9results about How to "Realize full traceability" patented technology

A multi-channel integrated device testing system and method includes hardware devices and a PC testing tool. The hardware devices include a USB interface, a wired network interface, a wireless communication module, a Bluetooth module, I / O ports, buttons, and a solid-state system. The USB interface, wired network interface, wireless communication module, Bluetooth module, I / O ports, and buttons are used to establish electrical connections and data interaction paths with a development board. The solid-state system runs on the development board and controls each interface through a driver program, completing the overall functions of signal acquisition, data communication, and peripheral management. The PC testing tool includes a connection management module, a device discovery module, a test execution module, a result processing module, a status configuration module, and a Bluetooth interaction module. This system supports multiple connection methods, integrated testing functions, precise device selection, flexible configuration of judgment criteria, and deep Bluetooth testing capabilities, enabling efficient and stable automated device testing.

This invention relates to the field of equipment upgrade technology, and in particular to an OTA method and system based on a master node for multiple types and multiple physical links. The method includes: the cloud sending all device models requiring OTA and their corresponding program files to the master node; the master node matching and filtering to determine the device models to be upgraded; the master node selecting a device model and broadcasting an OTA matching session; the master node waiting for a preset time, receiving matching responses from slave nodes, and summarizing them to form a list of upgradable devices; the master node performing multiple rounds of broadcast OTA upgrades for that device model; repeating the broadcast upgrade to complete the broadcast upgrades for all device models to be upgraded; for devices where the broadcast upgrade fails, the master node initiating a point-to-point unicast OTA upgrade; and the master node summarizing the upgrade results and reporting them uniformly to the cloud. This invention, based on master node OTA, can broadcast files sent from the cloud to each slave node to be upgraded, thereby supporting mixed OTA upgrades for multiple types and multiple physical links.

The utility model relates to crystal bar code spraying equipment field especially relates to a kind of crystal bar automatic code spraying equipment. Including support frame, furnace table and code spraying subassembly, furnace table is installed in the inner wall of support frame, code spraying subassembly is located in the outer wall of furnace table, code spraying subassembly includes annular rail, annular rail is fixedly connected with the outer wall of furnace table, the inner wall of annular rail is slidably connected with several sliding blocks, the upper surface of sliding block is fixedly connected with gear ring, the upper surface of gear ring is fixedly connected with baffle, the side of baffle is fixedly connected with electric push rod, the output end of electric push rod is fixedly connected with energy storage device, energy storage device is installed with laser code spraying head in the side away from electric push rod. The utility model provides a kind of crystal bar automatic code spraying equipment with the advantage that laser code spraying head can be automatically controlled to spray code on crystal bar, can improve the application range of code spraying equipment, without personnel manually handwrite furnace table number and other information on crystal bar, can cancel the use of paper with work order, can realize the whole process traceability of crystal bar information.

The embodiment of the application provides a kind of based on dynamic knowledge graph and multi-source data fusion's marine pasture intelligent site selection decision system and method, it is related to the technical field of marine information technology and intelligent decision-making technology.Its method includes: obtaining the multi-source heterogeneous data covering candidate sea area, and generating dynamic metadata label for data unit in the multi-source heterogeneous data;Based on the multi-source heterogeneous data and external knowledge source, the knowledge graph of the field of marine pasture site selection is constructed;Based on the knowledge graph, a dynamic association rule base is constructed;According to the site selection constraint condition input by the user, the knowledge graph and the dynamic association rule base, the recommended site selection area of the candidate sea area is generated.Through the application, the problem of low site selection decision accuracy is solved, and the effect of improving site selection decision accuracy is achieved.

This invention relates to the field of data processing, specifically to a blockchain-based method for de-identifying and verifying enterprise-level user data throughout its entire lifecycle. The method includes: acquiring qualification information corresponding to user nodes to be uploaded to the blockchain; reviewing the qualification information to obtain review results; determining whether the user nodes meet the requirements for uploading to the blockchain based on the review results; collecting data from user nodes that meet the requirements for uploading to the blockchain; dividing the data into data storage and data flow stages based on the data lifecycle stages; calculating the sensitivity coefficient of the data in the current lifecycle stage; determining the de-identification algorithm for the current lifecycle stage based on the sensitivity coefficient; performing de-identification processing on the data based on the de-identification algorithm; generating blockchain-based notarization and verification credentials for the data; and performing full-process integrity and compliance verification, which can reduce the risk of leakage of sensitive enterprise-level user data and improve data management efficiency.

