CN111717618B - Express delivery bubble counting method and device, computer equipment and storage medium - Google Patents
Express delivery bubble counting method and device, computer equipment and storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
- B65G43/08—Control devices operated by article or material being fed, conveyed or discharged
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2201/00—Indexing codes relating to handling devices, e.g. conveyors, characterised by the type of product or load being conveyed or handled
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Abstract
本发明公开了一种快递计泡方法、装置、计算机设备即存储介质，该方法包括：获取流经计泡装置下方的流水线上的各个包裹的包裹信息以及包裹图像，通过预先训练的深度学习模型对包裹图像进行识别，获取当前包裹的数量信息以及包装信息，根据数量信息以及第一预设阈值判断包裹信息是否有效，若包裹信息有效，则根据包裹信息确定计算当前包裹的计费重量的目标计算规则，根据包裹信息、包装信息以及目标计算规则计算获取当前包裹的计费重量。本发明解决了现有计泡机体积测量技术对货物外包装敏感(特别是当货物包装为纤麻袋等材质时)的问题，提高了包括计费重量数据的有效性。
The invention discloses a method, device and computer equipment for expressing bubble counting, namely a storage medium. The method includes: obtaining package information and package images of each package flowing through an assembly line below the bubble counting device, and obtaining package information and package images through a pre-trained deep learning model. Identify the package image, obtain the quantity information and packaging information of the current package, and determine whether the package information is valid according to the quantity information and the first preset threshold. If the package information is valid, determine the target of calculating the billable weight of the current package according to the package information Calculation rules: Calculate and obtain the billable weight of the current package according to the package information, packaging information and target calculation rules. The invention solves the problem that the existing bubble counter volume measurement technology is sensitive to the outer packaging of the goods (especially when the goods are packaged with materials such as fiber sacks), and improves the effectiveness of including the billing weight data.
Description
Technical Field
The invention relates to the technical field of physical express charging, in particular to an express bubble counting method, an express bubble counting device, computer equipment and a storage medium.
Background
With the rapid development of the logistics industry, the number of packages is increasing day by day. The express bubble counting means that the larger of the volume weight and the actual weight of the mail is taken as the charging weight, and then the mail fee to be charged is calculated according to the charge standard. Because the manual measurement sometimes has errors, the bubble counter is used for directly calculating the freight fee by measuring the length, width, height and weight of the goods. With the rapid development of express logistics, the bubble counting machine is widely used in the industry. Usually, express delivery logistics enterprise adopts and erects the mode on automatic assembly line with the meter bubble machine, sweeps yard, measurement weight and volume automatically to the goods of assembly line to this parcel freight of settlement circulation.
In the operation process of the bubble counting machine, when the package runs to the position of the photoelectric sensor of the bubble counting machine, the bubble counting machine starts to scan and measure the package. The front and back packages are judged through photoelectric triggering to drive a belt below the bubble counting machine to start and stop, so that the front packages pass through, the back packages stop, and single-row package passing equipment is realized.
The above approach generally suffers from the following drawbacks:
1. the existing bubble counter volume measurement technology is sensitive to external packing of goods, particularly when the goods are packed by materials such as fiber sacks and the like, the validity of volume measurement data is greatly reduced, and the data is greatly disputed in multi-party settlement;
2. when the flow of packages on the production line is multiplied to cause package congestion, package adhesion is easy to occur, a plurality of packages can be judged as one package by photoelectric induction, and the scanning measurement data of the bubble counting machine is failure data;
3. when a package is jammed, the working mode of starting and stopping the bubble counting machine aggravates the field jam, the processing timeliness of a rear-end process is greatly influenced, the existing solution mode depends on the operation mode (such as a normal working mode, a direct-connection mode and the like) of a manual switching assembly line after artificial judgment, and the artificial processing has hysteresis.
Disclosure of Invention
In order to solve the problems in the prior art, embodiments of the present invention provide an express bubble counting method, an express bubble counting device, a computer device, and a storage medium, so as to overcome the problems that whether scanned measurement data of a bubble counter is valid cannot be determined, and when a package is congested, the operation mode of a production line cannot be switched in time, and the like in the prior art.
