53results about How to "Detect anomalies" patented technology

To accurately detect a trouble of a magnetic brake (2) by eliminating any effect of a temperature of a location at which an elevator is installed, a temperature sensor (3) is arranged to measure a temperature of the magnetic brake (2). When an armature (2c) has been attracted responsive to a brake release command, the temperature of the magnetic brake is measured as a first temperature, and before the armature returns responsive to a brake actuation command, the temperature of the magnetic brake is measured as a second temperature. The first and second temperatures are compared with each other. When a result of the comparison between the first and second temperatures is determined to be greater than a predetermined value, the magnetic brake (2) is determined to have been locked and hence, to have developed a trouble.

The invention relates to a performance evaluation device for an excitation regulator and a PSS (power system stabilizer) of the excitation regulator. The device has the following functions: acquired operating data of a generator and operating data of an excitation system are calculated and analyzed, according to control definite value parameters of a PID (proportion integration differentiation) control model of the excitation regulator and a PSS control model of the excitation regulator, PID and PSS evaluation models corresponding to the actual excitation system are established, and finally, the online monitoring and real-time performance evaluation are performed on the PID and PSS models of the excitation regulator. Under the condition that safe and stable operation of a generator set and a grid is not interfered, the device evaluates the performance of the PID and PSS models of the excitation regulator and solves the problem that the PID and PSS models are very difficult to predict and detect.

The present invention provides an automatic checking device of elevators and an automatic checking method capable of detecting abnormity in elevators more reliably, with reduced cost. An elevator car and an elevator counterweight are hung by a main cord of a driving rope sheave winding on a traction machine. A weighing device is mounted on the elevator car to detect the loading of the elevator car as a detecting load. The rotating torque of the driving rope sheave is obtained by measuring the torque current of the traction machine through a torque detecting device. The information respectively from the weighing device and the torque detecting device are introduced into a judgment device where the loading of the elevator car calculated according to information of the torque detecting device is regarded as presumed loading. In addition, whether there is an abnormity capable of being judged by comparing the presumed loading and the detecting loading in the judgment device.

The invention relates to a road abnormality detection model based on window partition and dynamic time regularization, comprising the following steps: 1) carrying out threshold detection and sliding window processingon z-axis acceleration data, and screening fragments to be determined; 2) comparing the acceleration data of the segment to be determined with the segments of several known abnormal types and normal road segments through a dynamic time regularization algorithm to obtain a difference degree vector; 3) determining the abnormal type of the segment to be determined. The road abnormality detection model has the beneficial effects that the abnormal section of the road can be intercepted completely, and the experiment result also proves that the abnormal condition of the road can be detected more accurately on different data sets, and the effect of the method is better than that of the existing method in terms of the two-classification or the multi-classification.

The invention provides a method for monitoring an optical fiber link of a passive optical fiber network PON. The method comprises the following steps of: determining plural groups and leading every group to comprise a part of a plurality of optical fiber network units; connecting every group to an optical splitter through an optical fiber link respectively; reading return optical signals or optical energy of a plurality of groups by the terminal equipment of the optical fiber link, so as to judge the status of the optical fiber link among the terminal equipment of the optical fiber link, a first optical splitter and a plurality of groups. The invention also comprises a device and a system exercising the method.

A power conversion apparatus and a malfunction detection method thereof are provided to prevent a failure of one IGBT(Insulated Gate Bipolar Transistor) device from influencing the damage of the other IGBT device, by detecting abnormality of a gate driving circuit and the IGBT device. A power conversion apparatus uses a plurality of voltage controlled semiconductor devices. A pulse generation part(200) generates a command pulse to control on / off of the voltage controlled semiconductor device, on the basis of a command from a control circuit. A gate driving part(400a) receives the command pulse, and controls on / off operation of the voltage controlled semiconductor device by applying a voltage according to the command pulse as a gate voltage, and outputs a gate feedback signal indicating the on / off state of the voltage controlled semiconductor device. A failure detection part(300) detects a failure, by receiving the command pulse and the gate feedback signal. The failure detection part includes a detection part and a signal generation part for generating a signal to stop the command pulse for the voltage controlled semiconductor device.

