An intelligent detection and alarm system for urban rail vehicles

Abstract

The present application discloses an intelligent detection and alarm system for urban rail vehicles, which relates to the field of rail transportation technology, and solves the technical problem that the existing monitoring method is difficult to accurately monitor various pressures during the train running process, resulting in poor warning effect and reduced train safety during operation; the system comprises: a data acquisition module: collecting train running information, voltage data and pressure data according to the collected signal; a data processing module: generating a warning pressure range according to the train running information; generating a pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure and brake cylinder pressure in the pressure data; generating a collection signal according to the warning pressure range, pressure data and voltage data; a voltage warning module: generating a voltage alarm signal according to the voltage data; and giving an alarm according to the voltage alarm signal; a wind pressure warning module: giving an alarm according to the pressure alarm signal; and increasing the safety of the train during operation.

Description

Technical Field

[0001] The present application belongs to the field of rail transit transportation technology, and relates to rail transit transportation technology, and specifically to an intelligent detection and alarm system for urban rail vehicles. Background Art

[0002] Rail vehicles are vehicles that operate in a wheel-rail mode and are suitable for rail transit, which is characterized by high speed and large capacity. They are not only used in long-distance land transportation, but also widely used in medium and short-distance urban public transportation.

[0003] The prior art (announcement number CN111252114B invention patent) discloses a method for monitoring low total air pressure of rail transit vehicles. The method is based on ground control equipment and obtains a first total air pressure value at a total air pressure switch of a rail transit vehicle and a second total air pressure value of a brake system pressure sensor of the rail transit vehicle. When the first total air pressure value is lower than a preset pressure value, it is determined whether the second total air pressure value is lower than the preset pressure value. If not, an instruction to avoid emergency braking is sent to the train control and management system TCMS of the rail transit vehicle to avoid false alarms of low total air pressure caused by failures of the total air pressure switch and its lines. Thus, low total air pressure monitoring is also achieved on unmanned vehicles, signal acquisition errors caused by single-point failures are avoided, and unnecessary emergency braking operations are reduced.

[0004] The above monitoring method generates an alarm signal by comparing whether the total wind pressure is less than a preset pressure value; different driving speeds require different wind pressures for braking. For example, during emergency braking, the faster the train travels, the greater the braking force required to brake in a short period of time, and the corresponding wind pressure needs to be increased accordingly; at the same time, the wind pressure should not be too high. If the wind pressure is too high, it will cause damage to the brake cylinder, brake pipe, etc.; using a fixed pressure value as a monitoring standard for wind pressure and generating an early warning will result in an unsatisfactory early warning effect, which will in turn lead to a decrease in safety during train driving; therefore, an intelligent detection and alarm system for urban rail vehicles is needed. Summary of the invention

[0005] The present application aims to solve at least one of the technical problems existing in the prior art; to this end, the present application proposes an intelligent detection and alarm system for urban rail vehicles, which is used to solve the technical problem that the existing monitoring methods are difficult to accurately monitor the various pressures during the train's travel, resulting in poor early warning effects and reduced train safety during operation.

[0006] To achieve the above-mentioned purpose, the first aspect of the present application provides an intelligent detection and alarm system for urban rail vehicles, comprising: a data acquisition module, a data processing module, a wireless transmission module, a voltage warning module, a wind pressure warning module, a terminal display module and a database;

[0007] The data acquisition module is used to acquire acquisition signals and collect train travel information, voltage data and pressure data through a data acquisition device connected thereto according to the acquisition signals;

[0008] The data processing module: acquires the train travel information of the train, generates a warning pressure range according to the train travel information; generates a pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure and brake cylinder pressure in the pressure data; and generates a collection signal according to the warning pressure range, pressure data and voltage data;

[0009] The voltage warning module: acquires voltage data, generates a voltage alarm signal according to the voltage data; and issues an alarm according to the voltage alarm signal;

[0010] The wind pressure warning module is used to obtain a pressure alarm signal and to generate an alarm according to the pressure alarm signal;

[0011] The terminal display module is used to display voltage data and pressure data, as well as voltage alarm signals and pressure alarm signals;

[0012] The wireless transmission module is used to transmit voltage data and pressure data.

