CN111898899A - Flow management and control method, device and system for automatically triggering workflow and storage medium - Google Patents

Flow management and control method, device and system for automatically triggering workflow and storage medium Download PDF

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CN111898899A
CN111898899A CN202010726391.0A CN202010726391A CN111898899A CN 111898899 A CN111898899 A CN 111898899A CN 202010726391 A CN202010726391 A CN 202010726391A CN 111898899 A CN111898899 A CN 111898899A
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workflow
value
triggering
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flow
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董彬超
王葛平
李志鹏
谢炜炜
方青慧
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Jiangsu Ruichuang Software Technology Co ltd
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Abstract

The application relates to a method, a device, a system and a storage medium for flow management and control of automatic trigger workflow, which relate to the field of flow management and comprise the following steps: designing a work flow suitable for automatic triggering, and setting the flow direction of the work flow; setting a trigger event for automatically triggering the workflow, and establishing a relationship between the trigger events of different workflows and the corresponding workflows; managing the workflow for different triggering events; when the trigger event occurs, automatically starting a corresponding work flow; and driving the workflow to correspond to the flow of the workflow. The method and the device have the effect of timely notifying the processor when an emergency occurs.

Description

Flow management and control method, device and system for automatically triggering workflow and storage medium
Technical Field
The present application relates to the field of process management, and in particular, to a method, an apparatus, a system, and a storage medium for managing and controlling a process of automatically triggering a workflow.
Background
Currently, an asset tag is a device for identifying and managing physical assets, and is used for performing full-life cycle management on the physical assets, virtual assets or application assets.
The Chinese patent with the publication number of CN209216156U in the related technology discloses an intelligent digital IT asset management system, which has the technical scheme that the intelligent digital IT asset management system comprises a host and a plurality of labels, wherein the host comprises a shell, the shell consists of an upper shell and a lower shell, a CPU chip and an induction piece are arranged in the shell, the CPU chip is electrically connected with the induction piece, the labels comprise signal sources matched with the induction piece, a data board is arranged in the shell, and the CPU chip and the induction piece are respectively arranged on two sides of the data board; the intelligent digital IT asset management system has the advantages that the space occupied by the data board is greatly reduced, so that the volume of the host computer is reduced, and the host computer is conveniently placed in a cabinet.
In view of the above-mentioned related art, the inventor believes that there is a defect that when an event occurs in the management system and needs to be processed, a manager needs to manually bring up a workflow and then transfer the workflow to a corresponding processing staff, so that the event cannot be notified to the corresponding processing staff in the first time.
Disclosure of Invention
In order to solve the problem that the workflow proposes timeliness, the application provides a method, a device, a system and a storage medium for automatically triggering the workflow process management and control.
In a first aspect, the present application provides a method for managing and controlling a process of automatically triggering a workflow, which adopts the following technical scheme:
a flow management and control method for automatically triggering workflows comprises the following steps:
designing a work flow suitable for automatic triggering, and setting the flow direction of the work flow;
setting a trigger event for automatically triggering the workflow, and establishing a relationship between the trigger events of different workflows and the corresponding workflows;
managing the workflow for different triggering events;
when the trigger event occurs, automatically starting a corresponding work flow; and the number of the first and second groups,
and driving the workflow to correspond to the flow of the workflow.
By adopting the technical scheme, the work flow capable of being automatically triggered is designed in advance, then the triggering event for triggering the corresponding work flow is set, and the triggering event is linked with the corresponding work flow, so that the system can automatically start the work flow when the triggering event occurs according to the linkage; because the triggering conditions of each triggering event are different and the parameters required to be acquired are also different, the workflow needs to be managed and set, so that the system can automatically start the workflow and acquire corresponding data, and then the workflow engine drives the workflow to turn to corresponding processing personnel according to the flow direction of the preset workflow, so that the processing personnel can be automatically notified when the management system has an event, and the timeliness of problem handling is ensured.
