CN-122017290-A - Multi-point data traffic overload processing method and system based on synchronous display

CN122017290ACN 122017290 ACN122017290 ACN 122017290ACN-122017290-A

Abstract

The application relates to the technical field of on-line monitoring and cloud computing technology intersection of power equipment, in particular to a method and a system for processing overload of multi-point data traffic based on synchronous display, wherein the method comprises the steps of receiving original monitoring data packets of a plurality of monitoring points; the method comprises the steps of generating a time-space synchronous global discharge event data set by aligning the time-space synchronous global discharge event data set to the same power frequency period coordinate system in real time and synchronously, calculating the global discharge event data set in parallel and in batches to separate local discharge pulses, determining synchronous phase information based on the local discharge pulses to generate discharge diagnostic patterns corresponding to a plurality of monitoring points, constructing a composite index for the structured monitoring data, characteristic data and the discharge diagnostic patterns according to preset identifiers, responding to a display request of a client, generating a synchronous display data packet and displaying based on the client. According to the application, all monitoring data are uniformly stored in the cloud database, so that data fragmentation is avoided, and historical data comparison, trend analysis and depth data mining are conveniently carried out.

Inventors

DING JIANJUN
YANG XINLIANG
XU LEI
CHEN MINJIE

Assignees

杭州群特电气有限公司

Dates

Publication Date: 20260512
Application Date: 20260113

Claims (10)

1. The multi-point data traffic overload processing method based on synchronous display is characterized by comprising the following steps of: establishing a unified cloud data receiving gateway to receive original monitoring data packets of a plurality of monitoring points, wherein the original monitoring data packets carry power frequency phase stamps and time stamps; Aligning the original monitoring data packet to the same power frequency period coordinate system in real time and synchronously based on the phase stamp and the time stamp so as to generate a time-space synchronous global discharge event data set; Parallel and batch calculation is carried out on the global discharge event data set to separate partial discharge pulses, and synchronous phase information is determined based on the partial discharge pulses so as to generate discharge diagnostic maps corresponding to a plurality of monitoring points; And constructing a composite index for the structured monitoring data, the feature data and the discharge diagnosis map according to the preset identification, responding to a display request of the client, and searching and assembling data and maps of a plurality of specified monitoring points in a selected time window and a phase interval based on the composite index in real time in a correlated manner so as to generate a synchronous display data packet and display based on the client.
2. The synchronous display-based multi-point data traffic overload processing method according to claim 1, wherein the discharge diagnosis map includes a PRPS map, and the discharge diagnosis map corresponding to the plurality of monitoring points is generated based on the synchronized phase information, comprising the steps of: Dividing a continuous time axis into equal-time slices according to a preset analysis granularity, and generating a PRPD map for a global discharge event of each equal-time slice; and sequentially arranging the PRPD patterns corresponding to each equal-length time slice according to a time sequence to form a three-dimensional discharge diagnosis pattern, wherein the discharge diagnosis pattern represents the discharge occurrence condition of a specific phase, amplitude and time.
3. The synchronized display-based multi-point data traffic overload processing method of claim 2, wherein the PRPD pattern is generated for each of the equally long time slices of global discharge events, comprising the steps of: Confirming and extracting synchronous power frequency phases and synchronous discharge pulse amplitudes based on the partial discharge pulses; and traversing all global discharge events, drawing a PRPD map by taking the power frequency phase as an abscissa and the discharge pulse amplitude as an ordinate, wherein the PRPD map represents the discharge occurrence frequency under the specific phase and amplitude based on the density of coordinate points.
4. The method for processing overload of multi-point data traffic based on synchronous display according to claim 3, wherein after traversing all global discharge events and drawing a PRPD map by using a power frequency phase as an abscissa and a discharge pulse amplitude as an ordinate, the method further comprises the steps of: obtaining a defect type corresponding to a historical PRPD map in a historical database, and taking the historical PRPD map and the defect type as a training data set; Training a prediction model based on the training data set, and inputting the PRPD map to a preset model to obtain a corresponding defect prediction type; A preliminary evaluation is determined based on the defect prediction type to form a diagnostic report, and the diagnostic report is presented in a visual interface.
5. The method for processing overload of multi-point data traffic based on synchronous display according to claim 1, wherein the original monitoring data packet is aligned to the same power frequency period coordinate system in real time and synchronously based on the phase stamp and the time stamp, wherein the synchronous alignment specifically comprises the following steps: and (3) taking the power frequency phase of the first arrived monitoring terminal as a reference standard or carrying out unified time service through a cloud server, and calibrating and compensating the phase stamps of all monitoring points.
6. The method for processing overload of multi-point data flow based on synchronous display according to claim 1, wherein a composite index is constructed according to the structured monitoring data, characteristic data and discharge diagnosis map according to a preset identifier, wherein the composite index adopts a multi-dimensional label index structure of a time sequence database and at least comprises a monitoring point ID, a data time stamp, a power frequency phase value and a signal characteristic type label, and data and maps in a time window and a phase interval are selected according to preset combination conditions based on the composite index.
7. The method for processing overload of multi-point data traffic based on synchronous display according to claim 6, wherein the step of selecting the data and the map in the time window and the phase zone according to the preset combination condition based on the composite index comprises the following steps: When a data query request is received, firstly analyzing query conditions in the request, wherein the conditions at least comprise a target equipment identifier, a signal type and a time range; Using the composite tag index to rapidly screen a storage point ID set conforming to the equipment identification and signal type conditions; Utilizing the main index and the metadata record to further locate a physical file with intersection between a data timestamp and a query time range from the storage point ID set; and only loading the located physical file for fine searching and data searching, and returning the data and the map in the selected time window and the phase interval.
8. The method for processing overload of multi-point data traffic based on synchronous display according to claim 1, wherein the steps of responding to the display request of the client and retrieving and assembling data and patterns of a plurality of specified monitoring points in a selected time window and phase interval based on the composite index in real time association to generate a synchronous display data packet and displaying based on the client, and comprising the following steps: The synchronous display data comprises associated data and view configuration information covering a plurality of monitoring points; Rendering a plurality of monitoring views based on the synchronous display data packet, and performing global linkage scaling and translation operation on the plurality of monitoring views on a time axis and a phase axis.
9. The method for processing overload of multi-point data traffic based on synchronous display according to claim 1, further comprising the steps of, after establishing a unified cloud data receiving gateway to receive original monitoring data packets of the plurality of monitoring points: judging whether the number of monitoring terminals or the data receiving rate of the original monitoring data packet exceeds a preset threshold value or not; When the number of the accessed monitoring terminals or the data receiving rate exceeds a preset threshold value, cloud dynamic load balancing is started, and data receiving and processing tasks are automatically distributed to a plurality of cloud server instances to be executed.
10. A multi-point data traffic overload processing system based on synchronous display, characterized in that a multi-point data traffic overload processing method based on synchronous display according to any one of claims 1 to 9 is executed, comprising: The data receiving module is used for receiving original monitoring data packets of a plurality of monitoring points based on the establishment of a unified cloud data receiving gateway, wherein the original monitoring data packets carry power frequency phase stamps and time stamps; the data preprocessing module is used for aligning the original monitoring data packet to the same power frequency period coordinate system in real time and synchronously based on the phase stamp and the time stamp so as to generate a time-space synchronous global discharge event data set; The core data processing module is used for carrying out parallel and batch calculation on the global discharge event data set so as to separate partial discharge pulses, and determining synchronous phase information based on the partial discharge pulses so as to generate discharge diagnostic patterns corresponding to a plurality of monitoring points; And the data storage query module is used for constructing a composite index according to the structured monitoring data, the characteristic data and the discharge diagnosis map according to the preset identification, responding to the display request of the client, and searching and assembling the data and the maps of a plurality of designated monitoring points in the selected time window and the phase interval in real time based on the composite index so as to generate a synchronous display data packet and display based on the client.

