156results about How to "Automate monitoring" patented technology

A method for monitoring the health of a system comprises performing at each of a plurality of times the steps of:

constructing a condition signature from a plurality of condition indicators including (a) a plurality of vibration measurements acquired from the system or (b) one or more vibration measurements and one or more performance parameter measurements acquired from the system;

predicting a normal signature from a model defining one or more inter-dependencies between said condition indicators, the normal signature corresponding to the condition signature for a healthy system;

comparing the condition signature with the normal signature; and

registering an event if the condition signature differs from the normal signature by more than a predetermined threshold.

Systems and techniques for managing services and applications of a client system, such as an enterprise computer system, reduce the operational workload and optimize daily support process by deliverying embedded services in client system with direct connection of services into a back-end system so that back-end system processes can analyze client system information and provide detailed reports and analyses and with continuous (or regular) data exchange between client system and backend system to ensure efficient client system software processes. The embedded services can include support, operation, change and deploy, and plan and optimize services. The output of at least one of these services can be pushed to and displayed in a graphical user interface. A fact sheet provided with he graphical user interface contains on one page all the information that is needed to clearly show who is responsible for handling information technology problems, incidents, tasks, and service requests.

The invention discloses an environment monitoring method and device based on artificial intelligence, equipment and a storage medium. The method comprises the following steps: carrying out safety behavior identification on a video image by using an image identification model to obtain an illegal behavior record; analyzing the environmental data according to environmental parameter requirements toobtain abnormal environmental data; grading the violation data in the to-be-analyzed violation information to obtain a behavior safety score; according to a preset corresponding relation between the score and the violation level, obtaining the violation level corresponding to the behavior safety score, and carrying out early warning according to a preset early warning measure corresponding to theobtained violation level; and calculating abnormal duration corresponding to each parameter type in each functional sub-region, and if the abnormal duration exceeds a preset time threshold, performingsafety alarm. According to the technical scheme, manual checking and inspection are not needed, the labor cost is reduced, the automatic monitoring efficiency is higher, and the monitoring timelinessand accuracy are effectively improved.

The invention discloses a method and a system for preventing collision of a robot based on a current method. The method comprises the following steps: acquiring the working current value of a drivingmotor, and comparing the working current value with a corresponding standard current value-position curve, thus obtaining a comparison result of each current; judging whether each part of the robot isin collision or not according to the comparison result of each current. The system comprises a current module, a comparison module and a judgment module, wherein the current module is used for acquiring the working current value of the driving motor; the comparison module is used for comparing the working current value with the standard current value; the judgment module is used for judging whether the robot is in fault or not. According to the method and the system, disclosed by the invention, whether corresponding parts of the robot are in collision or not can be quickly judged through acquiring the working current value of the driving motor, and measures can be taken in time once the robot is in collision, so that automatic monitoring on the robot can be realized, and the safety of life and property can be ensured; the method and the system can be widely applied to the technical field of robots.

A system and method for reducing medical error is disclosed. In one embodiment, the system comprises a worker device adapted to be worn on a worker, a compliance device, an action device and a base station. The compliance device defines a work zone based on a signal strength received by the worker device from a monitoring signal transmitted from the compliance device. The action device is adapted to be installed to a pump bottle, having a pressure-sensitive mechanism for actuating the action device upon the worker pressing the pump bottle, and an omnidirectional antenna adapted to transmit an action signal to be received by the worker device upon actuation of the action device. The base station is adapted to receive data transmitted from said worker device.

The invention discloses a belt conveyor monitoring system based on the Ethernet. The belt conveyor monitoring system based on the Ethernet is characterized by comprising a monitoring host, a monitoring terminal, an optical fiber communication ring network, a series sensor, a switching value control device, a motor frequency conversion control device, a video monitoring probe and an internet telephone terminal; the monitoring host is a monitoring and control center of the belt conveyor monitoring system; the monitoring terminal completes collection of state information and field environment information of a belt conveyor; the optical fiber communication ring network is a double-ring network; the series sensor is arranged along a conveying belt and is used for detecting the environment information of the conveying belt and monitoring the work state of the conveying belt in real time; and the switching value control device gives out an alarm when the belt conveyor breaks down or running state problems are found and controls corresponding equipment to act or be shut down. The motor frequency conversion control device, the video monitoring probe and the network telephone terminal achieve corresponding functions. A comprehensive monitoring method is provided for monitoring of the belt conveyor.

