Sewing machine management system and sewing machine management method

Abstract

A sewing machine management system and a sewing machine management method that replace a sewing machine at an appropriate timing. The sewing machine management system has a history data acquisition section that acquires history data that indicates a history of a sewing machine, and an output section that causes an output device to output recommendation data that recommends replacement of the sewing machine, based on the history data.

Description

Technical Field

[0001] The technology disclosed in this specification relates to sewing machine management systems and sewing machine management methods. Background Technology

[0002] In the technical field of sewing machine management systems, a sewing machine management system as disclosed in Patent Document 1 is known. In Patent Document 1, the sewing machine management system manages industrial sewing machines operating in a sewing factory.

[0003] Patent Document 1: Japanese Patent Application Publication No. 2024-122645

[0004] Replacing a sewing machine after it has reached the end of its service life creates a period where the machine is unusable, potentially reducing the productivity of the sewing factory. Therefore, in sewing factories, sewing machines are replaced before they reach their end of life. Previously, when replacing sewing machines in sewing factories, managers determined the replacement period based on the machine's manufacturing date. In this method, a machine might be deemed necessary to replace even if it still has plenty of time left before reaching its end of life, or it might be deemed unnecessary even if it doesn't. Summary of the Invention

[0005] The purpose of the technology disclosed in this manual is to enable the sewing machine to be replaced at appropriate intervals.

[0006] This specification discloses a sewing machine management system. The sewing machine management system includes: a history data acquisition unit that acquires history data representing the history of a sewing machine; and an output unit that, based on the history data, outputs recommendation data that recommends the replacement of the sewing machine.

[0007] The effects of the invention

[0008] The sewing machine should be replaced at appropriate intervals according to the technology disclosed in this manual. Attached Figure Description

[0009] Figure 1 This is a schematic diagram illustrating the sewing machine management system involved in the implementation method.

[0010] Figure 2 This is a block diagram illustrating the sewing machine and management device involved in the implementation method.

[0011] Figure 3 This is a diagram used to illustrate the tabular data involved in the implementation method.

[0012] Figure 4This is a diagram used to illustrate the relationship between the total value and the threshold involved in the implementation method.

[0013] Figure 5 This is a flowchart illustrating the sewing machine management method involved in the implementation method. Detailed Implementation

[0014] The embodiments of this technology will now be described with reference to the accompanying drawings, but this technology is not limited to these embodiments. The structural elements of the embodiments described below can be appropriately combined. In addition, some structural elements may not be used at times.

[0015] [Sewing Machine Management System]

[0016] Figure 1 This diagram schematically illustrates a sewing machine management system 1 according to an embodiment. The sewing machine management system 1 manages sewing machines 2 installed in a sewing factory. The sewing machines 2 operate within the sewing factory. The sewing machines 2 are industrial sewing machines. Sewn objects are sewn by the sewing machines 2, thereby producing sewn products.

[0017] The sewing machine management system 1 includes a management device 3 for managing the sewing machines 2. In one embodiment, the management device 3 is located in the sewing factory. Alternatively, the management device 3 may be located outside the sewing factory.

[0018] The management device 3 manages the production process of the sewn products. The production process includes a sewing process where a sewing machine 2 is used to sew the object being sewn. In the sewing process, the object is sewn using the sewing machine 2, thereby producing the sewn products. Fabric is shown as an example of the object being sewn. Garment is shown as an example of the sewn products.

[0019] In a sewing factory, multiple types of sewing machines 2 are provided, each corresponding to a specific purpose. In the sewing factory, the sewing machines 2 are arranged in multiple types, each corresponding to a different sewing process used to produce sewn products. Examples of types of sewing machines 2 include a flat sewing machine for sewing garment bodies, a button sewing machine for sewing buttons onto garment bodies, and a pocket sewing machine for sewing pockets onto garment bodies. A variety and a large number of sewing machines 2 are provided in a single sewing factory. Furthermore, for the sake of simplicity, in… Figure 1 Three sewing machines 2 are shown. Sewing machine 2A is used in the first stage of producing sewn products. Sewing machine 2B is used in the second stage of producing sewn products. Sewing machine 2C is used in the third stage of producing sewn products. Alternatively, multiple sewing machines 2 of one type can be installed in a sewing factory.

