Rail transit signal equipment quality evaluation method and system

Abstract

The invention discloses a rail transit signal equipment quality evaluation method and system, and relates to the technical field of rail transit signal equipment quality evaluation.A data acquisition module is used for collecting the use condition of rail transit signal equipment in a current evaluation period, calculating the timeliness index XHJ and the comprehensive quality index ZZ of an output signal, and calculating the quality of the output signal; the method comprises the following steps of: calculating a long-term reliability index K, evaluating the reliability of the signal equipment on the basis of the long-term reliability index K, and evaluating and early warning the response of the signal of the signal equipment, the accuracy of the alarm of an alarm system and the service life replacement of the signal equipment respectively. According to the method and the system, continuous optimization of equipment performance and effective prevention of potential safety hazards are realized, the application of the method and the system is helpful for improving the safety and the operation efficiency of an urban rail transit system, and safer and more convenient travel services are provided for passengers.

Description

Technical Field

[0001] The present invention relates to the technical field of rail transit signal equipment quality evaluation, and in particular to a rail transit signal equipment quality evaluation method and system. Background Art

[0002] In the transportation system of modern cities, rail transit plays a vital role, and the rail transit signal system is the key to ensuring the safe and efficient operation of trains. Quality evaluation of rail transit signal equipment is an important means to ensure the quality and safety of rail transit operations. With the continuous advancement of technology and changes in operational needs, higher requirements are also placed on the quality evaluation methods and systems of rail transit signal equipment.

[0003] Traditional methods usually rely on regular manual inspections and tests, which are unable to reflect the operating status and quality changes of signal equipment in real time. Existing evaluation systems often only focus on one or several specific indicators of signal equipment, thus lacking comprehensive quality evaluation. Traditional methods lack a mechanism to dynamically adjust the signal response rate and alarm accuracy based on the evaluation results, resulting in the inability to continuously optimize equipment performance. In addition, there is a lack of real-time monitoring and early warning mechanisms for the expected life and service life of the equipment, which can easily lead to safety hazards when the equipment is near the end of its life. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for evaluating the quality of rail transit signal equipment, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned object, the present invention provides a rail transit signal equipment quality evaluation method as follows, comprising a comprehensive and accurate evaluation and early warning method for the quality of rail transit signal equipment;

[0006] It includes a data acquisition module, a computer and data processing module and an alarm and communication module, wherein the computer and data processing module includes a unit for evaluating the timeliness of rail transit signal equipment signals, a unit for comprehensively evaluating the overall quality of rail transit signal equipment, and a unit for evaluating the reliability changes of long-term rail transit signal equipment;

[0007] The specific implementation steps are as follows:

[0008] Step 1: Using the data acquisition module, collect the usage of rail transit signal equipment in the current evaluation period;

[0009] Step 2: Calculate the output signal timeliness index XHJ by using the signal timeliness evaluation unit for rail transit signal equipment;

[0010] Step 3: Utilize the comprehensive evaluation unit for the overall quality of rail transit signal equipment to calculate and output a comprehensive quality index ZZ;

[0011] Step 4: using the reliability change unit for evaluating long-term rail transit signal equipment, calculate and output a long-term reliability index K;

[0012] Step 5: Based on the long-term reliability index K, the reliability of the signal equipment is evaluated, and the response of the signal equipment signal, the accuracy of the alarm system alarm, and the life replacement of the signal equipment are evaluated and warned by using the computer and data processing module in conjunction with the alarm and communication module.

[0013] Optionally, the equipment used by the data acquisition module includes sensors and monitoring systems;

[0014] The equipment used by the computer and data processing module includes computers and data processing equipment;

[0015] The equipment used by the alarm and communication module includes an alarm device and a communication device.

[0016] Optionally, the calculation formula for evaluating the signal timeliness unit of rail transit signal equipment is as follows:

[0017] XHJ=[100 / (1+SQRT(YC)]×YDL;

[0018] YDL=CYD / ZQD;

[0019] in:

[0020] XHJ is the signal timeliness index;

[0021] YC is the average delay time;

[0022] YDL is the signal response rate;

[0023] CYD is the number of successful responses;

[0024] ZQD is the total number of requests;

[0025] 100 is used as the numerator, which makes the value of the signal timeliness index XHJ between 0 and 100. At the same time, it can reflect the weight of the signal response rate YDL in the calculation of the signal timeliness index XHJ.

[0026] Optionally, the calculation formula of the average delay time YC is as follows:

[0027] YC=(YC1+YC2+YC3+......+YC n ) / n;

[0028] in:

[0029] n is the total number of response delays, which reflects the total number of response delays during the current equipment quality evaluation period;

[0030] YC1 is the first response delay time, YC2 is the second response delay time, YC3 is the third response delay time, and YC n The nth response delay time.

