile foundation monitoring device, which comprises a pile foundation fixing component, a slope bridge pile foundation monitoring component and a slope bridge pile foundation monitoring component, the slope fixing part is rotationally connected with the pile foundation fixing part and is used for being fixedly connected to a slope; the monitoring assembly comprises a plurality of monitoring columns, the monitoring columns are distributed on the pile foundation fixing component and the slope fixing component in an array mode in the height direction and embedded into the pile foundation and the slope correspondingly, every two adjacent monitoring columns are connected through a connecting component, and a sensor is arranged at the connecting position; the sensors are used for detecting the variable quantity of the adjacent monitoring columns caused by pile-slope relative displacement in real time. The utility model has the beneficial effects that the states of the pile body and the slope can be monitored in real time, and accurate data support is provided for safe operation and maintenance of a bridge.

The utility model discloses a waterproof structure for a post-cast strip of a basement bottom plate with a cracking monitoring function, which belongs to the technical field of basement waterproofing and is reasonable in structure. The left end and the right end of the tension and compression force measuring sensor are of symmetrically-distributed pre-embedded screw structures and are connected with the pre-embedded screws through the connecting screw sleeves respectively, the other ends of the pre-embedded screws need to be fixedly pre-embedded in concrete of a pre-cast bottom plate, a plurality of retaining separation blades are arranged, the firmness is improved, and then through the structural design, the tension and compression force measuring sensor can be conveniently assembled and disassembled. The pre-cast concrete on the left side and the right side of the post-cast strip is connected in an opposite-pulling mode through the force measuring assembly, shrinkage internal stress caused by environment temperature difference can be effectively offset, the situation that the structural sealing performance is damaged due to the fact that a joining seam is enlarged is prevented, and finally tension state information can be monitored and obtained in real time by connecting a force sensor with an external computer. And timely early warning and taking of cracking protection measures are facilitated.

An electronic tag includes a housing; a processor within the housing; a transceiver configured within the housing and coupled to the processor; a display coupled to the housing and the processor and configured to display information received via the transceiver; a clamping mechanism coupled to the housing and configured to secure the electronic tag to an intravenous (IV) tube; and a sensor configured within the housing and configured to measure a property of a fluid in the IV tube at a location of the clamping mechanism.

The application discloses a construction safety hidden danger detection method and system based on a multi-modal large language model, which comprises the following steps: adopting a streaming multi-modal data acquisition strategy to synchronously collect text logs, image streams and sensor data of a construction site in real time; using an edge computing device to perform parallel preprocessing on real-time multi-modal construction safety data streams to eliminate inter-modal time inconsistency; constructing a multi-modal data feature correlation graph to identify and repair modal data anomalies caused by environmental interference in real time; performing real-time feature extraction and fusion on the preprocessed data streams, and completing rapid coding and identification of cross-modal hidden danger features through a sliding window mechanism and attention weight dynamic adjustment; based on the real-time feature fusion result, performing instant analysis through an online hidden danger detection method; and according to the real-time detection result, completing real-time visualization and tracking of the hidden danger, thereby achieving timely early warning and tracking management of the hidden danger.

The invention provides a dam sensor data localization processing method based on edge calculation, comprising the following steps: collecting multi-source heterogeneous sensor data of a dam, the data comprising water level data, seepage data, stress strain data, temperature data and vibration data; carrying out adaptive preprocessing and quality evaluation on the multi-source heterogeneous sensor data to generate a standardized data stream; performing multi-modal feature extraction and dynamic fusion on the standardized data stream to generate a fusion feature vector; based on the fusion feature vector, a lightweight intelligent analysis model deployed at the edge computing node is adopted to carry out real-time state recognition and anomaly detection, and a state evaluation result and an anomaly early warning signal are generated; according to the state evaluation result and an abnormal early warning signal, dynamic task unloading and resource scheduling are carried out in combination with the real-time resource state of the edge computing node; and uploading the key processing result, the abnormal early warning signal and the compressed original data to a cloud data center as required.

