CN113706068A - Cargo allocation state determining method and device - Google Patents
Cargo allocation state determining method and device Download PDFInfo
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- CN113706068A CN113706068A CN202110801810.7A CN202110801810A CN113706068A CN 113706068 A CN113706068 A CN 113706068A CN 202110801810 A CN202110801810 A CN 202110801810A CN 113706068 A CN113706068 A CN 113706068A
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- 238000000034 method Methods 0.000 title claims abstract description 73
- 238000005303 weighing Methods 0.000 claims abstract description 94
- 238000012544 monitoring process Methods 0.000 claims description 48
- 230000002159 abnormal effect Effects 0.000 claims description 33
- 238000004590 computer program Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 abstract description 2
- 238000007726 management method Methods 0.000 description 23
- 238000004891 communication Methods 0.000 description 5
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
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- G—PHYSICS
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- 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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
Abstract
The invention relates to the technical field of data processing, and provides a goods distribution state determining method and device. The method comprises the following steps: determining a goods distribution state according to the goods distribution order data, the goods distribution related information and the total weighing weight of the goods on the goods shelf after the goods distribution; the shipment related information includes any one of: the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation; the theoretical weight of the goods on the shelf after the goods are distributed; the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation; the goods allocation code is used for determining weight information corresponding to the goods allocation; the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data. The method and the device for determining the distribution state can improve the efficiency and the accuracy of acquiring the distribution condition, and can also enable the distribution data to be traced so as to improve the supervision of the distribution process.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a goods distribution state determining method and device.
Background
In the process of distributing goods to a goods shelf, a camera is usually used for collecting videos of the goods taking process, and the current video identification algorithm cannot feed back inventory information through automatic identification. Therefore, whether the actual goods distribution condition of the goods distributor is matched with the goods distribution information submitted by the goods distributor or not cannot be verified, so that the goods shelf operator cannot know the goods loss and the actual goods distribution condition caused in the goods distribution process.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a method for determining the distribution state, which can improve the efficiency and the accuracy of obtaining the distribution condition, and can also enable the distribution data to be traced, thereby improving the supervision on the distribution process.
According to the cargo allocation state determining method of the embodiment of the first aspect of the invention, the cargo allocation state determining method comprises the following steps:
determining a goods distribution state according to the goods distribution order data, the goods distribution related information and the total weighing weight of the goods on the goods shelf after the goods distribution;
the shipment related information includes any one of:
the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation;
the theoretical weight of the goods on the shelf after the goods are distributed;
the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation;
the goods allocation code is used for determining weight information corresponding to the goods allocation;
the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data.
According to the method for determining the distribution state, the total weighing weight and the theoretical distribution weight of the commodities on the goods shelf before distribution and the theoretical distribution weight of the commodities on the goods shelf after distribution can be determined according to the data of the distribution order and the relevant information of the distribution, so that the accuracy and the traceability of the distribution data are ensured; the total weighing weight of the commodities on the goods shelf after the goods distribution is combined, the goods distribution state is determined, the goods distribution data can be effectively evaluated, and therefore the supervision on the goods distribution process is improved.
According to an embodiment of the present invention, in a case where the information related to cargo allocation includes a total weighing weight of the commodity on the shelf before cargo allocation and a theoretical weight of cargo allocation, the determining a cargo allocation state according to the data of the cargo allocation order, the information related to cargo allocation and the total weighing weight of the commodity on the shelf after cargo allocation includes:
determining a difference between the total weighed weight of the goods on the shelf after the goods are dispensed and the total weighed weight of the goods on the shelf before the goods are dispensed;
determining a first absolute value of the difference between the difference value and the theoretical weight of the shipment;
determining a shipment anomaly if the first absolute value is greater than a first threshold.
According to the method for determining the distribution state, the actual weight of the distribution is determined through the total weighing weight of the commodities on the goods shelf before and after distribution, and the actual distribution data can be ensured to be obtained in real time; and the actual weight of the goods distribution is compared with the theoretical weight of the goods distribution, and the goods distribution state is determined according to the judgment of the preset threshold value, so that the accuracy rate of obtaining the goods distribution condition is improved, the goods distribution data can be traced and evaluated, and the supervision of the goods distribution process is improved.
