Judging device, refrigerating device for container, container, judging system, judging method, and computer program product

By installing an acceleration sensor inside the container and utilizing data processing in the storage and processing units, the problem of inaccurate impact detection caused by sensor position differences is solved, achieving high-precision impact detection and abnormal state judgment, and preventing fatigue damage to the object components.

CN120225823BActive Publication Date: 2026-05-12DAIKIN INDUSTRIES LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
DAIKIN INDUSTRIES LTD
Filing Date
2023-12-13
Publication Date
2026-05-12

AI Technical Summary

Technical Problem

In existing technologies, the positional differences between the sensor and the object component make it impossible to accurately detect the degree of impact acting on the object component.

Method used

By installing an acceleration sensor inside the container, the storage unit stores the impact data of the difference in position between the sensor and the object component. The processing unit infers the degree of impact based on the sensor detection value and the stored data, and determines the abnormal state of the object component when the threshold is exceeded.

Benefits of technology

It enables high-precision detection of impact levels and timely judgment of abnormal conditions of the object component, even when the sensor and the object component are in different positions, thus preventing fatigue damage.

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Abstract

The judging device (80) includes a storage section (81) that stores data relating to the effect of the positional difference between the sensor (65) and the object member (T) on the detection value relating to the degree of impact, which is detected by the sensor (65) disposed at the container (10) having the object member (T), and a processing section (82) that calculates the degree of impact acting on the object member (T) as an estimated value based on the detection value of the sensor (65) and the data stored in the storage section (81).
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Description

Technical Field

[0001] This disclosure relates to a judgment device, a refrigeration device for containers, a container, a judgment system, a judgment method, and a computer program product. Background Technology

[0002] A type of container is known, comprising a container body for maritime or land transport and a container refrigeration unit for cooling the interior of the container body. The container refrigeration unit disclosed in Patent Document 1 includes: a detection unit for detecting a physical quantity used to determine whether a strong impact has occurred on the container; and an anomaly diagnosis unit for determining whether the container refrigeration unit is in an abnormal state based on the physical quantity. Patent Document 1 describes using an impact sensor, which is installed at the container refrigeration unit and detects acceleration, as the detection unit.

[0003] Existing technical documents

[0004] Patent documents

[0005] Patent Document 1: Japanese Patent Publication No. 2020-101327 Summary of the Invention

[0006] -The technical problem the invention aims to solve-

[0007] However, the existing method has the following problem: due to the difference between the location of the sensor and the location of the object component inside the container, the degree of impact acting on the object component cannot be detected with high precision.

[0008] This disclosure provides a determination device that can accurately determine the degree of impact acting on an object component when the object component and the sensor are arranged at different positions on a container.

[0009] - Technical solutions used to solve technical problems -

[0010] The first aspect pertains to a judgment device comprising a storage unit 81 and a processing unit 82. The storage unit 81 stores data relating to the influence of the positional difference between a sensor 65 and an object component T on a detection value related to the degree of impact. The detection value related to the degree of impact is detected by the sensor 65, which is arranged at a container 10 having the object component T. The processing unit 82 calculates, based on the detection value of the sensor 65 and the data stored in the storage unit 81, the degree of impact acting on the object component T as a presumed value.

[0011] In the first aspect, sensor 65 is arranged at container 10. Sensor 65 detects indicators related to the degree of impact. Storage unit 81 stores data related to the influence of the positional difference between sensor 65 and object component T. Processing unit 82 estimates the degree of impact acting on object component T based on the detection value of sensor 65 and the data stored in storage unit 81. Therefore, processing unit 82 can calculate the estimated degree of impact acting on object component T with a small error, where the error is caused by the positional difference between sensor 65 and object component T. As a result, even if object component T and sensor 65 are located in different positions, the degree of impact acting on object component T can be calculated with high accuracy.

[0012] Secondly, based on the first aspect, if the predicted value exceeds the first threshold, the processing unit 82 determines that the object component T is in an abnormal state.

[0013] In the second aspect, if the estimated value exceeds the first threshold, the processing unit 82 determines that the object component T is in an abnormal state. Thus, it is possible to determine that the abnormal state is caused by a large impact on the container 10.

[0014] Thirdly, based on the first or second aspect, if the number of times the predicted value exceeds the second threshold exceeds a predetermined number, the processing unit 82 determines that the object component T is in an abnormal state.

[0015] In the third aspect, if the predicted value exceeds the second threshold more than a predetermined number of times, the processing unit 82 determines that the object component T is in an abnormal state. Thus, it is possible to determine that the abnormal state is caused by repeated impacts of a certain degree onto the container 10.

[0016] Fourthly, based on any one of the first to third aspects, the storage unit 81 stores the predicted value, and the processing unit 82 determines whether the object component T is in an abnormal state based on the predicted value stored in the storage unit 81.

[0017] In the fourth aspect, the processing unit 82 is able to use past estimated values ​​to determine whether the object component T is in an abnormal state.

[0018] Fifthly, based on the fourth aspect, the processing unit 82 determines the fatigue failure of the object component T as an abnormal state according to the estimated value.

[0019] If small impacts are repeatedly applied to the object component T, fatigue failure will occur. Therefore, the processing unit 82 of the fifth aspect uses the degree of impact acting on the object component T, i.e., the estimated value, to determine that fatigue failure of the object component T is an abnormal state.

[0020] In the sixth aspect, based on any one of the first to fifth aspects, the judgment device includes a notification unit 83 that notifies the subject of historical data related to the predicted value.

[0021] In the sixth aspect, the target party can obtain historical data related to the estimated value. Therefore, based on this historical data, the target party can grasp the status of container 10, evaluate how container 10 was used, or propose a better plan for future use of container 10.

[0022] The seventh aspect relates to a refrigeration device for a container, the refrigeration device for a container including the object component T, the sensor 65, and the judgment device 80 as described in any one of the first to sixth aspects, the refrigeration device for a container cooling the interior of the container body 11 of the container 10.

[0023] The eighth aspect, based on the seventh aspect, is that the refrigeration unit for the container includes an electronic component box 60 for storing electronic components, and the sensor 65 is arranged inside the electronic component box 60.

[0024] In the eighth aspect, the sensor 65 is housed together with the electronic components inside the electronic component box 60. Therefore, the electronic component box 60 can prevent water, dust in the air, and corrosive components caused by rainfall from coming into contact with the sensor 65.

[0025] The ninth aspect, based on the eighth aspect, includes a control board 63 on which the sensor 65 is disposed.

[0026] In the ninth aspect, the sensor 65 is arranged on the control board 63. Drive power can be easily supplied to the sensor 65 from the power supply unit located on the control board 63.

[0027] In the tenth aspect, based on the seventh aspect, the refrigeration unit for the container includes a communication device 62 for communicating with other devices, and the sensor 65 is disposed on the communication device 62.

[0028] Eleventh aspect, based on any one of the seventh to tenth aspects, the object component T is at least one of the housing 21, electronic component box 60, compressor 40, heat exchangers 41, 44, fan 42, 45, refrigerant pipes 52, 53, 55, 57, valves 51, 58, 59 and container body 11 of the container refrigeration unit 20.

[0029] In the eleventh aspect, the processing unit 82 estimates the degree of impact on at least one of the following: the housing 21, electronic component box 60, compressor 40, heat exchangers 41 and 44, fan 42 and 45, refrigerant pipes 52, 53, 55 and 57, valves 51, 58 and 59, and the container body 11 of the container refrigeration unit 20.

[0030] The twelfth aspect relates to a container comprising the object component T, the sensor 65, and the judgment device 80 as described in any one of the first to sixth aspects.

