8results about How to "Avoid missed judgment" patented technology

The application relates to the technical field of air conditioner intelligent control, and specifically discloses a multi-heat-exchanger intelligent defrosting control method and device based on multi-parameter fusion and heat load prediction and a storage medium, which comprises the following steps: collecting multi-dimensional operation data; performing feature calculation on the collected original data to obtain fin temperature change rate, evaporation pressure fluctuation rate and air enthalpy difference absolute value; constructing a fuzzy reasoning system to generate a frost formation confidence value; constructing a feedforward neural network model to generate an optimal defrosting cycle prediction value; generating a defrosting trigger instruction or a continuous monitoring instruction according to the confidence interval and the cycle achievement situation; detecting and pre-adjusting the pressure difference between the high-pressure side and the low-pressure side to execute switching between the running heat exchanger and the defrosting heat exchanger; collecting fin temperature data of the defrosted heat exchanger to generate a defrosting completion judgment result. Through improvement of the defrosting method, accurate frost formation state sensing, self-adaptive adjustment of the defrosting cycle, optimization of the judgment strategy and smooth control of the switching process are realized.

The application discloses a power transformer winding fault detection method based on vibration spectrum analysis and relates to the technical field of power equipment detection, which comprises the following steps: collecting original vibration acceleration signals of a transformer and preprocessing the original vibration acceleration signals to form a signal frame sequence; applying an improved Hilbert-Huang transform to each signal frame to obtain a set of intrinsic mode functions, calculating a component instantaneous frequency sequence and extracting a frequency band with an energy proportion exceeding a preset threshold as a candidate fault characteristic frequency band; extracting a subband signal of each frequency band and calculating a high-order statistical quantity feature matrix; loading a health state reference feature matrix matched with a transformer model, capacity and voltage grade; comparing the two in an element-by-element manner to identify an abnormal feature submatrix; spatially clustering the abnormal feature submatrix to form a suspected fault mode cluster; and outputting a specific winding fault mode diagnosis result. The method can accurately extract fault characteristics and improve the accuracy and reliability of fault detection.

The invention relates to an interlocking board card test platform. The interlocking board card test platform comprises a computer, a power supply board, a mother board and a logic machine cage, the logic machine cage is internally provided with a mother board, one side of the mother board is provided with a power supply board and a plurality of logic unit board cards, and one side, opposite to the logic unit board cards, of the mother board is provided with a rear plugboard; the power supply board supplies power to each logic unit board card through the mother board; the computer is in signal connection with the logic unit board card on the mother board, and test software is configured on the computer and used for testing the logic unit board card. Compared with the prior art, automation of the testing process is achieved, the testing efficiency and accuracy are greatly improved, and the dependency degree of manual operation is reduced.

This invention discloses a method for assessing enterprise information data compliance based on semantic processing, comprising: collecting data behavior records and compliance text data from the enterprise information system; performing two-layer semantic contract extraction to generate a compliance obligation semantic contract graph and compiling it into a compliance obligation execution machine; constructing a continuous-time semantic event stream and a time-stamped behavior hypergraph to generate a cross-period semantic complex; performing reverse reachability search and incremental semantic path expansion to generate a minimum field combination locking kernel; constructing an improved ChebNet semantic propagation network to output node risk energy values ​​and propagation gradients; and constructing a compliance critical shell domain to generate assessment results for stable compliance shells, critical compliance shells, and violation shells. This invention achieves dynamic identification and compliance assessment of implicit violation risks in enterprise information data through the compliance obligation execution machine, the cross-period semantic complex, and the improved ChebNet semantic spectrum propagation processing.

The present application relates to the technical field of data processing, and more particularly to a method and system for anti-counterfeiting identification of server hardware. The method comprises: capturing a transient ripple voltage sequence of a target hardware power supply pin power supply by a baseboard management controller; calculating the deviation of the transient ripple voltage sequence and a reference voltage sequence to obtain a transient signal distortion index; generating a physical feature based on real-time operating temperature for thermal normalization compensation; obtaining a static digest from hash firmware binary data, fusing the physical feature to construct a composite anti-counterfeiting seed; and using a trusted platform module to perform register expansion and digital signature, and sending the signature result and real-time operating temperature to a cloud platform for verification. The present application can more accurately reflect the physical and electrical characteristics of hardware, solve the limitations of software level measurement, improve the anti-counterfeiting reliability, ensure the process safety and non-tamperability, effectively identify high-imitation card hardware, and protect the server data security and operation stability.

This invention relates to the field of pipeline exploration technology and discloses an underground pipeline detection device, including an equipment box and a frame slidably installed at the bottom of the equipment box. The frame includes two sets of connecting rods and two sets of connecting rods, which are connected end to end by bearing hinges to form a rhomboid closed frame. An adjustment component is provided inside the equipment box. The adjustment component drives the four-bar linkage of the rhomboid closed frame to achieve stepless expansion and contraction of the frame width. This invention, by setting an adjustable-width frame, forms a balanced force support through the cooperation of the rhomboid closed frame and triangularly distributed universal wheels, which can avoid deviation and ensure detection accuracy. Through the linkage of knobs, gear columns, and tooth grooves, the support rod can slide smoothly along the slide groove. It can be adapted to narrow passage scenarios such as old residential building corridors and urban village alleys without disassembly, solving the problem of traditional fixed-width carts being unable to enter.

The invention provides an enterprise compliance inspection tour method based on rule and generative AI collaborative judgment, and relates to the technical field of artificial intelligence and enterprise crossing, and the method comprises the steps: S1, obtaining multi-source data which comprises a text data source, a table data source, a bill image data source, a voice data source and an external risk control library; s2, preprocessing the multi-source data to generate a preprocessed data set; the preprocessed data set comprises multi-modal data and a unified numbering result attached with entity associated information; s3, mapping the multi-modal data to the same vector space according to the preprocessed data set to obtain a multi-modal unified vector set; and establishing an approximate nearest neighbor retrieval index according to the multi-modal unified vector set, inputting a retrieval request, returning candidate evidence, and generating an RAG retrieval enhancement interface. Dynamic business semantics can be understood, logic explanation is generated, and safe collaborative evolution end-to-end intelligent patrol can be realized.

The application discloses a kind of engineering plastics friction start noise prediction methods under grease lubrication.First, the pin disc sample of the engineering plastics friction pair to be measured is prepared, and the grease to be measured is applied at the contact interface of the pin disc sample;Then, the pin disc sample to which the grease to be measured is applied is tested on a friction and wear testing machine to obtain the transient friction coefficient time curve of the start-up stage;And the pin disc sample to which the grease to be measured is applied is tested on a friction and wear testing machine to obtain the Stribeck curve;Finally, according to the transient friction coefficient time curve of the start-up stage and the Stribeck curve, it is predicted whether the current engineering plastics friction pair to be measured will produce friction noise under the current working condition of the grease to be measured.The application method comprehensively covers the transient energy burst and the double instability mechanism of steady-state negative damping, effectively and accurately predicts whether the engineering plastics friction pair produces friction start noise.