Automobile weighing apparatus operation and maintenance diagnosis model

Abstract

The invention discloses an operation and maintenance diagnosis model for an automobile weighing instrument. The diagnosis model comprises a data acquisition module, a data storage module and a diagnosis processing module, the data acquisition module acquires data of eight weighing sensors of the automobile weighing instrument; the data storage module is in communication connection with a plurality of clients on the network, receives weighing and metering data of the clients and constructs a classification database; and the diagnosis processing module performs diagnosis processing on oversize or undersize of the code value of the weighing sensor, unbalance loading of the load, zero point analysis, average zero point analysis, the relationship between the fitting weight and the code value of the weighing sensor and the weighing direction. The diagnosis model overcomes the defects of operation and maintenance work of traditional metering equipment, establishes a metering equipment classification database, reads corresponding data from the database to perform data calculation and analysis based on a weighing sensor and an equipment state database, analyzes weighing apparatus fault waveform characteristics through metering professional knowledge, and realizes remote operation and maintenance diagnosis of the metering equipment.

Description

Technical Field

[0001] The present invention relates to the field of measurement technology, and in particular to a vehicle weighing instrument operation and maintenance diagnosis model. Background Art

[0002] With the development of industrial automation, the requirements for the stability and reliability of automobile weighing equipment are constantly increasing. The traditional operation and maintenance diagnosis mode of automobile weighing equipment is difficult to meet the requirements of lean management of measuring equipment. Through the investigation of the current status of operation and maintenance of measuring equipment, it was found that there are some problems, such as the traditional manual mode is still used for the identification and handling of collection fault problems, which is difficult to meet the requirements of timely data collection. In the existing operation and maintenance mode, due to the lack of technical support for intelligent diagnosis and identification of faults, on-site processing is required, and the overall operation and maintenance efficiency is low; and due to the large number of on-site fault types, cumbersome steps in the standard operating instructions, and heavy operation and maintenance tasks, non-standard fault handling operations often occur, resulting in the inability to predict hidden faults of measuring equipment in advance. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a vehicle scale operation and maintenance diagnosis model. This diagnosis model overcomes the defects of traditional metering equipment operation and maintenance operations, establishes a metering equipment classification database, reads corresponding data from the database for data calculation and analysis based on the weighing sensor and equipment status database, analyzes the waveform characteristics of the scale fault through metering expertise, and realizes remote operation and maintenance diagnosis of the metering equipment.

[0004] In order to solve the above technical problems, the vehicle scale operation and maintenance diagnosis model of the present invention includes a data acquisition module, a data storage module and a diagnosis processing module; The data acquisition module collects data from eight weighing sensors of the vehicle scale through a PLC data acquisition controller; The data storage module is installed in the network service architecture of the metering data center, communicates with multiple clients on the network, receives client weighing and metering data and builds a classification database; The diagnostic processing module performs the following operations according to the classified database data: A. The code value of the weighing sensor is too large or too small. According to the verification standard of the automobile scale, judge whether it exceeds the maximum error range according to the ordinary accuracy level. Subtract the code value of the weighing sensor at that time from the code value at 0, sum the subtraction values ​​of the eight weighing sensors, and compare them with the weight value to calculate the difference error; B. Load imbalance: if the absolute value of the difference between the code value changes of the two relative load cells in the vehicle scale is divided by the code value of the larger load cell code value change, it is considered load imbalance if it exceeds 20%; C. Zero point analysis: According to the verification standard of automobile weighing instruments, the error range of zero point is judged to be (-25, +25) according to the ordinary accuracy level. Subtract the code value at 0 from the code value of the eight weighing sensors, and then sum them to determine whether it is within the error range; D. Average zero point analysis: According to the verification standard of automobile weighing instruments, the error range of zero point is judged to be (-25, +25) according to the ordinary accuracy level. Subtract the average code value of 0 o'clock in the past 7 days from the code value of the eight weighing sensors, and then sum them to determine whether it is within the error range; E. Fit the relationship between weight and weighing sensor code value. Calculate the difference between the stable code value of the weighing sensor and the code value at zero when the weighing sensor is weighed for the first time on a certain day. Determine the functional relationship between the difference and the weight value to obtain y=kx+b, where y is the theoretical weight value, b is the code value at zero, x is the standard tonnage code value, and k is the slope coefficient value. Calculate the corresponding weighing sensor code value according to the weight value in subsequent weighings, and compare the error between the theoretical code value and the actual code value. If the error exceeds the tolerance, an error status is prompted and the record is saved; F. Weighing direction: check the weighing position each time, analyze the changing curve of the code value of each weighing sensor, and obtain the weighing direction.

