CN113391611B - Early warning method, device and system for power environment monitoring system - Google Patents

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 a power environment monitoring system, wherein the operation data comprises local station monitoring data, power equipment monitoring data and monitoring platform operation data; analyzing the monitoring data of the station 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

Early warning method, device and system for power environment monitoring system

technical field

The embodiments of the present invention relate to the technical field of power environment monitoring, and in particular to an early warning method, device and system for a power environment monitoring system.

Background technique

With the continuous advancement of power environment monitoring technology, the accuracy of power equipment alarm and power equipment monitoring has reached a high level. However, there is no better way to detect the reliability of the power environment monitoring system and the operating status of the equipment in the system.

At present, the method for checking the running state of the power environment monitoring system is to establish a communication relationship with the equipment in the power environment monitoring system. If the communication is interrupted, an alarm message is generated.

The above method can only handle the fault when the alarm information is generated, and cannot predict the fault in advance.

Contents of the invention

In view of the above problems, the embodiments of the present invention provide an early warning method, device and system for a power environment monitoring and monitoring system, which are used to solve the problem of power environment monitoring and early warning existing in the prior art.

According to an aspect of an embodiment of the present invention, an early warning method for power environment monitoring is provided, the method comprising:

Obtaining the operation data of the power environment monitoring system, the operation data includes station monitoring data, power equipment monitoring data and monitoring platform operation data;

Analyzing the station monitoring data to obtain the first warning information of the station;

Analyzing the monitoring data of the power equipment to obtain the second early warning information of the power equipment;

Analyzing the operating data of the monitoring platform to obtain the third early warning information of the monitoring platform;

Sending the first warning information, the second warning information and the third warning information to a user service system.

Optionally, the station monitoring data includes station alarm data and equipment performance data, the station alarm data includes station activity alarms, station history alarms and station communication interruption alarms, and the station The monitoring data is analyzed to obtain the first warning information of the station, including:

Judging whether there is an office station activity alarm in the first time period, if there is an office station activity alarm, then determine that the station monitoring is normal, otherwise,

Judging whether there is an office station communication interruption alarm, if there is an office station communication interruption alarm, then determine the monitoring equipment failure of the office station, and use the monitoring equipment failure of the office station as the first early warning information of the office station, otherwise,

Judging whether the historical alarm of the office station is updated in the second time period, if the historical alarm of the office station is not updated, it is determined that the office station is abnormal, and the abnormality of the office station is used as the first early warning information of the office station, otherwise,

Judging whether the equipment performance data is updated, if the equipment performance data is updated, it is determined that the station monitoring is normal, otherwise,

Determine the interface failure of the monitoring equipment of the station, and use the interface failure as the first early warning information of the station.

Optionally, the power equipment monitoring data includes power equipment alarm data and power equipment performance data, and the power equipment alarm data includes equipment activity alarms, equipment history alarms, and equipment communication interruption alarms. Analyze the equipment monitoring data to obtain the second early warning information of the power equipment, including:

Judging whether there is an equipment activity alarm in the third time period, if there is an equipment activity alarm, then determine that the monitoring of the station where the power equipment is located is normal, otherwise,

Judging whether there is an equipment communication interruption alarm, if there is an equipment communication interruption alarm, then determining that the monitoring equipment of the power equipment is faulty, and using the monitoring equipment failure as the second early warning information of the power equipment, otherwise,

Judging whether the equipment history alarm is updated within the fourth time period, if the equipment history alarm is not updated, then determine that the monitoring equipment of the power equipment is faulty, and use the monitoring equipment failure as the second early warning information of the power equipment, otherwise,

Judging whether the power equipment performance data is updated, if the power equipment performance data is updated, then determine that the monitoring equipment is normal, otherwise,

Determine the interface failure of the monitoring equipment, and use the interface failure as the second early warning information of the power equipment.

Optionally, the operating data of the monitoring platform includes first operating data of the regional monitoring center, the first operating data includes operating logs, and the third warning information of the monitoring platform is obtained by analyzing the operating data of the monitoring platform ,include:

Sending interactive information to the interface of the regional monitoring center according to a preset frequency, the interactive information is used to test whether the interface connection of the regional monitoring center is normal;

If the information returned by the interface is received, it is determined that the interface is normal; otherwise, it is determined that the interface is abnormal, and the interface abnormality is used as the third warning information.

