282results about How to "Respond in a timely manner" patented technology

The invention relates to a network attack event analysis method associated with an alarm log, which comprises the following steps: S1, acquiring an original file of the log and preprocessing the original file; S2, performing abnormity judgment and analysis on the preprocessed original file; establishing an attack rule fingerprint database according to a judgment and analysis result, and graduallyperfecting the attack rule fingerprint database; S3, associating the attack rule fingerprint database with an event of the alarm log; summarizing and combining the linked events, and establishing an alarm event library; and S4, carrying out event response and processing according to the alarm event library. The invention also discloses a network attack event analysis device associated with the alarm log. According to the method and the device, the attack rule fingerprint database can be established, and meanwhile, the attack rule fingerprint database is continuously perfected through a characteristic attribute systematization method, a probability statistics method, a dynamic tracking method and the like, so that different network attack events can be timely handled.

The invention discloses a method for extracting a network interactive behavioral pattern and analyzing similarity, which comprises the following steps: the behavior of a network activity implementer is monitored on a honey-pot host computer; the captured journal information is transmitted to a journal server; the journal server associates journals to a behavior sequence belonging to a particular network activity implementer according to the source address and the process information in the journal information; the behavior sequence of the network activity implementer is pretreated before sequence pattern excavation; the behavior sequence data of the pretreated network activity implementer is processed by the sequence excavation; and the similarity between the network activity implementers is analyzed. By analyzing the similarity between the different network activity implementers, the network activity implementers are deeply associated and researched, which has a certain help for judging the purpose of the network activity implementers, adopting corresponding counter-measure for behaviors such as network attack and the like and obtaining the evidence of network attack.

The invention discloses an airborne weather station apparatus for an unmanned plane, and an application method thereof, wherein the unmanned plane is a hollow multi-rotor unmanned plane. The airborne weather station apparatus includes a weather station outer shell, a weather station pedestal, a power module, a drive module and a control module, wherein the weather station outer shell is fixed at the hollow position of the unmanned plane, and two sides of the inner wall of the weather station outer shell are each provided with a guide rail; gears in the drive module drive rotate to drive gear racks to slide on the guide rails; two ends of the weather station pedestal are respectively fixedly connected with the gear racks; the upper and lower sides of the weather station pedestal are each provided with a meteorological monitoring sensor; the control module returns the acquired data to the ground through a wireless transmission module; and during the working process, when the unmanned plane hovers, the airborne weather station apparatus adjusts the gear racks to stop at different positions on the guide rails, and can eventually obtain the meteorological parameters about different heights in the vertical space for the body of the unmanned plane through the meteorological monitoring sensors. The airborne weather station apparatus for an unmanned plane, and the application method thereof can reduce the influence of a wind field formed by flight of the unmanned plane on the detected data of the weather station, and have the characteristics of being high in monitoring accuracy and being simple and flexible in operation.

The invention provides a data analysis method and system, a computer readable storage medium and an electronic terminal. The method comprises the steps of acquiring service data from at least one service system; establishing a data warehouse according to the service data; and establishing a data analysis system to analyze source data, and providing analysis result information for a decision makerin a visual manner, wherein the source data includes data from the data warehouse. The service data is collected from a plurality of service systems; the data warehouse is established according to theservice data; and visual data analysis result information is provided for the decision maker, so that the decision maker can timely cope with the problems and the operating conditions existent in theoperation process of an enterprise.

The invention discloses a two-stage self-adaptive scheduling method suitable for a large-scale parallel data processing tasks. Two-stage scheduling is performed on tasks from a task stage and a subtask stage. By the method, the problem of parallel scheduling difficulty caused by complex dependence relationship among the tasks is solved effectively, parallelism degree is increased, orderly and efficient parallel processing of large-scale data processing tasks is realized, task waiting or executing time is reduced, and overall executing time is shortened. In addition, by the method, executor operation statistical information can be fed back to a scheduler, self-adaptive adjusting of executor pool size and task type is realized, and scheduling is constantly optimized, so that system resourceusing efficiency is improved.

The invention provides a semantic disambiguation method based on a related word topic. The method comprises the following steps: excavating related words on the basis of the related word topic; numbering each word and establishing a corresponding frequency characteristic vector; calculating mutual information value between words, and regarding mutual information value as the characteristic vector; calculating similarity between words and related word of each word; carrying out semantic disambiguation; accordingly, the invention further provides a semantic disambiguation system based on the related words topic, so as to improve accuracy of disambiguation.

