CN117149897A - Big data alarm information hierarchical display system and method based on double-buffer technology - Google Patents
Big data alarm information hierarchical display system and method based on double-buffer technology Download PDFInfo
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- 238000005516 engineering process Methods 0.000 title claims abstract description 18
- 230000003139 buffering effect Effects 0.000 claims abstract description 26
- 238000007726 management method Methods 0.000 claims description 22
- 238000004458 analytical method Methods 0.000 claims description 12
- 238000009877 rendering Methods 0.000 claims description 9
- 238000013499 data model Methods 0.000 claims description 7
- 238000005096 rolling process Methods 0.000 claims description 5
- 230000005059 dormancy Effects 0.000 claims description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24552—Database cache management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24578—Query processing with adaptation to user needs using ranking
Abstract
The invention relates to the technical field of power systems, in particular to a big data alarm information grading display system and method based on a double-buffer technology, comprising the following steps: subscribing an alarm inquiry domain and an alarm type of alarm service, acquiring alarm data of the subscribed alarm type, and buffering the alarm data to an alarm message queue; reading and analyzing alarm data in an alarm message queue based on a reading strategy, and notifying alarm information to update according to the analyzed data; receiving an alarm information update notification, updating a storage map of the alarm information, and acquiring the state of a real-time alarm window unit; and judging whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit, if so, distinguishing the importance degree of the alarm information, and classifying the alarm information into different levels through the classification tag page. The invention solves the problem that the man-machine interaction interface is high in display and operation time consumption when a large amount of alarm data are generated by the power system, and can display alarm information in a grading manner to distinguish the importance of the alarm information.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a big data alarm information grading display system and method based on a double-buffering technology.
Background
The intelligent power monitoring system is based on data acquisition and processing, acquires analog quantity and switching value of field equipment in real time, generates visual data directly or after processing the acquired data, and displays the visual data on a monitoring host screen, wherein the deflection information of a switch relates to power grid generation and operation safety, when the intelligent power monitoring system receives switch deflection or power parameter value changes such as current and voltage, alarm data can be generated after processing, alarms which occur each time are recorded, and the alarms comprise alarm date, alarm time, generated objects, line names, alarm levels and the like, and are reminded in an alarm form of sound and graphic popup windows at an HMI man-machine interaction interface for workers to process. However, the method mainly adopts a default time descending mode to read alarm data from a real-time database in a paging way, displays the data in an HMI real-time alarm window for workers to check after analysis processing, and once a large data volume condition occurs, the method is complex in operation and easy to reduce user experience friendliness; in addition, although the HMI real-time alarm window can flexibly view alarm information through rolling of the roller, under the condition of large data volume, loading all alarm information views through the window is time-consuming, and HMI is easy to be blocked, and even the operation of the system is affected. Based on the above, we have devised a big data alarm information hierarchical display system and method based on double buffering technology.
Disclosure of Invention
The invention aims to provide a big data alarm information grading display system and a big data alarm information grading display method based on a double-buffer technology, which adopt a buffer message queue to timely receive alarm service push change data when alarm data is received, so that the sending pressure of a server is reduced; reading data by adopting a certain strategy in an alarm message queue, so that the analysis burden is not excessively heavy when a large amount of data is generated; the loading view of the real-time alarm window unit adopts a lazy loading mode, only the alarm information of the visible area number is loaded, and the view loading time is shortened; the real-time alarm window unit adopts grading check and color grading, and the importance degree of the alarm information is directly and clearly represented.
The embodiment of the invention is realized by the following technical scheme:
big data alarm information hierarchical display system based on double buffering technique includes:
alarm buffer queue unit: subscribing an alarm inquiry domain and an alarm type of alarm service, acquiring alarm data of the subscribed alarm type, and buffering the alarm data to an alarm message queue;
a polling reading unit: reading and analyzing alarm data in an alarm message queue based on the reading strategy, and notifying an alarm information management unit to update alarm information according to the analyzed data;
alarm information management unit: receiving an alarm information update notification, updating a storage map of the alarm information, and acquiring the state of a real-time alarm window unit;
real-time alarm window unit: and judging whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit, if so, distinguishing the importance degree of the alarm information, and classifying the alarm information into different levels through the classification tag page.
Optionally, the acquiring the subscribed alarm type alarm data and buffering the alarm type alarm data to an alarm message queue specifically includes: and acquiring the subscribed alarm type alarm data, and directly buffering the alarm type alarm data to an alarm message queue without any processing.
Optionally, the reading policy is used for reading and analyzing the alarm data in the alarm message queue, which specifically includes: the alarm message queue is set with a maximum reading capacity, whether alarm data in the alarm message queue exceeds the maximum reading capacity is judged, if yes, the alarm data in the alarm message queue are read in batches according to the set frequency, and the alarm information management unit is informed of updating alarm information after analysis.
