12results about How to "Does not affect real-time performance" patented technology

The invention provides a bidirectional identity authentication and encryption communication method based on an HART-IP protocol, and the method comprises the following steps: S1, respectively deploying the IP addresses of a control device and a field device and corresponding public and private key data to the control device and the field device through a configuration tool; s2, the control equipment sends an authentication request command to the field equipment, the field equipment analyzes and verifies the authentication request command and returns an authentication request response to the control equipment, and the control equipment analyzes and verifies the authentication request response and sends an authentication feedback command to the field equipment again; s3, after encrypting the session key, the control equipment sends a session key distribution command to the field equipment, and the field equipment analyzes, verifies and decrypts the session key distribution command to obtain the session key; and S4, the control equipment and the field equipment perform encryption and decryption operation on the sent and received message data based on the session key to realize encrypted communication between the control equipment and the field equipment.

The invention discloses a video stream non-perception encryption and decryption method based on an IP (Internet Protocol). The method comprises the following steps: acquiring a plaintext data stream, splitting the plaintext data stream into data packets, transmitting the data packets by using a UDP (User Datagram Protocol), introducing a forward error correction code, recombining the transmitted data packets, and generating an original plaintext video stream; carrying out network flow feature extraction on the plaintext data flow to obtain network flow features, carrying out load optimization to obtain a first network flow feature, carrying out encryption by using an encryption algorithm, and attaching an authentication tag to the end of the encrypted first network flow feature to obtain a second authentication tag; embedding the encrypted first network traffic feature into a data packet of the original plaintext video stream to obtain an encrypted data packet; the authentication tag is recalculated and compared with the second authentication tag, and the encrypted data packet is decrypted by using the corresponding key to obtain the original plaintext video stream after recombination, so that network attack can be effectively prevented, and the security of video transmission is guaranteed.

The invention relates to a data acquisition method and device and a base station maintenance method, in the method, at least a first thread and a second thread are operated at the same time, the first thread is configured to process base station data transmitted and received by a physical layer of a baseband processing unit, and the second thread is configured to process the base station data transmitted and received by the physical layer of the baseband processing unit. A node for executing a processing task for base station data in a first thread is provided with a data probe point, a second thread is configured in a physical layer, and the method comprises the following steps: under the condition that the first thread executes the processing task for the base station data, calling the data probe point to store the base station data; sending an indication message to a second thread through the first thread, wherein the indication message comprises position information of the data probe point; and in response to the indication message, controlling a second thread to obtain the base station data from the data probe point, the base station data in the second thread being used for outgoing. Through the data processing method and device, the technical problem that the real-time performance of data processing of a physical layer cannot be guaranteed in the data obtaining process in the prior art is solved.

The present invention relates to the field of data management technology, and in particular to a platform data processing management method and system based on big data. A platform data processing management method based on big data, comprising the following steps: S1: using NLP to obtain a unique semantic label for each data item field in a data warehouse, and adjusting the usage quantity of each data item in all downstream systems according to the unique semantic label; S2: based on the adjusted usage quantity in the downstream system, using a comprehensive weight formula to obtain the comprehensive weight of each data item, using a weighted time calculation formula according to the comprehensive weight, obtaining a weighted average waiting time, and obtaining a cache adjustment formula according to the weighted average waiting time. The present invention adapts to the complex needs of different scenarios by adjusting the cache size and data management rules in real time according to the dynamic needs of the downstream system, while providing good support for future system expansion.

The invention provides a point cloud data processing method and device of an unmanned vehicle and the unmanned vehicle. The method comprises the following steps: acquiring point cloud data of a current frame and point cloud data of a previous frame acquired in a movement process of the unmanned vehicle; determining a first grid which is not updated and a second grid which is updated in a second grid map corresponding to the point cloud data of the current frame compared with a first grid map corresponding to the point cloud data of the previous frame; storing the raster data of the second raster map according to a preset rule, the preset rule comprising: for the first raster, mapping a first raster index of the first raster in the second raster map to a historical raster index of the first raster in the first raster map; determining a second raster index corresponding to the second raster in the second raster map, and allocating a second target storage position for the raster data corresponding to the second raster, mapping the second raster index to the second target storage position, and storing the raster data corresponding to the second raster to the second target storage position. And the resource occupation of the computing platform is small.

The present application belongs to the field of electronic bass drum, and particularly relates to an electronic bass drum technique recognition device and method. The device comprises a bass drum skin, a sensor measured unit moving synchronously with the bass drum skin, a sensor detection unit for detecting displacement and / or pressure change of the sensor measured unit in real time and outputting corresponding electrical signals, a striking signal pickup unit for picking up mechanical impact force generated when a pedal strikes the bass drum skin and converting the mechanical impact force into electrical signals, a reset elastic member for driving the sensor measured unit to return to an initial position in a non-striking state, and a main control board electrically connected with the sensor detection unit and the striking signal pickup unit. The present application realizes accurate recognition of two core playing techniques of toe tapping and flat tapping and outputs differentiated sound effects through the cooperation of the sensor detection unit and the striking signal pickup unit, with the presence or absence of pressure of the pedal head on the bass drum skin in a non-striking state as the core basis for differentiation.