Preferably, the triggering event for automatically triggering the workflow includes: a threshold alarm event, an IP change event, a risk alarm event, and an asset alarm event;
triggering an alarm when the IP address changes in the IP change event; triggering an alarm when the risk alarm event is a risk; and the asset alarm event is an alarm triggered when the asset state changes.
By adopting the technical scheme, the alarm event is triggered when the detection value exceeds the threshold value, the IP address or the number is changed, the risk is generated or the asset state is changed through the threshold value alarm event, the IP change event, the risk alarm event and the asset alarm event, so that the management system is monitored from various aspects, and the alarm warning is given in time when the alarm event occurs.
Preferably, the threshold alarm event includes the following steps:
presetting a standard threshold value of an alarm;
detecting the utilization rates of the CPU, the memory and the storage space of the virtual assets and the physical assets and outputting a detection value; and the number of the first and second groups,
triggering a threshold alarm event when the detection value exceeds the criterion threshold.
By adopting the technical scheme, the standard threshold value of the alarm is set in advance, the read detection value is compared with the standard threshold value through the system, and the alarm event is triggered when the detection value exceeds the standard threshold value, so that the utilization rate of a CPU (central processing unit), a memory and a storage space of the virtual asset or the physical asset can be monitored.
Preferably, the threshold alarm event further comprises the following steps:
and analyzing the detection value based on big data analysis to obtain a reference threshold value, and replacing the standard threshold value with the reference threshold value as a comparison standard.
By adopting the technical scheme, the read detection value is analyzed based on the big data so as to obtain the reference threshold and replace the standard threshold, thereby realizing the dynamic change of the reference threshold; because the utilization rates of the CPU, the memory and the storage space of the virtual assets and the physical assets can change according to the change of the use environment for a period of time, the reference threshold value which is dynamically changed according to the detection value is more consistent with the current dynamic environment, and the given alarm is more consistent with the actual operation state of the virtual assets and the physical assets.
Preferably, the analyzing the detection values based on big data analysis and deriving a reference threshold value, and replacing the standard threshold value with the reference threshold value as the comparison criterion comprises the following sub-steps:
setting statistical time, and performing statistics on all detection values within the statistical time;
storing all detection values;
drawing a change curve of the detection value by taking the statistical time and the detection value as coordinate axes; and the number of the first and second groups,
taking 80% of discrete points of the detection values on the coordinate axis where the detection values are located as a standard range, and taking the lowest value of the detection values exceeding the standard range as an alarm value; and selecting the highest value in the standard range as a standard value, and taking the average value of the alarm value and the standard value as a reference threshold value.
By adopting the technical scheme, the statistical time is set as the sample capacity, and the detection value is stored so as to be convenient for reserving historical data; then, the change trend of the detection value can be well analyzed by drawing a change curve by taking the statistical time and the detection value as coordinate axes; the method has the advantages that the selection of the discrete points which are above the coordinate axis of the statistical time and are 80% of the positive change direction of the detection value can comprehensively cover most of the operation parameters of the virtual assets and the physical assets in the statistical time, so that the stable operation state of the internal virtual assets and the physical assets is covered under the condition of large probability, the operation state of the virtual assets and the physical assets in the statistical time can be determined, and faults can occur when the operation state is exceeded, so that the internal virtual assets and the physical assets can be reminded in time when the faults occur.
Preferably, the step of storing all the detection values comprises the following steps:
storing the detection values into a database in a queue mode;
updating the detection values in the database every day; and the number of the first and second groups,
and calculating a reference threshold value after the detection value is updated.
By adopting the technical scheme, the detection values are stored in the database in a queue storage mode through first-in first-out logic and are updated every day, so that the detection values in the database are all latest data, the real-time performance of the detection values in the database can be ensured, and the calculated reference threshold value can be in line with the working states of the current internal virtual assets and physical assets and can be updated in real time along with time.
