CN112561453A - Device control method, device, electronic device and computer readable medium - Google Patents

Device control method, device, electronic device and computer readable medium Download PDF

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CN112561453A
CN112561453A CN202110202843.XA CN202110202843A CN112561453A CN 112561453 A CN112561453 A CN 112561453A CN 202110202843 A CN202110202843 A CN 202110202843A CN 112561453 A CN112561453 A CN 112561453A
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storage state
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CN112561453B (en
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郭滨
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Shenzhen Zongzheng Intellectual Property Service Co ltd
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Beijing Missfresh Ecommerce Co Ltd
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Abstract

The embodiment of the disclosure discloses a device control method, a device control apparatus, an electronic device and a computer readable medium. One embodiment of the method comprises: acquiring information of each article in a target warehouse; generating a storage state value of an article corresponding to the article information to obtain a storage state value set; in response to the storage state values meeting the preset abnormal conditions in the storage state value set, selecting the storage state values meeting the preset abnormal conditions from the storage state value set as target storage state values to obtain target storage state value set; and controlling the associated scheduling equipment to execute scheduling operation on the articles corresponding to each target storage state value in the target storage state value set. According to the embodiment, the abnormally stored articles can be objectively determined, so that the frequency of missing the abnormally stored articles is reduced. And further, the effective utilization rate of warehouse space resources is improved. Thereby reducing the waste of warehouse space resources.

Description

Device control method, device, electronic device and computer readable medium
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a device control method, a device, an electronic device and a computer readable medium.
Background
With the development of internet technology and electronic commerce, monitoring and scheduling of inventory items is required. At present, when dispatching articles, the general adopted method is as follows: firstly, determining abnormally stored articles according to expert experience knowledge; then, the determined item is scheduled.
However, when the above-mentioned manner is adopted to dispatch the articles, the following technical problems often exist:
firstly, the mode of determining the abnormal articles is subjective, the abnormal conditions cannot be quantified, and the frequency of omitting the abnormal articles is high, so that the effective utilization rate of warehouse space resources is low, and further the waste of the warehouse space resources is caused;
secondly, the influence of the article retention time, the article residual quality guarantee time, the article total amount, the article flow rate and the article total volume of the article on the article storage abnormal condition cannot be considered respectively, the abnormal condition cannot be quantified, the frequency of missing the stored abnormal article is high, the effective utilization rate of warehouse space resources is low, and further the waste of the warehouse space resources is caused.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a device control method, apparatus, electronic device, and computer readable medium to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a device control method, including: acquiring each item information of each item in a target warehouse, wherein the item information in each item information comprises an item staying time, an item remaining quality guarantee time, an item total amount, an item flow rate and an item total volume; generating a storage state value of the article corresponding to the article information based on the article retention time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume included in each article information to obtain a storage state value set; in response to the storage state values meeting the preset abnormal conditions in the storage state value set, selecting the storage state values meeting the preset abnormal conditions from the storage state value set as target storage state values to obtain target storage state value set; and controlling the associated scheduling equipment to execute scheduling operation on the articles corresponding to each target storage state value in the target storage state value set.
In some embodiments, the generating a storage status value of an item corresponding to the item information includes:
generating a storage state value of the article corresponding to the article information by the following formula:
Figure DEST_PATH_IMAGE002
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE004
indicating the storage state value of the article corresponding to the article information,
Figure DEST_PATH_IMAGE006
represents the normalized item residence time period,
Figure DEST_PATH_IMAGE008
representing the remaining shelf life of the normalized item,
Figure DEST_PATH_IMAGE010
represents the total normalized quantity of the item,
Figure DEST_PATH_IMAGE012
represents the normalized total volume of the article,
Figure DEST_PATH_IMAGE014
representing the commodity turnover rate.
