A kind of early warning system for work tickets

Abstract

The present invention discloses a work ticket early warning system, which specifically relates to the field of special operations of hazardous chemicals, and mainly solves the problem of multiple work tickets for similar operations existing in the existing special operation ticket issuance. The work ticket early warning system includes a work data acquisition unit, a data segmentation unit, a type judgment unit, a redundancy reduction early warning unit and an output unit. The work data acquisition unit includes a work permit system and a manual collection and collation system, and the work information contained in the work ticket is acquired through the work permit system or the manual collection and collation system; the data segmentation unit includes a data professional word list used by petrochemical enterprises, and the data segmentation unit performs word segmentation on the work content in the work information according to the preset professional word list; the type judgment unit judges the work object and work action in the work ticket to determine whether there are the same work object and work action in the work ticket.

Description

Technical Field

[0001] The invention relates to the field of special operations of hazardous chemicals, and in particular to an operation ticket early warning system. Background Art

[0002] In recent years, accidents caused by special operations in hazardous chemical companies still occur frequently. Sometimes, multiple operations may be performed for the same problem. The number of operations is too many. First, the operation means cannot be completed in one time. Second, for the same problem, different departments will apply for and approve the operation tickets multiple times, which increases the number of operation tickets. Therefore, accidents caused by special operations still occur frequently. The reason is that this is largely related to the high-risk operation volume. The high operation volume greatly reduces the implementation of the system. Therefore, how to reduce the frequency of operations has become an important means to control the occurrence of accidents. In view of the problem of multiple operation tickets for similar operations in the existing special operation invoicing, the work intensity of process approval is significantly increased. The existing technical methods have not yet had a corresponding systematic method for how to identify such operations. Summary of the invention

[0003] The purpose of the present invention is to provide a job ticket early warning system, which will effectively reduce the number of job tickets, while reducing personnel process approval and improving the timeliness of operations.

[0004] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is:

[0005] A job ticket early warning system is based on the Internet of Things technology and is used for early warning of reduction of redundant job tickets of enterprises through a job data acquisition unit, a data segmentation unit, a type judgment unit, a redundancy reduction early warning unit and an output unit.

[0006] Preferably, the operation data acquisition unit is connected to the data segmentation unit, the data segmentation unit is connected to the type judgment unit, the type judgment unit is connected to the redundancy reduction warning unit, and the redundancy reduction warning unit is connected to the output unit.

[0007] Preferably, the operation data acquisition unit includes an operation permit system and a manual collection and collation system, and the operation information contained in the operation ticket is acquired through the operation permit system or the manual collection and collation system.

[0008] Preferably, the data segmentation unit includes a data professional vocabulary used by petrochemical enterprises, and the data segmentation unit segments the operation content in the operation information according to a preset professional vocabulary.

[0009] Preferably, the type determination unit determines whether there are identical operation objects and operation actions in the operation ticket by determining the operation objects and operation actions in the operation ticket.

[0010] Preferably, the redundancy reduction warning unit includes a job reduction model, and the redundancy reduction warning unit determines whether the job ticket needs to be reduced through the job reduction model.

[0011] Preferably, the output unit includes a data aggregation unit and a data backup unit, and the data aggregation unit and the data backup unit are used to aggregate and backup the job tickets that have been eliminated in the redundancy reduction warning unit.

[0012] Preferably, the system comprises the following steps during operation:

[0013] Step a: Obtain the operation information contained in the operation ticket through the operation permission system or manual collection and sorting system in the operation data acquisition unit, and obtain the operation data from the operation ticket;

[0014] Step b: Split the job data through the data splitting unit

[0015] Step c: determining the operations with the same contents except for the different numbers on the same day through the type judgment unit;

[0016] Step d: Determine whether the job needs to be eliminated through the redundant job elimination model;

[0017] Step e: Output all the tasks that should be eliminated and the reasons.

[0018] Preferably, the work ticket is a work permit ticket, which contains work data of the permitted work, and the work data includes the license number, license type, ticket level, work content, work start time and work end time.

[0019] Preferably, when the data segmentation unit in step b performs segmentation, it is necessary to segment the job information contained in the job ticket according to a preset professional vocabulary, so that the job data is segmented.

[0020] Preferably, when the type judgment unit in step c determines the job content, it extracts the job object attribute number belonging to the professional vocabulary in the job content, and at the same time determines the job tickets with the same job object and job action through text matching, and adds a new field to identify them as the same type of job ticket, thereby determining the jobs with the same job content except for different numbers on the same day.