According to an embodiment of the present invention, in a case that the information related to the goods allocation includes a theoretical weight of the goods on the shelf after the goods allocation, the determining the goods allocation status according to the data of the goods allocation order, the information related to the goods allocation, and the total weighed weight of the goods on the shelf after the goods allocation, includes:
determining a second absolute value of the difference between the total weighed weight of the goods on the shelf after the shipment and the theoretical weight of the goods on the shelf after the shipment;
determining a shipment anomaly if the second absolute value is greater than a second threshold.
According to the method for determining the distribution state, disclosed by the embodiment of the invention, by determining the absolute value of the difference value between the theoretical weight and the total weighing weight of all the commodities on the shelf after distribution, the deviation between the theoretical weight and the actual total weighing weight, which is obtained according to the distribution order data input by the distribution terminal, can be effectively measured, and the efficiency of obtaining the distribution condition is improved; and then the data is compared with a preset threshold value to determine the distribution state, so that the accuracy of acquiring the distribution condition can be improved, the distribution data can be traced and evaluated, and the supervision on the distribution process is improved.
According to one embodiment of the invention, the total weighed weight is determined by any one of the following:
determining the total weighing weight according to a weighing unit arranged on a shelf;
determining the total weighing weight according to a weighing unit arranged on each goods channel of the goods shelf.
According to the method for determining the distribution state, the corresponding weighing units are arranged on each layer of goods shelf, so that the real-time weight of the distribution goods can be directly obtained, and the timeliness and the accuracy of obtaining the information of the distribution goods are improved.
According to an embodiment of the present invention, the cargo allocation status determining method further includes:
and reporting the alarm information to a commodity management system under the condition of determining that the goods allocation is abnormal.
According to the method for determining the distribution state, the distribution state can be fed back in time by sending the alarm signal to the distribution terminal, and the distribution accuracy can be improved.
According to an embodiment of the present invention, reporting the alarm information to the commodity management system when it is determined that the goods allocation is abnormal includes:
under the condition that the goods distribution is determined to be abnormal, monitoring goods distribution information is determined through shelf monitoring data;
and reporting the first alarm information to the commodity management system under the condition that the monitored goods allocation information is different from the goods allocation order data.
According to the method for determining the distribution state, the distribution information is confirmed by monitoring the distribution information, the distribution abnormal state caused by the wrong distribution order data is determined, and the accuracy of acquiring the distribution condition can be improved; and an alarm signal is sent to the commodity management system, so that the goods distribution state can be fed back in time, and the goods distribution accuracy can be improved.
According to an embodiment of the present invention, reporting the alarm information to the commodity management system when it is determined that the goods allocation is abnormal includes:
under the condition that the goods distribution is determined to be abnormal, monitoring goods distribution information is determined through shelf monitoring data;
determining the monitoring theoretical weight of the commodities on the goods shelf after the goods are distributed according to the monitoring goods distribution information;
determining a third absolute value of the difference between the monitored theoretical weight and the total weighed weight of the items on the post-dispense shelf;
and reporting second alarm information to the commodity management system under the condition that the third absolute value is larger than a third threshold value.
According to the method for determining the distribution state, the distribution information is confirmed by monitoring the distribution information, the abnormal distribution state caused by the fault of the weighing unit is determined, and the accuracy of acquiring the distribution condition can be improved; and an alarm signal is sent to the commodity management system, so that the running state of the goods distribution terminal can be fed back in time, and the goods distribution terminal can be maintained in time.
A distribution status determination apparatus according to an embodiment of the second aspect of the invention includes:
the first determining module is used for determining the goods distribution state according to the goods distribution order data, the goods distribution related information and the total weighing weight of the goods on the goods shelf after the goods distribution;
the shipment related information includes any one of:
the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation;
the theoretical weight of the goods on the shelf after the goods are distributed;
the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation;
the goods allocation code is used for determining weight information corresponding to the goods allocation;
the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data.
According to the distribution state determining device provided by the embodiment of the invention, the total weighing weight and the distribution theoretical weight of the commodities on the goods shelf before distribution and the theoretical weight of the commodities on the goods shelf after distribution can be determined according to the distribution order data and the relevant information of distribution, so that the accuracy and traceability of the distribution data are ensured; the total weighing weight of the commodities on the goods shelf after the goods distribution is combined, the goods distribution state is determined, the goods distribution data can be effectively evaluated, and therefore the supervision on the goods distribution process is improved.
An electronic device according to an embodiment of the third aspect of the present invention includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the steps of the cargo allocation status determination method according to any one of the above-mentioned methods when executing the program.
