CN113610465A - Production and manufacturing operation management system based on Internet of things technology - Google Patents
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Abstract
The invention discloses a production and manufacturing operation management system based on the technology of the Internet of things, which comprises a product logistics information supervision module, a product stock information acquisition module and a terminal processing system, wherein the product stock information acquisition module comprises: a side dimension acquisition module; the front size acquisition module, this operation management system is made in production based on internet of things, be different from prior art, operation management process at the manufacturing, especially, to the information acquisition of stock product quantity, can carry out the automatic counting to the product of warehouse entry and warehouse exit and adoption box packing automatically, in the counting process, can pile up the goods of reforming and the top is not reformed and is piled up to the bottom respectively on the fork truck and count respectively, and then carry out accurate collection to the goods volume information of stock transport, in order to carry out effectual operation management, and incorporate into the thing networking with the data of gathering, realize control supervision.
Description
Technical Field
The invention relates to the technical field of operation management, in particular to a production, manufacturing and operation management system based on the technology of the Internet of things.
Background
Operation management is the planning, organization, implementation and control of operation process, is a general term for various management works closely related to production and service creation of products, and from another perspective, operation management may also refer to design, operation, evaluation and improvement of systems for producing and providing company-major products and services.
In the production and manufacturing process of enterprise products, the information acquisition of the products can be realized through the Internet of things so as to supervise the products in the whole production positions of the products, and information exchange and communication are realized through information transmission media so as to realize the functions of intelligent identification, positioning, tracking, supervision and the like of the products in the whole intelligent production and manufacturing process.
At present, aiming at the informationized inventory processing in the production and manufacturing process of products, the counting of the quantity of products in storage and out of storage is basically realized by means of a manual technology or a code scanning mode, a large amount of manpower, material resources and financial resources are consumed, the possibility of error and leakage in the manual information acquisition and cleaning process is high, and efficient operation management is influenced.
Disclosure of Invention
The invention aims to provide a production, manufacturing, operation and management system based on the technology of the internet of things, and aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a production manufacturing operation management system based on internet of things, includes product logistics information supervisory module, product stock information acquisition module and terminal processing system, product stock information acquisition module includes:
side size acquisition module: collecting the size of the side face of stacked goods on a pallet loaded by a forklift;
the front size acquisition module: collecting the front size of stacked goods on a pallet loaded by a forklift;
still including top layer freight volume collection module: automatic counting of the top cargo amount for sorting;
the front and side sizes of the piled goods are collected and sorted to be compared with the size of a standard single container, the terminal processing system calculates the amount of the piled goods, and the terminal processing system is matched with the independent calculation of the amount of the goods on the top layer to automatically calculate the inventory amount and upload the Internet of things for intelligent management.
A passing frame is arranged at the position of an outlet of the warehouse, a detention area is arranged on the ground at the position of the passing frame, a forklift passes through the passing frame during the warehousing, and information of the quantity of collected goods stays in the detention area;
the side size acquisition module comprises a first visual sensor, wherein the first visual sensor is arranged at the side position of the passing frame and aims at the side surface of stacked goods on the inventory carrying forklift.
The side surface size acquisition module specifically comprises the following steps:
s1: the first vision sensor collects the length and height of stacked goods and inputs the length and height into a system;
s2: and the terminal processing system compares the recorded length and height data with the length and height dimensions of the standard single container and calculates to automatically calculate the stacking quantity of the goods in the length direction and the height direction.
The front size acquisition module comprises a second visual sensor, and the second visual sensor is over against the front of the stacked goods in the stagnation area;
still including auxiliary positioning part, auxiliary positioning part sets up on the frame of passing for ensure that stock transport fork truck and pile up goods and two equidistance of vision sensor all the time in the stagnation area.
The front size acquisition module specifically comprises the following steps:
s1: the second vision sensor collects the width and height dimensions of the stacked goods and inputs the width and height dimensions into the system;
s2: and the terminal processing system compares the recorded width and height data with the length and height dimensions of the standard single container, calculates the length and height dimensions, automatically calculates the stacking number of the goods in the width direction, and simultaneously performs secondary calculation and calibration on the stacking number of the goods in the height direction.
