CN113610465B - Production 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 inventory information acquisition module and a terminal processing system, wherein the product inventory information acquisition module comprises: a side surface size acquisition module; the front size collection module is different from the prior art in the operation management process of production and manufacture, especially the information collection of the quantity of the stock products, the automatic counting of the products which come in and go out of the warehouse and are packaged by the box body can be carried out, the goods which are stacked and stacked at the bottom and the goods which are not stacked and are stacked at the top of the forklift can be respectively counted in the counting process, and then the goods quantity information of stock transportation can be accurately collected, so that the effective operation management can be carried out, the collection data can be integrated into the internet of things, and the control and supervision can be realized.
Description
Technical Field
The invention relates to the technical field of operation management, in particular to a production, manufacture and operation management system based on the internet of things technology.
Background
Operation management is the planning, organization, implementation and control of operation processes, is a generic term for various management works closely related to product production and service creation, and may also refer to designing, running, evaluating and improving a system for producing and providing major products and services of a company from another perspective.
In the production and manufacturing process of enterprise products, the information of the products can be acquired through the Internet of things so as to monitor the products in the whole production position, and information exchange and communication are carried out through information transmission media so as to realize the functions of intelligent identification, positioning, tracking, monitoring and the like of the products in the whole intelligent production and manufacturing process.
At present, for the informatization inventory processing in the production and manufacturing process of products, the inventory of the quantity of the products in warehouse entry and warehouse exit is basically realized by means of manual technology or a code scanning mode, a large amount of manpower, material resources and financial resources are required to be consumed, the possibility of error in the manual collection and cleaning process of information is high, and the efficient operation management is influenced.
Disclosure of Invention
The invention aims to provide a production operation management system based on the internet of things technology, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides a production manufacturing operation management system based on internet of things, includes product logistics information supervision module, product stock information acquisition module and terminal processing system, product stock information acquisition module includes:
side dimension acquisition module: collecting the side dimensions of stacked cargoes on a pallet loaded by a forklift;
front size acquisition module: collecting the front size of stacked cargoes on a clamping plate loaded by a forklift;
the system also comprises a top cargo quantity acquisition module: for automatic counting of the amount of top-level cargo stacked for retooling;
the front and side dimensions of the goods in the stack are compared with the standard single container dimension, the terminal processing system calculates the goods quantity in the stack, and the goods quantity in the top layer is calculated independently, so that the inventory quantity is calculated automatically, and the internet of things is uploaded for intelligent management.
A passing frame is arranged at the outlet position 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 inventory, and information of the cargo quantity is collected in the detention area;
the side dimension acquisition module comprises a first visual sensor which is arranged at the side edge of the passing frame and aims at the side face of the stacked goods on the inventory carrying forklift.
The side dimension acquisition module specifically comprises the following steps:
s1: the visual sensor is used for acquiring the length and the height of the stacked goods and inputting the length and the height into the system;
s2: the terminal processing system compares the recorded length and height data with the standard single container length and height size, and calculates the length and height size so as to automatically calculate the stacking quantity of the cargoes in the length direction and the height direction.
The front size acquisition module comprises a second visual sensor, and the second visual sensor is opposite to the front of the stacked goods in the stagnation area;
the auxiliary positioning component is arranged on the passing frame and used for ensuring that the inventory handling forklift and the stacked goods are always equidistant from the second visual sensor in the stagnation area.
The front size acquisition module specifically comprises the following steps:
s1: the second visual sensor is used for collecting the width and height dimensions of the stacked goods and inputting the dimensions into the system;
s2: the terminal processing system compares the recorded width and height data with the standard single container length and height size, calculates, automatically calculates the number of the cargo stacks in the width direction, and performs secondary calculation and calibration on the number of the cargo stacks in the height.