The invention discloses an illegal fishing behavior identification method based on automatic image identification. The method comprises the steps that images shot by a camera are processed in real time, then whether illegal fishermen exist in a region or not is judged; if existing, a voice module is started to play warning and expelling voice recorded in advance, the illegal fishermen are warned and fish schools are scared, so that fishing behaviors of the fishermen are destroyed; meanwhile the shot monitoring pictures in which illegal fishing behaviors exist are sent to an administrator. By means of the method, automatic monitoring of a fishing prohibited area can be achieved, the high manpower cost is reduced to the utmost extent, meanwhile the management efficiency is improved, the monitoring accuracy is high, and the method has a great engineering application value.

The invention discloses a skating rink monitoring method and device based on behavior detection. The method comprises the following steps of: subtracting two adjacent video frames of a real-time monitoring video of a skating rink to obtain a video difference image, and forming a video difference image sequence by a plurality of video difference images; performing human body key point detection andsubset division on the video difference image sequence based on a human body recognition model to obtain a human body target in the video difference image and a key point set of the human body target; based on a three-dimensional convolutional neural network, performing behavior identification on each human body target and key points thereof in the video difference image to obtain a behavior typeof the human body target;and triggering a prompt when the behavior type is judged as a dangerous behavior. According to the method, the behaviors of the skating person can be analyzed by processing the monitoring video, and the dangerous behaviors are prompted, so that the automatic monitoring of the skating field is realized, the manpower is saved, and the monitoring effect of management personnel is also improved.

The invention discloses a method for diagnosing large transactions and hotspot transactions of an Oracle database. In the operation process of an Oracle database application system, by relating the applications of the system with the database transactions, correlating an application layer with a database layer and monitoring the operation time and operation frequency of the transactions through an automatic monitoring way, the applications of large transactions and hotspot transactions are accurately positioned and started for the transactions reaching the threshold standard based on the established relation between the transactions and the application module; and the diagnosis of large transactions and hotspot transactions in an operation process of the Oracle database application system comprises the following specific steps: 1) configuring an application module identifier and an Oracle database transaction identifier, and setting a transaction threshold; 2) starting the work threads or processes of the database application system background, wherein the work threads or processes include a sampling thread or process, a screening thread or process and an alarm thread or process; 3) initializing a special database connection pool module, and establishing relation between the application layer and the database layer; and 4) performing transaction sampling, wherein a sampling thread periodically obtains the transaction time consumption information of the transaction identifier from the view of the Oracle database application system.

The invention discloses a performance detecting system for a seeding mechanism, which comprises a controller used for controlling the operation of a seeding mechanism test bed and a seeding mechanism detecting system, a speed monitoring unit which carries out data communication with the controller and is used for measuring and controlling the speed of motors, and an image acquisition unit which carries out data communication with the controller and is used for acquiring data. The system of the invention monitors the speed of various motors through the speed monitoring unit and can utilize the controller to regulate the speed of various motors, thereby obtaining more reasonable test results; besides, the system of the invention can obtain video data and image data during the seeding test process through the image acquisition unit, thus analyzing the test results more clearly and intuitively. The system of the invention realizes automatic monitoring over the seeding mechanism test bed and the accurate measurement of seeding data and has the advantages of simple structure and convenient and fast operation.

The invention provides a farmland surface water management and control system and a fabrication method thereof as well as a farmland surface water management and control/irrigation and drainage method. A surface water management and control facility is arranged along the riverbed of a river channel according to the farmland irrigation plan of a region; the surface water management and control facility is composed of a surface water irrigation metering control cabinet, a water storage well, a water guide opening, a water guide pipeline and a water delivery pipeline; the surface water irrigation metering control cabinet is fixedly mounted on the top of the water storage well; a surface water controller, a power distributor and a communication antenna are mounted in the surface water irrigation metering control cabinet; the surface water controller is connected with the power distributor by use of a line; the power distributor is connected with the switch of a submerged pump by use of a circuit; the surface water controller sends an instruction to the power distributor by use of the line to turn on or turn off the submerged pump; the surface water controller transmits the data information acquired by the surface water controller to a agricultural water resource management and control center by use of the communication antenna. The farmland surface water management and control system is scientific in design, reasonable in structure, low in cost, and simple to fabricate, and supports warning on insufficient balance, warning on instrument metering faults, warning on door opening and warning on pump faults.

