CN-121979736-A - New energy power plant centralized monitoring system time period reporting system

CN121979736ACN 121979736 ACN121979736 ACN 121979736ACN-121979736-A

Abstract

The invention provides a period reporting system of a centralized monitoring system of a new energy power plant, which relates to the technical field of new energy power generation. And the data screening device screens the original operation data and the event records corresponding to the target time period to form a target information set, and the screening process adopts a field white list mode. According to the time period reporting system of the new energy power plant centralized monitoring system, the original operation data is accurately analyzed and screened through the synergistic effect of a plurality of modules such as the time period analyzing device, the data screening device and the state arrangement device, a target information set is formed, and aggregation and arrangement of equipment-level state evolution sequences are realized. By combining event records of different sources, aligning time labels and centrally arranging data of cross stations, the efficiency and accuracy of data processing are improved.

Inventors

LEI YINGLING
ZENG ZIWEN
FAN LEI
Zheng Zhuolong

Assignees

华润新能源投资有限公司宁夏分公司

Dates

Publication Date: 20260505
Application Date: 20251203

Claims (10)

1. New energy power plant centralized monitoring system period reporting system, which is characterized by comprising: The time period analysis device analyzes the time period selection instruction received by the monitoring human-computer interface to form a target time period parameter set; the data screening device screens the original operation data and the event records corresponding to the target time period to form a target information set, and the screening process adopts a field white list mode; the state arrangement device is used for carrying out aggregation and arrangement processing on the target information set to form an equipment-level state evolution sequence, wherein the aggregation and arrangement processing comprises homologous record merging, time tag alignment and cross-site centralized arrangement; The first-time fault judging device is used for carrying out first-time fault judging processing on the equipment-level state evolution sequence to form a unique first-time fault identifier, and the first-time fault judging processing comprises a debounce time window, a fault priority matrix and event causal chain extraction; And the report presentation device is used for carrying out report generation processing on the equipment-level state evolution sequence and the unique first-time fault identification to form a time period report page, wherein the report generation processing comprises data association, layered display and interactive control.
2. The system for reporting the period of the centralized monitoring system of the new energy power plant as set forth in claim 1, wherein the parsing process comprises a time scale parsing including year, month, day, time and minutes and a range parsing including stations and units.
3. The system for reporting the period of the centralized monitoring system of the new energy power plant as set forth in claim 1, wherein the update frequency of the field whitelist mode is 24h, the field whitelist mode comprises an equipment anomaly identification field, an operation state description field and an alarm record field, the equipment anomaly identification field comprises an abnormal equipment number and a first failure candidate causing outage, the operation state description field comprises an equipment state change type and a time tag, the equipment state change type comprises shutdown, standby, startup, failure, power limiting operation, communication loss and communication restoration, and the alarm record field comprises alarm time and alarm content.
4. The system for reporting the period of the centralized monitoring system of the new energy power plant as set forth in claim 1, wherein the homologous records are combined and adopt an event similarity calculation model, and the technical formula of the event similarity calculation model is as follows: ; Wherein, the Is the first Strip and the first The similarity coefficient between the events is 0-1, Is the first The time stamp of the bar event record, Is the first The time stamp of the bar event record, As a function of the time-dependent constant, Is the first The state vector of the bar event, Is the first The state vector of the bar event, As the time-weighting factor is used, Is a state weight coefficient, satisfies 。
5. The system for reporting the period of the centralized monitoring system of the new energy power plant as set forth in claim 4, wherein the step of performing the aggregation and arrangement process includes the steps of: s1, carrying out homologous record combination on the target information set to form a unified event node; s2, carrying out time tag alignment on the unified event nodes to form a state evolution sequence, wherein the time tag alignment adopts a linear interpolation and alignment method; s3, the cross-station centralized arrangement is carried out on the state evolution sequence to form the equipment-level state evolution sequence.
6. The system for reporting the period of the centralized monitoring system of the new energy power plant as set forth in claim 1, wherein the debounce time window filters repeated trigger events in the equipment-level state evolution sequence, the fault priority matrix comprises a fault category, an influence range and a duration, a source of a first-time fault is determined according to a result of the fault priority matrix, and an event node corresponding to the source of the first-time fault is used as a root node extracted by the event causal chain.
7. The system for reporting the period of the centralized monitoring system of the new energy power plant as set forth in claim 6, wherein the unique first-time failure identifier is generated according to the hierarchical structure of the root node, and the unique first-time failure identifier comprises a failure category code, a device number and a trigger time stamp.
8. The concentrated monitoring system period reporting system for new energy power plants of claim 1, wherein said data association comprises a bi-directional mapping of said unique primary failure identification and said device operational status information, said hierarchical presentation comprises a base layer, an event layer and a summary layer, and said interactive control comprises pop-up display, scroll viewing, hover cues and status playback.
9. The system for reporting the period of the centralized monitoring system of the new energy power plant as set forth in claim 8, wherein the base layer displays real-time status parameters of the operation of the equipment, the event layer marks time positions of abnormal events and first faults, and the aggregation layer displays station-level operation statistics and equipment comparison information.
10. The system for reporting the period of the centralized monitoring system of the new energy power plant as set forth in claim 1, wherein the period reporting page comprises a basic display area, an event alarm area, a statistical analysis area and an interactive control area.

