Automatic weighing system based on enameled wire

Abstract

The invention relates to the technical field of weighing measurement, particularly discloses an automatic weighing system based on an enameled wire, and aims to improve the measurement precision of the weighing system, optimize measurement interference information and improve the weighing efficiency of the enameled wire. According to the system, a test unit obtains historical environment information of a weighing sensor and historical enamelled wire weighing output signals to judge whether interference exists in the weighing sensor or not; if yes, interference compensation analysis is carried out; if not, a controller is started to generate a weighing control signal; the data fusion unit performs interference compensation analysis to generate error correction compensation information of the weighing sensor, obtains a correction compensation coefficient and outputs a predicted weight value; the control unit receives the weighing control signal to carry out weighing query and generates a weighing starting program; the acquisition unit executes a weighing starting program, acquires an enameled wire weighing signal in real time through a weighing sensor, and obtains an actual weight value; the display unit displays the actual weight value and the weight compensation grade signal of the enameled wire.

Description

Technical Field

[0001] The invention relates to the technical field of weighing measurement, and in particular to an automatic weighing system based on enameled wire. Background Art

[0002] The enameled wire automatic weighing system is a device used to automatically measure and record the weight of enameled wire, which is widely used in the enameled wire production industry. The application of the automatic weighing system can greatly improve the production efficiency of enameled wire, reduce the error rate of manual operation, and realize the precise control and management of the weight of enameled wire.

[0003] With the rapid development of electronic technology, intelligent and automated weighing through sensors has become a major trend. As the connection between sensors and the Internet of Things has been continuously strengthened in recent years, the development of weighing sensors has increasingly emphasized the combination of intelligent technology and virtual technology. Today's intelligent electronic weighing system is mainly composed of weighing sensors, load cells, conditioning circuits, compensation algorithms, and display instruments. It must rely on both software and hardware technologies to support the operation of the entire system.

[0004] The technologies of existing automated weighing systems for enameled wires are mostly limited by the enameled wire production conveyor lines and their location route arrangements. Since the weighing position also needs to be accurately located during digital identification during the weighing process, the actual operation still needs to rely on manual adjustments and positioning processing by staff, which in turn affects the intelligent weighing speed and weighing efficiency. Moreover, in the actual weighing process, the accuracy of the weighing system equipment under different states is often affected by the environment and other factors, which is often ignored, making it difficult to have a unified algorithm and analysis process to achieve accurate measurement of the enameled wire and eliminate interference factors. Summary of the invention

[0005] The purpose of the present invention is to provide an automatic weighing system based on enameled wire to solve the following technical problems: How to improve the measurement accuracy of the weighing system, optimize the measurement interference information, and improve the weighing efficiency of enameled wire.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An automatic weighing system based on enameled wire, comprising: The test unit is used to obtain the historical environmental information of the weighing sensor and the historical enameled wire weighing output signal to determine whether there is interference with the weighing sensor: If so, interference compensation analysis is performed; If not, the controller is started to generate a weighing control signal; The data fusion unit is used to perform interference compensation analysis to generate error correction compensation information of the weighing sensor, obtain the correction compensation coefficient, and output the predicted weight value; A control unit, used for receiving a weighing control signal to perform a weighing query and generate a weighing start program; The acquisition unit is used to execute the weighing start-up program, collect the enameled wire weighing signal in real time through the weighing sensor, and obtain the actual weight value; The display unit is used to display the actual weight value of the enameled wire and the weight compensation level signal.

[0007] Preferably, the testing unit comprises: By formula Calculate the interference risk factor ;in is the first preset weight coefficient, is the second preset weight coefficient, is the third preset weight coefficient, and , , All are greater than 0; The maximum difference in output voltage under different temperature conditions when the input quality is 0; The maximum difference of the preset standard output voltage under different temperature conditions when the input quality is 0; Indicates the quality When the ambient temperature is within the preset range , the maximum output voltage of the internal weighing sensor, and >0, is the ambient temperature range, and is a positive integer; Indicates the quality When the ambient temperature changes within the preset range, the load cell outputs the minimum voltage; It indicates the maximum deviation of the standard output voltage caused by the change of ambient temperature within the preset range under the same weight condition; For quality When , the calibration amount of each measured ambient temperature change deviates from the temperature value; The calibration quantity deviates from the temperature standard value.

