32results about How to "Realize the diagnosis function" patented technology

The invention discloses a real-time fault diagnosis and early warning device and a real-time fault diagnosis and early warning method for a wire rope of a coal mine hoist, and belongs to a device and a method for fault diagnosis of the wire rope of the hoist based on on-line monitoring data. A core processing module of the device is simultaneously connected with a data storage module, a program storage module, a liquid crystal and touch screen control module, a data acquisition module, an Ethernet module and an alarm module; and a power module is connected with all the modules to provide power for all the modules. The method comprises the following steps of: calculating loss percentage of the sectional area of the wire rope; transmitting real-time data of the section area of the wire rope into the core processor module through an Ethernet interface; comparing with an initial value of the section area of the wire rope; and outputting in the form of loss percentage of the sectional area of the wire rope. The device and the method have the advantages that safety parameters are set aiming at application places of the wire rope; the application is flexible; the working state of the wire rope can be judged according to the on-line monitoring data; the real-time fault diagnosis and early warning function of the wire rope can be realized; and alarm information is given.

The invention discloses an automatic measurement and error correcting system for a heading machine. The system is composed of a PLC control system, a tilt angle sensor, an electronic compass, a laser pointing instrument, a displacement sensor, a human-computer interaction module and a driving mechanism. All modules are connected by a communication cable and a control cable. On the basis of positioning of a three-dimensional position coordinate of a heading machine and calculation and analyses by the PLC control system, automatic measurement and error correcting control can be completed by the heading machine, thereby substantially improving the efficiency, precision, and security of the heading work.

The invention relates to the field of respiratory protection articles and respiratory monitoring, discloses a high-synchronization oxygen supply respiratory device, a respiratory monitoring system andmethod, and solves the problems of low comfort and single function of a traditional mask. The breathing device comprises a mask body, a power module arranged on the mask body, a control panel, a draught fan, an alarm module and a throttling device, wherein the control panel, the draught fan, the alarm module and the throttling device are electrically connected with the power module. A microcontroller, a data storage module, a data communication module and a draught fan driving module are arranged on the control panel; the throttling device comprises a throttling element, a pressure sensor anda differential pressure sensor, wherein the pressure sensor and the differential pressure sensor are arranged on the throttling element. The signal input end of the draught fan driving module is connected with the microcontroller, and the signal output end of the draught fan driving module is connected with the draught fan; signal output ends of the pressure sensor and the differential pressure sensor are connected with the microcontroller; and the microcontroller is also connected with the data storage module, the data communication module and the alarm module. The breathing device is suitable for various people.

The invention provides a functional safety type HART measuring system. The system comprises a signal input sampling circuit used for acquiring temperature signals and a signal output circuit connected with an output terminal of the signal input sampling circuit, wherein the signal input sampling circuit comprises a first diagnosis circuit, the first diagnosis circuit comprises a first A/D sampler, a second A/D sampler, and a signal comparator, the first A/D sampler is used for sampling the temperature signals acquired by the signal input sampling circuit and sending first sampling signals to the signal comparator, the second A/D sampler is also used for sampling the temperature signals and generating second sampling signals, and the signal comparator is used for comparing the first sampling signals and the second sampling signals and outputting fault signals when the comparison result is beyond a preset deviation so that the signal output circuit outputs current smaller than a fault theoretical value when receiving the fault signals, the diagnosis function of the HART measuring system is realized, and the equipment security is greatly improved.

The invention provides an intelligent operation and maintenance system for a platform door. The intelligent operation and maintenance system comprises a main control cabinet PSC, a door control unit DCU, a logic control unit PEDC, an industrial personal computer, a comprehensive monitoring system and a power supply cabinet. The door control unit DCU and the main control cabinet PSC are each provided with a state monitoring module. The logic control unit PEDC, the door control unit DCU, the main control cabinet PSC and the power supply cabinet are in communication connection with a server through an intelligent operation and maintenance host. The intelligent operation and maintenance host reads platform door system operation data output by the logic control unit PEDC, reads industrial personal computer hardware operation data, reads power supply cabinet operation data, reads monitoring module operation data, uploads the data to the server for data analysis, carries out early warning prompt on parts with the part performances reaching a threshold according to an analysis result, and judges a fault part of the platform door system. The system realizes control and inspection separationof the platform door system, and reduces the overhaul workload and the maintenance cost.

The invention provides an automobile diagnosis data processing method and system. The system comprises a diagnosis protocol analysis module, a data packet processing module, a diagnosis data verification module, and a e diagnosis data access module. The diagnosis protocol analysis module is used for receiving a diagnosis request and carrying out the analysis of the diagnosis request to obtain a corresponding analysis result which at least comprises a diagnosis data request command corresponding to the diagnosis request; the data packet processing module is used for generating a data packet ina set format according to the analysis result, wherein the data packet in the set format comprises diagnosis data corresponding to the diagnosis data request command; the diagnosis data verification module is used for unpacking the data packet in the set format to obtain the diagnosis data request command and diagnosis data, and performing validity verification on the diagnosis data; and the diagnosis data access module is used for storing the diagnosis data request command and the successfully verified diagnosis data. According to the processing system, the SOC system is enabled to support the diagnosis service listed in ISO 14229-1: 2006 so that the diagnosis functions of the MCU and the SOC are enabled to be uniformly realized through the CAN network.

