CN111143154A - Wharf operating system operation monitoring method and device, server and storage medium - Google Patents
Wharf operating system operation monitoring method and device, server and storage medium Download PDFInfo
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Abstract
The invention discloses a wharf operating system operation monitoring method, a wharf operating system operation monitoring device, a server and a storage medium. The method comprises the following steps: acquiring running data of a wharf operating system (TOS) in real time; comparing the operating data with preset standard data; and when the operation data is not in accordance with the standard data, recording the operation data as abnormal data, and generating alarm information. By the technical scheme, the wharf operating system is monitored in real time, and the running stability of the wharf operating system is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of wharf management, in particular to a wharf operating system operation monitoring method, a wharf operating system operation monitoring device, a server and a storage medium.
Background
With the rapid development of information technology and modern logistics technology, the cargo circulation speed tends to be accelerated. The container Terminal used as a global logistics operation hub can realize the functions of advanced stock yard position supply, instruction distribution and the like by virtue of an automatic and intelligent Terminal Operating System (TOS), provides an optimal scheme for the planning and control operation of the Terminal, and standardizes the production operation flow of the Terminal, thereby improving the production efficiency and reducing the operation cost. The performance of the TOS directly influences the production efficiency and competitiveness of the wharf, and has important significance on continuous improvement and service promotion of wharf management.
The TOS is a core production operating system of a container terminal, and can ensure stable operation only by having a good software and hardware environment. In the production operation environment of the whole wharf, peripheral system devices connected with the TOS are numerous under the normal condition, and the smooth operation of the TOS can be influenced by the fault of any one node. However, in the current TOS application, monitoring measures for each operation link are lacked, when the system is abnormal, the position of the abnormal problem can only be positioned by manpower, and then, a solution is taken, so that the production operation process of the wharf is seriously affected, and the stable operation of the TOS is not facilitated.
Disclosure of Invention
The invention provides a wharf operating system operation monitoring method, a wharf operating system operation monitoring device, a server and a storage medium, which are used for realizing real-time monitoring of a wharf operating system and improving the stability of wharf operating system operation.
In a first aspect, an embodiment of the present invention provides a method for monitoring operation of a wharf operating system, including:
acquiring running data of a wharf operating system (TOS) in real time;
comparing the operating data with preset standard data;
and when the operation data is not in accordance with the standard data, recording the operation data as abnormal data, and generating alarm information.
Further, the real-time collection of operating data of the TOS includes:
and acquiring the operation data of each monitoring object in the TOS in real time through the log acquisition agent node, wherein the operation data comprises the identifier of the corresponding monitoring object.
Further, the comparing the operation data with preset standard data includes:
the TOSs are two or more than two, and the operation data of the TOSs are respectively compared with the corresponding standard data.
Further, the method further comprises:
and backing up the operating data according to a preset filing strategy.
Further, the method further comprises displaying the operation data when the abnormal data is not detected.
Further, the operation data includes at least one of: business transaction information, system performance parameters, and network status.
In a second aspect, an embodiment of the present invention provides a device for monitoring operation of a wharf operating system, including:
the data acquisition module is used for acquiring running data of a wharf operating system TOS in real time;
the data processing module is used for comparing the operating data with preset standard data;
and the alarm module is used for recording the operation data as abnormal data and generating alarm information when the operation data is not in accordance with the standard data.
Further, the apparatus further comprises:
and the data archiving module is used for backing up the operating data according to a preset archiving strategy.
In a third aspect, an embodiment of the present invention provides a server, including:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the wharf operating system operation monitoring method according to the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the wharf operating system operation monitoring method according to the first aspect.
The invention discloses a wharf operating system operation monitoring method, a wharf operating system operation monitoring device, a server and a storage medium. The method comprises the following steps: acquiring running data of a wharf operating system (TOS) in real time; comparing the operating data with preset standard data; and when the operation data is not in accordance with the standard data, recording the operation data as abnormal data, and generating alarm information. By the technical scheme, the wharf operating system is monitored in real time, and the running stability of the wharf operating system is improved.
Drawings
Fig. 1 is a flowchart of a method for monitoring operation of a dock operating system according to an embodiment of the present invention;
fig. 2 is a flowchart of a dock operating system operation monitoring method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a dock operating system operation monitoring apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic diagram of a hardware structure of a server according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for monitoring operation of a dock operating system according to an embodiment of the present invention. The embodiment can be suitable for the condition of monitoring the running process of the wharf operating system in real time. Specifically, the wharf operating system operation monitoring method may be executed by a wharf operating system operation monitoring device, and the wharf operating system operation monitoring device may be implemented in a software and/or hardware manner and integrated in the server. Further, the server includes, but is not limited to: the system comprises an industrial integration server, a system background server and a cloud server.
