Intelligent workshop management method and system based on internet of things

Abstract

The application is suitable for the technical field of workshop management, and particularly relates to a smart workshop management method and system based on the Internet of Things. The method comprises the following steps: acquiring a workshop management map, wherein a plurality of functional areas and workstation areas are arranged in the workshop management map; generating a plurality of available moving paths according to the positions of the workstation areas and the positions of the functional areas; demarcating a pipeline monitoring area according to the workshop management map, and monitoring the product flow speed; tracking the positions of the workers at each workstation, and issuing an alarm and adjusting the product flow speed when the workers leave the workstation areas. The application divides the workshop into areas, thereby setting the specific moving paths of the workers in advance, and identifying the positions of the workers. When the workers leave their posts, the product flow speed is actively adjusted, thereby avoiding the shutdown of the pipeline and ensuring the production stability.

Description

Technical Field

[0001] This invention belongs to the field of workshop management technology, and in particular relates to a smart workshop management method and system based on the Internet of Things. Background Technology

[0002] Smart factories represent a new stage in the informatization of modern factories. Building upon digital factories, they leverage IoT and equipment monitoring technologies to enhance information management and services; clearly understand production and sales processes; improve the controllability of production processes; reduce manual intervention on production lines; collect production line data accurately and in real time; and rationally plan and schedule production. They integrate green and intelligent methods and smart systems to create a highly efficient, energy-saving, environmentally friendly, and comfortable human-centered factory. This is the practical application of IBM's "Smarter Planet" concept in the manufacturing industry.

[0003] In the current display device manufacturing process, manual assembly is required. Components and other items are transported via an assembly line, and workers assemble the products on both sides of the assembly line. Once assembly is complete, the finished product is obtained.

[0004] In existing technology, workers on the assembly line cannot leave their posts, otherwise goods will pile up, causing the entire assembly line to stop operating. Summary of the Invention

[0005] The purpose of this invention is to provide a smart workshop management method based on the Internet of Things, which aims to solve the problem that workers on the assembly line cannot leave their posts, otherwise goods will pile up and the entire assembly line will stop operating.

[0006] This invention is implemented as follows: a smart workshop management method based on the Internet of Things, the method comprising:

[0007] Obtain a workshop management map, which includes multiple functional areas and workstation areas;

[0008] Multiple available movement paths are generated based on the location of the workstation area and the location of the functional area;

[0009] The production line monitoring area is delineated based on the workshop management map to monitor the product flow speed;

[0010] The system tracks the location of workers at each workstation, triggers an alarm when a worker leaves the workstation area, and adjusts the product flow speed accordingly.

[0011] Preferably, the step of generating multiple available movement paths based on the location of the workstation area and the location of the functional area specifically includes:

[0012] Retrieve the workshop management map, identify the various functional areas and workstation areas, and delineate the usable movement area;

[0013] Query the preset personnel parameters and equipment parameters, and generate the available movement range of personnel and equipment;

[0014] Based on the location of each person and the location of the equipment, generate multiple available movement paths for each person and equipment.

[0015] Preferably, the step of delineating the production line monitoring area according to the workshop management map and monitoring the product flow speed specifically includes:

[0016] The production line monitoring area is delineated according to the workshop management map, and a product database is constructed, which contains reference images of each component.

[0017] Images are captured from the monitored area of ​​the production line to obtain product images;

[0018] The acquired product images are compared with reference images to identify the corresponding accessories and calculate the product flow speed.

[0019] Preferably, the step of tracking the location of workers at each workstation, issuing an alarm when a worker leaves the workstation area, and adjusting the product flow speed specifically includes:

[0020] The system tracks the location of staff at each workstation and identifies their gestures.

[0021] The system determines whether a worker has left their designated work area based on their location and checks in real time whether their gestures match the preset gestures.

[0022] An alarm is triggered and the product flow speed is adjusted when a worker leaves the work area and / or when a worker's gesture matches a preset gesture.

[0023] Preferably, in the step of acquiring images of the production line monitoring area, image acquisition is performed at preset time intervals.

[0024] Preferably, when adjusting the product flow speed, the adjustment is based on the number of remaining staff.

[0025] Another objective of this invention is to provide an Internet of Things (IoT)-based smart workshop management system, the system comprising:

[0026] The map acquisition module is used to acquire a workshop management map, which includes multiple functional areas and workstation areas.

