15 results about "Adaptive software" patented technology

The invention discloses a self-adaptive software test case generation optimization method, which comprises the following steps of: carrying out structured analysis on service requirements of a target system, extracting multi-dimensional test requirements of performance, resources, risks and coverage rates, and carrying out tagging and normalization processing to form a quantifiable index system; based on a meta-strategy layer decision engine, fusion reinforcement learning and fuzzy reasoning are carried out to realize multi-target weight distribution and dynamic compromise; generating and optimizing a preferred case set by means of a trade-off adaptive algorithm, performing conflict marking and constraint cooperative adjustment, collecting feedback data through automatic testing, correcting weight distribution and conflict detection rules according to actual results, and continuously iterating case generation strategies; the objective achievement degree is periodically evaluated, the strategy model is reconstructed or switched to adapt to scene changes, the accuracy of test requirement expression and the self-adaptability of the use case generation strategy are improved, and efficient collaborative optimization of multi-objective testing and dynamic adaptation of service scenes are achieved.

The application discloses a ship master telegraph system, which comprises a driving console master telegraph, a control console master telegraph and a standby control console master telegraph connected with each other through a CAN network, the hardware and software structures of the master telegraphs are same, each master telegraph comprises a core processing module, an interface module, a telegraph handle, a gear transmission device, a potentiometer, a telegraph lamp plate and a buzzer and the like, and each master telegraph can set a system part node, when a gear position is changed, only the lamp plate mask and the step positioning component of the telegraph handle corresponding to the gear position need to be replaced, without the need of reordering a whole set of telegraph handle hardware and compiling adaptive software, the telegraph handle with the replaced gear transmission device makes corresponding changes, the core processing module collects the potentiometer value of the gear position of the telegraph handle and converts the potentiometer value into a telegraph current output to a remote control system to control the gear position change of mechanical components, the master telegraphs of different operation parts can be used interchangeably, the maintenance cost is reduced, and the repair time is shortened.

The invention provides a control method and system for battery replacement of a heavy truck. The control method comprises the following steps: collecting health state parameters of the battery pack in real time; based on the health state parameters, determining the health level of the battery swap battery pack through a preset health scoring model; when the coding information of the heavy truck battery swap vehicle is detected, determining an adaptive software version range according to an adaptive relationship between the health level of the battery swap battery pack stored in a pre-created version matching library and the software version, and checking whether the software version to be flashed is within the adaptive software version range, if yes, judging whether the to-be-flashed software version is within the adaptive software version range, and if not, judging whether the to-be-flashed software version is within the adaptive software version range; if yes, selecting the to-be-flashed software version as a heavy card power conversion adaptive software version, and if not, selecting a compatible software version as the heavy card power conversion adaptive software version; and according to a preset flashing priority, flashing of the heavy card battery replacement adaptive software version is executed. According to the scheme, the flashing frequency can be reduced, the hardware loss is reduced, and the operation efficiency of the battery swap station is improved.

The invention relates to the technical field of electric meter infrared communication, in particular to a circuit for realizing two-path infrared self-matching software and hardware communication, which comprises: A, a CPU (Central Processing Unit) adopting ESP32-S3, multiplexing the CPU into a UART (Universal Asynchronous Receiver / Transmitter) interface through two paths of GPIOs (General Purpose Input / Output), driving PORT-X and PORT-Y infrared links, and configuring at least two paths of GPIOs as link enabling control ends; according to the invention, through the design of two-way infrared communication, transverse acquisition communication and longitudinal acquisition communication technologies are realized, more communication selectivity requirements can be realized in different environments, and through the design of adaptive software and hardware communication, transverse acquisition communication and longitudinal acquisition communication technologies can be realized. According to the method and the device, fitting and self-adaptive communication with an electric meter channel port can be realized, firmware does not need to be updated back and forth, the maintenance cost of a user is greatly reduced, non-filtering communication in a conventional design is replaced by using an infrared communication filtering technology, and the communication reliability and the communication stability of a product are both improved.

The invention relates to the technical field of multi-software collaborative bridge modeling, and discloses a multi-software collaborative bridge modeling method and device, and the method is a collaborative process of targeted adaptation modeling software, component precise modeling and unified coordinate system integration. Each component realizes refined modeling by means of functional advantages of adaptive software, so that the accuracy of the structural size and the spatial position is greatly improved; model integration under a unified coordinate system avoids the problem of port collision between the components from the source, and reduces the design rework cost. Meanwhile, an accurate component model and a complete overall model provide reliable basis for steel structure manufacturing and provide clear guidance for field installation.

