CN111994137A - Alarm analysis method based on railway signal centralized monitoring - Google Patents
Alarm analysis method based on railway signal centralized monitoring Download PDFInfo
- Publication number
- CN111994137A CN111994137A CN202010919474.1A CN202010919474A CN111994137A CN 111994137 A CN111994137 A CN 111994137A CN 202010919474 A CN202010919474 A CN 202010919474A CN 111994137 A CN111994137 A CN 111994137A
- Authority
- CN
- China
- Prior art keywords
- alarm
- result
- judgment
- condition
- configuration file
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/40—Handling position reports or trackside vehicle data
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to an alarm analysis method based on railway signal centralized monitoring, which comprises the following steps: (1) determining each alarm flow needing to be monitored and a configuration file related to alarm, and performing alarm judgment based on the acquired real-time or historical data of the corresponding equipment to obtain a preliminary alarm result of each alarm flow; (2) judging whether the preliminary alarm result needs to be checked according to the actual situation, if so, entering the step (3), otherwise, entering the step (4); (3) checking the preliminary alarm result of each alarm flow, updating the configuration file based on the check result, returning to the step (1), and performing secondary alarm judgment on each alarm flow based on the updated configuration file to obtain a final alarm result; (4) and alarming according to the alarming result, displaying and storing the alarming details, and processing the alarming information according to the alarming details. The invention can be widely applied to the field of railway signal monitoring.
Description
Technical Field
The invention relates to an alarm analysis method based on railway signal centralized monitoring, and belongs to the technical field of railway signal technology and railway signal centralized monitoring systems.
Background
The running state monitoring of the railway signal equipment is an important measure for ensuring the train running safety, and is mainly applied to a railway signal centralized monitoring system. The existing railway signal centralized monitoring system carries out state real-time monitoring, data recording, statistical analysis and fault alarm on railway basic signal equipment such as turnouts, signal machines, track circuits and the like and a transportation control system such as CTC, interlocking, train control and the like.
However, the railway signal centralized monitoring system in the prior art only provides an alarm result, the equipment alarm, early warning and data analysis are still in the basic stage of fixed threshold judgment, the hidden danger troubleshooting and fault analysis of the equipment are still based on manual browsing analysis, and the closure and limitation of the signal centralized monitoring alarm are increased.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide an alarm analysis method based on centralized monitoring of railway signals, which performs judgment according to the operation state data of railway basic signal equipment and alarm logic specific to an alarm item, and displays the logic relationship of alarm conditions by using an analysis tree.
In order to achieve the purpose, the invention adopts the following technical scheme: an alarm analysis method based on railway signal centralized monitoring comprises the following steps: (1) determining each alarm process needing to be monitored and configuration files related to each alarm process, and performing alarm judgment based on real-time or historical data of corresponding equipment acquired from a data source to obtain a primary alarm result of each alarm process; (2) judging whether the obtained preliminary alarm result needs to be checked according to the actual situation, if so, entering the step (3), otherwise, entering the step (4); (3) checking the preliminary alarm result of each alarm flow, updating the configuration file based on the check result, returning to the step (1), and performing secondary alarm judgment on each alarm flow based on the updated configuration file to obtain an updated alarm result; (4) and (4) alarming according to the preliminary alarm result in the step (1) or the updated alarm result in the step (3), displaying and storing the alarm details, and processing the alarm information according to the alarm details.
Further, in the step (1), the method for obtaining the alarm result of each alarm process includes the following steps: (1.1) determining each alarm process needing to be monitored, and loading configuration files related to each alarm process in a railway signal centralized monitoring system; the configuration file of each alarm process comprises alarm process configuration, condition parameter configuration and analysis expression configuration; (1.2) initializing alarm states and condition parameters of each alarm process according to each configuration file; (1.3) diagnosing and analyzing the running states of the turnout, the signal machine, the track circuit and other signal equipment based on the condition parameters set by each configuration file to obtain a condition result set corresponding to each alarm process; and (1.4) carrying out logic operation according to the condition result set obtained by each alarm flow and the corresponding analytical expression, generating a tree structure from the condition result set, forming an alarm analysis tree, and obtaining the alarm result of the alarm flow.