Referring to fig. 1, the method specifically includes the following steps:
and S110, acquiring running data of the wharf operating system TOS in real time.
Specifically, by collecting the operating data of the TOS in real time, the operating condition of the TOS can be monitored in real time, and abnormal problems in the operating process can be found and early warned in time. Each client, machine room and the like in the TOS can generate a local system log file in the operation process, and the operation data of each monitored object is recorded in the system log file. The server is loosely coupled with the system log files of each TOS, so that the interaction of the running data can be realized. The operation data can be service transaction data, service statistical data (online transaction number, overtime transaction number, database connection number and the like), service error data, system performance data (CPU, memory, magnetic disc), Windows error events, network flow, network smoothness and the like in each TOS, and the operation data can be read by acquiring a system log file of the TOS in real time, analyzing the system log file and extracting characteristics of the system log file, so that the process of acquiring the operation data in real time is completed.
And S120, comparing the operation data with preset standard data.
Specifically, the standard data refers to expected values or expected states of various pieces of operating data of the monitored object, and the collected operating data is compared with the standard data to judge whether the operating state of the TOS meets the expectation or not, so that abnormal data or potential problems can be found in time. For example, for a piece of business transaction data, the preset standard data includes the occurrence time of the business transaction at each TOS, the transmission path between TOSs, and the like, and the collected operation data is compared with the preset standard data, so that whether the business transaction time of the business transaction at each TOS is overtime or not and whether the transmission path of the business transaction in each TOS is consistent with the expected path or not can be detected. For another example, for system performance data, the standard data includes data such as the memory size and the disk capacity of a certain TOS system, and the acquired operating data is compared with the data, so that whether the memory size and the disk capacity of the TOS system are consistent with the standard data can be judged, and whether the hardware environment of the TOS system is normal or not can be judged. For another example, a fixed type of system log file may be generated during normal operation of each TOS, and the collected operation data may be compared with the standard data to detect whether there is an abnormal system log file such as a Windows error event.
And S130, recording the operation data as abnormal data and generating alarm information when the operation data is not in accordance with the standard data.
Specifically, the operation data is compared with the standard data, when the operation data is detected to be inconsistent with the standard data, it is indicated that the operation state of the TOS is abnormal, for example, a business transaction is overtime, a Windows error event occurs, and the like, at this time, the acquired operation data is recorded as abnormal data, and alarm information is generated according to the abnormal data to prompt a worker that the TOS is out of order. In addition, the generated alarm information comprises the source of the abnormal data so as to clearly and specifically determine which monitoring object in the TOS has a fault, so that a worker can rapidly position a fault node, timely solve the problem and ensure the stable operation of each TOS.
Further, the real-time collection of operating data of the TOS includes:
and acquiring the operation data of each monitoring object in the TOS in real time through the log acquisition agent node, wherein the operation data comprises the identifier of the corresponding monitoring object.
Specifically, a real-time log collection Agent service node (Agent) is deployed on each monitored object in the TOS, and after the log collection Agent service is operated, a log analysis interface (logserver) configured and set by the log collection Agent service node is called regularly to collect the real-time log, and the real-time log is reported to a server through a TCP/IP network communication protocol so as to analyze the system log and process the operation data contained in the system log.
Furthermore, the same log collection proxy service node calls a plurality of log analysis interfaces to collect the logs. For example, a computer in the TOS is used as a monitoring object, a log collection agent service node is deployed on the computer, a plurality of modules for controlling different services are installed in the computer, and the log collection agent service node can respectively collect system logs of different modules by calling a plurality of log analysis interfaces, convert the system logs into standardized data with a uniform format, and return the data to the log collection agent service node. The operation of each monitoring object in the TOS is monitored more comprehensively by respectively deploying real-time log collection proxy service nodes for the client and the machine room in the TOS.
Further, the collected operation data includes an identifier of the corresponding monitored object. Specifically, when the log collection agent service node reports the collected system logs, different monitoring objects can be automatically identified, and different first Identifiers (IDs) are added to the monitoring objects, so that each system log reported to the server can correctly and uniquely identify the monitored object, and the source of the operation data is identified. When abnormal data is detected to generate alarm information, a worker can quickly position the position of a fault node according to the ID corresponding to the abnormal data, and overhaul the monitored object, so that the fault processing efficiency is improved, and the running stability of the wharf operating system is further improved.