A flame detector is provided. A circuit board is disposed in a housing. A first light source emits first light. A light guide member comprised of translucent material guides the first light from the first light source to a light emission portion of the light guide member. A first light receiving element detects second light having a predetermined wavelength unique to the flames. A second light source emits third light to a translucent cover which is disposed between an opening of the housing and the first light receiving element. A second light receiving element detects the third light passedthrough the translucent cover to test the translucency. The first light source, the second light source and the second light receiving element are mounted on the circuit board. The light emission portion is formed into a substantially annular shape which encloses the first light receiving element at a front side of the housing to limit a field of view of the first light receiving element to a predetermined range. And the light guide member has a light entrance portion and a light exit portion for the third light to form a light path from the second light source to the second light receiving element through the translucent cover and the light guide member.

The invention relates to a method for setting specification limit of a measurement machine monitoring chart. The method sets the specification limit of a machine according to the characteristic parameters of the machine, actual conditions of the machine during running and measurement requirement of the machine under inline condition so as to meet measurement performance and production measurement demand of the machine. The method disclosed by the invention has the advantages that: (1) reasonable specifications are set in each monitoring chart, and an abnormal condition of the machine can be sensitively detected; (2) the process capability index and the actual engineering capability index (Cpk) of the machine can be controlled within reasonable ranges, and the approval on the process capability index (Cpk) of the machine is facilitated; (3) combined with statistic and engineering judgment, each control chart is classified, so that each type of control chart can find acorresponding treatment method; and (4) automatic control can be achieved by means of complete process, and different problems of the machine can be recognized and classified.

The invention relates to the technical field of detection methods, in particular to a roller kiln energy consumption anomaly detection method based on self-adaptive principal component analysis. The roller kiln energy consumption anomaly detection method comprises the following specific steps that (1) firstly, a sample L is collected, the collected sample is standardized, and then a covariance matrix S is calculated; (2) characteristic decomposition is carried out on S, a principal component number k is obtained through calculation by using a CPV method, and a characteristic vector and a characteristic value are intercepted to obtain a load matrix P and a characteristic value matrix lambda; (3) an initial control limit is calculated; (4) a new sample of the sample L is continuously collected after a certain moment, standardizing is carried out, and abnormal judgment is carried out on the new sample; and (5) the steps (1), (2), (3) and (4) are circulated until the number of the samplesneeding to be updated reaches the number of the samples needing to be updated, the samples are updated and abnormal information judgment is carried out. According to the roller kiln energy consumptionanomaly detection method based on the self-adaptive principal component analysis, the abnormal condition of the roller kiln can be effectively detected, and the detection efficiency is greatly improved.

The invention provides a lamp, a reflector for the lamp and a light unit for the lamp. Luminosity over a set value can be achieved in a prescribed limit of the peripheral direction and the shaft direction. The reflector (12) is provided with a base part (126), a top (122) and a reflecting part (124). The reflecting part (124) is provided with a curved face body (120) and annular convex face parts (121). The curved face body (120) is arranged between the base part (126) and the top (122) and is formed by rotation curves by centering the top (122). The annular convex face parts (121) are arranged on the curved face body (120) in a way of a concentric circle by centering the top 122. Via the light diffusing function of the annular convex face parts (121), deviation of the luminosity can be restrained and luminosity over the set value can be achieved in the described limit of the peripheral direction and the shaft direction.

The invention provides an ionospheric storm monitoring algorithm based on code and carrier separation. First, an original code reduced carrier measured value is calculated; then, the normal measurement mean Mu0 is estimated, and the actual mean Mu1 is constructed; the standard deviation of the measured value after smoothing is calculated with statistical data; the original data is standardized; and finally, parameters are optimized, and the cumulative sum is calculated. Possible abnormalities in the ionosphere of a local area augmentation system (LAAS) can be detected, and alarm information can be given promptly.

