Safety monitoring device for loading heavy goods
By combining cameras, sensors, and edge computing, the system monitors the deviation of heavy freight on railways in real time, solving the problems of large errors and low accuracy in manual detection in existing technologies. This enables efficient real-time monitoring and early warning, improving transportation safety and efficiency.
Patent Information
- Application Number
- CN202520318768.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2025-12-30
- Estimated Expiration
- 2035-02-26
AI Technical Summary
In existing technologies, the detection of the center of gravity shift of heavy cargo during railway transportation relies on manual observation, which has large errors and low accuracy, cannot achieve real-time dynamic monitoring, and cannot effectively reduce safety risks during transportation.
The device employs a combination of cameras, sensor modules, and control alarm modules. By acquiring cargo images and sensor data in real time, it uses an edge calculator for real-time analysis to determine cargo deviation and issue an alarm when the deviation exceeds a threshold. Support arms and legs improve the stability of the device, while electro-hydraulic presses and folding components enhance adaptability.
It enables high-precision real-time monitoring and early warning of heavy cargo, reducing transportation risks, improving transportation safety and efficiency, and lowering transportation costs.
Smart Images

Figure CN223741496U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model relates to railway intelligent transportation technical field especially, relate to a kind of loading heavy cargo safety monitoring device. BACKGROUND
[0002] Heavy cargo in railway transportation, such as coiled steel, steel plate, is difficult to fix due to large weight and concentrated gravity, and if gravity shift or sliding occurs during transportation, it is easy to cause vehicle instability and even derailment, seriously threatening the safety of railway transportation. Taking coiled steel as an example, if such goods are off-loaded in a container, there is a high security risk.
[0003] However, the detection means for gravity shift of heavy cargo in the current railway transportation process is relatively backward, and still mainly relies on manual observation and manual measurement. The operator usually judges whether the placement of the goods in the container is centered by visual inspection, and if a shift is found, the operator needs to be notified to adjust through the intercom device. This visual inspection method not only has a large error, but also the operator's judgment is affected by subjective factors, making it difficult to achieve high-precision detection. The existing detection means not only has low efficiency and poor precision, but also cannot realize real-time dynamic monitoring during transportation, cannot effectively reduce the safety risk during transportation, and cannot meet the demand of real-time monitoring and early warning of gravity shift of heavy cargo in railway transportation. SUMMARY
[0004] In order to overcome the above-mentioned shortcomings that the existing technology cannot detect during loading, and cannot meet the real-time monitoring demand in the whole process of railway transportation, the main purpose of the utility model is to provide a loading heavy cargo safety monitoring device.
[0005] To achieve the above-mentioned purpose, the utility model adopts the following technical scheme, a loading heavy cargo safety monitoring device, comprising:
[0006] a sandwich box;
[0007] a camera, which is telescopically provided on the top of the sandwich box;
[0008] a plurality of telescopic support arms, which are symmetrically and fixedly provided on both sides of the sandwich box and telescopically connected with both sides of the sandwich box;
[0009] a sensor module, which is detachably provided on the outer wall of the sandwich box;
[0010] a control alarm module, which is provided in the sandwich box, is used for receiving the image of the measured goods collected by the camera and the sensor data emitted by the sensor module in real time, judging whether the measured goods move according to the image of the measured goods and the sensor data, and emitting an alarm signal when the judgment result is moving.
[0011] Two support legs are symmetrically arranged at the lower end of the sandwich box, and one end of each of the two support legs is hinged to the lower end of the sandwich box.
[0012] Further, the lower end of the sandwich box is transversely provided with a receiving groove, and one end of each of the two support legs is hinged to the end face of the two ends in the receiving groove.
[0013] Two sets of folding assemblies are symmetrically arranged in the receiving groove and are hinged to the two support legs, respectively.
[0014] Further, a plurality of electronic hydraulic machines are arranged, the camera is telescopically connected to the top of the sandwich box through the electronic hydraulic machine, and each of the plurality of telescopic support arms is telescopically connected to the sandwich box through a corresponding electronic hydraulic machine.
[0015] Further, the control alarm module comprises a wireless transmission assembly, an edge calculator and an alarm.
[0016] The wireless transmission module is used for receiving the image of the measured goods collected by the camera, the sensor data sent by the sensor module and the alarm instruction sent by the edge calculator, and transmitting the alarm instruction to the alarm.
[0017] The edge calculator is arranged in the sandwich box and is used for processing the image data collected by the camera and the sensor data sent by the sensor module, obtaining the position of the measured goods, comparing the position with the initial position of the measured goods, obtaining the offset result, comparing the offset result with the set offset threshold, judging whether to send the control instruction to the wireless transmission assembly, and sending the alarm instruction when the offset result is greater than the set offset threshold.
