CN116308065B - Intelligent operation and maintenance management method and system for logistics storage equipment - Google Patents
Intelligent operation and maintenance management method and system for logistics storage equipment Download PDFInfo
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Abstract
The invention relates to the technical field of intelligent warehouse management, and particularly discloses an intelligent operation and maintenance management method and system for logistics warehouse equipment, wherein the method comprises the steps of obtaining a warehouse equipment position diagram, and determining free equipment and fixed equipment according to the warehouse equipment position diagram; inquiring a storage task table, and inserting track map items into the storage task table based on the storage equipment position map; receiving a work task and a corresponding work instruction input by a user, and determining operation parameters of each storage device based on the storage task table when the work instruction is an automatic work instruction; and detecting a manual workflow based on the warehouse task list when the work instruction is a manual work instruction. According to the invention, based on the existing intelligent warehousing equipment, the warehousing behaviors are obtained based on the database technology, the automatic warehousing flow is built according to the warehousing behaviors, the cargo identification algorithm is not required to be introduced, the workload of staff is reduced, the cost is lower, and the intelligent degree and the cost are balanced.
Description
Technical Field
The invention relates to the technical field of intelligent warehouse management, in particular to an intelligent operation and maintenance management method and system for logistics warehouse equipment.
Background
The logistics storage equipment mainly comprises a goods shelf, a stacker, a carrier, an entry-exit conveying equipment, a sorting equipment, a lifting machine, a carrying robot and a computer management and monitoring system. These devices may constitute automated, semi-automated, mechanized, commercial warehouses for stacking, accessing, and sorting carrier items.
With the progress of the internet of things technology, the existing logistics storage equipment is mostly intelligent equipment, and a worker can finish the storage process by inputting a working instruction, so that the method is semi-automatic, and the pressure of the worker is high; the method is also a full-automatic method, some identification devices and algorithms thereof are additionally arranged on the basis of the existing devices, unmanned storage is truly achieved, the cost of the method is high, and once errors occur, the errors are difficult to correct in time.
Therefore, how to balance the intelligent degree and cost of the intelligent warehouse workshop is the technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide an intelligent operation and maintenance management method and system for logistics storage equipment, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent operation and maintenance management method for logistics storage equipment, comprising the following steps:
acquiring a storage equipment position diagram, and determining free equipment and fixed equipment according to the storage equipment position diagram;
inquiring a storage task table, and inserting track map items into the storage task table based on the storage equipment position map; the final warehouse task list comprises task label items, time node items and track map items; the track diagram is used for representing the track of the equipment for completing a certain task; wherein, one warehouse equipment at least corresponds to two time nodes;
receiving a work task and a corresponding work instruction input by a user, and determining operation parameters of each storage device based on the storage task table when the work instruction is an automatic work instruction;
and detecting a manual workflow based on the warehouse task list when the work instruction is a manual work instruction.
As a further scheme of the invention: the step of obtaining the storage equipment position diagram and determining the free equipment and the fixed equipment according to the storage equipment position diagram comprises the following steps:
inquiring monitoring videos acquired by all cameras in a monitoring system, and performing overlooking conversion on the monitoring videos according to monitoring parameters of the cameras to acquire workshop monitoring videos;
splicing the workshop monitoring video based on the time sequence and the position of the camera to obtain a workshop image group;
performing AND logic operation on the workshop image group, and determining fixed equipment and position points thereof according to an AND logic operation result;
and performing exclusive-or logical operation on the workshop image group, and determining free equipment and position points thereof according to exclusive-or logical operation results.
As a further scheme of the invention: the step of performing exclusive or logical operation on the workshop image group and determining the free equipment and the position point thereof according to the exclusive or logical operation result comprises the following steps:
reading adjacent workshop images from the workshop image group, performing exclusive OR logic operation on the adjacent workshop images, and determining a change area;
marking the change areas in adjacent workshop images in sequence, and carrying out contour recognition on the change areas;
and reading the position points of the fixed equipment, and removing the fixed equipment from the contour recognition result according to the position points of the fixed equipment to obtain free equipment and the position points thereof.