[0031] The thirteenth aspect pertains to a judgment system comprising a server device 91 having a storage unit 81 and a processing device 70 having a processing unit 82. The storage unit 81 stores data relating to the influence of the positional difference between a sensor 65 and an object component T on a detection value related to the degree of impact. The detection value related to the degree of impact is detected by a sensor 65 located at a container 10 having the object component T. The processing unit 82 calculates the degree of impact acting on the object component T as a predicted value based on the detection value of the sensor 65 and the data stored in the storage unit 81.

[0032] In the thirteenth aspect, the storage unit 81 of the server device 91 stores data related to the influence of the positional difference between the sensor 65 and the object component T. The processing unit 82 of the processing device 70 estimates the degree of impact acting on the object component T based on the detection value of the sensor 65 and the data stored in the storage unit 81 of the server device 91. Therefore, the processing unit 82 can calculate the estimated degree of impact acting on the object component T with a small error, where the error is caused by the positional difference between the sensor 65 and the object component. As a result, even if the object component T and the sensor 65 are located in different positions, the degree of impact acting on the object component T can be calculated with high accuracy.

[0033] In the fourteenth aspect, based on the thirteenth aspect, the processing device 70 sends a transmission request to the server device 91 via the communication device 62, requesting the server device 91 to send data stored in the storage unit 81. The server device 91, upon receiving the transmission request, sends the data stored in the storage unit 81 to the processing device 70 via the communication device 62.

[0034] In the fourteenth aspect, data stored in the storage unit 81 of the server device 91 can be sent to the processing device 70 according to a sending request from the processing device 70.

[0035] The fifteenth aspect relates to a judgment method comprising a storage step and a deduction step, wherein in the storage step, data relating to the influence of the positional difference between a sensor 65 and an object component T on a detection value related to the degree of impact is stored, the detection value related to the degree of impact being detected by a sensor 65 disposed at a container 10 having the object component T, and in the deduction step, the degree of impact acting on the object component T is determined as a deduced value based on the detection value of the sensor 65 and the data stored in the storage step.

[0036] The sixteenth aspect relates to a computer program product that causes a computer to perform a storage step and a prediction step, wherein in the storage step, data relating to the effect of the positional difference between a sensor 65 and an object component T on a detection value related to the degree of impact is stored, the detection value related to the degree of impact being detected by a sensor 65 disposed at a container 10 having the object component T, and in the prediction step, the degree of impact acting on the object component T is determined as a prediction value based on the detection value of the sensor 65 and the data stored in the storage step. Attached Figure Description

[0037] Figure 1 It is a longitudinal sectional view obtained by cutting open the container refrigeration unit involved in the embodiment along the front-back direction;

[0038] Figure 2 This is a three-dimensional view of the refrigeration unit used in the container from the front.

[0039] Figure 3 This is a piping system diagram for a refrigeration unit used in shipping containers;

[0040] Figure 4 This is a block diagram showing the main components of a refrigeration unit for containers;

[0041] Figure 5 This shows an example of data stored in the storage unit;

[0042] Figure 6 This is a flowchart of the action of the determination device;

[0043] Figure 7 An example of an S-N curve diagram used in the judgment device involved in Modification 1 is shown;

[0044] Figure 8 This is a flowchart of the operation of the judgment device involved in Variation Example 1;

[0045] Figure 9 This is a perspective view of the container refrigeration unit involved in Modified Example 5, viewed from the front;

[0046] Figure 10 This is a block diagram showing the overall structure of the judgment system involved in Modification Example 7;

[0047] Figure 11 This is a diagram illustrating one example of the hardware structure of a server device;

[0048] Figure 12 This is a sequence diagram of the actions of the judgment system in variation example 7;

[0049] Figure 13 This is a flowchart of the state judgment process in variation example 7. Detailed Implementation

[0050] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that this disclosure is not limited to the embodiments shown below, and various modifications can be made without departing from the technical concept of this disclosure. The accompanying drawings are for conceptual illustration of this disclosure; therefore, for ease of understanding, dimensions, scales, or quantities may sometimes be exaggerated or simplified as needed.

[0051] (1) Overall structure of the container

[0052] Reference Figures 1-4 The container 10 of this embodiment will be described. It should be noted that in the following description, statements related to "front," "rear," "left," "right," "up," and "down" are all prefixed with "front." Figure 2 The direction indicated by the arrow in the image is the reference.

[0053] Container 10 is used for maritime transport. Container 10 is a refrigerated container with the function of cooling its internal air. Container 10 has a container body 11 and a refrigeration unit 20. The container body 11 is used to store fresh goods such as food and plants. The refrigeration unit 20 cools the internal space 12 of the container body 11. Hereinafter, the internal space 12 is sometimes referred to as the container interior, and the space outside the container body 11 is referred to as the container exterior. Figure 2 As shown, an opening 13 is formed on the front surface of the container body 11. The container refrigeration unit 20 is installed on the container body 11 in such a way that it seals the opening 13 of the container body 11.

[0054] (2) Refrigeration equipment for containers

[0055] The refrigeration unit 20 for the container has a housing 21. The housing 21 forms a cover for the opening 13 of the container body 11. The housing 21 has a housing body 22 and a partition 23. The housing body 22 separates the interior and exterior of the container body 11. The partition 23 is arranged on the rear side (rear side) of the housing 21 and is located in the interior space 12.

[0056] The container refrigeration unit 20 includes a compressor 40, an external heat exchanger 41, and an external fan 42, which are arranged outside the container. The container refrigeration unit 20 also includes an internal heat exchanger 44 and an internal fan 45, which are arranged inside the container.

[0057] (2-1) Shell body

[0058] like Figure 1 As shown, the housing body 22 has a flat plate portion 22a and a recessed portion 22b. The flat plate portion 22a is formed on the upper part of the housing body 22 and is substantially flush with the opening 13 of the housing 21. Figure 2 As shown, two inspection windows 24 are formed in the middle of the left-right direction of the flat plate portion 22a. The inspection windows 24 are transparent windows used to inspect the interior of the housing body 22. A ventilator 25 is provided to the left of the inspection windows 24. The ventilator 25 ventilates the interior of the housing.

[0059] A recess 22b is formed in the lower part of the housing 21. The recess 22b is recessed rearward from the lower end of the flat plate 22a. An external storage space 26 is formed on the front side of the recess 22b. An internal storage space 27 is formed above the recess 22b and between the flat plate 22a and the partition 23. The lower end of the recess 22b forms a bottom plate 22c. The bottom plate 22c extends across the left and right ends of the housing body 22.

[0060] The main body 22 is constructed by stacking an outer shell 28, an insulation layer 29, and an inner shell 30 along the thickness direction (front-to-back direction). The outer shell 28 faces outward. The inner shell 30 faces inward. The insulation layer 29 is disposed between the outer shell 28 and the inner shell 30. The outer shell 28 is made of aluminum. The inner shell 30 is made of fiber-reinforced plastic (FRP). The insulation layer 29 is made of foamed resin.

[0061] (2-2) Partitions and air passages

[0062] The partition 23 is a plate-shaped component located behind the recess 22b. The partition 23 extends vertically and is spaced at a predetermined interval from the rear surface of the recess 22b. An internal passage 31 for airflow within the container is formed between the main body 22 and the partition 23. An inlet 32 ​​is formed between the upper end of the partition 23 and the upper wall 11a of the container body 11. The inlet 32 ​​connects the internal space 12 with the inflow end of the internal passage 31. An outlet 33 is formed between the lower end of the partition 23 and the lower wall 11b of the container body 11. The outlet 33 connects the internal space 12 with the outflow end of the internal passage 31.

[0063] (2-3) External components

[0064] A compressor 40, an external heat exchanger 41, and an external fan 42 are installed in the external storage space 26. The compressor 40 is mounted on the bottom plate 22c of the housing 21. The compressor 40 is located in the lower part of the external storage space 26. The compressor 40 is also located on the right side of the external storage space 26. A fan 42 is also mounted on the bottom plate 22c. Figure 2 The liquid reservoir 54 shown in the diagram is omitted.

