Voltage acquisition algorithm and system for airport apron unpowered equipment

Abstract

The invention relates to the technical field of voltage monitoring, and discloses a voltage acquisition algorithm and system for airport apron unpowered equipment, and the algorithm comprises the following steps: obtaining a known reference voltage through a standard voltage reference module; performing digital sampling on the known reference voltage by using an analog-to-digital converter to obtain a first digital quantity; the analog-to-digital converter also performs digital sampling on the voltage of the battery to be measured to obtain a second digital quantity; and according to the known reference voltage, the first digital quantity and the second digital quantity, processing by using a preset calculation formula so as to calculate an accurate value of the voltage of the battery to be measured. A voltage acquisition algorithm based on known reference voltage reverse calculation is adopted, a high-precision battery voltage measurement effect is achieved, the scheme effectively avoids the influence of an external voltage division error, the battery voltage monitoring precision is ensured, and particularly, the performance is more stable and reliable in detection of voltage drop in a peak period.

Description

Technical Field

[0001] The present invention relates to the technical field of voltage monitoring, and in particular to a voltage acquisition algorithm and system for apron non-powered equipment. Background Art

[0002] On airport aprons, numerous unpowered devices, such as pallets, towbars, work ladders, and towbars, are critical to ensuring the normal operation of aircraft. These devices are primarily characterized by their lack of engines or external continuous power supplies, relying instead on solar cells for power, forming a typical "unpowered + low power + intermittent recharge" system. Due to the unique nature of their power sources, monitoring the battery voltage and remaining charge is crucial for their proper operation.

[0003] However, traditional battery voltage monitoring methods often suffer from insufficient accuracy. Many voltage acquisition methods use resistor dividers to divide the voltage, but this approach is susceptible to environmental fluctuations and resistor errors, resulting in insufficient voltage monitoring accuracy. During peak hours, this can lead to undetected drops in device battery voltage, potentially causing equipment failure and other issues. Furthermore, insufficient voltage monitoring accuracy can lead to false alarms or excessive maintenance, wasting resources and impacting equipment operation.

[0004] To address these issues, the present invention proposes a novel voltage acquisition algorithm that reversely calculates the system reference voltage based on a fixed, known voltage source, fundamentally eliminating the impact of voltage divider resistor errors on sampling accuracy. This algorithm inputs a known, stable reference voltage into an analog-to-digital converter (ADC) channel, uses the actual sampled value to infer the current system reference voltage, and then combines it with the original sampled value of the battery voltage to accurately calculate the battery voltage. This innovative method provides higher accuracy, stronger long-term stability, and eliminates the need for an external voltage divider circuit, demonstrating its advantages in voltage monitoring and remaining capacity estimation for non-powered equipment on aprons. Summary of the Invention

[0005] In response to the deficiencies of the prior art, the present invention provides a voltage acquisition algorithm and system for apron unpowered equipment, which solves the problems of insufficient battery voltage monitoring accuracy and inaccurate fault detection caused by voltage divider resistor errors in apron unpowered equipment.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a voltage acquisition algorithm for apron unpowered equipment, the algorithm comprising the following steps:

[0007] Obtaining a known reference voltage through a standard voltage reference module, wherein the standard voltage reference module is capable of receiving a device battery voltage and generating a stable known reference voltage;

[0008] Digitally sampling the known reference voltage using an analog-to-digital converter to obtain a first digital value as a reference for subsequent calculations;

[0009] The analog-to-digital converter also digitally samples the voltage of the battery to be tested to obtain a second digital value for measuring the actual voltage value of the battery to be tested;

[0010] Based on the known reference voltage, the first digital quantity and the second digital quantity, a predetermined calculation formula is used to process and thereby calculate the precise value of the voltage of the battery to be measured. The calculation formula combines the proportional relationship between the voltage of the battery to be measured and the known reference voltage to ensure high accuracy of the calculation result.

