120 results about "Impact monitoring" patented technology

An impact monitoring apparatus that includes a support member made of an elastic material capable of being attached to or worn by a user and at least one force measuring element attached to the support member. The force measuring elements may be easily removed from the support member. The force measuring element may include an indicator capable of indicating the amount of force or impact sustained by the user. If the force measuring element does not include an indicator, then the apparatus may further include an indicator that is associated with the force measuring element.

A wireless environmental monitoring system is disclosed comprising at least one monitor unit in wireless communication with a remote monitoring centre by way of the Internet and a server unit wherein the server unit is in wireless communication with both the monitor unit and the remote monitoring centre. The monitor unit comprises at least one sensor configured to detect an anomalous environmental condition such as the presence of or undesirable change in environmental variables. The monitor unit further comprises an alarm system and a relay output wherein the relay output is configured to trigger an event in response to the anomalous environmental condition to mitigate damage that may be caused by the anomalous environmental condition. The remote monitoring centre is configured to receive and monitor the operational parameters of the monitor unit to interpret an anomalous environmental condition detected by the monitor unit in light of operational variations which may affect the accuracy of the monitor unit. The remote monitoring centre is also configured to receive and communicate environmental data to the monitor unit to establish the base threshold level used to determine an anomalous environmental condition.

The invention discloses a plate structure impact monitoring method based on the fractal theory, and belongs to the technical field of impact monitoring of structure health monitoring. The method comprises steps as follows: step one, distribution of distributed fiber bragg grating sensors; step two, computation of box-counting fractal dimensions of the fiber bragg grating sensor impact response signals; step three, collection of the fiber bragg grating sensor impact response signals corresponding to sample impact points and box-counting fractal dimension computation; step four, collection of the fiber bragg grating sensor impact response signals corresponding to to-be-detected impact points and box-counting fractal dimension computation; step five, computation of x-axis coordinates of the to-be-detected impact points; step six, computation of y-axis coordinates of the to-be-detected impact points. According to a positioning algorithm, the positions of the impact points are judged through computation of the box-counting fractal dimensions of fiber bragg grating sensor impact response signal frequency spectrums, and the method has the characteristics of no need of a large number of prior knowledge, simplicity, rapidness, convenience, high practicability and the like.

The invention provides a plate structure impact load positioning method based on a distributed fiber bragg grating sensing network, and belongs to the field of impact monitoring of structure firmness monitoring. The method includes the steps of firstly, arranging the distributed fiber bragg grating sensing network; secondly, collecting an impact response signal; thirdly, extracting feature information and analyzing sensitive characteristics of an FBG sensor; fourthly, positioning the position of an impact point through the association algorithm of the maximum peak amplitude ratio of the impact response signal and position information. The positioning algorithm is simple, rapid, convenient and reliable and is high in instantaneity.

The invention provides a method and a system for monitoring abnormities in the technique process, aiming at solving the problem that the existing monitoring method also can give out alarm for certainnormal conditions of the equipment so as to influence monitoring accuracy. The method comprises the following steps: circularly detecting and acquiring a state variable value of a target device; viewing whether the state variable value meets a preset condition in preset tolerance time when in each detection; if the time without meeting the preset condition excesses the tolerance time, an alarm isgiven on abnormity. The invention can discriminate abnormities in short time (namely normal condition of certain equipment), and does not alarm frequently, thus improving the accuracy rate of the abnormal monitoring and is beneficial to improving the work efficiency of operators and maintainers of the equipment.

The invention provides a method for modal analysis and structural impact monitoring based on compressed sampling and belongs to the technical field of structural health monitoring. According to the invention, a compressed sampling technology is used to collect impact load signals; then, modal analysis is conducted on compressed sampling data of the collected impact load signals by a singular value decomposition method, so that modal parameters of the structure are acquired; and finally, parameters including sizes and positions of impact loads are acquired through a signal reconstruction method based on the compressed sampling data. According to the invention, the problem about poor accuracy existing in structural modal parameter acquisition of a complicated structure based on modeling as well as the problem about overlarge data size of multiple sensors could be solved. The method has the advantages that a sensor network arranged on a to-be-monitored structure is used for impact monitoring; the structure can be monitored rapidly and accurately in real time; energy consumption is low; the size of stored and transmitted data is small; data loss is reduced during storage and transmission, etc.