A non-transitory computer-readable storage medium according to a fourth aspect of the invention, has stored thereon a computer program which, when being executed by a processor, carries out the steps of the shipment status determination method as described in any of the above.
One or more technical solutions in the embodiments of the present invention have at least one of the following technical effects: by determining the absolute value of the difference value between the total weight and the total weighing weight of the commodities on the goods shelf, the deviation between the total weight of the commodities obtained according to the goods distribution information uploaded by the goods distribution terminal and the actual total weighing weight can be effectively measured, and the efficiency of obtaining the goods distribution condition is improved; and then, the distribution state is determined according to the comparison between the absolute value and the preset difference value, the accuracy rate of the distribution condition acquisition can be improved, the distribution data can be traced, and the supervision on the distribution process is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a cargo allocation status determining method according to an embodiment of the present invention;
fig. 2 is a second schematic flow chart of a cargo allocation status determining method according to an embodiment of the present invention;
fig. 3 is a third schematic flowchart of a cargo allocation status determining method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a cargo allocation state determining apparatus according to an embodiment of the present invention;
fig. 5 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In the description of the embodiments of the present invention, it should be noted that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the embodiments of the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the embodiments of the present invention, it should be noted that, unless explicitly stated or limited otherwise, the terms "connected" and "connected" are to be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. Specific meanings of the above terms in the embodiments of the present invention can be understood in specific cases by those of ordinary skill in the art.
In embodiments of the invention, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through intervening media. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. 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 schematic flow chart of a cargo allocation status determining method according to an embodiment of the present invention. Referring to fig. 1, a method for determining a distribution status provided by an embodiment of the present invention includes:
the shipment related information includes any one of:
the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation;
the theoretical weight of the goods on the shelf after the goods are distributed;
the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation;
the goods allocation code is used for determining weight information corresponding to the goods allocation;
the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data.
The execution main body of the distribution state determining method provided by the embodiment of the invention can be electronic equipment, a component in the electronic equipment, an integrated circuit or a chip. The electronic device may be a mobile electronic device or a non-mobile electronic device. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), and the like, and the present invention is not limited in particular.
The following describes the technical solution of the present invention in detail by taking an example in which a server executes the method for determining a distribution status provided by the embodiment of the present invention.
Optionally, in step 110, after the delivery person completes the delivery, the delivery order data is submitted through the delivery terminal, and the server receives the delivery order data. The goods distributor can input the data of the goods distribution order manually or can input the data of the goods distribution order by voice, and the form of improving the goods distribution order by the goods distributor is not particularly limited.
Alternatively, the pick order data may include a pick code or other identification that may determine item attribute information, the quantity of pick items, and the quantity of inventory items on the shelf prior to picking. The server can acquire the weight attribute information of each commodity pre-stored in the server according to the goods allocation commodity code, and then the theoretically calculated weight of the commodity on the goods shelf after goods allocation can be determined according to the number of the goods allocation commodities, the weight attribute information corresponding to the goods allocation commodities, the inventory count number of the commodities on the goods shelf before goods allocation and the weight attribute information of the commodities stored on the goods shelf before goods allocation.
Alternatively, the information related to the distribution may be the total weighed weight of the goods on the shelf before distribution or the theoretical weight of the distribution. The total weighing weight of the goods on the goods shelf before the goods distribution is data obtained after the weighing unit of the goods distribution terminal performs weighing before the goods distribution, and the theoretical weight of the goods distribution is data predetermined according to the goods distribution requirement. The information related to distribution may further include: the category of the commodity, the name of the commodity or the inventory of the commodity warehouse. The total or theoretical weight of the goods on each layer of shelves or on all shelves can be determined from the information related to the allocation.
Optionally, the weighing unit may be in a dormant state when the goods are not distributed, after the goods distribution terminal receives the goods distribution order data uploaded by the goods distributor, the weighing unit is activated and uploads the obtained weighing data to the server, and the server processes the weighing data, the goods distribution related information, and the goods distribution order data, and finally determines the goods distribution state. The weighing unit can be a weighing sensor or other types of weighing instruments. According to different types of weighing units, the weighing units can be arranged in the positions of the goods shelf where the weighing of the goods can be completed, and the arrangement positions and the arrangement mode of the weighing units are not particularly limited.
The shelf can be a shelf in an intelligent retail cabinet or an unmanned vending machine, and can also be an open shelf in a store or a supermarket.