The embodiment of the invention provides an abnormity identification method and device for an automobile machine system. The method comprises the following steps: acquiring a detection image of a screen in the operation process of an automobile machine system; inputting the detection image into a preset artificial intelligence model, obtaining a classification result of the detection image outputby the artificial intelligence model; wherein the classification result comprises an abnormal image or a normal image; wherein the artificial intelligence model is obtained by training an abnormal sample image; judging whether the automobile machine system is abnormal or not according to the classification result of the detection image; According to the method, automatic monitoring of the operation process of the automobile machine system can be achieved, whether the automobile machine system is abnormal or not in the operation process can be automatically judged, a worker does not need to monitor the operation process of the automobile machine system, the operation process of the worker is simplified, and the testing efficiency is improved.

The invention discloses a mobile application channel logging and monitoring method, apparatus and system, and a storage medium. The mobile application channel logging and monitoring method includes the steps: receiving the log-in information generated from the mobile application which utilizes the image identification technology to automatically log in any one channel; writing the log-in information into a configuration file; taking the preset monitoring period to read the log-in information in the configuration file; according to the log-in information, generating a verification request and then sending the verification request to a channel service terminal; and receiving the verification result fed back from the channel server so as to determine the log-in situation of the channel. In the scheme of the mobile application channel logging and monitoring method, apparatus and system, the log-in information of the channel is generated from the mobile application which automatically logs in the channel through the image identification technology, so that the problem that manual log-in consumes long time and cannot be monitored in real time is solved; and channel monitoring can be performed through real log-in of the client in the mode of verifying the log-in information, so that the log-in situation of the channel can be reflected truly.

The embodiments of the invention provide a computer room monitoring method and device. The computer room monitoring method and device are applied to a monitoring system comprising a temperature sensing assembly, a vibration sensor, a camera, a processor and a cloud server; the temperature sensing assembly, the vibration sensor, the camera and the processor are arranged in each computer room; the processor is connected with the temperature sensing assembly, the vibration sensor and the camera in the same computer room. With the computer room monitoring method and device adopted, the automatic monitoring of accidents such as fire disasters and theft of the computer room is realized; and induction is carried out on the basis of the temperature sensing assembly and the vibration sensor; the camera is started for monitoring only when an abnormity is determined on the basis of the induction; and image data obtained through the camera are uploaded to the cloud server, so that the cloud server can perform early warning, namely, the automatic monitoring of the computer room is realized; the transmission of a data amount is reduced; the power consumption of the whole device is reduced; when an alarm is given out, adjacent other computer rooms are also defined as alarm computer rooms for the sake of preventing the spread of the accidents, and therefore, the accidents such as fire disasters are avoided as far as possible.

The invention discloses an automatic debris flow wireless monitoring prevention and early warning device. The automatic debris flow wireless monitoring prevention and early warning device is characterized by comprising a field monitoring device and an indoor monitoring device, wherein the field monitoring device and the indoor monitoring device are in wireless communication connection. The field monitoring device comprises a laser displacement sensor (2), a rain gauge (3) and a strain gauge (4), wherein the laser displacement sensor (2), the rain gauge (3) and the strain gauge (4) are connected with a wireless transmission module (1). The laser displacement sensor (2) comprises a laser transmitter (5) and a laser receiver (6), wherein the laser transmitter (5) and the laser receiver (6) are arranged in an opposite mode. The wireless transmission module (1), the rain gauge (3) and the laser receiver (6) are arranged on a stable rock mass, the laser transmitter (5) is arranged on a sliding mass (10), and the strain gauge (4) is arranged in a region which debris flow easily flows through. According to the automatic debris flow wireless monitoring prevention and early warning device, field monitoring and indoor monitoring are combined, multiple prevention and early warning measures are taken, the prevention and early warning effect is remarkable, and the requirement for early warning of debris flow in a remote mountain area can be met.