In order to solve one or more technical problems, the invention adopts the technical scheme that:
in a first aspect, a method for express bubble counting is provided, which includes the following steps:
acquiring package information and package images of all packages flowing through a production line below the bubble counting device;
identifying the parcel images through a pre-trained deep learning model to obtain the quantity information and the packaging information of the current parcels;
judging whether the package information is effective or not according to the quantity information and a first preset threshold value;
if the parcel information is valid, determining a target calculation rule for calculating the charging weight of the current parcel according to the parcel information;
and calculating and acquiring the charging weight of the current package according to the package information, the packaging information and the target calculation rule.
Further, the determining whether the package information is valid according to the quantity information and a first preset threshold includes:
and judging whether the quantity information meets the first preset threshold value, if so, judging that the package information is valid, and otherwise, judging that the package information is invalid.
Further, the method further comprises:
calculating and acquiring the package flow which flows through the assembly line below the bubble counting device at present according to the quantity information;
and automatically switching the operation mode of the assembly line according to the parcel flow and a second preset threshold value.
Further, the automatically switching the operation mode of the assembly line according to the parcel flow and a second preset threshold includes:
and comparing the parcel flow with the second preset threshold, if the parcel flow is greater than the second preset threshold, switching the operation mode of the assembly line to a direct connection mode, and otherwise, switching the operation mode of the assembly line to a normal working mode.
In a second aspect, there is provided a courier bubble counting device, the device comprising:
the first acquisition module is used for acquiring the parcel information and parcel images of all parcels flowing through the assembly line below the bubble counting device;
the second acquisition module is used for identifying the parcel images through a pre-trained deep learning model and acquiring the quantity information and the packaging information of the current parcels;
the information judgment module is used for judging whether the package information is effective or not according to the quantity information and a first preset threshold;
the rule obtaining module is used for determining a target calculation rule for calculating the charging weight of the current package according to the package information;
and the weight calculation module is used for calculating and acquiring the charging weight of the current package according to the package information, the packaging information and the target calculation rule.
Further, the information determining module is specifically configured to:
and judging whether the quantity information meets the first preset threshold value, if so, judging that the package information is valid, and otherwise, judging that the package information is invalid.
Further, the apparatus further comprises:
the flow calculation module is used for calculating and acquiring the package flow which flows through the assembly line below the bubble counting device at present according to the quantity information;
and the mode switching module is used for automatically switching the operation mode of the assembly line according to the parcel flow and a second preset threshold value.
Further, the mode switching module includes:
the flow comparison unit is used for comparing the parcel flow with the second preset threshold;
and the mode switching unit is used for switching the running mode of the assembly line to a direct-through mode if the parcel flow is greater than the second preset threshold, and otherwise, switching the running mode of the assembly line to a normal working mode.
In a third aspect, a computer device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the following steps are implemented:
acquiring package information and package images of all packages flowing through a production line below the bubble counting device;
identifying the parcel images through a pre-trained deep learning model to obtain the quantity information and the packaging information of the current parcels;
judging whether the package information is effective or not according to the quantity information and a first preset threshold value;
if the parcel information is valid, determining a target calculation rule for calculating the charging weight of the current parcel according to the parcel information;
and calculating and acquiring the charging weight of the current package according to the package information, the packaging information and the target calculation rule.