[0027] The path planning module is used to generate multiple available movement paths based on the location of the workstation area and the location of the functional area.

[0028] The product monitoring module is used to delineate the production line monitoring area based on the workshop management map and monitor the product flow speed.

[0029] The location tracking module is used to track the location of workers at each workstation. When a worker leaves the workstation area, an alarm is triggered and the product flow speed is adjusted.

[0030] Preferably, the path planning module includes:

[0031] The area identification unit is used to retrieve the workshop management map, identify various functional areas and workstation areas, and delineate the usable movement area.

[0032] The range delineation unit is used to query preset personnel parameters and equipment parameters, and generate the available movement range for personnel and equipment.

[0033] The path generation unit is used to generate multiple available movement paths for each person and device based on their location and the location of the device.

[0034] Preferably, the product monitoring module includes:

[0035] The area division unit is used to delineate the production line monitoring area according to the workshop management map and to build a product database, which contains reference images of each component.

[0036] The image acquisition unit is used to acquire images of the production line monitoring area to obtain product images;

[0037] The speed calculation unit is used to compare the acquired product images with reference images, identify the corresponding accessories, and calculate the product flow speed.

[0038] Preferably, the location tracking module includes:

[0039] The location recognition unit is used to track the location of workers at each workstation and recognize their gestures.

[0040] The condition determination unit is used to determine whether the worker has left the corresponding work area based on the worker's position, and to determine in real time whether the worker's gesture is the same as the preset gesture.

[0041] The early warning and adjustment unit is used to issue an alarm and adjust the product flow speed when a worker leaves the work area and / or when a worker's gesture is the same as a preset gesture.

[0042] This invention provides a smart workshop management method based on the Internet of Things. By dividing the workshop into areas, specific movement paths for each worker can be set in advance, and the location of the workers can be identified. When a worker leaves his post, the product flow speed is actively adjusted to avoid production line downtime and ensure production stability. Attached Figure Description

[0043] Figure 1 A flowchart illustrating an IoT-based smart workshop management method provided in an embodiment of the present invention;

[0044] Figure 2 A flowchart illustrating the steps of generating multiple available movement paths based on the location of the workstation area and the location of the functional area, as provided in an embodiment of the present invention.

[0045] Figure 3 A flowchart of the steps for monitoring product flow speed by delineating the assembly line monitoring area based on a workshop management map, as provided in an embodiment of the present invention;

[0046] Figure 4 A flowchart illustrating the steps of tracking the location of workers at each workstation, issuing an alarm when a worker leaves the workstation area, and adjusting the product flow speed, is provided for an embodiment of the present invention.

[0047] Figure 5 An architecture diagram of an IoT-based smart workshop management system provided for an embodiment of the present invention;

[0048] Figure 6 An architecture diagram of a path planning module provided in an embodiment of the present invention;

[0049] Figure 7 An architecture diagram of a product monitoring module provided in an embodiment of the present invention;

[0050] Figure 8 This is an architecture diagram of a location tracking module provided in an embodiment of the present invention. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0052] It is understood that the terms "first," "second," etc., used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are used only to distinguish one element from another. For example, without departing from the scope of this application, a first script may be referred to as a second script, and similarly, a second script may be referred to as a first script.

[0053] like Figure 1 The diagram shown is a flowchart of a smart workshop management method based on the Internet of Things (IoT) provided in an embodiment of the present invention. The method includes:

[0054] S100, Obtain the workshop management map, which contains multiple functional areas and workstation areas.

[0055] In this step, we obtain the workshop management map, which contains a map of the entire workshop. The workshop management map divides the workstations, assembly line locations, and functional areas, such as toilet areas, drinking water areas, and assembly line areas. Thus, the entire workshop management map is divided into multiple functional areas and workstation areas. Functional areas include toilet areas, drinking water areas, toolbox areas, etc., while workstation areas are the work positions of each worker. Specifically, each work area can be divided according to the worker's work content. For example, assembly includes three processes. The first process has three workers, the second process has two workers, and the third process has three workers. Then there are eight workstation areas, each containing one worker.

[0056] S200 generates multiple available movement paths based on the location of the workstation area and the location of the functional area.