[0020] In a sewing factory, managers and operators work together. Managers oversee the operators and sewing machines 2. Operators use sewing machines 2 to sew objects during the sewing process. Both managers and operators can be considered users of sewing machines 2. There can be one or more managers. There can be one or more operators. For example, one operator can operate multiple sewing machines 2.

[0021] The management device 3 includes a display device 4 and an input device 5. The display device 4 displays display data. The display device 4 includes a flat panel display such as a liquid crystal display (LCD) or an organic EL display. The input device 5 is operated by the administrator, thereby generating input data. Alternatively, the input device 5 can also be operated by an operator. The input device 5 includes a touch panel (touch sensor) configured on the display screen of the display device 4. Furthermore, the input device 5 can also be a computer keyboard, a mouse, or a voice input device.

[0022] The sewing machine 2 has an operation panel 6 and a controller 7. The operation panel 6 is operated by the operator, thereby generating operation data. The operation panel 6 includes a touch panel (touch sensor) configured for display on the monitor.

[0023] The management device 3 is shared by multiple sewing machines 2 in the sewing factory. The number of management devices 3 is less than the number of sewing machines 2. The management device 3 can communicate with each of the sewing machines 2. The management device 3 communicates with the controller 7.

[0024] [Sewing machine and management device]

[0025] Figure 2 This is a block diagram illustrating the sewing machine 2 and management device 3 according to the embodiment. The management device 3 includes a computer. The management device 3 has: a processor 8 such as a CPU (Central Processing Unit); a main memory 9, which includes volatile memory such as RAM (Random Access Memory); a storage device 10, which includes non-volatile memory such as ROM (Read Only Memory); and an interface 11, which includes input / output circuitry. The functions of the processor 8 are stored as a computer program in the storage device 10. The processor 8 reads the computer program from the storage device 10 and expands it to the main memory 9, and executes the processing according to the computer program. In addition, the computer program can also be transmitted to the management device 3 via a network.

[0026] The sewing machine 2 has a controller 7, an operation panel 6, a sewing machine motor 12, an actuator 13, and a sensor 14. The controller 7 controls the sewing machine 2. The controller 7 includes a computer with a processor, main memory, storage, and an interface.

[0027] The management device 3 and the controller 7 communicate via network 15. Examples of network 15 include a local area network (LAN), a wide area network (WAN), an intranet, and the Internet. The management device 3 and the controller 7 can communicate wirelessly or via wired connection.

[0028] The sewing machine motor 12 is the main power source of the sewing machine 2. The sewing machine motor 12 drives the needle bar, take-up lever, and feeder of the sewing machine 2. The sewing machine needle, held by the needle bar, reciprocates in the vertical direction. The actuator 13 is a different power source from the sewing machine motor 12. Examples of actuators 13 include a lifting actuator that raises and lowers the presser foot of the sewing machine 2 to press the object being sewn, and a tangent actuator that actuates the thread-cutting mechanism of the sewing machine 2. The sensor 14 detects the operating conditions of the sewing machine 2.

[0029] The management device 3 has a history data acquisition unit 16, a calculation unit 17, and an output unit 18.

[0030] The history data acquisition unit 16 acquires history data representing the history of the sewing machine 2. The history data acquisition unit 16 acquires history data for each of the multiple sewing machines 2 (2A, 2B, 2C). The history data acquisition unit 16 acquires history data from one or both of the controller 7 and the input device 5. The controller 7 can send the history data of the sewing machine 2 to the history data acquisition unit 16 via the network 15. The input device 5 is operated by the administrator, thereby enabling the input of the history data of the sewing machine 2 to the history data acquisition unit 16.

[0031] The history of sewing machine 2 refers to all records from the time of its production to the present time. The history of sewing machine 2 includes at least one of the following: its operational history from the time of its production to the present time, its usage environment history from the time of its production to the present time, and its maintenance history from the time of its production to the present time. The history of sewing machine 2 consists of multiple items covered in the history.

