A winding online weighing sampling system and method

Abstract

The present invention relates to the technical field of online weighing methods, and specifically discloses a winding online weighing sampling system and method, which improves the accuracy of weighing sampling by optimizing the winding stability and uniformity. The system of the present invention includes: a calibration unit, which is used to regularly calibrate the single-point weighing sensor configured by the winding machine according to the initial sampling frequency using an industrial computer; a winding acquisition unit, which is used to collect the winding state parameters of each preset point on the winding machine in real time; the winding stability is judged by calculating the real-time winding state parameters, and further accuracy judgment is performed; a weighing analysis unit, which is used to weigh and analyze the winding at each preset point to obtain the weight change value, and judge the winding stability based on the weight change value and the real-time winding state parameter; a sampling control unit, which is used to perform winding sampling and adjust the initial sampling frequency according to the winding stability judgment result; and an output unit, which is used to output the weighing analysis result.

Description

Technical Field

[0001] The invention relates to the technical field of online weighing methods, and in particular to a winding online weighing sampling system and method. Background Art

[0002] With the development of the Internet of Things, big data and artificial intelligence technology, online weighing technology is developing towards high precision, intelligence, miniaturization and multi-functionality, providing strong support for the automation and digital transformation of various industries. Specifically, the use of weighing sensors in the winding process provides precise control for winding equipment by monitoring and feedback of winding pressure, winding stability, etc., thereby ensuring winding quality and efficiency.

[0003] In order to obtain the winding weighing sampling information in real time, the existing online winding weighing sampling system usually electrically connects the weighing sensor and the winding control equipment to realize real-time monitoring of the winding status, so as to achieve the purpose of obtaining weighing sampling data by calibrating and adjusting the winding tension; however, it still cannot guarantee the accurate acquisition of the winding control status information of the winding machine from the acceleration of the winding to the set speed stage and the set speed stable winding stage, which affects the winding uniformity and stability.

[0004] Moreover, as the weighing test continues, there is still a lack of timely adjustment of the winding state, resulting in the need to stop the winding and rework for adjustment when the winding weighing fails, which consumes time and manpower costs, affecting the accuracy of weighing sampling. Summary of the invention

[0005] The purpose of the present invention is to provide a winding online weighing sampling system and method to solve the following technical problems: How to optimize winding stability and uniformity to improve gravimetric sampling accuracy.

[0006] The purpose of the present invention can be achieved by the following technical solutions: A winding online weighing sampling system, comprising: A calibration unit, used to periodically calibrate the single-point weighing sensor configured for the winding machine according to the initial sampling frequency using an industrial computer; The winding collection unit is used to collect the winding state parameters of each preset point on the winding machine in real time; A weighing and analysis unit is used to weigh and analyze the winding at each preset point to obtain a weight change value, and to determine the winding stability based on the weight change value and real-time winding state parameters; A sampling control unit, used for sampling the winding and adjusting the initial sampling frequency according to the winding stability judgment result; Output unit, used to output weighing analysis results.

[0007] Preferably, the winding collection unit comprises: By formula Calculate the winding state parameters ;in, Collect initial time for winding; The end time of winding collection; It is the winding collection time period; is the total number of preset points; ∈ ; For the The winding spacing of each point, It is the standard winding pitch; is the preset winding pitch deviation value; For the The point position affects the function; For the Real-time speed of each point.

[0008] Preferably, the system further comprises a pressure change monitoring unit, the pressure change monitoring unit comprising: Get Pressure variation parameters of the winding coil within a time period: By formula Calculate the first pressure change parameter ;in, The initial time when the winding starts to accelerate; The end time of winding to the set speed; It is the time period for the winding to accelerate from rest to the set speed; For the The pressure value of the winding coil at each point; for In the time period The maximum pressure of the winding coil at each point; for In the time period The maximum value of the preset pressure standard curve of the winding coil at each point; for In the time period The average pressure of the winding coil at each point; for In the time period The average value of the preset pressure standard curve of the winding coil at each point; Get Pressure variation parameters of the winding coil within a time period: By formula Calculate the second pressure change parameter ;in, The starting time for winding to the set speed; The end time for winding to the specified number of turns at the set speed; for In the time period The average pressure of each point; for In the time period The standard pressure value of each point.