[0008] Preferably, the interference risk factor Interference risk factor threshold interval To compare: like < , it is judged that there is no interference with the weighing sensor; like ≤ ≤ , then it is judged that there is an interference risk in the weighing sensor; like > , it is judged that there is interference in the weighing sensor.

[0009] Preferably, the process of performing interference compensation analysis according to the fusion unit specifically includes: By formula Calculate the correction compensation coefficient ; in is the weight calibration point, is the temperature calibration point, ∈ ,and is the total number of calibration points; For the The weight value of the calibration point, The weight value after compensation for the calibration point; is the output voltage of the weighing sensor, is the output voltage of the temperature sensor; It is the weight-temperature factor function of the sensor output voltage at the calibration point.

[0010] Preferably, the compensation coefficient is corrected The preset correction compensation coefficient threshold range To compare: like < , it is judged that the weighing error of the weighing sensor is too small; like ∈ , then it is judged that the weighing error of the weighing sensor is normal; like > , it is judged that the weighing error of the weighing sensor is too large and a warning signal is generated.

[0011] Preferably, the specific process of obtaining the predicted weight value is: A BP neural network model based on a genetic algorithm is constructed, and the weight values ​​obtained from historical enameled wire weighing and their corresponding historical correction compensation coefficients are input into the BP neural network model based on a genetic algorithm as training sample data, and the BP neural network model based on a genetic algorithm is trained; The trained BP neural network model based on genetic algorithm outputs model parameters, and calculates and verifies the real-time acquired weight value and its corresponding correction compensation coefficient to output the predicted weight value.

[0012] Preferably, the collection unit collects the enameled wire weighing signal in real time through a weighing sensor to obtain the actual weight value: By formula Get the actual weight value ; in, Interference risk factor Level value, The larger the value, the larger the weight adjustment range; is the weight value of the weighing signal; To correct the weight value for compensation error.

[0013] Preferably, the weight compensation level signal of the display unit is obtained in the following manner: Get the actual weight value Difference from predicted weight , and the difference The preset threshold range For comparison: like < , then the weight compensation level is judged to be low; like ≤ ≤ , then the weight compensation level is judged to be moderate; like > , then the weight compensation level is judged to be high.

[0014] Beneficial effects of the present invention: (1) The present invention implements a preliminary test during the weighing process by setting up a test unit, and pre-determines whether the weighing sensor that obtains the weighing output signal has interference from environmental information, thereby realizing further regulation and weighing processing. By obtaining the historical environmental information of the weighing sensor and the historical enameled wire weighing output signal, and performing interference prediction on the historical environmental information and the historical enameled wire weighing output signal, it is determined whether the weighing sensor has interference. If interference exists, it is necessary to perform interference compensation analysis; if no interference exists, it is necessary to start the controller to generate a weighing control signal; the test unit ensures that the interference information in the weighing sensor can be accurately predicted.

[0015] (2) The present invention generates error correction compensation information by setting a data fusion unit, realizes interference compensation analysis according to the temperature characteristic curve of the sensor and the corresponding output signal, and then obtains the correction compensation coefficient, and constructs a machine model to output a predicted weight value, and analyzes the relationship between the output signal error and the temperature, and obtains the correction compensation coefficient by formula calculation. By setting a control unit to perform weighing query based on the weighing control signal generated by the previous unit analysis, adjusting the interference information based on the sensitivity of the weighing sensor and realizing the digital output and correction of the weighing signal, the actual weight value is obtained, and the acquisition unit obtains the final result after digital optimization according to the test unit, data fusion unit, and control unit of the present invention, thereby improving the accuracy of actual weighing.

