JP7195852B2 - Evaluation device and evaluation program - Google Patents

Description

An embodiment of the present invention relates to an evaluation program for causing an evaluation device and a computer to function as the evaluation device.

BACKGROUND ART Vehicles, warehouses, etc. used in the distribution process are devised so as to maintain freshness as much as possible when perishable products such as fruits, fresh fish, meat, or fresh flowers are delivered to stores. However, it is undeniable that the condition of perishable products may deteriorate due to environmental changes that occur during transportation in vehicles or storage in warehouses. For this reason, there is already known a technique for monitoring temperature, humidity, etc. in the physical distribution process and issuing a warning when an abnormal value occurs.

However, with technology that issues a warning when an abnormal value occurs, there is no risk of deterioration in the condition of perishable goods due to the continuation or frequent repetition of values that are relatively close to abnormal values, even though they do not become abnormal values. There are concerns that cannot be addressed.

JP 2015-187857 A

A problem to be solved by the embodiments of the present invention is to provide an evaluation apparatus capable of evaluating the state of an evaluation object in a physical distribution process with high reliability.

In one embodiment, the evaluation device includes detection value acquisition means, integration means, evaluation point calculation means, and evaluation means. The detection value acquisition means acquires the detection value of the load detected by the sensor that periodically detects the load applied to the evaluation object and affecting the state of the evaluation object for each process in the distribution process of the evaluation object. get. The accumulating means accumulates the number of times the load detection value obtained by the detection value obtaining means is out of the allowable range for the load for each process of the physical distribution process . The evaluation point calculation means calculates an evaluation point for evaluating the state of the evaluation object based on the integrated value by the integration means for each process of the physical distribution process . The evaluation means totals the evaluation points calculated in each process up to the relevant process for each process of the distribution process, and evaluates the state of the evaluation object up to the relevant process based on the total evaluation points. do.

1 is a system configuration diagram showing a distribution system and an evaluation system according to this embodiment; FIG. FIG. 3 is a schematic diagram showing the data structure of code symbols used in this embodiment. FIG. 2 is a schematic diagram showing the hardware configuration of a sensor terminal used in this embodiment; FIG. 2 is a schematic diagram showing the hardware configuration of a reading terminal used in this embodiment; FIG. 2 is a block diagram showing the main circuit configuration of an evaluation server used in this embodiment; FIG. 6 is a schematic diagram showing the data structure of a threshold record stored in the threshold database shown in FIG. 5; FIG. 6 is a schematic diagram showing the data structure of evaluation records stored in the evaluation database shown in FIG. 5; FIG. 5 is a flowchart showing the procedure of state evaluation processing executed by the processor shown in FIG. 4 according to an evaluation program; FIG. FIG. 5 is a flowchart showing the procedure of state evaluation processing executed by the processor shown in FIG. 4 according to an evaluation program; FIG. FIG. 5 is a flowchart showing the procedure of state evaluation processing executed by the processor shown in FIG. 4 according to an evaluation program; FIG. FIG. 11 is a flowchart showing the first half of the specific procedure of the evaluation point calculation process shown in FIG. 9 or 10; FIG. FIG. 11 is a flowchart showing the second half of the specific procedure of the evaluation point calculation process shown in FIG. 9 or FIG. 10; FIG.

An embodiment of an evaluation apparatus that can highly reliably evaluate the state of an evaluation object in a physical distribution process will be described below with reference to the drawings. In the present embodiment, perishable products such as fruits and vegetables, fresh fish, meat, and flowers are used as examples of evaluation objects. Then, with the temperature, humidity, and acceleration as loads that affect the state of the evaluation object, the evaluation object in the distribution process from the sender to the distribution center and transported to the store. state, that is, an evaluation device that evaluates freshness.

First, using the system diagram of FIG. 1, a physical distribution system for evaluation objects and an evaluation system including an evaluation device applied to this physical distribution system will be described. A physical distribution system includes a first transport process, a storage process, and a second transport process. The first transporting step is a step of transporting the package 1 containing perishable products manufactured at the manufacturer or harvested at the harvesting source from the sender A to the distribution center B on a transfer body T1 such as a vehicle. . The storage step is a step of storing the package 1 transported to the distribution center B in a warehouse for a certain period of time. The second transport step is a step of transporting the package 1 stored in the warehouse of the distribution center B to the store C by placing it on a transfer body T2 such as a vehicle. Although there are a plurality of senders A and stores B, only one of them is shown in FIG.

The evaluation system includes a code symbol 2 and a sensor terminal 3 provided on each package 1, reading terminals 4A, 4B and 4C provided at each sender A, distribution center B and each store C, and an evaluation server 5. , a communication network 6 . The communication network 6 connects the reading terminals 4A, 4B, 4C and the evaluation server 5 by wire or wirelessly, and is capable of transmitting data from the reading terminals 4A, 4B, 4C to the evaluation server 5. be. For example, the Internet is applied as communication network 6 .

As shown in the data configuration diagram of FIG. 2, the code symbol 2 is obtained by converting the sensor terminal ID 21 and the product code 22 into code symbols. The sensor terminal ID 21 is an identification code of the sensor terminal 3 provided on the package 1 together with the code symbol 2 . Each sensor terminal 3 is set with a different unique identification code. Hereinafter, the identification code set in the sensor terminal 3 will be referred to as a sensor terminal ID21. The product code 22 is the identification code of the perishable product housed in the package 1 . Each fresh product is assigned a different and unique product code 22 . A code symbol 2 of this kind is composed of, for example, a two-dimensional data code. Code symbol 2 may consist of a bar code or a string of numbers. Note that the code symbol 2 may include data items other than the sensor terminal ID 21 and product code 22 .

The sensor terminal 3 includes a controller 31, a memory 32, a short-range wireless unit 33, a clock 34, a temperature sensor 35, a humidity sensor 36, and an acceleration sensor 37, as shown in the hardware configuration diagram of FIG. The controller 31 controls operations as the sensor terminal 3 . The memory 32 stores various data. The short-range wireless unit 33 performs wireless communication with other short-range wireless communication units according to the standard of short-range wireless communication. Clock 34 keeps date and time. The temperature sensor 35 detects the temperature of the environment in which the sensor terminal 3 is placed. The humidity sensor 36 detects the humidity of the environment in which the sensor terminal 3 is placed. The acceleration sensor 37 detects acceleration caused by movement of the sensor terminal 3 .

The sensor terminal 3 having such a configuration performs the following operations under the control of the controller 31 . That is, the sensor terminal 3 waits for the time clocked by the clock 34 to pass a predetermined sampling time while the package 1 is transported from the sender A to the store C via the distribution center B. The sampling time is, for example, 1 second. The sensor terminal 3 acquires each detection value of the temperature sensor 35, the humidity sensor 36, and the acceleration sensor 37 each time the sampling time elapses. Then, the sensor terminal 3 stores each detected value in the memory 32 in association with the time at that time. Thus, the sensor terminal 3 stores the temperature data detected by the temperature sensor 35, the humidity data detected by the humidity sensor 36, and the acceleration data detected by the acceleration sensor 37 in time series in the memory 22. It is configured.

Here, the temperature and humidity of the environment in which the sensor terminal 3 is placed serve as a load that affects the freshness of perishables stored in the package 1 provided with the sensor terminal 3 . Moreover, the acceleration caused by the movement of the sensor terminal 3 is also a load that affects the freshness of the perishable product. That is, the temperature sensor 35, the humidity sensor 36, and the acceleration sensor 37 function as sensors that periodically detect the load that affects the state of the evaluation object during the distribution process of the evaluation object.

The sensors included in the sensor terminal 3 are not limited to the three types of the temperature sensor 35, the humidity sensor 36, and the acceleration sensor 37. For example, if the only load that affects the state of the object to be evaluated is temperature, the sensor terminal 3 having only the temperature sensor 35 may be used. If the load that affects the state of the object to be evaluated is temperature and humidity, the sensor terminal 3 having the temperature sensor 35 and the humidity sensor 36 may be used. Also, if factors other than temperature, humidity, or acceleration exist as loads that affect the state of the object to be evaluated, the sensor terminal 3 having a sensor that detects values that are factors may be applied. In this embodiment, for convenience of explanation, the sensor terminal 3 is assumed to have three types of temperature sensor 35 , humidity sensor 36 and acceleration sensor 37 . In this case, it is arbitrary which of the temperature sensor 35, humidity sensor 36 and acceleration sensor 37 is used as the first sensor and which sensor is used as the second sensor.

