An automatic statistics system for work station productivity of a clothing workshop and a statistics method thereof

Abstract

The application discloses a kind of application clothing workshop's work station capacity automatic statistics system and its statistical method, it is related to intelligent workshop management field, including: one socket module, the socket module includes a power supply jack and a power plug, to power supply for the sewing equipment, the power plug is connected to power supply;And an automatic statistics device, the automatic statistics device includes: a current induction module, output current induction signal;Analog-digital conversion module, output a conversion digital signal;A data processing module, output a processing signal;A data display module, the processing signal is transmitted to the data display module and is shown;And a power module, conversion voltage is suitable for each module. The yield of each work station can be accurately counted, without modifying sewing equipment, using adaptive and big data analysis algorithm, automatically counting the work station yield of workshop and analyzing yield.

Description

Technical Field

[0001] This invention relates to the field of intelligent workshop management, and in particular to an automatic statistical system and method for calculating the production capacity of workstations in garment workshops. Background Technology

[0002] my country is a major garment producer, and the garment and textile industry still accounts for a significant portion of the national GDP. However, the textile industry, especially sewing workshops, generally suffers from inaccurate production capacity statistics, time-consuming reporting by team leaders, and difficulty in ascertaining actual employee work efficiency. The usual practice is to rely on employees voluntarily reporting their output, supplemented by supervision from workshop managers. On the one hand, employee self-reporting makes accurate statistics difficult; on the other hand, with increasing marketization, the demand for precise output down to the piece count is growing, forcing workshop managers to constantly monitor and supervise the work efficiency of their staff.

[0003] In invention patent application publication number 201710823750.2, an online production management system and its management method for a sewing production line are disclosed. The technical solution of this patent provides a metronome, which is installed at the workstation and connected to the control system. The timing data of the metronome is manually recorded by the operator, and the interval between two touches of the metronome by the operator simulates the working time for completing one product. The control system collects the data from the metronome, calculates the statistical average, and calculates the total production capacity data of multiple workstations.

[0004] In the above technical solution, a metronome is set up at the employee's workstation. Each time an employee completes the sewing of a garment or a set of clothing, they manually press the button on the counting device. This operation is prone to errors, especially for some inexperienced employees, who are likely to miss or press the button too often. Therefore, it is difficult to accurately guarantee the statistics of output. Even if an average is calculated, it will still affect the normal operating habits of employees and even affect their enthusiasm.

[0005] In another invention patent application with publication number 201810877724.2, an Internet of Things sewing machine system is disclosed. In the technical solution of this patent, a sewing machine data collector is provided. The sewing machine data collector records the employee information of the operator, the product model number and process of the sewing machine. The sewing machine data collector counts the products produced by the sewing machine and uploads the production information to the central processing station in real time.

[0006] In the above technical solution, the sewing machine data acquisition device includes an MCU controller, a touch counting button, a peripheral counting signal acquisition circuit, a touch screen, a communication module, and an RFID card reader module. The RFID card reader module, touch counting button, peripheral counting signal acquisition circuit, touch screen, and communication module are all communicatively connected to the MCU controller. The peripheral counting signal acquisition circuit is located on the sewing machine. When the sewing machine completes the sewing of a product, it generates a counting signal. The peripheral counting signal acquisition circuit collects the counting signal from the operation of the sewing machine and transmits the collected counting signal to the MCU controller.

[0007] It is known that this technical solution requires modification of sewing equipment. However, some small factories have only a limited number of sewing machines, so modification is unnecessary. Furthermore, to save costs, it is difficult to persuade factories to make such modifications. Therefore, even if there is a certain demand, there are problems such as inaccurate actual statistics and poor operability, resulting in a less than ideal experience.

[0008] Therefore, in reality, there are very few workstation statistics systems in sewing workshops that are stable, accurate, and do not require modification of sewing equipment. Summary of the Invention

[0009] This invention provides an automatic production capacity statistics system and method for garment workshops, which can accurately count the output of each workstation without modifying sewing equipment. It adopts adaptive and big data analysis algorithms to automatically count the output of each workstation in the workshop and analyze the output.

[0010] Specifically, the technical problem to be solved by the present invention is that the sewing equipment can be directly plugged into the modified socket module without modification. The socket module includes a sewing machine plug, an automatic counting device, system protection devices, etc.