[0016] (3) The actual weight value and weight compensation level signal of the enameled wire are obtained by setting the display unit; the weight compensation level signal is obtained based on the interference compensation analysis performed by the data fusion unit. The weight compensation level signal can help the operator judge the working status of the weighing system and the reliability of the weighing result. If the compensation level is high, the operator may need to further check whether there is any abnormality in the weighing system, or perform additional inspections on the product (enameled wire) to improve the weighing efficiency of the enameled wire according to the weight compensation level signal.

[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 unit diagram of an automated weighing system based on enameled wire according to 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] The technologies of existing automated weighing systems for enameled wires are mostly limited by the production conveyor lines of the enameled wires and their location route arrangements. Since the weighing position also needs to be accurately located during digital identification during the weighing process, the actual operation still needs to rely on manual adjustments and positioning processing by staff, which in turn affects the intelligent weighing speed and weighing efficiency. Moreover, in the actual weighing process, the accuracy of the weighing system equipment under different states is often affected by the environment and other factors, which is often ignored, making it difficult to have a unified algorithm and analysis process to achieve accurate measurement of the enameled wire and eliminate interference factors.

[0022] To solve the above technical problems, please refer to Figure 1 As shown, the present invention is an automatic weighing system based on enameled wire, comprising: The test unit is used to obtain the historical environmental information of the weighing sensor and the historical enameled wire weighing output signal to determine whether there is interference with the weighing sensor: If so, interference compensation analysis is performed; If not, the controller is started to generate a weighing control signal; The data fusion unit is used to perform interference compensation analysis to generate error correction compensation information of the weighing sensor, obtain the correction compensation coefficient, and output the predicted weight value; A control unit, used for receiving a weighing control signal to perform a weighing query and generate a weighing start program; The acquisition unit is used to execute the weighing start-up program, collect the enameled wire weighing signal in real time through the weighing sensor, and obtain the actual weight value; The display unit is used to display the actual weight value of the enameled wire and the weight compensation level signal.

[0023] In the above technical scheme, an automatic weighing system based on enameled wire is designed to precisely control the intelligent and digital weighing system. The error of the weighing sensor is precisely controlled through five units including the test unit, data fusion unit, control unit, acquisition unit and display unit to realize the intelligent weighing process.

[0024] First, a test unit is set to implement a pre-test during the weighing process, and to pre-judge whether the weighing sensor that obtains the weighing output signal has interference from environmental information, so as to achieve further regulation and weighing processing. The specific method is to obtain the historical environmental information of the weighing sensor and the historical enameled wire weighing output signal, and to predict the interference of the historical environmental information and the historical enameled wire weighing output signal, and to judge whether the weighing sensor has interference. If there is interference, it is necessary to perform interference compensation analysis; if there is no interference, it is necessary to start the controller to generate a weighing control signal. Among them, the weighing sensor of the present invention generally refers to a digital weighing sensor, and the historical environmental information is not limited to factors such as temperature, humidity, and electromagnetic environment. For example, temperature changes may cause the metal parts inside the weighing sensor to expand and contract, thereby changing the sensitivity of the sensor. If in a high temperature environment, the elastic element of the weighing sensor may undergo a slight deformation, affecting its ability to sense stress, and then affecting the weighing output signal. Therefore, the present invention considers the influence of the temperature conditions in the environment as the main factor, and judges the change of the weighing output signal, especially the voltage with temperature to predict the interference of the judgment signal. For environmental parameters, data is usually obtained from a temperature and humidity sensor installed near the weighing area or a temperature and humidity sensor digitally connected to the weighing sensor.

[0025] Then, the data fusion unit is set to generate error correction compensation information, and interference compensation analysis is performed according to the temperature characteristic curve of the sensor and the corresponding output signal, so as to obtain the correction compensation coefficient, and build a machine model to output the predicted weight value. The relationship between the output signal error and the temperature is analyzed, and the correction compensation coefficient is obtained by formula calculation. Of course, in actual situations, there may be multiple interference factors at the same time. The data fusion unit needs to comprehensively consider these factors to obtain the final correction compensation coefficient. Assuming that temperature and electromagnetic interference exist at the same time, the final correction compensation coefficient may be in the form of a weighted sum of the two.

