CN115509184A - Inspection route optimization method and device of inspection unit and electronic equipment - Google Patents
Inspection route optimization method and device of inspection unit and electronic equipment Download PDFInfo
- Publication number
- CN115509184A CN115509184A CN202211064341.6A CN202211064341A CN115509184A CN 115509184 A CN115509184 A CN 115509184A CN 202211064341 A CN202211064341 A CN 202211064341A CN 115509184 A CN115509184 A CN 115509184A
- Authority
- CN
- China
- Prior art keywords
- routing inspection
- route
- inspection
- abnormal information
- patrol
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007689 inspection Methods 0.000 title claims abstract description 292
- 238000000034 method Methods 0.000 title claims abstract description 81
- 238000005457 optimization Methods 0.000 title claims description 8
- 230000002159 abnormal effect Effects 0.000 claims abstract description 105
- 230000008569 process Effects 0.000 claims abstract description 51
- 238000004519 manufacturing process Methods 0.000 claims abstract description 47
- 230000000875 corresponding effect Effects 0.000 claims description 37
- 230000015654 memory Effects 0.000 claims description 25
- 238000004590 computer program Methods 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 8
- 230000002596 correlated effect Effects 0.000 claims description 5
- 230000006870 function Effects 0.000 description 9
- 238000004891 communication Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000005856 abnormality Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 239000000725 suspension Substances 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32015—Optimize, process management, optimize production line
Abstract
The invention discloses a method, a device and electronic equipment for optimizing a routing inspection route of a routing inspection unit, wherein the method comprises the steps of acquiring abnormal information uploaded by a target production line in a statistical period every time a preset statistical period passes; setting a routing inspection key area based on the abnormal process position corresponding to each abnormal information, and adjusting the stored routing inspection route based on the routing inspection key area so as to enable the adjusted routing inspection route to cover all routing inspection key areas; and updating the current routing inspection routes of all routing inspection units on the target production line based on the adjusted routing inspection routes. The invention realizes that the current routing inspection route of the routing inspection unit is continuously optimized and adjusted according to the abnormal information condition generated by the production line in the actual production and transportation process, ensures that the routing inspection unit can stably cover the production line area which is easy to generate abnormity under the current condition, and improves the routing inspection effectiveness and the routing inspection overall efficiency.
Description
Technical Field
The application relates to the technical field of automatic control, in particular to a method and a device for optimizing a routing inspection route of a routing inspection unit and electronic equipment.
Background
In the hanging production system, produced clothes are hung on the hanging carrier and are carried by the hanging carrier to move and transport on the rails of each production line. In the actual production factory building of producer, the production line track that is used for transporting hanging carrier generally sets up at the indoor top of factory building to avoid the clothing in transit to cause the influence to the work of production station below the factory building. However, such setting also makes personnel in the factory building inconvenient to supervise the working state of the overhead production line, so that the inspection units such as the suspension trolley are generally arranged in the suspension production system to supervise the working state of the production line.
The current inspection process of the inspection unit on the production line is circularly moved according to the set fixed route, and the inspection process cannot be adjusted according to the working condition change of the production line in the actual production process, so that the inspection process of the inspection unit gradually cannot be better aiming at the position which is seriously inspected with the covering actual requirement, and the whole inspection efficiency of the inspection unit is further lower and lower along with the lapse of time.
Disclosure of Invention
In order to solve the above problem, the embodiment of the application provides a method and a device for optimizing a routing inspection route of a routing inspection unit, and an electronic device.
In a first aspect, an embodiment of the present application provides a method for optimizing an inspection route of an inspection unit, where the method includes:
acquiring abnormal information uploaded by a target production line in a preset statistical period every time the preset statistical period passes;
setting routing inspection key areas based on abnormal process positions corresponding to the abnormal information, and adjusting stored routing inspection routes based on the routing inspection key areas so that the adjusted routing inspection routes cover all the routing inspection key areas;
and updating the current routing inspection route of each routing inspection unit on the target production line based on the adjusted routing inspection route.