Description

Multi-point data traffic overload processing method and system based on synchronous display Technical Field The application relates to the technical field of on-line monitoring of power equipment and crossing of cloud computing technology, in particular to a method and a system for processing overload of multi-point data traffic based on synchronous display. Background The power cable is an important component of the power grid, the insulation of which is directly related to the power supply reliability. Partial discharge is one of the main signs of cable insulation degradation, and high frequency pulse current method (HFCT) is a commonly used effective method of detecting partial discharge. At present, many local discharge detection in the field adopts a mode that a notebook computer is carried by personnel at a detection point and special software is operated to perform data acquisition and preliminary analysis. This approach has obvious drawbacks: And the data fragmentation, namely, the historical data are stored in different notebook computers in a scattered way, so that unified management, historical trend comparison and comprehensive analysis are difficult to perform, and management staff can not master the insulation state of the cable comprehensively. The processing capacity is limited, the calculation and storage resources of the notebook computer are limited, the real-time processing of multi-channel, long-time and high-sampling-rate data is difficult to deal with, and the data from a plurality of monitoring points cannot be processed at the same time. The expandability is poor, when monitoring points are required to be added or more complex analysis (such as artificial intelligent diagnosis) is required, the hardware of the notebook computer is difficult to upgrade, the cost is high, and flexible allocation of resources cannot be realized. The access is inconvenient, the analysis result is limited to the notebook computer with specific software, and the convenient access of multiple terminals at any time and any place can not be realized. Although some online monitoring systems exist, the data processing mode of the online monitoring systems often cannot fully exert the centralized advantages of the cloud computing architecture, or the online monitoring systems have the defects of system expandability, data standardization management and multi-user convenient access. Therefore, a cable partial discharge monitoring scheme capable of fully utilizing cloud resources and realizing centralized data processing, storage and access is urgently needed. Disclosure of Invention In order to fully utilize cloud resources and realize a cable partial discharge monitoring scheme for data centralized processing, storage and access, the application provides a multi-point data flow overload processing method and system based on synchronous display. In a first aspect, the present application provides a method for processing overload of a multi-point data traffic based on synchronous display, which adopts the following technical scheme: a multi-point data traffic overload processing method based on synchronous display comprises the following steps: establishing a unified cloud data receiving gateway to receive original monitoring data packets of a plurality of monitoring points, wherein the original monitoring data packets carry power frequency phase stamps and time stamps; Aligning the original monitoring data packet to the same power frequency period coordinate system in real time and synchronously based on the phase stamp and the time stamp so as to generate a time-space synchronous global discharge event data set; Parallel and batch calculation is carried out on the global discharge event data set to separate partial discharge pulses, and synchronous phase information is determined based on the partial discharge pulses so as to generate discharge diagnostic maps corresponding to a plurality of monitoring points; And constructing a composite index for the structured monitoring data, the feature data and the discharge diagnosis map according to the preset identification, responding to a display request of the client, and searching and assembling data and maps of a plurality of specified monitoring points in a selected time window and a phase interval based on the composite index in real time in a correlated manner so as to generate a synchronous display data packet and display based on the client. By adopting the technical scheme, all monitoring data are uniformly stored in the cloud database, so that data fragmentation is avoided, historical data comparison, trend analysis and depth data mining are convenient to carry out, and the cloud architecture can simultaneously receive, process and store data from a large number of widely distributed field monitoring terminals, so that large-scale monitoring is realized. In one embodiment, the discharge diagnostic map includes a PRPS map, and the discharge diagnostic map co