564results about How to "Implementation status" patented technology

The invention discloses a fault diagnosis prediction system of a large-span railroad bridge based on PHM. The system comprises a visualization management module, an archival data module, an online monitoring module, an artificial polling module, a diagnosis prediction module, a maintenance module, a data interaction module and a PHM database. The invention further provides a fault diagnosis prediction method of the large-span railroad bridge based on the PHM. The fault diagnosis prediction system has the advantages that 3S network architecture, a BIM and a GIS technology are adopted to associate and archive design, construction, operation and maintenance information, by comprehensively monitoring trains, tracks, bridges, and bridge environments and processing big data of artificial pollinginformation, the diagnosis and prediction of bridge diseases and evaluation of health states of the bridge are achieved, and a decision-making basis is provided for the maintenance of the bridges.

The invention relates to an automatic testing system and an automatic testing method of a continuous wave radio frequency power amplifier. The method comprises contents 1 that a computer is used for via a communication bus comprehensively managing devices such as an instrument power supply, a signal source, a power meter, a spectrum analyzer, a network analyzer, a radio frequency management and interface control unit, and a power amplifier, and automatically measuring power characteristic, saturation power, gain characteristic, output stationary waves, flatness characteristic, harmonic suppression, spurious suppression, cross modulation characteristic, group delay, and AM / PM characteristics of the radio frequency power amplifier, 2 that calibration of a radio frequency input access and a radio frequency output access is achieved; 3 that the radio frequency management and interface control unit provides all radio frequency accesses, cables are not required to be detached and radio frequency ports are not required to be replaced when indexes are tested, and TTL level, 422 level, relay driving, a serial port, and a LAN bus remote control interface are provided for different power amplifying single machines, and power amplifying transmission and reception, wave band remote control, and state monitoring are achieved; 4 and that system software modular design is achieved.

The invention relates to a satellite universal automatic testing platform and a data interaction method thereof, aims to solve the technical problem that existing satellite test equipment has poor universality and a low automation degree, and belongs to the technical field of satellite testing. The satellite universal automatic testing platform provided by the invention consists of a peripheral equipment layer, an intermediate service layer and a user terminal layer, wherein the peripheral equipment layer comprises measurement and control system automatic testing equipment, control system automatic testing equipment, CAN (Controller Area Network) monitoring equipment, plug-failure signal monitoring equipment and solar cell array simulating equipment, and is used for making a response to aremote control command of a comprehensive testing server, uploading the remote control command to a satellite, finishing signal collection of the satellite data simultaneously, transmitting a collected signal to the comprehensive testing server to perform signal processing and data storage. According to the testing platform and a data interaction way thereof, the rapid testing demand at each stageof the satellite is met; a system of satellite distribution test control and comprehensive integration management is formed, and universal and automatic satellite testing is realized. The satellite universal automatic testing platform has the advantages of high universality and high automation degree.

The present invention discloses remote real-time safety monitoring system for hoisting apparatus and its control method. The present invention has a remote transmission device for data transmission with the upper monitoring server, and a sensing signal acquirer for real-time acquisition of the parameter information of the hoisting apparatus. The control method is to adopt several parallel remote control threads for data processing, and includes the first setting the received data into idle data processing queue with the data monitoring and processing thread and the subsequent processing the data in the queue with the data statistics and saving thread. The monitoring system of the present invention can realize critical state alarm and emergency state control as well as understand the running state of the hoisting apparatus remotely.

The invention provides a cable channel edge Internet of Things terminal and method based on ubiquitous power Internet of Things. An edge Internet of Things terminal relates to the technical field of electric power Internet of Things, and controls the combined action of each cable channel device according to the received data of a plurality of cable channel sensors and the AI image recognition result based on the cable channel video data, and transmits the collected data and the combined action signal to an Internet of Things management platform in real time. According to the invention, linkagecontrol, defect early warning and AI image recognition are combined, real-time evaluation of a cable channel environment and an equipment state, quick and intelligent fault processing and accurate and active repair are realized, professional lean operation and maintenance capability of the cable is effectively improved, and safe and stable operation of the cable is guaranteed.

