CN117014291A - Abnormal node determining method, device, equipment and medium based on workflow grouping - Google Patents
Abnormal node determining method, device, equipment and medium based on workflow grouping Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a medium for determining abnormal nodes based on worksheet flow grouping. The method comprises the following steps: initial data corresponding to all the total nodes in the target system are obtained; the initial data comprises a target work order number, a target node number and a target work order state; counting the total quantity of the worksheets of all the full-quantity nodes according to the target worksheet numbers in the initial data to obtain the total quantity of the worksheets of the full-quantity nodes; and evaluating the full-quantity nodes in the target system according to the difference of the full-quantity node worksheets, and determining full-quantity abnormal nodes. By the technical scheme, the abnormal node in the target system can be positioned, and the timeliness and accuracy of system fault positioning are improved.
Description
Technical Field
The present invention relates to the field of system operation services, and in particular, to a method, an apparatus, a device, and a medium for determining an abnormal node based on a worksheet flow packet.
Background
With the development of system operation service technology, more and more core production systems need operation service to perform fault location so as to discover faults in the core production systems and perform fault repair in time.
Because of the insufficiency of the whole flow penetration capability of the work orders obtained by monitoring in the operation service, the fault root cause of the core production system is usually positioned in the prior art in a manual system-by-system check mode. However, if the fault cause is located by adopting an artificial checking mode, the time consumption is long and the efficiency is low.
Therefore, how to timely and efficiently locate the fault root cause in the core production system and improve the timeliness and accuracy of system fault location are the problems to be solved at present.
Disclosure of Invention
The invention provides a method, a device, equipment and a medium for determining abnormal nodes based on worksheet flow grouping, which can solve the problem of low system fault positioning efficiency.
According to an aspect of the present invention, there is provided a method for determining an abnormal node based on a worksheet flow packet, including:
initial data corresponding to all the total nodes in the target system are obtained; the initial data comprises a target work order number, a target node number and a target work order state;
counting the total quantity of the worksheets of all the full-quantity nodes according to the target worksheet number in the initial data to obtain the total quantity of the worksheets of the full-quantity nodes;
and evaluating the full-quantity nodes in the target system according to the difference of the full-quantity node worksheets, and determining full-quantity abnormal nodes.
According to another aspect of the present invention, there is provided an abnormal node determining apparatus based on a worksheet flow packet, including:
the data acquisition module is used for acquiring initial data corresponding to all the nodes in the target system; the initial data comprises a target work order number, a target node number and a target work order state;
the work order quantity statistics module is used for counting the total work order quantity of each full-quantity node according to the target work order number in the initial data to obtain the full-quantity node work order quantity;
and the abnormal node determining module is used for determining the total abnormal node according to the total node work order difference in the total node evaluation target system.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method for determining abnormal nodes based on workflow packets according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the abnormal node determination method based on workflow packets according to any embodiment of the present invention when executed.
According to the technical scheme, the total quantity of the work orders of all the total quantity nodes is counted according to the obtained target work order numbers in the initial data corresponding to all the total quantity nodes in the target system, so that the total quantity of the work orders of all the total quantity nodes is obtained, and further, the total quantity abnormal nodes are determined according to the total quantity nodes in the total quantity node work order difference evaluation target system, the problem of low system fault positioning efficiency is solved, the abnormal nodes in the target system can be positioned, and the timeliness and accuracy of system fault positioning are improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for determining an abnormal node based on a workflow packet according to a first embodiment of the present invention;
fig. 2 is a flowchart of a method for determining an abnormal node based on a workflow packet according to a second embodiment of the present invention;
FIG. 3 is a flowchart of an alternative abnormal node determination method based on worksheet flow grouping provided in accordance with a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an abnormal node determining apparatus based on a workflow packet according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device implementing a method for determining abnormal nodes based on workflow packets according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "target," "initial," and the like in the description and claims of the present invention and the above-described drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for determining abnormal nodes based on a workflow packet according to an embodiment of the present invention, where the method may be performed by an abnormal node determining apparatus based on a workflow packet, and the abnormal node determining apparatus based on a workflow packet may be implemented in hardware and/or software, and the abnormal node determining apparatus based on a workflow packet may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, acquiring initial data corresponding to all the nodes in the target system; the initial data comprises a target work order number, a target node number and a target work order state.
