14results about How to "Reliable acquisition" patented technology

A communication terminal (10) includes control means for generating a subscription concealed identifier (SUCI) including a subscription permanent identifier (SUPI) concealed using a predetermined protection scheme, and a protection scheme identifier identifying the protection scheme, and transmission means for sending the SUCI to a first network apparatus during a registration procedure, the SUCI being sent for a second network apparatus to de-conceal the SUPI from the SUCI based on the protection scheme used to generate the SUCI.

The invention discloses an online reasoning-oriented verifiable data processing method, device and system, and the method comprises the steps that an evidence obtaining bypass module, an evidence bus and an evidence bin are configured in advance, the evidence obtaining bypass module triggers an abnormal event based on the evidence prompt in the reasoning process, and the evidence obtaining bypass module determines a time window including the triggering moment, an event header is created, an event abstract is generated and transmitted to an evidence bin through an evidence bus, and the event abstract comprises a decision track section and a calculation specification section at the triggering moment; collecting an evidence full text in the time window, dividing the evidence full text into a plurality of evidence blocks and configuring corresponding block indexes; sequentially transmitting the block index and the evidence block to an evidence bin through an evidence bus, generating an integrity verification field, and sending a sealing identifier; and the evidence bin performs integrity verification on the evidence packet after receiving the storage identifier, and if the verification is passed, the evidence packet is modified to be in a storage state. According to the method, verifiable evidence recording, chained storage and playback processing can be carried out on data of abnormal events in the online reasoning process.

The invention relates to the cross technical field of wireless communication and intelligent agriculture, in particular to a NOMA-SIC uplink weighting and rate maximization method based on an unmanned aerial vehicle (RIS), and the method comprises the steps: constructing an uplink system composed of a fusion center, an unmanned aerial vehicle reconfigurable intelligent surface and a sensor node, and enabling the fusion center to employ a continuous interference elimination technology, and realizing multi-user concurrent transmission based on power domain multiplexing of non-orthogonal multiple access. According to the method, fractional programming, quadratic transformation and successive convex approximation technologies are jointly used, phase configuration of the RIS and sensor transmitting power are alternately optimized, beam forming vectors are received by a fusion center, and under the condition that the power, phase and service quality constraint conditions are met, the system weighting sum rate is maximized. The advantages of NOMA spectrum multiplexing and SIC interference elimination are brought into full play, the transmission reliability and the spectrum efficiency are remarkably improved, and the method is suitable for low-delay and high-reliability acquisition of intelligent agricultural large-scale sensor data and can be expanded to the scenes of industrial Internet of Things, emergency communication and the like.

A wind tunnel test model structure with a high slenderness ratio belongs to the field of wind tunnel test vehicle design technology. It solves the problems of large vibration amplitude and low data accuracy in existing technologies during testing. Key technical points: The rectifier cap, front cylinder, and front port flange are sequentially bonded together, with the front port flange connected to the front end of the central steel shell; the rear port flange, rear end cylinder, and rear end plate are sequentially bonded together, with the rear port flange connected to the rear end of the central steel shell; a balance sleeve is fitted onto the balance, the central steel shell is fitted onto the balance sleeve, the balance front cone tension plate is connected to the central steel shell, the front end of the balance is connected to the balance front cone tension plate, and the rear end of the balance is connected to the tail end of the balance sleeve. This invention significantly reduces the vibration amplitude of the model structure during testing, avoids damage to the model and equipment caused by resonance, and improves the safety and stability of the entire wind tunnel high angle-of-attack test process; it effectively suppresses the interference of model vibration on measurement results, ensuring accurate and reliable test data acquisition.

The invention provides a clinical data intelligent collection method and system and a storage medium, and belongs to the technical field of data analysis, and the method specifically comprises the steps: determining the change conditions of clinical data of different dimensions in a treatment process, determining a correlation coefficient between the clinical data of different dimensions and the disease type in combination with a correlation condition between the clinical data of different dimensions and the disease severity of the disease type, and obtaining a historical collection data volume of the clinical data of different dimensions in historical patients with different disease severity; and the acquisition strategies of the clinical data of different dimensions are determined in combination with the correlation coefficients of the clinical data of different dimensions and the disease types, so that the reliability of the acquisition result of the clinical data is ensured.