Optionally, the first operating data further includes alarm insertion data of a database, the database includes an active alarm database, a historical alarm database, and a historical equipment performance database, and the monitoring platform operating data is analyzed to obtain a monitoring platform The third warning information, including:

If the active alarm database does not receive an active alarm within the first monitoring time period, the abnormality of the active alarm sent by the regional monitoring center is determined as the third early warning information;

If the historical alarm database does not receive historical alarms within the second monitoring time period, the abnormality of the historical activity alarms sent by the regional monitoring center is determined as the third early warning information;

If the historical equipment performance database does not receive historical equipment performance data within the third monitoring time period, an abnormality in sending the historical equipment performance data is determined as the third early warning information.

Optionally, the monitoring platform operation data includes the second operation data of the centralized monitoring center, and the second operation data includes the number of alarm queues, daily alarm volume and daily work order volume in the alarm database; The operation data is analyzed to obtain the third early warning information of the monitoring platform, including:

If the alarm queuing number of the alarm database is greater than the first threshold, or the fluctuation range of the daily alarm volume exceeds the first range, or the fluctuation range of the daily work order volume exceeds the second range, then determine that the centralized monitoring If the center is abnormal, the abnormality of the centralized monitoring center is used as the third early warning information.

Optionally, the second operating data also includes alarm data of the centralized monitoring center; analyzing the operating data of the monitoring platform to obtain the third early warning information of the monitoring platform includes:

determining the cause of the alarm according to the alarm data in the centralized monitoring center;

Generate the third warning information based on the cause of the warning.

Optionally, after sending the first warning information, the second warning information and the third warning information to the user service system, the method further includes:

Recording the sending time of the early warning information, the early warning information being the first early warning information, the second early warning information or the third early warning information;

The sending time of the early warning information is adjusted according to the time interval between adjacent sending times, or the generation condition of the early warning information is adjusted according to the time interval between adjacent sending times.

According to another aspect of the embodiments of the present invention, there is provided an early warning device for a power environment monitoring system, the device comprising:

The acquisition module is used to acquire the operation data of the power environment monitoring system, the operation data includes station monitoring data, power equipment monitoring data and monitoring platform operation data;

The first analysis module is used to analyze the monitoring data of the station to obtain the first early warning information of the station;

The second analysis module is used to analyze the monitoring data of the power equipment to obtain the second early warning information of the power equipment;

The third analysis module is used to analyze the operation data of the monitoring platform to obtain the third early warning information of the monitoring platform;

A sending module, configured to send the first warning information, the second warning information and the third warning information to a user service system.

According to yet another aspect of the embodiments of the present invention, an early warning system is provided, the system comprising:

Data acquisition unit, logic analysis unit and user service unit;

The data acquisition unit is respectively connected to the power environment monitoring system and the logic analysis unit, and is used to send the collected operation data of the power environment monitoring system to the logic analysis unit;

The logic analysis unit is connected to the user service unit, and is used to analyze the operation data sent by the data acquisition unit, generate early warning information, and send the early warning information to the user service unit;

The user service unit is used to send the received warning information to the user terminal.

In the embodiment of the present invention, by analyzing the acquired operating data of the power environment monitoring system, the three scenarios of sub-office station, power equipment and monitoring platform provide early warning to the power environment monitoring system. Through the embodiment of the invention, when the power environment monitoring system fails Even if the user does not receive the alarm information, he can know the cause of the fault in the power environment monitoring system through the early warning information, and effectively locate the fault point, thereby improving the reliability of the power environment monitoring system.

The above description is only an overview of the technical solutions of the embodiments of the present invention. In order to better understand the technical means of the embodiments of the present invention, it can be implemented according to the contents of the description, and in order to make the above and other purposes, features and The advantages can be more obvious and understandable, and the specific embodiments of the present invention are enumerated below.