The reading terminals 4A, 4B and 4C have the same configuration. However, different identification codes, so-called reading terminal IDs, are set for each. In this embodiment, "RT1" is set as the reading terminal ID for the reading terminal 4A, "RT2" is set as the reading terminal ID for the reading terminal 4B, and "RT2" is set as the reading terminal ID for the reading terminal 4C. It is assumed that "RT3" is set as the reading terminal ID.

The reading terminals 4A, 4B, 4C, as shown in the hardware configuration diagram of FIG. 48 included. The controller 41 controls operations as the reading terminals 4A, 4B, and 4C. The memory 42 stores various data. The short-range wireless unit 43 performs wireless communication with other short-range wireless communication units according to the standard of short-range wireless communication. Clock 44 keeps date and time. The operation device 45 receives operation instructions from operators of the reading terminals 4A, 4B, and 4C. The operation device 45 includes a send button for commanding data transmission. The communication unit 46 performs data communication with the evaluation server 5 via the communication network 6 . Code reader 47 reads code symbol 2 . The code reader 47 may be of a type that reads code symbols by scanning with laser light, or of a type that reads code symbols from an image captured by an imaging device. Output device 48 outputs a warning. Output device 48 may be, for example, a display device for displaying warning messages. Output device 48 may be, for example, an audio output device that emits warning messages. Alternatively, output device 48 may comprise a display device and an audio output device as described above.

The reading terminals 4A, 4B, and 4C having such a configuration perform the following operations under the control of the controller 41. FIG. That is, the reading terminals 4A, 4B, and 4C read the data of the code symbol 2 when the reading window of the code reader 47 is held over the code symbol 2 provided on the package 1 by the operation of the operator. When the reading terminals 4A, 4B, and 4C are brought close to the sensor terminal 3 provided on the package 1 by the operation of the operator, the short-range wireless units 33 and 43 of both of them operate to read the memory 32 of the sensor terminal 3. Read the sensor data stored in the , namely temperature data, humidity data and acceleration data. After that, when the transmission button is operated by the operator, the reading terminals 4A, 4B, and 4C transmit the sensor data read from the sensor terminal 3 together with the data of the code symbol 2 to the evaluation server 5 via the communication network 6. .

Thus, the reading terminals 4A, 4B, and 4C transmit the temperature data, humidity data, and acceleration data read from the sensor terminal 3 to the evaluation server 5 together with the sensor terminal ID 21 and product code 22 read from the code symbol 2. is configured to

Note that when the data of the code symbol 2 is read and the sensor data is read, the read data may be transmitted to the evaluation server 5 without the transmission button being operated. That is, the operation buttons may be omitted from the reading terminals 4A, 4B, and 4C.

The evaluation server 5 is one form of an evaluation device. The evaluation server 5 is a computer managed by an evaluation company. The evaluation company is not particularly limited. The evaluation business operator may be a corporate body that controls physical distribution or a corporate body that controls stores. Alternatively, the evaluation company may be a business entity specializing in evaluation commissioned by these business entities. The evaluation server 5 may be composed of a single computer, or may be composed of a plurality of computers. The evaluation server 5 may be a computer placed on the cloud.

FIG. 5 is a block diagram showing the main circuit configuration of the evaluation server 5. As shown in FIG. As shown in FIG. 5, the evaluation server 5 comprises a processor 51, a main memory 52, an auxiliary storage device 53, a clock 54, a communication interface 55 and a system transmission line 56. The system transmission line 56 includes an address bus, a data bus, control signal lines and the like. A system transmission line 56 connects the processor 51 and other units directly or via a signal input/output circuit, and transmits data signals exchanged between them. A computer of the evaluation server 5 is configured by connecting the processor 51 , the main memory 52 and the auxiliary storage device 53 via a system transmission line 56 .

The processor 51 corresponds to the central portion of the computer. The processor 51 controls each part to realize various functions of the evaluation server 5 according to an operating system or application program. The processor 51 is, for example, a CPU (Central Processing Unit).

The main memory 52 corresponds to the main memory portion of the computer. Main memory 52 includes a non-volatile memory area and a volatile memory area. The main memory 52 stores an operating system or application programs in a non-volatile memory area. The main memory 52 may store data necessary for the processor 51 to execute processing for controlling each part in a non-volatile or volatile memory area. The main memory 52 uses a volatile memory area as a work area in which data is appropriately rewritten by the processor 51 . The non-volatile memory area is, for example, ROM (Read Only Memory). A volatile memory area is, for example, a RAM (Random Access Memory).

The auxiliary storage device 53 corresponds to the auxiliary storage portion of the computer. For example, an EEPROM (Electric Erasable Programmable Read-Only Memory), HDD (Hard Disk Drive), SSD (Solid State Drive), or the like can be the auxiliary storage device 53 . The auxiliary storage device 53 stores data used when the processor 51 performs various processes, data created by the processes performed by the processor 51, and the like. The auxiliary storage device 53 may store the above application programs.

Clock 54 keeps date and time. The processor 51 acquires the date and time clocked by the clock 54 as the current date and time.

Communication interface 55 is connected to communication network 6 . The communication interface 55 is connected to reading terminals 4A . 4B. Data communication is performed via a communication network 6 according to a communication protocol set in advance with 4C.

The evaluation server 5 having such a configuration uses a part of the storage area of the auxiliary storage device 53 as the threshold database 71 and the evaluation database 72 .

FIG. 6 is a schematic diagram showing the data structure of the threshold record 71R stored in the threshold database 71. As shown in FIG. As shown in FIG. 6, the threshold record 71R stores the first process data TA1, the second process data TA2, the third process data TA3, and the evaluation score threshold N in association with the product code.

The first process data TA1 is associated with the process code "001", weighting coefficients w1, w2, w3 and allowable lower limit values d1, h1, g1 for each sensor type of the temperature sensor 35, humidity sensor 36, and acceleration sensor 37. and allowable upper limits d2, h2, g2. The second process data TA2 are weighted coefficients w1, w2, w3 and allowable lower limit values d1, h1, g1 for each sensor type of the temperature sensor 35, the humidity sensor 36, and the acceleration sensor 37 in association with the process code "002". and allowable upper limits d2, h2, g2. The third process data TA3 are weighted coefficients w1, w2, w3 and allowable lower limit values d1, h1, g1 for each sensor type of the temperature sensor 35, the humidity sensor 36, and the acceleration sensor 37 in association with the process code "003". and allowable upper limits d2, h2, g2.

The process code is a code for identifying each process in the physical distribution process, that is, the first transfer process, the storage process, and the second transfer process. In this embodiment, the process code for the first transport process is "001", the process code for the storage process is "002", and the process code for the third transport process is "003".

The weighting factors w1, w2, and w3 correspond to the detection values of the sensors specified by the corresponding sensor types "temperature", "humidity", and "acceleration" in the process of the physical distribution process specified by the corresponding process code. This is a coefficient that indicates the degree of influence on the state of the perishable product specified by the product code. The weighting coefficients w1, w2, and w3 take larger values as the degree of influence on the state of perishables increases. The weighting coefficients w1, w2, and w3 are "0" when they do not affect the state of perishables. For example, the detection value of the acceleration sensor 37 is considered to have a large degree of influence in the first transport process or the second transport process, but a small degree of influence in the storage process. In such a case, the weighting factor w3 of the sensor type "acceleration" corresponding to the process code [001] or [003] is a larger value than the weighting factor w3 of the sensor type "acceleration" corresponding to the process code [002]. Become. Also, for example, there are perishable products that are sensitive to temperature and fresh products that are not. In such a case, the weighting factor w1 of the sensor type "temperature" corresponding to the product code of the perishable product that is susceptible to the influence of temperature is It has a larger value than the weighting factor w1.

