Cargo identification method, computer equipment and cargo monitoring system

Abstract

The invention discloses a cargo identification method, computer equipment and a cargo monitoring system, and relates to the technical field of cargo identification, the cargo identification system comprises a cargo identification end, a cargo monitoring end and a capturing and positioning end, the cargo identification end is used for performing approximate contour judgment in real time according to collected features, identifying the approximate contour of the cargo, and capturing and positioning the approximate contour of the cargo; the cargo monitoring end is used for predicting the current moving path of the cargo in real time, and the capturing and positioning end is used for carrying out real-time positioning display on the current position of the cargo regularly by capturing the current position of cargo transportation in real time and feeding back the transportation state of the cargo according to the updated positioning display. According to the cargo identification method, the computer equipment and the cargo monitoring system, the approximate contour of the cargo can be accurately identified, the cargo is classified and identified, the classified and identified cargo is tracked in real time, whether the moving path of the cargo deviates or not is accurately judged, the real-time position of cargo transportation can be captured in the whole process, and the cargo monitoring efficiency is improved. And delayed display of the positioning information of cargo transportation is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of cargo identification, and in particular to a cargo identification method, a computer device and a cargo monitoring system. Background Art

[0002] Cargo originally refers to tortoise shells, which were used as currency in ancient times, items or commodities for sale, especially commodities transported by ships by transportation companies. With the rapid development of science and technology, the application of cargo identification technology and cargo monitoring technology is becoming more and more common.

[0003] Patent No. CN202311034513.X discloses a logistics cargo identification and sorting method and system based on deep learning, specifically involving a logistics cargo identification and sorting method based on deep learning. The cargo is transported through a cargo conveyor belt, and the camera takes real-time photos of the cargo on the cargo conveyor belt, and transmits the data to a deep learning logistics cargo detection and identification platform in real time; the data is processed and analyzed according to the deep learning logistics cargo detection and identification platform, and the data results are sent to the sorting module; it not only realizes automated cargo management, but also greatly improves transportation efficiency and accuracy; it also supports the data storage of cargo transportation routes, and increases the subsequent management and traceability of cargo during the journey.

[0004] After searching the above patents, it was found that the following deficiencies exist in cargo identification and cargo monitoring: 1. Due to the different types of cargo, it is impossible to accurately identify the approximate outline of the cargo when classifying different types of cargo, resulting in weak accuracy in cargo identification, affecting the cargo identification effect; 2. Since the cargo needs to be moved in time after logistics or classification, but the path movement of the cargo cannot be monitored and tracked in real time, it is impossible to accurately determine whether the movement path of the cargo deviates, resulting in real-time monitoring of the current transportation status of the cargo is prone to deviations, and the transportation path of the cargo cannot be predicted in real time; 3. Since the real-time position of the cargo transportation cannot be captured throughout the entire process during logistics transportation, the positioning of the cargo cannot be displayed in real time. At the same time, when the positioning of the cargo is abnormal, the abnormal position cannot be identified in real time, resulting in delayed display of the positioning information of the cargo transportation.

[0005] Therefore, a cargo identification method, a computer device and a cargo monitoring system are proposed to solve the above problems. Summary of the invention

[0006] The main object of the present invention is to provide a cargo identification method, a computer device and a cargo monitoring system to solve the problems raised in the above background.

[0007] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a cargo identification method, a computer device and a cargo monitoring system, including a cargo identification terminal, a cargo monitoring terminal and a capture and positioning terminal, wherein the cargo identification terminal, the cargo monitoring terminal and the capture and positioning terminal are jointly provided with a voice reminder module; The cargo identification terminal is used to collect features of different types of cargo in real time, and to determine the approximate contours of the cargo in real time based on the collected features, identify the approximate contours of the cargo, classify and mark the cargo, and track the classified and marked cargo in real time, determine whether the cargo has moved, and issue a voice reminder when the cargo has moved; The cargo monitoring terminal is used to monitor the path of the moving cargo in real time, predict the current moving path of the cargo in real time, predict the destination of the cargo, display the current moving path of the cargo in real time, and determine whether the current moving path deviates from the predicted destination path of the cargo. If there is a deviation, the destination of the cargo is predicted again until the cargo arrives safely. The capture and positioning terminal is used to capture the current position of the cargo transportation in real time, regularly display the current position of the cargo in real time, and use color marking to mark the cargo positioning information at the historical moment and the current moment in real time, update the cargo positioning display in real time, and feedback the cargo transportation status according to the updated positioning display; The voice reminder module is used to remind through a voice alarm and provide feedback for manual processing.

