CN111768150A - Logistics equipment health management platform based on 5G network - Google Patents
Logistics equipment health management platform based on 5G network Download PDFInfo
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Abstract
The invention discloses a logistics equipment health management platform based on a 5G network, which comprises the following steps: inputting logistics equipment information; step two, testing by configuring parameters of the logistics equipment; transmitting the logistics equipment and the product state data to a cloud platform, and judging whether the logistics equipment fails; the cloud platform provides a solution to perform fault processing; the cloud platform carries out feature matching on the parameters of the logistics equipment, predicts faults and carries out maintenance measures; the cloud platform transmits the fault parameters, the referable solution and the AR model of the logistics equipment to the mobile terminal and carries out fault processing; and seventhly, the products are sequentially subjected to feature recognition, defect detection and classification, and the logistics equipment transports the products to corresponding warehouses. The invention has the advantages of detecting and monitoring the real-time state of logistics equipment and products, reducing maintenance cost, improving working efficiency and reducing the workload of workers.
Description
Technical Field
The invention relates to the technical field of logistics equipment, in particular to a logistics equipment health management platform based on a 5G network.
Background
At present, the areas of warehouses used in industry are large, and more articles are stored in the warehouses, so that a logistics system is used for transportation, warehousing, ex-warehouse and the like; the logistics equipment is a material foundation in a logistics system, along with the development and progress of logistics, the logistics equipment is continuously promoted and developed, and many new equipment in the field of the logistics equipment continuously emerge, such as a four-way tray, an overhead forklift, an automatic sorting machine, an Automatic Guided Vehicle (AGV), a container and the like, so that the labor intensity of people is greatly reduced, the logistics operation efficiency and the service quality are improved, the logistics cost is reduced, the logistics equipment plays an important role in logistics operation, and the rapid development of logistics is greatly promoted; but at present, the staff can not know the state of the logistics equipment in time and can not maintain the logistics equipment, so that the equipment is easy to have hidden troubles, and meanwhile, the logistics equipment in a warehouse can be more, so that the logistics equipment is difficult to be managed in a centralized way, the working efficiency can be reduced when the equipment breaks down, and the potential safety hazard can also exist.
Disclosure of Invention
The invention aims to solve the problems and designs a logistics equipment health management platform based on a 5G network.
The technical scheme of the invention is that a logistics equipment health management platform based on a 5G network comprises the following steps:
inputting logistics equipment information to form an information database;
testing by configuring parameters of the logistics equipment, and transmitting the parameters to the information database through data;
step three, transmitting logistics equipment and product state data in the transportation process to a cloud platform, judging whether the logistics equipment is in fault, and skipping to step four when the logistics equipment is in fault, otherwise skipping to step five, and transmitting the product state to a vision system skipping to step seven;
the cloud platform provides a fault analysis report and a solution, a worker carries out fault processing, the step seven is skipped after the fault processing is finished, and the step six is skipped if the cloud platform does not provide the solution;
the cloud platform carries out feature matching on the parameters of the logistics equipment, predicts faults, carries out maintenance measures by workers and then skips to the seventh step;
the cloud platform transmits the fault parameters, the solution which can be referred to and the AR model of the logistics equipment to the mobile terminal, a worker discusses the solution and carries out fault treatment, and the seventh step is skipped after the fault treatment is finished;
and seventhly, the vision system identifies the characteristics of the products, the central main control module detects the defects of the products, the AI main control system classifies the products, and the logistics equipment transports the products to corresponding warehouses.
As a further explanation of the present invention, in the first step, each logistics device forms the corresponding information database and data barcode when entering information, wherein information in the corresponding information database can be obtained by scanning the data barcode.
The information database comprises a fault database for recording fault parameters of the logistics equipment, a health database for recording non-fault parameters of the logistics equipment, a diagnosis database for recording historical maintenance schemes of the equipment and part parameters in the logistics equipment.