The auxiliary positioning part comprises a first infrared grating, the first infrared grating is arranged at the side edge of the passing frame and is connected with the terminal processing system, and at the moment that a forklift carries goods and the front end of the goods passes through the first infrared grating, the terminal processing system receives the arrival information of the goods and controls the vision sensor to collect two pairs of front sizes;
still including the echelette grating two, echelette grating two sets up equally on the current frame to hug closely the setting along fork truck advancing direction and be in the rear of echelette grating one, when detecting the goods and pass through echelette grating two after measuring the size in the lump through echelette grating, vision sensor two stops data acquisition.
The positioning process of the auxiliary positioning component specifically comprises the following steps:
s1: the front end of the goods passes through the first infrared grating and the second vision sensor to acquire the front door size information of the stacked goods, so that the size of an image acquired by the position of the stacked goods is always under the same scale with the size of a standard container;
s2: and the goods continue to advance, and the second vision sensor is closed while passing through the second infrared grating, so that the front size collection is completed.
The top of the passing frame is provided with a top plate, the top plate is provided with two flashing alarm lamps, and the flashing alarm lamps are connected with the terminal processing system and are respectively flashing red and green;
when the first visual sensor and the second visual sensor acquire the cleared images and size information, the green flashing alarm lamp flashes green, and the forklift normally carries stocked goods in transit;
when the size information cannot be acquired due to the fact that the images acquired by the first visual sensor and the second visual sensor are not clear, the red flashing alarm lamp flashes red to remind a worker to back the car and enable the forklift to pass again for secondary acquisition.
The top layer cargo quantity acquisition module comprises a plurality of strip-shaped lamps arranged at the bottom of the top plate at equal intervals, the distance between every two adjacent strip-shaped lamps is the same as the length of a standard container, and the distance between the first strip-shaped lamp and the first infrared grating in the horizontal direction is half of the length of the standard container, so that when the first infrared grating triggers the second vision sensor to acquire images, each strip-shaped lamp corresponds to one row of containers;
the top plate is provided with a strip-shaped lamp strip, the width of the strip-shaped lamp strip is larger than that of the top plate, the top plate is provided with a plurality of visual sensors, the visual sensors are arranged at the bottom of the top plate and are opposite to the top surfaces of stacked goods, the quantity of the top layer goods is automatically calculated and determined through the width of the strip-shaped lamp strip on the top layer goods, and the quantity of the goods transported in one time is obtained after calculation.
The top layer cargo quantity acquisition module specifically comprises the following steps:
s1: when the forklift carries goods and the front end of the goods passes through the first infrared grating, the third vision sensor collects the data of the light band on the top-layer goods, namely the length of the light band with the minimum width on each row of the top-layer goods;
s2: and comparing the length of the light band with the minimum width with the width of the standard container to calculate the top cargo quantity.
The strip-shaped lamp is a red light source.
The top plate is detachably connected with the passing frame.
Compared with the prior art, the invention has the beneficial effects that:
compared with the prior art, the invention can automatically count the products which are in and out of the warehouse and packaged by the box body in the operation management process of production and manufacturing, particularly aiming at the information acquisition of the number of the inventory products, respectively count the goods which are stacked and arranged at the bottom and not stacked and arranged at the top of the forklift in the counting process, and further accurately acquire the goods quantity information carried by the inventory so as to carry out effective operation management, and integrate the acquired data into the Internet of things so as to realize control and supervision.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic view of the overall structure of the present invention;
FIG. 3 is a schematic view of another embodiment of the present invention;
FIG. 4 is a partial schematic view of FIG. 3 according to the present invention;
FIG. 5 is a schematic view of another embodiment of the present invention;
FIG. 6 is a schematic diagram of an image captured by the top level cargo quantity capture module according to the present invention.
In the figure: 1-product logistics information supervision module; 2-a product inventory information acquisition module; 3-a terminal processing system; 4-a lateral dimension acquisition module; 41-a first vision sensor; 5-a front size acquisition module; 51-visual sensor two; 6-a top layer cargo quantity acquisition module; 61-strip lamps; 62-vision sensor three; 7-a traffic frame; 71-a retention zone; 8-auxiliary positioning means; 81-infrared grating I; 82-an infrared grating II; 83-a top plate; 84-flashing alarm lamp.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-6, the present invention provides a technical solution: the utility model provides a production manufacturing operation management system based on internet of things, includes product logistics information supervisory module 1, product stock information acquisition module 2 and terminal processing system 3, product stock information acquisition module 2 includes:
side dimension acquisition module 4: the method comprises the steps of collecting the side size of stacked goods on a pallet loaded by a forklift, arranging a passing frame 7 at the position of an exit of a warehouse, arranging a detention area 71 on the ground at the position of the passing frame 7, enabling the forklift to pass through the passing frame 7 during warehousing, and staying in the detention area 71 to collect information of the quantity of the goods, wherein a side size collection module 4 comprises a first visual sensor 41, and the first visual sensor 41 is arranged at the side position of the passing frame 7 and is used for carrying the side of the stacked goods on the forklift aiming at the warehousing;
the side dimension acquisition module 4 specifically comprises the following steps:
s1: the first visual sensor 41 collects the length and the height of stacked goods and inputs the length and the height into a system;
s2: the terminal processing system 3 compares the recorded length and height data with the length and height dimensions of the standard single container, and calculates the length and height dimensions of the standard single container so as to automatically calculate the stacking number of the goods in the length direction and the height direction.