As a further scheme of the invention: the step of inquiring the warehouse task list and inserting track map items into the warehouse task list based on the warehouse equipment position map comprises the following steps:
receiving a warehousing task input by a user based on a preset warehousing template table, and creating a data item; the warehousing task consists of task labels;
receiving start-stop moments of the warehousing tasks fed back by each warehousing device in real time, and arranging the start-stop moments according to time sequences to obtain time node items;
positioning a storage equipment position diagram according to the time node item, reading free equipment and position points thereof in the storage equipment position diagram, and reading fixed equipment and position points thereof in the storage equipment position diagram;
converting the free equipment and the position points thereof into motion tracks according to time sequence;
converting the fixed equipment and the position points thereof into color value points according to time sequence;
and counting the motion trail and the color value points to obtain trail graph items and inserting the trail graph items into the warehouse task list.
As a further scheme of the invention: when the working instruction is an automatic working instruction, the step of determining the operation parameters of each storage device based on the storage task table comprises the following steps:
when the working instruction is an automatic working instruction, reading a working task and converting the working task into a tag group;
sequentially reading the labels in the label group, traversing task label items in a warehouse task list, and extracting data items with matching degree reaching preset matching conditions to obtain data items to be selected;
displaying the data items to be selected, receiving selection information of staff and determining target data items;
and determining the operation parameters of each storage device according to the time node item and the track map item in the target data item.
As a further scheme of the invention: when the work instruction is a manual work instruction, the step of detecting a manual work flow based on the warehouse task list includes:
when the working instruction is a manual working instruction, newly establishing a data item and updating the data item in real time;
reading a data item to be selected, comparing the data item updated in real time with the data item to be selected, and determining the maximum similarity of each track;
and comparing the maximum similarity with a preset similarity condition, and determining the abnormal level of the manual workflow.
The technical scheme of the invention also provides an intelligent operation and maintenance management system of the logistics storage equipment, which comprises the following components:
the equipment point determining module is used for acquiring a storage equipment position diagram and determining free equipment and fixed equipment according to the storage equipment position diagram;
the track map generating module is used for inquiring a storage task table, and inserting track map items into the storage task table based on the storage equipment position map; the final warehouse task list comprises task label items, time node items and track map items; the track diagram is used for representing the track of the equipment for completing a certain task; wherein, one warehouse equipment at least corresponds to two time nodes;
the operation parameter generation module is used for receiving a work task and a corresponding work instruction input by a user, and determining the operation parameters of each storage device based on the storage task table when the work instruction is an automatic work instruction;
and the workflow detection module is used for detecting a manual workflow based on the warehouse task list when the work instruction is a manual work instruction.
As a further scheme of the invention: the device point determination module includes:
the overlook conversion unit is used for inquiring the monitoring video acquired by each camera in the monitoring system, and performing overlook conversion on the monitoring video according to the monitoring parameters of the cameras to acquire a workshop monitoring video;
the video stitching unit is used for stitching the workshop monitoring video based on the time sequence and the position of the camera to obtain a workshop image group;
the AND operation unit is used for performing AND logic operation on the workshop image group and determining the fixed equipment and the position point thereof according to an AND logic operation result;
and the exclusive-or operation unit is used for carrying out exclusive-or logical operation on the workshop image group and determining free equipment and position points thereof according to exclusive-or logical operation results.
As a further scheme of the invention: the track map generating module comprises:
the data item newly-built unit is used for receiving a storage task input by a user based on a preset storage template table and newly-building a data item; the warehousing task consists of task labels;
the node item determining unit is used for receiving start-stop moments of the warehousing tasks fed back by each warehousing device in real time, and arranging the start-stop moments according to time sequence to obtain time node items;
the point position reading unit is used for positioning a storage equipment position diagram according to the time node item, reading free equipment and position points thereof in the storage equipment position diagram, and reading fixed equipment and position points thereof in the storage equipment position diagram;
the track generation unit is used for converting the free equipment and the position points thereof into motion tracks according to the time sequence;
the color value conversion unit is used for converting the fixed equipment and the position points thereof into color value points according to the time sequence;
and the data statistics unit is used for counting the motion trail and the color value points, obtaining trail graph items and inserting the trail graph items into the warehouse task list.