The invention provides a mechanical vibration state signal acquisition and analysis system, which comprises an analog conditioning circuit module, an analog-to-digital conversion module, an FPGA function module and a processor function module which are connected in sequence. An input port of the analog conditioning circuit module is connected with an output port of a vibration sensor. The system further comprises a power management module which is used for providing a constant voltage source and/or a constant current source for an eddy current sensor, a piezoelectric acceleration sensor and the power utilization modules. According to the invention, synchronous acquisition of sixteen channels of vibration state signals is realized, primary processing and analysis of data are completed, vibration state signal features are extracted for diagnosis and alarm, and data and feature parameters are uploaded in real time. The system supports the access of an eddy current displacement sensor, a magnetoelectric speed sensor and a piezoelectric acceleration sensor, can collect a vibration displacement signal, a vibration speed signal and a vibration acceleration signal at the same time, and is used for state real-time monitoring, fault diagnosis and life prediction of a rotating mechanical structure.

The invention discloses an insulator evaluation and classification method and device based on infrared images. The method comprises the steps of acquiring an insulator infrared spectrum sample library; cutting the obtained images of the insulator infrared spectrum sample library to obtain a normal insulator library as a positive sample and a deteriorated insulator library as a negative sample; graying the images in the positive sample and the negative sample; processing the image after graying processing by using a principal component analysis method; and training the image processed by the principal component analysis method and the characteristics of the insulator state by adopting a Bayesian algorithm to obtain a corresponding relationship between characteristic parameters and the insulator state and model prediction parameters, thereby realizing classification and identification of the insulator. According to the technical scheme of the invention, the method can adapt to a complexfield environment, achieves the automatic recognition and diagnosis of the insulator in the infrared image, effectively reduces the false detection, and improves the efficiency and accuracy.

The invention relates to an offline data processing software toolbox design method based on OriginC programming, which relates to the technical field of software design. The invention adopts OriginC language to carry out user interface programming, and designs several customized independent data processing toolkits, Users can select the designated tool box tool to process data according to actualneeds, which greatly improves the repetition of offline, the frequency efficiency of processing a large number of data, forms the results of automatic data analysis report, and can carry out validitydiscrimination and alarm mechanism according to user customization requirements, to achieve the expert diagnosis function.

The invention relates to a vibration monitoring system and method based on a WIA-PA and 4G double wireless technology, and the system comprises an upper computer and a server of an upper control layer, a program is stored in the upper computer, the steps of the method are executed when the program is loaded, fault grade evaluation and early warning are carried out on collected vibration monitoring data, and the vibration monitoring data are stored in the server. And judging whether to switch a WIA-PA or 4G network mode to carry out vibration monitoring or not. The gateway of the data communication layer is used for connecting the physical acquisition layer and the upper control layer and uploading vibration monitoring data to a server and an upper computer; and vibration monitoring equipment of the physical acquisition layer is used for acquiring vibration monitoring data. The method is suitable for fault diagnosis of rotary mechanical equipment, WIA-PA and 4G can make up each other technically, and the method is simpler and easier to use in application.

The invention discloses a high-speed train running gear system fault diagnosis method based on semi-quantitative information fusion, and belongs to the field of fault diagnosis. The method solves the problem that the influence of the reliability of the existing knowledge on the fault diagnosis process based on the belief rule base is not analyzed in the current research. According to the method, a large amount of knowledge and monitoring data accumulated in actual operation of the high-speed train are used for modeling, an accurate analytical model of the running gear is not needed, a large amount of monitoring data of the running gear under the abnormal working condition is not needed, the diagnosis function can be well achieved under the small sample condition, and actual application is facilitated; and the difficulty of the belief rule base theory in the fault diagnosis of the running gear is also considered, that is, the fault diagnosis is difficult under the unreliable expression of knowledge. The knowledge reasoning of the confidence rule base is corrected by quantifying the unreliable part of the knowledge, so that the fault diagnosis effect is improved; and meanwhile, fault diagnosis and fault classification of the axial bearing of the running gear system are realized. The method can be applied to fault diagnosis of the running gear system.

