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Abstract: In the context of the "rural revitalization" era, in response to the problems existing in the planning of underground gas pipeline laying routes at the township level in the city, how to save the consumption of pipeline raw materials and avoid unnecessary waste, and other optimization problems, the minimum support tree theory model of operations research graph theory and Kruskal optimization algorithm, namely edge algorithm or circle avoidance algorithm, combined with sky map GIS measurement technology and computer network optimization lingo programming technology, studied the overall layout of the underground gas pipeline network in Liangzhou District, Weiwu City, Gansu Province, established a 0-1 integer network planning model, applied GIS measurement data for optimization calculation, and combined with the reality that natural gas is basically covered in the urban area, the original model was modified, the original lingo program was modified, and a new one was carried out. Optimize the calculation and ensure that the results are in line with reality, The correct and feasible planning layout scheme provides a scientific and reliable overall implementation plan for local urban and rural construction bureaus, urban and rural planning bureaus, natural resource planning bureaus, and underground gas pipeline construction units, and has important reference value; The minimum support tree theory model established by graph theory, Kruskal optimization algorithm, and optimization calculation program have universal applicability.Abstract: In the context of the "rural revitalization" era, in response to the problems existing in the planning of underground gas pipeline laying routes at the township level in the city, how to save the consumption of pipeline raw materials and avoid unnecessary waste, and other optimization problems, the minimum support tree theory model of operations re...Learn More
Abstract: Aiming at the problems of data management, sharing and data right confirmation, this paper proposes a multi-party, encrypted, collaborative and controlled sandbox data collaborative development environment. It studies the sandbox development and operation environment construction, destruction, cloud service orchestration and various operation resource scheduling methods. And the specific data resources and algorithm models required in the business system are dynamically loaded into a safe, controllable and virtual operation environment. The environment supports visual operation, supports different operating systems, supports on-demand loading of models and data within permissions, and ensures that data resources in the sandbox are safe and controllable. At the same time, this paper establishes a set of data resource contribution evaluation model in the application development environment to promote the sustainable sharing and sharing of data.Abstract: Aiming at the problems of data management, sharing and data right confirmation, this paper proposes a multi-party, encrypted, collaborative and controlled sandbox data collaborative development environment. It studies the sandbox development and operation environment construction, destruction, cloud service orchestration and various operation resou...Learn More
Abstract: Traditional manual laboratory management is time-consuming and labor-intensive, while intelligent laboratory management systems can greatly improve the efficiency of laboratory management and are also an important condition for scientific and standardized management of school laboratories. The intelligent laboratory management system is an advanced network system with laboratory management and experimental management as its core. It can provide users with laboratory information, view laboratory personnel, laboratory management and other functions, and can recognize faces when wearing masks. Laboratories are important places for scientific research and teaching. This article takes Loongson 2k1000la as the core, STM32 as the lower computer development board, connects multiple sensors, uploads data to Alibaba Cloud Ubantu16 server, and can be controlled and synchronized through a mobile app. It can also be visualized in the cloud to build an intelligent laboratory management system. The system will mainly include the following three functions: temperature and humidity detection, fire prevention, RFID based device usage management, facial recognition attendance, and personnel information management. Through this system, management personnel can real-time monitor the situation of the laboratory, achieve intelligent management of the laboratory, and ensure the prevention of safety hazards. The combination of hardware platform and cloud server expands the functional scope of the system, while also reducing the computational burden of MCU, which conforms to the design principles of the Internet of Things and provides possibilities for realizing facial recognition, environmental comprehensive analysis, and data visualization services.Abstract: Traditional manual laboratory management is time-consuming and labor-intensive, while intelligent laboratory management systems can greatly improve the efficiency of laboratory management and are also an important condition for scientific and standardized management of school laboratories. The intelligent laboratory management system is an advanced...Learn More
