Transport data calculation system
The transportation data calculation system on pallets addresses the limitations of existing systems by using sensors to detect and calculate stress, ensuring comprehensive protection and quality management of diverse cargo types during transport.
Patent Information
- Application Number
- JP2023095081
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-06-08
- Publication Date
- 2024-12-19
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing pallet systems, such as those described in Patent Document 1, are limited in their application and do not effectively protect cargo like electrical products or packaging materials, as they are primarily designed for managing ozone concentration for food products.
A transportation data calculation system equipped with sensors on pallets that detect acceleration, temperature, and humidity, coupled with a calculation unit to determine stress on cargo, allowing for versatile protection of various types of cargo during transport.
The system provides accurate and versatile protection of cargo by calculating and managing stress factors like acceleration, temperature, and humidity, preventing damage and improving cargo quality during transport.
Smart Images

Figure 2024176515000001_ABST
Abstract
Description
[Technical field]
[0001] The present disclosure relates to a transportation data computing system. [Background technology]
[0002] Patent Document 1 discloses a pallet characterized by being equipped with a plasma generating device and a method for managing foodstuffs using the pallet. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Patent Publication No. 2022-162480 Summary of the Invention [Problem to be solved by the invention]
[0004] The pallet described in Patent Document 1 is characterized by adjusting the ozone concentration using a plasma generator, and the only goods that are subject to management are food products. The technology described in Patent Document 1 is not versatile and cannot be applied to protect cargo such as electrical products or packaging materials.
[0005] The present disclosure is directed to solving the above problems. It is an object of the present disclosure to provide a versatile system that is advantageous in protecting cargo that is transported on a pallet. [Means for solving the problem]
[0006] The transportation data calculation system of the present disclosure comprises a sensor that is attached to a pallet on which cargo can be placed and detects at least one of acceleration, temperature, and humidity, and a calculation means that calculates the stress applied to the cargo placed on the pallet and transported from the data detected by the sensor. Effect of the Invention
[0007] The present disclosure provides a versatile transportation data calculation system that is advantageous in protecting cargo transported on pallets. [Brief description of the drawings]
[0008] [Figure 1] 1 is a functional block diagram of a transportation data calculation system according to a first embodiment. [Diagram 2] 1 is a diagram showing a specific example of the overall configuration of a transportation data calculation system according to a first embodiment. [Diagram 3] 3 is a diagram showing an example of the structure of a pallet to which a sensor according to the first embodiment is attached. FIG. [Figure 4] FIG. 4 is a diagram illustrating a first example of stress calculation by the transportation data calculation system of the first embodiment. [Diagram 5] FIG. 2 is a diagram illustrating the strength characteristics of cardboard. [Figure 6] FIG. 11 is a diagram illustrating a second example of stress calculation by the transportation data calculation system of the first embodiment. [Figure 7] FIG. 11 is a diagram illustrating a third example of stress calculation by the transportation data calculation system of the first embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0009] Hereinafter, the embodiments will be described with reference to the drawings. The same reference numerals in each drawing indicate the same or corresponding parts. In this disclosure, duplicated descriptions are appropriately simplified or omitted. Note that this disclosure may include various modifications and combinations of the configurations disclosed in the following embodiments, without departing from the spirit of the disclosure.
[0010] Embodiment 1 Fig. 1 is a functional block diagram of a transportation data calculation system according to embodiment 1. Fig. 2 is a diagram showing a specific example of the overall configuration of the transportation data calculation system according to embodiment 1. The transportation data calculation system according to this embodiment is a system that calculates stress applied to cargo by using detection data from a sensor 1a provided on a pallet 1 on which cargo to be transported is placed.
[0011] As shown in Fig. 1, the transportation data calculation system according to this embodiment includes a sensor 1a and a calculation unit 10. The sensor 1a is provided on a pallet 1 on which cargo can be placed, and detects at least one of acceleration, temperature, and humidity. The calculation unit 10 is a calculation means that calculates the stress applied to the cargo placed on the pallet 1 and transported from the detection data of the sensor 1a.