[0008] The cargo identification terminal includes a cargo collection module, a cargo identification module and a cargo identification module; The cargo collection module is used to collect surface feature information of cargo in real time through a video capture device to obtain image information of cargo; The cargo identification module is used to compare the cargo image information with the image information of different types of cargo stored in the system, and identify the approximate contours of the current cargo and the corresponding cargo in the system. The judgment steps are as follows: Step 1: Calculate the approximate contour of the feature points on the image information of the goods at the current moment , The calculation formula is as follows: ; in, Represents the distance moved by the pixel points in the area corresponding to the approximate outline of the goods in the t-1 system. represents the image information feature point of the goods detected at the current moment, and M represents the serial number of the image information feature point of the goods tracked at the current moment; Step (2): By moving the pixel points on the known path at time t-1 , the approximate outline of the goods in the image information of the goods at time t can be obtained.

[0009] The cargo identification module includes a cargo identification unit, a cargo tracking unit and a mobile warning unit; The cargo identification unit is used to color-identify the cargo after the approximate outline is determined; The cargo tracking unit is used to track the basic data of the cargo at the current moment in real time through a data tracker, the basic data including placement angle, location information and cargo quantity; The movement warning unit is used to calculate the difference between the basic data of the goods at the current moment and the basic data of the goods at the previous moment. If the difference = 0, it is judged that the goods have not moved. If the difference ≠ 0, it is judged that the goods have moved, and the reporting system issues a voice reminder.

[0010] The cargo monitoring terminal includes a cargo monitoring unit and a real-time recording unit; The cargo monitoring unit is used to monitor the cargo status at the current moment in real time through a monitor; The real-time recording unit is used to record the status of the goods at the current moment in real time through a data recorder.

[0011] The cargo monitoring module includes a cargo monitoring unit and a status display unit; The cargo monitoring unit is used to monitor whether the cargo moving path at the current moment deviates from the cargo transportation path. The monitoring steps are as follows: Step I: Set the basic center point of the cargo transportation route as the origin, establish a coordinate system, and calculate the moving distance of the route point of the cargo transportation route by the calculation formula: ; in, is the angle between the moving distance of the route point of the cargo transportation path and the positive direction of the X-axis, is the angle between the moving distance of the route point of the cargo transportation path and the positive direction of the Y axis, A is the height of the cargo, is the vector of the cargo in the X-axis direction, is the vector of the cargo in the Y-axis direction; Step II: Move the calculated route points of the cargo transportation path by an angle and Compare with the standard route point moving distance of the cargo transportation route, the standard displacement values ​​are set as O and M. as well as , then it is judged that the transportation path of the goods has deviated, if not, then it is judged that the transportation path of the goods has not deviated; The status display unit is used to visually display the transportation status of the goods in real time through a page display and a data tracker.

[0012] The cargo tracking module includes a cargo tracking unit and a cargo prediction unit; The cargo tracking unit is used to track the cargo transportation route at the current moment in real time through a data tracker; The cargo prediction unit is used to make a real-time prediction of the destination according to the movement path of the cargo at the current moment, and to predict the arrival time according to the destination.

[0013] The capture and positioning end includes a real-time capture module, a cargo positioning module and a positioning identification module; The real-time capture module is used to capture the transportation status of the goods at the current moment in real time through a timer; The cargo positioning module comprises a real-time positioning unit, and the real-time positioning unit is used to locate the position of the cargo at the current moment in real time through a locator and a timer.

[0014] The positioning identification module includes a positioning identification unit, a positioning update unit and an update feedback unit; The positioning identification unit is used to identify the cargo status captured at the current moment by color identification; The positioning update unit is used to update the current transportation path positioning information of the goods in real time through the information converter; The update feedback unit is used to feedback whether there is a deviation in the destination of the goods according to the current transportation path positioning information.

[0015] The cargo identification method comprises the following steps: Step 1: First, enter the data collection terminal, collect features of different types of goods, and make approximate contour judgments in real time based on the collected features, identify the approximate contours of the goods, classify and mark the goods, and track the classified and marked goods in real time to determine whether the goods have moved; Step 2: Enter the cargo monitoring terminal, monitor the path of the moving cargo in real time, and make a real-time prediction of the current moving path of the cargo, and determine in real time whether the current moving path deviates from the predicted destination path of the cargo, until the cargo arrives safely; Step 3: Enter the capture and positioning terminal, capture the current location of the cargo transportation in real time, and use color markings to identify the cargo positioning information at historical and current times, update the cargo positioning display in real time, and feedback the cargo transportation status based on the updated positioning display.