[0009] Preferably, the weighing and analyzing unit comprises: By formula Calculate the first weight change value ; By formula Calculate the second weight change value ; in, is the preset function; is the first correction coefficient; is the second correction factor; for The weight of the winding coil accelerated to the set speed within the time period; Start with an initial weight for winding; for The weight at the end of winding at the set speed within the time period.

[0010] Preferably, the weighing and analyzing unit further comprises: By formula Get winding stability state coefficient ; is the first preset weight coefficient, is the second preset weight coefficient, and > >0; The winding stability state factor The threshold range of the winding stability state coefficient is To compare: like < , then the winding stability is normal; like ≤ ≤ , then it is judged that there is an abnormal risk in winding stability; like > , the winding stability is judged to be abnormal and a warning signal is generated.

[0011] Preferably, the sampling control unit is used to perform winding sampling and adjust the sampling frequency according to the winding stability, specifically including: like < , winding sampling is carried out; like ≤ ≤ , then adjust the sampling frequency: No. The sampling frequency after the point adjustment ; in, For the Initial sampling frequency of each point; is the third correction factor.

[0012] Preferably, the sampling control unit further comprises a device for issuing a clipping signal according to the size of the winding stability state coefficient.

[0013] Preferably, the winding stability state coefficient With setting threshold To compare: When the winding stability state coefficient Reaching the set threshold When , a trimming signal is sent to the current point and generated.

[0014] A wire winding online weighing sampling method, using a wire winding online weighing sampling system to implement a wire winding weighing sampling process, comprising: S1. The calibration unit uses an industrial computer to regularly calibrate the single-point weighing sensor configured in the winding machine according to the initial sampling frequency; S2, the winding collection unit collects the winding state parameters of each preset point on the winding machine in real time; S3, the weighing and analyzing unit weighs and analyzes the winding at each preset point to obtain a weight change value, and determines the winding stability based on the weight change value and the real-time winding state parameter; S4, the sampling control unit performs winding sampling according to the winding stability judgment result and adjusts the initial sampling frequency; S5. The output unit outputs the weighing analysis result.

[0015] Beneficial effects of the present invention: (1) The present invention realizes real-time acquisition of winding state parameters by setting a winding acquisition unit, further analyzes the weight change values ​​and pressure change parameters obtained by weighing analysis at different stages by setting a weighing analysis unit and a pressure change monitoring unit, and uses the weight change values ​​to match the winding states at different stages, obtains real-time winding state parameters by calculation to judge the winding stability, and further performs accuracy judgment, thereby refining the winding process and optimizing the accuracy of the sampling weighing analysis results.

[0016] (2) The present invention sets a sampling control unit, realizes the process of winding sampling by judging the result of winding stability, and adjusts the sampling frequency according to the overall result of winding stability, so as to ensure the further refinement of the accuracy of winding weighing result, and selects winding sampling according to the winding stability judgment result and adjusts the initial sampling frequency according to the stability judgment result; performs winding sampling and adjusts the sampling frequency according to the winding stability, so as to ensure that the current adjustment of weighing sampling frequency is closer to the demand of the real result of online weighing analysis, so as to reduce the amount of samples to be sampled and the time of sample acquisition, so as to optimize the winding stability and uniformity and improve the accuracy of weighing sampling.

[0017] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 This is a module diagram of a winding online weighing sampling system of the present invention; Figure 2 This is a step diagram of a winding online weighing sampling method of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention is a winding online weighing sampling system, comprising: A calibration unit, used to periodically calibrate the single-point weighing sensor configured for the winding machine according to the initial sampling frequency using an industrial computer; The winding collection unit is used to collect the winding state parameters of each preset point on the winding machine in real time; A weighing and analysis unit is used to weigh and analyze the winding at each preset point to obtain a weight change value, and to determine the winding stability based on the weight change value and real-time winding state parameters; A sampling control unit, used for sampling the winding and adjusting the initial sampling frequency according to the winding stability judgment result; Output unit, used to output weighing analysis results.

