Hoisting management and control system and method for discrete manufacturing workshop

Abstract

The invention relates to the technical field of business management and control, in particular to a hoisting management and control system and method for a discrete manufacturing workshop, and the system comprises a crown block order system which is used for proposing order demands, implementing order auditing, and synchronizing order configuration and progress information; the UWB positioning system is used for collecting and uploading position information of materials, workers and the like in real time; the crown block visualization system is used for collecting, uploading and calling crown block operation site video information in real time; and the task execution management and control system is used for receiving and storing the crown block visual data, the UWB positioning data and the crown block order data in real time, and carrying out order task configuration, order completion progress monitoring and hoisting work order related action track generation according to the related data. According to the system, data of all the systems are communicated, integrated and fused, a hoisting work order and production data are bound, transparent visualization of hoisting operation resource data is achieved, a resource dispatcher can conveniently and efficiently dispatch resources, and the requirements for safe traceability in the large piece hoisting process and accurate and transparent production data are met.

Description

Technical Field

[0001] The present invention relates to the technical field of business control, and in particular to a lifting control system and method for a discrete manufacturing workshop. Background Art

[0002] Large-scale energy equipment manufacturing is a typical discrete manufacturing industry. Usually, there are multiple key processes in a workshop, such as machining, welding, and assembly. Moreover, the parts are huge in size and complex in shape, and the transfer between processes is highly dependent on the overhead crane. Therefore, the overhead crane is the bottleneck resource of workshop production. Whether its scheduling is reasonable and efficient directly affects the production efficiency of the entire workshop. The demand for large-scale lifting operations is large and the safety risks are high, which directly affects the production efficiency. Therefore, the lifting operations of large-scale overhead cranes require refined management and control.

[0003] When the overhead crane performs key operations such as lifting, turning over, and transporting large items, it mainly relies on the operator to manually submit a lifting demand application. The overhead crane dispatcher mainly estimates the expected completion time based on the required completion time and lifting level of the application work order, so as to arrange the execution plan of the lifting work order and assign the lifting service team. After the work order is completed, the dispatcher manually fills in the actual start time and actual completion time of each work order to calculate the actual working hours of each work order. The existing technical solutions mainly have the following problems: 1) The manufacturing resource data of the lifting operation is not transparent, including the lifting personnel information, overhead crane information, lifting safety information, operation time information, etc. bound to each work order, which cannot provide effective data reference for production scheduling, and thus cannot efficiently schedule production resources; 2) The working hours are manually input, which usually deviate greatly from the actual working hours and cannot be corrected. Inaccurate basic data leads to weak coordination and connection between processes, and the workshop cannot provide executable production schedules; 3) The monitoring of the lifting process relies on manual on-site witnessing and lacks process data monitoring records. In particular, high-level critical lifting cannot be traced, cannot be remotely witnessed by the owner, and cannot provide process guidance videos; 4) During the lifting process, the ground assistants, commanding personnel and high-altitude lifting operators mainly communicate through whistles, which is inefficient and unsafe. Summary of the invention

[0004] The purpose of the present invention is to propose a lifting control system and method for a discrete manufacturing workshop in response to the shortcomings of the prior art, so as to meet the needs of safe traceability of the lifting process of large items and accurate and transparent production data. By binding the lifting work order with the production resources, intelligent reporting and data correction are performed on each work order based on the lifting trajectory and video data analysis, and the whole process monitoring of the lifting operation is visualized, so as to realize the refined control of the lifting of large items in the discrete manufacturing workshop environment.

[0005] This is achieved specifically through the following technical solutions: A lifting control system for a discrete manufacturing workshop, characterized in that it includes: an overhead crane order system, a UWB positioning system, an overhead crane visualization system and a task execution control system; The overhead crane order system is connected to the task execution management and control system for making order requirements, implementing order review, and synchronizing order execution configuration information and order completion progress information; The UWB positioning system is connected to the task execution management and control system, including a positioning base station system and a number of positioning tags respectively bound to materials, tools and staff, for real-time collection and uploading of location information of materials, tools and staff; The overhead crane visualization system is in communication connection with the task execution control system, and includes a multi-directional video acquisition system and a number of overhead crane visualization terminals, which are used to collect, upload and retrieve video information of the overhead crane operation site in real time; The task execution management and control system includes a system for receiving and storing overhead crane visualization data, UWB positioning data and overhead crane order data in real time, configuring order tasks in combination with the overhead crane order data and UWB positioning data, monitoring the progress of order completion based on the overhead crane visualization data and UWB positioning data, and generating movement trajectories of tools, materials and staff based on the UWB positioning data.