[0016] The present invention has the following beneficial effects: 1. In the present invention, by setting a cargo identification terminal, when identifying different types of cargo, by collecting features of different types of cargo in real time, and judging the approximate contour in real time based on the collected features, the approximate contour of the cargo can be accurately identified, and the cargo can be classified and marked at the same time, and the classified and marked cargo can be tracked in real time. When classifying different types of cargo, the cargo identification effect is increased and the limitations of cargo identification are reduced.

[0017] 2. In the present invention, by setting up a cargo monitoring terminal, when identifying different types of cargo, the path of the moving cargo is monitored in real time, and the destination of the cargo is predicted, the current moving path of the cargo is displayed in real time, and it is determined whether the current moving path deviates from the predicted destination path of the cargo, so that the path movement of the cargo can be monitored and tracked in real time, avoiding deviations in the real-time monitoring of the current transportation status of the cargo, and at the same time, the transportation path of the cargo can be predicted in real time, thereby increasing the accuracy of the cargo transportation path prediction.

[0018] 3. In the present invention, by setting a capture and positioning terminal, when identifying different types of goods, by capturing the current position of the goods transportation in real time, and by using color marking to mark the positioning information of the goods at historical moments and the current moment in real time, the real-time position of the goods transportation can be captured throughout the whole process, so that the positioning of the goods can be displayed in real time, and the transportation status of the goods can be fed back according to the updated positioning display, and abnormal positions can be marked in real time to avoid delayed display of the positioning information of the goods transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic diagram of the system architecture of the cargo identification method, computer equipment and cargo monitoring system of the present invention; Figure 2 It is a schematic diagram of the structure of the cargo identification method, computer equipment and cargo identification terminal of the cargo monitoring system of the present invention; Figure 3 It is a schematic diagram of the structure of the cargo identification method, computer equipment and cargo monitoring end of the cargo monitoring system of the present invention; Figure 4 It is a schematic diagram of the architecture of the cargo identification method, computer equipment and capture and positioning end of the cargo monitoring system of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0021] Embodiment 1 Please refer to Figure 1-2As shown: a cargo identification method, a computer device and a cargo monitoring system, including a cargo identification terminal, a cargo monitoring terminal and a capture and positioning terminal, wherein the cargo identification terminal, the cargo monitoring terminal and the capture and positioning terminal are jointly provided with a voice reminder module; The cargo identification terminal is used to collect features of different types of cargo in real time, and to determine the approximate contours of the cargo in real time based on the collected features, identify the approximate contours of the cargo, classify and mark the cargo, and track the classified and marked cargo in real time, determine whether the cargo has moved, and issue a voice reminder when the cargo has moved; The cargo monitoring terminal is used to monitor the path of moving cargo in real time, make a real-time prediction of the current moving path of the cargo, predict the destination of the cargo, display the current moving path of the cargo in real time, and determine whether the current moving path deviates from the predicted destination path of the cargo. If there is a deviation, the destination of the cargo is predicted again until the cargo arrives safely. The capture and positioning terminal is used to capture the current position of the cargo in real time, display the current position of the cargo in real time, and use color marking to identify the cargo positioning information at the historical and current moments in real time, update the cargo positioning display in real time, and feedback the cargo transportation status based on the updated positioning display; The voice reminder module is used to remind through a voice alarm and provide feedback for manual processing.

[0022] The cargo identification terminal includes a cargo collection module, a cargo identification module and a cargo identification module; The cargo collection module is used to collect the surface feature information of the cargo in real time through a video capture device to obtain the image information of the cargo; The cargo identification module is used to compare the cargo image information with the image information of different types of cargo stored in the system, and identify the approximate contours of the current cargo and the corresponding cargo in the system. The judgment steps are as follows: Step 1: Calculate the approximate contour of the feature points on the image information of the goods at the current moment , The calculation formula is as follows: ; in, Represents the distance moved by the pixel points in the area corresponding to the approximate outline of the goods in the t-1 system. represents the image information feature point of the goods detected at the current moment, and M represents the serial number of the image information feature point of the goods tracked at the current moment; Step (2): By moving the pixel points on the known path at time t-1 , the approximate outline of the goods in the image information of the goods at time t can be obtained.

