CN111784183A - Detection flow processing method, device and system and storage medium - Google Patents
Detection flow processing method, device and system and storage medium Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0633—Workflow analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Abstract
The application relates to a detection flow processing method, a device, a system and a storage medium, wherein the method comprises the steps of acquiring task information; generating detection process interface information associated with the task information according to the task information, wherein the detection process interface information comprises a plurality of detection process information; acquiring one or more pieces of first selection information, wherein each piece of first selection information points to a piece of determined detection flow information; generating detection task information according to the first selection information; and sending the detection task information to the corresponding processing node. The processing device and the processing system process the detection flow by using the method, and the computer readable storage medium stores codes corresponding to the detection flow processing method. The method and the device are used for processing the detection process, and the issuing speed of the detection task can be improved.
Description
Technical Field
The present application relates to the field of process management technologies, and in particular, to a method, an apparatus, a system, and a storage medium for detecting a process.
Background
The current detection has started to develop towards comprehensive detection, for example, for a detection project, a plurality of detection contents are contained in the detection project, and different detection departments are required to participate. In the process of issuing the detection task, a person in charge needs to decompose the detection contents one by one according to experience and then send one of the detection contents to a corresponding detection department, and the process takes much time.
Disclosure of Invention
In order to improve the issuing speed of the detection task, the application provides a detection flow processing method, a device, a system and a storage medium.
The above object of the present application is achieved by the following technical solutions:
in a first aspect, the present application provides a detection flow processing method, including:
acquiring task information;
generating detection process interface information associated with the task information according to the task information, wherein the detection process interface information comprises a plurality of detection process information;
acquiring one or more pieces of first selection information, wherein each piece of first selection information points to a piece of determined detection flow information;
generating detection task information according to the first selection information; and
and sending the detection task information to the corresponding processing node.
By adopting the technical scheme, after the task information is acquired, the detection flow information associated with the task information can be automatically generated according to the task information, and after the detection flow information is selected, the detection task information can be generated and issued to the processing node corresponding to the detection task information. In the process, selection can be performed according to the automatically generated detection flow information, and the detection flow information can be automatically issued to the corresponding detection department after the selection is completed.
In a preferred example of the first aspect, when the selected detection procedure information is obtained:
acquiring detection information corresponding to the detection process information, wherein the detection information comprises detection room information or detection personnel information;
generating selection interface information;
displaying the detection information in the selected interface information;
acquiring second selection information, wherein each piece of second selection information points to a piece of determined detection information; and
and generating detection flow information according to the second selection information.
By adopting the technical scheme, the task can be directly issued to a specific detection room or detection personnel, and the task issuing speed can be further improved.
In a preferred example of the first aspect, when the detection information is acquired, first information corresponding to the detection information is acquired at the same time;
the first information includes work order information and time information corresponding to the work order information.
By adopting the technical scheme, the task arrangement of the corresponding detection room or detection personnel can be known in time, the issued tasks can be conveniently adjusted, and the tasks are processed by the detection room or detection personnel with fewer tasks or capable of being processed as soon as possible.
In a preferred example of the first aspect, the method further includes:
acquiring sequencing information of the first information on a time sequence;
acquiring queue-insertion information;
inserting the detection information into the sorting information; and
time information in the first information following the queue-insertion information is adjusted.
By adopting the technical scheme, the urgent tasks can be inserted into the first information to be processed in advance, so that the urgent tasks needing to be processed can be processed in a queue insertion mode.
In a second aspect, the present application provides a detection flow processing apparatus, including:
a first acquisition unit configured to acquire task information;
the first generating unit is used for generating detection process interface information related to the task information according to the task information, wherein the detection process interface information comprises a plurality of detection process information;
the second acquisition unit is used for acquiring one or more pieces of first selection information, and each piece of first selection information points to a piece of determined detection flow information;
the second generating unit is used for generating detection task information according to the first selection information; and
and the distribution unit is used for sending the detection task information to the corresponding processing node.
