CN113525988A - Lightweight logistics storage working condition monitoring method and device based on Internet of things technology and electronic equipment - Google Patents
Lightweight logistics storage working condition monitoring method and device based on Internet of things technology and electronic equipment Download PDFInfo
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- CN113525988A CN113525988A CN202110866736.7A CN202110866736A CN113525988A CN 113525988 A CN113525988 A CN 113525988A CN 202110866736 A CN202110866736 A CN 202110866736A CN 113525988 A CN113525988 A CN 113525988A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/0492—Storage devices mechanical with cars adapted to travel in storage aisles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
- B65G1/1371—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed with data records
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
- B65G1/1373—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed for fulfilling orders in warehouses
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Abstract
The application relates to a method, a device and electronic equipment for monitoring light-weight logistics storage working conditions based on the technology of Internet of things, wherein logistics elements involved in the storage process comprise an operator, a forklift, a transport vehicle, a goods shelf, a skip car, a tray and a bin, and all the logistics elements are provided with an Internet of things technology module; acquiring position information of the IOT (Internet of things) technology module installed on a corresponding logistics element; determining an expansion distance according to the position information and the minimum circumscribed rectangle two-dimensional area; the method comprises the steps of obtaining a preset working condition identification distance, determining an actual working condition identification distance according to the preset working condition identification distance and an extension distance, improving the accuracy of working condition identification to a certain extent, and reducing the error caused by working condition identification due to operation reasons.
Description
Technical Field
The application relates to the field of warehouse logistics, in particular to a method and a device for monitoring light-weight logistics storage working conditions based on the technology of the Internet of things and electronic equipment.
Background
The logistics storage center is the place of managing commodity storage, transportation, packing, processing, loading and unloading, transport, disposes logistics management platform usually for commodity is faster, more economic flow, can improve the commodity circulation regulatory level, accelerates the commodity circulation velocity of flow, shortens circulation time, reduces the circulation expense.
In the correlation technique, all be provided with internet of things module on a plurality of commodity circulation elements of storage center, but a plurality of internet of things module intercommunications, a plurality of internet of things module all communicate with the management center simultaneously, carry out the transport of goods to commodity circulation storage center, when the storage is placed, the internet of things module intercommunications of corresponding commodity circulation element carries out operating mode monitoring, when the distance between corresponding commodity circulation element is less than preset distance, then judge and be working, when being greater than preset distance, then judge and accomplish work, between corresponding commodity circulation element in the course of the work, the distance exceeds preset distance in the course of the work because of the operation reason can appear sometimes.
With respect to the related art described above, the inventors consider that there is a case where the condition identification is inaccurate.
Disclosure of Invention
In order to improve the accuracy of working condition identification, the application provides a method and a device for monitoring the light-weight logistics storage working condition based on the technology of the Internet of things and electronic equipment.
In a first aspect, the application provides a method for monitoring a light-weight logistics storage working condition based on an internet of things technology, which adopts the following technical scheme:
a monitoring method for light-weight logistics storage working condition based on Internet of things technology comprises the logistics elements related to the storage process, including operating personnel, forklift trucks, transport vehicles, goods shelves, skip cars, trays and bins, wherein the logistics elements are all provided with Internet of things technology modules,
acquiring a minimum circumscribed rectangle two-dimensional area of the logistics elements;
acquiring position information of the IOT (Internet of things) technology module installed on a corresponding logistics element;
determining an expansion distance according to the position information and the minimum circumscribed rectangle two-dimensional area;
and acquiring a preset working condition identification distance, and determining an actual working condition identification distance according to the preset working condition identification distance and the extension distance.