Further, in the step (1.3), the method for performing condition judgment on each device includes the following steps: (1.3.1) acquiring a real-time or historical operation data list of turnouts, signal machines, track circuits and other signal equipment from a data source; (1.3.2) according to the condition parameters set by the configuration file, executing condition judgment on each alarm flow by using a related algorithm; (1.3.3) during the judgment, recording each judgment step and returning a result set of the condition judgment.
Further, in the step (1.4), the method for generating the tree structure according to the condition result set includes: firstly, generating an alarm syntax tree for an analytic expression through computer syntax analysis according to a configuration file and the configured analytic expression of each alarm flow; and then, the alarm syntax tree is corresponding to the visual analysis tree of each alarm process, and each node in the visual analysis tree expresses an alarm judgment triggering condition or an intermediate state.
Further, in the step (2), when it is determined whether the obtained preliminary alarm result needs to be checked according to the actual situation, the method includes two situations, one is to perform comprehensive analysis on the conditions determined by the alarm process periodically or randomly according to the actual need, and further determine whether the current alarm result is correct; and secondly, when one alarm flow frequently gives an alarm or fails to give an alarm or gives an alarm by mistake, comprehensively analyzing the current alarm result and judging whether the alarm flow is influenced by other factors.
Further, in the step (3), the method for checking the preliminary alarm result of each alarm process, updating the configuration file based on the check result, and performing alarm judgment again on each alarm process based on the updated configuration file to obtain the updated alarm result includes the following steps: (3.1) comprehensively analyzing the running state of the signal equipment and the alarm judgment process, and determining whether to add, modify or delete a certain operation condition node in the alarm flow configuration file according to the comprehensive analysis result; (3.2) updating the configuration file according to the specific operation of the operation condition node, and returning to the step (1) to perform alarm judgment again; (3.3) comparing the new alarm judgment result obtained in the step (3.2) with an expert prediction result to determine whether the operation condition node is one of the alarm factors influencing the alarm process; and (3.4) repeating the steps (3.1) to (3.3), updating the configuration file of the alarm process according to the determined operation condition nodes, returning to the step (1), and performing alarm judgment according to the updated configuration file to obtain an updated alarm result.
Further, in the step (3.2), updating the configuration file according to the specific operation on the operation condition node means: after the specific operation of the operation condition node is determined, reconfiguring condition parameters and acquiring judgment data for the operation condition node, wherein the judgment data source of the operation condition node is as follows: monitoring the acquired data, an external third party interface and an intelligent equipment system interface.
Further, in the step (3.3), when determining whether the operation condition node is one of the influencing alarm factors: firstly, comparing a new alarm judgment result with an expert prediction result, and if the new alarm judgment result is consistent with the expert prediction result, considering that the operation condition node is possible to become one of the influence alarm factors; and then, after the operation condition nodes which can become the influence factors of the alarm are subjected to multiple tests, comprehensive evaluation and expert review confirmation, the operation condition nodes are determined to be the influence factors of the alarm process, and the operation nodes are updated to the expert database.
Further, in the step (4), when saving the alarm details, the saved alarm details are saved in a database and a file system, and the saved alarm details include an alarm device, an alarm time, alarm information, an alarm analysis tree, and a judgment process.
Further, in the step (4), when the alarm details are displayed, an alarm analysis terminal is adopted, the listed contents include detailed judgment processes and reasons for generation, and the alarm analysis tree and historical data before and after the alarm time point are displayed in a graph mode.
Due to the adoption of the technical scheme, the invention has the following advantages: 1. the invention adopts the alarm analysis tree to carry out visual analysis and display on each alarm flow, so that the alarm judgment is more transparent. 2. The invention displays the alarm judgment process by means of an alarm analysis tree, a historical data chart and the like, provides alarm and early warning results, enables a user to master specific alarm judgment logic and participates in the alarm judgment analysis process. 3. When checking each alarm process, the invention allows the user to participate in the judgment of each condition parameter in the alarm process configuration file, allows the user to define the alarm condition, adjusts the judgment logic of the alarm process, and continuously improves the adjusted result to the expert database to form a closed-loop analysis process, thereby being beneficial to the sharing of expert business knowledge and improving the integrity, expansibility and applicability of railway monitoring alarm analysis. Therefore, the invention can be widely applied to the field of railway signal centralized monitoring.