[0011] Preferably, the step of obtaining a known reference voltage is completed by a standard voltage reference module, wherein the standard voltage reference module is capable of receiving the device battery voltage and generating a stable known reference voltage, and the standard voltage reference module includes a standard signal generator, a front-end capacitor and a back-end capacitor.

[0012] Preferably, the standard signal generator in the standard voltage reference module is used to generate a fixed voltage signal, and the front-end capacitor and the back-end capacitor are used for signal filtering and stable voltage output respectively to ensure the stability of the reference voltage.

[0013] Preferably, the digital sampling step is completed by an analog-to-digital converter (ADC), the input terminals of the analog-to-digital converter are respectively coupled to a known reference voltage and the voltage of the battery to be measured, and digital data is obtained by continuous sampling.

[0014] Preferably, the analog-to-digital converter ADC is a 12-bit analog-to-digital converter, which can provide high-precision digital sampling, ensuring the accuracy of the sampling process and the reliability of the battery voltage value.

[0015] Preferably, referring to the known reference voltage, the first digital quantity and the second digital quantity, processing is performed using a calculation formula, and the calculation step includes calculating the voltage of the battery to be measured using the following formula:

[0016]

[0017] Where V batt is the precise value of the battery voltage to be measured, is a known reference voltage, D batt is the digital value of the battery voltage to be measured, D known is a digital quantity of a known reference voltage.

[0018] Preferably, the calculation step is completed in a central processing and control module, which performs real-time calculation based on the first digital quantity, the second digital quantity and a known reference voltage, and outputs an accurate voltage of the battery to be measured.

[0019] Preferably, the voltage acquisition process further includes a signal buffering step, which is completed by a voltage follower circuit to ensure the stability of the known reference voltage and the voltage of the battery to be measured when inputted into the analog-to-digital converter.

[0020] Preferably, the voltage follower circuit includes an operational amplifier, an input resistor, an input capacitor, an output resistor, an output capacitor and a protection diode, for stabilizing the signal and protecting the analog-to-digital converter from overvoltage.

[0021] Voltage acquisition system for non-powered equipment on the apron, including:

[0022] Standard voltage reference module, used to provide a known reference voltage;

[0023] a signal buffer module, whose input terminal is configured to be selectively coupled to the output terminal of the standard voltage reference module or the voltage input terminal of the battery under test of the device;

[0024] a central processing and control module having a built-in analog-to-digital converter, wherein an input end of the analog-to-digital converter is coupled to an output end of the signal buffer module;

[0025] Wherein, the central processing and control module is configured to execute the voltage acquisition algorithm.

[0026] The present invention provides a voltage acquisition algorithm and system for non-powered equipment on an apron. It has the following beneficial effects:

[0027] 1. This invention utilizes a voltage acquisition algorithm based on reverse calculation from a known reference voltage to achieve highly accurate battery voltage measurement. Compared to existing methods that rely on voltage divider resistors and voltage division, this solution effectively avoids the influence of external voltage divider errors, ensuring accurate battery voltage monitoring. It is particularly stable and reliable in detecting voltage drops during peak hours.

[0028] 2. This invention utilizes a voltage acquisition solution that eliminates the need for external voltage divider circuits, saving system costs and reducing power consumption. Conventional voltage monitoring technologies often require additional circuitry for voltage distribution and signal conditioning. This invention eliminates these complex circuits through an optimized algorithm, making the voltage acquisition system simpler and more efficient, meeting low-power requirements.

[0029] 3. This invention utilizes a sampling method that samples the reference voltage input to the ADC channel, achieving enhanced long-term stability and maintainability. In existing technologies, battery voltage monitoring is often affected by external environmental changes and battery aging, leading to system instability. However, the technical solution of this invention maintains high accuracy and stability over a longer period of time, significantly reducing equipment maintenance frequency and the risk of failure. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a flow chart of the method of the present invention;

[0031] Figure 2 It is a system framework diagram of the present invention;

[0032] Figure 3 A circuit diagram of the present invention;

[0033] Figure 4 This is a voltage acquisition circuit diagram of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the present specification. 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 making creative efforts are within the scope of protection of the present invention.