By adopting the technical scheme, after the task information is acquired, the detection flow information associated with the task information can be automatically generated according to the task information, and after the detection flow information is selected, the detection task information can be generated and issued to the processing node corresponding to the detection task information. In the process, selection can be performed according to the automatically generated detection flow information, and the detection flow information can be automatically issued to the corresponding detection department after the selection is completed.
In a preferred example of the second aspect, the method further includes:
a third obtaining unit, configured to obtain detection information corresponding to the selected detection process information while obtaining the detection process information, where the detection information includes detection room information or detection person information;
the third generating unit is used for generating selection interface information;
the first display unit is used for displaying the detection information in the selected interface information;
the fourth acquisition unit is used for acquiring second selection information, and each piece of second selection information points to a piece of determined detection information; and
and the fourth generating unit is used for generating detection flow information according to the second selection information.
By adopting the technical scheme, the task can be directly issued to a specific detection room or detection personnel, and the task issuing speed can be further improved.
In a preferred example of the second aspect, the method further includes:
a fifth acquiring unit, configured to acquire the first information corresponding to the detection information at the same time when the detection information is acquired;
the first information includes work order information and time information corresponding to the work order information.
By adopting the technical scheme, the task arrangement of the corresponding detection room or detection personnel can be known in time, the issued tasks can be conveniently adjusted, and the tasks are processed by the detection room or detection personnel with fewer tasks or capable of being processed as soon as possible.
In a preferred example of the second aspect, the method further includes:
a sixth acquiring unit, configured to acquire ranking information of the first information on a time series;
a seventh acquiring unit configured to acquire the queue-insertion information;
the queue insertion unit is used for inserting the detection information into the sequencing information; and
and an adjusting unit for adjusting time information in the first information following the queue-insertion information.
By adopting the technical scheme, the urgent tasks can be inserted into the first information to be processed in advance, so that the urgent tasks needing to be processed can be processed in a queue insertion mode.
In a third aspect, the present application provides a detection flow processing system, including:
one or more memories for storing instructions; and
one or more processors configured to call and execute the instructions from the memory, and perform any one of the detection flow processing methods described in the first aspect and the preferred example of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium comprising:
a program that, when executed by a processor, executes any one of the detection flow processing methods described in the first aspect and the preferred examples of the first aspect.
In a fifth aspect, the present application provides a computer program product comprising program instructions for executing any of the detection flow processing methods described in the first aspect and the preferred examples of the first aspect when the program instructions are executed by a computing device.
In a sixth aspect, the present application provides a system on a chip comprising a processor configured to perform the functions recited in the above aspects, such as generating, receiving, sending, or processing data and/or information recited in the above methods.
In one possible design, the system-on-chip further includes a memory for storing necessary program instructions and data. The chip system may be formed by a chip, or may include a chip and other discrete devices. The processor and the memory may be decoupled, disposed on different devices, connected in a wired or wireless manner, or coupled on the same device.
Drawings
Fig. 1 is a schematic block flow diagram of a method provided in an embodiment of the present application.
Fig. 2 is a schematic diagram of the process given on the basis of fig. 1.
Fig. 3 is a schematic block diagram of the process for optimizing step S103 based on fig. 1.
Fig. 4 is a schematic diagram illustrating selection of detection information according to an embodiment of the present application.
Fig. 5 is a schematic block diagram of a process of performing queue insertion according to an embodiment of the present application.
Fig. 6 is a schematic diagram of the process of performing the queue-insertion based on the process shown in fig. 5.
Fig. 7 is a schematic diagram of the process after the completion of the queue-insertion based on fig. 5.
Fig. 8 is a schematic block diagram of a process for progress tracking according to an embodiment of the present disclosure.
Fig. 9 is a schematic process diagram for progress tracking according to an embodiment of the present application.
