FIPG glue extrusion jig and glue extrusion bag glue extrusion method

Abstract

The invention belongs to the technical field of gluing machines, and discloses an FIPG glue extrusion jig and a glue extrusion bag glue extrusion method. According to the FIPG glue extruding jig, a glue extruding frame is a right-trapezoid metal frame, the inclined face of the right-trapezoid metal frame is a smooth metal plate face, and the inclined face is welded to an upper metal pipe and a lower metal pipe of the right-trapezoid metal frame in a welding mode; the FIPG glue extruding jig further comprises a glue extruding rod used for extruding glue. According to the invention, the previous hand extrusion is changed into the existing jig extrusion, so that the operation efficiency is improved, and a large amount of glue liquid is prevented from being remained. The jig has the advantages that the problems of incomplete squeezing and residual glue solution are solved, and support is provided for improving the utilization rate of the FIPG.

Description

Technical Field

[0001] The invention belongs to the technical field of glue coating machines, and in particular relates to a FIPG glue squeezing jig and a glue squeezing method for a glue squeezing bag. Background Art

[0002] The utilization rate of FIPG glue in the prior art is low, and too much residual glue is left at the two bottom corners of the plastic bag and is not used, which easily causes incomplete squeezing and residue. During the glue replacement, it is time-consuming and laborious, increasing the operation time (8 minutes), and it is easy to squeeze the plastic bag, making the entire bag of glue liquid unusable (18kg). Summary of the invention

[0003] In order to overcome the problems existing in the related art, the disclosed embodiments of the present invention provide a FIPG glue squeezing jig and a glue squeezing bag method, specifically designed in the field of TNGA1.2# assembly line (FIPG single and double liquid glue coating machine, a total of 5 glue coating machines and 16 barrels of glue). Design an improved FIPG glue squeezing method (glue squeezing rack).

[0004] The technical scheme is as follows: A method for squeezing glue from a plastic bag, comprising:

[0005] S1, take out the glue extrusion frame of the FIPG glue extrusion fixture;

[0006] S2, placing the unsealed bottom corner of the extruded plastic bag to be processed on the inclined surface of the extruded plastic rack;

[0007] S3, using adhesive tape to adhere and fix the bottom corner of the squeezed plastic bag to be processed;

[0008] S4, take out the glue squeezing stick, squeeze the glue liquid from the bottom corner to the middle, confirm the glue squeezing state, and then use the glue suction head to extract the glue liquid.

[0009] In step S2, a bottom corner of the extruded plastic bag to be processed is at a distance from the inclined surface; the widest edge lines on both sides of the extruded plastic bag to be processed are at a distance from the left and right sides of the inclined surface.

[0010] Furthermore, the remaining glue liquid at the other bottom corner of the squeezed glue bag to be processed is squeezed to the middle part by using the above steps S1 to S4, and the squeezed glue state is confirmed, and then the glue liquid is extracted by using a glue suction head.

[0011] In step S2, the slope of the inclined surface is simulated and designed by a slope design method built into the computer, and the inclined surface is visually exported to produce a glue extrusion rack.

[0012] Furthermore, the slope design method built into the computer is used to simulate the design of the inclined surface, including:

[0013] S101, based on Baidu Wenku, obtained the adult fatigue assessment scale FAS, and used the principal component analysis method to obtain 10 scores from easy to extreme fatigue for the 10 items of the fatigue assessment scale, ranging from 0 to 10 points, the smaller the score, the easier it is;

[0014] S102, simulating the slope of the inclined surface from 0° to 90° at multiple angles, and screening out a slope angle of 15° to 45° in combination with the score results of the adult fatigue assessment scale;

[0015] S103, based on the screened 15°-45° slope angle, 3D print the physical model of the glue extrusion rack, based on the application effect of different groups of people, obtain the fatigue score for optimization, and determine the optimal slope angle suitable for the actual scene.