Optionally, the specific logic process of the reading strategy is as follows:
step 1: judging whether the alarm message queue is empty, if yes, ending the flow, otherwise, entering step 2;
step 2: judging whether the alarm data in the alarm message queue exceeds the maximum reading capacity, if so, entering a step 3; if not, entering a step 4;
step 3: reading alarm data in an alarm message queue in batches according to a set frequency, informing an alarm information management unit to update alarm information after analysis, and returning to the step 2 after dormancy for a specified time interval;
step 4: and reading all alarm data in the alarm message queue, informing an alarm information management unit to update alarm information after analysis, and ending.
Optionally, the determining whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit specifically includes: and judging whether to update the alarm information displayed by the real-time alarm window according to whether the real-time alarm window unit is in an open state.
Optionally, the real-time alarm window unit is divided into a model data model and a view, wherein the model data model performs data processing, and the view performs view rendering.
Optionally, the checking of the real-time alarm window unit adopts a roller rolling lazy loading mode, which is specifically as follows: and the position of the roller is converted into an alarm information list index, the alarm information of the total number of the visible vision areas in the front and rear ranges of the alarm information list index is read, and then the view is submitted to render processing, so that the quick display of the alarm information is completed.
The big data alarm information grading display method based on double buffering technology includes the following steps:
subscribing an alarm inquiry domain and an alarm type of alarm service, acquiring alarm data of the subscribed alarm type, and buffering the alarm data to an alarm message queue;
reading and analyzing alarm data in an alarm message queue based on the reading strategy, and notifying an alarm information management unit to update alarm information according to the analyzed data;
receiving an alarm information update notification, updating a storage map of the alarm information, and acquiring the state of a real-time alarm window unit;
and judging whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit, if so, distinguishing the importance degree of the alarm information, and classifying the alarm information into different levels through the classification tag page.
The technical scheme of the embodiment of the invention has at least the following advantages and beneficial effects:
according to the embodiment of the invention, when the alarm data is received, the buffer message queue is adopted, so that the alarm service pushing change data is timely received, and the sending pressure of the server is reduced; reading data by adopting a certain strategy in an alarm message queue, so that the analysis burden is not excessively heavy when a large amount of data is generated; the loading view of the real-time alarm window unit adopts a lazy loading mode, only the alarm information of the visible area number is loaded, and the view loading time is shortened; the real-time alarm window unit adopts grading check and color grading to directly and clearly indicate the importance degree of alarm information, so that the problem that the HMI human-computer interaction interface is high in display and operation time is consumed when a large amount of alarm data are generated by a power system is solved, and the alarm information can be displayed in a grading manner to distinguish the importance degree of the alarm information.
Drawings
FIG. 1 is a schematic diagram of a read strategy in a poll read unit according to an embodiment of the present invention;
fig. 2 is a flow chart of a hierarchical display method for big data alarm information based on a double-buffer technology according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
As shown in fig. 1-2, the present invention provides one of the embodiments: big data alarm information hierarchical display system based on double buffering technique includes:
alarm buffer queue unit: subscribing an alarm inquiry domain and an alarm type of alarm service, acquiring alarm data of the subscribed alarm type, and buffering the alarm data to an alarm message queue;
a polling reading unit: reading and analyzing alarm data in an alarm message queue based on the reading strategy, and notifying an alarm information management unit to update alarm information according to the analyzed data;
alarm information management unit: receiving an alarm information update notification, updating a storage map of the alarm information, and acquiring the state of a real-time alarm window unit;
real-time alarm window unit: and judging whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit, if so, distinguishing the importance degree of the alarm information, and classifying the alarm information into different levels through the classification tag page.
In this embodiment, an alarm inquiry domain and an alarm type are subscribed to the alarm service, the subscribed alarm type alarm data is received, and the subscribed alarm type alarm data is directly buffered to an alarm message queue without any processing, so that callback resources of the alarm data pushed by the alarm service are released. The polling reading unit, namely the polling thread in fig. 1, reads and analyzes the alarm data from the alarm message queue by adopting a reading strategy, and notifies the alarm information management unit to update the alarm information, namely the alarm information management object. And the alarm information management object receives the update notification, updates the storage map of the alarm information, and then acquires a real-time alarm window, namely whether a real-time alarm window unit is opened or not, so as to determine whether to update the alarm information displayed by the window. The real-time alarm window adopts an MVC mode, and the data and the view are segmented, so that the tasks of each module are more purely crushed, and the efficiency is improved. When the real-time alarm window distinguishes the severity of the alarm, the data are intuitively classified into different levels by adopting the hierarchical label pages, so that the dispatcher can conveniently and quickly identify the data. The real-time alarm window is checked by adopting a roller rolling lazy loading mode, so that the problem of time consumption of view rendering is reduced.