[0031] Optionally, the calculation formula for the comprehensive evaluation unit of the overall quality of rail transit signal equipment is as follows:

[0032] ZZ=XHJ×(1+(BZL-50) / 100)-(YC×(1-BZL)) / (10+SQRT(N));

[0033] BZL=ZQB / ZB;

[0034] in:

[0035] ZZ is the comprehensive quality index;

[0036] BZL is the alarm accuracy;

[0037] ZQB is the number of correct alarms, and ZB is the total number of alarms;

[0038] 50 is the benchmark value of the alarm accuracy BZL, i.e., the set alarm accuracy BZL of 50%. When the alarm accuracy BZL is higher than 50%, the comprehensive quality index ZZ will get extra points, and 50 will be flexibly adjusted according to the specific rail transit signal conditions;

[0039] N is the service life of the equipment.

[0040] Optionally, the calculation formula for evaluating the reliability change unit of long-term rail transit signal equipment is as follows:

[0041] K=ZZ×(1-N / YN) BZL / 100 -(YC×N) / (100+SQRT(ZZ+BZL));

[0042] in:

[0043] K is the long-term reliability index;

[0044] YN is the expected life of the equipment;

[0045] (1-N / YN) BZL / 100 The introduction of 100 is to adjust the index value of (1-N / YN) and reflect the impact of alarm accuracy BZL on the long-term reliability index K;

[0046] The introduction of 100 in (100+SQRT(ZZ+BZL)) is to adjust the negative impact of (100+SQRT(ZZ+BZL)) on the long-term reliability index K.

[0047] Optionally, the evaluation based on the long-term reliability index K is as follows:

[0048] If the long-term reliability index K is lower than the long-term reliability index K of the previous evaluation cycle, it reflects that the long-term reliability of the current rail transit signal equipment is poor. When the signal response rate YDL and the alarm accuracy BZL are evaluated and analyzed in detail, the details are as follows:

[0049] When the current signal response rate YDL is lower than the signal response rate YDL of the previous evaluation cycle, and the current alarm accuracy BZL is lower than the alarm accuracy BZL of the previous evaluation cycle, the differences between the signal response rate YDL and the alarm accuracy BZL of the current and previous evaluation cycles are calculated respectively. If the difference between the signal response rate YDL of the current and previous evaluation cycles is higher than the difference between the alarm accuracy BZL of the current and previous evaluation cycles, the signal equipment is monitored and adjusted. If the difference between the signal response rate YDL of the current and previous evaluation cycles is lower than the difference between the alarm accuracy BZL of the current and previous evaluation cycles, the alarm system is monitored and adjusted.

[0050] If the long-term reliability index K is higher than the long-term reliability index K of the previous evaluation cycle, it means that the long-term reliability of the current rail transit signal equipment is good, and the monitoring and evaluation of the rail transit signal equipment should be maintained.

[0051] Optionally, while evaluating the long-term reliability index K, it is also necessary to give an early warning of the service life of the equipment, as follows:

[0052] If the equipment service life N is close to 95% of the equipment expected life YN, an alarm will be issued to remind you to replace the rail transit signal equipment;

[0053] If the equipment service life N is close to 80% of the expected equipment life YN, an alarm will be issued to remind the equipment to increase the number of maintenance times;

[0054] If the equipment service life N is close to less than 80% of the equipment expected life YN, no alarm reminder is required.

[0055] The present invention also provides a rail transit signal equipment quality evaluation system, including a data acquisition module, a computer and data processing module and an alarm and communication module.

[0056] Data collection module: used to collect the average delay time YC, signal response rate YDL, alarm accuracy BZL, equipment service life N and equipment expected life YN of rail transit signal equipment in the current evaluation period;

[0057] Computer and data processing module: used to calculate the output signal timeliness index XHJ, comprehensive quality index ZZ, and long-term reliability index K in sequence;

[0058] Alarm and communication module: used to make a preliminary evaluation of the long-term reliability index K, and based on this, to give early warnings on the response of signal equipment signals, the accuracy of alarm system alarms, and the life replacement of signal equipment.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] 1. The present invention realizes real-time and comprehensive evaluation of the quality of signal equipment by calculating and comparing each evaluation cycle through a unit for evaluating the signal timeliness of rail transit signal equipment, a unit for comprehensively evaluating the overall quality of rail transit signal equipment, and a unit for evaluating the reliability change of long-term rail transit signal equipment, thereby improving the accuracy and timeliness of the evaluation.