[0026] Next, the control unit is set to perform weighing query based on the weighing control signal generated by the previous unit analysis to confirm the weighing conditions, which include the weighing object (enameled wire), weighing object batch, weighing accuracy requirements, etc. The current status of the weighing sensor is queried, including whether the weighing sensor is in normal working condition and whether the calibration has been completed. After the preparations for the weighing query are completed, a weighing startup program is generated as needed.

[0027] Among them, for the weighing sensor, a specific query instruction may be sent, and the weighing sensor will return its own status information. The weighing startup program will first include operating instructions for the conveying equipment. For example, if it is queried that the conveying equipment has not been started, the program will instruct the conveying equipment to start running and accurately transport the items to be weighed (such as enameled wire) to the load cell's carrying platform. It will also include operating instructions for the weighing sensor, such as setting the working mode of the weighing sensor (single weighing or continuous weighing mode, etc.), and determining the sensor parameter adjustment corresponding to the weighing accuracy requirements (such as magnification, sampling frequency, etc.). In addition, the weighing startup program will also take into account subsequent operations, such as how to store, display or transmit the weighing results to other related systems (such as production management systems) after the weighing is completed.

[0028] Furthermore, by setting up a collection unit, the weighing start-up program is executed. During the execution process, an initialization operation is first required, and then the collection cycle and collection frequency are pre-set according to the weighing start-up program, and then the weighing start-up program is executed, and the enameled wire weighing signal is collected in real time through the weighing sensor to obtain the actual weight value; the enameled wire weighing signal output by the weighing sensor is usually an analog signal, and its size is proportional to the weight of the enameled wire. For example, a common weighing sensor may output a voltage signal at the millivolt level, and its voltage value will change linearly with the increase of the weight of the enameled wire (assuming it is within the range of the sensor). Based on the sensitivity of the weighing sensor, the interference information is adjusted and the weighing signal is output and corrected in the form of data to obtain the actual weight value. The collection unit obtains the final result after digital optimization according to the test unit, data fusion unit, and control unit of the present invention, thereby improving the accuracy of the actual weighing.

[0029] Finally, the actual weight value and weight compensation level signal of the enameled wire are obtained by setting the display unit; the weight compensation level signal reflects the degree or level of compensation for the weight of the enameled wire in the weighing system, which is based on the interference compensation analysis done by the previous data fusion unit. For example, if a large interference factor is detected during the weighing process, such as strong electromagnetic interference or rapid temperature changes, a higher weight compensation level may correspond; if the interference is small, the weight compensation level is lower. The weight compensation level signal can help the operator determine the working status of the weighing system and the reliability of the weighing results. If the compensation level is high, the operator may need to further check whether there is any abnormality in the weighing system, or perform additional tests on the product (enameled wire).

[0030] In this embodiment, as an implementation of the present invention, the test unit includes: By formula Calculate the interference risk factor ;in is the first preset weight coefficient, is the second preset weight coefficient, is the third preset weight coefficient, and , , All are greater than 0; The maximum difference in output voltage under different temperature conditions when the input quality is 0; The maximum difference of the preset standard output voltage under different temperature conditions when the input quality is 0; Indicates the quality When the ambient temperature is within the preset range , the maximum output voltage of the internal weighing sensor, and >0, is the ambient temperature range, and is a positive integer; Indicates the quality When the ambient temperature changes within the preset range, the load cell outputs the minimum voltage; It indicates the maximum deviation of the standard output voltage caused by the change of ambient temperature within the preset range under the same weight condition; For quality When , the calibration amount of each measured ambient temperature change deviates from the temperature value; The calibration quantity deviates from the temperature standard value.

[0031] In the above technical solution, the test unit obtains the interference risk coefficient by calculating The interference risk of the weighing sensor can be judged, and then the next weighing control processing can be realized. By analyzing the change of the output signal under different temperature conditions, mainly the change of the output voltage, when the output voltage change range under temperature interference has a large deviation, the interference risk coefficient If it is too large, it is judged that the weighing sensor has interference caused by the environment, especially temperature offset, and compensation interference processing is required.

