66results about How to "Operation Status Monitoring" patented technology

The invention discloses an intelligent control method for strong oil air cooling of a transformer, which comprises the following steps: step a: the program starts, initializes, and then turns into a main program for circulating operation; B, sample and processing that upper oil temperature of the transform; C, judge that sampling temperature in the step b; Step d: if the oil temperature judged instep c is greater than the upper limit temperature, the fan automatically switches on and off subroutine 1; If the oil temperature judged in the step c is less than the upper limit temperature, the fan automatically switches on and off the subroutine 2; E, sending that temperature signal and the running program to a liquid crystal screen for display; (f) send that upper oil temperature of the current transformer and the operation condition of the fan to the upper compute through a remote communication program; Step g: End the current program and return to step b. The invention has the advantages that the problems that the prior art is not conducive to energy saving and effective utilization of equipment, and the air cooling device is frequently switched on and off are solved.

The invention discloses a line patrol robot for comprehensively monitoring power lines and a method thereof. The line patrol robot comprises a frame and a walking mechanism; an electric control box is mounted at the bottom of the frame; a first image acquiring module and a second image acquiring module are mounted on the frame, and are respectively used for monitoring power line operation state image information in the advancing direction and reverse direction of the line patrol robot; the walking mechanism includes a driving module and a mechanical arm; the driving module is connected with a controller; a third image acquiring module is arranged at the terminal of the mechanical arm; and under the control effect of the controller, the driving module drives the mechanical arm to move to adjust the monitoring angle of the third image acquiring module to finally realize comprehensive monitoring of the power lines by the line patrol robot.

The invention belongs to the technical field of household networks, and specifically relates to a remote monitoring method for household network equipment. The household network equipment comprises a control end, a controlled end, and a remote control server, wherein the control end is in wireless connection with the controlled end through the remote control server. The specific steps of the method are as follows: the starting and logging of the controlled end, data collection and push, the starting and logging of the control end, and real-time check or control. Accordingly, the technical scheme of the invention is that the operation state of the household network equipment is monitored remotely through the remote setting and controlling of the operation state of the controlled end and browsed contents and the real-time reporting of the operation state and the browsed contents to a user control end.

The invention provides an environment monitoring and controlling system comprising a data acquisition device, an acquisition controller PLC, and a cloud control system. The PLC only has input, output and communication functions. The PLC transfers data to the cloud control system through an EPON passive optical communication network with an optical fiber as the medium, and an output command is transferred to the PLC through the EPON passive optical communication network after the cloud control system completes data processing and analysis, thus completing the control requirements. The cloud control system performs integrated operation on data transferred from other areas or systems, makes simulation analysis to obtain an optimal control scheme, and sends the optimal control scheme down to the PLC for control, thus realizing soft linkage between different areas or different systems. Meanwhile, by weakening the operation function of the PLC, the manufacture cost is decreased, the size is reduced, and PLC implementation, deployment and installation are facilitated. The system can also monitor the running status of equipment and control the running status of equipment and the environment status in real time.

The invention relates to a big data platform running state monitoring method and system. The method comprises the steps that all task stages of a computational task of a big data platform are determined; task execution conditions of the computational task in all the task stages are obtained through monitoring nodes deployed on the big data platform in advance, wherein the monitoring nodes and nodes where all the task stages of the computational task of the big data platform are located are correspondingly deployed; according to the task execution conditions of the computational task in all thetask stages, the running state of the big data platform is monitored. In this way, the task execution conditions of the computational task of the big data platform in all the task stages are obtainedthrough the monitoring nodes deployed in advance, the running state of the big data platform is monitored according to the task execution conditions, the problem that in the traditional technology, by monitoring a service component of the big data platform, the accuracy is low is solved, the running state of the big data platform is accurately monitored, and the running efficiency of the big dataplatform is guaranteed.

The invention provides an electric power metering equipment fault risk prediction method based on GBDT. The method comprises the steps that a fault risk prediction model and a feature set corresponding to a to-be-predicted electric power metering equipment sample are determined according to obtained basic data of the to-be-predicted electric power metering equipment sample, and the feature set comprises a fault class F, a fault class f, idle time T, in-operation time R and a property unit corresponding to the electric power metering equipment sample; taking the feature set as the input of a feature set fault risk prediction model, and determining the predicted life of the electric power metering equipment sample to be predicted, the predicted life being the cumulative use time corresponding to the specified electric power metering equipment fault probability; or the fault probability of the electric power metering equipment corresponding to the specified cumulative use time is determined. According to the prediction method provided by the invention, the predicted service life of the electric power metering equipment can be accurately determined, so that the operation state of the electric power metering equipment can be effectively monitored.