[0022] In the above technical scheme, the process of optimizing the accuracy of weighing and sampling is realized through five modules of a winding online weighing and sampling system; specifically, the weighing calibration process is realized by setting a calibration unit, and the calibration period is set according to the initial sampling frequency, and the initial sampling frequency is specifically set according to the historically set winding speed and winding weight, and the single-point weighing sensor configured on the winding machine is regularly calibrated according to the initial sampling frequency by an industrial computer; and by setting the single-point weighing sensor, high-precision weight measurement can be achieved, and the measurement range is wide, which is particularly suitable for dynamic weighing processes, and the single-point weighing sensor is small in size and easy to install, and is suitable for winding machines. The single-point weighing sensor is mainly composed of a load receiver, a spring, a strain gauge and an electronic circuit; the electrical signal is generated by the tiny deformation of the strain gauge, and is converted into a digital output signal after amplification and processing, thereby realizing high-precision weight measurement. By setting up a winding acquisition unit, real-time acquisition of winding state parameters is achieved. The strain sensing point of the sensor at the contact coil on the outer side of the winding shaft of the winding machine is pre-set as a preset point, and the set strain sensing point is progressively adjusted in accuracy according to the increase in the number of turns of the coil; the winding state parameters of each preset point on the winding machine are collected in real time to further judge the winding stability.

[0023] The present invention further analyzes the weight change value obtained by the weighing analysis by setting a weighing analysis unit, and matches the state of different winding stages by using the weight change value, and judges the winding stability by the winding state parameters obtained in real time. Specifically, the winding at each preset point is weighed and analyzed to obtain the weight change value, and the winding stability is judged based on the weight change value and the real-time winding state parameters; a sampling control unit is also set to implement the winding sampling process by judging the result of the winding stability and adjust the sampling frequency according to the overall result of the winding stability to ensure the further refinement of the accuracy of the winding weighing result, and winding sampling is selected according to the winding stability judgment result and the initial sampling frequency is adjusted according to the stability judgment result.

[0024] The present invention also outputs the results of weighing analysis by setting an output unit. The output results include the weighing analysis results under the initial sampling frequency and the weighing analysis results after the sampling frequency is adjusted. The output results are selected according to the real-time analysis process to achieve timely output of optimization results of winding stability and uniformity and improve the accuracy of weighing sampling.

[0025] As an embodiment of the present invention, the winding collection unit includes: By formula Calculate the winding state parameters ;in, Collect initial time for winding; The end time of winding collection; It is the winding collection time period; is the total number of preset points; ∈ ; For the The winding spacing of each point, It is the standard winding pitch; is the preset winding pitch deviation value; For the The point position affects the function; For the Real-time speed of each point.

[0026] In the above technical solution, the winding acquisition unit acquires the winding state parameters of the preset points to achieve real-time acquisition of winding data, specifically through the formula Calculate the winding state parameters ; According to the winding state parameters The size of the wiring process is obtained. After the specific wiring path is determined, the The winding state is judged in detail by the real-time situation of the change of the winding spacing affected by the arrangement of the wiring angle at each point position; among them, the current position point is wound according to the preset wiring path. The greater the winding speed during the winding process, the more obvious the effect of the wiring spacing at the current position on the influence of the wiring angle. According to the real-time change speed of the winding and the influence function The cumulative changes of all points of the product of can reflect the winding changes within the time range of the winding acceleration process, which is expressed by the winding state change parameters. The size of has a greater impact on the wiring spacing. The greater the speed and the larger the spacing, the larger the current winding state parameter, and the more significant the impact on the safety of the overall winding process.