[0016] In step S103, the fatigue score is obtained for optimization, and the optimal slope angle suitable for the actual scene is determined, including:

[0017] Step 1, reading the exhalation frequency wave data sent by the fatigue assessment scale sending module, and smoothing and filtering the read data, extracting the R wave peak, and calculating the exhalation frequency;

[0018] Step 2: Analyze the tangible wave data returned by the breathing frequency detection module, use adaptive wavelet transform to perform filtering, extract α wave, β wave, θ wave, and δ wave, and judge the user's working state or fatigue degree on the inclined surface with different slopes based on the energy proportion of α wave, β wave, θ wave, and δ wave;

[0019] Step three, when the slope of the inclined surface detects mild breathing, the designed slope threshold of the inclined surface is automatically played; when the optimal designed slope threshold of the inclined surface is reached, the designed slope threshold of the inclined surface will automatically display the optimal threshold; when severe fatigue is detected in the fatigue state, an alarm is issued to remind the user to stop the operation.

[0020] In step 1, the read data is smoothed and filtered, the R wave peak is extracted, and the breathing frequency is calculated, including:

[0021] (1) Smoothing filtering: The original signal is convolved with the smoothing filter sequence. The original sequence is F[n] and the other sequence is D[n]. The expression is:

[0022]

[0023] Where N is the sequence length;

[0024] The sequence after filtering is:

[0025] E[n]=F[n]*D[n]

[0026] (2) Extract the R wave peak and calculate the respiratory rate:

[0027] The peak of the R wave is extracted by using numerical calculation and the built-in function of the scientific language. After collecting the peak position, the last four peaks are taken and the average distance between two adjacent peaks is calculated by the difference method. The positions of the four peaks are f n 、f n+1 、f n+2 、f n+3 , then the average peak interval is:

[0028]

[0029] Since 18 data are transmitted every second, the time interval between the peaks is:

[0030]

[0031] The breathing frequency is in minutes. The breathing frequency at the current moment is:

[0032] times / min.

[0033] In step 2, the user's working state or fatigue level on the inclined surface with different slopes is judged based on the energy proportion of α wave, β wave, θ wave and δ wave, including:

[0034] (1) Data analysis: The format of each packet sent back by the breathing frequency detection module is:

[0035] QQQQ 04 80 02 KKKKKK

[0036] The original data converts the hexadecimal number consisting of the four characters KKKK into the corresponding decimal number; before converting to the original data, first check the checksum, and the check method of the checksum is:

[0037] Calculate hexadecimal:

[0038] sum=80+02+KK+KK

[0039] Convert sum into a binary number, invert each bit and take the last eight bits, compare it with the binary number of the last KK, if they are the same, keep the packet, otherwise discard it;

[0040] (2) Filtering using adaptive wavelet transform;

[0041] (3) Use four low-pass filters with different frequency bands to extract the corresponding α, β, θ, and δ waves;

[0042] (4) Status determination:

[0043] 1) Use direct method to estimate the power spectrum of the signal:

[0044]

[0045] Among them, K(e jω ) is the Fourier transform of the node, N is the sequence length, U(e jω ) is the power spectrum of the point;

[0046] 2) Calculate the proportion of α wave, β wave, θ wave and δ wave in the power spectrum respectively:

[0047]

[0048] Among them, ω1 and ω2 are the upper and lower limits of the frequency band of α wave, ω0 and ω s are the upper and lower limits of the overall frequency band;

[0049] 3) Definition:

[0050]

[0051] Using Δ f 1. Determine the fatigue state of the subject, which is divided into three states: extremely light, mild fatigue, and severe fatigue, and set corresponding thresholds to determine the different fatigue states of the subject;

[0052] definition:

[0053]

[0054] Using Δ f 2. Determine the appropriate state of the subject on the inclined surface, set four states: very light, light breathing, moderate breathing and heavy breathing, and set corresponding thresholds to determine the different appropriate states of the subject on the inclined surface;

[0055] The tangible wave data processing includes:

[0056] (1) Using the breathing frequency detection module to collect tangible wave signals, and sending the tangible wave data to the computer computing system via Bluetooth;

[0057] (2) Extracting tangible waves from the tangible wave acquisition serial port through numerical calculation and scientific transformation language, and performing wavelet transform on the tangible waves to remove noise;