As a further scheme of the invention: the operation parameter generation module comprises:
the label group generating unit is used for reading a work task and converting the work task into a label group when the work instruction is an automatic work instruction;
the data item matching unit is used for sequentially reading the labels in the label group, traversing task label items in the warehouse task list, extracting data items with matching degree reaching preset matching conditions, and obtaining data items to be selected;
the target determining unit is used for displaying the data items to be selected, receiving the selection information of the staff and determining the target data items;
and the parameter determining unit is used for determining the operation parameters of each warehousing device according to the time node item and the track map item in the target data item.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, based on the existing intelligent warehousing equipment, the warehousing behaviors are obtained based on the database technology, the automatic warehousing flow is built according to the warehousing behaviors, the cargo identification algorithm is not required to be introduced, the workload of staff is reduced, and the cost is lower; the intelligent degree and the cost are greatly balanced, and an alternative scheme is additionally arranged between full automation and semi-automation.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flow chart of an intelligent operation and maintenance management method of logistics storage equipment.
Fig. 2 is a first sub-flowchart block diagram of an intelligent operation and maintenance management method of the logistics storage equipment.
Fig. 3 is a second sub-flowchart block diagram of the intelligent operation and maintenance management method of the logistics storage equipment.
Fig. 4 is a third sub-flowchart block diagram of the intelligent operation and maintenance management method of the logistics storage equipment.
Fig. 5 is a fourth sub-flowchart block diagram of the intelligent operation and maintenance management method of the logistics storage equipment.
Fig. 6 is a block diagram of the composition structure of the intelligent operation and maintenance management system of the logistics storage equipment.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in 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 scope of the invention.
Fig. 1 is a flow chart of an intelligent operation and maintenance management method for logistics storage equipment, in an embodiment of the present invention, the method includes:
step S100: acquiring a storage equipment position diagram, and determining free equipment and fixed equipment according to the storage equipment position diagram;
the logistics storage equipment mainly comprises a goods shelf, a stacker, a carrier, an entry-exit conveying equipment, a sorting equipment, a lifting machine, a carrying robot and a computer management and monitoring system. These devices may constitute automated, semi-automated, mechanized, commercial warehouses for stacking, accessing, and sorting carrier items. Logistics storage equipment can be divided into two broad categories: logistics equipment and warehousing equipment. But at present, the current manufacturing industry rapidly develops, the logistics and the storage density are indistinct, and the industrial standard formulation is looped.
The warehouse workshop is generally provided with a monitoring system, the position of the warehouse equipment can be determined based on the video acquired by the existing monitoring system, and the position of the warehouse equipment is represented by a position diagram of the warehouse equipment; wherein, the storage equipment is divided into two types, one is movable and used for completing the transportation work, and the other is fixed and used for completing the disassembly work.
Step S200: inquiring a storage task table, and inserting track map items into the storage task table based on the storage equipment position map; the final warehouse task list comprises task label items, time node items and track map items; the track diagram is used for representing the track of the equipment for completing a certain task; wherein, one warehouse equipment at least corresponds to two time nodes;
the warehouse task list is used for representing task flows of each warehouse task, and the task tag item reflects information of goods to be stored; the time node item indicates which storage equipment the goods are at each moment; the track map is used for representing the positions of the corresponding storage equipment at each moment, and the motion track can be determined according to the time arrangement of the track map.
Step S300: receiving a work task and a corresponding work instruction input by a user, and determining operation parameters of each storage device based on the storage task table when the work instruction is an automatic work instruction;
step S100 and step 200 are preprocessing stages, and step S300 is an execution stage, receiving a work task input by a worker, and receiving a work instruction input by the worker; the input working instructions comprise two types, one is an automatic working instruction and the other is a manual working instruction; when the working instruction is an automatic working instruction, matching target data in a warehouse task list through a working task, and automatically generating operation parameters of each warehouse equipment according to the motion process of the target data.
Step S400: when the work instruction is a manual work instruction, detecting a manual work flow based on the warehouse task list;
when the working instruction is a manual working instruction, the working process of each storage device is manually controlled by a worker, and in the manual control process, the manual control process can be detected based on the generated storage task list, so that some prompt information can be timely generated, and the error input rate of a user is reduced.
Fig. 2 is a first sub-flowchart of an intelligent operation and maintenance management method for logistics storage equipment, where the steps of obtaining a storage equipment position diagram and determining free equipment and fixed equipment according to the storage equipment position diagram include:
step S101: inquiring monitoring videos acquired by all cameras in a monitoring system, and performing overlooking conversion on the monitoring videos according to monitoring parameters of the cameras to acquire workshop monitoring videos;
if the camera is of a ceiling type, the shot image is a overlook image, and if the camera is not of a ceiling type, a spatial mapping relation exists between the shot image and the overlook image, the spatial mapping relation is determined by the shooting position and the shooting angle, and a worker determines the spatial mapping relation in advance according to a sample and the existing image processing technology.