[0012] The pallet 1 and the cargo placed on the pallet 1 are transported by a transport vehicle 100, for example, as shown in Fig. 2. Note that the pallet 1 is not limited to being transported by the transport vehicle 100, and may be transported by, for example, an aircraft or a ship.
[0013] 3 is a diagram showing an example of the structure of pallet 1 to which sensor 1a of embodiment 1 is attached. Pallet 1 is made of a material such as wood. Pallet 1 is made by combining a plurality of beams. For example, the inside of a part of the beams constituting pallet 1 is hollowed out, and sensor 1a is attached to the hollowed out part.
[0014] The functions of the calculation unit 10 are provided in the cloud 200, for example, as in the example of FIG. 2. In the example of FIG. 2, the sensor 1a detects data in real time when the pallet 1 and cargo are transported by the transport vehicle 100 or the like, and transmits the detected data to the cloud 200. The cloud 200 stores the detected data of the sensor 1a and also analyzes the detected data. The detected data of the cloud 200, i.e., the calculation result of the stress applied to the cargo placed on the pallet 1 and transported, is transmitted to a terminal 300 such as a personal computer used by a user, for example. In the example of FIG. 2, the user can check the calculation result received by the terminal 300.
[0015] The transportation data calculation system configured as above can automatically calculate the stress applied to the cargo during transportation using the detection data of the sensor 1a. By using the transportation data system according to this embodiment, damage to the cargo during the transportation process can be prevented and the quality of the cargo can be improved. Furthermore, the cargo to be transported is not limited to food, and a wide variety of cargoes can be handled. According to this embodiment, a highly versatile transportation data calculation system is obtained that is advantageous in protecting the cargo transported while placed on the pallet 1.
[0016] As an example, the calculation unit 10 calculates the cumulative time during which the detection data of the sensor 1a is outside the standard as stress. For example, when the sensor 1a detects temperature, the calculation unit 10 calculates the cumulative time during which the detected temperature exceeds or falls below a specific judgment value as stress. For example, when the sensor 1a detects humidity, the calculation unit 10 calculates the cumulative time during which the detected humidity exceeds or falls below a specific judgment value as stress. When the sensor 1a detects acceleration, the calculation unit 10 calculates the cumulative time during which the detected acceleration exceeds a specific judgment value as stress. The standard for the detection data can be set appropriately depending on the use of the cargo, the transportation environment, etc. This method can be used for a wide variety of cargo.
[0017] The calculation unit 10 may calculate the stress using an integrated value of the detection data of the sensor 1a. With such a calculation method, for example, it is possible to calculate the stress taking into consideration the magnitude of the difference from the above-mentioned judgment value. For example, in the case where the sensor 1a detects temperature, a judgment value of 30°C or less is considered to be within the standard. In this case, it is considered that the magnitude of stress applied to the cargo differs when the detected temperature is 35°C and when the detected temperature is 60°C. The same can be considered when detecting humidity or acceleration. By calculating the stress using an integrated value of the detection data, it is possible to obtain a more accurate calculation result.
[0018] A plurality of sensors 1a may be provided on one pallet 1. The plurality of sensors 1a may detect the same type of data, or may detect different types of data. The sensor 1a may be configured to be capable of detecting two or more pieces of information among acceleration, temperature, and humidity. In this case, two or more sensor devices may be capable of detecting two or more pieces of information among acceleration, temperature, and humidity, or a single sensor device may be capable of detecting two or more pieces of information among acceleration, temperature, and humidity.
[0019] When the sensor 1a can detect two or more pieces of information, the calculation unit 10 may calculate stress from a combination of two or more pieces of information detected by the sensor 1a. For example, when the sensor 1a detects temperature and acceleration, it is assumed that a temperature below a judgment value is within the standard. In this case, it is considered that the magnitude of stress applied to the cargo is different between a case where acceleration exceeding the standard is applied in an environment with a temperature below the judgment value and a case where acceleration exceeding the standard is applied in an environment with a temperature above the judgment value. When two or more pieces of information are detectable, the calculation result based on another piece of detection data may be adjusted according to one piece of detection data. Alternatively, a judgment value corresponding to another piece of detection data may be changed according to one piece of detection data. As an example, the judgment value of acceleration may be changed between a high temperature environment and a low temperature environment. By calculating stress from a combination of two or more pieces of information, a calculation result with higher accuracy can be obtained.