Detailed Description
The technical solutions in the present application will be described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, a detection flow processing method disclosed in the embodiment of the present application includes:
s101, acquiring task information;
s102, generating detection process interface information related to the task information according to the task information, wherein the detection process interface information comprises a plurality of detection process information;
s103, acquiring one or more pieces of first selection information, wherein each piece of first selection information points to a piece of determined detection process information;
s104, generating detection task information according to the first selection information; and
and S105, sending the detection task information to the corresponding processing node.
In step S101, task information related to the detection item is acquired, and it should be understood that the task information directly related to one detection item should include contents such as a service object and the detection item, that is, the task information is a general information package, and has a guiding effect on subsequent detection.
In step S102, the task information in step S101 is analyzed, and then detection flow interface information associated with the task information is generated, where the detection flow interface information includes a plurality of detection flow information associated with the task information.
For example, one task information is to detect the plant area environment and the surrounding environment before a certain plant is started, and then for this task information, the detection flow information associated with this task information should be fixed, for convenience of description, the content included in the task information is simply divided into three categories, namely, groundwater, soil and air, and for these three categories of detection content, it should be fixed, and as to which task information needs to be used, a specific selection needs to be made, that is, the content in step S103 needs to be made.
The content in step S103 is to obtain first selection information, where the first selection information is to be directly issued by an operator of the device, and when the operating device is a computer, the used selection device may be a keyboard or a mouse, and when the operating device is a touch screen device, the first selection information may be issued in a touch manner.
Each piece of first selection information points to a piece of determined detection process information, so that after multiple selections, all pieces of detection process information related to the task information can be selected, and the process can be regarded as that proper detection process information is selected from the detection process information base to be combined.
Referring to fig. 2, in step S104, the detection process information selected in step S103 is processed to generate a detection task information, and the detection task information only includes the detection process information that needs to be performed, so that the detection task information is more intuitive to view, and is also convenient for an operator to check to determine whether there is a missing or multiple-choice situation, and if there is a missing or multiple-choice situation, the content in step S103 needs to be repeated, and the missing part is supplemented or the multiple-choice part is removed.
After the step S104 determines that the detection is completed, the content in the step S105 is directly performed, and the detection task information is issued to the processing node corresponding to the detection task information.
It should be understood that, for a certain detection task information, the corresponding processing node should be unique, so that the processing node can be processed in a direct issuing manner, the processing speed of the processing mode is higher, and meanwhile, the invalid communication cost during manual handover is avoided.
In the whole process, detection personnel only need to directly select corresponding detection process information according to task information, and then the detection process information can be automatically issued to the corresponding processing node for processing.
As a specific implementation manner of the detection flow processing method provided by the application, when the selected detection flow information is acquired, the following contents are added:
referring to fig. 3, in S201, detection information corresponding to the detection process information is obtained, where the detection information includes detection room information or detection person information;
s202, generating selection interface information;
s203, displaying the detection information in the selected interface information;
s204, second selection information is obtained, and each piece of second selection information points to a piece of determined detection information; and
and S205, generating detection flow information according to the second selection information.
It should be understood that for a detection mechanism with a certain scale, there may be multiple detection rooms or detection personnel capable of detecting a certain item at the same time, and if the detection process information can be directly sent to a specific detection room or detection personnel, the division of responsibility can be clearly performed, which also helps to promote the normal operation of work.
Therefore, in step S201, detection information corresponding to the detection process information is obtained, where the detection information needs to be determined according to a specific use environment, and the detection information includes detection room information or detection person information, for example, if a certain mechanism is in units of detection rooms, the detection information is detection room information, and if it is in units of detection persons, the detection information is detection person information.
Referring to fig. 4, the steps S202 and S203 are executed, that is, a selection interface message is generated and the detection message is displayed in the selection interface message. It should be understood that this selection interface information is directly oriented to the operator, so as to enable the operator to conveniently select the detection information as if the detection process information were selected.
In step S204, second selection information is obtained, where the second selection information is to be issued directly by an operator of the device, and when the operating device is a computer, the used selection device may be a keyboard or a mouse, and when the operating device is a touch screen device, the second selection information may be issued in a touch manner.