[0065] The external fan 42 is located in the upper part of the external storage space 26. The external fan 42 is a propeller fan. It has an impeller and an electric motor that drives the impeller to rotate. Figure 2 As shown, an external passage 43 for airflow from outside the box is formed on the back side of the external fan 42.

[0066] The external heat exchanger 41 is positioned at a height between the external fan 42 and the compressor 40 within the external storage space 26. The external heat exchanger 41 is located within the external passageway 43. The external heat exchanger 41 is a finned tube heat exchanger.

[0067] (2-4) Components inside the box

[0068] An internal heat exchanger 44 and an internal fan 45 are installed in the internal storage space 27. The internal heat exchanger 44 is supported by the shell 21 in a manner that spans across the main shell 22 and the partition 23. The internal heat exchanger 44 is a finned tube heat exchanger.

[0069] An internal fan 45 is positioned upstream of the internal heat exchanger 44 within the internal passageway 31. The internal fan 45 is located above the internal heat exchanger 44. The internal fan 45 is a propeller fan, comprising an impeller and an electric motor that drives the impeller to rotate.

[0070] (2-5) Structure of the refrigerant circuit

[0071] like Figure 3 As shown, the container refrigeration unit 20 has a refrigerant circuit 50. The refrigerant circuit 50 is filled with refrigerant. The refrigerant circuit 50 performs a vapor compression refrigeration cycle by circulating the refrigerant.

[0072] The refrigerant circuit 50 mainly includes a compressor 40, an external heat exchanger 41, an expansion valve 51, and an internal heat exchanger 44.

[0073] The compressor 40 compresses the refrigerant that has been drawn in. The compressor 40 then sprays out the compressed refrigerant. A discharge pipe 52 is connected to the discharge section of the compressor 40. A suction pipe 53 is connected to the suction section of the compressor 40. A liquid receiver 54 is provided on the suction pipe 53. The liquid receiver 54 is a container for storing liquid refrigerant.

[0074] The external heat exchanger 41 allows the refrigerant flowing inside it to exchange heat with the outside air. The gas-side end of the external heat exchanger 41 is connected to the discharge pipe 52. The liquid-side end of the external heat exchanger 41 is connected to the liquid-side end of the internal heat exchanger 44 via the liquid pipe 55. The external heat exchanger 41 functions as a heat exchanger (condenser) that releases heat from the refrigerant to the air.

[0075] An expansion valve 51 is installed on the liquid line 55. The expansion valve 51 reduces the pressure of the high-pressure refrigerant to that of the low-pressure refrigerant. The expansion valve 51 is an electronic expansion valve with an adjustable opening. A receiver 56 is installed between the external heat exchanger 41 on the liquid line 55 and the expansion valve 51. The receiver 56 is a container for storing the remaining refrigerant in the refrigerant circuit 50.

[0076] The internal heat exchanger 44 allows the refrigerant flowing inside it to exchange heat with the air inside the chamber. The air-side end of the internal heat exchanger 44 is connected to the suction pipe 53. The internal heat exchanger 44 functions as an evaporator that allows the refrigerant to absorb heat from the air.

[0077] The refrigerant circuit 50 has a bypass pipe 57. The inlet end of the bypass pipe 57 is connected to the outlet pipe 52, and the outlet end of the bypass pipe 57 is connected to the liquid pipe 55. The bypass pipe 57 allows the refrigerant injected from the compressor 40 to bypass the external heat exchanger 41 and be delivered to the internal heat exchanger 44.

[0078] A first valve 58 and a second valve 59 are provided in the refrigerant circuit 50. The first valve 58 is located between the discharge side of the compressor 40 and the gas side of the external heat exchanger 41, and is positioned downstream of the connection point of the bypass pipe 57. The second valve 59 is located on the bypass pipe 57. Both the first valve 58 and the second valve 59 are electromagnetically operated valves. The first valve 58 and the second valve 59 can be flow regulating valves with adjustable opening degrees.

[0079] (2-6) Electronic component box

[0080] like Figure 2 As shown, an electronic component box 60 is provided in the housing 21. The electronic component box 60 houses electronic components such as a control board 63, a power circuit board, power terminals, and other electronic devices. The electronic component box 60 is located in the middle of the housing 21 in the vertical direction. The electronic component box 60 has a front-opening box body 60a and a cover 60b that seals the opening of the box body 60a. The box body 60a is formed into a hollow, generally rectangular parallelepiped shape. The cover 60b is fixed to the box body 60a by a hinge (not shown). The cover 60b is configured to open and close the front opening of the box body 60a. A sealing component for preventing water and air intrusion is provided between the electronic component box 60 and the cover 60b. The electronic component box 60 is made of resin material.

[0081] The communication device 62 and the control board 63 are housed in the first space 61 inside the electronic component box 60.

[0082] Communication device 62 is a communication interface used to enable communication between the container refrigeration unit 20 and other external devices (terminal devices). Communication device 62 consists of a modem. Communication device 62 transmits information from the container refrigeration unit 20 to the terminal device. Communication device 62 receives information from the terminal device. Communication device 62 is located approximately in the middle of the first space 61 in the left-right direction. The shape of communication device 62 is approximately cuboid, with its thickness along the left-right direction.

[0083] The control board 63 is a printed circuit board on which control circuitry is mounted to control various devices of the container refrigeration unit 20. Power supply and grounding wiring are also mounted on the control board 63. The control board 63 is arranged within a so-called low-voltage space in the first space 61. In this example, the control board 63 is supported by the electronic component box 60 with its thickness direction aligned front-to-back. The control board 63 is formed to be relatively long in the vertical direction.

[0084] (2-7) Accelerometer

[0085] like Figure 2 As shown, the refrigeration unit 20 for the container has an acceleration sensor 65. The acceleration sensor 65 is a sensor used to detect the degree of impact acting on the object component T. The acceleration sensor 65 detects acceleration [G] as an indicator (physical quantity) related to the degree of impact on the object component T.

[0086] The accelerometer 65 in this embodiment is composed of a triaxial accelerometer. Of these three axes, the X-axis corresponds to... Figure 2 The front and back directions, the Y-axis corresponds to Figure 2 The left and right directions are represented by the x-axis, and the z-axis corresponds to the up and down directions.

[0087] An accelerometer 65 is disposed in a first space 61 inside the electronic component box 60. Specifically, the accelerometer 65 is disposed on the control board 63. Strictly speaking, the accelerometer 65 is mounted on the control board 63 together with other electronic components. The accelerometer 65 is disposed, for example, in the middle of the length direction (vertical direction) of the control board 63. The detection signal of the accelerometer 65 is input to the control board 63.

[0088] (2-8) Controller

[0089] like Figure 4As shown, the container refrigeration unit 20 includes a controller 70. The controller 70 controls the container refrigeration unit 20. The controller 70 includes the aforementioned control board 63 and is arranged in a first space 61 inside the electronic component box 60. The controller 70 includes a microprocessor, electrical circuits, and electronic circuits. The microprocessor includes a CPU (Central Processing Unit), memory, communication interface, analog input / output, and contact input / output interface. The memory stores various programs executed by the CPU and the data used by the programs.

[0090] Controller 70 controls the on / off switching of compressor 40 and the speed of compressor 40 motor. Controller 70 controls the on / off switching of external fan 42 and the speed of external fan 42 motor. Controller 70 controls the on / off switching of internal fan 45 and the speed of internal fan 45 motor. Controller 70 controls the opening degree of expansion valve 51. Controller 70 controls the opening and closing states of first valve 58 and second valve 59.