The invention discloses an intelligent power grid high voltage insulation damage monitoring system and method based on ultraviolet imagery. Image acquisition is conducted on a high voltage insulation device through an acquisition module via an ultraviolet imager, and an RGB color image of corona discharge and arc discharge on the surface of the device is obtained; the RGB color image is converted into a grayscale image through a pre-processing module; a threshold segmentation method is adopted by a threshold segmentation sub-module, a threshold is set to convert the grayscale image into a binary image, and a discharging area in the image is divided; mathematical morphology filtering processing is conducted on the binary image through a morphological filter sub-module, and scatters are removed; an edge detecting sub-module conducts edge detection on the filtered image, edge pixel point position information is stored, colors of edge pixel points in the original image are changed, and a dividing effect image is obtained. The intelligent power grid high voltage insulation damage monitoring method based on ultraviolet imagery has the advantages of being efficient, simple, visual, imagery, safe and convenient, and not influencing normal operation of the device. With combination of the image division technology, the discharging area is divided, and accurate detection of high voltage insulation damage is achieved.

The invention discloses an integrated intelligent unit of an intelligent substation. The device includes the following eight modules: SMV sampling processing module, GOOSE processing module, station control layer module, state monitoring processing module, main function module, man-machine interface module and power supply module, Open the module. Through the above modules, the present invention integrates the protection, fault recording, measurement and control, measurement, merging unit, intelligent operation box, and state monitoring functions in the intelligent substation, effectively guarantees the safe operation of the primary equipment and the safe operation of the power grid, and reduces the cost of the equipment. Maintenance costs, which are of great significance to the operation of the power grid and the lean management of equipment.

The invention discloses a stability evaluation method based on correlation between power grid operation and a transient stability margin index. The method comprises the following steps of establishing a power grid safety stability hierarchical correlation analysis model based on offline simulation data and real-time monitoring data of the power grid, and performing transient stability hierarchical correlation characteristic extraction according to the model; performing discrete semantic description of the power grid operation characteristic and the transient stability margin index, and performing correlation relation identification between the power grid operation characteristic and the transient stability margin index; and establishing a stability correlation characteristic rule database, and performing quick stability determination and reason analysis on power grid operation state change according to the rule database. The stability evaluation method has advantages of quickly evaluating the current stability level according to a system operation state, supplying quantitative information support for auxiliary decision of operation personnel, improving standardization, speed and self-adapting capability in power grid stability evaluation, and realizing wide application prospect.

The invention relates to an acid pickling-rolling mill integral unit, in particular to an on-line detection method of the acid pickling-rolling mill integral unit. The method comprises the following steps: performing welding seam tracking, monitoring and warning, outputting the related signals, performing loop monitoring and warning, outputting the related signals, performing straightening and withdrawal machine monitoring and warning, outputting the related signals, performing rolling mill monitoring and warning, and outputting the related signals to realize strip break positioning. The invention establishes a method for collecting the strip break monitoring signals of the acid pickling-rolling mill integral so as to perform effective monitoring aiming at the reason of strip break and realize the strip break online monitoring, warning and positioning of the acid pickling-rolling mill integral unit.

The invention discloses a network intelligent parking spot lock and a control method thereof. The parking spot lock comprises a parking spot lock body, a communication module, a controller, a motor and a power module. The parking spot lock body comprises a base, a linkage device and a top plate. The linkage device is arranged between the base and the top plate. A whole device is simple in structure and convenient to operate. According to the control method, a user sends out parking spot lock requirements on a mobile terminal, a parking spot lock digital identification code CWM coding module s1 is in charge of monitoring and receiving instructions conforming to the parking spot lock on the internet of things, the user sends out parking spot lock starting or shutdown instructions on the mobile terminal, the motor is controlled through a parking spot control management unit and a parking spot lock switch control unit, and a technology of the mobile terminal in remote intelligent control and starting locking on a parking spot during an authorized time period is achieved. A special parking lot server does not need designing, and the network intelligent parking spot lock is a parking spot control device which is extremely high in network safety intelligence and can be installed and used at the random position of a city.

