8results about How to "Eliminate missing detection" patented technology

The application belongs to the technical field of laser measuring instruments, and particularly relates to a laser measuring instrument and method for plate conveying rollers, which are easy to be interfered by intermittent and random roller surface stains, leading to detection failure or false reporting, and the following scheme is proposed, which comprises a detection platform, and two linear guides are arranged on one side of the detection platform. The laser measuring instrument and method for plate conveying rollers disclosed by the application have the advantages that through the fusion of laser and visual double sensing data, stains and real damage can be intelligently distinguished, and in-situ cleaning and re-measurement verification are combined, so that false reporting and missed detection are fundamentally eliminated, the data is absolutely reliable, the traditional separated multi-link detection, shutdown, manual investigation and cleaning are integrated into a continuous process of online, automatic and one-time completion, the non-scheduled downtime is greatly reduced, and the effect of changing from passive maintenance to predictive maintenance is achieved.

This invention provides a six-legged octopus robot device for underwater operations, relating to the field of underwater robot technology. The device comprises a main body, main tentacles, secondary tentacles, and a 360° rotating gimbal. The main tentacles integrate highly elastic TPU flexible tentacles and a miniature camera, while the secondary tentacles have built-in friction wheels for current-resistant anchoring. All components are detachably connected via standardized interfaces, making it suitable for efficient inspection and modular maintenance in complex underwater terrain. It solves the problems of traditional rigid robotic arms, such as difficulty in fitting into confined spaces, poor current-resistant stability, and high maintenance costs.

This utility model relates to a conveyor belt for arranging and rejecting bottles, comprising at least three parallel conveyor belt units, each operating at a different speed to form a speed gradient. The conveyor belt is divided into a front arranging area and a rear rejection area along its conveying direction. The rear rejection area is equipped with a first guide rod, the minimum distance L between the first guide rod and the outer edge of the conveyor belt satisfying: 0.51 × the short side length of the plastic bottle ≤ L ≤ 0.49 × the long side length of the plastic bottle. The front arranging area is equipped with a curved second guide rod, which gradually bends from the inside of the conveyor belt to the outside until it connects with the first guide rod. Its advantages are: utilizing the geometric characteristics of rectangular bottles and the gradually narrowing layout of the guide rods, the non-powered tilting rejection is not limited by the frequency of mechanical action, it can handle continuous abnormal bottles, can cooperate with equipment of any cycle time, and essentially eliminates the missed detection of bottles with incorrect orientation.

This invention discloses a method and system for compliance review of tourism planning based on a dynamic weighted resource coupling model. The method includes: constructing a general standard and a dedicated feature knowledge base; reviewing the integrity of electronic documents of the tourism plan to be reviewed using ontology mapping; extracting carrying capacity indicators and substituting them into the dynamic weighted resource coupling model to calculate theoretical facility requirements and compare them with actual designs; verifying the consistency of textual and graphical parameters through multimodal analysis technology; and finally generating a tiered early warning report. This invention solves the problem of insufficient scientific basis for resource allocation in tourism planning through a quantitative model, and achieves fully automated intelligent review from text to drawings, with continuous evolution capabilities combined with an expert feedback mechanism.

The invention belongs to the technical field of medical instruments, and particularly discloses a miniature fluorescence microscopic imaging and automatic counting system for onychomycosis detection. The system comprises an integrated handheld sampling imaging terminal, a cloud intelligent analysis server and a user interaction terminal. The terminal integrates sampling, fluorescence labeling and microscopic imaging functions, automatically completes sample processing and image acquisition, and uploads the sample processing and image acquisition to the cloud. And the server performs automatic identification, segmentation and counting of fungal targets on the image through a deep learning algorithm to generate a detection report. According to the invention, mechanical sampling, microfluidic fluorescence labeling and miniature fluorescence microscopic imaging are highly integrated in the handheld terminal, a closed and automatic sample processing and imaging assembly line is constructed, and the problem of leak detection caused by insufficient sampling depth and inconsistent dyeing operation in a traditional method is solved.

The application discloses a kind of visual selection methods and systems of photovoltaic quartz sand, it is related to the field of visual selection, including single-granulation feed arrangement module, for by vibration feeding, guiding alignment mechanism, photovoltaic quartz sand material is continuously transported at uniform speed, material is converted into single-particle discrete, equidistant ordered stable arrangement state;Capture module is used for the multispectral image acquisition of the boundary coincidence of the transport path of single-particle arrangement photovoltaic quartz sand material, obtains the multi-dimensional optical imaging original data of material surface layer and subsurface;The application synchronously collects the multi-dimensional optical data of material surface layer and subsurface by multispectral imaging, effectively captures the subtle impurity information that traditional detection mode is difficult to find, can accurately identify Al, Fe, Ca, Ti, Na, K and other multiple trace impurity elements, makes efficient shunt collection of qualified and unqualified material, effectively improves the precision, efficiency and stability of photovoltaic quartz sand selection.

This application relates to the field of suspension bridge cable strand processing technology, specifically disclosing a method for anchoring ultra-high strength cable strands. The method includes the following steps: collecting structural parameters of the anchor cup, wire separator, and wire bundle entities and constructing a digital twin model; collecting process parameters of the cable strand anchoring process and synchronously mapping them to the digital twin model; comparing the collected parameters with preset safety ranges, marking parameters that do not meet preset safety thresholds as process parameters to be adjusted; calculating the actual injection amount by collecting the alloy weight difference before and after anchoring; comparing the reverse displacement curve and injection amount of each anchor with historical qualified data intervals; if the range is exceeded, marking the anchor as a defective anchor and triggering an alarm; retrieving parameters of the defective anchor and analyzing them to obtain an optimized safety threshold range for the process parameters. The purpose of this patent is to solve the problem of lacking effective monitoring and control methods during the cable strand anchoring process, making real-time process monitoring and adjustment impossible.

The application discloses a power cable sheath insulation online state monitoring method, and mainly relates to the technical field of online state monitoring, and aims to solve the problems that the single parameter monitoring of the existing scheme is difficult to reflect the multi-field coupling mechanism of insulation deterioration, the infrared temperature measurement is affected by environmental radiation and surface emissivity, offline detection needs power-off operation, and response lag exists. The method comprises the following steps: taking a graph structure state flow as input, driving a physical simulation engine based on electromagnetic-thermal-current three-field coupling, simulating the transient charge migration path of partial discharge pulses in the XLPE sheath; solving the modified Maxwell equation set to generate the transient electromagnetic fingerprint corresponding to each node; inputting the insulation deterioration electromagnetic fingerprint into a multi-agent game model based on information entropy flow, regarding each cable node as an agent with state evaluation capability, and outputting a dynamic decision signal of the insulation health state.