The target system may refer to a peripheral production system that needs to perform fault node localization. Illustratively, the target system may be a Background Office (BO) system, an intelligent operation and maintenance (IntelligentOperationandMaintenance, IOM) system, an open system, or the like.
The node may refer to a link of processing each work order in the target system. The initial data may refer to related data for each menu stream. The target worksheet number may refer to a worksheet number included in the worksheet stream received by each node. Typically, at least one work order number may be included in the work order stream. The target node number may refer to the node number where the target work order is currently located. The target work order status may refer to a completion status of a work order corresponding to the target work order number. The target work order state may be a completed state or an unfinished state, for example.
In an optional embodiment, before the obtaining the initial data corresponding to each full-volume node in the target system, the method may further include: when all full-quantity nodes in the target system receive the target work order flow, initial data corresponding to the target work order flow are collected through preset buried points of all full-quantity nodes.
The target worksheet flow may refer to a worksheet flow received by the target system. The preset buried point may refer to a buried point program added in advance in the total number of nodes of the target system.
Therefore, when each node in the target system receives the target work order stream, initial data can be collected through preset buried points on each node, the initial data collected in real time is packaged through a message mode and transmitted in the form of kafks message middleware, and collection of the initial data is completed, so that an effective basis is provided for subsequent operation.
And S120, counting the total quantity of the worksheets of all the full-quantity nodes according to the target worksheet number in the initial data to obtain the full-quantity node worksheets.
The total number of worksheets may refer to the number of worksheets received by each node in the target system. The full-quantity node worksheet quantity may refer to the total quantity of worksheets corresponding to all nodes in the target system. Illustratively, the full node worksheet quantity may be counted in a tabular form. Specifically, the total node worksheet amount may include a node number corresponding to the total node in the target system and the total worksheet amount included in the node.
S130, evaluating the full-quantity nodes in the target system according to the difference of the full-quantity node worksheets, and determining full-quantity abnormal nodes.
The variability evaluation may refer to evaluating the variability between a target node and other nodes in a target system. An abnormal node may refer to a node in the target system that has a fault abnormality. The total number of abnormal nodes may refer to all nodes in the target system that have fault anomalies.
In an optional embodiment, after the determining the total abnormal node according to the total node work order difference in the total node in the target system, the method further includes: and generating abnormal early warning information according to the total quantity difference nodes, and carrying out visual display by combining the total quantity node worksheets.
The abnormal early warning information may refer to early warning prompt information. For example, the anomaly early warning information may include a node number of the anomaly node, a work order status of each work order on the anomaly node, and the like.
Notably, in embodiments of the present invention, the visual display may be implemented by generating a visual large screen. Specifically, after the full-quantity abnormal nodes in the target system are obtained through positioning, abnormal early warning information can be generated according to the related information of the full-quantity abnormal nodes, the full-quantity node work order quantity is called at regular time, and the full-quantity node work order quantity and the abnormal early warning information are displayed in a visual mode. Therefore, the total node work order quantity and the abnormal early warning information can be displayed in real time, and the system maintenance work can be conveniently realized.
According to the technical scheme, the total quantity of the work orders of all the total quantity nodes is counted according to the obtained target work order numbers in the initial data corresponding to all the total quantity nodes in the target system, so that the total quantity of the work orders of all the total quantity nodes is obtained, and further, the total quantity abnormal nodes are determined according to the total quantity nodes in the total quantity node work order difference evaluation target system, the problem of low system fault positioning efficiency is solved, the abnormal nodes in the target system can be positioned, and the timeliness and accuracy of system fault positioning are improved.