[0011] Specifically, the technical problem to be solved by the present invention is to accurately calculate the output of the workstation by statistically analyzing the working current parameters of the sewing machine, such as waveform changes, to determine the current number of operations and then calculate the current output.

[0012] Specifically, the technical problem to be solved by the present invention is big data statistics and analysis, acquiring data at the workstation, performing cloud-edge collaborative computing and correction, and directly displaying the current statistical data.

[0013] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0014] An automatic production capacity statistics system for garment workshops, applicable to sewing equipment, includes:

[0015] A socket module includes a power supply socket and a power cord, wherein the power supply socket is adapted to connect the cord of the sewing equipment to supply power to the sewing equipment, and the power cord is connected to an external power source; and

[0016] An automatic statistical device, the automatic statistical device comprising:

[0017] A current sensing module is attached to the power plug and outputs a current sensing signal.

[0018] An analog-to-digital converter module receives a current sensing signal and outputs a converted digital signal;

[0019] A data processing module receives the conversion signal, processes and analyzes it, and outputs a processed signal;

[0020] A data display module, wherein the processed signal is transmitted to the data display module for display; and

[0021] A power module that connects to the socket module and converts the voltage to suit each module.

[0022] Preferably, the automatic workstation capacity statistics system further includes a server, and the automatic statistics device further includes a network communication module, through which the processing signals of the data processing module are transmitted to the server.

[0023] Preferably, the data processing module has a built-in storage unit for storing processed production capacity statistics.

[0024] Preferably, the server further includes a comprehensive computing unit and a database. The comprehensive computing unit receives data signals from the data processing modules corresponding to all sewing equipment in the garment workshop and performs comprehensive processing calculations. The comprehensive computing unit is communicatively connected to the database and transmits the comprehensive processing and calculation results of the production capacity statistics to the database. The comprehensive computing unit obtains the comprehensive processing and calculation results of the data and performs verification. If a production capacity deviation occurs, it outputs a correction signal.

[0025] Preferably, the server is connected to at least one terminal device via the network communication module, so that the server's statistical analysis results are transmitted to the terminal device.

[0026] Preferably, the socket module further includes a temperature detection module, which is disposed in the socket module and outputs a temperature signal.

[0027] Preferably, the socket module further includes a system protection module, which connects the temperature detection module and the current sensing module. When the temperature signal output by the temperature detection module exceeds a threshold and the induced current signal output by the current sensing module exceeds a threshold, the system protection module disconnects the current and outputs the signal to the data display module.

[0028] The present invention also provides a statistical method, comprising the following steps:

[0029] (a) The automatic production capacity statistics system of the workstation connects the sewing equipment and the external power supply to run the sewing equipment;

[0030] (b) Adaptively acquire the induced current signal at the operating station and calculate the reference parameters;

[0031] (c) Acquire and convert the induced current signal on the operating station in real time and match the reference parameters;

[0032] (d) Output production capacity statistics, display them cumulatively, and transmit them to the server.

[0033] Preferably, in step (b), a method for obtaining reference parameters is provided, including the following steps:

[0034] (b1) Automatically acquire induced current signals over a period of time;

[0035] (b2) Extract and analyze the characteristic parameters of the entire garment manufacturing process;

[0036] (b3) and calculate the baseline parameters.

[0037] Preferably, after step (d), the present invention further provides a system protection method, comprising the following steps:

[0038] (e1) Acquire the temperature signal and determine whether the temperature signal exceeds the threshold;

[0039] (e2) Acquire the induced current signal and determine whether the induced current signal exceeds the threshold;

[0040] (e3) If either or more of the temperature signal and the induced current signal exceed the threshold, an over-temperature signal and / or an over-current signal will be output, thereby shutting off the current and simultaneously outputting to the data display module to display the current fault cause.

[0041] By adopting the above technical solution, the beneficial effects of the present invention are as follows:

[0042] First, it is used for automatic statistics of workstation capacity in the garment and textile production process, and can accurately obtain equipment operation data and actual workstation capacity data.

[0043] Secondly, it also has special protection functions such as overcurrent protection and overtemperature protection, which can ensure the safe and stable operation of the system;

[0044] Third, by combining adaptive algorithms with big data, it can accurately count the production capacity of different types, processes, and personnel, effectively solving problems such as difficulty in accounting, long processing time, and inaccuracy in textile workshops.

