5results about How to "Avoid excessive volatility" patented technology

The invention relates to the field of scientific research project management, in particular to an intelligent management and control system and method for scientific research project budget execution, and the system comprises a data collection module, a budget analysis module, an execution monitoring module, a feedback adjustment module and a decision support module. Through modular design, the system realizes whole-process monitoring and intelligent adjustment of scientific research project budget. The data acquisition module can acquire budget-related data in real time, so that the timeliness and accuracy of data input are ensured; the budget analysis module generates stage budget demand prediction based on the collected multi-dimensional data to ensure that budget distribution is more reasonable; the execution monitoring module provides real-time budget execution monitoring through a deviation monitoring algorithm, so that the risk of hyper-branch or insufficient budget is reduced; the feedback adjustment module dynamically adjusts budget allocation according to monitoring feedback, and the adaptability of fund allocation is ensured; the decision support module provides management suggestions, and improves the accuracy and decision efficiency of scientific research project budget management.

The invention relates to the technical field of electricity price prediction, in particular to a point-interval electricity price prediction method based on a weight combination mechanism and deep learning, and the method comprises the following steps: S1, data collection and processing: collecting electricity price data of an electricity market, and obtaining original data; s2, data decomposition: decomposing the original data; s3, electric value prediction: determining a weight by using a multi-objective optimization myxus MOSMA algorithm to obtain a final electricity price prediction value; s4, interval prediction based on kernel density estimation: after a final electricity price prediction value is obtained, calculating a distribution condition of prediction errors through a kernel density estimation method, and calculating a confidence interval of the electricity price according to a set confidence coefficient; according to the invention, participants in the electricity market can participate in market competition more fairly, information asymmetry and speculation behaviors in the market are reduced, and the overall operation efficiency of the electricity market is improved.

The utility model discloses an automatic ammonia preparation device for adding ammonia water into condensed water in a multi-point manner, and belongs to the technical field of industrial water treatment. Comprising an ammonia preparation unit, a multi-path adding unit and a control unit, the ammonia preparation unit comprises an ammonia water storage tank, a desalted water tank, a mixing and diluting tank, a first metering pump, a second metering pump and an online conductivity meter; the ammonia preparation unit is used for mixing ammonia water and desalted water in proportion; the multi-path adding unit comprises a main distribution pipeline and at least three parallel adding branches, each adding branch is communicated with a regulating valve, a flow meter and a static mixer, and the multi-path adding unit is used for adding mixed ammonia water to a plurality of adding points of the condensed water system; the control unit comprises a PLC (Programmable Logic Controller) and a pH sensor, the pH sensor is used for monitoring the pH value of condensed water at each feeding point, the PLC is in signal connection with the pH sensor, the online conductivity meter, the regulating valve and the flow meter, and the control unit is used for realizing dynamic flow distribution.

The utility model relates to solid -state lithium ion battery detection technical field, and disclose a kind of solid -state lithium ion battery detection system, including detection host computer and the battery compartment for placing solid -state lithium ion battery, the power interface for maintaining the charge-discharge state of solid -state lithium ion battery in battery compartment is equipped on the detection host computer, main controller is equipped in the detection host computer, the main controller includes pressure unit and temperature unit, in the utility model, modular pressure unit, temperature unit are handled to battery compartment with pressure, temperature data, wherein pressure unit, temperature unit can be independently enabled, to measure the real temperature of the battery under test in real time accurately, realize accurate temperature control, improve the authenticity of the data of experimental process, respectively independent and centralized integrated pressure unit, temperature unit can also realize the pressure change in the charge-discharge process under different temperatures in the experimental process of battery compartment, to make the experimental application scene more rich.

The invention relates to the field of hydraulic control, in particular to a hydraulic circulation control system which comprises a hydraulic pump, an energy accumulator, a pressure detection module, a pressure demand determination module, a control adjustment module and an execution detection module. The hydraulic oil pressure is monitored in real time through the pressure detection module, the operation mode recognized by the pressure requirement determining module is combined, the control adjusting module adjusts the power output of the hydraulic pump and the operation state of the energy accumulator in real time, it is ensured that the system can make a quick response according to actual requirements, and the optimal hydraulic pressure level is maintained; the energy accumulator enables the system to store excess energy when the pressure exceeds a target value and release the stored energy when the pressure is insufficient and abnormal pressure loss is generated, the energy utilization efficiency of the system is remarkably improved, energy waste is reduced, by distinguishing pressure demand modes, the system can flexibly adjust the response strategy according to different operation scenes, and the energy utilization rate of the system is improved. The adaptability and performance of the amphibious vehicle in various complex environments are improved.