Preferably, when the corresponding trigger event occurs, automatically starting the workflow includes the following steps:
automatically starting a workflow corresponding to the trigger event;
reading a form value needing to be input in the form of the workflow; and the number of the first and second groups,
and automatically assigning the form value to a corresponding workflow form.
By adopting the technical scheme, the detection value exceeding the standard threshold value is required to be reminded in the working process, and the specific numerical value of the detection value is required to be notified to a processor; and the form value of the workflow to be input is read in advance through the automatic assignment component, and then the form value is automatically assigned to the form of the workflow, so that the detection value and other numerical values are automatically acquired and transmitted to a processor along with the workflow, and the processor can conveniently master the result.
In a second aspect, the present application provides a flow management and control apparatus for automatically triggering a workflow, which adopts the following technical solution:
the utility model provides an automatic flow management and control device of trigger workflow which characterized in that: the method comprises the following steps:
the work flow design module is used for designing a work flow suitable for automatic triggering and setting the flow direction of the work flow;
the workflow management module is used for setting a trigger event for automatically triggering the workflow and establishing a relationship between the trigger events of different workflows and the corresponding workflows;
the trigger event management module is used for managing the workflow aiming at different trigger events;
the workflow starting module is used for automatically starting the corresponding workflow when the triggering event occurs;
the workflow engine is used for driving the workflow to correspond to the processing personnel in the flow direction of the workflow;
a threshold calculation module for calculating a reference threshold according to the detection value; and the number of the first and second groups,
and the storage module is used for storing all the test values.
By adopting the technical scheme, the workflow corresponding to the initial trigger event is designed through the workflow design module and the workflow management module, and is managed according to actual requirements; modifying and managing parameters of the trigger event through a trigger event management module and driving a workflow to flow through a workflow engine; on the other hand, the storage module stores the detected value, and the threshold calculation module calculates the reference threshold according to the detected value stored in the storage device, so that a dynamic threshold can be provided for judging the detected value, and the accuracy of judging the detected value is improved.
In a third aspect, the present application provides a flow management and control system for automatically triggering a workflow, which adopts the following technical scheme:
the utility model provides a flow management and control system of automatic trigger workflow which characterized in that: comprising a memory and a processor, said memory having stored thereon a computer program which can be loaded by the processor and which performs the method of any of claims 1 to 7.
By adopting the technical scheme, the work flow capable of being automatically triggered is designed in advance, then the triggering event for triggering the corresponding work flow is set, and the triggering event is linked with the corresponding work flow, so that the system can automatically start the work flow when the triggering event occurs according to the linkage; because the triggering conditions of each triggering event are different and the parameters required to be acquired are also different, the workflow needs to be managed and set, so that the system can automatically start the workflow and acquire corresponding data, and then the workflow engine drives the workflow to turn to corresponding processing personnel according to the flow direction of the preset workflow, so that the processing personnel can be automatically notified when the management system has an event, and the timeliness of problem handling is ensured.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 7.
By adopting the technical scheme, the work flow capable of being automatically triggered is designed in advance, then the triggering event for triggering the corresponding work flow is set, and the triggering event is linked with the corresponding work flow, so that the system can automatically start the work flow when the triggering event occurs according to the linkage; because the triggering conditions of each triggering event are different and the parameters required to be acquired are also different, the workflow needs to be managed and set, so that the system can automatically start the workflow and acquire corresponding data, and then the workflow engine drives the workflow to turn to corresponding processing personnel according to the flow direction of the preset workflow, so that the processing personnel can be automatically notified when the management system has an event, and the timeliness of problem handling is ensured.
In summary, the present application includes at least one of the following beneficial technical effects:
1. by designing a work flow and a corresponding trigger event and automatically starting the work flow when the trigger event occurs, the effect of timely reminding a processor when an emergency occurs is achieved;
2. the technology of calculating the dynamic threshold value according to the detection value is adopted, so that the obtained threshold value is more in line with the working environment of the virtual asset and the physical asset;
3. the method adopts a queue mode to store and update the detection value every day, thereby generating the effect of improving the real-time performance of the detection value.