[0027] It needs to be explained that the real-time speed It is determined according to the winding speed set by the motor of the winding machine's main shaft; and the setting in the acceleration time period also refers to the length of the time period from the spindle's static state to the acceleration to the set speed; and after reaching the set speed, the winding is carried out at a constant speed at the current set speed; standard winding spacing It is a standard value determined based on the historical data of process selection; the preset winding pitch deviation value The training network of the winding simulation is used for real-time analysis and is preset in advance based on the historical database, which will not be described in detail here; the influence function It is obtained based on the model parameter selection. The trained machine model is trained according to the current point, such as the neural network model of the input wiring spacing distance. After training, the most influential parameters are identified and output according to the current data points.

[0028] As an embodiment of the present invention, the system further includes a pressure change monitoring unit, and the pressure change monitoring unit includes: Get Pressure variation parameters of the winding coil within a time period: By formula Calculate the first pressure change parameter ;in, The initial time when the winding starts to accelerate; The end time of winding to the set speed; It is the time period for the winding to accelerate from rest to the set speed; For the The pressure value of the winding coil at each point; for In the time period The maximum pressure of the winding coil at each point; for In the time period The maximum value of the preset pressure standard curve of the winding coil at each point; for In the time period The average pressure of the winding coil at each point; for In the time period The average value of the preset pressure standard curve of the winding coil at each point; Get Pressure variation parameters of the winding coil within a time period: By formula Calculate the second pressure change parameter ;in, The starting time for winding to the set speed; The end time for winding to the specified number of turns at the set speed; for In the time period The average pressure of each point; for In the time period The standard pressure value of each point.

[0029] In the above technical solution, the pressure change monitoring unit is set to realize the process of analyzing the pressure change in different time periods. Specifically, the weight change in the weighing analysis process is obtained by calculating the pressure change parameters in different time periods, and then the winding stability is judged. Specifically, the formula The first stage of calculation is The first pressure change parameter within the time period ; Through the formula Calculate the next stage, Second pressure variation parameter within a time period ; and according to the first pressure change parameter and the second pressure variation parameter The pressure in the acquisition process is calculated by a pressure sensor; specifically, by comparing the maximum and average values ​​of the pressure values ​​obtained in real time with the standard maximum and standard average values ​​in the standard change curve, it is determined that the greater the deviation from the standard value, the greater the first pressure change parameter; and when the set speed is reached for winding, the pressure change is a uniformly increasing process, so the second pressure change parameter is obtained according to the average pressure change at this point, and the greater the average pressure change, the greater the second pressure change parameter.

[0030] As an embodiment of the present invention, the weighing and analyzing unit comprises: By formula Calculate the first weight change value ; By formula Calculate the second weight change value ; in, is the preset function; is the first correction coefficient; is the second correction factor; for The weight of the winding coil accelerated to the set speed within the time period; Start with an initial weight for winding; for The weight at the end of winding at the set speed within the time period.

[0031] In the above technical solution, the weight change values ​​at different stages are obtained by the weighing analysis unit, and the weight change values ​​can be used as the basis for the stability of the winding process. Calculate the first weight change value , by taking the first stage, i.e. Weight gain during time period The weight change value of this stage is the function of the product value of the first pressure change parameter of this stage , based on the weight at the beginning of winding as the initial weight , the weight determined after the first stage time reaches the set speed is ; and this weighing process is obtained through the induction sheet of the weighing sensor; then for the second stage of winding weighing at a set speed, by Weight gain during time period The function of the product value of the second pressure change parameter is used as the weight change value of this stage ; According to the weight determined to reach the set speed as the initial value; and continue winding at the set speed until the set The weight at the end of winding within the time period is taken as It should be noted that the first correction coefficient , the second correction coefficient The error is corrected and simulated according to the reasonable range of error at different stages of the weighing process; preset function It is a preset performance envelope function that ensures that the system state (such as error) converges within a predetermined range.

