A multi-source sensing internet of things-based operation and maintenance system and monitoring platform

Abstract

The utility model provides a kind of based on multi-source sensing internet of things operation and maintenance system and monitoring platform, and operation and maintenance system includes data acquisition module, computer lab server and operation and maintenance system edge controller, data acquisition module obtains the state data of luggage sorting system equipment system, computer lab server exports the control data of luggage sorting system equipment system according to state data, and operation and maintenance system edge controller exports the control signal of luggage sorting system equipment system according to control data;Data acquisition module includes acquisition card, camera and multiple sensors;Camera and multiple sensors respectively gather the image signal and operating signal of luggage sorting system equipment, and acquisition card includes modular host computer and scalable acquisition board card, and scalable acquisition board card can be connected with multiple sensors with camera.The utility model solves the problem that in the prior art, due to the inability to comprehensively and timely perceive the operating status of the luggage sorting system equipment, causing the equipment failure to be difficult to timely alarm and accurately diagnose.

Description

Technical Field

[0001] This utility model relates to the field of baggage sorting system equipment operation and maintenance technology, and in particular to an operation and maintenance system and monitoring platform based on multi-source sensor Internet of Things. Background Technology

[0002] In the field of air logistics, the efficiency and reliability of baggage handling systems are of great significance to improving service quality and ensuring flight punctuality. As the core component of baggage handling systems, baggage sorting systems include three main categories: conveying equipment (linear conveyors, turning conveyors), sorting equipment (pallet sorters, independent transport units), and retrieval equipment (carousels), undertaking important tasks such as baggage conveying, sorting, and retrieval.

[0003] However, due to the complex working environment, large load variations, and long-term continuous operation, baggage sorting systems face varying degrees of failure risks in actual operation, such as belt wear, bearing damage, and drive motor failure. These failures not only lead to equipment downtime and increased maintenance costs, but may also cause delays in baggage processing, affecting the overall experience of airlines and passengers. To ensure the normal operation of the baggage sorting system, it is necessary to perform regular maintenance. Traditional maintenance methods often rely on periodic inspections and manual checks, which have problems such as lagging monitoring of equipment health and untimely fault identification.

[0004] However, most existing baggage sorting systems rely on single-source sensor data monitoring, which cannot comprehensively and timely perceive the operating status of the equipment, thus affecting the timely warning and accurate diagnosis of equipment failures at the back end. Utility Model Content

[0005] To address the shortcomings of existing technologies, this utility model provides an operation and maintenance system and monitoring platform based on multi-source sensor Internet of Things, which solves the problem in existing technologies where the inability to comprehensively and timely perceive the operating status of baggage sorting system equipment makes it difficult to provide timely early warning and accurate diagnosis of equipment failures.

[0006] According to an embodiment of this utility model, an operation and maintenance system based on multi-source sensor Internet of Things (IoT) is provided. The system includes a data acquisition module, a data center server, and an edge controller. The data acquisition module acquires status data of the baggage sorting system equipment. The data center server outputs control data for the baggage sorting system equipment based on the status data. The edge controller outputs control signals for the baggage sorting system equipment based on the control data. The baggage sorting system equipment includes baggage sorting equipment and a baggage sorting system controller connected to the equipment. The data acquisition module includes a data acquisition card, a camera, and multiple sensors. The camera acquires image signals from the baggage sorting system equipment, and the multiple sensors acquire operating signals from the equipment. The data acquisition card includes a modular host and an expandable acquisition board, which is connected to the camera and the multiple sensors.

[0007] Preferably, the baggage sorting system controller includes a PLC and a frequency converter connected to the PLC, the frequency converter being used to drive the baggage sorting system equipment;

[0008] The expandable acquisition board is connected to the PLC and is used to acquire motor operating status signals and operating signals of the baggage sorting system equipment.