[0023] The cargo identification module includes a cargo identification unit, a cargo tracking unit and a mobile warning unit; The cargo identification unit is used to color-identify the cargo after the approximate outline is determined; The cargo tracking unit is used to track the basic data of the cargo at the current moment in real time through the data tracker. The basic data includes the placement angle, location information and cargo quantity; The mobile warning unit is used to calculate the difference between the basic data of the goods at the current moment and the basic data of the goods at the previous moment. If the difference = 0, it is judged that the goods have not moved. If the difference ≠ 0, it is judged that the goods have moved, and the reporting system will issue a voice reminder.

[0024] By collecting features of different types of goods in real time and judging the approximate contours in real time based on the collected features, the approximate contours of the goods can be accurately identified, and the goods can be classified and marked, and the classified and marked goods can be tracked in real time. When classifying different types of goods, the cargo identification effect is increased and the limitations of cargo identification are reduced.

[0025] Embodiment 2 Please refer to Figure 3 As shown: Based on the first embodiment, the cargo monitoring terminal includes a cargo monitoring unit and a real-time recording unit; The cargo monitoring unit is used to monitor the cargo status at the current moment in real time through a monitor; The real-time recording unit is used to record the status of the goods at the current moment in real time through a data recorder.

[0026] The cargo monitoring module includes a cargo monitoring unit and a status display unit; The cargo monitoring unit is used to monitor whether the cargo movement path at the current moment deviates from the cargo transportation path. The monitoring steps are as follows: Step I: Set the basic center point of the cargo transportation route as the origin, establish a coordinate system, and calculate the moving distance of the route point of the cargo transportation route by the calculation formula: ; in, is the angle between the moving distance of the route point of the cargo transportation path and the positive direction of the X-axis, is the angle between the moving distance of the route point of the cargo transportation path and the positive direction of the Y axis, A is the height of the cargo, is the vector of the cargo in the X-axis direction, is the vector of the cargo in the Y-axis direction; Step II: Move the calculated route points of the cargo transportation path by an angle and Compare with the standard route point moving distance of the cargo transportation route, the standard displacement values ​​are set as O and M. as well as , then it is judged that the transportation path of the goods has deviated, if not, then it is judged that the transportation path of the goods has not deviated; The status display unit is used to visualize the transportation status of the goods in real time through a page display and a data tracker.

[0027] The cargo tracking module includes a cargo tracking unit and a cargo prediction unit; The cargo tracking unit is used to track the cargo transportation route at the current moment in real time through a data tracker; The cargo prediction unit is used to make a real-time prediction of the destination according to the movement path of the cargo at the current moment, and to predict the arrival time according to the destination.

[0028] By collecting features of different types of goods in real time and judging the approximate contours in real time based on the collected features, the approximate contours of the goods can be accurately identified, and the goods can be classified and marked, and the classified and marked goods can be tracked in real time. When classifying different types of goods, the cargo identification effect is increased and the limitations of cargo identification are reduced.

[0029] Embodiment 3 Please refer to Figure 4 As shown: Based on the first embodiment, the capture and positioning end includes a real-time capture module, a cargo positioning module and a positioning identification module; The real-time capture module is used to capture the transportation status of the goods at the current moment in real time through a timer; The cargo positioning module includes a real-time positioning unit, which is used to locate the position of the cargo at the current moment in real time through a locator and a timer.

[0030] The positioning identification module includes a positioning identification unit, a positioning update unit and an update feedback unit; The positioning identification unit is used to identify the cargo status captured at the current moment by color identification; The positioning update unit is used to update the current transportation path positioning information of the goods in real time through the information converter; The update feedback unit is used to feedback whether there is any deviation in the destination of the goods based on the current transportation path positioning information.

[0031] By capturing the current position of cargo transportation in real time, regularly displaying the current position of cargo in real time, and using color marking to identify the cargo positioning information at historical and current times, and updating the cargo positioning display in real time, the real-time position of cargo transportation can be captured throughout the entire process, so that the cargo positioning is displayed in real time, and the cargo transportation status can be fed back based on the updated positioning display, and abnormal positions can be identified in real time.