By adopting the technical scheme, the position information of the IOT (Internet of things) technical module installed on the corresponding logistics element is acquired by acquiring the minimum circumscribed rectangle two-dimensional area of the logistics element, an extended distance is determined according to the position information and the minimum circumscribed rectangle two-dimensional area, and an actual working condition identification distance is determined according to the extended distance and a preset working condition identification distance; when the operation is carried out, because of the different operation modes, do not carry out the operation to appointed position, the commodity circulation element remove the factor such as probably lead to the distance between the corresponding commodity circulation element too big, the distance that the thing networking technology module on the two commodity circulation elements that lead to the interact discerned surpasss preset operating mode discernment distance, lead to the operating mode to judge the mistake, through design extension distance, increase the discernment distance of the thing networking technology module on the corresponding commodity circulation element, the degree of accuracy of operating mode discernment has been improved to a certain extent.
Optionally, the method for obtaining the minimum circumscribed rectangular two-dimensional area of the logistics element specifically includes:
acquiring a three-dimensional model of the logistics elements;
generating an actual two-dimensional area representing the logistics elements relative to the ground according to the three-dimensional model;
acquiring a minimum circumscribed rectangle of the actual two-dimensional area;
and generating the minimum circumscribed rectangle two-dimensional area according to the minimum circumscribed rectangle.
Optionally, the method for generating an actual two-dimensional region representing the logistics element relative to the ground according to the three-dimensional model specifically includes:
acquiring the projection of a top view of the logistics element three-dimensional model;
the projection is taken as the actual two-dimensional area.
Optionally, the method for determining an extended distance according to the position information and the minimum bounding rectangle two-dimensional region specifically includes,
determining the position of the IOT technology module in the minimum circumscribed rectangle two-dimensional area according to the position information;
calculating and sequencing the distances from the position of the IOT technology module in the minimum circumscribed rectangle two-dimensional region to the four corner points of the minimum circumscribed rectangle two-dimensional region;
and taking the maximum distance between the position of the IOT technology module in the minimum external rectangle two-dimensional region and four corner points of the minimum external rectangle two-dimensional region as the extension distance.
Optionally, the method for determining the actual working condition identification distance according to the preset working condition identification distance and the extension distance specifically includes,
the actual working condition identification distance = a preset working condition identification distance + an expansion distance.
By adopting the technical scheme, the maximum distance is selected as the extension distance, the identification distance between the internet of things technology modules of interaction is increased as much as possible, and under the condition of improving the working condition identification accuracy, a larger working range is provided for the operation of logistics elements, and the warehousing work is facilitated.
In a second aspect, the application provides a light-weight logistics storage working condition monitoring device based on internet of things technology, which adopts the following technical scheme:
a light-weight logistics storage working condition monitoring device based on the technology of Internet of things comprises,
the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring a minimum circumscribed rectangle two-dimensional area of logistics elements;
the second acquisition module is used for acquiring the position information of the IOT (Internet of things) technical module installed on the corresponding logistics element;
the first processing module is used for determining an extended distance according to the position information and the minimum circumscribed rectangle two-dimensional area;
and the second processing module is used for acquiring the preset working condition identification distance and determining the actual working condition identification distance according to the preset working condition identification distance and the extension distance.
Optionally, the first obtaining module includes,
the first acquisition unit is used for acquiring a three-dimensional model of the logistics elements;
a first processing unit for generating an actual two-dimensional area representing the logistics elements relative to the ground according to the three-dimensional model;
the second acquisition unit is used for acquiring the minimum circumscribed rectangle of the actual two-dimensional area;
and the second processing unit is used for generating the minimum circumscribed rectangle two-dimensional area according to the minimum circumscribed rectangle.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
the electronic equipment comprises a memory and a processor, wherein the memory stores a computer program which can be loaded and executed by the processor and is used for the monitoring method of the light-weight logistics storage working condition based on the technology of the Internet of things.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium stores a computer program which can be loaded by a processor and executes a method for monitoring the light-weight logistics storage working condition based on the technology of the Internet of things.