The invention relates to an internal heat exchange type material pyrophorisity test device with a cutting knife safety control component. The internal heat exchange type material pyrophorisity test device comprises a box body, a temperature control component, the safety control component and a feedback control component. Compared with the prior art, the internal heat exchange type material pyrophorisity test device has the advantages that the temperature control component, the safety control component and the feedback control component are organically combined together through a modularization concept, so that fed gas is heated by afterheat of exhausted gas through the temperature control component consisting of a heat exchanger and a heating stick, and the energy consumption amount can be effectively reduced; the safety control component can protect an experimenter and equipment under emergency conditions of sample combustion, explosion and the like; automatic control can be realized through the feedback control component and a relevant sensor. By virtue of the compact modularized structural design, the internal heat exchange type material pyrophorisity test device solves the problem that most of the conventional baking ovens are not suitable for the test on the material pyrophorisity, can realize energy conservation, explosion prevention and pollution prevention, has a ventilating function and is convenient to operate and maintain.

This invention relates to a automatic device for controlling the low-voltage power distribution net in country, which comprises upper supervisor and inferior machine, its circuit structure mainly includes GSM communication unit, single sheet machine process controlling unit, data-collecting unit, three-phase current-voltage sample collecting unit, relay unit, collating unit and power source circuit. Adopting this device not only can remote control the operation state of low-voltage power distribution net in country, but be suitable for checking and controlling the power load for consumer.

The invention discloses a breakpoint behavior monitoring processing method which comprises the following steps: when breakpoint behavior monitoring is carried out on an application program, obtaininga change value of a user conversion rate using the application program recorded by an application program system background server in real time; Monitoring whether the change value is greater than orequal to a first preset threshold; When the change value is greater than or equal to a first preset threshold value, acquiring user breakpoint data, and performing breakpoint analysis on the user breakpoint data to obtain an analysis result; And if the analysis result is abnormal, executing alarm processing and/or version rollback processing. The invention further discloses a device, equipment anda readable storage medium. According to the invention, automatic software monitoring can be realized, the timeliness and effectiveness of breakpoint problem processing are effectively improved, the abnormal response time is reduced, the influence of breakpoints on services is reduced, and user loss is avoided.

The embodiment of the invention provides a legality detection method and a legality detection device for live broadcasting, the method comprises the following steps: inquiring a live broadcasting roomcurrently performing live broadcasting; dividing a monitoring level for the live broadcasting room; determining monitoring parameters mapped by the monitoring level; and detecting legality of live broadcasting of the live broadcasting room under the monitoring level according to the monitoring parameters. On one hand, automatic monitoring for the live broadcasting room is realized, conditions ofvisual fatigue and omission caused by long-term manual monitoring are avoided and cost is reduced greatly, and on the other hand, corresponding monitoring measures are taken for the live broadcastingrooms of different monitoring levels, handling capacity is reduced and handling efficiency is improved while monitoring effects are guaranteed.

The invention discloses a segmentation method for live pig images in complex environment. The method comprises the following steps: obtaining the live pig images in real time; establishing a Cartesian coordinate system; conducting gray scale conversion to live pig images to be segmented for gray scale pictures of a live pig followed by a process for the gradient pictures of the live pig; segmenting and extracting for an initially segmented image; performing calculations on the initially segmented image; removing the connected domain for a second segmented image; calculating to obtain an object, the size of the object, the light intensity and the distance; constructing a biased swelling element; calculating the shadow compensation coefficient; processing the second segmented image for a fourth segmented image; and processing in accordance to the fourth segmented image and in combination with the second segmented image for a fifth segmented image. The method of the invention can effectively tell a pig body from a live pig image in a pig house with complicated environment. It can also process consecutively in batches and can be self-adjusted, which makes the method suitable for processing images monitoring live pigs for a long time and helps realize the automatic monitoring to live pigs.