[0045] Fourth, no modification to sewing equipment is required. In summary, the automatic workstation capacity statistics system designed in this invention possesses comprehensive capacity statistics functions, including actual capacity statistics and employee efficiency statistics, while also featuring multiple system protection functions to ensure safe, reliable, and stable system operation. Attached Figure Description

[0046] Figure 1 This is a schematic diagram of the installation of the automatic workstation statistics system described in this invention;

[0047] Figure 2 This is a schematic diagram of the structure of the automatic statistical device of the workstation automatic statistical system described in this invention;

[0048] Figure 3 This is a schematic diagram of the server structure of the automatic workstation statistics system described in this invention;

[0049] Figure 4 This is a schematic diagram illustrating two methods for calculating the production capacity statistics of the automatic workstation statistics system described in this invention;

[0050] Figure 5 This is a schematic diagram of an improved embodiment of the modified socket of the automatic workstation statistics system of the present invention;

[0051] Figure 6 This is a schematic diagram of the system operation flow of the automatic workstation statistics system described in this invention;

[0052] Figure 7 This is a schematic diagram of the capacity statistics process for the application benchmark parameters of the automatic workstation statistics system described in this invention. Detailed Implementation

[0053] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. It should be noted that these descriptions are for the purpose of aiding understanding the present invention, but do not constitute a limitation thereof. Furthermore, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0054] like Figure 1-3As shown, the present invention provides an automatic production capacity statistics system for a garment workshop. The automatic production capacity statistics system includes a socket module 10, which includes a power cord 11 and a power supply socket 12. The power supply socket 12 is adapted to connect the cord of the sewing equipment to supply power to the sewing equipment. The power cord 11 is connected to an external power source for supplying power.

[0055] In conventional workstation capacity statistics solutions, the provided workstation statistics are obtained by collecting data parameters from the sewing equipment itself, such as the frequency of foot pedaling or the operating time of the sewing machine. However, the system solution of this invention uniquely utilizes the socket module 10. On the one hand, it eliminates the need to modify the structure of the sewing equipment itself; simply inserting the sewing equipment's cord into the power socket 12 is sufficient to operate the sewing equipment. On the other hand, during the operation of the sewing equipment, an automatic statistics device 20 is installed in the socket module 10 to acquire the induced current signal of the sewing equipment and to obtain capacity statistics based on the processing and analysis of the induced current signal.

[0056] It should be noted that the induced current signal of the sewing equipment is often different in each process. Different equipment, different processes, and even different personnel operating the same equipment and processes may lead to differences in the induced current signal. Therefore, by acquiring and analyzing the characteristic parameters of the induced current signal of the sewing equipment, the current production capacity data of the sewing equipment can be analyzed and calculated.

[0057] Specifically, the automatic statistical device 20 includes a power module 21, which connects to the socket module 10, so that the voltage data of the external power supply is converted into a voltage suitable for the other modules, such as 9V, 5V, 3.3V, etc., and provides power to all other modules of the automatic statistical device 20.

[0058] The automatic statistical device 20 also includes a current sensing module 22, which receives characteristic parameters of the current. Since the current sensing module 22 is directly attached to the power cord 11, the induced current signal of the power supply socket 12 is the induced current signal of the sewing equipment.

[0059] It is important to note that during operation, the sewing equipment performs different processes, resulting in variations in current waveforms, energy output, and time pauses. For example, by analyzing the changes in the acquired current waveform, it is possible to calculate the current characteristic parameters completed by the sewing equipment within a certain time period. Furthermore, for a sewing equipment, the current waveform of its standard processes remains stable within a certain range, thus serving as a basic reference data for matching and judgment.

[0060] The automatic statistical device 20 also includes an analog-to-digital converter 23. The current sensing module 22 outputs an induced current signal, and the analog-to-digital converter 23 receives the current induced current signal and outputs a converted digital signal. The induced current signal is an analog current signal, and the converted signal is a digital current signal.

[0061] The automatic statistical device 20 further includes a data processing module 24 and a data display module 25. The data processing module 24 receives the digital current signal, processes and analyzes it, and transmits the processed production capacity data to the data display module 25 for display. Furthermore, the data processing module 24 includes a storage unit 240, allowing data in the data processing module 24 to be temporarily stored in the storage unit 240. In one specific embodiment, the data processing module 24 is configured as a main control module processor, and the data display module 25 is configured as a display screen.