To sum up, the application comprises the following beneficial technical effects:
acquiring position information of the IOT (Internet of things) technical module installed on the corresponding logistics element by acquiring a minimum circumscribed rectangle two-dimensional region of the logistics element, determining an extended distance according to the position information and the minimum circumscribed rectangle two-dimensional region, and determining an actual working condition identification distance according to the extended distance and a preset working condition identification distance; when the operation is carried out, because of the different operation modes, do not carry out the operation to appointed position, the commodity circulation element remove the factor such as probably lead to the distance between the corresponding commodity circulation element too big, the distance that the thing networking technology module on the two commodity circulation elements that lead to the interact discerned surpasss preset operating mode discernment distance, lead to the operating mode to judge the mistake, through design extension distance, increase the discernment distance of the thing networking technology module on the corresponding commodity circulation element, the degree of accuracy of operating mode discernment has been improved to a certain extent.
Drawings
Fig. 1 is a flowchart of a lightweight logistics storage working condition monitoring method based on the internet of things technology provided by the application.
Fig. 2 is an overall structure schematic diagram of the lightweight logistics storage working condition monitoring device based on the internet of things technology provided by the application.
Fig. 3 is a schematic structural diagram of an electronic device provided in the present application.
Description of reference numerals: 200. a monitoring device for light-weight logistics storage working conditions based on the technology of Internet of things; 201. a first acquisition module; 2011. a first acquisition unit; 2012. a first processing unit; 2013. a second acquisition unit; 2014. a second processing unit; 202. a second acquisition module; 203. a first processing module; 204. a second processing module; 301. a CPU; 302. a ROM; 303. a RAM; 304. an I/O interface; 305. an input section; 306. an output section; 307. a storage section; 308. a communication section; 309. a driver; 310. a removable media.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to fig. 1-3 and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The embodiment of the application discloses a method for monitoring light-weight logistics storage working conditions based on the technology of the Internet of things. With the development of social economy, the life rhythm of people is faster and faster, and the logistics industry is developed rapidly. The logistics informatization is a mainstream trend, and the logistics informatization refers to a management activity that logistics enterprises use modern information technology to collect, classify, transmit, gather, identify, track, inquire and the like all or part of information generated in the logistics process so as to control the goods flow process, thereby reducing the cost and improving the benefit.
In the correlation technique, improve the information-based degree of commodity circulation, on each commodity circulation element in logistics storage center, all set up internet of things module, the commodity circulation element includes the operation personnel, fork truck, haulage vehicle, goods shelves, the skip, tray and workbin, in the logistics business process of reality, internet of things module and host computer carry out data interaction, the realization is to the automatic interaction of the logistics business information between the commodity circulation element, these information include but not limited to goods, the vehicle, personnel's identification information, goods, the vehicle, personnel's positional information, the quantity information of goods operation, the guidance information etc. of goods place region or goods position, internet of things module on the commodity circulation element of interaction can discern each other in the course of the work simultaneously, judge the distance between two internet of things module, judge this moment and be in operating condition according to the distance.
Referring to fig. 1, a method for monitoring a light-weight logistics storage working condition based on the internet of things technology includes:
s101: and acquiring a minimum circumscribed rectangle two-dimensional area of the logistics elements.
The working condition monitoring in this embodiment is that whether interaction exists between two logistics elements is judged through mutual identification of internet of things technology modules on the logistics elements, for example, between a forklift and a goods shelf, when the forklift transports goods to the goods shelf, the forklift and the internet of things technology modules on the goods shelf can be mutually identified, and when the identified distance accords with a preset working condition distance, the forklift and the goods shelf are judged to have interaction and to be in a working state; when the distance is recognized to exceed the preset working condition distance, the goods are judged to be conveyed to finish the work.
Specifically, a three-dimensional model of the logistics elements is obtained firstly, when the logistics elements are designed, the three-dimensional model of the logistics elements is designed firstly, actual logistics elements are designed according to the three-dimensional model, after the three-dimensional model of the logistics elements is designed, the logistics elements are stored in a database of the server in a manual input mode, and when needed, the server calls the corresponding three-dimensional model of the logistics elements from the database.