[0006] Preferably, the positioning base station system includes a plurality of base station bodies arranged at intervals inside a discrete manufacturing workshop.

[0007] Preferably, the UWB positioning system further includes a plurality of electronic fences, which are arranged inside the discrete manufacturing workshop and are used to divide the discrete manufacturing workshop into areas.

[0008] Preferably, the multi-directional video acquisition system includes several smart helmets; the smart helmet includes a helmet body, on which a camera, a power supply unit, a wireless communication device, a GPS signal transceiver, a voice transceiver and a microcontroller are embedded; the camera, the wireless communication device, the voice transceiver and the GPS signal transceiver are respectively communicated with the microcontroller, and the camera, the wireless communication device, the voice transceiver, the GPS signal transceiver and the microcontroller are respectively electrically connected to the power supply unit.

[0009] Preferably, a gravity acceleration sensor is also embedded on the cap body of the smart helmet, and the gravity acceleration sensor is communicatively connected with the microcontroller.

[0010] Preferably, an infrared sensor is also embedded on the cap body of the smart helmet, and the infrared sensor is communicatively connected with the microcontroller.

[0011] Based on the above-mentioned lifting control system of a discrete manufacturing workshop, the present technical solution discloses a lifting control method of a discrete manufacturing workshop, including proposing lifting requirements, allocating lifting resources and executing lifting tasks.

[0012] The raising of lifting requirements comprises the following steps: S11, the lifting demand personnel create a lifting work order through the overhead crane order system; S12, filling in or modifying order information on the lifting work order; wherein the order information includes information of the creator, name and type of the lifting object, work number of the lifting object, lifting grade and weight, lifting operation area and type, description of lifting start and end points, and estimated lifting time; S13, after confirming that the order information is correct, save and submit the lifting work order.

[0013] The lifting resource configuration comprises the following steps: S21, the resource dispatcher reviews the order information in the lifting work order in the crane order system; if the review fails, the lifting work order is returned after marking the reason for failure, and the crane demand personnel are notified to modify the order information in the lifting work order accordingly; if the review passes, the lifting work order is stored in the crane order database of the task execution control system, and the task execution time is arranged according to the order information of the lifting work order, and then step S22 is entered according to the task execution time; S22, the resource dispatcher configures the order task according to the crane order data and UWB positioning data through the task execution control system, and synchronizes the order task configuration result to the crane order system; wherein the order task configuration includes allocating and binding the crane resources, task commander, material resources and tool resources, and the material resources and tool resources are equipped with positioning tags; S23, the task commander checks the lifting work order through the task execution control system and verifies the order task configuration; if the verification is incorrect, it will be reported to the resource dispatcher for modification; if the verification is correct, personnel resources will be configured according to the order information of the lifting work order, and the personnel resource configuration results will be synchronized to the overhead crane order system; among them, personnel resource configuration includes the allocation of overhead crane operators and ground assistants.

[0014] The lifting task execution comprises the following steps: S31, the mission commander, overhead crane operator and ground assistant are equipped with smart helmets and wear positioning tags; S32, the mission commander, the crane operator and the ground assistant collaboratively complete the lifting task corresponding to the lifting work order based on the lifting control system; S33, the mission commander confirms the completion of the lifting mission through the mission execution management and control system, and synchronizes the completion information to the overhead crane order system.

[0015] Preferably, in step S32 of the execution of the lifting task, in the process of completing the lifting task corresponding to the lifting work order, the UWB positioning system transmits in real time UWB positioning data collected based on the positioning tags, including staff location information, material location information, and tool location information; the task execution management and control system generates the motion trajectory of the lifting task corresponding to the lifting work order based on the UWB positioning data and the positioning engine algorithm.