[0032] Among them, it needs to be explained that the preset weight coefficient , , All are obtained by fitting based on historical experience data; the maximum difference of standard output voltage , Standard output voltage maximum deviation , the calibration quantity deviates from the temperature standard value All of them are selected based on historical experience data to ensure that the ambient temperature affects the output voltage related changes in the weighing sensor, and then reflects the impact on the stability and accuracy of the weighing system. The present invention uses the temperature change under zero-degree processing to affect , the influence of ambient temperature on the sensitivity (output voltage) of the reforming sensor And the impact of changes caused by deviations in temperature calibration Analyze and combine the weights of these three factors to get the final output interference risk coefficient The size of the influence is designed for summation calculation, and finally the comprehensive signal interference result of the weighing sensor is obtained.

[0033] As an implementation mode of the present invention, the interference risk coefficient Interference risk factor threshold interval To compare: like < , it is judged that there is no interference with the weighing sensor; like ≤ ≤ , then it is judged that there is an interference risk in the weighing sensor; like > , it is judged that there is interference in the weighing sensor.

[0034] In the above technical solution, the interference risk coefficient is further The size is determined by comparing and analyzing the numerical value to confirm the interference of the weighing sensor. The preset interval threshold determined by historical experience is used as the demarcated range. If it falls within this interval, that is, ≤ ≤ , it is judged that there may be interference in the weighing sensor and further monitoring is required; if it exceeds the preset interference risk coefficient threshold range, it is judged that there is interference and interference compensation analysis is required; if it is less than the preset interference risk coefficient threshold range, it is judged that there is no interference and the current weighing process is normal and no processing is required. The controller can be started to generate a weighing control signal.

[0035] As an embodiment of the present invention, the process of performing interference compensation analysis according to the fusion unit specifically includes: Calculate the correction compensation coefficient ; in is the weight calibration point, is the temperature calibration point, ∈ ,and is the total number of calibration points; For the The weight value of the calibration point, The weight value after compensation for the calibration point; is the output voltage of the weighing sensor, is the output voltage of the temperature sensor; It is the weight-temperature factor function of the sensor output voltage at the calibration point.

[0036] In the above technical solution, the correction compensation coefficient is obtained by calculation The interference information of the weighing sensor with interference can be further eliminated, that is, the error can be compensated to realize the judgment of the weighing error of the weighing sensor. The correction compensation coefficient is obtained by calibrating and analyzing the test history weight samples; specifically, the weight of the calibration point and the temperature of the calibration point are used to influence the function of the output voltage during the weighing process, and the correction compensation coefficient is output to realize the precise adjustment process of the output signal with temperature interference.

[0037] Among them, weight-temperature factor affects the function is the output voltage of the weighing sensor during the binary calibration analysis process , the output voltage of the temperature sensor Under the weight and temperature combinations obtained by different sensors, the average value of the output historical voltage values ​​corresponding to the calibration point is selected and obtained, ensuring that the fitting results of the weight values ​​before and after the calibration point compensation are more accurate.

[0038] As an embodiment of the present invention, the compensation coefficient is corrected The threshold interval of the preset correction compensation coefficient To compare: like < , it is judged that the weighing error of the weighing sensor is too small; like ∈ , then it is judged that the weighing error of the weighing sensor is normal; like > , it is judged that the weighing error of the weighing sensor is too large and a warning signal is generated.

[0039] In the above technical solution, according to the correction compensation coefficient The preset correction compensation coefficient threshold range By comparing, the weighing error of the weighing sensor is determined, and a prediction analysis is performed based on the size of the weighing error to output the prediction result.

[0040] As an embodiment of the present invention, the specific process of obtaining the predicted weight value is as follows: A BP neural network model based on a genetic algorithm is constructed, and the weight values ​​obtained from historical enameled wire weighing and their corresponding historical correction compensation coefficients are input into the BP neural network model based on a genetic algorithm as training sample data, and the BP neural network model based on a genetic algorithm is trained; The trained BP neural network model based on genetic algorithm outputs model parameters, and calculates and verifies the real-time acquired weight value and its corresponding correction compensation coefficient to output the predicted weight value.