Determining the projection of the top view of the three-dimensional model of the logistics elements relative to the ground according to the fact that the logistics elements are the three-dimensional model; the area occupied by the projection on the ground is an actual two-dimensional area of the logistics elements relative to the bottom surface; acquiring a minimum circumscribed rectangle of an actual two-dimensional area; the minimum circumscribed rectangle of the actual two-dimensional area is a boundary point manually selected from the actual two-dimensional area, the boundary point is drawn according to the boundary point and is used as the minimum circumscribed rectangle two-dimensional area of the logistics element, the drawn minimum circumscribed rectangle of the actual two-dimensional area corresponds to the corresponding logistics element and is stored in a database of the server, a comparison table of the logistics element and the minimum circumscribed rectangle of the actual two-dimensional area is formed, and during acquisition, the logistics element and the comparison table of the minimum circumscribed rectangle of the actual two-dimensional area can be determined according to needs, and the minimum circumscribed rectangle of the actual two-dimensional area is determined.
For example, when the logistics element is a tray, a three-dimensional model of the tray is called from the database, the tray is of a cuboid shape as a whole, a top view of the tray is obtained to be a rectangle according to the whole shape of the three-dimensional model of the tray, the obtained top view is parallel to the ground, the projection of the top view on the ground is made, the shape of the top view of the tray projected on the ground is determined, the actual size of the top view projected on the ground is determined according to the actual size of the tray, and the actual size of the top view projected on the ground is determined. Sequentially connecting four corner points of the projection, wherein the area defined by the four corner points is a two-dimensional area of the minimum external rectangle of the tray; when the projection of the top view of the tray on the ground is circular, two diameters which are perpendicular to each other are made through the circle center, the tangent lines of the circular projection are made through four end points of the two diameters respectively, and the area enclosed by the tangent lines is the minimum external rectangle of the circular projection and is the two-dimensional area of the minimum external rectangle of the tray. According to the shape of the regular graph formed by the projection of the top view of the tray on the ground, the minimum circumscribed rectangle is drawn in different modes and is used as the two-dimensional area of the minimum circumscribed rectangle of the tray, and the drawing of the minimum circumscribed rectangle of the regular graph is well known by the technical personnel in the field and is not described in detail herein.
When the projection of the top view of the tray on the ground is in an irregular shape, selecting four boundary points of east, west, south and north, making a straight line along the south and north direction after passing the two boundary points of east and west, making a straight line along the east and west direction after passing the two boundary points of south and north, and taking a rectangular area defined by the four straight lines as a two-dimensional area of the minimum external rectangle of the tray.
S102: and acquiring the position information of the IOT technology module installed on the corresponding logistics element.
Specifically, when the logistics element three-dimensional model is established, the installation position of the internet of things technology module is preset on the logistics element three-dimensional model, and the relative position of the internet of things technology module and the logistics element in practice, namely the position information of the internet of things technology module installed on the corresponding logistics element, can be obtained by obtaining the relative position of the installation position of the internet of things technology module preset on the three-dimensional model relative to the logistics element.
S103: and determining an extension distance according to the position information and the minimum circumscribed rectangle two-dimensional area.
Specifically, the position information is the position information of the IOT technology module installed on the corresponding logistics element, after the position information of the IOT technology module installed on the corresponding logistics element is obtained, a top view of the IOT technology module installed on the logistics element is obtained, the projection of the top view on the ground is determined, the two-dimensional region of the minimum external rectangle of the IOT technology module is obtained according to the projection, and the relative position relation of the two-dimensional region of the minimum external rectangle of the IOT technology module and the two-dimensional region of the minimum external rectangle of the logistics element is determined according to the relative position relation of the IOT technology module and the logistics element.