[0032] As an embodiment of the present invention, the weighing and analyzing unit further includes: The weighing and analysis unit also includes: By formula Get winding stability state coefficient ; is the first preset weight coefficient, is the second preset weight coefficient, and > >0; The winding stability state factor The threshold range of the winding stability state coefficient is To compare: like < , then the winding stability is normal; like ≤ ≤ , then it is judged that there is an abnormal risk in winding stability; like > , the winding stability is judged to be abnormal and a warning signal is generated.

[0033] In the above technical solution, the winding stability state coefficient is obtained by the weighing analysis unit to realize the judgment of winding stability. Specifically, the formula Calculate the winding stability state coefficient , by judging the winding state in the time interval of different stages, that is, calculating the winding state in the stable winding stage Winding state parameters in The size change and the second weight change value The cumulative value of the product of Winding state parameters in Size change and first weight change value The cumulative value of the product of; and the preset weight coefficient , They are all obtained based on historical data experience, by calculating the difference between the two stages, that is, comparing the state size between the two stages to determine the winding stability state coefficient Is it within the normal winding stability threshold range? If there is an abnormality, an early warning signal is generated.

[0034] As an embodiment of the present invention, the sampling control unit is used to perform winding sampling and adjust the sampling frequency according to the winding stability, specifically including: like < , winding sampling is carried out; like ≤ ≤ , then adjust the sampling frequency: No. The sampling frequency after the point adjustment ; in, For the Initial sampling frequency of each point; is the third correction factor.

[0035] In the above technical solution, the sampling control unit further processes the abnormal winding stability state coefficient, and judges that the stability is normal, that is, < is to conduct winding sampling, otherwise, when ≤ ≤ When the stability is unstable, it is judged that the sampling frequency needs to be adjusted. Specifically, the sampling frequency is increased to ensure that the current weighing sampling frequency is adjusted closer to the actual result of the online weighing analysis, thereby reducing the amount of samples to be sampled and the time to obtain samples, so as to optimize the winding stability and uniformity and improve the accuracy of weighing sampling.

[0036] Among them, the third correction coefficient The measured value used to correct the original stability coefficient threshold interval is selected and set according to the reasonable range of the historical error interval of the current sampling, so that the measured adjusted sampling frequency is closer to the actual result.

[0037] As an embodiment of the present invention, please refer to Figure 2 As shown, the sampling control unit also includes a device for issuing a clipping signal according to the size of the winding stability state coefficient.

[0038] In the above technical solution, when the winding stability state coefficient is generated, it is also tailored according to the current state to ensure that the winding meets the expected requirements.

[0039] As an embodiment of the present invention, the winding stability state coefficient With setting threshold To compare: When the winding stability state coefficient Reaching the set threshold When , a trimming signal is sent to the current point and generated.

[0040] In the above technical solution, the winding stability state coefficient is specifically determined by Whether the set threshold is reached When winding detection is required, when the winding stability reaches the set threshold, it needs to be cut in time to ensure the best use of the winding machine.

[0041] The present invention also designs a winding online weighing sampling method, which uses a winding online weighing sampling system to implement a winding weighing sampling process, including: S1. The calibration unit uses an industrial computer to regularly calibrate the single-point weighing sensor configured in the winding machine according to the initial sampling frequency; S2, the winding collection unit collects the winding state parameters of each preset point on the winding machine in real time; S3, the weighing and analyzing unit weighs and analyzes the winding at each preset point to obtain a weight change value, and determines the winding stability based on the weight change value and the real-time winding state parameter; S4, the sampling control unit performs winding sampling according to the winding stability judgment result and adjusts the initial sampling frequency; S5. The output unit outputs the weighing analysis result.

[0042] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0043] The above specific embodiments of this specification are described. Other embodiments are within the scope of the attached documents. In some cases, the actions or steps recorded in this application can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0044] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this application, they shall all fall within the protection scope of the present invention.