[0032] In the present invention, a cargo identification method, a computer device and a cargo monitoring system, when the system is in operation, first enters the data collection end, collects features of different types of cargo, and judges the approximate contour in real time according to the collected features, identifies the approximate contour of the cargo, classifies and identifies the cargo, and tracks the classified and identified cargo in real time to determine whether the cargo moves. When identifying different types of cargo, due to the different types of cargo, by collecting features of different types of cargo in real time, and judging the approximate contour in real time according to the collected features, the approximate contour of the cargo can be accurately identified, and the cargo can be classified and identified at the same time, and the classified and identified cargo can be tracked in real time. When classifying different types of cargo, the cargo identification effect is increased and the limitations of cargo identification are reduced; enters the cargo monitoring end, monitors the path of the moving cargo in real time, and predicts the current moving path of the cargo in real time, and judges in real time whether the current moving path deviates from the predicted destination path of the cargo until the cargo arrives safely. When identifying different types of cargo, by monitoring the path of the moving cargo in real time, and predicting the current moving path of the cargo in real time, Predict the destination of the goods, display the current movement path of the goods in real time, and judge whether the current movement path deviates from the predicted destination path of the goods, so that the path movement of the goods can be monitored and tracked in real time, accurately judge whether the movement path of the goods deviates, avoid deviations in the real-time monitoring of the current transportation status of the goods, and predict the transportation path of the goods in real time to increase the accuracy of the prediction of the transportation path of the goods; enter the capture and positioning end, capture the current position of the goods transportation in real time, and use color marking to mark the positioning information of the goods at historical moments and current moments in real time, update the positioning display of the goods in real time, and feedback the transportation status of the goods according to the updated positioning display. When identifying different types of goods, capture the current position of the goods transportation in real time, regularly display the current position of the goods in real time, and use color marking to mark the positioning information of the goods at historical moments and current moments in real time, and update the positioning display of the goods in real time. The real-time position of the goods transportation can be captured throughout the process, so that the positioning of the goods is displayed in real time, and the transportation status of the goods is fed back according to the updated positioning display. Abnormal positions can be marked in real time to avoid delayed display of the positioning information of the goods transportation.

[0033] The cargo identification method comprises the following steps: Step 1: First, enter the data collection terminal, collect features of different types of goods, and make approximate contour judgments in real time based on the collected features, identify the approximate contours of the goods, classify and mark the goods, and track the classified and marked goods in real time to determine whether the goods have moved; Step 2: Enter the cargo monitoring terminal, monitor the path of the moving cargo in real time, and make a real-time prediction of the current moving path of the cargo, and determine in real time whether the current moving path deviates from the predicted destination path of the cargo, until the cargo arrives safely; Step 3: Enter the capture and positioning terminal, capture the current location of the cargo transportation in real time, and use color markings to identify the cargo positioning information at historical and current times, update the cargo positioning display in real time, and feedback the cargo transportation status based on the updated positioning display.

[0034] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. Cargo monitoring system, characterized in that, The system comprises a cargo identification terminal, a cargo monitoring terminal and a capture and positioning terminal, wherein the cargo identification terminal, the cargo monitoring terminal and the capture and positioning terminal are jointly provided with a voice reminder module; The cargo identification terminal is used to collect features of different types of cargo in real time, and to determine the approximate contours of the cargo in real time based on the collected features, identify the approximate contours of the cargo, classify and mark the cargo, and track the classified and marked cargo in real time, determine whether the cargo has moved, and issue a voice reminder when the cargo has moved; The cargo monitoring terminal is used to monitor the path of the moving cargo in real time, predict the current moving path of the cargo in real time, predict the destination of the cargo, display the current moving path of the cargo in real time, and determine whether the current moving path deviates from the predicted destination path of the cargo. If there is a deviation, the destination of the cargo is predicted again until the cargo arrives safely. The capture and positioning terminal is used to capture the current position of the cargo transportation in real time, regularly display the current position of the cargo in real time, and use color marking to mark the cargo positioning information at the historical moment and the current moment in real time, update the cargo positioning display in real time, and feedback the cargo transportation status according to the updated positioning display; The voice reminder module is used to remind through a voice alarm and provide feedback for manual processing.

2. The cargo monitoring system according to claim 1, characterized in that: The cargo identification terminal includes a cargo collection module, a cargo identification module and a cargo identification module; The cargo collection module is used to collect surface feature information of cargo in real time through a video capture device to obtain image information of cargo; The cargo identification module is used to compare the cargo image information with the image information of different types of cargo stored in the system, and identify the approximate contours of the current cargo and the corresponding cargo in the system. The judgment steps are as follows: Step 1: Calculate the approximate contour of the feature points on the image information of the goods at the current moment , The calculation formula is as follows: ； in, Represents the distance moved by the pixel points in the area corresponding to the approximate outline of the goods in the t-1 system. represents the image information feature point of the goods detected at the current moment, and M represents the serial number of the image information feature point of the goods tracked at the current moment; Step (2): By moving the pixel points on the known path at time t-1 , the approximate outline of the goods in the image information of the goods at time t can be obtained.

