发电协同调度一体化API数据

基于传统编程构建规则算法体系，依据水电调度规范，通过条件分支逻辑关联水情、闸门、流量等全链路数据，分类短期、中期、极端工况数据维度；以统计运算核算来水预测值、机组负荷适配参数等。校验数据一致性，多字段匹配整合分散数据，剔除无效信息。规则算法可配置核验，保障数据输出适配不同调度场景需求。A rule-based algorithm system is constructed via traditional programming, adhering to hydropower dispatch regulations. It connects full-stack data covering hydrological conditions, gate parameters, flow rates and other relevant information through conditional branch logic, and categorizes data dimensions into short-term, medium-term and extreme operating conditions. Statistical operations are applied to calculate inflow forecast values, unit load adaptation parameters and other related indicators. The system conducts data consistency verification, integrates scattered data via multi-field matching, and removes invalid information. Additionally, the rule-based algorithm supports configurable verification, ensuring that the output data meets the demands of various dispatch scenarios.

搜集汇总

背景与挑战

背景概述

该数据集规模为14.2GB，每日更新，专为水电厂发电调度决策设计。它通过整合水情、降雨、流量等多维度数据，支持短期负荷调整、中期发电计划制定以及极端工况下的防洪预案，基于传统编程规则算法确保数据一致性和场景适配性，涵盖水位、面降雨量、河网径流等关键字段。