In a second aspect, some embodiments of the present disclosure provide an apparatus control device, the apparatus comprising: the system comprises an acquisition unit, a storage unit and a display unit, wherein the acquisition unit is configured to acquire each item information of each item in a target warehouse, and the item information in each item information comprises an item staying time, an item remaining quality guarantee time, an item total amount, an item turnover rate and an item total volume; the generating unit is configured to generate a storage state value of the article corresponding to the article information based on the article staying time, the article remaining quality guarantee time, the article total amount, the article transfer rate and the article total volume included in each article information, so as to obtain a storage state value set; a selecting unit configured to select a storage state value meeting a predetermined abnormal condition from the storage state value set as a target storage state value in response to a storage state value meeting the predetermined abnormal condition existing in the storage state value set, so as to obtain a target storage state value set; and the control unit is configured to control the associated scheduling equipment to execute scheduling operation on the articles corresponding to each target storage state value in the target storage state value set.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: by the equipment control method of some embodiments of the present disclosure, waste of warehouse space resources is reduced. Specifically, the reasons for wasting warehouse space resources are: the mode of determining the abnormal articles is subjective, the abnormal conditions cannot be quantified, the times of omitting the abnormal articles are more, the effective utilization rate of warehouse space resources is low, and further the waste of the warehouse space resources is caused. Based on this, the apparatus control method of some embodiments of the present disclosure first acquires individual item information of individual items in the target warehouse. Wherein, the article information in the article information comprises the residence time of the article, the residual quality guarantee time of the article, the total amount of the article, the article flow rate and the total volume of the article. Therefore, the obtained article residence time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume included in each article information can provide support for generating each storage state value. And then, generating a storage state value of the article corresponding to the article information based on the article retention time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume included in each article information, and obtaining a storage state value set. Therefore, the storage state of the articles can be quantitatively represented through the article residence time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume which are included in the obtained article information. And then, responding to the storage state values meeting the preset abnormal condition in the storage state value set, and selecting the storage state values meeting the preset abnormal condition from the storage state value set as target storage state values to obtain the target storage state value set. In this way, the abnormal storage state value can be extracted on the condition that the predetermined abnormal condition is satisfied in the generated storage state value set. And finally, controlling the associated scheduling equipment to execute scheduling operation on the articles corresponding to each target storage state value in the target storage state value set. Therefore, the scheduling equipment can be automatically controlled to schedule the abnormal articles according to the extracted abnormal storage state value. And because the storage state value of the article is generated, the article with abnormal storage can be objectively determined, and the abnormal condition is quantified, so that the frequency of omitting the article with abnormal storage is reduced. And further, the effective utilization rate of warehouse space resources is improved. Thereby reducing the waste of warehouse space resources.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of one application scenario of a device control method according to some embodiments of the present disclosure;
FIG. 2 is a flow chart of some embodiments of a plant control method according to the present disclosure;
FIG. 3 is a flow chart of further embodiments of a plant control method according to the present disclosure;
FIG. 4 is a schematic block diagram of some embodiments of a plant control apparatus according to the present disclosure;
FIG. 5 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of a device control method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may obtain respective item information 102 for respective items in the target warehouse. The article information in each article information 102 includes the article staying time, the article remaining shelf life, the article total amount, the article turnover rate, and the article total volume. Then, the computing device 101 may generate a storage status value of the article corresponding to the article information based on the article staying time, the article remaining quality guarantee time, the article total amount, the article circulation rate, and the article total volume included in each article information in the article information 102, so as to obtain the storage status value set 103. Thereafter, the computing apparatus 101 may select, as a target storage status value, a storage status value that meets a predetermined abnormal condition from the above-described storage status value set 103 in response to the presence of a storage status value that meets the predetermined abnormal condition in the above-described storage status value set, resulting in a target storage status value set 104. Finally, the computing device 101 may control the associated scheduling device 105 to perform scheduling operations on the items corresponding to the respective target storage status values in the set of target storage status values 104.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a device control method according to the present disclosure is shown. The equipment control method comprises the following steps:
step 201, obtaining each item information of each item in the target warehouse.
In some embodiments, an execution subject of the device control method (e.g., the computing device 101 shown in fig. 1) may acquire the respective item information of the respective items in the target warehouse from the terminal through a wired connection manner or a wireless connection manner. The article information in the article information may include an article staying time, an article remaining quality guarantee time, an article total amount, an article turnover rate, and an article total volume. The target warehouse may be a warehouse in which a storage state of an article needs to be monitored. The article information may be information related to the article at the target time. It is understood that the target time may be a current time or a historical time. The stay time of the article may be a target time, and the stay time of the article corresponding to the article information in the target warehouse. The remaining quality guarantee period of the article may be a time interval from the target time to a quality guarantee expiration time of the article corresponding to the article information. The total quantity of the articles may be a total quantity of the articles corresponding to the article information at the target time. The article circulation rate may be a circulation rate of the article corresponding to the article information at the target time (for example, the circulation rate may be a ratio of a sales volume to a total volume of the article when the article is put in storage). The total volume of the articles may be the total volume of the articles, based on the total amount of the articles. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future. Therefore, the obtained article residence time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume included in each article information can provide support for generating each storage state value.