According to the method for determining the distribution state, provided by the embodiment of the invention, the total weighing weight and the theoretical weight of the goods on the goods shelf before distribution and the theoretical weight of the goods on the goods shelf after distribution can be determined according to the data of the distribution order and the relevant information of the distribution, so that the accuracy and the traceability of the distribution data are ensured; the total weighing weight of the commodities on the goods shelf after the goods distribution is combined, the goods distribution state is determined, the goods distribution data can be effectively evaluated, and therefore the supervision on the goods distribution process is improved.
In one embodiment, in the case that the information related to cargo allocation includes a total weighing weight of the goods on the shelf before cargo allocation and a theoretical weight of cargo allocation, the determining the cargo allocation status according to the data of the cargo allocation order, the information related to cargo allocation and the total weighing weight of the goods on the shelf after cargo allocation includes:
determining a difference between the total weighed weight of the goods on the shelf after the goods are dispensed and the total weighed weight of the goods on the shelf before the goods are dispensed;
determining a first absolute value of the difference between the difference value and the theoretical weight of the shipment;
determining a shipment anomaly if the first absolute value is greater than a first threshold.
Optionally, after the goods distribution is completed, the server may determine the actual weight of the goods distributed this time according to the weighing data of the goods on the shelves before and after the goods distribution. And comparing the actual cargo allocation weight of the current cargo allocation with the theoretical cargo allocation weight of the current cargo allocation and obtaining the difference value of the actual cargo allocation weight and the theoretical cargo allocation weight of the current cargo allocation. And finally, judging the first absolute value of the difference value and the first threshold value, and determining that the goods distribution is abnormal under the condition that the first absolute value is greater than the preset first threshold value. The first threshold is a preset reasonable difference range, and the present invention is not limited in particular.
For example: the first threshold value is 0.5 kg. The actual weight of the current cargo allocation is 5kg, and the theoretical weight of the current cargo allocation is 6 kg. Then a first absolute value of 1 and greater than a first threshold value, then a shipment anomaly may be determined.
For example: the first threshold value is 0.5 kg. The actual weight of the current cargo allocation is 5kg, and the theoretical weight of the current cargo allocation is 5 kg. Then a first absolute value of 0 and less than the first threshold value, it may be determined that the shipment is normal.
According to the method for determining the distribution state, the actual weight of the distribution is determined according to the total weighing weight of the commodities on the goods shelf before and after distribution, and the actual distribution data can be obtained in real time; and the actual weight of the distribution is compared with the theoretical weight of the distribution, and the distribution state is determined according to the preset threshold value, so that the accuracy of acquiring the distribution condition is improved, the distribution data can be traced and evaluated, and the supervision of the distribution process is improved.
In one embodiment, in the case that the information related to the goods allocation includes a theoretical weight of the goods on the shelf after the goods allocation, the determining the goods allocation status according to the data of the goods allocation order, the information related to the goods allocation, and the total weighted weight of the goods on the shelf after the goods allocation includes:
determining a second absolute value of the difference between the total weighed weight of the goods on the shelf after the shipment and the theoretical weight of the goods on the shelf after the shipment;
determining a shipment anomaly if the second absolute value is greater than a second threshold.
Optionally, after the goods allocation is completed, the server may obtain a difference between a total weighed weight of the goods on a certain layer of shelf or all shelves and a theoretically calculated weight of the goods on the shelf, and when an absolute value of the difference is greater than a second threshold, the goods allocation is considered to be abnormal, that is, it can be reasonably inferred that the goods allocator allocates the goods according to the submitted data, so that the management and control of the goods allocation condition of the goods allocator is realized. The second threshold is a preset reasonable difference range, and the present invention is not limited in particular.
For example: the second threshold value is 1kg, the theoretical weight of all the commodities on a certain layer of goods shelf after the goods are distributed, which is obtained according to the data of the goods distribution order, is 15kg, the corresponding total weighing weight of all the commodities on the layer of goods shelf is 13.8kg, the absolute value of the difference between the theoretical weight and the total weighing weight is 1.2, and if the difference exceeds a preset difference 1, the goods distribution is considered to be abnormal. In addition, when the total weight of all the commodities on a corresponding shelf of a certain layer is determined to be in the range of 14kg to 16kg, the distribution can be considered to be normal.