Drawings
FIG. 1 is a flow chart of an alarm analysis method based on railway signal centralized monitoring.
Detailed Description
The invention is described in detail below with reference to the figures and examples.
As shown in fig. 1, the alarm analysis method based on centralized monitoring of railway signals provided by the invention comprises the following steps:
(1) determining each alarm process (also called alarm item) to be monitored and configuration files related to each alarm process, and performing alarm judgment based on real-time or historical data of corresponding equipment acquired from a data source to obtain a primary alarm result of each alarm process;
(2) judging whether the obtained preliminary alarm result needs to be checked according to the actual situation, if so, entering the step (3), otherwise, entering the step (4);
(3) checking the preliminary alarm result of each alarm flow, updating the configuration file based on the check result, returning to the step (1), and performing secondary alarm judgment on each alarm flow based on the updated configuration file to obtain an updated alarm result;
(4) and (4) alarming according to the preliminary alarm result in the step (1) or the updated alarm result in the step (3), displaying and storing the alarm details, and processing the alarm information according to the alarm details.
In the step (1), the method for obtaining the preliminary alarm result of each alarm process includes the following steps:
(1.1) loading alarm configuration: determining each alarm process needing to be monitored, and loading configuration files related to each alarm process in a railway signal centralized monitoring system; the configuration file of each alarm process comprises the contents of alarm process configuration, condition parameter configuration, analysis expression configuration and the like;
(1.2) initialization flow: and initializing the alarm state and condition parameters of each alarm process according to each configuration file.
(1.3) Condition judgment: based on the condition parameters set by each configuration file, the running states of turnouts, signal machines, track circuits and other signal equipment are diagnosed and analyzed to obtain a condition result set corresponding to each alarm process;
(1.4) analyzing an alarm result: because each alarm flow comprises one or more conditions, logical operation is carried out according to the condition result set obtained by each alarm flow and the configured analytical expression, the condition result set is generated into a tree structure, an alarm analysis tree is formed, and the alarm result of the alarm flow is obtained.
In the step (1.3), the method for judging the condition of each device includes the following steps:
(1.3.1) acquiring a real-time or historical operation data list of turnouts, signal machines, track circuits and other signal equipment from a data source;
(1.3.2) according to the condition parameters set by the configuration file, executing condition judgment on each alarm flow by using a related algorithm;
(1.3.3) during the judgment, recording each judgment step and returning a result set of the condition judgment.
In the step (1.4), the forming method of the alarm analysis tree comprises the following steps: firstly, generating an alarm syntax tree for an analytic expression through computer syntax analysis according to a configuration file and the configured analytic expression of each alarm flow; and then, the alarm syntax tree is corresponding to a visual analysis tree of the alarm process, and each node in the visual analysis tree expresses an alarm judgment triggering condition or an intermediate state.
In the step (2), when judging whether the obtained preliminary alarm result needs to be checked according to the actual situation, the method mainly comprises the following conditions that firstly, in order to ensure the alarm precision, after the alarm occurs, an expert periodically or randomly analyzes the conditions judged by each alarm flow according to the actual need to judge whether the alarm result is normal; secondly, when a certain alarm process frequently gives an alarm or suspicious alarm conditions such as missed alarm and false alarm frequently occur, an expert can speculate whether the alarm is influenced by other factors according to experience, such as: weather factors, poor track shunting, skylight spot operation, and the like.