[0091] The controller 70 receives detection signals from multiple sensors. These sensors include a refrigerant temperature sensor, a refrigerant pressure sensor, and an air temperature sensor. The refrigerant temperature sensor includes a sensor that detects the temperature of the refrigerant ejected from the compressor 40 and a sensor that detects the temperature of the refrigerant drawn into the compressor 40. The refrigerant pressure sensor includes a sensor that detects the high pressure of the refrigerant circuit 50 and a sensor that detects the low pressure of the refrigerant circuit 50. The air temperature sensor includes a sensor that detects the air temperature on the suction side of the heat exchanger 44 inside the chamber and a sensor that detects the air temperature on the discharge side of the heat exchanger 44 inside the chamber.

[0092] (2-9) Main power supply

[0093] like Figure 4 As shown, the container refrigeration unit 20 has a main power supply 71. The main power supply 71 is the power source for operating the container refrigeration unit 20. It supplies power to various devices within the container refrigeration unit 20. Specifically, the main power supply 71 supplies power to the compressor 40, the external fan 42, and the internal fan 45 via power circuits. The main power supply 71 supplies power to the valves of the refrigerant circuit 50, including a first valve 58 and a second valve 59. The main power supply 71 supplies power to the controller 70.

[0094] (3) Judgment device

[0095] like Figure 4As shown, the controller 70 includes a judgment device 80. The judgment device 80 is used to estimate the degree of impact on the object component T acting on the container 10. The judgment device 80 makes an anomaly judgment on the object component T based on the estimated value of the impact degree. The judgment device 80 includes a storage unit 81, a processing unit 82, a notification unit 83, and an auxiliary power supply 84.

[0096] (3-1) Storage section

[0097] Storage unit 81 includes hard disk drive (HDD), random access memory (RAM), solid state drive (SSD), etc. Storage unit 81 stores data (first data) used to estimate the impact level of object component T. The first data is data related to the effect of the difference between the position of accelerometer 65 and the position of object component T.

[0098] Figure 5 An example of the first data is shown. The first data is a data table that associates the object component T with the correction coefficients corresponding to the object component T. The storage unit 81 may not store this data. Figure 5 The recorded measured values. In this example, the object component T consists of the electronic component box 60, the base plate 22c of the housing 21, the external heat exchanger 41, the compressor 40, the external fan 42, valves, the internal heat exchanger 44, the internal fan 45, and refrigerant piping. The electronic component box 60 is located in the same position as the accelerometer 65. All other object components T besides the electronic component box 60 are located in different positions from the accelerometer 65.

[0099] Valves are valves installed in the refrigerant circuit 50, including expansion valve 51, first valve 58, and second valve 59. Valves can be four-way directional valves, check valves, rotary valves, etc. Refrigerant lines are pipes used to form the refrigerant circuit. Refrigerant lines include discharge pipe 52, suction pipe 53, liquid pipe 55, and bypass pipe 57. Refrigerant lines can also be injection pipes connected to the compressor 40 during compression, or heating pipes arranged inside the condensate pan.

[0100] The first data in this embodiment was obtained in advance through experiments. In the experiments, when an actual impact was applied to the container 10, the degree of impact (acceleration) acting on each object component T was measured. For example, when the acceleration of the electronic component box 60 is 25 [G] and the acceleration of the bottom plate 22c of the housing 21 is 45 [G], the bottom plate 22c experiences an acceleration 1.8 times that of the electronic component box 60. In this case, assuming the electronic component box 60 is located at the same position as the acceleration sensor 65 as a reference, and the correction coefficient of the electronic component box 60 is set to 1.0, the correction coefficient of the bottom plate 22c is 1.8. That is, the correction coefficient is the ratio of the measured value of the acceleration acting on each object component T to the measured value of the acceleration acting on the electronic component box 60.

[0101] The correction factor is used to reduce the error in the impact severity caused by the positional difference between the accelerometer 65 and the object component T. Specifically, the positional difference between the accelerometer 65 and the object component T refers to the influence of factors such as the difference in the path distance from the accelerometer 65 to the object component T, the difference in the material of that path, and the difference in the method of fixing the accelerometer 65 on the ease of impact transmission. The correction factor can be considered an indicator that takes these influences into account.

[0102] In this way, the correction coefficients obtained through the experiment are associated with the identification information of the object component T and stored in the storage unit 81.

[0103] The data related to the effects of the positional differences between the accelerometer 65 and the object component T may not be a data table, but may be a function obtained through simulation or a learned model obtained through machine learning.

[0104] (3-2) Processing Department

[0105] The processing unit 82 includes a microprocessor, electrical circuits, and electronic circuits. The microprocessor includes a CPU (Central Processing Unit), memory, a communication interface, analog input / output, and contact input / output interfaces. The memory stores various programs executed by the CPU and the data used by those programs. The processing unit 82 calculates the acceleration acting on the target component T as a predicted value based on the acceleration detected by the accelerometer 65 and the first data stored in the storage unit 81. Specifically, the processing unit 82 calculates the predicted acceleration for each target component T by multiplying the acceleration detected by the accelerometer 65 by a correction coefficient for each target component T.

[0106] The processing unit 82 determines whether the object component T is in an abnormal state based on the estimated impact level of the object component T. If the estimated impact level of the object component T exceeds a first threshold, the processing unit 82 determines that the object component T is in an abnormal state. Here, an abnormal state refers to a state where the object component T has undergone plastic failure due to a relatively large impact. The first threshold is determined in advance through experiments or simulations. The first threshold is stored in the storage unit 81. The first threshold is a value independent of the type of object component T, but it can also be one of several values ​​that vary depending on the type of object component T.

[0107] If the estimated value of object component T exceeds the second threshold more than a predetermined number of times, the processing unit 82 determines that object component T is in an abnormal state. The second threshold is less than the first threshold. The abnormal state referred to here is the state in which object component T undergoes plastic failure due to repeated impacts. The second threshold is determined in advance through experiments or simulations. The second threshold is stored in the storage unit 81. The second threshold is a value that is independent of the type of object component T, but it can also be multiple values ​​that differ depending on the type of object component T.

[0108] The specified number of times is determined in advance through experiments or simulations. The specified number of times is stored in the storage unit 81. The specified number of times is a value that is independent of the type of object component T, but it can also be multiple values ​​that differ depending on the type of object component T.

[0109] (3-3) Notification Department

[0110] The notification unit 83 notifies the target party of historical data related to the predicted values ​​stored in the storage unit 81. The historical data includes time-series data of the predicted impact severity of each target component T, and information indicating that the target component T is in an abnormal state. The target party includes users of container 10, maintenance companies, service providers, distributors, management companies, etc. The notification unit 83 notifies the target party of the time-series data, for example, using text, graphics, charts, sound, etc. The notification unit 83 includes a transmission unit that outputs the time-series data to a designated terminal. The notification unit 83 also includes an alarm unit that notifies the target party that the target component T is in an abnormal state, for example, using text, graphics, symbols, icons, sound, light, etc.

[0111] (3-4) Auxiliary power supply

[0112] The auxiliary power supply 84 is used to power the judgment device 80 when the main power supply 71 is disconnected. For example, when the container refrigeration unit 20 is stopped, the auxiliary power supply 84 powers the judgment device 80. Alternatively, the auxiliary power supply 84 can power the judgment device 80 when the container refrigeration unit is running. Or, when the container refrigeration unit is running, the main power supply 71 can power the judgment device 80. The auxiliary power supply 84 may be composed of, for example, dry cell batteries or storage batteries.

[0113] (4) Operational movements

[0114] The container refrigeration unit 20 operates for cooling and defrosting.

[0115] During cooling operation, a refrigeration cycle is performed in which the refrigerant, compressed in the compressor 40, condenses in the external heat exchanger 41, is depressurized by the expansion valve 51, and then evaporates in the internal heat exchanger 44. Air flowing from the internal space 12 to the internal passage 31 is cooled in the internal heat exchanger 44, which functions as an evaporator. The cooled air is then sent back to the internal space 12.