As an example, the item information may be:
"[ item residence time: 30 days, the remaining shelf life of the article: 40 days, total amount of goods: 100, article turnover: 0.6, total article volume: 50 cubic meters ],
[ residence time of article: 100 days, the remaining shelf life of the product: 30 days, total amount of goods: 120, article turnover: 0.5, total volume of article: 60 cubic meters ],
[ residence time of article: 90 days, the remaining shelf life of the product: 2 days, total amount of goods: 1000, article turnover: 0.2, total volume of article: 500 cubic meters ],
[ residence time of article: 90 days, the remaining shelf life of the product: 2 days, total amount of goods: 1000, article turnover: 0.2, total volume of article: 500 cubic meters. Among the above item information, 1 st item information [ item staying time: 30 days, the remaining shelf life of the article: 40 days, total amount of goods: 100, article turnover: 0.6, total article volume: 50 cubic meters ] may be "item 001". Item information [ item stay length: 100 days, the remaining shelf life of the product: 30 days, total amount of goods: 120, article turnover: 0.5, total volume of article: 60 cubic meters ] may be "item 002". Item information [ item stay length: 90 days, the remaining shelf life of the product: 2 days, total amount of goods: 1000, article turnover: 0.2, total volume of article: 500 cubic meters ] may be "item 003". Item information item 4 [ item stay length: 90 days, the remaining shelf life of the product: 2 days, total amount of goods: 1000, article turnover: 0.2, total volume of article: 500 cubic meters ] may be "item 004".
Step 202, generating a storage state value of the article corresponding to the article information based on the article retention time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume included in each article information, and obtaining a storage state value set.
In some embodiments, the executing body may generate a storage status value of the article corresponding to the article information based on an article staying time, an article remaining quality guarantee time, an article total amount, an article flow rate, and an article total volume included in each article information in the article information, so as to obtain the storage status value set. In practice, the execution body may generate the storage state value of the article corresponding to the article information according to the following formula:
Figure DEST_PATH_IMAGE016
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE018
indicating the length of time that the article remains.
Figure DEST_PATH_IMAGE020
Indicating the remaining shelf life of the item.
Figure DEST_PATH_IMAGE022
Representing the total amount of the above-mentioned items.
Figure DEST_PATH_IMAGE024
Representing the total volume of the article.
Figure DEST_PATH_IMAGE026
And indicating the storage state value of the article corresponding to the article information.
Figure DEST_PATH_IMAGE028
Indicating the article turnover rate. Therefore, the storage state of the articles can be quantitatively represented through the article residence time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume which are included in the obtained article information. The larger the value of the storage state is, the more the storage state of the article tends to be abnormal.
As an example, the above item information may be item information [ item stay time: 30 days, the remaining shelf life of the article: 40 days, total amount of goods: 100, article turnover: 0.6, total article volume: 50 cubic meter]. Then
Figure DEST_PATH_IMAGE029
Is 30.
Figure DEST_PATH_IMAGE030
Is 40.
Figure 685568DEST_PATH_IMAGE022
Is 100.
Figure 986230DEST_PATH_IMAGE024
Is 50.
Figure 929916DEST_PATH_IMAGE028
Is 0.6. The execution body may generate a storage state value of the article corresponding to the article information by the formula
Figure DEST_PATH_IMAGE032
. Here, the value of the storage status value may be retained to two digits after the decimal point. Thus, the resulting set of storage status values is [6.94, 7.35, 9.29]。
Step 203, in response to the storage state values meeting the predetermined abnormal condition in the storage state value set, selecting the storage state values meeting the predetermined abnormal condition from the storage state value set as target storage state values to obtain target storage state value set.
In some embodiments, the execution agent may select, in response to a storage status value meeting a predetermined exception condition existing in the storage status value set, a storage status value meeting the predetermined exception condition from the storage status value set as a target storage status value, to obtain a target storage status value set. The predetermined abnormal condition may be "the storage state value is equal to or greater than a predetermined threshold value". Here, the setting of the predetermined threshold is not limited. In practice, first, the execution agent may determine whether there is a deposit status value in the deposit status value set that meets a predetermined abnormal condition. Then, in response to the determination being yes, a storage status value that meets the predetermined abnormal condition may be selected from the storage status value set as a target storage status value, resulting in a target storage status value set. In this way, the abnormal storage state value can be extracted on the condition that the predetermined abnormal condition is satisfied in the generated storage state value set.