Allowable lower limit values d1, h1, g1 and allowable upper limit values d2, h2, g2 are specified by the corresponding sensor types "temperature", "humidity", and "acceleration" in the logistics process specified by the corresponding process code. It is the lower limit value and the upper limit value of the allowable range that is assumed that the detected value of the sensor specified by the corresponding product code does not affect the state of the perishable product specified by the corresponding product code. For example, in the first transport process, in the case of a perishable product that is assumed to have no effect if the temperature is within the range of 10° C. to 25° C., the process code [001 ] is "10", and the allowable upper limit d2 is "25". In addition, if the perishable product is assumed to have no effect in the storage process if the temperature is within the range of 8°C to 28°C, the allowable lower limit temperature corresponding to the process code [002] of the threshold record 71R d1 is "8" and the allowable upper limit value d2 is "28".

As for the evaluation point threshold value N, if the evaluation point calculated by the evaluation point calculation process described later is equal to or less than the evaluation point threshold value N, the freshness of the perishable product specified by the corresponding product code has not deteriorated, but the evaluation point It is a threshold for evaluating that the freshness has deteriorated when the threshold N is exceeded.

For each perishable product that is an object to be evaluated, the evaluation operator sets weighting coefficients w1, w2, and w3 for each process code, allowable lower limit values d1, h1, and g1, allowable upper limit values d2, h2, and g2, and evaluates A proper value with respect to the point threshold N is obtained, a threshold record 71R is created, and stored in the threshold database 71. FIG.

FIG. 7 is a schematic diagram showing the data structure of an evaluation record 72R stored in the evaluation database 72. As shown in FIG. As shown in FIG. 7, the evaluation record 72R includes a sensor terminal ID, product code, process code, first evaluation point Va, second evaluation point Vb, third evaluation point Vc, total evaluation point V, evaluation flag F, and update Contains date and time data. The first evaluation point Va is an evaluation point calculated in an evaluation point calculation process, which will be described later regarding the first transport process. The second evaluation point Vb is an evaluation point calculated in an evaluation point calculation process, which will be described later, regarding the storage process. The third evaluation point Vc is an evaluation point calculated in evaluation point calculation processing described later regarding the second transport process. The total evaluation point V is the total value of the first evaluation point Va, the second evaluation point Vb, and the third evaluation point Vc. The evaluation flag F is 1-bit data for identifying whether or not the condition of the perishable product conveyed by the package 1 provided with the sensor terminal 3 having the corresponding sensor terminal ID is good. In this embodiment, the evaluation flag is set to "0" when it is good, and the evaluation flag is set to "1" when it is bad. The update date and time is the latest date when the evaluation record 72R was updated.

Next, the operation of the evaluation server 5 will be described with reference to the flowcharts of FIGS. 8 to 12. FIG.
8 to 10 are flowcharts showing the procedure of state evaluation processing executed by the processor 51 of the evaluation server 5 according to the evaluation program. 11 and 12 are flowcharts specifically showing the procedure of evaluation point calculation processing executed in the state evaluation processing. The evaluation program is stored in main memory 52 or auxiliary storage device 53 . It should be noted that the contents of the processes shown in the drawings and described below are examples. The processing procedure and processing contents are not particularly limited as long as similar results can be obtained.

First, packages 1 containing perishable products manufactured at a manufacturer or harvested at a harvesting source are collected at a shipping source A. At the sender A, each package 1 is attached with a sensor terminal 3 . Also, a code symbol 2 obtained by converting the sensor terminal ID 21 of the sensor terminal 3 and the product code 22 of the perishable product housed in the package 1 into a code symbol is attached to the package 1 .

The person in charge of shipping at the sender A holds the reading window of the code reader 47 provided in the reading terminal 4A over the code symbol 2 to read the data of the code symbol 2 . Also, the person in charge of shipping brings the reading terminal 4A close to the sensor terminal 3. FIG. Then, short-range wireless communication is performed between the reading terminal 4</b>A and the sensor terminal 3 . Through this short-range wireless communication, time-series sensor data stored in the memory 32 of the sensor terminal 3, that is, temperature data, humidity data, and acceleration data are transmitted to the reading terminal 4A. Then, the transmitted sensor data is cleared, and then new sensor data is stored in the memory 32 together with the detection time.

The person in charge of shipping presses the send button of the operation device 45 . Then, the controller 41 of the reading terminal 4A controls the communication unit 46 so as to transmit the data of the code symbol 2 and the sensor data to the evaluation server 5. FIG. By this control, read terminal data is transmitted to the evaluation server 5 via the communication network 6 . The reading terminal data includes the ID "RT1" of the reading terminal 4A in addition to the code symbol 2 data and sensor data.

The processor 51 of the evaluation server 5 waits to receive read terminal data as Act 1 in FIG. 8 in the idle state in which the evaluation program is activated. When the processor 51 detects that the read terminal data has been received via the communication interface 55, the processor 51 determines YES in Act1, and proceeds to Act2. The processor 51 detects the reading terminal ID from the reading terminal data as Act2.

In Act 3, the processor 51 confirms whether or not the reading terminal ID is the ID of the reading terminal 4A, that is, "RT1". In this case, since the reading terminal ID is "RT1", the processor 51 determines YES in Act3, and proceeds to Act4. The processor 51 creates a new evaluation record 72R as Act4. Then, in Act 5, the processor 51 writes the sensor terminal ID 21 and the product code 22 obtained from the data of the code symbol 2 in the evaluation record 72R. The processor 51 writes the process code "001" indicating the first transport process as Act6 in the same evaluation record 72R. The processor 51 resets the evaluation flag F of the same evaluation record 72R to "0" as Act7. In Act8, the processor 51 sets the date and time measured by the clock 54 as the update date and time of the evaluation record 72R. Thereafter, the processor 51 stores the same evaluation record 72R in the evaluation database 72 as Act9. With this, the processor 51 ends the data processing when receiving the reading terminal data from the reading terminal 4A. After finishing the data processing, the processor 51 returns to the idle state.

The package 1 that has completed the shipping operation at the shipping source A is placed on the transfer body T1 and conveyed to the distribution center B. During this period, the sensor terminal 3 attached to the package 1 periodically detects temperature, humidity, and acceleration, and stores the temperature data, humidity data, and acceleration data in the memory 32 as time-series sensor data.

Now, when the package 1 arrives, the person in charge of delivery at the distribution center B holds up the reading window of the code reader 47 provided in the reading terminal 4B to the code symbol 2 attached to the package 1 to read the code. Read the data for symbol 2. Also, the person in charge of receiving goods brings the reading terminal 4B close to the sensor terminal 3 . Then, short-range wireless communication is performed between the reading terminal 4B and the sensor terminal 3 . Through this short-range wireless communication, time-series sensor data stored in the memory 32 of the sensor terminal 3 is transmitted to the reading terminal 4B. Then, the transmitted sensor data is cleared, and then new sensor data is stored in the memory 32 together with the detection time.

The person in charge of receipt presses the send button of the operation device 45 . Then, the controller 41 of the reading terminal 4B controls the communication unit 46 so as to transmit the data of the code symbol 2 and the sensor data to the evaluation server 5. FIG. By this control, read terminal data is transmitted to the evaluation server 5 via the communication network 6 . The reading terminal data includes the ID "RT2" of the reading terminal 4B in addition to the code symbol 2 data and sensor data.

Processor 51 in the idle state waits to receive read terminal data as Act 1 as described above. When detecting that the reading terminal data is received via the communication interface 55, the processor 51 detects the reading terminal ID from the reading terminal data as Act2. In this case, the reading terminal ID is not the ID of reading terminal 4A. Therefore, the processor 51 determines NO in Act3, and proceeds to Act10. In Act 10, the processor 51 confirms whether or not the reading terminal ID is the ID of the reading terminal 4B, that is, "RT2". In this case, since the reading terminal ID is "RT2", the processor 51 determines YES in Act10 and proceeds to Act11 in FIG.

The processor 51 searches the evaluation database 72 with the sensor terminal ID of the data of the code symbol 2 included in the read terminal data as Act11. The processor 51 then reads from the evaluation database 72 the evaluation record 72R in which the same sensor terminal ID is set. If there are a plurality of evaluation records 72R with the same sensor terminal ID set in the evaluation database 72, the processor 51 reads the evaluation record 72R with the latest update date. By reading the evaluation record 72R with the latest update date in this way, the sensor terminal 3 attached to the package 1 transported to the store C can be reused.