The invention discloses a miniaturized digital large-scale sensor array impact monitoring system, which comprises a system power supply module, a signal interface module, a trigger control module, a central processing module, a large-capacity onboard high-speed storage module, a wireless radio-frequency module, an external interacting interface and n piezoelectric sensors. The system has the characteristics of small volume, light weight, low power consumption and the like; the system does not need a signal conditioning circuit and an AD (analog/digital) converting circuit; through level comparison, the signals of the sensors are recorded in a Boolean way; the data of multiple effective piezoelectric sensors can be automatically extracted when an impact approaches; and the impact area and the position are further judged. The monitoring system can work in a controlling mode and a controlled mode; the large-scale sensor array monitoring can be achieved by adopting networking; and the monitoring data and the calculation result are sent through wireless transmission or an external bus, an airborne field bus of an airplane, a fiber data transmission bus of the airplane and the like.

The present invention relates to a flexible sheet structure impact load identification method based on combination of a distributed SNS (Single-mode-No core-Single mode) multiple-mode interference fiber optic sensor and an automatic encoder deep learning algorithm, belonging to the technical field of structure health monitoring impact monitoring. The method comprises the following steps of: the step 1: layout of an SNS fiber optic sensor; the step 2: construction of a distributed SNS fiber optic sensor sheet structure impact load monitoring system; the step 3: real-time monitoring and collection of impact response dynamic signals, and recording of an impact test data to generate a sample bank through impact test for different positions and different energy; the step 4: preprocessing for the sheet structure SNS fiber optic sensor impact sample bank data; the step 5: selection of an automatic encoder as a deep learning model, construction of a network structure, and training of a deep learning neural network; and the step 6: through adoption of a trained model obtained in the step 5, processing of the SNS fiber optic sensor impact response data to achieve identification for the impact load position and energy.

The invention discloses a damage monitoring method for a composite material structure with high accuracy. A plurality of piezoelectric sensors are evenly arranged in the composite material structure to be tested to form a piezoelectric sensor network; a plurality of pressure sensors are selected in the sensor network as Impact monitoring pressure sensor; when an impact event occurs on the composite material structure under test, the signal collector synchronously collects the impact response signal of the impact monitoring piezoelectric sensor; performs impact monitoring according to the impact response signal, and obtains the impact event parameters; determines the damage according to the impact event parameters Monitoring area: According to the scope of the flaw detection detection area, the corresponding piezoelectric sensor is selected from the piezoelectric sensor network as the damage monitoring piezoelectric sensor, and the corresponding scanning strategy is formulated. The invention only performs damage monitoring on the damage monitoring area associated with the impact event in the composite material structure, reduces the number of Lamb wave sensing signals that need to be collected and processed, and effectively improves the damage monitoring efficiency.

The invention discloses an impact monitoring and energy assessment technology for a composite material structure and belongs to the technical field of intelligent detection and assessment of the composite material structure. According to the technology, a new two-step impact positioning method including an energy distribution smooth filtering method and a TOF (time of flight) based four-side central positioning method is applied in the aspect of impact positioning; in the aspect of impact energy assessment, a multipath integrated energy distribution assessment method for imaging processing based on pixel grid optimization is proposed and assessment for the absorbed energy distribution condition of the structure is realized. With the adoption of the technology, whole-layout impact positioning and energy assessment are realized; by means of the new two-step impact positioning method, precision, timeliness and reliability of impact positioning are improved; influence of structural complexity and composite anisotropy on the impact positioning and impact energy assessment performance is inhibited, effective impact positioning and energy assessment in a severe external environment are also improved, and wide application of the technology in technical fields of intelligent detection and assessment of the composite material structure is promoted strongly.

The invention discloses a low speed impact position identification method based on approximate entropy calculation and belongs to the impact monitoring technology field of structure health monitoring. The method comprises the following steps of step1, carrying out distributed optical fiber bragg grating sensor layout; step2, adopting a calculating method of optical fiber bragg grating sensor impulse response signal approximate entropy; step3, collecting an optical fiber bragg grating sensor response signal corresponding to an impulse point to be measured and carrying out approximate entropy calculation; step4, determining an area where the point to be measured is located and calculating an approximation entropy of a sample impulse point response signal in the area; step5, constructing a relation model of a distance of the impulse point to a sensor and a corresponding approximation entropy difference value; and step6, based on a three-line crossing method, determining a position of the impulse point to be measured. A positioning algorithm in the invention possesses characteristics that a lot of prior knowledge is not needed; and practicality is high and so on.

