CN117689149A - System and method for warehouse sorting and turning operation - Google Patents
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Abstract
The application relates to the field of warehouse sorting, in particular to a system and a method for warehouse sorting turning operation. A system for warehouse sorting and turning operation comprises an intelligent scheduling module, an operation control module and a port operation module. According to the invention, the priority calculation is carried out on the commodity sorting orders, and the commodity sorting orders are intelligently ordered, so that each commodity sorting order can be completed completely, the condition that a large amount of area is occupied by cargoes due to simultaneous execution of multiple orders is optimized, meanwhile, the distribution of pipeline operation is controlled, the completion time of the commodity sorting orders is improved, and the purposes of optimizing distribution timeliness and performance cost are achieved.
Description
Technical Field
The application relates to the field of warehouse sorting, in particular to a system and a method for warehouse sorting turning operation.
Background
The warehouse sorting operation personnel need to sort out the commodity of the current order from the warehouse and put the commodity into the appointed goods collecting area every day, and the present needs to manually establish the order, then seek commodity, check the quantity of order, sort commodity, accomplish the order, the efficiency is very low and data real-time nature is not high, and a plurality of orders go on simultaneously, easily cause many to pick up and miss to pick up to goods are all spread in goods collecting area, and area is big, and delivery distance is long, directly influences delivery ageing and performance cost, causes the loss for the company.
Disclosure of Invention
According to the system and the method for warehouse sorting and turning operation, disclosed by the invention, the priority calculation is carried out on the commodity sorting orders, and the commodity sorting orders are intelligently ordered, so that each commodity sorting order can be completed completely, the condition that a large amount of area is occupied by cargoes due to simultaneous execution of multiple orders is optimized, meanwhile, pipeline operation distribution is controlled, the completion time of the commodity sorting orders is improved, and the purposes of optimizing distribution timeliness and performance cost are achieved.
The technical scheme of the invention is as follows: a method for warehouse sorting and turning operation, comprising:
s1, an intelligent scheduling module establishes a commodity sorting order D n N=1, 2,3 · the contents of which are, N is all the goods sorting orders D established n And calculates the total number of commodity sorting orders D n Consumption C for sorting of (C) n ＝αL n +βQ n Commodity sorting order D n Comprises order distance L between storage point and collection point of commodity n And total order quantity Q of order merchandise n Alpha is the preset weight parameter of the order distance, beta is the preset weight parameter of the total number of orders, and all sorting consumption C in the order sorting table are traversed n To sort consumption C n Sequentially sorting downwards from small to large, updating an order sorting table, and correspondingly storing sorting consumption C n Corresponding commodity sorting order D n Minimizing sort consumption C in order sort table n Corresponding commodity sorting order D n Sends the commodity sorting order D to the job control module and sorts the commodities sent in the order sorting table n Corresponding sorting consumption C n Deleting;
s2, the job control module receives the commodity sorting order D sent by the intelligent scheduling module n Extracting commodity sorting order D n ComprisesThe storage point and the collection point of the commodity are located, and the order D is sorted according to the commodity n Corresponding storage point and collection point analysis commodity sorting order D n Sorting assembly line X with shortest sorting distance m M=1, 2, 3.M, M being the total number of sorting lines and sorting the obtained goods order D n Sending the message to a port operation module;
s3, acquiring commodity sorting order D by using port operation module n Acquiring commodity sorting order D n Corresponding sorting assembly line X m Scanned commodity information, scanned completed commodity sorting order D n After all the commodities are in the container, the scanned commodities are sorted into order D n The goods are sent to the gathering point through a delivery truck, and an order completion signal is sent to the operation control module;
s4, the operation control module obtains a commodity sorting order D through the port operation module n On-going corresponding sorting pipeline X m Scanning the number of goods to calculate a goods sort order D n After receiving the order completion signal sent by the port operation module, recording commodity sorting order D n Sorting job data F of (2) n Carrying out data analysis and re-receiving commodity sorting order D sent by the intelligent scheduling module n 。
As a preferable aspect, the method further comprises the step of reminding and warning the long-time unfinished commodity sorting order, and specifically comprises the following steps:
the data monitoring module acquires an order D for sorting commodities by the operation control module n Sorting progress, commodity sorting order D n When sorting is entered, recording commodity sorting order D n Duration T of operation of (2) n Duration of operation T n Representing a sorting order D for goods n Time accumulated from start of job and for duration of job T n Make a determination as to whether or not "T" is satisfied n >ε n ”，ε n Epsilon is the working time threshold n ＝γC n Gamma is the time-consuming related parameter for sorting, if the working time T n Satisfy T n >ε n ", judge the goods sortingOrder D n Abnormal, sorting order D of commodity n Sending to the port operation module and carrying warning signal, if the operation time T n Not satisfy T n >ε n ", no operation is performed.