[0032] The operating history of sewing machine 2 includes at least one of the following: operating time Td of sewing machine 2, energizing time Te of the electrical equipment of sewing machine 2, rotational speed Rs of sewing machine motor 12, and number of stitches Ns during sewing by sewing machine 2. Operating time Td refers to the cumulative value of the operating time of sewing machine 2. Electrical equipment refers to equipment that operates by being energized. Examples of electrical equipment for sewing machine 2 include controller 7, sewing machine motor 12, actuator 13, sensor 14, and cables (not shown). Energizing time Te refers to the cumulative value of the energizing time of the electrical equipment. Number of stitches Ns during sewing by sewing machine 2 refers to the cumulative value of the number of times the sewing machine needle, held by the needle bar and moving reciprocally in the up-down direction, penetrates the sewing object.

[0033] The controller 7 can send the operating time Td, energizing time Te, rotational speed Rs, and stitch count Ns to the management device 3. The sewing machine 2 has a sewing machine drive circuit that drives the sewing machine motor 12. The sewing machine drive circuit includes switching elements such as field-effect transistors (FETs). When driving the sewing machine motor 12, the controller 7 sends control commands for driving the sewing machine motor 12 to the sewing machine drive circuit. The operating time Td of the sewing machine 2 is the time from which the controller 7 sends the control commands to the sewing machine drive circuit. The controller 7 can measure the energizing time Te of the electrical equipment of the sewing machine 2. The rotational speed Rs of the sewing machine motor 12 is determined based on the control commands sent from the controller 7 to the sewing machine drive circuit.

[0034] The controller 7 can send the operation history of the sewing machine 2 to the management device 3 based on the detection data of the sensor 14. If the sensor 14 is a rotation speed sensor that detects the rotation speed Rs of the sewing machine motor 12, the controller 7 can send the rotation speed Rs of the sewing machine motor 12 detected by the rotation speed sensor as the operation history of the sewing machine 2 to the management device 3. If the sensor 14 is a needle count sensor that detects the number of needles Ns, the controller 7 can send the number of needles Ns detected by the needle count sensor as the operation history of the sewing machine 2 to the management device 3.

[0035] The usage environment history of sewing machine 2 includes at least one of the following: ambient temperature Tp, ambient humidity Hp, location Up, operating period (month and year) Da, owner Ch, number of relocations Nr, and relocation distance Dr. Ambient temperature Tp refers to the atmospheric temperature of the environment in which sewing machine 2 is used. Ambient humidity Hp refers to the atmospheric humidity of the environment in which sewing machine 2 is used. Location Up is the country or city where sewing machine 2 is used. Operating period Da is the period or season during which sewing machine 2 is operated. Owner Ch refers to the sewing factory where sewing machine 2 is located. Relocation of sewing machine 2 refers to transferring sewing machine 2 from sewing factory 1 to sewing factory 2. Number of relocations Nr refers to the number of times sewing machine 2 has been relocated. The relocation distance Dr of sewing machine 2 refers to the distance that sewing machine 2 is moved. When sewing machine 2 is moved from the first sewing factory to the second sewing factory, the relocation distance Dr is the distance from the first sewing factory to the second sewing factory. When sewing machine 2 is successively moved to multiple sewing factories, the relocation distance Dr of sewing machine 2 refers to the sum of the relocation distances of sewing machine 2 when it is successively moved to multiple sewing factories.

[0036] The controller 7 can send the ambient temperature Tp, ambient humidity Hp, location Up, and operating period Da of the sewing machine 2 to the management device 3. Based on the detection data from the sensor 14, the controller 7 can send the operating environment history of the sewing machine 2 to the management device 3. When the sensor 14 is a temperature sensor, the controller 7 can send the ambient temperature Tp detected by the temperature sensor as the operating environment history of the sewing machine 2 to the management device 3. When the sensor 14 is a humidity sensor, the controller 7 can send the ambient humidity Hp detected by the humidity sensor as the operating environment history of the sewing machine 2 to the management device 3. When the sensor 14 is a position sensor using a Global Navigation Satellite System (GNSS), the controller 7 can send the location Up detected by the position sensor as the operating environment history of the sewing machine 2 to the management device 3. The controller 7 has a clock function. The controller 7 can use the clock function to identify the operating period Da of the sewing machine 2.

[0037] The administrator operates the input device 5, thereby inputting the sewing machine 2's owner Ch, the number of times the sewing machine 2 has been moved Nr, and the moving distance of the sewing machine 2 as the sewing machine 2's usage environment history into the history data acquisition unit 16.

[0038] The maintenance history of sewing machine 2 includes at least one replacement of parts Ex and one repair of sewing machine 2 Rp. The replacement of parts Ex includes the types of parts replaced and the number of times they were replaced. The repair of sewing machine 2 includes the parts of sewing machine 2 that were repaired and the number of times they were repaired.

[0039] The administrator operates the input device 5, thereby enabling the sewing machine 2 to input the replacement of parts Ex and the repair of sewing machine 2 Rp into the history data acquisition unit 16 as the maintenance history of sewing machine 2.

[0040] The history data of the sewing machine 2 obtained by the history data acquisition unit 16 is stored in the history data storage unit 19 of the storage unit 10.

[0041] The calculation unit 17 generates recommendation data for replacing the sewing machine 2 based on the history data obtained by the history data acquisition unit 16. The calculation unit 17 determines whether the sewing machine 2 has reached its service life based on the history data. If the calculation unit 17 determines that the sewing machine 2 has reached its service life, it generates recommendation data before the sewing machine 2 reaches its service life.

[0042] The calculation unit 17 determines whether each of the multiple sewing machines 2 (2A, 2B, 2C) has reached its service life. The calculation unit 17 generates recommendation data for each of the multiple sewing machines 2 (2A, 2B, 2C). The calculation unit 17 individually determines whether each of the multiple sewing machines 2 has reached its service life and generates recommendation data that recommends the replacement of the sewing machine 2 that has been determined to have reached its service life.

[0043] In this embodiment, a tabular data representing the relationship between multiple items in the sewing machine 2's history and the score values ​​assigned to each item is stored in the computational data storage unit 20 of the storage unit 10. The computational unit 17 calculates the total score value Vr based on the history data obtained by the history data acquisition unit 16 and the tabular data stored in the computational data storage unit 20. The computational unit 17 then generates recommendation data based on the total score value Vr.

[0044] The output unit 18 causes the output device to output recommended data for replacing the sewing machine 2 generated in the calculation unit 17. In this embodiment, the output device includes a display device 4. Outputting the recommended data includes displaying the recommended data on the display device 4. The output unit 18 causes the display device 4 to display the recommended data calculated based on the historical data of the sewing machine 2. The output unit 18 causes the display device 4 to display the recommended data for each of the multiple sewing machines 2 (2A, 2B, 2C) individually. The output unit 18 causes the display device 4 to display recommended data for replacing sewing machines 2 that have been determined to have reached the end of their service life.

[0045] [Table Data]

[0046] Figure 3 This is a diagram used to illustrate the tabular data involved in the implementation method. As described above, tabular data is pre-stored in the computational data storage unit 20, which represents the relationship between multiple items in the history of the sewing machine 2 and the score values ​​assigned to each item.

[0047] In the implementation, the items in the sewing machine 2's history include the sewing machine 2's operating time Td, the power-on time Te of the sewing machine 2's electrical equipment, the rotational speed Rs of the sewing machine motor 12, the number of stitches Ns when the sewing machine 2 is sewing, the operating temperature Tp of the sewing machine 2, the operating humidity Hp of the sewing machine 2, the location Up of the sewing machine 2, the operating period Da of the sewing machine 2, the owner Ch of the sewing machine 2, the number of times the sewing machine 2 has been moved Nr, the moving distance Dr of the sewing machine 2, the replacement of parts of the sewing machine 2 Ex, and the repair Rp of the sewing machine 2.

[0048] The higher the value of the item in the history, the more severe the deterioration of the structural elements of sewing machine 2. The structural elements of sewing machine 2 include mechanical and electrical elements. The score is obtained by multiplying the item value by a predetermined constant. The constant can be any value. The higher the total score Vr, the shorter the remaining period of the sewing machine 2's service life, and the closer it is to the time when sewing machine 2 should be replaced.

[0049] In the history of sewing machine 2, there are items that have a significant impact on the lifespan of sewing machine 2 and items that have a minor impact on its lifespan. The constant multiplied by the value of an item with a significant impact on the lifespan of sewing machine 2 can be greater than the constant multiplied by the value of an item with a minor impact on its lifespan. This constant can also be considered a weight. The weight assigned to items with a significant impact on the lifespan of sewing machine 2 can be greater than the weight assigned to items with a minor impact on its lifespan.

[0050] Operating time Td is an item that affects the service life of structural elements of the sewing machine 2 that are not linked to the sewing machine needle. The longer the operating time Td, the more severe the deterioration of the structural elements of the sewing machine 2 that are not linked to the sewing machine needle. Figure 3 In the example shown, the constant multiplied by the operating time Td is "3".

[0051] The power-on time Te is an item that affects the service life of the electrical equipment of sewing machine 2. The longer the power-on time Te, the more severe the degradation of the electrical equipment of sewing machine 2. Figure 3 In the example shown, the constant multiplied by the energizing time Te is "3".

[0052] The rotational speed Rs of the sewing machine motor 12 is an item that affects the service life of the sewing machine motor 12 and its associated components. The higher the rotational speed Rs, the more severe the deterioration of the sewing machine motor 12 and its associated components. Figure 3 In the example shown, the constant multiplied by the rotational speed Rs is "3".

[0053] The needle count Ns is a factor affecting the lifespan of structural elements of the sewing machine 2 that are linked to the sewing machine needle, which moves reciprocally in the vertical direction. Examples of structural elements of the sewing machine 2 linked to the sewing machine needle include the take-up lever and the feed tube. A higher needle count Ns indicates more severe deterioration of the structural elements of the sewing machine 2 linked to the sewing machine needle. Figure 3 In the example shown, the constant multiplied by the number of stitches Ns is "5".

[0054] The ambient temperature (Tp) is a factor that affects the lifespan of the sewing machine 2. The higher the ambient temperature (Tp), the more severe the degradation of the sewing machine 2. Figure 3 In the example shown, the constant multiplied by the ambient temperature Tp is "7".

[0055] The ambient humidity (Hp) is a factor that affects the lifespan of the sewing machine 2. The higher the ambient humidity (Hp), the more severe the degradation of the sewing machine 2. Figure 3 In the example shown, the constant multiplied by the ambient humidity Hp is "7".

[0056] The location of use (Up) is an item that affects the lifespan of the sewing machine 2. The operating environment of the sewing machine 2 varies depending on the location (Up). For example, in a high-temperature and high-humidity location (Up), the sewing machine 2 deteriorates more rapidly. In a dusty location (Up), the sewing machine 2 deteriorates more rapidly. Depending on the location (Up, country or city), the power supply situation may differ, and the degree of deterioration of the sewing machine 2 may vary accordingly. The degree of deterioration of the sewing machine 2 may also vary depending on the culture, habits, or temperament of the user (Up). The score is predetermined for each location (Up). Figure 3 In the example shown, the score is "10,000" when using location Up as city A, "15,000" when using location Up as city B, and "20,000" when using location Up as city C. Furthermore, cities A, B, and C are just one example. The number of cities is arbitrary.

[0057] The operating period Da is an item that affects the service life of the sewing machine 2. For example, if the operating period Da is during the rainy season, the sewing machine 2 will deteriorate more severely compared to the dry season.Figure 3 In the example shown, the score is "20,000" when the operating period Da is the rainy season, and the score is "10,000" when the operating period Da is the dry season. Furthermore, the rainy season and dry season are just examples. The operating period Da can also be, for example, spring, summer, autumn, and winter.

[0058] Ownership (Ch) is an item that affects the service life of sewing machine 2. A change of ownership (Ch) means a change in the sewing factory where sewing machine 2 is installed. A change of ownership (Ch) also means a change in the location (Up) where sewing machine 2 is used. As mentioned above, the degree of deterioration of sewing machine 2 may vary depending on the location (Up). Furthermore, it is possible that sewing machine 2 is carefully operated in a sewing factory owned by one owner (Ch), while being roughly operated in a sewing factory owned by another owner (Ch). Figure 3 In the example shown, the score is "25,000" when owner Ch is owner A, and "30,000" when owner Ch is owner B. Furthermore, owner A and owner B are just examples. The number of owners Ch is arbitrary.

[0059] The number of relocations, Nr, is a factor affecting the service life of sewing machine 2. The more relocations Nr there are, the more severe the degradation of sewing machine 2. Figure 3 In the example shown, the constant multiplied by the number of relocations Nr is "2".

[0060] The relocation distance Dr is an item that affects the service life of sewing machine 2. The longer the relocation distance Dr, the more severe the deterioration of sewing machine 2. Figure 3 In the example shown, the constant multiplied by the displacement distance Dr is "2".

[0061] The component replacement frequency (Ex) is an item that affects the replacement cycle of sewing machine 2. High component replacement frequency leads to increased maintenance costs; therefore, replacing the entire sewing machine 2 is sometimes more cost-effective than replacing individual components multiple times. Furthermore, in cases requiring the replacement of critical components, replacing the entire sewing machine 2 is sometimes more cost-effective than replacing only the critical components. Figure 3 In the example shown, the score is "20,000" when component A is replaced, and "40,000" when component B is replaced. Furthermore, component A and component B are just examples. The types of components are arbitrary.

[0062] Repair frequency (Rp) is an item that affects the replacement cycle of sewing machine 2. When a certain part of sewing machine 2 requires frequent repairs, maintenance costs increase; therefore, replacing the entire sewing machine 2 is sometimes more cost-effective than repeatedly repairing that part. Furthermore, when repairs to critical parts are required, replacing the entire sewing machine 2 is sometimes more cost-effective than repairing only the critical parts. Figure 3 In the example shown, the score is "20,000" for repairing part A and "40,000" for repairing part B. Furthermore, parts A and B are just examples. The types of parts on the sewing machine are arbitrary.

[0063] The arithmetic unit 17 calculates the total score Vr. Figure 3 In the example shown, the total value Vr is the sum of the scores related to the operating time Td, the power-on time Te, the rotational speed Rs of the sewing machine motor 12, the number of stitches Ns, the ambient temperature Tp, the ambient humidity Hp, the location Up, the operating period Da, the owner Ch, the number of relocations Nr, the relocation distance Dr, the replacement of parts Ex, and the repair Rp.

[0064] The calculation unit 17 determines whether the difference ΔVr between the total value Vr and the predetermined threshold Vs is below a predetermined value ΔVs. If the calculation unit 17 determines that the difference ΔVr is below the predetermined value ΔVs, it generates recommended data.

[0065] [The relationship between the total score and the threshold]

[0066] Figure 4 This is a graph illustrating the relationship between the total score Vr and the threshold Vs involved in the implementation. A higher total score Vr means a shorter remaining period before the sewing machine 2 reaches its service life, and the closer it is to replacing the sewing machine 2. The total score Vr reaching the threshold Vs means a high probability that the sewing machine 2 will reach its service life and become unusable. The threshold Vs is equal to the total score Vr when the sewing machine 2 reaches its service life and becomes unusable. The threshold Vs is a predetermined value based on the actual (empirical) value of the total score Vr when the sewing machine 2 reaches its service life.

[0067] like Figure 4As shown in the [first state], when the difference ΔVr between the total value Vr and the threshold Vs is large, that is, when the difference ΔVr exceeds the specified value ΔVs, it means that the remaining period of the sewing machine 2's service life is long.

[0068] like Figure 4 As shown in the [Second State], when the difference ΔVr between the total value Vr and the threshold Vs is small, that is, when the difference ΔVr is below the specified value ΔVs, it means that the remaining period of the sewing machine 2 to reach its service life is short.

[0069] [Recommended calculation of replacement period]

[0070] In this embodiment, the calculation unit 17 calculates the recommended replacement period for the sewing machine 2. The calculation data storage unit 20 stores pre-stored relevant data relating the history of the sewing machine 2 to actual service life values. The calculation unit 17 calculates the recommended replacement period for the sewing machine 2 based on the history data of the sewing machine 2 obtained by the history data acquisition unit 16 and the relevant data stored in the calculation data storage unit 20. The recommended replacement period for the sewing machine 2 is the period when it reaches its service life or the period before it reaches its service life. The calculation unit 17 calculates the recommended replacement period for each of the multiple sewing machines 2 individually. The output unit 18 causes the display device 4 to display the recommended replacement period for the sewing machine 2 calculated by the calculation unit 17. The output unit 18 causes the display device 4 to display the recommended replacement period for each of the multiple sewing machines 2 individually.

[0071] For example, if relevant data relating the number of stitches Ns to the actual value of the sewing machine 2's service life is pre-extracted, the calculation unit 17 can calculate the recommended replacement period for the sewing machine 2 based on the number of stitches Ns obtained by the history data acquisition unit 16 and the pre-extracted relevant data. The calculation unit 17 substitutes the number of stitches Ns obtained by the history data acquisition unit 16 into the relevant data, thereby calculating the service life of the sewing machine 2. The recommended replacement period for the sewing machine 2 is the period when the sewing machine 2 reaches its service life or the period before the sewing machine 2 is about to reach its service life. Therefore, the calculation unit 17 can calculate the recommended replacement period for the sewing machine 2.

[0072] For example, if relevant data relating the ambient temperature Tp and the lifespan of the sewing machine 2 is pre-extracted, the calculation unit 17 can calculate the recommended replacement period for the sewing machine 2 based on the ambient temperature Tp obtained by the historical data acquisition unit 16 and the pre-extracted relevant data. The calculation unit 17 substitutes the ambient temperature Tp obtained by the historical data acquisition unit 16 into the relevant data, thereby calculating the lifespan of the sewing machine 2. The recommended replacement period for the sewing machine 2 is the period when the sewing machine 2 reaches its lifespan or the period before the sewing machine 2 reaches its lifespan. Therefore, the calculation unit 17 can calculate the recommended replacement period for the sewing machine 2.

[0073] The output unit 18 causes the display device 4 to display the recommended replacement period of the sewing machine 2 calculated by the calculation unit 17.

[0074] [Sewing Machine Management Methods]

[0075] Figure 5 This is a flowchart illustrating the sewing machine management method according to the embodiment. The history data acquisition unit 16 acquires the history data of each of the multiple sewing machines 2 (2A, 2B, 2C) installed in the sewing factory (step SA1).

[0076] The computing unit 17 is based on the history data obtained in step SA1 and the reference Figure 3 The table data is explained, and the scores related to each of the multiple items in the resume are calculated. The total score Vr of the multiple items is calculated (step SA2).

[0077] The calculation unit 17 compares the total score value Vr with a predetermined threshold Vs related to the score value. The calculation unit 17 determines whether the difference ΔVr between the total score value Vr and the threshold Vs is less than or equal to a predetermined value ΔVs (step SA3).

[0078] If in step SA3 it is determined that the difference ΔVr is not below the specified value ΔVs (step SA3: No), that is, if the determination is yes Figure 4 In the case of the [first state] shown, return to the processing of step SA1.

[0079] In step SA3, if the difference ΔVr is determined to be below the specified value ΔVs (step SA3: Yes), that is, if the determination is yes... Figure 4 In the case of the [second state] shown, the output unit 18 causes the display device 4 to display recommended data for replacing the sewing machine 2 (step SA4).

[0080] Furthermore, when the recommended replacement period of the sewing machine 2 is calculated by the calculation unit 17, the output unit 18 causes the display device 4 to display the recommended replacement period of the sewing machine 2.

[0081] [Effect]

[0082] As described above, according to the embodiment, the processor 8 of the management device 3 includes: a history data acquisition unit 16 that acquires history data representing the history of the sewing machine 2; and an output unit 18 that, based on the history data, causes the display device 4 to display recommendation data that recommends the replacement of the sewing machine 2.

[0083] According to the implementation method, based on the historical data of the sewing machine 2, recommended data for replacing the sewing machine 2 is displayed on the display device 4. By confirming the information on the display device 4, the manager can replace the sewing machine 2 that has reached the end of its service life with a new one at an appropriate time. By displaying the recommended data on the display device 4 before the sewing machine 2 reaches the end of its service life, the manager can replace the sewing machine 2 at an appropriate time.

[0084] The storage 10 of the management device 3 has a computational data storage unit 20, which stores tabular data representing multiple items in the history of the sewing machine 2 and the relationship between the scores assigned to each item. The processor 8 of the management device 3 has a computational unit 17, which calculates the total score Vr based on the history data and tabular data of the sewing machine 2. Thus, the computational unit 17 can generate appropriate recommendation data using multiple items in the history of the sewing machine 2.

[0085] [Other Implementation Methods]

[0086] In the above-described embodiment, the computation unit 17 can also calculate the recommended replacement period for the sewing machine 2 based on an artificial intelligence (AI) algorithm. When a trained model, with the sewing machine 2's history as input and its lifespan as output, is pre-stored in the computational data storage unit 20, the computation unit 17 can use the trained model stored in the computational data storage unit 20 to calculate the recommended replacement period for the sewing machine 2.