[0009] Preferably, the plurality of sensors include:

[0010] The first vibration sensor is used to collect vibration signals from the drive roller bearing housing in the baggage sorting system equipment;

[0011] The second vibration sensor is used to collect vibration signals from the redirecting bearing support in the baggage sorting system equipment;

[0012] The third vibration sensor is used to collect vibration signals from the reducer housing in the baggage sorting system equipment;

[0013] Temperature sensors are used to collect temperature signals from the speed reducer motor in the baggage sorting system.

[0014] Noise sensors are used to collect sound signals from the gearbox housing and belt bends in the baggage sorting system equipment.

[0015] Preferably, the data acquisition module further includes an RS485 communication unit, which is communicatively connected to the data center server.

[0016] Preferably, the data center server includes an object model management platform and an AI base.

[0017] The object model management platform is used to forward the received status data of the baggage sorting system equipment system to the AI ​​base;

[0018] The AI ​​base outputs control data for the baggage sorting system based on the status data of the baggage sorting system equipment.

[0019] Preferably, the edge controller of the operation and maintenance system includes an MCN main control unit, an I / O communication interface, a PID controller and an alarm. The output of the MCN main control unit is connected to the I / O communication interface and the input of the PID controller. The output of the I / O communication interface is connected to the input of the alarm. The output of the PID controller is connected to the input of the baggage sorting system controller via DeviceNet.

[0020] According to another embodiment of the present invention, a monitoring platform based on multi-source sensing Internet of Things includes a cloud platform server and a user terminal, and also includes the operation and maintenance system described in any of the above.

[0021] The output of the data center server is connected to the cloud platform server via a dedicated cloud line; the cloud platform server also communicates with the user terminal via a dedicated cloud line.

[0022] Preferably, the cloud platform server includes: a data storage unit, an operation and maintenance big data analysis module, and a service forwarding interface. The input end of the operation and maintenance big data analysis module is connected to the output end of the data storage unit, and the output end of the operation and maintenance big data analysis module is connected to the input end of the service forwarding interface.

[0023] Preferably, the user terminal includes: a large-screen display of operation and maintenance data visualization and a handheld mobile terminal. The input terminals of the large-screen display of operation and maintenance data visualization and the handheld mobile terminal are both connected to the output terminal of the cloud platform server via a dedicated cloud line, and are used to display the received diagnostic reports and recommended maintenance solutions.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The operation and maintenance system provided by this utility model adopts a modular host structure with expandable acquisition boards. It can be flexibly configured and expanded by adding or removing acquisition boards according to the actual number of devices and spatial distribution characteristics in the baggage sorting system. It can collect various signals from the baggage sorting system devices, has excellent on-site adaptability and scalability, and can comprehensively and timely perceive the operating status of the baggage sorting system devices.

[0026] Furthermore, the operation and maintenance system provided by this utility model, combined with cloud platform servers, user terminals and other units, enables the monitoring platform to provide timely warnings of malfunctions in baggage sorting system equipment. Attached Figure Description

[0027] Figure 1 This is a control principle diagram of an operation and maintenance system based on a multi-source sensor Internet of Things according to an embodiment of the present utility model.

[0028] Figure 2 This is a top view of the baggage sorting system equipment according to an embodiment of the present utility model.

[0029] Figure 3 This is a control principle diagram of a monitoring platform based on a multi-source sensor Internet of Things according to another embodiment of the present invention.

[0030] In the above attached diagram: 1. Data acquisition module; 2. Server room; 3. Edge controller for operation and maintenance system; 4. Baggage sorting system equipment; 5. Baggage sorting system controller; 6. Cloud platform server; 7. User terminal; 11. Acquisition card; 12. Camera; 13. First vibration sensor; 14. Second vibration sensor; 15. Third vibration sensor; 16. Temperature sensor; 17. Noise sensor; 21. Object model management platform; 22. AI base; 31. MCN main control unit; 32. I / O communication interface; 33. PID controller; 34. Alarm; 51. PLC; 52. Frequency converter; 61. Data storage unit; 62. Operation and maintenance big data analysis module; 63. Service forwarding interface; 71. Operation and maintenance data visualization screen; 72. Handheld mobile terminal; 111. Modular host; 112. Expandable acquisition board; 211. Protocol parser; 212. Model mapping interface; 221. Data preprocessing unit; 222. Model processing unit; 223. Result output interface. Detailed Implementation

[0031] The technical solution of this utility model will be further described below with reference to the accompanying drawings and embodiments.