The utility model provides a kind of superhigh cable and U-shaped glass combination support structure, including first crossbeam, second crossbeam, first column, second column flush with front, further include several U-shaped glasses, the upper and lower ends of U-shaped glass are fixed respectively in the outside of first crossbeam and second crossbeam by first embedded part, first column and second column are located respectively at the two sides of several U-shaped glasses, several anchorage points are arranged in the height direction of first column, second column, first steel cable connecting piece is embedded at the anchorage point of first column and second column, several through holes are equipped at the corresponding height of the flange of U-shaped glass and anchorage point, steel cable sleeve is fixed in through hole, the connecting hole of first steel cable connecting piece of the same height is aligned with the connecting hole of steel cable sleeve, several U-shaped glasses are connected by transverse cable, transverse cable can pass the connecting hole of first steel cable connecting piece, the connecting hole of steel cable sleeve and the both ends of transverse cable are anchored to first steel cable connecting piece, good appearance, applicable to the floor span of larger floor height, reduce the setting of crossbeam, compared with traditional method total span can increase n+1 times, floor height can increase n+1 times, n is the number of transverse cable.

The invention discloses a molding rubber roller wear detection device and detection method. The molding rubber roller wear detection device comprises a detector, a controller and a display, the detector comprises a gear rack linear module, a 3D laser sensor and a proximity switch; one rubber roller corresponds to one group of detectors; the gear rack linear module is mounted on an equipment shell of the equipment to be detected through a bolt; the 3D laser sensor is mounted on the gear rack linear module; the proximity switch is installed on the back face of a roller body of the rubber roller. According to the formed rubber roller wear detection device, the surface of the rubber roller is detected in real time, the 3D structure of the cylindrical surface of the running rubber roller and the surface data of the running rubber roller can be generated in real time, the test data is compared with a set range through the controller, the wear degree of the rubber roller can be monitored in real time, and early warning can be conducted in time; and an operator is prompted to replace the rubber roller.

This invention discloses a rapid identification method for ballastless track defects based on wheel-rail noise and vibration waveforms, comprising the following steps: S1 collecting vibration data in the ballastless track structure with frequencies between 0 and 2500 Hz, wherein vibration data not exceeding 400 Hz corresponds to the vibration frequency of the ballastless track bed, and the vibration data within this range is stored as vibration waveforms converted into images; vibration data exceeding 400 Hz corresponds to the audio frequency of wheel-rail noise, and the vibration data within this range is stored as noise audio characteristic data; S2 establishing a wheel-rail noise audio database and a ballastless track bed vibration waveform image database through long-term monitoring; S3 performing similarity analysis between the real-time collected train wheel-rail noise audio data and ballastless track bed vibration waveform data and the previously established databases to evaluate the service status of the track structure, and then determining whether it is a rail defect, fastener defect, or ballastless track bed defect, significantly improving the effectiveness, accuracy, and reliability of real-time identification of ballastless track structure defects.

This utility model proposes a PLC monitoring and control device for monitoring water hammer in pipelines. The device is characterized by being housed within a sealed enclosure, which includes a sensor module, a PLC data acquisition and processing unit, an early warning response module, a communication module, and a power supply module. The sensor module employs a stainless steel cylindrical probe or a probe structure with a standard threaded interface, connected to the PLC data acquisition unit via a high-pressure resistant conduit or a stainless steel armored cable. The probe of the sensor module integrates a pressure-sensitive element and is equipped with a shielded cable for signal output. The front of the sealed enclosure features an embedded touchscreen, multi-color LED indicator lights, a buzzer output port, and a communication interface. The sides / back of the enclosure have power input terminal blocks and sensor signal input interfaces. Inside the enclosure, the PLC data acquisition and processing unit integrates an ADC module, a signal conditioning circuit, and a vibration damping bracket.

The invention discloses a device and method for monitoring the blocking state of an urban gutter inlet. The device comprises a data processing unit, a waterproof microphone, a humidity sensor, a liquid level sensor, an LED state indicator lamp, a protective shell and a data transmission interface, and the data processing unit is connected with the humidity sensor, the waterproof microphone and the liquid level sensor. The method comprises the steps of training a blockage judgment model of sound features, installing and setting a monitoring device, judging and processing blockage, early warning accumulated water, resetting dormancy and the like. According to the invention, the defects of low labor efficiency, high misjudgment of a single sensor and large interference of light environment on vision in the existing gutter inlet blockage monitoring are overcome.