[0116] During defrosting operation, the refrigerant compressed in compressor 40 flows through bypass pipe 57 and then through internal heat exchanger 44. The heat of the refrigerant flowing inside internal heat exchanger 44 melts the frost on its surface.

[0117] (5) Determine the action of the device

[0118] Reference Figure 6 The flowchart provides a detailed explanation of the operation of the judgment device 80.

[0119] In step S11, the accelerometer 65 detects the acceleration as the degree of impact. The accelerometer 65 is disposed inside the electronic component box 60. Therefore, the accelerometer 65 essentially detects the acceleration acting on the electronic component box 60.

[0120] In step S12, the storage unit 81 stores the detection value of the accelerometer 65. The storage unit 81 stores the detection value each time the accelerometer 65 performs a detection. In step S13, the processing unit 82 calculates a predicted value of the acceleration of each object component T based on the detection value of the accelerometer 65 from step S11 and the first data stored in the storage unit 81. It should be noted that the detection value of the accelerometer 65 can also be read from the storage unit 81. The processing unit 82 multiplies the detected acceleration value by a correction coefficient for each object component T. Specifically, for example, if the detection value of the accelerometer 65 is 10 [G], the processing unit 82 multiplies the detection value 10 [G] by... Figure 5 The correction factor for the base plate 22c of the shell 21 is 1.8, thereby obtaining the estimated value of the base plate 22c (=18[G]).

[0121] In step S14, the storage unit 81 stores the estimated value of each object component T obtained in step S13. Whenever an estimated value is obtained in step S13, the storage unit 81 stores the estimated value of each object component T.

[0122] In step S15, the processing unit 82 compares the predicted value obtained in step S13 with a first threshold. If the predicted value is above the first threshold in step S15, the processing proceeds to step S18. In step S18, the processing unit 82 determines that the object component T being judged is in an abnormal state. For example, if the predicted value of the base plate 22c is above the first threshold, the processing unit 82 determines that the base plate 22c is in an abnormal state.

[0123] If the processing unit 82 determines that the object component T is in an abnormal state, it outputs a first signal indicating that the object component T is in an abnormal state.

[0124] In step S19, the notification unit 83 notifies the user that the target component T is in an abnormal state. When the first signal output from the processing unit 82 is input to the notification unit 83, the notification unit 83 notifies the user that the target component T is in an abnormal state. This information includes the type of target component T. Therefore, the user can quickly grasp that the target component T is in an abnormal state and take appropriate countermeasures.

[0125] In step S15, if the predicted value is less than the first threshold, the process proceeds to step S16. In step S16, the processing unit 82 compares the predicted value with the second threshold. If the predicted value is less than the second threshold, the process returns to step S11. If the predicted value is greater than the second threshold, the process proceeds to step S17.

[0126] In step S17, the processing unit 82 compares the number of times the estimated value exceeds the second threshold with a predetermined number. Here, the number of times the estimated value exceeds the second threshold refers to the cumulative number obtained by appropriately counting after the judgment device 80 starts working. It should be noted that the cumulative number can be determined based on the estimated value stored in the storage unit 81, or the storage unit 81 can store the count value of the cumulative number of times the second threshold is exceeded. In step S17, if the number of times the estimated value exceeds the second threshold is less than the predetermined number, the processing returns to step S11. If the number of times the estimated value exceeds the second threshold is more than the predetermined number, the processing proceeds to step S18. In step S18, the processing unit 82 determines that the target component T is in an abnormal state, and in step S19, the notification unit 83 notifies the target of this situation.

[0127] (6) Effects of the implementation method

[0128] In this embodiment, the storage unit 81 stores data related to the influence of the positional difference between the accelerometer 65 and the object component T on the detection value related to the degree of impact, which is detected by the accelerometer 65. The processing unit 82 calculates the degree of impact acting on the object component T as a predicted value based on the detection value of the sensor 65 and the data stored in the storage unit 81.

[0129] One approach is to use sensors to detect physical quantities related to the degree of impact acting on a component inside a container, and then calculate the degree of impact based on the sensor readings. However, when the sensor's location differs from the location of the component, the impact degree can sometimes not be accurately determined due to the influence of this positional difference.

[0130] Specifically, the ease of impact transmission from the sensor to the object component varies depending on factors such as the path length between their positions and the method of sensor fixation. Therefore, an error can occur between the degree of impact detected by the sensor and the degree of impact acting on the object component. The problem is that when errors arise due to such differences in the positions of the sensor and the object component, the degree of impact acting on the object component cannot be determined with high accuracy.

[0131] By controlling the impact of this embodiment, even when the object component T is positioned inside the container at a different location than the acceleration sensor 65, the impact level of the object component T can be estimated with a small error, where the error is due to the effect of the positional difference. As a result, the impact level of the object component T can be estimated with high accuracy.

[0132] The number of multiple object components T is greater than the number of acceleration sensors 65. Therefore, it is possible to estimate the impact degree of multiple object components T while reducing the number of acceleration sensors 65, thereby reducing the number of components. The number of acceleration sensors 65 is preferably one.

[0133] If the estimated value exceeds the first threshold, the processing unit 82 determines that the object component T is in an abnormal state. Thus, for example, in the case of a relatively large impact on the container 10 caused by the falling of a container 10 lifted by a crane, the object component T can be quickly determined to be in an abnormal state.

[0134] If the predicted value exceeds the second threshold more than a predetermined number of times, the processing unit 82 determines that the object component T is in an abnormal state. Therefore, even if the object component T experiences plastic failure due to repeated impacts smaller than the first threshold, it can be quickly determined that the object component T is in an abnormal state.

[0135] The processing unit 82 determines whether the target component T is in an abnormal state based on the estimated value stored in the storage unit 81. Therefore, it is possible to determine with high accuracy whether the target component T is in an abnormal state based on accumulated past data.

[0136] In addition to notifying the abnormal state, the notification unit 83 also notifies the target party of the time series data related to the predicted value. By verifying the time series data of the predicted value, the target party can determine what kind of impact acted on which target component T over time. Therefore, based on this time series data, the target party can grasp the status of container 10, evaluate how container 10 was used in transportation, loading and unloading, etc., or propose better solutions for future use of container 10. The notification unit 83 can also notify the target party of the time series data related to the detection value of the acceleration sensor 65.

[0137] The accelerometer 65 is housed inside the electronic component box 60. Water, condensation, and seawater from rainfall are unlikely to penetrate the electronic component box 60. Dust and corrosive components in the air are also unlikely to penetrate the electronic component box 60. Therefore, the degradation of the accelerometer 65 can be suppressed.

[0138] An accelerometer 65 is mounted on a control board 63. This allows the control board 63 to supply power to the accelerometer 65, control the accelerometer 65, or output the detection signal from the accelerometer 65 to the control board 63. As a result, the electrical wiring of the accelerometer 65 can be shortened or substantially eliminated. Since noise superimposed on the detection signal of the accelerometer 65 can be suppressed, the accuracy of impact estimation due to noise can be prevented.

[0139] Furthermore, since the control substrate 63 is made of a plate-shaped resin material, it can also mitigate the impact attenuation acting on the acceleration sensor 65.

[0140] Because the judgment device 80 has an auxiliary power supply 84, it can continuously calculate the degree of impact acting on the container 10 as a predicted value even when the container refrigeration unit 20 is in a stopped state. Furthermore, this predicted value can be continuously stored in the storage unit 81 to obtain historical data.

[0141] Accelerometer 65 is a triaxial accelerometer. Therefore, in addition to evaluating vertical impacts generated during loading and unloading of container 10, it can also evaluate front-to-back or left-to-right impacts generated during the transportation of container 10. In particular, when container 10 is mounted on a transport vehicle such as a train or car, it can evaluate front-to-back impacts caused by braking and left-to-right impacts generated when turning on a curve.