[0016] Preferably, in step S32 of the lifting task execution, in the process of completing the lifting task corresponding to the lifting work order, the overhead crane operator and the assistant collect and upload the video information of the working area through the smart safety helmet of the overhead crane visualization system; the task commander, the overhead crane operator and the assistant retrieve the video information of each working area through the overhead crane visualization terminal respectively, and conduct remote visualization interaction with the voice transceiver of the smart safety helmet.

[0017] Beneficial technical effects brought by the present invention: 1) The technical solution discloses a lifting control system and method for a discrete manufacturing workshop. By connecting and integrating the data of the overhead crane order system, UWB positioning system, overhead crane visualization system and task execution control system, the lifting work order is bound one by one with the production data such as the actual execution staff information, overhead crane information, lifting safety information, operation time information, etc., to achieve transparent visualization of the lifting operation resource data, facilitate the production scheduling personnel to efficiently schedule resources, and meet the requirements of safe traceability of the large-scale lifting process and accurate and transparent production data. By binding the lifting work order with the production resources, intelligent reporting and data correction are performed for each work order based on the lifting trajectory and video data analysis, and the full process monitoring of the lifting operation is visualized, so as to achieve refined control of large-scale lifting in a discrete manufacturing workshop environment. 2) This technical solution is based on the UWB precise positioning engine algorithm, integrated with the lifting control system, with lifting orders as the main line, combined with the lifting operation specification algorithm and intelligent data analysis, to obtain the actual working hours of each lifting work order, realize automatic reporting of large-scale lifting, and provide accurate basic data for workshop production planning and scheduling.

[0018] 3) This technical solution is based on a smart safety helmet and uses high-definition, low-latency audio and video for visual interaction with the overhead crane, which greatly improves the efficiency and quality of interaction between the overhead crane driver and the ground lifting personnel, and meets the needs of safety monitoring and key quality traceability throughout the entire process of large-scale lifting. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the composition framework of a lifting control system for a discrete manufacturing workshop; Figure 2 It is a structural schematic diagram of a smart helmet; Figure 3The present invention is a flowchart for implementing a lifting control method in a discrete manufacturing workshop.

[0020] In the figure: 1. Cap body; 2. Camera; 3. Infrared sensor; 4. Wireless communication device; 5. GPS signal transceiver; 6. Voice transceiver; 7. Gravity acceleration sensor. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments.

[0022] Therefore, the following detailed description of the invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Example 1 This embodiment discloses a lifting control system for a discrete manufacturing workshop, which is a preferred implementation scheme of the present invention and includes an overhead crane order system, a UWB positioning system, an overhead crane visualization system and a task execution control system.

[0024] The crane order system is connected to the task execution control system for the purpose of proposing order requirements, implementing order review, and synchronizing order execution configuration information and order completion progress information. Among them, the order requirement is proposed by the lifting demand personnel. The implementation of order review is mainly completed by the resource dispatcher, who mainly reviews whether the lifting demand personnel fills in the order information as required. The order execution configuration information includes the allocated crane resources, task commanders, material resources, tool resources, crane operators, and ground assistants.

[0025] The UWB positioning system is connected to the task execution control system, including a positioning base station system and several positioning tags (UWB positioning tags) bound to materials, tools and staff, which are used to collect and upload the location information of materials, tools and staff in real time. Among them, the base station system includes several UWB positioning base stations and electronic fences. All UWB positioning base stations and electronic fences are distributed and installed inside the discrete manufacturing workshop, so that the positioning range of the UWB positioning system basically covers the entire discrete manufacturing workshop. The UWB positioning system detects the position of the positioning tag through the base station body, thereby realizing the real-time positioning of materials, tools and staff.

[0026] The crane visualization system is connected to the task execution control system, including a multi-directional video acquisition system and several crane visualization terminals, which are used to collect, upload and retrieve the crane operation site video information in real time.