This invention discloses a plastic bottle blow molding system and method, relating to the field of plastic packaging molding technology. The system includes a zoned precision preheating mechanism, a multi-stage air-blowing stretch blow molding mechanism, an internal and external composite cooling mechanism, and a PLC control mechanism, arranged sequentially along the preform processing direction. The method includes preform conveying, zoned precision preheating, multi-stage air-blowing stretch blow molding, internal and external composite cooling, and demolding. This invention improves the preform temperature control accuracy to within ±1℃ and reduces wall thickness deviation to within ±0.05mm through independent cooling at the bottle mouth, 5-segment axial zone heating, and PID closed-loop temperature control. The precise synchronous coordination of three independent air paths with the stretch rod movement solves molding defects such as wrinkles and pitting. Synchronous cooling through a double-spiral reverse cooling channel outside the mold and a through-type cooling channel inside the stretch rod shortens the molding cycle from 3-4 seconds to 2-2.5 seconds.

The invention relates to the technical field of automatic sampling equipment, and discloses a sampling method of an intelligent sampling all-in-one machine, which comprises the following steps in sequence: identity verification, double-loop electrostatic discharge, multi-channel safety linkage detection, sampling bottle taking and placing, material sampling, sampling bottle returning, operation recording and the like. The intelligent sampling all-in-one machine integrates a controller, an identity verification module, an electrostatic discharge device, a safety interlocking device, a storage barrel with an unlocking driving mechanism and other parts, and is matched with a limit switch to realize full-process automatic control of sampling; the problems that in traditional manual sampling, sampling bottles are prone to being lost and damaged, the process is not standardized, and the safety risk is high are solved, the method has the advantages of being standard and controllable in operation, comprehensive in safety protection, accurate in sampling bottle control, adaptive to anti-explosion scenes and the like, is suitable for industrial scenes such as tank car material sampling, can remarkably reduce the consumable cost and potential safety hazards, and has good application prospects. And the sampling efficiency and the quality traceability are improved.

The invention relates to the technical field of automatic processing and intelligent detection of electronic components, in particular to an intelligent detection method for wire winding and tin soldering of a high-voltage pack based on visual positioning. The equipment comprises a feeding module, a clamp positioning module, a winding module, a tin soldering module, a detection module, a discharging and sorting module and an integrated master control unit. The method is applied to full-automatic processing equipment for the ignition coil. Comprising the following steps of system initialization and parameter configuration, automatic feeding and precise positioning under visual guidance, full-automatic winding with visual correction and tension cooperation, automatic tin soldering and temperature control sizing under visual positioning precise control, visual and electrical composite online detection and visual auxiliary discharging and whole-process quality tracing. According to the invention, multi-station visual positioning and all links of full-automatic processing of the high-voltage pack are deeply fused, and cooperative scheduling of the integrated master control unit is combined, so that accurate control and intelligent detection of the whole winding and soldering process of the high-voltage pack are realized.

This invention discloses a self-diagnosis and rapid fault location method for a hydropower station monitoring system, comprising the following steps: Step 1: Full-dimensional data acquisition and preprocessing of the monitoring system; Step 2: Multimodal feature fusion and extraction; Step 3: Hierarchical self-diagnosis verification; Step 4: Rapid fault location; Step 5: Fault level classification and emergency response linkage; Step 6: Adaptive optimization of the diagnostic model; Step 7: Diagnosis and fault log retention. Employing a hierarchical diagnostic mode that links the edge and cloud, combined with multimodal feature fusion, it enables comprehensive self-diagnosis of the monitoring system's own health status, effectively reducing false alarms and false negatives, while balancing real-time performance and accuracy. Based on fault causal graphs and Bayesian network correlation analysis algorithms, combined with the system topology, it can quickly locate the specific location of the fault source, the faulty component, and the triggering factors, solving the problems of delayed fault location and large errors in existing technologies.