For example: the preset difference is 0.5kg, the theoretical weight of all the commodities on a certain layer of goods shelf after the goods are distributed, which is obtained according to the data of the goods distribution order, is 5kg, the corresponding total weighing weight of all the commodities on the layer of goods shelf is 4.8kg, and if the absolute value of the difference between the theoretical weight and the total weighing weight is 0.2 and is less than the preset difference 0.5, the goods distribution can be considered to be normal. In addition, when the total weight of all the commodities on a corresponding shelf of a certain layer is determined to be in the range of 4.5kg to 5.5kg, the distribution can be considered to be normal.
According to the method for determining the distribution state, provided by the embodiment of the invention, by determining the absolute value of the difference value between the theoretical weight and the total weighing weight of all the commodities on the goods shelf after distribution, the deviation between the theoretical weight and the actual total weighing weight obtained according to the distribution order data input by the distribution terminal can be effectively measured, and the efficiency of obtaining the distribution condition is improved; and then the data is compared with a preset threshold value to determine the distribution state, so that the accuracy of acquiring the distribution condition can be improved, the distribution data can be traced and evaluated, and the supervision on the distribution process is improved.
In one embodiment, the total weighed weight is determined by any one of:
determining the total weighing weight according to a weighing unit arranged on a shelf;
determining the total weighing weight according to a weighing unit arranged on each goods channel of the goods shelf.
Optionally, a weighing unit is uniformly arranged for each layer of shelf, and the total weight of the commodities on the entire layer of shelf can be directly obtained.
Optionally, a weighing unit is arranged for each lane of each layer of shelf, and the total weight of the commodities on the entire layer of shelf can be determined according to the weighing data of each lane. Because the weighing data of each goods channel is known, the difference value can be calculated according to the goods distribution information and the weighing data of the corresponding goods channel, and the absolute value of the difference value is compared with the preset difference value, so that the goods channel with abnormal goods distribution can be accurately positioned.
The weighing unit can adjust the type, the precision and the like of the weighing unit according to the commodity category of each layer of goods shelf or each goods channel. For example: aiming at a goods channel of which the commodity is rice, a scale with the precision of 1kg can be arranged; for a cargo channel of which the commodity is oil, a scale with the precision of 0.5kg can be set; the above mineral water channel can be set with an accuracy of 5 g.
According to the method for determining the distribution state, the corresponding weighing units are arranged on each layer of goods shelf, so that the real-time weight of the distribution goods can be directly obtained, and the timeliness and the accuracy of obtaining the information of the distribution goods are improved.
In one embodiment, the cargo allocation status determining method further includes:
and reporting the alarm information to a commodity management system under the condition of determining that the goods allocation is abnormal.
Optionally, after determining that the goods allocation is abnormal, the alarm information is reported to a commodity management system in the server. The merchandise management system may send alarm information to the distributor and shelf operator. The goods distributor can adjust the goods distribution information or the goods distribution order data according to the alarm information, namely, the goods can be supplemented to the goods shelf or the abnormal reason of the goods distribution order data can be analyzed after the goods are checked, and the correct goods distribution order data can be uploaded; the goods shelf operator can know the goods distribution condition according to the alarm information and process the goods distribution condition in time. The server can also record the abnormal goods allocation state so as to periodically check the goods by the goods supply frame operator.
According to the method for determining the distribution state, the distribution state can be fed back in time by sending the alarm signal to the distribution terminal, and the distribution accuracy can be improved.
In one embodiment, the reporting the alarm information to the commodity management system when the cargo allocation is determined to be abnormal includes:
under the condition that the goods distribution is determined to be abnormal, monitoring goods distribution information is determined through shelf monitoring data;
and reporting the first alarm information to the commodity management system under the condition that the monitored goods allocation information is different from the goods allocation order data.
Optionally, when it is determined that the goods allocation is abnormal, the server may call the shelf monitoring data according to the demand, and determine the monitoring goods allocation information from the shelf monitoring data. The shelf monitoring data may be a video of the order process by the order taker or a picture taken of the goods on the shelf. The monitoring distribution information may be determined manually or by a photo, or may be determined by a video recognition algorithm, and the present invention is not limited in particular. Shelf monitoring data may be obtained by arranging a camera unit around the shelf, for example: the shooting unit can be arranged on each layer of shelf inside the retail cabinet or at the edge of a cabinet door of the retail cabinet, and the shooting unit can also be arranged at the edge of each layer of shelf in the business surpass.