The invention provides an adaptive software closed-loop control system and method for a stepping motor without an encoder, and belongs to the technical field of motor control. Comprising the following steps: S1, performing system initialization after power-on; s2, generating a stepping pulse signal and a direction signal according to preset target position information; s3, a driving module drives a stepping motor to operate according to the stepping pulse signal and the direction signal; s4, in the operation process of the stepping motor, the control module reads an internal register of the driving module and obtains feedback data, and the feedback data comprises current and torque counting of the stepping motor; s5, calculating the back electromotive force of the stepping motor based on the current, the motor parameters and the driving voltage output by the driving module, and carrying out stall detection based on torque counting; s6, calculating the rotating speed of the motor based on the back electromotive force; and S7, adjusting a microstep mode and a current attenuation mode according to stall detection and the rotating speed of the motor. The hardware cost and complexity of the system are reduced, the control precision and reliability are improved, and the flexibility of the system is enhanced.

A welding process tuning method for adaptive laser hybrid welding, comprising: establishing a visualized digital platform of a welding process; extracting information of a product, the information comprising: plate thickness, length, and base material; acquiring a processing status and pre-welding information of the product: within a reasonable range around a weld seam, whether a plate is polished to have metallic luster, and whether edge milling is performed; inputting initial welding data and basic welding parameters on the basis of a plate status; correcting the data to obtain basic laser parameters; setting other process parameters to obtain a passed test plate; using full-field laser to extract workpiece features, and capturing workpiece welding features to perform preliminary tuning work of adaptive welding; and arbitrarily placing a test workpiece within a certain range, and combining adaptive software and full-field laser positioning to perform tuning work of adaptive laser hybrid welding of plate seams until reliable and stable welding process parameters are obtained.

The present invention provides a virtual reality (VR) system that synchronizes smart stimulation devices (e.g., haptic actuators) with VR content in real time. A simulation engine dynamically adjusts tactile, thermal, or mechanical feedback based on user physiological responses (e.g., eye / hand tracking, heart rate). The system includes a VR headset with motion sensors, wirelessly connected smart devices, and adaptive software to personalize therapeutic experiences. Applications include sexual wellness and trauma recovery, where real-time feedback improves user safety and immersion. The architecture supports modular hardware / software expansion.

The invention discloses a software supply chain flow detection method, system and product based on big data, and belongs to the technical field of network security, and the method comprises the steps: obtaining and preprocessing a data packet sequence to obtain a preprocessed data packet sequence, and carrying out the multi-dimensional feature extraction of the preprocessed data packet sequence to obtain a multi-dimensional flow feature; obtaining the weight of the multi-dimensional traffic characteristics based on the multi-dimensional traffic characteristics, and calibrating the weight; performing weighted relevance processing and fusion on the multi-dimensional traffic features to obtain fused traffic features; and inputting the fused traffic features into a BiLSTM model to obtain space-time fusion features, carrying out anomaly detection and fusion on the space-time fusion features to obtain fusion anomaly confidence, judging the fusion anomaly confidence based on a preset threshold, and if the judgment is abnormal, triggering a traffic alarm mechanism and generating a traffic early warning scheme. According to the method, the hidden attack identification efficiency and the novel attack discovery capability can be improved, meanwhile, the behavior change of the software supply chain is self-adapted, and the false alarm rate is reduced.

The application provides a control method and system for heavy truck battery replacement. The control method comprises: collecting health state parameters of a battery pack in real time; determining a health level of the battery pack based on the health state parameters through a preset health score model; when the coding information of a heavy truck battery replacement vehicle is detected, determining an adaptive software version range according to the adaptive relationship between the health level of the battery pack and the software version stored in a pre-created version matching library, and checking whether the software version to be written is within the adaptive software version range, if yes, selecting the software version to be written as the heavy truck battery replacement adaptive software version, and if no, selecting a compatible software version as the heavy truck battery replacement adaptive software version; and performing the writing of the heavy truck battery replacement adaptive software version according to a preset writing priority. According to the scheme of the application, the writing frequency can be reduced, the hardware loss can be reduced, and the operation efficiency of the battery replacement station can be improved.