[0062] Furthermore, the automatic workstation capacity statistics system also includes a server 30, which stores workstation information, including the workstation number, the corresponding sewing machine number, and the corresponding operator information, such as sewing machine number 01 at workstation number 1 and operator Zhang San. It also stores process information for different sewing machines, including the current sewing machine's baseline parameters. The automatic workstation capacity statistics system first collects induced current signals over a period of time, analyzes the waveform of these signals, and extracts characteristic parameters, including current waveform, current energy, pause and duration, etc. Based on these characteristic parameters, baseline parameters are calculated and output. These baseline parameters become the benchmark values ​​for matching and comparing the data parameters in the subsequent induced current signals. Finally, based on the benchmark values ​​of the baseline parameters, the system matches and judges the statistical data of the workstation capacity and outputs the data.

[0063] While the server 30 receives the current production capacity data for each workstation, the equipment at different workstations may be performing different processes. Since the processes on a production line are linearly sequential, the production capacity data of the subsequent process will generally not exceed that of the preceding process. Therefore, by comparing the calculated production capacity data of different processes, especially adjacent processes, if the production capacity data of a subsequent process significantly exceeds that of the preceding process, data correction may be necessary according to the data correction rules.

[0064] The processing signal output by the data processing module 24 is transmitted to the data display module 25 as a display signal. Typically, when the sewing equipment starts, the initial display value of the data display module 25 is "0". Each time a processing signal is input upon completion of a process, the data display module 25 outputs a display signal, increasing the initial display value by "1". It is worth noting that the processing signal output by the data processing module 24 is transmitted to the server 30. Therefore, even if the sewing equipment restarts due to a power outage, the data displayed on the data display module 25 remains at the production capacity statistics before the power outage, and the data is still stored on the server 30.

[0065] It should be noted that the equipment will be restarted in the following situations: first, when it starts running every morning; second, during employee lunch break; third, during work breaks; and fourth, during a sudden power outage. The server 30 has an interaction rule configured for this: when it starts running every morning, the data displayed on the data display module 25 is reset to zero; during lunch break, work breaks, or in the event of a power outage, the original production capacity data is maintained, and subsequent production capacity statistics are overlaid on top of the original data.

[0066] A network communication module 26 is also provided between the data processing module 24 and the server 30. The network communication module 26 connects the data processing module 24 and the server 30, so that the data transmission between the two can achieve stable and fast transmission.

[0067] In a specific implementation, the current sensing module 22 acquires an induced current signal over a period of time (e.g., approximately 10 minutes). The data processing module 24 analyzes and extracts characteristic parameters from the acquired induced current signal, such as current waveform, current energy, and pause time, and finally calculates and outputs a reference parameter. This reference parameter represents the baseline parameters for a complete process of one garment or a set of clothes in the sewing equipment. Therefore, when the subsequent induced current signal is processed and output in real time, when matched with the reference parameter, a production capacity statistical signal for one garment or a set of clothes is output.

[0068] For example, in a specific implementation case, a sewing workshop has a total of 20 sewing machines. At this time, 20 corresponding socket modules 10 and automatic statistics devices 20 are needed. After the automatic statistics devices 20 and socket modules 10 are installed according to the normal procedure, each sewing machine starts to operate. Each time the data processing module 24 outputs a production capacity statistics signal, the data processing module 24 transmits the production capacity statistics signal to the data display module 25 and performs cumulative display.

[0069] The server 30 is connected to at least one other terminal device through the network communication module 26, so that the analysis and statistical results of the server 30 are transmitted to the terminal device. The terminal device can be a tablet, computer, or mobile phone, etc., so that the data of the server 30 can be transmitted to other terminal devices through the network or other means for easy viewing at any time.

[0070] More specifically, the server 30 also includes a database 300, which stores the cumulative production capacity statistics signal output by the data processing module 24. Specifically, the data processing module 24 has a built-in storage unit 240 for temporarily storing a certain amount of data, and all sewing machines at all workstations can store data in the database 300. Typically, a large garment workshop may have thousands of sewing machines, and an ordinary garment workshop may have dozens or hundreds, resulting in a massive amount of data generated daily by all the sewing machines.

