563results about How to "Implementation status" patented technology

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 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 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 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 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 relates to a cloud manufacturing serve access terminal for machine tool equipment, and belongs to the technical field of distribution type manufacturing system information integration. The cloud manufacturing serve access terminal is a hardware-hardware integrated device comprising a central processing unit, a memory, an LCD (Liquid Crystal Display), a touch screen input interface, a video input interface, a general-purpose input/output interface, an Ethernet interface, a JTAC interface, a general-purpose serial bus interface, a machine toll communication conversion interface, an embedded manufacturing execution system and a real-time operation system. The terminal can effectively lead wide-area and variant machine tool equipment to a cloud manufacturing serve platform, achieves the real-time acquisition, transmission and monitoring of processing information of the machine tool equipment, and provides the support for optimal operation of the cloud manufacturing serves such as machine tool equipment networked integrated operation, technology real-time optimal decision, remote maintenance and repair and the like. The cloud manufacturing serve access terminal has the characteristics of convenience in access, high stability, strong generality and good expansibility.

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 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.

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 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.