Step S102: splicing the workshop monitoring video based on the time sequence and the position of the camera to obtain a workshop image group;
the position of the camera reflects the spatial relationship between the workshop monitoring videos, the time information reflects the time relationship of the workshop monitoring videos, the workshop monitoring videos can be spliced by combining the spatial relationship and the time relationship, and then the whole video of the warehouse workshop is obtained, and the process of converting the whole video into an image group is not difficult.
Step S103: performing AND logic operation on the workshop image group, and determining fixed equipment and position points thereof according to an AND logic operation result;
the workshop images in the workshop image group are sequentially read, and AND logic operation is carried out on the adjacent workshop images, so that the same parts in the adjacent workshop images can be reserved, a plurality of same parts are counted, a common area which is a fixed area is determined, the fixed area is identified, and the fixed equipment and the position points thereof can be determined.
Step S104: performing exclusive-or logical operation on the workshop image group, and determining free equipment and position points thereof according to an exclusive-or logical operation result;
the workshop images in the workshop image group are sequentially read, exclusive OR logic operation is carried out on adjacent workshop images, the changed areas can be reserved, a plurality of changed areas are counted, the changed areas are identified, and free equipment and position points thereof can be determined.
The position point is a certain point selected from fixed equipment or free equipment according to a preset rule.
As a preferred embodiment of the present invention, the step of performing an exclusive-or logical operation on the workshop image group, and determining the free device and its location point according to the result of the exclusive-or logical operation includes:
reading adjacent workshop images from the workshop image group, performing exclusive OR logic operation on the adjacent workshop images, and determining a change area;
marking the change areas in adjacent workshop images in sequence, and carrying out contour recognition on the change areas;
and reading the position points of the fixed equipment, and removing the fixed equipment from the contour recognition result according to the position points of the fixed equipment to obtain free equipment and the position points thereof.
The above-mentioned contents define the identification process of the free device, in practical application, the fixed device needs to complete the loading and unloading actions, and is also in a moving state, that is, the marked change area contains the fixed device; therefore, the fixed equipment is removed from the change area, so that the free equipment and the position point thereof can be obtained.
Fig. 3 is a second sub-flowchart of the intelligent operation and maintenance management method of the logistics storage equipment, wherein the step of querying the storage task table and inserting the track map item into the storage task table based on the storage equipment position map includes:
step S201: receiving a warehousing task input by a user based on a preset warehousing template table, and creating a data item; the warehousing task consists of task labels;
when receiving a storage task input by a user, newly creating a data item; the warehousing task is the work task, and the warehousing task and the work task are different representation nouns of the same concept; just received, it is called a job task, and after the warehouse is completed, it is called a warehouse task.
Step S202: receiving start-stop moments of the warehousing tasks fed back by each warehousing device in real time, and arranging the start-stop moments according to time sequences to obtain time node items;
in practical application, a plurality of storage devices are required to be involved in one storage task, and each storage device generates a signal with the characteristics of the storage task as a label when receiving storage goods, so that the signal can obtain a plurality of moments which represent which positions the storage goods arrive at different moments, and the moments are collectively called as time nodes.
Step S203: positioning a storage equipment position diagram according to the time node item, reading free equipment and position points thereof in the storage equipment position diagram, and reading fixed equipment and position points thereof in the storage equipment position diagram;
and the storage equipment position diagram corresponding to each moment can query the position points of the fixed equipment and the free equipment in the storage equipment position diagram by the acquired time nodes.
Step S204: converting the free equipment and the position points thereof into motion tracks according to time sequence;
and reading the free equipment and the position points thereof according to the time sequence and connecting the free equipment and the position points thereof, so that the motion trail can be obtained.
Step S205: converting the fixed equipment and the position points thereof into color value points according to time sequence;
for a fixed device, the position point cannot change along with the time, and the track is difficult to express; for this purpose, the execution entity of the method represents the trajectory by changing the color values, the longer the dwell time of the goods at the fixture, the deeper the corresponding color values.