The application discloses a lightweight log processing method and a multi-core processing system, and relates to the technical field of data processing. The method comprises the following steps: a task core constructs a fixed-length binary log record based on a log to be recorded, caches the log record to a corresponding first cache area based on a core ID, and acquires a first index value of the corresponding first cache area; if the first index value is greater than or equal to a first preset value, a hardware queue message is constructed and written into a hardware queue; a management core polls the hardware queue, calls DMA based on the hardware queue message to store all log records in a target first cache area into a corresponding second cache area, and if a second index value is greater than or equal to a second preset value, a report message is constructed and sent to an ARM module; and the ARM module and based on the report message, log records of each target second cache area are subjected to string analysis and storage. Thus, the problem that the prior art takes a long time and occupies a high resource when recording physical layer logs is solved.

This invention discloses an automatic counting method and system for the number of furnaces using ladle agitators. The method includes collecting ladle agitator usage signals, desulfurization station operation signals, and molten iron furnace number signals to determine and generate a valid agitator usage event; dynamically binding the valid agitator usage event with the current desulfurization station agitator configuration information; receiving the molten iron furnace number signal and identifying whether the current molten iron is ladle-fired; if it is ladle-fired, assigning it a unique ladle furnace number; automatically generating and storing a detailed agitator usage record based on the binding of agitator configuration information and the furnace number identification and processing; automatically counting, summarizing, and generating a statistical report of key indicators regarding the agitator usage of each desulfurization station; and designing a system to implement the above method. This invention can replace manual summarization, saving labor costs; calculates refractory material costs based on the actual number of furnaces used, achieving accurate cost accounting; and fully records special production situations, supporting process optimization.

The invention provides an industrial control equipment-oriented flow trip line generation method and system based on honey points, and relates to the technical field of network security. The method provided by the invention comprises the following steps: generating an instruction based on a configuration file and a tripwire strategy; obtaining an original load sequence, identifying sensitive fields in the original load sequence based on a flow trip line load generation model, and replacing the sensitive fields with mask marks to form a mask load sequence; predicting a mask mark position in the mask load sequence to generate bait data; filling the bait data to a mask mark position, and combining the bait data with a non-sensitive field in the mask load sequence to generate camouflage load data; embedding the camouflage load data into a standard protocol frame based on the instruction, constructing a flow trip line data packet, and embedding the address information of the honey point into the flow trip line data packet; and when the generation time arrives, actively sending the traffic trip line data packet to the outside according to the sending interval. According to the invention, active trapping perception and dynamic cheating of potential attacks are realized by actively sending analog data traffic.

The invention discloses an enhanced network security monitoring method for an Internet of Things management platform. The method comprises the following steps: S1, collecting a network data packet interacting with the Internet of Things management platform; s2, performing preliminary trust evaluation on the data packet by using a lightweight model A obtained by interactive knowledge sharing training; s3, if the evaluation result of the model A is abnormal, a depth anomaly detection model B obtained through interactive knowledge sharing training is used for reexamination; s4, if the reexamination result of the model B is abnormal, starting a trust decision and security response mechanism; and S5, manually auditing the abnormal network data packet, and carrying out incremental learning on the model A and the model B. The invention provides a set of advanced security solution for an intelligent Internet of Things system, and aims to effectively identify and intercept potential malicious communication data packets through a multi-stage intelligent evaluation and incremental learning mechanism, thereby meeting the requirements of high security and real-time performance of communication in a large-scale Internet of Things environment.

The invention belongs to the technical field of video key frame sampling for video understanding and action recognition, and particularly relates to a sparse and dense centripetal key frame sampling method for video action recognition, and the method comprises the following specific steps: S1, firstly, determining the total frame number of a target video and the number of key frames which need to be collected and preset by a user; the stage is the basis of the whole sampling method, and necessary data support can be provided for subsequent key frame selection by mastering the basic information of the video; then, whether the number of key frames needing to be collected exceeds the actual total frame number of the video or not is checked, so that the feasibility and rationality of subsequent processing are ensured; according to the method, model construction is carried out on video key frame sampling again, key frame sampling of a target video is carried out in a mode of regularly constructing sparse, dense and relatively loose key frame sampling, and effective samples are provided for later tasks.

The invention discloses a multi-core data transmission system, and relates to the technical field of data communication, the system comprises an upper computer and a lower computer, the lower computer comprises a multi-core processor with a first core and a second core; the first core and the second core are connected through a plurality of inter-core channels; the first kernel is used for acquiring first operation data and sending the first operation data to the upper computer; the second kernel is used for acquiring second operation data and performing data processing on the second operation data based on preset business logic to obtain third operation data; generating a third message representing an acquisition mode of the third job data, and sending the third message to the first kernel through a plurality of inter-kernel channels; and the first kernel is also used for acquiring the third job data based on the third message and sending the third job data to the upper computer. According to the scheme, the real-time performance of data transmission can be improved.