[0018] The alarm receives the alarm instruction sent by the wireless transmission module, and sends an alarm signal according to the alarm instruction.
[0019] Further, the sensor module comprises two wireless ultrasonic sensors, and the two wireless ultrasonic sensors are fixed on the two side walls in the container loaded with the measured goods through magnetic attraction, respectively.
[0020] Further, the sandwich box is provided with an operation window, and the operation window is hinged with a cover plate.
[0021] Compared with the prior art, the utility model has the beneficial effects that:
[0022] The utility model discloses a device for real-time monitoring and controlling the loading of railway containers, which can improve the safety and efficiency of the loading process.
[0023] The design and application of the entire device significantly improve the safety of the railway container loading process, reducing the transportation risks caused by cargo displacement. By reducing transportation accidents and improving transportation efficiency, the device helps to reduce transportation costs and improve economic benefits. In summary, the device not only improves the safety of cargo transportation, but also improves the transportation efficiency through intelligent monitoring and data processing, with significant technical effects and practical value. BRIEF DESCRIPTION OF DRAWINGS
[0024] The accompanying drawings, which are incorporated herein and constitute a part of the specification, illustrate the illustrative embodiments of the present application and their description serves to explain the present application, but do not constitute an improper limitation on the present application.
[0025] Figure 1 The device structure diagram of the utility model discloses a device structure diagram;
[0026] Figure 2 The working front view structure diagram of the utility model discloses a working front view structure diagram.
[0027] 1. Sandwich box, 2. Camera, 3. Telescopic support arm, 4. Support leg, 5. Cover plate, 6. Power supply. DETAILED DESCRIPTION
[0028] At present, the detection means for the center of gravity deviation of heavy cargo in the railway transportation process is relatively backward, and still mainly relies on manual observation and manual measurement. The operator usually judges whether the placement of the goods in the container is centered by visual observation. If deviation is found, the operator needs to be notified to adjust through the intercom device. This visual observation method not only has a large error, but also the judgment of the operator is affected by subjective factors, and it is difficult to realize high-precision detection. The existing detection means not only has low efficiency and poor precision, but also cannot realize real-time dynamic monitoring in the transportation process, cannot effectively reduce the safety risk in the transportation process, and cannot meet the demand of real-time monitoring and early warning of the center of gravity deviation of heavy cargo in railway transportation.
[0029] In order to overcome the above-mentioned shortcomings that the existing detection cannot be carried out during loading, so that the real-time monitoring demand in the whole process of railway transportation cannot be met, the main purpose of the present application is to provide a loading heavy cargo safety monitoring device, which is Figures 1-2 The device comprises a clamping camera layer 1; a camera 2 is telescopically arranged on the top of the clamping layer box 1; a plurality of telescopic supporting arms 3 are symmetrically fixed on the two sides of the clamping layer box 1 and are telescopically connected with the two sides of the clamping layer box 1; a sensor module is detachably arranged on the outer side wall of the clamping layer box 1; a control alarm module is arranged in the clamping layer box 1, which is used for receiving the collected images of the measured goods and the sensor data emitted by the sensor module in real time, judging whether the measured goods move according to the images of the measured goods and the sensor data, and emitting an alarm signal when the judgment result is moving. The program for judging the movement of the goods in the control alarm module belongs to the prior art, and therefore will not be specifically explained.
[0030] In the description of the present application, it should be pointed out that, unless otherwise explicitly specified and limited, the terms "installation", "provided with", "connection" and the like should be understood in a broad sense, for example, "connection" can be fixed connection, can also be detachable connection, or integral connection; can be mechanical connection, can also be electrical connection; can be directly connected, can also be indirectly connected through an intermediate medium, and can be the communication between two elements. For ordinary skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.
[0031] The present application will be further described below in combination with the drawings and embodiments.
[0032] Embodiment 1:
[0033] The specific composition and working principle of the loading heavy cargo safety monitoring device are as follows:
[0034] The sandwich box 1 is made of high-strength aluminum alloy material, with the characteristics of light weight, high strength and corrosion resistance. The size of the box is 1200mm×800mm×600mm, and the inside is divided into two main parts: the equipment cabin and the battery cabin. The equipment cabin is used to install electronic devices such as edge calculator, wireless transmission and alarm module, power supply 6; the battery cabin is used to place backup batteries to ensure that the device can still work normally without external power supply.
[0035] The camera 2 adopts a 360-degree rotating high-definition camera with 30 times optical zoom and 120-degree wide-angle view. The camera 2 is connected to the top of the sandwich box 1 through an electronic hydraulic machine 5, which can realize a vertical telescopic range of 0-2 meters to adapt to the monitoring of goods of different heights.