Example two
Fig. 2 is a flowchart of a method for determining abnormal nodes based on workflow grouping according to a second embodiment of the present invention, where the method is based on the foregoing embodiment, and in this embodiment, the operation of counting the total number of worksheets of all the total nodes according to a target worksheet number in the initial data to obtain the total number of worksheets of all the nodes is specifically refined, and may specifically include: and acquiring initial data in a set time period, and counting the total quantity of worksheets of all the full-quantity nodes according to target worksheets in the initial data to obtain the total quantity of the worksheets of the full-quantity nodes. As shown in fig. 2, the method includes:
s210, acquiring initial data corresponding to all total nodes in a target system; the initial data comprises a target work order number, a target node number and a target work order state.
Specifically, when each full-quantity node in the target system receives the target work order flow, initial data corresponding to the target work order flow on each full-quantity node is obtained.
S220, acquiring initial data in a set time period, and counting the total quantity of the worksheets of all the full-quantity nodes according to the target worksheets in the initial data to obtain the full-quantity node worksheets.
The set time period may refer to a preset data processing time period. For example, the set time period may be one minute.
Specifically, for each node of the target system, initial data in a set time period can be obtained respectively, and then, the total quantity of worksheets of the current node is counted by using the target worksheets in the initial data, and finally, the total quantity of worksheets corresponding to the total quantity of nodes is counted, so that the total quantity of the worksheets of the total quantity of nodes is obtained.
In an optional implementation manner, obtaining initial data in a set time period, and counting the total number of worksheets of all the full-scale nodes according to a target worksheet number in the initial data to obtain the full-scale node worksheet number, which may include: acquiring target initial data received by a target node in a set time period and historical statistical data corresponding to a target system; updating the historical statistical data according to the target work order number in the target initial data to obtain current statistical data; and carrying out work order quantity summarization on the current statistical data corresponding to the full-quantity target nodes to obtain the full-quantity node work order quantity.
The target initial data may refer to initial data corresponding to a target work order on a target node. The historical statistics may refer to statistics corresponding to the target system at historical time instants. By way of example, the historical statistics may include the work order numbers received by the respective target nodes at the time of the history, the work order status, and the like. The current statistics may refer to statistics corresponding to the target system at the current time.
In an alternative embodiment, updating the historical statistics according to the target worksheet number in the target initial data to obtain the current statistics may include: and if the historical statistical data comprises the target work order number, updating the historical statistical data according to the target node number and the target work order state in the target initial data to obtain the current statistical data.
Specifically, a timing task component can be introduced to acquire target initial data received by a target node in a set time period at fixed time, whether a work order number matched with a target work order number in the target initial data exists or not is inquired in historical statistical data corresponding to a target system, if so, the node number, the work order state and the like in the corresponding historical statistical data are updated by utilizing the target initial data containing the target work order number to obtain current statistical data, and then the work order quantity on the same node number is summarized, so that the total number of node work order quantity after coverage update can be obtained, and real-time statistics of the work amount of the nodes on each node is ensured.
It should be noted that, in the embodiment of the present invention, the full-volume node worksheets may be put into a remote data service (Redis) cache, and meanwhile, the full-volume node worksheets may be asynchronously and synchronously stored into a database as a data backup storage.
S230, acquiring a target work order quantity corresponding to a target node in the full-quantity node work order quantity and an associated work order quantity corresponding to an associated node with an associated relation with the target node.
The target work order quantity may refer to the total work order quantity corresponding to the target node in the target system. The association node may refer to a node having an association relationship with the target node. Illustratively, the node may be a preceding position node of the target node or a subsequent position node of the target node. The associated worksheet amount may refer to the total amount of worksheets corresponding to the associated nodes in the target system.
S240, calculating the difference between the target work order quantity and the associated work order quantity.