[0021] Preferably, in the step d, determining whether a job needs to be eliminated through the redundant job elimination model is to first loop through the job tickets of the same type identified above, if the number of job tickets with different job object numbers but otherwise the same issued within the same day is greater than 1, and the number of numbers contained in the job objects of each job ticket is less than the number of job object numbers contained in the largest job ticket of this type, then these job tickets should be eliminated.

[0022] Preferably, in step e, when outputting all the jobs and reasons to be eliminated, the object number of the job ticket to be eliminated should also be merged into the previous job ticket, and the job ticket to be eliminated and the reason for elimination should be output at the same time.

[0023] The beneficial effects of the present invention are:

[0024] The above-mentioned operation ticket warning system realizes the reduction of redundant operation tickets in the warning system by setting the operation data acquisition unit, data segmentation unit, type judgment unit, redundant reduction warning unit and output unit. By using the redundant operation ticket reduction warning method, the number of operation tickets is effectively reduced, and the personnel process approval is reduced, and the timeliness of the operation is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is the structure diagram of the job ticket warning system.

[0026] Figure 2 It is a flow chart of the redundant job ticket reduction early warning method.

[0027] Figure 3 It is a flowchart of the floating plate replacement operation ticket reduction process.

[0028] Figure 4 It is the flowchart of the valve lock replacement work ticket reduction process. DETAILED DESCRIPTION

[0029] The present invention is described in detail below in conjunction with the accompanying drawings:

[0030] A job ticket early warning system is based on the Internet of Things technology and is used for early warning of reduction of redundant job tickets of enterprises through a job data acquisition unit, a data segmentation unit, a type judgment unit, a redundancy reduction early warning unit and an output unit.

[0031] The operation data acquisition unit is connected to the data segmentation unit, the data segmentation unit is connected to the type judgment unit, the type judgment unit is connected to the redundancy reduction warning unit, and the redundancy reduction warning unit is connected to the output unit.

[0032] The operation data acquisition unit includes an operation permit system and a manual collection and arrangement system, and acquires the operation information contained in the operation ticket through the operation permit system or the manual collection and arrangement system.

[0033] The data segmentation unit includes a data professional vocabulary used by petrochemical enterprises. The data segmentation unit segments the operation content in the operation information according to the preset professional vocabulary.

[0034] The type judgment unit judges whether there are identical operation objects and operation actions in the operation ticket by judging the operation objects and operation actions in the operation ticket.

[0035] The redundancy reduction warning unit includes a job reduction model, and the redundancy reduction warning unit determines whether the job ticket needs to be reduced through the job reduction model.

[0036] The output unit includes a data collection unit and a data backup unit, and the data collection unit and the data backup unit are used to collect and backup the job tickets that are eliminated in the redundancy reduction warning unit.

[0037] The system works in the following steps:

[0038] Step a: Obtain the operation information contained in the operation ticket through the operation permission system or manual collection and sorting system in the operation data acquisition unit, and obtain the operation data from the operation ticket;

[0039] Step b: Split the job data through the data splitting unit

[0040] Step c: determining the operations with the same contents except for the different numbers on the same day through the type judgment unit;

[0041] Step d: Determine whether the job needs to be eliminated through the redundant job elimination model;

[0042] Step e: Output all the tasks that should be eliminated and the reasons.

[0043] The work ticket is a work permit ticket, which contains the work data of the permitted work, including the license number, license type, ticket level, work content, work start time and work end time.

[0044] When the data segmentation unit in step b performs segmentation, it is necessary to segment the job information contained in the job ticket according to a preset professional vocabulary, so that the job data is segmented.

[0045] When the type judgment unit in step c determines the job content, it extracts the job object attribute number in the professional vocabulary in the job content, and at the same time determines the job tickets with the same job object and job action through text matching, and adds a new field to identify them as the same type of job ticket, thereby determining the jobs with the same job content except for different numbers on the same day.

[0046] In step d, determining whether a job needs to be eliminated through the redundant job elimination model is to first loop through the job tickets of the same type identified above. If the number of job tickets with different job object numbers but the same other numbers on the same day is greater than 1, and the number of job object numbers contained in each job ticket is less than the number of job object numbers contained in the largest job ticket of this type, then these job tickets should be eliminated.