As a preferred aspect, the method further comprises the step of automatically compensating the commodity sorting order, and the specific steps are as follows:
the intelligent scheduling module establishes commodity sorting order D n Then, the order sorting list is stored, and all commodity sorting orders D in the order sorting list are calculated n Compensating sorting consumption B of (2) n ＝αL n +βQ n -ηG n ，G n To establish commodity sorting order D n Corresponding to the continuously recorded order waiting time, compensating the sorting consumption B n Sequentially sorting downwards from small to large, updating an order sorting table, and correspondingly storing compensation sorting consumption B n Corresponding commodity sorting order D n 。
As a preferred aspect, the method further comprises the step of manually intervening the emergency commodity sorting list, and the specific steps are as follows:
the operation management module receives an emergency order signal, wherein the emergency order signal carries a commodity sorting order D needing emergency treatment n Marked as an urgent sort order J n And send an emergency sort order J to the intelligent scheduling module n ；
The intelligent scheduling module receives an emergency sorting order J n Matching corresponding commodity sorting order D in order sorting table n Sorting successfully matched commodity order D n Corresponding compensation sorting consumption B n A value of 0 is assigned and the order ranking table is updated.
As a preferred aspect, the method further includes the step of performing data analysis on the job sorting data in S4, specifically including the steps of:
the job control module acquires and stores all job sorting data F of the job control module in the process of the job n And sending the data to a data analysis module; the data analysis module obtains all job sorting data F n Extracting job sorting data F n Internal corresponding storageJob date and sort pipeline X m Counting the completed commodity sorting orders D in different operation dates n Counting the number of different sorting pipelines X m And finishing the number of commodity scanning in different dates, and storing through a preset chart model.
A system for warehouse sorting and turning operation, comprising:
the intelligent scheduling module is used for establishing commodity sorting orders, sorting the commodity sorting orders, sending the commodity sorting orders to the operation control module, and receiving and executing the emergency sorting signals sent by the operation management module;
the operation control module is used for receiving the commodity sorting orders sent by the intelligent scheduling module, sending commodity sorting signals to the port operation module, receiving commodity information sent by the port operation module, analyzing the sorting progress of the commodity sorting orders, selecting pipeline rotation operation according to the commodity sorting orders, and recording sorting operation data;
the port operation module is used for receiving commodity sorting signals of the operation control module, scanning commodities to be sorted, acquiring commodity information to be sorted and sending the commodity information to the operation control module;
as a preferred aspect, there is further included:
the operation management module is used for acquiring sorting operation data generated in the commodity sorting process, tracking the sorting operation data, sending an emergency sorting signal to the intelligent scheduling module and providing the sorting operation data for the data analysis module;
the data analysis module is used for acquiring sorting operation data of the operation management module and analyzing sorting progress and efficiency according to multi-dimensional aggregation;
and a data monitoring module: the sorting operation data are used for monitoring the operation control module, acquiring and judging whether the commodity sorting time is abnormal or not, compensating the abnormal situation and sending a notification to the port operation module;
the application has the following advantages:
1. according to the invention, the priority calculation is carried out on the commodity sorting orders, and the commodity sorting orders are intelligently ordered, so that each commodity sorting order can be completed completely, the condition that a large amount of area is occupied by cargoes due to simultaneous execution of multiple orders is optimized, meanwhile, the distribution of pipeline operation is controlled, the completion time of the commodity sorting orders is improved, and the purposes of optimizing distribution timeliness and performance cost are achieved.
2. The invention judges the time of the commodity sorting order work, thereby ensuring that the commodity sorting order of special conditions can be processed in time, optimizing the solving capability of the invention for the special conditions, and also analyzing the data of the commodity sorting order, thereby facilitating the optimization of the commodity sorting by staff and improving the completion efficiency of the commodity sorting order.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained from the structures shown in these drawings without inventive effort to a person of ordinary skill in the art.