[0142] (7) Variations

[0143] The above-described embodiments can also adopt the following modified structures.

[0144] (7-1) Variation Example 1: Judgment of fatigue failure

[0145] The processing unit 82 can also determine the fatigue failure of the object component T as an abnormal state based on the estimated value of the object component T. The processing unit 82 determines the fatigue failure of the object component T as an abnormal state based on the stress amplitude σ of the object component T and the number of cycles in which the stress amplitude σ is applied.

[0146] The fatigue failure of component T can be determined using the S-N curve (see reference). Figure 7The S-N curve is determined based on the relationship between the stress amplitude σ acting on the object component T and the number of fracture cycles N. The second data is pre-determined through experiments for each object component T and stored in the storage unit 81. The number of fracture cycles N is the number of times the object component T fractures under a certain stress amplitude σ. The larger the stress amplitude σ, the fewer the number of fracture cycles N; the smaller the stress amplitude σ, the more the number of fracture cycles N.

[0147] Reference Figure 8 The abnormality detection procedure for Modified Example 1 will be explained. In step S21, the acceleration sensor 65 detects the acceleration as the degree of impact.

[0148] In step S22, the storage unit 81 stores the detection value of the acceleration sensor 65. In step S22, the storage unit 81 stores the detection value each time the acceleration sensor 65 performs a detection.

[0149] In step S23, the processing unit 82 calculates a predicted value of the acceleration of each object component T based on the detection value of the acceleration sensor 65 and the second data stored in the storage unit 81. The details of the processing in step S23 are the same as those in step S13 described above.

[0150] In step S24, the storage unit 81 stores the estimated value of each object component T obtained in step S23. Whenever an estimated value is obtained in step S23, the storage unit 81 stores the estimated value of each object component T.

[0151] In step S25, the processing unit 82 calculates the damage degree D of each object component T. The damage degree D can be expressed by the following formula.

[0152] Damage degree D = (n1 / N1) + (n2 / N2) ... + (ni / Ni), (i = 1, 2, 3) ... (1)

[0153] Here, n1 represents the number of times stress amplitude σ1 acts on the object component T, n2 represents the number of times stress amplitude σ2 acts on the object component T, and ni represents the number of times stress amplitude σi acts on the object component T. N1 represents the number of fracture cycles when stress amplitude σ1 acts on the object component T, N2 represents the number of fracture cycles when stress amplitude σ2 acts on the object component T, and Ni represents the number of fracture cycles when stress amplitude σi acts on the object component T.

[0154] The stress amplitude σ of the object component T is related to the degree of impact (acceleration) acting on the object component T. Therefore, by using a pre-obtained correlation formula, σ1, σ2, ..., σi can be calculated based on the predicted values ​​of the object component T. Furthermore, n1, n2, ..., ni can be calculated based on the time series data of the predicted values ​​stored in the storage unit 81. Based on the above, the processing unit 82 calculates the damage degree D of each object component T using the above formula (1).

[0155] In step S26, the processing unit 82 determines whether the damage degree D of the object component T is greater than or equal to 1. The processing unit 82 performs this determination for each object component T. If the damage degree D is less than 1 in step S26, the processing returns to step S21. If the damage degree D is greater than or equal to 1 in step S26, the processing proceeds to step S27.

[0156] In step S27, the processing unit 82 determines the fatigue failure of the object component T as an abnormal state. For example, if the damage degree D of the refrigerant pipeline is 1 or higher based on the estimated value of the refrigerant pipeline, the processing unit 82 determines that the refrigerant pipeline has suffered fatigue failure as an abnormal state.

[0157] In step S28, the notification unit 83 notifies the user that fatigue failure has occurred in the object component T. The information output by the notification unit 83 includes the type of object component T. Therefore, the user can quickly grasp the situation that fatigue failure has occurred in the object component T or that the likelihood of fatigue failure is high, and thus take appropriate countermeasures.

[0158] (7-2) Variation Example 2: Variation of the first data

[0159] In the first data of the above embodiment, the correction coefficient for the object component T uses a fixed value regardless of the magnitude of the impact (acceleration). However, the storage unit 81 may also store correction coefficients that vary depending on the magnitude of the impact (acceleration). In this case, the processing unit 82 uses the detection value of the sensor 65 and the correction coefficient corresponding to the acceleration value of the detection value to calculate the magnitude of the impact of the object component T as an estimated value.

[0160] (7-3) Variation Example 3: Variation Example of Object Component

[0161] The object component T in the above embodiment includes the electronic component box 60, the base plate 22c of the housing 21, the external heat exchanger 41, the compressor 40, the external fan 42, the valve, the internal heat exchanger 44, the internal fan 45, and the refrigerant piping. The object component T may also be other components.

[0162] For example, the object component T could also be the container body 11. If an impact is applied to the container body 11, it may damage the insulation and airtightness of the container body 11. By calculating the degree of impact applied to the container body 11 as a presumed value, the deterioration of the insulation or airtightness of the container body 11 can be identified as an abnormal condition.

[0163] The object component T can also be a reservoir 54, a reservoir 56, a flat plate 22a of the housing 21, a recess 22b of the housing 21, a partition 23, a ventilator 25, or an inspection window 24. The object component T can also be a plate heat exchanger used as another heat exchanger, a heater used for defrosting, etc. The object component T can also be a four-way directional valve, a three-way valve, a rotary valve, or a check valve used as another valve. The object component T can also be a water collection tray or a drain pipe for draining water accumulated in the water collection tray.

[0164] The object component T can also be a support body that supports the above-mentioned constituent components.

[0165] The object component T can also be a component of an air conditioning unit. The air conditioning unit is installed in the container refrigeration unit 20 to regulate the composition of the air in the container's internal space 12. The air conditioning unit includes components such as an adsorption cylinder, a gas separation membrane, a pump, and air ducts.

[0166] The object component T can also be a single unit. In this case, an object component T is positioned at a different location from the sensor 65.

[0167] (7-4) Variation Example 4: Variation Example of Sensor

[0168] Accelerometer 65 can also be a single-axis accelerometer. In this case, accelerometer 65 is particularly preferred to detect acceleration along the Z-axis (vertical direction).

[0169] Accelerometer 65 can also be a six-axis accelerometer. In this case, in addition to detecting acceleration along the X, Y, and Z axes, accelerometer 65 can also detect acceleration in the rotational direction centered on these three axes. In particular, when container 10 is mounted on a vehicle, a six-axis accelerometer 65 is preferred.

[0170] Sensors used to detect the degree of impact can be contact vibration sensors such as frequency conversion type, piezoelectric type, electric type, and servo type, or non-contact vibration sensors such as eddy current type, electrostatic capacitance type, and optical type.

[0171] Sensors used to detect the degree of impact may not be sensors that detect acceleration, but rather sensors that detect velocity or the amount of displacement of the sensor's position.

[0172] The sensor 65 used to detect the degree of impact can be a GPS receiver. By using the GPS receiver, the change in the position of the GPS receiver at regular intervals can be calculated. Based on this change and time, the acceleration of the GPS receiver can be calculated, thereby enabling the detection of the degree of impact.

[0173] (7-5) Variation 5: Sensor Arrangement

[0174] like Figure 9 As shown, sensor 65 can also be mounted on communication device 62. Specifically, sensor 65 is fixed to the front surface of communication device 62 in the first space 61 inside electronic component box 60.

[0175] The sensor 65 can also be arranged outside the electronic component box 60. For example, the sensor 65 can also be installed on the compressor 40, the motor of the external fan 42, etc.

[0176] (7-6) Variation Example 6: Determining the application location of the device

[0177] The determination device 80 in the above embodiment is installed in the controller 70 of the container refrigeration unit 20. However, the determination device 80 may also be separately configured from the controller 70. The determination device 80 may also be an additional unit, which includes a sensor 65, a storage unit 81, and a processing unit 82, and can be attached to the container refrigeration unit 20. The additional unit preferably also includes a notification unit 83 and an auxiliary power supply 84.