Optionally, monitoring the distribution information may determine monitoring the distribution goods code, monitoring the number of distribution goods, and monitoring the inventory count of goods on the shelf before distribution. By checking the monitored goods allocation information and the goods allocation order data, under the condition that the monitored goods allocation information is inconsistent with the goods allocation order data, the goods allocation information submitted by the goods allocator is wrong, and the abnormal goods allocation state can be determined. Therefore, the first alarm information is automatically reported to the commodity management system in the server.
According to the method for determining the distribution state, the distribution information is confirmed by monitoring the distribution information, the distribution abnormal state caused by the wrong distribution order data is determined, and the accuracy of acquiring the distribution condition can be improved; and an alarm signal is sent to the commodity management system, so that the goods distribution state can be fed back in time, and the goods distribution accuracy can be improved.
In one embodiment, the reporting the alarm information to the commodity management system when the cargo allocation is determined to be abnormal includes:
under the condition that the goods distribution is determined to be abnormal, monitoring goods distribution information is determined through shelf monitoring data;
determining the monitoring theoretical weight of the commodities on the goods shelf after the goods are distributed according to the monitoring goods distribution information;
determining a third absolute value of the difference between the monitored theoretical weight and the total weighed weight of the items on the post-dispense shelf;
and reporting second alarm information to the commodity management system under the condition that the third absolute value is larger than a third threshold value.
Optionally, since the monitoring of the goods allocation information may determine monitoring of the goods allocation goods codes, monitoring of the number of the goods allocation goods, and monitoring of the inventory count number of the goods on the shelf before the goods allocation, the weight may be calculated according to a monitoring theory of the goods on the shelf after the goods allocation obtained from the information. By checking the weight calculated by the monitoring theory and the total weighing weight of the commodities on the goods shelf after the goods are distributed and comparing a third absolute value of the difference value of the two with a third threshold value, the condition that the weighing data is wrong can be judged, and the weighing unit is determined to be in fault. Therefore, the second warning information is sent to the commodity management system, and the shelf operator can maintain the weighing unit of the goods distribution terminal according to the second warning information.
For example: according to the monitoring and goods distribution information, the monitoring and goods distribution commodities and 5 bottles of water can be determined, the quantity of inventory of the commodities on the goods shelf before the monitoring and goods distribution is 10 bottles of water, 1 bottle of water is 500g, and the monitoring theoretical weight is 7500 g. And the total weight of the goods on the shelf after the goods are distributed is 7200g, and the third absolute value of the difference value of the two is 300. The third threshold is set to 50, and at this time, the third absolute value is greater than the preset third threshold, it may be determined that the weighing unit has failed, and second warning information is generated and sent to the goods management system. In addition, it can also be determined that the second warning information will not be generated only when the weighing data is 7450g to 7550 g.
According to the method for determining the distribution state, the distribution information is confirmed by monitoring the distribution information, the abnormal distribution state caused by the fault of the weighing unit is determined, and the accuracy of acquiring the distribution condition can be improved; and an alarm signal is sent to the commodity management system, so that the running state of the goods distribution terminal can be fed back in time, and the goods distribution terminal can be maintained in time.
In an embodiment, fig. 2 is a second schematic flow chart of the cargo allocation status determining method according to the embodiment of the present invention. Referring to fig. 2, the method includes:
step 1, acquiring distribution order data input by a distribution terminal, and acquiring distribution related information and a total weighing weight of commodities on a shelf after distribution;
step 2, calculating a difference value A between the total weight of the commodities on the goods shelf after the goods are distributed and the total weight of the commodities on the goods shelf before the goods are distributed;
step 3, requesting to obtain the theoretical weight B of the cargo allocation;
step 4, calculating the absolute value I A-B I of the difference between the difference value A and the theoretical weight of the current distribution;
and 5, considering the cargo allocation is abnormal under the condition that A-B is larger than a first threshold value N. If A-B I is less than or equal to the first threshold value N, then the shipment is considered normal.
In an embodiment, fig. 3 is a third schematic flowchart of a cargo allocation status determining method according to an embodiment of the present invention. Referring to fig. 3, the method includes:
step 1, acquiring distribution order data input by a distribution terminal and corresponding weight information of each commodity;
step 2, calculating theoretical weights X of all commodities on a shelf after goods distribution;
step 3, requesting to obtain the total weighing weight Y of all the commodities on the goods shelf;
step 4, calculating an absolute value I X-Y I of the difference between the total weight and the total weighed weight;
and 5, considering the cargo allocation is abnormal under the condition that X-Y is larger than a second threshold value M. And if X-Y is less than or equal to the preset difference value M, the goods distribution is considered to be normal.