Each second selected message points to a certain detected message, so that the purpose of responsibility to the room or responsibility to the person can be realized.
Then, the step S205 is executed to generate a detection flow information according to the second selection information, where the detection flow information includes the detection room information or the detection personnel information.
For the detection task information generated in S104, the detection task information includes not only a plurality of detection process information, but also specific executor information for executing the detection process information, that is, detection room information or detection person information, and the detection task information can be distributed to rooms or people, which can further optimize the detection task information distribution mode, and the purpose is more clear.
As a specific embodiment of the detection flow processing method provided by the application, when the detection information is acquired, that is, when the content in step S201 is executed, the first information corresponding to the detection information is acquired at the same time, and the first information includes the work order information and the time information corresponding to the work order information.
It should be understood that, for a certain detection room or detection person, there may be a plurality of tasks that need to be processed, that is, there may be a situation that the detection room or detection person is full in the last few days, so that the step of acquiring the first information is added, and after the first information is acquired, how many tasks are in the detection room or detection person, how much time is needed for processing, so that a suitable detection room or detection person can be selected for processing or assigned to the detection room or detection person that can be processed as soon as possible.
For example, the following steps are carried out:
if a certain piece of detection flow information needs urgent processing, the operator can judge which detection chamber or detection person can process the information in the shortest time after seeing the first information, and the detection flow information can be directly distributed.
For a certain detection flow information, the operator prefers to a certain detection room or detection personnel to process, when the time can meet the processing progress, the detection flow information can be assigned preferentially, and when the time cannot meet the processing progress, the detection flow information can be assigned to other detection rooms or detection personnel to process.
Referring to fig. 5, it should be understood that, for a certain task information requiring emergency processing, in some allowable cases, advanced processing is required, so that as a specific implementation of the detection flow processing method provided by the application, the following is added:
s301, obtaining the sequencing information of the first information on the time sequence;
s302, queue-jumping information is obtained;
s303, inserting the detection information into the sequencing information; and
and S304, adjusting the time information in the first information after the queue-insertion information.
In step S301, the order information of the first information in time series is required, that is, the tasks required to be processed by a certain detection room or detection personnel can be displayed, so that it can be determined whether the detection room or detection personnel can be queued and what position in time series can be selected specifically for queuing, for example, for detection that part of the detection requires emergency processing, queuing cannot be performed before the detection, and for detection that part of the detection can lag processing, queuing can be performed before the detection.
Referring to fig. 6 and 7, in step S302, queue-insertion information is obtained, and the queue-insertion information points to a specific position in the ordering information of the first information in the time sequence.
Then, in step S303, the detection information is inserted into the sorting information, and then, in step S304, the time information in the first information after the queue insertion information is adjusted, because a certain time is occupied after a certain detection information is inserted, the processing time of the subsequent first information also needs to be adjusted backwards accordingly.
For example, if the processing time required for this inserted detection information is one hour, the time information in the first information subsequent thereto needs to be adjusted one hour later.
It should be understood that there should be a strict restriction on the queue-insertion operation, and not every operator has the right to perform the operation, and the specific manner should be as follows:
first, account right limitation is used, different permissions are set for different accounts, and only part of the accounts have the permission to carry out queue-insertion operation.
And secondly, a temporary application system is used, namely when one account needs to carry out queue-inserting operation, the authority needs to be temporarily applied, and the authority is recovered after the operation is finished.
Thirdly, using an auditing system, queue-jumping operation can be performed for a specific account, but after queue-jumping is completed, a specific account needs to be audited and authorized to take effect.
Meanwhile, in order to more directly understand the progress of the task information, as a specific embodiment of the detection flow processing method provided by the application, please refer to fig. 8, the following contents are added:
s401, generating progress board information according to the detection process information, wherein the progress board information comprises a plurality of pieces of progress information, and each piece of progress information points to a piece of determined detection process information;
s402, carrying out data communication with a processing node;
s403, acquiring the completion information of the detection process information related to the processing node performing data communication; and
s404, displaying relevant information of each progress message on the progress board message, wherein the relevant information comprises completion information or incomplete information.