In the step (3), the method for checking the preliminary alarm result of each alarm process, updating the configuration file based on the check result, and performing alarm judgment again on each alarm process based on the updated configuration file to obtain the updated alarm result includes the following steps:
(3.1) comprehensively analyzing the running state of the signal equipment and the alarm judgment process, and determining whether to add, modify or delete a certain operation condition node in the alarm flow configuration file according to the comprehensive analysis result;
(3.2) updating the configuration file according to the specific operation of the operation condition node, and returning to the step (1) to perform alarm judgment again;
(3.3) comparing the new alarm judgment result obtained in the step (3.2) with an expert prediction result to determine whether the operation condition node is one of the alarm factors influencing the alarm process;
and (3.4) repeating the steps (3.1) to (3.3), updating the configuration file of the alarm process according to the determined operation condition nodes, returning to the step (1), and performing alarm judgment according to the updated configuration file to obtain an updated alarm result.
In the step (3.2), when comprehensive analysis is performed according to the running state of the signal equipment and the alarm judgment process, the condition nodes are obtained by combining with the experience of experts in the railway industry for many years, whether the condition nodes need to be added, deleted and modified, if the condition nodes need to be operated (hereinafter referred to as operation nodes), the operation nodes need to reconfigure condition parameters and obtain data, and update the condition parameters and the obtained data into a condition list of the alarm process, and the judgment data of the operation nodes can be obtained in various modes such as data collected by monitoring, an external third-party interface (such as a weather interface), an intelligent equipment system interface, expert definition and the like.
In the step (3.3), when determining whether the operation condition node is one of the influencing alarm factors:
comparing the new alarm judgment result with the expert prediction result, and if the new alarm judgment result is consistent with the expert prediction result, considering that the operation node is possible to become one of the influence alarm factors;
after being confirmed by multiple tests, comprehensive evaluation, expert review and other modes, the operation node is determined to be an influence factor of the alarm process, the operation node can be updated to the expert database, the node is read from the expert database and added into the condition list when the alarm process is executed next time, and the subsequent alarm process judgment is carried out according to the updated condition list.
In the step (4), when the alarm details are stored, the alarm details can be stored in a database and a file system, and the stored alarm details include alarm equipment, alarm time, alarm information, an alarm analysis tree, a judgment process and the like.
In the step (4), when the alarm details are displayed, an alarm analysis terminal may be used, the listed contents include detailed judgment processes and reasons for generation, and the alarm analysis tree and historical data before and after the alarm time point are displayed in a graph manner. The reason for generating the alarm refers to the reason for generating the state of each node on the alarm analysis tree, and is description of some data, graphs or a section of words, and the reason is non-relational data and is not suitable for being stored in a database.
In the step (4), when the alarm information is processed, the problem can be found according to the generation reason and the comprehensive analysis of the alarm prompt, and the corresponding equipment is overhauled.
The above embodiments are only used for illustrating the present invention, and the structure, connection mode, manufacturing process, etc. of the components may be changed, and all equivalent changes and modifications performed on the basis of the technical solution of the present invention should not be excluded from the protection scope of the present invention.
Claims (10)
1. An alarm analysis method based on railway signal centralized monitoring is characterized by comprising the following steps:
(1) determining each alarm process needing to be monitored and configuration files related to each alarm process, and performing alarm judgment based on real-time or historical data of corresponding equipment acquired from a data source to obtain a primary alarm result of each alarm process;
(2) judging whether the obtained preliminary alarm result needs to be checked according to the actual situation, if so, entering the step (3), otherwise, entering the step (4);
(3) checking the preliminary alarm result of each alarm flow, updating the configuration file based on the check result, returning to the step (1), and performing secondary alarm judgment on each alarm flow based on the updated configuration file to obtain an updated alarm result;
(4) and (4) alarming according to the preliminary alarm result in the step (1) or the updated alarm result in the step (3), displaying and storing the alarm details, and processing the alarm information according to the alarm details.
