CN115330293A - Multi-target exception handling method and device based on screening lines and electronic equipment - Google Patents

Multi-target exception handling method and device based on screening lines and electronic equipment Download PDF

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CN115330293A
CN115330293A CN202210765100.8A CN202210765100A CN115330293A CN 115330293 A CN115330293 A CN 115330293A CN 202210765100 A CN202210765100 A CN 202210765100A CN 115330293 A CN115330293 A CN 115330293A
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detection
result information
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翁端文
褚如昶
吕新
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INA Intelligent Technology Zhejiang Co Ltd
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INA Intelligent Technology Zhejiang Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0833Tracking
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V8/00Prospecting or detecting by optical means
    • G01V8/10Detecting, e.g. by using light barriers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V9/00Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0836Recipient pick-ups

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Abstract

The invention discloses a multi-target exception handling method, a device and electronic equipment based on a screening line, wherein the method comprises the steps of continuously acquiring detection data uploaded by each detection terminal preset on the screening line, and analyzing the detection data to obtain detection result information; when the abnormal detection result information exists, determining and marking a target cell corresponding to the abnormal detection result information; all target carriers of the target cells are input into a buffer temporary storage area closest to the target cells, and the target carriers in the buffer temporary storage area are output to the idle cells of the screening line one by one. The invention realizes that the abnormal cells with the multi-packet condition can be automatically input into the buffer temporary storage area, and the plurality of packages are output to different idle cells again by the buffer temporary storage area, so that the abnormal conditions can be automatically and timely processed when the multi-packet abnormal conditions occur on the screening line, and the multi-packet abnormal condition processing efficiency is high.

Description

Multi-target exception handling method and device based on screening line and electronic equipment
Technical Field
The application relates to the technical field of automatic control, in particular to a multi-target exception handling method and device based on a screening line and electronic equipment.
Background
In the supermarket logistics transportation process, goods to be subpackaged, packaged and delivered out of a warehouse are transported through a screening line of a suspension chain system. The screening line consists of format chains, and normally, only one hung parcel should exist in each format chain so as to ensure that each parcel can be conveyed and distributed to a correct packaging and delivery position. In actual conditions, due to the reasons of errors of the hanging track structure, low recognition accuracy of the sensor, manual hanging and the like, more than two packages exist in the format chain serving as a cell at the same time, and further the problems of wrong distribution of subsequent packages, blockage of distribution threads and the like are caused. At present, the multi-package condition is generally that the package is manually found when being conveyed to a packing and delivery person, and the abnormal package cannot be automatically processed in time when the abnormality occurs, so that the abnormal processing efficiency of the multi-package condition in the actual condition is low.
Disclosure of Invention
In order to solve the above problems, embodiments of the present application provide a multi-target exception handling method and apparatus based on a screening line, and an electronic device.
In a first aspect, an embodiment of the present application provides a multi-target exception handling method based on a screening line, where the method includes:
continuously acquiring detection data uploaded by each detection terminal preset on a screening line, and analyzing the detection data to obtain detection result information;
when the abnormal detection result information exists, determining and marking a target cell corresponding to the abnormal detection result information;
and inputting all target carriers of the target cells into a buffer temporary storage area closest to the target cells, and outputting the target carriers in the buffer temporary storage area to the idle cells of the screening line one by one.
Preferably, the detection terminal comprises a first detection sensor and a second detection sensor which are vertically distributed from top to bottom, and the detection data comprises first detection data acquired by the first detection sensor and second detection data acquired by the second detection sensor;
analyzing the detection data to obtain detection result information, including:
determining an area interval corresponding to the first detection data detected twice by the same first detection sensor as a detection area;
and counting the detection number of the second detection data in each detection area, and generating detection result information based on the detection number.
Preferably, the detection terminal includes a second detection sensor, and the detection data includes second detection data acquired by the second detection sensor;
analyzing the detection data to obtain detection result information, wherein the analysis comprises the following steps:
acquiring a preset statistical time period, wherein the statistical time period comprises a format chain time interval and a non-format chain time interval, the format chain time interval corresponds to a format chain region, and the non-format chain time interval corresponds to a non-format chain region;
and respectively counting the detection number corresponding to the second detection data in the format chain area and the non-format chain area, and generating detection result information based on the detection number.
Preferably, the detection result information includes normal detection result information and the abnormal detection result information;
the generating of the detection result information based on the detection number includes:
when the detection number is not more than one, generating normal detection result information;
and when the detection number is not less than two, generating abnormal detection result information.