In a fourth aspect, there is provided a computer readable storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring package information and package images of all packages flowing through a production line below the bubble counting device;
identifying the parcel images through a pre-trained deep learning model to obtain the quantity information and the packaging information of the current parcels;
judging whether the package information is effective or not according to the quantity information and a first preset threshold value;
if the parcel information is valid, determining a target calculation rule for calculating the charging weight of the current parcel according to the parcel information;
and calculating and acquiring the charging weight of the current package according to the package information, the packaging information and the target calculation rule.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
1. the express delivery bubble counting method, the express delivery bubble counting device, the computer equipment and the storage medium provided by the embodiment of the invention have the advantages that the parcel information and the parcel image of each parcel flowing through a production line below the bubble counting device are obtained, the parcel image is identified through a pre-trained deep learning model, the quantity information and the packaging information of the current parcel are obtained, whether the parcel information is effective or not is judged according to the quantity information and a first preset threshold value, if the parcel information is effective, a target calculation rule for calculating the charging weight of the current parcel is determined according to the parcel information, the charging weight of the current parcel is obtained according to the parcel information, the packaging information and the target calculation rule, and the problem that the existing bubble counting machine volume measurement technology is sensitive to external packing of goods (particularly when the goods are packed by materials such as fiber sacks and the like) is solved, the effectiveness of the package billing weight data is improved.
2. According to the express bubble counting method, the express bubble counting device, the computer equipment and the storage medium, provided by the embodiment of the invention, the validity of the scanning measurement data of the bubble counting machine can be rapidly identified by judging whether the quantity information meets the first preset threshold value, if so, judging that the package information is valid, and otherwise, judging that the package information is invalid;
3. according to the express delivery bubble counting method, the express delivery bubble counting device, the computer equipment and the storage medium, the parcel flow which flows through the assembly line below the bubble counting device at present is calculated and obtained according to the quantity information, the operation mode of the assembly line is automatically switched according to the parcel flow and a second preset threshold value, the parcel congestion is avoided, and the influence on the processing timeliness of a rear-end process is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow diagram illustrating a courier bubble counting method according to an exemplary embodiment;
FIG. 2 is a schematic diagram of a courier bubble counting device, according to an exemplary embodiment;
FIG. 3 is a schematic diagram illustrating an internal architecture of a computer device, according to an example embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flow chart illustrating a courier bubble counting method according to an exemplary embodiment, and referring to fig. 1, the method includes the steps of:
s1: and acquiring the package information and the package image of each package flowing through the assembly line below the bubble counting device.
Specifically, in the embodiment of the invention, a bubble counting device is erected on an automatic production line to acquire package information of each package flowing through the production line, wherein the package information comprises information such as volume information of the package, weight of the package, and a bar code corresponding to the package. In specific implementation, a high-precision dynamic scale, a volume measuring instrument, a code reading sensor and other devices can be integrated on the bubble measuring device, and then the integrated devices are used for acquiring the package information of each package flowing through the production line. In addition, in the embodiment of the invention, an image acquisition device, such as a high-resolution color industrial camera and the like, is arranged on the automatic production line, and each parcel on the production line flowing below the bubble counting device is shot through the image acquisition device to acquire the parcel image of each parcel.
S2: and identifying the parcel images through a pre-trained deep learning model, and acquiring the quantity information and the packaging information of the current parcels.
Specifically, in the embodiment of the invention, the appearance of each parcel is identified through a deep learning technology so as to judge the number and the packaging information of the parcels at the current moment. In specific implementation, a deep learning model can be trained by using pre-prepared training data, and then the package images acquired in the above steps are identified by the deep learning model to acquire the quantity information and the packaging information of the current packages.
S3: and judging whether the package information is effective or not according to the quantity information and a first preset threshold value.
Specifically, in the embodiment of the present invention, a threshold value (i.e., a first preset threshold value) of the number of parcels is preset, and then whether the parcel information obtained in the above step is valid is determined by determining whether the number information of the current parcel obtained by the deep learning model satisfies the first preset threshold value, if the number information of the current parcel satisfies the first preset threshold value, it is determined that the parcel information is valid, otherwise, it is determined that the parcel information is invalid.
S4: and if the parcel information is valid, determining a target calculation rule for calculating the charging weight of the current parcel according to the parcel information.