Description of drawings

The drawings are only for illustrating the embodiments and are not to be considered as limiting the invention. Also throughout the drawings, the same reference numerals are used to designate the same components. In the attached picture:

Fig. 1 shows the flowchart of the early warning method of the power environment monitoring system provided by the embodiment of the present invention;

Fig. 2 shows the flowchart of the early warning method of the power environment monitoring system provided by another embodiment of the present invention;

Fig. 3 shows a schematic structural diagram of an early warning device of a power environment monitoring system provided by an embodiment of the present invention;

FIG. 4 shows a schematic structural diagram of an early warning system provided by an embodiment of the present invention;

Fig. 5 shows a schematic structural diagram of a computing device provided by an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein.

Fig. 1 shows a flow chart of an early warning method for a power environment monitoring system according to an embodiment of the present invention. As shown in Figure 1, the method includes the following steps:

Step 110: Obtain the operating data of the power environment monitoring system.

Among them, the power environment monitoring system includes the office station, power equipment and monitoring platform. Office stations include various computer rooms, base stations, access networks, etc. The power equipment is the power equipment in the station, for example, switching power supply, uninterrupted power supply (uninterrupted power supply, UPS), air conditioner, storage battery and other equipment. The office station also includes monitoring equipment, which is used to monitor the operation status of each power equipment in the office station. The monitoring platform includes a server and a database. The server is used to provide services for the monitoring equipment in the station, and the database is used to store the operation data of the entire power environment monitoring system. The main body implementing the embodiment of the present invention is the early warning system, which communicates with the power environment monitoring system, so as to obtain the operation data of the power environment monitoring system from the database of the monitoring platform.

Among them, the operation data of the power environment monitoring system includes station monitoring data, power equipment monitoring data and monitoring platform operation data. Among them, the station monitoring data includes station alarm data and equipment performance data. Station alarm data includes station information, alarm category, station activity alarm information and station history alarm information. Wherein, the station information is used to represent the station indicated by the alarm information. The station information includes the area information where the station is located, the name of the station, the ID of the station, etc. Alarm categories include active alarms and historical alarms. The station activity alarm indicates the alarm that is occurring in the station, and the station history alarm indicates the alarm that has been processed. Both station activity alarm information and station history alarm information include the time when the alarm occurred and the cause of the alarm. For example, monitoring alarms caused by communication interruptions, etc. The equipment performance data is the performance data of the power equipment in the office station, for example, the voltage and power of the equipment, and so on.

Power equipment monitoring data includes power equipment alarm data and equipment performance data. Wherein, the power equipment alarm data includes equipment information, equipment activity alarm information, equipment history alarm information and equipment interruption alarm information. Device activity alarms represent ongoing device alarms, and device history alarms represent processed alarms. Both device activity alarm information and device history alarm information include the alarm occurrence time and alarm reason. For example, alarms caused by communication interruption of monitoring equipment, etc.

The monitoring platform operating data includes first operating data of a regional monitoring center (local supervision center, LSC) and second operating data of a centralized monitoring center (central supervision center, CSC). LSC means city-level monitoring center, and CSC means provincial monitoring center. The first running data includes running logs and database alarm insertion data. Wherein, the database includes an active alarm database, a historical alarm database and a device performance database. The active alarm database is used to store active alarms that are occurring, the historical alarm database is used to store past alarms, and the equipment performance database is used to store performance data of power equipment. The second operating data includes the number of alarm queues in the alarm database, the daily alarm volume and the daily work order volume. The alarm database refers to the database used to store alarm data in the centralized monitoring center. The number of alarm queues is the total number of alarms waiting to be stored in the alarm database. The daily alarm volume is the total number of alarms that occurred in each city within 24 hours. The daily work order quantity is the total number of alarms processed within 24 hours in each city.

Step 120: Analyze the station monitoring data to obtain the first warning information of the station.

In this step, it is checked whether there is an office station activity alarm in the office station monitoring data within the first time period. Wherein, the specific time indicated by the first time period may be any time, which is not limited in this embodiment of the present invention. In one embodiment, the first period of time is 24 hours. If there is a station activity alarm, it means that the station monitoring is normal. If there is no station activity alarm in the station monitoring data, judge whether there is a communication interruption alarm in the station monitoring data. If there is a communication interruption alarm, it means that the monitoring equipment in the station is faulty and cannot communicate with other monitoring The device communicates with the monitored device. In this case, the first early warning information is generated, and the first early warning information includes failure information of the station monitoring equipment. In this case, although there has been a communication interruption alarm, the alarm may not be reported or processed in time. By generating the first early warning information, the fault can be reported in time, and the fault handling efficiency can be improved.