As a further explanation of the present invention, in the third step, the state data of the logistics devices and the products are transmitted to the cloud platform through the remote access hardware, and the cloud platform filters and analyzes the parameters of the logistics devices and the data in the information database, and determines whether the logistics devices are in failure.
As a further explanation of the present invention, the solution provided by the cloud platform in step four is the solution recorded in the information database, and the cloud platform triggers the first alarm module to remind the staff to perform processing.
As a further explanation of the present invention, in step six, the cloud platform triggers the second alarm module to remind the staff that no solution is provided.
As a further illustration of the invention, the solutions and fault handling parameters discussed by the worker in step six are transmitted to the information database.
As a further explanation of the present invention, in step seven, the vision system transmits the product characteristic data to the central main control module, the central main control module sends an instruction to the robot to perform defect detection on the product, the detection data is transmitted to the vision system from the central main control module, the vision system transmits all information of the product to the AI main control system for classification, the product is transported to a corresponding warehouse by logistics equipment, when the product enters the warehouse, the sensing module is triggered to sense whether the time when the product enters the warehouse is within a specified time, and if not, the third alarm module is triggered to remind a worker of performing corresponding processing.
As a further explanation of the present invention, when the AI master control system performs classification, products are classified into two major categories, non-defective products and defective products, and the products are subdivided among the non-defective products and the defective products according to the size and type of the products.
As a further explanation of the present invention, the cloud platform performs data transmission through a 5G network.
The invention has the advantages that the invention carries out data transmission based on a 5G network, and the high-speed, high-quality and stable network transmission capability of the 5G network improves the convenience of logistics equipment management; through the information database, workers can know the information of each logistics device conveniently, fault analysis reports can be generated when faults occur, previous solutions are screened in the information database, and therefore the workers can know the reasons of the faults in time and perform corresponding fault treatment; the first alarm module and the second alarm module are arranged to remind workers of timely carrying out failure on logistics equipment; the deep learning is applied to an AI master control system to classify the products, the product identification speed is high, and the classification result is accurate; the logistics equipment health management platform can be used for detecting and monitoring the real-time states of logistics equipment and products in a centralized manner, so that the maintenance cost is reduced, the working efficiency is improved, and the workload of workers is reduced.
Drawings
FIG. 1 is a flow chart of the logistics equipment health management platform of the present invention;
fig. 2 is a schematic diagram of an information database according to the present invention.
Detailed Description
The logistics equipment is continuously promoted and developed, the labor intensity of people is greatly reduced, the logistics operation efficiency and the service quality are improved, and the logistics cost is reduced, so that the logistics equipment plays an important role in the logistics industry, but the logistics equipment is easy to have hidden dangers and difficult to manage in a centralized manner, and therefore the invention provides the logistics equipment health management platform based on the 5G network.
The present invention will be described in detail below with reference to the accompanying drawings, and as shown in fig. 1-2, the logistics equipment health management platform includes the following steps:
uploading the information of each logistics device to an MES system, classifying the logistics devices into a plurality of categories based on the types of the logistics devices, wherein each logistics device has an information database, each logistics device is attached with a data bar code with information of the information database, and a worker can inquire the information of the equipment by scanning the bar code;
the method comprises the following steps that firstly, a worker conducts functional test and scene simulation test on logistics equipment by adopting a mobile terminal, and real-time test data are uploaded to an information database corresponding to the logistics equipment in an MES (manufacturing execution system), wherein the information database comprises a fault database for recording fault parameters of the logistics equipment, a health database for recording non-fault parameters of the logistics equipment and a diagnosis database for recording historical maintenance schemes of the equipment;
thirdly, each logistics device in the whole logistics transportation process is remotely accessed to hardware such as a camera, AR glasses and the like, the recorded logistics device state and product state data are transmitted to a cloud platform in the transportation process, then the cloud platform carries out filtering and analysis through data in a fault database and a health database in an MES system, the logistics device is judged to be in a fault state or a non-fault state, if the logistics device is in the fault state, the fourth step is carried out, if the logistics device is in the non-fault state, the fifth step is carried out, and the state of the product is fed back to a vision system to carry out the seventh step;