According to the dangerous goods transportation carrier real-time monitoring system, the transportation environment detection module adopts a sensor to detect environment parameter information during dangerous goods transportation, electrostatic protection output is performed through electrostatic protection and range adjustment, the carrier electrostatic detection module detects static electricity generated during dangerous goods transportation, static electricity is conducted according to the magnitude of electrostatic voltage, and then the dangerous goods transportation carrier is monitored. The fire hazard early warning module receives environment parameter information, compares the environment parameter information with a threshold value signal through a differential comparator, carries out early warning through inverse time limit triggering, and sends an early warning signal to the field monitoring host. The change rate of the environmental parameter information adjusts the size of a threshold signal, the signal after electrostatic conversion adjusts the comparison value of the differential comparator, and the on-site monitoring host performs fire alarm, automatically analyzes a fire source and takes linkage measures in combination with an early warning signal and a video camera, and remotely transmits positioning information to the monitoring terminal according to the early warning level.

The application relates to the technical field of meteorological early warning, and particularly discloses an intelligent meteorological early warning method based on a portable traffic meteorological station, which comprises the following steps: collecting meteorological data and rainfall data in real time through the traffic meteorological station and storing the data into a database; predicting rainfall risk in future time periods according to the real-time collected meteorological data and satellite cloud picture information to obtain predicted rainfall data; obtaining risk waterlogging points in a region, obtaining corresponding regions of each risk waterlogging point as risk regions, and establishing a waterlogging risk model of each risk region according to historical rainfall data in the database; and early warning each waterlogging point through the real-time collected rainfall data, the predicted rainfall data and the waterlogging risk model. The application improves the accuracy of the early warning time point, facilitates the traffic department to control according to the judgment result, avoids the influence of road waterlogging problems on people's life and property safety, and reduces the influence on traffic.

The application relates to an anchor rod with multiple force resistance lines, which comprises a core steel bar, a large sleeve, a small sleeve, a limiting structure comprising a large sleeve limiting end plate and a small sleeve limiting end plate, which are suitable for limiting the moving distance of the large sleeve and the small sleeve away from each other along the core steel bar; and an auxiliary force transmission structure comprising a large sleeve sealing head steel plate, a steel supporting plate provided with a large sleeve outer stiffening rib between the large sleeve and the steel supporting plate, the steel supporting plate being fixed on a rock wall, an inner sleeve provided in the large sleeve and surrounding the core steel bar, the inner sleeve being provided with a large sleeve inner stiffening rib between the large sleeve and the inner sleeve, and the large sleeve inner stiffening rib being connected with the large sleeve sealing head steel plate. After the core steel bar is stretched and deformed, the large sleeve limiting end plate and the small sleeve limiting end plate are in contact to provide anchoring force, play the role of the second line of defense, and cooperate with the anchoring force provided by the core steel bar to provide greater supporting force, so that the anchor rod can continue to play a role.

The invention discloses a health detection method and system for a transfer robot. The method comprises the following steps: acquiring a real-time health detection period of the transfer robot; judging whether the real-time health detection period is smaller than a preset period or not; if not, the battery health degree, the motion system health degree, the mechanical structure health degree, the electronic equipment health degree and the navigation health degree of the transfer robot are obtained; calculating a health value of the transfer robot according to the battery health degree, the motion system health degree, the mechanical structure health degree, the electronic equipment health degree and the navigation health degree; and obtaining a corresponding health degree grade according to the health value, and sending corresponding prompt information according to the health degree grade. According to the health detection method and system for the transfer robot, the health degree of the transfer robot is quantified, possible faults of the transfer robot can be predicted in advance, the operation reliability and safety of the transfer robot are improved, early warning or intervention is carried out in time before the faults occur, and the maintenance cost is reduced.

This invention relates to the technical field of intelligent transportation IoT, and provides a method and system for pedestrian red-light violation warning based on intelligent transportation IoT. The method includes: acquiring multi-source local sensing data at a traffic intersection; determining the current state of traffic lights based on the multi-source local sensing data to obtain an autonomous judgment result of the traffic light state; acquiring and monitoring external traffic light state information, and when the update of external traffic light state information is delayed or inconsistent with the autonomous judgment result of the traffic light state, prioritizing the autonomous judgment result to obtain a prioritized traffic light state; judging the pedestrian's red-light violation behavior based on the prioritized traffic light state and combined with the received pedestrian movement trajectory prediction of the crosswalk area; and triggering a warning based on the red-light violation behavior. This invention improves the timeliness and accuracy of pedestrian red-light violation warnings.