If there is no communication interruption alarm, it is judged whether the historical alarm of the office station is updated within the second time period. If the historical alarm of the office station is not updated, it means that the office station is abnormal. The abnormality of the office station includes the wrong configuration of the office station or the shielding of the office station. Wherein, the configuration error of the station includes the configuration error of the station itself or the configuration error of the equipment in the station. In this case, the generated first warning information includes station abnormality information.

If the history alarm of the station is updated, further judge whether the device performance data is updated. If the device performance data is updated, it means that the station configuration is correct and the station is not shielded, and the equipment in the refusal can be monitored normally, and the station monitoring is normal. If the device performance data is not updated, it means that the monitoring data of the device cannot be obtained normally. If there is no monitoring device failure, it is determined that the interface of the monitoring device of the station is faulty, and the interface fault is taken as the first warning information of the station. .

Step 130: Analyze the monitoring data of the power equipment to obtain the second early warning information of the power equipment.

Check the alarm data of the power equipment. If there is an equipment activity alarm within the third time period, it is determined that the monitoring of the station where the power equipment is located is normal. Otherwise, it is determined whether there is a device communication interruption alarm, and if there is a device communication interruption alarm, it is determined that the monitoring device monitoring the power device is faulty, and the monitoring device fault is used as the second early warning information of the power device. Wherein, 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.

If there is no active alarm, it is judged whether the equipment history alarm is updated within the fourth time period, if the equipment history alarm is not updated, it is determined that the monitoring equipment of the power equipment is faulty, and the monitoring equipment failure is used as the second early warning information of the power equipment. If the historical alarm of the equipment is updated within the fourth time period, it is determined whether the performance data of the power equipment is updated, and if the performance data of the power equipment is updated, it is determined that the monitoring equipment is normal. Otherwise, it is determined that the interface failure of the monitoring equipment is used as the second early warning information of the power equipment.

Step 140: Analyze the operating data of the monitoring platform to obtain the third early warning information of the monitoring platform.

Monitoring platform operating data includes analyzing the first operating data of the LSC and analyzing the second operating data of the CSC. When analyzing the first operating data, check whether the interface of the LSC is normal through the heartbeat mechanism. The interface of the LSC is the interface of the monitoring device. During inspection, exchange information is sent to the interface of the LSC at a certain frequency, and the exchange information is used to test whether the interface of the LSC is normal. After receiving the interaction information, the LSC interface returns confirmation information to the early warning system. If the early warning system receives the information returned by the LSC interface, the interface is normal, otherwise, the interface is abnormal. The interface abnormality of the LSC is used as the third warning information.

The first running data also includes alarm insertion data of each database. Databases include active alarm database, historical alarm database and historical equipment performance database. If the active alarm database does not receive an active alarm within the first monitoring time period, it is determined that the active alarm sending of the LSC is abnormal. Send the active alarm of the LSC to the exception as the third early warning information. The first monitoring time period may be any time period, for example, 20 minutes. If the historical alarm database does not receive the historical alarm within the second monitoring time period, the abnormality of the LSC historical activity alarm is determined as the third early warning information. In the second monitoring period, if the equipment performance database does not receive historical equipment performance data within the third monitoring period, the historical equipment performance data will be sent as the third early warning information.

When analyzing the second operating data of the CSC, if the number of alarm queues in the alarm database is greater than the first threshold, it indicates that the CSC is abnormal. Among them, the alarm database is used to store alarms in various cities. For example, if the first threshold is 20,000, when the number of alarm queues is greater than 20,000, the alarm database stores data slowly, and a third warning message is generated to prompt the user that the database stores data slowly.

If the fluctuation range of the daily alarm amount exceeds the first range, there are too many alarms, indicating that the monitoring system is faulty or the alarm conditions set are not suitable, and the specific reason for the alarm should be determined in conjunction with the judgment in step 120 and step 130. In this case, the third warning information of CSC abnormality is generated. Wherein, the first range can be set adaptively, for example, a normal value is set, and the fluctuation range of the normal value -10% to 10% is determined as the first range.