[0027] The task execution control system includes a system for receiving and storing the crane visualization data, UWB positioning data and crane order data in real time. The crane order data and UWB positioning data are combined to configure the order task, that is, the task execution control system obtains the materials, tools and staff that are not currently involved in the lifting task based on the UWB positioning data, and allocates the corresponding resources from these materials, tools and staff to configure the corresponding order task. The progress of order completion is monitored based on the crane visualization data and UWB positioning data, and the movement trajectory of tools, materials and staff is generated based on the UWB positioning data.

[0028] In this way, the lifting resources located by the indoor high-precision UWB positioning system correspond to the motion trajectory of each lifting work order, and the data comes from the UWB positioning system. Lifting resources include lifting workers, lifting cranes, and lifting materials. Through the combination of UWB tag binding and positioning engine algorithms, the precise positioning and historical trajectory of the positioning objects on the two-dimensional real workshop map are obtained, and the starting and ending points or operation areas of the lifting requirements are marked on the map.

[0029] Example 2 The present embodiment discloses a lifting control system for a discrete manufacturing workshop, as a preferred implementation scheme of the present invention, that is, based on Example 1, its multi-directional video acquisition system includes several smart safety helmets; the smart safety helmet includes a helmet body 1, on which a camera 2, a power supply unit, a wireless communication device 4, a GPS signal transceiver 5, a voice transceiver 6 and a microcontroller are embedded; the camera 2, the wireless communication device 4, the voice transceiver 6 and the GPS signal transceiver 5 are respectively communicated with the microcontroller, and the camera 2, the wireless communication device 4, the voice transceiver 6, the GPS signal transceiver 5 and the microcontroller are respectively electrically connected to the power supply unit.

[0030] Based on the above-mentioned smart helmet structure, according to the configuration of lifting resources, each worker wears a smart helmet, and some or all workers can be equipped with a crane visualization terminal. In this way, workers can use the camera 2 on the helmet to collect and upload video images of their work area in real time, and can view the video impact outside their work area in real time through the crane visualization terminal. Combined with the voice transceiver 6 on the smart helmet, all workers can conduct remote visualization interaction.

[0031] This technical solution transmits the visual interactive voice and video of the overhead crane based on the smart safety helmet to the remote lifting dispatch computer terminal, and at the same time monitors the execution status of the lifting crane and the staff as well as the execution of the lifting work order, to achieve comprehensive data monitoring of the lifting process, which is convenient for arranging subsequent lifting plans for the lifting work order to be executed.

[0032] Example 3 This embodiment discloses a lifting control system for a discrete manufacturing workshop, as a preferred implementation scheme of the present invention, that is, based on Embodiment 1 or 2, a gravity acceleration sensor 7 and an infrared sensor 3 are embedded on the cap body 1 of the smart helmet, and the gravity acceleration sensor 7 and the infrared sensor 3 are communicatively connected with the microcontroller. In this way, the gravity acceleration sensor 7 and the infrared sensor 3 can be used to monitor abnormal weightlessness and wearing status.

[0033] Example 4 This embodiment discloses a lifting control system for a discrete manufacturing workshop. As a preferred implementation scheme of the present invention, based on Embodiment 1, 2 or 3, a lifting work order binding unit is provided in its task execution control system, which is used to take the lifting work order as the main line, and bind the workers and the smart safety helmets they wear, the lifting crane and its UWB positioning tags, the materials and their UWB positioning tags and other related resources to the lifting work order one by one, so as to realize the data association and transparent display of the lifting operation resources.

[0034] This technical solution enables the large-scale lifting control system to obtain comprehensive information on executed orders, including actual execution time of the work order, audio and video of the lifting process, material transfer trajectory, etc., through the binding of lifting work orders, automatic reporting of work through intelligent data analysis, and visualization of lifting operation monitoring. The lifting data such as the execution status of the lifting crane and staff, and the work order execution status are transmitted to the lifting control system, which facilitates the rational and efficient scheduling of production resources and improves workshop production efficiency.

