6results about How to "Precisely formulated" patented technology

The invention relates to a solid fuel combustion characteristic test technology, and aims to provide a focusing single particle suspension variable atmosphere ignition combustion experiment device and method. A second microporous plate and a feed hopper are arranged at the top of a combustion chamber main body of the device, and a first microporous plate and a gas buffer cavity are arranged at the bottom; the two laser emitters are arranged in an included angle shape, and the energy of a single laser beam is lower than a fuel particle ignition threshold value; the two paths of laser intersect in the central area of the cavity to form a space energy focus, and the superposed energy of the two beams of laser can be absorbed at the position to reach an ignition threshold value; and light paths of diagnosis equipment in the optical acquisition module are intersected in a focus area. According to the invention, through a strategy of airflow disturbance and microwell plate blocking, particles completely move in airflow; the ignition behavior has spatial selectivity, the success rate is high and controllable, and the research is closer to the actual application scene. Through the design of single-particle fixed-point triggering, the system complexity and the control difficulty can be reduced, and the operation stability and the experiment repeatability can be improved.

The present application relates to the technical field of livestock data processing, in particular to a livestock and veterinary breeding data analysis system, which comprises: a state transition analysis module collects data of the breeding cycle of female livestock, integrates the data of all female livestock to construct a transition probability matrix, predicts the future state transition path of female livestock according to the transition probability matrix, and generates a female livestock state transition evaluation result. In the present application, by analyzing the data of each state of the breeding cycle of female livestock, the state change path of female livestock at different stages is determined, accurate prediction and quantitative evaluation of the state in the breeding cycle are realized, and the formulation of the breeding plan is more accurate. By evaluating the residence time and transition trend of each stage, the best breeding time is predicted, and the overall breeding efficiency is improved. Based on the similarity analysis of behavior data such as activity frequency, body temperature and number of reproductions, individual female livestock is divided into different behavior groups, and more targeted reproduction management strategies are formulated for different groups.

The application discloses a regional breeding strategy generation method based on corn trait big data, and relates to the technical field of agricultural breeding, comprising the following steps: collecting and integrating multi-source heterogeneous corn regional test data, extracting agronomic trait data, and constructing a structured data set; according to the agricultural ecological environment characteristics and the climate zoning method, the main corn producing areas are divided into a preset number of ecological regions; a multi-dimensional data space-time analysis framework is constructed, and the structured data set is sequentially subjected to global descriptive statistical analysis, trait space-time evolution analysis, trait coordination relationship analysis, trait feature dimension reduction analysis, and ecological zoning and feature portrait analysis; and based on the space-time analysis results, customized corn breeding strategies for different ecological regions are generated. Through the innovative multi-dimensional space-time analysis framework, the space-time evolution law and complex relationship of corn traits are systematically analyzed, and scientific decision support is provided for regional breeding.

This application provides a human-computer interaction method and system for emergency rescue scenarios. The method involves parsing and processing the multimedia information received from an emergency rescue requester to obtain an emergency rescue situation awareness model. Based on this model, a deep reinforcement learning algorithm is used to select possible emergency response strategies. Medical knowledge graph technology is then used to analyze the relationship between the requester's symptoms and possible causes to generate an emergency rescue guidance plan. Based on this guidance plan, a traffic flow prediction algorithm is used to optimize the rescue route in real time. Combined with road condition information collected using IoT technology, the route of the rescue vehicle is dynamically adjusted to generate an optimal rescue route and the latest rescue progress notification. Finally, the optimal rescue route and the latest progress notification are used to visualize the emergency rescue operation process, generating intuitive visual guidance. The technical solution provided by this application significantly improves the speed, accuracy, and effectiveness of emergency response.

The application provides a global marketing strategy real-time regulation and resource optimization system for a baking chain enterprise, belongs to the field of baking marketing management systems, and solves the problems of being unable to coordinate multi-store resources and regulate global marketing strategies and the like. The system comprises a data acquisition layer, a data processing layer, a core function layer, a business logic layer, a decision interaction layer and a data output layer. The core function layer comprises a three-dimensional database module, a strategy configuration interface module, a marketing strategy simulation module, a compliance verification module, a strategy data feedback and optimization module, a resource elasticity allocation engine module and a new store site selection evaluation module. The business logic layer comprises a business rule engine module, a permission and security control module and an event and notification module. The decision interaction layer comprises an intelligent decision module, a PC end management background and a mobile end APP. The data output layer comprises a data report output module, a chart output module and a system docking output module. The application can realize global marketing strategy regulation and resource optimization for multi-stores.

The invention relates to the field of material mechanical property testing device development, in particular to a variable ammonia-alcohol-hydrogen environment multi-type corrosion testing device and a variable ammonia-alcohol-hydrogen environment multi-type corrosion testing method.The variable ammonia-alcohol-hydrogen environment multi-type corrosion testing device comprises a first reaction kettle, a second reaction kettle and a third reaction kettle, the second reaction kettle is a constant displacement stress corrosion device, and the third reaction kettle is an electrochemical corrosion test device; the first reaction kettle, the second reaction kettle and the third reaction kettle are respectively connected with a gas distribution device for supplying gas and a tail gas recovery device for recovering tail gas through pipelines; the first reaction kettle, the second reaction kettle and the third reaction kettle are connected with the stepless pressure regulating device through pipelines; and the first reaction kettle, the second reaction kettle and the third reaction kettle are respectively connected with a water bath circulating temperature control device through water jackets. According to the device and the method, actual working conditions can be accurately simulated, and a constant-load tensile stress corrosion test, a constant-displacement stress corrosion test and an electrochemical corrosion test of ammonia-alcohol-hydrogen in different corrosion environments can be synchronously or asynchronously realized.