According to the progress signboard information generated in step S401, the operator can visually see the completion and incompletion of the detection process information, and can communicate with the processing node in time, so that the whole detection task information can be completed within a specified time.
The following two ways of data communication with the processing node are available:
first, data communication is actively performed with a processing node at a certain frequency.
And secondly, passively receiving the completion information data sent by the processing node.
The embodiment of the present application further discloses a detection flow processing apparatus, including:
a first acquisition unit configured to acquire task information;
the first generating unit is used for generating detection process interface information related to the task information according to the task information, wherein the detection process interface information comprises a plurality of detection process information;
the second acquisition unit is used for acquiring one or more pieces of first selection information, and each piece of first selection information points to a piece of determined detection flow information;
the second generating unit is used for generating detection task information according to the first selection information; and
and the distribution unit is used for sending the detection task information to the corresponding processing node.
In one example, the units in any of the above apparatuses may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), or a combination of at least two of these integrated circuit forms. As another example, when a unit in a device may be implemented in the form of a processing element scheduler, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of invoking programs. As another example, these units may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Furthermore, a third acquisition unit is added for acquiring the detection information corresponding to the detection flow information while acquiring the selected detection flow information, wherein the detection information comprises detection room information or detection personnel information;
the third generating unit is used for generating selection interface information;
the first display unit is used for displaying the detection information in the selected interface information;
the fourth acquisition unit is used for acquiring second selection information, and each piece of second selection information points to a piece of determined detection information; and
and the fourth generating unit is used for generating detection flow information according to the second selection information.
Further, a fifth acquiring unit is added for acquiring the first information corresponding to the detection information when the detection information is acquired;
the first information includes work order information and time information corresponding to the work order information.
Further, a sixth obtaining unit is added for obtaining the ordering information of the first information on the time series;
a seventh acquiring unit configured to acquire the queue-insertion information;
the queue insertion unit is used for inserting the detection information into the sequencing information; and
and an adjusting unit for adjusting time information in the first information following the queue-insertion information.
The embodiment of the application also discloses a detection flow processing system, which comprises:
one or more memories for storing instructions; and
one or more processors configured to call and execute the instructions from the memory to perform any one of the detection flow processing methods described above.
Various objects such as various messages/information/devices/network elements/systems/devices/actions/operations/procedures/concepts may be named in the present application, it is to be understood that these specific names do not constitute limitations on related objects, and the named names may vary according to circumstances, contexts, or usage habits, and the understanding of the technical meaning of the technical terms in the present application should be mainly determined by the functions and technical effects embodied/performed in the technical solutions.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein 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 ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, 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.
The 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.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It should also be understood that, in various embodiments of the present application, first, second, etc. are used merely to indicate that a plurality of objects are different. For example, the first time window and the second time window are merely to show different time windows. And should not have any influence on the time window itself, and the above-mentioned first, second, etc. should not impose any limitation on the embodiments of the present application.
It is also to be understood that the terminology and/or the description of the various embodiments herein is consistent and mutually inconsistent if no specific statement or logic conflicts exists, and that the technical features of the various embodiments may be combined to form new embodiments based on their inherent logical relationships.
It will be appreciated that the memory in the embodiments of the subject application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory.
The non-volatile memory may be ROM, Programmable Read Only Memory (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), or flash memory.
Volatile memory can be RAM, which acts as external cache memory. There are many different types of RAM, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synclink DRAM (SLDRAM), and direct memory bus RAM.
The processor mentioned in any of the above may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the method for transmitting feedback information. The processing unit and the storage unit may be decoupled, and are respectively disposed on different physical devices, and are connected in a wired or wireless manner to implement respective functions of the processing unit and the storage unit, so as to support the system chip to implement various functions in the foregoing embodiments. Alternatively, the processing unit and the memory may be coupled to the same device.