[0032] like Figure 1 and Figure 2As shown in the figure, this utility model embodiment proposes an operation and maintenance system based on multi-source sensor Internet of Things. The operation and maintenance system includes a data acquisition module 1, a data center server 2, and an operation and maintenance system edge controller 3. The data acquisition module 1 is used to acquire the status data of the baggage sorting system equipment 4. The data center server 2 outputs control data of the baggage sorting system equipment 4 based on the status data. The operation and maintenance system edge controller 3 outputs control signals of the baggage sorting system equipment 4 based on the control data. The baggage sorting system equipment 4 includes a baggage sorting system equipment 4 and a baggage sorting system controller 5 connected to the baggage sorting system equipment 4. The data acquisition module 1 includes a acquisition card 11, a camera 12, and multiple sensors. The camera 12 is used to acquire image signals of the baggage sorting system equipment 4, and the multiple sensors are used to acquire operating signals of the baggage sorting system equipment 4. The acquisition card 11 includes a modular host 111 and an expandable acquisition board 112. The expandable acquisition board 112 is connected to the camera 12 and the multiple sensors. Specifically... The baggage sorting system device 4 is equipped with a camera 12 mounted above the conveyor belt. The camera 12 is selected to have high resolution and good image processing capabilities, and it takes pictures in real time to ensure that small cracks and wear on the conveyor belt can be monitored in real time. In addition, the camera 12 is mounted above the conveyor belt, so it can overlook the entire area of ​​the conveyor belt to ensure that the entire width of the conveyor belt is covered. The acquisition card 11 integrates a data gateway and is deployed in the main control cabinet of the equipment on site. It adopts the structure design of the modular host 111 with the expandable acquisition card 112. It can be flexibly configured and expanded by adding or removing the expandable acquisition card 112 according to the actual number of equipment and spatial distribution characteristics on site, and has excellent on-site adaptability and scalability. The camera 12 and the multiple sensors transmit the image signals and operation signals of the baggage sorting system device 4 to the expandable acquisition card 112 through serial port to realize the real-time acquisition of image signals and operation signals of the baggage sorting system device 4.

[0033] Furthermore, the baggage sorting system controller 5 includes a PLC 51 and a frequency converter 52 connected to the PLC 51. The frequency converter 52 is used to drive the baggage sorting system equipment 4. The expandable acquisition board 112 is connected to the PLC 51 and is used to acquire the motor operating status signal and operating signal of the baggage sorting system equipment 4. Specifically, the layout of the controller of the baggage sorting system equipment 4 needs to be able to fully cover the entire baggage sorting system equipment 4 to ensure that each baggage sorting system equipment 4 can be monitored and controlled. Therefore, the PLC 51 is installed in the main control cabinet of the baggage sorting system equipment 4 to monitor and acquire the operating time and operating speed of the baggage sorting system equipment 4 during operation. The frequency converter 52 is installed at the three-phase winding leads of the motor of the baggage sorting system equipment 4 to drive the baggage sorting system equipment 4 and acquire the current, voltage, speed and frequency of the motor during operation. Abnormal fluctuations in voltage and current during operation can provide early warning of short circuits in motor windings, unstable power supply, or overload. The speed values ​​of the acquired equipment can be used to identify abnormalities in the mechanical transmission process. After acquisition, the running time and speed of the baggage sorting system equipment 4, as well as the current, voltage, speed, and frequency data of the motor during operation, are transmitted via DeviceNet to the expandable acquisition board 112 of the data acquisition module 1. This enables the acquisition of motor operating status signals and operating signals of the baggage sorting system equipment 4. Combined with the camera 12 and the multiple sensors, the acquired image signals and operating signals of the baggage sorting system equipment 4 are transmitted to the expandable acquisition board 112, thereby achieving real-time acquisition of multiple signals from the baggage sorting system equipment 4. Compared with the traditional method of monitoring baggage sorting system equipment 4 using single-source sensor data, this method can comprehensively and timely perceive the operating status of the baggage sorting system equipment 4.