The auxiliary positioning component comprises an infrared grating I, the infrared grating I is arranged at the side edge of the passing frame and is connected with the terminal processing system, and the terminal processing system receives information of arrival of goods and controls the visual sensor II to acquire the front size at the moment that the goods are carried by the forklift and the front end of the goods passes through the infrared grating I;
the infrared light sensor is characterized by further comprising an infrared grating II, wherein the infrared grating II is also arranged on the passing frame and is closely arranged behind the infrared grating I along the advancing direction of the forklift, and when the infrared grating II is used for measuring the size of goods together after the goods are detected, the vision sensor II stops data acquisition.
The positioning process of the auxiliary positioning component specifically comprises the following steps:
s1: the front end of the goods is provided with an infrared grating I, a visual sensor II acquires the size information of the front door of the stacked goods, so that the size of an image acquired by the stacked goods at the position is always in the same scale as the size of a standard container;
s2: and the goods continue to travel, and the visual sensor II is closed when passing through the infrared grating II, 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 a flashing alarm lamp which is connected with the terminal processing system and is provided with two flashing red and flashing green respectively;
when the first vision sensor and the second vision sensor acquire the cleared images and the size information, the green flashing alarm lamp flashes green, and the forklift normally passes through to carry the stock goods;
when the size information cannot be acquired due to unclear images acquired by the first visual sensor and the second visual sensor, the red flashing alarm lamp flashes red to remind a person to reverse the car to pass the forklift again for secondary acquisition.
The top-layer cargo quantity acquisition module comprises a plurality of strip lamps arranged at the bottom of the top plate, wherein the strip lamps are equidistantly arranged, the distance between every two adjacent strip lamps is the same as the length dimension of a standard container, and the distance between a first strip lamp and a first infrared grating is half of the length of the standard container, so that when the first infrared grating triggers a visual sensor to acquire images, each strip lamp is ensured to correspond to a row of containers;
the automatic control system is characterized by further comprising a vision sensor III, wherein the vision sensor III is arranged at the bottom of the top plate and is opposite to the top surface of the stacked goods, the quantity of the top-layer goods is automatically calculated and determined through the width of the strip-shaped lamps on the top-layer goods, and the quantity of the single-time carried goods is obtained after calculation.
The top-layer cargo quantity acquisition module specifically comprises the following steps:
s1: when the forklift carries cargoes and the front end of the cargoes passes through the first infrared grating, the vision sensor III acquires the data of the light bands on the cargoes on the top layer, namely the length of the light band with the minimum width on each row of cargoes on the top layer;
s2: and comparing the length of the minimum width light band with the width of the standard container, and calculating the top cargo amount.
The strip 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 method is different from the prior art, in the operation management process of production and manufacture, particularly for the information collection of the quantity of inventory products, the automatic counting of products which come in and go out of the warehouse and are packaged by adopting the box body can be automatically carried out, in the counting process, the goods which are stacked at the bottom and are not stacked at the top on the forklift can be respectively counted, further, the information of the quantity of goods which are carried by the inventory is accurately collected, so that effective operation management is carried out, the collected data are integrated into the Internet of things, and the control and supervision are realized.
Drawings
FIG. 1 is a schematic diagram of a system according to the present invention;
FIG. 2 is a schematic diagram of the overall structure of the present invention;
FIG. 3 is a schematic view of the structure of FIG. 2 in another orientation in accordance with the present invention;
FIG. 4 is a schematic view of the partial structure of FIG. 3 according to the present invention;
FIG. 5 is a schematic view of the structure of FIG. 4 in another orientation in accordance with the present invention;
FIG. 6 is a schematic diagram of an image captured by the top-level cargo amount capture module of the present invention.
In the figure: 1-a product logistics information supervision module; 2-a product inventory information acquisition module; 3-a terminal processing system; 4-a side dimension acquisition module; 41-visual sensor one; 5-a front size acquisition module; 51-visual sensor two; 6-a top-layer cargo quantity acquisition module; 61-strip lamp; 62-visual sensor three; 7-passing frames; 71-a hold-up zone; 8-auxiliary positioning parts; 81-an infrared grating I; 82-an infrared grating II; 83-top plate; 84-flashing alarm lamp.