The invention provides a logistics monitoring apparatus. The logistics monitoring apparatus is mainly composed of two parts, i.e., an impact monitoring assembly and an inclination monitoring assembly. The impact monitoring assembly is composed of a weight and an elastic material or is composed of an inner pipe, an outer pipe and a colored solution in the inner pipe. The inclination monitoring assembly is composed of a disk or a ball and a storage chamber. The impact monitoring assembly is sensitive to an external force, and when an effect exceeding a rated impact force is applied, the weight is deviated from an originally stored position or the colored solution penetrates into a display window, so that an impact monitoring effect is realized. The inclination monitoring assembly is sensitive to inclination, and when the inclination exceeds a certain angle, the disk or the ball is deviated from the original storage chamber, so that an inclination monitoring effect is realized. According to the invention, the design is simple, the processing difficulty is small, through different combinations of the impact monitoring assembly and the inclination monitoring assembly at an upper position, a lower position, a right position and a left position or individual application of the impact monitoring assembly and the inclination monitoring assembly, a logistic monitoring apparatus series can be produced, and the demand for monitoring the impact and the inclination applied to goods is satisfied. The logistics monitoring apparatus is applied to the field of logistics transportation and monitoring.

The invention discloses a two-stage noise reduction method for an impact monitoring digital sequence for a miniature digital large-scale sensor array impact monitoring system. After the miniature digital large-scale sensor array impact monitoring system acquires a digital sequence, two-stage noise suppression is carried out on the digital sequence by using the method. Haar discrete wavelet transform is adopted in the first-stage noise suppression. A noise reduction method based on the feature digital sequence is adopted in the second-stage noise suppression. The distinguishing criterion for determining the feature digital sequences is as follows: the proportion of digital sequences equal to 1 (i.e., high level) is larger than R in digital sequences the rising edges of which last for a certain length of m. Based on the method, the accuracy of impact monitoring of the miniature digital large-scale sensor array impact monitoring system can be improved and erroneous judgment and false alarm to impact are reduced.

The invention discloses a traffic monitoring system for labeling road section information by using a video monitoring presetting bit. The system comprises terminal equipment arranged at a monitored crossroad, a control system and a video display device arranged in a monitoring chamber, and a transmission system; the terminal equipment comprises a cradle head with presetting bit function and a camera; the control system comprises a cradle head lens focus control unit, a presetting bit setting unit and a presetting bit calling unit; the traffic monitoring system is also provided with a road section information labeling module, wherein the road section information labeling module comprises a decoder unit, an insert character control unit, a road section information data table unit and a character insert unit; and the insert character control unit comprises an interrupt module. The system solves the technical problem that the traffic video monitoring system with presetting bit function in the prior art cannot realize quick and accurate display of related information such as names of specific road sections and the like so as to affect the monitoring personnel on monitoring the road condition information in time, and is a traffic monitoring system for automatically labeling road section character information.

A self-contained monitor array for measuring at least one type of electromagnetic emission and at least one type of mechanical wave emission from a marine-based and/or terrestrial human activity or installation such as alternate energy sources. A multi-modal monitor system includes at least two such arrays, at least one clock, and at least one data storage unit.

The invention provides an energy-consumption -accuracy controllable sensor dual-parameter distribution system comprising a sensor and a server which are connected via a transmission channel, wherein atraining mode of the system statistically analyzes internal relations between performance indexes such as coding energy consumption, transmission energy consumption and scene classification, and twocontrol parameters, and builds an accuracy parameter optimization model between an accuracy threshold and an (S, Q) control parameter through analyzing how a sampling factor S and a quantization parameter Q influence characteristics such as coding complexity, a bit rate and image quality, of a monitoring image. The working mode of the system can preset a proper (S, Q) control parameter according to an accuracy parameter optimization model, to gradually adjust energy consumption of the sensor under the constraint of classification accuracy, and acquire approximately optimal energy-consumption-accuracy control performance. According to the system provided by the system, a computing method for the control parameter is provided through testing the characteristics such as the coding complexity,bit rate and accuracy, of intelligent wireless image monitoring, and an energy consumption-accuracy controllable mechanism is provided for a monitoring and imaging application.