[0034] Further, the plurality of sensors include: a first vibration sensor 13 for collecting vibration signals from the drive roller bearing housing in the baggage sorting system equipment 4; a second vibration sensor 14 for collecting vibration signals from the redirecting bearing support in the baggage sorting system equipment 4; a third vibration sensor 15 for collecting vibration signals from the reducer housing in the baggage sorting system equipment 4; a temperature sensor 16 for collecting temperature signals from the reducer motor in the baggage sorting system equipment 4 during operation; and a noise sensor 17 for collecting sound signals from the reducer housing and belt turning section in the baggage sorting system equipment 4. Specifically, the first vibration sensor 13, the second vibration sensor 14, and the third vibration sensor 15 are respectively distributed on the drive roller bearing housing of the baggage sorting system equipment 4. The bearing housing, redirecting bearing support, and reducer housing are used to monitor the vibration characteristics (such as mechanical shock and resonant frequency shift) of key components of the baggage sorting system equipment 4, including the bearing housing, rollers, and reducer. The temperature sensor 16 is installed at the motor of the reducer in the baggage sorting system equipment 4 to monitor the motor temperature during operation. The noise sensor 17 is installed at the reducer housing and belt bend section of the baggage sorting system equipment 4. The noise sensor 17 installed at the reducer housing is used to detect abnormal gear meshing noise in the reducer, and the noise sensor 17 installed at the belt bend section is used to detect abnormal friction noise between the belt and the guide wheel when the belt deviates. By collecting the operating noise of key parts of the baggage sorting system equipment 4, fault diagnosis can be performed.

[0035] Furthermore, the data acquisition module 1 also includes an RS485 communication unit, which is communicatively connected to the data center server 2. Specifically, the acquisition card 11 is communicatively connected to the data center server 2 through the RS485 communication unit, so that the status data of the baggage sorting system device 4 obtained by the expandable acquisition card 112 can be transmitted to the data center server 2 via the RS485 communication unit. Afterwards, the data center server 2 can output the control data of the baggage sorting system device 4 to the operation and maintenance system edge controller 3 according to the received status data.

[0036] Furthermore, the server room 2 includes a material model management platform 21 and an AI base 22. The material model management platform 21 forwards the received status data of the baggage sorting system equipment 4 to the AI ​​base 22. The AI ​​base 22 outputs control data of the baggage sorting system equipment 4 based on the status data. Specifically, the material model management platform 21 includes a protocol parser 211 and a model mapping interface 212. The input of the protocol parser 211 is connected to the RS485 communication unit of the acquisition card 11, and the output of the protocol parser 211 is connected to the input of the model mapping interface 212. The AI ​​base 22 includes a data preprocessing unit 221, a model processing unit 222, and a result output interface 223. The input of the data preprocessing unit 221 is connected to the output of the model mapping interface 212 via HTTP, and the output of the data preprocessing unit 221 is connected to the input of the model processing unit 222. The model processing unit 222 is connected to the input of the result output interface 223. The object model management platform 21 and the AI ​​base 22 are respectively deployed in a server or virtual server in the computer room of the baggage sorting system equipment 4. They transmit data with the data acquisition module 1 and the operation and maintenance system edge controller 3 through the Ethernet network composed of the switch of the baggage sorting system equipment 4. After the acquisition card 11 transmits the various signals of the baggage sorting system equipment 4 to the protocol parser 211 of the computer room server 2, the protocol parser 211 will parse and process the received data, and after parsing, it will be transmitted to the data preprocessing unit 221 of the AI ​​base 22 via HTTP through the model mapping interface 212. After the data is preprocessed and processed by the data preprocessing unit 221 and the model processing unit 222, the control data of the baggage sorting system equipment 4 is output by the result output interface 223.