In the following, the distribution status determining apparatus provided by the present invention is described, and the distribution status determining apparatus described below and the distribution status determining method described above may be referred to correspondingly.
Fig. 4 is a schematic structural diagram of a cargo allocation state determining apparatus according to an embodiment of the present invention. Referring to fig. 4, the cargo allocation state determining apparatus provided by the present invention includes:
a first determining module 410, configured to determine a distribution state according to the distribution order data, the distribution related information, and the total weighing weight of the goods on the shelf after distribution;
the shipment related information includes any one of:
the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation;
the theoretical weight of the goods on the shelf after the goods are distributed;
the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation;
the goods allocation code is used for determining weight information corresponding to the goods allocation;
the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data.
According to the goods allocation state determining device provided by the embodiment of the invention, the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation and the theoretical weight of goods on the goods shelf after goods allocation can be determined according to the goods allocation order data and the related information of the goods allocation, so that the accuracy and the traceability of the goods allocation data are ensured; the total weighing weight of the commodities on the goods shelf after the goods distribution is combined, the goods distribution state is determined, the goods distribution data can be effectively evaluated, and therefore the supervision on the goods distribution process is improved.
In an embodiment, the first determining module 410 is further specifically configured to:
determining a difference between the total weighed weight of the goods on the shelf after the goods are dispensed and the total weighed weight of the goods on the shelf before the goods are dispensed;
determining a first absolute value of the difference between the difference value and the theoretical weight of the shipment;
determining a shipment anomaly if the first absolute value is greater than a first threshold.
In an embodiment, the first determining module 410 is further specifically configured to:
determining a second absolute value of the difference between the total weighed weight of the goods on the shelf after the shipment and the theoretical weight of the goods on the shelf after the shipment;
determining a shipment anomaly if the second absolute value is greater than a second threshold.
In one embodiment, the total weighed weight is determined by any one of:
determining the total weighing weight according to a weighing unit arranged on a shelf;
determining the total weighing weight according to a weighing unit arranged on each goods channel of the goods shelf.
In one embodiment, the distribution status determining apparatus further comprises a first alarm module 420 for:
and reporting the alarm information to a commodity management system under the condition of determining that the goods allocation is abnormal.
In one embodiment, the cargo allocation state determining apparatus further includes a first warning module 420, which is further specifically configured to:
under the condition that the goods distribution is determined to be abnormal, monitoring goods distribution information is determined through shelf monitoring data;
and reporting the first alarm information to the commodity management system under the condition that the monitored goods allocation information is different from the goods allocation order data.
In one embodiment, the cargo allocation state determining apparatus further includes a first warning module 420, which is further specifically configured to:
under the condition that the goods distribution is determined to be abnormal, monitoring goods distribution information is determined through shelf monitoring data;
determining the monitoring theoretical weight of the commodities on the goods shelf after the goods are distributed according to the monitoring goods distribution information;
determining a third absolute value of the difference between the monitored theoretical weight and the total weighed weight of the items on the post-dispense shelf;
and reporting second alarm information to the commodity management system under the condition that the third absolute value is larger than a third threshold value.
Fig. 5 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 5: a processor (processor)510, a communication Interface (Communications Interface)520, a memory (memory)530 and a communication bus 540, wherein the processor 510, the communication Interface 520 and the memory 530 communicate with each other via the communication bus 540. Processor 510 may call logic instructions in memory 530 to perform the following method:
determining a goods distribution state according to the goods distribution order data, the goods distribution related information and the total weighing weight of the goods on the goods shelf after the goods distribution;
the shipment related information includes any one of:
the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation;
the theoretical weight of the goods on the shelf after the goods are distributed;
the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation;
the goods allocation code is used for determining weight information corresponding to the goods allocation;
the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data.
Furthermore, the logic instructions in the memory 530 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes 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 according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Further, embodiments of the present invention disclose a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, the computer is capable of performing the methods provided by the above-mentioned method embodiments, for example, comprising:
determining a goods distribution state according to the goods distribution order data, the goods distribution related information and the total weighing weight of the goods on the goods shelf after the goods distribution;
the shipment related information includes any one of:
the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation;
the theoretical weight of the goods on the shelf after the goods are distributed;
the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation;
the goods allocation code is used for determining weight information corresponding to the goods allocation;
the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes:
determining a goods distribution state according to the goods distribution order data, the goods distribution related information and the total weighing weight of the goods on the goods shelf after the goods distribution;
the shipment related information includes any one of:
the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation;
the theoretical weight of the goods on the shelf after the goods are distributed;
the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation;
the goods allocation code is used for determining weight information corresponding to the goods allocation;
the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data.