Wherein, the difference amount may refer to a deviation value between the target work order amount and the associated work order amount.
Illustratively, the amount of difference between the target work order amount and the associated work order amount may be calculated by the following formula: difference amount= (associated work order amount-target work order amount)/associated work order amount.
S250, if the difference quantity meets a set threshold value, determining the target node as an abnormal node.
The set threshold may be a value set in advance for evaluating the difference amount. By way of example, the set threshold may be set to ±5%.
It should be noted that, in the embodiment of the present invention, in order to ensure the accuracy of the final result, both the preceding position node of the target node and the subsequent position node of the target node may be used as the associated nodes of the target node. And determining the target node as an abnormal node when the difference between the target work order quantity of the target node and the associated work order quantity of the preceding position node meets a set threshold or the difference between the target work order quantity of the target node and the associated work order quantity of the subsequent position node meets the set threshold.
S260, obtaining the abnormal nodes corresponding to the full-scale target nodes as the full-scale abnormal nodes corresponding to the target system.
Specifically, after the abnormality determination is performed on each node, all the abnormal nodes can be counted and used as the total abnormal nodes corresponding to the target system, so that the fault location of the abnormal nodes in the target system is completed.
According to the technical scheme, the total quantity of the work orders of all the full quantity nodes is counted according to the target work order numbers in the initial data corresponding to all the full quantity nodes in the target system, which are acquired in a set time period, so that the full quantity node work order quantity is obtained, further, the target work order quantity corresponding to the target node in the full quantity node work order quantity and the associated work order quantity corresponding to the associated node with the association relation between the target node are acquired, the difference between the target work order quantity and the associated work order quantity is calculated according to the difference, if the difference meets the set threshold, the target node is determined to be an abnormal node, and finally, the abnormal node corresponding to the full quantity target node is acquired and is used as the full quantity abnormal node corresponding to the target system, so that the problem of low system fault positioning efficiency is solved, the abnormal node in the target system can be positioned, and the timeliness and the accuracy of system fault positioning are improved.
Fig. 3 is a flowchart of an alternative abnormal node determining method based on a workflow packet according to the second embodiment of the present invention. Specifically, first, initial data corresponding to all the nodes in a target system such as a background management system, an intelligent operation and maintenance system or a service system are acquired and transmitted in the form of message middleware, and then, the total quantity of the work orders of all the nodes is counted according to target work order numbers in the initial data at a production flow visualization server to obtain the total quantity of the work orders of all the nodes, the total quantity of the work orders of the nodes is stored in a database, and the total quantity of the nodes in the target system is evaluated according to the difference of the work orders of the total quantity of the nodes, so that the total quantity of abnormal nodes is determined. And finally, generating abnormal early warning information according to the total quantity difference nodes, and carrying out visual display in a visual large screen by combining the total quantity node work order quantity. The production flow visualization server may be a processor.
Example III
Fig. 4 is a schematic structural diagram of an abnormal node determining apparatus based on a workflow packet according to a third embodiment of the present invention. As shown in fig. 4, the apparatus includes: a data acquisition module 310, a work order quantity statistics module 320, and an abnormal node determination module 330;
the data acquisition module 310 is configured to acquire initial data corresponding to all nodes in the target system; the initial data comprises a target work order number, a target node number and a target work order state;
the job ticket amount statistics module 320 is configured to count the total amount of job ticket of each full-amount node according to the target job ticket number in the initial data, so as to obtain a full-amount node job ticket amount;
the abnormal node determining module 330 is configured to determine a total abnormal node according to the total node workload difference in the target system.
According to the technical scheme, the total quantity of the work orders of all the total quantity nodes is counted according to the obtained target work order numbers in the initial data corresponding to all the total quantity nodes in the target system, so that the total quantity of the work orders of all the total quantity nodes is obtained, and further, the total quantity abnormal nodes are determined according to the total quantity nodes in the total quantity node work order difference evaluation target system, the problem of low system fault positioning efficiency is solved, the abnormal nodes in the target system can be positioned, and the timeliness and accuracy of system fault positioning are improved.