Preferably, the setting of the inspection key area based on the abnormal process position corresponding to each piece of abnormal information includes:
and determining abnormal process positions corresponding to the abnormal information, respectively acquiring process track areas corresponding to the abnormal process positions from a preset database, and setting the process track areas as routing inspection key areas.
Preferably, the adjusting the stored routing inspection route based on the routing inspection key area so as to enable the adjusted routing inspection route to cover all the routing inspection key area includes:
determining the occurrence frequency of abnormal information of each routing inspection key area, and distributing area routing inspection weight for the routing inspection key area based on the occurrence frequency of the abnormal information;
and adjusting the stored routing inspection route based on the routing inspection key area so as to enable the adjusted routing inspection route to cover all the routing inspection key area, wherein the higher the routing inspection weight of the area is, the lower the routing inspection speed of the routing inspection unit corresponding to the routing inspection key area is.
Preferably, the allocating the region patrol weight to the patrol key region based on the number of occurrences of the abnormal information includes:
determining a first area polling weight corresponding to the polling key area based on the abnormal information occurrence frequency, wherein the first area polling weight is positively correlated with the abnormal information occurrence frequency;
determining a second area polling weight corresponding to the polling key area based on an abnormal information occurrence interval, wherein the abnormal information occurrence interval is a time interval between the last occurrence of the abnormal information and the current moment, and the second area polling weight is in negative correlation with the abnormal information occurrence interval;
and calculating the sum of the first region inspection weight and the second region inspection weight to obtain a region inspection weight, and distributing the region inspection weight to the inspection key region.
Preferably, the updating the current routing inspection route of each routing inspection unit on the target production line based on the adjusted routing inspection route includes:
respectively determining the current remaining routing inspection routes of all the routing inspection units;
when the proportion of the current remaining routing inspection route to the current routing inspection route of the routing inspection unit is lower than a preset proportion and any routing inspection key area does not exist in the current remaining routing inspection route, updating the current routing inspection route in real time based on the adjusted routing inspection route;
and when the proportion of the current remaining routing inspection route to the current routing inspection route of the routing inspection unit is not lower than a preset proportion or any routing inspection key area exists in the current remaining routing inspection route, after the routing inspection unit finishes the current remaining routing inspection route, updating the current routing inspection route based on the adjusted routing inspection route.
In a second aspect, an embodiment of the present application provides an inspection route optimization device for an inspection unit, where the device includes:
the acquisition module is used for acquiring abnormal information uploaded by a target production line in a preset statistical period each time the preset statistical period passes;
the adjusting module is used for setting a routing inspection key area based on the abnormal process position corresponding to each abnormal information, adjusting a stored routing inspection route based on the routing inspection key area, and enabling the adjusted routing inspection route to cover all the routing inspection key areas;
and the updating module is used for updating the current routing inspection routes of the routing inspection units on the target production line based on the adjusted routing inspection routes.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method as provided in the first aspect or any one of the possible implementation manners of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method as provided in the first aspect or any one of the possible implementations of the first aspect.
The invention has the beneficial effects that: the current routing inspection route of the inspection unit is continuously optimized and adjusted according to the abnormal information condition generated by the production line in the actual production and transportation process, the inspection unit can stably cover the area of the production line which is easy to be abnormal under the current condition, and the inspection effectiveness and the inspection overall efficiency are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the embodiments will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a routing inspection route optimization method of a routing inspection unit according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an inspection route optimizing device of an inspection unit according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
In the following description, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The following description provides embodiments of the present application, which may be combined or interchanged with one another, and therefore the present application is also to be construed as encompassing all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes features a, B, C and another embodiment includes features B, D, this application should also be construed as including embodiments that include all other possible combinations of one or more of a, B, C, D, although such embodiments may not be explicitly recited in the following text.
The following description provides examples, and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the described methods may be performed in an order different than the order described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
Referring to fig. 1, fig. 1 is a schematic flow chart of a routing inspection route optimization method of a routing inspection unit according to an embodiment of the present application. In an embodiment of the present application, the method includes:
s101, acquiring abnormal information uploaded by a target production line in a preset counting period every time the preset counting period passes.