[0061] 2. The present invention achieves the purpose of dynamically adjusting the signal response rate YDL and the alarm accuracy BZL based on the comparison results of the long-term reliability index K with the previous evaluation cycle, thereby realizing the continuous optimization of equipment performance. At the same time, based on the comparison results of the signal response rate YDL and the alarm accuracy BZL, the parameters with the largest phase difference reduction are adjusted first, which also improves the adjustment efficiency.

[0062] 3. The present invention monitors the expected life and service life of the equipment in real time, and triggers an alarm reminder when the service life is close to the expected life, thereby effectively avoiding safety hazards that may occur when the equipment is near the end of its service life.

[0063] In addition, the present invention integrates multiple key indicators into an evaluation system, and realizes intelligent evaluation and management of signal equipment quality through calculation of algorithm formulas. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 This is a flow chart of the method and system for evaluating the quality of rail transit signal equipment;

[0065] Figure 2 It is a structural schematic diagram of the computer and data processing module of the present invention;

[0066] Figure 3 It is a schematic diagram of the early warning conditions for the service life in the present invention;

[0067] Figure 4 This is a flow chart for evaluating the medium- and long-term reliability index K of the present invention. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] Regarding the rail transit signal equipment quality evaluation method and system, it is different from the existing quality evaluation methods and systems. The existing quality evaluation methods and systems often rely on manual inspections and regular testing. These methods are not only time-consuming and labor-intensive, but also difficult to fully and accurately reflect the actual operating status of the signal equipment. The algorithm unit achieves continuous optimization of equipment performance and effective prevention of safety hazards through dynamic adjustment mechanisms and expected life and service life management. The application of this method and system will help improve the safety and operating efficiency of urban rail transit systems and provide passengers with safer and more convenient travel services.

[0070] For example, see Figures 1 to 4 ,This implementation provides a rail transit signal equipment quality evaluation method, including a comprehensive and accurate evaluation and early warning method for the quality of rail transit signal equipment;

[0071] It includes a data acquisition module, a computer and data processing module and an alarm and communication module, wherein the computer and data processing module includes a unit for evaluating the timeliness of rail transit signal equipment signals, a unit for comprehensively evaluating the overall quality of rail transit signal equipment, and a unit for evaluating the reliability changes of long-term rail transit signal equipment;

[0072] The specific implementation steps are as follows:

[0073] Step 1: Use the data acquisition module to collect the usage of rail transit signal equipment during the current evaluation period;

[0074] Step 2: Use the signal timeliness unit for evaluating rail transit signal equipment to calculate the output signal timeliness index XHJ;

[0075] Step 3: Use the comprehensive evaluation unit for the overall quality of rail transit signal equipment to calculate and output the comprehensive quality index ZZ;

[0076] Step 4: Calculate and output the long-term reliability index K by using the reliability change unit for evaluating long-term rail transit signal equipment;

[0077] Step 5: Based on the long-term reliability index K, the reliability of the signal equipment is evaluated, and the response of the signal equipment signal, the accuracy of the alarm system alarm, and the life replacement of the signal equipment are evaluated and warned by using the computer and data processing module and the alarm and communication module;

[0078] The equipment used in the data acquisition module includes sensors and monitoring systems;

[0079] The equipment used in the computer and data processing module includes computers and data processing equipment;

[0080] The equipment used in the alarm and communication module includes alarm devices and communication equipment.

[0081] See also Figures 1 to 4 ,This implementation provides a rail transit signal equipment quality evaluation system including a data acquisition module, a computer and data processing module, and an alarm and communication module.

[0082] In this embodiment, the system realizes a comprehensive and accurate evaluation of the quality of rail transit signal equipment through the mutual cooperation of three algorithm units and the combination of the three operation results of XHJ, ZZ and K. Specifically, XHJ is the signal timeliness index. The purpose of calculating this index is to provide an objective and quantifiable indicator to evaluate the timeliness performance of signal equipment, so that the system can timely discover and deal with signal delay problems, thereby improving the overall operation efficiency of the rail transit system. ZZ is the comprehensive quality index. This index provides a comprehensive and integrated evaluation index to reflect the overall quality status of rail transit signal equipment, so that problems existing in the equipment can be discovered and dealt with in a timely manner, thereby ensuring the safe operation of the rail transit system. K is the long-term reliability index, which provides an objective and quantifiable The indicators are used to evaluate the reliability of rail transit signal equipment in long-term operation, so that the aging problem of equipment can be discovered and dealt with in time, thereby ensuring the continuous safe operation of the rail transit system. At the same time, through the iterative method, the signal response rate YDL and the parameters of the alarm system can be adjusted according to the K value to improve the alarm accuracy BZL, thereby further improving the overall quality and reliability of the equipment. The calculation result of K can also affect the calculation of feedback to XHJ and ZZ, so that the three algorithms of this system have high correlation and entanglement, and the cyclic influence of K on XHJ and ZZ further enhances the practicality and effectiveness of the entire evaluation method and system. Through this evaluation method and system, a scientific basis is provided for the maintenance, optimization and upgrading of equipment, and the safe operation of the rail transit system is ensured.