[0037] Furthermore, the operation and maintenance system edge controller 3 includes an MCN main control unit 31, an I / O communication interface 32, a PID controller 33, and an alarm 34. The output of the MCN main control unit 31 is connected to the input of the I / O communication interface 32 and the PID controller 33. The output of the I / O communication interface 32 is connected to the input of the alarm 34. The output of the PID controller 33 is connected to the input of the baggage sorting system controller 5 via DeviceNet. Specifically, the operation and maintenance system edge controller 3 is deployed at the site of the baggage sorting system equipment 4, close to the data acquisition module 1 and the baggage sorting system controller 5, and in the same network. The MCN main control unit 31 uses an ARM STM microcontroller, and the PID controller 33 uses a T-series microcontroller with integrated PID control function. The C000 series DSP of the I series includes an alarm 34 installed on the side of the baggage sorting system equipment 4. The input terminal of the MCN main control unit 31 is connected to the output terminal of the result output interface 223 via MQTT. After receiving the control data of the baggage sorting system equipment 4 output by the result output interface 223, the MCN main control unit 31 will output the control signal of the baggage sorting system equipment 4 according to the control data. This allows the MCN main control unit 31 to control the equipment speed through the PID controller 33, thereby adjusting the equipment's operating speed. At the same time, the alarm 34 can be controlled through the I / O communication interface 32, causing the alarm 34 to issue an audible and visual alarm when data is abnormal. Compared with the traditional baggage sorting system maintenance that relies on periodic inspections and manual checks, this method can provide timely early warning of equipment failures.

[0038] The detailed working process of this embodiment is as follows:

[0039] Multiple sensors and the camera 12 are deployed at key locations of the baggage sorting system equipment 4. The camera 12 is mounted above the conveyor belt, overlooking the entire conveyor belt area to collect image signals. The first vibration sensor 13, the second vibration sensor 14, and the third vibration sensor 15 are respectively deployed at the drive roller bearing housing, the redirecting bearing support, and the reducer housing of the baggage sorting system equipment 4 to collect vibration signals from the bearings, rollers, and reducer of the baggage sorting system equipment 4. The temperature sensor 16 is installed on the motor of the reducer of the baggage sorting system equipment 4 to collect temperature signals when the motor is operating. The noise sensor 17 is installed between the reducer housing and the belt bend section of the baggage sorting system equipment 4 to collect noise signals. The system collects sound signals from gear meshing and belt turning sections of the reducer. Additionally, the PLC 51 and the frequency converter 52 are positioned at the main control cabinet of the baggage sorting system 4 and the three-phase winding leads of the motor. The frequency converter 52 drives the baggage sorting system 4 and collects the current, voltage, speed, and frequency of the motor during operation. The PLC 51 collects the operating time and speed of the baggage sorting system 4. After collection, the collected data is transmitted to the expandable acquisition board 112, enabling real-time acquisition of various signals from the baggage sorting system 4. Compared to the traditional method of monitoring baggage sorting systems using single-source sensor data, this method provides a comprehensive and timely perception of the baggage sorting system 4's operating status.

[0040] Subsequently, the status data of the baggage sorting system device 4 is transmitted to the protocol parser 211 of the server room 2 via the RS485 unit through the expandable acquisition board 112. The protocol parser 211 parses and processes the received data, and then transmits it via HTTP through the model mapping interface 212 to the data preprocessing unit 221 of the AI ​​base 22. After the data preprocessing unit 221 and the model processing unit 222 preprocess and process the data respectively, the result output interface 223 outputs the data to the MCN main control unit 31. The control data of the baggage sorting system equipment 4 is received by the MCN main control unit 31. After receiving the control data, the MCN main control unit 31 will output the control signal of the baggage sorting system equipment 4 according to the control data. This allows the MCN main control unit 31 to control the equipment speed through the PID controller 33, thereby adjusting the equipment's operating speed. At the same time, the alarm 34 can be controlled through the I / O communication interface 32, so that the alarm 34 will issue an audible and visual alarm when the data is abnormal. Compared with the traditional baggage sorting system maintenance, which relies on periodic inspections and manual checks, this method can provide timely early warning of equipment failures.