The invention relates to a radiofrequency signal detection device for a Beidou RDSS user receiver and a detection method thereof. The radiofrequency signal detection device for the Beidou RDSS user receiver and the detection method thereof include a user receiver to be detected, a horn antenna and a host, wherein the user receiver to be detected is connected with the horn antenna in a radiofrequency mode, the horn antenna is connected with the host through a radiofrequency cable, and the user receiver to be detected is connected with the host through a serial port line. The host includes a receiving channel, an ADC module, a FPGA, an interface circuit and a power module, wherein an input end and an output end of the receiving channel is respectively connected with an output end of the horn antenna and an input end of the ADC module, an input end and an output end of the FPGA is respectively connected with an output end of the ADC module and an output end of the interface circuit, and the power circuit is respectively connected with the horn antenna, the receiving channel, the ADC module, the FPGA and the interface circuit. The radiofrequency signal detection device of the Beidou RDSS user receiver and the detection method thereof have the advantages that a radiofrequency signal parameter detection and a data modulation are operated, the detection cost is greatly reduced, and the detection efficiency is greatly improved.

The invention discloses a DC concentrated-distributed power distribution system for municipal roads. The system comprises an AC isolation transformer, the output end of a secondary coil of the AC isolation transformer is connected with an AC 0..4kV bus via a first intelligent protection switch, the wire output end of the AC 0..4kV bus is connected with a common DC bus via a second intelligent protection switch, a three-phase four-quadrant PWM controllable rectifier and a third intelligent protection switch, the output end of the common DC bus is connected with a close-range power supply loop and a long-distance power supply loop, the close-range power supply loop is composed of an isolated DC-DC converter and parallel LED street lamp terminals, and the long-distance power supply loop is composed of a DC voltage regulation power distribution cabinet and LED street lamp terminals arranged in the wire output end of the DC voltage regulation power distribution cabinet in parallel. The system has the advantage that traditional illumination power distribution stations for municipal roads can be reduced greatly, one power distribution station (a power supply area unit) of the system can over 9 traditional illumination power distribution stations, and the economic returns are high.

The invention discloses an aquaculture ultrasonic water level detection method and device with a fault self-diagnosis function in the field of aquaculture and detection. The method comprises the steps: enabling an ultrasonic probe to transmit a distance measurement sound wave, calculating a water level depth h, enabling a steering engine to rotate clockwise by a fixed angle 90 degrees, enabling ametal detection plate to rotate to the position below the ultrasonic probe, and shielding a measurement path of the ultrasonic probe; enabling the ultrasonic probe to send a measurement signal, measuring a measurement distance d from the ultrasonic probe to the metal detection plate, comparing the measurement distance d with an actual vertical distance L between the ultrasonic probe and the metaldetection plate, judging whether a difference value is in a set error range or not, and if the difference value exceeds the error range, determining that distance measurement fails; and if the error range is not exceeded, determining that the water level depth h is accurate water level data. According to the invention, the fault self-diagnosis function of ultrasonic water level detection is realized, the accuracy of each time of distance measurement is ensured, and a phenomenon that a large number of aquatic products die due to a fact that a liquid level detection value is not changed becauseof crash of the detection device is avoided.

The invention relates to a drive axle gear bearing fault monitoring method based on ARMED and sideband energy. The method comprises the steps that: a vibration signal of a drive axle is collected; ARMED filtering and local sideband energy enveloping are carried out on vibration signal data, and then a kurtosis index and sideband energy RMS are extracted; and according to the kurtosis index and the sideband energy RMS, whether a gear and a bearing have faults or not is judged. The ARMED filtering in the invention overcomes the end distortion problem of MED filtering, and removes deterministic components through AR filtering, thereby reducing the interference of gear processing errors and a rack gearbox on fault determination; based on gear sideband energy analysis, the fault state of the bearing can be indirectly reflected, the practical problems that the fault of the bearing is weak and difficult to extract are effectively avoided, and thus coupling fault analysis of the gear bearing is simply and efficiently achieved; and besides, when the fault monitoring method is applied to the fatigue test of a drive axle gear bearing rack, unattended operation of the fatigue test can be realized, and the labor cost is further reduced.

The invention provides a closed main shaft eccentric movement monitoring device. The closed main shaft eccentric movement monitoring device comprises a sensor assembly, a reflector assembly and a data acquisition instrument, the sensor assembly comprises a horizontal laser sensor and a vertical laser sensor, the reflector assembly comprises a horizontal reflector and a vertical reflector, and the workbench and the closed main shaft are coaxially and fixedly connected. The invention further provides a closed spindle eccentric movement monitoring method, and according to the method, whether the closed spindle coaxially and fixedly connected with the workbench is eccentric and moves or not is judged by obtaining the horizontal displacement data reflecting whether the workbench is eccentric or not and the vertical displacement data reflecting whether the workbench is moved or not. The system has the advantages that the running state of the closed main shaft is obtained through data acquisition and real-time monitoring, real-time monitoring, fault diagnosis and intelligent early warning of the running state of equipment are achieved, and meanwhile the influence on the monitoring precision of the laser sensor due to the fact that the precision of the outer ring of the workbench and the upper surface of the workbench is not high can be avoided.