[0035] Example 4 This embodiment discloses a lifting control method for a discrete manufacturing workshop. As a preferred implementation scheme of the present invention, a lifting control system for a discrete manufacturing workshop disclosed in Example 1, 2 or 3 is adopted, including proposing lifting requirements, allocating lifting resources and executing lifting tasks.

[0036] The following steps are involved in making a lifting request: S11, the person who needs lifting creates a lifting work order through the overhead crane order system.

[0037] S12, fill in or modify the order information on the lifting work order; wherein the order information includes the information of the creator, the name and type of the lifting object, the work number of the lifting object, the lifting grade and weight, the lifting operation area and type, the lifting start and end point description and the estimated lifting time, etc.

[0038] S13, after confirming that the order information is correct, save and submit the lifting work order.

[0039] The lifting resource configuration comprises the following steps: S21, the resource dispatcher reviews the order information in the lifting work order in the crane order system. If the review fails, the lifting work order will be returned after marking the reason for failure, and the crane demand personnel will be notified to modify the order information in the lifting work order accordingly. If the review passes, the lifting work order will be stored in the crane order database of the task execution management and control system, and after arranging the task execution time according to the order information of the lifting work order, it will be marked as a lifting work order to be executed, and enter step S22 according to the task execution time.

[0040] S22, the resource dispatcher configures the order task according to the crane order data and UWB positioning data through the task execution management and control system, and synchronizes the order task configuration result to the crane order system; wherein, the order task configuration includes allocating and binding the crane resources, task commanders, material resources and tool resources, and the material resources and tool resources are equipped with positioning tags.

[0041] S23, the task commander checks the lifting work order through the task execution control system and verifies the order task configuration; if the verification is incorrect, it will be reported to the resource dispatcher for modification; if the verification is correct, personnel resources will be configured according to the order information of the lifting work order, and the personnel resource configuration results will be synchronized to the overhead crane order system; among them, personnel resource configuration includes the allocation of overhead crane operators and ground assistants.

[0042] The lifting task execution comprises the following steps: S31, the mission commander, overhead crane operator and ground assistant are each equipped with a smart helmet and wear a positioning tag.

[0043] S32, the mission commander, overhead crane operator and ground assistant collaborate to complete the lifting task corresponding to the lifting work order based on the lifting control system.

[0044] S33, the mission commander confirms the completion of the lifting mission through the mission execution management and control system, and synchronizes the completion information to the overhead crane order system.

[0045] Example 5 This embodiment discloses a lifting control method for a discrete manufacturing workshop, which is a preferred implementation scheme of the present invention, that is, based on Example 4, in step S32 of the lifting task execution, in the process of completing the lifting task corresponding to the lifting work order, the UWB positioning system transmits back in real time the UWB positioning data including the staff location information, material location information, and tool location information collected based on the positioning tag; the task execution control system generates the motion trajectory of the lifting task corresponding to the lifting work order based on the UWB positioning data and the positioning engine algorithm.

[0046] This technical solution is based on the indoor high-precision positioning UWB lifting resources corresponding to the motion trajectory of each lifting work order, and the data comes from the UWB positioning system. The lifting resources include crane operators, lifting cranes, and lifting materials. Through UWB tag binding and positioning engine algorithms, the precise positioning and historical trajectory of the positioning objects on the two-dimensional real workshop map are obtained, and the starting and ending points or operation areas of the lifting requirements are marked on the map.

[0047] To summarize, this technical solution can realize intelligent reporting of work orders. Specifically: based on the UWB precise positioning engine algorithm, a virtual two-dimensional map of the real discrete manufacturing workshop is established, and the historical trajectory of resources such as the lifting crane, staff and materials corresponding to each lifting work order is calculated. The actual start time of the lifting is when the lifting crane and the staff arrive at the starting point or the operating area of ​​the lifting demand at the same time; the actual end time of the lifting is when the material arrives at the end point of the demand or the operating area, and the crane leaves the end point of the demand or the operating area at the same time; the actual working hours of each lifting work order are obtained by combining the lifting operation specification algorithm and intelligent data analysis, so as to realize automatic reporting of large-scale lifting.