As an example, the above storage status value set may be [6.94, 7.35, 9.29, 9.29 ]. The predetermined threshold may be [9 ]. The predetermined abnormal condition may be "the storage state value is equal to or greater than the predetermined threshold value 9". First, the execution agent may determine that there is a storage status value satisfying a predetermined abnormal condition "storage status value is equal to or greater than a predetermined threshold value 9" in the storage status value set. Then, in response to a determination of yes, a storage status value that meets the above-described predetermined abnormal condition "storage status value is equal to or greater than a predetermined threshold value 9" may be selected from the above-described storage status value set as a target storage status value, resulting in a target storage status value set [9.29, 9.29 ].
And 204, controlling the associated scheduling equipment to execute scheduling operation on the articles corresponding to each target storage state value in the target storage state value set.
In some embodiments, the executing entity may control the associated scheduling device to perform a scheduling operation on the article corresponding to each target storage status value in the target storage status value set. The scheduling device may be a device for scheduling an article. The above-described scheduling operation may be an operation of transporting an article. Therefore, the scheduling equipment can be automatically controlled to schedule the abnormal articles according to the extracted abnormal storage state value.
As an example, the set of target deposit status values may be [9.29, 9.29 ]. The executing body can control the dispatching equipment to execute dispatching operation on the articles 003 and 004 corresponding to the target storage state values [9.29] and [9.29 ].
Optionally, the execution body may perform sorting processing on each target storage state value in the target storage state value set to obtain a target storage state value sequence. In practice, the execution body may perform descending order sorting processing on the target storage state values to obtain a target storage state value sequence.
In some optional implementation manners of some embodiments, the executing entity may control the associated scheduling device to perform a scheduling operation on the item corresponding to each target storage status value in the target storage status value sequence. In practice, the execution body may sequentially execute the scheduling operation on the articles corresponding to the target storage state values according to the sequence of the target storage state values in the target storage state value sequence. Thus, the articles can be dispatched in sequence according to the abnormal degree of the storage state.
Alternatively, first, the execution subject may determine, as a target item information set, each item information corresponding to each target storage status value in the target storage status value set. Then, the execution subject may send the target item information set to an associated display device, so that the display device displays each target item information in the target item information set. In practice, the executing body may send the target item information set to an associated display device through a wired connection manner or a wireless connection manner. Thus, the display device can display the article information of the article with the abnormal storage state.
Optionally, the item information may further include an item number. The article number may be a number for identifying an article. First, the execution body may extract an item number as a target item number from each target item information of the target item information set, to obtain a target item number set. Then, the target item number set may be sent to the display device, so that the display device displays each target item number in the target item number set. In practice, the execution main body may send the target item number set to the display device through a wired connection manner or a wireless connection manner. Thus, the display device can display the item number of the item whose storage state is abnormal.
Optionally, the executing body may control the associated alarm device to perform an alarm operation in response to a storage status value meeting the predetermined abnormal condition existing in the storage status value set. The alarm device can be a device for alarm prompt. For example, the alarm device may be an audible and visual alarm. The execution main body can respond to the storage state value meeting the preset abnormal condition in the storage state value set and control the related audible and visual alarm to emit the prompting sound and the prompting light at the same time. Thus, when there is an article in an abnormal storage state, an alarm can be given.