Fig. 1 is a schematic structural diagram of a system for warehouse sorting and turning operation according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a sorting system for warehouse sorting and turning operation according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, some embodiments of the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application. However, those of ordinary skill in the art will understand that in the various embodiments of the present application, numerous technical details have been set forth in order to provide a better understanding of the present application. However, the technical solutions claimed in the present application can be implemented without these technical details and with various changes and modifications based on the following embodiments.
Example 1
The technical scheme of the invention is as follows: a method for warehouse sorting and turning operation, comprising:
s1, an intelligent scheduling module establishes a commodity sorting order D n N=1, 2,3 · the contents of which are, N is all the goods sorting orders D established n When a new commodity sorting order is created, the serial number is the number of all orders historically created plus one more, for example 1234 commodity sorting orders have been created, the new commodity sorting order serial number is 1235, and commodity sorting order D is calculated n Consumption C for sorting of (C) n ＝αL n +βQ n Commodity sorting order D n Comprises order distance L between storage point and collection point of commodity n And total order quantity Q of order merchandise n Alpha is a preset weight parameter of the order distance, beta is a preset weight parameter of the total number of orders, and alpha=2, beta=1 is assumed to be the commodity sorting order D 1235 Order distance L n =30, total order quantity Q n =128, then commodity sorting order D 1235 Consumption C for sorting of (C) 1235 =188, traverse all sort consumers C in the order ranking table n To sort consumption C n Order ordering is ordered downward in order from small to large, updating an order ordering table, e.g. C 1225 ＝167，C 1226 ＝178，C 1215 199, then C 1235 188 requires C 1226 =178 and C 1215 Between =199, rank is C 1225 ，C 1226 ，C 1235 ，C 1215 And correspondingly store and sort consumption C n Corresponding commodity sorting order D n Minimizing sort consumption C in order sort table n Corresponding commodity sorting order D n Sends the commodity sorting order D to the job control module and sorts the commodities sent in the order sorting table n Corresponding sorting consumption C n Delete due to C 1225 =167 min, then the corresponding item sort order D will be 1225 Sending to the job control module, and deleting the corresponding commodity sorting order D in the order sorting table n And corresponding sorting consumption C n ；
S2, the job control module receives the commodity sorting order D sent by the intelligent scheduling module n Extracting commodity sorting order D n The storage points and the collection points of the commodity are included, for example, 3 storage points and 4 collection points are shared, the distances between the storage points and the collection points are not equal, and the commodity sorting order D is based on the commodity n Corresponding storage point and collection point analysis commodity sorting order D n Sorting assembly line X with shortest sorting distance m M=1, 2, 3.M, M is the total number of sorting pipelines, the commodities in the warehouse reach the collecting point through the pipelines, the path distances required to pass are different, so that different pipelines are required to be selected, and the obtained commodities are sorted into orders D n Sending the message to a port operation module;
s3, acquiring commodity sorting order D by using port operation module n Acquiring commodity sorting order D n Corresponding sorting assembly line X m The scanned commodity information, after commodity enters the assembly line, the assembly line can automatically identify whether the commodity is a target commodity or not according to the order information after the commodity is scanned, namely whether the commodity needs to be sorted or not, so that information acquisition of the commodity and sorting of the commodity are completed, sorting confirmation is carried out on the commodity in a commodity sorting order, and the commodity sorting order D is scanned and completed n After all the commodities are in the container, the scanned commodities are sorted into order D n The goods are sent to the gathering point through the delivery truck, an order completion signal is sent to the operation control module, the sorted goods are gathered in the collecting frame or the transport vehicle, the collecting frame or the transport vehicle is scanned, and the goods sorting order D is indicated n The carrier vehicle sorts the goods into order D n The goods in the water tank are transported to a gathering point, and cannot stay on a production line or occupy positions;
s4, the operation control module obtains a commodity sorting order D through the port operation module n On-going corresponding sorting pipeline X m Scanning quantity of commodity and pipeline X m The goods are scanned and scanned information is uploaded, so that the operation control module can update the sorted goods in real timeCommodity number, calculating commodity sorting order D n After receiving the order completion signal sent by the port operation module, recording commodity sorting order D n Sorting job data F of (2) n Sorting job data F n Including the time of sorting process, the pipeline X m Which is the commodity sorting order D n The total number of the sorted commodities is counted, data analysis is carried out, and commodity sorting orders D sent by the intelligent scheduling module are received again n 。
According to the invention, the priority calculation is carried out on the commodity sorting orders, and the commodity sorting orders are intelligently ordered, so that each commodity sorting order can be completed completely, the condition that a large amount of area is occupied by cargoes due to simultaneous execution of multiple orders is optimized, meanwhile, the distribution of pipeline operation is controlled, the completion time of the commodity sorting orders is improved, and the purposes of optimizing distribution timeliness and performance cost are achieved.