[0041] like Figure 3 As shown, another embodiment of this utility model proposes a monitoring platform based on multi-source sensor Internet of Things. The monitoring platform also includes the operation and maintenance system described above. The output end of the data center server 2 is connected to the cloud platform server 6 via a cloud dedicated line. The cloud platform server 6 is also connected to the user terminal 7 via a cloud dedicated line. Specifically, the cloud platform server 6 is deployed in a server or virtual server in the data center of the airport group. It transmits data with the AI ​​base 22 of the data center server 2 and the user terminal 7 via a cloud dedicated line. The cloud platform server 6 generates a diagnostic report for the baggage sorting system equipment 4 based on the control data output by the result output interface 223 and transmits it to the user terminal 7 for display.

[0042] Furthermore, the cloud platform server 6 includes: a data storage unit 61, an operation and maintenance big data analysis module 62, and a service forwarding interface 63. The input end of the operation and maintenance big data analysis module 62 is connected to the output end of the data storage unit 61, and the output end of the operation and maintenance big data analysis module 62 is connected to the input end of the service forwarding interface 63. Specifically, after the cloud platform server 6 receives the control data transmitted from the result output interface 223 of the AI ​​base 22 using the cloud dedicated line, all control data will be persistently stored in the data storage unit 61. At the same time, the operation and maintenance big data analysis module 62 will generate a diagnostic report for the device based on the device's control data and alarm information, and transmit it to the user terminal 7 via the service forwarding interface 63.

[0043] Furthermore, the user terminal 7 includes a large-screen display of operation and maintenance data 71 and a handheld mobile terminal 72. The input terminals of both the large-screen display of operation and maintenance data 71 and the handheld mobile terminal 72 are connected to the output terminal of the cloud platform server 6 via a dedicated cloud line for displaying received diagnostic reports and recommended maintenance solutions. Specifically, the large-screen display of operation and maintenance data 71 is deployed on the wall of the control room of the airport baggage sorting system equipment 4, and the handheld mobile terminal 72 is assigned to each operation and maintenance personnel to carry with them. This allows operation and maintenance personnel to view the diagnostic reports of the baggage sorting system equipment 4 through the large-screen display of operation and maintenance data 71 or the handheld mobile terminal 72. Compared with the traditional method of viewing through a display screen, this method does not restrict the viewing location of operation and maintenance personnel and is more flexible and free.

[0044] The detailed working process of this embodiment is as follows:

[0045] While the result output interface 223 outputs the control data of the baggage sorting system device 4 to the MCN main control unit 31, the result output interface 223 also outputs the control data of the baggage sorting system device 4 to the cloud platform server 6. After the cloud platform server 6 receives the control data transmitted from the result output interface 223 using a cloud dedicated line, all control data will be persistently stored in the data storage unit 61. At the same time, the operation and maintenance big data analysis module 62 will generate a fault diagnosis report of the device based on the device's control data and alarm information, and transmit it to the operation and maintenance data visualization screen 71 and the handheld mobile terminal 72 of the user terminal 7 via the service forwarding interface 63. This allows operation and maintenance personnel to view the fault diagnosis report of the baggage sorting system device 4 through the operation and maintenance data visualization screen 71 or the handheld mobile terminal 72. Compared with the traditional method of viewing through a display screen, this method does not restrict the viewing location of operation and maintenance personnel and is more flexible and free.

[0046] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this utility model and are not intended to limit it. Although this utility model has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of this utility model without departing from the spirit and scope of the technical solutions of this utility model, and all such modifications or substitutions should be covered within the scope of the claims of this utility model.