After a two-dimensional area of a minimum external rectangle of the IOT module is obtained, a central point of the two-dimensional area is determined, distances between the central point and four corner points of the two-dimensional area of the minimum external rectangle of the logistics elements are calculated, the calculated distances are sequentially sorted from large to small, the largest distance is selected as an extended distance, and the extended distance is an identification distance increased on a preset working condition identification distance in the mutual identification process of the IOT module on the interactive logistics elements.
S104: and acquiring a preset working condition identification distance, and determining an actual working condition identification distance according to the preset working condition identification distance and the extension distance.
Specifically, a preset working condition identification distance is set between the internet of things technology modules on the two interacting logistics elements, the preset working condition identification distance is an identification distance between the two internet of things technology modules determined by a worker according to ideal working positions of the two interacting logistics elements in an actual working process, and when the distance between the two internet of things technology modules is smaller than or equal to the preset distance, the two internet of things technology modules are judged to be in a working state; and when the distance between the two IOT technology modules is greater than the preset distance, finishing the judgment work.
In actual work, when the working state is often caused due to the influences of different personnel operation modes, field environments and other factors, the distance between the two internet of things modules exceeds the preset working condition identification distance, but at the moment, interaction exists between logistics elements corresponding to the two internet of things technical modules, so that working condition judgment errors are caused, and the release and execution of subsequent tasks are influenced.
Therefore, when the actual working condition identification distance is designed, the actual working condition identification distance = the preset working condition identification distance + the extension distance. The actual working condition identification distance is the distance actually identified by the internet of things technology modules on the two interacting logistics elements in the working process. Through designing the operating condition discernment distance, when having increased commodity circulation interact to a certain extent, the working space of commodity circulation element has reduced the condition of error in the operating condition discernment process.
Referring to fig. 2, the embodiment of the present application further discloses a lightweight logistics storage working condition monitoring device 200 based on the internet of things technology, including:
a first obtaining module 201, configured to obtain a minimum circumscribed rectangular two-dimensional region of a logistics element;
a second obtaining module 202, configured to obtain location information of the internet of things technology module installed on a corresponding logistics element;
the first processing module 203 is configured to determine an extended distance according to the position information and the minimum bounding rectangle two-dimensional region;
and the second processing module 204 is configured to obtain a preset working condition identification distance, and determine an actual working condition identification distance according to the preset working condition identification distance and the extended distance.
Wherein the first obtaining module 201 includes:
a first acquiring unit 2011, configured to acquire a three-dimensional model of the logistics elements;
a first processing unit 2012 for generating from said three-dimensional model a real two-dimensional area representing said logistic elements with respect to the ground;
a second obtaining unit 2013, configured to obtain a minimum bounding rectangle of the actual two-dimensional region;
a second processing unit 2014, configured to generate the minimum bounding rectangle two-dimensional region according to the minimum bounding rectangle.
An electronic device is further disclosed in the embodiments of the present application, and referring to fig. 3, the electronic device includes a schematic structural diagram of the electronic device suitable for implementing the embodiments of the present application shown in fig. 3. As shown in fig. 3, the electronic apparatus includes a Central Processing Unit (CPU) 301 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage section 307 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data necessary for system operation are also stored. The CPU301, ROM302, and RAM303 are connected to each other via a bus. An input/output I/O interface 304 is also connected to the bus.
The following components are connected to the I/O interface 304: an input section 305 including a keyboard, a mouse, and the like; an output section 306 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 307 including a hard disk and the like; and a communication section 308 including a network interface card such as a LAN card, a modem, or the like. The communication section 308 performs communication processing via a network such as the internet. Drivers 309 are also connected to the I/O interface 304 as needed. A removable medium such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 309 as necessary, so that a computer program read out therefrom is mounted into the storage section 307 as necessary.
In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart fig. 1 may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 308, and/or installed from a removable medium. The above-described functions defined in the apparatus of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 301.