A rolling bearing fault on-line detection and state assessment method is disclosed. The method comprises the following steps: twelve dimensional dimensionless parameters are extracted; the twelve dimensional dimensionless parameters comprise six dimensional time domain statistical parameters, three dimensional frequency domain statistical parameters and three dimensional dimensionless parameters in a small wave envelope spectrum; standardized reconstruction characteristic vectors can be obtained; whether a rolling bearing malfunctions is determined, and a state of the rolling bearing is assessed. Via the rolling bearing fault on-line detection and state assessment method, the twelve dimensional dimensionless parameters which can be used for effectively representing the state of the rolling bearing can be automatically extracted, the twelve dimensional dimensionless parameters are subjected to decorrelation and standardization operation, standardized reconstruction characteristic vectors that are distributed to form a hypersphere with an original point being a sphere center, and fault detection and state assessment of the rolling bearing can be realized via 2-norms of the standardized reconstruction characteristic vectors; difficult problems of long on line training time, low efficiency, and hard-to-obtain fault samples and the like of a rolling bearing state assessing model can be solved.

The invention relates to a health management method and system. The method comprises the following steps: acquiring current health parameter information of at least one user; matching a corresponding health estimation model in a preset health estimation model database according to the type and the number of health parameters in the current health parameter information of each user; inputting the current health parameter information of each user into the health estimation model to obtain a current user health estimation result. The health management method can scientifically manage the health condition of the user.

The invention discloses a network cluster-control-based numerical control machine tool error real-time compensation system and a network cluster-control-based numerical control machine tool error real-time compensation method. The compensation system comprises a hardware part and a software part built in hardware, wherein the hardware part comprises a master control center personal computer (PC), a router, a built-in Ethernet port or a personal computer memory card international association (PCMCIA) Ethernet card, a temperature sensor and a temperature data acquisition card; and the software part comprises a temperature acquisition module, an error modeling and calculating module, a cluster-control compensation module and a machine tool state network monitoring module. By the compensation system and the compensation method, error real-time compensation and working state information monitoring can be performed on a plurality of numerical control machine tools on a production line at the same time; the movement precision of the numerical control machine tools is improved in batches; and therefore, the compensation efficiency and the final machining precision are greatly improved.

The invention provides a CPLD-based hard disk monitoring system. The system comprises a hard disk back plate with at least one hard disk and a hard disk controller electrically connected with the harddisk back plate, the hard disk back plate comprises a hard disk status indicating module based on an LED lamp and a CPLD chip electrically connected with the hard disk status indicating module, wherein the CPLD chip is used for receiving and analyzing an SGPIO signal sent by the hard disk controller so as to obtain the current status of at least one hard disk, and a first LED control instructionis sent to the hard disk status indicating module based on the LED lamp according to the analyzed hard disk status; the hard disk status indicating module based on the LED lamp is used for operating the LED lamp according to the first LED control instruction to indicate the corresponding hard disk status. The hard disk status on the hard disk back plate can be monitored in real time and represented.

The invention discloses an intelligent 360-degree multi-dimensional mechanical arm of an automobile equipment line, and relates to a mechanical arm. A large side plate is provided with a pressure energy accumulator, one end of a composite lifting arm I and one end of a composite lifting arm II are respectively connected with the pressure energy accumulator, the other end of the composite lifting arm I and the other end of the composite lifting arm II are connected with a connecting plate I, one end of a lifting air cylinder is connected with the large side plate, the other end of the lifting air cylinder is connected with the composite lifting arm II, one end of a front-and-back swinging air cylinder is connected with the pressure energy accumulator, and the other end of the front-and-back swinging air cylinder is connected with a composite swing arm I. Due to the adoption of a pneumatic clamp device capable of being rotated by 360 degrees under servo control, material grabbing and rotating are achieved, clamping time is saved, and labor intensity of workers is reduced in the assembling process. Meanwhile, a sensor network and an advanced ARM microcontroller are adopted in the mechanical arm to achieve intelligent detection and digital fuzzy control, state sensing and intelligent feedback control of the assisting mechanical arm are achieved in the working process, and safety and the automation level of products are improved.