The functions, if implemented in the form of software functional units 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 or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a computer-readable storage medium, which includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned computer-readable storage media comprise: 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.
The embodiments of the present invention are preferred embodiments of the present application, and the scope of protection of the present application is not limited by the embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. A detection flow processing method is characterized by comprising the following steps:
acquiring task information;
generating detection process interface information associated with the task information according to the task information, wherein the detection process interface information comprises a plurality of detection process information;
acquiring one or more pieces of first selection information, wherein each piece of first selection information points to a piece of determined detection flow information;
generating detection task information according to the first selection information; and
and sending the detection task information to the corresponding processing node.
2. The detection flow processing method according to claim 1, wherein when the selected detection flow information is acquired:
acquiring detection information corresponding to the detection process information, wherein the detection information comprises detection room information or detection personnel information;
generating selection interface information;
displaying the detection information in the selected interface information;
acquiring second selection information, wherein each piece of second selection information points to a piece of determined detection information; and
and generating detection flow information according to the second selection information.
3. The detection flow processing method according to claim 2, wherein: when the detection information is acquired, first information corresponding to the detection information is acquired at the same time;
the first information includes work order information and time information corresponding to the work order information.
4. The detection flow processing method according to claim 3, further comprising:
acquiring sequencing information of the first information on a time sequence;
acquiring queue-insertion information;
inserting the detection information into the sorting information; and
time information in the first information following the queue-insertion information is adjusted.
5. A detection flow processing apparatus, comprising:
a first acquisition unit configured to acquire task information;
the first generating unit is used for generating detection process interface information related to the task information according to the task information, wherein the detection process interface information comprises a plurality of detection process information;
the second acquisition unit is used for acquiring one or more pieces of first selection information, and each piece of first selection information points to a piece of determined detection flow information;
the second generating unit is used for generating detection task information according to the first selection information; and
and the distribution unit is used for sending the detection task information to the corresponding processing node.
6. The detection flow processing apparatus according to claim 5, further comprising:
a third obtaining unit, configured to obtain detection information corresponding to the selected detection process information while obtaining the detection process information, where the detection information includes detection room information or detection person information;
the third generating unit is used for generating selection interface information;
the first display unit is used for displaying the detection information in the selected interface information;
the fourth acquisition unit is used for acquiring second selection information, and each piece of second selection information points to a piece of determined detection information; and
and the fourth generating unit is used for generating detection flow information according to the second selection information.
7. The detection flow processing apparatus according to claim 5, further comprising: a fifth acquiring unit, configured to acquire the first information corresponding to the detection information at the same time when the detection information is acquired;
the first information includes work order information and time information corresponding to the work order information.
8. The detection flow processing apparatus according to claim 5, further comprising:
a sixth acquiring unit, configured to acquire ranking information of the first information on a time series;
a seventh acquiring unit configured to acquire the queue-insertion information;
the queue insertion unit is used for inserting the detection information into the sequencing information; and
and an adjusting unit for adjusting time information in the first information following the queue-insertion information.
9. A detection flow processing system, the system comprising:
one or more memories for storing instructions; and
one or more processors configured to call and execute the instructions from the memory, and perform the detection flow processing method according to any one of claims 1 to 4.
10. A computer-readable storage medium, the computer-readable storage medium comprising:
a program that, when executed by a processor, performs the detection flow processing method according to any one of claims 1 to 4.
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| CN202010671951.7A CN111784183A (en) | 2020-07-14 | 2020-07-14 | Detection flow processing method, device and system and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114608512A (en) * | 2022-01-13 | 2022-06-10 | 云南省公路科学技术研究院 | Whole-process monitoring system for detecting technical condition of highway pavement |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114608512A (en) * | 2022-01-13 | 2022-06-10 | 云南省公路科学技术研究院 | Whole-process monitoring system for detecting technical condition of highway pavement |
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