CN116433153A - Intelligent inspection system for warehouse logistics - Google Patents
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Abstract
The invention discloses a warehouse logistics intelligent inspection system, which comprises a main control module, a positioning module, a braking module, a picture processing module, an alarm module and a management module, wherein the main control module is used for receiving signals of the positioning module, the braking module, the picture processing module, the alarm module and the management module and transmitting information to the positioning module, the braking module, the picture processing module, the alarm module and the management module, the positioning module is used for making an inspection route and a shooting position, the braking module comprises an inspection trolley, a control unit, a remote control module and a braking system, the picture processing module is used for taking pictures and processing matched materials for the pictures, and the alarm module is used for sending an alarm to remind staff, and the warehouse logistics intelligent inspection system has the advantages that: the warehouse can be modeled, the optimal travelling route is conveniently calculated, the idle work of the cruising trolley is reduced, warehouse articles and storage racks can be bound, and photo errors are prevented.
Description
Technical Field
The invention relates to the technical field of warehouse logistics, in particular to an intelligent warehouse logistics inspection system.
Background
Warehouse management is management of warehouses and materials in the warehouses, and is a planning, organizing, controlling and coordinating process of a warehouse organization for providing efficient warehouse services for fully utilizing the warehouse resources. Particularly, the warehouse management comprises various management works and related operations of acquisition of warehouse resources, hasten business management, warehouse flow management, warehouse operation management, custody management and safety management, along with the development of technology, the development of a warehouse management system is very rapid, the present warehouse management is taken as the most important link in logistics management, the present warehouse management plays a vital role in improving logistics efficiency and reducing logistics management cost, the present warehouse management tends to intelligent warehouse management more and more, and warehouse inspection is an indispensable step in the warehouse management process;
the existing warehouse inspection mode has the following problems that 1, the shooting quality of the pictures is good, the effect is good, the checking of the articles is wrong, 2, the shot pictures can be directly sent to a server for processing, and the problem that the pictures do not correspond to the stored articles can occur.
Disclosure of Invention
The technical problem to be solved by the invention is that when real estate valuation is carried out, the influence of subjective factors of valuators is large, which affects the accuracy of the valuation result to a certain extent.
The invention adopts the following technical scheme to solve the technical problems: the utility model provides a warehouse logistics intelligent inspection system, including main control module, positioning module, braking module, picture processing module, alarm module, management module, main control module is used for accepting positioning module, braking module, picture processing module, alarm module, management module's signal and to positioning module, braking module, picture processing module, alarm module, management module conveying information, positioning module is used for making the route of patrolling and examining, making the shooting position, braking module includes the dolly of patrolling and examining, control unit, remote control module and braking system, picture processing module is used for taking the photo to match the supplies are handled in the photo to the photo, alarm module is used for sending out the alarm and reminds the staff, management module is used for producing the special serial number of goods to compare with the serial number that produces in the picture processing module, prevent that the photo that picture processing module took makes mistakes.
Preferably, the positioning module comprises a travel route planning and fixed point stopping; the way of the travel route planning is as follows:
storage rack position in warehouse: installing a signal transmitting module for each storage rack, numbering the modules, and transmitting the length, width and height of the storage rack to a main control module;
space modeling: modeling the storage rack position in the warehouse according to the data uploaded to the main control module;
path search stage: searching a walking path by applying a corresponding algorithm on the basis of an environment model, so that a preset performance function obtains an optimal value;
and (3) path determination: the path searched by the corresponding algorithm is not necessarily a feasible path that the moving body can walk, and further processing and smoothing are needed to make the path a practical feasible path.
Preferably, the fixed point stopping method comprises the following steps: the environment model searches the optimal shooting position of the storage rack, and an infrared sensor is arranged on the storage rack and used for positioning the shooting position, and the optimal shooting position determining method comprises the following steps: and calculating an optimal shooting position through the distance between the trolley and the storage rack on the basis of the environment model and the travelling route of the cruising trolley, wherein the infrared sensor is aligned with the optimal shooting position.