The invention discloses a system and method for processing multimedia information of a sensor network based on an OMAP (Open Multimedia Application Platform). The system for processing multimedia information of the sensor network based on the OMAP is characterized by comprising an ARM (Advanced RISC Microprocessor) and a DSP (Digital Signal Processor) of the OMAP, wherein the ARM is mainly used for controlling the whole system; the DSP is mainly used for processing the multimedia information; and the ARM communicates with the inner part of the DSP through sharing the RAM; a sensor information module, a video information module and an audio information module which are connected with the DSP processor under the control of the ARM microprocessor; and an intermediate- and high-speed transmission interface module, a serial port module, a power management module, a GPS (Global Position System) module, a touch screen module, an upper computer and a WIFI (Wireless Fidelity) module which are connected with the ARM. The system and method for processing multimedia information of the sensor network based on the OMAP disclosed by the invention adopt an OMAP dual-core structure with excellent performance so that multimedia information such as audio/video and various sensor data can be acquired, sent, received and processed in real time; and the system and method for processing multimedia information of the sensor network based on the OMAP disclosed by the invention can be widely applied to fields, such as military reconnaissance, public security and the like as well as have very strong practicability.

The present disclosure relates to a method and device for online deployment of a machine learning model and a storage medium. The method includes exporting an offline first machine learning model to afirst xml file; importing the first xml file into the application platform; recognizing and parsing the first xml file into java class on the application platform and making the java class run on theapplication platform. With the embodiments of the present disclosure, it is possible to provide a solution for deploying the machine learning model to a running application platform.

The invention relates to a security control method for a microgrid under network attacks, and belongs to the field of power grids. The method comprises the following steps: S1, identifying a network attack type, and detecting by utilizing a cumulant-based network attack algorithm; S2, executing a periodic network attack defense decision; and S3, executing a random network attack defense decision.The network attack can be quickly discovered by utilizing the network attack algorithm based on the cumulant, the network attack can be timely dealt with, and the economic loss caused by wrong decision is avoided. An event triggering mode can reduce unnecessary state data transmission, the calculation efficiency is improved, and the utilization of limited communication resources is reduced. Damageof periodic network attacks to the microgrid is solved in time through the zero-pole configuration controller based on event triggering, damage of the microgrid network caused by random network attacks is solved through optimal control, the network attacks are effectively resisted, and normal operation of the microgrid is guaranteed.

The invention provides a control method and a device for a service request. The method comprises the following steps: when a service request is received by a service interface, a Redis server automatically increases the quantity of QPS indexes corresponding to the service interface; when a service request is received by a service interface, the Redis server automatically increases the quantity ofQPS indexes corresponding to the service interface; it is judged whether a QPS index corresponding to the service interface after the number of self-increasing exceeds a preset QPS threshold of the service interface; when the QPS index corresponding to the service interface exceeds a preset QPS threshold value of the service interface, the Redis server returns a first preset error message to a service server corresponding to the service interface, wherein the first preset error message is used to indicate that subsequent service logic is prohibited from being executed for a service request currently received by the service interface. The invention realizes the control of the distributed flow and the timely response to the high concurrent service request, and ensures the atomization of theaccessed service resources.

The invention discloses a vehicle-mounted application containerization isolation framework system based on IPFS and an implementation method, belongs to the technical field of vehicle networking safety, information safety and the like, and solves the potential information safety problem existing in operation and deployment of application software of a vehicle intelligent terminal and a vehicle-mounted system in an existing vehicle networking. The system comprises a unique container platform which is used for vehicle-mounted application installation and is deployed in a vehicle machine system of a vehicle, a decentration monitoring management platform which is used for safety monitoring and software review of a vehicle-mounted application program, and an IPFS protocol which is used for realizing communication between the container platform and the decentration monitoring management platform. The method is used for containerization isolation of the vehicle-mounted application.