[0005] Furthermore, the data acquisition module collects the code values ​​of eight weighing sensors of the vehicle scale in real time. The code value of the weighing sensor is the difference between the real-time code value and the code value at 0, and the calculation formula is as follows: in, The code value of the weighing sensor at 0:00 on the day and the weight value is 0. is the real-time weighing sensor code value, is the difference between the real-time code value and the 0-time code value; If the current weight value is zero and the sum of the code value differences of the eight weighing sensors reaches 25, the weighing sensor is judged to be abnormal; if the current weight value is not zero and the sum of the code value differences of the eight weighing sensors is approximately equal to the weight value, the weighing sensor is judged to be abnormal based on the maximum allowable error of the vehicle scale. Since the automobile scale operation and maintenance diagnosis model of the present invention adopts the above-mentioned technical solution, that is, the diagnosis model includes a data acquisition module, a data storage module and a diagnosis processing module; the data acquisition module collects the data of the eight weighing sensors of the automobile scale; the data storage module communicates with multiple clients on the network, receives the weighing and measurement data of the clients and builds a classification database; the diagnosis processing module performs diagnosis and processing on the weighing sensor code value that is too large or too small, load eccentricity, zero point analysis, average zero point analysis, the relationship between the fitting weight and the weighing sensor code value, and the weighing direction. This diagnosis model overcomes the defects of traditional metering equipment operation and maintenance operations, establishes a metering equipment classification database, reads the corresponding data from the database based on the weighing sensor and equipment status database, performs data calculation and analysis, analyzes the waveform characteristics of the scale fault through metering professional knowledge, and realizes remote operation and maintenance diagnosis of metering equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments: Figure 1 It is the curve waveform of the code value of eight weighing sensors of the automobile weighing instrument and the waveform of the weight value; Figure 2 This is the normal weighing waveform diagram of the code values ​​and weight values ​​of the eight weighing sensors of the automobile weighing instrument. DETAILED DESCRIPTION