If the fluctuation range of the daily work order quantity exceeds the second range, there are too many alarms, it is determined that the CSC is abnormal, and the third early warning information of the CSC abnormality is generated. Wherein, the second range can be adaptively set, for example, a normal value is set, and the fluctuation range of the normal value -15% to 15% is determined as the second range.

In the embodiment of the present invention, the second operating data further includes CSC alarm data. The cause of the alarm can be determined based on the CSC alarm data. The third early warning information is generated according to the cause of the alarm. Wherein, each alarm data and the determined alarm cause may be determined by Table 1 below.

Table 1

Communication interruption alarm of the traffic network management interface program The traffic network management interface interaction information has not been sent for a long time Integrated topology interface program communication interruption alarm The integrated topology interface interaction information has not been sent for a long time Comprehensive monitoring interface program communication interruption alarm The interactive information of the comprehensive monitoring interface has not been uploaded for a long time Real-time data service program communication interruption alarm The interactive information of the real-time data service program has not been uploaded for a long time The database record of the traffic network management program is abnormal Detected that the datastore record is greater than the first value Comprehensive topology program database record exception Detected that the datastore record is greater than the second value Comprehensive monitoring program database record exception Detected that the data store record is greater than the third value The CPU usage of the front-end processor in city A and city B is too high The CPU usage corresponding to the B front-end processor exceeds the set threshold City A's network broadband occupancy rate is too high The network bandwidth occupancy rate exceeds the set threshold The CPU usage of server number M is too high M server usage exceeds the threshold The remaining capacity of the M server hard disk is insufficient The remaining capacity of the M server hard disk is lower than the threshold

Step 150: Send the first warning information, the second warning information and the third warning information to the 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, it sends each early warning information to the user service system. After receiving each early warning information, the user service system outputs the early warning information to the user end, and has displayed the early warning information to the user.

In the embodiment of the present invention, by analyzing the acquired operating data of the power environment monitoring system, the three scenarios of sub-office station, power equipment and monitoring platform provide early warning to the power environment monitoring system. Through the embodiment of the invention, when the power environment monitoring system fails Even if the user does not receive the alarm information, he can know the cause of the fault in the power environment monitoring system through the early warning information, and effectively locate the fault point, thereby improving the reliability of the power environment monitoring system.

Fig. 2 shows a flowchart of an early warning method of a power environment monitoring system according to another embodiment of the present invention. As shown in Figure 2, the embodiment of the present invention includes the following steps:

Step 210: Obtain the operating data of the power environment monitoring system.

Step 220: Analyze the station monitoring data to obtain the first warning information of the station.

Step 230: Analyze the monitoring data of the power equipment to obtain the second warning information of the power equipment.

Step 240: Analyze the operating data of the monitoring platform to obtain the third early warning information of the monitoring platform.

Step 250: Send the first warning information, the second warning information and the third warning information to the user service system.

Step 260: Record the sending time of the warning information.

In this step, the early warning information is the first early warning information, the second early warning information or the third early warning information. The sending time of the warning information is the time when the warning information is sent to the user service system.

Step 270: Adjust the sending time of the early warning information according to the time interval between adjacent sending times, or adjust the generation condition of the early warning information according to the time interval between adjacent sending times.

Wherein, if the time interval for sending the warning information is too short, the warning reporting is too frequent, and the sending time of the warning information is increased. Alternatively, the generation conditions of each early warning information are improved. Specifically, for the first warning information of the office station, the first time period and the second time period are extended. For the second warning information of the power equipment, the third time period and the fourth time period are extended. For the third early warning information on the monitoring platform, the first monitoring time period, the second monitoring time period, and the third monitoring time period are all extended, or the first threshold corresponding to the number of alarm queues is increased, and the first threshold corresponding to the number of daily alarms is increased. Increase the range or increase the second range corresponding to the daily work order volume.