After reading the evaluation record 72R, the processor 51 checks the evaluation flag F of the evaluation record 72R in Act12. Here, since the evaluation flag F is reset to "0", the processor 51 determines NO in Act12 and proceeds to Act13. In Act13, the processor 51 confirms whether or not the process code included in the evaluation record 72R is "001". In this case, the process code is "001", so the processor 51 determines YES in Act13 and proceeds to Act14.

As Act14, the processor 51 searches the threshold database 71 with the product code and the process code "001" included in the evaluation record 72R. Then, the first process data TA1 including the process code "001" is acquired from the threshold record 71R in which the same product code is set. In Act 15, the processor 51 acquires the sensor data Sa from the read terminal data. The sensor data Sa are the temperature sensor 35 and the humidity sensor of the sensor terminal 3 attached to the package 1 while the package 1 is placed on the transfer body T1 and transported from the sender A to the distribution center B. 36 and acceleration sensor 37, respectively, in chronological order.

In this way, the processor 51 that has acquired the first process data TA1 and the sensor data Sa executes evaluation point calculation processing as Act16. This evaluation point calculation process is executed according to the procedure shown in the flow charts of FIGS.

That is, the processor 51 initializes the temperature counter dn to "0" as Act 61 in FIG. A temperature counter dn is formed in a volatile area of the main memory 52 . In Act 62, the processor 51 samples the temperature data of the sensor data at predetermined intervals, for example, every 10 seconds. Then, in Act 63, the processor 51 determines whether the temperature sampling data d is within the allowable range from the allowable lower limit value d1 to the allowable upper limit value d2 corresponding to the sensor type "temperature" of the first process data TA1. If the sampling data d of the temperature data is within the allowable range, the processor 51 determines YES in Act63 and proceeds to Act65. On the other hand, if the sampling data d of the temperature data is outside the allowable range, the processor 51 determines NO in Act63 and proceeds to Act64. The processor 51 counts up the temperature counter dn by "1" as Act64. The processor 51 then proceeds to Act65.

The processor 51 determines in Act 65 whether or not the temperature data sampling has ended. If the sampling of temperature data has not ended, the processor 51 determines NO in Act 65 and returns to Act 62 . That is, processor 51 continues to sample temperature data. The processor 51 counts up the temperature counter dn by "1" each time it confirms that the temperature sampling data d is out of the allowable range.

After completing the temperature data sampling, the processor 51 determines YES in Act 65 and proceeds to Act 66 . The processor 51 initializes the humidity counter hn to "0" as Act66. The humidity counter hn is formed in the volatile area of the main memory 52 . In Act 67, the processor 51 samples the humidity data of the sensor data at predetermined intervals, for example, every 15 seconds. Then, in Act 68, the processor 51 determines whether or not the sampling data h of the humidity data is within the allowable range from the allowable lower limit value h1 to the allowable upper limit value h2 corresponding to the sensor type "humidity" of the first process data TA1. If the sampling data h of the humidity data is within the allowable range, the processor 51 determines YES in Act68 and proceeds to Act70. On the other hand, if the sampling data h of the humidity data is outside the allowable range, the processor 51 determines NO in Act 68 and proceeds to Act 69 . The processor 51 counts up the humidity counter hn by "1" in Act69. The processor 51 then proceeds to Act70.

The processor 51 determines in Act 70 whether or not sampling of the humidity data has ended. If the humidity data sampling has not ended, the processor 51 determines NO in Act 70 and returns to Act 67 . That is, processor 51 continues to sample humidity data. Then, the processor 51 counts up the humidity counter hn by "1" each time it confirms that the sampling data h of the humidity data is out of the allowable range.

After completing the humidity data sampling, the processor 51 determines YES in Act70, and proceeds to Act71 in FIG. The processor 51 initializes the acceleration counter gn to "0" as Act71. The acceleration counter gn is formed in the volatile area of the main memory 52 . In Act 72, the processor 51 samples the acceleration data of the sensor data at predetermined intervals, for example, every 5 seconds. Then, in Act 73, the processor 51 determines whether or not the sampling data g of the acceleration data is within the allowable range from the allowable lower limit value g1 to the allowable upper limit value g2 corresponding to the sensor type "acceleration" of the first process data TA1. If the sampling data g of the acceleration data is within the allowable range, the processor 51 determines YES in Act73 and proceeds to Act75. On the other hand, if the sampling data g of the acceleration data is outside the allowable range, the processor 51 determines NO in Act73 and proceeds to Act74. The processor 51 counts up the acceleration counter gn by "1" in Act74. The processor 51 then proceeds to Act75.

The processor 51 determines in Act 75 whether or not sampling of the acceleration data has ended. If acceleration data sampling has not ended, the processor 51 determines NO in Act 75 and returns to Act 72 . That is, processor 51 continues sampling acceleration data. The processor 51 counts up the acceleration counter gn by "1" every time it is confirmed that the sampling data g of the acceleration data is out of the allowable range.

After finishing sampling the acceleration data, the processor 51 determines YES in Act75, and proceeds to Act76. The processor 51 acquires weighting factors w1, w2, and w3 from the first process data TA1 as Act76. Then, in Act 77, the processor 51 calculates the evaluation point P by the following arithmetic expression (1).

P=w1*dn+w2*hn+w3*gn (1)
That is, the processor 51 multiplies the count value of the temperature counter dn, that is, the number of times the sampling data d of the temperature data included in the sensor data Sa deviates from the allowable range by the temperature weighting coefficient w1 in the first process data TA1. Calculate the value p1. In addition, the processor 51 multiplies the count value of the humidity counter hn, that is, the number of times the sampling data h of the humidity data included in the sensor data Sa deviates from the allowable range, by the humidity weighting coefficient w2 in the first process data TA1. Calculate the value p2. Further, the processor 51 multiplies the count value of the acceleration counter gn, that is, the number of times the sampling data g of the acceleration data included in the sensor data Sa deviates from the allowable range by the acceleration weighting coefficient w3 in the first process data TA1. Calculate the value p3. Then, the processor 51 calculates the evaluation point P by adding the value p1, the value p2, and the value p3.

After calculating the evaluation point P, the processor 51 ends the evaluation point calculation process of Act16. After completing the evaluation point calculation process, the processor 51 proceeds to Act 17 in FIG. In Act17, the processor 51 sets the evaluation point P as the first evaluation point Va of the evaluation record 72R.

In Act18, the processor 51 calculates a total evaluation point V by summing the first evaluation point Va, the second evaluation point Vb, and the third evaluation point V3 of the evaluation record 72R. However, at this time, the second evaluation point Vb and the third evaluation point V3 have not been calculated, so the total evaluation point V is equal to the first evaluation point Va.

In Act19, the processor 51 confirms whether or not the total evaluation point V exceeds the evaluation point threshold value N of the evaluation record 72R. Here, when the total evaluation point V exceeds the evaluation point threshold value N, the processor 51 determines YES in Act19, and proceeds to Act20. The processor 51 sets the evaluation flag F of the evaluation record 72R to "1" as Act20. Further, the processor 51 performs defective product warning processing as Act21. That is, the processor 51 outputs a defective product warning signal to the reading terminal 4B, which is the source of the read record. The defective product warning signal is transmitted via the communication network 6 to the reading terminal 4B. The output device 48 is activated in the reading terminal 4A that has received the defective product warning signal. For example, a message warning that the product is defective is output. Alternatively, a voice warning that the product is defective is output. Therefore, the operator of the reading terminal 4B, i.e., the person in charge of receiving goods at the distribution center B, has the possibility that the perishable goods packed in the package 1 are defective due to the influence of the temperature, humidity, or acceleration in the first transportation process. You can recognize that you are highly sensitive.

After completing the defective product warning process, the processor 51 proceeds to Act22. On the other hand, if the total evaluation point V does not exceed the evaluation point threshold value N, the processor 51 determines NO in Act19, skips the processing of Act20 and Act21, and proceeds to Act22.

In Act22, the processor 51 rewrites the process code of the evaluation record 72R to "002". The processor 51 also rewrites the update date and time of the evaluation record 72R to the date and time kept by the clock 54 in Act23. With this, the processor 51 ends the data processing when receiving the reading terminal data from the reading terminal 4B. After finishing the data processing, the processor 51 returns to the idle state.

The package 1 transported to the distribution center B is stored in a warehouse for a predetermined period. During this period, the sensor terminal 3 attached to the package 1 periodically detects temperature, humidity, and acceleration, and stores the temperature data, humidity data, and acceleration data in the memory 32 as time-series sensor data. .

