9results about How to "Strong subjectivity" patented technology

This invention relates to the field of fluid machinery testing technology, and in particular to a performance testing system shared by circulating pumps and submersible pumps. The system includes a data acquisition and control unit, a drive unit, a load adjustment unit, and an intelligent control and analysis server, configured to perform: startup and intelligent identification, digital twin model construction and test planning, adaptive basic performance sampling, boundary performance exploration, real-time safety monitoring and prediction, synchronous acquisition of multi-source heterogeneous information, and digital profile generation and model training. Before physical testing begins, this invention pre-calculates key feature points under all operating conditions through numerical simulation. Based on these pre-calculated key points, the system can automatically generate a dynamic test sequence that balances safety and efficiency, enabling subsequent real-world testing to be targeted and precise, capturing the core performance framework of the pump with the fewest possible tests, greatly improving the scientific rigor and efficiency of the testing.

The application discloses a safety-critical software failure mode identification method based on a large language model, comprising the following steps: constructing a safety-critical field knowledge base, injecting the safety-critical field knowledge base into an initial large language model through a P-Tuning v2 technology to obtain a large language model after first-time fine-tuning; constructing an instruction optimization data set, and performing multi-round iterative training on the large language model after first-time fine-tuning by using the P-Tuning v2 technology to obtain a large language model after second-time fine-tuning; using the large language model after second-time fine-tuning to predict failure modes of industrial failure text data, and based on the failure text data of the prediction failure, constructing a thinking chain data set, and using the thinking chain data set to continue training the large language model after second-time fine-tuning to obtain a safety-critical field specific large language model with ideal final effect; inputting failure text data of a failure mode to be identified into the safety-critical field specific large language model to obtain a failure mode identification result.

This invention belongs to the field of remote sensing technology and discloses a method for optimizing habitat quality parameters in the InVEST model based on Remote Sensing Ecological Indices (RSEI). This invention overcomes the technical bottleneck of traditional InVEST models, which rely on manual experience to set parameters and are difficult to update dynamically over time. By constructing a multi-source remote sensing data-driven RSEI, and utilizing its statistical characteristics and spatial distribution patterns across different land use types, it achieves objective quantification and dynamic updating of four key parameters: habitat suitability, threat weight, threat attenuation distance, and habitat sensitivity. Without requiring data from ecological monitoring stations, it directly incorporates continuous changes in ecological environment quality into the InVEST parameter system, resulting in higher objectivity, temporal consistency, and spatial autocorrelation in habitat quality calculations. This provides a novel technical approach for the automated and time-series assessment of regional-scale habitat quality.

The invention relates to the technical field of lithium ion battery manufacturing, in particular to a pole piece component floating judgment method. The method comprises the following steps: selecting a to-be-detected pole piece after coating and drying and before rolling, and performing gradient scraping to obtain a plurality of samples with different thickness layer areas; performing an electrochemical test on the sample in each layer region to obtain the first discharge capacity of the sample; and judging whether a component floating phenomenon exists or not according to the capacity change trend of each layer area, if the gram capacity continuously rises along with the increase of the scraping depth and the difference value of the adjacent layer areas is greater than or equal to 1mAh / g, judging that floating exists, and further dividing a mild grade, a moderate grade and a severe grade according to the capacity difference value delta C of the deepest layer and the outermost layer. The method is high in sensitivity, quantitative in result and suitable for quality control and process optimization of the negative pole piece of the lithium ion battery.

The application provides a kind of distribution terminal single-phase ground fault research and judgment capability test method and system based on true type test platform, builds encrypted wireless communication environment and terminal hardware detection system, constructs the true type test field of adjustable network frame and grounding mode and selects overhead-cable hybrid test line;In the middle section, end and overhead-cable transition node of line, set up collaborative fault point, trigger multiple types of single-phase ground fault through fault simulation device, after collecting terminal response data, by master station according to the quantitative evaluation of differentiated scoring and multidimensional ranking rule realizes the quantitative evaluation of research and judgment capability.The application also constructs the test system containing six functional units, realizes the systematic and standardized test of distribution terminal single-phase ground fault research and judgment performance under highly realistic environment, solves the problems that traditional test and field working condition are disconnected, single in assessment dimension and lack of objectivity in evaluation, provides reliable basis for equipment selection, algorithm optimization and distribution network fault handling capability improvement.

The application relates to the technical field of knee joint rehabilitation, in particular to a knee joint postoperative adaptive gradual rehabilitation training method based on pain detection, which comprises the following steps: initializing a knee joint rehabilitation machine, and making a patient wear an electromyographic acquisition device and the knee joint rehabilitation machine; the patient drives the rehabilitation machine to actively bend the knee joint, and records knee joint active activity angle data; the rehabilitation machine performs passive knee joint flexion movement, and collects training data required by a pain detection model; preprocessing and feature extraction are performed, a classifier is trained, and the pain detection model is obtained; a rehabilitation training mode is selected to train the patient; after the patient completes all the training, the patient actively bends the knee joint again, and records the knee joint active activity angle data. The application utilizes surface electromyographic signals of the patient to perform pain detection, realizes automatic identification of a knee joint activity range, and performs multi-mode training according to the training condition of the patient, thereby relieving the problem of tight resources of rehabilitation doctors.

This invention belongs to the field of spare parts management technology, specifically relating to a spare parts quota management auxiliary decision-making method based on the historical usage of spare parts in nuclear power plants. It includes the following steps: acquiring work orders and material requisition data; classifying historical maintenance spare parts requirements based on material information and relevant imported data, including categories such as preventative replacement, corrective replacement, or no replacement; acquiring and classifying lifespan data, with data types including complete data, left-truncation data, right-truncation data, and interval data; estimating lifespan distribution parameters; importing planned maintenance spare parts requirements; and forecasting spare parts requirements. Its advantages are: by applying the method of this invention, the difficulty of spare parts quota management can be effectively reduced, decision-making efficiency and accuracy can be improved, and ultimately, while ensuring the safe operation of the unit, spare parts inventory can be kept at a minimum level, thus reducing spare parts management costs.

A dynamic real-time planning method for collaborative search scenarios is proposed. Based on the initial position of the swarm and the boundary of the unfamiliar area to be explored, the method estimates the total search path length of each unmanned surface vessel (USV) unit through an optimization algorithm and autonomously arranges the search areas of each unit in the USV swarm. Compared with existing technologies, this invention enables the USV swarm to grasp the global situational information of the area to be explored as quickly as possible, while autonomously deciding the task status and path planning of each unit in the swarm based on the current situation. This mitigates the impact of uncertainties in the actual exploration process and ultimately minimizes the total time for multi-target search.

The application discloses a kind of civil aviation control system sub-security state hawk-dove game regulation methods, step 1) collection air traffic control system operating data;Step 2) according to the information obtained in step 1) establishes hawk-dove game model;Step 3) according to system operating data, the key variable in the above model is valued;Step 4) calculate risk disturbance and fitness take hawk strategy Nash equilibrium probability;Step 5) calculate the probability that the control system changes to different states, and provide corresponding regulation method.The civil aviation control system sub-security state regulation method provided by the application is an objective evaluation method in the field of air traffic control safety, which can quantitatively analyze the operation trend of the control system in the sub-security state, move the risk control threshold forward, avoid the occurrence of unsafe events, and realize the transformation of the control system from the sub-security state to the security state.