9 results about "Effective transmission rate" patented technology

The invention relates to the technical field of anti-interference transmission, in particular to an anti-interference transmission optimization method and system for building structure health monitoring signals. According to the method, a building structure dynamic response signal is collected through a distributed wireless sensor and digital processing is completed; deploying a lightweight imitation learning model at a local control end, performing interference mode identification on a transmission channel of monitoring data, and extracting interference features; generating a self-adaptive anti-interference transmission strategy according to the interference characteristics, and stably transmitting the monitoring data to a central server to realize multi-node data fusion and health state evaluation; and finally, performing parameter updating on the simulation learning model according to a health evaluation result returned by the server, thereby realizing high-reliability anti-interference transmission and self-adaptive optimization of the building monitoring signal. According to the invention, the effective transmission rate and the data perfectness rate of building structure health monitoring signals in a complex interference environment are improved, and the signal transmission reliability and the intelligent level are effectively improved.

The application provides a self-adaptive flow control method based on printing content feature analysis, relates to the field of data flow control of a thermal printer, and comprises the following steps: segmenting a to-be-printed data stream and extracting energy density values of each data segment; calculating a virtual heat value in an iterative mode, calculating a physical printing time consumption; calculating a transmission time consumption according to the number of bytes of the data segment and the effective transmission rate of a communication interface; obtaining an actual time consumption of the data segment from sending completion to printing completion, obtaining an error ratio based on the ratio of the estimated time consumption to the actual time consumption, updating an error ratio queue by using a sliding window and calculating the standard deviation thereof, determining a self-adaptive grading threshold value according to the standard deviation, updating a reference coefficient according to the grade to which the error ratio belongs, and dynamically adjusting a heat dissipation attenuation coefficient based on actual time consumption feedback and a virtual heat state. The application realizes accurate prediction and control of the risk of buffer overflow.

The invention provides a self-adaptive flow control method based on printing content feature analysis, and relates to the field of thermal printer data flow control, and the method comprises the steps: segmenting a to-be-printed data flow, and obtaining an energy density value of each data segment based on extraction; a virtual heat value is calculated in an iteration mode, and physical printing time consumption is calculated; calculating transmission time consumption according to the byte number of the data segment and the effective transmission rate of the communication interface; acquiring actual time consumption of the data segment from sending completion to printing completion, obtaining an error ratio based on a ratio of the estimated time consumption to the actual time consumption, updating an error ratio queue by adopting a sliding window, calculating a standard deviation of the error ratio queue, and determining a self-adaptive grading threshold according to the standard deviation; and updating the reference coefficient according to the grade of the error ratio, and dynamically adjusting the heat dissipation attenuation coefficient based on the actual time consumption feedback and the virtual heat state. According to the invention, accurate prediction and control of the overflow risk of the buffer area are realized.

The invention relates to an environment backscattering covert communication method and system assisted by an unmanned aerial vehicle. The method comprises the following steps: constructing a system model; the probability of error detection and missing detection is supervised and calculated by an eavesdropper, and the minimum detection error probability is deduced to evaluate the concealment of the system; the signal to interference plus noise ratio is calculated from the aspect of a receiving end, and an expression of an effective transmission rate is obtained to evaluate the covert communication rate; by jointly optimizing the hovering position of the unmanned aerial vehicle and the reflection coefficient of the ground reflection equipment, the constructed optimization problem of the maximum covert communication rate is solved in a mode of alternately optimizing sub-problems under the condition that the concealment constraint condition is met, and the maximum covert communication rate assisted by the unmanned aerial vehicle is achieved. According to the method, the security and privacy protection capability of the Internet of Things equipment are improved, the development of low-power-consumption Internet of Things application is promoted, and the method is suitable for low-power-consumption equipment deployed on a large scale and shows remarkable advantages in complex application scenes such as emergency response, smart cities and industrial automation.