The above embodiments of the present disclosure have the following advantages: by the equipment control method of some embodiments of the present disclosure, waste of warehouse space resources is reduced. Specifically, the reasons for wasting warehouse space resources are: the mode of determining the abnormal articles is subjective, the abnormal conditions cannot be quantified, the times of omitting the abnormal articles are more, the effective utilization rate of warehouse space resources is low, and further the waste of the warehouse space resources is caused. Based on this, the apparatus control method of some embodiments of the present disclosure first acquires individual item information of individual items in the target warehouse. Wherein, the article information in the article information comprises the residence time of the article, the residual quality guarantee time of the article, the total amount of the article, the article flow rate and the total volume of the article. Therefore, the obtained article residence time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume included in each article information can provide support for generating each storage state value. And then, generating a storage state value of the article corresponding to the article information based on the article retention time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume included in each article information, and obtaining a storage state value set. Therefore, the storage state of the articles can be quantitatively represented through the article residence time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume which are included in the obtained article information. And then, responding to the storage state values meeting the preset abnormal condition in the storage state value set, and selecting the storage state values meeting the preset abnormal condition from the storage state value set as target storage state values to obtain the target storage state value set. In this way, the abnormal storage state value can be extracted on the condition that the predetermined abnormal condition is satisfied in the generated storage state value set. And finally, controlling the associated scheduling equipment to execute scheduling operation on the articles corresponding to each target storage state value in the target storage state value set. Therefore, the scheduling equipment can be automatically controlled to schedule the abnormal articles according to the extracted abnormal storage state value. And because the storage state value of the article is generated, the article with abnormal storage can be objectively determined, and the abnormal condition is quantified, so that the frequency of omitting the article with abnormal storage is reduced. And further, the effective utilization rate of warehouse space resources is improved. Thereby reducing the waste of warehouse space resources.
With further reference to fig. 3, a flow 300 of further embodiments of a device control method is shown. The process 300 of the apparatus control method includes the following steps:
step 301, obtaining each item information of each item in the target warehouse.
In some embodiments, the specific implementation of step 301 and the technical effect thereof may refer to step 201 in those embodiments corresponding to fig. 2, and are not described herein again.
Step 302, normalizing the article residence time to obtain the normalized article residence time.
In some embodiments, the executing entity of the device control method (e.g., the computing device 101 shown in fig. 1) may perform normalization processing on the item-stay time to obtain a normalized item-stay time. In practice, the execution subject may perform normalization processing on the article staying time based on the article staying time included in the article information by using a Min-Max standardized formula, so as to obtain a normalized article staying time. Therefore, the stay time of the articles can be mapped in the range of [0, 1], and support can be provided for unifying the dimension of the data of each dimension when the storage state value is generated.
As an example, the above-mentioned article staying time period may be the article information [ article staying time period: 30 days, the remaining shelf life of the article: 40 days, total amount of goods: 100, article turnover: 0.6, total article volume: 50 cubic meter]The product in (1)The product stays for a long time (30 days)]. The minimum value of the stay time of each item included in the information of each item exemplified in step 201 is 30. The maximum value of the stay time of each item included in each item information exemplified in step 201 is 100. The execution main body can stay for a long time of 30 days]Carrying out normalization treatment to obtain the residence time of the normalized article
Figure DEST_PATH_IMAGE034
Step 303, performing normalization processing on the remaining quality guarantee period of the article to obtain the normalized remaining quality guarantee period of the article.
In some embodiments, the execution subject may perform normalization processing on the remaining shelf life of the product to obtain a normalized remaining shelf life of the product. In practice, the execution subject may perform normalization processing on the remaining quality guarantee period of each article based on the remaining quality guarantee period of each article included in the information of each article through a Min-Max standardized formula to obtain a normalized remaining quality guarantee period of each article. Therefore, the residual quality guarantee period of the article can be mapped in the range of [0, 1], and support can be provided for unifying the dimension of data of each dimension when the storage state value is generated.
As an example, the remaining shelf life of the product may be the product information [ product stay time: 30 days, the remaining shelf life of the article: 40 days, total amount of goods: 100, article turnover: 0.6, total article volume: 50 cubic meter]The remaining shelf life of the product is 40 days]. The minimum value of the remaining shelf life of each article included in each article information exemplified in step 201 is 2. The maximum value of the remaining shelf life of each article included in each article information exemplified in step 201 is 40. The execution body can keep the remaining quality guarantee period of the product for 40 days]Carrying out normalization treatment to obtain the remaining quality guarantee time of the normalized article
Figure DEST_PATH_IMAGE036
And step 304, carrying out normalization processing on the total quantity of the articles to obtain the normalized total quantity of the articles.
In some embodiments, the execution subject may perform normalization processing on the total quantity of the goods to obtain a normalized total quantity of the goods. In practice, the execution subject may perform normalization processing on the total quantity of the articles based on the total quantity of the articles included in the information of the articles through a Min-Max normalization formula to obtain a normalized total quantity of the articles. Therefore, the total quantity of the articles can be mapped in the range of [0, 1], and support can be provided for unifying the dimension of the data of each dimension when the storage state value is generated.
