10results about How to "Easy to optimize configuration" patented technology

The invention provides an early warning method in construction temporary warehouse electric power material supply, which comprises the following steps: establishing a three-dimensional electromagnetic field distribution model based on actual environment influence according to a relative position relationship between a highway construction temporary warehouse and a high-voltage transmission line, and obtaining electromagnetic environment theoretical distribution of each warehouse; in the temporary warehouse, electromagnetic sensors are arranged according to materials, highly sensitive to electromagnetic interference, of electronic components, and large-dynamic-range electromagnetic sensors are arranged according to materials, high in electromagnetic field induction, of metal materials; monitoring data collected by various electromagnetic sensors of the warehouse are transmitted back to a power grid dispatching center in real time through the low-power-consumption wide-area Internet of Things and are associated with warehouse material structure parameters, and a database is constructed; historical data of a power grid load and an electromagnetic environment are mined, an association rule of an electromagnetic interference characteristic and a power transmission line operation condition is extracted, and a collaborative prediction model of a multi-warehouse electromagnetic safety situation is established.

The invention discloses a cross-provincial flexible scheduling method and system for a pumped storage power station, and the method comprises the steps: monitoring the operation state of each unit of the pumped storage power station in a region, and displaying the basic data and operation conditions of each unit on a front-end web page, and formulating a pumped storage calling method according to the capacity demand of each small region in the whole large region for the pumped storage power station and the available capacity of the inter-provincial tie line, and finally realizing rear-end data transmission and development and display of a front-end data simulation platform by using a Django framework. The method has the advantages that the current situation that pumped storage is ignored under the background of vigorous development of new energy is solved, meanwhile, the blank that pumped storage participates in trans-provincial calling is filled up, the energy calling process is visually displayed through the computer technology, and the pumped storage calling frequency and efficiency are improved.

The invention relates to the technical field of financial management, and discloses a business and financial integrated financial centralized management system, which comprises an integrated data processing center for realizing real-time interaction and analysis of business data and financial data, and further comprises a multi-dimensional report generator in signal connection with the integrated data processing center, the generator can generate a multi-dimensional and dynamic report according to real-time interaction data of each independent financial department, and provides accurate data support for enterprise decision making. The financial centralized management system with business and financial integration is constructed, centralized management, real-time analysis and monitoring of financial data are achieved, the financial management level and the risk control capability are improved, and healthy and stable development of enterprises is ensured. On the basis, through deep learning and big data technologies, the system can provide more accurate decision support for enterprises, assist the enterprises to accurately grasp market pulses, optimize resource allocation and improve operation benefits.

The invention discloses a project achievement evaluation system combining literature measurement and a super network model. The system comprises a research basis acquisition module, a project element extraction module, a super network model construction module, a super network analysis and project evaluation module and the like. According to the system, all elements of science and technology projects are abstracted into network nodes, a hypernetwork model is used for carrying out correlation analysis on the project elements, and project achievements are comprehensively evaluated by combining methods such as literature metering, clustering analysis, balance score card evaluation and association rule mining. According to the method, the influence of project elements on project achievements is quantified, the accuracy and scientificity of project evaluation are improved, and the method has important significance in optimizing scientific and technological resource configuration and improving scientific and technological project management efficiency.

This invention discloses a machine learning-based intelligent driving behavior method. It acquires basic data, including driving behavior data from real-world road scenarios. Based on this data, it calculates feature vectors for each driving scenario. Then, based on these feature vectors, it uses a reinforcement learning algorithm to select driving scenarios. Finally, it generates driving behaviors within these scenarios using the same reinforcement learning algorithm. Finally, it updates the strategy to obtain the optimal model. This method aims to optimize the environmental perception and decision-making capabilities of the intelligent driving system, thereby improving its adaptability and reliability in real-world driving scenarios.