Preferably, when there is abnormality detection result information, determining and marking a target cell corresponding to the abnormality detection result information includes:
when the abnormal detection result information exists, determining abnormal detection data corresponding to the abnormal detection result information;
and determining a target cell corresponding to the abnormal detection data based on the transportation speed of the screening line and the data detection time of the abnormal detection data, and marking the target cell.
Preferably, the outputting each target carrier in the buffer area to an idle cell of the screening line one by one includes:
determining an idle cell without a hanging carrier based on each detection data;
and outputting the target carrier closest to the outlet in the buffer area to the free cell when the free cell passes through the buffer area until all the target carriers in the buffer area are output.
In a second aspect, an embodiment of the present application provides a multiple target exception handling apparatus based on a screening line, where the apparatus includes:
the acquisition module is used for continuously acquiring detection data uploaded by each detection terminal preset on the screening line and analyzing the detection data to obtain detection result information;
the marking module is used for determining and marking a target cell corresponding to the abnormal detection result information when the abnormal detection result information exists;
and the control module is used for inputting all the target carriers of the target cells into a buffer temporary storage area closest to the target cells and outputting the target carriers in the buffer temporary storage area to the idle cells of the screening line one by one.
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: can detect the discernment to the many packages condition in the cell automatically in screening line logistics transmission process, and to the unusual cell that has appeared many packages condition, will import it to the buffer temporary storage area automatically to borrow by the buffer temporary storage area with a plurality of parcels exports again to different idle cells, can be automatic and timely when many packages abnormal conditions appear in the screening line handle the anomaly, many packages abnormal conditions handling efficiency is high.
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 multi-target exception handling method based on a screening line according to an embodiment of the present application;
fig. 2 is a schematic view illustrating a structure of a screening line system according to an embodiment of the present application;
FIG. 3 is a schematic view of another exemplary structure of a screening line system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a multi-target exception handling apparatus based on a screening line according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
1-detection terminal, 2-detection sensor, 3-support and 4-hanging package.
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, where different embodiments may be substituted or combined, and thus the present application is intended to include 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 flowchart of a multi-target exception handling method based on a screening line according to an embodiment of the present application. In an embodiment of the present application, the method includes:
s101, continuously acquiring detection data uploaded by each detection terminal preset on a screening line, and analyzing the detection data to obtain detection result information.
The execution subject of the application can be a cloud server.
In this application embodiment, be used for carrying will be provided with a plurality of detection terminal in advance at the different positions of screening line on the screening line of the parcel of hanging of being about to shipment, the high in the clouds server will continuously acquire the testing data that each detection terminal uploaded to carry out the analysis to the testing data who acquires, generate testing result information, so that follow-up direct judgement whether there is many packages condition according to testing result information.
In an implementation manner, the detection terminal includes a first detection sensor and a second detection sensor which are vertically distributed from top to bottom, and the detection data includes first detection data acquired by the first detection sensor and second detection data acquired by the second detection sensor;
analyzing the detection data to obtain detection result information, including:
determining an area interval corresponding to the first detection data detected twice by the same first detection sensor as a detection area;
and counting the detection number of the second detection data in each detection area, and generating detection result information based on the detection number.
The detection area can be understood as a cell area on the screening line for placing the hanging parcel 4 in the embodiment of the present application. To ensure that each hanging package 4 can be sorted to the correct delivery location, there should be at most one hanging package 4 in one detection area. The detection area is formed by connecting two support columns 3 with the track, and the carrier corresponding to the hanging package 4 is placed on the bearing column between the two support columns of the detection area.
In the embodiment of the present application, as shown in fig. 2, a plurality of detection sensors 2 may be vertically distributed in the detection terminal 1, and the detection sensors 2 may be infrared sensors. Taking two detection sensors 2 as an example, the detection terminal 1 is respectively provided with a first detection sensor and a second detection sensor from top to bottom. The cloud server first determines the detection area according to the first detection data detected by the first detection sensor, specifically, when the pillar 3 moves to the detection terminal 1, the infrared ray sent by the first detection sensor is stopped, and then the first detection data is generated, so the cloud server determines the detection area through the time interval of continuously detecting the first detection data. In addition, the second detection sensor can be used for detecting the hanging parcel 4, and when the hanging parcel 4 moves to the detection terminal 1, the infrared ray sent by the second detection sensor is stopped, and then the second detection data is generated. Therefore, the cloud server counts the number of second detection data acquired between two adjacent first detection data corresponding to the detection area in the detection area, and generates detection result information based on the number of second detection data acquired between two adjacent first detection data corresponding to the detection area.