[0048] Example 6 The present embodiment discloses a lifting control method for a discrete manufacturing workshop, which is a preferred implementation scheme of the present invention, that is, based on Example 4 or 5, in step S32 of the lifting task execution, in the process of completing the lifting task corresponding to the lifting work order, the overhead crane operator and the assistant collect and upload the video information of the working area through the smart safety helmet of the overhead crane visualization system; the task commander, the overhead crane operator and the assistant retrieve the video information of each working area through the overhead crane visualization terminal respectively, and cooperate with the voice transceiver 6 of the smart safety helmet to perform remote visualization interaction in a noisy workshop environment.

[0049] Example 7 This embodiment discloses a method for hoisting control in a discrete manufacturing workshop, which, as a preferred implementation scheme of the present invention, comprises the following steps: Step 1: The person who requires lifting submits a lifting request application through the overhead crane order system and fills in the order details. After the process is approved, it is converted into a lifting work order to be executed and synchronized to the overhead crane order database of the task execution management and control system.

[0050] Step 2: After being assigned by the resource dispatcher, the task commander, overhead crane operator and ground assistant receive the lifting work order, wear smart safety helmets with UWB positioning tags, bind the lifting crane and materials corresponding to the lifting work order in the task execution management and control system, and affix the corresponding UWB positioning tags.

[0051] Step three: After the lifting crane, staff (including task commander, crane operator and ground assistant) and materials to be transferred are ready, they enter the lifting starting point or starting area; after the UWB positioning system recognizes and records, it is synchronized to the task execution control system to automatically complete the work report and record the actual start time of the work order.

[0052] Step 4: The mission commander, overhead crane operator and ground assistant simultaneously start video monitoring and voice calls to begin the lifting operation.

[0053] Step 5: During the operation, the system automatically records voice, video and transfer trajectory data.

[0054] Step six: After the lifting is completed, end the video monitoring and voice call of the staff's work, remove the UWB positioning tag of the material, and use the arrival of the material at the required end point or work area and the departure of the overhead crane from the required end point or work area as the actual end time of the lifting. The UWB positioning system calculates the actual working hours of the lifting work order, and simultaneously completes the automatic reporting to the task execution management and control system, recording the actual completion time of the work order.

[0055] Step 7: Through intelligent analysis of trajectory and video data, the execution status of the lifting crane equipment, staff and lifting work orders is obtained, the lifting monitoring is visualized on the remote dispatch terminal, and the lifting work order execution data is synchronized to the task execution management and control system to arrange the next lifting plan.

Claims

1. A lifting control system for a discrete manufacturing workshop, characterized in that: include: Overhead crane order system, UWB positioning system, overhead crane visualization system and mission execution control system; The overhead crane order system is connected to the task execution management and control system for making order requirements, implementing order review, and synchronizing order execution configuration information and order completion progress information; The UWB positioning system is connected to the task execution management and control system, including a base station system and a number of positioning tags respectively bound to materials, tools and workers, for real-time collection and uploading of location information of materials, tools and workers; The overhead crane visualization system is in communication connection with the task execution control system, and includes a multi-directional video acquisition system and a number of overhead crane visualization terminals, which are used to collect, upload and retrieve video information of the overhead crane operation site in real time; The task execution management and control system includes a system for receiving and storing overhead crane visualization data, UWB positioning data and overhead crane order data in real time, configuring order tasks in combination with the overhead crane order data and UWB positioning data, monitoring the progress of order completion based on the overhead crane visualization data and UWB positioning data, and generating movement trajectories of tools, materials and staff based on the UWB positioning data.

2. A lifting control system for a discrete manufacturing workshop as claimed in claim 1, characterized in that: The base station system includes several UWB positioning base stations and electronic fences, and all the UWB positioning base stations and electronic fences are distributed and installed inside the discrete manufacturing workshop.