[0178] The judgment device 80 can be installed on a server device on a network or on a communication terminal such as a smartphone. The judgment device 80 is configured such that the detection signal from the sensor 65 can be input into the judgment device 80 via wired or wireless means. The judgment device 80 is configured to output historical data stored in the storage unit 81 and judgment results of abnormal states to a designated terminal, display device, etc.

[0179] The judgment device 80 can be installed in a container 10 that does not have a refrigeration unit 20 for containers. The container 10 has a container body 11 and an opening 13 that closes the container body 11. The sensor 65 is installed on the container body 11 or the opening 13. The judgment device 80 estimates the degree of impact acting on the object component T, which is located at a different position than the sensor 65.

[0180] (7-7) Variation Example 7

[0181] Modification 7 is a judgment system 90 that includes a server device 91 having a storage unit 81 and a controller 70 having a processing unit 82.

[0182] like Figure 10As shown, the container refrigeration unit 20 includes a communication device 62 and a controller 70 as a processing device. The controller 70 includes a processing unit 82, a notification unit 83, and an auxiliary power supply 84. The controller 70 is connected to a server device 91 via the communication device 62 and a network N.

[0183] like Figure 11 As shown, the server device 91 has a CPU 92, a storage unit 81, an auxiliary storage unit 93, an I / F device 94, a server-side communication device 95, and a drive device 96 as hardware elements.

[0184] The CPU 92 (Central Processing Unit) is a computing device that executes various programs. The storage unit 81 is a storage device that stores programs, data, etc., required for CPU execution. The storage unit 81 includes hard disk drives (HDDs), random access memory (RAM), solid state drives (SSDs), etc. The auxiliary storage device 93 is an auxiliary storage device that stores various programs and information used when executing them. The I / F device 94 is a device used to connect to, communicate with, and control external machines. In this example, the operating device 111 and the display device 112 are connected to the server device 91 via the I / F device 94. The operating device 111 is an operating device for handling various operations, and the display device 112 is a display device for displaying various information. The server-side communication device 95 is a communication device for communication between the server device 91 and external machines. The drive device 96 is a device for reading data from the recording medium 113. Recording media 113 include Compact Disc Read-Only Memory (CD-ROM), magneto-optical disk, Read-Only Memory (ROM), flash memory, SSD, etc.

[0185] Similar to the embodiment described above, the storage unit 81 stores first data for estimating the impact level of the target component T. The server-side communication device 95 is connected to the target user's communication terminal. The server-side communication device 95 notifies the target user's server-side notification unit of historical data from the server device 91. The historical data includes time-series data of the detection values ​​from the accelerometer 65, the estimated impact level of each target component T, and information indicating that the target component T is in an abnormal state.

[0186] Reference Figure 12 Timing diagram and Figure 13 The flowchart provides a detailed explanation of the actions of the judgment system 90.

[0187] exist Figure 12 In step S31, the accelerometer 65 detects acceleration as the degree of impact. In step S32, the accelerometer 65 sends the detected value to the controller 70. In step S33, the controller 70 sends a signal indicating a request to send first data to the communication device 62. In step S34, the communication device 62 sends a signal indicating a request to send first data to the server device 91 via the network N.

[0188] In step S35, the server device 91 reads first data from the storage unit 81. Similar to the embodiment described above, the first data is data obtained by associating the object component T with the correction coefficient corresponding to the object component T. In step S36, the server device 91 transmits the first data to the communication device 62 via the network N. In step S37, the communication device 62 transmits the received first data to the controller 70. Thus, the server device 91 transmits the first data to the controller 70 via the communication device 62 according to a transmission request from the controller 70.

[0189] In step S50, the processing unit 82 of the controller 70 performs the same judgment process as in the above embodiment (hereinafter referred to as state judgment process).

[0190] exist Figure 13 In the state determination process shown, in step S51, the processing unit 82 calculates a predicted value of the acceleration of each object component T based on the detection value of the accelerometer 65 in step S31 and the first data stored in the storage unit 81. In other words, the processing unit 82 calculates a predicted value of the acceleration of each object component T based on the detection value of the accelerometer 65 in step S31 and the first data sent from the server device 91. Specifically, the processing unit 82 calculates the predicted value by multiplying the detected acceleration value by a correction coefficient for each object component T.

[0191] Next, in step S52, the processing unit 82 compares the predicted value obtained in step S51 with the first threshold. If the predicted value is above the first threshold in step S52, the processing proceeds to step S53. In step S53, the processing unit 82 determines that the object component T, which is the subject of the determination, is in an abnormal state.

[0192] In step S52, if the predicted value is less than the first threshold, the process proceeds to step S54. In step S54, the processing unit 82 compares the predicted value with the second threshold. If the predicted value is greater than the second threshold, the process proceeds to step S55.

[0193] In step S55, the processing unit 82 compares the number of times the estimated value exceeds the second threshold with a predetermined number. If the number of times the estimated value exceeds the second threshold is greater than the predetermined number, the processing proceeds to step S53. In step S53, the processing unit 82 determines that the object component T, which is the object of the determination, is in an abnormal state.

[0194] like Figure 12 As shown, after the state determination process in step S50, the controller 70 sends the state determination data to the communication device 62 in step S38. In step S39, the communication device 62 sends the received state determination data to the server device 91 via the network N. Here, the state determination data includes the detection value detected by the accelerometer 65, the estimated value calculated by the processing unit 82, and the judgment result of the abnormal state of the object component T. In step S40, the storage unit 81 of the server device 91 stores the state determination data as historical data. Thus, the detection value, the estimated value, and the judgment result of the abnormal state can be stored as historical data in the storage unit 81 of the server device 91.

[0195] In step S41, if the status determination process in step S50 determines that an abnormal state is being observed, the server-side communication device 95 of the server device 91 notifies the target user of information indicating that the target component T is in an abnormal state. Specifically, the server-side communication device 95 sends data indicating an abnormal state to the communication terminal owned by the target user. Thus, the target user can quickly grasp that the target component T is in an abnormal state and take appropriate countermeasures.

[0196] After the status determination process in step S50, the controller 70 executes the process in step S43. In step S43, if the status determination process determines that the object component T is in an abnormal state, then in step S44, the notification unit 83 of the controller 70 notifies the user of information indicating that the object component T is in an abnormal state. Thus, the user can quickly grasp that the object component T is in an abnormal state and take appropriate countermeasures.

[0197] In variation 7, when it is determined that the object component T is in an abnormal state, either the notification unit 83 of the controller 70 or the server-side communication device 95 may notify the object of the abnormal state.

[0198] In steps S33 and S34 of Variation 7, the timing of the request to send the first data can be the moment when the accelerometer 65 receives the detected value, or it can be any other predetermined moment. For example, the moment when container 10 is on land. This is because when container 10 is on land, the recipient of the notification can immediately perform inspections, repairs, and select container 10.

[0199] Whether container 10 is located on land can be determined by GPS sensors to determine its location, by input from the recipient, or by whether the recipient's communication terminal can communicate.

[0200] The structure of Modification 7 described above can be applied to Modifications 1 through 6. For example, in the judgment system 90 of Modification 7, when performing the judgment process of Modification 1, the storage unit 81 of the server device 91 stores first data and second data. The controller 70 sends a transmission request to the server device 91 via the communication device 62, requesting the server device 91 to send the first data and second data stored in the storage unit 81. Based on the transmission request, the server device 91 sends the first data and second data stored in the storage unit 81 to the controller 70 via the communication device 62. Figure 8 The same process applies; the controller 70 determines the fatigue failure of the object component T based on the detection value of the acceleration sensor 65, the first data, and the second data.