This invention relates to a microfluidic cleaning system and control method for a DNA synthesis apparatus, belonging to the field of synthetic biology. The invention performs flow analysis of the cleaning fluid in the main pipeline through image detection combined with weight detection to meet microfluidic requirements. In image analysis, grayscale conversion, Gaussian filtering, and contrast enhancement are used to significantly distinguish the liquid region from the pipe wall region, limiting subsequent analysis to the liquid region within the pipe wall and reducing computational load and noise. Furthermore, OTU threshold segmentation, Canny edge detection, and connected component analysis are used to accurately obtain the region of air bubbles, and differential analysis is used to obtain pixel changes at the location of the air bubbles. By analyzing the pixel changes within the air bubble region, the true flow condition is obtained. Joint analysis of the true flow condition and weight detection provides timely warnings in case of flow anomalies, ensuring that the cleaning process proceeds as required.

This invention provides a control system comprising: multiple area control layers, a data acquisition layer, and a security isolation layer. The area control layers include a data exchange module and multiple real-time Ethernet devices. The data exchange module acquires raw data from the real-time Ethernet devices, classifies the raw data to obtain real-time control flow data and standard acquisition flow data, and labels the real-time control flow data and standard acquisition flow data according to a first virtual LAN identifier and a first network address corresponding to the data exchange module, thereby obtaining real-time Ethernet device data, and sends the real-time Ethernet device data to the data acquisition layer. The data acquisition layer encapsulates the real-time Ethernet device data sent by the multiple data exchange modules and sends the core encapsulated data to the security isolation layer. The security isolation layer sends the encapsulated data to the data receiving end. This solution enables the data receiving end to directly obtain the operating data of the real-time Ethernet devices.

This application relates to the field of environmental monitoring technology, specifically providing a method, apparatus, storage medium, and electronic device for monitoring the construction environment. The method may include: during the construction of a tunnel boring machine (TBM) in a target area, collecting the original vibration signal generated by the TBM and the TBM's construction parameters; wherein the construction parameters include thrust and torque; inverting the pre-processed vibration signal from the original vibration signal to obtain a three-dimensional underground velocity model; obtaining the wave velocity change rate based on the underground three-dimensional velocity model, and obtaining index values ​​of rock mass anomalies based on the processed vibration signal; analyzing the construction parameters, the wave velocity change rate, and the index values ​​to obtain monitoring results for the target area; wherein the monitoring results include a risk level and response measures to address the risk level. The embodiments of this application can achieve dynamic monitoring of the construction environment and provide real-time risk warnings.

The utility model discloses an integrated boiler expansion internet of things sensor, including fixed box, its right side is fixed with the installation on the boiler through bolt, and left side is provided with the mounting hole, the indicating rod is movably installed in the mounting hole, the indicating rod bottom and the scale board abut, are used for the boiler expansion degree measurement. Through setting first displacement inductor and second displacement inductor in the indicating rod middle position and bottom of traditional mechanical expansion indicator, to make first displacement inductor and second displacement inductor indicating rod detected boiler vertical direction displacement and horizontal direction displacement carry out dynamic response and record, and in time through first connecting wire and second connecting wire transmission to singlechip, and after data integration on singlechip, through internet of things network transmission to monitoring system, and then in time to the expansion data of boiler monitoring and early warning, to improve the security of boiler operation.

This invention discloses a product appearance defect detection system and method based on image semantics, belonging to the field of defect detection technology. The system includes: an image acquisition module for acquiring real-time images of the product appearance; an image processing module for processing the real-time images of the product appearance; an image semantics module for extracting features and performing semantic segmentation on the real-time images of the product appearance to generate a semantic image of the product appearance; and a defect detection module for detecting defects in the product appearance, determining whether defects exist, and providing early warnings and visual displays of defect conditions. This invention solves the problem of existing methods that cannot effectively detect product appearance defects based on image semantics, resulting in poor defect detection performance. This invention can effectively detect product appearance defects based on image semantics and can provide timely early warnings based on defect detection results, thus improving the overall defect detection effect.