3. A lifting control system for a discrete manufacturing workshop as claimed in claim 1, characterized in that: The multi-directional video acquisition system comprises a plurality of intelligent helmets; the intelligent helmets comprise a helmet body (1), the helmet body (1) being embedded with a camera (2), a power supply unit, a wireless communication device (4), a GPS signal transceiver (5), a voice transceiver (6) and a microcontroller; the camera (2), the wireless communication device (4), the voice transceiver (6) and the GPS signal transceiver (5) are respectively connected to the microcontroller for communication, and the camera (2), the wireless communication device (4), the voice transceiver (6), the GPS signal transceiver (5) and the microcontroller are respectively electrically connected to the power supply unit.

4. A lifting control system for a discrete manufacturing workshop as claimed in claim 3, characterized in that: A gravity acceleration sensor (7) is also embedded on the cap body (1) of the smart safety cap, and the gravity acceleration sensor (7) is communicatively connected to the microcontroller.

5. A lifting control system for a discrete manufacturing workshop as claimed in claim 3, characterized in that: An infrared sensor (3) is also embedded on the cap body (1) of the smart safety cap, and the infrared sensor (3) is communicatively connected with the microcontroller.

6. A method for hoisting control in a discrete manufacturing workshop, characterized in that: A lifting control system for a discrete manufacturing workshop as described in any one of claims 1 to 7 is adopted, including raising lifting requirements, allocating lifting resources and executing lifting tasks; The raising of lifting requirements comprises the following steps: S11, the lifting demand personnel create a lifting work order through the overhead crane order system; S12, filling in or modifying order information on the lifting work order; wherein the order information includes information of the creator, name and type of the lifting object, work number of the lifting object, lifting grade and weight, lifting operation area and type, description of lifting start and end points, and estimated lifting time; S13, after confirming that the order information is correct, save and submit the lifting work order; The lifting resource configuration comprises the following steps: S21, the resource dispatcher reviews the order information in the lifting work order in the crane order system; if the review fails, the lifting work order is returned after marking the reason for failure, and the crane demand personnel are notified to modify the order information in the lifting work order accordingly; if the review passes, the lifting work order is stored in the crane order database of the task execution control system, and the task execution time is arranged according to the order information of the lifting work order, and then step S22 is entered according to the task execution time; S22, the resource dispatcher configures the order task according to the crane order data and UWB positioning data through the task execution control system, and synchronizes the order task configuration result to the crane order system; wherein the order task configuration includes allocating and binding the crane resources, task commander, material resources and tool resources, and the material resources and tool resources are equipped with positioning tags; S23, the task commander checks the lifting work order through the task execution control system and verifies the order task configuration; if the verification is incorrect, it is reported to the resource dispatcher for modification; if the verification is correct, personnel resource configuration is performed according to the order information of the lifting work order, and the personnel resource configuration result is synchronized to the overhead crane order system; the personnel resource configuration includes the allocation of overhead crane operators and ground assistants; The lifting task execution comprises the following steps: S31, the mission commander, overhead crane operator and ground assistant are equipped with smart helmets and wear positioning tags; S32, the mission commander, the crane operator and the ground assistant collaboratively complete the lifting task corresponding to the lifting work order based on the lifting control system; S33, the mission commander confirms the completion of the lifting mission through the mission execution management and control system, and synchronizes the completion information to the overhead crane order system.

7. A method for controlling the lifting of a discrete manufacturing workshop as claimed in claim 6, characterized in that: In step S32 of the lifting task execution, in the process of completing the lifting task corresponding to the lifting work order, the UWB positioning system transmits in real time UWB positioning data collected based on the positioning tags, including staff location information, material location information, and tool location information; the task execution management and control system generates the motion trajectory of the lifting task corresponding to the lifting work order based on the UWB positioning data and the positioning engine algorithm.

8. A method for hoisting control in a discrete manufacturing workshop as claimed in claim 6, characterized in that: In step S32 of the lifting task execution, in the process of completing the lifting task corresponding to the lifting work order, the crane operator and the assistant collect and upload the video information of the working area through the smart safety helmet of the crane visualization system; the task commander, the crane operator and the assistant retrieve the video information of each working area through the crane visualization terminal respectively, and cooperate with the voice transceiver (6) of the smart safety helmet to conduct remote visualization interaction.

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