49results about How to "Keep abreast of the operation status in time" patented technology

The invention discloses a monitoring data collecting terminal of a photovoltaic power station and a monitoring data system. The monitoring data collecting terminal comprises a data collecting module, a storage module, a data processing module, a remote communication module and a power module. The data collecting module is used for collecting working parameters of the photovoltaic power station every preset time, and the data processing module is used for conducting classified and graded storage on the data collected by the data collecting module, conducting filtering on the normal data and sending a message notice if abnormal data exist. The remote communication module sends the message notice to a remote control device. Thus, the requirement for monitoring the data of the power station remotely of a user is guaranteed, and the effect that the photovoltaic power station runs safely and stably on the unattended condition is realized; operation data of the photovoltaic power station and weather information of the photovoltaic power station are sent to the remote control device so that a user can comprehensively know and timely grasp the operation situations of all links of the photovoltaic power station, and safe operation of the photovoltaic power station can be guaranteed.

The invention discloses a real-time tunnel boring machine (TBM) hob abrasion monitoring device based on an inductive displacement transducer. The device is characterized in that the inductive displacement transducer is installed in a transducer base, a lead pin is connected onto the inductive displacement transducer, and the internal gap of the transducer base is filled by an AB glue. A zirconia protection sleeve and the transducer base are installed in a transducer positioning sleeve, and a waterproof rubber ring is assembled in a groove of the transducer positioning sleeve. A small waterproof rubber ring is sealed between the zirconia protection sleeve and the transducer positioning sleeve, and a large waterproof rubber ring is sealed between the zirconia protection sleeve and the transducer base. The transducer positioning sleeve is installed into round holes in the middle of the side surfaces of a cutter head reinforcing plate and a tool apron, and the transducer base and the cutter head reinforcing plate are fixed into a whole through bolts. Hob abrasion signals which are detected by the inductive displacement transducer are processed by a signal transformer and then transmitted in a wireless manner. The device can be suitable for severe working environments of a hob and monitors the hob abrasion in real time.

The invention provides a boiler system. The boiler system carries out automatic control according to the mass of discharged sewage and the amount of water input into a boiler. A monitoring diagnosis controller is in data connection with a cloud server, so that monitored data are transmitted to the cloud server, the cloud server is connected with a client side, and the client side can obtain the monitored data by means of the cloud server. By means of the client side, the sewage discharge operation condition can be mastered in time, sewage discharge parameters can be adjusted in time, and the situation that due to sewage discharge faults of the boiler, a large amount of heat wastes is avoided.

The invention provides a business and equipment operation and maintenance monitoring system which comprises monitoring equipment for configuring communication parameters and monitoring parameters of a monitored object, analyzing interaction information according to the monitoring parameters to judge whether the monitored object is abnormal or not, and transmitting an abnormity notice in the case of abnormity, a service platform which is used for receiving the interaction information and the abnormity notice from the monitoring equipment and then judging whether the monitoring equipment is under a standalone working mode or not, then judging that the monitoring equipment is under a networking working mode if the monitoring equipment is not under a standalone working mode, and pushing the abnormity notice to a message notifying platform in a mode of presetting the abnormity notice, and the message notifying platform which is used for communicating with the service platform and is used for transmitting the abnormity notice to remind users. The monitoring system disclosed by the invention can directly participate in information interaction with the monitored object by virtue of the monitoring equipment, so as to achieve a monitoring service at any time and any place and to master the running status of the monitored object timely; therefore, the running situation of a business system can be understood and fed back timely.

The invention relates to an under-mine equipment monitoring alarm system based on the face recognition technology. The system comprises a monitoring camera, a video image processing module, a face recognition mainframe, an alarm management module and an information receiving terminal. The monitoring camera is used for acquiring face video images and transmitting acquired face video images to the video image processing module for processing of the video images, the video image processing module transmits the processed face images to the face recognition mainframe, the face recognition mainframe is used for comparison and recognition processing of the face images according to a pre-stored cruising personnel face database and transmitting match information to the alarm management module through a computer network, and the alarm management module sends the match information to the information receiving terminal. The under-mine equipment monitoring alarm system based on the face recognition technology is capable of monitoring under-mine equipment and is safe, quick and convenient, and mine checking efficiency can be beneficially improved to effectively reduce coal mine accidents.