The invention provides an I-type three-level inverter switching tube self-checking method applied to SVG. The I-type three-level inverter switching tube self-checking method comprises the following steps: S1, judging whether a direct-current bus is normal or not according to the ratio of an actual bus voltage sampling value to an input voltage peak value; S2, detecting whether the filter capacitor voltage of the I-type three-level inverter is normal or not; and S3, applying a PWM driving signal to a switching tube of the I-type three-level inverter, determining an inductive current threshold value according to the calculated theoretical value of the inductive current, and comparing the sampled actual value of the inductive current with the inductive current threshold value so as to judge whether the switching tube is normal or not. According to the I-type three-level grid-connected inverter switching tube detection method, the abnormal condition of the I-type three-level grid-connected inverter switching tube can be timely and comprehensively detected through direct-current bus voltage detection, filter capacitor voltage detection and sequential detection of the switching tube without an additional circuit or equipment, and the equipment cost is reduced on the premise that the inverter can be prevented from being further damaged.

The embodiment of the invention provides a livestock monitoring system. The livestock monitoring system includes: a peripheral camera device, which is arranged at the periphery of the livestock captive region, and is used for collecting peripheral images of the livestock captive region; entrance and exit camera equipment, which is set at the entrance and exit of the livestock captive region for collecting images of the entrance and exit of the livestock captive region; an on-site camera device which is arranged inside the livestock captive region for collecting internal images of the livestockcaptive region; and a central monitoring device, which is used for determining whether there is an abnormality in the livestock captive region according to the peripheral images of the livestock captive region, the images of the entrance and exit or the internal images. By adopting the technical scheme of the present invention, real-time and effective monitoring of the livestock captive region can be performed, so that abnormal phenomena in the livestock captive region can be detected in a timely manner and the safety of livestock assets can be improved.

The invention discloses an automobile charging pile monitoring system based on artificial intelligence. The system comprises an intelligent monitoring module, an information transmission module and aremote monitoring terminal. The intelligent monitoring module is used for collecting video images, infrared images and position information of the automobile charging pile. Transmitting the acquired image and position information to a remote monitoring terminal through an information transmission module, judging the safety of the automobile charging pile by the remote monitoring terminal accordingto the infrared image, and displaying the video image and the position information. The automobile charging pile safety monitoring system has the advantages that the image processing technology is applied to safety monitoring of the automobile charging pile, and remote and effective safety monitoring of the automobile charging pile is achieved.

The invention relates to an abnormity detection method for a Go AI chess manual file in an SGF format. The method comprises the steps that S1, importing text data of the SGF file; S2, processing the text data on the basis of a word bag model to obtain a series of word sets, and calculating the weight of each word on the basis of the obtained sets; S3, combining the weight sets of the words to obtain language model vectors of the text data; and S4, carrying out anomaly detection by utilizing an anomaly detection algorithm, and outputting a detection result. Compared with the prior art, the method has the advantages that the text is converted into the corresponding vector form based on the word bag model, so that the diagnosis can be carried out by means of some existing abnormal diagnosis algorithms, and the machine diagnosis of the chess manual file can be realized.

The invention discloses a host behavior data analysis method and device, equipment and a storage medium. In the scheme, the behavior data of a host is collected through a preset event monitoring module; the event monitoring module comprises a kernel monitoring acquisition module, an ETW event acquisition module and a user mode hook event acquisition module; and performing standardization processing on the behavior data to generate a host behavior event, sending the host behavior event to a data analysis system, and performing analysis processing on the host behavior event through the data analysis system to obtain a corresponding analysis result. According to the scheme, it can be seen that in order to effectively obtain the behavior data of the host, the behavior data of the host are jointly collected through the kernel monitoring collection module, the ETW event collection module and the user mode hook event collection module in the event monitoring module, and more comprehensive and more effective host behavior data can be obtained through the mode; therefore, the data analysis system can timely and accurately detect the abnormal condition of the host by using the behavior data.