The execution subject of the application can be a cloud server.
In the embodiment of the application, a statistic period is stored in the cloud server in advance, and the cloud server can be used for counting abnormal information of the target production line in the period according to the statistic period. The abnormal information is generated when abnormal data such as error report, operation stop, carrier matching failure and the like occur to production transportation equipment in a target production line and the abnormal data is reported to a cloud server.
S102, setting a routing inspection key area based on the abnormal process position corresponding to each abnormal information, and adjusting a stored routing inspection route based on the routing inspection key area so that the adjusted routing inspection route covers all routing inspection key areas.
In the embodiment of the application, because the target production line is composed of a plurality of production transportation devices, and different production transportation devices correspond to different production processes, after the cloud server counts abnormal information in a period, it is first required to determine which production process position in the target production line the abnormal data specifically appears according to the abnormal information, and then determine the abnormal data as the abnormal process position, and set up the routing inspection key area according to the abnormal process position. And then, adjusting and optimizing the currently stored routing inspection route according to each set routing inspection key area, so that the adjusted routing inspection route can cover all routing inspection key areas, the routing inspection unit can fully inspect and recheck abnormal areas in the subsequent routing inspection process, and the overall routing inspection efficiency of the routing inspection unit is further ensured. Wherein, the inspection unit can be an AVG trolley which moves on a transportation rail of the hanging production line system.
In one embodiment, the setting of the inspection key area based on the abnormal process position corresponding to each piece of abnormal information includes:
and determining abnormal process positions corresponding to the abnormal information, respectively acquiring process track areas corresponding to the abnormal process positions from a preset database, and setting the process track areas as routing inspection key areas.
In this application embodiment, after determining corresponding unusual process position according to unusual information, for guaranteeing follow-up can carry out abundant patrol and examine recheck to the position that appears unusually, should carry out once complete patrol and examine in the region that the equipment place that this process corresponds, carry out once complete patrol and examine along the transportation track that this process corresponds equipment promptly. Therefore, the cloud server stores a correspondence table between the devices corresponding to different processes and the track areas corresponding to the devices in the database in advance. After the abnormal process position is determined according to the abnormal information, the abnormal process position can be inquired in the database according to the equipment corresponding to the abnormal process position so as to obtain a process track area corresponding to the equipment, wherein the process track area is a final set inspection key area.
In one embodiment, the adjusting the stored patrol route based on the patrol emphasis area so that the adjusted patrol route covers all of the patrol emphasis area includes:
determining the occurrence frequency of abnormal information of each routing inspection key area, and distributing area routing inspection weight for the routing inspection key area based on the occurrence frequency of the abnormal information;
and adjusting the stored routing inspection route based on the routing inspection key area so as to enable the adjusted routing inspection route to cover all the routing inspection key areas, wherein the routing inspection speed of routing inspection units corresponding to the routing inspection key areas is lower with higher area routing inspection weight.
In the embodiment of the present application, the same process location may generate multiple times of abnormal information in one statistical period. The more the number of occurrences of the abnormality information is, the more serious the abnormality problem in the area is, or the higher the possibility of occurrence of the abnormality is, the more the inspection unit should perform the inspection. Therefore, the cloud server can distribute corresponding region inspection weight for each inspection key region according to the number of times of occurrence of abnormal information, and adjust the inspection speed of the inspection unit in the section of route corresponding to the inspection key region according to different region inspection weights in the process of adjusting the inspection route, so that the inspection unit can inspect the position with higher weight, namely the position with more serious abnormal condition, at lower speed, acquire more data quantity, and perform more sufficient inspection and analysis on the position, thereby ensuring the validity of the inspection result.
In an implementation manner, the allocating an area patrol weight to the patrol key area based on the number of occurrences of the abnormal information includes:
determining a first area polling weight corresponding to the polling key area based on the abnormal information occurrence frequency, wherein the first area polling weight is positively correlated with the abnormal information occurrence frequency;
determining a second area polling weight corresponding to the polling key area based on an abnormal information occurrence interval, wherein the abnormal information occurrence interval is a time interval between the last occurrence of the abnormal information and the current moment, and the second area polling weight is in negative correlation with the abnormal information occurrence interval;
and calculating the sum of the first region inspection weight and the second region inspection weight to obtain a region inspection weight, and distributing the region inspection weight to the inspection key region.