Specifically, in order to ensure that the current accounting weight of the package can be more reasonable, the embodiment of the invention sets a corresponding calculation rule for the calculation of the accounting weight of the package in various scenes in advance. The calculation rule may be defined according to actual situations, and is not limited herein. As an example, the corresponding calculation rules may be set according to the weight and volume of the package. In specific implementation, when the package information corresponding to the current package is judged to be effective, the weight information and the volume information in the package information are obtained, the weight information and the volume information are matched with a preset calculation rule, and a target calculation rule of the charging weight of the current package is obtained. For example, when the goods are regular goods (such as clothes, books and the like), the billing weight of the package is calculated according to the weight information in the package information, and when the goods are some large and light goods (such as cotton, foam and the like), the billing weight of the package is calculated according to the volume information in the package information.
Specifically, when the calculation rule is set, when the billing weight of the package is calculated according to the weight information in the package information, the actually measured package weight (i.e., the weight information in the package information) may be directly used as the billing weight of the current package, or a first scale coefficient may be set for the package under various scenes according to the actual demand, and the billing weight of the current package is obtained by multiplying the actually measured package weight by the first scale coefficient. When the billing weight of the parcel is calculated according to the volume information in the parcel information, a second proportionality coefficient can be set for the parcel under various scenes, and the billing weight of the current parcel is calculated according to the volume information in the parcel information and the second proportionality coefficient. The first scaling factor and the second scaling factor may be set by a user according to actual requirements, which is not limited herein.
S5: and calculating and acquiring the charging weight of the current package according to the package information, the packaging information and the target calculation rule.
Specifically, because the existing bubble counter volume measurement technology is sensitive to external packing of goods, the accuracy of volume information measurement of the package is affected by the packing materials made of different materials, and especially when the goods are packed by materials such as fiber sacks and the like, the validity of volume measurement data is greatly reduced, so that the data is greatly disputed in multi-party settlement. Therefore, in the embodiment of the present invention, when calculating the billing weight of the current package, the factor of the package to be calculated needs to be considered.
In specific implementation, after the package information is judged to be effective, the package information is identified through the deep learning model and participates in the calculation of the charging weight of the current package. Wherein the packaging information includes but not limited to the material of packing and the appearance of packing, when the material of packing and the appearance of packing carton satisfy the predetermined condition, if the material of packing is the carton and the appearance of packing is the cube, then need not consider the packaging information when calculating the accounting total amount of current parcel, when the material of packing does not satisfy the predetermined condition, if the material of packing is fine gunny bag and the appearance of packing is irregular shape, then need consider the packaging information when calculating the accounting total amount of current parcel. During specific implementation, corresponding proportional values can be set for different packaging materials, and the proportional values are participated in the calculation of the charging weight of the current package. For example, the measured volume or weight (corresponding to the volume information or weight information in the package information, respectively) is converted according to the proportional value, for example, the measured volume or weight is multiplied by the proportional value corresponding to the package information. It should be noted that the package image can be used as an image certificate in addition to the information for identifying the current package quantity and the package information, so as to serve as a reliable argument for settlement of package fees in the handover procedure.
As a preferred implementation manner, in an embodiment of the present invention, the determining whether the parcel information is valid according to the quantity information and a first preset threshold includes:
and judging whether the quantity information meets the first preset threshold value, if so, judging that the package information is valid, and otherwise, judging that the package information is invalid.
Specifically, in order to ensure the accuracy of the package information measured by the bubble counting device, the packages to be measured are generally required to be singulated and pass through equipment at certain intervals, so as to obtain the information of the bar code, the weight and the size of each package, and realize one-to-one independent calculation of the cost. However, when the flow of packages on the production line is doubled or the packages are jammed, the packages are easily sticky, and the like, at this time, the photoelectric sensing can determine a plurality of packages as one package, and at this time, the package information measured by the bubble counting machine should be invalid data. Because the situation of package flow multiplication or package congestion on the production line cannot be avoided, in the embodiment of the invention, invalid package information measured by the bubble counting machine is identified so as to ensure the validity of data in the whole bubble counting link. In specific implementation, a first preset threshold is preset, as a preferred implementation, the first preset threshold is usually set to be 1, and then it is determined whether the quantity information meets the preset threshold (i.e., it is determined whether the quantity information is 1), if so, the quantity of packages flowing through the assembly line below the bubble counting device is 1, and at this time, the package information is determined to be valid, otherwise, the quantity of packages flowing through the assembly line below the bubble counting device is greater than 1, and at this time, even though the barcode information of each current package may be accurately identified, the specific weight of each current package cannot be determined, and therefore, the package information is determined to be invalid.