[0041] In the above technical scheme, in order to optimize the result after error correction, the input information is processed by a multi-layer feedforward neural network, and the predicted weight value is output through a nonlinear change process; a genetic algorithm is introduced to optimize the weights and thresholds in the BP neural network to optimize and improve the overall performance; historical data including the weight values ​​obtained by weighing the historical enameled wires and their corresponding historical correction compensation coefficients are input as samples for training convergence, the output is calculated according to forward propagation, and then the weights and thresholds of the network are adjusted by back propagation according to the error between the output and the actual value.

[0042] Then, the trained BP neural network model based on genetic algorithm will output a set of optimized model parameters, which include weights and thresholds between each layer of BP neural network. These parameters determine the structure and function of the model and are the key to the model's ability to accurately predict new data; when the model receives the real-time acquired weight value and its corresponding correction compensation coefficient, it will use the trained model parameters for calculation. First, the real-time weighing data is processed in the same preprocessing method as the training data, and then the processed data is input into the BP neural network, and the prediction result is obtained according to the forward propagation calculation. This prediction result is the predicted weight value, which reflects the model's evaluation of the current enameled wire weighing situation and is also a test of the model's performance. If the predicted weight value is close to the actual weight value (which can be obtained through subsequent precise measurement), it means that the model has good accuracy and reliability.

[0043] As an embodiment of the present invention, the collection unit collects the enameled wire weighing signal in real time through a weighing sensor to obtain the actual weight value: By formula Get the actual weight value ; in, Interference risk factor Level value, The larger the value, the larger the weight adjustment range; is the weight value of the weighing signal; To correct the weight value for compensation error.

[0044] In the above technical solution, the actual weight value is obtained by adjusting the interference information based on the sensitivity of the weighing sensor and realizing the digital output and correction of the weighing signal. Therefore, it is necessary to substitute the relevant influence of the interference risk coefficient and the relevant influence of the correction compensation coefficient. In this embodiment, the interference risk coefficient is obtained according to the influence of the interference risk coefficient on the weighing. Level Value ,and The larger the value, the larger the weight adjustment range, and the larger the value that needs to be added or subtracted; the weight compensation value of the corrected compensation error is obtained by fitting the weight compensation value of the curve of the real-time correction compensation coefficient. .

[0045] As an implementation mode of the present invention, the weight compensation level signal of the display unit is obtained in the following manner: Get the actual weight value Difference from predicted weight , and the difference The preset threshold range For comparison: like < , then the weight compensation level is judged to be low; like ≤ ≤ , then the weight compensation level is judged to be moderate; like > , then the weight compensation level is judged to be high.

[0046] In the above technical solution, the weight compensation level signal is obtained through the display unit to feedback the accuracy of the model prediction process. The weight compensation level result reflects the difficulty of the weighing sensor adjustment process. If the level is too high, it is necessary to increase the measurement process of the product and the weighing equipment. The specific judgment is to convert the actual weight value Subtract the predicted weight value to obtain , by judging The size of > , the weight compensation level is judged to be high and further inspection of the weighing system is required. Otherwise, the weight compensation level is judged to be within the normal range and when < When , it proves that the optimization model has good performance; when ≤ ≤ ,The weight compensation level is judged to be moderate, reflecting the general performance of the optimization model.

[0047] The weight compensation level signal can help the operator determine the working status of the weighing system and the reliability of the weighing results. If the compensation level is high, the operator may need to further check whether there is any abnormality in the weighing system or perform additional testing on the product (enameled wire).

[0048] 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.

[0049] 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.