[0083] See also Figures 1 to 4 , the calculation formula for evaluating the signal timeliness unit of rail transit signal equipment is as follows:

[0084] XHJ=[100 / (1+SQRT(YC)]×YDL;

[0085] YDL=CYD / ZQD;

[0086] in:

[0087] XHJ is the signal timeliness index;

[0088] YC is the average delay time;

[0089] YDL is the signal response rate;

[0090] CYD is the number of successful responses;

[0091] ZQD is the total number of requests;

[0092] 100 is used as the numerator, so that the value of the signal timeliness index XHJ is between 0 and 100. At the same time, it can reflect the weight of the signal response rate YDL in the calculation of the signal timeliness index XHJ;

[0093] The calculation formula of the average delay time YC is as follows:

[0094] YC=(YC1+YC2+YC3+......+YC n ) / n;

[0095] in:

[0096] n is the total number of response delays, which reflects the total number of response delays during the current equipment quality evaluation period;

[0097] YC1 is the first response delay time, YC2 is the second response delay time, YC3 is the third response delay time, and YC n The nth response delay time.

[0098] In this embodiment: First, the calculation part "[100 / (1+SQRT(YC)]" in this algorithm unit is intended to convert the average delay time YC into a coefficient that is inversely proportional to timeliness. Since the smaller the average delay time YC is, the more timely the signal is, the method of dividing 100 by the average delay time YC ensures that when the average delay time YC decreases, the coefficient increases, thereby reflecting the improvement of signal timeliness. This calculation part is the core of the calculation formula for evaluating the signal timeliness unit of rail transit signal equipment. It determines the size of the signal timeliness index XHJ, and by adjusting the values ​​of the average delay time YC and the signal response rate YDL, it can directly affect the calculation result of the signal timeliness index XHJ, thereby reflecting the change in signal timeliness; SQRT means square root.

[0099] The signal timeliness index XHJ of this algorithm unit is calculated by the average delay time YC and signal response rate YDL data collected in real time, ensuring the immediacy and accuracy of the evaluation. This real-time feedback mechanism is crucial for timely discovery and handling of signal delay problems, and helps improve the overall operating efficiency of the rail transit system.

[0100] According to the size of the signal timeliness index XHJ, the quality of the signal system can be judged intuitively. When the signal timeliness index XHJ is low, it indicates that there are delays and poor response problems in the signal system. At this time, the system can be optimized in a targeted manner, including adjusting the switching time of the signal lights and optimizing the signal transmission path, thereby improving the timeliness and reliability of the signal.

[0101] In addition, the improvement of the signal timeliness index XHJ means the acceleration of signal response speed, which will directly shorten the waiting time of trains and improve the travel experience of passengers. In the rail transit system, passenger satisfaction is one of the important indicators to measure service quality. Therefore, the improvement of the signal timeliness index XHJ is of great significance to improving the overall service quality.

[0102] See also Figures 1 to 4 , the calculation formula for comprehensively evaluating the overall quality unit of rail transit signal equipment is as follows:

[0103] ZZ=XHJ×(1+(BZL-50) / 100)-(YC×(1-BZL)) / (10+SQRT(N));

[0104] BZL=ZQB / ZB;

[0105] in:

[0106] ZZ is the comprehensive quality index;

[0107] BZL is the alarm accuracy;

[0108] ZQB is the number of correct alarms, and ZB is the total number of alarms;

[0109] 50 is the benchmark value of the alarm accuracy BZL, i.e., the set alarm accuracy BZL of 50%. When the alarm accuracy BZL is higher than 50%, the comprehensive quality index ZZ will get extra points, and 50 will be flexibly adjusted according to the specific rail transit signal conditions;

[0110] N is the service life of the equipment.

[0111] In this embodiment, firstly, the calculation part of "(1+(BZL-50) / 100)" is intended to adjust the reference value of the comprehensive quality index ZZ according to the value of the alarm accuracy BZL. When the alarm accuracy BZL is high, the coefficient will be close to 100, so that the comprehensive quality index ZZ gets extra points, and when the alarm accuracy BZL is low, the coefficient will decrease, which will have a negative impact on the comprehensive quality index ZZ.