As an example, the total amount of the articles may be the article information [ the length of stay of the articles: 30 days, the remaining shelf life of the article: 40 days, total amount of goods: 100, article turnover: 0.6, total article volume: 50 cubic meter]Total amount of articles in [100 ]]. The minimum value of the total amount of each item included in each item information exemplified in step 201 is 100. The maximum value of the total amount of each item included in each item information exemplified in step 201 is 1000. The execution main body can be used for counting the total quantity of the articles [100 ]]Carrying out normalization treatment to obtain the total normalized quantity of the articles
Figure DEST_PATH_IMAGE038
And 305, performing normalization processing on the total volume of the article to obtain the normalized total volume of the article.
In some embodiments, the executing body may perform normalization processing on the total volume of the article to obtain a normalized total volume of the article. In practice, the execution main body may perform normalization processing on the total volume of the articles based on the total volume of the articles included in the information of the articles through a Min-Max normalization formula to obtain a normalized total volume of the articles. Therefore, the total volume of the article can be mapped in the range of [0, 1], and support can be provided for unifying the dimension of data of each dimension when the storage state value is generated.
As an example, the total volume of the article may be the article information [ the residence time of the article: 30 days, the remaining shelf life of the article: 40 days, total amount of goods: 100, article turnover: 0.6, total article volume:50 cubic meter]Total volume of the article in (50 cubic meters)]. The minimum value of the total volume of each article included in the information of each article exemplified in step 201 is 50. The maximum value of the total volume of each article included in the information of each article exemplified in step 201 is 500. The above-mentioned executive body can be used for total volume of article [50 cubic meters ]]Carrying out normalization treatment to obtain the total volume of the normalized article
Figure DEST_PATH_IMAGE040
And step 306, generating a storage state value of the article corresponding to the article information based on the normalized article retention time, the normalized article residual quality guarantee time, the normalized article total amount, the article turnover rate and the normalized article total volume.
In some embodiments, the execution body may generate the storage status value of the item corresponding to the item information in various manners based on the normalized item retention time period, the normalized item remaining quality guarantee time period, the normalized item total amount, the item turnover rate, and the normalized item total volume.
In some optional implementation manners of some embodiments, the executing entity may generate the storage state value of the item corresponding to the item information by using the following formula:
Figure DEST_PATH_IMAGE041
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE042
and indicating the storage state value of the article corresponding to the article information.
Figure DEST_PATH_IMAGE043
Representing the normalized article residence time described above.
Figure 128554DEST_PATH_IMAGE008
Representing the remaining shelf life of the normalized article.
Figure DEST_PATH_IMAGE044
Representing the normalized total quantity of the product.
Figure 841295DEST_PATH_IMAGE012
Representing the normalized total article volume described above.
Figure DEST_PATH_IMAGE045
Indicating the article turnover rate.
As an example, the above item information may be item information [ item stay time: 30 days, the remaining shelf life of the article: 40 days, total amount of goods: 100, article turnover: 0.6, total article volume: 50 cubic meter]. Normalizing item residence time
Figure 578438DEST_PATH_IMAGE043
The normalized item dwell time period of step 302 example may be 0. Normalizing remaining shelf life of an item
Figure 9419DEST_PATH_IMAGE008
There may be a normalized item remaining shelf life of 1 as exemplified by step 303. Normalizing total quantity of goods
Figure 841109DEST_PATH_IMAGE044
The normalized total quantity of items illustrated in step 304 may be 0. Normalizing the total volume of the article
Figure 408356DEST_PATH_IMAGE012
The normalized article total volume of step 305 example may be 0. Rate of article turnover
Figure 549357DEST_PATH_IMAGE045
May be 0.6. The execution body may generate a storage state value of the article corresponding to the article information by the formula
Figure DEST_PATH_IMAGE047
. Here, the value of the storage status value may be retained to two digits after the decimal point.