Claims

1. A winding online weighing sampling system, characterized in that: include: A calibration unit, used to periodically calibrate the single-point weighing sensor configured for the winding machine according to the initial sampling frequency using an industrial computer; The winding collection unit is used to collect the winding state parameters of each preset point on the winding machine in real time; A weighing and analysis unit is used to weigh and analyze the winding at each preset point to obtain a weight change value, and to determine the winding stability based on the weight change value and real-time winding state parameters; A sampling control unit, used for sampling the winding and adjusting the initial sampling frequency according to the winding stability judgment result; Output unit, used to output weighing analysis results.

2. A winding online weighing sampling system according to claim 1, characterized in that: The winding collection unit comprises: By formula Calculate the winding state parameters ;in, Collect initial time for winding; The end time of winding collection; It is the winding collection time period; is the total number of preset points; ∈ ; For the The winding spacing of each point, It is the standard winding pitch; is the preset winding pitch deviation value; For the The point position affects the function; For the Real-time speed of each point.

3. A winding online weighing sampling system according to claim 2, characterized in that: The system further comprises a pressure change monitoring unit, wherein the pressure change monitoring unit comprises: Get Pressure variation parameters of the winding coil within a time period: By formula Calculate the first pressure change parameter ;in, The initial time when the winding starts to accelerate; The end time of winding to the set speed; It is the time period for the winding to accelerate from rest to the set speed; For the The pressure value of the winding coil at each point; for In the time period The maximum pressure of the winding coil at each point; for In the time period The maximum value of the preset pressure standard curve of the winding coil at each point; for In the time period The average pressure of the winding coil at each point; for In the time period The average value of the preset pressure standard curve of the winding coil at each point; Get Pressure variation parameters of the winding coil within a time period: By formula Calculate the second pressure change parameter ;in, The starting time for winding to the set speed; The end time for winding to the specified number of turns at the set speed; for In the time period The average pressure of each point; for In the time period The standard pressure value of each point.

4. A winding online weighing sampling system according to claim 3, characterized in that: The weighing and analyzing unit comprises: By formula Calculate the first weight change value ; By formula Calculate the second weight change value ; in, is the preset function; is the first correction coefficient; is the second correction factor; for The weight of the winding coil accelerated to the set speed within the time period; Start with an initial weight for winding; for The weight at the end of winding at the set speed within the time period.

5. A winding online weighing sampling system according to claim 4, characterized in that: The weighing and analyzing unit also includes: By formula Get winding stability state coefficient ; is the first preset weight coefficient, is the second preset weight coefficient, and > >0; The winding stability state factor The threshold range of the winding stability state coefficient is To compare: like < , then the winding stability is normal; like ≤ ≤ , then it is judged that there is an abnormal risk in winding stability; like > , the winding stability is judged to be abnormal and a warning signal is generated.

6. A winding online weighing sampling system according to claim 5, characterized in that: The sampling control unit is used to perform winding sampling and adjust the sampling frequency according to the winding stability, specifically including: like < , winding sampling is carried out; like ≤ ≤ , then adjust the sampling frequency: No. The sampling frequency after the point adjustment ; in, For the Initial sampling frequency of each point; is the third correction factor.

7. The winding online weighing sampling system according to claim 5, characterized in that: The sampling control unit also includes a device for issuing a clipping signal according to the size of the winding stability state coefficient.

8. The winding online weighing sampling system according to claim 7, characterized in that: The winding stability state factor With setting threshold To compare: When the winding stability state coefficient Reaching the set threshold When , a trimming signal is sent to the current point and generated.

9. A winding online weighing sampling method, characterized in that: The method uses the winding online weighing sampling system according to any one of claims 1 to 8 to implement the winding weighing sampling process, including: S1. The calibration unit uses an industrial computer to regularly calibrate the single-point weighing sensor configured for the winding machine according to the initial sampling frequency; S2, the winding collection unit collects the winding state parameters of each preset point on the winding machine in real time; S3, the weighing and analyzing unit weighs and analyzes the winding at each preset point to obtain a weight change value, and determines the winding stability based on the weight change value and the real-time winding state parameter; S4, the sampling control unit performs winding sampling according to the winding stability judgment result and adjusts the initial sampling frequency; S5. The output unit outputs the weighing analysis result.

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