[0057] In this step, multiple available movement paths are generated based on the location of the workstation area and the location of the functional area. Specifically, since the locations of each work area, functional area, and assembly line have been determined, the remaining area is the area where workers can move. Since the workstation areas of each worker have been determined, the path for workers to move to each functional area can be determined based on the remaining area. In the process of determining the path, the shortest path is used as the final available movement path. If there are eight work areas, and the paths from the eight work areas to the same functional area are all different, then eight available movement paths are obtained. When there are two functional areas, there are 16 available movement areas.

[0058] The S300 system delineates the production line monitoring area based on the workshop management map and monitors the product flow speed.

[0059] In this step, the assembly line monitoring area is delineated according to the workshop management map. The assembly line monitoring area is the area where each part flows. Each part will move along the assembly line. During this process, the type and position of each part are identified by image recognition, thereby realizing the counting of part quantity and the calculation of workpiece transmission speed to determine the real-time product flow speed. The faster the product flow speed, the faster the product line.

[0060] The S400 tracks the location of workers at each workstation, issues an alarm when a worker leaves the workstation area, and adjusts the product flow speed accordingly.

[0061] In this step, the location of workers at each workstation is tracked. The boundaries of each work area have been defined, and each worker can only move within their work area. To meet the movement needs of workers, gesture recognition is used to determine their intentions. When a specific gesture is detected, it is determined that the current worker needs to temporarily leave their post. Secondly, if no specific gesture is detected, but the worker leaves their work area, it indicates an abnormal absence from their post. Whether it is temporary absence from the post or abnormal absence from the post, an alarm needs to be issued, and the product flow speed is adjusted according to the number of remaining workers. If a worker leaves their post, the product flow speed is reduced so that the remaining workers can continue to work within their capabilities, without the problem of product accumulation on the production line, and also avoiding direct shutdown.

[0062] like Figure 2 As shown, in a preferred embodiment of the present invention, the step of generating multiple available movement paths based on the location of the workstation area and the location of the functional area specifically includes:

[0063] S201, retrieve the workshop management map, identify the various functional areas and workstation areas, and delineate the available movement areas.

[0064] In this step, the workshop management map is retrieved. The workshop management map has been divided into various functional areas and workstation areas. Specifically, the division can be done by lines of specific colors. For example, red lines are used to divide functional areas and blue lines are used to divide workstation areas. Both functional areas and workstation areas are defined by closed areas. So, excluding the space occupied by functional areas and workstation areas, the remaining part is a usable movable area.

[0065] S202, query the preset personnel parameters and equipment parameters, and generate the available movement range of personnel and equipment.

[0066] In this step, the preset personnel parameters and equipment parameters are queried. The personnel parameters are the width required for personnel to move, and the equipment parameters are the width required for equipment to move. Therefore, based on the personnel parameters and equipment parameters, the range that the personnel and equipment can reach is determined. The above ranges are the available movement range of personnel and the available movement range of equipment, respectively.

[0067] S203, based on the location of each person and the location of each device, generate multiple available movement paths for each person and device.

[0068] In this step, path planning is performed based on the location of each person and the location of the equipment. Specifically, the available movement range of the personnel is gridded to obtain multiple cells, and multiple movement paths are determined in a series. The lengths of the multiple movement paths are compared, and the shortest movement path is selected as the available movement path from the work area to the corresponding functional area. The same method is used to determine the available movement path from the area corresponding to the equipment to the corresponding functional area. When the personnel and equipment move synchronously, it is considered that the equipment is moving.

[0069] like Figure 3 As shown in the preferred embodiment of the present invention, the step of delineating the production line monitoring area according to the workshop management map and monitoring the product flow speed specifically includes:

[0070] S301, the production line monitoring area is delineated according to the workshop management map, and a product database is constructed, which contains reference images of each component.

[0071] In this step, the assembly line monitoring area is defined according to the workshop management map. The assembly line monitoring area is the area where the assembly line is located. The products are continuously transported within the assembly line monitoring area. The workers' work areas are set on both sides of the assembly line. A product database is built. The product database stores images corresponding to different assembly progress of the current product. For example, if the product contains three parts, namely A, B, and C, and their installation order is also A, B, and C, then the product database contains reference images of parts A, B, C, semi-finished products A and B, and finished products A, B, and C.

[0072] S302 acquires images of the production line monitoring area to obtain product images.

[0073] In this step, images are acquired from the monitoring area of ​​the production line. Specifically, images are acquired at specific time intervals, such as once every 100ms, to obtain multiple sets of product images. The location of the product can be determined based on the product images.