The invention relates to an antenna state detection circuit for a ship automatic identification system terminal. The circuit is composed of operational amplifiers U1A and U1B, a coupling inductor L1, inductors L2 and L3, diodes D1 and D2, capacitors C1-C6 and resistors R1-R6. The antenna state detection circuit is mounted between a power amplifier and an antenna in the ship-mounted AIS terminal; the pin 1 of the operational amplifier U1A and the pin 7 of the operational amplifier U1B are connected to the analogue-to-digital conversion (ADC) IO port of a microprocessor in the ship-mounted AIS (Automatic Identification System) terminal. During signal transmission, the ADC is initiated and unusual states of the antenna and the power amplifier are determined according to the results of two paths of ADC (Analog to Digital Converter). If unusual states are found, alarm information is displayed on the liquid crystal display screen of the ship-mounted AIS terminal and a promoting voice is provided to remind the working personnel to take appropriate measures immediately; and therefore, heavy potential safety hazards caused by equipment failures due to the problem of the antenna or the power amplifier are eliminated.

The invention provides a system and method for detecting the instantaneity of an industrial control system. The system comprises a data measuring probe, a special-purpose communication network, a detection computer and an accurate time service system; and the system can measure measured value data sent by a transmitter in the industrial control system as well as time in which a performer receives data output by a controller, and calculate the delayed time to obtain the system instantaneity. According to the system and method of the invention, the quality of the industrial control system can be effectively estimated; and the system and method can be also used for detecting abnormities, thereby overcoming the disadvantage in estimating the instantaneity of the industrial control system only according to the data transmission rate.

The invention discloses a fault early warning sensor for a high-voltage cable connector, and the early warning sensor comprises a sensor and a hoop; the hoop is composed of two arc-shaped hoop sheets,and the two sides of the sensor are hinged with the two arc-shaped hoop sheets through hinges; the sensor comprises a shell, a communication interface, a circuit board and a probe, wherein the communication interface is arranged on the shell, the circuit board is fixed inside the shell, the communication interface and the probe are connected with the circuit board through wires, the probe is fixed below the shell, and the probe is in contact with the surface of a cable joint. The high-voltage cable joint fault early warning sensor adopting the structure is simple in structure and easy to install, and can monitor abnormal signals of a cable joint in real time and send out early warning in time.

The invention discloses an optical fiber MEMS sensor used for a cable joint, which includes a sensing component and a fastening component, the fastening component includes a ring-shaped fastening strip, an installation hole is arranged in the middle of the ring-shaped fastening strip, and the sensor The assembly is installed in the installation hole; the locking assembly includes a locking piece, the locking piece is provided with a through hole, and the two ends of the annular fastening strip pass through the through hole; The fixing of the sensor can ensure that the probe of the sensor sticks to the surface of the cable joint.

The invention provides a power conversion device and an abnormality detection method. A power conversion device (100) is provided with: a first-type index calculation unit that calculates a first-type index for diagnosing the presence or absence of an abnormality in a DC voltage detector on the basis of an index using a detection value of the DC voltage detector; a second-type index calculation unit that calculates a second-type index that is represented as an index change when a detection abnormality in which a detection value changes in a predetermined direction occurs in either the first DC voltage detector (25) or the second DC voltage detector (26); an integrated diagnostic index calculation unit that calculates an integrated diagnostic index on the basis of the second type of index; and an abnormality determination unit (72) that performs, with respect to the DC voltage detectors, an operation of switching the detection value of the DC voltage detector assumed to be abnormal to an output estimated value estimated from the detection values of the other DC voltage detectors. On the basis of a change in the comprehensive diagnosis index, it is determined which of the first DC voltage detector and the second DC voltage detector has occurred an abnormality.