The above-described embodiments of the apparatus are merely illustrative, and 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
The above embodiments are merely illustrative of the present invention and are not to be construed as limiting the invention. Although the present invention has been described in detail with reference to the embodiments, it should be understood by those skilled in the art that various combinations, modifications or equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention, and the technical solution of the present invention is covered by the claims of the present invention.
Claims (10)
1. A method for determining a distribution status, comprising:
determining a goods distribution state according to the goods distribution order data, the goods distribution related information and the total weighing weight of the goods on the goods shelf after the goods distribution;
the shipment related information includes any one of:
the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation;
the theoretical weight of the goods on the shelf after the goods are distributed;
the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation;
the goods allocation code is used for determining weight information corresponding to the goods allocation;
the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data.
2. The method according to claim 1, wherein in a case where the information related to shipment includes a total weighed weight of the commodity on the shelf before shipment and a theoretical weight of shipment, the determining the shipment status based on the data of the shipment order, the information related to shipment, and the total weighed weight of the commodity on the shelf after shipment comprises:
determining a difference between the total weighed weight of the goods on the shelf after the goods are dispensed and the total weighed weight of the goods on the shelf before the goods are dispensed;
determining a first absolute value of the difference between the difference value and the theoretical weight of the shipment;
determining a shipment anomaly if the first absolute value is greater than a first threshold.
3. The method according to claim 1, wherein in a case where the shipment-related information includes a theoretical weight of the commodity on the post-shipment shelf, the determining the shipment state based on the shipment order data, the shipment-related information, and a total weighed weight of the commodity on the post-shipment shelf includes:
determining a second absolute value of the difference between the total weighed weight of the goods on the shelf after the shipment and the theoretical weight of the goods on the shelf after the shipment;
determining a shipment anomaly if the second absolute value is greater than a second threshold.
4. A distribution status determination method according to any of claims 1-3, wherein the total weighed weight is determined by any of:
determining the total weighing weight according to a weighing unit arranged on a shelf;
determining the total weighing weight according to a weighing unit arranged on each goods channel of the goods shelf.
5. A distribution status determination method according to any of claims 1-3, further comprising:
and reporting the alarm information to a commodity management system under the condition of determining that the goods allocation is abnormal.
6. The method for determining the distribution status according to claim 5, wherein the reporting of the alarm information to the commodity management system when determining that the distribution is abnormal comprises:
under the condition that the goods distribution is determined to be abnormal, monitoring goods distribution information is determined through shelf monitoring data;
and reporting the first alarm information to the commodity management system under the condition that the monitored goods allocation information is different from the goods allocation order data.
7. The method for determining the distribution status according to claim 5, wherein the reporting of the alarm information to the commodity management system when determining that the distribution is abnormal comprises:
under the condition that the goods distribution is determined to be abnormal, monitoring goods distribution information is determined through shelf monitoring data;
determining the monitoring theoretical weight of the commodities on the goods shelf after the goods are distributed according to the monitoring goods distribution information;
determining a third absolute value of the difference between the monitored theoretical weight and the total weighed weight of the items on the post-dispense shelf;
and reporting second alarm information to the commodity management system under the condition that the third absolute value is larger than a third threshold value.
8. A distribution status determination apparatus, comprising:
the first determining module is used for determining the goods distribution state according to the goods distribution order data, the goods distribution related information and the total weighing weight of the goods on the goods shelf after the goods distribution;
the shipment related information includes any one of:
the total weighing weight and the theoretical weight of goods on the goods shelf before goods allocation;
the theoretical weight of the goods on the shelf after the goods are distributed;
the goods allocation order data comprises goods allocation commodity codes, the number of the goods allocation commodities and commodity inventory on a goods shelf before the goods allocation;
the goods allocation code is used for determining weight information corresponding to the goods allocation;
the theoretical weight of the goods on the post-dispense shelf is determined based on the dispense order data.
9. 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 of cargo allocation status determination according to any of claims 1 to 7 are implemented when the processor executes the program.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the shipment status determination method according to any one of claims 1 to 7.
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