[0013] The present application obtains a collection signal, collects train travel information, voltage data and pressure data according to the collection signal; obtains the train travel information of the train, and generates a warning pressure range according to the train travel information; generates a pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure and brake cylinder pressure in the pressure data; issues an alarm according to the pressure alarm signal; generates a voltage alarm signal according to the voltage data; and issues an alarm according to the voltage alarm signal; generates a warning pressure range through the train travel information, so that the warning pressure range is more matched with the current travel status of the train, thereby improving the accuracy of the subsequently generated pressure alarm signal and increasing the safety during the train operation.

[0014] Preferably, generating a warning pressure range according to train travel information includes:

[0015] Acquire the running state of the train, and when the running state of the train is the running state, extract the running speed, running acceleration and track information from the train running information; input the running speed, running acceleration and track information into the speed prediction model to obtain the predicted speed; take the larger value of the predicted speed and the running speed as the warning speed, and input the warning speed into the warning pressure range generation model to obtain the warning pressure range; wherein the speed prediction model is obtained by training the artificial intelligence model;

[0016] When the train is in a braking state, the travel speed in the train travel information is extracted, and the travel speed is used as the warning speed; the warning speed is input into the warning pressure range generation model to obtain the warning pressure range; the warning pressure range generation model is obtained through artificial intelligence model training.

[0017] The present application uses the maximum value of the driving speed at this moment and the next moment as the warning speed, and obtains the corresponding warning pressure range through the warning speed, so that the fault tolerance of the warning pressure range is higher.

[0018] Preferably, the speed prediction model is obtained by training an artificial intelligence model, including:

[0019] Obtain several historical driving speeds, historical running accelerations, track information and the historical driving speeds at the next moment through the database, and set the specific interval between the next moment and the current moment according to expert experience; integrate the historical driving speeds, historical running accelerations, track information and the historical driving speeds at the next moment into several groups of training data and test data;

[0020] The artificial intelligence model is trained using training data, and the trained artificial intelligence model is tested using test data, to obtain an artificial intelligence model whose input is driving speed, running acceleration and track information, and whose output is the driving speed at the next moment, and the driving speed at the next moment is output as the predicted speed, finally obtaining a speed prediction model whose input is driving speed, running acceleration and track information, and whose output is the predicted speed, wherein the artificial intelligence model includes a BP neural network model and an RBF neural network model.

[0021] Preferably, the warning pressure range generation model is obtained by training an artificial intelligence model, including:

[0022] Acquire a number of driving speeds and their corresponding brake pipe pressure safety ranges, pressure tank pressure safety ranges and brake cylinder pressure safety ranges through a database; integrate the driving speeds, brake pipe pressure safety ranges, pressure tank pressure safety ranges and brake cylinder pressure safety ranges into a number of sets of training data and test data;

[0023] The artificial intelligence model is trained using training data, and the trained artificial intelligence model is tested using test data, and finally an artificial intelligence model is obtained whose input is driving speed and whose output is brake pipe pressure safety range, pressure tank pressure safety range and brake cylinder pressure safety range, and the brake pipe pressure safety range, pressure tank pressure safety range and brake cylinder pressure safety range are integrated into a warning pressure range for output, and finally a warning pressure range generation model is obtained whose input is driving speed and whose output is warning pressure range, wherein the warning speed is input as driving speed; the artificial intelligence model includes a BP neural network model and an RBF neural network model.