[0050] 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. An automatic weighing system based on enameled wire, characterized in that: include: The test unit is used to obtain the historical environmental information of the weighing sensor and the historical enameled wire weighing output signal to determine whether there is interference with the weighing sensor: If so, interference compensation analysis is performed; If not, the controller is started to generate a weighing control signal; The data fusion unit is used to perform interference compensation analysis to generate error correction compensation information of the weighing sensor, obtain the correction compensation coefficient, and output the predicted weight value; A control unit, used for receiving a weighing control signal to perform a weighing query and generate a weighing start program; The acquisition unit is used to execute the weighing start-up program, collect the enameled wire weighing signal in real time through the weighing sensor, and obtain the actual weight value; The display unit is used to display the actual weight value of the enameled wire and the weight compensation level signal.

2. The automatic weighing system based on enameled wire according to claim 1 is characterized in that: The test unit comprises: By formula Calculate the interference risk factor ;in is the first preset weight coefficient, is the second preset weight coefficient, is the third preset weight coefficient, and , , All are greater than 0; The maximum difference in output voltage under different temperature conditions when the input quality is 0; The maximum difference of the preset standard output voltage under different temperature conditions when the input quality is 0; Indicates the quality When the ambient temperature is within the preset range , the maximum output voltage of the internal weighing sensor, and >0, is the ambient temperature range, and is a positive integer; Indicates the quality When the ambient temperature changes within the preset range, the load cell outputs the minimum voltage; It indicates the maximum deviation of the standard output voltage caused by the change of ambient temperature within the preset range under the same weight condition; For quality When , the calibration amount of each measured ambient temperature change deviates from the temperature value; The calibration quantity deviates from the temperature standard value.

3. The automatic weighing system based on enameled wire according to claim 2 is characterized in that: Interference risk factor Interference risk factor threshold interval To compare: like < , it is judged that there is no interference with the weighing sensor; like ≤ ≤ , then it is judged that there is an interference risk in the weighing sensor; like > , it is judged that there is interference in the weighing sensor.

4. The automatic weighing system based on enameled wire according to claim 1 is characterized in that: The process of the data fusion unit performing interference compensation analysis specifically includes: By formula Calculate the correction compensation coefficient ; in is the weight calibration point, is the temperature calibration point, ∈ ,and is the total number of calibration points; For the The weight value of the calibration point, The weight value after compensation for the calibration point; is the output voltage of the weighing sensor, is the output voltage of the temperature sensor; It is the weight-temperature factor function of the sensor output voltage at the calibration point.

5. The automatic weighing system based on enameled wire according to claim 4 is characterized in that: The compensation factor will be corrected The threshold interval of the preset correction compensation coefficient To compare: like < , it is judged that the weighing error of the weighing sensor is too small; like ∈ , then it is judged that the weighing error of the weighing sensor is normal; like > , it is judged that the weighing error of the weighing sensor is too large and a warning signal is generated.

6. The automatic weighing system based on enameled wire according to claim 5, characterized in that: The specific process of obtaining the predicted weight value is as follows: A BP neural network model based on a genetic algorithm is constructed, and the weight values ​​obtained from historical enameled wire weighing and their corresponding historical correction compensation coefficients are input into the BP neural network model based on a genetic algorithm as training sample data, and the BP neural network model based on a genetic algorithm is trained; The trained BP neural network model based on genetic algorithm outputs model parameters, and calculates and verifies the real-time acquired weight value and its corresponding correction compensation coefficient to output the predicted weight value.

7. The automatic weighing system based on enameled wire according to claim 6, characterized in that: The acquisition unit collects the enameled wire weighing signal in real time through the weighing sensor to obtain the actual weight value: By formula Get the actual weight value ; in, Interference risk factor Level value, The larger the value, the larger the weight adjustment range; is the weight value of the weighing signal; To correct the weight value for compensation error.

8. The automatic weighing system based on enameled wire according to claim 7, characterized in that: The weight compensation level signal of the display unit is obtained in the following manner: Get the actual weight value Difference from predicted weight , and the difference The preset threshold range For comparison: like < , then the weight compensation level is judged to be low; like ≤ ≤ , then the weight compensation level is judged to be moderate; like > , then the weight compensation level is judged to be high.

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