Wireless communication control system and method for electric lifting appliance

Abstract

The invention discloses a wireless communication control system and a wireless communication control method for an electric lifting appliance, which are used for solving the technical problems of low efficiency and large potential safety hazard caused by manual inspection of the state of a lifting hook, and difficult wiring and high maintenance cost in a complex environment in a traditional wired communication mode. The system comprises a master station control module, a support frame control module, a slave station execution module and a wireless transmission module, the master station control module comprises a master station control PLC, a lifting appliance control PLC, a lifting appliance rotation frequency converter, a monitoring background end and an alarm. The supporting frame control module comprises a supporting frame control PLC. The slave station execution module comprises a lifting appliance execution PLC (Programmable Logic Controller) and a monitoring camera; a master station control module arranged on the console is connected with a support frame control module arranged on the support frame, and the support frame control module is connected with a slave station execution module arranged on the lifting appliance through a wireless transmission module.

Description

Technical Field

[0001] This application relates to the field of electrical control technology, and particularly to a wireless communication control system and method for an electric hoist. Background Art

[0002] In modern industrial production, electric hoists, as important material handling equipment, are widely used in various manufacturing fields, such as automobile manufacturing, aerospace, heavy machinery, etc. With the development of industrial automation and intelligence, higher requirements are put forward for the control accuracy, safety, and remote monitoring ability of electric hoists. Electric hoists not only need to achieve precise lifting and moving operations, such as rotation, lifting, and hook opening and closing, but also need to be able to provide real-time feedback on the lifting state to ensure the smooth progress of the production process and personnel safety.

[0003] In the prior art, the traditional communication method is wired connection. The mechanical equipment and the electric hoist are connected by a wire rope over a long distance. The equipment signal transmission line has operations such as suspension, rotation, and wire retraction. The wired network laid lines are prone to interfering with the working environment of the hoist and machinery, resulting in damage to the transmission line and problems such as line interruption and breakage, leading to equipment signal transmission failures and the inability to achieve the automation control and signal transmission functions of the hoist. In addition, the opening and closing state of the hook often depends on manual inspection, which is not only inefficient but also poses serious safety hazards. Manual inspection requires the operator to be in close contact with the hoist, increasing the risk of injury in high-altitude or dangerous environments. At the same time, the accuracy of manual inspection is also limited by the operator's experience and attention state, and accidents may occur due to negligence or misjudgment.

[0004] Therefore, a wireless communication control system for an electric hoist is needed to solve the technical problems of low efficiency and high safety hazards caused by manual inspection of the hook state, as well as the difficulties in wiring and high maintenance costs of traditional wired communication methods in complex environments. Summary of the Invention

[0005] The embodiments of this application provide a wireless communication control system and method for an electric hoist to solve the technical problems of low efficiency and high safety hazards caused by manual inspection of the hook state, as well as the difficulties in wiring and high maintenance costs of traditional wired communication methods in complex environments.

[0006] In a first aspect, the embodiments of this application provide a communication control system for an electric hoist, and the system includes: A master station control module, a support frame control module, a slave station execution module, and a wireless transmission module; the master station control module is connected to the support frame control module arranged on the support frame through PN communication, the support frame control module is connected to the wireless transmission module through PN communication, and the wireless transmission module is connected to the slave station execution module arranged on the hoist.

[0007] Specifically, the master station control module includes: a master station control PLC, a spreader control PLC, a spreader rotation frequency converter, a monitoring background terminal, and an alarm; the master station control PLC is connected to the spreader control PLC and the monitoring background terminal through DP communication; the monitoring background terminal is connected to the alarm through a line; the spreader control PLC is connected to the spreader rotation frequency converter through DP communication.

[0008] Specifically, the support frame control module includes a support frame control PLC; the wireless transmission module includes a support frame wireless device and a spreader wireless device; the support frame control PLC is connected to the spreader control PLC in the master station control module through PN communication and is connected to the support frame wireless device in the wireless transmission module through PN communication; the support frame wireless device is connected to the spreader wireless device through wireless TCP communication; the spreader wireless device is connected to the slave station execution module through PN communication.

[0009] Specifically, the slave station control module includes a spreader execution PLC, a spreader rotation encoder, and a monitoring camera; the spreader execution PLC is respectively connected to the spreader rotation encoder and the monitoring camera through lines; the spreader rotation encoder is used to detect the actual rotation angle of the spreader and transmit the actual rotation angle to the spreader control PLC through the wireless transmission module; the monitoring camera is used to transmit the spreader picture in real time.