The invention provides a boiler system, comprising a steam drum, wherein the steam drum further comprises a water quality analyzer for measuring water quality in the steam drum, the water quality analyzer is in data connection with a monitoring and diagnosis controller for receiving measured data, opening control is performed on a pollution discharge valve according to the measured data; if a certain measured index exceeds an upper limit of data, the monitoring and diagnosis controller can automatically adjust the opening of the pollution discharge valve to be wider according to a valve adjustment device; if a certain measured index is lower than the upper limit of the data, the monitoring and diagnosis controller can automatically adjust the opening of the drain valve to be smaller according to the valve adjustment device, the monitoring and diagnosis controller is in data connection with a cloud server, so that the monitored data can be transmitted to the cloud server connected with a client, and the client can obtain the monitored data through the cloud server. According to the client provided by the invention, the running condition of boiler pollution discharge can be timely grasped, pollution discharge parameters can be timely adjusted by the client, and a large amount of heat energy waste caused by boiler pollution discharge malfunction can be prevented.

The invention relates to a street lamp intelligent monitor, which comprises a street lamp monitoring host computer, a main chip, and group electrically connected with the main chip and including a power supply module, a learning circuit, a GPRS communication module, a GPS positioning module, a dimming circuit, a memory, a voltage sampling circuit, a current sampling circuit, a leakage current sampling circuit and an alarm signal circuit. The GPRS communication module is used for receiving and sending the data of the main chip. The street lamp monitor host computer is connected with the main chip through the GPRS communication module. The learning circuit added in the invention can send a certain percentage of current learning commands through the street lamp monitoring host computer or a key operation, After 10 minutes of learning, the current learning module determines the fault current reference value, when the actual current value is less than the fault current reference value in future operation, the current learning module generates the fault information of street lamps and reports the warning information of street lamps.

The invention provides an automatic control boiler system. The system comprises a monitoring diagnosis controller and a boiler; a steam drum comprises a water quality analyzer; the water quality analyzer comprises a PH value testing unit for measuring the PH value of water in the steam drum; the water quality analyzer is in data connection with the monitoring diagnosis controller to receive measured PH data; the boiler termly discharges pollutions; the pollution discharge speed is kept invariable; a central diagnosis monitor automatically sets a pollution discharge time according to the measured PH value to automatically control the pollution discharge quantity; the monitoring diagnosis controller is in data connection with a cloud server for transferring monitored data to the cloud server; the cloud server is connected with a client; and the client can obtain the monitored data through the cloud server. Through real-time monitoring of the PH data of each boiler, the pollution discharge time is automatically adjusted according to a dynamic proportional relation; the client can timely master the operation conditions of a boiler pollution discharge system; and pollution discharge parameters are adjusted timely through the client to prevent a lot of heat energy wastes caused by faults of the boiler pollution discharge system.

The invention discloses a network security management method and device based on a firewall log, and a medium. The method comprises the following steps: acquiring flow log data and threat log data of a firewall from an HDFS (Hadoop Distributed File System); based on Hive, performing multi-dimensional static analysis on the historical traffic log data through Spark SQL, and determining a first analysis result; based on Kafka, in a preset time interval, performing multi-dimensional dynamic analysis on the online traffic log data through Spark Streaming, and determining a second analysis result; performing risk analysis on the threat log data through a set multi-classification SVM model to determine a third analysis result; and performing security management on the network of the firewall according to the first analysis result, the second analysis result and the third analysis result. When network security management is carried out through firewall logs, a log analysis platform of a Spark distributed memory computing framework is constructed, and in combination with technical components such as Hive, Spark Streaming and Kafka, processing of massive log data can be efficiently completed, and the network security management efficiency is improved.