The method for monitoring the operation of the wharf operating system provided by the embodiment comprises the following steps: acquiring running data of a wharf operating system (TOS) in real time; comparing the operating data with preset standard data; and when the operation data is not in accordance with the standard data, recording the operation data as abnormal data, and generating alarm information. Through the technical scheme, the wharf operating system is monitored in real time, abnormal data can be found in time, fault nodes can be located quickly, the fault processing efficiency is improved, and the running stability of the wharf operating system is guaranteed.
Example two
Fig. 2 is a flowchart of a wharf operating system operation monitoring method according to a second embodiment of the present invention. The embodiment is specifically optimized on the basis of the above embodiment. Specifically, referring to fig. 2, the method specifically includes the following steps:
and S210, collecting running data of the wharf operating system TOS in real time.
Specifically, the system log file acquired by the log acquisition proxy service node includes operation data, such as system performance parameters, service transaction data, network status, and the like, where the service transaction data is recorded in the service system log file. In the process of collecting system logs, besides adding an ID (identity) identifier to each monitored object, a unique second identifier (Session ID) is also added to each business transaction, and the Session ID is automatically generated by each business system when each business transaction is initiated and is in the form of a GUID (globally unique identifier). The Session ID is transmitted in each node of the service system, and the transmission path of each service transaction in each node of the whole service system can be concatenated according to the Session ID.
And S220, comparing the operation data with preset standard data.
It should be noted that technical details that are not described in detail in the present embodiment may be referred to any of the above embodiments.
And S230, recording the operation data as abnormal data and generating alarm information when the operation data is not in accordance with the standard data.
Further, the server may generate early warning information or alarm information for the business transaction data. Performing full-path log track analysis according to the collected business transaction data and the Session ID thereof, and when detecting that the transmission path of the Session ID of the business transaction deviates from the preset path track, performing early warning prompt according to a certain early warning rule to prompt a worker to confirm whether the path is reasonable as soon as possible so as to find potential problems in advance; or when the time of the Session ID reaching a certain node is overtime, the overtime times are excessive, and the path error times exceed the preset times, alarm information is generated to prompt the staff to carry out detailed check and processing on the business transaction as soon as possible
And S240, backing up the running data according to a preset filing strategy.
Specifically, the collected operation data is divided into real-time data and historical data, and the real-time data and the historical data are respectively managed according to a preset filing strategy so as to realize persistent storage of the monitoring log. Illustratively, data tables are respectively established for real-time data and historical data in a database, wherein the real-time data refers to operation data collected within a short preset time from the current time. And when the existence time of the real-time data exceeds the preset time, converting the real-time data into historical data, storing the historical data into a historical data table, and updating the newly acquired operation data into the real-time data table so as to realize backup and persistent storage of the operation data. For example, the real-time data table stores the operation data from 5 minutes ago to the current time, and the data volume of the real-time data is relatively small, so that the real-time data table can adapt to a high reading frequency and is convenient for instant query; and all the running data before 5 minutes, namely historical data, are stored in the historical data table, the data volume is large, the reading frequency is low, and the data are separately stored in the historical data table. By respectively establishing the data tables for the real-time data and the historical data, the different reading and writing requirements of the real-time data and the historical data in the operation monitoring process can be met, and the persistent storage of the operation data is realized, so that the storage and access efficiency of the operation data is improved.
It should be noted that when abnormal data is detected, alarm information is generated, and the alarm information is stored into a corresponding real-time data table or a corresponding historical data table according to whether the existence time exceeds the preset time.
Furthermore, after the running data is backed up, the expired system log files and the running data are cleaned regularly. For example, it is assumed that the cleaning is performed once a week, and the system log files and the historical data stored 15 days ago are cleaned.
Further, comparing the operating data with preset standard data includes:
the TOSs are two or more than two, and the operation data of the TOSs are respectively compared with the corresponding standard data.
Specifically, the server can monitor two or more TOSs simultaneously, and compare the operating data of the TOSs with corresponding standard data respectively by collecting and processing the system log files reported by the log collection agent nodes in real time so as to monitor the TOSs in parallel. Specifically, the server adopts a thread pool model and a parallel computing model to perform parallel processing on a large amount of collected system log data so as to improve the processing efficiency. The thread pool is a multi-thread processing form, analysis tasks of various system logs, tasks for comparing various running data with standard data and the like are added into a queue in the processing process, and then the tasks are automatically started after threads are created. The parallel computation refers to analyzing a plurality of system logs at the same time and extracting running data so as to comprehensively monitor each monitored object of each TOS and improve the processing efficiency.
S250, whether the abnormal data is detected, if not, execute step S260, and if so, execute step S270.
And S260, displaying the operation data.