[0058] (3) After denoising, the tangible wave is subjected to Fourier transform to obtain the frequency spectrum and power spectrum. The waveforms of α wave, β wave, θ wave, and δ wave are obtained through low-pass filter, and the energy proportion of each waveform is calculated. The energy ratio of (α+θ) / β is used to judge the degree of fatigue, and the energy ratio of δ / β is used to judge the appropriate state of the slope of the inclined surface;

[0059] The breathing frequency signal processing comprises:

[0060] 1) Using the exhalation photoelectric detector to collect the exhalation frequency wave, the analog signal is converted into a digital signal through the microcontroller chip development board and sent to the computer computing center through the fatigue assessment scale sending module;

[0061] 2) Extract the signal from the exhalation frequency wave acquisition serial port through numerical calculation and scientific language, smooth and filter the acquired signal, and extract the local maximum value to calculate the real-time exhalation frequency.

[0062] Another object of the present invention is to provide a FIPG glue extrusion jig, which is applied to a glue extrusion method for a glue extrusion bag. The jig comprises: a glue extrusion frame, which is a right-angle trapezoidal metal frame, and the inclined surface of the right-angle trapezoidal metal frame is a metal smooth surface, which is welded to an upper metal tube and a lower metal tube of the right-angle trapezoidal metal frame by welding.

[0063] Furthermore, the FIPG glue squeezing jig also includes a glue squeezing rod for squeezing glue.

[0064] Combined with all the above technical solutions, the beneficial effects of the present invention are as follows: in order to improve the utilization rate of FIPG glue and avoid too much residual glue remaining in the two bottom corners of the plastic bag, the present invention improves the glue in the bottom glue of the plastic bag, and squeezes the glue liquid to the middle by hand, which is convenient for the glue suction head to extract and improves the working state. A special jig is used to eliminate the shortcomings of the prior art, and the jig shape and design style are developed. Compared with the prior art, the present invention is applicable to single-liquid and double-liquid glue of FIPG in plastic bags. It is designed and manufactured according to ergonomics (working posture), and the slope is suitable for facilitating actual operations and improving the time for squeezing and changing glue; the jig shape and style designed by the present invention are for 18kg FIPG in plastic bags; the hand squeezing before the invention is changed to the current use of jig squeezing, which improves the working efficiency and avoids a large amount of residual glue liquid. This jig is created from scratch, which solves the waste of residual glue liquid caused by incomplete hand squeezing, and provides support for improving the utilization rate of FIPG. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings herein are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the description, serve to explain the principles of the present disclosure;

[0066] Figure 1 Schematic diagram of a glue extrusion frame of a FIPG glue extrusion jig provided in an embodiment of the present invention;

[0067] Figure 2 is a schematic diagram of a glue squeezing rod provided in an embodiment of the present invention;

[0068] Figure 3 is a flow chart of a method for squeezing glue from a squeeze bag provided by an embodiment of the present invention;

[0069] Figure 4The embodiment of the present invention provides a flowchart of simulating and designing an inclined surface by using a slope design method built into a computer;

[0070] In the figure: 1. Glue squeezing rack; 2. Inclined surface; 3. Upper metal tube; 4. Lower metal tube; 5. Glue squeezing rod. DETAILED DESCRIPTION

[0071] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific implementation disclosed below.

[0072] Embodiment 1, Figure 1 As shown, the FIPG glue extrusion jig provided by the embodiment of the present invention includes: a glue extrusion frame 1, the glue extrusion frame 1 is a right-angle trapezoidal metal frame, the inclined surface 2 of the right-angle trapezoidal metal frame is a metal smooth surface, and is welded to the upper metal tube 3 and the lower metal tube 4 of the right-angle trapezoidal metal frame by welding;

[0073] The right-angle trapezoidal metal frame is made of stainless steel or other metal composite materials;

[0074] The inclined surface 2 is made of stainless steel or other metal composite material.

[0075] The FIPG glue squeezing jig also includes a glue squeezing rod 5 for squeezing glue. Figure 2 shown.