In one possible implementation manner, the detection terminal includes a second detection sensor, and the detection data includes second detection data collected by the second detection sensor;
analyzing the detection data to obtain detection result information, including:
acquiring a preset statistical time period, wherein the statistical time period comprises a format chain time interval and a non-format chain time interval, the format chain time interval corresponds to a format chain region, and the non-format chain time interval corresponds to a non-format chain region;
and respectively counting the detection number corresponding to the second detection data in the format chain area and the non-format chain area, and generating detection result information based on the detection number.
In the embodiment of the present application, as shown in fig. 3, only one second detection sensor for detecting the hanging package 4 may be disposed in the detection terminal 1, and the second detection sensor may be an infrared sensor. Because the lengths of the format chain region and the non-format chain region are fixed and the distribution of the format chain region and the non-format chain region is regular, the statistical time period can be set in advance according to the initial state of the screening line, and the format chain time interval and the non-format chain time interval can be determined through the statistical time period. For example, the statistical time period is 0.7s, where the first 0.2s is the non-trellis chain time interval and the last 0.5s is the trellis chain time interval. Alternatively, the first 0.1s and the last 0.1s may be the non-trellis time interval, and the middle 0.5s may be the trellis time interval. After the statistical time period is determined, the current region type can be determined directly according to the running time of the screening line, and then the detection result information is generated by combining the detection number of the second detection data in the time period.
In one implementation, the detection result information includes normal detection result information and the abnormal detection result information;
the generating of the detection result information based on the detection number comprises:
when the detection number is not more than one, generating normal detection result information;
and when the detection number is not less than two, generating abnormal detection result information.
In the embodiment of the present application, the detection result information is divided into two types, one is normal detection result information, and the other is abnormal detection result information. Under normal conditions, at most only one hanging parcel 4 should exist in the format chain, so that the detection result information generated correspondingly under the condition that the detection quantity is not more than one is taken as normal detection result information, and otherwise, the detection result information is taken as abnormal detection result information.
S102, when the abnormal detection result information exists, determining and marking the target cell corresponding to the abnormal detection result information.
The anomaly detection result information can be understood as detection result information representing anomaly in result in the embodiment of the application.
In the embodiment of the present application, if there is abnormal detection result information in the detection result information obtained in the foregoing process, it indicates that a multi-packet abnormal condition occurs. In order to automatically handle multiple packets of anomalies, the cloud server needs to confirm and mark the target cells in which the anomaly detection result information appears. The target cell may be a trellis chain region or a non-trellis chain region.
In one possible implementation, step S102 includes:
when the abnormal detection result information exists, determining abnormal detection data corresponding to the abnormal detection result information;
and determining a target cell corresponding to the abnormal detection data based on the transportation speed of the screening line and the data detection time of the abnormal detection data, and marking the target cell.
The abnormal detection data can be understood as detection data corresponding to abnormal detection result information in the embodiment of the application.
In the embodiment of the application, since the detection result information is obtained according to the detection data, the transportation speed of the screening line is also fixed and determined. Therefore, according to the running speed of the screening line and the data detection time of the collected abnormal detection data, the unit cell of a plurality of abnormal problems can be determined and marked so as to continuously track the position of the abnormal problem.
S103, all the target carriers of the target cells are input into a buffer temporary storage area closest to the target cells, and the target carriers in the buffer temporary storage area are output to the idle cells of the screening line one by one.
In the embodiment of the application, the sorting line is connected with a plurality of buffer temporary storage areas besides the corresponding sorting and packing channel tracks. The hanging parcel is hung on the hanging carrier, and the buffer temporary storage area can be a section of semicircular track and is used for conveying the hanging carrier with a plurality of abnormal parcels back to the screening line after being buffered by the buffer temporary storage area. Specifically, the buffer storage area closest to the target cell is determined, and when the target cell moves to the buffer storage area, the cloud server tracks the hanging carrier in the control target cell into the buffer storage area. Then, the cloud server determines that no idle cell on the screening line is hung with a hanging carrier, so that the target carriers in the buffer temporary storage area are output to different idle cells one by one, separation of multiple carriers in the same cell is realized, multiple packages of abnormal conditions can be processed independently when multiple packages of abnormal conditions occur, and the cells finally output to a sorting position are guaranteed to be normal.