In order to ensure smooth proceeding of commodity sorting orders, the method further comprises the step of reminding and warning the long-time unfinished commodity sorting orders, and the specific steps are as follows:
the data monitoring module acquires an order D for sorting commodities by the operation control module n Sorting progress, commodity sorting order D n When sorting is entered, recording commodity sorting order D n Duration T of operation of (2) n Duration of operation T n Representing a sorting order D for goods n Time accumulated from start of job and for duration of job T n Make a determination as to whether or not "T" is satisfied n >ε n ”，ε n Epsilon is the working time threshold n ＝γC n Gamma is a sorting time-consuming associated parameter, e.g. gamma=0.1, then the goods sort order D 1235 Time threshold epsilon for completed job 1235 188 x 0.1=18.8, converted to a duration T of 48 seconds, 18 minutes, from start of the job n When the recording time is 19 minutes, the working time T n Satisfy T n >ε n If 19 minutes is greater than 18 minutes and 48 seconds, then the commodity sorting order D is judged n Abnormal, sorting commodityOrder D n Sending the information to the port operation module, enabling staff to receive the information through the port operation module, and then checking abnormal commodity sorting order D n And carries a warning signal if the goods sorting order D has been completed at 18 minutes n Working time T n Not satisfy T n >ε n ", no operation is performed.
In order to achieve the aim of optimizing the sorting basis of the commodity sorting orders, the method further comprises the step of automatically compensating the commodity sorting orders, and specifically comprises the following steps:
the intelligent scheduling module establishes commodity sorting order D n Then, the order sorting list is stored, and all commodity sorting orders D in the order sorting list are calculated n Compensating sorting consumption B of (2) n ＝αL n +βQ n -ηG n ，G n To establish commodity sorting order D n The corresponding continuously recorded order waiting time, for example in minutes, will compensate for the sorting consumption B n Sequentially sorting downwards from small to large, updating an order sorting table, and correspondingly storing compensation sorting consumption B n Corresponding commodity sorting order D n It is added that the commodity sorting order D n After creation, the creation time of the order is started to be recorded and accumulated over time, and the order waiting time is added each time the sorting consumption is calculated, so as to optimize the sorting consumption, for example η=0.5, for the goods sorting order D 1235 After 1 hour has elapsed from establishment, the compensated sorting consumption B is calculated 1235 =188-0.5×60=158, so that the value of sorting consumption can be reduced, and then for long waiting orders of goods sorting can be ordered forward, so that it is completed in time.
In order to increase the processing capacity of emergency, the method also comprises the step of manually intervening the emergency commodity sorting list, and the specific steps are as follows:
if the staff find that the goods sorting orders are not sorted in advance due to too many goods, or an emergency occurs, and an emergency order is added, an emergency order signal is manually established, and the operation management is performedAfter the processing module receives the emergency order signal, the emergency order signal carries a commodity sorting order D which needs emergency processing n Marked as an urgent sort order J n And send an emergency sort order J to the intelligent scheduling module n The method is characterized in that the existing commodity sorting orders are marked, and the sorting is not performed in time all the time due to overlong waiting time;
the intelligent scheduling module receives an emergency sorting order J n Matching corresponding commodity sorting order D in order sorting table n Sorting successfully matched commodity order D n Corresponding compensation sorting consumption B n Assigning a value of 0 and updating the order ranking table, when the compensating sorting consumption of the commodity sorting order is 0, sorting the assigned commodity sorting order D next time n Must be a marked emergency sort order J n 。
And S4, carrying out data analysis on the job sorting data, and specifically comprising the following steps:
the job control module acquires and stores all job sorting data F of the job control module in the process of the job n And sent to the data analysis module, so that the job data F is sorted n Including the time of sorting process use, pipeline X used m Which is the commodity sorting order D n The total number of the sorted commodities can be analyzed collectively; the data analysis module obtains all job sorting data F n Extracting job sorting data F n Job date and sorting pipeline X stored correspondingly in m Counting the completed commodity sorting orders D in different operation dates n The daily sorting condition can be intuitively seen through the broken line statistical graph, and the commodity is sorted into an order D n The corresponding commodity number is counted, the number of the sorted commodities can be obtained every day, and different sorting pipelines X are counted m The number of commodity scanning is finished in different dates, different warehouse storage can be selectively distributed when next commodity warehouse entry is performed, subsequent sorting is convenient, the commodity is stored through a preset chart model, the preset icon can directly convert data into a chart, and data are convenientVisualization, supplemented by sorting each item order D n The waiting time of (a) can be counted, the rationality of alpha, beta and eta values can be better analyzed, and the corresponding size can be adjusted, so that the commodity sorting order D is optimized n And the waiting time and the sorting of the sorting machine are more reasonable.
