13results about How to "Reasonable scheduling" patented technology

The invention relates to a virtual power plant bidding strategy optimization method based on a chaotic game optimization algorithm. The method comprises the following steps: generating an initial bidding strategy of a virtual power plant through chaotic mapping; each virtual power plant receives feedback information of the market, games by considering factors of cost, income, fluctuation of photovoltaic power generation, scheduling cost and attenuation of an energy storage battery and service life of equipment, and adjusts a bidding strategy of the virtual power plant; punishment income is applied to bidding behaviors violating market ethics or benefit distribution constraints; calculating the income of the power plant according to the adjusted strategy, and updating the bidding strategy of each virtual power plant; and repeating the game process until a convergence condition is reached, and outputting a virtual power plant bidding strategy. Compared with the prior art, the bidding strategy of the virtual power plant is more flexible and adaptive by using the randomness and unpredictability of the chaotic system, and meanwhile, the fairness, sustainability and healthy market development of the system are ensured by introducing ethical constraint and equipment life management.

The invention discloses a mine vehicle scheduling method, device and equipment and a storage medium. Comprising the steps of performing production configuration for a current working condition, and obtaining working condition related data based on configuration information; determining the state of each excavator and the state of each mine truck according to the working condition related data; and determining the working condition of the current working condition according to the state of each excavator and the state of each mine truck, and dispatching the mine truck based on the working condition. By determining the states of the excavator and the mine truck, reasonable allocation of vehicle resources is facilitated, idling or overuse of vehicles is avoided, optimal utilization of resources is achieved, production arrangement can be more suitable for the actual situation, production delay and resource waste caused by unreasonable configuration are reduced, and therefore the overall production efficiency of a mine is improved. And clear and accurate working condition and vehicle state information can be provided for mine managers by determining the working condition, so that the mine managers can make reasonable vehicle scheduling and management decisions, and the operation management level of the mine is further improved.

The invention discloses an operation tool management method and device, a readable medium and electronic equipment, a communication module is configured on an operation tool, the communication module is in communication connection with a management system, and the method comprises the following steps: receiving a calling signal through the communication module on the operation tool, determining the state information of the operation tool as a working state based on the calling signal; when the operation tool is in a working state, receiving operation information and positioning information through a communication module of the operation tool; determining current task information of the operation tool according to the operation information and the positioning information; and receiving a return signal through a communication module on the operation tool, and determining the state information of the operation tool as an idle state based on the return signal. The operation tool is transformed through the Internet of Things, the positioning information of the operation tool is determined through multi-source fusion positioning, and therefore real-time and intelligent management is achieved.

This application discloses a multi-agent collaboration method, apparatus, electronic device, and storage medium. The method includes, in response to a user-input query, determining the scope of agents to be invoked in a model decision-making stage. This model decision-making stage invokes at least process memory and summary memory. The process memory records the temporal trajectory, type, and triggering conditions of each agent's invocation, while the summary memory simplifies the memory information for each round of interaction. Based on the scope of agents to be invoked, the generated content of each agent is decomposed in a model generation stage, which invokes at least the summary memory. Finally, based on the generated content of each agent, a final output result is obtained. This application achieves a stronger understanding and decomposition capability for user-fuzzy questions, understanding user questions at the memory level, thereby invoking agents not mentioned in the user question and completing multi-agent collaboration.

The invention relates to a power system dispatching optimization method and system in an abnormal state of transformers, and the method comprises the following steps: collecting high-dimensional data of each transformer in real time, and constructing a high-dimensional data matrix; performing characteristic spectrum analysis on the high-dimensional data matrix by adopting a random matrix theory, and identifying an abnormal time period; constructing an augmented matrix in the abnormal time period to perform characteristic spectrum analysis on the transformer, and positioning an abnormal transformer; and based on the abnormal time period and the positioned abnormal transformer, a scheduling optimization model is constructed and solved by taking operation cost and carbon emission minimization as targets, and a scheduling optimization process in an abnormal state is completed. Compared with the prior art, the method has the advantages of improving the abnormal precision of the transformer, realizing stable operation of a power system and the like.

The present invention discloses an intelligent monitoring safety early warning method based on multi-view analysis in a video, which relates to the field of safety monitoring, including: judging whether the actual processing scheme used for a part to be processed is the processing scheme corresponding to the processed part; monitoring the process of replacing the equipment currently used by at least one machine tool; monitoring the scheduling of at least one transport vehicle; judging whether the processing speed of the machine tool matches the transportation speed of the transport vehicle according to the processing quantity of the part to be processed; monitoring the processing equipment of the machine tool during the processing, and adjusting the processing equipment according to the monitoring results; monitoring the transport vehicle, and issuing an early warning when a blockage occurs. By issuing an early warning for the scheduling during the operation of multiple machines, an early warning for the blockage or wear of the processing equipment that may occur during the processing, unknown safety issues caused by the use of mismatched processing methods can be avoided.

The embodiments of the present application provide an I / O offloading method, device, system and storage medium in a cloud environment. In the embodiments of the present application, a queue component is added to the CPU of the host, and it is innovatively proposed to use the queue component in the I / O processing process. Based on this, a virtual I / O device and a device queue corresponding to the virtual I / O device can be provided for the instances on the host through the queue component; within the CPU, the device queue is used to schedule the I / O requests that occur between the instance and the virtual I / O device; and the original I / O offloading card only needs to be responsible for listening to the I / O requests in the device queue and transferring the data related to the I / O requests. In this way, the device queue in the I / O processing process can be moved up to the CPU, so that in the I / O scheduling process, it can联动 with each component in the CPU, obtain the real-time loads of each core in the CPU, and thus more reasonably implement I / O scheduling instead of blindly scheduling, which can effectively improve the I / O processing efficiency. It should be noted that the "联动" in the original text seems to be a misspelling. It might be "联动" which is not a standard English word. I've translated it as "联动" for now. If it has a specific correct English expression, please let me know and I can adjust it.