Now, when it comes time to ship the package 1 stored in the warehouse to the store C, the person in charge of shipping at the distribution center B opens the reading window of the code reader 47 provided in the reading terminal 4B to the package 1. The data of the code symbol 2 is read by holding the code symbol 2 pasted on the . Also, the person in charge of shipping brings the reading terminal 4B closer to the sensor terminal 3 . Then, short-range wireless communication is performed between the reading terminal 4B and the sensor terminal 3 . Through this short-range wireless communication, time-series sensor data stored in the memory 32 of the sensor terminal 3 is transmitted to the reading terminal 4B. Then, the transmitted sensor data is cleared, and then new sensor data is stored in the memory 32 together with the detection time.

The person in charge of shipping presses the send button of the operation device 45 . Then, the controller 41 of the reading terminal 4B controls the communication unit 46 so as to transmit the data of the code symbol 2 and the sensor data to the evaluation server 5. FIG. By this control, read terminal data is transmitted to the evaluation server 5 via the communication network 6 . The reading terminal data includes the ID "RT2" of the reading terminal 4B in addition to the code symbol 2 data and sensor data.

Processor 51 in the idle state waits to receive read terminal data as Act 1 as described above. When detecting that the reading terminal data is received via the communication interface 55, the processor 51 detects the reading terminal ID from the reading terminal data as Act2. In this case, the reading terminal ID is not the ID of reading terminal 4A. Therefore, the processor 51 determines NO in Act3, and proceeds to Act10. In Act 10, the processor 51 confirms whether or not the reading terminal ID is the ID of the reading terminal 4B, that is, "RT2". In this case, since the reading terminal ID is "RT2", the processor 51 determines YES in Act10 and proceeds to Act11 in FIG.

The processor 51 searches the evaluation database 72 with the sensor terminal ID of the data of the code symbol 2 included in the read terminal data as Act11. The processor 51 then reads from the evaluation database 72 the evaluation record 72R in which the same sensor terminal ID is set. Also in this case, if there are a plurality of evaluation records 72R with the same sensor terminal ID set in the evaluation database 72, the processor 51 reads the evaluation record 72R with the latest update date.

After reading the evaluation record 72R, the processor 51 checks the evaluation flag F of the evaluation record 72R in Act12. Here, when the evaluation flag F is set to "1", the perishable product accommodated in the package 1 managed by the evaluation record 72R is evaluated as defective in the first transportation process. Therefore, the processor 51 ends the data processing when receiving the reading terminal data from the reading terminal 4B.

On the other hand, if the evaluation flag F has been reset to "0", the processor 51 determines NO in Act12, and proceeds to Act13. In Act13, the processor 51 confirms whether or not the process code included in the evaluation record 72R is "001". In this case, the process code is not "001", so the processor 51 determines NO in Act13 and proceeds to Act24. In Act24, the processor 51 confirms whether or not the process code included in the evaluation record 72R is "002". In this case, the process code is "002", so the processor 51 determines YES in Act24 and proceeds to Act25. If the process code is other than "003" in Act 24, the evaluation record read out from the evaluation database 72 is abnormal, so NO is determined and the data processing is regarded as an error.

As Act25, the processor 51 searches the threshold database 71 with the product code and the process code "002" included in the evaluation record 72R. Then, the second process data TA2 including the process code "002" is acquired from the threshold record 71R in which the same product code is set. In Act 26, the processor 51 acquires the sensor data Sb from the read terminal data. The sensor data Sb are obtained by the temperature sensor 35, humidity sensor 36, and acceleration sensor 37 of the sensor terminal 3 attached to the package 1 while the package 1 is stored in the warehouse of the distribution center B. temperature data, humidity data, and acceleration data detected in .

In this way, the processor 51 that has acquired the second process data TA2 and the sensor data Sb executes evaluation point calculation processing as Act27. This evaluation point calculation process is also the same as the above-described process described using FIGS. 11 and 12 . That is, the processor 51 multiplies the count value of the temperature counter dn, that is, the number of times the sampling data d of the temperature data included in the sensor data Sb deviates from the allowable range by the temperature weighting coefficient w1 in the second process data TA2. Calculate the value p1. Further, the processor 51 multiplies the count value of the humidity counter hn, that is, the number of times the sampling data h of the humidity data included in the sensor data Sb deviates from the allowable range by the humidity weighting coefficient w2 in the second process data TA2. Calculate the value p2. Further, the processor 51 multiplies the count value of the acceleration counter gn, that is, the number of times the sampling data g of the acceleration data included in the sensor data Sb deviates from the allowable range by the acceleration weighting coefficient w3 in the second process data TA2. Calculate the value p3. Then, the processor 51 calculates the evaluation point P by adding the value p1, the value p2, and the value p3.

After calculating the evaluation point P, the processor 51 proceeds to Act28. The processor 51 sets the evaluation point P as the second evaluation point Vb of the evaluation record 72R in Act28.

In Act 29, the processor 51 calculates a total evaluation point V by summing the first evaluation point Va, the second evaluation point Vb, and the third evaluation point V3 of the evaluation record 72R. However, at this time, the third evaluation point V3 has not been calculated, so the total evaluation point V is the sum of the first evaluation point Va and the second evaluation point Vb.

In Act30, the processor 51 confirms whether or not the total evaluation point V exceeds the evaluation point threshold value N of the evaluation record 72R. Here, when the total evaluation point V exceeds the evaluation point threshold value N, the processor 51 determines YES in Act30, and proceeds to Act31. The processor 51 sets the evaluation flag F of the evaluation record 72R to "1" as Act31. The processor 51 also performs defective product warning processing as Act 32 . That is, the processor 51 outputs a defective product warning signal to the reading terminal 4B, which is the source of the read record. The defective product warning signal is transmitted via the communication network 6 to the reading terminal 4B. The output device 48 is activated in the reading terminal 4B that has received the defective product warning signal. For example, a message warning that the product is defective is output. Alternatively, a voice warning that the product is defective is output. Therefore, the operator of the reading terminal 4B, that is, the person in charge of shipping at the distribution center B, determines that the perishable products packed in the package 1 are defective due to the effects of temperature, humidity, or acceleration in the first transportation process and storage process. It can be recognized that there is a high possibility that

After completing the defective product warning process, the processor 51 proceeds to Act33. On the other hand, when the total evaluation point V does not exceed the evaluation point threshold value N, the processor 51 determines NO in Act30, skips the processing of Act31 and Act32, and proceeds to Act33.

The processor 51 rewrites the process code of the evaluation record 72R to "003" in Act33. The processor 51 also rewrites the update date and time of the evaluation record 72R to the date and time kept by the clock 54 in Act34. With this, the processor 51 ends the data processing when receiving the reading terminal data from the reading terminal 4B. After finishing the data processing, the processor 51 returns to the idle state.

The package 1 that has completed the shipping operation at the distribution center B is placed on the transfer body T2 and conveyed to the store C. During this period, the sensor terminal 3 attached to the package 1 periodically detects temperature, humidity, and acceleration, and stores the temperature data, humidity data, and acceleration data in the memory 32 as time-series sensor data.

Now, when the package 1 arrives, the person in charge of inspection at the store C holds the reading window of the code reader 47 provided in the reading terminal 4C over the code symbol 2 attached to the package 1, and reads the code symbol. 2 data is read. Also, the person in charge of inspection brings the reading terminal 4</b>C closer to the sensor terminal 3 . Then, short-range wireless communication is performed between the reading terminal 4</b>C and the sensor terminal 3 . Through this short-range wireless communication, time-series sensor data stored in the memory 32 of the sensor terminal 3 is transmitted to the reading terminal 4C. The person in charge of inspection removes the sensor terminal 3 from the package 1 that has finished the inspection work.

The person in charge of inspection presses the send button of the operation device 45 . Then, controller 41 of reading terminal 4</b>C controls communication unit 46 so as to transmit the data of code symbol 2 and the sensor data to evaluation server 5 . By this control, read terminal data is transmitted to the evaluation server 5 via the communication network 6 . The reading terminal data includes the ID "RT3" of the reading terminal 4C in addition to the code symbol 2 data and sensor data.

Processor 51 in the idle state waits to receive read terminal data as Act 1 as described above. When detecting that the reading terminal data is received via the communication interface 55, the processor 51 detects the reading terminal ID from the reading terminal data as Act2. In this case, the reading terminal ID is not the ID of reading terminal 4A. Therefore, the processor 51 determines NO in Act3, and proceeds to Act10. In Act 10, the processor 51 confirms whether or not the reading terminal ID is the ID of the reading terminal 4B, that is, "RT2". In this case, the reading terminal ID is not "RT2" either. Therefore, the processor 51 determines NO in Act10, and proceeds to Act41 in FIG.

The processor 51 searches the evaluation database 72 with the sensor terminal ID of the data of the code symbol 2 included in the read terminal data as Act 41 . The processor 51 then reads from the evaluation database 72 the evaluation record 72R in which the same sensor terminal ID is set. Also in this case, if there are a plurality of evaluation records 72R with the same sensor terminal ID set in the evaluation database 72, the processor 51 reads the evaluation record 72R with the latest update date.

The processor 51 that read the evaluation record 72R checks the evaluation flag F of the evaluation record 72R in Act42. Here, if the evaluation flag F is set to "1", the perishable product accommodated in the package 1 managed by the evaluation record 72R is evaluated as defective in the storage process. 51 terminates data processing when reading terminal data is received from reading terminal 4C.

On the other hand, if the evaluation flag F has been reset to "0", the processor 51 determines NO in Act42 and proceeds to Act43. In Act 43, the processor 51 confirms whether or not the process code included in the evaluation record 72R is "003". In this case, the process code is "003", so the processor 51 determines YES in Act43 and proceeds to Act44. If the process code is other than "003" in Act 43, the evaluation record read out from the evaluation database 72 is abnormal, so NO is determined and the data processing is regarded as an error.

The processor 51 searches the threshold database 71 with the product code and the process code "003" included in the evaluation record 72R as Act44. Then, the third process data TA3 including the process code "003" is acquired from the threshold record 71R in which the same product code is set. In Act 45, the processor 51 acquires the sensor data Sc from the read terminal data. The sensor data Sc are obtained from the temperature sensor 35 and humidity sensor 36 of the sensor terminal 3 attached to the package 1 while the package 1 is placed on the transfer body TA2 and transported from the distribution center B to the store C. , and temperature data, humidity data, and acceleration data detected in chronological order by the acceleration sensor 37, respectively.

In this way, the processor 51 that has acquired the third process data TA3 and the sensor data Sc executes evaluation point calculation processing as Act46. This evaluation point calculation process is also the same as the above-described process described using FIGS. 11 and 12 . That is, the processor 51 multiplies the count value of the temperature counter dn, that is, the number of times the sampling data d of the temperature data included in the sensor data Sc deviates from the allowable range by the temperature weighting coefficient w1 in the third process data TA3. Calculate the value p1. The processor 51 also multiplies the count value of the humidity counter hn, that is, the number of times the sampling data h of the humidity data included in the sensor data Sc deviates from the allowable range, by the humidity weighting coefficient w2 in the third process data TA3. Calculate the value p2. Further, the processor 51 multiplies the count value of the acceleration counter gn, that is, the number of times the sampling data g of the acceleration data included in the sensor data Sb deviates from the allowable range by the acceleration weighting coefficient w3 in the third process data TA3. Calculate the value p3. Then, the processor 51 calculates the evaluation point P by adding the value p1, the value p2, and the value p3.

After calculating the evaluation point P, the processor 51 proceeds to Act47. In Act 47, the processor 51 sets the evaluation point P as the third evaluation point Vc of the evaluation record 72R.

In Act48, the processor 51 calculates a total evaluation point V by summing the first evaluation point Va, the second evaluation point Vb, and the third evaluation point V3 of the evaluation record 72R. In Act 49, the processor 51 confirms whether or not the total evaluation point V exceeds the evaluation point threshold value N of the evaluation record 72R. Here, when the total evaluation point V exceeds the evaluation point threshold value N, the processor 51 determines YES in Act49, and proceeds to Act50. The processor 51 sets the evaluation flag F of the evaluation record 72R to "1" as Act50. The processor 51 also performs defective product warning processing as Act 51 . That is, the processor 51 outputs a defective product warning signal to the reading terminal 4C, which is the source of the read record. The defective product warning signal is transmitted to the reading terminal 4C via the communication network 6. FIG. The output device 48 is activated in the reading terminal 4C that has received the defective product warning signal. For example, a message warning that the product is defective is output. Alternatively, a voice warning that the product is defective is output. Therefore, the operator of the reading terminal 4C, that is, the person in charge of inspection at the store C, is aware that the perishable products packed in the package 1 are affected by the temperature, humidity, or acceleration in the first transportation process, the storage process, and the second transportation process. Therefore, it is possible to recognize that there is a high possibility that the product is defective.

After completing the defective product warning process, the processor 51 proceeds to Act52. On the other hand, if the total evaluation score V does not exceed the evaluation score threshold value N, the processor 51 determines NO in Act49, skips the processing of Act50 and Act51, and proceeds to Act52.

The processor 51 rewrites the update date and time of the evaluation record 72R to the date and time kept by the clock 54 in Act 52 . With this, the processor 51 ends the data processing when receiving the reading terminal data from the reading terminal 4C. After finishing the data processing, the processor 51 returns to the idle state.

Here, in the evaluation server 5, the computer mainly composed of the processor 51 performs the processes of Act 15 and Act 26 in FIG. 9 and Act 45 in FIG. It functions as detection value acquisition means for detecting the detection value of humidity or acceleration. In this case, if temperature is the first load, humidity or acceleration can be the second load. If humidity is the first load, temperature or acceleration can be the second load. If acceleration is the first load, temperature or humidity can be the second load. That is, the computer mainly including the processor 51 functions as the first detection value acquisition means or the second detection value acquisition means by performing the processes of Act15 and Act26 in FIG. 9 and Act45 in FIG.

Also, in the evaluation server 5, the computer mainly composed of the processor 51 functions as an allowable range acquisition means by performing the processes of Act14 and Act25 in FIG. 9 and Act44 in FIG.

In the evaluation server 5, the computer mainly composed of the processor 51 performs the processing of Act 16 and Act 27 in FIG. 9 and Act 46 in FIG. By performing the processing from Act75, it functions as an integrating means. In this case, if temperature is the first load, humidity or acceleration can be the second load. If humidity is the first load, temperature or acceleration can be the second load. If acceleration is the first load, temperature or humidity can be the second load. That is, the computer mainly including the processor 51 functions as the first integrating means or the second integrating means by performing the processes of Act16 and Act27 in FIG. 9 and Act46 in FIG.

Also, in the evaluation server 5, the computer mainly composed of the processor 51 functions as a weighting factor acquisition means by executing the process of Act 76 in the evaluation point calculation process.

Also, in the evaluation server 5, the computer mainly composed of the processor 51 functions as a summation means by executing the processing of Act 77 in the evaluation point calculation processing.

In the evaluation server 5, the computer mainly including the processor 51 functions as evaluation means by performing the processes Act17 to Act21, Act28 to Act32 in FIG. 9 and Act47 to Act51 in FIG.

As described above, in the evaluation server 5 of the present embodiment, when it is determined in Act 19 that the total evaluation point V exceeds the evaluation point threshold value N, the evaluation flag F of the evaluation record 72R is set to "1". .

In Act19, the total evaluation point V becomes the first evaluation point Va for the first transport process. The first evaluation point Va is a value w1*dn obtained by multiplying the number of times dn by a weighting factor w1, a value w2*hn obtained by multiplying the number of times hn by a weighting factor w2, and a value w3*gn obtained by multiplying the number of times gn by a weighting factor w3. is the sum of

The number of times dn is the number of times that the sampling data d of the temperature data deviates from the allowable temperature range (d1≤d≤d2) in the first process data TA1 in the first transport process. A weighting factor w1 is a weighting factor of temperature in the first process data TA1. The number of times hn is the number of times the sampling data h of the humidity data deviates from the allowable humidity range (h1≤h≤h2) in the first process data TA1 in the first transport process. The weighting factor w2 is the weighting factor of humidity in the first process data TA1. The number of times gn is the number of times the sampling data g of the acceleration data deviates from the allowable acceleration range (g1≤g≤g2) in the first process data TA1 in the first transport process. The weighting factor w3 is the acceleration weighting factor in the first process data TA1.

Therefore, the greater the number of times the temperature, humidity, or acceleration deviates from the respective allowable ranges in the first transport process, the greater the value of the first evaluation point Va. If the first evaluation point Va exceeds the evaluation point threshold value N, the evaluation flag F of the evaluation record 72R is set to "1" at that time, and a defective product warning is issued. Therefore, at the stage where the first transportation process is completed, if there is a risk that the condition of the perishable products has deteriorated due to the accumulation of events in which the temperature, humidity, or acceleration deviates from the allowable range, the person in charge of receiving goods at distribution center B can accurately ascertain its status by means of defective product warnings.

Further, in the evaluation server 5 of the present embodiment, even if it is determined in Act 19 that the total evaluation point V does not exceed the evaluation point threshold N, it is determined that the total evaluation point V exceeds the evaluation point threshold N in Act 30. If so, the evaluation flag F of the evaluation record 72R is set to "1". In Act30, the total evaluation point V is the sum of the first evaluation point Va for the first transport process and the second evaluation point Vb for the storage process. The second evaluation point Vb is a value w1*dn obtained by multiplying the number of times dn by a weighting factor w1, a value w2*hn obtained by multiplying the number of times hn by a weighting factor w2, and a value w3*gn obtained by multiplying the number of times gn by a weighting factor w3. is the sum of

The number of times dn is the number of times that the sampling data d of the temperature data deviates from the allowable temperature range (d1≦d≦d2) in the second process data TA2 in the storage process. The weighting factor w1 is the weighting factor of the temperature in the second process data TA2. The number of times hn is the number of times the sampling data h of the humidity data deviates from the allowable humidity range (h1≤h≤h2) in the second process data TA2 in the storage process. The weighting factor w2 is the weighting factor of humidity in the second process data TA2. The number of times gn is the number of times the sampling data g of the acceleration data deviates from the allowable acceleration range (g1≦g≦g2) in the second process data TA2 in the storage process. The weighting factor w3 is the acceleration weighting factor in the second process data TA2.

Therefore, the larger the number of times the temperature, humidity, or acceleration deviates from the allowable range in the storage process, the larger the value of the second evaluation point Vb. If the total value of the first evaluation point Va and the second evaluation point Vb exceeds the evaluation point threshold value N, the evaluation flag F of the evaluation record 72R is set to "1" at that time, A defective product warning is issued. Therefore, at the stage where the storage process has been completed through the first transportation process, if there is a risk that the condition of perishable goods has deteriorated due to the accumulation of events in which the temperature, humidity, or acceleration has deviated from the allowable range, distribution center B The person in charge of shipping can accurately grasp the phenomenon by the defective product warning.

Further, in the evaluation server 5 of the present embodiment, even if it is determined in Act 30 that the total evaluation point V does not exceed the evaluation point threshold N, in Act 49 it is determined that the total evaluation point V exceeds the evaluation point threshold N. If so, the evaluation flag F of the evaluation record 72R is set to "1". In Act 49, the total evaluation point V is the sum of the first evaluation point Va for the first transport process, the second evaluation point Vb for the storage process, and the third evaluation point Vc for the second transport process. becomes. The third evaluation point Vb is a value w1*dn obtained by multiplying the number of times dn by a weighting factor w1, a value w2*hn obtained by multiplying the number of times hn by a weighting factor w2, and a value w3*gn obtained by multiplying the number of times gn by a weighting factor w3. is the sum of

The number of times dn is the number of times that the sampling data d of the temperature data deviates from the allowable temperature range (d1≦d≦d2) in the third process data TA3 in the second transport process. A weighting factor w1 is a weighting factor of temperature in the third process data TA3. The number of times hn is the number of times the sampling data h of the humidity data deviates from the allowable humidity range (h1≤h≤h2) in the third process data TA3 in the second transport process. The weighting factor w2 is the weighting factor of humidity in the third process data TA3. The number of times gn is the number of times the sampling data g of the acceleration data deviates from the allowable acceleration range (g1≤g≤g2) in the third process data TA3 in the second transport process. The weighting factor w3 is the acceleration weighting factor in the third process data TA3.

Therefore, in the second transport process, the greater the number of times the temperature, humidity, or acceleration deviates from the allowable range, the greater the value of the third evaluation point Vc. If the total value of the first evaluation point Va, the second evaluation point Vb, and the third evaluation point Vc exceeds the evaluation point threshold value N, the evaluation flag F of the evaluation record 72R is set to "1" at that time. ” to issue a defective product warning. Therefore, when the condition of perishable products may deteriorate due to the accumulation of events in which the temperature, humidity, or acceleration deviates from the allowable range at the stage where the first transportation process, the storage process, and the second transportation process are completed. In addition, the person in charge of inspection at store C can accurately grasp the phenomenon from the defective product warning.

As described above, according to the present embodiment, the load that affects the freshness of perishable products in the distribution process continues for a long time or occurs multiple times in a situation where the load slightly exceeds the allowable range. It is possible to provide an evaluation server 5 that can evaluate the state of perishables with high reliability when there is a possibility that the fresh product has deteriorated.

Moreover, in this embodiment, three types of loads, ie, temperature, humidity, and acceleration, are used as loads that affect the freshness of perishable products. The evaluation server 5, for example, generates a defective product warning by comprehensively considering the effects of temperature, humidity, or acceleration, even if the temperature alone does not generate a defective product warning. Therefore, it is possible to provide the evaluation server 5 that can evaluate the state of perishables with higher reliability.

Moreover, when considering the effects of temperature, humidity, or acceleration comprehensively, weighting factors are set for temperature, humidity, and acceleration. Therefore, for example, in the first transporting process or the second transporting process in which the influence of acceleration is large, the weighting factor for the acceleration is made larger than in the storage process in which the influence of acceleration is small, so that the state of perishable products can be determined with higher reliability. be able to evaluate.

Furthermore, according to the present embodiment, it is possible to set an allowable range for the load that affects the freshness of perishable products for each process in the physical distribution process. Therefore, for example, in the first conveying process or the second conveying process, which are greatly affected by temperature, the condition of perishable products can be evaluated with higher reliability by narrowing the allowable range for temperature than in the storage process, which is less affected by temperature. be able to evaluate.

By the way, if the sensor terminal 3 attached to the package 1 containing perishables that has been inspected at the store C is reused, the evaluation database 72 will have a plurality of evaluation records 72R in which the same sensor terminal ID is set. It may exist. Regarding this point, in the above embodiment, when reading the evaluation record 72R from the evaluation database 72 in Act 11 or Act 41, if there are a plurality of evaluation records 72R in which the same sensor terminal ID is set, the update date is the latest. The evaluation record 72R is read. Therefore, even if the sensor terminal 3 is reused, the evaluation system is not hindered, and the cost of the sensor terminal 3 can be reduced.
Although the embodiment of the evaluation device capable of evaluating the state of the evaluation object in the distribution process with high reliability has been described above, the embodiment is not limited to this.

For example, in the above embodiment, the temperature sensor 35 is the first sensor, the humidity sensor 36 is the second sensor, and the acceleration sensor 37 is the third sensor. Which of the temperature sensor 35, the humidity sensor 36, and the acceleration sensor 37 is the first sensor, and which sensor is the second or third sensor is not particularly limited.

In the above embodiment, if the total evaluation point V exceeds the evaluation point threshold value N in Act19, Act30 of FIG. 9 or Act49 of FIG. Non-defective product warning processing was performed. In this regard, in Act 19, Act 30 of FIG. 9 or Act 49 of FIG. A process for notifying that the product is non-defective may be performed.

In the above-described embodiment, the temperature data sampling interval in Act 62 of FIG. 11 is set to 10 seconds, the humidity data sampling interval is set to 15 seconds in Act 67, and the acceleration data sampling interval is set to 5 seconds in Act 72 of FIG. . These intervals are not particularly limited. For example, the interval for sampling temperature data, the interval for sampling humidity data, and the interval for sampling acceleration data may be the same.