As a preferred implementation manner, in an embodiment of the present invention, the method further includes:
calculating and acquiring the package flow which flows through the assembly line below the bubble counting device at present according to the quantity information;
and automatically switching the operation mode of the assembly line according to the parcel flow and a second preset threshold value.
Specifically, when the parcel blocks up, the bubble counting machine opens the working method that stops (refer to normal working method, the parcel is distinguished through photoelectric trigger around promptly, drives the belt that the bubble counting machine below and opens and stop for preceding parcel passes through, and the working method that the back parcel stopped down) will aggravate the scene and block up, greatly influence the processing ageing of rear end process, if rely on the operation mode of manual switching assembly line after the artificial judgement, there is the hysteresis easily.
In the embodiment of the invention, a second preset threshold value is preset, and then whether the current running mode of the production line is switched is judged by combining the current wrapping flow flowing through the production line below the foam metering device and the second preset threshold value, so that the automatic switching of the running mode of the production line is realized. In specific implementation, the volume information identified by the deep learning model in the above steps can be used to count the volume of packages flowing through the flow line below the bubble counting device (for example, the total volume of packages flowing through 1 minute is monitored in real time).
As a preferred implementation manner, in an embodiment of the present invention, the automatically switching the operation mode of the flow line according to the parcel flow and a second preset threshold includes:
and comparing the parcel flow with the second preset threshold, if the parcel flow is greater than the second preset threshold, switching the operation mode of the assembly line to a direct connection mode, and otherwise, switching the operation mode of the assembly line to a normal working mode.
Specifically, the calculated parcel flow is compared with the second preset threshold, when the parcel flow is greater than the second preset threshold, it is indicated that the processing efficiency threshold of the bubble counting device is exceeded, at the moment, peak value early warning should be started, the operation mode of the production line is switched to a through mode, when the parcel flow is less than or equal to the second preset threshold, it is indicated that the flow is reduced to the processing efficiency threshold of the bubble counting device, at the moment, the operation mode of the production line should be automatically switched back to a normal operation mode, validity of data measurement of the bubble counting device is ensured, and meanwhile, the production line processing efficiency in a peak period is ensured.
Fig. 2 is a schematic structural diagram of an express bubble counting device according to an exemplary embodiment, and referring to fig. 2, the device includes:
the first acquisition module is used for acquiring the parcel information and parcel images of all parcels flowing through the assembly line below the bubble counting device;
the second acquisition module is used for identifying the parcel images through a pre-trained deep learning model and acquiring the quantity information and the packaging information of the current parcels;
the information judgment module is used for judging whether the package information is effective or not according to the quantity information and a first preset threshold;
the rule obtaining module is used for determining a target calculation rule for calculating the charging weight of the current package according to the package information;
and the weight calculation module is used for calculating and acquiring the charging weight of the current package according to the package information, the packaging information and the target calculation rule.
As a preferred implementation manner, in an embodiment of the present invention, the information determining module is specifically configured to:
and judging whether the quantity information meets the preset threshold value, if so, judging that the package information is valid, and otherwise, judging that the package information is invalid.
As a preferred implementation manner, in an embodiment of the present invention, the apparatus further includes:
the flow calculation module is used for calculating and acquiring the package flow which flows through the assembly line below the bubble counting device at present according to the quantity information;
and the mode switching module is used for automatically switching the operation mode of the assembly line according to the parcel flow and a second preset threshold value.
As a preferred implementation manner, in an embodiment of the present invention, the mode switching module includes:
the flow comparison unit is used for comparing the parcel flow with the second preset threshold;
and the mode switching unit is used for switching the running mode of the assembly line to a direct-through mode if the parcel flow is greater than the second preset threshold, and otherwise, switching the running mode of the assembly line to a normal working mode.
