4results about How to "Avoid redundant storage" patented technology

The invention relates to a self-adaptive control method for frequency characteristics of an actuation control system, belongs to the technical field of automatic control, and solves the problems that in the prior art, control parameters are difficult to set, time-frequency characteristics influence one another, and frequency characteristic type switching-on and switching-off characteristics cannot be realized. The method comprises the steps of collecting position information of a preset time sequence as original information, circularly storing and calculating an amplitude value, performing primary differential processing to obtain speed information and the amplitude value thereof, calculating a current information flow frequency based on the amplitude value, obtaining a self-adaptive adjustment coefficient according to the information flow frequency and a target frequency characteristic, and adjusting a control gain by using the coefficient. The frequency response characteristic of the system is optimized, and the control accuracy and the stability of the system are improved.

This invention discloses a method and system for managing chat logs based on a storage network, relating to the field of log management technology. The method includes the following steps: S1, constructing an interaction matrix; S2, constructing an association matrix; S3, calculating participation; S4, outputting summary text; and S5, assessing risk coefficients. This invention effectively divides different chat logs by constructing an interaction matrix and marks chat logs within the same conversation segment. After the initial construction of the interaction matrix, to further conserve storage resources, the position values ​​in the matrix are optimized: if the logical correlation between two chat logs is weak, the value at the corresponding matrix position is reset to zero, thus avoiding redundant storage; while for strongly correlated log pairs, their position value is retained as 1. This design quantifies the connection strength between chat logs, thereby reflecting the closeness of the relationship between users.

The invention provides an expressway business form extraction method and system based on a neural network, and the method comprises the steps: obtaining to-be-processed sub-business forms, carrying out the data cleaning, and generating rule data; performing compliance verification on the rule data based on the agreed rule, and if the verification is qualified, storing the rule data as a standard business form according to the category; traversing each standard service form in sequence, identifying coincident entries, taking the coincident entries as association keys, and extracting a high-speed service form set belonging to the same user based on the association keys; and inputting the high-speed business form set into a pre-trained statement extraction model to generate a passing behavior statement. According to the invention, by integrating the expressway business forms, standardized processing and efficient management of data are realized. According to the method, the data compliance is ensured, the business forms of the same user are identified and associated, the traffic behavior statements are generated by using the statement extraction model, and convenient and accurate information support is provided for expressway business management.

The invention provides a data management method, a server and a storage medium, and belongs to the technical field of data processing.The method comprises the steps that in response to an operation request for any target attachment, a unique identifier of the target attachment is determined; according to the unique identifier, querying attachment information corresponding to the target attachment from an attachment table; updating a reference count in the attachment information, wherein the reference count is used for representing the number of times that the target attachment is referenced by the business entity; according to the operation request, a reference relation table of the target attachment is updated, and the reference relation table is used for recording the incidence relation between the service entity and the attachment. In this way, for one attachment, the server only stores the data stream in the attachment once, redundant storage caused by repeated copying of the same attachment is avoided, the number of times that the attachment information is referenced by the service entity is recorded through the number of times of reference, so that when deletion operation is executed, the number of times of reference of the attachment is used as a reference, deletion of the currently referenced attachment is avoided, and user experience is improved. Accessories are prevented from being deleted by mistake, and a data management mode is optimized.