[0074] S303 compares the acquired product image with the reference image, identifies the corresponding accessories, and calculates the product flow speed.

[0075] In this step, the acquired product images are compared with reference images. By comparing the images, the reference image that matches each product image can be determined, thus achieving the purpose of identifying parts and counting the number of parts. Finally, the assembly speed and flow rate of the product are calculated based on the count of parts.

[0076] like Figure 4 As shown, in a preferred embodiment of the present invention, the step of tracking the location of workers at each workstation, issuing an alarm and adjusting the product flow speed when a worker leaves the workstation area specifically includes:

[0077] S401 tracks the location of workers at each workstation and recognizes their gestures.

[0078] In this step, the location of the staff at each workstation is tracked. Specifically, the staff in each work area are identified to determine their movement position in order to achieve location tracking. This can be achieved by setting up a camera above the work area and shooting downwards to achieve the purpose of location recognition. In addition, the staff's gestures are recognized in real time, such as both hands being stretched forward in parallel and kept horizontal.

[0079] S402 determines whether a worker has left their designated work area based on their location and checks in real time whether the worker's gestures match preset gestures.

[0080] S403, when an employee leaves the workstation area and / or the employee's gesture is the same as a preset gesture, an alarm is triggered and the product flow speed is adjusted.

[0081] In this step, the location of the workers determines whether they have left their corresponding workstation area. When a worker leaves the work area, the flow speed of the products needs to be slowed down. For example, if there are three workers in the same process at the beginning, when one of the workers leaves his post or makes a specific gesture, the flow speed of the products is reduced to two-thirds.

[0082] like Figure 5 As shown in the figure, an IoT-based smart workshop management system is provided according to an embodiment of the present invention. The system includes:

[0083] The map acquisition module 100 is used to acquire a workshop management map, which includes multiple functional areas and workstation areas.

[0084] In this system, the map acquisition module 100 acquires the workshop management map, which contains a map of the entire workshop. The workshop management map divides each workstation, assembly line location, and functional area, such as toilet area, drinking water area, and assembly line area. Thus, the entire workshop management map is divided into multiple functional areas and workstation areas. Functional areas include toilet area, drinking water area, toolbox area, etc., while workstation areas are the work positions of each worker. Specifically, each work area can be divided according to the work content of the workers. For example, assembly includes three processes. The first process has three workers, the second process has two workers, and the third process has three workers. Then there are eight workstation areas, each containing one worker.

[0085] The path planning module 200 is used to generate multiple available movement paths based on the location of the workstation area and the location of the functional area.

[0086] In this system, the path planning module 200 generates multiple available movement paths based on the location of the workstation area and the location of the functional area. Specifically, since the locations of each work area, functional area, and assembly line have been determined, the remaining area is the area where workers can move. Since the workstation areas of each worker have been determined, the path for workers to move to each functional area can be determined based on the remaining area. In the process of determining the path, the shortest path is used as the final available movement path. If there are eight work areas, and the paths from the eight work areas to the same functional area are all different, then eight available movement paths are obtained. When there are two functional areas, there are 16 available movement areas.

[0087] The product monitoring module 300 is used to delineate the production line monitoring area based on the workshop management map and monitor the product flow speed.

[0088] In this system, the product monitoring module 300 delineates the production line monitoring area based on the workshop management map. The production line monitoring area is the area where each part flows. Each part will move along the production line. During this process, the type and position of each part are identified through image recognition, thereby realizing the counting of part quantity and the calculation of workpiece transmission speed to determine the real-time product flow speed. The faster the product flow speed, the faster the product line.

[0089] The location tracking module 400 is used to track the location of workers at each workstation. When a worker leaves the workstation area, an alarm is issued and the product flow speed is adjusted.

[0090] In this system, the location tracking module 400 tracks the location of workers at each workstation. The scope of each work area has been defined, and each worker can only move within the work area. To meet the movement needs of workers, gesture recognition is used to determine the worker's intention. When a specific gesture is detected, it is determined that the current worker needs to temporarily leave their post. Secondly, if no specific gesture is detected, but the worker leaves their work area, it indicates an abnormal absence from post. Whether it is temporary absence from post or abnormal absence from post, an alarm needs to be issued, and the product flow speed is adjusted according to the number of remaining workers. If a worker leaves their post, the product flow speed is reduced so that the remaining workers can continue to work within their capabilities, without the problem of product accumulation on the production line, and also avoiding direct shutdown.