[0076] Embodiment 1, as Figure 3 As shown, an embodiment of the present invention provides a method for squeezing glue from a squeeze bag, comprising:

[0077] S1, take out the glue extrusion frame 1 of the FIPG glue extrusion fixture;

[0078] S2, placing the unsealed bottom corner of the extruded plastic bag to be processed on the inclined surface 2 of the extruded plastic rack 1;

[0079] The distance between the bottom corner and the inclined surface 2 is about 1 cm; the distance between the widest edge lines on both sides of the squeezed plastic bag to be processed and the left and right sides of the inclined surface 2 is about 1 cm;

[0080] S3, using adhesive tape to adhere and fix the bottom corner of the squeezed plastic bag to be processed;

[0081] S4, take out the glue squeezing stick 5, squeeze the glue liquid at the bottom corner to the middle, confirm the glue squeezing state, and then use the glue suction head to extract the glue liquid.

[0082] Exemplarily, the glue liquid remaining in the other bottom corner is squeezed to the middle part by the above steps S1 to S4, and the glue squeezing state is confirmed, and the glue liquid is extracted by a glue suction head at a later time.

[0083] For example, Figure 4 As shown, the slope design method built into the computer to simulate the design of the inclined surface (2) includes:

[0084] S101, based on the adult fatigue assessment scale (FAS Fatigue Assessment Scale) obtained from Baidu Library, the 10 items of the fatigue assessment scale were analyzed by principal component analysis to obtain 10 scores ranging from easy to extreme fatigue, from 0 to 10 points, the smaller the score, the easier it is;

[0085] S102, simulating the slope of the inclined surface 2 from 0° to 90° at multiple angles, and screening out a slope angle of 15° to 45° in combination with the score result of the adult fatigue assessment scale;

[0086] S103, based on the screened slope angle of 15°-45°, a physical model of the glue extrusion frame 1 is 3D printed, and based on the application effects of different groups of people, a fatigue score is obtained, and further optimization is performed to determine the optimal slope angle suitable for the actual scene.

[0087] Exemplarily, the step S103, based on the screened slope angles of 15°-45°, 3D printing a physical model of the glue extrusion frame (1), obtaining fatigue scores based on the application effects of different groups of people, and further optimizing to obtain the preferred slope angle suitable for the actual scene includes:

[0088] Step 1, reading the exhalation frequency wave data sent by the fatigue assessment scale sending module, and smoothing and filtering the read data, extracting the R wave peak, and calculating the exhalation frequency;

[0089] Step 2: Analyze the tangible wave data returned by the breathing frequency detection module, use adaptive wavelet transform to perform filtering, extract α wave, β wave, θ wave, and δ wave, and judge the user's working state or fatigue degree on the inclined surface with different slopes based on the energy proportion of α wave, β wave, θ wave, and δ wave;

[0090] Step three, when light breathing is detected in the suitable state of the inclined surface slope, the inclined surface design slope threshold is automatically played; when the optimal inclined surface design slope threshold is reached, the inclined surface design slope threshold will automatically display the optimal threshold; when severe fatigue is detected in the fatigue state, an alarm is issued to remind the user to stop the operation.

[0091] Exemplarily, in step 1, smoothing and filtering the read data, extracting the R wave peak, and calculating the breathing frequency include:

[0092] (1) Smoothing filtering: The original signal is convolved with the smoothing filter sequence. The original sequence is F[n] and the other sequence is D[n]. The expression is:

[0093]

[0094] Where N is the sequence length;

[0095] The sequence after filtering is:

[0096] E[n]=F[n]*D[n]

[0097] (2) Extract the R wave peak and calculate the respiratory rate:

[0098] The peak of the R wave is extracted by using numerical calculation and the built-in function of the scientific language. After collecting the peak position, the last four peaks are taken and the average distance between two adjacent peaks is calculated by the difference method. The positions of the four peaks are f n 、f n+1 、f n+2 、f n+3 , then the average peak interval is:

[0099]

[0100] Since 18 data are transmitted every second, the time interval between the peaks is:

[0101]

[0102] The breathing frequency is in minutes. The breathing frequency at the current moment is:

[0103] times / min.