Specifically, when the abnormal data is not detected, alarm information does not need to be generated, and the operation data is displayed at the moment so as to realize real-time monitoring of the operation data. The HTML5 technology and the Web UI (User Interface) technology are adopted to display the running data in a Website and network software in a cross-platform manner, the multimedia display and information access of a mobile terminal can be supported, and the 3A (Any Device, Any Place and Any Time) level running monitoring support is further realized. It should be noted that, both HTML5 and Web UI belong to the prior art, and are not described herein.
And S270, displaying the operation data and the alarm information.
Specifically, when abnormal data is detected, alarm information is generated, and at the moment, the HTML5 technology and the Web UI technology are adopted to display the operation data and the alarm information respectively, so that a worker can check the abnormal data in time and quickly position and process faults.
Furthermore, a quick dynamic webpage is created by adopting the Ajax technology to realize the real-time pushing of the operation data or the alarm information, the active query of workers is not needed, the asynchronous update of the display interface can be realized, namely the whole display interface is not needed to be reloaded, and only the operation data or the alarm information which is changed in the display interface is updated and displayed, so that the data transmission quantity of the server is reduced. In addition, the server of each TOS can be integrated by adopting Single Sign On (SSO) technology, namely, the staff only needs to log in once to access all the TOS servers with associated trust, thereby monitoring the running state of the monitoring object in each TOS in real time.
Further, the operation data includes at least one of: business transaction information, system performance parameters, and network status.
Specifically, the log of the system is collected in real time through the log proxy service, and the running data of the TOS can be obtained, wherein the running data comprises business transaction information, system performance parameters, network states and the like. Illustratively, by collecting the service transaction information, whether the service transaction of each TOS is overtime, whether the transmission path is deviated and the like can be analyzed, so that each service transaction is ensured to be correctly carried out, and stable production management is carried out; by collecting system performance parameters, whether a CPU, a memory, a magnetic disc and the like of each TOS work normally can be analyzed, and the TOS is ensured to have a good hardware environment, so that the TOS can run normally; through gathering the network state, can guarantee unobstructed, the real-time online of TOS to the monitoring process in each TOS, avoid can't monitor, lose data etc. to certain TOS. Through gathering comprehensive operating data to contrast with preset standard data, in time discover unusual data, thereby realize the real-time comprehensive control to TOS operation, provide good software and hardware environment for each TOS, guarantee the stability of TOS operation.
The operation monitoring method for the wharf operating system provided by the second embodiment of the invention is optimized on the basis of the second embodiment, and the TOS is comprehensively monitored by acquiring operation data in real time; by adding marks to the monitored object and the business transaction, the source of the operation data can be identified and the transmission path of the business transaction is tracked; by respectively storing and managing the real-time data and the historical data, the persistent storage of the monitoring logs is realized, and the data reading and writing efficiency is improved; by adopting the Web UI technology, the intelligent display of the operation data and the alarm information is realized, the abnormity can be found in time, the fault can be quickly positioned, and the operation stability of the TOS is ensured.
EXAMPLE III
Fig. 3 is a structural diagram of a dock operating system operation monitoring apparatus according to a third embodiment of the present invention. The device comprises:
the data acquisition module 310 is used for acquiring running data of a wharf operating system TOS in real time;
the data processing module 320 is used for comparing the operating data with preset standard data;
and the alarm module 330 is configured to record the operation data as abnormal data and generate alarm information when the operation data does not match the standard data.
The wharf operating system operation monitoring device provided by the fourth embodiment of the invention acquires the operation data of the wharf operating system TOS in real time through the data acquisition module; comparing the operating data with preset standard data through a data processing module; when the operation data is not consistent with the standard data, the operation data is recorded as abnormal data through the alarm module, alarm information is generated, real-time monitoring on the wharf operating system is achieved, fault processing efficiency is improved, and stability of operation of the wharf operating system is guaranteed.
On the basis of the foregoing embodiment, the data collection module 310 is specifically configured to collect, in real time, operation data of each monitoring object in the TOS through the log collection proxy node, where the operation data includes an identifier of a corresponding monitoring object.
Further, the data processing module 320 is further configured to:
the TOSs are two or more than two, and the operation data of the TOSs are respectively compared with the corresponding standard data.
Further, the data collecting module 310 includes:
the first identification module is used for adding a first identification to the monitored object;
and the second identification module is used for adding a second identification to each service system log.
Further, the apparatus further comprises:
and the data archiving module is used for backing up the operating data according to a preset archiving strategy.
Further, the apparatus further comprises:
and the display module is used for displaying the operating data when the abnormal data is not detected.