[0020] The function of the calculation unit 10 in this embodiment may be provided in a device other than the cloud 200. The function of the calculation unit 10 may be provided in, for example, the terminal 300. The detection data of the sensor 1a may be sent to the terminal 300 without going through the cloud 200. The terminal 300 may analyze the data received from the sensor 1a. Alternatively, the function of the calculation unit 10 may be realized by a device or the like other than the cloud 200 and the terminal 300.
[0021] As shown in FIG. 1, the transportation data calculation system may also include a notification function by, for example, the notification unit 20. The notification unit 20 issues a notification according to the calculation result of the calculation unit 10. For example, the notification unit 20 issues a warning when the cumulative value of the time during which the detection data of the sensor 1a deviates from the standard becomes equal to or exceeds a threshold value. The content of the warning is arbitrary, such as indicating that the stress applied to the cargo is too large, encouraging improvement of the cargo transportation environment, etc. The warning may be issued during the transportation of the cargo, or may be issued after the transportation of the cargo is completed to encourage improvement of the environment at the next transportation. The function of the notification unit 20 may be provided, for example, in the terminal 300, in equipment installed in the transportation vehicle 100, or in a mobile terminal such as a smartphone.
[0022] Next, a specific example of stress calculation by the transportation data calculation system according to the present embodiment will be described with further reference to the drawings. Fig. 4 is a diagram for explaining a first example of stress calculation by the transportation data calculation system according to the first embodiment.
[0023] In this first example, the sensor 1a detects humidity. The calculation unit 10 calculates stress from the humidity detected by the sensor 1a. In the example shown in Fig. 4, the cumulative time a+b, which is the cumulative value of the time during which the humidity exceeds the judgment value, is calculated as stress. As described above, the calculation of stress may be performed using the integrated value of the detected humidity.
[0024] Calculating stress from the humidity detected by the sensor 1a is particularly suitable when the object to be transported is a cardboard box. FIG. 5 is a diagram for explaining the strength characteristics of a cardboard box. In many cases, cargo on a pallet 1 is transported in a state where it is packed in cardboard boxes. The strength of the cardboard box is affected by humidity as shown in FIG. 5. The strength of the cardboard box drops sharply when it exceeds a certain inflection point, for example, a humidity of 80%. Therefore, when the object to be transported is a cardboard box, it is advisable to set the humidity judgment value according to the strength characteristics. For example, the humidity judgment value may be set to 80%, which is an example of an inflection point. This makes it possible to effectively deal with, for example, crushing or bulging of the cardboard box.
[0025] FIG. 6 is a diagram for explaining a second example of stress calculation by the transportation data calculation system of the first embodiment. In this second example, the sensor 1a detects temperature. The calculation unit 10 calculates stress from the temperature detected by the sensor 1a. In the example shown in FIG. 6, the cumulative time a+b+c, which is the cumulative value of the time during which the temperature is below the judgment value, is calculated as stress. As described above, the stress may be calculated using the integrated value of the detected temperature.
[0026] The second example shown in FIG. 6 is particularly suitable for cases where the cargo is a product made of a resin material. Resin materials have the property of deteriorating in low-temperature environments below the freezing point. For example, resin materials deteriorate rapidly in environments of about -10°C or -20°C. As an example, the temperature judgment is set in the range of 0°C to -10°C. This example can effectively deal with the deterioration of products made of resin materials in low-temperature environments.
[0027] Fig. 7 is a diagram for explaining a third example of stress calculation by the transportation data calculation system of the first embodiment. It is assumed that a plurality of pallets 1 are stacked and stored in a container 400 for transportation. As shown in Fig. 7, the temperature inside the container 400 generally varies depending on the distance from the floor and is distributed in the vertical direction. Using this characteristic, the calculation unit 10 may be able to predict the temperature at any position in the vertical direction inside the container 400 from the temperature detected by the sensor 1a provided on the stacked pallets 1.