The above formula and its related content are used as an invention point of the embodiment of the present disclosure, and the technical problem mentioned in the background art is solved that the influence of the article retention time, the article remaining quality guarantee time, the article total amount, the article turnover rate and the article total volume of the article on the article storage abnormal condition cannot be considered, the abnormal condition cannot be quantified, the number of times of omitting the article with abnormal storage is large, the effective utilization rate of warehouse space resources is low, and further the waste of warehouse space resources is caused. ". The factors that lead to wasted warehouse space resources tend to be as follows: the influence of the article retention time, the article residual quality guarantee time, the article total amount, the article flow rate and the article total volume of the article on the article storage abnormal condition cannot be considered respectively, the abnormal condition cannot be quantified, the frequency of missing the stored abnormal article is high, and the effective utilization rate of warehouse space resources is low. If the above factors are solved, the effect of reducing the waste of warehouse space resources can be achieved. To achieve this effect, the present disclosure introduces product residence time, product remaining shelf life, product total, product turnover rate, and product total volume. The storage state value of the article corresponding to the article information can be determined by normalizing the article residence time, the normalized article residual quality guarantee time, the normalized article total amount, the article turnover rate and the normalized article total volume. The larger the value of the storage state is, the more the storage state of the article tends to be abnormal. The longer the normalized article retention time is, the more the article storage state tends to be abnormal. The shorter the remaining shelf life of the normalized goods is, the more the storage state of the goods tends to be abnormal. The larger the normalized total quantity of the articles, the more the storage state of the articles tends to be abnormal. The smaller the article circulation rate, the more the storage state of the article tends to be abnormal. The larger the normalized article total volume is, the more the article storage state tends to be abnormal. The above formula is determined by normalizing the article residence time, the normalized article residual quality guarantee time, the normalized article total amount, the article transfer rate and the normalized article total volume, and the influence of the article residence time, the article residual quality guarantee time, the article total amount, the article transfer rate and the article total volume of the article on the abnormal article storage condition can be comprehensively considered. Therefore, the abnormal conditions can be quantified, and the frequency of missing the abnormal articles can be reduced. And further the effective utilization rate of warehouse space resources can be improved. Thereby reducing the waste of warehouse space resources.
Step 307, in response to the storage state values meeting the predetermined abnormal condition in the storage state value set, selecting the storage state values meeting the predetermined abnormal condition from the storage state value set as target storage state values to obtain target storage state value set.
And 308, controlling the associated scheduling equipment to execute scheduling operation on the article corresponding to each target storage state value in the target storage state value set.
In some embodiments, the specific implementation of steps 307-308 and the technical effect thereof can refer to steps 203-204 in those embodiments corresponding to fig. 2, which are not described herein again.
As can be seen from fig. 3, compared with the description of some embodiments corresponding to fig. 2, the flow 300 of the device control method in some embodiments corresponding to fig. 3 embodies the step of expanding the storage status value of the item corresponding to the item information. Thus, the solutions described in the embodiments can comprehensively consider the influence of the retention time of the articles, the remaining shelf life of the articles, the total amount of the articles, the flow rate of the articles and the total volume of the articles on the abnormal condition of the storage of the articles. Therefore, the abnormal conditions can be quantified, and the frequency of missing the abnormal articles can be reduced. And further the effective utilization rate of warehouse space resources can be improved. Thereby reducing the waste of warehouse space resources.
With further reference to fig. 4, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of a device control apparatus, which correspond to those of the method embodiments illustrated in fig. 2, and which may be particularly applicable in various electronic devices.
As shown in fig. 4, the device control apparatus 400 of some embodiments includes: an acquisition unit 401, a generation unit 402, a selection unit 403, and a control unit 404. The obtaining unit 401 is configured to obtain each item information of each item in the target warehouse, where the item information in each item information includes an item staying time, an item remaining quality guarantee time, an item total amount, an item turnover rate, and an item total volume; the generating unit 402 is configured to generate a storage status value of the article corresponding to the article information based on an article staying time, an article remaining quality guarantee time, an article total amount, an article turnover rate and an article total volume included in each article information in the article information, so as to obtain a storage status value set; the selecting unit 403 is configured to, in response to a storage status value meeting a predetermined abnormal condition existing in the storage status value set, select a storage status value meeting the predetermined abnormal condition from the storage status value set as a target storage status value, and obtain a target storage status value set; the control unit 404 is configured to control the associated scheduling device to perform scheduling operations on the items corresponding to the respective target storage status values in the set of target storage status values.
In an optional implementation manner of some embodiments, the device control apparatus 400 may further include: and a sorting unit (not shown in the figure) configured to sort each target storage state value in the target storage state value set to obtain a target storage state value sequence.
In an optional implementation of some embodiments, the control unit of the device control apparatus 400 may be further configured to: and controlling the associated scheduling equipment to execute scheduling operation on the articles corresponding to the target storage state values in the target storage state value sequence.