Drawings
Fig. 1 is a flow block diagram of a flow management and control method for automatically triggering a workflow in an embodiment of the present application;
FIG. 2 is a block diagram of the flow of step S200 in the embodiment of the present application;
FIG. 3 is a block diagram of the flow of step S240 in the embodiment of the present application;
FIG. 4 is a block diagram of the flow of step S242 in the embodiment of the present application;
FIG. 5 is a block diagram of the flow of step S400 in the embodiment of the present application;
fig. 6 is a schematic structural diagram of a flow control apparatus for automatically triggering a workflow in an embodiment of the present application.
Description of reference numerals: 1. a workflow design module; 2. a workflow management module; 3. a trigger event management module; 4. a workflow starting module; 5. a workflow engine; 6. a threshold calculation module; 7. and a storage module.
Detailed Description
The present application is described in further detail below with reference to figures 1-6.
The embodiment of the application discloses a flow control method for automatically triggering workflows, and referring to fig. 1, the flow control method for automatically triggering workflows comprises the following steps:
s100, designing a work flow suitable for automatic triggering, and setting the flow direction of the work flow;
each process node of the workflow is designed through the workflow management system, a starter of the starting node is set to be available to the system, and forms used for inputting data in the starting node are associated, so that automatic assignment is facilitated when the workflow is lifted.
S200, setting triggering events for automatically triggering the working flows, and establishing a relation between the triggering events of different working flows and the corresponding working flows;
triggering events that automatically trigger a workflow include: threshold alarm events, IP change events, risk alarm events, and asset alarm events, each alarm event having a workflow corresponding thereto. When any one of the trigger events occurs, the system automatically starts the workflow corresponding to the trigger event. Wherein, the IP change event is triggering alarm when the IP address changes; triggering an alarm when the risk alarm event is a risk; the asset alarm event is that an alarm is triggered when the asset state changes.
Referring to fig. 2, the threshold alarm event is that an alarm is triggered when the detection value exceeds a set standard threshold, and includes the following steps:
s210, presetting a standard threshold of an alarm;
the initial standard threshold is set empirically by the manager and is typically set to 80% of the maximum value.
S220, detecting the utilization rates of CPUs (central processing units), memories and storage spaces of the virtual assets and the physical assets and outputting detection values;
the CPU, memory and memory space of the virtual asset are typically read in an interface docking or SDK packet manner, while the CPU, memory and memory space of the physical asset are typically read in an SNMP protocol.
S230, triggering a threshold alarm event when the detection value exceeds a standard threshold;
the system compares the obtained detection value with a standard threshold value, and triggers a threshold value alarm event when the detection value exceeds the standard threshold value, thereby timely informing a processor to process in time.
S240, analyzing the detection value based on big data analysis to obtain a reference threshold value, and replacing the standard threshold value with the reference threshold value to serve as a comparison standard;
the big data analysis analyzes the detection value to obtain a reference threshold value, so that the standard threshold value dynamically changes, the reference threshold value can be modified according to the working environment of the virtual asset or the physical asset, and the value of the reference threshold value is more accurate.
Referring to fig. 3, the method specifically includes the following substeps:
s241, setting statistical time, and performing statistics on all detection values within the statistical time;
the statistical time is the number of samples, and the next operation is carried out after the statistical number reaches the statistical time by setting the statistical time; when the statistical quantity does not reach the statistical time, the standard threshold is used all the time, i.e. the reference threshold is calculated when the sample quantity reaches the analysis quantity.
S242, storing all detection values; the detection values are stored in a database, thereby facilitating subsequent calls to past detection values, and enabling the calculation of the reference threshold to be inherited and to enrich the sample number.
Referring to fig. 4, the method specifically includes:
s242a, storing the detection values into a database in a queue mode;
the queue mode adopts a first-in first-out mode and stores the data according to the time sequence; the statistical time is slipped over the queue in chronological order.