[0035] Please see the attached Figure 1 -Attached Figure 4 , an embodiment of the present invention provides a voltage acquisition algorithm for apron non-powered equipment, including.

[0036] Step 1: Obtain a known reference voltage through a standard voltage reference module, wherein the standard voltage reference module is capable of receiving the device battery voltage and generating a stable known reference voltage:

[0037] In this embodiment, the goal of step 1 is to obtain a known reference voltage through the standard voltage reference module. This step is fundamental to the voltage acquisition algorithm and ensures that subsequent voltage measurements have an accurate baseline. The standard voltage reference module is capable of receiving the device battery voltage and generating a stable, known reference voltage. The standard voltage reference module primarily consists of a standard signal generator, front-end capacitors, and back-end capacitors. Its structural design ensures the stability and reliability of the output voltage.

[0038] The standard voltage reference module provides a known and stable voltage reference source, which serves as the baseline voltage for the entire voltage acquisition system. It receives the device's battery voltage input signal and generates a fixed voltage signal using a signal generator. This signal is then initially filtered by front-end capacitors to remove high-frequency noise. Subsequent capacitors further stabilize the signal, ensuring the accuracy and stability of the reference voltage and providing a reliable voltage reference for subsequent sampling.

[0039] The standard voltage reference module provides a stable voltage output even in complex operating environments, which is crucial for high-precision voltage measurements. By generating a fixed voltage signal, the standard signal generator prevents the influence of external voltage fluctuations on the sampling process, thereby ensuring measurement accuracy. The combined use of front-end and back-end capacitors effectively filters out noise and instability, further improving the stability of the voltage reference signal.

[0040] In this step, a standard voltage reference module is connected to an analog-to-digital converter (ADC). This known reference voltage is directly input to the ADC channel, serving as a baseline for subsequent digital sampling. The stability of this reference voltage directly determines the accuracy of subsequent measurements, avoiding measurement errors caused by an unstable reference voltage.

[0041] In this process, the output voltage of the standard voltage reference module can be expressed as:

[0042]

[0043] Among them, V ref is a stable known reference voltage, V in is the device battery voltage, C p is the front-end capacitance, C f For the subsequent capacitor.

[0044] This formula illustrates the effect of the front-end and back-end capacitor ratio on the output reference voltage. By properly designing the ratio of front-end and back-end capacitors, the output voltage stability can be precisely controlled, providing a high-precision reference voltage for the sampling process. This approach mitigates the effects of external environmental factors and battery voltage fluctuations on voltage sampling accuracy, ensuring the reliability of the entire voltage monitoring system.

[0045] Furthermore, the design of a standard voltage reference module enables the voltage acquisition system to maintain high stability under a variety of operating conditions. Equipment operating in complex environments such as airport ramps requires accurate voltage measurement to ensure proper functioning. Therefore, this invention, through its innovative voltage reference generation mechanism, significantly improves the accuracy and stability of battery voltage monitoring, providing a strong foundation for estimating the remaining battery capacity.

[0046] Step 2: Digitally sample the known reference voltage using an analog-to-digital converter to obtain a first digital value, which serves as a reference for subsequent calculations:

[0047] In this embodiment, the goal of step 2 is to digitally sample the known reference voltage using an analog-to-digital converter (ADC) to obtain a first digital value, which serves as a reference for subsequent calculations. In the voltage acquisition algorithm, digital sampling is a crucial step in converting analog signals into digital signals, a process that directly impacts the accuracy of subsequent voltage calculations. Therefore, precise implementation of this step is crucial to improving overall system accuracy.

[0048] The analog-to-digital converter (ADC) is used to convert a known reference voltage into a digital signal. This conversion process samples the known reference voltage and converts it into a digital representation with a certain resolution. This digital representation represents the discrete value of the input reference voltage within the sampling range of the ADC, which then serves as the reference input for subsequent voltage calculations. The input of the ADC is connected to the output of the standard voltage reference module, so it can acquire the stable reference voltage regulated and output by the standard voltage reference module.