Fig. 3 is a schematic diagram illustrating an internal configuration of a computer device according to an exemplary embodiment, which includes a processor, a memory, and a network interface connected through a system bus, as shown in fig. 3. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of optimization of an execution plan.
Those skilled in the art will appreciate that the configuration shown in fig. 3 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing devices to which aspects of the present invention may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
As a preferred implementation manner, in an embodiment of the present invention, the computer device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the following steps when executing the computer program:
acquiring package information and package images of all packages flowing through a production line below the bubble counting device;
identifying the parcel images through a pre-trained deep learning model to obtain the quantity information and the packaging information of the current parcels;
judging whether the package information is effective or not according to the quantity information and a first preset threshold value;
if the parcel information is valid, determining a target calculation rule for calculating the charging weight of the current parcel according to the parcel information;
and calculating and acquiring the charging weight of the current package according to the package information, the packaging information and the target calculation rule.
As a preferred implementation manner, in the embodiment of the present invention, when the processor executes the computer program, the following steps are further implemented:
and judging whether the quantity information meets the first preset threshold value, if so, judging that the package information is valid, and otherwise, judging that the package information is invalid.
As a preferred implementation manner, in the embodiment of the present invention, when the processor executes the computer program, the following steps are further implemented:
calculating and acquiring the package flow which flows through the assembly line below the bubble counting device at present according to the quantity information;
and automatically switching the operation mode of the assembly line according to the parcel flow and a second preset threshold value.
As a preferred implementation manner, in the embodiment of the present invention, when the processor executes the computer program, the following steps are further implemented:
and comparing the parcel flow with the second preset threshold, if the parcel flow is greater than the second preset threshold, switching the operation mode of the assembly line to a direct connection mode, and otherwise, switching the operation mode of the assembly line to a normal working mode.
In an embodiment of the present invention, a computer-readable storage medium is further provided, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the following steps:
acquiring package information and package images of all packages flowing through a production line below the bubble counting device;
identifying the parcel images through a pre-trained deep learning model to obtain the quantity information and the packaging information of the current parcels;
judging whether the package information is effective or not according to the quantity information and a first preset threshold value;
if the parcel information is valid, determining a target calculation rule for calculating the charging weight of the current parcel according to the parcel information;
and calculating and acquiring the charging weight of the current package according to the package information, the packaging information and the target calculation rule.
As a preferred implementation manner, in the embodiment of the present invention, when executed by the processor, the computer program further implements the following steps:
and judging whether the quantity information meets the first preset threshold value, if so, judging that the package information is valid, and otherwise, judging that the package information is invalid.
As a preferred implementation manner, in the embodiment of the present invention, when executed by the processor, the computer program further implements the following steps:
calculating and acquiring the package flow which flows through the assembly line below the bubble counting device at present according to the quantity information;
and automatically switching the operation mode of the assembly line according to the parcel flow and a second preset threshold value.
As a preferred implementation manner, in the embodiment of the present invention, when executed by the processor, the computer program further implements the following steps:
and comparing the parcel flow with the second preset threshold, if the parcel flow is greater than the second preset threshold, switching the operation mode of the assembly line to a direct connection mode, and otherwise, switching the operation mode of the assembly line to a normal working mode.
In summary, the technical solution provided by the embodiment of the present invention has the following beneficial effects:
1. the express delivery bubble counting method, the express delivery bubble counting device, the computer equipment and the storage medium provided by the embodiment of the invention have the advantages that the parcel information and the parcel image of each parcel flowing through a production line below the bubble counting device are obtained, the parcel image is identified through a pre-trained deep learning model, the quantity information and the packaging information of the current parcel are obtained, whether the parcel information is effective or not is judged according to the quantity information and a first preset threshold value, if the parcel information is effective, a target calculation rule for calculating the charging weight of the current parcel is determined according to the parcel information, the charging weight of the current parcel is obtained according to the parcel information, the packaging information and the target calculation rule, and the problem that the existing bubble counting machine volume measurement technology is sensitive to external packing of goods (particularly when the goods are packed by materials such as fiber sacks and the like) is solved, the effectiveness of the package billing weight data is improved.