The invention discloses a cloud-edge cooperative amusement equipment fault prediction and health management system and method. The system comprises a distributed data acquisition system, edge computing equipment, a cloud computing platform and a management and control center. The data acquisition system distributed on the amusement equipment can acquire various heterogeneous state data including operation parameters, mechanical system parameters, hydraulic and pneumatic system parameters, electrical system parameters and the like in real time; and the edge computing equipment comprises an edgedata management functional module, a prediction service orchestrator functional module, an edge model training functional module, a fault early warning functional module and a communication service functional module, so the data caching capacity, the equipment health diagnosis capacity and the early warning capacity of an edge platform are achieved. The cloud computing platform comprises a data warehouse module, a model training module, a health management module and a communication service module, and achieves the data storage and model training capability of the cloud. The management and control center provides man-machine interaction, and is used for monitoring operation parameters and health conditions of the amusement equipment and receiving a fault prediction message.

The invention provides a transformer protection method and a protection device with exciting inrush current restrain and switch parameter detection and relates to the technical field of transformer protection in the power transformation and distribution process. The protection method comprises the following steps of: firstly, detecting the state change of a circuit breaker on a real-time basis; secondly, dynamically evaluating the state of the circuit breaker; thirdly, collecting the position of an auxiliary contact of the circuit breaker and the voltage of a power grid and calculating the change on the voltage phase position of the power grid in real time; fourthly, obtaining a method for restraining the exciting inrush current and obtaining an expected closing phase position; fifthly, calculating the effect of the closing delay time to obtain a phase position Qon_c and sending out a closing command after the expected closing phase position is obtained; and sixthly, enabling a master control system to send out a closing command after a voltage phase position of a power supply reaches the Qon_c. The device comprises a CPU (Central Processing Unit) main board, a sampling board, a power supply, a switch input board, a logical board, a display board and the like, wherein the CPU, the sampling board and the power supply are inserted on a backboard. Through the transformer protection method and the protection device, the no-load closing exciting inrush current of the transformer can be reduced to below 30 percent of rated current, so that the bad effect of the exciting inrush current on the power grid and the transform is completely eliminated.

The invention discloses a method and device for online monitoring and fault identification of a mechanical state of a high-voltage circuit breaker, and relates to the technical field of electrical equipment testing. The method for online monitoring and fault identification of a mechanical state of a high-voltage circuit breaker uses four different sensors to synchronously monitor various parameters of an operating mechanism of the high-voltage circuit breaker during operation, and performs time-domain and frequency-domain analysis on the information obtained by the sensors in different mannersto form a feature hybrid discriminant matrix, thereby realizing on-line monitoring and fault identification of the state of the high-voltage circuit breaker, solving the problem that it is difficultto accurately determine the failure of the high-voltage circuit breaker during the operator's regular inspection only due to perceptual knowledge and experience, improving the inspection efficiency, and saving resources such as manpower and materials.

The invention discloses an operation safety assessment method for rail transit systems in the traffic technique and safety technique field. The method includes confirming safety correlated variables of an assessment object; obtaining data of the safety correlated variables; preprocessing the data of the safety correlated variables; determining security domain boundaries of the assessment object; and conducting safety assessment on system operation. According to the assessment method, quantitative safety state assessment and trend prediction of the rail transit systems and local subsystems or key equipment of the systems are achieved, and the assessment method has great theoretical and practical significances for achieving high level security of the rail transit systems.