S242b, updating the detection values in the database every day;
after the detection values of the current day are stored in the database, the statistical time is shifted up by one day, so that the detection values in the latest time are selected in the statistical time frame, and the reference threshold value calculated by the detection values is closer to the current environment.
S242c, calculating a reference threshold value after the detection value is updated; the reference threshold value is recalculated based on all new detection value data in the statistical time after the completion of the daily detection value data update.
Referring to fig. 3, S243, drawing a variation curve of the detection values with the statistical time and the detection values as coordinate axes;
and drawing a change curve of the detection value by taking the statistical time as an X axis and the detection value as a Y axis, and obtaining the trend of the detection value along with the statistical time from the change curve.
S244, taking 80% of detection value discrete points along the coordinate axis where the detection values are located as a standard range, and taking the lowest value of the detection values exceeding the standard range as an alarm value; and selecting the highest value in the standard range as a standard value, and taking the average value of the alarm value and the standard value as a reference threshold value.
The detection value discrete points which are more than the X axis and change by 80% in the positive direction of the Y axis are selected as the standard range, the highest point of the standard range is selected as the discrete point, so that the value is possibly slightly lower, and the lowest value of the detection values which exceed the standard range is selected as the lowest value, so that the average value of the two values is more accurate.
Referring to fig. 1, S300, managing workflows for different trigger events;
different processing personnel are required to be selected according to different trigger events; different trigger events, different data to be input and different types of data are required, so that different forms and different form types are required to be set.
S400, when a corresponding trigger event occurs, automatically starting a corresponding working process;
when the corresponding trigger event occurs, the system is used as an initiator to automatically start the workflow corresponding to the trigger event. Referring to fig. 5, the method specifically includes:
s410, automatically starting a working process corresponding to the trigger event;
the system automatically selects the workflow corresponding to the current trigger event according to the corresponding relation between the trigger event and the workflow, and initiates the workflow by taking the system as an initiator in the starting node.
S420, reading a form value needing to be input in the form of the workflow;
because the form needing to input the parameters is set in the workflow, the system reads the parameter values of the input form according to the parameters related to the form, and the reading mode comprises an interface docking mode or an SDK packet reading mode.
S430, automatically assigning the form value to a corresponding workflow form;
because the form is automatically associated with the corresponding parameter value, the read parameter value is directly assigned to the form by the system, so that the completeness of the workflow initiating node is ensured, and the conditions for flowing to the next workflow node are met.
Referring to fig. 1, S500, the workflow is driven to correspond to the flow of the workflow.
And the workflow engine drives the workflow to flow among different nodes, and the workflow nodes flow the workflow nodes to the processing personnel for notification and processing according to the flow direction of the predefined workflow and the corresponding identity of the processor and the personal information corresponding to the identity of the processor.
Referring to fig. 6, based on the same inventive concept, an embodiment of the present application discloses a flow control device for automatically triggering a workflow, including:
the work flow design module 1 is used for designing a work flow suitable for automatic triggering and setting the flow direction of the work flow;
the workflow management module 2 is used for setting triggering events for automatically triggering workflows and establishing the relation between the triggering events of different workflows and corresponding workflows;
the trigger event management module 3 is used for managing the workflow aiming at different trigger events;
the workflow starting module 4 is used for automatically starting the corresponding workflow when a triggering event occurs;
the workflow engine 5 is used for driving the workflow to correspond to the processing personnel in the workflow flow direction;
a threshold calculation module 6 for calculating a reference threshold according to the detection value; and the number of the first and second groups,
and the storage module 7 is used for storing all the test values.
Based on the same inventive concept, the embodiment of the present application discloses a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing any one of the methods of the above steps S100-S500.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Based on the same inventive concept, the embodiment of the present application further discloses a flow management and control system for automatically triggering a workflow, which includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the methods of the steps S100 to S500.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.