Optionally, the abnormal node determining device based on the workflow packet may further include: and the data acquisition module is used for acquiring initial data corresponding to the target work order flow through the preset buried points of all the full-quantity nodes when all the full-quantity nodes in the target system receive the target work order flow before acquiring the initial data corresponding to all the full-quantity nodes in the target system.
Alternatively, the job ticket quantity statistics module 320 may specifically include: the work order quantity statistics unit is used for acquiring initial data in a set time period, and counting the total work order quantity of all the total nodes according to the target work order number in the initial data to obtain the total node work order quantity.
Optionally, the work order quantity statistics unit may specifically include: the system comprises a data acquisition subunit, a data statistics subunit and a work order quantity statistics subunit;
the data acquisition subunit is used for acquiring target initial data received by the target node in a set time period and historical statistical data corresponding to a target system;
the data statistics subunit is used for updating the historical statistics data according to the target work order number in the target initial data to obtain current statistics data;
and the work order quantity statistics subunit is used for carrying out work order quantity summarization on the current statistical data corresponding to the full-quantity target node to obtain the full-quantity node work order quantity.
Optionally, the data statistics subunit may specifically be configured to: and if the historical statistical data comprises the target work order number, updating the historical statistical data according to the target node number and the target work order state in the target initial data to obtain the current statistical data.
Alternatively, the abnormal node determination module 330 may specifically be configured to:
acquiring a target work order quantity corresponding to a target node in the total node work order quantity and an associated work order quantity corresponding to an associated node with an associated relation with the target node;
calculating the difference between the target work order quantity and the associated work order quantity;
if the difference quantity meets a set threshold value, determining the target node as an abnormal node;
and acquiring the abnormal nodes corresponding to the full-scale target nodes as the full-scale abnormal nodes corresponding to the target system.
Optionally, the abnormal node determining device based on the workflow packet may further include: and the visual display module is used for generating abnormal early warning information according to the total node difference node after the total node in the target system is evaluated according to the total node work order difference and determining the total abnormal node, and carrying out visual display by combining the total node work order.
The abnormal node determining device based on the workflow packet provided by the embodiment of the invention can execute the abnormal node determining method based on the workflow packet provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 5 shows a schematic diagram of an electronic device 410 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 410 includes at least one processor 420, and a memory, such as a Read Only Memory (ROM) 430, a Random Access Memory (RAM) 440, etc., communicatively coupled to the at least one processor 420, wherein the memory stores computer programs executable by the at least one processor, and the processor 420 may perform various suitable actions and processes according to the computer programs stored in the Read Only Memory (ROM) 430 or the computer programs loaded from the storage unit 490 into the Random Access Memory (RAM) 440. In RAM440, various programs and data required for the operation of electronic device 410 may also be stored. The processor 420, ROM430, and RAM440 are connected to each other by a bus 450. An input/output (I/O) interface 460 is also connected to bus 450.
Various components in the electronic device 410 are connected to the I/O interface 460, including: an input unit 470 such as a keyboard, a mouse, etc.; an output unit 480 such as various types of displays, speakers, and the like; a storage unit 490, such as a magnetic disk, an optical disk, or the like; and a communication unit 4100, such as a network card, modem, wireless communication transceiver, etc. The communication unit 4100 allows the electronic device 410 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunications networks.
Processor 420 may be a variety of general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of processor 420 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 420 performs the various methods and processes described above, such as the abnormal node determination method based on the worksheet flow packet.
The method comprises the following steps:
initial data corresponding to all the total nodes in the target system are obtained; the initial data comprises a target work order number, a target node number and a target work order state;
counting the total quantity of the worksheets of all the full-quantity nodes according to the target worksheet number in the initial data to obtain the total quantity of the worksheets of the full-quantity nodes;
and evaluating the full-quantity nodes in the target system according to the difference of the full-quantity node worksheets, and determining full-quantity abnormal nodes.
