CN113391611A - Early warning method, device and system for dynamic environment monitoring system - Google Patents
Early warning method, device and system for dynamic environment monitoring system Download PDFInfo
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- CN113391611A CN113391611A CN202010172631.7A CN202010172631A CN113391611A CN 113391611 A CN113391611 A CN 113391611A CN 202010172631 A CN202010172631 A CN 202010172631A CN 113391611 A CN113391611 A CN 113391611A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Abstract
The embodiment of the invention relates to the technical field of dynamic environment monitoring, and discloses a method, a device and a system for monitoring a dynamic environment, wherein the method comprises the following steps: acquiring operation data of the power environment monitoring system, wherein the operation data comprises station monitoring data, power equipment monitoring data and monitoring platform operation data; analyzing the station monitoring data to obtain first early warning information of the station; analyzing the monitoring data of the power equipment to obtain second early warning information of the power equipment; analyzing the operation data of the monitoring platform to obtain third early warning information of the monitoring platform; and sending the first early warning information, the second early warning information and the third early warning information to a user service system. Through the mode, the early warning of the dynamic environment monitoring system is realized.
Description
Technical Field
The embodiment of the invention relates to the technical field of power environment monitoring, in particular to an early warning method, device and system of a power environment monitoring system.
Background
With the continuous progress of the power environment monitoring technology, the accuracy of power equipment alarm and power equipment monitoring reaches a higher level. However, the reliability of the dynamic environment monitoring system and the running state of equipment in the system are not detected well.
At present, a method for checking an operation state of a power environment monitoring system is to establish a communication relationship with equipment in the power environment monitoring system, and if the communication is interrupted, an alarm message is generated.
The method can only process the fault when the alarm information is generated, and the fault cannot be predicted in advance.
Disclosure of Invention
In view of the above problems, embodiments of the present invention provide an early warning method, device and system for a dynamic environment monitoring and monitoring system, which are used to solve the problem of dynamic environment monitoring and early warning in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a dynamic environment monitoring early warning method, including:
acquiring operation data of the power environment monitoring system, wherein the operation data comprises station monitoring data, power equipment monitoring data and monitoring platform operation data;
analyzing the station monitoring data to obtain first early warning information of the station;
analyzing the monitoring data of the power equipment to obtain second early warning information of the power equipment;
analyzing the operation data of the monitoring platform to obtain third early warning information of the monitoring platform;
and sending the first early warning information, the second early warning information and the third early warning information to a user service system.
Optionally, the station monitoring data includes station alarm data and device performance data, the station alarm data includes station activity alarm, station history alarm and station communication interruption alarm, the station monitoring data is analyzed to obtain first early warning information of the station, including:
judging whether the station activity alarm exists in the first time period, if so, determining that the station monitoring is normal, otherwise,
judging whether a station communication interruption alarm exists, if so, determining the monitoring equipment fault of the station, and using the monitoring equipment fault of the station as first early warning information of the station, otherwise,
judging whether the historical alarm of the station is updated in the second time period, if the historical alarm of the station is not updated, determining that the station is abnormal, and using the abnormal station as the first early warning information of the station, otherwise,
judging whether the equipment performance data is updated, if so, determining that the office station is normally monitored, otherwise,
and determining an interface fault of the monitoring equipment of the station, and using the interface fault as first early warning information of the station.
Optionally, the power equipment monitoring data includes alarm data of the power equipment and performance data of the power equipment, the alarm data of the power equipment includes equipment activity alarm, equipment history alarm and equipment communication interruption alarm, and the power equipment monitoring data is analyzed to obtain second early warning information of the power equipment, including:
judging whether equipment activity alarm exists in the third time period, if so, determining that the office station where the power equipment is located monitors normally, otherwise,
judging whether equipment communication interruption alarm exists or not, if so, determining the monitoring equipment fault of the power equipment, and taking the monitoring equipment fault as second early warning information of the power equipment, otherwise,
judging whether the equipment history alarm is updated in the fourth time period, if not, determining the monitoring equipment fault of the power equipment, and using the monitoring equipment fault as the second early warning information of the power equipment, otherwise,
judging whether the performance data of the power equipment is updated, if so, determining that the monitoring equipment is normal, otherwise,
and determining the interface fault of the monitoring equipment, and using the interface fault as second early warning information of the power equipment.