[0028] According to this third example, it is possible to predict not only the temperature on the pallet 1 but also the ambient temperature of cargo placed in a high position on the pallet 1, and to calculate stress according to the prediction result. This makes it possible to obtain highly accurate stress calculation results. With this example, it is possible to more effectively deal with actual transportation environments, such as when sunlight hits the ceiling surface of the container 400, causing the upper part of the container 400 to become hot.
[0029] As a modification of the third example, for example, the temperature at any position in the left-right direction may be predicted using the detection data of the sensors 1a of multiple pallets 1 placed in the left-right direction. Also, instead of the temperature, the humidity at any position in the up-down or left-right direction may be predicted. Also, the temperature distribution or humidity distribution may be predicted to detect a location where an outlier occurs, and the occurrence of an abnormality at that location may be notified by the notification unit 20 or the like.
[0030] In the third example, it is necessary to know the position of the sensor 1a. Therefore, for example, the loading method of the pallet 1 on which the sensor 1a is provided may be determined manually in advance, or the sensor 1a may have a function of transmitting information for identifying the sensor 1a itself, such as position information.
[0031] Although Fig. 4 to Fig. 7 show examples of calculating stress according to temperature or humidity, stress may also be calculated according to acceleration. In general, it is not desirable to apply large acceleration to cargo. Calculating stress according to acceleration allows for highly versatile responses that are not dependent on the type of cargo.
[0032] When calculating stress from acceleration, the stress may be calculated from the number of times that the acceleration detected by the sensor 1a exceeds a judgment value. This judgment value is set, for example, in the range of 3G to 10G. When the acceleration is constant, the stress is considered to be relatively small. On the other hand, even if the absolute value of the acceleration is relatively small, when a load such as repeated impact or vibration is applied to the cargo, the stress is considered to be large. By calculating the stress from the number of times that the acceleration exceeds the judgment value, a more accurate calculation result can be obtained.
[0033] The stress calculation based on the number of times can also be applied to calculations based on humidity and temperature. Stress may be calculated from the number of times the humidity or temperature detected by the sensor 1a deviates from the standard. [Explanation of symbols]
[0034] 1 pallet, 1a sensor, 10 calculation unit, 20 notification unit, 100 transport vehicle, 200 cloud, 300 terminal, 400 container
Claims
1. A sensor provided on a pallet on which cargo can be placed, the sensor detecting at least one of acceleration, temperature, and humidity; a calculation means for calculating a stress applied to the cargo placed on the pallet and transported from the detection data of the sensor; A transportation data calculation system comprising:
2. 2. The transportation data calculation system according to claim 1, wherein said calculation means calculates as said stress a cumulative value of the time during which the detection data of said sensor deviates from a standard.
3. The sensor is configured to be capable of detecting two or more pieces of information among acceleration, temperature, and humidity, 2. The transportation data calculation system according to claim 1, wherein the calculation means calculates the stress from a combination of the two or more pieces of information detected by the sensors.
4. The sensor detects humidity; 4. The transportation data calculation system according to claim 1, wherein the calculation means calculates the stress from the humidity detected by the sensor.
5. The cargo is packed in cardboard, 5. The transportation data calculation system according to claim 4, wherein the calculation means calculates the stress in accordance with a humidity judgment value set in accordance with strength characteristics of the cardboard.
6. The sensor detects temperature; 2. The transportation data calculation system according to claim 1, wherein said calculation means calculates said stress from a temperature detected by said sensor.
7. The cargo is a product made of a resin material, 7. The transportation data calculation system according to claim 6, wherein said calculation means calculates, as said stress, a cumulative value of the time during which the temperature detected by said sensor is equal to or lower than a reference value.
8. 8. The transportation data calculation system according to claim 6 or claim 7, wherein the calculation means is capable of predicting the temperature at any vertical position within the container when a plurality of the pallets are stacked and housed in the container and transported.
9. The sensor detects acceleration, 2. The transportation data calculation system according to claim 1, wherein said calculation means calculates said stress from the acceleration detected by said sensor.
10. 10. The data calculation system according to claim 9, wherein the calculation means calculates the stress from the number of times that the acceleration detected by the sensor exceeds a judgment value.
Citation Information
Patent Citations
Pallet and foodstuff management method using the same
JP2022162480A