The invention judges the time of the commodity sorting order work, thereby ensuring that the commodity sorting order of special conditions can be processed in time, optimizing the solving capability of the invention for the special conditions, and also analyzing the data of the commodity sorting order, thereby facilitating the optimization of the commodity sorting by staff and improving the completion efficiency of the commodity sorting order.
Example 2
Fig. 1 is a system for warehouse sorting and turning operation provided in an embodiment of the present application, as shown in fig. 1.
A system for warehouse sorting and turning operation, comprising:
the intelligent scheduling module is used for establishing commodity sorting orders, sorting the commodity sorting orders, sending the commodity sorting orders to the operation control module, and receiving and executing the emergency sorting signals sent by the operation management module;
the operation control module is used for receiving the commodity sorting orders sent by the intelligent scheduling module, sending commodity sorting signals to the port operation module, receiving commodity information sent by the port operation module, analyzing the sorting progress of the commodity sorting orders, selecting pipeline rotation operation according to the commodity sorting orders, and recording sorting operation data;
the port operation module is used for receiving commodity sorting signals of the operation control module, scanning commodities to be sorted, acquiring commodity information to be sorted and sending the commodity information to the operation control module;
as a preferred aspect, there is further included:
the operation management module is used for acquiring sorting operation data generated in the commodity sorting process, tracking the sorting operation data, sending an emergency sorting signal to the intelligent scheduling module and providing the sorting operation data for the data analysis module;
the data analysis module is used for acquiring sorting operation data of the operation management module and analyzing sorting progress and efficiency according to multi-dimensional aggregation;
and a data monitoring module: the sorting operation data are used for monitoring the operation control module, acquiring and judging whether the commodity sorting time is abnormal or not, compensating the abnormal situation and sending a notification to the port operation module;
it should be added that, as shown in fig. 2, the client includes a port operation module and an operation management module, the server includes an intelligent scheduling module, an operation control module, a data analysis module and a data monitoring module, and the client and the server together form a complete warehouse sorting and turning operation system.
It will be understood that modifications and variations will be apparent to those skilled in the art from the foregoing description, and it is intended that all such modifications and variations be included within the scope of the following claims. Parts of the specification not described in detail belong to the prior art known to those skilled in the art.
Claims (7)
1. The method for warehouse sorting and turning operation is characterized by comprising the following steps:
s1, an intelligent scheduling module establishes a commodity sorting order D n N=1, 2,3 · the contents of which are, N is all the goods sorting orders D established n And calculates the total number of commodity sorting orders D n Consumption C for sorting of (C) n ＝αL n +βQ n Commodity sorting order D n Comprises order distance L between storage point and collection point of commodity n And total order quantity Q of order merchandise n Alpha is the preset weight parameter of the order distance, beta is the preset weight parameter of the total number of orders, and all sorting consumption C in the order sorting table are traversed n To sort consumption C n Sequentially sorting downwards from small to large, updating an order sorting table, and correspondingly storing sorting consumption C n Corresponding commodity sorting order D n Minimizing sort consumption C in order sort table n Corresponding toCommodity sorting order D n Sends the commodity sorting order D to the job control module and sorts the commodities sent in the order sorting table n Corresponding sorting consumption C n Deleting;
s2, the job control module receives the commodity sorting order D sent by the intelligent scheduling module n Extracting commodity sorting order D n Comprises a storage point and a collection point of the commodity, and sorts an order D according to the commodity n Corresponding storage point and collection point analysis commodity sorting order D n Sorting assembly line X with shortest sorting distance m M=1, 2, 3.M, M being the total number of sorting lines and sorting the obtained goods order D n Sending the message to a port operation module;
s3, acquiring commodity sorting order D by using port operation module n Acquiring commodity sorting order D n Corresponding sorting assembly line X m Scanned commodity information, scanned completed commodity sorting order D n After all the commodities are in the container, the scanned commodities are sorted into order D n The goods are sent to the gathering point through a delivery truck, and an order completion signal is sent to the operation control module;