More specifically, the acquiring the subscribed alarm type alarm data and buffering the alarm type alarm data to an alarm message queue specifically includes: and acquiring the subscribed alarm type alarm data, and directly buffering the alarm type alarm data to an alarm message queue without any processing.
As shown in fig. 1, in this embodiment, the reading policy is used to read and parse the alarm data in the alarm message queue, which specifically includes: the alarm message queue is set with a maximum reading capacity, whether alarm data in the alarm message queue exceeds the maximum reading capacity is judged, if yes, the alarm data in the alarm message queue are read in batches according to the set frequency, and the alarm information management unit is informed of updating alarm information after analysis.
In a specific application of this embodiment, the specific logic procedure of the read strategy is as follows:
step 1: judging whether the alarm message queue is empty, if yes, ending the flow, otherwise, entering step 2;
step 2: judging whether the alarm data in the alarm message queue exceeds the maximum reading capacity, if so, entering a step 3; if not, entering a step 4;
step 3: reading alarm data in an alarm message queue in batches according to a set frequency, informing an alarm information management unit to update alarm information after analysis, and returning to the step 2 after dormancy for a specified time interval;
step 4: and reading all alarm data in the alarm message queue, informing an alarm information management unit to update alarm information after analysis, and ending.
More specifically, the method determines whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit, which specifically includes: and judging whether to update the alarm information displayed by the real-time alarm window according to whether the real-time alarm window unit is in an open state.
In this embodiment, the real-time alarm window unit is divided into a model data model and a view, wherein the model data model performs data processing, and the view performs view rendering.
The viewing of the real-time alarm window unit adopts a roller rolling lazy loading mode, and the real-time alarm window unit comprises the following concrete steps: and the position of the roller is converted into an alarm information list index, the alarm information of the total number of the visible vision areas in the front and rear ranges of the alarm information list index is read, and then the view is submitted to render processing, so that the quick display of the alarm information is completed.
In a specific application of this embodiment, the window is divided into a model data model and view views, the model is responsible for processing data, the view is responsible for view rendering, and the respective division work cooperates. All alarm information stored by the management object is matched with the alarm information list of the current view level by adopting a hierarchical label page, and then the alarm information list is processed by the model, so that the processing intensity of the model is reduced. Time-consuming work such as sequencing comparison of large-data-volume alarm information is processed by the model, and after completion, view rendering is notified, so that the view itself is not blocked due to time-consuming processing operation; the model informs view of rendering data, does not submit all data, only submits alarm information of visible number of visible areas, and reduces rendering data cost. And (3) dynamically lazy loading, namely converting the position of the roller into an alarm information list index, reading the alarm information of the total number of visible vision areas in the range before and after the list index, and then rendering and processing by view to realize quick display of the alarm information.
As shown in fig. 2, the present invention also provides one of the embodiments: the big data alarm information grading display method based on double buffering technology includes the following steps:
subscribing an alarm inquiry domain and an alarm type of alarm service, acquiring alarm data of the subscribed alarm type, and buffering the alarm data to an alarm message queue;
reading and analyzing alarm data in an alarm message queue based on the reading strategy, and notifying an alarm information management unit to update alarm information according to the analyzed data;
receiving an alarm information update notification, updating a storage map of the alarm information, and acquiring the state of a real-time alarm window unit;
and judging whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit, if so, distinguishing the importance degree of the alarm information, and classifying the alarm information into different levels through the classification tag page.
It can be understood that, for the same inventive concept, the big data alarm information classification display method based on the double buffer technology provided in the present embodiment and the big data alarm information classification display system based on the double buffer technology provided in the foregoing embodiment refer to the foregoing embodiment for the more specific working principle of each module in the embodiment of the present invention, and details are not repeated in the embodiment of the present invention.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. Big data alarm information hierarchical display system based on double buffering technique, its characterized in that includes:
alarm buffer queue unit: subscribing an alarm inquiry domain and an alarm type of alarm service, acquiring alarm data of the subscribed alarm type, and buffering the alarm data to an alarm message queue;
a polling reading unit: reading and analyzing alarm data in an alarm message queue based on the reading strategy, and notifying an alarm information management unit to update alarm information according to the analyzed data;
alarm information management unit: receiving an alarm information update notification, updating a storage map of the alarm information, and acquiring the state of a real-time alarm window unit;
real-time alarm window unit: and judging whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit, if so, distinguishing the importance degree of the alarm information, and classifying the alarm information into different levels through the classification tag page.