In the embodiment of the present application, in addition to the number of times of occurrence of the abnormal information in the period, the time of occurrence of the abnormal information is also considered, that is, for some positions, the occurrence frequency of the abnormal information is very low, and the abnormal information occurs once in a while. For the positions, if the abnormal condition does not occur for a long time, the positions can be considered to be relatively stable temporarily, and the positions do not need to be paid excessive attention in the inspection process. Therefore, a first area routing inspection weight and a second area routing inspection weight are respectively arranged, the number of times of the abnormal information at the position is represented by the first area routing inspection weight, and the time of the position which is far away from the last abnormal information is represented by the second area routing inspection weight. And finally, taking the sum of the first area patrol inspection weight and the second area patrol inspection weight as the area patrol inspection weight distributed by the patrol inspection key area, and correspondingly adjusting the patrol inspection speed of the patrol inspection unit passing through the area patrol inspection key area according to the weight.
S103, updating the current routing inspection routes of the routing inspection units on the target production line based on the adjusted routing inspection routes.
In this application embodiment, the high in the clouds server is adjusted the back to the route of patrolling and examining of its storage, can send it to each on the target production line and patrol and examine the unit to this is patrolled and examined the route at present of unit and is updated each, makes the route of patrolling and examining the unit constantly adjusted, accords with the actual behavior of current production line.
In one possible embodiment, step S103 includes:
respectively determining the current remaining routing inspection routes of each routing inspection unit;
when the proportion of the current remaining routing inspection route in the current routing inspection route of the routing inspection unit is lower than a preset proportion and any routing inspection key area does not exist in the current remaining routing inspection route, updating the current routing inspection route in real time based on the adjusted routing inspection route;
and when the proportion of the current remaining patrol route in the current patrol route of the patrol unit is not lower than a preset proportion or any patrol key area exists in the current remaining patrol route, after the patrol unit finishes the current remaining patrol route, updating the current patrol route based on the adjusted patrol route.
In the embodiment of the application, when the current routing inspection route is updated, part of routing inspection trolleys do not finish the whole routing inspection of the current route, so that the missing inspection of positions to be inspected can be avoided in order to avoid the generation of routing inspection blind areas in the updating process of the route, and the current remaining routing inspection routes of the routing inspection units can be judged before the route is updated. Specifically, if the proportion of the remaining patrol route of the patrol car in the total route is low, namely the patrol car is about to complete the patrol process, and the remaining route does not cover the patrol key area, the remaining route is not considered to be important, and the current patrol route can be directly updated in real time. Otherwise, the current routing inspection route is updated after the routing inspection unit finishes the routing inspection task.
The inspection route optimizing device of the inspection unit according to the embodiment of the present application will be described in detail with reference to fig. 2. It should be noted that, the inspection route optimizing device of the inspection unit shown in fig. 2 is used for executing the method of the embodiment shown in fig. 1 of the present application, for convenience of description, only the portion related to the embodiment of the present application is shown, and specific technical details are not disclosed, please refer to the embodiment shown in fig. 1 of the present application.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an inspection route optimizing device of an inspection unit according to an embodiment of the present disclosure. As shown in fig. 2, the apparatus includes:
the acquiring module 201 is configured to acquire, every time a preset statistical period passes, abnormal information uploaded by a target production line in the statistical period;
an adjusting module 202, configured to set a routing inspection key area based on an abnormal process position corresponding to each piece of abnormal information, and adjust a stored routing inspection route based on the routing inspection key area, so that the adjusted routing inspection route covers all routing inspection key areas;
and the updating module 203 is used for updating the current routing inspection routes of the routing inspection units on the target production line based on the adjusted routing inspection routes.