A management method for reinsurance business, comprising the steps of, S1, establishing a first-level management interface, and setting add, delete, and modification buttons in the first-level management interface, and establishing a tree-shaped reinsurance business list according to the newly added items; S2 , Establish a second-level management interface, and set up topology, real-time analysis, tools, and report statistics buttons in the second-level management interface; when the item in the reinsurance business list is selected, the selected item can be edited by adding, deleting, and modifying buttons Delete or modify operations. The present invention can add, modify, and delete the reinsurance business information, and it provides topology establishment, real-time analysis, tools, and report statistics buttons in the secondary management interface, and can edit the reinsurance topology view, and can The reports and statistics of the relevant data of the reinsurance business provide users with a timely grasp of the operation of the reinsurance business, provide interface support, and realize the automatic report of the reinsurance business data.

The invention relates to a seawater desalination system, belongs to the field of new energy resources, and in particular relates to a wind and light storage complementary container-type intelligent microgrid seawater desalination system. The system provided by the invention integrates an intelligent microgrid system and a seawater desalination system into a container which is easy to assemble andtransport, and utilizes advanced control strategies and small-capacity energy storage; and the system combines a wind and light storage complementary intelligent microgrid with seawater desalination to break technical difficult problems that new energy resources are instable, thereby causing impact on equipment and the like, and provides a stable power source for seawater desalination equipment tomake the equipment works stably.

The invention discloses a real-time monitoring system for corrosion under a thermal insulation layer. The system is applied to heat preservation equipment and pipeline construction. The system comprises at least one set of preassembled test pieces, an intelligent information acquisition device, a data transmission device and a central host, the preassembled test pieces are arranged in a thermal insulation layer in thermal insulation equipment and a pipeline and is in data connection with the intelligent information acquisition device, the intelligent information acquisition device is used foracquiring data information of the preassembled test piece and transmitting the data information to the central host through the data transmission device, and the central host carries out prompting andearly warning after analyzing the data information. The corrosion real-time monitoring system has the advantages of being independent, convenient to install and high in automatic control.

The invention relates to an intelligent cooperative control method and system for power grid operation monitoring and source network load storage. A power grid system operation monitoring platform isestablished, the structure of the platform is mainly divided into a data interaction and acquisition module and an operation state monitoring module, and the readability and operability of system dataare enhanced through the combination of the data interaction and acquisition module and the operation state monitoring module. The data monitored by the platform is calculated and analyzed through acomposite intelligent algorithm of a fuzzy theory, a quantum behavior particle swarm algorithm and a consistency algorithm, an optimal cooperative control strategy is intelligently matched, and therefore, the dynamic adjustment of the system is achieved. The data in the platform can be comprehensively and visually displayed through a visual output terminal, the optimal result of a composite intelligent cooperative control unit is finally calculated, the optimal result comprises a load curve, power plant output, marginal cost and other information, and the downloading and storage functions of an intelligent cooperative control scheme are achieved. According to the method and the system, the working efficiency of power grid regulation personnel and the system operation efficiency can be improved, and a thought is provided for realizing the scientization of the intelligent operation and management of the power grid.

The invention provides a cloud-computing boiler blow-off system. According to the cloud-computing boiler blow-off system, automatic control is carried out according to the amount of steam generated by boilers and the amount of water input to the boilers, the boilers are periodically subjected to blow-off operation, and a central diagnosis monitor automatically sets the blow-off amount according to the ratio of the mass of the steam to the mass of the water input to the boilers; and the monitoring diagnosis controller is in data connection with a cloud server so that the monitored data can be transmitted to the cloud server conveniently, the cloud server is connected to a client side, and the client side can obtain the monitored data through the cloud server. According to the cloud-computing boiler blow-off system, the amount of the input water and the amount of the generated steam of each boiler are monitored in real time so that the dynamic ratio relation of the amount of the input water and the amount of the generated steam can be obtained, the blow-off amount of the boilers can be automatically calculated according to the dynamic ratio relation, the blow-off time and the blow-off speed can be adjusted according to the blow-off amount, the operation condition of the boiler blow-off system can be timely mastered by the client side, the blow-off parameters can be adjusted timely through the client side, and therefore a large amount of heat energy waste caused by faults of the boiler blow-off system can be prevented.