Description

New energy power plant centralized monitoring system time period reporting system Technical Field The invention relates to the technical field of new energy power generation, in particular to a period reporting system of a new energy power plant centralized monitoring system. Background New energy power generation technology has been developed rapidly in recent years, especially in the fields of wind energy and solar energy. As equipment scales increase, centralized monitoring systems for power plants face higher monitoring demands. These systems are typically capable of displaying the status of the power generation equipment, warning messages, and fault reports in real time to help the operation and maintenance personnel respond quickly. However, existing monitoring systems have certain limitations. For example, conventional monitoring systems rely on manual operation, and monitoring personnel need to be on duty all the time to ensure that the operating state of the device is obtained in real time. Once the person on duty leaves, the real-time data of the equipment cannot be timely transmitted to the person, so that the person must rely on the post-browsing operation log to acquire the missing information, and therefore, the efficiency is low, and the labor cost is increased. In addition, conventional systems often do not have an effective automatic reporting mechanism, resulting in an inability to achieve immediate automated reporting when the device operating state changes. The Chinese patent publication No. CN113190583A discloses a data acquisition system based on the MQTT protocol, which adopts a gateway acquisition module to acquire the operation data of a photovoltaic power station and transmits the data to a storage module. The automatic reporting function after the equipment is off-line is not involved, and the automatic reporting function is mainly focused on real-time data acquisition and storage. Although the system has higher data transmission efficiency and system stability, an automatic reporting mechanism and a period reporting function lack cannot be provided for the equipment state of monitoring personnel after leaving the machine. The core defect of the prior art is that when the staff leaves, the system cannot automatically report the running state of the equipment. Especially, after the monitoring personnel return, the equipment state during the off-line period cannot be acquired in the first time, so that the safety monitoring and the timely maintenance of the equipment are affected. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a new energy power plant centralized monitoring system period reporting system, which aims to solve the technical problems that: how to solve the problems of low time period reporting accuracy, inaccurate fault judgment and unclear information presentation in a new energy power plant centralized monitoring system through the method processes of time period analysis, data screening, state arrangement, first fault judgment and the like. In order to achieve the purpose, the invention is realized by the following technical scheme that the new energy power plant centralized monitoring system period reporting system comprises: The time period analysis device analyzes the time period selection instruction received by the monitoring human-computer interface to form a target time period parameter set; the data screening device screens the original operation data and the event records corresponding to the target time period to form a target information set, and the screening process adopts a field white list mode; the state arrangement device is used for carrying out aggregation and arrangement processing on the target information set to form an equipment-level state evolution sequence, wherein the aggregation and arrangement processing comprises homologous record merging, time tag alignment and cross-site centralized arrangement; The first-time fault judging device is used for carrying out first-time fault judging processing on the equipment-level state evolution sequence to form a unique first-time fault identifier, and the first-time fault judging processing comprises a debounce time window, a fault priority matrix and event causal chain extraction; And the report presentation device is used for carrying out report generation processing on the equipment-level state evolution sequence and the unique first-time fault identification to form a time period report page, wherein the report generation processing comprises data association, layered display and interactive control. Preferably, the parsing process includes time scale parsing including year, month, day, time and minute and range parsing including stations and units. Preferably, the update frequency of the field whitelist mode is 24h, the field whitelist mode comprises an equipment abnormality identification field, an operation state description field and an alarm record fi