Optionally, the monitoring platform operation data includes first operation data of the area monitoring center, the first operation data includes an operation log, and the monitoring platform operation data is analyzed to obtain third early warning information of the monitoring platform, including:
sending interaction information to an interface of the area monitoring center according to a preset frequency, wherein the interaction information is used for testing whether the interface connection of the area monitoring center is normal or not;
and if the information returned by the interface is received, determining that the interface is normal, otherwise, determining that the interface is abnormal, and taking the interface abnormality as third early warning information.
Optionally, the first operation data further includes alarm insertion data of a database, where the database includes an activity alarm database, a historical alarm database, and a historical device performance database, and the analyzing the operation data of the monitoring platform to obtain third early warning information of the monitoring platform includes:
if the activity alarm database does not receive the activity alarm within the first monitoring time period, determining that the activity alarm uploading abnormality of the area monitoring center is the third early warning information;
if the historical alarm database does not receive the historical alarm within a second monitoring time period, determining that the alarm of the historical activity of the area monitoring center is abnormally sent as the third early warning information;
and if the historical equipment performance database does not receive the historical equipment performance data in a third monitoring time period, determining that the historical equipment performance data is uploaded abnormally as the third early warning information.
Optionally, the monitoring platform operation data includes second operation data of the centralized monitoring center, and the second operation data includes the number of alarm queues, daily alarm amount, and daily work order amount of the alarm database; analyzing the monitoring platform operation data to obtain third early warning information of the monitoring platform, including:
and if the alarm queue number of the alarm database is greater than a first threshold value, or the fluctuation range of the daily alarm quantity exceeds a first range, or the fluctuation range of the daily work single quantity exceeds a second range, determining that the centralized monitoring center is abnormal, and taking the abnormal centralized monitoring center as the third early warning information.
Optionally, the second operation data further includes alarm data of the centralized monitoring center; analyzing the monitoring platform operation data to obtain third early warning information of the monitoring platform, including:
determining the reason of alarm occurrence according to the alarm data of the centralized monitoring center;
and generating the third early warning information according to the alarm occurrence reason.
Optionally, after the first warning information, the second warning information, and the third warning information are sent to a user service system, the method further includes:
recording the sending time of early warning information, wherein the early warning information is the first early warning information, the second early warning information or the third early warning information;
and adjusting the sending time of the early warning information according to the time interval between the adjacent sending times, or adjusting the generation condition of the early warning information according to the time interval between the adjacent sending times.
According to another aspect of the embodiments of the present invention, there is provided an early warning device for a dynamic environment monitoring system, the device including:
the acquisition module is used for acquiring the operation data of the power environment monitoring system, wherein the operation data comprises local station monitoring data, power equipment monitoring data and monitoring platform operation data;
the first analysis module is used for analyzing the station monitoring data to obtain first early warning information of the station;
the second analysis module is used for analyzing the monitoring data of the power equipment to obtain second early warning information of the power equipment;
the third analysis module is used for analyzing the operation data of the monitoring platform to obtain third early warning information of the monitoring platform;
and the sending module is used for sending the first early warning information, the second early warning information and the third early warning information to a user service system.
According to still another aspect of an embodiment of the present invention, there is provided an early warning system, including:
the system comprises a data acquisition unit, a logic analysis unit and a user service unit;
the data acquisition unit is respectively connected with the dynamic environment monitoring system and the logic analysis unit and is used for transmitting the acquired running data of the dynamic environment monitoring system to the logic analysis unit;
the logic analysis unit is connected with the user service unit and used for analyzing the operation data sent by the data acquisition unit, generating early warning information and sending the early warning information to the user service unit;
and the user service unit is used for sending the received early warning information to the user side.
According to the embodiment of the invention, the acquired operation data of the power environment monitoring system is analyzed, and the power environment monitoring system is early warned in three scenes, namely the branch station, the power equipment and the monitoring platform.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
Drawings
The drawings are only for purposes of illustrating embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart illustrating an early warning method of a dynamic environment monitoring system according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a warning method of a dynamic environment monitoring system according to another embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an early warning device of a dynamic environment monitoring system provided by an embodiment of the invention;
fig. 4 is a schematic structural diagram of an early warning system provided in an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computing device provided by an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein.
Fig. 1 shows a flowchart of an early warning method of a dynamic environment monitoring system according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
step 110: and acquiring the operation data of the dynamic environment monitoring system.