The foregoing is a preferred embodiment of the present application and is not intended to limit the scope of the application in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Claims (9)
1. The utility model provides a light-weight logistics storage working condition monitoring method based on internet of things, the commodity circulation element that in-process that stores in a warehouse involves includes, operation personnel, fork truck, haulage vehicle, goods shelves, skip, tray and workbin, all be provided with internet of things module, its characterized in that on the commodity circulation element: the method comprises the steps of (1) carrying out,
acquiring a minimum circumscribed rectangle two-dimensional area of the logistics elements;
acquiring position information of the IOT (Internet of things) technology module installed on a corresponding logistics element;
determining an expansion distance according to the position information and the minimum circumscribed rectangle two-dimensional area;
and acquiring a preset working condition identification distance, and determining an actual working condition identification distance according to the preset working condition identification distance and the extension distance.
2. The internet of things technology-based lightweight logistics storage working condition monitoring method according to claim 1, characterized in that: the method for acquiring the minimum circumscribed rectangle two-dimensional area of the logistics elements specifically comprises the following steps:
acquiring a three-dimensional model of the logistics elements;
generating an actual two-dimensional area representing the logistics elements relative to the ground according to the three-dimensional model; acquiring a minimum circumscribed rectangle of the actual two-dimensional area;
and generating the minimum circumscribed rectangle two-dimensional area according to the minimum circumscribed rectangle.
3. The internet of things technology-based lightweight logistics storage working condition monitoring method according to claim 2, characterized in that: the method for generating the actual two-dimensional area representing the logistics element relative to the ground according to the three-dimensional model specifically comprises the following steps:
acquiring the projection of a top view of the logistics element three-dimensional model;
the projection is taken as the actual two-dimensional area.
4. The internet of things technology-based lightweight logistics storage working condition monitoring method according to claim 1, characterized in that: the method for determining an extended distance according to the position information and the minimum bounding rectangle two-dimensional area specifically comprises the following steps,
determining the position of the IOT technology module in the minimum circumscribed rectangle two-dimensional area according to the position information;
calculating and sequencing the distances from the position of the IOT technology module in the minimum circumscribed rectangle two-dimensional region to the four corner points of the minimum circumscribed rectangle two-dimensional region;
and taking the maximum distance between the position of the IOT technology module in the minimum external rectangle two-dimensional region and four corner points of the minimum external rectangle two-dimensional region as the extension distance.
5. The internet of things technology-based lightweight logistics storage working condition monitoring method according to claim 1, characterized in that: the method for determining the actual working condition identification distance according to the preset working condition identification distance and the extension distance specifically comprises the following steps,
the actual working condition identification distance = a preset working condition identification distance + an expansion distance.
6. The utility model provides a light-weight logistics storage operating mode monitoring devices (200) based on internet of things, its characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the system comprises a first acquisition module (201) for acquiring a minimum circumscribed rectangle two-dimensional area of logistics elements;
a second obtaining module (202) for obtaining the position information of the IOT technology module installed on the corresponding logistics element;
a first processing module (203) for determining an extended distance according to the position information and the minimum bounding rectangle two-dimensional area;
and the second processing module (204) is used for acquiring the preset working condition identification distance and determining the actual working condition identification distance according to the preset working condition identification distance and the extension distance.
7. The internet of things technology-based lightweight logistics storage working condition monitoring method according to claim 6, characterized in that: the first obtaining module (201) comprises,
a first acquiring unit (2011) for acquiring a three-dimensional model of the logistics element;
a first processing unit (2012) for generating, from said three-dimensional model, a real two-dimensional area representing said logistic elements with respect to the ground;
a second acquisition unit (2013) for acquiring a minimum circumscribed rectangle of the actual two-dimensional region;
a second processing unit (2014) for generating the minimum circumscribed rectangle two-dimensional area according to the minimum circumscribed rectangle.
8. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any of claims 1 to 5.
9. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 5.
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