[0036] Each telescopic support arm 3 is made of stainless steel and has a built-in hydraulic cylinder controlled by the electronic hydraulic machine 5. After the telescopic support arm 3 is extended, its end has an adjustable clamp that can be firmly fixed to the side wall of the container.
[0037] The support leg 4 adopts a foldable telescopic design for easy storage, is made of high-strength alloy steel, and has a locking mechanism to ensure stable support of the sandwich box 1 after unfolding.
[0038] The electronic hydraulic machine 5 is used to control the action of the camera 2 and the telescopic support arm 3, and uses 24V DC power supply with overload protection and temperature control function.
[0039] The edge calculator has a built-in high-performance processor running the deep learning algorithm YOLOv8 for real-time processing of image data collected by the camera 2. The calculator has 2GB RAM and 32GB storage space, supporting 4K video input and processing.
[0040] The wireless transmission and alarm module includes a 4G / 5G communication module, a Wi-Fi module and a Bluetooth module, which is used to transmit monitoring data and alarm signals to mobile terminal equipment. The alarm module has LED indicator light and buzzer for on-site alarm prompt.
[0041] The power supply system includes a built-in 220V to 24V transformer and a 12V 50Ah lithium battery pack, which ensures that the device can work for at least 8 hours in case of power failure.
[0042] The sensor in this embodiment is a wireless ultrasonic sensor, which uses high-precision ultrasonic measurement method, with a range of 0.05-4.5 meters and an accuracy of ±1mm, and is fixed on both sides of the container by magnetic attraction.
[0043] The mobile terminal equipment can be a smartphone or tablet computer equipped with a special application program for receiving real-time monitoring data and alarm information.
[0044] According to the above principles and specific structures, the operation steps during use are as follows:
[0045] Place the sandwich box 1 in the central position inside the container, unfold the support legs 4 and lock them to ensure the stability of the device. Control the extension of the telescopic support arm 3 through the electronic hydraulic machine 5, and fix the clamp on the side wall of the container. Start the camera 2, adjust the height and angle of the camera 2 through the control of the electronic hydraulic machine, and ensure that the overall appearance of the goods can be clearly captured. The edge calculator performs self-checking, initializes the deep learning model YOLOv8, and establishes a connection with the camera 2 and the ultrasonic sensor. The edge calculator starts to receive image data collected by the camera 2 and distance data collected by the ultrasonic sensor. The edge calculator pre-processes the image data, including denoising, contrast enhancement and image flipping, etc., and then uses the YOLOv8 model for feature extraction and analysis, combined with ultrasonic data, to identify the position of the goods and calculate the offset. The program of the edge calculator for image data processing belongs to the prior art, and will not be specifically explained in this embodiment.
[0046] When the offset of the detected object exceeds the preset threshold, for example, exceeds 10 cm, the wireless transmission and alarm module is activated, sends alarm information to the mobile terminal device through the 4G / 5G network, and starts the on-site LED indicator light and buzzer alarm.
[0047] After receiving the alarm information, the staff checks the real-time image and offset data through the mobile terminal device, and guides the on-site operator to adjust the goods.
[0048] Through the above detailed embodiments, the device can realize accurate monitoring and real-time warning of the loading of heavy goods in railway containers, greatly improving the safety and efficiency of railway transportation.
[0049] Embodiment 3:
[0050] Referring to Figure 1 The utility model embodiment provides a kind of loading heavy goods safety monitoring device, and the monitoring device mainly includes: telescopic camera 2, sandwich box 1, telescopic support arm 3, foldable support leg 4 module, electronic hydraulic machine, edge calculator, wireless transmission and alarm module, power supply 6, wireless ultrasonic sensor and mobile terminal device.
[0051] As Figure 1, as shown in the figure, the application comprises a retractable camera 2, four retractable hydraulic support arms 3 fixed outside the sandwich box 1; the wireless transmission and alarm module, edge calculator, power supply 6, wire are fixed inside the sandwich box 1; two foldable support legs 4 are fixed at the bottom of the sandwich box 1; a cover plate 5 is installed on the surface of the sandwich box 1 to protect the internal equipment from external extrusion.
[0052] As Figure 2 , the specific situation of the device when working.
[0053] When monitoring the goods, the support legs 4 at the bottom of the sandwich box 1 are opened, the retractable support arms 3 on both sides of the sandwich box 1 are stretched outwards by the electronic hydraulic machine, and the device can be fixed inside the container without shaking. The retractable camera 2 can adjust the appropriate height according to the type of goods and the type of container to monitor the heavy goods.
[0054] In this embodiment, the mobile terminal can be a mobile phone, a tablet, a notebook computer, a VR device, etc.; the staff can remotely monitor the container goods unbalanced load condition through the mobile terminal; the VR technology is prior art, which is not described in detail in this embodiment.