In one possible implementation, the adjustment module 202 includes:
and the setting unit is used for determining the abnormal process positions corresponding to the abnormal information, respectively acquiring the process track areas corresponding to the abnormal process positions from a preset database, and setting the process track areas as routing inspection key areas.
In one possible implementation, the adjusting module 202 further includes:
the first determining unit is used for determining the occurrence frequency of abnormal information of each routing inspection key area and distributing area routing inspection weights for the routing inspection key areas based on the occurrence frequency of the abnormal information;
the adjusting unit is used for adjusting the stored routing inspection route based on the routing inspection key area, so that the routing inspection route after adjustment covers all the routing inspection key area, and the routing inspection speed of the routing inspection unit corresponding to the routing inspection key area is lower when the routing inspection weight is higher.
In one embodiment, the first determining unit comprises:
the first weight determining element is used for determining a first area patrol inspection weight corresponding to the patrol inspection key area based on the occurrence frequency of the abnormal information, and the first area patrol inspection weight is positively correlated with the occurrence frequency of the abnormal information;
a second weight determining element, configured to determine a second area patrol inspection weight corresponding to the patrol inspection key area based on an abnormal information occurrence interval, where the abnormal information occurrence interval is a time interval between the last occurrence of the abnormal information and the current time, and the second area patrol inspection weight is negatively correlated with the abnormal information occurrence interval;
and the calculation element is used for calculating the sum of the first area inspection weight and the second area inspection weight to obtain an area inspection weight, and distributing the area inspection weight to the inspection key area.
In one implementation, the update module 203 includes:
the second determining unit is used for respectively determining the current remaining routing inspection routes of all the routing inspection units;
the first judging unit is used for updating the current patrol route in real time based on the adjusted patrol route when the proportion of the current remaining patrol route to the current patrol route of the patrol unit is lower than a preset proportion and any patrol key area does not exist in the current remaining patrol route;
and the second judgment unit is used for updating the current routing inspection route based on the adjusted routing inspection route after the routing inspection unit finishes the current remaining routing inspection route when the proportion of the current remaining routing inspection route to the current routing inspection route of the routing inspection unit is not lower than the preset proportion or any routing inspection key area exists in the current remaining routing inspection route.
It is clear to a person skilled in the art that the solution according to the embodiments of the present application can be implemented by means of software and/or hardware. The term "unit" and "module" in this specification refers to software and/or hardware capable of performing a specific function independently or in cooperation with other components, wherein the hardware may be, for example, a Field-Programmable Gate Array (FPGA), an Integrated Circuit (IC), or the like.
Each processing unit and/or module in the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.
Referring to fig. 3, a schematic structural diagram of an electronic device according to an embodiment of the present application is shown, where the electronic device may be used to implement the method in the embodiment shown in fig. 1. As shown in fig. 3, the electronic device 300 may include: at least one central processor 301, at least one network interface 304, a user interface 303, a memory 305, at least one communication bus 302.
Wherein the communication bus 302 is used to enable connection communication between these components.
The user interface 303 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 303 may further include a standard wired interface and a wireless interface.
The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
The central processor 301 may include one or more processing cores. The central processor 301 connects various parts within the entire electronic device 300 using various interfaces and lines, and performs various functions of the terminal 300 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and calling data stored in the memory 305. Alternatively, the central Processing unit 301 may be implemented in at least one hardware form of Digital Signal Processing (DSP), field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The Central Processing Unit 301 may integrate one or a combination of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the cpu 301, but may be implemented by a single chip.
The Memory 305 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable medium. The memory 305 may be used to store instructions, programs, code sets, or instruction sets. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 305 may alternatively be at least one storage device located remotely from the central processor 301. As shown in fig. 3, memory 305, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and program instructions.
In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user to obtain data input by the user; the central processor 301 may be configured to invoke the patrol route optimization application of the patrol unit stored in the memory 305, and specifically perform the following operations:
acquiring abnormal information uploaded by a target production line in a preset statistical period every time the preset statistical period passes;
setting a routing inspection key area based on the abnormal process position corresponding to each abnormal information, and adjusting a stored routing inspection route based on the routing inspection key area so as to enable the adjusted routing inspection route to cover all the routing inspection key areas;
and updating the current routing inspection route of each routing inspection unit on the target production line based on the adjusted routing inspection route.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the above-mentioned method. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple 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 of some service interfaces, devices or units, and may be an electrical 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.