In one embodiment, the outputting each target vehicle in the buffer to a free cell of the screening line one by one includes:
determining free cells without hanging carriers based on the detection data;
and outputting the target carrier closest to the outlet in the buffer area to the free cell when the free cell passes through the buffer area until all the target carriers in the buffer area are output.
In the embodiment of the present application, as can be seen from the foregoing process, each cell passes through, the multiple abnormal packets are determined according to the detection data, and this process can also be used to determine whether there is a hanging carrier in the cell, so as to determine an idle cell. When the free cell passes through the buffer area, the cloud server controls a target carrier in the buffer area to be output to the free cell. By repeating the process, the target carriers can be respectively output to different idle cells so as to realize the processing of the multi-packet exception.
The multi-target abnormality processing apparatus based on a screening line provided in the embodiment of the present application will be described in detail below with reference to fig. 4. It should be noted that, the multi-target exception handling apparatus based on the screening line shown in fig. 4 is used for executing the method of the embodiment shown in fig. 1 of the present application, and for convenience of description, only the portion related to the embodiment of the present application is shown, and details of the technology are not disclosed, please refer to the embodiment shown in fig. 1 of the present application.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a multi-target exception handling device based on a screening line according to an embodiment of the present application. As shown in fig. 4, the apparatus includes:
the acquisition module 401 is configured to continuously acquire detection data uploaded by each detection terminal preset on the screening line, and analyze the detection data to obtain detection result information;
a marking module 402, configured to, when there is abnormality detection result information, determine and mark a target cell corresponding to the abnormality detection result information;
the control module 403 is configured to input all target carriers of the target cells into a buffer temporary storage area closest to the target cells, and output each target carrier in the buffer temporary storage area to an idle cell of the screening line one by one.
In an implementation manner, the detection terminal includes a first detection sensor and a second detection sensor which are vertically distributed from top to bottom, and the detection data includes first detection data acquired by the first detection sensor and second detection data acquired by the second detection sensor;
the obtaining module 401 includes:
a first detection unit, configured to determine, as a detection area, an area section corresponding to the first detection data detected twice consecutively by the same first detection sensor;
and the counting unit is used for counting the detection quantity of the second detection data in each detection area and generating detection result information based on the detection quantity.
In an implementation manner, the detection terminal comprises a second detection sensor, and the detection data comprises second detection data acquired by the second detection sensor;
the obtaining module 401 includes:
the second detection unit is used for acquiring a preset statistical time period, wherein the statistical time period comprises a format chain time interval and a non-format chain time interval, the format chain time interval corresponds to a format chain area, and the non-format chain time interval corresponds to a non-format chain area;
and the counting unit is used for respectively counting the detection quantity corresponding to the second detection data in the format chain area and the non-format chain area and generating detection result information based on the detection quantity.
In one possible embodiment, the statistical unit comprises:
a first generation element configured to generate normal detection result information when the detection number is not more than one;
a second generating element for generating abnormality detection result information when the detection number is not less than two.
In one possible implementation, the tagging module 402 includes:
a first determining unit configured to determine abnormality detection data corresponding to abnormality detection result information when the abnormality detection result information exists;
and the marking unit is used for determining a target cell corresponding to the abnormal detection data based on the transportation speed of the screening line and the data detection time of the abnormal detection data and marking the target cell.
In one possible implementation, the control module 403 includes:
a second determination unit configured to determine, based on each of the detection data, an empty cell in which the overhead carrier does not exist;
and the output unit is used for outputting the target carrier closest to the outlet in the buffer storage area to the idle cell when the idle cell passes through the buffer storage area until all the target carriers in the buffer storage area are output.
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 "unit" and "module" in this specification refer to software and/or hardware that can perform a specific function independently or in cooperation with other components, where 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. 5, 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. 5, the electronic device 500 may include: at least one central processor 501, at least one network interface 504, a user interface 503, a memory 505, at least one communication bus 502.
Wherein a communication bus 502 is used to enable connective communication between these components.
The user interface 503 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 503 may also include a standard wired interface and a wireless interface.
The network interface 504 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
The central processor 501 may include one or more processing cores. The central processor 501 connects various parts within the entire electronic device 500 using various interfaces and lines, and performs various functions of the terminal 500 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 505 and calling data stored in the memory 505. Optionally, the central Processing unit 501 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 501 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 to be understood that the modem may not be integrated into the central processing unit 501, and may be implemented by a single chip.
The Memory 505 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 505 includes a non-transitory computer-readable medium. The memory 505 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 505 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 505 may alternatively be at least one memory device located remotely from the aforementioned central processor 501. As shown in fig. 5, memory 505, which is a type of computer storage medium, may include an operating system, a network communications module, a user interface module, and program instructions.