If the time interval for sending the early warning information is too long, then reduce the time for sending the early warning information. Alternatively, the conditions for generating each warning message are lowered. Specifically, for the first early warning information of the office station, the first time period and the second time period are shortened. For the second warning information of the power equipment, the time of the third time period and the fourth time period is shortened. For the third early warning information on the monitoring platform, the first monitoring time period, the second monitoring time period, and the third monitoring time period are all shortened, or the first threshold corresponding to the number of alarm queues is reduced, and the first threshold corresponding to the number of daily alarms is reduced. The range is shortened or the second range corresponding to the daily work order quantity is shortened.

Through the embodiment of the present invention, according to the sending time of the early warning information, the early warning reporting time or the early warning generation conditions of the early warning system are optimized, thereby improving the reliability of the early warning system.

Fig. 3 shows a functional block diagram of an early warning device of a power environment monitoring system according to an embodiment of the present invention. As shown in FIG. 3 , the device includes: an acquisition module 310 for acquiring operation data of the power environment monitoring system, the operation data including 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 the first warning information of the station. The second analysis module 330 is configured to analyze the monitoring data of the power equipment to obtain second warning information of the power equipment. The third analysis module 340 analyzes the operation data of the monitoring platform to obtain the 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 equipment performance data, the station alarm data includes station activity alarms, station history alarms and station communication interruption alarms, and the station monitoring data is analyzed , get the first warning information of the station, including:

Judging whether there is an office station activity alarm in the first time period, if there is an office station activity alarm, then determine that the station monitoring is normal, otherwise,

Judging whether there is an office station communication interruption alarm, if there is an office station communication interruption alarm, then determine the monitoring equipment failure of the office station, and use the monitoring equipment failure of the office station as the first early warning information of the office station, otherwise,

Judging whether the historical alarm of the office station is updated in the second time period, if the historical alarm of the office station is not updated, it is determined that the office station is abnormal, and the abnormality of the office station is used as the first early warning information of the office station, otherwise,

Judging whether the equipment performance data is updated, if the equipment performance data is updated, it is determined that the station monitoring is normal, otherwise,

Determine the interface failure of the monitoring equipment of the station, and use the interface failure as the first early warning information of the station.

Optionally, the power equipment monitoring data includes power equipment alarm data and power equipment performance data, and the power equipment alarm data includes equipment activity alarms, equipment history alarms, and equipment communication interruption alarms. Analyze the equipment monitoring data to obtain the second early warning information of the power equipment, including:

Judging whether there is an equipment activity alarm in the third time period, if there is an equipment activity alarm, then determine that the monitoring of the station where the power equipment is located is normal, otherwise,

Judging whether there is an equipment communication interruption alarm, if there is an equipment communication interruption alarm, then determining that the monitoring equipment of the power equipment is faulty, and using the monitoring equipment failure as the second early warning information of the power equipment, otherwise,

Judging whether the equipment history alarm is updated within the fourth time period, if the equipment history alarm is not updated, then determine that the monitoring equipment of the power equipment is faulty, and use the monitoring equipment failure as the second early warning information of the power equipment, otherwise,

Judging whether the power equipment performance data is updated, if the power equipment performance data is updated, then determine that the monitoring equipment is normal, otherwise,

Determine the interface failure of the monitoring equipment, and use the interface failure as the second early warning information of the power equipment.

Optionally, the operating data of the monitoring platform includes first operating data of the regional monitoring center, the first operating data includes operating logs, and the third warning information of the monitoring platform is obtained by analyzing the operating data of the monitoring platform ,include:

Sending interactive information to the interface of the regional monitoring center according to a preset frequency, the interactive information is used to test whether the interface connection of the regional monitoring center is normal;

If the information returned by the interface is received, it is determined that the interface is normal; otherwise, it is determined that the interface is abnormal, and the interface abnormality is used as the third warning information.

Optionally, the first operating data further includes alarm insertion data of a database, the database includes an active alarm database, a historical alarm database, and a historical equipment performance database, and the monitoring platform operating data is analyzed to obtain a monitoring platform The third warning information, including:

If the active alarm database does not receive an active alarm within the first monitoring time period, the abnormality of the active alarm sent by the regional monitoring center is determined as the third early warning information;

If the historical alarm database does not receive historical alarms within the second monitoring time period, the abnormality of the historical activity alarms sent by the regional monitoring center is determined as the third early warning information;

If the historical equipment performance database does not receive historical equipment performance data within the third monitoring time period, an abnormality in sending the historical equipment performance data is determined as the third early warning information.