[0010] Specifically, the support frame wireless device of the wireless transmission module includes: a master station network switch, a network master base station, a master receiver, and a master transmitter; the spreader wireless device includes: a slave station network switch, a network slave base station, a slave receiver, and a slave transmitter; the master station network switch is connected to the network master base station through a line, and the network master base station is respectively connected to the master receiver and the master transmitter through lines; the slave station network switch is connected to the network slave base station through a line, and the network slave base station is respectively connected to the slave receiver and the slave transmitter through lines; the master receiver and the slave transmitter are connected through wireless communication, and the slave receiver and the master transmitter are connected through wireless communication.

[0011] Specifically, both the master station network switch and the slave station network switch are provided with a first LAN interface and a second LAN interface, where the first LAN interface is used to transmit control signals containing instructions, and the second LAN interface is used to transmit video signals of the monitoring camera.

[0012] Specifically, the slave station control module further includes a proximity metal sensor provided on the hook; the proximity metal sensor is connected to the spreader execution PLC and is used to confirm whether the hook is closed in place; after the spreader execution PLC in the slave station execution module controls the spreader to execute the hook opening and closing instruction, the spreader execution PLC confirms whether the hook is closed in place through the sensing data of the proximity metal sensor. When the hook is not closed in place, the spreader execution PLC sends an alarm message of "hook not closed" to the master station control PLC of the master station control module.

[0013] In a second aspect, an embodiment of the present application further provides a communication control method for an electric spreader. The method includes: the master control PLC of the master control module receives instructions from the staff and sends the instructions to the spreader control PLC; when the instructions contain the requirement for spreader rotation, the spreader control PLC controls the spreader to rotate through the spreader rotation frequency converter; when the instructions contain the requirement for the spreader hook to open and close, the master control PLC sends the hook opening and closing instructions to the support frame control module; the support frame control PLC of the support frame control module transmits the hook opening and closing instructions to the slave execution module through the wireless transmission module; the spreader execution PLC of the slave execution module controls the spreader to execute the hook opening and closing instructions, and transmits the hook image captured by the monitoring camera to the monitoring background end in the master control module in real time through the wireless transmission module; after preprocessing the hook image, the monitoring background end determines whether there is a preset fault type in the hook through the trained neural network model. If there is a hook fault, an alarm is given through a preset alarm; where the fault categories include: cracks, plastic deformation, cross-section, and wear.

[0014] Specifically, the preprocessing of the hook image by the monitoring background end includes: converting the hook image into a grayscale image; calculating the average grayscale value of the eight adjacent neighborhood pixel points of each pixel point in the image and replacing the grayscale value of the pixel point with the average value to perform denoising processing on the grayscale image; using the histogram equalization algorithm to enhance the contrast of the grayscale image.

[0015] Specifically, the training process of the neural network model includes: establishing a convolutional neural network model and setting convolutional layers, pooling layers, fully connected layers, and output layers: setting the size of the convolutional kernel of the convolutional layer to 4*4 and the number to k; k = the number of hook fault categories + 1; setting the output layer to have k nodes; setting the loss function of each layer of the neural network model to the softmax function; after labeling the normal and faulty hook images with the fault types, associating the normal hook images and the hook images with the faulty types with k nodes respectively, inputting them into the neural network model for training, calculating the loss value of the training result using the loss function, and adjusting the parameters of the neural network model using the gradient descent method; when the loss function of the neural network model converges, the model training is completed.

[0016] A communication control system and method for an electric sling provided by an embodiment of the present application. Through an automated communication and control process, the transmission and execution of instructions are automatically completed by the system, reducing the risk of operation errors and safety accidents caused by human factors; through the application of a wireless transmission module, control signals and video signals can be stably and quickly transmitted between the support frame and the sling, reducing wiring complexity and maintenance costs, while improving the flexibility and scalability of the system; the monitoring camera captures the hook image in real time and transmits the video signal to the monitoring background end of the main station control module through the wireless transmission module, enabling the staff to understand the working state of the sling and the closing condition of the hook in real time, improving the safety and efficiency of the operation; and through the neural network model, the hook image is automatically identified for fault classification and alarm, and faults such as cracks, deformations, fractures, and excessive wear of the hook can be detected in a timely manner, further ensuring the stability and reliability of the operation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings: Figure 1 is the internal structure diagram of a communication control system for an electric sling provided by an embodiment of the present application; Figure 2 is the flowchart of a communication control method for an electric sling provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0019] An embodiment of the present application provides a wireless communication control system for an electric sling to solve the technical problems of low efficiency and high safety hazards caused by manual inspection of the hook state, and difficult wiring and high maintenance costs of traditional wired communication methods in complex environments.