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. 1-6, the present invention provides a technical solution: the production manufacturing operation management system based on the internet of things comprises a product logistics information supervision module 1, a product inventory information acquisition module 2 and a terminal processing system 3, wherein the product inventory information acquisition module 2 comprises:
side dimension acquisition module 4: the method comprises the steps that the side face size of the stacked goods on a pallet loaded by a forklift is collected, a passing frame 7 is arranged at an outlet position of a storehouse, a detention area 71 is arranged on the ground at the position of the passing frame 7, the forklift passes through the passing frame 7 during inventory, and information of the collected goods amount stays in the detention area 71, a first visual sensor 41 is arranged at the side edge position of the passing frame 7, and the first visual sensor 41 is arranged on the side face of the stacked goods on the forklift for inventory transportation;
the side dimension acquisition module 4 specifically comprises the following steps:
s1: the first visual sensor 41 collects the length and the height of the stacked goods and records the length and the height into a system;
s2: the terminal processing system 3 compares the entered length and height data with standard single container length and height dimensions and calculates to automatically calculate the number of stacks of the cargo in the length and height directions.
Front size collection module 5: the front size collection module 5 comprises a second visual sensor 51, the second visual sensor 51 is opposite to the front of the stacked cargoes in the stagnation area, the auxiliary positioning component 8 is arranged on the passing frame 7 and used for guaranteeing that the inventory carrying forklift and the stacked cargoes are always equidistant from the second visual sensor 51 in the stagnation area.
The front size collection module 5 specifically includes the following steps:
s1: the second visual sensor 51 collects the width and height dimensions of the stacked goods and inputs the dimensions into the system;
s2: the terminal processing system 3 compares the entered width and height data with the standard single container length and height dimensions, calculates, automatically calculates the number of stacks of goods in the width direction, and performs secondary calculation and calibration on the number of stacks of goods in the height.
The system also comprises a top cargo quantity acquisition module 6: the top cargo amount collection module 6 is used for automatically counting the amount of top cargo stacked for the sorting, the top cargo amount collection module comprises strip lamps 61 arranged at the bottom of the top plate 83, a plurality of strip lamps 61 are equidistantly arranged, the distance between every two adjacent strip lamps 61 is the same as the length dimension of a standard cargo box, the distance between the first strip 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 infrared grating 81 triggers the second infrared grating 51 to collect images, each strip lamp 61 corresponds to one row of cargo box, the top cargo amount collection module further comprises a third visual sensor 62, the third visual sensor 62 is arranged at the bottom of the top plate 83 and faces the top surface of stacked cargo, the amount of top cargo is automatically calculated and determined through the light width of the strip lamps 61 on the top cargo box, and the number of single-time carried cargo is obtained after calculation.
The top cargo amount collection module 6 specifically comprises the following steps:
s1: when the forklift carries cargoes and the front end of the cargoes passes through the first infrared grating 81, the third visual sensor 62 collects the data of the light bands on the cargoes on the top layer, namely the length of the light band with the smallest width on each row of cargoes on the top layer;
s2: and comparing the length of the minimum width light band with the width of the standard container, and calculating the top cargo amount.
Furthermore, the front and side dimensions of the goods in the stack are compared with the standard single container dimension, the terminal processing system 3 calculates the goods in the stack, and the goods in the stack are calculated independently in cooperation with the top-layer goods, so that the stock quantity is calculated automatically, and the internet of things is uploaded for intelligent management.
Further, the auxiliary positioning component 8 includes a first infrared grating 81, the first infrared grating 81 is disposed at a side position of the passing frame 7 and is connected with the terminal processing system 3, and when the forklift carries the goods and the front end of the goods passes through the first infrared grating 81, the terminal processing system 3 receives the arrival information of the goods and controls the second visual sensor 51 to acquire the front size;
the infrared light sensor is characterized by further comprising an infrared grating II 82, wherein the infrared grating II 82 is also arranged on the passing frame 7 and is closely arranged behind the infrared grating II 81 along the travelling direction of the forklift, and when the goods pass through the infrared grating II 82 after passing through the infrared grating II 81 and measuring the size, the vision sensor II 51 stops data acquisition.