Front size acquisition module 5: gather the positive size that piles up the goods on the cardboard that fork truck loaded, positive size collection module 5 is including two 51 visual sensor, two 51 visual sensor are just right pile up the front of goods in the stagnant area, still including auxiliary positioning part 8, auxiliary positioning part 8 sets up on the current frame 7 for ensure that inventory transport fork truck and pile up the goods and all the time with two 51 equidistance of visual sensor in the stagnant area.
The front size acquisition module 5 specifically comprises the following steps:
s1: the second vision sensor 51 collects the width and height dimensions of the stacked goods and inputs the width and height dimensions into the system;
s2: the terminal processing system 3 compares the recorded width and height data with the length and height dimensions of the standard single container, calculates the data, automatically calculates the stacking number of the goods in the width direction, and simultaneously performs secondary calculation and calibration on the stacking number of the goods in the height direction.
Still including top layer freight volume collection module 6: for automatically counting the top layer cargo quantity put in order, the top layer cargo quantity acquisition module 6 comprises a strip-shaped lamp 61 arranged at the bottom of the top plate 83, a plurality of strip-shaped lamps 61 are arranged at equal intervals, the distance between every two adjacent strip-shaped lamps 61 is the same as the length of a standard container, and the distance between the first strip-shaped lamp 61 and the first infrared grating 81 in the horizontal direction is half of the length of the standard cargo box, when the first echelette 81 triggers the second vision sensor 51 to collect images, the strip-shaped lamps 61 are ensured to respectively correspond to a row of containers, the vision sensor III 62 is further included, the third visual sensor 62 is arranged at the bottom of the top plate 83, and is opposite to the top surface of the stacked goods, the quantity of the top layer goods is automatically calculated and determined according to the width of the lamp strip of the strip-shaped lamp 61 on the top layer goods, and the quantity of the goods conveyed in one time is obtained after calculation.
The top layer cargo quantity acquisition module 6 specifically comprises the following steps:
s1: when a forklift carries goods and the front ends of the goods pass through the first infrared grating 81, the third visual sensor 62 collects light band data on top-layer goods, namely the length of the light band with the minimum width on each row of top-layer goods;
s2: and comparing the length of the light band with the minimum width with the width of the standard container to calculate the top cargo quantity.
Furthermore, the front and side sizes of the collected and sorted stacked goods are compared with the size of a standard single container, the terminal processing system 3 calculates the amount of the sorted and stacked goods and is matched with the independent calculation of the amount of the top-layer goods to automatically calculate the inventory amount and upload the internet of things for intelligent management.
Further, the auxiliary positioning component 8 comprises a first echelette grating 81, the first echelette grating 81 is arranged at the side edge of the passing frame 7 and is connected with the terminal processing system 3, and at the moment that a forklift carries goods and the front end of the goods passes through the first echelette grating 81, the terminal processing system 3 receives arrival information of the goods and controls the second visual sensor 51 to collect the size of the front surface;
still including two 82 echelettes, two 82 echelettes are also set up on the frame 7 of passing to hug closely the setting along fork truck advancing direction and be in the rear of echelette 81, when detecting that the goods passes through echelette 81 and measures the size after through two 82 echelettes, two 51 stop data acquisition of vision sensor.
The positioning process of the auxiliary positioning component 8 specifically comprises the following steps:
s1: the front end of the goods passes through the first infrared grating 81, and the second vision sensor 51 collects the front door size information of the stacked goods, so that the size of an image collected at the position of the stacked goods is always under the same scale with the size of a standard container;
s2: the goods continue to advance, and the second vision sensor 51 is closed while passing through the second infrared grating 82, so that the front size collection is completed.