[0091] like Figure 6 As shown, in a preferred embodiment of the present invention, the path planning module 200 includes:

[0092] The area identification unit 201 is used to retrieve the workshop management map, identify each functional area and workstation area, and delineate the available mobile area.

[0093] In this module, the area identification unit 201 retrieves the workshop management map, which has been divided into various functional areas and workstation areas. Specifically, these areas can be divided using lines of specific colors, such as red lines for functional areas and blue lines for workstation areas. Both functional areas and workstation areas are defined by closed areas. Therefore, excluding the space occupied by the functional areas and workstation areas, the remaining space is a usable movable area.

[0094] The range delineation unit 202 is used to query preset personnel parameters and equipment parameters, and generate the available movement range of personnel and the available movement range of equipment.

[0095] In this module, the range delineation unit 202 queries the preset personnel parameters and equipment parameters. The personnel parameters are the width required for personnel to move, and the equipment parameters are the width required for equipment to move. Therefore, based on the personnel parameters and equipment parameters, the range that the personnel and equipment can reach is determined. The above ranges are the available movement range of personnel and the available movement range of equipment, respectively.

[0096] The path generation unit 203 is used to generate multiple available movement paths for each person and device based on the location of each person and the location of each device.

[0097] In this module, the path generation unit 203 performs path planning based on the positions of each person and the equipment. Specifically, the available movement range of the person is gridded to obtain multiple cells, and multiple movement paths are determined in a series. The lengths of the multiple movement paths are compared, and the shortest movement path is selected as the available movement path from the work area to the corresponding functional area. The available movement path from the area corresponding to the equipment to the corresponding functional area is determined in the same way. When the person and the equipment move synchronously, it is considered that the equipment is moving.

[0098] like Figure 7 As shown, in a preferred embodiment of the present invention, the product monitoring module 300 includes:

[0099] The area division unit 301 is used to delineate the production line monitoring area according to the workshop management map and build a product database, which contains reference images of each component.

[0100] In this module, the area division unit 301 delineates the assembly line monitoring area according to the workshop management map. The assembly line monitoring area is the area where the assembly line is located. Products are continuously transported within the assembly line monitoring area along the assembly line. The workers' work areas are set on both sides of the assembly line. A product database is constructed, which stores images corresponding to different assembly progress of the current product. For example, if a product contains three parts, namely A, B, and C, and their installation order is also A, B, and C, then the product database contains reference images of parts A, B, C, semi-finished products A and B, and finished products A, B, and C.

[0101] The image acquisition unit 302 is used to acquire images of the production line monitoring area to obtain product images.

[0102] In this module, the image acquisition unit 302 acquires images of the production line monitoring area. Specifically, it acquires images at specific time intervals, such as once every 100ms, thereby obtaining multiple sets of product images. The location of the product can be determined based on the product images.

[0103] The speed calculation unit 303 is used to compare the acquired product image with the reference image, identify the corresponding accessories, and calculate the product flow speed.

[0104] In this module, the speed calculation unit 303 compares the acquired product images with reference images. By comparing the images, the reference images that match each product image can be determined, thus achieving the purpose of identifying parts and counting the number of parts. Finally, the assembly speed and flow rate of the product are calculated based on the count of parts.

[0105] like Figure 8As shown, in a preferred embodiment of the present invention, the position tracking module 400 includes:

[0106] The position recognition unit 401 is used to track the position of workers at each workstation and recognize their gestures.

[0107] In this module, the position recognition unit 401 tracks the position of the staff at each workstation. Specifically, it identifies the staff in each work area to determine their movement position in order to achieve position tracking. This can be achieved by setting up a camera above the work area and shooting downwards. The unit also recognizes the staff's gestures in real time, such as both hands being stretched forward in parallel and kept horizontal.

[0108] The condition determination unit 402 is used to determine whether the worker has left the corresponding work area based on the worker's position, and to determine in real time whether the worker's gesture is the same as the preset gesture.

[0109] The early warning adjustment unit 403 is used to issue an alarm and adjust the product flow speed when the worker leaves the work area and / or the worker's gesture is the same as the preset gesture.