Step S206: counting the motion trail and the color value points to obtain trail graph items and inserting the trail graph items into the warehouse task list;
and counting all the storage equipment position diagrams, and the motion trail and the color value points generated by the storage equipment position diagrams to obtain trail map items. Colloquially, the track map items include warehouse equipment location maps, movement tracks, and color value points.
FIG. 4 is a third sub-flowchart of the intelligent operation and maintenance management method for the logistics storage equipment, wherein when the work instruction is an automatic work instruction, the step of determining the operation parameters of each storage equipment based on the storage task table includes:
step S301: when the working instruction is an automatic working instruction, reading a working task and converting the working task into a tag group;
step S302: sequentially reading the labels in the label group, traversing task label items in a warehouse task list, and extracting data items with matching degree reaching preset matching conditions to obtain data items to be selected;
when the work instruction is an automatic work instruction, a work task is read, the work task is matched with a task tag item in a warehouse task list, and a data item with higher matching degree can be queried, which is called a data item to be selected.
Step S303: displaying the data items to be selected, receiving selection information of staff and determining target data items;
the number of the data items to be selected is not unique, the data items to be selected are displayed, the selection information input by the staff is received, and a unique target data item can be determined.
Step S304: determining the operation parameters of each storage device according to the time node item and the track map item in the target data item;
the corresponding time node items and the track map items are read, so that the operation parameters of each storage device at each time can be determined; it should be noted that only one warehouse equipment is in an operating state within a period of time.
FIG. 5 is a fourth sub-flowchart of the intelligent operation and maintenance management method for the logistics storage equipment, wherein when the work instruction is a manual work instruction, the steps for detecting the manual work flow based on the storage task table include:
step S401: when the working instruction is a manual working instruction, newly establishing a data item and updating the data item in real time;
step S402: reading a data item to be selected, comparing the data item updated in real time with the data item to be selected, and determining the maximum similarity of each track;
step S403: and comparing the maximum similarity with a preset similarity condition, and determining the abnormal level of the manual workflow.
The above-mentioned content limits the detection process of the manual work flow, when receiving the manual work instruction, newly-built data item, and adopt the same method to produce time node item and track map item of this data item, in the course of producing time node item and track map item, compare these data with existing data, can judge whether the present work task has appeared ever, in the actual application, the kind number of goods is limited, the warehousing flow is limited too, when a brand new warehousing flow appears, a situation appears new goods, another situation appears the problem in the manual work flow of the user, the latter probability is greater when the time span is greater; therefore, the operation problems can be found in time by comparing the current work task with the history storage task.
Fig. 6 is a block diagram of a composition structure of an intelligent operation and maintenance management system for logistics storage equipment, in which in an embodiment of the present invention, there is provided an intelligent operation and maintenance management system for logistics storage equipment, the system 10 includes:
the equipment point determining module 11 is used for acquiring a storage equipment position diagram and determining free equipment and fixed equipment according to the storage equipment position diagram;
the track diagram generating module 12 is configured to query a warehouse task table, and insert track diagram items into the warehouse task table based on the warehouse equipment position diagram; the final warehouse task list comprises task label items, time node items and track map items; the track diagram is used for representing the track of the equipment for completing a certain task; wherein, one warehouse equipment at least corresponds to two time nodes;
the operation parameter generation module 13 is used for receiving a work task and a corresponding work instruction input by a user, and determining operation parameters of each storage device based on the storage task table when the work instruction is an automatic work instruction;
the workflow detection module 14 is configured to detect a manual workflow based on the warehouse task list when the work order is a manual work order.
The device point determination module 11 includes:
the overlook conversion unit is used for inquiring the monitoring video acquired by each camera in the monitoring system, and performing overlook conversion on the monitoring video according to the monitoring parameters of the cameras to acquire a workshop monitoring video;
the video stitching unit is used for stitching the workshop monitoring video based on the time sequence and the position of the camera to obtain a workshop image group;
the AND operation unit is used for performing AND logic operation on the workshop image group and determining the fixed equipment and the position point thereof according to an AND logic operation result;
and the exclusive-or operation unit is used for carrying out exclusive-or logical operation on the workshop image group and determining free equipment and position points thereof according to exclusive-or logical operation results.