2. The alarm analysis method based on centralized monitoring of railway signals according to claim 1, wherein in the step (1), the method for obtaining the alarm result of each alarm process comprises the following steps:
(1.1) determining each alarm process needing to be monitored, and loading configuration files related to each alarm process in a railway signal centralized monitoring system; the configuration file of each alarm process comprises alarm process configuration, condition parameter configuration and analysis expression configuration;
(1.2) initializing alarm states and condition parameters of each alarm process according to each configuration file;
(1.3) diagnosing and analyzing the running states of the turnout, the signal machine, the track circuit and other signal equipment based on the condition parameters set by each configuration file to obtain a condition result set corresponding to each alarm process;
and (1.4) carrying out logic operation according to the condition result set obtained by each alarm flow and the corresponding analytical expression, generating a tree structure from the condition result set, forming an alarm analysis tree, and obtaining the alarm result of the alarm flow.
3. The alarm analysis method based on centralized monitoring of railway signals according to claim 2, wherein in the step (1.3), the method for judging the condition of each equipment comprises the following steps:
(1.3.1) acquiring a real-time or historical operation data list of turnouts, signal machines, track circuits and other signal equipment from a data source;
(1.3.2) according to the condition parameters set by the configuration file, executing condition judgment on each alarm flow by using a related algorithm;
(1.3.3) during the judgment, recording each judgment step and returning a result set of the condition judgment.
4. The alarm analysis method based on centralized monitoring of railway signals according to claim 2, wherein in the step (1.4), the method for generating the tree structure according to the condition result set comprises: firstly, generating an alarm syntax tree for an analytic expression through computer syntax analysis according to a configuration file and the configured analytic expression of each alarm flow; and then, the alarm syntax tree is corresponding to the visual analysis tree of each alarm process, and each node in the visual analysis tree expresses an alarm judgment triggering condition or an intermediate state.
5. The alarm analysis method based on centralized monitoring of railway signals according to claim 1, wherein in the step (2), when judging whether the obtained preliminary alarm result needs to be checked according to the actual situation, the method includes two situations, namely, the condition judged by the alarm process is comprehensively analyzed periodically or randomly according to the actual situation, and then whether the current alarm result is correct is judged; and secondly, when one alarm flow frequently gives an alarm or fails to give an alarm or gives an alarm by mistake, comprehensively analyzing the current alarm result and judging whether the alarm flow is influenced by other factors.
6. The alarm analysis method based on centralized monitoring of railway signals according to claim 1, wherein in the step (3), the preliminary alarm result of each alarm process is verified, the configuration file is updated based on the verification result, and the alarm process is re-judged based on the updated configuration file to obtain the updated alarm result, and the method comprises the following steps:
(3.1) comprehensively analyzing the running state of the signal equipment and the alarm judgment process, and determining whether to add, modify or delete a certain operation condition node in the alarm flow configuration file according to the comprehensive analysis result;
(3.2) updating the configuration file according to the specific operation of the operation condition node, and returning to the step (1) to perform alarm judgment again;
(3.3) comparing the new alarm judgment result obtained in the step (3.2) with an expert prediction result to determine whether the operation condition node is one of the alarm factors influencing the alarm process;
and (3.4) repeating the steps (3.1) to (3.3), updating the configuration file of the alarm process according to the determined operation condition nodes, returning to the step (1), and performing alarm judgment according to the updated configuration file to obtain an updated alarm result.
7. The alarm analysis method based on centralized monitoring of railway signals according to claim 6, characterized in that in the step (3.2), updating the configuration file according to the specific operation of the operation condition node comprises: after the specific operation of the operation condition node is determined, reconfiguring condition parameters and acquiring judgment data for the operation condition node, wherein the judgment data source of the operation condition node is as follows: monitoring the acquired data, an external third party interface and an intelligent equipment system interface.
8. The alarm analysis method based on centralized monitoring of railway signals as claimed in claim 6, wherein in the step (3.3), when determining whether the operation condition node is one of the influencing alarm factors:
firstly, comparing a new alarm judgment result with an expert prediction result, and if the new alarm judgment result is consistent with the expert prediction result, considering that the operation condition node is possible to become one of the influence alarm factors;
and then, after the operation condition nodes which can become the influence factors of the alarm are subjected to multiple tests, comprehensive evaluation and expert review confirmation, the operation condition nodes are determined to be the influence factors of the alarm process, and the operation nodes are updated to the expert database.
9. The alarm analysis method based on centralized monitoring of railway signals according to claim 1, wherein in the step (4), when saving the alarm details, the saved alarm details are saved in a database and a file system, and the saved alarm details comprise an alarm device, an alarm time, alarm information, an alarm analysis tree and a judgment process.
10. The alarm analysis method based on centralized monitoring of railway signals as claimed in claim 1, wherein in the step (4), when displaying the alarm details, an alarm analysis terminal is adopted, the listed contents include detailed judgment processes and reasons for generation, and meanwhile, the alarm analysis tree and historical data before and after the alarm time point are displayed in a graph mode.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010919474.1A CN111994137B (en) | 2020-09-04 | 2020-09-04 | Alarm analysis method based on railway signal centralized monitoring |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010919474.1A CN111994137B (en) | 2020-09-04 | 2020-09-04 | Alarm analysis method based on railway signal centralized monitoring |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111994137A true CN111994137A (en) | 2020-11-27 |
CN111994137B CN111994137B (en) | 2022-07-12 |
Family
ID=73468372
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010919474.1A Active CN111994137B (en) | 2020-09-04 | 2020-09-04 | Alarm analysis method based on railway signal centralized monitoring |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111994137B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112685605A (en) * | 2020-12-24 | 2021-04-20 | 深圳科安达电子科技股份有限公司 | Alarm analysis method and system |
CN112991697A (en) * | 2021-04-13 | 2021-06-18 | 国能信控互联技术有限公司 | Intelligent alarm monitoring method and system for power plant |
CN114701537A (en) * | 2022-02-11 | 2022-07-05 | 国能包神铁路集团有限责任公司 | Track circuit shunting failure early warning method and device |
WO2022257209A1 (en) * | 2021-06-10 | 2022-12-15 | 北京全路通信信号研究设计院集团有限公司 | Conditional expression-based alarm-sounding method and apparatus for railway monitoring system |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101446914A (en) * | 2007-11-26 | 2009-06-03 | 阿里巴巴集团控股有限公司 | Database monitoring method and device |
CN101574975A (en) * | 2009-06-03 | 2009-11-11 | 北京六捷科技有限公司 | Vehicle monitoring system based on CTCS-3 level train control system and terminal thereof |
CN103569161A (en) * | 2012-07-30 | 2014-02-12 | 北京西南交大盛阳科技有限公司 | Railway signal equipment operation alarming method based on data comparison and logical analysis |
CN105045256A (en) * | 2015-07-08 | 2015-11-11 | 北京泰乐德信息技术有限公司 | Rail traffic real-time fault diagnosis method and system based on data comparative analysis |
CN105717887A (en) * | 2014-12-05 | 2016-06-29 | 克拉玛依红有软件有限责任公司 | Oil gas processing station intelligent early warning system based on Internet of things sensing data |
CN106406863A (en) * | 2016-08-31 | 2017-02-15 | 西安空间无线电技术研究所 | Security reconfiguration method of in-orbit data for manned aircraft instrument software |
US20200156680A1 (en) * | 2018-11-19 | 2020-05-21 | Globiz Co., Ltd. | Railway vehicle major component and system diagnosis apparatus |
CN111290918A (en) * | 2020-02-26 | 2020-06-16 | 苏州浪潮智能科技有限公司 | Server running state monitoring method and device and computer readable storage medium |
-
2020
- 2020-09-04 CN CN202010919474.1A patent/CN111994137B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101446914A (en) * | 2007-11-26 | 2009-06-03 | 阿里巴巴集团控股有限公司 | Database monitoring method and device |
CN101574975A (en) * | 2009-06-03 | 2009-11-11 | 北京六捷科技有限公司 | Vehicle monitoring system based on CTCS-3 level train control system and terminal thereof |
CN103569161A (en) * | 2012-07-30 | 2014-02-12 | 北京西南交大盛阳科技有限公司 | Railway signal equipment operation alarming method based on data comparison and logical analysis |
CN105717887A (en) * | 2014-12-05 | 2016-06-29 | 克拉玛依红有软件有限责任公司 | Oil gas processing station intelligent early warning system based on Internet of things sensing data |