the cloud platform analyzes the faults, screens out previous solutions with the faults in the diagnosis database, transmits the analysis reports of the faults and the solutions to the mobile terminal, triggers the first alarm module to remind workers to process the faults, performs the seventh step after the faults of the logistics equipment are solved, and performs the sixth step if the solutions are not screened out from the diagnosis database;
the cloud platform carries out feature matching according to the parameters of the logistics equipment at the moment, predicts the possible faults of the logistics equipment, carries out maintenance measures according to the solution given by the cloud platform if the maintenance workers need to carry out maintenance, then carries out the step seven, and directly carries out the step seven if the maintenance workers do not need to carry out maintenance;
the cloud platform triggers a second alarm module to remind a worker that a solution is not provided, the cloud platform screens out a solution which can be referred on the network under the help of the high-speed high-quality stable network transmission capacity of 5G, and transmits fault parameters, the solution which can be referred and an AR model of the logistics equipment to the mobile terminal, the worker can observe the problems of the logistics equipment at the moment through the AR model, discuss the solution and maintain the logistics equipment, meanwhile, the solution can be recorded in a diagnosis database, and the seventh step is carried out after the fault is solved;
the vision system firstly identifies the characteristics of the products and transmits the information of the products to the central main control module, the central main control module sends an instruction to the robot, the robot detects the defects of the products, the central main control module transmits the result to the vision system after detection, and then the vision system transmits the information of the products to the AI main control system.
It should be noted that, what is additionally described in the above steps is that, not only the step six but also the 5G network is used when data transmission is performed in each step, and the management of the logistics equipment is more convenient due to the technical advantages of the 5G network; the defect detection in the seventh step is to know the state condition of the product in the product transportation process, and the AI main control system can be divided into two major categories, namely a non-defective product and a defective product, when classifying the products, and then subdivide the products according to the size and the type; the failure analysis report in the fourth step can show the type and time of the failure of the logistics equipment, the influence caused by the failure and other information.
When the logistics equipment works normally, the logistics equipment has a plurality of actions (such as grabbing, lifting, placing, transferring and the like), a plurality of logical relations (such as sequence, synchronization, priority and the like) exist among the actions, when the logistics equipment is detected in the step two, the actions of the logistics equipment are detected, the actions of the logistics equipment are compiled into calculation codes and uploaded to an EMS system, then a worker can send out an instruction through a mobile terminal, and the cloud platform transmits instruction data to the logistics equipment and makes corresponding actions.
In order to avoid frequent failure of the logistics equipment, the staff can regularly perform performance detection on the logistics equipment, and repair and maintain the logistics equipment according to the detection result, so that the work efficiency of logistics transportation is improved; meanwhile, the cloud platform can also regularly send various parameters of the logistics equipment to the mobile terminal, so that a worker can know the current state of the logistics equipment, and certainly, the worker can inquire the state of the logistics equipment through the mobile terminal when wanting to know the state of the logistics equipment; various parameters of the logistics equipment comprise the position, the number, the equipment type, the working state and the like of the logistics equipment, and also comprise related parameters of parts in the equipment, and the cloud platform can carry out fault prediction analysis on the condition of the parts so as to prompt workers to replace the parts in time; it should be noted that the logistics devices include all intelligent hardware devices in the whole warehouse (for example, intelligent handling devices, logistics transportation devices, stereoscopic warehouse devices, auxiliary devices, etc.); certainly, the staff can see not only the state of a single logistics device on the mobile terminal, but also a current logistics transportation state through data transmitted by the camera and the AR glasses, so as to know whether the operation between the logistics devices is normal or not, and the situation of congestion can not occur.
The technical solutions described above only represent the preferred technical solutions of the present invention, and some possible modifications to some parts of the technical solutions by those skilled in the art all represent the principles of the present invention, and fall within the protection scope of the present invention.