The invention discloses an auxiliary relay protection monitoring processing system and a processing method thereof. The auxiliary relay protection monitoring processing system comprises a data obtaining unit, a data processing unit, a data information extraction unit, a data monitoring device, a real-time data recording system, a relay protection monitoring server, a fault information analysis display unit, a control unit and a relay protection unit; an input end of the data processing unit is connected with a power grid dispatching center and an output end is connected with an input end of the relay protection unit respectively through the data processing unit, the data information extraction unit, the fault information analysis display unit and the control unit; an output end of the data detection device is connected with the fault information analysis unit sequentially through the real-time data recording system, the relay protection monitoring server and the fault information analysis display unit. The auxiliary relay protection monitoring processing system and the method can accurately position the fault reason and fault points, reduces the power failure time for overhaul, improves the utilization relate and the operation reliability of equipment and meanwhile reduces overhaul costs.

The invention relates to an analytic system and an analytic method for simulating the data information of a spacecraft in flight, wherein the analytic system comprises a front-end transmission unit, which is used for two-way transmission of data information with the spacecraft; a front-end processing unit, which is used for controlling the front-end transmission unit and collecting the data information in the front-end transmission unit; and a rear-end processing unit, which is used for acquiring the data information in the front-end processing unit and analyzing the data information. The comparison of execution of commands on the spacecraft is quick and accurate, meanwhile, the spacecraft can be interpreted in real time, when abnormality appears, sound or image alarm can be automaticallyand timely performed, so that a user can respond within a short time, and delay is avoided.

The invention discloses a method and apparatus for monitoring the running state of a service item and relates to the technical field of information, mainly for the purpose of accurately obtaining running state information of a service item in real time, reducing the workload of operation personnel at the same time and improving the processing efficiency of abnormal information of the service item. The method comprises the following steps: monitoring port state information of a service port corresponding to a service item in a server cluster; judging whether the running state of the service item is abnormal according to the port state information; and if yes, outputting early warning information of an abnormality of the service item so that the abnormal condition of the service item can be handled. The method and apparatus are suitable for monitoring the running state of a service item.

The invention discloses a capacitor operation state online monitoring method based on a PCB Rogowski coil. The method uses a PCB Rogowski coil as a current sensor for online monitoring, and comprisesthe following steps: (1) designing a corresponding PCB Rogowski coil according to an actually monitored capacitor, and sleeving the PCB Rogowski coil on any pole of the capacitor to measure ripple current of the capacitor; (2) obtaining ripple voltage and DC voltage of the capacitor by using an isolation operational amplifier; (3) filtering the ripple current and the ripple voltage and inputting the ripple current and the ripple voltage into a microcontroller; (4) measuring the temperature of the capacitor shell to indirectly obtain the core temperature of the capacitor; (5) looking up a tableor calculating to obtain an ESR initial value at the core temperature of the capacitor in step (4); and (6) calculating the ripple voltage and the ripple current of the capacitor to obtain the real-time ESR of the capacitor, comparing the real-time ESR with the initial ESR to obtain the operation state of the capacitor, and finally transmitting the information to a data center. According to the invention, the operation state of the capacitor can be monitored in real time.

The invention discloses a face recognition system. The face recognition system comprises a plurality of face recognition machines, a face registration machine and a control computer, wherein the facerecognition machines and the control computer are communicated through Ethernet; the face recognition machines and the face registration machine are communicated through a TCP/IP (Transmission ControlProtocol/Internet Protocol); the face recognition machines are used for uploading a recognition result to the control computer and transmitting the recognition result to a matched network type door controller through a network; a door lock is controlled through a door controller. According to the face recognition system disclosed by the invention, personnel data registration adopts a manner of intensively inputting text information and carrying out distribute acquisition on image information and modeling; the face recognition system is suitable for operation and management of a large scale system; the control computer is used for monitoring all recognition of the whole system and an operation state of control equipment. According to the face recognition system disclosed by the invention,face recognition is combined to carry out data comparison in the aspect of safety control; when people enter an entrance, the face recognition is used for verifying and safety management and control of entering and exiting of people is ensured; a current position of a visitor is positioned and tracked in time through control calculation.

The invention discloses an operation and maintenance service management platform and an operation method thereof, and the platform comprises the steps that an application access layer obtains a function instruction corresponding to an operation and maintenance object provided by an infrastructure layer, and transmits the function instruction to an application layer; the application layer generatesa calling instruction according to the function instruction and sends the calling instruction to the service layer; the data layer stores support data for realizing a maintenance function; and the service layer calls components of the component layer to run corresponding target services according to the call instruction and in combination with the support data, and provides the target services tothe application layer through the service interface. The monitoring of the operation state, safety and the like of the informatization system is realized, the difficulty of fault positioning is reduced, the dependence on key technicians is reduced, and the service capability is continuously improved in the operation and maintenance process.

The invention provides a trouble shooting and locating method for a power distribution network. The method includes steps of 1, current information is obtained and sent to an information collecting unit; the information collecting unit collects preset current data information of a power distribution terminal and sends the data information together with the collected current information to a data analyzing unit; 3, the data analyzing unit compares the collected data and obtains a data level corresponding to optical signals; 4, a fault locating module collects a fault level and fault analysis information after judgment and performs analysis and locating according to the received data information and displays the information after locating through a fault display unit; 5, when the fault level surpasses a preset range or the fault locating module cannot locate the fault, an alarm device sends out an alarm. The method provided by the invention can be used for locating fault reasons and fault locations accurately, time of power interruption for maintenance is reduced, equipment utilization rate and operation reliability are improved and maintenance cost is reduced at the same time.