The invention discloses an SCADA-based operation state assessment and fault diagnosis method of a wind turbine generator. The method comprises: on the basis of sample data extracted by an SCADA system, a correlation relationship between operation data of a wind turbine generator and operating characteristics of main parts is studied; a wind turbine generator operation state prediction method basedon a clustering algorithm, a cluster analysis and a machine learning method is studied; and a fault diagnosis method of the wind turbine generator is studied and on the basis of a decision tree modeland an association rule theory, a fault diagnosis rule is studied by combining statistical characteristics of the long-term stable operation state of the wind turbine generator. Therefore, the operation state evaluation and fault diagnosis of the wind turbine generator are realized.

Provided is a permanent magnet electromagnetic composite disc type eddy current braking device. The device comprises two magnet discs, a metal disc, and a transmission shaft, the two magnet discs are fixed on static equipment in parallel, the metal disc is fixed on the transmission shaft and arranged between the two magnet discs in parallel, the metal disc and the two magnet discs are also coaxially installed, the transmission shaft is supported on the two magnet discs via bearings, each magnet disc is provided with m composite magnetic poles formed by permanent magnets and electromagnets along the circumference (m is an even number), the m composite magnetic poles on the two magnet discs are opposite in pairs in the axis direction, and the magnetic field at the position of the metal disc between the two magnet discs is changed via the adjustment of the current and direction of electromagnet coils. When the metal disc and the magnet discs generate relative movement, eddy current is generated in the metal disc, interaction is generated, and rapid braking between the metal disc and the transmission shaft and moving bodies connected with the metal disc is realized. The braking device is applicable to rapid braking of high-speed moving bodies.

The invention relates to a conversation system integrating FAQ, tasks and active guidance. The system comprises a dialogue management module 101 and a dialogue management module 102, the dialogue management module is used for packaging the upper layers of the FAQ dialogue engine, the task type dialogue engine and the active guide type dialogue engine; and a FAQ dialogue engine 102, comprising an FAQ question and answer library 105 and a question and answer processing module, and an active guide type dialogue engine 103 comprising an active guide dialogue library 106, a dialogue guide module, atask type dialogue engine 104, a task skill library 107 and a semantic understanding module. According to the system, the FAQ question and answer library, the task skill library and the active guidance dialogue library can be flexibly selected and configured as required, to provide a uniform dialogue and control interface for the outside, internally package the difference of various types of dialogue engines, realizing dialogue state management and response strategy selection of the multi-dialogue engine, effectively processing topic scene switching in multiple rounds of dialogues, and selecting an appropriate dialogue engine to obtain a context-based reply in combination with the dialogue state.

A terminal for monitoring road lamp of city consists of GSM data transmitting - receiving module or GPRS data transmitting - receiving module , transceiver , MCU controller , AC contactor open - close driving circuit , AC contactor open- close state detection circuit and sunlight illumination detection circuit . The terminal set far from road lamp management centre can realize two-way remote data transmission with said centre for achieving remote control and data refreshment of road lamp.

The invention provides a voltage detection method between non-contact poles for electrostatic induction micro electro discharge machining and a circuit design thereof. By using the electrostatic induction principle, a metal ring is sleeved on a rotating main shaft (or a tool electrode) and is arranged opposite to the tool electrode in a non-contact mode. The metal ring is used as a non-contact voltage measurement probe. A capacitor formed between the probe and the tool electrode is serially connected with a matching capacitor connected in a detection loop; the two capacitors in serial connection are connected in parallel with the poles; and the voltage distributed on the matching capacitor is in a direct proportion to the voltage between the poles. The voltage on the matching capacitor is measured by adopting the capacitive voltage dividing type inter-polar voltage detection loop, so the aim of measuring the voltage between the poles can be fulfilled.