[0201] (8) Judgment methods and procedures

[0202] The judgment method disclosed herein includes a storage step and a deduction step. In the storage step, data related to the influence of the positional difference between the sensor 65 and the object component T on the detection value related to the impact degree is stored. The detection value related to the impact degree is detected by the sensor 65 arranged at the container 10 containing the object component T. In the deduction step, the degree of impact acting on the object component T is calculated as a deduced value based on the detection value of the sensor 65 and the data stored in the storage step. Here, the judgment method may include... Figure 6 , Figure 8 , Figure 12 as well as Figure 13 Any of the steps shown.

[0203] The program disclosed herein causes a computer to perform a storage step and a estimation step. In the storage step, data relating to the effect of the positional difference between sensor 65 and object component T on a detection value related to the degree of impact, said detection value being detected by sensor 65 located at container 10 containing object component T, is stored. In the estimation step, the degree of impact acting on object component T is calculated as an estimation value based on the detection value of sensor 65 and the data stored in the storage step. Here, the program may also cause the computer to perform... Figure 6 , Figure 8 , Figure 12 as well as Figure 13Any of the steps shown. The program may be stored in any one of the controller 70, communication terminal, server device, and storage medium, or it may be stored separately in two or more of them.

[0204] (9) Reference method

[0205] If the detection value of sensor 65 exceeds the first threshold, the processing unit 82 of the reference mode judgment device 80 determines that the object component T is in an abnormal state.

[0206] If the number of times the detection value of sensor 65 exceeds the second threshold exceeds a predetermined number, the processing unit 82 of the reference mode judgment device 80 determines that the object component T is in an abnormal state.

[0207] The processing unit 82 of the reference mode judgment device 80 determines the fatigue failure of the object component T as an abnormal state based on the detection value of the sensor 65. Specifically, the processing unit 82 determines the fatigue failure of the object component T as an abnormal state based on the stress amplitude σ of the object component T calculated from the detection value of the sensor 65 and the number of cycles in which the stress amplitude σ is applied.

[0208] The detailed operation of the determination device 80 in these reference methods is the same as that in the above-described embodiments and variations.

[0209] The embodiments and modifications have been described above, but it should be understood that various changes can be made to their form and specific details without departing from the spirit and scope of the claims. As long as the function of the object of this disclosure is not affected, the above embodiments, modifications, and other embodiments can be appropriately combined or substituted.

[0210] The terms "first," "second," "third," etc., mentioned above are only used to distinguish statements containing these terms and are not intended to limit the number or order of the statements.

[0211] -Industry Applicability-

[0212] In summary, this disclosure is very useful for the determination device.

[0213] - Symbol Explanation -

[0214] 10 containers

[0215] 11. Container body

[0216] Refrigeration units for 20 containers

[0217] 21. Shell

[0218] 22. Main body of the shell

[0219] 40 Compressor

[0220] 41 External heat exchanger (heat exchanger)

[0221] 42 External fan (fan)

[0222] 44. Internal heat exchanger (heat exchanger)

[0223] 45. Internal fan (fan)

[0224] 51 Expansion valve (valve)

[0225] 52. Discharge pipe (refrigerant pipeline)

[0226] 53. Suction pipe (refrigerant pipe)

[0227] 55 Liquid pipe (refrigerant pipe)

[0228] 57. Bypass pipe (refrigerant pipe)

[0229] 58 First valve (valve)

[0230] 59 Second valve (valve)

[0231] 60 Electronic Component Box

[0232] 62 Communication devices

[0233] 63 Control board

[0234] 65 Accelerometer (Sensor)

[0235] 70 Controller (Processing Unit)

[0236] 80 Judgment Device

[0237] 81 Storage Department

[0238] 82 Processing Department

[0239] 83 Notification Department

[0240] 91 server devices

[0241] T object component

Claims

1. A determining device, characterized in that: The judgment device includes a storage unit (81) and a processing unit (82). The storage unit (81) stores data related to the influence of the positional difference between the sensor (65) and the object component (T) on the impact-related detection value, which is detected by the sensor (65) located at the container (10) containing the object component (T). The processing unit (82) calculates the degree of impact acting on the object component (T) as a predicted value based on the detection value of the sensor (65) and the data stored in the storage unit (81).

2. The determining device according to claim 1, characterized in that: If the predicted value exceeds the first threshold, the processing unit (82) determines that the object component (T) is in an abnormal state.

3. The determining device according to claim 1, characterized in that: If the number of times the predicted value exceeds the second threshold exceeds a predetermined number, the processing unit (82) determines that the object component (T) is in an abnormal state.

4. The determining device according to any one of claims 1 to 3, characterized in that: The storage unit (81) stores the predicted value. The processing unit (82) determines whether the object component (T) is in an abnormal state based on the estimated value stored in the storage unit (81).

5. The determining device according to claim 4, characterized in that: The processing unit (82) determines the fatigue failure of the object component (T) as an abnormal state based on the estimated value.

6. The determining device according to any one of claims 1 to 3, characterized in that: The judgment device includes a notification unit (83) that notifies the subject of historical data related to the predicted value.

7. A refrigeration device for a container, characterized in that: The container refrigeration unit includes the judgment device (80) as described in any one of claims 1 to 3, the object component (T), and the sensor (65). The container refrigeration unit cools the interior of the container body (11) of the container (10).

8. The refrigeration unit for containers according to claim 7, characterized in that: The container refrigeration unit includes an electronic component box (60) for storing electronic components. The sensor (65) is arranged inside the electronic component box (60).

9. The refrigeration device for containers according to claim 8, characterized in that: The electronic components include a control board (63). The sensor (65) is arranged on the control board (63).

10. The refrigeration device for containers according to claim 7, characterized in that: The container refrigeration unit includes a communication device (62) for communicating with other devices. The sensor (65) is mounted on the communication device (62).

11. The refrigeration device for containers according to claim 7, characterized in that: The object component (T) is at least one of the housing (21), electronic component box (60), compressor (40), heat exchanger (41, 44), fan (42, 45), refrigerant pipe (52, 53, 55, 57), valve (51, 58, 59) of the container refrigeration unit (20) and the container body (11).

12. A container, characterized in that: The container includes the judgment device (80) as described in any one of claims 1 to 3, the object component (T), and the sensor (65).

13. A judgment system, characterized in that: The judgment system includes a server device (91) having a storage unit (81) and a processing device (70) having a processing unit (82). The storage unit (81) stores data related to the influence of the positional difference between the sensor (65) and the object component (T) on the impact-related detection value, which is detected by the sensor (65) located at the container (10) containing the object component (T). The processing unit (82) calculates the degree of impact acting on the object component (T) as a predicted value based on the detection value of the sensor (65) and the data stored in the storage unit (81).

14. The judgment system according to claim 13, characterized in that: The processing device (70) sends a request to the server device (91) via the communication device (62) to send the data stored in the storage unit (81). The server device (91) sends the data stored in the storage unit (81) to the processing device (70) via the communication device (62) according to the sending request.

15. A method for determining this, characterized in that: The judgment method includes a storage step and a deduction step. In the storage step, data related to the effect of the positional difference between the sensor (65) and the object component (T) on the impact-related detection value is stored. The impact-related detection value is detected by the sensor (65) located at the container (10) containing the object component (T). In the estimation step, the degree of impact acting on the object component (T) is calculated as an estimated value based on the detection value of the sensor (65) and the data stored in the storage step.

16. A computer program product, characterized in that: The computer program product causes the computer to perform storage and speculation steps. In the storage step, data related to the effect of the positional difference between the sensor (65) and the object component (T) on the impact-related detection value is stored. The impact-related detection value is detected by the sensor (65) located at the container (10) containing the object component (T). In the estimation step, the degree of impact acting on the object component (T) is calculated as an estimated value based on the detection value of the sensor (65) and the data stored in the storage step.