[0049] In this process, the ADC samples the analog signal and outputs a digital signal with its sampling accuracy. The digital signal can be expressed as:

[0050]

[0051] Among them, D ref is the digital value of the known reference voltage, V ref is a known reference voltage, V FS is the full-scale voltage of the ADC, and n is the resolution of the ADC. Using this conversion formula, the ADC converts the analog voltage signal into a digital signal and generates a corresponding digital quantity.

[0052] Furthermore, in this embodiment, the analog-to-digital converter employs a relatively high resolution (e.g., 12 bits or higher), which directly impacts the accuracy of the digital quantity. The relatively high-resolution analog-to-digital converter can accurately capture minute changes in the reference voltage, providing a reliable benchmark for subsequent battery voltage calculations.

[0053] Furthermore, in this embodiment, the sampling frequency and accuracy parameters of the analog-to-digital converter are optimized to ensure high-precision sampling in a short time, ensuring that the digital value of the reference voltage accurately reflects the voltage status of the device battery. This step not only ensures the stability of the known reference voltage but also provides a solid foundation for subsequent battery voltage sampling.

[0054] The first digital value obtained in this step will be used as a reference value in the subsequent calculation process and compared with the digital sampling value of the battery to be tested, thereby achieving accurate battery voltage estimation.

[0055] In this embodiment, the calculation of the first digital quantity is based on the high-precision sampling result of the analog-to-digital converter, ensuring the reliability of this digital quantity as a reference for subsequent calculations. The innovation of this step lies in the fact that, through the combination of a standard voltage reference module and a high-resolution analog-to-digital converter, the errors caused by traditional voltage divider resistors are avoided, greatly improving the overall accuracy of the battery voltage monitoring system.

[0056] Step 3: The analog-to-digital converter further digitally samples the voltage of the battery to be tested to obtain a second digital value, which is used to measure the actual voltage value of the battery to be tested;

[0057] In this embodiment, the goal of step 3 is to digitally sample the voltage of the battery under test using an analog-to-digital converter (ADC) to obtain a second digital value, which is used to measure the actual voltage of the battery under test. This step is a critical step in battery voltage measurement and determines whether the system can accurately reflect the voltage status of the battery under test. Through this process, the voltage signal of the battery under test is converted into a digital signal for subsequent processing and analysis.

[0058] The ADC's input receives the voltage signal from the battery under test and converts it into a corresponding digital value. Similar to the digital sampling process for a known reference voltage, the ADC also performs the sampling of the battery voltage under test. By continuously sampling the battery voltage under test, the ADC obtains a discrete representation of the voltage signal, ensuring that the system can capture changes in the battery voltage in real time.

[0059] In this embodiment, the sampling accuracy and resolution of the analog-to-digital converter (ADC) significantly impact the accuracy of battery voltage measurements. Therefore, the selected ADC typically features a high resolution, such as 12 bits or higher, to ensure that even small changes in battery voltage can be accurately captured during sampling. A high-resolution ADC provides finer-grained digital quantities, thereby improving voltage measurement accuracy and accurately reflecting battery voltage changes.

[0060] Furthermore, after the voltage signal of the battery under test is sampled by the analog-to-digital converter, the resulting digital value is used as the input value for further comparison and calculation with the digital value of the known reference voltage. This process makes the battery voltage calculation more accurate and avoids the calculation errors caused by unstable or inaccurate reference voltages in traditional methods.

[0061] In this embodiment, step 3 ensures that the collected voltage signal can be converted into a digital quantity with high precision by digitally sampling the voltage of the battery to be tested. The innovation of this step lies in optimizing the design of the analog-to-digital converter, ensuring that even when the battery voltage changes slightly, voltage changes can still be accurately captured, thereby providing reliable data support for subsequent voltage calculations. In addition, this embodiment uses a higher-resolution analog-to-digital converter, which improves the accuracy of battery voltage monitoring while avoiding the information loss or errors that may be caused by low-resolution sampling.