Preferably, the braking system is arranged on the inspection trolley, the braking system comprises a carrying module, a steering module, an accelerating module and a stopping module, the remote control module adopts any one or more combination of a LoRa module, a ZigBee module, a Sigfox module, a BLE module and a digital or analog wireless radio frequency module, and the carrying module, the steering module, the accelerating module and the stopping module are electrically connected with the control unit.
Preferably, the image processing module includes image shooting, image numbering, image comparison and image identification, and the image shooting mode is as follows: utilize the camera to shoot the storage frame, the camera is installed on patrolling and examining the dolly, the mode of picture numbering is: numbering the optimal shooting position, numbering the articles according to the storage rack, and correlating the position with the article number; the picture comparison mode is as follows: and a numbering bar code is arranged on the storage bin, the shot pictures are numbered according to the shooting positions, and the two-dimensional codes in the identified pictures are compared with the storage numbers associated with the position numbers.
Preferably, the picture is identified as: processing, analyzing and understanding the images by using a computer to identify targets and objects in various modes, and carrying out a series of technical means of enhancement and reconstruction on the images with poor quality; analyzing the identified and enhanced and reconstructed pictures, identifying the characteristics of the objects in the pictures, and counting the number of the characteristics.
Preferably, the alarm module alarm content comprises a turning alarm, a lighting alarm, a power state alarm, an environment alarm and an accident alarm, and the alarm mode of the alarm module comprises an audio alarm and a lamplight alarm.
Preferably, the management module comprises a restricted area management and a vehicle scheduling management, wherein the area management is used for carrying out authority management on an important area and a restricted area, unauthorized personnel enter, and the system automatically alarms, and the area management method comprises the following steps: the method comprises the steps of setting up an identity recognition card for a worker, preventing one person from carrying multiple cards through a biological recognition technology, and enabling vehicle dispatching management to send dispatching commands through system software of a host.
Compared with the prior art, the invention provides an intelligent warehouse logistics inspection system, which comprises the following steps of
The beneficial effects are that:
1. a storage logistics intelligent inspection system comprises the steps of firstly, installing a signal transmitting module on each storage rack in a warehouse, measuring the volume of the storage rack, transmitting data to a main control module, modeling the storage rack position in the warehouse through the main control module, finding a walking path by applying a corresponding algorithm on the basis of an environment model, selecting an optimal walking path, selecting the optimal shooting position of the storage rack on the basis of the environment model, installing an infrared scanner on the storage rack, positioning an auxiliary cruising trolley, loading a controller on the cruising trolley, deploying a braking system on the controller, issuing a command to the braking system through a remote control system, binding pictures shot at fixed points of the cruising trolley with the fixed point position number, inquiring the storage rack number through the bound fixed point position number, preventing picture shooting errors, processing the pictures, identifying storage bin objects of the pictures, prompting people to check problems in the process through an alarm system in a sound and light mode, managing high-level safety management of the storage rack through a card, and carrying out the method of the invention, saving the error can be calculated in an important place, the method of the cruising trolley can be used for managing important articles, the storage trolley can be conveniently used for calculating the storage rails, and the storage rails can be convenient to run.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a diagram of a computer device according to the present invention.
In the figure: 1. a main control module; 2. a positioning module; 3. a brake module; 4. a picture processing module; 5. an alarm module; 6. a computer device; 61. a memory; 62. a processor; 63. a network interface; 7. and a management module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the warehouse logistics intelligent inspection system comprises a main control module 1, a positioning module 2, a braking module 3, a picture processing module 4, an alarm module 5 and a management module 7, wherein the main control module 1 is used for receiving signals of the positioning module 2, the braking module 3, the picture processing module 4, the alarm module 5 and the management module 7 and transmitting information to the positioning module 2, the braking module 3, the picture processing module 4, the alarm module 5 and the management module 7, the positioning module 2 is used for making an inspection route and a shooting position, the braking module 3 comprises an inspection trolley, a control unit, a remote control module and a braking system, the picture processing module 4 is used for shooting pictures and processing matched materials for the pictures, the alarm module 5 is used for sending an alarm to remind workers, and the management module 7 is used for generating a special number of goods and comparing with the numbers generated in the picture processing module 4 to prevent the pictures shot by the picture processing module 4 from making mistakes.