Claims (10)
1. A logistics equipment health management platform based on a 5G network is characterized by comprising the following steps:
inputting logistics equipment information to form an information database;
testing by configuring parameters of the logistics equipment, and transmitting the parameters to the information database through data;
step three, transmitting logistics equipment and product state data in the transportation process to a cloud platform, judging whether the logistics equipment is in fault, and skipping to step four when the logistics equipment is in fault, otherwise skipping to step five, and transmitting the product state to a vision system skipping to step seven;
the cloud platform provides a fault analysis report and a solution, a worker carries out fault processing, the step seven is skipped after the fault processing is finished, and the step six is skipped if the cloud platform does not provide the solution;
the cloud platform carries out feature matching on the parameters of the logistics equipment, predicts faults, carries out maintenance measures by workers and then skips to the seventh step;
the cloud platform transmits the fault parameters, the solution which can be referred to and the AR model of the logistics equipment to the mobile terminal, a worker discusses the solution and carries out fault treatment, and the seventh step is skipped after the fault treatment is finished;
and seventhly, the vision system identifies the characteristics of the products, the central main control module detects the defects of the products, the AI main control system classifies the products, and the logistics equipment transports the products to corresponding warehouses.
2. The logistics equipment health management platform based on 5G network of claim 1, wherein in the first step, each logistics equipment forms the corresponding information database and data bar code when entering information, wherein the information in the corresponding information database can be obtained by scanning the data bar code.
3. The logistics equipment health management platform based on the 5G network of claim 1, wherein the information database comprises a fault database for recording fault parameters of logistics equipment, a health database for recording non-fault parameters of logistics equipment, a diagnosis database for recording historical maintenance schemes of equipment and part parameters in logistics equipment.
4. The logistics equipment health management platform based on 5G network of claim 1, wherein in step three, the state data of the logistics equipment and the product is transmitted to the cloud platform through the remote access hardware, and the cloud platform filters and analyzes the parameters of the logistics equipment and the data in the information database to determine whether the logistics equipment is in fault.
5. The logistics equipment health management platform based on the 5G network of claim 1, wherein the solution provided by the cloud platform in step four is the solution recorded in the information database, and the cloud platform triggers the first alarm module to remind the staff to process.
6. The logistics equipment health management platform based on the 5G network of claim 1, wherein in the sixth step, the cloud platform triggers the second alarm module to remind the staff that no solution is provided.
7. The logistics equipment health management platform based on 5G network of claim 1, wherein the solution and fault handling parameters discussed by the worker in the sixth step are transmitted to the information database.
8. The logistics equipment health management platform based on 5G network of claim 1, wherein in step seven, the vision system transmits product characteristic data to the central main control module, the central main control module sends an instruction to the robot to detect defects of the product, detection data are transmitted to the vision system by the central main control module, the vision system transmits all information of the product to the AI main control system for classification, then the logistics equipment transports the product to a corresponding warehouse, when the product enters the warehouse, the sensing module is triggered to sense whether the time when the product enters the warehouse is within a specified time, and if not, the third alarm module is triggered to remind a worker to perform corresponding processing.
9. The platform of claim 8, wherein the AI master control system classifies products into two major categories, namely non-defective products and defective products, and subdivides the non-defective products and defective products according to the size and type of the products.
10. The logistics equipment health management platform based on 5G network of claim 1, wherein the cloud platform performs data transmission through the 5G network.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113341928A (en) * | 2021-06-15 | 2021-09-03 | 珠海格力电器股份有限公司 | Equipment unit fault determination method and device, storage medium and control terminal |
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| CN108873830A (en) * | 2018-05-31 | 2018-11-23 | 华中科技大学 | A kind of production scene online data collection analysis and failure prediction system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113341928A (en) * | 2021-06-15 | 2021-09-03 | 珠海格力电器股份有限公司 | Equipment unit fault determination method and device, storage medium and control terminal |
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Application publication date: 20201013 |