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 may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program, which is stored in a computer-readable memory, and the memory may include: flash disks, read-Only memories (ROMs), random Access Memories (RAMs), magnetic or optical disks, and the like.
The above description is merely an exemplary embodiment of the present disclosure, and the scope of the present disclosure is not limited thereto. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure are intended to be included within the scope of the present disclosure. Embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (8)
1. A routing inspection route optimization method of a routing inspection unit is characterized by comprising the following steps:
acquiring abnormal information uploaded by a target production line in a preset statistical period every time the preset statistical period passes;
setting routing inspection key areas based on abnormal process positions corresponding to the abnormal information, and adjusting stored routing inspection routes based on the routing inspection key areas so that the adjusted routing inspection routes cover all the routing inspection key areas;
and updating the current routing inspection route of each routing inspection unit on the target production line based on the adjusted routing inspection route.
2. The method according to claim 1, wherein the setting of the inspection focus area based on the abnormal process position corresponding to each piece of abnormal information includes:
and determining abnormal process positions corresponding to the abnormal information, respectively acquiring process track areas corresponding to the abnormal process positions from a preset database, and setting the process track areas as routing inspection key areas.
3. The method according to claim 1, wherein the adjusting the stored patrol route based on the patrol emphasis areas so that the adjusted patrol route covers all of the patrol emphasis areas comprises:
determining the occurrence frequency of abnormal information of each routing inspection key area, and distributing area routing inspection weight for the routing inspection key area based on the occurrence frequency of the abnormal information;
and adjusting the stored routing inspection route based on the routing inspection key area so as to enable the adjusted routing inspection route to cover all the routing inspection key area, wherein the higher the routing inspection weight of the area is, the lower the routing inspection speed of the routing inspection unit corresponding to the routing inspection key area is.
4. The method according to claim 3, wherein the allocating region patrol weight to the patrol inspection key region based on the abnormal information occurrence number comprises:
determining a first area polling weight corresponding to the polling key area based on the abnormal information occurrence frequency, wherein the first area polling weight is positively correlated with the abnormal information occurrence frequency;
determining a second area polling weight corresponding to the polling key area based on an abnormal information occurrence interval, wherein the abnormal information occurrence interval is a time interval between the last occurrence of the abnormal information and the current moment, and the second area polling weight is in negative correlation with the abnormal information occurrence interval;
and calculating the sum of the first region inspection weight and the second region inspection weight to obtain a region inspection weight, and distributing the region inspection weight to the inspection key region.
5. The method of claim 1, wherein updating the current routing inspection route of each routing inspection unit on the destination production line based on the adjusted routing inspection route comprises:
respectively determining the current remaining routing inspection routes of all the routing inspection units;
when the proportion of the current remaining routing inspection route in the current routing inspection route of the routing inspection unit is lower than a preset proportion and any routing inspection key area does not exist in the current remaining routing inspection route, updating the current routing inspection route in real time based on the adjusted routing inspection route;
and when the proportion of the current remaining patrol route in the current patrol route of the patrol unit is not lower than a preset proportion or any patrol key area exists in the current remaining patrol route, after the patrol unit finishes the current remaining patrol route, updating the current patrol route based on the adjusted patrol route.