The invention discloses an intelligent interconnection monitoring system for a smart machine room, and the system comprises: an intelligent equipment unit which is mounted in IT hardware equipment in the smart machine room; a monitoring acquisition unit which is used for monitoring inside and outside of the smart machine room in real time; and an environment monitoring system. An internal environment monitoring unit is arranged in an intelligent equipment unit, an external environment monitoring unit is arranged in the smart machine room, the internal temperature change of the intelligent equipment unit is detected through a first temperature sensor in the internal environment monitoring unit, and the smoke condition in the intelligent equipment unit is detected through a smoke sensor; circuit states of electrical components in the intelligent equipment unit are detected through a current and voltage detector, internal temperature changes of the smart machine room are detected through an external environment monitoring unit, and water inflow conditions in the smart machine room are detected through a humidity sensor, so that synchronous monitoring of internal and external environments of the smart machine room and working states of the intelligent equipment unit is realized; and the machine room condition and the equipment operation condition can be timely mastered.

The invention discloses an intelligent identification system and method for dangerous source points of an overhead power transmission line. According to the system, a monitoring area can be monitoredin real time through an intelligent terminal, video image information of the monitoring area is collected, dangerous source points in the video image information are recognized, and the recognized dangerous source points are marked as alarm objects; the video image information is transmitted to an image analysis and storage system; and the image analysis and storage system splices all video imageinformation with alarm objects into a danger source point alarm video file, and sends the danger source point alarm video file and position information of the alarm objects in the danger source pointalarm video file to a mobile terminal of a line inspector through the information control system. Therefore, the operation condition of the power transmission line can be mastered in time under the condition that line inspectors are in shortage, and safe operation of the power transmission line is further ensured.

The invention provides an automatic control boiler system. The system performs automatic control according to the quantity of steam generated by a boiler and the quantity of water input into the boiler; the boiler termly discharges pollutions; a steam drum comprises a water quality analyzer for measuring the quality of the water in the steam drum; the water quality analyzer is in data connection with a monitoring diagnosis controller for receiving measured data; the boiler termly discharges pollutions; a central diagnosis monitor stores a reference data PH value J, the pollution discharge time T and the pollution discharge speed V; the reference data is the pollution discharge quantity V*T satisfying the demand when the PH value of water in the steam drum is J; and the boiler achieves a function of automatically correcting the reference data according to the measured PH data in the steam drum. The boiler also achieves the function of automatically correcting the reference data; the reference data is automatically corrected according to the detected water quality pollution discharge conditions to guarantee the control accuracy; a client can timely master the operation conditions of a boiler pollution discharge system; and pollution discharge parameters are adjusted timely through the client to prevent a lot of heat energy wastes caused by faults of the boiler pollution discharge system.

The invention provides a boiler system. A water quality analyzer is installed on the sewage pipe to measure the water quality in the sewage pipe. The water quality analyzer is connected with the monitoring and diagnosis controller to receive the measured data, and according to the measured data, the The opening of the blowdown valve is controlled. If a measured index exceeds the upper limit of the data, the monitoring and diagnostic controller automatically increases the opening of the blowdown valve through the valve adjustment device; if a measured index is lower than the upper limit of the data, the monitoring and diagnostic control The controller automatically adjusts the opening of the blowdown valve through the valve adjustment device; the monitoring and diagnostic controller is connected with the cloud server data, so that the monitored data is transmitted to the cloud server, the cloud server is connected with the client, and the client can obtain it through the cloud server. Monitored data. The device of the invention can grasp the operation status of the blowdown of the boiler in time, and can adjust the blowdown parameters through the device in time, so as to prevent a large amount of waste of heat energy caused by the failure of the blowdown system of the boiler.