[0007] The vehicle scale operation and maintenance diagnosis model of the present invention includes a data acquisition module, a data storage module and a diagnosis processing module; The data acquisition module collects data from eight weighing sensors of the vehicle scale through a PLC data acquisition controller; The data storage module is installed in the network service architecture of the metering data center, communicates with multiple clients on the network, receives client weighing and metering data and builds a classification database; The diagnostic processing module performs the following operations according to the classified database data: A. The code value of the weighing sensor is too large or too small. According to the verification standard of the automobile scale, judge whether it exceeds the maximum error range according to the ordinary accuracy level. Subtract the code value of the weighing sensor at that time from the code value at 0, sum the subtraction values ​​of the eight weighing sensors, and compare them with the weight value to calculate the difference error; B. Load imbalance: if the absolute value of the difference between the code value changes of the two relative load cells in the vehicle scale is divided by the code value of the larger load cell code value change, it is considered load imbalance if it exceeds 20%; C. Zero point analysis: According to the verification standard of automobile weighing instruments, the error range of zero point is judged to be (-25, +25) according to the ordinary accuracy level. Subtract the code value at 0 from the code value of the eight weighing sensors, and then sum them to determine whether it is within the error range; D. Average zero point analysis: According to the verification standard of automobile weighing instruments, the error range of zero point is judged to be (-25, +25) according to the ordinary accuracy level. Subtract the average code value of 0 o'clock in the past 7 days from the code value of the eight weighing sensors, and then sum them to determine whether it is within the error range; E. Fit the relationship between weight and weighing sensor code value. Calculate the difference between the stable code value of the weighing sensor and the code value at zero when the weighing sensor is weighed for the first time on a certain day. Determine the functional relationship between the difference and the weight value to obtain y=kx+b, where y is the theoretical weight value, b is the code value at zero, x is the standard tonnage code value, and k is the slope coefficient value. Calculate the corresponding weighing sensor code value according to the weight value in subsequent weighings, and compare the error between the theoretical code value and the actual code value. If the error exceeds the tolerance, an error status is prompted and the record is saved; Among them, the weight value is the display value of the weighing instrument, the stable code value of the weighing sensor is the digital value of the force of the sensor weight, and the code value at 0 is the digital value of the force of the weighing sensor when the scale is empty; the code value of the weighing sensor and the weight value of the weighing instrument are obtained through data collection and stored in the database; the k value is the standard slope, and the unit (code value / t) calculated by the system during scale calibration is the unit code value corresponding to each ton. The ratio of the difference between the empty scale code value and the large code value and the weight value displayed on the instrument is known, and the deviation between the theoretical weight value and the instrument display value can be determined by calculation; F. Weighing direction: check the weighing position each time, analyze the changing curve of the code value of each weighing sensor, and obtain the weighing direction.

[0008] Preferably, the data acquisition module collects the code values ​​of eight weighing sensors of the automobile scale in real time. The code value of the weighing sensor is the difference between the real-time code value and the code value at 0, and the calculation formula is as follows: in, The code value of the weighing sensor at 0:00 on the day and the weight value is 0. is the real-time weighing sensor code value, is the difference between the real-time code value and the 0-time code value; If the current weight value is zero and the sum of the code value differences of the eight weighing sensors reaches 25, the weighing sensor is judged to be abnormal; if the current weight value is not zero and the sum of the code value differences of the eight weighing sensors is approximately equal to the weight value, the weighing sensor is judged to be abnormal based on the maximum allowable error of the vehicle scale.

[0009] The practical applications of this diagnostic model are as follows: Select the real-time data analysis of a certain vehicle scale, and calculate the difference of the code values ​​of eight weighing sensors as follows: Sum the results of the calculations: Calculation of the maximum allowable error range of vehicle scales: The maximum allowable error is: ±25, and the result is within the maximum allowable error range.

[0010] By observing the curve waveform of the weighing sensor code value of the truck scale, we usually select a weighing situation to analyze whether the weight value is abnormal and the state of the weighing sensor code value waveform. The code value waveform can reflect the weighing situation of the truck scale.

[0011] like Figure 1 As shown in the figure, in the case of weighing on the automobile scale, the code value data waveform analysis is carried out. The code values ​​of weighing sensors No. 1 and No. 2 suddenly change dramatically and then stabilize. This shows that the object is weighed by weighing sensors No. 1 and No. 2. The waveforms of weighing sensors No. 3 and No. 4 are quite different from those of weighing sensors No. 5 and No. 6, and the stable value changes of weighing sensors No. 5 and No. 6 are small. Weighing sensors No. 7 and No. 8 have only the last sudden change, which means that the weighing is not carried out at the center of the automobile scale, but at a position away from weighing sensors No. 3 and No. 4, and away from weighing sensors No. 7 and No. 8, which means that the weighing position is not stopped at the appropriate position.

[0012] Among them, normal weighing is in place Figure 2 As shown, the code value change curves of weighing sensors No. 3, 4, 5, and 6 are similar, weighing sensors No. 1 and 2 change suddenly first and then stabilize, and weighing sensors No. 7 and 8 change in the opposite direction.