The application relates to the technical field of anti-interference transmission, in particular to an anti-interference transmission optimization method and system for building structure health monitoring signals. The method collects building structure dynamic response signals through distributed wireless sensors and completes digital processing; a lightweight imitation learning model is deployed at a local control end to identify interference modes of a transmission channel of monitoring data and extract interference features; an adaptive anti-interference transmission strategy is generated according to the interference features, the monitoring data is stably transmitted to a central server to realize multi-node data fusion and health state evaluation; finally, the imitation learning model is updated in parameters according to a health evaluation result returned by the server, realizing high-reliability anti-interference transmission and adaptive optimization of building monitoring signals. The application improves the effective transmission rate and data integrity rate of building structure health monitoring signals in a complex interference environment, effectively improving signal transmission reliability and intelligent level.

The present application relates to the technical field of wireless communications. Disclosed is a user resource scheduling method. The user resource scheduling method comprises: calculating, at a MAC layer, a reachable rate range of each user on the basis of user joint channel state information of a current time interval; determining first data to be transmitted of each user in the current time interval; determining, at an application layer, a target rate of each user on the basis of the reachable rate range and said first data of the user, wherein the target rate is within the reachable rate range; allocating a transmission resource to each user on the basis of the target rate of the user, such that the transmission rate of the user reaches its own target rate; at the application layer, each user using the transmission resource to transmit said first data, and second data to be transmitted of each user in a subsequent time interval being determined; and at the MAC layer and on the basis of said second data, adjusting user joint channel state information of the subsequent time interval, and returning to the first step. In the present application, power resources are allocated to users by jointly considering the MAC layer and the application layer, so as to improve the effective transmission rate of each user.

The present application relates to the technical field of wireless communication, and discloses a user resource scheduling method, which comprises the following steps: calculating the reachable rate range of each user based on the user joint channel state information of the current time slot at the MAC layer; determining the first to-be-transmitted data of each user in the current time slot; determining the target rate of each user according to the reachable rate range and the first to-be-transmitted data of each user at the application layer, wherein the target rate is within the reachable rate range; allocating transmission resources to each user based on the target rate of each user, so that the transmission rate of each user reaches the target rate of each user; transmitting the first to-be-transmitted data by each user using the transmission resources at the application layer, and determining the second to-be-transmitted data of each user in the next time slot; adjusting the user joint channel state information of the next time slot based on the second to-be-transmitted data at the MAC layer, and returning to the first step. The present application allocates power resources to users by combining the MAC layer and the application layer, so as to improve the effective transmission rate of the users.

The invention provides a system for improving the environmental protection effective transmission rate of a unit. The system comprises a data acquisition sensing module, an intelligent transmission link module, a multi-dimensional data verification judgment module, a dynamic transmission rate calculation module and an intelligent monitoring and early warning processing module, and the data acquisition sensing module comprises a self-adaptive acquisition frequency adjusting unit and an integrated original data preprocessing unit. According to the system for improving the environmental protection effective transmission rate of the unit, dynamic optimization of the collection frequency is achieved through a self-adaptive collection frequency adjusting unit of the data collection sensing module, real-time collection of high-priority data is guaranteed, and redundant data transmission is reduced; the original data preprocessing unit improves the data quality and reduces the transmission bandwidth occupation, the intelligent transmission link module monitors the link state in real time and realizes intelligent switching, the stability of the transmission link is ensured, and the multi-dimensional data verification judgment module verifies data from multiple aspects of integrity, timeliness, accuracy and consistency.

The invention discloses a Bluetooth rate test method, and aims to solve the problems of large system error, poor scene adaptability, hard exposure of hardware defects and the like in the existing test, and the method comprises the following steps: building a test environment composed of a sending end and a receiving end, the two are connected with the Bluetooth module through a communication interface to ensure that the interface rate does not become a transmission bottleneck; designing a structured test code stream irrelevant to a protocol stack; establishing a stable Bluetooth connection; a sending end sends code streams with different lengths according to a fixed time interval, and the two parties record sending, receiving and verification related timestamps through hardware timers; and deducting connection interval redundant time consumption based on a receiving end timestamp, and calculating an actual effective transmission rate. According to the method, system errors can be accurately eliminated, classic Bluetooth, BLE and dual-mode modules are adapted in a cross-type manner, the stability of a communication link is tested, and the result is close to the actual application scene of embedded equipment.