Optionally, the monitoring platform operation data includes the second operation data of the centralized monitoring center, and the second operation data includes the number of alarm queues, daily alarm volume and daily work order volume in the alarm database; The operation data is analyzed to obtain the third early warning information of the monitoring platform, including:

If the alarm queuing number of the alarm database is greater than the first threshold, or the fluctuation range of the daily alarm volume exceeds the first range, or the fluctuation range of the daily work order volume exceeds the second range, then determine that the centralized monitoring If the center is abnormal, the abnormality of the centralized monitoring center is used as the third early warning information.

Optionally, the second operating data also includes alarm data of the centralized monitoring center; analyzing the operating data of the monitoring platform to obtain the third early warning information of the monitoring platform includes:

determining the cause of the alarm according to the alarm data in the centralized monitoring center;

Generate the third warning information based on the cause of the warning.

Optionally, the device further includes: a recording module 360 and a sending module 370 . The recording module 360 is used to record the sending time of the early warning information, the early warning information being 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 early warning information according to the time interval between adjacent sending times, or adjust the generation condition of the early warning information according to the time interval between adjacent sending times.

In the embodiment of the present invention, by analyzing the acquired operating data of the power environment monitoring system, the three scenarios of sub-office station, power equipment and monitoring platform provide early warning to the power environment monitoring system. Through the embodiment of the invention, when the power environment monitoring system fails Even if the user does not receive the alarm information, he can know the cause of the fault in the power environment monitoring system through the early warning information, and effectively locate the fault point, thereby improving the reliability of the power environment monitoring system.

Fig. 4 shows a schematic structural diagram of an early warning system according to an embodiment of the present invention. As shown in Figure 4, the early warning system includes: a data acquisition unit 100, a logic analysis unit 200 and a user service unit 300, and the data acquisition unit 100 is connected with the power environment monitoring system and the logic analysis unit 200 respectively, for The collected operation data of the power environment monitoring system is sent to the logic analysis unit; the logic analysis unit 200 is connected to the user service unit 300 for analyzing the operation data sent by the data collection 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 the user terminal.

FIG. 5 shows a schematic structural diagram of a computing device according to an embodiment of the present invention. 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 communication interface (Communications Interface) 404 , a memory (memory) 406 , and a communication bus 408 .

Wherein: the processor 402 , the communication interface 404 , and the memory 406 communicate with each other through the communication bus 408 . The communication interface 404 is used to communicate with network elements of other devices such as clients or other servers. The processor 402 is configured to execute the program 410, specifically, may execute the relevant steps in the above embodiment of the early warning method for a power environment monitoring system.

Specifically, the program 410 may include program codes including 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 the embodiments of the present invention. The one or more processors included in the computing device may be of the same type, such as one or more CPUs, or may be different types of processors, such as one or more CPUs and one or more ASICs.

The memory 406 is used to store the program 410 . The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

Specifically, the program 410 can be invoked by the processor 402 to make the computing device execute steps 110 to 150 in FIG. 1 , steps 210 to 270 in FIG. 2 , and realize the functions of modules 310 to 370 in FIG. 3 .

An embodiment of the present invention provides a computer-readable storage medium, the storage medium stores at least one executable instruction, and when the executable instruction is run on a computing device/apparatus, the computing device/apparatus executes any of the above-mentioned methods The early warning method of the power environment monitoring system in the embodiment.

An embodiment of the present invention provides a computer program, and the computer program can be called by a processor to enable a computing device to execute the early warning method of the power environment monitoring system in any of the above method embodiments.

An embodiment of the present invention provides a computer program product. The computer program product includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. The early warning method of the power environment monitoring system in the method embodiment.

The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other device. Various generic systems can also be used with the teachings based on this. The structure required to construct such a system is apparent from the above description. Furthermore, embodiments of the present invention are not directed to any particular programming language. It should be understood that various programming languages can be used to implement the content of the present invention described herein, and the above description of specific languages is for disclosing the best mode of the present invention.