The power environment monitoring system comprises a station, power equipment and a monitoring platform. The office station comprises various machine rooms, base stations, access networks and the like. The power equipment is power equipment in the station, and examples thereof include a switching power supply, an Uninterruptible Power Supply (UPS), an air conditioner, and a battery. The station also comprises a monitoring device for monitoring the operation condition of each power device in the station. The monitoring platform comprises a server and a database, wherein the server is used for providing service for monitoring equipment in the station, and the database is used for storing the operation data of the whole dynamic environment monitoring system. The main body for executing the embodiment of the invention is an early warning system which is communicated with a dynamic environment monitoring system, so that the operation data of the dynamic environment monitoring system is obtained from a database of a monitoring platform.
The operation data of the power environment monitoring system comprises station monitoring data, power equipment monitoring data and monitoring platform operation data. The station monitoring data includes station alarm data and device performance data. The station alarm data includes station information, alarm category, station activity alarm information and station history alarm information. And the station information is used for representing the station indicated by the alarm information. The station information includes area information where the station is located, a station name, a station ID, and the like. The alarm categories include active alarms and historical alarms. The station activity alarm represents an alarm being generated by the station, and the station history alarm represents an alarm which has been processed. The station activity alarm information and the station history alarm information both comprise the time when the alarm occurs and the reason of the alarm. For example, alarms caused by communication interruptions are monitored, etc. The device performance data is performance data of power devices in the office station, for example, voltage, power, and the like of the devices.
The power equipment monitoring data includes power equipment alarm data and equipment performance data. The power equipment alarm data comprises equipment information, equipment activity alarm information, equipment history alarm information and equipment interruption alarm information. The device activity alarms indicate alarms that are occurring at the device and the device history alarms indicate alarms that have been processed. The equipment activity alarm information and the equipment history alarm information comprise the time when the alarm occurs and the reason of the alarm. For example, alarms caused by communication interruptions of the monitoring device, etc.
The monitoring platform operation data includes first operation data of a Local Supervision Center (LSC) and second operation data of a Centralized Supervision Center (CSC). LSC denotes a city level monitoring center and CSC denotes a provincial level monitoring center. The first operational data includes an operational log and database alarm insertion data. Wherein the database comprises an activity alarm database, a historical alarm database and a device performance database. The activity alarm database is used for storing the active alarms which are occurring, the historical alarm database is used for storing the alarms which have occurred, and the equipment performance database is used for storing the performance data of the power equipment. The second operation data comprises the alarm queue number, the daily alarm amount and the daily work sheet amount of the alarm database. The alarm database refers to a database used for storing alarm data in the centralized monitoring center. The alarm queue number is the total number of alarms waiting to be stored in the alarm database. The daily alarm amount is the total number of alarms occurring in 24 hours in each city. The daily work unit is the total number of alarms processed in 24 hours in each city.
Step 120: and analyzing the monitoring data of the local station to obtain first early warning information of the local station.
In this step, it is checked whether there is an office station activity alarm in the office station monitoring data in the first time period. The specific time interval indicated by the first time interval may be any time interval, and the embodiment of the present invention is not limited thereto. In one embodiment, the first period of time is 24 hours. If the station activity alarm exists, the station monitoring is normal. If the station monitoring data does not have the station activity alarm, judging whether the station monitoring data has the communication interruption alarm, if so, indicating that the monitoring equipment in the station has a fault and cannot communicate with other monitoring equipment and monitored equipment in the station. In this case, first warning information is generated, and the first warning information includes information about a failure of the station monitoring device. In this case, although there has been a communication interruption alarm, the alarm may not be reported or processed in time. The fault can be reported in time by generating the first early warning information, and the fault processing efficiency is improved.
If the communication interruption alarm does not exist, whether the station history alarm is updated in the second time period is judged, if the station history alarm is not updated, the station abnormality is indicated, and the station abnormality comprises station configuration error or station shielding. The station configuration error includes a station configuration error itself or a device configuration error in the station. In this case, the generated first warning information includes station abnormality information.
If the historical alarm of the station is updated, whether the equipment performance data is updated is further judged, if the equipment performance data is updated, the station configuration is correct and the station is not shielded, the equipment rejected in battle can be normally monitored, and the station monitoring is normal. If the performance data of the equipment is not updated, it indicates that the monitoring data of the equipment cannot be normally acquired, and if the monitoring equipment fault does not occur, it is determined that the interface of the monitoring equipment of the station has a fault, and the interface fault is used as first early warning information of the station.