[0020] The technical solutions proposed in the embodiments of the present application will be described in detail below with reference to the drawings.

[0021] Figure 1 is the internal structure diagram of a communication control system for an electric sling provided by an embodiment of the present application. As Figure 1As shown in the figure, a communication control system for an electric sling provided by an embodiment of the present application specifically includes: A master station control module, a support frame control module, a slave station execution module, and a wireless transmission module.

[0022] The master station control module is connected to the support frame control module arranged on the support frame through PN communication. The support frame control module is connected to the wireless transmission module through PN communication. The wireless transmission module is connected to the slave station execution module arranged on the sling.

[0023] Specifically, the master station control module includes a master station control PLC, a sling control PLC, a sling rotation frequency converter, a monitoring background terminal, and an alarm.

[0024] The master station control PLC is connected to the sling control PLC and the monitoring background terminal through DP communication; the monitoring background terminal is connected to the alarm through a line; the sling control PLC is connected to the sling rotation frequency converter through DP communication.

[0025] Specifically, the support frame control module includes a support frame control PLC.

[0026] Specifically, the wireless transmission module includes a support frame wireless device and a sling wireless device.

[0027] Further, the support frame wireless device of the wireless transmission module includes: a master station network switch, a network master base station, a master receiver, and a master transmitter.

[0028] Further, the sling wireless device includes: a slave station network switch, a network slave base station, a slave receiver, and a slave transmitter.

[0029] Specifically, the master station network switch is connected to the network master base station through a line. The network master base station is respectively connected to the master receiver and the master transmitter through lines; the slave station network switch is connected to the network slave base station through a line. The network slave base station is respectively connected to the slave receiver and the slave transmitter through lines; the master receiver and the slave transmitter are connected through wireless communication, and the slave receiver and the master transmitter are connected through wireless communication.

[0030] Among them, both the master station network switch and the slave station network switch are provided with a first local area network interface port and a second local area network interface. The first local area network interface port is used to transmit control signals containing instructions, and the second local area network interface port is used to transmit video signals of a monitoring camera.

[0031] In one embodiment of the present application, the support frame control PLC is connected to the spreader control PLC in the master station control module through PN communication, and is connected to the support frame wireless device in the wireless transmission module through PN communication; the support frame wireless device is connected to the spreader wireless device through wireless TCP communication; the spreader wireless device is connected to the slave station execution module through PN communication.

[0032] In the embodiment of the present application, the application of the wireless transmission module enables the control signal and the video signal to be stably and quickly transmitted between the support frame and the spreader, reducing the wiring complexity and maintenance cost, and at the same time improving the flexibility and scalability of the system.

[0033] Specifically, the slave station execution module includes a spreader execution PLC, a spreader rotary encoder, and a monitoring camera.

[0034] The spreader execution PLC is connected to the spreader rotary encoder and the monitoring camera through lines respectively.

[0035] Among them, the spreader rotary encoder is used to detect the actual rotation angle of the spreader, and transmit the actual rotation angle to the spreader control PLC through the wireless transmission module.

[0036] The monitoring camera is used to transmit the spreader picture in real time.

[0037] In one embodiment of the present application, after the spreader control PLC in the master station execution module controls the spreader to execute the spreader rotation instruction, the spreader rotary encoder detects the actual rotation angle of the spreader, and transmits the actual rotation angle to the spreader control PLC through the wireless transmission module.

[0038] The spreader control PLC compares the actual rotation angle with the required rotation angle of the spreader rotation instruction. When the difference between the actual rotation angle and the required rotation angle is greater than the preset error value, the spreader control PLC sends an alarm message of "spreader rotation angle error" to the master station control PLC of the master station control module.

[0039] The master station control PLC sends an alarm to the operator through the alarm connected to the monitoring background end.

[0040] That is to say, through the spreader rotary encoder, the present application can accurately detect the actual rotation angle of the spreader, and compare it with the required rotation angle to ensure the accuracy of the spreader rotation. When there is a large error between the actual rotation angle and the required angle, the system will send an alarm to remind the operator to check and adjust.

[0041] In one embodiment of the present application, the slave station control module further includes a proximity metal sensor provided on the hook.

[0042] The proximity metal sensor is connected to the spreader execution PLC to confirm whether the hook is closed in place.