[0112] The calculation part of "(YC×(1-BZL))" calculates the product of the average delay time YC and the complement of the alarm accuracy BZL (1-BZL). Its purpose is to reflect the negative impact of the signal delay time on the equipment quality when the alarm accuracy is insufficient. This calculation part is a deduction item in the formula of the comprehensive quality index ZZ. It determines how much the comprehensive quality index ZZ value will decrease when the alarm accuracy BZL is low and the average delay time YC is large. By adjusting the values ​​of the average delay time YC and the alarm accuracy BZL, the size of this deduction item can be directly affected, thereby further affecting the calculation result of the comprehensive quality index ZZ.

[0113] The comprehensive quality index ZZ value of this algorithm unit takes into account the timeliness of the signal, the accuracy of the alarm and the service life of the equipment, and can fully reflect the overall quality status of the signal equipment. This comprehensive evaluation helps to discover potential problems in the equipment and provide a scientific basis for the maintenance and care of the equipment.

[0114] Through the change of the comprehensive quality index ZZ value, problems with the equipment can be discovered in time, including when the comprehensive quality index ZZ value suddenly drops, indicating that the equipment has a fault and performance degradation problem. At this time, it can be repaired and replaced in time to avoid the expansion of the fault and thus affect the normal operation of the rail transit system;

[0115] By continuously optimizing the comprehensive quality index ZZ value, the reliability of the equipment can be gradually improved. Specifically, equipment with a low comprehensive quality index ZZ value can be focused on for maintenance, and more advanced signal equipment and technology can be used to replace old equipment, thereby improving the safety and reliability of the entire rail transit system.

[0116] See also Figures 1 to 4 , the calculation formula for evaluating the reliability change unit of long-term rail transit signal equipment is as follows:

[0117] K=ZZ×(1-N / YN) BZL / 100 -(YC×N) / (100+SQRT(ZZ+BZL));

[0118] in:

[0119] K is the long-term reliability index;

[0120] YN is the expected life of the equipment;

[0121] (1-N / YN) BZL / 100 The introduction of 100 is to adjust the index value of (1-N / YN) and reflect the impact of alarm accuracy BZL on the long-term reliability index K;

[0122] The introduction of 100 in (100+SQRT(ZZ+BZL)) is to adjust the negative impact of (100+SQRT(ZZ+BZL)) on the long-term reliability index K.

[0123] In this embodiment, the algorithm unit firstly calculates the value of (1-N / YN) BZL / 100 "The calculation part is intended to adjust an exponential coefficient related to the alarm accuracy BZL by the ratio of the equipment service life N to the equipment expected life YN. When the equipment service life N hours, that is, the equipment is relatively new, the coefficient is close to 1, and when the equipment service life N increases, that is, the equipment is aged, the coefficient will decrease. At the same time, the value of the alarm accuracy BZL will also affect the rate of decrease of this coefficient. This calculation part is an important factor in the formula of the long-term reliability index K, which determines the degree of negative impact of equipment aging on the long-term reliability index K. By adjusting the values ​​of the equipment service life N, the equipment expected life YN and the equipment service life N, the calculation result of this factor can be directly affected, thereby further affecting the value of the long-term reliability index K;

[0124] The "YC×N" calculation part calculates the product of the average delay time YC and the equipment service life N. Its purpose is to reflect the negative impact of the signal delay time on the long-term reliability during the equipment aging process. This calculation part is a deduction item in the long-term reliability index K formula. It determines how much the long-term reliability index K value will decrease when the equipment is aged and the signal delay is large. By adjusting the values ​​of the average delay time YC and the equipment service life N, the size of this deduction item can be directly affected, thereby further affecting the calculation result of the long-term reliability index K;

[0125] This algorithm unit can predict the remaining life of the equipment through the change of the long-term reliability index K value. When the long-term reliability index K value continues to decrease, it indicates that the equipment is approaching the end of its service life. At this time, the equipment can be replaced and upgraded in time to avoid equipment failures and safety accidents caused by aging;

[0126] At the same time, according to the long-term reliability index K value, the signal response rate YDL and alarm accuracy BZL parameters can be dynamically adjusted to optimize the performance of the equipment. Specifically, when the long-term reliability index K value shows that the signal response rate YDL decreases due to equipment aging, measures can be taken to improve the signal response rate YDL, including optimizing the signal transmission path and enhancing the signal strength, so as to maintain the good performance of the equipment;

[0127] The changes in the long-term reliability index K value of the algorithm unit can be fed back to the unit for evaluating the signal timeliness of rail transit signal equipment and the unit for comprehensively evaluating the overall quality of rail transit signal equipment, thereby forming a cyclic iterative process. This cyclic feedback mechanism helps to continuously optimize the overall quality of signal equipment, achieve continuous improvement and optimization, and make it more accurately reflect the actual quality status of the equipment.

[0128] For example 2, please refer to Figures 1 to 4 , the evaluation based on the long-term reliability index K is as follows:

[0129] If the long-term reliability index K is lower than the long-term reliability index K of the previous evaluation cycle, it reflects that the long-term reliability of the current rail transit signal equipment is poor. When the signal response rate YDL and the alarm accuracy BZL are evaluated and analyzed in detail, the details are as follows:

[0130] When the current signal response rate YDL is lower than the signal response rate YDL of the previous evaluation cycle, and the current alarm accuracy BZL is lower than the alarm accuracy BZL of the previous evaluation cycle, the differences between the signal response rate YDL and the alarm accuracy BZL of the current and previous evaluation cycles are calculated respectively. If the difference between the signal response rate YDL of the current and previous evaluation cycles is higher than the difference between the alarm accuracy BZL of the current and previous evaluation cycles, the signal equipment is monitored and adjusted. If the difference between the signal response rate YDL of the current and previous evaluation cycles is lower than the difference between the alarm accuracy BZL of the current and previous evaluation cycles, the alarm system is monitored and adjusted.

[0131] If the long-term reliability index K is higher than the long-term reliability index K of the previous evaluation cycle, it means that the long-term reliability of the current rail transit signal equipment is good, and the monitoring and evaluation of the rail transit signal equipment should be maintained;

[0132] While evaluating the long-term reliability index K, it is also necessary to give an early warning of the service life of the equipment, as follows:

[0133] If the equipment service life N is close to 95% of the equipment expected life YN, an alarm will be issued to remind you to replace the rail transit signal equipment;

[0134] If the equipment service life N is close to 80% of the expected equipment life YN, an alarm will be issued to remind the equipment to increase the number of maintenance times;

[0135] If the equipment service life N is close to less than 80% of the equipment expected life YN, no alarm reminder is required.

[0136] In this embodiment, according to the result of comparing the long-term reliability index K value with the last evaluation cycle, the signal response rate YDL and the alarm accuracy BZL parameters can be adjusted more accurately. This adjustment is based on the feedback of the long-term operation data of the equipment, so it is more in line with the actual operation status and performance requirements of the equipment. By adjusting the signal response rate YDL and the alarm accuracy BZL parameters, the timeliness of the signal can be further optimized. This optimization not only helps to improve the operation efficiency of the rail transit system, but also improves the travel experience of passengers. At the same time, since the change of the long-term reliability index K value can reflect the impact of equipment aging on signal timeliness, this optimization can also effectively respond to the challenges brought by equipment aging. Accordingly, evaluating the cyclic impact of the long-term operation rail transit signal equipment reliability change unit on the signal timeliness unit of the rail transit signal equipment is helpful to establish a continuous improvement mechanism. By continuously adjusting parameters and optimizing system performance according to the feedback results of the long-term reliability index K value, the overall quality level of the signal equipment can be gradually improved. This continuous improvement mechanism is of great significance to ensuring the safe operation and sustainable development of the rail transit system.

[0137] Specifically, the core of the loop feedback is to dynamically adjust the signal response rate YDL and alarm accuracy BZL according to the latest long-term reliability index K. This dynamic adjustment can ensure that the equipment always maintains the best working state under different operating stages and conditions;

[0138] Adjustment of signal response rate YDL: By optimizing the signal system, including improving the transmission algorithm, increasing the bandwidth and optimizing the processing logic, the signal response rate YDL can be improved. This adjustment can reduce signal delay, improve the efficiency and accuracy of signal transmission, and thus directly improve the signal timeliness index XHJ and the comprehensive quality index ZZ;

[0139] Adjustment of alarm accuracy BZL: Optimizing the parameters of the alarm system, including adjusting the threshold of the alarm algorithm, increasing the detection sensitivity and improving the information processing method, can improve the alarm accuracy BZL, which can reduce false alarms and missed alarms, making the alarm system more reliable and accurate, and thus have a positive impact on the comprehensive quality index ZZ and the long-term reliability index K;

[0140] The parameters in the unit for evaluating the timeliness of rail transit signal equipment signals, the unit for comprehensively evaluating the overall quality of rail transit signal equipment, and the unit for evaluating the reliability change of long-term rail transit signal equipment not only reflect the current working status of the equipment, but also predict its future reliability trend. Through iterative calculation, the long-term reliability index K value can be continuously updated, so as to accurately evaluate the long-term reliability of the equipment. In addition, each iteration will calculate a new long-term reliability index K based on the latest signal response rate YDL and alarm accuracy BZL. This iterative process can gradually approach the actual reliability level of the equipment, providing an accurate basis for subsequent adjustments and optimizations. By observing the changing trend of the long-term reliability index K value, the future reliability level of the equipment can be predicted, which helps to discover potential problems in advance and take corresponding preventive measures to avoid failures.

[0141] The loop feedback mechanism not only focuses on the optimization of individual parameters, but also focuses on the improvement of overall quality. By adjusting the signal response rate YDL and the alarm accuracy BZL at the same time, the overall quality and long-term reliability of the equipment can be comprehensively improved.

[0142] Overall quality improvement: The improvement of signal response rate YDL and alarm accuracy BZL will directly lead to the improvement of signal timeliness index XHJ, comprehensive quality index ZZ and long-term reliability index K. This improvement will be reflected in all aspects of the equipment, including the stability of signal transmission, the accuracy of the alarm system and the reliability of the overall operation;

[0143] Continuous improvement: The feedback loop mechanism is a continuous improvement process. Through continuous iteration and optimization, problems and hidden dangers in the equipment can be gradually eliminated, so that its performance is continuously improved and a higher level of reliability is achieved;

[0144] In addition, the loop feedback mechanism of this embodiment also embodies the characteristics of flexible adaptation and intelligence. It can be flexibly adjusted according to the actual situation and operating conditions of the equipment to adapt to different working environments and needs. When adjusting the signal response rate YDL and the alarm accuracy BZL, it can be comprehensively considered according to the specific conditions of the equipment, the type of fault and the influencing factors. This flexibility enables the loop feedback mechanism to cope with various complex situations and ensure the stable operation of the equipment. With the continuous development of technology, the loop feedback mechanism can incorporate more intelligent elements, thereby realizing more intelligent equipment management and maintenance.

[0145] It is worth noting that in addition to flexibly adjusting the signal response rate YDL and the alarm accuracy BZL, it is also possible to carry out early warning processing on the service life N of the equipment, and realize real-time monitoring of the service life N of the signal equipment according to the set early warning conditions, thus avoiding the potential safety hazards of the equipment when it is approaching the end of its life.

[0146] To sum up, combined with the evaluation unit of the signal timeliness of rail transit signal equipment, the comprehensive evaluation unit of the overall quality of rail transit signal equipment, and the evaluation unit of the reliability change of long-term rail transit signal equipment and the parameters involved, the circular feedback mechanism can achieve the beneficial effects of dynamic adjustment and optimization, accurate evaluation and prediction, comprehensive improvement and continuous improvement, as well as flexible adaptation and intelligence. These effects work together in the management and maintenance process of the equipment, providing strong support for improving the long-term reliability and overall quality of the equipment. Specifically, the evaluation of the cyclic impact of the reliability change unit of long-term rail transit signal equipment on the evaluation unit of the signal timeliness of rail transit signal equipment further enhances the practicality and effectiveness of the entire evaluation method and system. Through this evaluation method and system, a comprehensive and accurate evaluation of the quality of rail transit signal equipment can be achieved, providing a scientific basis for the maintenance, optimization and upgrading of the equipment, and ensuring the safe operation and sustainable development of the rail transit system.

[0147] Although 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 can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating the quality of rail transit signal equipment, characterized in that: Contains comprehensive and accurate evaluation of rail transit signal equipment quality and early warning methods; It includes a data acquisition module, a computer and data processing module and an alarm and communication module, wherein the computer and data processing module includes a unit for evaluating the timeliness of rail transit signal equipment signals, a unit for comprehensively evaluating the overall quality of rail transit signal equipment, and a unit for evaluating the reliability changes of long-term rail transit signal equipment; The specific implementation steps are as follows: Step 1: Using the data acquisition module, collect the usage of rail transit signal equipment in the current evaluation period; Step 2: Calculate the output signal timeliness index XHJ by using the signal timeliness evaluation unit for rail transit signal equipment; Step 3: Utilize the comprehensive evaluation unit for the overall quality of rail transit signal equipment to calculate and output a comprehensive quality index ZZ; Step 4: using the reliability change unit for evaluating long-term rail transit signal equipment, calculate and output a long-term reliability index K; Step 5: Based on the long-term reliability index K, the reliability of the signal equipment is evaluated, and the response of the signal equipment signal, the accuracy of the alarm system alarm, and the life replacement of the signal equipment are evaluated and warned by using the computer and data processing module in conjunction with the alarm and communication module.

2. A rail transit signal equipment quality evaluation method according to claim 1, characterized in that: The equipment used by the data acquisition module includes sensors and monitoring systems; The equipment used by the computer and data processing module includes computers and data processing equipment; The equipment used by the alarm and communication module includes an alarm device and a communication device.

3. A rail transit signal equipment quality evaluation method according to claim 2, characterized in that: The calculation formula for evaluating the signal timeliness unit of rail transit signal equipment is as follows: XHJ=[100 / (1+SQRT(YC)]×YDL; YDL=CYD / ZQD; in: XHJ is the signal timeliness index; YC is the average delay time; YDL is the signal response rate; CYD is the number of successful responses; ZQD is the total number of requests; 100 is used as the numerator, which makes the value of the signal timeliness index XHJ between 0 and 100. At the same time, it can reflect the weight of the signal response rate YDL in the calculation of the signal timeliness index XHJ.

4. A rail transit signal equipment quality evaluation method according to claim 3, characterized in that: The calculation formula of the average delay time YC is as follows: YC=(YC1+YC2+YC3+......+YC n ) / n; in: n is the total number of response delays, which reflects the total number of response delays during the current equipment quality evaluation period; YC1 is the first response delay time, YC2 is the second response delay time, YC3 is the third response delay time, and YC n The nth response delay time.

5. A rail transit signal equipment quality evaluation method according to claim 3, characterized in that: The calculation formula for the comprehensive evaluation unit of the overall quality of rail transit signal equipment is as follows: ZZ=XHJ×(1+(BZL-50) / 100)-(YC×(1-BZL)) / (10+SQRT(N)); BZL=ZQB / ZB; in: ZZ is the comprehensive quality index; BZL is the alarm accuracy; ZQB is the number of correct alarms, and ZB is the total number of alarms; 50 is the benchmark value of the alarm accuracy BZL, i.e., the set alarm accuracy BZL of 50%. When the alarm accuracy BZL is higher than 50%, the comprehensive quality index ZZ will get extra points, and 50 will be flexibly adjusted according to the specific rail transit signal conditions; N is the service life of the equipment.

6. A rail transit signal equipment quality evaluation method according to claim 5, characterized in that: The calculation formula for evaluating the reliability change unit of long-term rail transit signal equipment is as follows: K=ZZ×(1-N / YN) BZL / 100 -(YC×N) / (100+SQRT(ZZ+BZL)); in: K is the long-term reliability index; YN is the expected life of the equipment; (1-N / YN) BZL / 100 The introduction of 100 is to adjust the index value of (1-N / YN) and reflect the impact of alarm accuracy BZL on the long-term reliability index K; The introduction of 100 in (100+SQRT(ZZ+BZL)) is to adjust the negative impact of (100+SQRT(ZZ+BZL)) on the long-term reliability index K.

7. A rail transit signal equipment quality evaluation method according to claim 6, characterized in that: The evaluation based on the long-term reliability index K is as follows: If the long-term reliability index K is lower than the long-term reliability index K of the previous evaluation cycle, it reflects that the long-term reliability of the current rail transit signal equipment is poor. When the signal response rate YDL and the alarm accuracy BZL are evaluated and analyzed in detail, the details are as follows: When the current signal response rate YDL is lower than the signal response rate YDL of the previous evaluation cycle, and the current alarm accuracy BZL is lower than the alarm accuracy BZL of the previous evaluation cycle, the differences between the signal response rate YDL and the alarm accuracy BZL of the current and previous evaluation cycles are calculated respectively. If the difference between the signal response rate YDL of the current and previous evaluation cycles is higher than the difference between the alarm accuracy BZL of the current and previous evaluation cycles, the signal equipment is monitored and adjusted. If the difference between the signal response rate YDL of the current and previous evaluation cycles is lower than the difference between the alarm accuracy BZL of the current and previous evaluation cycles, the alarm system is monitored and adjusted. If the long-term reliability index K is higher than the long-term reliability index K of the previous evaluation cycle, it means that the long-term reliability of the current rail transit signal equipment is good, and the monitoring and evaluation of the rail transit signal equipment should be maintained.

8. A rail transit signal equipment quality evaluation method according to claim 7, characterized in that: While evaluating the long-term reliability index K, it is also necessary to give an early warning of the service life of the equipment, as follows: If the equipment service life N is close to 95% of the equipment expected life YN, an alarm will be issued to remind you to replace the rail transit signal equipment; If the equipment service life N is close to 80% of the expected equipment life YN, an alarm will be issued to remind the equipment to increase the number of maintenance times; If the equipment service life N is close to less than 80% of the equipment expected life YN, no alarm reminder is required.

9. The evaluation system used in the rail transit signal equipment quality evaluation method according to claim 1 is characterized in that: Including data acquisition module, computer and data processing module and alarm and communication module Data collection module: used to collect the average delay time YC, signal response rate YDL, alarm accuracy BZL, equipment service life N and equipment expected life YN of rail transit signal equipment in the current evaluation period; Computer and data processing module: used to calculate the output signal timeliness index XHJ, comprehensive quality index ZZ, and long-term reliability index K in sequence; Alarm and communication module: used to make a preliminary evaluation of the long-term reliability index K, and based on this, to give early warnings on the response of signal equipment signals, the accuracy of alarm system alarms, and the life replacement of signal equipment.

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