The positioning process of the auxiliary positioning member 8 specifically includes the following steps:
s1: the front end of the goods passes through the first infrared grating 81, and the second visual sensor 51 collects the size information of the front door of the stacked goods, so that the size of the image collected by the stacked goods at the position is always in the same scale with the size of the standard container;
s2: the goods continue to travel, and the second visual 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, and a flashing alarm lamp 84 is arranged on the top plate 83, and the flashing alarm lamp 84 is connected with the terminal processing system 3 and is provided with two flashing red and flashing green respectively;
when the first visual sensor 41 and the second visual sensor 51 acquire clear images and size information, the green flashing alarm lamp 84 flashes green, and the forklift normally passes through to carry the stock goods;
when the size information cannot be acquired due to unclear images acquired by the first visual sensor 41 and the second visual sensor 51, the red flashing alarm lamp 84 flashes red to remind the person to reverse the car to pass the forklift again for secondary acquisition.
The strip lamp 61 is a red light source to increase the optical band visibility and ensure accurate image acquisition.
The top plate 83 is detachably connected with the passing frame 7 so as to facilitate the disassembly and assembly of the equipment.
The longest dimension data collected by the first visual sensor 41 and the second visual sensor 51 are all the longest dimension data, that is, the goods are integrated into one whole layer and counted no matter whether the top layer of the goods is integrated or not.
Specifically, firstly, in the actual measurement process of the length, width and height dimensions in the scheme, errors are necessarily present, so that during actual measurement, the measured value is approximately rounded, and the scheme provides an embodiment herein, and assuming that the standard container is 30cm×30cm specification, when the data is approximately rounded, we use 30 bit unit values, more than 15 in one bit, and less than 15 out one bit:
s1: the first visual sensor 41 collects that the side surface length of the goods is 89cm, the system is rounded to 90cm, and three rows of goods are calculated to be stacked in the length direction;
meanwhile, when the height of the collected goods is 99cm, the system takes the whole 90cm, and three layers are stacked in the height direction of the collected goods;
s2: the second visual sensor 51 collects that the width of the front face of the goods is 100cm, the system takes the whole 90cm, and three rows of goods are stacked in the width direction;
s3: namely, preliminarily calculating the stacking mode of 3 multiplied by 3, and the total is twenty-seven;
s4: when the vision sensor III 62 collects image data, the narrowest light band of the whole top light band is used as contrast, images with the width larger than the light band are automatically filtered, the final vision sensor III 62 collects the first row of the narrowest light bands with the length of 35cm, the second row of the shortest light bands with the length of 65cm, and the third row of the shortest light bands with the length of 0, namely three containers are arranged at the top;
s5: calculate 27- (9-3) =21, count each inventory item in-put accurately.
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.
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 (5)
1. The utility model provides a production manufacturing operation management system based on internet of things, includes product logistics information supervision 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:
side dimension acquisition module (4): collecting the side dimensions of stacked cargoes on a pallet loaded by a forklift;
front dimension acquisition module (5): collecting the front size of stacked cargoes on a clamping plate loaded by a forklift;
the system also comprises a top-layer cargo quantity acquisition module (6): for automatic counting of the amount of top-level cargo stacked for retooling; comparing the front and side dimensions of the goods in the stack with the standard single container dimension, calculating the goods in the stack by a terminal processing system (3), and matching with the independent calculation of the top-layer goods, automatically calculating the inventory, uploading the inventory to the internet of things for intelligent management, arranging a passing frame (7) at the outlet position of the inventory, arranging a detention area (71) on the ground at the position of the passing frame (7), enabling a forklift to pass through the passing frame (7) during inventory, and detenting the information of the goods in the detention area (71); the side dimension acquisition module (4) comprises a first visual sensor (41), wherein the first visual sensor (41) is arranged at the side edge position of the passing frame (7) and aims at the side face of the stacked goods on the inventory handling forklift; the side dimension acquisition module (4) specifically comprises the following steps:
s1: the first visual sensor (41) is used for collecting the length and the height of the stacked goods and inputting the length and the height into a system;