[0043] After the spreader execution PLC of the slave station execution module controls the spreader to execute the hook opening and closing instruction, the spreader execution PLC confirms whether the hook is closed in place through the sensing data of the proximity metal sensor. When the hook is not closed in place, the spreader execution PLC sends an alarm message of "hook not closed" to the master station control PLC of the master station control module.

[0044] In the embodiment of the present application, the proximity metal sensor is used to detect the closed state of the hook in real time, ensuring that the hook is firmly closed during the lifting process. This avoids the falling, damage or safety accidents of the items caused by the unclosed hook, significantly improves the safety of the operation, reduces the errors and omissions caused by human factors, and improves the accuracy and efficiency of the operation.

[0045] The above is the system embodiment proposed by the present application. Based on the same inventive concept, the embodiment of the present application also provides a communication control method for an electric spreader.

[0046] Figure 2 As shown in the flowchart of a communication control method for an electric spreader provided by the embodiment of the present application, Figure 2 The method includes: S01. The master station control PLC of the master station control module receives the instruction of the staff and sends the instruction to the spreader control PLC.

[0047] S02. When the instruction is an instruction for the spreader to rotate, the spreader control PLC controls the spreader to rotate through the spreader rotation frequency converter.

[0048] S03. When the instruction is an instruction for the spreader hook to open and close, the master station control PLC sends the hook opening and closing instruction to the support frame control module; S04. The support frame control PLC of the support frame control module transmits the hook opening and closing instruction to the slave station execution module through the wireless transmission module; S05. The spreader execution PLC of the slave station execution module controls the spreader to execute the hook opening and closing instruction, and transmits the hook picture captured by the monitoring camera to the monitoring background end in the master station control module through the wireless transmission module in real time.

[0049] S06. After preprocessing the hook picture, the monitoring background end judges whether there is a preset fault type of the hook through the trained neural network model. If the hook has a fault, an alarm is given through a preset alarm; wherein, the fault categories include: crack, plastic deformation, cross section and wear.

[0050] Specifically, the preprocessing of the hook picture by the monitoring background end includes: S101. Convert the hook image into a grayscale image.

[0051] S102. Calculate the average grayscale value of the eight adjacent neighborhood pixels of each pixel in the image, and replace the grayscale value of the pixel with the average value to denoise the grayscale image. S103. Use the histogram equalization algorithm to enhance the contrast of the grayscale image.

[0052] That is to say, by preprocessing the received image, the present application makes the image easier to recognize in subsequent model classification, improving the efficiency of image recognition.

[0053] Specifically, the training process of the neural network model includes: S201. Establish a convolutional neural network model, and set the convolutional layer, pooling layer, fully connected layer, and output layer: S202. Set the size of the convolutional kernel of the convolutional layer to 4*4, and the number to k; k = the number of hook fault categories + 1; S203. Set the output layer to have k nodes; S204. Set the loss function of each layer of the neural network model to the softmax function; S205. After labeling the normal and faulty hook pictures with fault types, associate the normal hook pictures and the hook pictures with fault types with k nodes respectively, input them into the neural network model for training, calculate the loss value using the loss function for the training results, and use the gradient descent method to adjust the parameters of the neural network model. S206. When the loss function of the neural network model converges, the model training is completed.

[0054] Each embodiment in the present application is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0055] The systems and media provided by the embodiments of the present application correspond one-to-one with the methods. Therefore, the systems and media also have beneficial technical effects similar to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be elaborated here.

[0056] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0057] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the flows and / or blocks in the flowchart and / or block diagram can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0058] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0059] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0060] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0061] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

[0062] A computer-readable medium includes both permanent and non-permanent, removable and non-removable media and can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer-readable medium does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0063] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0064] The above description is only for the embodiments of the present application and is not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A communication control system for an electric spreader, characterized in that: The system comprises: Master station control module, support frame control module, slave station execution module and wireless transmission module; The master station control module is connected to the support frame control module arranged on the support frame through PN communication, the support frame control module is connected to the wireless transmission module through PN communication, and the wireless transmission module is connected to the slave station execution module arranged on the spreader.

2. A communication control system for an electric spreader as claimed in claim 1, characterized in that: The master station control module includes: master station control PLC, spreader control PLC, spreader rotation inverter, monitoring backend and alarm; The master station control PLC is connected to the spreader control PLC and the monitoring backend via DP communication; The monitoring backend is connected to the alarm through a line; The spreader control PLC is connected to the spreader rotation inverter via DP communication.