[0104] Exemplarily, in step 2, judging the user's working state or fatigue level on the inclined surface with different slopes based on the energy proportion of α wave, β wave, θ wave, and δ wave includes:

[0105] (1) Data analysis: The format of each packet sent back by the breathing frequency detection module is:

[0106] QQQQ 04 80 02 KKKKKK

[0107] The original data converts the hexadecimal number consisting of the four characters KKKK into the corresponding decimal number; before converting to the original data, first check the checksum, and the check method of the checksum is:

[0108] Calculate hexadecimal:

[0109] sum=80+02+KK+KK

[0110] Convert sum into a binary number, invert each bit and take the last eight bits, compare it with the binary number of the last KK, if they are the same, keep the packet, otherwise discard it;

[0111] (2) Filtering using adaptive wavelet transform;

[0112] (3) Use four low-pass filters with different frequency bands to extract the corresponding α, β, θ, and δ waves;

[0113] (4) Status determination:

[0114] 1) Use direct method to estimate the power spectrum of the signal:

[0115]

[0116] Among them, K(e jω ) is the Fourier transform of the node, N is the sequence length, U(e jω ) is the power spectrum of the point;

[0117] 2) Calculate the proportion of α wave, β wave, θ wave and δ wave in the power spectrum respectively:

[0118]

[0119] Among them, ω1 and ω2 are the upper and lower limits of the frequency band of α wave, ω0 and ω s are the upper and lower limits of the overall frequency band;

[0120] 3) Definition:

[0121]

[0122] Using Δ f 1. Determine the fatigue state of the subject, which is divided into three states: extremely light, mild fatigue, and severe fatigue, and set corresponding thresholds to determine the different fatigue states of the subject;

[0123] definition:

[0124]

[0125] Using Δ f 2. Determine the appropriate state of the subject on the inclined surface, set four states: very light, light breathing, moderate breathing and heavy breathing, and set corresponding thresholds to determine the different appropriate states of the subject on the inclined surface;

[0126] The tangible wave data processing includes:

[0127] (1) Using the breathing frequency detection module to collect tangible wave signals, and sending the tangible wave data to the computer computing system via Bluetooth;

[0128] (2) Extracting tangible waves from the tangible wave acquisition serial port through numerical calculation and scientific transformation language, and performing wavelet transform on the tangible waves to remove noise;

[0129] (3) After denoising, the tangible wave is subjected to Fourier transform to obtain the frequency spectrum and power spectrum. The waveforms of α wave, β wave, θ wave, and δ wave are obtained through low-pass filter, and the energy proportion of each waveform is calculated. The energy ratio of (α+θ) / β is used to judge the degree of fatigue, and the energy ratio of δ / β is used to judge the appropriate state of the slope of the inclined surface;

[0130] The breathing frequency signal processing comprises:

[0131] 1) Using the exhalation photoelectric detector to collect the exhalation frequency wave, the analog signal is converted into a digital signal through the microcontroller chip development board and sent to the computer computing center through the fatigue assessment scale sending module;

[0132] 2) Extract the signal from the exhalation frequency wave acquisition serial port through numerical calculation and scientific language, smooth and filter the acquired signal, and extract the local maximum value to calculate the real-time exhalation frequency.

[0133] The present invention also provides a FIPG glue squeezing jig, which is applied to a glue squeezing method for a glue squeezing bag, and the jig comprises: a glue squeezing frame 1, wherein the glue squeezing frame 1 is a right-angle trapezoidal metal frame, and the inclined surface 2 of the right-angle trapezoidal metal frame is a metal smooth surface, which is welded to an upper metal tube 3 and a lower metal tube 4 of the right-angle trapezoidal metal frame by welding. The FIPG glue squeezing jig also comprises a glue squeezing rod 5 for squeezing glue.

[0134] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0135] Since the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present invention, their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0136] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment.

[0137] An embodiment of the present invention further provides a computer device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps in any of the above-mentioned method embodiments when executing the computer program.