[0071] Furthermore, the server 30 also includes a comprehensive computing unit 31. The comprehensive computing unit 31 obtains the production capacity statistics signal of the corresponding workstation through the network communication module 26, performs calculations, and analyzes the data. The comprehensive computing includes comprehensively processing the data of sewing equipment corresponding to all workstations in the garment workshop (including data of a single workstation, data of a work group, data of the entire workshop, etc.) and performing system calculations and outputs.

[0072] In addition, the integrated algorithm unit 31 also includes a verification and correction function, which obtains the average production capacity data calculated and output by the integrated calculation unit 31, and determines whether the production capacity data for the current period deviates from the average production capacity data. For example, if the deviation is greater than 20% (which can be calculated from the largest deviation value within a period of time), a correction signal is output to indicate data abnormality, requiring a pause or restart. For example, if the average daily production capacity of the same sewing machine is 1000 sets over a period of time, and the production capacity on a particular day is only 700 sets, with the operator, operating time, and operating content being basically the same, then a data abnormality signal is output, requiring a pause for maintenance or a restart of the equipment, and this is recorded in the integrated calculation unit 31.

[0073] It is understood that the data of the integrated computing unit 31 in the server 30 is transmitted to the database 300 for storage. The server 30 is connected to at least one terminal device, such as a tablet, mobile phone, or computer, to display the daily production capacity statistics on the screen through these terminal devices. At the same time, the production capacity statistics can be processed again through the terminal devices.

[0074] The specific system operation is as follows:

[0075] After the sewing equipment is connected to the automatic workstation capacity statistics system and the external power supply, the sewing equipment begins to operate. At this time, for a period of time after the start, the automatic workstation capacity statistics system does not start counting immediately, but enters the adaptive algorithm stage.

[0076] Specifically, in the adaptive algorithm stage, the automatic statistical device 20 begins to acquire induced current signals and then performs an adaptive learning process. The adaptive learning process includes: acquiring the characteristic parameters of the induced current signals in this process, refining and analyzing them, and calculating the baseline parameters, which are the set of characteristic parameters of the entire garment process; it also includes calculating the workstation capacity data for a period of time based on the baseline parameters, that is, the number of garments completed.

[0077] like Figure 4 As shown in the above embodiment, the present invention provides a calculation method. The entire statistical process includes an adaptive algorithm stage and a conventional stage. The adaptive algorithm stage involves capturing and refining the induced current signal over a period of time from the start of operation. Based on the characteristic parameters in the refined and analyzed induced current signal, a baseline parameter is calculated. The calculation time for specific workstation statistics begins from the start of operation. That is, the calculated baseline parameter is used to perform capacity statistics on the induced current signal throughout the entire statistical process. The specific matching rule is as follows: characteristic parameters in the induced current signal over a period of time are acquired in real time and matched with the baseline parameter. If the characteristic parameter values ​​of the two match, a capacity statistical signal is output, where the threshold error is between ±5% and 25%.

[0078] This invention also provides a second calculation method. Since the calculation of the baseline parameters has already been completed in the adaptive algorithm stage, the workstation capacity data in this stage can be directly calculated. Therefore, the calculation is performed directly from the conventional stage using the baseline parameters, and then the capacity data from the conventional stage and the capacity data from the adaptive algorithm stage are superimposed.

[0079] In addition to the two calculation methods mentioned above, this invention can also provide another calculation method, namely, obtaining benchmark parameters through previous calculations or by calling from an external source, and performing capacity statistics on the induced current signal throughout the statistical process. It should be noted that the induced current signal is acquired, converted, matched, and judged in real time.

[0080] like Figure 5 As shown, in another embodiment, the present invention further improves the socket module 10. In this embodiment, the socket module 10 further includes a temperature detection module 13, which detects both the temperature change of the socket module 10 and the temperature change of the automatic statistical device 20.

[0081] In addition, the socket module 10 also includes a system protection module 14, which includes an over-temperature protection mechanism. In this mechanism, the system protection module 14 acquires the temperature signal from the temperature detection module 15. The temperature detection module 13 is set with a maximum temperature range. When the system is running and the internal temperature exceeds the set maximum temperature value, the temperature detection module 13 outputs a temperature signal. If the system protection module 14 detects that the current temperature signal exceeds a set threshold, it outputs an over-temperature signal and activates the over-temperature protection function, temporarily shutting down the power. Simultaneously, it outputs an over-temperature fault signal to the data display module 25, thereby displaying the cause of the current fault.