The invention provides a mental state assessment and regulation system based on transcranial stimulation. The mental state assessment and regulation system is characterized by comprising the followingparts: a physiological signal acquisition module for acquiring a physiological signal of a tested subject; a mental state assessment module used for performing physiological signal preprocessing, feature extraction and mental state analysis to obtain a mental state assessment result; control equipment used for judging the mental state evaluation result and adjusting stimulation parameters according to the mental state evaluation result; and transcranial stimulation equipment used for performing transcranial stimulation on the tested subject according to the stimulation parameters. The mentalstate assessment and regulation system can carry out personalized targeted mental state regulation on the tested subject, has a good mental state adjustment effect, is convenient and effective to use,and has the advantages of noninvasiveness, effectiveness, safety, easiness in operation and the like. The invention further provides a working method of the mental state assessment and regulation system.

The invention relates to an intelligent monitoring system and an intelligent monitoring method for storage and transportation packing cases. The system comprises a power supply module, a state monitoring module, a storage and memory module, a system control module, a wireless communication module, a server used for data receiving, storing and forwarding, and a client used for sending a control command to the server and connected with the server. The system is adopted in the method to complete operation. According to the intelligent monitoring system and the intelligent monitoring method for storage and transportation packing cases, a multi-sensor data fusion technology is adopted to monitor the temperature, humidity and other information of goods in the storage and transportation process in real time, alarm is issued when the temperature, humidity or CO2 exceeds the standard or a case is opened illegally, temperature and humidity change and geographical information in the storage and transportation process can be recorded, and such functions as goods state monitoring, safety alarm and whole-process goods information tracing are achieved. The internal environment conditions of a storage and transportation packing case can be monitored, monitoring of abnormal opening is realized, and the transportation safety is improved.

The invention provides a cable local-defect diagnosis method which includes the following steps: (1) extracting a natural propagation coefficient of a to-be-tested cable under an intact condition; (2) measuring an input impedance amplitude or a phase frequency spectrum at a head end of the to-be-tested cable; (3) constructing a way-side characteristic diagnosis function which reflects a way-side propagation coefficient change condition of the to-be-tested cable; (4) searching for a peak value point of the way-side characteristic diagnosis function, wherein the position of the peak value point is the position of a defect and the higher the peak value is, the more serious the defect is. Through implementation of the cable local-defect diagnosis method, accurate positioning and severity diagnosis of a local defect of a cable can be realized and potential safety hazards of the cable are reduced.

The invention discloses a tracking method of an airborne unmanned aerial vehicle multi-target tracking system based on deep learning, and belongs to the field of unmanned aerial vehicle target tracking. Real-time image information is obtained through a pan-tilt camera; after basic preprocessing is carried out, multiple targets in the image are detected and tracked through a deep learning algorithm, meanwhile, a data association algorithm is used for carrying out association of adjacent frame motions on the targets, one-to-one matching is completed, and current state estimation and historical motion recording of the multiple targets are achieved; according to the position and speed prediction results of the targets, the holder is adjusted to keep the targets in the center of the image, monocular distance measurement is realized, and tracking flight of the targets is realized in combination with the position and speed of the targets. The method does not depend on a GPS, realizes visual angle maintenance in the tracking process, can rapidly, accurately and stably track multiple targets and perform selective tracking, and can better solve the problems that tracking disappears and thenappears and the like; meanwhile, interaction with a user can be performed through wireless communication, and a tracking state is fed back.

The invention discloses a master-slave wireless sensing node monitoring system for cold chain logistics. The master-slave wireless sensing node monitoring system for the cold chain logistics comprises a master node installed on a cold-chain logistics transportation vehicle and powered by a vehicular power supply of the transportation vehicle, multiple slave nodes which are installed in all refrigerated containers on the transportation vehicle dispersedly, a server for monitoring the master node and the slave nodes, and a wireless communication module for performing information interaction between the master node and the slave nodes, and between the master node and the server. The master-slave wireless sensing node monitoring system for the cold-chain logistics can overcome the defects of low transportation reliability, poor using safety and the like in the prior art, and has the advantages of high transportation reliability and good using safety.