[0110] In this module, the system determines whether a worker has left their assigned work area based on their location. When a worker leaves the work area, the product flow speed needs to be slowed down. For example, if three workers are involved in the same process at the beginning, the product flow speed will be reduced to two-thirds when one of them leaves their post or makes a specific gesture.

[0111] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0112] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0113] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0114] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0115] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart workshop management method based on Internet of Things, characterized in that, The method comprises: acquiring a workshop management map, wherein a plurality of functional areas and workstation areas are arranged in the workshop management map; generating a plurality of available movement paths according to the positions of the workstation areas and the positions of the functional areas; delimiting a pipeline monitoring area according to the workshop management map, and monitoring a product flow speed; tracking the positions of workers at each workstation, and issuing an alarm and adjusting the product flow speed when the workers leave the workstation areas; the step of delimiting the pipeline monitoring area according to the workshop management map and monitoring the product flow speed specifically comprises: delimiting the pipeline monitoring area according to the workshop management map, and constructing a product database, wherein the product database contains reference images of each accessory; acquiring images of the pipeline monitoring area to obtain product images; comparing the acquired product images with the reference images to identify corresponding accessories, and calculating the product flow speed. 2.The IoT-based smart plant management method according to claim 1, wherein, the step of generating a plurality of available movement paths according to the positions of the workstation areas and the positions of the functional areas specifically comprises: calling the workshop management map, identifying each functional area and workstation area therein, and delimiting available movement areas; inquiring preset personnel parameters and equipment parameters to generate available movement ranges of personnel and equipment; generating a plurality of available movement paths for each piece of personnel and equipment according to the positions of the personnel and the positions of the equipment. 3.The IoT-based smart plant management method according to claim 1, wherein, the step of tracking the positions of workers at each workstation, issuing an alarm and adjusting the product flow speed when the workers leave the workstation areas specifically comprises: tracking the positions of workers at each workstation, and identifying gestures of the workers; determining whether the workers leave corresponding workstation areas according to the positions of the workers, and determining in real time whether the gestures of the workers are the same as preset gestures; issuing an alarm and adjusting the product flow speed when the workers leave the workstation areas and / or the gestures of the workers are the same as the preset gestures. 4.The IoT-based smart plant management method according to claim 1, wherein, In the step of acquiring images of the pipeline monitoring area, images are acquired at preset time intervals. 5.The IoT-based smart plant management method according to claim 1, wherein, When adjusting the product flow speed, the product flow speed is adjusted according to the number of remaining workers.

6. An Internet of Things-based smart workshop management system, characterized in that, The system comprises: a map acquisition module for acquiring a workshop management map, wherein a plurality of functional areas and workstation areas are arranged in the workshop management map; a path planning module for generating a plurality of available movement paths according to the positions of the workstation areas and the positions of the functional areas; a product monitoring module for delimiting a pipeline monitoring area according to the workshop management map, and monitoring a product flow speed; a position tracking module for tracking the positions of workers at each workstation, and issuing an alarm and adjusting the product flow speed when the workers leave the workstation areas; the product monitoring module comprises: an area delimiting unit for delimiting the pipeline monitoring area according to the workshop management map, and constructing a product database, wherein the product database contains reference images of each accessory; an image acquisition unit for acquiring images of the pipeline monitoring area to obtain product images; A speed calculation unit is configured to compare the acquired product image with a reference image, identify a corresponding accessory, and calculate a product flow speed. 7.The IoT-based smart plant management system according to claim 6, wherein, The path planning module comprises: A region identification unit is configured to call a workshop management map, identify various functional regions and workstation regions, and demarcate available movement regions. A range demarcation unit is configured to query preset personnel parameters and equipment parameters, and generate personnel available movement ranges and equipment available movement ranges. A path generation unit is configured to generate a plurality of available movement paths for each personnel and equipment according to the positions of the personnel and the equipment. 8.The IoT-based smart plant management system according to claim 6, wherein, The position tracking module comprises: A position identification unit is configured to track the positions of the workers at various workstations, and identify the gestures of the workers. A condition determination unit is configured to determine whether the workers have left the corresponding workstation regions according to the positions of the workers, and determine whether the gestures of the workers are the same as preset gestures in real time. A warning adjustment unit is configured to issue a warning when the workers have left the workstation regions and / or the gestures of the workers are the same as the preset gestures, and adjust the product flow speed.

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