11results about How to "Implement data collection" patented technology

The invention discloses a network security early warning method and system based on big data, and relates to the technical field of network security, and the main scheme is that multiple types of data including network traffic, user behaviors, system logs and hardware state data are collected, and then index calculation is carried out based on the data; a network attack risk index, a user data exception risk index, a system security risk index and a hardware fault risk index are calculated, a network security comprehensive risk index is further calculated comprehensively, finally, a network security early warning threshold value is preset, the comprehensive index is compared with the preset network security early warning threshold value, and whether an early warning mechanism is triggered or not is judged according to a comparison result. And generating corresponding early warning information.

The invention provides an attack path restoration method and equipment, which can be applied to the technical field of computers. The method comprises the following steps: monitoring the running state of an application program in each server by using an RASP agent installed on each server, and collecting key data of the application program in the running process; when an attack event is detected, alarm information is generated according to the key data, and a target server having an association relationship with the attack event in the servers is determined according to the alarm information; generating a server attack path according to the interaction relationship among the plurality of target servers; and generating an attack path corresponding to the attack event according to the server attack path and each component in the target server. According to the method, the attack path of the attack event can be quickly and accurately restored.

The utility model provides motion sickness monitoring equipment based on multiple sensors, which is characterized in that a sensor group comprising a body temperature sensor, a galvanic skin sensor, a pulse sensor and a motion sensor is arranged on a wearing carrier and is electrically connected with a control circuit board, and meanwhile, the control circuit board is electrically connected with a power supply; the body temperature sensor, the galvanic skin sensor, the pulse sensor and the motion sensor are used for collecting body temperature, galvanic skin, heart rate and motion state information of a person to be monitored, and the collected information serves as objective judgment conditions for follow-up motion sickness prediction, so that the problem that prediction accuracy is affected by too many subjective factors in an existing inquiry mode can be avoided; the dynamic motion sickness monitoring system can monitor motion sickness in real time, can provide prediction conditions in time under the condition that appearance features are not obvious, meets early and timely monitoring requirements of motion sickness, reduces influences on monitored personnel, can meet continuous dynamic monitoring use requirements, realizes data collection, and provides data support for research on motion sickness by detecting a database in the future.

The invention discloses a marine environment monitoring and early warning method and system based on big data, and relates to the technical field of marine environment monitoring, and the method comprises the steps: collecting environmental data in real time through a sensor in a monitoring station, and transmitting the environmental data to a database; acquiring the position information of each monitoring station by using a positioning technology, and calculating the distance between the randomly selected reference monitoring station and the corresponding comparison monitoring station; analyzing the change trend of the environment data, and determining the propagation speed of the abnormal environment data based on an analysis result; calculating the arrival time of the abnormal environment data propagated from the reference monitoring station to the comparison monitoring station by using a linear propagation algorithm in combination with the distance and the propagation speed; and setting alarm starting time according to the arrival time, and issuing alarm information. According to the invention, the real-time monitoring and data collection of the marine environment are realized through the deployment of the monitoring stations and the integrated sensor technology, and a comprehensive and accurate information basis is provided for subsequent data analysis and early warning.

The novel beacon vessel comprises a base and further comprises a water flow power generation device and a solar power generation device which are installed on the base, the base is arranged to be cylindrical, a notch is formed in the middle of the base, an impeller of the water flow power generation device overhangs in the notch to rotate, and the cylindrical base rotates in real time in the water flow direction. A solar power generation device is mounted on the top surface of the base at the rear part of the notch, and is provided with a foldable turnover mechanism, so that a solar panel of the solar power generation device is always positioned at the optimal sunlight receiving angle; multi-source power generation is achieved through the water flow power generation device and the solar power generation device, redundant electric energy is stored for standby application and delivery while power is supplied to the beacon light and other electric equipment on the device, real-time data acquisition is achieved through the camera and the light induction sensor, and the device is simple and compact in structure, reliable in operation, low in cost, convenient to install and high in practicability. Power generation is stable and efficiency is high.