Step 130: and analyzing the monitoring data of the power equipment to obtain second early warning information of the power equipment.
And checking alarm data of the power equipment, and if equipment activity alarm exists in the third time period, determining that the local station where the power equipment is located is monitored normally. And if the equipment communication interruption alarm exists, determining the monitoring equipment fault of the monitoring power equipment, and taking the monitoring equipment fault as second early warning information of the power equipment. The third time period may be any time period, and the embodiment of the present invention is not limited to the specific duration of the third time period. In a specific embodiment, the third period of time is 24 hours.
And if the activity alarm does not exist, judging whether the equipment history alarm in the fourth time period is updated, if the equipment history alarm is not updated, determining the monitoring equipment fault of the power equipment, and using the monitoring equipment fault as second early warning information of the power equipment. And if the historical alarm of the equipment is updated in the fourth time period, judging whether the performance data of the power equipment is updated, and if the performance data of the power equipment is updated, determining that the monitoring equipment is normal. Otherwise, determining the interface fault of the monitoring equipment, and using the interface fault as second early warning information of the power equipment.
Step 140: and analyzing the operation data of the monitoring platform to obtain third early warning information of the monitoring platform.
Monitoring the platform operational data includes analyzing first operational data of the LSC and analyzing second operational data of the CSC. When the first operation data is analyzed, whether the interface of the LSC is normal is checked through a heartbeat mechanism. The interface of the LSC is the interface of the monitoring device. And during the checking, sending interaction information to the interface of the LSC at a certain frequency, wherein the interaction information is used for testing whether the interface of the LSC is normal. And after receiving the interactive information, the interface of the LSC returns confirmation information to the early warning system, if the early warning system receives the information returned by the interface of the LSC, the interface is normal, otherwise, the interface is abnormal. And taking the interface abnormality of the LSC as third early warning information.
The first operational data also includes alarm insertion data for each database. The databases include an active alarms database, a historical alarms database, and a historical device performance database. If the active alarms database does not receive active alarms within the first monitoring time period, determining that the active alarms of the LSC are abnormal in uploading. And uploading the activity alarm of the LSC as third early warning information. The first monitoring period may be any period of time, for example, 20 minutes. And if the historical alarm database does not receive the historical alarm in the second monitoring time period, determining that the LSC historical activity alarm uploading exception is third early warning information. And at the second monitoring time, if the equipment performance database does not receive the historical equipment performance data within the third monitoring time period, uploading the abnormal historical equipment performance data as third early warning information.
When the second operation data of the CSC is analyzed, if the alarm queue number in the alarm database is larger than the first threshold value, the CSC is abnormal. Wherein, the alarm database is used for storing the alarms of each city. For example, if the first threshold is 20000, when the number of alarm queues is greater than 20000, the alarm database stores data slowly, and generates third warning information to prompt the user that the database stores data slowly.
If the fluctuation range of the daily alarm amount exceeds the first range, the alarm is excessive, which indicates that the monitoring system has faults or the set alarm condition is not appropriate, and the specific reason of the alarm should be determined by combining the judgment in the step 120 and the judgment in the step 130. In this case, third warning information of the CSC abnormality is generated. The first range may be adaptively set, for example, a normal value is set, and a normal value fluctuation range of-10% to 10% is determined as the first range.
And if the fluctuation range of the daily work single quantity exceeds the second range, the alarm is excessive, the CSC is determined to be abnormal, and third early warning information of the CSC abnormality is generated. Wherein the second range may be adaptively set, for example, a normal value is set, and a normal value fluctuation range of-15% to 15% is determined as the second range.
In an embodiment of the invention the second operational data further comprises CSC alarm data. The cause of the alarm occurrence can be determined from the CSC alarm data. And generating third early warning information according to the reason of the alarm. Wherein, each alarm data and the determined alarm reason can be determined by the following table 1.