The utility model relates to the technical field of coal mine equipment monitoring, in particular to a data acquisition system for fault diagnosis of coal mine large-scale equipment, which comprises a plurality of monitoring units, a plurality of switches and a server. Each monitoring unit and the server are respectively connected with a switch; the switches are connected through optical cables to form an Ethernet ring network; each monitoring unit is arranged at a large-scale device, each monitoring unit comprises a monitoring substation, a camera and a plurality of vibration sensors, each vibration sensor is arranged at a key part of the large-scale device, and the vibration sensors comprise a wired vibration sensor and a wireless vibration sensor. The cameras are respectively connected with the monitoring substations in a wired or wireless mode, and the monitoring substations and the cameras are connected with the switch. According to the utility model, reliable acquisition and transmission of fault diagnosis data can be realized.

A travelling vehicle includes: a body provided with a small marker and a large marker; an imager; a pattern recognition unit; and a state determination unit configured to determine that the travelling vehicle that is another travelling vehicle is present in at least one of the front and the rear of a subject travelling vehicle when the small marker or the large marker is recognized. The large marker is configured to be of a size that does not entirely fit within an image capturing range of the imager equipped in the other travelling vehicle located less than a predetermined distance from the subject travelling vehicle. The small marker is configured to be of a size that entirely fits within the image capturing range of the imager equipped in the other travelling vehicle when a distance from the subject travelling vehicle is less than the predetermined distance from the subject travelling vehicle, the small marker being arranged inside a region where the large marker is configured. The large marker has a display pattern including a first region, a second region with a lower reflectance than a reflectance of the first region, and a region where the small marker is arranged. The small marker has a display pattern including a third region with a lower reflectance than the reflectance of the first region and a fourth region with a lower reflectance than the reflectance of the third region and a lower reflectance than the reflectance of the second region.

The present invention relates to a rotating oscillating heat pipe heat transfer multi-physics field testing device and an operating method thereof, which are used to realize multi-physics field monitoring during the operation of the rotating oscillating heat pipe. A magnetically coupled resonant wireless power supply system and a heating element are used to provide a stable and controllable heat load for the evaporation end of the oscillating heat pipe, and sensors such as thermocouples and pressure probes are used to detect the temperature, internal pressure and other multi-physics information of the rotating oscillating heat pipe. The signal processing and conversion are realized by a signal processing module and a microcontroller that follows the rotation of the oscillating heat pipe, and the data is sent to a data acquisition system on a PC by wireless communication. Since the rotating part in the device of the present invention does not have physical contact with the external environment, it can reduce equipment wear, reduce signal interference, and realize stable and reliable acquisition of multi-physics fields such as temperature, pressure distribution and heat transfer performance inside the rotating oscillating heat pipe.

The invention relates to a front opening type wafer transfer box, semiconductor manufacturing equipment and a semiconductor manufacturing system. The front open type wafer transfer box is used for detecting a microenvironment in semiconductor manufacturing equipment, and comprises a front open structure formed by a bottom plate, a first side wall, a second side wall, a top wall and a back wall, a plurality of slots for fixing wafers are formed in the first side wall and the second side wall, and the open type wafer transfer box further comprises a fixing plate, the fixing plate is placed on the slots in the first side wall and the second side wall, and the particle sensor is arranged on the fixing plate and used for sensing the particle amount of the microenvironment. According to the scheme comprising the front-open type wafer conveying box, the risk that parts of semiconductor manufacturing equipment are damaged does not exist when the microenvironment is detected, extra pollutants cannot be introduced into a microenvironment area of the semiconductor manufacturing equipment, microenvironment data collection is more reliable, manual operation is not needed, and the detection efficiency is improved. And the labor and time cost for detecting the microenvironment is greatly saved.