The invention discloses a multifunctional monitoring device, belongs to the technical field of monitoring devices, and solves the problems that most of monitoring devices in the prior art monitor onecertain area, are powered by traditional power sources for a long time and consume a large amount of energy; the monitoring devices work in outdoor environments for a long time, the cameras of the monitoring devices are polluted by rainwater and sand wind-blown sand, and the monitoring effect is affected. The multifunctional monitoring device comprises a monitoring device body and is characterizedin that slide rails are arranged on two sides of the camera window of the monitoring device body, a sweeping device is slidably connected to the slide rails, first fixed pulleys are arranged on two sides of the sweeping device, a second fixed pulley and a second fixed pulley are respectively arranged on two sides of the monitoring body in a staggered manner, and a clamp seat is fixedly mounted atthe bottom of the monitoring device body; a linear driver is mounted on a support, a storage battery is connected with output end of a solar panel, a motor and the linear driver, and a steel wire rope sleeves the first fixed pulleys and winds around the second fixed pulley and the third fixed pulley to be connected with the linear driver.

The invention provides a traffic monitoring system label road section text messages by using preset bits, comprising a terminal unit arranged at a monitoring intersection, a control host and a video display device arranged in a monitoring room, and a transmission system, wherein the terminal unit comprises holders with presetting bits and cameras; the traffic monitoring system is also provided with a presetting bit road section information labeling system, wherein the presetting bit road section information labeling system comprises a presetting bit data sheet unit, a presetting bit control call unit and a character insertion unit. The traffic monitoring system is mainly used for solving the problem that the traffic video monitoring system with a presetting bit function in the prior art can not rapidly and exactly display the related information, such as names of the specific road sections and the like so as to influence the monitoring personnel to monitor road condition information timely, and is an independently developed video monitoring system using the preset bit to label the road section text messages, without the need of using a control host carried by the preset bit system.

The embodiment of the invention provides a target monitoring method, device, apparatus and system, and the method comprises the steps: obtaining the attribute of a monitoring target in an acquired image of a first type of monitoring equipment instead of calibrating the two types of monitoring equipment, and carrying out the matching and determination of the monitoring target in an acquired image of a second type of monitoring equipment according to the attribute of the monitoring target; Therefore, the determination of the monitoring target is not influenced due to inaccurate calibration or change of the position of the monitoring equipment, so that the monitoring effect is improved.

The invention discloses a real-time impact monitoring instrument and method of a large-scale aviation structure. The monitoring instrument disclosed by the invention comprises a system power supply module, a signal interface module, a charge amplifier module, an A/D (Analog to Digital) converter module, a programmable logic device module, a control and computing center, a high-capacity onboard high-speed memory module, an external interaction interface and n paths of piezoelectric sensors. The method disclosed by the invention comprises the following steps: the configuration is initialized; strain signals are collected; a charge amplification circuit converts the input charge quantity into the voltage quantity, and the voltage signals are input into a programmable logic device after beingconverted by the A/D converter; the input voltage quantity is firstly compared with the reference voltage digital quantity; when the high level occurs, the channel for triggering the data and the ambient three channels with the maximum signal energy are taken as the effective channel for data storage, and the data of the other channels are abandoned; the region in which the current impact accident occurs and the accurate position in which the impact occurs are judged; and the stored data are transmitted out through the external interface.

The present invention discloses a method for locating an impact area of a composite structure based on an energy weighted factor, which belongs to the field of structural health monitoring technologies. According to the characteristic that the closest a sensor in an impact occurring sub-area is to the impact position, the most the sensor is affected by the impact, the present invention defines a characteristic parameter of the energy weighted factor, to represent the degree that each sensor is affected by the impact within the entire impact monitoring range, then calculates the degree that each sub-area is affected by the impact within the monitoring range, and finally determines that the sub-area most affected is the impact occurring sub-area. The present invention solves the problems of localization confliction of adjacent nodes and locating blind zones of mid-areas arising during existing multi-node large-scale networking monitoring; the method unites a plurality of nodes to jointly perform impact monitoring through networking, can quickly and accurately perform impact localization on all sub-areas within the network monitoring range, and has good application prospects in the aspect of impact monitoring of large-scale composite structures.