2. The big data alarm information grading display system based on double buffering technology according to claim 1, wherein the acquiring the subscribed alarm type alarm data and buffering the alarm type alarm data to the alarm message queue specifically comprises: and acquiring the subscribed alarm type alarm data, and directly buffering the alarm type alarm data to an alarm message queue without any processing.
3. The big data alarm information hierarchical display system based on the double buffering technology according to claim 1, wherein the reading strategy is based on reading and analyzing the alarm data in the alarm message queue, specifically: the alarm message queue is set with a maximum reading capacity, whether alarm data in the alarm message queue exceeds the maximum reading capacity is judged, if yes, the alarm data in the alarm message queue are read in batches according to the set frequency, and the alarm information management unit is informed of updating alarm information after analysis.
4. The big data alarm information hierarchical display system based on double buffering technology as set forth in claim 3, wherein the specific logic process of the reading strategy is as follows:
step 1: judging whether the alarm message queue is empty, if yes, ending the flow, otherwise, entering step 2;
step 2: judging whether the alarm data in the alarm message queue exceeds the maximum reading capacity, if so, entering a step 3; if not, entering a step 4;
step 3: reading alarm data in an alarm message queue in batches according to a set frequency, informing an alarm information management unit to update alarm information after analysis, and returning to the step 2 after dormancy for a specified time interval;
step 4: and reading all alarm data in the alarm message queue, informing an alarm information management unit to update alarm information after analysis, and ending.
5. The hierarchical display system for big data alarm information based on double buffering technology according to claim 4, wherein the determining whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit is specifically as follows: and judging whether to update the alarm information displayed by the real-time alarm window according to whether the real-time alarm window unit is in an open state.
6. The hierarchical display system of big data alarm information based on double buffering technology according to claim 5, wherein the real-time alarm window unit is divided into a model data model and a view, wherein the model data model performs data processing, and the view performs view rendering.
7. The hierarchical display system of big data alarm information based on double buffering technology according to claim 6, wherein the real-time alarm window unit is checked by adopting a rolling lazy loading mode of a roller, and the system is specifically as follows: and the position of the roller is converted into an alarm information list index, the alarm information of the total number of the visible vision areas in the front and rear ranges of the alarm information list index is read, and then the view is submitted to render processing, so that the quick display of the alarm information is completed.
8. The big data alarm information grading display method based on the double buffering technology is characterized by comprising the following steps:
subscribing an alarm inquiry domain and an alarm type of alarm service, acquiring alarm data of the subscribed alarm type, and buffering the alarm data to an alarm message queue;
reading and analyzing alarm data in an alarm message queue based on the reading strategy, and notifying an alarm information management unit to update alarm information according to the analyzed data;
receiving an alarm information update notification, updating a storage map of the alarm information, and acquiring the state of a real-time alarm window unit;
and judging whether to update the alarm information displayed by the real-time alarm window according to the state of the real-time alarm window unit, if so, distinguishing the importance degree of the alarm information, and classifying the alarm information into different levels through the classification tag page.
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| CN113242279A (en) * | 2021-04-20 | 2021-08-10 | 兰州中心气象台(兰州干旱生态环境监测预测中心) | Real-time monitoring and alarming platform for comprehensive meteorological observation data |
| CN113593196A (en) * | 2021-07-19 | 2021-11-02 | 许昌许继软件技术有限公司 | Power distribution room alarm information subscription method and system |
| CN113377626A (en) * | 2021-08-11 | 2021-09-10 | 上海领健信息技术有限公司 | Visual unified alarm method, device, equipment and medium based on service tree |
| CN114066418A (en) * | 2021-11-17 | 2022-02-18 | 北京城建设计发展集团股份有限公司 | Fire control data processing system based on data center |
| CN114495399A (en) * | 2022-04-01 | 2022-05-13 | 武汉中科通达高新技术股份有限公司 | Processing system, method, computer equipment and medium for national standard camera alarm information |
| CN114757277A (en) * | 2022-04-14 | 2022-07-15 | 通号城市轨道交通技术有限公司 | Rail transit signal system alarm method, device, electronic equipment and storage medium |
| CN115550444A (en) * | 2022-10-12 | 2022-12-30 | 中水三立数据技术股份有限公司 | Water conservancy data acquisition method based on water conservancy Internet of things |
| CN116319858A (en) * | 2023-02-10 | 2023-06-23 | 中远海运科技股份有限公司 | Intelligent ship Internet of things data operation and maintenance monitoring method and system |
| CN116388402A (en) * | 2023-06-05 | 2023-07-04 | 成都交大光芒科技股份有限公司 | Abnormality alarm analysis method applied to power transformation equipment |
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