In the electronic device 500 shown in fig. 5, the user interface 503 is mainly used as an interface for providing input for a user, and acquiring data input by the user; the central processor 501 may be configured to call the multi-target exception handling application program based on the filtered line stored in the memory 505, and specifically perform the following operations:
continuously acquiring detection data uploaded by each detection terminal preset on a screening line, and analyzing the detection data to obtain detection result information;
when the abnormal detection result information exists, determining and marking a target cell corresponding to the abnormal detection result information;
and inputting all target carriers of the target cell into a buffer temporary storage area closest to the target cell, and outputting each target carrier in the buffer temporary storage area to the idle cell of the screening line one by one.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVDs, 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 embodiments of the method are described as a series of acts, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present 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 embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. 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 position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable 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 disclosure will be 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 (9)

1. A multi-target exception handling method based on a screening line is characterized by comprising the following steps:
continuously acquiring detection data uploaded by each detection terminal preset on a screening line, and analyzing the detection data to obtain detection result information;
when the abnormal detection result information exists, determining and marking a target cell corresponding to the abnormal detection result information;
and inputting all target carriers of the target cell into a buffer temporary storage area closest to the target cell, and outputting each target carrier in the buffer temporary storage area to the idle cell of the screening line one by one.
2. The method according to claim 1, wherein the detection terminal comprises a first detection sensor and a second detection sensor which are vertically distributed from top to bottom, and the detection data comprises first detection data acquired by the first detection sensor and second detection data acquired by the second detection sensor;
analyzing the detection data to obtain detection result information, including:
determining an area interval corresponding to the first detection data detected by the same first detection sensor twice continuously as a detection area;
and counting the detection number of the second detection data in each detection area, and generating detection result information based on the detection number.
3. The method of claim 1, wherein the detection terminal comprises a second detection sensor, and the detection data comprises second detection data collected by the second detection sensor;
analyzing the detection data to obtain detection result information, including:
acquiring a preset statistical time period, wherein the statistical time period comprises a format chain time interval and a non-format chain time interval, the format chain time interval corresponds to a format chain region, and the non-format chain time interval corresponds to a non-format chain region;
and respectively counting the detection number corresponding to the second detection data in the format chain area and the non-format chain area, and generating detection result information based on the detection number.
4. The method according to any one of claims 2 or 3, wherein the detection result information includes normal detection result information, the abnormality detection result information;
the generating of the detection result information based on the detection number includes:
when the detection number is not more than one, generating normal detection result information;
and when the detection number is not less than two, generating abnormal detection result information.
5. The method according to claim 1, wherein the determining and marking the target cell corresponding to the abnormal detection result information when the abnormal detection result information exists comprises:
when the abnormal detection result information exists, determining abnormal detection data corresponding to the abnormal detection result information;
and determining a target cell corresponding to the abnormal detection data based on the transportation speed of the screening line and the data detection time of the abnormal detection data, and marking the target cell.
6. The method of claim 1, wherein the outputting each target vehicle in the buffer to a free cell of the screening line one by one comprises:
determining an idle cell without a hanging carrier based on each detection data;
and outputting the target carrier closest to the outlet in the buffer area to the idle cell every time when the idle cell passes through the buffer area until all the target carriers in the buffer area are output.
7. A screen-line-based multi-target exception handling apparatus, the apparatus comprising:
the acquisition module is used for continuously acquiring detection data uploaded by each detection terminal preset on the screening line and analyzing the detection data to obtain detection result information;
the marking module is used for determining and marking a target cell corresponding to the abnormal detection result information when the abnormal detection result information exists;
and the control module is used for inputting all the target carriers of the target cells into a buffer temporary storage area closest to the target cells and outputting each target carrier in the buffer temporary storage area to the idle cells of the screening line one by one.
8. 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 steps of the method according to any of claims 1-6 are implemented when the computer program is executed by the processor.
9. 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 6.
CN202210765100.8A 2022-07-01 2022-07-01 Multi-target exception handling method and device based on screening lines and electronic equipment Pending CN115330293A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023236546A1 (en) * 2022-06-07 2023-12-14 浙江衣拿智能科技股份有限公司 Multi-target detection method and apparatus based on screening line, and electronic device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023236546A1 (en) * 2022-06-07 2023-12-14 浙江衣拿智能科技股份有限公司 Multi-target detection method and apparatus based on screening line, and electronic device

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