TABLE 1
| Program communication interruption alarm for telephone traffic network management interface | Long-time non-uploading interactive information of telephone traffic network management interface |
| Integrated topology interface program communication interrupt alert | Long-time non-uploading of interactive information of comprehensive topological interface |
| Integrated monitoring interface program communication interruption alarm | Long-time non-uploading interactive information of comprehensive monitoring interface |
| Real-time data service procedure communication interruption warning | Real-time data service program interactive information is not sent for a long time |
| Telephone traffic network management program database record abnormity | Detecting that the data storage record is greater than the first value |
| Synthetic topology program database record exceptions | Detecting that the data storage record is greater than the second value |
| Integrated monitor database record exceptions | Detecting that the data storage record is greater than the third value |
| Too high CPU utilization rate of front-end processor B in A city | CPU utilization rate corresponding to the B front-end processor exceeds a set threshold value |
| The broadband occupancy rate of the A-ground network is too high | Network broadband occupancy rate exceeds a set threshold value |
| Too high CPU occupancy rate of M number server | The utilization rate of the M number server exceeds a threshold value |
| Residual capacity of hard disk of M-number server is insufficient | Residual capacity of hard disk of M-number server is lower than threshold value |
Step 150: and sending the first early warning information, the second early warning information and the third early warning information to a user service system.
In this step, after the early warning system generates the first early warning information, the second early warning information and the third early warning information, the early warning information is sent to the user service system. And after receiving the early warning information, the user service system outputs the early warning information to the user side, and displays the early warning information to the user.
According to the embodiment of the invention, the acquired operation data of the power environment monitoring system is analyzed, and the power environment monitoring system is early warned in three scenes, namely the branch station, the power equipment and the monitoring platform.
Fig. 2 is a flowchart illustrating an early warning method of a dynamic environment monitoring system according to another embodiment of the present invention. As shown in fig. 2, an embodiment of the present invention includes the following steps:
step 210: and acquiring the operation data of the dynamic environment monitoring system.
Step 220: and analyzing the monitoring data of the local station to obtain first early warning information of the local station.
Step 230: and analyzing the monitoring data of the power equipment to obtain second early warning information of the power equipment.
Step 240: and analyzing the operation data of the monitoring platform to obtain third early warning information of the monitoring platform.
Step 250: and sending the first early warning information, the second early warning information and the third early warning information to a user service system.
Step 260: and recording the sending time of the early warning information.
In this step, the warning information is the first warning information, the second warning information, or the third warning information. The transmission time of the warning information is the time when the warning information is transmitted to the user service system.
Step 270: and adjusting the sending time of the early warning information according to the time interval between the adjacent sending times, or adjusting the generation condition of the early warning information according to the time interval between the adjacent sending times.
If the sending time interval of the early warning information is too short, the early warning report is too frequent, and the sending time of the early warning information is increased. Or, the generation conditions of each early warning information are improved. Specifically, for the first early warning information of the station, the time of the first time period and the time of the second time period are prolonged. And prolonging the time of the third time period and the fourth time period for the second early warning information of the power equipment. And for third early warning information of the monitoring platform, prolonging the first monitoring time period, the second monitoring time period and the third monitoring time period, or increasing a first threshold corresponding to the alarm queuing number, a first range corresponding to the daily alarm amount or a second range corresponding to the daily work single amount.
And if the sending time interval of the early warning information is too long, reducing the sending time of the early warning information. Or, the generation condition of each warning information is reduced. Specifically, for the first early warning information of the station, the time of the first time period and the time of the second time period are shortened. And for the second early warning information of the power equipment, shortening the time of the third time period and the fourth time period. And for third early warning information of the monitoring platform, shortening the first monitoring time period, the second monitoring time period and the third monitoring time period, or reducing a first threshold corresponding to the warning queue number, shortening a first range corresponding to the daily warning amount or shortening a second range corresponding to the daily work single amount.
According to the embodiment of the invention, the early warning reporting time or the early warning generating condition of the early warning system is optimized according to the sending time of the early warning information, so that the reliability of the early warning system is improved.
Fig. 3 shows a functional block diagram of an early warning device of a dynamic environment monitoring system according to an embodiment of the present invention. As shown in fig. 3, the apparatus includes: the obtaining module 310 is configured to obtain operation data of the power environment monitoring system, where the operation data includes station monitoring data, power equipment monitoring data, and monitoring platform operation data. The first analysis module 320 is configured to analyze the station monitoring data to obtain first early warning information of the station. And the second analysis module 330 is configured to analyze the power equipment monitoring data to obtain second early warning information of the power equipment. And the third analysis module 340 is configured to analyze the monitoring platform operation data to obtain third early warning information of the monitoring platform. A sending module 350, configured to send the first warning information, the second warning information, and the third warning information to a user service system.
The station monitoring data includes station alarm data and device performance data, the station alarm data includes station activity alarm, station history alarm and station communication interruption alarm, the station monitoring data is analyzed to obtain first early warning information of the station, including:
judging whether the station activity alarm exists in the first time period, if so, determining that the station monitoring is normal, otherwise,
judging whether a station communication interruption alarm exists, if so, determining the monitoring equipment fault of the station, and using the monitoring equipment fault of the station as first early warning information of the station, otherwise,
judging whether the historical alarm of the station is updated in the second time period, if the historical alarm of the station is not updated, determining that the station is abnormal, and using the abnormal station as the first early warning information of the station, otherwise,
judging whether the equipment performance data is updated, if so, determining that the office station is normally monitored, otherwise,
and determining an interface fault of the monitoring equipment of the station, and using the interface fault as first early warning information of the station.
Optionally, the power equipment monitoring data includes alarm data of the power equipment and performance data of the power equipment, the alarm data of the power equipment includes equipment activity alarm, equipment history alarm and equipment communication interruption alarm, and the power equipment monitoring data is analyzed to obtain second early warning information of the power equipment, including:
judging whether equipment activity alarm exists in the third time period, if so, determining that the office station where the power equipment is located monitors normally, otherwise,
judging whether equipment communication interruption alarm exists or not, if so, determining the monitoring equipment fault of the power equipment, and taking the monitoring equipment fault as second early warning information of the power equipment, otherwise,
judging whether the equipment history alarm is updated in the fourth time period, if not, determining the monitoring equipment fault of the power equipment, and using the monitoring equipment fault as the second early warning information of the power equipment, otherwise,
judging whether the performance data of the power equipment is updated, if so, determining that the monitoring equipment is normal, otherwise,
and determining the interface fault of the monitoring equipment, and using the interface fault as second early warning information of the power equipment.
Optionally, the monitoring platform operation data includes first operation data of the area monitoring center, the first operation data includes an operation log, and the monitoring platform operation data is analyzed to obtain third early warning information of the monitoring platform, including:
sending interaction information to an interface of the area monitoring center according to a preset frequency, wherein the interaction information is used for testing whether the interface connection of the area monitoring center is normal or not;
and if the information returned by the interface is received, determining that the interface is normal, otherwise, determining that the interface is abnormal, and taking the interface abnormality as third early warning information.
Optionally, the first operation data further includes alarm insertion data of a database, where the database includes an activity alarm database, a historical alarm database, and a historical device performance database, and the analyzing the operation data of the monitoring platform to obtain third early warning information of the monitoring platform includes:
if the activity alarm database does not receive the activity alarm within the first monitoring time period, determining that the activity alarm uploading abnormality of the area monitoring center is the third early warning information;
if the historical alarm database does not receive the historical alarm within a second monitoring time period, determining that the alarm of the historical activity of the area monitoring center is abnormally sent as the third early warning information;
and if the historical equipment performance database does not receive the historical equipment performance data in a third monitoring time period, determining that the historical equipment performance data is uploaded abnormally as the third early warning information.
Optionally, the monitoring platform operation data includes second operation data of the centralized monitoring center, and the second operation data includes the number of alarm queues, daily alarm amount, and daily work order amount of the alarm database; analyzing the monitoring platform operation data to obtain third early warning information of the monitoring platform, including:
and if the alarm queue number of the alarm database is greater than a first threshold value, or the fluctuation range of the daily alarm quantity exceeds a first range, or the fluctuation range of the daily work single quantity exceeds a second range, determining that the centralized monitoring center is abnormal, and taking the abnormal centralized monitoring center as the third early warning information.
Optionally, the second operation data further includes alarm data of the centralized monitoring center; analyzing the monitoring platform operation data to obtain third early warning information of the monitoring platform, including:
determining the reason of alarm occurrence according to the alarm data of the centralized monitoring center;
and generating the third early warning information according to the alarm occurrence reason.
Optionally, the apparatus further comprises: a recording module 360 and a sending module 370. The recording module 360 is configured to record sending time of early warning information, where the early warning information is the first early warning information, the second early warning information, or the third early warning information. The sending module 370 is configured to adjust the sending time of the warning information according to a time interval between adjacent sending times, or adjust the generating condition of the warning information according to a time interval between adjacent sending times.
According to the embodiment of the invention, the acquired operation data of the power environment monitoring system is analyzed, and the power environment monitoring system is early warned in three scenes, namely the branch station, the power equipment and the monitoring platform.
Fig. 4 shows a schematic structural diagram of an early warning system according to an embodiment of the present invention. As shown in fig. 4, the warning system includes: the system comprises a data acquisition unit 100, a logic analysis unit 200 and a user service unit 300, wherein the data acquisition unit 100 is respectively connected with a dynamic environment monitoring system and the logic analysis unit 200 and is used for sending acquired running data of the dynamic environment monitoring system to the logic analysis unit; the logic analysis unit 200 is connected to the user service unit 300, and configured to analyze the operation data sent by the data acquisition unit 100, generate early warning information, and send the early warning information to the user service unit 300; the user service unit 300 is configured to send the received early warning information to a user side.
Fig. 5 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.
As shown in fig. 5, the computing device may include: a processor (processor)402, a Communications Interface 404, a memory 406, and a Communications bus 408.
Wherein: the processor 402, communication interface 404, and memory 406 communicate with each other via a communication bus 408. A communication interface 404 for communicating with network elements of other devices, such as clients or other servers. Processor 402, configured to execute program 410, may specifically execute relevant steps in the above-described early warning method embodiment for a dynamic environment monitoring system.
In particular, program 410 may include program code comprising computer-executable instructions.
The processor 402 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 406 for storing a program 410. Memory 406 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
In particular, program 410 may be invoked by processor 402 to cause a computing device to perform steps 110-150 of fig. 1, steps 210-270 of fig. 2, and to implement the functionality of modules 310-370 of fig. 3.
Embodiments of the present invention provide a computer-readable storage medium, where at least one executable instruction is stored, and when the executable instruction is executed on a computing device/apparatus, the computing device/apparatus is caused to execute an early warning method of a dynamic environment monitoring system in any of the above method embodiments.
Embodiments of the present invention provide a computer program, where the computer program can be called by a processor to enable a computing device to execute an early warning method of a dynamic environment monitoring system in any of the above method embodiments.
Embodiments of the present invention provide a computer program product comprising a computer program stored on a computer-readable storage medium, the computer program comprising program instructions that, when run on a computer, cause the computer to perform the method of early warning of a dynamic environment monitoring system in any of the above-described method embodiments.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (10)
1. An early warning method for a dynamic environment monitoring system, the method comprising:
acquiring operation data of the power environment monitoring system, wherein the operation data comprises station monitoring data, power equipment monitoring data and monitoring platform operation data;
analyzing the station monitoring data to obtain first early warning information of the station;
analyzing the monitoring data of the power equipment to obtain second early warning information of the power equipment;
analyzing the operation data of the monitoring platform to obtain third early warning information of the monitoring platform;
and sending the first early warning information, the second early warning information and the third early warning information to a user service system.
2. The method according to claim 1, wherein the station monitoring data includes station alarm data and device performance data, the station alarm data includes station activity alarm, station history alarm and station communication interruption alarm, and the analyzing the station monitoring data to obtain the first warning information of the station includes:
judging whether the station activity alarm exists in the first time period, if so, determining that the station monitoring is normal, otherwise,
judging whether a station communication interruption alarm exists, if so, determining the monitoring equipment fault of the station, and using the monitoring equipment fault of the station as first early warning information of the station, otherwise,
judging whether the historical alarm of the station is updated in the second time period, if the historical alarm of the station is not updated, determining that the station is abnormal, and using the abnormal station as the first early warning information of the station, otherwise,
judging whether the equipment performance data is updated, if so, determining that the office station is normally monitored, otherwise,
and determining an interface fault of the monitoring equipment of the station, and using the interface fault as first early warning information of the station.