Further, a top plate 83 is arranged at the top of the passing frame 7, a flashing alarm lamp 84 is arranged on the top plate 83, and the flashing alarm lamps 84 are connected with the terminal processing system 3 and are respectively flashing red and green;
when the first visual sensor 41 and the second visual sensor 51 acquire the cleared images and size information, the green flashing alarm lamp 84 flashes green, and the forklift normally passes through and carries stocked goods;
when the images acquired by the first visual sensor 41 and the second visual sensor 51 are not clear and size information cannot be acquired, the red flashing alarm lamp 84 flashes red to remind a person to back the car and enable the forklift to pass again for secondary acquisition.
The strip-shaped lamp 61 is a red light source to increase the visible capability of the light band and ensure accurate image acquisition and use.
The top plate 83 is detachably connected to the passing frame 7 so as to facilitate the assembly and disassembly of the equipment.
It should be noted that the data collected by the first vision sensor 41 and the second vision sensor 51 are the longest size data, that is, whether the top layer of the goods is full or not, the top layer of the goods is also sorted into a whole layer and counted.
Specifically, firstly, in the present scheme, there is an error inevitably in the actual measurement process of the length, width and height, so that in the actual measurement, we approximate the measurement value to be rounded, and the present scheme provides an embodiment herein, assuming that the standard container is in the specification of 30cm × 30cm × 30cm, we use 30 bits as a unit value, more than 15 bits in advance, less than 15 bits in retreat when the data is approximate to be rounded:
s1: when the length of the side face of the goods collected by the first vision sensor 41 is 89cm, the system is rounded to 90cm, and three rows of goods are stacked in the length direction through calculation;
meanwhile, when the height of the collected goods is 99cm, the system takes up 90cm, and three layers are stacked in the height direction of the goods by calculation;
s2: when the width of the front surface of the goods collected by the second vision sensor 51 is 100cm, the system takes up 90cm, and three rows of goods stacked in the width direction are calculated;
s3: namely, the stacking mode of 3 multiplied by 3 is preliminarily calculated, and the total number is twenty seven;
s4: when the third vision sensor 62 collects image data, the narrowest light band of the whole light band at the top layer is used as a contrast, and an image larger than the width of the narrowest light band is automatically filtered, and finally the third vision sensor 62 collects that the length of the narrowest light band at the first row is 35cm, the length of the shortest light band at the second row is 65cm, and the length of the shortest light band at the third row is 0, namely the top is provided with three containers;
s5: and calculating 27- (9-3) =21, and accurately counting the input amount of each stock goods.
It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides an operation management system is made in production based on internet of things, includes product logistics information supervisory module (1), product stock information acquisition module (2) and terminal processing system (3), its characterized in that: the product inventory information acquisition module (2) comprises:
a lateral dimension acquisition module (4): collecting the size of the side face of stacked goods on a pallet loaded by a forklift;
front size acquisition module (5): collecting the front size of stacked goods on a pallet loaded by a forklift;
still include top layer freight volume collection module (6): automatic counting of the top cargo amount for sorting;
the front and side sizes of the piled goods are collected and sorted, and compared with the size of a standard single container, the terminal processing system (3) calculates the amount of the piled goods, and the amount of the goods on the top layer is independently calculated to automatically calculate the inventory amount and upload the Internet of things for intelligent management.
2. The production, manufacturing, operation and management system based on the internet of things technology as claimed in claim 1, wherein: a passing frame (7) is arranged at the position of the warehouse outlet, a detention area (71) is arranged on the ground at the position of the passing frame (7), a forklift passes through the passing frame (7) during the warehousing, and information of the collected goods amount stays in the detention area (71);
the side face size acquisition module (4) comprises a first visual sensor (41), the first visual sensor (41) is arranged at the side edge position of the passing frame (7) and aims at the side face of stacked goods on the inventory carrying forklift;
the side dimension acquisition module (4) specifically comprises the following steps:
s1: the first visual sensor (41) collects the length and height of stacked goods and records the length and height into a system;
s2: and the terminal processing system (3) compares the recorded length and height data with the length and height dimensions of the standard single container, and calculates the length and height dimensions of the standard single container so as to automatically calculate the stacking quantity of the goods in the length direction and the height direction.