[0138] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0139] An embodiment of the present invention further provides an information data processing terminal, which, when executed on an electronic device, provides a user input interface to implement the steps in the above method embodiments. The information data processing terminal is not limited to mobile phones, computers, and switches.

[0140] An embodiment of the present invention further provides a server, which is used to provide a user input interface to implement the steps in the above method embodiments when executed on an electronic device.

[0141] An embodiment of the present invention provides a computer program product. When the computer program product runs on an electronic device, the electronic device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0142] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0143] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principles of the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for squeezing glue from a plastic squeeze bag, characterized in that: The method includes: S1, take out the glue extrusion frame (1) of the FIPG glue extrusion fixture; S2, placing the unsealed bottom corner of the extruded plastic bag to be processed on the inclined surface (2) of the extruded plastic rack (1); S3, using adhesive tape to adhere and fix the bottom corner of the squeezed plastic bag to be processed; S4, take out the glue squeezing stick (5), squeeze the glue liquid at the bottom corner to the middle, confirm the glue squeezing state, and then use the glue suction head to extract the glue liquid.

2. The method for squeezing glue into a squeeze bag according to claim 1, characterized in that: In step S2, a bottom corner of the extruded plastic bag to be processed is a distance away from the inclined surface (2); the widest edge lines on both sides of the extruded plastic bag to be processed are a distance away from the left and right sides of the inclined surface (2).

3. The method for squeezing glue into a squeeze bag according to claim 1, characterized in that: The remaining glue liquid at the other bottom corner of the squeezed glue bag to be processed is squeezed to the middle part by using the above steps S1 to S4, and the squeezed glue state is confirmed, and then the glue liquid is extracted by using a glue suction head.

4. The method for squeezing glue into a squeeze bag according to claim 1, characterized in that: In step S2, the slope of the inclined surface (2) is simulated and designed by a slope design method built into the computer, and the slope is visually exported to produce the glue extrusion frame (1).

5. The method for squeezing glue from a squeeze bag according to claim 4, characterized in that: The slope design method built into the computer is used to simulate the design of the inclined surface (2), including: S101, based on Baidu Wenku, obtained the adult fatigue assessment scale FAS, and used the principal component analysis method to obtain 10 scores from easy to extreme fatigue for the 10 items of the fatigue assessment scale, ranging from 0 to 10 points, the smaller the score, the easier it is; S102, simulating the slope of the inclined surface (2) at multiple angles from 0° to 90°, and screening out a slope angle of 15° to 45° in combination with the score results of an adult fatigue assessment scale; S103, based on the screened slope angle of 15°-45°, a physical model of the glue extrusion frame (1) is 3D printed, and based on the application effects of different groups of people, fatigue scores are obtained for optimization to determine the optimal slope angle suitable for the actual scene.

6. The method for squeezing glue into a squeeze bag according to claim 4, characterized in that: In step S103, the fatigue score is obtained for optimization, and the optimal slope angle suitable for the actual scene is determined, including: Step 1, reading the exhalation frequency wave data sent by the fatigue assessment scale sending module, and smoothing and filtering the read data, extracting the R wave peak, and calculating the exhalation frequency; Step 2: Analyze the tangible wave data returned by the breathing frequency detection module, use adaptive wavelet transform to perform filtering, extract α wave, β wave, θ wave, and δ wave, and judge the user's working state or fatigue degree on the inclined surface with different slopes based on the energy proportion of α wave, β wave, θ wave, and δ wave; Step three, when the slope of the inclined surface detects mild breathing, the designed slope threshold of the inclined surface is automatically played; when the optimal designed slope threshold of the inclined surface is reached, the designed slope threshold of the inclined surface will automatically display the optimal threshold; when severe fatigue is detected in the fatigue state, an alarm is issued to remind the user to stop the operation.