3. The cargo monitoring system according to claim 2, characterized in that: The cargo identification module includes a cargo identification unit, a cargo tracking unit and a mobile warning unit; The cargo identification unit is used to color-identify the cargo after the approximate outline is determined; The cargo tracking unit is used to track the basic data of the cargo at the current moment in real time through a data tracker, the basic data including placement angle, location information and cargo quantity; The movement warning unit is used to calculate the difference between the basic data of the goods at the current moment and the basic data of the goods at the previous moment. If the difference = 0, it is judged that the goods have not moved. If the difference ≠ 0, it is judged that the goods have moved, and the reporting system issues a voice reminder.

4. The cargo monitoring system according to claim 1, characterized in that: The cargo monitoring terminal includes a cargo monitoring unit and a real-time recording unit; The cargo monitoring unit is used to monitor the cargo status at the current moment in real time through a monitor; The real-time recording unit is used to record the status of the goods at the current moment in real time through a data recorder.

5. The cargo monitoring system according to claim 4, characterized in that: The cargo monitoring module includes a cargo monitoring unit and a status display unit; The cargo monitoring unit is used to monitor whether the cargo moving path at the current moment deviates from the cargo transportation path. The monitoring steps are as follows: Step I: Set the basic center point of the cargo transportation route as the origin, establish a coordinate system, and calculate the moving distance of the route point of the cargo transportation route by the calculation formula: ； in, is the angle between the moving distance of the route point of the cargo transportation path and the positive direction of the X-axis, is the angle between the moving distance of the route point of the cargo transportation path and the positive direction of the Y axis, A is the height of the cargo, is the vector of the cargo in the X-axis direction, is the vector of the cargo in the Y-axis direction; Step II: Move the calculated route points of the cargo transportation path by an angle and Compare with the standard route point moving distance of the cargo transportation route, the standard displacement values ​​are set as O and M. as well as , then it is judged that the transportation path of the goods has deviated, if not, then it is judged that the transportation path of the goods has not deviated; The status display unit is used to visually display the transportation status of the goods in real time through a page display and a data tracker.

6. The cargo monitoring system according to claim 5, characterized in that: The cargo tracking module includes a cargo tracking unit and a cargo prediction unit; The cargo tracking unit is used to track the cargo transportation route at the current moment in real time through a data tracker; The cargo prediction unit is used to make a real-time prediction of the destination according to the movement path of the cargo at the current moment, and to predict the arrival time according to the destination.

7. The cargo monitoring system according to claim 1, characterized in that: The capture and positioning end includes a real-time capture module, a cargo positioning module and a positioning identification module; The real-time capture module is used to capture the transportation status of the goods at the current moment in real time through a timer; The cargo positioning module comprises a real-time positioning unit, and the real-time positioning unit is used to locate the position of the cargo at the current moment in real time through a locator and a timer.

8. The cargo monitoring system according to claim 7, characterized in that: The positioning identification module includes a positioning identification unit, a positioning update unit and an update feedback unit; The positioning identification unit is used to identify the cargo status captured at the current moment by color identification; The positioning update unit is used to update the current transportation path positioning information of the goods in real time through the information converter; The update feedback unit is used to feedback whether there is a deviation in the destination of the goods according to the current transportation path positioning information.

9. A cargo identification method, referring to the cargo monitoring system according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: First, enter the data collection terminal, collect features of different types of goods, and make approximate contour judgments in real time based on the collected features, identify the approximate contours of the goods, classify and mark the goods, and track the classified and marked goods in real time to determine whether the goods have moved; Step 2: Enter the cargo monitoring terminal, monitor the path of the moving cargo in real time, and make a real-time prediction of the current moving path of the cargo, and determine in real time whether the current moving path deviates from the predicted destination path of the cargo, until the cargo arrives safely; Step 3: Enter the capture and positioning terminal, capture the current location of the cargo transportation in real time, and use color markings to identify the cargo positioning information at historical and current times, update the cargo positioning display in real time, and feedback the cargo transportation status based on the updated positioning display.

10. Computer equipment used in cargo monitoring systems.

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