A paddy field automatic irrigation and drainage control system based on a cloud platform and Internet of Things belongs to the technical field of water conservancy facilities. The system is characterized by comprising a water level sensor, a control box body, a cloud platform, a service gate and the like. The control box body comprises a LoRa module, a gateway element, a power supply controller and a control circuit. The LoRa module receives water level data sent by the water level sensor, receives a control instruction sent by the cloud platform through the gateway element and sends the control instruction to the electric control opening and closing water retaining gate through the control circuit, and the electric control opening and closing water retaining gate receives the control instruction sent by the LoRa module and adjusts the opening degree of the gate. According to the utility model, on-site unattended management conditions can be satisfied, mobile terminal network domain control is realized, and technical support is provided for unmanned irrigated areas and unmanned farms.

The present invention discloses a peanut harvester clamping and conveying hydraulic drive system and a method for preventing blockage, comprising an engine, a variable pump, a safety valve, a directional control valve, a flow control valve, a flow sensor, a hydraulic motor, a pressure sensor, a speed sensor and a central control unit, wherein the engine is connected to the variable pump to drive the variable pump to operate, the variable pump is connected to the directional control valve, the directional control valve is connected in series with the flow control valve, the flow sensor, the pressure sensor and the hydraulic motor in sequence, the speed sensor is installed on the output shaft of the hydraulic motor, the central control unit is a total control unit, and is electrically connected to the variable pump, the directional control valve, the flow control valve, the flow sensor, the pressure sensor and the speed sensor respectively, and the variable pump is connected in parallel with the safety valve. The present invention realizes dynamic adjustment of the clamping and conveying system, and effectively avoids blockage and damage caused by excessive load during operation.

This disclosure provides a data collection method, apparatus, electronic device, and storage medium, relating to the field of mobile communication technology. The method includes: a first network element sending a first information acquisition request to a UDM network element; receiving data collection subscription information corresponding to a terminal returned by the UDM network element; and determining a target data collection method based on the data collection subscription information corresponding to the terminal. The method provided in this disclosure can, based on requesting data collection subscription information from a UDM network element, allow the first network element to selectively determine a data collection method. Therefore, this disclosure can achieve user data collection while improving user data security and preventing the leakage of user privacy.

This application discloses a target plane data transmission method, terminal, and network-side device, belonging to the field of wireless communication technology. The target plane data transmission method of this application includes: using a first sublayer to transmit target plane information between the terminal and the target plane network function instance over the air interface, wherein the target plane is a protocol function plane used to support at least one of data collection, data distribution, data security, data privacy, data analysis, and data preprocessing.

The invention discloses a development comprehensive evaluation method and system based on a cloud computing technology, and the system comprises a data collection module which is responsible for automatically collecting data of functional and non-functional demands in the software development and testing process; the data processing module is used for carrying out preprocessing and deep analysis on the collected data so as to identify key indexes; and the weight distribution module is used for quantifying the key indexes and distributing weights according to project characteristics and business requirements. Through an automatic tool of a cloud computing platform, comprehensive monitoring and data collection of the test process can be realized, so that the test coverage rate is improved, a code coverage rate analysis tool is used, all key code paths are ensured to be tested, a continuous integration / continuous deployment (CI / CD) process, automatic test and feedback are implemented, and the test efficiency is improved. And key problem omission caused by human negligence is reduced.

The utility model provides a rigidity detection device of an aviation aircraft wing. The rigidity detection device comprises a bottom frame. The utility model relates to a rigidity detection device for wings of an aviation aircraft, which is characterized in that the wings are firstly placed in two limiting sleeve blocks to be clamped, then two rotating rods are respectively rotated, so that the wings are stably limited in the two limiting sleeve blocks, two air cylinders are used for pressing an extrusion plate during detection, and the wings are clamped in the two limiting sleeve blocks; the two pressure sensors transmit pressure values in the extrusion process to a computer end to complete detection data collection, and the two hooks and the two pull ropes can be combined for use in the process, so that data collection of the pull compression resistance value of the wing can be realized; when extrusion detection needs to be carried out on different positions of the wing, a rotary knob is rotated to enable a threaded column to rotate, a threaded sliding block slides outside the threaded column along a sliding groove, position adjustment of the whole sliding frame is achieved, and the extrusion plate extrudes the different positions of the wing.