The invention discloses a distribution box capable of automatically cooling and illuminating, which includes a device body, A switch box door is arranged on that out surface of the main body of the device, a handle is arranged on one side of the outer surface of the door of the distribution box, the distribution box capable of automatically cooling and lighting, A temperature sensor and a temperature display are provided, the temperature sensor detects the temperature inside the main body of the Nengjiang device, after the micro motor 4 arranged in the device is started by the heat dissipationbutton, A heat dissipation fan can be driven to rotate, so that the excess heat generated in the main body of the device due to the work of the equipment is discharged through the heat dissipation hole, so as to protect the equipment inside the device main body, At that same time, the LED lamp arrange in the device main body also illuminates the inside of the device main body when the illumination condition is not good at night, so that the us can conveniently observe the inside of the device main body and the operation is more convenient.

The invention provides a cloud-computing boiler blow-off system. According to the cloud-computing boiler blow-off system, automatic control is carried out according to the amount of steam generated by boilers and the amount of water input to the boilers, the boilers are periodically subjected to blow-off operation, and a central diagnosis monitor automatically sets the blow-off amount according to the ratio of the mass of the steam to the mass of the water input to the boilers; and the monitoring diagnosis controller is in data connection with a cloud server so that the monitored data can be transmitted to the cloud server conveniently, the cloud server is connected to a client side, and the client side can obtain the monitored data through the cloud server. According to the cloud-computing boiler blow-off system, the amount of the input water and the amount of the generated steam of each boiler are monitored in real time so that the dynamic ratio relation of the amount of the input water and the amount of the generated steam can be obtained, the blow-off amount of the boilers can be automatically calculated according to the dynamic ratio relation, the blow-off time and the blow-off speed can be adjusted according to the blow-off amount, the operation condition of the boiler blow-off system can be timely mastered by the client side, the blow-off parameters can be adjusted timely through the client side, and therefore a large amount of heat energy waste caused by faults of the boiler blow-off system can be prevented.

The invention relates to a dual-backup network light control desk and a control method. The light control desk comprises a plurality of groups of data source input modules, two same core integrated processors and an output module, wherein each group of data source input modules at least consists of two or more control units; the data source input modules are connected with the two core integrated processors respectively; each core integrated processor backs up data transmitted by each data source input module and operates backup data; the two core integrated processors are connected with the output module respectively; operation results of the two core integrated processors are compared with each other and transmitted to the output module so as to output a corresponding command. Accordingly, embedded core integrated processors are used for replacing a conventional PC system computer, so low cost is achieved and problems existing in the conventional PC system computer are solved. Simultaneously, the two core integrated processors can be used for achieving dual-backup network connection to meet the requirement of real-time detection of data synchronization well, so that a lighting engineer can know the running conditions of a console.

The invention discloses a real-time monitoring system for corrosion under a thermal insulation layer, which is used in the construction of thermal insulation equipment and pipelines. In the thermal insulation layer in the thermal insulation equipment and pipeline, and data connection with the intelligent information acquisition device, the intelligent information acquisition device is used to collect the data information of the pre-installed test pieces, and transmit the data information to the central host through the data transmission device, and then The central host will prompt and warn after analyzing the data information. The corrosion real-time monitoring system of the invention has the advantages of system independence, easy installation and high automatic control.

The invention provides an automatic control boiler system. The system comprises a monitoring diagnosis controller and a boiler; a steam drum comprises a water quality analyzer; the water quality analyzer comprises a PH value testing unit for measuring the PH value of water in the steam drum; the water quality analyzer is in data connection with the monitoring diagnosis controller to receive measured PH data; the boiler termly discharges pollutions; the pollution discharge time is kept invariable; and a central diagnosis monitor automatically sets a pollution discharge speed according to the measured PH value to automatically control the pollution discharge quantity. Through real-time monitoring of the PH data of each boiler, the pollution discharge quantity of the boiler is automatically calculated according to a dynamic proportional relation; the pollution discharge speed and the pollution discharge time are adjusted according to the pollution discharge quantity; a client can timely master the operation conditions of a boiler pollution discharge system; and pollution discharge parameters are adjusted timely through the client to prevent a lot of heat energy wastes caused by faults of the boiler pollution discharge system.

The invention provides a boiler system capable of achieving automatic blowdown according to the steam-water ratio. The boiler system conducts automatic control according to the quantity of steam generated by a boiler and the quantity of water delivered into the boiler. According to the boiler system capable of achieving automatic blowdown according to the steam-water ratio, intelligent blowdown can be conducted, and a large amount of heat energy waste caused by blowdown faults of the boiler is prevented.