6. An inspection route optimization device of an inspection unit, the device comprising:
the acquisition module is used for acquiring the abnormal information uploaded by the target production line in a preset statistical period each time;
the adjusting module is used for setting a routing inspection key area based on the abnormal process position corresponding to each abnormal information, and adjusting a stored routing inspection route based on the routing inspection key area so that the adjusted routing inspection route covers all routing inspection key areas;
and the updating module is used for updating the current routing inspection routes of the routing inspection units on the target production line based on the adjusted routing inspection routes.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-5 when executing the computer program.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211064341.6A CN115509184A (en) | 2022-09-01 | 2022-09-01 | Inspection route optimization method and device of inspection unit and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211064341.6A CN115509184A (en) | 2022-09-01 | 2022-09-01 | Inspection route optimization method and device of inspection unit and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115509184A true CN115509184A (en) | 2022-12-23 |
Family
ID=84501634
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211064341.6A Pending CN115509184A (en) | 2022-09-01 | 2022-09-01 | Inspection route optimization method and device of inspection unit and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115509184A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115909533A (en) * | 2023-02-02 | 2023-04-04 | 北京神州光大科技有限公司 | System safety inspection method and related device |
| CN116485065A (en) * | 2023-06-21 | 2023-07-25 | 成都秦川物联网科技股份有限公司 | Pipe network inspection management method based on intelligent gas GIS and Internet of things system |
| US11977827B2 (en) | 2023-06-21 | 2024-05-07 | Chengdu Qinchuan Iot Technology Co., Ltd. | Methods, internet of things systems, and storage mediums for management of pipeline network inspection based on smart gas geographic information systems |
-
2022
- 2022-09-01 CN CN202211064341.6A patent/CN115509184A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115909533A (en) * | 2023-02-02 | 2023-04-04 | 北京神州光大科技有限公司 | System safety inspection method and related device |
| CN116485065A (en) * | 2023-06-21 | 2023-07-25 | 成都秦川物联网科技股份有限公司 | Pipe network inspection management method based on intelligent gas GIS and Internet of things system |
| CN116485065B (en) * | 2023-06-21 | 2023-09-08 | 成都秦川物联网科技股份有限公司 | Pipe network inspection management method based on intelligent gas GIS and Internet of things system |
| US11977827B2 (en) | 2023-06-21 | 2024-05-07 | Chengdu Qinchuan Iot Technology Co., Ltd. | Methods, internet of things systems, and storage mediums for management of pipeline network inspection based on smart gas geographic information systems |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115509184A (en) | Inspection route optimization method and device of inspection unit and electronic equipment | |
| CN109685295B (en) | Cargo collecting and dispatching method and device, storage medium and electronic equipment | |
| CN110221145B (en) | Power equipment fault diagnosis method and device and terminal equipment | |
| CN111008805B (en) | Method and device for determining time to throw, storage medium and electronic equipment | |
| CN113627792B (en) | Unmanned vehicle scheduling management method, device, equipment, storage medium and program | |
| CN110347694B (en) | Equipment monitoring method, device and system based on Internet of things | |
| US20210336852A1 (en) | Network-configuration-information generation method and communication device | |
| CN110738744A (en) | data supervision method and device | |
| CN110046178A (en) | The method and apparatus of distributed data inquiry | |
| CN112148779A (en) | Method, device and storage medium for determining service index | |
| CN115357629A (en) | Processing method, system, electronic device and storage medium for financial data stream | |
| CN109618281B (en) | High-speed rail cell identification method and device | |
| JP7039652B2 (en) | Abnormal server service processing method and equipment | |
| CN114201346A (en) | HIL (hardware-in-the-loop) testing method and device of CAN (controller area network) communication interface and electronic equipment | |
| CN110337118B (en) | Method and device for quickly processing user complaints | |
| CN115220445A (en) | Inspection control method and device of inspection unit and electronic equipment | |
| CN115576315A (en) | Abnormity inspection method and device of inspection unit and electronic equipment | |
| CN117009221A (en) | Processing method, device, equipment, storage medium and program product for product test | |
| CN115421454A (en) | Multi-vehicle cooperative control method and device | |
| CN113238911B (en) | Alarm processing method and device | |
| CN115293676A (en) | Carrier moving path optimization method and device and electronic equipment | |
| CN115293677A (en) | Carrier moving path optimization method and device and electronic equipment | |
| CN115542895A (en) | Abnormal inspection control method and device of inspection unit and electronic equipment | |
| CN115576314A (en) | Fault position determination method and device of inspection unit and electronic equipment | |
| CN113656046A (en) | Application deployment method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |