34results about How to "Realize integrated monitoring" patented technology

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 relates to a monitoring analysis system and method for an operation state of an enterprise information system, belongs to the technical field of monitoring analysis, and solves the problems that the operation state of the system is difficult to visualize, an alarm event is inaccurate, an alarm source is difficult to position and an alarm root cause is difficult to analyze in the prior art. The monitoring analysis system comprises a management module, a monitoring module and an alarm module, Wherein the management module is used for displaying, adding, deleting and modifying configuration information of all monitored information systems, and setting alarm strategies and user authorities; The monitoring module is used for collecting the operation state information of all the monitored information systems in real time, performing data preprocessing on the operation state information, and displaying the operation state information of the monitored information systems and corresponding preprocessing results in real time; And the alarm module is used for comparing the pre-processing result with a preset index threshold value according to an alarm strategy, generating a plurality of pieces of multi-stage alarm information, further analyzing the multi-stage alarm information to obtain accurate system alarm, and displaying the accurate system alarm in real time.

The invention discloses a voltage monitoring data platform, and relates to the technical field of electric variable monitoring devices or methods. The platform comprises a voltage monitoring system, a big data platform, and a relation database. The big data platform is used for collecting the voltage data of a metering automation system, the voltage data of the dispatching automation system and the voltage data of a voltage detector, and transmits the voltage data to the voltage monitoring system for processing through corresponding interfaces. The relation database is used for collecting the data of the relation between the voltages and other parameters of a power marketing system, a distribution network production system, a distribution network GIS platform and a data resource system, and transmits the relation data to the voltage monitoring system through the corresponding interfaces. The voltage monitoring system carries out the monitoring and evaluation of the voltages according to the data transmitted by the big data platform and the relation database. The platform can achieve the monitoring of various types of voltage data, and provides reliable, complete and accurate voltage data support for related system application functions.

The invention provides a lead-acid storage battery online monitoring, maintenance and early warning system and a performance evaluation method. The system comprises an S7400CPU module, an ET200 distributed IO, a direct current voltage transmitter, a direct current current transmitter, a PT100 temperature sensor, an internal resistance testing switch, a series resistor, a battery charging switch and a battery charging system. The method analyzes the failure performance of a storage battery based on a control model method of an artificial neural network control and ECS expert self-learning control system. The system is free of a single-chip microprocessor control chip and employs the Siemens S7400PLC and the distributed IO mode thereof and the transmitter mode is employed to convert collected signals to standard signals for PLC input; a comprehensive test analysis model for storage battery performance evaluation is put forward; the analysis model integrates methods for testing the voltage, the dispersion of the voltage and the internal resistance of a storage battery to perform analysis and evaluation of current performance of a storage battery, so that accurate storage battery performance parameter values can be obtained.

Disclosed is a GTiBee technology-based intelligent illumination street lamp high-efficiency and energy-saving management system and method. A wireless sensing network communication technology is utilized to connect a server and a street lamp monitoring terminal. Integrated monitoring of all parameters of a street lamp is achieved, and fine management of street lamp energy consumption, pre-diagnosis of street lamp faults, and low-cost and high-reliability centralized management of an urban street lamp system are also achieved.

The invention provides a highway tunnel operation management and control system. The highway tunnel operation management and control system comprises an intelligent tunnel operation management and control platform, a comprehensive monitoring system, an emergency cooperative command system, a data analysis and auxiliary decision making system, a communication system and a platform management system. The intelligent tunnel operation management and control platform is connected with the comprehensive monitoring system, the emergency cooperative command system and the data analysis and auxiliary decision-making system through the communication system and is used for operation of managers. The comprehensive monitoring system is used for monitoring the running states of all facilities in the tunnel in real time; the emergency cooperative command system is used for linking various facilities in the tunnel to quickly process according to a plan when an accident occurs in the tunnel; the data analysis and auxiliary decision-making system is used for tunnel operation state evaluation, safety management decision support, operation data statistical analysis and thematic decision support; and the platform management system is used for managing basic information, electromechanical equipment, system logs, alarm records and telephone recording in the system.

The invention discloses a comprehensive monitoring method for a regional road traffic system in a cross-scale aerial platform and belongs to the field of aviation monitoring. The method specifically comprises steps that firstly, a semantic segmentation model and an object detection model are trained based on the convolutional neural network; images are acquired by an airship in real time in the monitoring area, a video after frame extracting is sent to the semantic segmentation model frame by frame for processing, and abnormal regions existing in each frame image are manually distinguished andlabeled; secondly, for a current frame image, the labeled adjacent abnormal regions are merged into a whole piece detection region, and a drone is assigned to the detection area; each drone goes to adesignated detection area, and the object detection model is utilized to perform detailed detection of low-altitude monitoring; and lastly, the abnormal position is determined, messages are uploadedand returned back to the airship, and corresponding warning or processing is performed. The method is advantaged in that through a cooperative work mode of the airship and the drone, the monitoring area is monitored roughly and in details, and complete coverage of the monitoring area is realized through relatively small cost.

The invention discloses a ship-shore integration monitoring system and an operating state identification method of a marine incinerator. The ship-shore integration monitoring system comprises a ship monitoring system, a Beidou satellite navigation system and a shore application system; the ship monitoring system is connected with the shore application system through the Beidou satellite navigation system; the ship monitoring system is used for collecting and displaying operating parameters and a working process real-time monitoring video of the marine incinerator; the Beidou satellite navigation system is used for transferring data collected by the ship monitoring system to the shore application system; the shore application system is installed in a maritime affairs management department and a ship management company, and is used for related personnel of the maritime affairs management department or the ship management company to monitor, analyze and judge the data collected by the ship monitoring system, and thus to identify whether a sailor has an aberrant behavior. By employing a message function of the Beidou satellite navigation system, accurate real-time monitoring is carried out on the marine incinerator, and the aberrant behavior of the sailor who pollutes the marine environment can be precluded effectively.

The invention relates to the field of artificial intelligence, and discloses an interface calling monitoring method, device and equipment and a storage medium; the method comprises the steps: receiving an interface calling instruction which is sent by a client and is used for calling a communication interface on a providing end, and on the basis of the interface calling instruction, acquiring calling data and / or interaction data generated in the process of calling the communication interface, generating a queue message according to the calling data and / or interaction data, synchronizing the queue message to a monitoring database for recording, monitoring the queue message in real time, determining an actual calling condition of the communication interface, and judging whether to send an alarm mail or not based on the actual calling condition. The invention also relates to a blockchain technology, and the queue message is stored in the blockchain. According to the invention, the integrated monitoring of calling and data and the monitoring of service operation are realized, and the operability of interface maintenance is improved; thereby achieving interface call monitoring.

The invention discloses a distribution network integrated distribution automation terminal on-line monitoring system and method, comprising a monitoring center system which is connection with at least one terminal information collection system; the terminal information collection system comprises a terminal unit, a signal pool unit and a sender unit which are successively in connection. Through network-wide monitoring, the system and method can give early warning, deal with situations in advance, and perform network-wide deployment, and solve the problem that most systems of the prior art individually monitor a terminal, and whether the terminal is on line can only be known after a fault occurs; the system and method can realize network-wide integrated supervision, timely discover a terminal with a low on-line rate, and maintain the terminal in advance.

The invention discloses a weir dam emergency monitoring and early warning method based on artificial intelligence and BIM. According to the method, real-time monitoring is conducted through a liquid level meter, an inclination angle sensor and a video monitoring device based on artificial intelligence; the remote sensing unmanned aerial vehicle directionally collects data through oblique photography and laser ranging; the data collected by the former is inputted into a GIS+BIM data processing platform in combination with the data collected by the InSAR and the GNSS; the collected data are continuously trained in advance, a model obtained after deep learning is compared and analyzed, a visual actual model is exported and applied to evaluation of disaster levels after dam break, dam defect three-dimensional position positioning display and flooding range simulation after dam break, and rapid emergency response and subsequent treatment of a dam plug are facilitated. Through the integratedmonitoring network of the sky, the air and the ground, automatic, visual, accurate and integrated monitoring is achieved, a guarantee is provided for monitoring and early warning of the barrage, andmanpower and material resources are saved.

The invention provides a vegetation detection dual-channel fluorescence and laser radar system. The system comprises a laser emission unit, a ranging unit, a scanning unit, a receiving detection unitand a sequential control unit; the laser emission unit emits the ultraviolet laser which is used as the exciting light of the vegetation fluorescence and the ranging laser of the ranging unit at the same time; the laser emission unit produces the ultraviolet which is emitted by the scanning unit; the receiving detection unit separately outputs the ultraviolet laser echo to the ranging unit and processes a fluorescence signal by itself; the receiving detection unit realizes optical focusing by adopting an optical telescope, separates the ultraviolet laser echo by adopting a dichroic lens, and transmits the fluorescence signal; the ultraviolet laser echo and the fluorescence signal respectively enter a photoelectric detector corresponding to two vegetation characteristic wavebands through anoptical splitting module after being coupled through an optical fiber coupling. The dual-channel fluorescence and laser radar system provided by the invention supports the synchronous acquisition ofthe laser point cloud space information and the fluorescence dual-channel information of the vegetation target, and the integrated monitoring on the vegetation space structure and the physiological status is accomplished.

The invention provides an integrated system for monitoring a cable tunnel environment. The integrated system comprises an acquisition device, a monitoring host and a display, wherein the acquisition device is arranged in a cable tunnel and used for obtaining measurement signals of environmental parameters after measuring the environmental parameters of the cable tunnel; the monitoring host is connected with the acquisition device and used for receiving the measurement signals; and the display is connected with the monitoring host and used for converting the measurement signals into measurement data to display. Integrated monitoring of the cable tunnel environment is realized by utilizing the integrated system; workers can simultaneously observe various environmental factors in real time before entering the tunnel, such that potential safety hazards can be avoided; the personal safety of the workers in tunnel construction can be ensured; property loss is reduced; furthermore, the workers can know a practical environment without entering the cable tunnel; and thus, the environmental monitoring difficulty of the cable tunnel can be reduced.

The invention discloses a white spirit storage filling intelligent management method. A wine storage tank is distributed by a controller intelligently, the temperature information in the wine storage tank can be mastered in real time so as to guarantee the storage quality of white spirit; and filling is carried out by adopting a flow meter intelligently, and filling statistical analysis is carried out after filling, and the amount of white spirit is monitored continuously in real time so as to monitor integrally. According to the invention, intelligent automatic control is adopted, so that the work load of workers is reduced greatly, and the white spirit processing efficiency is enhanced.

The invention discloses a rock-fill dam internal and external deformation integrated monitoring method, and the method comprises the steps: collecting rock-fill dam internal deformation data in a compression-resistant flexible pipeline based on a pipeline measurement robot; based on a Beidou / GNSS monitoring system, acquiring rock-fill dam external deformation data at monitoring points; and performing post-processing to obtain an internal deformation monitoring index and an external deformation monitoring index, performing analysis in combination with the internal deformation monitoring index and the external deformation monitoring index to obtain an overall deformation curve, and performing early warning according to curve analysis and a set threshold. The rock-fill dam internal deformation data and dam external deformation monitoring data observed in real time for a long time adopt a unified geographic reference coordinate system to achieve rock-fill dam internal and external deformation integrated monitoring, and meanwhile, by means of a three-dimensional GIS platform, intuitive visual display and multi-period dynamic deduction can be carried out on the internal and external deformation monitoring result of the rock-fill dam and the surrounding landform model, and data support is provided for early warning and forecasting.

The invention discloses a main station and sub-station information comprehensive display method based on a universal service agreement of an electric power system. The universal service agreement of the electric power system is adopted to realize real-time communication of a main station and a sub-station; according to equipment of the main station and the sub-station, graphic files of equipment of multiple plant stations are created; and during access, equipment graphic elements obtained by analyzing the graphic files of the equipment of the multiple plant stations, and received equipment data are displayed on a same display image. Based on the universal service agreement of the electric power system, remote browsing can be performed in data level, so that concentrated display of cross-regional multi-plant-station data on the same image is realized, integrated monitoring of key channels of an interconnected power network is realized, and global sharing of power network operation equipment and synchronous perception of failure exceptions is realized.

The invention discloses a cloud data center Internet of Things management and control and application system. The management and control system comprises a data collection terminal, a center aggregation node and a monitoring management platform, wherein the data collection terminal acquires power environment data in the cabinet and machine room environment data of a machine room environment; forwarding the power environment data and the machine room environment data to a central aggregation node; the central aggregation node aggregates the received data, compresses the data and forwards the data to the monitoring management platform; and the monitoring management platform analyzes the power environment data and the machine room environment data, and gives an alarm when an analysis result shows that the environment is abnormal. Through the data collection terminal, environmental data inside the cabinet can be acquired. Meanwhile, machine room environmental data can also be acquired, andthen the acquired environmental data is analyzed by the monitoring management platform, so that integrated monitoring of the interior of the cabinet and the machine room environment is realized, andthe environmental safety of the cabinet and the machine room is guaranteed.

The invention relates to a wind turbine generator overhead rail type cabin inspection system which comprises an overhead rail arranged in a wind turbine generator cabin. The overhead rail is connectedwith a suspension arm. The suspension arm is driven by an electric device, can move along the overhead rail, and achieves telescopic and rotary motion in the vertical direction. The suspension arm isconnected with a camera holder, and the camera holder is fixedly provided with a bispectrum high-definition camera and an infrared temperature measurement camera. The inspection system further comprises a sound pressure sensor, a smoke sensor and an acceleration sensor which are arranged in the wind turbine generator cabin. The inspection system further comprises a signal acquisition instrument,a wind turbine generator industrial personal computer and a booster station industrial personal computer. According to the system, the functions of video monitoring, fire alarm, vibration monitoring,infrared temperature measurement and the like are integrated, integrated monitoring is realized, fan cabin equipment inspection manual operation can be replaced, the automation level of a wind power plant is improved, the number of wind power plant attendants is reduced, and the reliability of a wind turbine generator is ensured.

The invention discloses a cloud monitoring method and device. The method comprises the steps: collecting monitoring data of a virtual machine in the virtual machine of a private network; transmittingthe monitoring data of the virtual machine to a physical machine where the virtual machine is located; and transmitting the monitoring data of the virtual machine to a monitoring platform through thephysical machine. In the embodiment of the invention, the virtual machine and the physical machine are provided with monitoring agents, and carry out the monitoring of the same VPC and different VPCsat the same time, thereby achieving the unified collection of various indexes of the virtual machine, the unified collection of logs and the unified uploading of event data, and achieving the integrated monitoring of the same VPC network or different VPC networks.

The invention relates to the field of automatic monitoring of landslide disasters, in particular to a landslide deep integrated real-time monitoring device, which comprises an index monitoring column,a data processing box and a power supply unit; the index monitoring column is buried into the deep part of a landslide body to a sliding bed part through a geological drill hole in the landslide surface; the data processing box is riveted above the index monitoring column through an I-shaped bearing component, and a measuring line in the data processing box is connected with the interior of the index monitoring column. The device can monitor the whole-process change of the landslide, can be perfectly suitable for both initial micro displacement and middle and later horizontal large displacement, is large in measurement range and high in precision, can achieve integrated automatic monitoring, can quickly and comprehensively monitor and evaluate the landslide in real time, is high in practicability, and has a good application prospect.

A smart park integrated management system disclosed by the present invention comprises a management system background connected with a cloud platform, the management system background is provided with a plurality of PC terminals for control operation, and the management system background comprises a space management unit used for deploying and managing space elements of a park; the ecological management unit is used for carrying out operation and maintenance management on the ecological environment of the park; the security and protection management unit is used for managing a security and protection system, a fire fighting system and a city lifeline in the park; according to the system, work division is refined through a multi-module system, multi-module interactive writing is realized through a management system background, a cloud platform, an internet of things and a mobile network, integrated monitoring, control service, instant and rapid response to park equipment, buildings and the like are realized, the informatization management level of a park is improved, good operation and maintenance are realized, and the system is suitable for popularization and application. And the real-time operation state and health condition of each system are mastered, and faults can be repaired in time and processed in advance, so that long-term efficient operation of the park is guaranteed.

The invention provides an intelligent remote bid evaluation supervision system, and the system comprises an intelligent recruiting platform and an intelligent remote bid evaluation supervision platform which are in communication connection. The intelligent recruiting platform is used for processing a bidding purchasing service; the intelligent recruiting platform comprises a video conference bid evaluation tool, and bid evaluation experts enter a virtual conference room through the video conference bid evaluation tool and carry out remote bid evaluation on preset items in the virtual conference room; and the intelligent remote bid evaluation supervision platform is used for supervising the bid evaluation process of the bid evaluation experts on the preset items. Therefore, bid evaluation experts can conveniently, efficiently and safely enter the virtual conference room to remotely evaluate the preset items through the video conference bid evaluation tool, and the intelligent remote bid evaluation supervision platform is utilized to intelligently supervise the bid evaluation process of the bid evaluation experts on the preset items.

The invention discloses a ship-shore integration monitoring system and an operating state identification method of a marine incinerator. The ship-shore integration monitoring system comprises a ship monitoring system, a Beidou satellite navigation system and a shore application system; the ship monitoring system is connected with the shore application system through the Beidou satellite navigation system; the ship monitoring system is used for collecting and displaying operating parameters and a working process real-time monitoring video of the marine incinerator; the Beidou satellite navigation system is used for transferring data collected by the ship monitoring system to the shore application system; the shore application system is installed in a maritime affairs management department and a ship management company, and is used for related personnel of the maritime affairs management department or the ship management company to monitor, analyze and judge the data collected by the ship monitoring system, and thus to identify whether a sailor has an aberrant behavior. By employing a message function of the Beidou satellite navigation system, accurate real-time monitoring is carried out on the marine incinerator, and the aberrant behavior of the sailor who pollutes the marine environment can be precluded effectively.

The invention discloses a cloud monitoring method and device. The method includes: collecting the monitoring data of the virtual machine in the virtual machine of the private network; transferring the monitoring data of the virtual machine to the physical machine where the virtual machine is located; The monitoring data of the machine is sent to the monitoring platform. In this embodiment, by setting monitoring agents in the virtual machine and the physical machine, the same VPC and different VPCs are monitored at the same time, so as to realize the unified collection of various indicators of the virtual machine, the unified collection of logs, and the unified reporting of event data to achieve the same Or integrated monitoring of different VPC networks.

The application discloses an optical power monitoring component and an optical module. The optical power monitoring component comprises lasers, photoelectric detectors, a fixing device and a circuit board, wherein the lasers at least output forward light for transmitting optical signals and backward light for monitoring optical power; the photoelectric detectors are arranged in one-to-one correspondence with the lasers and are used for receiving the backward light transmitted by the lasers and converting the backward light into electric signals; the photoelectric detectors are fixedly arranged on the fixing device; the fixing device is fixedly arranged on the circuit board; and the circuit board, the fixing device and the photoelectric detectors are electrically connected, and the circuit board receives the electric signals of the photoelectric detectors. According to the optical power monitoring component and the optical module disclosed by the application, the optical power monitoring component monitors the optical power of the lasers through the backward light emitted by the lasers, and thus a simple structure and relatively high component stability can be achieved; and the integrated monitoring of multiple paths of lasers can be achieved through a substrate or multiple contact pins, and the photoelectric detectors are high in installation accuracy.

A sea-land integrated comprehensive management and control platform adopts a three-layer network structure of a data center, an area center and a sub-control center, and the data center, the area center and the sub-control center are coupled through a communication network. The data center is provided with a central application server, a central WEB server and a central database server; the central application server is used for receiving data of the sub-control centers and data of the regional centers and carrying out high-speed caching and data storage services on the data, the central WEB server is used for deploying WEB background services and front-end WEB applications, and the central database server is used for storing management and control platform configuration data and big data analysis results.

The invention discloses an integrated monitoring method for internal and external deformation of a rockfill dam. The monitoring method includes the steps of: collecting and obtaining internal deformation data of the rockfill dam in a pressure-resistant flexible pipeline based on a pipeline measurement robot; based on a Beidou / GNSS monitoring system, The external deformation data of the rockfill dam is collected at the monitoring point; the internal deformation monitoring index and the external deformation monitoring index are obtained after post-processing, and the overall deformation curve is obtained by combining the internal and external deformation monitoring index analysis, and the early warning is given according to the curve analysis and the set threshold . The internal deformation data of the rockfill dam and the long-term real-time observation data of the external deformation monitoring of the dam adopt a unified geographic reference coordinate system to realize the integrated monitoring of the internal and external deformation of the rockfill dam. At the same time, with the help of the 3D GIS platform, the The internal and external deformation monitoring results and the surrounding terrain and landform models are intuitively visualized and multi-period dynamic deduction provides data support for early warning and forecasting.

The embodiment of the invention discloses a power grid voltage monitoring data platform for realizing multi-interface fusion. The power grid voltage monitoring data platform comprises a data acquisition system, a dispatching automation system, a metering automation system, a power production management system, a voltage tester, a data processing server, an integrated platform system and an interface server; the interface server is used for identity authentication and connection with the automation system interface, the metering automation system interface and the voltage tester; the front acquisition server acquires data of the dispatching automation system, the metering automation system and the voltage tester, and an external network switch is used for acquiring data of other front acquisition servers; the front acquisition servers and the external network switch transmit data to the data processing server; the data processing server transmits the processed data to the integrated platform system, and the integrated platform system is used for displaying data and information maintenance.

The invention discloses a comprehensive monitoring method for a regional road traffic system in a cross-scale aerial platform and belongs to the field of aviation monitoring. The method specifically comprises steps that firstly, a semantic segmentation model and an object detection model are trained based on the convolutional neural network; images are acquired by an airship in real time in the monitoring area, a video after frame extracting is sent to the semantic segmentation model frame by frame for processing, and abnormal regions existing in each frame image are manually distinguished andlabeled; secondly, for a current frame image, the labeled adjacent abnormal regions are merged into a whole piece detection region, and a drone is assigned to the detection area; each drone goes to adesignated detection area, and the object detection model is utilized to perform detailed detection of low-altitude monitoring; and lastly, the abnormal position is determined, messages are uploadedand returned back to the airship, and corresponding warning or processing is performed. The method is advantaged in that through a cooperative work mode of the airship and the drone, the monitoring area is monitored roughly and in details, and complete coverage of the monitoring area is realized through relatively small cost.