3. A communication control system for an electric spreader as claimed in claim 2, characterized in that: The support frame control module includes a support frame control PLC; the wireless transmission module includes a support frame wireless device and a hanger wireless device; The support frame control PLC is connected to the spreader control PLC in the master station control module through PN communication, and is connected to the support frame wireless device in the wireless transmission module through PN communication; The support frame wireless device is connected to the spreader wireless device via wireless TCP communication; the spreader wireless device is connected to the slave station execution module via PN communication.

4. A communication control system for an electric spreader as claimed in claim 3, characterized in that: The slave control module includes a spreader execution PLC, a spreader rotary encoder and a monitoring camera; The spreader execution PLC is connected to the spreader rotary encoder and the monitoring camera through lines respectively; The spreader rotary encoder is used to detect the actual rotation angle of the spreader, and transmit the actual rotation angle to the spreader control PLC through the wireless transmission module; The monitoring camera is used to transmit the lifting equipment image in real time.

5. A communication control system for an electric spreader as claimed in claim 4, characterized in that: The wireless equipment of the support frame of the wireless transmission module includes: a main station network switch, a network main base station, a main receiver and a main transmitter; The wireless equipment of the spreader includes: a slave network switch, a network slave base station, a slave receiver and a slave transmitter; The master station network switch is connected to the network master base station through lines, and the network master base station is connected to the master receiver and the master transmitter through lines respectively; The slave station network switch is connected to the network slave base station through lines, and the network slave base station is connected to the slave receiver and the slave transmitter through lines respectively; The master receiver and the slave transmitter are connected via wireless communication, and the slave receiver and the master transmitter are connected via wireless communication.

6. A communication control system for an electric spreader as claimed in claim 5, characterized in that: include: The master station network switch and the slave station network switch are both provided with a first LAN interface port and a second LAN interface port, wherein the first LAN interface port is used to transmit a control signal containing instructions, and the second LAN interface port is used to transmit a video signal of a surveillance camera.

7. A communication control system for an electric spreader as claimed in claim 4, characterized in that: The slave station control module also includes a proximity metal sensor arranged on the hook; The proximity metal sensor is connected to the lifting device execution PLC to confirm whether the hook is closed in place; After the hoist execution PLC of the slave station execution module controls the hoist to execute the hook opening and closing instruction, the hoist execution PLC confirms whether the hook is closed in place through the sensor data of the proximity metal sensor. When the hook is not closed in place, the hoist execution PLC sends an alarm message of "hook is not closed" to the master station control PLC of the master station control module.

8. A communication control method for an electric spreader, based on the system according to any one of claims 1 to 7, characterized in that: The method comprises: The master station control PLC of the master station control module receives the instructions from the staff and sends the instructions to the spreader control PLC; When the instruction is an instruction for the spreader to rotate, the spreader control PLC controls the spreader to rotate via the spreader rotation inverter; When the instruction is an instruction for opening and closing the hook of the spreader, the master station controls the PLC to send the hook opening and closing instruction to the support frame control module; The support frame control PLC of the support frame control module transmits the hook opening and closing instructions to the slave station execution module through the wireless transmission module; The lifting device of the slave station execution module executes the PLC to control the lifting device to execute the hook opening and closing instructions, and transmits the hook image captured by the monitoring camera to the monitoring backend in the master station control module in real time through the wireless transmission module; After the monitoring backend pre-processes the hook image, it determines whether the hook has a preset fault type through the trained neural network model. If the hook fails, an alarm is sounded through a preset alarm; wherein the fault categories include: cracks, plastic deformation, cross-sections and wear.

9. A communication control method for an electric spreader as claimed in claim 8, characterized in that: The monitoring backend performs pre-processing on the hook image, including: Convert the hook image to grayscale; Calculate the average grayscale value of eight neighboring pixels of each pixel in the image, and use the average grayscale value to replace the grayscale value of the pixel, so as to perform denoising on the grayscale image; A histogram equalization algorithm is used to enhance the contrast of the grayscale image.

10. The communication control method of an electric spreader according to claim 8, characterized in that: The training process of the neural network model includes: Build a convolutional neural network model and set the convolution layer, pooling layer, fully connected layer and output layer: Set the size of the convolution kernel of the convolution layer to 4*4 and the number to k; k = the number of hook fault categories + 1; Set the output layer to have k nodes; Set the loss function of each layer of the neural network model to the softmax function; After marking the fault types of the normal and faulty pictures of the hook, the normal hook pictures and the pictures of the hook with fault types are associated with k nodes respectively, input into the neural network model for training, and the loss function is used to calculate the loss value of the training results, and the gradient descent method is used to adjust the parameters of the neural network model; When the loss function of the neural network model converges, the model training is completed.

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