s4, the operation control module obtains a commodity sorting order D through the port operation module n On-going corresponding sorting pipeline X m Scanning the number of goods to calculate a goods sort order D n After receiving the order completion signal sent by the port operation module, recording commodity sorting order D n Sorting job data F of (2) n Carrying out data analysis and re-receiving commodity sorting order D sent by the intelligent scheduling module n 。
2. The method of claim 1, further comprising the step of alerting the unfinished product for a long time to sort the order, comprising the steps of:
the data monitoring module acquires an order D for sorting commodities by the operation control module n Sorting progress, commodity sorting order D n When sorting is entered, recording commodity sorting order D n Is continuous in (2)Working time T n Duration of operation T n Representing a sorting order D for goods n Time accumulated from start of job and for duration of job T n Make a determination as to whether or not "T" is satisfied n >ε n ”，ε n Epsilon is the working time threshold n ＝γC n Gamma is the time-consuming related parameter for sorting, if the working time T n Satisfy T n >ε n ", determine the commodity sorting order D n Abnormal, sorting order D of commodity n Sending to the port operation module and carrying warning signal, if the operation time T n Not satisfy T n >ε n ", no operation is performed.
3. The method of claim 2, further comprising the step of automatically compensating for the order of the product sorting, comprising the steps of:
the intelligent scheduling module establishes commodity sorting order D n Then, the order sorting list is stored, and all commodity sorting orders D in the order sorting list are calculated n Compensating sorting consumption B of (2) n ＝αL n +βQ n -ηG n ，G n To establish commodity sorting order D n Corresponding to the continuously recorded order waiting time, compensating the sorting consumption B n Sequentially sorting downwards from small to large, updating an order sorting table, and correspondingly storing compensation sorting consumption B n Corresponding commodity sorting order D n 。
4. A method of warehouse sorting and overturning operations as recited in claim 3, further comprising the step of manually intervening in an emergency commodity sorting order, comprising the steps of:
the operation management module receives an emergency order signal, wherein the emergency order signal carries a commodity sorting order D needing emergency treatment n Marked as an urgent sort order J n And send an emergency sort order J to the intelligent scheduling module n ；
The intelligent scheduling module receives an emergency sorting order J n Matching corresponding commodity sorting order D in order sorting table n Sorting successfully matched commodity order D n Corresponding compensation sorting consumption B n A value of 0 is assigned and the order ranking table is updated.
5. The method of claim 4, further comprising the step of performing data analysis on the job sorting data in S4, and specifically comprising the steps of:
the job control module acquires and stores all job sorting data F of the job control module in the process of the job n And sending the data to a data analysis module; the data analysis module obtains all job sorting data F n Extracting job sorting data F n Job date and sorting pipeline X stored correspondingly in m Counting the completed commodity sorting orders D in different operation dates n Counting the number of different sorting pipelines X m And finishing the number of commodity scanning in different dates, and storing through a preset chart model.
6. A system for warehouse sorting and turning operation, comprising:
the intelligent scheduling module is used for establishing commodity sorting orders, sorting the commodity sorting orders, sending the commodity sorting orders to the operation control module, and receiving and executing the emergency sorting signals sent by the operation management module;
the operation control module is used for receiving the commodity sorting orders sent by the intelligent scheduling module, sending commodity sorting signals to the port operation module, receiving commodity information sent by the port operation module, analyzing the sorting progress of the commodity sorting orders, selecting pipeline rotation operation according to the commodity sorting orders, and recording sorting operation data;
the port operation module is used for receiving commodity sorting signals of the operation control module, scanning commodities to be sorted, acquiring commodity information to be sorted and sending the commodity information to the operation control module.
7. The system for warehousing and sorting the overturning platform operation according to claim 6, further comprising:
the operation management module is used for acquiring sorting operation data generated in the commodity sorting process, tracking the sorting operation data, sending an emergency sorting signal to the intelligent scheduling module and providing the sorting operation data for the data analysis module;
the data analysis module is used for acquiring sorting operation data of the operation management module and analyzing sorting progress and efficiency according to multi-dimensional aggregation;
and a data monitoring module: the sorting operation data monitoring operation control module is used for acquiring and judging whether the commodity sorting time is abnormal or not, compensating the abnormal situation and sending a notification to the port operation module.
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