In this embodiment, the positioning module 2 includes a travel route planning and fixed point stopping; the way of travel route planning is as follows:
storage rack position in warehouse: installing a signal transmitting module for each storage rack, numbering the modules, and transmitting the length, width and height of the storage rack to the main control module 1;
space modeling: modeling the storage rack position in the warehouse according to the data uploaded to the main control module 1;
path search stage: searching a walking path by applying a corresponding algorithm on the basis of an environment model, so that a preset performance function obtains an optimal value;
and (3) path determination: the path searched by the corresponding algorithm is not necessarily a feasible path that the moving body can walk, and further processing and smoothing are needed to make the path a practical feasible path.
Specifically, a signal transmitting module is installed on each storage rack in the warehouse, the volume of the storage rack is measured, data are transmitted to the main control module 1, then modeling is carried out on the storage rack position in the warehouse through the main control module 1, a walking path is searched by applying a corresponding algorithm on the basis of an environment model, and the optimal walking path is selected.
In this embodiment, the fixed point stopping method is as follows: the environment model searches the optimal shooting position of the storage rack, and an infrared sensor is arranged on the storage rack and used for positioning the shooting position, and the optimal shooting position determining method comprises the following steps: on the basis of the environment model and the travelling route of the cruising trolley, the optimal shooting position is calculated through the distance between the trolley and the storage rack, and the infrared sensor is aligned with the optimal shooting position.
Specifically, the optimal shooting position of the storage rack is selected on the basis of an environment model, and then an infrared scanner is arranged on the storage rack to assist in positioning of the cruising trolley.
In this embodiment, the braking system is disposed on the inspection trolley, and the braking system includes a proceeding module, a steering module, an accelerating module, and a stopping module, where the remote control module adopts any one or more combinations of a LoRa module, a ZigBee module, a Sigfox module, and a BLE module, and the proceeding module, the steering module, the accelerating module, and the stopping module are all electrically connected with the control unit.
Specifically, a controller is loaded on the cruise trolley, a braking system is deployed on the controller, and a command is issued to the braking system through a remote control system.
In this embodiment, the image processing module 4 includes image capturing, image numbering, image comparing and image identifying, and the image capturing mode is as follows: shooting the storage rack by using a camera, wherein the camera is arranged on the inspection trolley, and the picture numbering mode is as follows: numbering the optimal shooting position, numbering the articles according to the storage rack, and correlating the position with the article number; the picture comparison mode is as follows: and a numbering bar code is arranged on the storage bin, the shot pictures are numbered according to the shooting positions, and the two-dimensional codes in the identified pictures are compared with the storage numbers associated with the position numbers.
Specifically, the pictures shot at the fixed point of the cruising trolley are bound with the fixed point position numbers, and the storage rack numbers are inquired through the bound fixed point position numbers, so that picture shooting errors are prevented.
In this embodiment, the picture is identified as: processing, analyzing and understanding the images by using a computer to identify targets and objects in various modes, and carrying out a series of technical means of enhancement and reconstruction on the images with poor quality; analyzing the identified and enhanced and reconstructed pictures, identifying the characteristics of the objects in the pictures, and counting the number of the characteristics.
Specifically, the pictures are processed, the content of the pictures is identified, the stored articles are counted, the counted number is compared with the background, and the warehouse safety is ensured.
In this embodiment, the alarm content of the alarm module 5 includes a turning alarm, a lighting alarm, a power state alarm, an environment alarm, and an accident alarm, and the alarm mode of the alarm module 5 includes an audio alarm and a light alarm.
Specifically, the cruising trolley can remind people to check the problem in a sound and light mode through an alarm system in the cruising trolley inspection process.
In this embodiment, the management module 7 includes a restricted area management and a vehicle scheduling management, where the area management is to perform authority management on the important area and the restricted area, and the unauthorized personnel enter, and the system automatically alarms, and the method of area management is as follows: the personal identification card is set for the staff, the personnel are prevented from carrying multiple cards through the biological identification technology, and the vehicle dispatching management sends dispatching commands through the system software of the host computer.