CN105045256A (en) * | 2015-07-08 | 2015-11-11 | 北京泰乐德信息技术有限公司 | Rail traffic real-time fault diagnosis method and system based on data comparative analysis |
CN106406863A (en) * | 2016-08-31 | 2017-02-15 | 西安空间无线电技术研究所 | Security reconfiguration method of in-orbit data for manned aircraft instrument software |
US20200156680A1 (en) * | 2018-11-19 | 2020-05-21 | Globiz Co., Ltd. | Railway vehicle major component and system diagnosis apparatus |
CN111290918A (en) * | 2020-02-26 | 2020-06-16 | 苏州浪潮智能科技有限公司 | Server running state monitoring method and device and computer readable storage medium |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112685605A (en) * | 2020-12-24 | 2021-04-20 | 深圳科安达电子科技股份有限公司 | Alarm analysis method and system |
CN112991697A (en) * | 2021-04-13 | 2021-06-18 | 国能信控互联技术有限公司 | Intelligent alarm monitoring method and system for power plant |
WO2022257209A1 (en) * | 2021-06-10 | 2022-12-15 | 北京全路通信信号研究设计院集团有限公司 | Conditional expression-based alarm-sounding method and apparatus for railway monitoring system |
CN114701537A (en) * | 2022-02-11 | 2022-07-05 | 国能包神铁路集团有限责任公司 | Track circuit shunting failure early warning method and device |
CN114701537B (en) * | 2022-02-11 | 2024-03-05 | 国能包神铁路集团有限责任公司 | Track circuit branching failure early warning method and device |
Also Published As
Publication number | Publication date |
---|---|
CN111994137B (en) | 2022-07-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111994137B (en) | Alarm analysis method based on railway signal centralized monitoring | |
CN106080655B (en) | A kind of detection method, device and the train of train axle temperature exception | |
WO2023071217A1 (en) | Multi-working-condition process industrial fault detection and diagnosis method based on deep transfer learning | |
CN113077172A (en) | Equipment state trend analysis and fault diagnosis method | |
CN113467420B (en) | Method and device for detecting zone controller fault | |
CN109470946B (en) | Power generation equipment fault detection method and system | |
CN110727531A (en) | Fault prediction and processing method and system for online system | |
CN110388773A (en) | Fault detection method, system and the water cooler of water cooler | |
CN114862275B (en) | Storage logistics system reliability assessment method and system based on digital twin model | |
US20220101666A1 (en) | Method and Apparatus for Determining a Residual Service Life based on a Predictive Diagnosis of Components of an Electric Drive System Using Artificial Intelligence Techniques | |
CN113902233A (en) | Vehicle safety early warning method, big data platform device, vehicle-mounted terminal and vehicle | |
CN112270335A (en) | Method and system for predicting welding quality defects of lap joint and computer readable storage medium | |
CN109308411B (en) | Method and system for hierarchically detecting software behavior defects based on artificial intelligence decision tree | |
CN114707401A (en) | Fault early warning method and device for signal system equipment | |
CN109507992A (en) | A kind of failure prediction method, device and the equipment of locomotive braking system component | |
CN115759357A (en) | Power supply equipment safety prediction method, system, equipment and medium based on PSCADA data | |
CN114924990A (en) | Abnormal scene testing method and electronic equipment | |
CN116380496B (en) | Automobile door fatigue endurance test method, system and medium | |
CN107506832B (en) | Hidden danger mining method for assisting monitoring tour | |
CN110675521B (en) | Abnormal monitoring and analyzing method, device and system for card punching and storage medium | |
CN116882695A (en) | Automatic inspection method, device, computer equipment and storage medium | |
CN110262460B (en) | Concrete piston fault prediction method for extracting features by combining clustering idea | |
CN116596301A (en) | Cable multi-state variable evaluation model design method and device based on zero-order learning method | |
JP7062505B2 (en) | Equipment management support system | |
KR102470804B1 (en) | Method and system for comprehensive diagnosis defects in rotating machinery |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |