Dynamic brake braking force detection system and method and computer program product

Abstract

The invention provides a braking force detection system and method for a dynamic brake and a computer program product. The system is used for the railway vehicle and comprises a brake pressure sensor module, a data acquisition module, a data processing module, a braking force calculation module, a braking force evaluation module, a control module, a display module and a communication module, and a brake pressure sensor is used for monitoring pressure data of a braking part on the railway vehicle in real time; the data acquisition module is used for receiving monitored pressure data; the data processing module is used for processing the received pressure data; the braking force calculation module is used for calculating the braking force according to the processed pressure data; the braking force evaluation module is used for evaluating whether the magnitude of the braking force meets a preset standard or not; the control module is used for adjusting pressure of the brake according to the evaluation result; the display module is used for displaying the real-time data and the evaluation result of the braking force to an operator; and the communication module is used for realizing data exchange between the system and a railway vehicle control center.

Description

Technical Field

[0001] The present invention relates to the technical field of rail vehicle braking systems, and in particular to a braking force detection system and method for a power brake and a computer program product. Background Art

[0002] In modern rail transit systems, the braking system of rail vehicles is a key component to ensure driving safety. Traditional rail vehicle braking systems usually use mechanical or electronically controlled braking methods, and the performance of these braking systems depends largely on the braking force of the brakes. Accurate detection and control of braking force is essential to ensure the safety and stability of vehicles under different operating conditions.

[0003] Traditional rail vehicle braking systems usually use mechanical or electronically controlled braking methods, and the performance of these braking systems depends largely on the braking force of the brakes. Traditional braking force detection methods rely on simple mechanical or manual measurements or primary sensor feedback. Existing systems fail to fully consider the impact of environmental factors on braking force, such as temperature changes that may cause unstable brake performance.

[0004] The existing braking force detection methods mainly have the following problems:

[0005] (1) Insufficient accuracy: Traditional braking force detection methods often rely on simple mechanical measurements or primary sensor feedback. These methods have limitations in accuracy and cannot meet the needs of high-precision braking control.

[0006] (2) Inefficiency: The manual method of measuring braking force is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring and rapid response in actual operation;

[0007] (3) Poor environmental adaptability: Many existing systems fail to fully consider the impact of environmental factors on braking force. For example, temperature changes may cause unstable brake performance. Summary of the invention

[0008] According to the technical problem raised above, a braking force detection system for a power brake of a rail vehicle is provided. The present invention improves the measurement accuracy of the braking force by adopting high-precision sensors and advanced data processing technology; by real-time monitoring of the pressure change of the brake, and combining the temperature compensation factor and historical performance data, the braking force is accurately calculated, thereby ensuring the performance and safety of the braking system.

[0009] The technical means adopted by the present invention are as follows:

[0010] A power brake braking force detection system, used for rail vehicles, comprises: a brake pressure sensor module, a data acquisition module, a data processing module, a braking force calculation module, a braking force evaluation module, a control module, a display module and a communication module, wherein:

[0011] The brake pressure sensor module is connected to the brake components on the rail vehicle and is used to monitor the pressure data of the brake components in real time;

[0012] The data acquisition module is connected to the brake pressure sensor module and is used to receive the pressure data monitored in real time by the brake pressure sensor module;

[0013] The data processing module is connected to the data acquisition module and is used to process the pressure data received by the data acquisition module;

[0014] The braking force calculation module is connected to the data processing module and is used to calculate the magnitude of the braking force according to the pressure data processed by the data processing module;

[0015] The braking force evaluation module is connected to the braking force calculation module and is used to evaluate whether the magnitude of the braking force calculated by the braking force calculation module meets the preset standard;

[0016] The control module is connected to the braking force evaluation module and is used to adjust the brake pressure according to the evaluation result of the braking force evaluation module;

[0017] The display module is connected to the control module and is used to display the real-time data and evaluation results of the braking force to the operator;

[0018] The communication module is used to realize data exchange between the brake pressure sensor module, the data acquisition module, the data processing module, the braking force calculation module, the braking force evaluation module, the control module, the display module and the rail vehicle control center.

[0019] Furthermore, the data acquisition module includes a brake pressure sensor module and a temperature sensor. The brake pressure sensor module is used to monitor the pressure parameters of the brake components on the rail vehicle in real time. The temperature sensor is used to monitor the temperature parameters of the brake components on the rail vehicle in real time.

[0020] Furthermore, the data processing module includes a filter and an algorithm library, wherein the filter is used to eliminate noise, and the algorithm library is used to improve the accuracy of data processing.

[0021] Furthermore, in the braking force calculation module:

[0022] The braking force is calculated based on the pressure data processed by the data processing module. The calculation formula is as follows:

[0023] F=k·P·(1+α·T c )-b,

[0024] Where F is the braking force; k is the braking coefficient; P is the braking pressure; α is the temperature coefficient, which is used to adjust the braking force calculation according to temperature changes; T c represents the difference between the current ambient temperature and the standard temperature; b represents the system error correction value.

[0025] Further, in the braking force evaluation module:

[0026] Evaluate whether the braking force calculated by the braking force calculation module meets the preset standard. The evaluation process includes:

[0027] Set safety thresholds;

[0028] The calculated braking force is compared with the preset safety threshold. The comparison process is as follows:

[0029] If the calculated braking force is below the safety threshold, the control module adjusts the brake pressure by evaluating whether the braking force meets the preset standard according to the following logic:

[0030] If F>F max , it means that the brake pressure is too high and needs to be reduced;

[0031] If F min ≤F≤F max , it means the braking force is within the safe range; there is no need to adjust the brake pressure;

[0032] If F < F min , it means that the brake pressure is too low and the brake pressure needs to be increased.

[0033] Furthermore, in the control module:

[0034] According to the braking force evaluation results, the brake pressure is automatically adjusted. The adjustment formula is as follows:

[0035] P new =P+Δp,

[0036] Among them, P new Indicates the adjusted brake pressure; ΔP indicates the pressure adjustment amount, R t represents the system response time, ΔF represents the braking force deviation; β represents the system response coefficient.

[0037] Furthermore, the control module determines the braking force deviation ΔF and the system response time R tAdjust the brake pressure to achieve a quick response; the system response factor β is used to adjust the pressure adjustment amount according to the system characteristics.

[0038] Furthermore, the control module further includes:

[0039] The adjustment amount is calculated based on the difference between the braking force and the preset safety threshold. The calculation formula is as follows:

[0040] ΔF=FF target ,

[0041] Among them, F target Indicates the target braking force;

[0042] The adjustment amount ΔP is calculated according to the calculated adjustment amount ΔF and the preset proportional coefficient c, and the calculation formula is as follows:

[0043] ΔP=c·ΔF+γ·ΔP hist

[0044] Where c represents the preset proportionality coefficient; γ represents the number of repeated trips; ΔP hist Represents the historical adjustment amount;

[0045] Furthermore, in the display module:

[0046] The display module calculates the changing trend of the braking force. The calculation formula is as follows:

[0047]

[0048] Where T represents the rate of change of braking force, F prev represents the braking force of the last measurement, and Δt represents the time interval between two measurements;

[0049] When displaying the braking force change trend, the display module calculates the weighted average value T of the change rate avg , the calculation formula is as follows:

[0050]

[0051] Among them, w i represents the weight of the ith measurement, determined according to the time interval or other factors, T i Represents the braking force change rate of the ith measurement.

[0052] Furthermore, the braking force detection system also includes a self-diagnosis module, which is connected to the control module and is used to monitor the internal state of the braking force detection system and predict potential faults.

[0053] Furthermore, in the self-diagnosis module:

[0054] Calculate the standard deviation of the braking force using the following formula:

[0055]

[0056] Where R represents the standard deviation of the braking force; F i represents the braking force measured at the i-th time; It represents the average braking force of n measurements, where n represents the number of measurements.

[0057] Predict the failure probability of the braking force detection system. The prediction formula is as follows:

[0058] P f =1-exp(-λ·t)

[0059] Among them, λ represents the failure rate parameter, that is, the average number of failures per unit time; t represents the time since the last failure.

[0060] Furthermore, the braking force detection system further includes a braking force prediction module, which is connected to the control module and is used to predict the future braking force F pred .

[0061] Furthermore, in the braking force prediction module:

[0062] Predicted future braking force F pred The prediction formula is as follows:

[0063] F pred =F+μ·(F prev -F)+ε

[0064] Among them, μ represents the prediction coefficient, which is used to adjust the prediction value according to the historical change trend; ε represents the prediction error term, including random variables or system noise.

[0065] The braking force detection system also includes a feedback correction module, which is connected to the control module. The control module is used to adjust data in real time and optimize the algorithm parameters of the braking force calculation module online to adapt to changes in the braking performance of the rail vehicle under different operating conditions, thereby ensuring the accuracy of braking force detection and the adaptability of the system.

[0066] The present invention also provides a power brake braking force detection method implemented based on the power brake braking force detection system, comprising:

[0067] S1, real-time monitoring of the pressure data of brake components;

[0068] S2, processing the pressure data of the brake components monitored in real time;

[0069] S3, calculating the magnitude of the braking force according to the processed pressure data;

[0070] S4. According to the calculated braking force, evaluating whether the braking force meets a preset standard, and obtaining an evaluation result that does not meet the preset standard;

[0071] S5. adjusting the brake pressure according to the evaluation result that does not meet the preset standard;

[0072] S6. Display real-time data and evaluation results of braking force to the operator.

[0073] The present invention also provides a computer program product, which is stored on a non-transitory computer-readable medium, and includes an algorithm for implementing the dynamic brake braking force detection method, as follows:

[0074] Real-time acquisition and processing algorithm of brake pressure data;

[0075] Real-time calculation and evaluation algorithm of braking force;

[0076] Automatic adjustment algorithm for brake pressure;

[0077] Real-time display algorithm of braking force change trend;

[0078] System self-diagnosis and fault prediction algorithms;

[0079] and braking force prediction algorithms.

[0080] Furthermore, the computer program product also provides a user-defined interface, allowing the user to customize the parameter settings of the braking force detection and evaluation according to specific application scenarios and requirements.

[0081] Compared with the prior art, the present invention has the following advantages:

[0082] 1. The invention provides a power brake force detection system, which significantly improves the measurement accuracy of the braking force by adopting high-precision sensors and advanced data processing technology. The system can monitor the pressure changes of the brake in real time, and accurately calculate the braking force by combining the temperature compensation factor and historical performance data, thereby ensuring the performance and safety of the rail vehicle brake.

[0083] 2. Compared with traditional manual measurement and primary sensor feedback, the power brake braking force detection system provided by the present invention realizes intelligent evaluation and automatic adjustment of braking force. It can automatically evaluate whether the braking force meets safety standards based on real-time data and automatically adjust the brake pressure when necessary, reducing manual intervention and improving the efficiency and response speed of braking control.

[0084] 3. The power brake force detection system provided by the present invention has a self-diagnosis function, which can monitor the internal state of the system in real time, predict and respond to potential faults in a timely manner.

[0085] 4. The power brake force detection system provided by the present invention adopts modular design and supports multiple communication protocols, which enhances the reliability and stability of data exchange. These features enable the system to operate stably under various environmental conditions, extend the maintenance cycle, and reduce operating costs.

[0086] Based on the above reasons, the present invention can be widely promoted in the fields of rail vehicle braking systems and the like. BRIEF DESCRIPTION OF THE DRAWINGS

[0087] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0088] Figure 1 This is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0089] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0090] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0091] like Figure 1As shown, the present invention provides a power brake braking force detection system for rail vehicles, comprising: a brake pressure sensor module, a data acquisition module, a data processing module, a braking force calculation module, a braking force evaluation module, a control module, a display module and a communication module, wherein:

[0092] The brake pressure sensor module is connected to the brake components on the rail vehicle and is used to monitor the pressure data of the brake components in real time;

[0093] The data acquisition module is connected to the brake pressure sensor module and is used to receive the pressure data monitored in real time by the brake pressure sensor module;

[0094] The data processing module is connected to the data acquisition module and is used to process the pressure data received by the data acquisition module;

[0095] The braking force calculation module is connected to the data processing module and is used to calculate the magnitude of the braking force according to the pressure data processed by the data processing module;

[0096] The braking force evaluation module is connected to the braking force calculation module and is used to evaluate whether the magnitude of the braking force calculated by the braking force calculation module meets the preset standard;

[0097] The control module is connected to the braking force evaluation module and is used to adjust the brake pressure according to the evaluation result of the braking force evaluation module;

[0098] The display module is connected to the control module and is used to display the real-time data and evaluation results of the braking force to the operator;

[0099] The communication module is used to realize data exchange between the brake pressure sensor module, the data acquisition module, the data processing module, the braking force calculation module, the braking force evaluation module, the control module, the display module and the rail vehicle control center;

[0100] The power brake force detection system provided in this embodiment further includes a power module for providing a stable power supply for the entire system. The power module includes a power management circuit that can protect the system from damage in the event of voltage fluctuations or power interruptions.

[0101] The power brake force detection system provided in this embodiment also includes a safety protection module, which ensures the safe operation of the system under abnormal conditions. The safety protection module includes overload protection, short circuit protection and emergency shutdown functions to prevent damage to personnel and equipment.

[0102] In specific implementation, as a preferred embodiment of the present invention, the brake pressure sensor module is composed of a plurality of high-precision pressure sensors, which are distributed in the braking system of a rail vehicle and are used to monitor the brake pressure in real time. The plurality of high-precision pressure sensors can adapt to different working environments, such as temperature and humidity changes, and have high resolution and fast response time.

[0103] In specific implementation, as a preferred embodiment of the present invention, the data acquisition module is responsible for receiving the analog signal from the brake pressure sensor module and converting it into a digital signal through an analog-to-digital converter (ADC). The data acquisition module is also responsible for synchronizing the data of different sensors and ensuring the timing accuracy of the data;

[0104] In specific implementation, as a preferred embodiment of the present invention, the data processing module includes a filter and an algorithm library, wherein the filter is used to eliminate noise, and the algorithm library is used to improve the accuracy of data processing. In this embodiment, the data processing module further processes the digital signal provided by the data acquisition module, including filtering, denoising, signal amplification, etc., to improve data quality. In addition, the data processing module is also responsible for digital processing of data, such as quantization and encoding of digital signals;

[0105] In specific implementation, as a preferred embodiment of the present invention, in the braking force calculation module:

[0106] The braking force is calculated based on the pressure data processed by the data processing module. The calculation formula is as follows:

[0107] F=k·P·(1+α·T c )-b,

[0108] Where F is the braking force; k is the braking coefficient; P is the braking pressure; α is the temperature coefficient, which is used to adjust the braking force calculation according to temperature changes; T c It represents the difference between the current ambient temperature and the standard temperature, so that the calculation of the braking force can adapt to the changes in ambient temperature and improve the reliability of the braking system under different climatic conditions; b represents the system error correction value.

[0109] In this embodiment, the braking force calculation module calculates the braking force using a mathematical model and an algorithm based on the brake pressure and known physical parameters. The braking force calculation module uses advanced algorithms, such as Kalman filtering or neural networks, to improve calculation accuracy and robustness.

[0110] In specific implementation, as a preferred embodiment of the present invention, in the braking force evaluation module:

[0111] Evaluate whether the braking force calculated by the braking force calculation module meets the preset standard. The evaluation process includes:

[0112] Set safety thresholds;

[0113] The calculated braking force is compared with the preset safety threshold. The comparison process is as follows:

[0114] If the calculated braking force is below the safety threshold, the control module adjusts the brake pressure by evaluating whether the braking force meets the preset standard according to the following logic:

[0115] If F>F max , it means that the brake pressure is too high and needs to be reduced;

[0116] If F min ≤F≤F max , it means the braking force is within the safe range; there is no need to adjust the brake pressure;

[0117] If F < F min , it means that the brake pressure is too low and the brake pressure needs to be increased.

[0118] In this embodiment, the braking force evaluation module not only compares the calculated braking force with the preset safety threshold, but also uses an advanced logic evaluation algorithm that comprehensively considers vehicle speed, load and other operating conditions to provide a more comprehensive safety evaluation. If the braking force is lower than the safety threshold, the system will automatically trigger the control module to adjust the brake pressure to ensure that it is quickly restored to a safe range, thereby enhancing the safety and responsiveness of the system. The braking force evaluation module also considers vehicle speed, load and other operating conditions to provide a more comprehensive safety evaluation.

[0119] In specific implementation, as a preferred embodiment of the present invention, in the control module:

[0120] According to the braking force evaluation results, the brake pressure is automatically adjusted. The adjustment formula is as follows:

[0121] P new =P+Δp,

[0122] Among them, P new Indicates the adjusted brake pressure; ΔP indicates the pressure adjustment amount, R t represents the system response time, ΔF represents the braking force deviation; β represents the system response coefficient.

[0123] In specific implementation, as a preferred embodiment of the present invention, the control module adopts an advanced adaptive adjustment strategy based on the braking force deviation ΔF and the system response time R tThe brake pressure is adjusted to achieve a quick response; the system response coefficient β is used to adjust the pressure adjustment amount according to the system characteristics, ensuring that the adjustment of the brake pressure is both rapid and accurate, thereby improving the stability and control efficiency of the system. In this embodiment, the control module uses an advanced control algorithm, such as PID control or adaptive control, to achieve accurate pressure regulation.

[0124] In specific implementation, as a preferred embodiment of the present invention, the control module further includes:

[0125] The adjustment amount is calculated based on the difference between the braking force and the preset safety threshold. The calculation formula is as follows:

[0126] ΔF=FF target ,

[0127] Among them, F target Indicates the target braking force;

[0128] The adjustment amount ΔP is calculated according to the calculated adjustment amount ΔF and the preset proportional coefficient c, and the calculation formula is as follows:

[0129] ΔP=c·ΔF+γ·ΔP hist

[0130] Where c represents the preset proportionality coefficient; γ represents the number of repeated trips; ΔP hist Represents the historical adjustment amount;

[0131] In this embodiment, the calculation of the adjustment amount ΔP takes into account the historical performance data of the system to achieve more precise adjustment. An intelligent learning mechanism may also be set up to continuously optimize the calculation model of the adjustment amount by collecting and analyzing the historical data of the braking force. The intelligent learning algorithm can identify the long-term trends and short-term fluctuations of the braking performance, and automatically adjust the preset safety threshold and proportional coefficient c, so that the adjustment of the brake pressure is more precise, reducing the safety risks caused by changes in braking performance.

[0132] In specific implementation, as a preferred embodiment of the present invention, in the display module:

[0133] The display module calculates the changing trend of the braking force. The calculation formula is as follows:

[0134]

[0135] Where T represents the rate of change of braking force, F prev represents the braking force of the last measurement, and Δt represents the time interval between two measurements;

[0136] When displaying the braking force change trend, the display module calculates the weighted average value T of the change rate. avg , the calculation formula is as follows:

[0137]

[0138] Among them, w i Indicates the weight of the i-th measurement, which is determined according to the time interval or other factors, making the displayed data more accurate and representative. i Represents the braking force change rate of the ith measurement.

[0139] In this embodiment, the display module is designed to be highly user-friendly and can intuitively display real-time data and evaluation results of the braking force to the operator in the form of a graphical interface or digital display. The module further uses a weighted average algorithm to calculate and display the changing trend of the braking force.

[0140] In specific implementation, as a preferred embodiment of the present invention, the braking force detection system further includes a self-diagnosis module, which is connected to the control module and is used to monitor the internal state of the braking force detection system and predict potential faults.

[0141] In specific implementation, as a preferred embodiment of the present invention, in the self-diagnosis module:

[0142] Calculate the standard deviation of the braking force using the following formula:

[0143]

[0144] Where R represents the standard deviation of the braking force; F i represents the braking force measured at the i-th time; It represents the average braking force of n measurements, where n represents the number of measurements.

[0145] Predict the failure probability of the braking force detection system. The prediction formula is as follows:

[0146] P f =1-exp(-λ·t)

[0147] Among them, λ represents the failure rate parameter, that is, the average number of failures per unit time; t represents the time since the last failure.

[0148] In this embodiment, the self-diagnosis module detects potential faults and anomalies in real time by monitoring the internal state and performance parameters of the system. The algorithm formula used by this module includes not only the calculation of the standard deviation R of the braking force, but also the application of the failure rate parameter λ to predict the system failure probability P f ,This prediction mechanism enables the system to identify potential problems in advance and take ,preventive measures, thus improving the reliability and maintenance ,efficiency of the system.

[0149] In specific implementation, as a preferred embodiment of the present invention, the braking force detection system further includes a braking force prediction module, which is connected to the control module and is used to predict the future braking force F. pred .

[0150] In specific implementation, as a preferred embodiment of the present invention, in the braking force prediction module:

[0151] Predicted future braking force F pred The prediction formula is as follows:

[0152] F pred =F+μ·(F prev -F)+ε

[0153] Among them, μ represents the prediction coefficient, which is used to adjust the prediction value according to the historical change trend; ε represents the prediction error term, including random variables or system noise.

[0154] In specific implementation, as a preferred embodiment of the present invention, the braking force detection system also includes a feedback correction module, which is connected to the control module. The control module is used to adjust data in real time and optimize the algorithm parameters of the braking force calculation module online to adapt to changes in the braking performance of the rail vehicle under different operating conditions, thereby ensuring the accuracy of the braking force detection and the adaptability of the system.

[0155] The embodiment of the present invention further provides a method for detecting the braking force of a power brake implemented based on the braking force detection system of the power brake, comprising:

[0156] S1, real-time monitoring of the pressure data of the brake components;

[0157] S2, processing the pressure data of the brake components monitored in real time;

[0158] S3, calculating the magnitude of the braking force according to the processed pressure data;

[0159] S4. According to the calculated braking force, evaluating whether the braking force meets a preset standard, and obtaining an evaluation result that does not meet the preset standard;

[0160] S5. adjusting the brake pressure according to the evaluation result that does not meet the preset standard;

[0161] S6. Display real-time data and evaluation results of braking force to the operator.

[0162] The embodiment of the present invention further provides a computer program product, which is stored on a non-transitory computer-readable medium and includes an algorithm for implementing the dynamic brake braking force detection method, as follows:

[0163] Real-time acquisition and processing algorithm of brake pressure data;

[0164] Real-time calculation and evaluation algorithm of braking force;

[0165] Automatic adjustment algorithm for brake pressure;

[0166] Real-time display algorithm of braking force change trend;

[0167] System self-diagnosis and fault prediction algorithms;

[0168] and braking force prediction algorithms.

[0169] In this embodiment, the computer program product not only realizes the basic functions of real-time acquisition, calculation, evaluation and adjustment of braking force, but also integrates advanced data analysis and machine learning algorithms. These algorithms can conduct in-depth analysis of a large amount of braking force data and identify the performance characteristics and potential failure modes of the braking system. Through continuous learning and optimization, the program product can predict the changing trend of braking force and warn of possible braking problems in advance, thereby providing more comprehensive protection for the operation safety of rail vehicles.

[0170] In specific implementation, as a preferred embodiment of the present invention, the computer program product also provides a user-defined interface, allowing the user to customize the parameter settings of the braking force detection and evaluation according to specific application scenarios and requirements. This flexibility enables the braking force detection system of the present invention to be applicable to various types of rail vehicles, and has high versatility and scalability.

[0171] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0172] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0173] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0174] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0175] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A power brake force detection system, characterized in that: For rail vehicles, comprising: a brake pressure sensor module, a data acquisition module, a data processing module, a braking force calculation module, a braking force evaluation module, a control module, a display module and a communication module, wherein: The brake pressure sensor module is connected to the brake components on the rail vehicle and is used to monitor the pressure data of the brake components in real time; The data acquisition module is connected to the brake pressure sensor module and is used to receive the pressure data monitored in real time by the brake pressure sensor module; The data processing module is connected to the data acquisition module and is used to process the pressure data received by the data acquisition module; The braking force calculation module is connected to the data processing module and is used to calculate the magnitude of the braking force according to the pressure data processed by the data processing module; The braking force evaluation module is connected to the braking force calculation module and is used to evaluate whether the magnitude of the braking force calculated by the braking force calculation module meets the preset standard; The control module is connected to the braking force evaluation module and is used to adjust the brake pressure according to the evaluation result of the braking force evaluation module; The display module is connected to the control module and is used to display the real-time data and evaluation results of the braking force to the operator; The communication module is used to realize data exchange between the brake pressure sensor module, the data acquisition module, the data processing module, the braking force calculation module, the braking force evaluation module, the control module, the display module and the rail vehicle control center.

2. A power brake force detection system according to claim 1, characterized in that: The brake pressure sensor module is composed of multiple high-precision pressure sensors, which are distributed in the braking system of the rail vehicle and are used to monitor the brake pressure in real time. The multiple high-precision pressure sensors can adapt to different working environments, such as temperature and humidity changes, and have high resolution and fast response time.

3. A power brake force detection system according to claim 1, characterized in that: The data processing module includes a filter and an algorithm library, wherein the filter is used to eliminate noise and the algorithm library is used to improve the accuracy of data processing.

4. A power brake force detection system according to claim 1, characterized in that: In the braking force calculation module: The braking force is calculated based on the pressure data processed by the data processing module. The calculation formula is as follows: F=k·P·(1+α·T c )-b, Where F is the braking force; k is the braking coefficient; P is the braking pressure; α is the temperature coefficient, which is used to adjust the braking force calculation according to temperature changes; T c represents the difference between the current ambient temperature and the standard temperature; b represents the system error correction value.

5. A power brake force detection system according to claim 1, characterized in that: In the braking force evaluation module: Evaluate whether the braking force calculated by the braking force calculation module meets the preset standard. The evaluation process includes: Set safety thresholds; The calculated braking force is compared with the preset safety threshold. The comparison process is as follows: If the calculated braking force is below the safety threshold, the control module adjusts the brake pressure by evaluating whether the braking force meets the preset standard according to the following logic: If F>F max , it means that the brake pressure is too high and needs to be reduced; If F min ≤F≤F max , it means the braking force is within the safe range; there is no need to adjust the brake pressure; If F < F min , it means that the brake pressure is too low and the brake pressure needs to be increased.

6. A power brake force detection system according to claim 1, characterized in that: In the control module: According to the braking force evaluation results, the brake pressure is automatically adjusted. The adjustment formula is as follows: P new =P+Δp, Among them, P new Indicates the adjusted brake pressure; ΔP indicates the pressure adjustment amount, R t represents the system response time, ΔF represents the braking force deviation; β represents the system response coefficient.

7. A power brake force detection system according to claim 6, characterized in that: The control module is based on the braking force deviation ΔF and the system response time R t Adjust the brake pressure to achieve a quick response; the system response factor β is used to adjust the pressure adjustment amount according to the system characteristics.

8. A power brake force detection system according to claim 6, characterized in that: The control module further includes: The adjustment amount is calculated based on the difference between the braking force and the preset safety threshold. The calculation formula is as follows: ΔF=F-F target , Among them, F target Indicates the target braking force; The adjustment amount ΔP is calculated according to the calculated adjustment amount ΔF and the preset proportional coefficient c, and the calculation formula is as follows: ΔP=c·ΔF+γ·ΔP hist Where c represents the preset proportionality coefficient; γ represents the number of repeated trips; ΔP hist Represents the historical adjustment amount.

9. A power brake force detection system according to claim 1, characterized in that: In the display module: The display module calculates the changing trend of the braking force. The calculation formula is as follows: Where T represents the rate of change of braking force, F prev represents the braking force of the last measurement, and Δt represents the time interval between two measurements; When displaying the braking force change trend, the display module calculates the weighted average value T of the change rate avg , the calculation formula is as follows: Among them, w i represents the weight of the ith measurement, determined according to the time interval or other factors, T i Represents the braking force change rate of the ith measurement.

10. A power brake force detection system according to claim 1, characterized in that: The braking force detection system also includes a self-diagnosis module, which is connected to the control module and is used to monitor the internal state of the braking force detection system and predict potential faults.

11. A power brake force detection system according to claim 10, characterized in that: In the self-diagnosis module: Calculate the standard deviation of the braking force using the following formula: Where R represents the standard deviation of the braking force; F i represents the braking force measured for the i-th time; F represents the average braking force measured for n times, where n represents the number of measurements. Predict the failure probability of the braking force detection system. The prediction formula is as follows: P f =1-exp(-λ·t) Among them, λ represents the failure rate parameter, that is, the average number of failures per unit time; t represents the time since the last failure.

12. A power brake force detection system according to claim 1, characterized in that: The braking force detection system further includes a braking force prediction module, which is connected to the control module and is used to predict the future braking force F pred .

13. A power brake force detection system according to claim 1, characterized in that: In the braking force prediction module: Predicted future braking force F pred The prediction formula is as follows: F pred =F+μ·(F prev -F)+e Among them, μ represents the prediction coefficient, which is used to adjust the prediction value according to the historical change trend; ε represents the prediction error term, including random variables or system noise.

14. A power brake force detection system according to claim 1, characterized in that: The braking force detection system also includes a feedback correction module, which is connected to the control module. The control module is used to adjust data in real time and optimize the algorithm parameters of the braking force calculation module online to adapt to changes in the braking performance of the rail vehicle under different operating conditions, thereby ensuring the accuracy of braking force detection and the adaptability of the system.

15. A method for detecting the braking force of a power brake implemented by the braking force detection system of a power brake according to any one of claims 1 to 14, characterized in that: include: S1, real-time monitoring of the pressure data of the brake components; S2, processing the pressure data of the brake components monitored in real time; S3, calculating the magnitude of the braking force according to the processed pressure data; S4. According to the calculated braking force, evaluating whether the braking force meets a preset standard, and obtaining an evaluation result that does not meet the preset standard; S5. adjusting the brake pressure according to the evaluation result that does not meet the preset standard; S6. Display real-time data and evaluation results of braking force to the operator.

16. A computer program product stored on a non-transitory computer readable medium, characterized in that The algorithm for implementing the method for detecting the braking force of a power brake according to claim 15 is as follows: Real-time acquisition and processing algorithm of brake pressure data; Real-time calculation and evaluation algorithm of braking force; Automatic adjustment algorithm for brake pressure; Real-time display algorithm for braking force change trend; System self-diagnosis and fault prediction algorithms; and braking force prediction algorithms.

17. A computer program product according to claim 16, characterized in that: The computer program product also provides a user-defined interface, allowing the user to customize the parameter settings of braking force detection and evaluation according to specific application scenarios and requirements.

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