7. The method for squeezing glue into a squeeze bag according to claim 6, characterized in that: In step 1, the read data is smoothed and filtered, the R wave peak is extracted, and the breathing frequency is calculated, including: (1) Smoothing filtering: The original signal is convolved with the smoothing filter sequence. The original sequence is F[n] and the other sequence is D[n]. The expression is: Where N is the sequence length; The sequence after filtering is: E[n]=F[n]*D[n] (2) Extract the R wave peak and calculate the respiratory rate: The peak of the R wave is extracted by using numerical calculation and the built-in function of the scientific language. After collecting the peak position, the last four peaks are taken and the average distance between two adjacent peaks is calculated by the difference method. The positions of the four peaks are f n 、f n+1 、f n+2 、f n+3 , then the average peak interval is: Since 18 data are transmitted every second, the time interval between the peaks is: The breathing frequency is in minutes. The breathing frequency at the current moment is:

8. The method for squeezing glue into a glue squeeze bag according to claim 6, characterized in that: In step 2, the user's working state or fatigue level on the inclined surface with different slopes is judged based on the energy proportion of α wave, β wave, θ wave and δ wave, including: (1) Data analysis: The format of each packet sent back by the breathing frequency detection module is: QQQQ 04 80 02 KKKKKK The original data converts the hexadecimal number consisting of the four characters KKKK into the corresponding decimal number; before converting to the original data, first check the checksum, and the check method of the checksum is: Calculate hexadecimal: sum=80+02+KK+KK Convert sum into a binary number, invert each bit and take the last eight bits, compare it with the binary number of the last KK, if they are the same, keep the packet, otherwise discard it; (2) Filtering using adaptive wavelet transform; (3) Use four low-pass filters with different frequency bands to extract the corresponding α, β, θ, and δ waves; (4) Status determination: 1) Use direct method to estimate the power spectrum of the signal: Among them, K(e jω ) is the Fourier transform of the node, N is the sequence length, U(e jω ) is the power spectrum of the point; 2) Calculate the proportion of α wave, β wave, θ wave and δ wave in the power spectrum respectively: Among them, ω1 and ω2 are the upper and lower limits of the frequency band of α wave, ω0 and ω s are the upper and lower limits of the overall frequency band; 3) Definition: Using Δ f 1. Determine the fatigue state of the subject, which is divided into three states: extremely light, mild fatigue, and severe fatigue, and set corresponding thresholds to determine the different fatigue states of the subject; definition: Using Δ f 2. Determine the appropriate state of the subject on the inclined surface, set four states: very light, light breathing, moderate breathing and heavy breathing, and set corresponding thresholds to determine the different appropriate states of the subject on the inclined surface; The tangible wave data processing includes: (1) Using the breathing frequency detection module to collect tangible wave signals, and sending the tangible wave data to the computer computing system via Bluetooth; (2) Extracting tangible waves from the tangible wave acquisition serial port through numerical calculation and scientific transformation language, and performing wavelet transform on the tangible waves to remove noise; (3) After denoising, the tangible wave is subjected to Fourier transform to obtain the frequency spectrum and power spectrum. The waveforms of α wave, β wave, θ wave, and δ wave are obtained through low-pass filter, and the energy proportion of each waveform is calculated. The energy ratio of (α+θ) / β is used to judge the degree of fatigue, and the energy ratio of δ / β is used to judge the appropriate state of the slope of the inclined surface; The breathing frequency signal processing comprises: 1) Using the exhalation photoelectric detector to collect the exhalation frequency wave, the analog signal is converted into a digital signal through the microcontroller chip development board and sent to the computer computing center through the fatigue assessment scale sending module; 2) Extract the signal from the exhalation frequency wave acquisition serial port through numerical calculation and scientific language, smooth and filter the acquired signal, and extract the local maximum value to calculate the real-time exhalation frequency.

9. A FIPG glue squeezing jig, characterized in that: The method for squeezing glue into a glue bag according to any one of claims 1 to 8 comprises: a glue squeezing frame (1), wherein the glue squeezing frame (1) is a right-angle trapezoidal metal frame, wherein the inclined surface (2) of the right-angle trapezoidal metal frame is a smooth metal surface, and is welded to an upper metal tube (3) and a lower metal tube (4) of the right-angle trapezoidal metal frame by welding.

10. The FIPG glue squeezing jig according to claim 9, characterized in that: The FIPG glue squeezing jig also includes a glue squeezing rod (5) for squeezing glue.

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