This invention relates to a fully automated train departure safety system and method based on gap detection bypass. The system includes: a gap detection system that receives bypass operations from the door local control box (LCB) and the platform local control panel (PSL), and outputs bypass status information; simultaneously detecting obstacles between the platform door and the train door and outputting obstacle information; a computer interlocking system (CI) that collects the bypass status information and obstacle information output by the gap detection system and interacts with the area controller (ZC) and the onboard controller (CC); the area controller (ZC) processes the departure logic based on the bypass status information and obstacle information, and sends train control commands to the onboard controller (CC); and the onboard controller (CC) executes the specific train control commands. Compared with existing technologies, this invention fundamentally solves the safety blind spot problem caused by the single monitoring path in existing technologies.

This invention provides a parking charging control method and system for plug-in hybrid heavy-duty trucks, comprising the following steps: real-time monitoring of vehicle status signals; when the vehicle status signals meet preset parking charging conditions, disabling the auxiliary braking function of the auxiliary brake switch and enabling the auxiliary brake switch to adjust parking charging parameters; acquiring the current gear signal of the auxiliary brake switch and resolving the parking charging parameters corresponding to the current gear signal according to a preset mapping relationship; controlling the engine to charge the power battery until the real-time state of charge of the power battery reaches the target state of charge. This invention reuses the vehicle's existing auxiliary brake switch, enabling the switch to switch its function when parking charging conditions are met, transforming it from an auxiliary braking control function to a parking charging parameter adjustment function, thus achieving convenient adjustment of parking charging parameters without adding additional hardware.

This invention discloses a high-efficiency adaptive dual-mode data acquisition method, device, equipment, and medium, belonging to the field of communication technology for novel power distribution systems. The method first constructs an objective function and determines constraints with the goal of maximizing network utility, defined as the difference between network operating benefits and network operating costs. Then, a hierarchical decoupling strategy is employed to solve the objective function, including: solving for the optimal network topology under a given set of hovering points using the block coordinate descent method to minimize network operating costs; solving for the optimal computing resource allocation scheme using the Lagrange function to maximize operating benefits; and searching for the optimal set of hovering points using the number of hovering points as the action variable based on a deep reinforcement learning framework. Finally, a fixed or mobile data acquisition mode is adaptively selected based on the solution results. This invention resolves the contradiction between energy consumption and data integrity in UAV data acquisition, achieving synergistic optimization of system energy efficiency and reliability.

The invention provides an industrial fiber cloth tensile detection device and a detection method, and relates to the technical field of tensile detection. The detection table is of a long-strip-shaped structure, the digital display end is fixedly installed at one end of the detection table, and the traction motor is fixedly installed at the other end of the detection table. A rail groove is upwards formed in the detection table along the long edge, and a traction detection end is slidably mounted on one side, far away from the digital display end, in the rail groove; one end, close to the digital display end, of the detection table is fixedly provided with a traction seat, one side, close to the digital display end, of the traction detection end is also provided with a movable traction seat, the lower end of the movable traction seat is clamped with the upper end of the detection table in a sliding manner, and to-be-detected cloth is arranged between the two traction seats. The device realizes rapidness, automation and high reliability of cloth clamping. The upper feeding roller and the lower feeding roller in the cloth feeding assembly are matched with the guide supporting tongue, the cloth can be stably and smoothly guided to enter a preset position, the edge of the cloth is effectively prevented from being curled or deviated, and a good foundation is laid for follow-up uniform stress.

The invention discloses an aluminum alloy spot welding quality detection method. The method comprises the following steps that S1, magnetic field signals generated in the aluminum alloy spot welding process are collected through a magnetic induction sensor array; s2, performing amplification processing on the magnetic field signal through a signal amplification circuit to obtain a magnetic field amplification signal; s3, carrying out feature signal extraction on the magnetic field amplification signal through a principal component analysis method; and S4, the spot welding quality result of the aluminum alloy is obtained according to the characteristic signals. The method is used for solving the technical problems that a spot welding quality detection method in the prior art has high requirements on a detection surface and is not suitable for aluminum alloy resistance spot welding quality detection.