3. The method of claim 1, wherein the power equipment monitoring data includes power equipment alarm data and power equipment performance data, the power equipment alarm data includes equipment activity alarms, equipment history alarms, and equipment communication outage alarms, and analyzing the power equipment monitoring data to obtain second warning information for the power equipment comprises:
judging whether equipment activity alarm exists in the third time period, if so, determining that the office station where the power equipment is located monitors normally, otherwise,
judging whether equipment communication interruption alarm exists or not, if so, determining the monitoring equipment fault of the power equipment, and taking the monitoring equipment fault as second early warning information of the power equipment, otherwise,
judging whether the equipment history alarm is updated in the fourth time period, if not, determining the monitoring equipment fault of the power equipment, and using the monitoring equipment fault as the second early warning information of the power equipment, otherwise,
judging whether the performance data of the power equipment is updated, if so, determining that the monitoring equipment is normal, otherwise,
and determining the interface fault of the monitoring equipment, and using the interface fault as second early warning information of the power equipment.
4. The method of claim 1, wherein the monitoring platform operation data comprises first operation data of a regional monitoring center, the first operation data comprises an operation log, and the analyzing the monitoring platform operation data to obtain third early warning information of the monitoring platform comprises:
sending interaction information to an interface of the area monitoring center according to a preset frequency, wherein the interaction information is used for testing whether the interface connection of the area monitoring center is normal or not;
and if the information returned by the interface is received, determining that the interface is normal, otherwise, determining that the interface is abnormal, and taking the interface abnormality as third early warning information.
5. The method of claim 4, wherein the first operational data further comprises alarm insertion data of a database, the database comprising an active alarm database, a historical alarm database, and a historical device performance database, and the analyzing the operational data of the monitoring platform to obtain third pre-warning information of the monitoring platform comprises:
if the activity alarm database does not receive the activity alarm within the first monitoring time period, determining that the activity alarm uploading abnormality of the area monitoring center is the third early warning information;
if the historical alarm database does not receive the historical alarm within a second monitoring time period, determining that the alarm of the historical activity of the area monitoring center is abnormally sent as the third early warning information;
and if the historical equipment performance database does not receive the historical equipment performance data in a third monitoring time period, determining that the historical equipment performance data is uploaded abnormally as the third early warning information.
6. The method of claim 1, wherein the monitoring platform operational data comprises second operational data of a centralized monitoring center, the second operational data comprising alarm queue number, daily alarm amount, and daily work order amount of an alarm database; analyzing the monitoring platform operation data to obtain third early warning information of the monitoring platform, including:
and if the alarm queue number of the alarm database is greater than a first threshold value, or the fluctuation range of the daily alarm quantity exceeds a first range, or the fluctuation range of the daily work single quantity exceeds a second range, determining that the centralized monitoring center is abnormal, and taking the abnormal centralized monitoring center as the third early warning information.
7. The method of claim 6, wherein the second operational data further comprises alarm data of the centralized monitoring center; analyzing the monitoring platform operation data to obtain third early warning information of the monitoring platform, including:
determining the reason of alarm occurrence according to the alarm data of the centralized monitoring center;
and generating the third early warning information according to the alarm occurrence reason.
8. The method of claim 1, wherein after sending the first warning information, the second warning information, and the third warning information to a user service system, the method further comprises:
recording the sending time of early warning information, wherein the early warning information is the first early warning information, the second early warning information or the third early warning information;
and adjusting the sending time of the early warning information according to the time interval between the adjacent sending times, or adjusting the generation condition of the early warning information according to the time interval between the adjacent sending times.
9. An early warning device of a dynamic environment monitoring system, the device comprising:
the acquisition module is used for acquiring the operation data of the power environment monitoring system, wherein the operation data comprises local station monitoring data, power equipment monitoring data and monitoring platform operation data;
the first analysis module is used for analyzing the station monitoring data to obtain first early warning information of the station;
the second analysis module is used for analyzing the monitoring data of the power equipment to obtain second early warning information of the power equipment;
the third analysis module is used for analyzing the operation data of the monitoring platform to obtain third early warning information of the monitoring platform;
and the sending module is used for sending the first early warning information, the second early warning information and the third early warning information to a user service system.
10. An early warning system, the system comprising:
the system comprises a data acquisition unit, a logic analysis unit and a user service unit;
the data acquisition unit is respectively connected with the dynamic environment monitoring system and the logic analysis unit and is used for transmitting the acquired running data of the dynamic environment monitoring system to the logic analysis unit;
the logic analysis unit is connected with the user service unit and used for analyzing the operation data sent by the data acquisition unit, generating early warning information and sending the early warning information to the user service unit;
and the user service unit is used for sending the received early warning information to the user side.
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