[0082] The system protection module 14 also includes an overcurrent protection mechanism. In this mechanism, the system protection module 14 acquires the current signal from the current sensing module 22. The current sensing module 22 has a maximum current threshold. When the current exceeds the set maximum current threshold during system operation, the current sensing module 22 outputs a current signal. The system protection module 14 detects that the current signal exceeds the set threshold, outputs an overcurrent signal, and activates the overcurrent protection function, temporarily shutting down the power. Simultaneously, it outputs an overcurrent fault signal to the data display module 25, thereby displaying the cause of the current fault.

[0083] The main function of the system protection module 14 is to monitor some environmental parameters of the system operation. When an abnormality occurs, the protection function is activated and measures such as cutting off the power supply are taken to prevent the hardware environment of the system from being burned or damaged. Without the protection function, a fire may occur in serious cases, threatening personal safety or causing property damage.

[0084] like Figure 6 As shown, based on the above system content, the present invention provides a system operation flow, including the following steps:

[0085] First, turn on the power;

[0086] Second, module initialization;

[0087] Third, adaptive calculation of benchmark parameters;

[0088] Fourth, acquire and convert induced current signals in real time;

[0089] Fifth, match the baseline parameters and output production capacity statistics;

[0090] Sixth, display the cumulative data and transmit it to the server.

[0091] It should be noted that the fourth step continues from the start of operation. In the fifth and sixth steps, the production capacity statistics are obtained by matching the induced current signal acquired from the start of operation with the reference parameters.

[0092] In addition, in the fifth and sixth steps, the capacity statistics can also be the capacity statistics obtained after calculating the reference parameters, which are then matched with the reference parameters and the output capacity statistics are superimposed on the capacity statistics from the calculation stage.

[0093] Based on the above system operation flow, an adaptive algorithm flow is further provided, including the following steps:

[0094] First, it automatically acquires the induced current signal over a period of time;

[0095] Second, extract and analyze the characteristic parameters of the entire garment manufacturing process;

[0096] Third, calculate the baseline parameters.

[0097] Based on the above system operation process and capacity statistics process, this invention provides a statistical method, including the following steps:

[0098] (a) The automatic production capacity statistics system of the workstation connects the sewing equipment and the external power supply to run the sewing equipment;

[0099] (b) Adaptively acquire the induced current signal at the operating station and calculate the reference parameters;

[0100] (c) Acquire and convert the induced current signal on the operating station in real time and match the reference parameters;

[0101] (d) Output production capacity statistics, display them cumulatively, and transmit them to the server.

[0102] Based on the above statistical methods, in step (b), the present invention further provides a method for obtaining benchmark parameters, including the following steps:

[0103] (b1) Automatically acquire induced current signals over a period of time;

[0104] (b2) Extract and analyze the characteristic parameters of the entire garment manufacturing process;

[0105] (b3) and calculate the baseline parameters.

[0106] According to the above statistical method, in step (d), the production capacity statistics are the induced current signals acquired in real time since the start of operation, matched with the reference parameters, and displayed cumulatively.

[0107] According to the above statistical method, in step (d), the production capacity statistics can also be the induced current obtained in real time after the benchmark parameter is calculated, matched with the benchmark parameter, and the production capacity statistics during the benchmark parameter calculation period are accumulated and superimposed.

[0108] like Figure 7 As shown, based on the above statistical method, after step (d), the present invention further provides a system protection method, including the following steps:

[0109] (e1) Acquire the temperature signal and determine whether the temperature signal exceeds the threshold;

[0110] (e2) Acquire the induced current signal and determine whether the induced current signal exceeds the threshold;

[0111] (e3) If either or more of the temperature signal and the induced current signal exceed the threshold, an over-temperature signal and / or an over-current signal will be output, thereby shutting off the current and simultaneously outputting to the data display module to display the current fault cause.

[0112] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. For those skilled in the art, various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and these variations still fall within the protection scope of the present invention.