The invention provides a hospital flow monitoring system, and relates to the technical field of medical systems, and the hospital flow monitoring system comprises the following operation steps: S1, a patient enters a hospital, inputs identity information, and clicks a start button through a self-service terminal; s2, the patient is inquired to fill in a pre-inquiry questionnaire in a self-service mode through the pre-inquiry program; s3, after the pre-inquiry questionnaire table is filled in, the pre-inquiry questionnaire table is subjected to department distribution after system identification; s4, the patient is shunted to a fever outpatient service, a doctor carries out preliminary diagnosis, and pre-inquiry is finished. According to the method, intelligent sign-in enqueue and intelligent shunting of the patients are realized by distinguishing the treatment types of the patients, the medical care working efficiency is improved and reasonable shift arrangement can be realized through flow monitoring analysis and information interconnection and intercommunication, the diagnosis and treatment pressure of medical personnel is reduced, and the diagnosis and treatment service of'one doctor, one patient and one doctor 'is implemented by grouping the admission of the patients, so that the diagnosis and treatment efficiency is improved. And the fever outpatient service order is optimized, the service quality is improved, resource allocation is balanced, and the medical experience of patients is greatly improved.

The present invention belongs to the technical field of hydrogen production by electrolysis, and specifically relates to a test system for accessing a hydrogen production system by electrolysis to a power grid, including an operation risk assessment module, an additional detection and analysis module, and a comprehensive analysis and early warning module. The present invention conducts a test on the access of the hydrogen production system by electrolysis to the power grid, analyzes whether a fault occurs during the operation, and handles the fault in a timely manner. By comprehensively evaluating a number of key operating parameters of the hydrogen production system by electrolysis after the access to the power grid, a comprehensive fault warning and risk assessment solution is provided. The design of the system not only improves the accuracy and response speed of fault detection, but also avoids the problem of frequent false alarms by reducing the reliance on single parameter monitoring, thereby optimizing the integration and operation of the hydrogen production system by electrolysis in the power grid. After the test, the system can be optimized according to the results of the test, and can be continuously used after the hydrogen production system by electrolysis is connected to the power grid.

This invention discloses a method, apparatus, computer device, and readable storage medium for sending messages in the field of data transmission. The method includes: acquiring a target message and determining the current network transmission rate; if the current network quality is high, detecting whether an important message is being received or sent at the current moment; if an important message is being received or sent at the current moment, detecting whether the target message meets a preset discard condition; if the target message does not meet the preset discard condition, storing the target message in a preset storage space, and after a preset time interval, returning to the step of determining the current network transmission rate until the target message is sent. Based on this, this invention ensures that the sending of any message occurs under conditions of good network quality and without affecting the sending or transmission of important messages, enabling the rational scheduling of resources related to message sending.

The invention relates to the technical field of construction management, and discloses a construction material consumption determination method, device and equipment, a medium and a program product. The method comprises the steps that a building information model and construction progress information corresponding to a target engineering project are acquired, and the building information model comprises sub-models corresponding to all construction parts; constructing a corresponding space structure tree based on the building information model; obtaining a plurality of preset standard processes corresponding to the target engineering project; based on a plurality of preset standard processes and the spatial structure tree, performing material quantification on each construction part to obtain a part material quantity; wherein the part material quantity is the total material quantity corresponding to each construction part; associating the space structure tree with the construction progress information to generate space-time information; and determining consumption information of each construction material based on the part material quantity and the spatio-temporal information. By implementing the technical scheme of the invention, the use amount of the construction material can be accurately determined, so that the construction management and the material configuration are optimized.

The invention relates to the technical field of reservoir monitoring, and particularly discloses a multi-modal small reservoir impounded water monitoring system, which comprises a data acquisition module, a model construction module, a data monitoring module, an impounded water decision estimation module and a database module which are electrically connected with one another, the data acquisition module obtains three-dimensional topographic data and water level data of the small reservoir through unmanned aerial vehicle surveying and mapping, and the model construction module is used for constructing a three-dimensional model of the small reservoir according to the three-dimensional topographic data and the water level data; the data monitoring module is used for acquiring real-time water level data of the small reservoir, the remaining reservoir capacity of the reservoir and the water inflow speed; the water storage decision pre-estimation module calculates a pre-estimation decision of the small reservoir through a pre-trained water storage estimation model according to the water inflow speed of the small reservoir and the residual reservoir capacity of the reservoir; the objective of the invention is to solve the problem that an existing reservoir prediction model is lack of pre-estimation and judgment of future water retaining operation of a plurality of small reservoirs.

The invention discloses a distributed comprehensive energy management system. The management system is connected with a property management platform and an energy network; the management system obtains energy network operation data from an energy network; the property management platform is used for transmitting energy network operation data to the outside; the management system manages the energy network according to the energy network operation data; wherein the energy network operation data comprises an energy peak value, an energy distribution condition and an energy use condition. According to the invention, efficient utilization and flexible scheduling of distributed energy are realized, and the energy utilization efficiency is improved.