A novel online swimming pool water monitoring system comprises a controller, an operating switch, a thermograph, a turbidity meter, a pH (potential of hydrogen) meter, a residual chlorine comparator, an information display module, a lift pump, a circulating pump, a wireless transceiver, an Internet or GPRS (general packet radio service) and a data management center. The operating switch, the thermograph, the turbidity meter, the pH meter and the residual chlorine comparator are respectively in input connection with the controller, the information display module, the lift module and the circulating pump are respectively in output connection with the controller, the wireless transceiver is connected with the controller, and the data management center is in interaction with the controller through the Internet or GPRS. By the arrangement, monitoring automation can be realized, deterioration of swimming pool water quality can be forecast, and online querying and sharing of water quality information can be realized.

A method for monitoring a pressurized gas-based cleaning process in a hose filter installation (2): during a cleaning process, a throughflow (Q) of a pressurized-gas flow during a predefinable time period (T) is determined, a throughflow characteristic (V) is determined using the determined throughflow (Q) of the pressurized-gas flow, and the pressurized gas-based cleaning process is monitored using the throughflow characteristic (V), wherein the throughflow characteristic (V) is a pressurized-gas quantity that has flowed in the predefinable time period (T). A monitoring system (40) for a hose filter installation (2) has at least one throughflow sensor (44) for determining a throughflow (Q) of a pressurized-gas flow, and a control unit (42) for controlling a pressurized gas-based cleaning process, wherein the throughflow sensor (44) is a volume flow sensor or a mass flow sensor, and the control unit (42) is set up for carrying out the method.

The invention discloses a coal conveying metering system and method. The coal conveying metering system comprises a mobile terminal, a doorkeeper recognition system, a wagon balance system, an automatic coal yard system, a manual loading coal yard system, a server and the like. When the coal car passes through the entrance guard recognition system, the wagon balance system, the automatic coal yardsystem and the manual loading coal yard system, the license plate and the two-dimensional code information of the coal car need to be recognized, and the coal car can enter a corresponding area onlywhen the license plate is matched with the car information in the two-dimensional code. Besides, code scanning equipment is further arranged at each coal bunker of the automatic coal yard and the manual loading coal yard and used for scanning coal type information contained in the two-dimensional code information of the coal car so as to ensure that the coal type information of the coal car corresponds to the coal bunker where the coal car is located. According to the invention, automatic monitoring of the whole process of coal conveying metering operation of the coal mine is realized, manpower is saved, the coal conveying efficiency is improved, and cheating can be effectively prevented.

The invention provides an airport moving target detection system based on intelligent perception analysis. The airport moving target detection system comprises a perception monitoring unit, an optimalpath planning unit, a discrete information integration decision-making unit and a receiving display terminal; the perception monitoring unit is used for collecting airport surface monitoring information; the optimal path planning unit is connected with the discrete information integration decision-making unit to send an optimal path to the display terminal; the discrete information integration decision-making unit comprises a second input module, a safety alarm module, a guide module and a decision-making control module, wherein the guide module is used for outputting a navigation aid light control instruction; the receiving display terminal is used for visually providing timely and reliable alarm information for pilots and vehicle drivers. Correspondingly, the invention provides an airport moving target detection method based on intelligent perception analysis. With the system and method adopted, intelligent prediction of and warning against airport surface conflicts can be realized,the visual display of the moving position of an airport surface moving target can be achieved, and a high automation degree can be realized.

The invention belongs to the technical field of monitoring, in particular to an example monitoring method, a computer-readable storage medium and a terminal device. The method comprises the followingsteps: acquiring a newly created instance, wherein the newly created instance is configured with a corresponding monitoring type; associating the newly created instance with a preset alarm policy of the monitoring type stored in the monitoring system according to the monitoring type corresponding to the newly created instance, the preset alarm policy comprising an alarm condition; after the association, judging whether the newly created instance satisfies the alarm condition in the alarm strategy in the running process according to the alarm policy of the newly created instance; if the alarm condition in the alarm strategy is satisfied, the automatic alarm function is triggered, and alarm data is obtained, the alarm data includes the monitoring type and monitoring data of the newly createdinstance.