[0062] Through this step, the digital voltage of the battery under test is accurately acquired, providing the necessary basic data for further battery voltage calculations. This design fully considers the real-time and high-precision requirements of the battery voltage measurement process, effectively improving the reliability and stability of the battery voltage monitoring system.

[0063] Step 4: Based on the known reference voltage, the first digital quantity, and the second digital quantity, a predetermined calculation formula is used to calculate the precise value of the voltage of the battery to be tested. The calculation formula combines the proportional relationship between the voltage of the battery to be tested and the known reference voltage to ensure high accuracy of the calculation result:

[0064] In this embodiment, the goal of step 4 is to calculate the precise voltage of the battery under test using a predetermined calculation formula based on the known reference voltage, the first digital quantity, and the second digital quantity. This step is a core part of the present invention. Through precise calculation, the actual voltage of the battery under test is accurately estimated, avoiding measurement errors caused by traditional methods.

[0065] First, a known reference voltage is input into an analog-to-digital converter (ADC) via a standard voltage reference module to obtain a first digital quantity. The voltage of the battery under test is then digitally sampled by the ADC to obtain a second digital quantity. To accurately calculate the voltage of the battery under test, the following calculation formula is used in this embodiment:

[0066]

[0067] Where V batt is the precise value of the battery voltage to be measured, is a known reference voltage, D batt is the digital value of the battery voltage to be measured, D known is a digital quantity of a known reference voltage.

[0068] In this formula, the measured battery voltage is calculated based on the proportional relationship between a known reference voltage and its digital output. This method allows the measured battery voltage to be accurately derived from the digital output of the analog-to-digital converter. The core idea of ​​this calculation formula is to combine the proportional relationship between the measured battery voltage and the known reference voltage, thereby ensuring high accuracy in the voltage calculation result.

[0069] This method uses the known reference voltage as a calculation basis, combined with the digital sample values ​​acquired by the analog-to-digital converter, to ensure high-precision battery voltage measurement. This method effectively avoids the accuracy loss caused by voltage divider errors in traditional methods.

[0070] The calculation formula of the present invention does not rely on the traditional voltage divider circuit, but is calculated based on the digital proportional relationship between the known reference voltage and the voltage of the battery to be measured, thereby further improving the reliability and stability of the system.

[0071] The proportional relationship in the formula ensures the accuracy of the calculation result. Through this calculation formula, the actual change in battery voltage can be combined with the change in the known reference voltage, eliminating measurement errors caused by external environment or system noise, and further improving the accuracy of battery voltage measurement.

[0072] Furthermore, to ensure long-term stability and adaptability to diverse operating environments, the calculation process in this embodiment can be performed in real time. This means that the battery voltage can be continuously monitored and calculated during device operation, allowing for timely detection of changes in battery voltage and potential problems, ensuring proper device operation.

[0073] In step 4 of this embodiment, precise calculations are performed using the proportional relationship between a known reference voltage and the voltage of the battery to be measured. This innovative design significantly improves the accuracy of battery voltage measurement while avoiding the errors introduced by traditional voltage divider circuits. This calculation method enables real-time monitoring and accurate measurement of battery voltage, enabling the present invention to operate reliably in unpowered equipment on the apron. The use of this calculation formula not only simplifies the design but also ensures highly accurate battery voltage estimation, providing reliable data support for subsequent battery health assessments.

[0074] Please see the attached Figure 1 -Attached Figure 4 The embodiment of the present invention provides a voltage acquisition system for non-powered equipment on an apron, including:

[0075] Standard voltage reference module, used to provide a known reference voltage;

[0076] a signal buffer module, whose input terminal is configured to be selectively coupled to the output terminal of the standard voltage reference module or the voltage input terminal of the battery under test of the device;

[0077] a central processing and control module having a built-in analog-to-digital converter, wherein an input end of the analog-to-digital converter is coupled to an output end of the signal buffer module;

[0078] Wherein, the central processing and control module is configured to execute the voltage acquisition algorithm.