[0055] In a specific embodiment, the camera uses a prior art product, which is an infrared explosion-proof high-definition network AI camera with a protection level of IP68. The camera adopts an aluminum alloy shell suitable for harsh environments and can be used day and night. It is durable and has a smart detection module. It has image target intelligent detection function and can detect the loading position of goods, monitor the accuracy of the loading position of goods and the unbalanced load in real time, and transmit the monitoring situation to the edge calculator.
[0056] In a specific embodiment, the edge calculator uses an ARM architecture processor with the advantages of high performance, low power consumption and small size, and supports RS-485, Di and Do ports, and reserves interfaces for GPS, ZigBee, BLE, NB-IoT and MODBUS, so as to facilitate the expansion of subsequent functions.
[0057] The specific process of executing the program on the edge calculator is to effectively expand the training data set by enhancing the image data of the goods in the container, such as random contrast adjustment, Gaussian noise addition, image flipping, etc., to ensure that the model can adapt to various complex transportation environments. The YOLOv8 model accurately identifies the position of the goods by analyzing the image features and combining the distance data collected by the ultrasonic sensor to determine whether the goods are unbalanced. The device can accurately detect the deviation of the goods and ensure real-time monitoring and risk warning of the center of gravity deviation during transportation. The program executed on the edge calculator belongs to the prior art and can be set according to actual needs, which is not described in detail in this embodiment.
[0058] It should be noted that in the present application, the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.
[0059] The above examples are only illustrative of the present application and do not constitute a limitation on the scope of protection of the present application, and any design identical or similar to the present application falls within the scope of protection of the present application.
Claims
1. A load weight cargo safety monitoring device, characterized by, The utility model relates to a kind of container for monitoring goods, including: Interlayer box (1); Camera (2), collapsible top of the interlayer box (1) is provided; Multiple telescopic support arms (3), symmetrically fixed to the both sides of the interlayer box (1), and the both sides of the interlayer box (1) are telescopically connected; Sensor module, detachably provided on the outer wall of the interlayer box (1); Control alarm module, provided in the interlayer box (1), for receiving the image of the measured goods collected by the camera (2) Sensor module, and the control alarm module judges whether the measured goods moves according to the image of the measured goods and sensor data, and the control alarm module sends alarm signal when the result of judgment is moving.
2. The loaded bulk cargo safety monitoring apparatus of claim 1, wherein, Further comprising: Two support legs (4), symmetrically provided at the lower end of the interlayer box (1), and one end of the two support legs (4) is respectively hinged to the lower end of the interlayer box (1).
3. The loaded bulk cargo safety monitoring apparatus of claim 2, wherein, The lower end of the interlayer box (1) is transversely provided with a receiving groove, and one end of the two support legs (4) is respectively hinged to the end face of the both ends in the receiving groove; Two sets of folding assemblies, symmetrically provided in the receiving groove, and respectively hinged to the two support legs (4).
4. The loaded bulk cargo safety monitoring apparatus of claim 1, wherein, Further comprising a plurality of electronic hydraulic machines, the camera (2) is telescopically connected with the top of the interlayer box (1) through the electronic hydraulic machine, and the plurality of telescopic support arms (3) are respectively telescopically connected with the interlayer box (1) through the corresponding electronic hydraulic machine.
5. The loaded bulk cargo safety monitoring apparatus of claim 1, wherein, The control alarm module comprises a wireless transmission assembly, an edge calculator and an alarm module. The wireless transmission module is used for receiving the image of the measured goods collected by the camera (2), the sensor data sent by the sensor module and the alarm instruction sent by the edge calculator, and transmitting the alarm instruction to the alarm. The edge calculator is located in the interlayer box (1) and is used for processing the image data collected by the camera (2) and the sensor data sent by the sensor module, obtaining the position of the measured goods, comparing with the initial position of the measured goods, obtaining the offset result, comparing the offset result with the set offset threshold, and determining whether to send the control instruction to the wireless transmission assembly. When the offset result is greater than the set offset threshold, the edge calculator sends the alarm instruction.
6. The loaded bulk cargo safety monitoring apparatus of claim 1, wherein, The alarm module receives the alarm instruction sent by the wireless transmission module, and the alarm sends the alarm signal according to the alarm instruction.
7. The loaded bulk cargo safety monitoring apparatus of claim 1, wherein, The sensor module comprises two wireless ultrasonic sensors, which are respectively fixed on the two side walls in the container for loading the measured goods by magnetic attraction.
8. The loaded bulk cargo safety monitoring apparatus of claim 1, wherein, The interlayer box (1) is provided with an operation window, and the operation window is hinged with a cover plate (5). The sensor module is a wireless ultrasonic sensor, which is fixed on the outer wall of the interlayer box (1) by a magnetic attraction member.