3. The production, manufacturing, operation and management system based on the internet of things technology as claimed in claim 2, wherein: the front size acquisition module (5) comprises a second visual sensor (51), and the second visual sensor (51) is opposite to the front of the stacked goods in the stagnation area;
the device is characterized by further comprising an auxiliary positioning component (8), wherein the auxiliary positioning component (8) is arranged on the passing frame (7) and used for ensuring that the inventory carrying forklift and stacked goods are always equidistant to the second vision sensor (51) in a stagnation area;
the front size acquisition module (5) specifically comprises the following steps:
s1: the second vision sensor 51 collects the width and height dimensions of the stacked goods and inputs the width and height dimensions into the system;
s2: and the terminal processing system (3) compares the recorded width and height data with the length and height dimensions of the standard single container, calculates the data, automatically calculates the stacking number of the goods in the width direction, and simultaneously performs secondary calculation and calibration on the stacking number of the goods in the height direction.
4. The production, manufacturing, operation and management system based on the internet of things technology as claimed in claim 3, wherein: the auxiliary positioning component (8) comprises a first infrared grating (81), the first infrared grating (81) is arranged at the side edge of the passing frame (7) and is connected with the terminal processing system (3), and at the moment that a forklift carries goods and the front end of the goods passes through the first infrared grating (81), the terminal processing system (3) receives arrival information of the goods and controls the second visual sensor (51) to collect the size of a front surface;
the second infrared grating (82) is also arranged on the passing frame (7) and is arranged behind the first infrared grating (81) in a close fit mode along the advancing direction of the forklift, and when the goods are detected to pass through the first infrared grating (81) and the second infrared grating (82) after the sizes of the goods are measured, the second vision sensor (51) stops data acquisition;
the positioning process of the auxiliary positioning component (8) specifically comprises the following steps:
s1: the front end of the goods passes through the first infrared grating (81), and the second vision sensor (51) collects the front door size information of the stacked goods, so that the size of an image collected at the position of the stacked goods is always under the same scale with the size of a standard container;
s2: the goods continue to advance, and the second vision sensor (51) is closed while passing through the second infrared grating (82), so that the front size collection is completed.
5. The production, manufacturing, operation and management system based on the technology of the internet of things according to claim 4, wherein: a top plate (83) is arranged at the top of the passing frame (7), a flashing alarm lamp (84) is arranged on the top plate (83), the flashing alarm lamp (84) is connected with the terminal processing system (3), and the number of the flashing alarm lamps is two, namely flashing red and flashing green;
when the first visual sensor (41) and the second visual sensor (51) acquire the cleared images and size information, the green flashing alarm lamp (84) flashes green, and a forklift normally passes through and carries stocked goods;
when the size information cannot be acquired due to the fact that images acquired by the first visual sensor (41) and the second visual sensor (51) are not clear, the red flashing alarm lamp (84) flashes red to remind a person to back up the car and enable the forklift to pass again, and secondary acquisition is conducted.
6. The production, manufacturing, operation and management system based on the technology of the internet of things according to claim 5, wherein: the top layer cargo quantity acquisition module (6) comprises a plurality of strip-shaped lamps (61) arranged at the bottom of the top plate (83), the strip-shaped lamps (61) are arranged at equal intervals, the distance between every two adjacent strip-shaped lamps (61) is the same as the length of a standard container, and the distance between the first strip-shaped lamp (61) and the first infrared grating (81) in the horizontal direction is half of the length of the standard container, so that when the first infrared grating (81) triggers the second vision sensor (51) to acquire images, each strip-shaped lamp (61) is ensured to respectively correspond to one row of containers;
the device is characterized by further comprising a third visual sensor (62), wherein the third visual sensor (62) is arranged at the bottom of the top plate (83) and is opposite to the top surfaces of stacked goods, the number of the top goods is automatically calculated and determined according to the width of a lamp strip of the strip-shaped lamp (61) on the top goods, and the number of the top goods conveyed in one time is obtained after calculation;
the top layer cargo quantity acquisition module (6) specifically comprises the following steps:
s1: when the forklift carries goods and the front ends of the goods pass through the first infrared grating (81), the third visual sensor (62) collects light band data on top-layer goods, namely the length of the light band with the minimum width on each row of top-layer goods;
s2: and comparing the length of the light band with the minimum width with the width of the standard container to calculate the top cargo quantity.
7. The production, manufacturing, operation and management system based on the technology of the internet of things according to claim 6, wherein: the strip-shaped lamp (61) is a red light source.
8. The production, manufacturing, operation and management system based on the internet of things technology as claimed in claim 7, wherein: the top plate (83) is detachably connected with the passing frame (7).
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