The invention relates to a performance evaluation device for an excitation regulator and a PSS (power system stabilizer) of the excitation regulator. The device has the following functions: acquired operating data of a generator and operating data of an excitation system are calculated and analyzed, according to control definite value parameters of a PID (proportion integration differentiation) control model of the excitation regulator and a PSS control model of the excitation regulator, PID and PSS evaluation models corresponding to the actual excitation system are established, and finally, the online monitoring and real-time performance evaluation are performed on the PID and PSS models of the excitation regulator. Under the condition that safe and stable operation of a generator set and a grid is not interfered, the device evaluates the performance of the PID and PSS models of the excitation regulator and solves the problem that the PID and PSS models are very difficult to predict and detect.

An artificial intelligence-based vehicle charging pile monitoring system, comprising an intelligent monitoring module, an information transmission module and a remote monitoring terminal, the intelligent monitoring module is used to collect video images, infrared images and position information of the vehicle charging piles, and the collected images The information and location information are transmitted to the remote monitoring terminal through the information transmission module, and the remote monitoring terminal judges the safety of the car charging pile according to the infrared image, and displays the video image and the location information. The beneficial effects of the invention are as follows: the image processing technology is applied to the safety monitoring of the vehicle charging pile, and the remote and effective safety monitoring of the vehicle charging pile is realized.

An exhaust gas evacuation device for an internal combustion engine is provided with: a burner device (40) which is provided with a fuel addition device (15) for adding fuel to the exhaust gas evacuation path (12) of the internal combustion engine (1) and which combusts the added fuel; and a controller (50) which detects an abnormality of the burner device (40) on the basis of a variation in the temperature at a temperature detection point within the exhaust gas evacuation path (12) after the amount of addition of the fuel is changed, the temperature detection point being located on the downstream side of the fuel addition device (15).

The invention discloses an electronic ballast of a low-frequency nonpolar lamp. The electronic ballast comprises an electromagnetic compatibility (EMC) anti-jamming circuit, a power factor correction (PFC) power factor correcting circuit and a micro control unit (MCU) control circuit. The EMC anti-jamming circuit is connected between an external power supply and the PFC power factor correcting circuit and is used for processing an electromagnetic interference signal. The PFC power factor correcting circuit is connected with the MCU control circuit and is used for acquiring a direct-current signal with a high power factor and then the MCU control circuit generates an alternating-current signal to lighten the nonpolar lamp. The MCU control circuit comprises an abnormal protection circuit and is used for protecting the ballast from being damaged in case of high current in the circuit.

A flame detector is provided. A circuit board is disposed in a housing. A first light source emits first light. A light guide member comprised of translucent material guides the first light from the first light source to a light emission portion of the light guide member. A first light receiving element detects second light having a predetermined wavelength unique to the flames. A second light source emits third light to a translucent cover which is disposed between an opening of the housing and the first light receiving element. A second light receiving element detects the third light passedthrough the translucent cover to test the translucency. The first light source, the second light source and the second light receiving element are mounted on the circuit board. The light emission portion is formed into a substantially annular shape which encloses the first light receiving element at a front side of the housing to limit a field of view of the first light receiving element to a predetermined range. And the light guide member has a light entrance portion and a light exit portion for the third light to form a light path from the second light source to the second light receiving element through the translucent cover and the light guide member.

The invention relates to a laser scanning sensor test system and test method. The method comprises the following steps: step 1, carrying out electrification on a laser scanning sensor test system; step 2, determining whether a CPU board is connected to a power supply; if not, indicating that a power supply board is a defective product, ending the test; and if so, performing step 3; and step 3, acquiring alarm frequency information and acquiring the product condition of the circuit board of the system according to the alarm frequency information. According to the invention, with the laser scanning sensor test system and test method, the abnormal condition of the circuit board of the laser scanner can be accurately detected through the obtained alarm times, so that the production speed is greatly increased. The laser scanning sensor test system and test method can be applied to the field of laser scanning sensors.