[0013] Determine the maximum error range. If the difference between the sum of the code value difference of the weighing sensor and the weight value is outside the maximum error range, the weighing sensor code value is judged to be abnormal. The theoretical code value is obtained by function calculation. The theoretical code value is calculated by the functional relationship between the weight value and the code value. Due to the lack of experiments, the function calculation method is calculated by the code value of the first weighing on the scale every day and the code value at 0 o'clock.

[0014] The formula for calculating the functional relationship coefficient is as follows: in, is the code value at 0 o'clock on that day, is the weight value at 0 o'clock on that day, It is the stable code value after the first weighing on that day. is the weight after the first weighing. It is the functional relationship coefficient between weight value and code value.

[0015] The theoretical code value calculation formula is as follows: in, is the code value at 0 o'clock on that day, is the weight value of the query. is the coefficient of the functional relationship between weight value and code value, The theoretical code value for this query.

[0016] Load eccentricity mainly analyzes the load distribution of the object after being weighed. The calculation formula is as follows: in, is the code value at 0 o'clock on that day, is the weight value of the query. is the actual code value of the query. is the rate of change of the sensor code value.

[0017] Theoretically, the standard situation is that the weighing sensors No. 3, 4, 5, and 6 are basically equal and have a larger change rate, while the weighing sensors No. 1, 2, 7, and 8 are basically equal and have a smaller change rate. Analyze a certain time point of the vehicle scale: Through calculation, the change rate of the weighing sensor code value is as follows Figure 1 As shown, the code value change rate of weighing sensors No. 5 and 6 is relatively large, the center of gravity of the weighing object is biased towards weighing sensors No. 5 and 6, the weighing position is biased towards the positions of weighing sensors No. 5 and 6, and the code value change rate of weighing sensors No. 3 and 4 is quite different, indicating that there is load imbalance.

[0018] Quantify the load eccentricity and analyze the difference between the two weighing sensors according to the professional knowledge of measuring equipment analysis. , which is considered to be an eccentric load situation. The calculation formula is as follows: in, It is the code value difference of a weighing sensor queried on that day. is the relative weighing sensor code value difference of this query, It is the ratio of the difference between the two weighing sensors.

[0019] The error between the theoretical value and the actual value mainly shows the error between the code value calculated theoretically and the actual code value. The calculation formula is as follows: in, is the code value at the query time point, is the weight value of the query. is the theoretical code value of this query, It is the error between the code value obtained by theoretical calculation and the actual code value.

[0020] By calculating the error between the theoretical code value and the actual code value, the errors of the eight weighing sensors are added and multiplied by the weight value to obtain the error amount, which is then compared with the maximum allowable error of the vehicle scale to make an error judgment. In the previous case, the sum of the errors is 0.14% and the error amount is 26.38, which is far less than the maximum allowable error of the vehicle scale. The weighing sensor is in normal condition.

[0021] The data collected by the truck scale at a certain time is analyzed. The weight value at that time is 19350, and the readings of the eight weighing sensor codes are 3131.470, 860.030, 6268.920, 6992.650, 6521.180, 9276.540, 4412.290, and 2391.800. The readings of the eight weighing sensors minus the readings of the weighing sensors at 0 are summed to obtain the change in the weighing sensor, which is 19357.030.

[0022] Calculation of maximum allowable error range of truck scale: According to the ordinary accuracy level, the maximum allowable error is: ±50. 19357.030-19350=7.030, which is within the maximum allowable error range.

[0023] Measure the load distribution at that time and analyze the proportion of the load cell code value changes at each position.

[0024] Dividing the above results by the weight value of 19350, the respective proportions are: 1.66%, 1.04%, 18.43%, 15.31%, 23.40%, 23.58%, 8.74%, and 7.88%.

[0025] The load imbalance is quantitatively analyzed. According to the professional knowledge of measuring equipment analysis, if the difference between the two weighing sensors exceeds 20%, it is considered to be a load imbalance. The calculation is as follows: Among them, the load cell No. 1 exceeded 20%, which was an overload condition.