[0087] The trained model is learned based on the history of sewing machine 2 to determine the service life of sewing machine 2. In this implementation, the trained model is generated through deep learning. During the deep learning phase, multiple items from the history of sewing machine 2 are input into the learner. The learner learns the features contained in the history of sewing machine 2. The learner learns from multiple history records of sewing machine 2 and extracts the features contained in the history of sewing machine 2. Based on the features of the history of sewing machine 2, the learner generates a trained model that takes the history of sewing machine 2 as input and the service life of sewing machine 2 as output. The trained model generated by the learner is stored in the computational data storage unit 20.

[0088] The training model described below is stored in the computational data storage unit 20. This training model is learned based on the history of the sewing machine 2 to determine the service life of the sewing machine 2. The computation unit 17 uses the training model stored in the computational data storage unit 20 to calculate the period when the sewing machine 2 reaches its service life. The history data acquisition unit 16 acquires the history data of the sewing machine 2. The computation unit 17 inputs the history data of the sewing machine 2 into the training model and calculates the period when the sewing machine 2 reaches its service life. The period when the sewing machine 2 reaches its service life or the period before the sewing machine 2 is about to reach its service life is the recommended replacement period of the sewing machine 2. Therefore, the computation unit 17 can calculate the recommended replacement period of the sewing machine 2.

[0089] Explanation of the label

[0090] 1…Sewing machine management system, 2…Sewing machine, 2A…First sewing machine, 2B…Second sewing machine, 2C…Third sewing machine, 3…Management device, 4…Display device, 5…Input device, 6…Operation panel, 7…Controller, 8…Processor, 9…Main memory, 10…Memory, 11…Interface, 12…Sewing machine motor, 13…Actuator, 14…Sensor, 15…Network, 16…Record data acquisition unit, 17…Computation unit, 18…Output unit, 19…Record data storage unit, 20…Computation data storage unit.

Claims

1. A sewing machine management system, comprising: The history data acquisition department acquires history data representing the history of sewing machines; and The output unit, based on the historical data, outputs recommended data for replacing the sewing machine.

2. The sewing machine management system according to claim 1, wherein, have: The computational data storage unit stores tabular data that represents the relationship between multiple items in the resume and the score values ​​assigned to each item. as well as The calculation unit calculates the total score based on the resume data and the table data. The output unit, based on the total value, causes the output device to output the recommended data.

3. The sewing machine management system according to claim 2, wherein, The calculation unit determines whether the difference between the total value and a predetermined threshold is below a specified value. If it is determined that the difference is below the specified value, the output unit causes the output device to output the recommended data.

4. The sewing machine management system according to claim 3, wherein, The threshold is equal to the total value when the sewing machine reaches its durable lifespan.

5. The sewing machine management system according to claim 1, wherein, have: The computational data storage unit stores relevant data that represents the relationship between the history of the sewing machine and the actual value of the sewing machine's service life. as well as The calculation unit, based on the historical data and the relevant data, calculates the recommended replacement period for the sewing machine. The output section causes the output device to output the recommended replacement period.

6. The sewing machine management system according to claim 1, wherein, The history includes the operating history of the sewing machine. The operation history includes at least one of the following: the operating time of the sewing machine, the power-on time of the electrical equipment of the sewing machine, the rotational speed of the sewing machine motor, and the number of stitches when the sewing machine is sewing.

7. The sewing machine management system according to claim 1, wherein, The resume includes the usage environment history of the sewing machine. The usage environment history includes at least one of the following: ambient temperature of the sewing machine, ambient humidity of the sewing machine, country or city where the sewing machine is used, operating years of the sewing machine, owner of the sewing machine, number of times the sewing machine has been moved, and relocation distance of the sewing machine.

8. The sewing machine management system according to claim 1, wherein, The record includes the maintenance history of the sewing machine. The maintenance log includes at least one of the following: replacement of parts of the sewing machine and repair of the sewing machine.

9. A sewing machine management method, comprising the following steps: Obtain history data representing the history of the sewing machine; and Based on the historical data, the output device outputs recommended data for replacing the sewing machine.

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