In some embodiments, the worker-flow-grouping-based abnormal node determination method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 490. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 410 via the ROM430 and/or the communication unit 4100. When the computer program is loaded into RAM440 and executed by processor 420, one or more steps of the method of determining abnormal nodes based on worksheet flow packets described above may be performed. Alternatively, in other embodiments, processor 420 may be configured to perform the worker-flow packet-based abnormal node determination method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. An abnormal node determining method based on a workflow packet, comprising:
initial data corresponding to all the total nodes in the target system are obtained; the initial data comprises a target work order number, a target node number and a target work order state;
counting the total quantity of the worksheets of all the full-quantity nodes according to the target worksheet number in the initial data to obtain the total quantity of the worksheets of the full-quantity nodes;
and evaluating the full-quantity nodes in the target system according to the difference of the full-quantity node worksheets, and determining full-quantity abnormal nodes.
2. The method of claim 1, further comprising, prior to the obtaining the initial data corresponding to each full-scale node in the target system:
when all full-quantity nodes in the target system receive the target work order flow, initial data corresponding to the target work order flow are collected through preset buried points of all full-quantity nodes.
3. The method of claim 1, wherein the counting the total number of the worksheets of the full-size nodes according to the target worksheets in the initial data to obtain the full-size node worksheets comprises:
and acquiring initial data in a set time period, and counting the total quantity of worksheets of all the full-quantity nodes according to target worksheets in the initial data to obtain the total quantity of the worksheets of the full-quantity nodes.
4. The method of claim 3, wherein the obtaining initial data in a set time period, and counting the total number of the worksheets of the full nodes according to the target worksheets in the initial data, to obtain the full node worksheets comprises:
acquiring target initial data received by a target node in a set time period and historical statistical data corresponding to a target system;
updating the historical statistical data according to the target work order number in the target initial data to obtain current statistical data;
and carrying out work order quantity summarization on the current statistical data corresponding to the full-quantity target nodes to obtain the full-quantity node work order quantity.
5. The method of claim 4, wherein updating the historical statistics based on the target worksheet number in the target initial data to obtain current statistics comprises:
and if the historical statistical data comprises the target work order number, updating the historical statistical data according to the target node number and the target work order state in the target initial data to obtain the current statistical data.
6. The method of claim 1, wherein said evaluating the full-scale nodes in the target system based on the full-scale node worksheet differences, determining full-scale outlier nodes, comprises:
acquiring a target work order quantity corresponding to a target node in the total node work order quantity and an associated work order quantity corresponding to an associated node with an associated relation with the target node;
calculating the difference between the target work order quantity and the associated work order quantity;
if the difference quantity meets a set threshold value, determining the target node as an abnormal node;
and acquiring the abnormal nodes corresponding to the full-scale target nodes as the full-scale abnormal nodes corresponding to the target system.
7. The method of claim 1, further comprising, after said determining a full-scale outlier node in said assessment target system based on said full-scale node worksheet differences:
and generating abnormal early warning information according to the total quantity difference nodes, and carrying out visual display by combining the total quantity node worksheets.
8. An abnormal node determining apparatus based on a workflow packet, comprising:
the data acquisition module is used for acquiring initial data corresponding to all the nodes in the target system; the initial data comprises a target work order number, a target node number and a target work order state;
the work order quantity statistics module is used for counting the total work order quantity of each full-quantity node according to the target work order number in the initial data to obtain the full-quantity node work order quantity;
and the abnormal node determining module is used for determining the total abnormal node according to the total node work order difference in the total node evaluation target system.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the worker single flow packet based abnormal node determination method of any of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to implement the method for determining abnormal nodes based on workflow packets of any one of claims 1-7 when executed.
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