The trajectory graph generation module 12 includes:
the data item newly-built unit is used for receiving a storage task input by a user based on a preset storage template table and newly-building a data item; the warehousing task consists of task labels;
the node item determining unit is used for receiving start-stop moments of the warehousing tasks fed back by each warehousing device in real time, and arranging the start-stop moments according to time sequence to obtain time node items;
the point position reading unit is used for positioning a storage equipment position diagram according to the time node item, reading free equipment and position points thereof in the storage equipment position diagram, and reading fixed equipment and position points thereof in the storage equipment position diagram;
the track generation unit is used for converting the free equipment and the position points thereof into motion tracks according to the time sequence;
the color value conversion unit is used for converting the fixed equipment and the position points thereof into color value points according to the time sequence;
and the data statistics unit is used for counting the motion trail and the color value points, obtaining trail graph items and inserting the trail graph items into the warehouse task list.
The operation parameter generation module 13 includes:
the label group generating unit is used for reading a work task and converting the work task into a label group when the work instruction is an automatic work instruction;
the data item matching unit is used for sequentially reading the labels in the label group, traversing task label items in the warehouse task list, extracting data items with matching degree reaching preset matching conditions, and obtaining data items to be selected;
the target determining unit is used for displaying the data items to be selected, receiving the selection information of the staff and determining the target data items;
and the parameter determining unit is used for determining the operation parameters of each warehousing device according to the time node item and the track map item in the target data item.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (6)
1. An intelligent operation and maintenance management method for logistics storage equipment is characterized by comprising the following steps:
acquiring a storage equipment position diagram, and determining free equipment and fixed equipment according to the storage equipment position diagram;
inquiring a storage task table, and inserting track map items into the storage task table based on the storage equipment position map; the final warehouse task list comprises task label items, time node items and track map items; the track diagram is used for representing the track of the equipment for completing a certain task; wherein, one warehouse equipment at least corresponds to two time nodes;
receiving a work task and a corresponding work instruction input by a user, and determining operation parameters of each storage device based on the storage task table when the work instruction is an automatic work instruction;
when the work instruction is a manual work instruction, detecting a manual work flow based on the warehouse task list;
the step of inquiring the warehouse task list and inserting track map items into the warehouse task list based on the warehouse equipment position map comprises the following steps:
receiving a warehousing task input by a user based on a preset warehousing template table, and creating a data item; the warehousing task consists of task labels;
receiving start-stop moments of the warehousing tasks fed back by each warehousing device in real time, and arranging the start-stop moments according to time sequences to obtain time node items;
positioning a storage equipment position diagram according to the time node item, reading free equipment and position points thereof in the storage equipment position diagram, and reading fixed equipment and position points thereof in the storage equipment position diagram;
converting the free equipment and the position points thereof into motion tracks according to time sequence;
converting the fixed equipment and the position points thereof into color value points according to time sequence;
counting the motion trail and the color value points to obtain trail graph items and inserting the trail graph items into the warehouse task list;
when the working instruction is an automatic working instruction, the step of determining the operation parameters of each storage device based on the storage task table comprises the following steps:
when the working instruction is an automatic working instruction, reading a working task and converting the working task into a tag group;
sequentially reading the labels in the label group, traversing task label items in a warehouse task list, and extracting data items with matching degree reaching preset matching conditions to obtain data items to be selected;
displaying the data items to be selected, receiving selection information of staff and determining target data items;
determining the operation parameters of each storage device according to the time node item and the track map item in the target data item;
wherein, the contents of converting the fixed equipment and the position points thereof into color value points according to the time sequence comprise:
the dwell time of the goods at the fixture is obtained and the color value of the location point is deepened according to the dwell time.
2. The intelligent operation and maintenance management method of logistics storage equipment according to claim 1, wherein the step of obtaining a storage equipment position diagram and determining free equipment and fixed equipment according to the storage equipment position diagram comprises the steps of:
inquiring monitoring videos acquired by all cameras in a monitoring system, and performing overlooking conversion on the monitoring videos according to monitoring parameters of the cameras to acquire workshop monitoring videos;
splicing the workshop monitoring video based on the time sequence and the position of the camera to obtain a workshop image group;
performing AND logic operation on the workshop image group, and determining fixed equipment and position points thereof according to an AND logic operation result;
and performing exclusive-or logical operation on the workshop image group, and determining free equipment and position points thereof according to exclusive-or logical operation results.