It will be understood that the elements described in the apparatus 400 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.
Referring now to FIG. 5, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1) 500 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring each item information of each item in a target warehouse, wherein the item information in each item information comprises an item staying time, an item remaining quality guarantee time, an item total amount, an item flow rate and an item total volume; generating a storage state value of the article corresponding to the article information based on the article retention time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume included in each article information to obtain a storage state value set; in response to the storage state values meeting the preset abnormal conditions in the storage state value set, selecting the storage state values meeting the preset abnormal conditions from the storage state value set as target storage state values to obtain target storage state value set; and controlling the associated scheduling equipment to execute scheduling operation on the articles corresponding to each target storage state value in the target storage state value set.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a generation unit, a selection unit, and a control unit. The names of the units do not form a limitation on the units themselves under certain conditions, for example, the control unit may also be described as a unit for controlling the associated scheduling device to perform scheduling operation on the articles corresponding to each target storage status value in the target storage status value set.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims (10)

1. An apparatus control method comprising:
acquiring each item information of each item in a target warehouse, wherein the item information in each item information comprises item retention time, item residual quality guarantee time, item total amount, item flow rate and item total volume;
generating a storage state value of the article corresponding to the article information based on the article retention time, the article remaining quality guarantee time, the article total amount, the article flow rate and the article total volume included in each article information to obtain a storage state value set;
in response to the storage state values meeting the preset abnormal conditions in the storage state value set, selecting the storage state values meeting the preset abnormal conditions from the storage state value set as target storage state values to obtain a target storage state value set;
and controlling the associated scheduling equipment to execute scheduling operation on the articles corresponding to each target storage state value in the target storage state value set.
2. The method of claim 1, wherein the method further comprises:
and sequencing all the target storage state values in the target storage state value set to obtain a target storage state value sequence.
3. The method of claim 2, wherein said controlling the associated scheduling device to perform scheduling operations on items corresponding to respective ones of the set of target storage status values comprises:
and controlling the associated scheduling equipment to execute scheduling operation on the articles corresponding to the target storage state values in the target storage state value sequence.
4. The method of claim 1, wherein the method further comprises:
determining each item information corresponding to each target storage state value in the target storage state value set as a target item information set;
and sending the target item information set to associated display equipment, so that the display equipment displays each piece of target item information in the target item information set.
5. The method of claim 4, wherein the item information further comprises an item number; and
the method further comprises the following steps:
extracting an article number from each piece of target article information of the target article information set to serve as a target article number to obtain a target article number set;
and sending the target item number set to the display equipment, so that the display equipment displays each target item number in the target item number set.
6. The method of claim 1, wherein the method further comprises:
and controlling the associated alarm equipment to execute an alarm operation in response to the storage state value meeting the preset abnormal condition existing in the storage state value set.
7. The method according to claim 1, wherein the generating of the storage status value of the item corresponding to the item information includes:
carrying out normalization processing on the article staying time to obtain normalized article staying time;
carrying out normalization processing on the residual quality guarantee time of the article to obtain the normalized residual quality guarantee time of the article;
carrying out normalization processing on the total quantity of the articles to obtain the total quantity of normalized articles;
carrying out normalization processing on the total volume of the article to obtain the total volume of the normalized article;
and generating a storage state value of the goods corresponding to the goods information based on the normalized goods staying time, the normalized goods residual quality guarantee time, the normalized goods total amount, the goods turnover rate and the normalized goods total volume.
8. An apparatus control device comprising:
the system comprises an acquisition unit, a storage unit and a display unit, wherein the acquisition unit is configured to acquire each item information of each item in a target warehouse, and the item information in each item information comprises an item staying time, an item remaining quality guarantee time, an item total amount, an item turnover rate and an item total volume;
the generating unit is configured to generate a storage state value of the article corresponding to the article information based on the article staying time, the article remaining quality guarantee time, the article total amount, the article transfer rate and the article total volume included in each article information, so as to obtain a storage state value set;
the selecting unit is configured to respond to the storage state values meeting a preset abnormal condition in the storage state value set, select the storage state values meeting the preset abnormal condition from the storage state value set as target storage state values, and obtain a target storage state value set;
and the control unit is configured to control the associated scheduling equipment to execute scheduling operation on the articles corresponding to each target storage state value in the target storage state value set.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.
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