Specifically, the high-authority place can be managed in a one-person-one-card mode, and the safety of important articles is ensured.
During operation, a signal transmitting module is installed on each storage rack in a warehouse, the volume of the storage rack is measured, data are transmitted to a main control module 1, the storage rack position in the warehouse is modeled through the main control module 1, a corresponding algorithm is applied to find a walking path on the basis of an environment model, an optimal walking path is selected, an optimal shooting position of the storage rack is selected on the basis of the environment model, an infrared scanner is installed on the storage rack, an auxiliary cruising trolley is positioned, a controller is loaded on the cruising trolley, a braking system is deployed on the controller, a salt remote control system is used for issuing commands of the braking system, pictures shot at fixed points of the cruising trolley are bound with position numbers of fixed points, the fixed point position numbers are used for inquiring the storage rack numbers, picture shooting errors are prevented, pictures are processed, storage bin articles are identified, the cruising trolley can count the storage bin articles in the process through an alarm system in a sound and lamplight mode, people can be reminded of checking problems in a mode, important safety of the places can be managed in a card mode by one person.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by computer readable instructions stored in a computer readable storage medium that, when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory, a ROM, or a random access Memory Random Access Memory, a RAM, or the like.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 6, fig. 6 is a basic structural block diagram of a computer device according to the present embodiment.
The computer device 6 comprises a memory 61, a processor 62, a network interface 63 communicatively connected to each other via a system bus. It is noted that only computer device 6 having components 61-63 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.
The computer device may be a desktop computer, a notebook computer, a palm computer, a cloud server, or the like. The computer device can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 61 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory such as SD or DX memory, etc., random access memory RAM, static random access memory SRAM, read only memory ROM, electrically erasable programmable read only memory EEPROM, programmable read only memory PROM, magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 61 may be an internal storage unit of the computer device 6, such as a hard disk or memory of the computer device 6. In other embodiments, the memory 61 may also be an external storage device of the computer device 6, such as a plug-in hard disk, smart Media Card, SMC, secure Digital, SD Card, flash Card, etc. provided on the computer device 6. Of course, the memory 61 may also include both internal storage units of the computer device 6 and external storage devices. In this embodiment, the memory 61 is generally used for storing an operating system and various application software installed on the computer device 6, a computer readable instruction of a token bucket-based traffic data throttling method, and the like. Further, the memory 61 may also be used to temporarily store various types of data that have been output or are to be output.
The processor 62 may be a central processor Central Processing Unit, CPU, controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 62 is typically used to control the overall operation of the computer device 6. In this embodiment, the processor 62 is configured to execute computer readable instructions stored in the memory 61 or process data, such as computer readable instructions for executing a token bucket based traffic data throttling method.
The network interface 63 may comprise a wireless network interface or a wired network interface, which network interface 63 is typically used for establishing a communication connection between the computer device 6 and other electronic devices.
Has the beneficial effects of.
The present application also provides another embodiment, namely, a computer readable storage medium, where computer readable instructions are stored, where the computer readable instructions are executable by at least one processor to cause the at least one processor to perform the steps of a token bucket based traffic data throttling method as described above.
Has the beneficial effects of.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium such as ROM/RAM, a magnetic disk, an optical disk, comprising several instructions for enabling a terminal device to be a mobile phone, a computer, a server, an air conditioner, or a network device, etc. to perform the method of the embodiments of the present application
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a warehouse commodity circulation intelligence inspection system, includes main control module (1), positioning module (2), braking module (3), picture processing module (4), alarm module (5), management module (7), its characterized in that: the main control module (1) is used for receiving signals of the positioning module (2), the braking module (3), the picture processing module (4), the alarm module (5) and the management module (7) and transmitting information to the positioning module (2), the braking module (3), the picture processing module (4), the alarm module (5) and the management module (7), the positioning module (2) is used for making a routing inspection route and a shooting position, the braking module (3) comprises a routing inspection trolley, a control unit, a remote control module and a braking system, the picture processing module (4) is used for shooting pictures and processing matched materials for the pictures, the alarm module (5) is used for sending an alarm to remind staff, and the management module (7) is used for generating a special number of goods and comparing with the number generated in the picture processing module (4) to prevent errors of the pictures shot by the picture processing module (4).