In the description provided herein, numerous specific details are set forth. However, it is understood 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 the understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, in order to streamline the present disclosure and to facilitate an understanding of one or more of the various inventive aspects, various features of the embodiments of the invention are sometimes grouped together into a single implementation examples, figures, or descriptions thereof. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed invention 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 can understand that the modules in the device in the embodiment can be adaptively changed and arranged in one or more devices different from the embodiment. Modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of sub-modules or sub-units or sub-assemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method or method so disclosed may be used in any combination, except that at least some of such features and/or processes or units are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including 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 understand that although some embodiments herein include some features included in other embodiments but not others, combinations of features from 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 can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the execution order.

Claims (9)

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; the station monitoring data comprises station alarm data and equipment performance data, wherein the station alarm data comprises station activity alarm, station history alarm and station communication interruption alarm;

analyzing the station monitoring data to obtain first early warning information of the station, including: judging whether a station activity alarm exists in a first time period, if so, determining that the station monitoring is normal, otherwise, judging whether a station communication interruption alarm exists; if the communication interruption alarm of the office station exists, determining the fault of the monitoring equipment of the office station, taking the fault of the monitoring equipment of the office station as first early warning information of the office station, and otherwise, judging whether the historical alarm of the office station is updated in a second time period; if the historical warning of the local station is not updated, determining that the local station is abnormal, using the abnormal local station as first early warning information of the local station, and otherwise, judging whether the performance data of the equipment is updated; if the equipment performance data is updated, determining that the monitoring of the office station is normal, otherwise determining that the interface of the monitoring equipment of the office station has a fault, and using the interface fault as first early warning information of the office 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 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 taking the monitoring equipment fault as 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 taking the interface fault as second early warning information of the power equipment.

3. 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.

4. The method of claim 3, 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 an activity alarm in a 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.

5. 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.

6. The method of claim 5, 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.

7. 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 generating condition of the early warning information according to the time interval between the adjacent sending times.

8. 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 station monitoring data comprises station alarm data and equipment performance data, wherein the station alarm data comprises station activity alarm, station history alarm and station communication interruption alarm;

the first analysis module is used for analyzing the station monitoring data to obtain first early warning information of the station, and comprises: judging whether a station activity alarm exists in a first time period, if so, determining that the station monitoring is normal, otherwise, judging whether a station communication interruption alarm exists; if the communication interruption alarm of the office station exists, determining the fault of the monitoring equipment of the office station, taking the fault of the monitoring equipment of the office station as first early warning information of the office station, and otherwise, judging whether the historical alarm of the office station is updated in a second time period; if the historical warning of the local station is not updated, determining that the local station is abnormal, using the abnormal local station as first early warning information of the local station, and otherwise, judging whether the performance data of the equipment is updated; if the equipment performance data is updated, determining that the monitoring of the office station is normal, otherwise determining that the interface of the monitoring equipment of the office station has a fault, and using the interface fault as first early warning information of the office 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.

9. 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 power environment monitoring system and the logic analysis unit and is used for transmitting the acquired operation data of the power environment monitoring system to the logic analysis unit, and the operation data comprises local station monitoring data, power equipment monitoring data and monitoring platform operation data; the station monitoring data comprises station alarm data and equipment performance data, wherein the station alarm data comprises station activity alarm, station history alarm and station communication interruption alarm;

the logic analysis unit is connected with the user service unit, and is 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, including: judging whether a station activity alarm exists in a first time period, if so, determining that the station monitoring is normal, otherwise, judging whether a station communication interruption alarm exists; if the communication interruption alarm of the central office station exists, determining the fault of the monitoring equipment of the central office station, taking the fault of the monitoring equipment of the central office station as first early warning information of the central office station, and otherwise, judging whether the historical alarm of the central office station is updated in a second time period; if the historical warning of the station is not updated, determining that the station is abnormal, taking the station abnormality as first early warning information of the station, and otherwise, judging whether the performance data of the equipment is updated; if the equipment performance data is updated, determining that the monitoring of the office station is normal, otherwise determining that the interface of the monitoring equipment of the office station has a fault, and using the interface fault as first early warning information of the office 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; sending the first early warning information, the second early warning information and the third early warning information to a 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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