Further, the display module is further used for displaying the operation data and the alarm information when the abnormal data is detected.
Further, the operation data includes at least one of: business transaction information, system performance parameters, and network status.
The wharf operating system operation monitoring device provided by the fourth embodiment of the invention can be used for executing the wharf operating system operation monitoring method provided by any embodiment, and has corresponding functions and beneficial effects.
Example four
Fig. 4 is a schematic diagram of a hardware structure of a server according to a fourth embodiment of the present invention. As shown in fig. 4, the present embodiment provides a server, including: a processor 410 and a storage 420. The number of the processors in the server may be one or more, fig. 4 illustrates one processor 410, the processor 410 and the storage device 420 in the server may be connected by a bus or in other manners, and fig. 4 illustrates the connection by a bus.
The one or more programs are executed by the one or more processors 410, so that the one or more processors implement the wharf operating system operation monitoring method described in any of the above embodiments.
The storage device 420 in the server is used as a computer-readable storage medium for storing one or more programs, which may be software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the terminal operating system operation monitoring device in the embodiment of the present invention (for example, the modules in the terminal operating system operation monitoring device shown in fig. 3 include the data acquisition module 310, the data processing module 320, and the alarm module 330). The processor 410 executes various functional applications of the server and data processing by executing software programs, instructions and modules stored in the storage device 420, that is, the wharf operating system operation monitoring method in the above method embodiment is implemented.
The storage device 420 mainly includes a storage program area and a storage data area, wherein the storage program area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the server, etc. (operation data, alarm information, etc. as in the above-described embodiments). Further, the storage 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, storage 420 may further include memory located remotely from processor 410, which may be connected to a server over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
And, when one or more programs included in the above-described server are executed by the one or more processors 410, the programs perform the following operations:
acquiring running data of a wharf operating system (TOS) in real time;
comparing the operating data with preset standard data;
and when the operation data is not in accordance with the standard data, recording the operation data as abnormal data, and generating alarm information.
The server provided by this embodiment is the same as the method for monitoring the operation of the wharf operating system provided by the above embodiment, and the technical details that are not described in detail in this embodiment can be referred to any of the above embodiments, and this embodiment has the same beneficial effects as the method for monitoring the operation of the wharf operating system.
On the basis of the foregoing embodiments, the present embodiment further provides a computer-readable storage medium, on which a computer program is stored, the computer program, when being executed by the terminal operating system operation monitoring device, implementing the terminal operating system operation monitoring method in any of the foregoing embodiments of the present invention, the method including:
acquiring running data of a wharf operating system (TOS) in real time;
comparing the operating data with preset standard data;
and when the operation data is not in accordance with the standard data, recording the operation data as abnormal data, and generating alarm information.
Of course, the storage medium provided in the embodiments of the present invention includes computer-executable instructions, and the computer-executable instructions are not limited to the operations of the wharf operating system operation monitoring method described above, and may also perform related operations in the wharf operating system operation monitoring method provided in any embodiment of the present invention, and have corresponding functions and advantages.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, and the computer software product may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute the method for monitoring the operation of the terminal operating system according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A wharf operating system operation monitoring method is characterized by comprising the following steps:
acquiring running data of a wharf operating system (TOS) in real time;
comparing the operating data with preset standard data;
and when the operation data is not in accordance with the standard data, recording the operation data as abnormal data, and generating alarm information.
2. The method of claim 1, wherein collecting operating data for the TOS in real time comprises:
and acquiring the operation data of each monitoring object in the TOS in real time through the log acquisition agent node, wherein the operation data comprises the identifier of the corresponding monitoring object.
3. The method of claim 1, wherein comparing the operational data to pre-set standard data comprises:
the TOSs are two or more than two, and the operation data of the TOSs are respectively compared with the corresponding standard data.
4. The method of claim 1, further comprising:
and backing up the operating data according to a preset filing strategy.
5. The method of claim 1, further comprising displaying the operational data when no anomalous data is detected.
6. The method of claim 1, wherein the operational data includes at least one of: business transaction information, system performance parameters, and network status.
7. A dock operating system operation monitoring device, comprising:
the data acquisition module is used for acquiring running data of a wharf operating system TOS in real time;
the data processing module is used for comparing the operating data with preset standard data;
and the alarm module is used for recording the operation data as abnormal data and generating alarm information when the operation data is not in accordance with the standard data.
8. The apparatus of claim 7, further comprising:
and the data archiving module is used for backing up the operating data according to a preset archiving strategy.
9. A server, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the dock operating system operation monitoring method of any one of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the quay operating system operation monitoring method according to any one of claims 1 to 6.
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