7results about How to "Regulatory intelligence" patented technology

This application discloses a method, apparatus, storage medium, and electronic device for adjusting transmission power, relating to the field of smart home technology. The method includes: receiving device information reported by a communication module, wherein the device information includes at least: the device network identifier of the device where the communication module is located and the corresponding device model; determining the current device's configuration information in different dimensions based on the device information; determining the target transmission power to be executed by the communication module based on the configuration information and preset configuration data; and adjusting the historical transmission power of the communication module on the current device using the target transmission power. This solves the problems of single configuration strategy, poor flexibility, and low efficiency when dynamically managing the transmission power of communication modules in the cloud. Furthermore, by receiving and parsing the device information of the communication module in the cloud, multi-dimensional configuration parameters are determined to intelligently and dynamically adjust the historical transmission power settings of the communication module in the IoT device.

The invention discloses a gray release verification method for a localized cloud charging system, and the method comprises the steps: introducing a twinborn state transaction verifier which carries out the synchronous verification of the context states of new and old version applications at a plurality of key state points of a charging transaction, achieves the in-event discovery and real-time intervention of logic deviation, and improves the verification efficiency. Therefore, the actual occurrence of wrong transactions is avoided. Meanwhile, the invention provides an RCI (Relief Confidence Index) model, the performance of the new version on consistency, performance and stability is comprehensively quantified, and subjective judgment is converted into scientific data decision. According to comparison of the RCI value and the preset threshold value, the system can automatically execute operations such as rollback, verification range expansion or promotion suggestion and the like, and intelligent and staged transition from single-point verification to total release is realized. According to the method, on the premise of guaranteeing zero interruption of the service, deep and safe verification and automatic decision issuing of the new version application can be realized, and the reliability and efficiency of updating of the key service system are remarkably improved.

This invention discloses an adaptive spatial filtering method to reduce the false alarm rate in laser ranging. An adaptive spatial filtering module is introduced into the laser ranging system. A real-time sky background noise acquisition module detects changes in sky background light intensity and feeds this information back to the control system for immediate response. Based on the acquired control signals, a receiving field-of-view control module enables automatic control of a series of mechanisms and circuits. A variable aperture with adjustment function limits the background noise entering the laser ranging system; when the background light radiation intensity is high, the aperture diameter decreases, and vice versa. This design is simple in structure, easy to operate, stable, and highly automated. It not only balances the system's target acquisition capability and noise suppression capability but also has good adaptability, allowing for real-time, intelligent, and efficient adjustment of system structural parameters according to observation conditions, thereby improving system stability and automation.

The invention relates to the technical field of geological disaster emergency, and discloses a geological disaster emergency evacuation path intelligent planning system based on edge calculation. The system comprises a terrain monitoring layer, a risk assessment layer, a path deduction layer and an evacuation control layer. The terrain monitoring layer collects a multi-dimensional terrain data flow of a disaster area in real time through an edge computing node; the risk assessment layer fuses the historical catastrophe model and the multi-dimensional topographic data flow to carry out geological stability calculation, and generates a dynamic risk distribution map; the path deduction layer generates an initial evacuation path network through a self-adaptive optimization algorithm in combination with the dynamic risk distribution map and a preset evacuation constraint condition; and the evacuation control layer converts the initial evacuation path network into a navigation instruction set and drives terminal execution equipment to implement evacuation guidance. According to the system, the terrain change of a disaster area can be mastered in real time, the risk is accurately evaluated, an evacuation path fitting the reality is generated, personnel evacuation is effectively guided, and the efficiency and safety of emergency evacuation of geological disasters are improved.

The invention discloses an air-drop height, wind speed and wind direction measuring device and method of an anti-impact retractable structure, and belongs to the technical field of atmosphere data measurement and air-drop equipment. The invention aims to solve the problems of poor impact resistance, low response speed and large volume and weight of the existing measuring device in an air-drop environment. The retracting and releasing device, the wind direction measuring unit and the pressure difference measuring device are highly integrated, so that the device can push the wind direction measuring unit to an optimal measuring position in an air-drop flight measuring stage and perform real-time atmosphere information acquisition and feedback, and the device is quickly retracted into a cabin in a landing stage, so that the measuring device is prevented from destructive impact. Through the unique structural design, the measuring device can feed back accurate and reliable atmosphere information in real time in an extreme air-drop environment so as to adjust a flight strategy, meanwhile, the measuring device has high impact resistance, and the service life of the measuring device is prolonged.

A method for adjusting downlink outer loop AMC in a 5G wireless system and a base station, the method comprising: obtaining a feature vector in a current decision period; inputting the feature vector in the current decision period into an intelligent decision model to determine a target offset of downlink outer loop AMC in the current decision period from a preset MCS offset value range; wherein the feature vector in the current decision period comprises a value of a physical layer parameter and a value of a throughput parameter, wherein the value of the physical layer parameter is determined according to CQI currently fed back by a UE in at least two latest TTI periods; and the value of the throughput parameter is determined according to the size of a TB successfully transmitted by the UE in a preset throughput window, so as to realize more intelligent, stable and accurate adjustment of the downlink outer loop MCS offset.

This invention discloses an adaptive decision-making path planning method and system based on multi-level risk. The method includes: applying a gray clustering algorithm coupled with a long short-term memory network to a warning model for dynamically assessing and classifying the disability risk of a target object; generating an initial decision path based on the risk assessment results and a disability prevention and control knowledge base by solving a multi-objective optimization function that integrates expected effectiveness, feasibility, and burden; collecting effect deviations and execution deviations during path execution, and dynamically adjusting the weights of the multi-objective optimization function using a fuzzy weight controller to reconstruct the decision path; and iteratively updating the knowledge base based on group feedback data. This invention helps solve the problems of static disability risk assessment, rigid intervention plans, and fragmented management scenarios in existing technologies, achieving dynamic and accurate early warning of disability risk in the elderly, deep adaptive adjustment of intervention paths, and full-cycle closed-loop management.