[0026] This diagnostic model can analyze the working status of the automobile scale, including: eccentric load analysis, weighing analysis, calibration analysis, real-time data change analysis, and theoretical value and actual value deviation analysis. Remote operation and maintenance diagnosis of measuring equipment. Transmit the data of the weighing sensor of the measuring instrument through the network, transmit the data signal completely to the database for storage, and use the data in the database for remote operation and maintenance diagnosis analysis; a total of eight automobile weighing sensors are collected and analyzed, and experience and data statistics are combined with past tests to form a classification database for measuring equipment. Based on the weighing sensor and equipment status database, the code value of the real-time data is comprehensively analyzed, the relationship between the code value and the weight value, and the changes in the weighing code value are analyzed, and an operation and maintenance diagnostic model for the automobile scale is established.

[0027] This diagnostic model targets the current status of metering equipment operation and maintenance. By establishing a database based on weighing sensors and equipment status, and using metrological expertise to analyze the fault waveform characteristics of truck scales, this model conducts remote inspection and maintenance of metering equipment, providing intelligent operation and maintenance services for metering equipment.

Claims

1. A vehicle scale operation and maintenance diagnosis model, characterized by: It includes a data acquisition module, a data storage module and a diagnosis processing module; The data acquisition module collects data from eight weighing sensors of the vehicle scale through a PLC data acquisition controller; The data storage module is installed in the network service architecture of the metering data center, communicates with multiple clients on the network, receives client weighing and metering data and builds a classification database; The diagnostic processing module performs the following operations according to the classified database data: A. The code value of the weighing sensor is too large or too small. According to the verification standard of the automobile scale, judge whether it exceeds the maximum error range according to the ordinary accuracy level. Subtract the code value of the weighing sensor at that time from the code value at 0, sum the subtraction values ​​of the eight weighing sensors, and compare them with the weight value to calculate the difference error; B. Load imbalance: if the absolute value of the difference between the code value changes of the two relative load cells in the vehicle scale is divided by the code value of the larger load cell code value change, it is considered load imbalance if it exceeds 20%; C. Zero point analysis: According to the verification standard of automobile weighing instruments, the error range of zero point is judged to be (-25, +25) according to the ordinary accuracy level. Subtract the code value at 0 from the code value of the eight weighing sensors, and then sum them to determine whether it is within the error range; D. Average zero point analysis: According to the verification standard of automobile weighing instruments, the error range of zero point is judged to be (-25, +25) according to the ordinary accuracy level. Subtract the average code value of 0 o'clock in the past 7 days from the code value of the eight weighing sensors, and then sum them to determine whether it is within the error range; E. Fit the relationship between weight and weighing sensor code value. Calculate the difference between the stable code value of the weighing sensor and the code value at zero when the weighing sensor is weighed for the first time on a certain day. Determine the functional relationship between the difference and the weight value to obtain y=kx+b, where y is the theoretical weight value, b is the code value at zero, x is the standard tonnage code value, and k is the slope coefficient value. Calculate the corresponding weighing sensor code value according to the weight value in subsequent weighings, and compare the error between the theoretical code value and the actual code value. If the error exceeds the tolerance, an error status is prompted and the record is saved; F. Weighing direction: check the weighing position each time, analyze the changing curve of the code value of each weighing sensor, and obtain the weighing direction.

2. The vehicle scale operation and maintenance diagnosis model according to claim 1 is characterized by: The data acquisition module collects the code values ​​of eight weighing sensors of the vehicle scale in real time. The code value of the weighing sensor is the difference between the real-time code value and the code value at 0, and the calculation formula is as follows: in, The code value of the weighing sensor at 0:00 on the day and the weight value is 0. is the real-time weighing sensor code value, is the difference between the real-time code value and the 0-time code value; If the current weight value is zero and the sum of the code value differences of the eight weighing sensors reaches 25, the weighing sensor is judged to be abnormal; if the current weight value is not zero and the sum of the code value differences of the eight weighing sensors is approximately equal to the weight value, the weighing sensor is judged to be abnormal based on the maximum allowable error of the vehicle scale.

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