The embodiment of the invention discloses a bandwidth adjustment method, device, storage medium and network device. By using the stream point utilization to achieve automatic bandwidth adjustment, theservice ports beyond the bandwidth point cannot be reused. When the flow point is created on the manual aggregation port, for manual aggregation of ports, when the network equipment has spare free ports, the overall bandwidth of the aggregation port is increased during the peak period of network communication, and when the network is idle, the manual aggregation service port members are automatically reduced. When the network resources are short, the high-priority traffic flow is guaranteed to have guaranteed bandwidth, and the automatic management of the network bandwidth of the equipment isrealized through a series of automatic adjustment operations. The invention can solve the problem that the bandwidth of each flow point service flow is adjusted in real time during the peak period oridle period of the network, the network resources can be saved, the performance and utilization rate of the equipment can be improved, the service quality of the data service can be guaranteed, the emergencies can be responded to and prevented in time, and the robustness and reliability of the network equipment can be improved.

The invention discloses a wastewater quality detection system for industrial and agricultural production discharge. The wastewater quality detection system comprises a task release module, a task allocation module, a data acquisition module, a data analysis module, a judgment module, a server, a database, a threat assessment module, an alarm module and a display module; corresponding detectors canbe reasonably distributed for collection according to the collection positions, the data collection efficiency is improved, the alarm module correspondingly prompts the sewage pollution concentrationvalue and the mass concentration of harmful gas, the safety of sewage detection work is improved, and the work efficiency is improved; the threat assessment module is used for acquiring the sewage pollution concentration value RY and the mass concentration PRi of the harmful gas and assessing the pollution concentration value RY and the mass concentration PRi; the threat value ZA is compared witha preset threat value threshold; a threat level is judged; the display module performs different display according to different threat instructions, so that a worker can understand the threat instructions conveniently and more intuitively and can make different responses in time conveniently.

The present invention proposes an image-based pathology analysis system, including: an image capture module, an image processing module, an image recognition module, and a pathological library; the image capture module is carried by a carrier and transported to a detection position in the human body, and the location of the lesion is captured in real time The image processing module receives the image of the lesion captured by the image capture module, and performs image processing on the image of the lesion; the pathological image and the healthy image of the corresponding lesion are stored in the pathology database; the image recognition module compares the image of the lesion output by the image processing module with the pathological image The pathological images and healthy images in the library are image recognized, and the system gives pathological diagnosis results according to the image recognition results. The image-based pathological analysis system of the present invention combines imaging and medical treatment, realizes intelligent diagnosis of lesions and effective allocation of expert resources, and realizes diagnosis of intractable diseases or malignant diseases in remote areas or medically underdeveloped areas.

The invention provides a deep accurate mining ground and underground personnel positioning and navigation system combined with the Internet of Things. The system is composed of a navigation equipmentterminal, a location service base station, a ground monitoring command system, and underground environment monitoring equipment; and the navigation equipment terminal is provided with a visual displayscreen, a micro-control unit, a micro inertial navigation module, a tag identification and positioning module, a GPS module, a multi-sensor detection module, an electronic map navigation module, an early warning module, a communication module and a power supply. According to the deep accurate mining ground and underground personnel positioning and navigation system combined with the Internet of Things provided by the invention, the positioning and navigation of personnel and vehicles in the deep well where a GPS signal is difficult to reach is realized, the location distribution of the underground personnel and vehicles is grasped through a ground monitoring system, so that monitoring and command of the personnel and vehicles are realized; the underground environment is sensed through thecommunication module and the multi-sensor environment monitoring module, so that the occurrence of dangers is prevented; when the dangers occur, people can timely escape and rescue through a communication and positioning and navigation module, thus the life and property safety of the underground personnel and mining area personnel can be guaranteed to the maximum degree.

The invention discloses a home intelligence-based fire safety monitoring and alarm system, which includes a microcontroller and signal amplifiers, execution units, cameras, and gateways respectively connected thereto. The input end of the signal amplifier is connected to a detection unit, and the gateway is connected to a router in turn. , mobile terminal, fire command center. The present invention realizes the monitoring of the safety index of the home environment, and achieves the effect of fire alarm when a fire hidden danger occurs, improves the intelligent level of safety precautions in the home environment, and avoids threats to personal safety and property safety; When customers leave home, they can remotely control and monitor the situation at home through the mobile terminal. If someone steals or gas leaks or catches fire, the microcontroller will send an alarm message to remind the user to take measures in time, and at the same time report to the fire command center through the mobile terminal Make an alarm so that the fire command center can respond to the disaster in time.