The application provides a circular arc end tooth rounding and chamfering processing method and system, and relates to the technical field of machining. The method comprises the following steps: installing a high-precision measuring head on a five-axis numerical control machining center, planning a outer circle, inner circle and tooth end surface measurement program according to an end tooth solid model by using adaptive software QJCAM, obtaining point position data through contact measurement, leveling and aligning the end tooth and determining the angular position according to the point position data, and updating the machining coordinate system; after the part position is calibrated, QJCAM generates a rounding contact surface feature program, plans a measurement path based on the new coordinate system, analyzes the results after running, and fits the end tooth model of the actual size according to the returned data through a specific algorithm; QJCAM maps the original tool path to the new model, adaptively adjusts and generates a new tool path according to the model geometric characteristics and the accuracy requirements, accurately controls the five-axis machining path, realizes high-precision, high-efficiency and intelligent rounding and chamfering machining, and ensures the smoothness and accuracy of the tool path. The application realizes efficient and intelligent machining, and is suitable for machining of key components such as aircraft engines.

The application provides a kind of double propeller driven unmanned ship power damage state identification and fault-tolerant control method.The method is first based on the motion effect of measured data to obtain the navigation characteristics of unmanned ship, which consists of normal state navigation and damage state navigation data to form training and test set;Then record the steering behavior and motion response during navigation, compare the training characteristics, and establish a power damage state recognition algorithm through a deep neural network;Finally, based on the damage degree recognition algorithm and the control end adaptive software and hardware system, the propeller command setting method is determined to control the goal of reducing speed and keeping direction, so that the unmanned ship can still maintain a certain autonomous navigation ability under the damage state.This scheme is convenient to solve the problem that the double propeller driven unmanned ship has low response ability to power system failure, so that it can still maintain a certain degree of autonomous navigation ability under abnormal power state.

This invention discloses an adaptive software quality measurement method based on information geometry and reinforcement learning, comprising: acquiring original quality feature data of software class graphs; extracting low-dimensional manifold coordinates through information geometry mapping and sparse representation; reconstructing index values ​​and constructing composite fuzzy matter elements based on manifold coordinates; dimensionlessly transforming the matter elements to obtain an optimal membership matrix; determining initial weights based on the entropy weight method; iteratively optimizing the weights through a reinforcement learning adaptive feedback mechanism; and calculating the comprehensive evaluation value and outputting the measurement result using the MARCOS method. This invention achieves a breakthrough in software quality measurement from static to dynamic adaptation, significantly improving the accuracy and practicality of the measurement, and effectively overcoming the shortcomings of traditional methods in terms of high-dimensional complexity, evaluation fuzziness, and limitations of static weights.

The application discloses a frequency self-adaptive software architecture system of a mine dump truck and a storage medium, and relates to the technical field of software architecture systems of mine dump trucks. The frequency self-adaptive software architecture system of the mine dump truck comprises a device driving module, an application layer logic unit and a self-adaptive frequency control unit. The device driving module is used for driving an external sensing device to collect data. The application layer logic unit is used for processing business logic nodes. The self-adaptive frequency control unit is used for monitoring the data sending frequency of the device driving module and the data sending frequency of a data processing unit under different road surface environments, taking the smaller one of the data sending frequency of the device driving module and the data sending frequency of the data processing unit as the actual running frequency of the sensing device, obtaining the running frequency of the application layer logic unit, judging whether the actual running frequency of the sensing device and the running frequency of the application layer logic unit are equal, and updating the running frequency of the application layer logic unit with the actual running frequency of the sensing device if the actual running frequency of the sensing device and the running frequency of the application layer logic unit are not equal. The data processing unit is used for processing the collected data of the sensing device processed by the application layer logic unit and the device driving module.

The present application relates to biotechnological fluid treating, such as biopharmaceutical liquids in order to obtain products such as monoclonal antibodies, vaccines or recombinant proteins, and particularly to a system for treating a biotechnical fluid, having a bioprocess machine and at least one bioprocess machine helper, configured to connect to each other and each comprising a controller, in turn comprising a machine-to-machine communication tool configured for connecting to a network, wherein parts of the bioprocess machine helper are simulated and used to enhance the behaviour of the disclosed system.