2. The warehouse logistics intelligent inspection system of claim 1, wherein: the positioning module (2) comprises a travel route planning and fixed-point stopping; the way of the travel route planning is as follows:
storage rack position in warehouse: installing a signal transmitting module for each storage rack, numbering the modules, and transmitting the length, width and height of the storage rack to a main control module (1);
space modeling: modeling the storage rack position in the warehouse according to the data uploaded to the main control module (1);
path search stage: searching a walking path by applying a corresponding algorithm on the basis of an environment model, so that a preset performance function obtains an optimal value;
and (3) path determination: the path searched by the corresponding algorithm is not necessarily a feasible path that the moving body can walk, and further processing and smoothing are needed to make the path a practical feasible path.
3. The warehouse logistics intelligent inspection system of claim 2, wherein: the fixed-point stopping method comprises the following steps: the environment model searches the optimal shooting position of the storage rack, and an infrared sensor is arranged on the storage rack and used for positioning the shooting position, and the optimal shooting position determining method comprises the following steps: and calculating an optimal shooting position through the distance between the trolley and the storage rack on the basis of the environment model and the travelling route of the cruising trolley, wherein the infrared sensor is aligned with the optimal shooting position.
4. A warehouse logistics intelligent inspection system as claimed in claim 3, wherein: the braking system is arranged on the inspection trolley and comprises a carrying out module, a steering module, an accelerating module and a stopping module, wherein the remote control module is any one or more of a LoRa module, a ZigBee module, a Sigfox module, a BLE module and a digital or analog wireless radio frequency module, and the carrying out module, the steering module, the accelerating module and the stopping module are electrically connected with the control unit.
5. The warehouse logistics intelligent inspection system of claim 2, wherein: the picture processing module (4) comprises picture shooting, picture numbering, picture comparison and picture identification, wherein the picture shooting mode is as follows: utilize the camera to shoot the storage frame, the camera is installed on patrolling and examining the dolly, the mode of picture numbering is: numbering the optimal shooting position, numbering the articles according to the storage rack, and correlating the position with the article number; the picture comparison mode is as follows: and a numbering bar code is arranged on the storage bin, the shot pictures are numbered according to the shooting positions, and the two-dimensional codes in the identified pictures are compared with the storage numbers associated with the position numbers.
6. The intelligent warehouse logistics inspection system of claim 5, wherein: the picture is identified as: processing, analyzing and understanding the images by using a computer to identify targets and objects in various modes, and carrying out a series of technical means of enhancement and reconstruction on the images with poor quality; analyzing the identified and enhanced and reconstructed pictures, identifying the characteristics of the objects in the pictures, and counting the number of the characteristics.
7. The warehouse logistics intelligent inspection system of claim 6, wherein: the alarm module (5) has alarm content including turning alarm, lighting alarm, power state alarm, environment alarm and accident alarm, and the alarm mode of the alarm module (5) includes sound alarm and light alarm.
8. The warehouse logistics intelligent inspection system of claim 6, wherein: the management module (7) comprises a limiting area management and a vehicle scheduling management, wherein the area management is used for carrying out authority management on an important area and a limiting area, unauthorized personnel enter, and the system automatically alarms, and the area management method comprises the following steps: the method comprises the steps of setting up an identity recognition card for a worker, preventing one person from carrying multiple cards through a biological recognition technology, and enabling vehicle dispatching management to send dispatching commands through system software of a host.
9. A computer device comprising a memory (61), a processor (62) and a network interface (63), the memory (61) having stored therein computer readable instructions, the processor (62) implementing the steps of the investigation method of any of claims 1-8 when executing the computer readable instructions.
10. A computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of the investigation method of any of claims 1 to 9.
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CN117495251B (en) * | 2023-11-08 | 2024-05-14 | 江苏小梦科技有限公司 | Intelligent warehouse management system and method based on mobile trolley |
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