[0047] In step e, when outputting all the jobs and reasons to be eliminated, the object number of the job ticket to be eliminated should also be merged into the previous job ticket, and the job ticket to be eliminated and the reason for elimination should be output at the same time.

[0048] Example 1

[0049] Combination Figure 1 A job ticket warning system includes a job data acquisition unit 100, a data segmentation unit 200, a type judgment unit 300, a redundancy reduction warning unit 400 and an output unit 500, the job data acquisition unit 100 is connected to the data segmentation unit 200, the data segmentation unit 200 is connected to the type judgment unit 300, the type judgment unit 300 is connected to the redundancy reduction warning unit 400, and the redundancy reduction warning unit 400 is connected to the output unit 500.

[0050] The operation data acquisition unit 100 includes an operation permission system and a manual collection and arrangement system, and acquires operation information included in the operation ticket through the operation permission system or the manual collection and arrangement system.

[0051] The data segmentation unit 200 includes a data professional vocabulary used by petrochemical enterprises. The data segmentation unit 200 segments the operation content in the operation information according to the preset professional vocabulary.

[0052] The type determination unit 300 determines whether there are identical operation objects and operation actions in the operation ticket by determining the operation objects and operation actions in the operation ticket.

[0053] The redundancy reduction warning unit 400 includes a job reduction model, and the redundancy reduction warning unit determines whether the job ticket needs to be reduced through the job reduction model.

[0054] The output unit 500 includes a data collection unit and a data backup unit, and the data collection unit and the data backup unit are used to collect and backup the job tickets that have been eliminated in the redundancy reduction warning unit.

[0055] Example 2

[0056] Combination Figure 2 and Figure 3 , a redundant work ticket reduction early warning method, comprising the following steps:

[0057] Obtain operation data S100, collect and organize operation permit tickets through the operation permit system, and obtain the operation information contained in the operation permit ticket. The operation information, that is, the operation data in the operation permit ticket, includes the license number, license category, ticket level, operation content, operation start time, and operation end time.

[0058] The operation data is segmented S200 according to a preset professional vocabulary, including an operation object attribute number table such as G904, 26B, an object table such as furnace, pipeline, tank, and an operation action table such as patching, replacement, rust removal, and polishing. The operation content is segmented and punctuation stop words are removed, such as G90 overhaul, fire protection facility replacement; floating plate patching, which is segmented into "G90 overhaul, fire protection facility replacement, floating plate patching".

[0059] Determine the jobs S300 with the same job content except for different job numbers on the same day, extract the job object attribute number in the professional vocabulary in the job content, and at the same time determine the job tickets with the same job object and job action through text matching, and add a new field to mark them as the same type of job tickets.

[0060] As shown in Table 1 below, the work contents of the four work tickets have the same work objects and work actions after segmentation, so they can be marked as work types with the same work contents.

[0061] Table 1

[0062]

[0063] Determine whether the job needs to be eliminated S400 through the redundant job reduction model, loop through the same type of job tickets identified above, if the number of job tickets with different job object numbers but the same other numbers on the same day is greater than 1, and the number of numbers contained in each job ticket job object is less than the number of job object numbers contained in the largest job ticket of this type, then these job tickets should be eliminated.

[0064] The work tickets for Day 2 to Day 4 in Table 1 are all on the same day and are identical except for the numbers, so the focus is on whether these three tickets should be eliminated. Since the work object numbers 22C, 256, and 92B of the three are all included in work ticket 1, two of these three work tickets can be eliminated.

[0065] Output all the jobs that should be eliminated and the reasons S500, merge the job ticket object numbers that should be eliminated into one job ticket, and output other job tickets that should be eliminated and the reasons for elimination.

[0066] Merge work tickets 3-4 into work ticket 2 as a partial subsidy for the river crossing section of Haitianyi Village on the factory line of 256, 92B, and 22C, with the start time being 2016 / 4 / 6 8:30:00. At the same time, output work tickets 3 and 4 that should be eliminated, including the reason that they are redundant work tickets.

[0067] Example 3

[0068] Combination Figure 4, obtain operation data, manually collect and organize operation permit tickets, obtain the operation information contained in the operation permit ticket, the operation information, that is, the operation data in the operation permit ticket, including license number, license category, ticket level, operation content, operation start time, and operation end time.