[0079] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A voltage acquisition algorithm for non-powered equipment on an apron, characterized in that: The algorithm consists of the following steps: Obtaining a known reference voltage through a standard voltage reference module, wherein the standard voltage reference module is capable of receiving a device battery voltage and generating a stable known reference voltage; Digitally sampling the known reference voltage using an analog-to-digital converter to obtain a first digital value as a reference for subsequent calculations; The analog-to-digital converter also digitally samples the voltage of the battery to be tested to obtain a second digital value for measuring the actual voltage value of the battery to be tested; Based on the known reference voltage, the first digital quantity and the second digital quantity, a predetermined calculation formula is used to process and thereby calculate the precise value of the voltage of the battery to be measured. The calculation formula combines the proportional relationship between the voltage of the battery to be measured and the known reference voltage to ensure high accuracy of the calculation result.

2. The voltage acquisition algorithm for apron non-powered equipment according to claim 1 is characterized in that: The step of obtaining a known reference voltage is completed by a standard voltage reference module, wherein the standard voltage reference module is capable of receiving the device battery voltage and generating a stable known reference voltage, and the standard voltage reference module includes a standard signal generator, a front-end capacitor and a back-end capacitor.

3. The voltage acquisition algorithm for apron non-powered equipment according to claim 1 is characterized in that: The standard signal generator in the standard voltage reference module is used to generate a fixed voltage signal, and the front-end capacitor and the back-end capacitor are used for signal filtering and stable voltage output respectively to ensure the stability of the reference voltage.

4. The voltage acquisition algorithm for apron non-powered equipment according to claim 1 is characterized in that: The digital sampling step is completed by an analog-to-digital converter (ADC). The input terminals of the ADC are respectively coupled to a known reference voltage and the voltage of the battery to be measured, and digital data is obtained by continuous sampling.

5. The voltage acquisition algorithm for apron non-powered equipment according to claim 1 is characterized in that: The analog-to-digital converter ADC is a 12-bit analog-to-digital converter that can provide high-precision digital sampling, ensuring the accuracy during the sampling process and the reliability of the battery voltage value.

6. The voltage acquisition algorithm for apron non-powered equipment according to claim 1 is characterized in that: Referring to the known reference voltage, the first digital quantity and the second digital quantity, a calculation formula is used for processing. The calculation step includes calculating the voltage of the battery to be measured using the following formula: Where V batt is the precise value of the battery voltage to be measured, is a known reference voltage, D batt is the digital value of the battery voltage to be measured, D known is a digital quantity of a known reference voltage.

7. The voltage acquisition algorithm for apron non-powered equipment according to claim 1 is characterized in that: The calculation step is completed in the central processing and control module, which performs real-time calculation based on the first digital quantity, the second digital quantity and the known reference voltage, and outputs an accurate voltage of the battery to be tested.

8. The voltage acquisition algorithm for apron non-powered equipment according to claim 1 is characterized in that: The voltage acquisition process further includes a signal buffering step, which is completed by a voltage follower circuit to ensure the stability of the known reference voltage and the battery voltage to be measured when inputted into the analog-to-digital converter.

9. The voltage acquisition algorithm for apron non-powered equipment according to claim 1 is characterized in that: The voltage follower circuit includes an operational amplifier, an input resistor, an input capacitor, an output resistor, an output capacitor and a protection diode, and is used to stabilize the signal and protect the analog-to-digital converter from overvoltage.

10. A voltage acquisition system for apron non-powered equipment, a voltage acquisition algorithm for apron non-powered equipment according to any one of claims 1 to 9, characterized in that: include: Standard voltage reference module, used to provide a known reference voltage; a signal buffer module, whose input terminal is configured to be selectively coupled to the output terminal of the standard voltage reference module or the voltage input terminal of the battery under test of the device; a central processing and control module having a built-in analog-to-digital converter, wherein an input end of the analog-to-digital converter is coupled to an output end of the signal buffer module; Wherein, the central processing and control module is configured to execute the voltage acquisition algorithm.

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