The evaluation system is not limited to those of the above embodiments. For example, the sensor terminal 3 stores the product code of the fresh product contained in the package 1 to which the sensor terminal 3 is attached, and exchanges the product code with the sensor terminal ID with the reading terminals 4A, 4B, and 4C. Configure to send. By doing this, code symbol 2 can be dispensed with from the rating system. Further, the sensor terminal 3 has a GPS sensor and a wireless communication unit. Then, the controller 31 of the sensor terminal 3 periodically transmits to the evaluation server 5 the detected values of temperature, humidity, and acceleration, as well as positional information obtained by the GPS sensor. By doing so, it is possible to eliminate the need for the reading terminals 4A, 4B, and 4C.

Evaluation objects are not limited to perishables. An article having a load that exerts an influence in the physical distribution process can be used as an evaluation object of this evaluation apparatus.

The physical distribution process is not limited to include the first transportation process, the storage process, and the second transportation process. For example, only the transport step of transporting directly from the sender A to the store C may be performed.

Note that the transfer of the evaluation server 5 is generally performed in a state in which a program such as an evaluation program is stored in the main memory 52 or the auxiliary storage device 53 . However, the present invention is not limited to this, and the evaluation server 5 may be transferred without the evaluation program being stored in the main memory 52 or the auxiliary storage device 53 . In this case, the evaluation program transferred separately from the evaluation server 5 is written in the writable storage device of the evaluation server 5 according to the user's operation. The evaluation program can be transferred by recording it on a removable recording medium or by communication via a network. The recording medium may be of any form, such as CD-ROM, memory card, etc., as long as it can store the program and can be read by the device.

Additionally, while several embodiments of the invention have been described, these embodiments have been presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope of the invention, and are included in the scope of the invention described in the claims and equivalents thereof.
The invention described in the original claims of the present application is appended below.
[1] Detected value obtaining means for obtaining a detected value of the load detected by a sensor that periodically detects the load affecting the state of the evaluated object in the distribution process of the evaluated object; and the detected value obtaining means. accumulating means for accumulating the number of times the load detection value acquired by the means deviates from the allowable range for the load; and evaluation means for evaluating the state of the evaluation object based on the integrated value obtained by the accumulating means. evaluation equipment.
[2] Acquiring a detection value of the first load detected by a first sensor that periodically detects the first load affecting the state of the evaluation object in the distribution process of the evaluation object 1 detection value acquiring means; a second detection value acquisition means for acquiring a detection value; a second integrating means for integrating the number of times the detected value of the second load obtained by the second detected value obtaining means deviates from the allowable range for the second load; summing means for summing a first integrated value obtained by one integrating means and a second integrated value obtained by said second integrating means; and an evaluation device comprising:
[3] Weighting factor obtaining means for obtaining weighting factors respectively set for the first load and the second load; multiplied by the weighting factor set for the first load, and the second integrated value obtained by the second integrating means set for the second load The evaluation device according to appendix [2], which sums the value multiplied by the weighting factor.
[4] Further comprising: allowable range acquiring means for acquiring data relating to the allowable range set for each process of the physical distribution process, the accumulating means for each process of the physical distribution process, The evaluation device according to appendix [1], wherein the number of times the detected value of the load is out of the allowable range for the load is integrated based on data related to the set allowable range.
[5] further comprising: an allowable range acquiring means for acquiring data relating to the allowable range for the first load and data relating to the allowable range for the second load set for each process of the physical distribution process; The first accumulating means acquires by the first detected value acquiring means based on data related to the allowable range for the first load set for each process of the physical distribution process The second accumulating means accumulates the number of times the detected value of the first load is out of the allowable range for the first load, and the second accumulating means is configured for each process of the physical distribution process. accumulating the number of times the detected value of the second load obtained by the second detected value obtaining means deviates from the allowable range for the second load, based on data related to the allowable range for the second load; The evaluation device according to appendix [2].
[6] A computer of an evaluation device that evaluates the state of an object to be evaluated is used to measure the load detected by a sensor that periodically detects the load that affects the state of the object to be evaluated during the distribution process of the object to be evaluated. Detected value acquiring means for acquiring a detected value, accumulating means for accumulating the number of times the detected value of the load acquired by the detected value acquiring means is out of the allowable range for the load, and based on the integrated value by the accumulating means An evaluation program for functioning as evaluation means for evaluating the state of the evaluation object.

1 -- package, 2 -- code symbol, 3 -- sensor terminal, 4A. 4B. 4C... reading terminal, 5... evaluation server, 6... communication network, 51... processor, 52... main memory, 53... auxiliary storage device, 54... clock, 55... communication interface, 71... threshold database, 72... evaluation database.

Claims (6)

Detection for obtaining a detection value of the load attached to the evaluation object and detected by a sensor that periodically detects the load affecting the state of the evaluation object for each process in the distribution process of the evaluation object a value acquisition means;
Integrating means for accumulating the number of times the load detection value obtained by the detection value obtaining means deviates from the allowable range for the load, for each step of the physical distribution process ;
an evaluation point calculation means for calculating an evaluation point for evaluating the state of the evaluation object based on the integrated value obtained by the integration means for each process of the physical distribution process ;
For each process of the physical distribution process, the evaluation points calculated in each process up to the process are totaled, and the state of the evaluation object up to the process is evaluated based on the total evaluation points . a means of evaluation;
An evaluation device comprising: The first load applied to the evaluation object and detected by a first sensor that periodically detects a first load that affects the state of the evaluation object for each process in the distribution process of the evaluation object a first detected value acquisition means for acquiring a detected value of the load of
For each step of the physical distribution process, the second load is applied to the evaluation object and is detected by a second sensor that periodically detects the second load that affects the state of the evaluation object. a second detection value obtaining means for obtaining a detection value;
a first accumulating means for accumulating the number of times the detected value of the first load obtained by the first detected value obtaining means deviates from the allowable range for the first load, for each step of the physical distribution process ;
a second accumulating means for accumulating the number of times the detected value of the second load obtained by the second detected value obtaining means deviates from the allowable range for the second load for each step of the physical distribution process ;
summing means for summing the first integrated value obtained by the first integrating means and the second integrated value obtained by the second integrating means for each step of the physical distribution process ;
an evaluation point calculation means for calculating an evaluation point for evaluating the state of the evaluation object based on the total value obtained by the totalization means for each step of the physical distribution process ;
For each process of the physical distribution process, the evaluation points calculated in each process up to the process are totaled, and the state of the evaluation object up to the process is evaluated based on the total evaluation points . a means of evaluation;
An evaluation device comprising: weighting factor acquiring means for acquiring weighting factors respectively set for the first load and the second load for each process of the physical distribution process ;
further comprising
The summation means multiplies the first integrated value obtained by the first integration means by the weighting factor set for the first load, and the second 3. The evaluation apparatus according to claim 2, wherein said second integrated value obtained by said integrating means is multiplied by said weighting factor set for said second load. allowable range acquisition means for acquiring data related to the allowable range set for each process of the physical distribution process;
further comprising
The accumulating means integrates the number of times the load detection value deviates from the allowable range for the load based on the data relating to the allowable range set for each process of the physical distribution process. Item 1. The evaluation device according to item 1. Allowable range acquisition means for acquiring data relating to the allowable range for the first load and data relating to the allowable range for the second load set for each process of the physical distribution process;
further comprising
The first accumulating means acquires by the first detected value acquiring means based on data related to the allowable range for the first load set for each process of the physical distribution process accumulating the number of times the detected value of the first load is out of the allowable range for the first load;
The second accumulating means acquires by the second detection value acquiring means based on data related to the allowable range for the second load set for each process of the physical distribution process 3. The evaluation device according to claim 2, wherein the number of times the detected value of said second load is out of the allowable range for said second load is integrated. The computer of the evaluation device that evaluates the state of the evaluation object,
A detection value of the load, which is applied to the evaluation object and is detected by a sensor that periodically detects the load affecting the state of the evaluation object , is obtained for each process in the distribution process of the evaluation object. detection value acquisition means;
Integrating means for accumulating the number of times the detected value of the load obtained by the detected value obtaining means deviates from the allowable range for the load for each process of the physical distribution process ;
an evaluation point calculation means for calculating an evaluation point for evaluating the state of the evaluation object based on the integrated value obtained by the integration means for each process of the physical distribution process ;
For each process of the physical distribution process, the evaluation points calculated in each process up to the process are totaled, and the state of the evaluation object up to the process is evaluated based on the total evaluation points . evaluation means,
Evaluation program for functioning as

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