The invention discloses a method and a device for judging immunotherapy sensitivity, electronic equipment and a medium. The method comprises the following steps: acquiring a digital slice image of a target slice from scanning equipment; performing image preprocessing on the digital slice image to obtain a target image; inputting the target image into a pre-trained feature extraction model to perform feature extraction of the nebula features, and obtaining segmented images of the nebula features; wherein the feature extraction model is obtained through slice sample image training based on a convolutional neural network; based on the segmented image and the digital slice image, obtaining an area proportion of nebula features; and according to the area ratio, combining with a preset threshold range to obtain the sensitivity level of the target object to immunotherapy. The technical scheme of the invention shows remarkable beneficial effects in the aspects of improving pathological analysis precision, accelerating evaluation speed, optimizing medical resource utilization, promoting medical research and the like, has important significance in improving the treatment effect of a patient and realizing precise medical treatment, and can be widely applied to the technical field of image processing.

The invention discloses an online education management system based on a big data cloud platform, which comprises a system architecture and a function module constructed based on the big data cloud platform, and is characterized in that the system architecture comprises an infrastructure layer, a data acquisition layer, a data storage and management layer and a data analysis layer. According to the online education management system based on the big data cloud platform, through deep analysis of individual data of students, a learning scheme is customized for each student to achieve the purpose of personalized learning, the learning effect and the learning enthusiasm are improved, comprehensive data insight is provided for education institutions and teachers, and the education efficiency is improved. Based on intelligent management and analysis of teaching resources, accurate pushing and efficient utilization of the resources are achieved, resource waste is reduced, and by means of the advantages of the big data cloud platform, the system can easily cope with concurrent access of a large number of users, and the system is more intelligent. And functions and resources can be flexibly expanded according to service development requirements.

The invention provides a holographic imaging method and a corresponding holographic imaging device, the imaging device is provided with more than one projection limiting part group for limiting directional projection of a light source group or a display screen, and one projection limiting part group is provided with more than two projection limiting parts; the holographic imaging method comprises the following steps: 1.1, enabling projection limiting parts to move, enabling one end to sequentially or simultaneously project one or more light sources of the same pixel point or unit imaging area through projection limiting parts of the same projection limiting part, and enabling the other end to perform directional projection in the transverse direction, when one end of at least two projection limiting parts projects on the pixel point or the unit imaging area, the transverse projection directions of the other ends of the projection limiting parts are different; and 1.2, in the movement process of the projection limiting part group, the movement path of the projection limiting part does not take the corresponding pixel point as the circle center or the sphere center, so that the imaging surface of the imaging device plays different pictures in more than two projection directions in one frame period.

The invention discloses a power consumption scheduling method, device and equipment based on a state task network, and a medium, and the method comprises the steps: dividing the production process data of a target user into state nodes and task nodes through the state task network, obtaining operation data of different working conditions under each task node and material data under each state node; obtaining time-of-use electricity price data and power generation data; and based on the operation data, the material data, the time-of-use electricity price data and the power generation data, constructing a power utilization scheduling model according to a preset rule, and solving the power utilization scheduling model to obtain a power utilization scheme. The state task network gives consideration to the complexity of the actual production process of the user and the diversity of production targets, and comprehensively considers the operation data, the material data, the time-of-use electricity price data and the power generation data, thereby enabling the target user to reasonably adjust the power load, reducing the power cost, and improving the user experience. And photovoltaic consumption and optimal configuration of electric power resources are promoted.

The present application relates to the field of numerical control machine tool, specifically, a kind of full-automatic multi-process synchronous machining composite numerical control machine tool, it includes machine tool body, machine tool body includes processing table, three-jaw chuck for clamping the workpiece to be processed is rotationally arranged at processing table, annular mounting plate is rotationally arranged at the periphery of three-jaw chuck at processing table, annular mounting plate can move in horizontal plane, at least 3 tool driving motors are arranged at annular mounting plate, the rotating shaft of tool driving motor is provided with tool for processing workpiece, the tool at each tool driving motor is not identical;Tool driving motor can move along the radial direction of annular mounting plate to make tool process workpiece.The present application can work synchronously or continuously by multiple groups of different tools on annular mounting plate, without transferring workpiece between multiple devices, reduce the time of workpiece loading and unloading, handling and repositioning, greatly improve the overall efficiency of multi-process machining.