3. The intelligent operation and maintenance management method of logistics storage equipment according to claim 2, wherein the step of performing exclusive or logical operation on the workshop image group and determining the free equipment and the location point thereof according to the exclusive or logical operation result comprises:
reading adjacent workshop images from the workshop image group, performing exclusive OR logic operation on the adjacent workshop images, and determining a change area;
marking the change areas in adjacent workshop images in sequence, and carrying out contour recognition on the change areas;
and reading the position points of the fixed equipment, and removing the fixed equipment from the contour recognition result according to the position points of the fixed equipment to obtain free equipment and the position points thereof.
4. The intelligent operation and maintenance management method of logistics storage equipment of claim 1, wherein when the work instruction is a manual work instruction, the step of detecting a manual work flow based on the storage task sheet comprises:
when the working instruction is a manual working instruction, newly establishing a data item and updating the data item in real time;
reading a data item to be selected, comparing the data item updated in real time with the data item to be selected, and determining the maximum similarity of each track;
and comparing the maximum similarity with a preset similarity condition, and determining the abnormal level of the manual workflow.
5. An intelligent operation and maintenance management system for logistics storage equipment, which is characterized by comprising:
the equipment point determining module is used for acquiring a storage equipment position diagram and determining free equipment and fixed equipment according to the storage equipment position diagram;
the track map generating module is used for inquiring a storage task table, and inserting track map items into the storage task table based on the storage equipment position map; the final warehouse task list comprises task label items, time node items and track map items; the track diagram is used for representing the track of the equipment for completing a certain task; wherein, one warehouse equipment at least corresponds to two time nodes;
the operation parameter generation module is used for receiving a work task and a corresponding work instruction input by a user, and determining the operation parameters of each storage device based on the storage task table when the work instruction is an automatic work instruction;
the workflow detection module is used for detecting a manual workflow based on the warehouse task list when the work instruction is a manual work instruction;
the track map generating module comprises:
the data item newly-built unit is used for receiving a storage task input by a user based on a preset storage template table and newly-building a data item; the warehousing task consists of task labels;
the node item determining unit is used for receiving start-stop moments of the warehousing tasks fed back by each warehousing device in real time, and arranging the start-stop moments according to time sequence to obtain time node items;
the point position reading unit is used for positioning a storage equipment position diagram according to the time node item, reading free equipment and position points thereof in the storage equipment position diagram, and reading fixed equipment and position points thereof in the storage equipment position diagram;
the track generation unit is used for converting the free equipment and the position points thereof into motion tracks according to the time sequence;
the color value conversion unit is used for converting the fixed equipment and the position points thereof into color value points according to the time sequence;
the data statistics unit is used for counting the motion trail and the color value points, obtaining trail graph items and inserting the trail graph items into the warehouse task list;
the operation parameter generation module comprises:
the label group generating unit is used for reading a work task and converting the work task into a label group when the work instruction is an automatic work instruction;
the data item matching unit is used for sequentially reading the labels in the label group, traversing task label items in the warehouse task list, extracting data items with matching degree reaching preset matching conditions, and obtaining data items to be selected;
the target determining unit is used for displaying the data items to be selected, receiving the selection information of the staff and determining the target data items;
the parameter determining unit is used for determining the operation parameters of each warehousing device according to the time node item and the track map item in the target data item;
wherein, the contents of converting the fixed equipment and the position points thereof into color value points according to the time sequence comprise:
the dwell time of the goods at the fixture is obtained and the color value of the location point is deepened according to the dwell time.
6. The intelligent operation and maintenance management system of logistics warehouse facility of claim 5, wherein the facility point determination module comprises:
the overlook conversion unit is used for inquiring the monitoring video acquired by each camera in the monitoring system, and performing overlook conversion on the monitoring video according to the monitoring parameters of the cameras to acquire a workshop monitoring video;
the video stitching unit is used for stitching the workshop monitoring video based on the time sequence and the position of the camera to obtain a workshop image group;
the AND operation unit is used for performing AND logic operation on the workshop image group and determining the fixed equipment and the position point thereof according to an AND logic operation result;
and the exclusive-or operation unit is used for carrying out exclusive-or logical operation on the workshop image group and determining free equipment and position points thereof according to exclusive-or logical operation results.
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