Claims

1. An operation and maintenance system based on multi-source sensing Internet of Things (IoT), the operation and maintenance system comprising a data acquisition module, a data center server, and an operation and maintenance system edge controller, wherein the data acquisition module is used to acquire status data of the baggage sorting system equipment system, the data center server outputs control data of the baggage sorting system equipment system based on the status data, and the operation and maintenance system edge controller outputs control signals of the baggage sorting system equipment system based on the control data; the baggage sorting system equipment system comprises baggage sorting system equipment and a baggage sorting system controller connected to the baggage sorting system equipment; Its features are: The data acquisition module includes a data acquisition card, a camera, and multiple sensors. The camera is used to acquire image signals from the baggage sorting system equipment, and the multiple sensors are used to acquire operating signals from the baggage sorting system equipment. The data acquisition card includes a modular host and an expandable data acquisition board, and the expandable data acquisition board is connected to the camera and the multiple sensors.

2. The operation and maintenance system based on multi-source sensor Internet of Things according to claim 1, characterized in that: The baggage sorting system controller includes a PLC and a frequency converter connected to the PLC, the frequency converter being used to drive the baggage sorting system equipment; The expandable acquisition board is connected to the PLC and is used to acquire motor operating status signals and operating signals of the baggage sorting system equipment.

3. The operation and maintenance system based on multi-source sensor Internet of Things according to claim 2, characterized in that: The plurality of sensors include: The first vibration sensor is used to collect vibration signals from the drive roller bearing housing in the baggage sorting system equipment; The second vibration sensor is used to collect vibration signals from the redirecting bearing support in the baggage sorting system equipment; The third vibration sensor is used to collect vibration signals from the reducer housing in the baggage sorting system equipment; Temperature sensors are used to collect temperature signals from the speed reducer motor in the baggage sorting system. Noise sensors are used to collect sound signals from the gearbox housing and belt bends in the baggage sorting system equipment.

4. The operation and maintenance system based on multi-source sensor Internet of Things according to claim 1, characterized in that: The data acquisition module also includes an RS485 communication unit, which is connected to the server in the computer room.

5. The operation and maintenance system based on multi-source sensor Internet of Things according to claim 1, characterized in that: The server room includes an object model management platform and an AI base. The object model management platform is used to forward the received status data of the baggage sorting system equipment system to the AI ​​base; The AI ​​base outputs control data for the baggage sorting system based on the status data of the baggage sorting system equipment.

6. The operation and maintenance system based on multi-source sensor Internet of Things according to claim 1, characterized in that: The edge controller of the operation and maintenance system includes an MCN main control unit, an I / O communication interface, a PID controller, and an alarm. The output of the MCN main control unit is connected to the I / O communication interface and the input of the PID controller. The output of the I / O communication interface is connected to the input of the alarm. The output of the PID controller is connected to the input of the baggage sorting system controller via DeviceNet.

7. A monitoring platform based on multi-source sensing Internet of Things, comprising a cloud platform server and a user terminal, characterized in that: The monitoring platform also includes the operation and maintenance system as described in any one of claims 1-6; The output of the data center server is connected to the cloud platform server via a dedicated cloud line; the cloud platform server also communicates with the user terminal via a dedicated cloud line.

8. The monitoring platform based on multi-source sensor Internet of Things according to claim 7, characterized in that: The cloud platform server includes: a data storage unit, an operation and maintenance big data analysis module, and a service forwarding interface. The input end of the operation and maintenance big data analysis module is connected to the output end of the data storage unit, and the output end of the operation and maintenance big data analysis module is connected to the input end of the service forwarding interface.

9. The monitoring platform based on multi-source sensor Internet of Things according to claim 7, characterized in that: The user terminal includes a large-screen display of operation and maintenance data and a handheld mobile terminal. The input terminals of the large-screen display of operation and maintenance data and the handheld mobile terminal are connected to the output terminal of the cloud platform server via a dedicated cloud line, and are used to display the received diagnostic reports and recommended maintenance solutions.

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