[0069] The operation data is segmented according to the preset professional vocabulary, including the operation object attribute number table such as G101, the object table such as oil pipe, valve, lock, and the operation action table such as patching, replacement, rust removal, and polishing. The operation content is segmented and punctuation stop words are removed, such as G101 maintenance, oil transport component replacement; valve lock replacement, which is segmented into "G101 maintenance, oil transport component valve lock replacement and patching".

[0070] Determine the jobs S300 with the same job content except for different job numbers on the same day, extract the job object attribute number in the professional vocabulary in the job content, and at the same time determine the job tickets with the same job object and job action through text matching, and add a new field to mark them as the same type of job tickets.

[0071] As shown in Table 2 below, the work contents of the four work tickets have the same work objects and work actions after segmentation, so they can be marked as work types with the same work contents.

[0072] Table 2

[0073]

[0074] Determine whether the job needs to be eliminated through the redundant job reduction model, and loop through the same type of job tickets identified above. If the number of job tickets with different job object numbers but the same other numbers on the same day is greater than 1, and the number of job object numbers contained in each job ticket is less than the number of job object numbers contained in the largest job ticket of this type, then these job tickets should be eliminated.

[0075] The above-mentioned operation ticket warning system realizes the reduction of redundant operation tickets in the warning system by setting the operation data acquisition unit 100, the data segmentation unit 200, the type judgment unit 300, the redundant reduction warning unit 400 and the output unit 500. By using the redundant operation ticket reduction warning method, the number of operation tickets is effectively reduced, and the personnel process approval is reduced, and the timeliness of the operation is improved.

[0076] It should be noted that, in this document, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0077] It should be noted that, in this document, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0078] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by technicians in this technical field within the essential scope of the present invention should also fall within the protection scope of the present invention.

Claims

1. A job ticket early warning system, characterized in that: Based on the Internet of Things technology, it is used for the reduction and warning of redundant operation tickets of enterprises through the operation data acquisition unit, data segmentation unit, type judgment unit, redundancy reduction warning unit and output unit; The operation data acquisition unit is connected to the data segmentation unit, the data segmentation unit is connected to the type judgment unit, the type judgment unit is connected to the redundancy reduction warning unit, and the redundancy reduction warning unit is connected to the output unit; The operation data acquisition unit includes an operation permit system and a manual collection and collation system, and acquires the operation information contained in the operation ticket through the operation permit system or the manual collection and collation system; The data segmentation unit includes a data professional vocabulary used by petrochemical enterprises, and the data segmentation unit performs word segmentation on the operation content in the operation information according to the preset professional vocabulary; The type judgment unit judges whether there are the same operation objects and operation actions in the operation ticket by judging the operation objects and operation actions in the operation ticket; The redundancy reduction warning unit includes a job reduction model, and the redundancy reduction warning unit determines whether the job ticket needs to be reduced through the job reduction model; The output unit includes a data collection unit and a data backup unit, and the data collection unit and the data backup unit are used to collect and backup the job tickets that are eliminated in the redundant reduction warning unit; The system includes the following steps during operation: Step a: Obtain the operation information contained in the operation ticket through the operation permission system or manual collection and sorting system in the operation data acquisition unit, and obtain the operation data from the operation ticket; Step b: Split the job data through the data splitting unit Step c: determining the operations with the same contents except for the different numbers on the same day through the type judgment unit; Step d: Determine whether the job needs to be eliminated through the redundant job elimination model; Step e: Output all the tasks that should be eliminated and the reasons; The work ticket is a work permit ticket, which contains the work data of the permitted work, including the license number, license type, ticket level, work content, work start time and work end time; When the data segmentation unit in step b performs segmentation, it is necessary to segment the operation information contained in the operation ticket according to a preset professional vocabulary, so that the operation data is segmented; When the type determination unit in step c determines the job content, it extracts the job object attribute number in the professional vocabulary from the job content, and determines the job tickets with the same job object and job action through text matching, and adds a new field to identify them as the same type of job tickets, thereby determining the jobs with the same job content except for different numbers on the same day; In the step d, determining whether a job needs to be eliminated by using the redundant job elimination model is to first loop through the same type of job tickets identified above, and if the number of job tickets with different job object numbers but the same other numbers on the same day is greater than 1, and the number of job object numbers contained in each job ticket is less than the number of job object numbers contained in the largest job ticket of this type, then these job tickets should be eliminated; In step e, when outputting all the jobs and reasons to be eliminated, the object number of the job ticket to be eliminated should also be merged into the previous job ticket, and the job ticket to be eliminated and the reason for elimination should be output at the same time.

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