The invention discloses a power equipment operation status monitoring method based on infrared images. The method includes: (1) collecting the infrared images of power equipment; (2) determining infrared image features used to judge power equipment operation status; (3) dividing the infrared images according to the infrared image features; and (4) judging the power equipment operation status, which corresponds to the infrared images, according to a result of division. In addition, the invention also discloses a system. The system includes: infrared cameras; optical terminals, which convert the infrared images into a digital form; a server, which stores the infrared images which are from the optical terminals and in the digital form; a switch; and workstations, which read the infrared images, which are stored by the server and in digital form, through the switch, and execute the step (2) - the step (4) in the method. The method and the system of the invention combine digital technology to process the infrared images according to characteristics of the infrared images of the power equipment, and thus effectively monitor the operation status of the power equipment.

The invention discloses a front-mounted ETC electronic tag system and method and a storage medium. The system comprises a dedicated short-range communication transaction subsystem which is provided with a first serial port communication module, wherein the first serial port communication module is internally provided with a first finite-state machine; and an electronic control unit management subsystem which is provided with a second serial port communication module, wherein a second finite-state machine is arranged in the second serial port communication module; and the dedicated short-range communication transaction subsystem is in communication connection with the electronic control unit management subsystem through the first serial port communication module and the second serial port communication module. Therefore, the state information of the electronic tag can be reported to the whole vehicle in real time, so that the whole vehicle can effectively monitor the operation state of the ETC electronic tag, and a vehicle owner can conveniently master ETC charging in real time.

The invention relates to a rotary kiln catch wheel hydraulic system and a working method thereof. The system comprises an oil tank A, a gear pump, a first one-way valve, a first pressure switch, a first electromagnetic directional valve, a first one-way throttle valve, a second one-way throttle valve, a second pressure switch, a second one-way valve, a third one-way valve, a first filter, an overflow valve, a second filter, a third pressure switch, a fourth one-way valve, an oil tank B, a small-flow high-pressure pump, a catch wheel oil cylinder, a fifth one-way valve and a second electromagnetic directional valve. The rotary kiln catch wheel hydraulic system and the working method thereof aim to shorten the oil supplementing time of the catch wheel hydraulic system, and the adjusting result of the throttle valves is not damaged in the oil supplementing process; and in addition, the hydraulic system is used for monitoring the stress state of a rotary kiln during running, key components of the rotary kiln are effectively protected, and the service life of the rotary kiln is prolonged.

The invention discloses a real-time monitoring networking main control system for a numerical control machine tool, and belongs to the field of numerical control machine tool monitoring. The system comprises a numerical control machine tool and a control system, wherein the control system is connected with a single-chip microcomputer. The single-chip microcomputer is connected with a wireless signal certification system, and the wireless signal certification system is in wireless connection with a branch control system. The branch control system is connected with a main control system. A video collection terminal, a signal processor, a video filer, an information collection terminal and an information processing module are connected between the numerical control machine tool and the single-chip microcomputer, and a sensor and a signal converter are also connected between the numerical control machine tool and the single-chip microcomputer. The interior of the branch control system is provided with a wireless signal processing module, a data input module, a main controller, an information input module, and an information output module. The interior of the main control system is also provided with a main processor, an information receiving module, an information feedback module, and an operation terminal. The system is convenient to use, is easy to popularize, reduces the laying cost of a dedicated line, collects video monitoring data, and achieves the overall networking main control dispatching resource sharing.

The invention discloses an intelligent analyzing and monitoring system for load and temperature rise of a generatrix groove. The intelligent analyzing and monitoring system mainly consists of a data collecting unit, a data collecting server and a data processing service center, wherein the intelligent analyzing and monitoring system is characterized in that the data collecting unit mainly comprises a temperature rise monitoring device and a load monitoring device, the temperature rise monitoring device and the load monitoring device are respectively connected to a VKIE hyperterminal through RS485/RS232/TCP, and the VKIE hyperterminal is connected to the data collecting server through an inner-enterprise local area network; the data collecting server is connected to the data processing service center constituted by an application server of a configuration database through 3G/broadband/optical fibers by a wide-area network. The intelligent analyzing and monitoring system has the advantages of reasonable structural composition and convenience in use and operation, and the operation condition of the generatrix groove can be monitored in a real-time manner, so that the security and the reliability of the power operation are improved.

The invention discloses a transient analysis method and device for an extra-high voltage parallel capacitor and a storage medium. The method comprises the steps: determining the current of a synchronous transient capacitor in a synchronous closing state and the current of a non-synchronous transient capacitor in a non-synchronous closing state of a parallel capacitor bank based on a current powergrid parameter; respectively establishing a relation model between the synchronous transient capacitor current and an initial phase angle and a relation model between the non-synchronous transient capacitor current and the initial phase angle; and determining the closing current of a parallel capacitor bank according to the relationship model. According to the method, the transient running currentof the capacitor can be obtained, and the running state of the extra-high voltage parallel capacitor can be monitored.