s2: the terminal processing system (3) compares the recorded length and height data with the standard single container length and height size, and calculates the length and height size so as to automatically calculate the stacking quantity of the cargoes in the length direction and the height direction;
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 detention area; the automatic transporting and transporting device also comprises an auxiliary positioning component (8), wherein the auxiliary positioning component (8) is arranged on the passing frame (7) and is used for ensuring that the inventory transporting forklift and the stacked goods are always equidistant from the second visual sensor (51) in the stagnation area; the front size acquisition module (5) specifically comprises the following steps:
s1: the second visual sensor 51 collects the width and height dimensions of the stacked goods and inputs the dimensions into the system;
s2: the terminal processing system (3) compares the recorded width and height data with the standard single container length and height size, calculates, automatically calculates the number of the cargo stacks in the width direction, and performs secondary calculation and calibration on the number of the cargo stacks in the height;
the auxiliary positioning component (8) comprises an infrared grating I (81), the infrared grating I (81) is arranged at the side edge of the passing frame (7) and is connected with the terminal processing system (3), and when a forklift is used for carrying goods and the front end of the goods passes through the infrared grating I (81), the terminal processing system (3) receives the information of the arrival of the goods and controls the visual sensor II (51) to acquire the front size; the device also comprises an infrared grating II (82), wherein the infrared grating II (82) is also arranged on the passing frame (7) and is closely arranged behind the infrared grating I (81) along the travelling direction of the forklift, and when the goods pass through the infrared grating I (81) and pass through the infrared grating II (82) after the goods are detected to pass through the infrared grating I (81) and the sizes are measured, the vision sensor II (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 is provided with a first infrared grating (81), and a second visual sensor (51) is used for collecting the size information of the front door of the stacked goods, so that the size of an image collected by the stacked goods at the position is always in the same scale as the size of a standard container;
s2: the goods continue to travel, and the second visual sensor (51) is closed while passing through the second infrared grating (82), so that the front size collection is completed.
2. The production, manufacturing and operation management system based on the internet of things technology as set forth in claim 1, 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), and the flashing alarm lamp (84) is connected with the terminal processing system (3) and is provided with two flashing red and flashing green respectively;
when the first vision sensor (41) and the second vision sensor (51) acquire clear images and size information, the green flashing warning lamp (84) flashes green, and the forklift normally passes through to carry the stock goods;
when the size information cannot be acquired due to unclear images acquired by the first vision sensor (41) and the second vision sensor (51), the red flashing alarm lamp (84) flashes red to remind a person to reverse the car to pass the forklift again for secondary acquisition.
3. The production, manufacturing and operation management system based on the internet of things technology as set forth in claim 2, wherein: the top cargo quantity collection module (6) comprises strip lamps (61) arranged at the bottom of the top plate (83), wherein a plurality of strip lamps (61) are equidistantly arranged, the distance between every two adjacent strip lamps (61) is the same as the length dimension of a standard container, and the distance between the first strip 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 collect images, each strip lamp (61) corresponds to a row of containers;
the system also comprises a vision sensor III (62), wherein the vision sensor III (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 through the width of the strip-shaped lamp (61) on the top-layer goods, and the quantity of the single-time carried goods is obtained after calculation;
the top-layer cargo quantity acquisition module (6) specifically comprises the following steps:
s1: when the forklift carries cargoes and the front end of the cargoes passes through the first infrared grating (81), the third visual sensor (62) collects the data of the light bands on the cargoes on the top layer, namely the length of the light band with the smallest width on each row of cargoes on the top layer;
s2: and comparing the length of the minimum width light band with the width of the standard container, and calculating the top cargo amount.
4. A production, manufacturing and operation management system based on the internet of things technology according to claim 3, wherein: the strip lamp (61) is a red light source.
5. The production, manufacturing and operation management system based on the internet of things technology as set forth in claim 4, wherein: the top plate (83) is detachably connected with the passing frame (7).
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