Claims (10)

1. A flow management and control method for automatically triggering workflows is characterized by comprising the following steps: comprises the following steps:
designing a work flow suitable for automatic triggering, and setting the flow direction of the work flow;
setting a trigger event for automatically triggering the workflow, and establishing a relationship between the trigger events of different workflows and the corresponding workflows;
managing the workflow for different triggering events;
when a corresponding trigger event occurs, automatically starting the working process; and the number of the first and second groups,
and driving the workflow to correspond to the flow of the workflow.
2. The method for flow management and control of an auto-triggered workflow according to claim 1, wherein: the triggering event that automatically triggers the workflow comprises: a threshold alarm event, an IP change event, a risk alarm event, and an asset alarm event;
triggering an alarm when the IP address changes in the IP change event; triggering an alarm when the risk alarm event is a risk; and the asset alarm event is an alarm triggered when the asset state changes.
3. The flow control method for automatically triggering workflow according to claim 2, wherein: the threshold alarm event comprises the following steps:
presetting a standard threshold value of an alarm;
detecting the utilization rates of the CPU, the memory and the storage space of the virtual assets and the physical assets and outputting a detection value; and the number of the first and second groups,
triggering a threshold alarm event when the detection value exceeds the criterion threshold.
4. The flow control method for automatically triggering workflow according to claim 3, wherein: the threshold alarm event further comprises the steps of:
and analyzing the detection value based on big data analysis to obtain a reference threshold value, and replacing the standard threshold value with the reference threshold value as a comparison standard.
5. The method for flow control of an automatic trigger workflow according to claim 4, wherein: the analyzing the detection values based on big data analysis and deriving a reference threshold value, replacing the standard threshold value with the reference threshold value as a comparison criterion comprises the following sub-steps:
setting statistical time, and performing statistics on all detection values in the statistical time
Storing all detection values;
drawing a change curve of the detection value by taking the statistical time as an X axis and the detection value as a Y axis; and the number of the first and second groups,
taking 80% of the discrete points of the detection values along the X axis as a standard range, and taking the lowest value of the detection values exceeding the standard range as an alarm value; and selecting the highest value in the standard range as a standard value, and taking the average value of the alarm value and the standard value as a reference threshold value.
6. The method for flow control of an automatic trigger workflow according to claim 5, wherein: the step of storing all the detection values comprises the following steps:
storing the detection values into a database in a queue mode;
updating the detection values in the database every day; and the number of the first and second groups,
and calculating a reference threshold value after the detection value is updated.
7. The method for flow management and control of an auto-triggered workflow according to claim 1, wherein: when the corresponding trigger event occurs, the automatic starting of the workflow comprises the following steps:
automatically starting a workflow corresponding to the trigger event;
reading a form value needing to be input in a form of the workflow in a mode of interface calling; and the number of the first and second groups,
and automatically assigning the form value to a corresponding workflow form.
8. The utility model provides an automatic flow management and control device of trigger workflow which characterized in that: the method comprises the following steps:
the system comprises a workflow design module (1) for designing a workflow suitable for automatic triggering and setting the flow direction of the workflow;
the workflow management module (2) is used for setting a trigger event for automatically triggering the workflow and establishing a relationship between the trigger events of different workflows and the corresponding workflows;
a trigger event management module (3) for managing the workflow for different trigger events;
the workflow starting module (4) is used for automatically starting the corresponding workflow when the triggering event occurs;
the workflow engine (5) is used for driving the workflow to correspond to the processing personnel in the flow direction of the workflow;
a threshold calculation module (6) for calculating a reference threshold value from the detection values; and the number of the first and second groups,
and the storage module (7) is used for storing all the test values.
9. The utility model provides a flow management and control system of automatic trigger workflow which characterized in that: comprising a memory and a processor, said memory having stored thereon a computer program which can be loaded by the processor and which performs the method of any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 7.
CN202010726391.0A 2020-07-25 2020-07-25 Flow management and control method, device and system for automatically triggering workflow and storage medium Pending CN111898899A (en)

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