The invention discloses a solar inclined single-shaft tracking system which comprises a sensor, a current-to-voltage converter, an analog-to-digital converter, a singlechip, a power amplifier and a stepping motor, wherein the sensor is fixed on a solar panel; the power amplifier amplifies a pulse control signal output by the singlechip; and the stepping motor receives the pulse control signal output and amplified by the power amplifier, and drives a solar battery to rotate according to the indication of the pulse signal. A solar inclined single-shaft tracking method and the solar inclined single-shaft tracking system can enable the solar battery to track the sun at all times, so as to improve the utilization efficiency of solar energy, and a photovoltaic system adopting the method and thedevice has the advantage of high power generation ratio.

The invention provides a transformer substation settling and pole stress monitoring system. The transformer substation settling and pole stress monitoring system comprises an in-station settling monitoring subsystem, a tower pole and surrounding soil mass differential settlement monitoring subsystem, an inclination monitoring subsystem, a structural support stress strain monitoring subsystem, a satellite positioning monitoring subsystem, a data management and display subsystem and a structural safety assessment and early-warning subsystem. All monitoring subsystems can automatically complete data collection, the data management and display subsystem can comprehensively process monitoring information collected and uploaded by all the monitoring subsystems, the functions of classified filing, query, saving and the like of the data are achieved, and monitored information is displayed to a user; besides, sorted data is subjected to settling thorough the structural safety assessment and early-warning subsystem, the safety state of a transformer substation is assessed, the user is assisted in scientific decision making, or the user is informed of timely handling, and a technical supportis provided for safe running of the transformer substation.

The invention provides a scheduling method, a scheduler, a storage medium and a system, and belongs to the technical field of communication. The scheduling method comprises the steps: acquiring an incidence relation graph and data distribution information, wherein each node in the incidence relation graph refers to one piece of data, and each directed edge is used for representing an operation request for calculating according to the data referenced by a source node to obtain the data referenced by a target node; according to a preset node sorting strategy, sequentially positioning the operation requests corresponding to the traversed nodes to any server where the data indicated by the traversed nodes are located; and sequentially scheduling at least one job request represented by at leastone directed edge to the positioned server. For the scheduling method, the incidence relation graph is used for representing the incidence relation between the data and the corresponding relation between the operation requests and the data, and the data distribution information is used for representing the data distribution condition, so that cross-node data transmission can be reduced, the operation execution time of the whole operation request is shortened, and the calculation efficiency is improved, and the system performance is improved.

The embodiment of the invention provides a depth data packet detection method and device and a readable storage medium. Data prediction is carried out on each data stream component in data stream characteristics of a detected data packet, therefore, the threat perception situation of the data stream characteristics in the future unit time can be predicted and classified, so that the threat perception detection can timely respond to the change of the data packet, and the influence of the computer security when the data packet is quickly changed can be reduced.

The invention discloses a reaming device for oil and gas drilling. The device includes a second conical drill bit, first hydraulic telescopic rods, a mounting plate, a mounting shell and a base, wherein telescopic rods are mounted on both sides of the bottom of the base, limit holes are evenly distributed on the telescopic rods, the bottom of the telescopic rods is equipped with fixing pins, walking wheels are mounted at the bottom of the base among the telescopic rods, the top of the base is equipped with a mounting plate through two sets of second hydraulic telescopic rods, and the central position of the bottom of the mounting plate is equipped with the first hydraulic telescopic rods. The device is advantaged in that through the second conical drill bit, the first hydraulic telescopicrods, the mounting plate, the mounting shell and the base, the walking wheels can facilitate the staff to quickly transfer the device according to the actual situation, the hydraulic telescopic rods can be adjusted and lifted according to the working condition, cameras can facilitate the staff to observe the internal drilling situation when the device is in operation, and the device has strong practicability and is worth popularizing.

The embodiment of the invention provides a transient forewarning method and device for a road risk event. The method comprises the steps of receiving a road risk event published by a publisher, determining a forewarning level of the road risk event according to the risk type of the road risk event, determining a forewarning strategy of the road risk event according to the risk type and the forewarning level of the road risk event, and finally feeding the forewarning strategy back to a driver. According to the method and device, the most road risk events can be recognized and forewarned withoutdepending on a plenty of vehicle-mounted equipment or roadside equipment, and the method and device are low in application cost and easy to popularize; meanwhile, aiming at the road risk events withdifferent risk types and forewarning levels, the different forewarning strategies are used for forewarning, the driver is facilitated to accurately and intuitively acquire the information of the roadrisk event, and thus the driver can cope with the road risk event in time, and the occurrence of potential accidents and secondary accidents can be effectively avoided.