2. According to the express bubble counting method, the express bubble counting device, the computer equipment and the storage medium, provided by the embodiment of the invention, the validity of the scanning measurement data of the bubble counting machine can be rapidly identified by judging whether the quantity information meets the first preset threshold value, if so, judging that the package information is valid, and otherwise, judging that the package information is invalid;
3. according to the express delivery bubble counting method, the express delivery bubble counting device, the computer equipment and the storage medium, the parcel flow which flows through the assembly line below the bubble counting device at present is calculated and obtained according to the quantity information, the operation mode of the assembly line is automatically switched according to the parcel flow and a second preset threshold value, the parcel congestion is avoided, and the influence on the processing timeliness of a rear-end process is reduced.
It should be noted that: the express bubble counting device provided in the above embodiment is only illustrated by dividing the functional modules when triggering the bubble counting service, and in practical application, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the express bubble counting device and the express bubble counting method provided by the embodiment belong to the same concept, that is, the device is based on the express bubble counting method, and the specific implementation process is described in the method embodiment and is not described herein again.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
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| CN112862161B (en) * | 2021-01-18 | 2024-09-06 | 湖南睿邮信息技术有限公司 | Goods sorting management method, device, electronic equipment and storage medium |
| CN113780074A (en) * | 2021-08-04 | 2021-12-10 | 五邑大学 | Method, device and storage medium for quality detection of roll paper |
| CN114485873A (en) * | 2022-02-14 | 2022-05-13 | 赛那德数字技术(上海)有限公司 | An integrated device, method and electronic device for weighing and scanning code to measure volume |
| CN115205661A (en) * | 2022-07-07 | 2022-10-18 | 赛那德科技有限公司 | A weighing method, dynamic scale, measuring section and DWS equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3822009A (en) * | 1973-02-01 | 1974-07-02 | Eastman Kodak Co | Item transporting system |
| US5331118A (en) * | 1992-11-27 | 1994-07-19 | Soren Jensen | Package dimensional volume and weight determination system for conveyors |
| CN102152953A (en) * | 2011-01-21 | 2011-08-17 | 深圳市智莱科技有限公司 | Method for sending and delivering mail by utilizing cabinet and acquiring mail deposited in cabinet |
| CN103679927A (en) * | 2013-10-31 | 2014-03-26 | 郑红光 | Method for mail sending through self-help equipment by sender |
| CN204044878U (en) * | 2014-08-25 | 2014-12-24 | 朱中生 | Contactless cargo data acquisition system |
| CN205486194U (en) * | 2016-01-08 | 2016-08-17 | 广州环球梦电子商务股份有限公司 | Bar code recognition device of express delivery commodity circulation |
| CN107218892A (en) * | 2017-07-11 | 2017-09-29 | 江苏锐特自控科技有限公司 | One kind meter bubble machine |
-
2020
- 2020-06-04 CN CN202010503974.7A patent/CN111717618B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3822009A (en) * | 1973-02-01 | 1974-07-02 | Eastman Kodak Co | Item transporting system |
| US5331118A (en) * | 1992-11-27 | 1994-07-19 | Soren Jensen | Package dimensional volume and weight determination system for conveyors |
| CN102152953A (en) * | 2011-01-21 | 2011-08-17 | 深圳市智莱科技有限公司 | Method for sending and delivering mail by utilizing cabinet and acquiring mail deposited in cabinet |
| CN103679927A (en) * | 2013-10-31 | 2014-03-26 | 郑红光 | Method for mail sending through self-help equipment by sender |
| CN204044878U (en) * | 2014-08-25 | 2014-12-24 | 朱中生 | Contactless cargo data acquisition system |
| CN205486194U (en) * | 2016-01-08 | 2016-08-17 | 广州环球梦电子商务股份有限公司 | Bar code recognition device of express delivery commodity circulation |
| CN107218892A (en) * | 2017-07-11 | 2017-09-29 | 江苏锐特自控科技有限公司 | One kind meter bubble machine |
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