Claims

1. An automatic production capacity statistics system for garment workshops, applicable to sewing equipment, characterized in that, include: A socket module includes a power supply socket and a power cord, wherein the power supply socket is adapted to connect the cord of the sewing equipment to supply power to the sewing equipment, and the power cord is connected to an external power source; as well as An automatic counting device, wherein the automatic counting device is disposed in the socket module, the automatic counting device comprising: A current sensing module is attached to the power connector and outputs a sensed current signal. An analog-to-digital converter module receives an induced current signal and outputs a converted digital signal; A data processing module enters an adaptive algorithm stage after the sewing equipment is turned on. The data processing module receives the converted digital signal, analyzes and extracts characteristic parameters from the acquired induced current signal, and calculates and outputs a reference parameter based on the characteristic parameters of the induced current signal acquired after the sewing equipment has been running for a period of time. The reference parameter represents the complete process of one garment or one set of clothing in the sewing equipment. After calculating the reference parameter, the data processing module also acquires and converts the induced current signal at the operating station for a period of time in real time, calculates the characteristic parameters of the induced current signal completed by the sewing equipment during that period by analyzing the changes in the current waveform. When the characteristic parameters of the received induced current signal match the reference parameter, it outputs a production capacity statistical signal for one garment or one set of clothing. The characteristic parameters include current waveform, current energy, pause, and duration. A data display module, which processes signals transmitted to the data display module for display; and A power module that connects to the socket module and converts the voltage to suit each module.

2. The automatic workstation capacity statistics system according to claim 1, characterized in that, The automatic workstation capacity statistics system also includes a server, and the automatic statistics device also includes a network communication module. The processing signals of the data processing module are transmitted to the server through the network communication module.

3. The automatic workstation capacity statistics system according to claim 2, characterized in that, The data processing module has a built-in storage unit for storing processed production capacity statistics.

4. The automatic workstation capacity statistics system according to claim 3, characterized in that, The server also includes a comprehensive computing unit and a database. The comprehensive computing unit receives data signals from the data processing modules corresponding to all sewing equipment in the garment workshop and performs comprehensive processing calculations. The comprehensive computing unit is communicatively connected to the database and transmits the comprehensive processing and calculation results of the production capacity statistics to the database. The comprehensive computing unit obtains the comprehensive processing data and performs verification. If a production capacity deviation occurs, it outputs a correction signal.

5. The automatic workstation capacity statistics system according to claim 4, characterized in that, The server connects to at least one terminal device via the network communication module, enabling the server's statistical analysis results to be transmitted to the terminal device.

6. The automatic workstation capacity statistics system according to claim 1, characterized in that, The socket module also includes a temperature detection module, which is installed in the socket module and outputs a temperature signal.

7. The automatic workstation capacity statistics system according to claim 6, characterized in that, The socket module also includes a system protection module. The system protection module connects the temperature detection module and the current sensing module. When the temperature signal output by the temperature detection module exceeds a threshold and the induced current signal output by the current sensing module exceeds a threshold, the system protection module disconnects the current and outputs the signal to the data display module.

8. A statistical method applicable to an automatic workstation capacity statistics system for garment workshops according to any one of claims 1-7, characterized in that, Includes the following steps: (a) The automatic production capacity statistics system of the workstation connects the sewing equipment and the external power supply to run the sewing equipment; (b) Adaptively acquire the induced current signal at the operating station and calculate the reference parameters; (c) Acquire and convert the induced current signal at the operating station in real time and match the reference parameters; (d) Output production capacity statistics, display them cumulatively, and transmit them to the server.

9. The statistical method according to claim 8, characterized in that, In step (b), a method for obtaining benchmark parameters is provided, including the following steps: (b1) Automatically acquire induced current signals over a period of time; (b2) Extract and analyze the characteristic parameters of the entire garment manufacturing process; (b3) and calculate the baseline parameters.

10. The statistical method according to claim 8, characterized in that, Following step (d), a system protection method is provided, comprising the following steps: (e1) Acquire the temperature signal and determine whether the temperature signal exceeds the threshold; (e2) Acquire the induced current signal and determine whether the induced current signal exceeds the threshold; (e3) If either or more of the temperature signal and the induced current signal exceed the threshold, an over-temperature signal and / or an over-current signal will be output, thereby shutting off the current and simultaneously outputting an alarm signal to display the cause of the current fault.

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