The invention provides an automatic control boiler system. The system comprises a monitoring diagnosis controller and a boiler; a steam drum comprises a water quality analyzer; the water quality analyzer comprises a PH value testing unit for measuring the PH value of water in the steam drum; the water quality analyzer is in data connection with the monitoring diagnosis controller to receive measured PH data; the boiler termly discharges pollutions; the pollution discharge speed is kept invariable; a central diagnosis monitor automatically sets a pollution discharge time according to the measured PH value to automatically control the pollution discharge quantity; the monitoring diagnosis controller is in data connection with a cloud server for transferring monitored data to the cloud server; the cloud server is connected with a client; and the client can obtain the monitored data through the cloud server. Through real-time monitoring of the PH data of each boiler, the pollution discharge time is automatically adjusted according to a dynamic proportional relation; the client can timely master the operation conditions of a boiler pollution discharge system; and pollution discharge parameters are adjusted timely through the client to prevent a lot of heat energy wastes caused by faults of the boiler pollution discharge system.

The invention provides a method and a device for intelligently detecting the light quality of a beacon light, belonging to the technical field of beacon measurement. The method adopts long-distance imaging and tracking to track the position of the beacon light in real time and remotely acquire the light signal of the beacon light; The optical signal obtained remotely is separated by the wavelength of the optical signal of the beacon light by the modular spectrometer, and the characteristic wavelength of the beacon light to be measured is extracted from it; In the identification algorithm, a background identification algorithm is designed to eliminate interference, and conduct on-site detection and identification of the light quality of the beacon beacon. Realize the effective tracking of the light signals of fixed mobile beacons on land and mobile beacons at sea. Each device is integrated with a portable instrument, which is convenient to carry and improves the practicability of on-site detection. It can be easily carried to the operation site of the beacon light, and conduct accurate on-site inspection of the light quality of the beacon light, so as to grasp the operation of the beacon light in time.

The invention relates to a dual-backup network light control desk and a control method. The light control desk comprises a plurality of groups of data source input modules, two same core integrated processors and an output module, wherein each group of data source input modules at least consists of two or more control units; the data source input modules are connected with the two core integrated processors respectively; each core integrated processor backs up data transmitted by each data source input module and operates backup data; the two core integrated processors are connected with the output module respectively; operation results of the two core integrated processors are compared with each other and transmitted to the output module so as to output a corresponding command. Accordingly, embedded core integrated processors are used for replacing a conventional PC system computer, so low cost is achieved and problems existing in the conventional PC system computer are solved. Simultaneously, the two core integrated processors can be used for achieving dual-backup network connection to meet the requirement of real-time detection of data synchronization well, so that a lighting engineer can know the running conditions of a console.

The invention provides a boiler system. According to the system, automatic control can be performed according to the amount of steam generated by a boiler and the amount of water input to the boiler, the boiler is subjected to sewage discharge periodically, the sewage discharge speed is kept unchanged, a central diagnosis monitor automatically sets the sewage discharge speed according to the ratio of the mass of the steam to the mass of the water input to the boiler and is in data connection with a cloud server so as to transmit monitored data to the cloud server, the cloud server is connected to a client side, and the client side can obtain the monitored data through the cloud server, manually inputs the sewage discharge speed according to the obtained data, transmits the data to a monitoring and diagnosing controller through the cloud server and manually adjusts the sewage discharge amount through the monitoring the diagnosing controller. The system has the advantages that the input water quantity and the generated steam quantity of each boiler are monitored in real time, the dynamic ratio relation of the input water quantity and the generated steam quantity is obtained, the sewage discharge amount of the boiler can be automatically calculated according to the dynamic ratio relation, the sewage discharge speed can be adjusted according to the sewage discharge amount, the operation condition of a boiler sewage discharge system can be timely mastered by the client side, the sewage discharge parameters can be adjusted timely through the client side, and a large amount of heat energy waste caused by faults of the boiler sewage discharge system can be prevented.