[0024] Preferably, generating the pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure and brake cylinder pressure in the pressure data includes:

[0025] Extract the brake pipe pressure safety range, the pressure tank pressure safety range and the brake cylinder pressure safety range from the warning pressure range;

[0026] Determine in sequence whether the pressures of several brake cylinders corresponding to each carriage are within the safe range of brake cylinder pressures, and whether the brake pipe pressures are within the safe range of brake pipe pressures;

[0027] If yes, then obtain the brake cylinder pressures of each carriage, and generate the corresponding carriage brake tag 1 according to the brake cylinder pressures; obtain the brake pipe pressure of each carriage, and generate the carriage brake tag 2 according to the brake pipe pressure of each carriage; when the carriage brake tag 1 and the carriage brake tag 2 are both normal, determine whether the pressure tank pressure is within the pressure tank pressure safety range, if yes, generate a pressure safety signal; if no, generate a pressure tank pressure abnormality signal; otherwise, generate a balance alarm signal according to the carriage brake tag 1 and the carriage brake tag 2;

[0028] No, when the brake cylinder pressure is not within the brake cylinder pressure safety range, a brake cylinder pressure abnormality alarm signal is generated; otherwise, a brake cylinder pressure normal signal is generated; when the brake pipe pressure is not within the brake pipe pressure safety range, a brake pipe pressure abnormality alarm signal is generated; otherwise, a brake pipe pressure normal signal is generated;

[0029] Among them, the pressure alarm signal includes a pressure safety signal, a pressure tank pressure abnormality signal, a balance alarm signal, a brake cylinder pressure abnormality alarm signal, a brake cylinder pressure normal signal, a brake pipe pressure abnormality alarm signal and a brake pipe pressure normal signal.

[0030] Preferably, the step of generating a corresponding carriage brake tag according to a plurality of brake cylinder pressures includes:

[0031] Obtain several brake cylinder pressures of the same carriage, and determine whether the difference between the brake cylinder pressures is greater than difference threshold one; if yes, set the carriage brake tag one as abnormal; if no, obtain the average value of the brake cylinder pressures corresponding to each carriage, and determine whether the average value is greater than pressure difference two; if yes, set the carriage brake tag one as abnormal; if no, set the carriage brake tag one as normal.

[0032] Preferably, generating the carriage brake tag 2 according to the brake pipe pressure of each carriage includes:

[0033] The brake pipe pressure of each carriage is obtained, and it is determined whether the brake pipe pressure between adjacent carriages is less than the difference threshold value three; if yes, the carriage brake tag two is set to normal; if no, the carriage brake tag two is set to abnormal.

[0034] Preferably, generating the balance alarm signal according to the carriage brake tag 1 and the carriage brake tag 2 includes:

[0035] When the carriage brake tag 1 is abnormal and the carriage brake tag 2 is normal, a brake cylinder balance alarm signal is generated;

[0036] When the carriage brake tag 1 is normal and the carriage brake tag 2 is abnormal, a brake pipe balancing alarm signal is generated;

[0037] When the carriage brake tag 1 is abnormal and the carriage brake tag 2 is abnormal, a pressure equalization alarm signal is generated;

[0038] The equalization alarm signal includes a brake cylinder equalization alarm signal, a brake pipe equalization alarm signal and a pressure equalization alarm signal.

[0039] Preferably, generating the acquisition signal according to the warning pressure range, pressure data and voltage data includes:

[0040] Obtain the warning pressure range and pressure data; determine whether each pressure value item in the pressure data is within its corresponding warning pressure range;

[0041] If yes, the first collection interval is set as the default interval;

[0042] If not, the first collection interval T1 is calculated by the formula T1=MT×exp(-α×max(YCij / (ASi-AXi))), where α is the adjustment coefficient and the specific value is set according to experience; MT is the default interval, ASi is the pressure safety upper limit corresponding to the pressure value item numbered i; AXi is the pressure safety lower limit corresponding to the pressure value item numbered i; YCij is the pressure difference; calculated by the formula YCij=min(|YLij-ASi|, |YLij-AXi|); YLij is the jth pressure value in the pressure value item numbered i;

[0043] Among them, when i=1, the pressure value item is the pressure tank pressure, and its corresponding warning pressure range is the pressure tank pressure safety range; when i=2, the pressure value item is the brake pipe pressure, and its corresponding warning pressure range is the brake pipe pressure safety range; when i=3, the pressure value item is the brake cylinder pressure, and its corresponding warning pressure range is the brake cylinder pressure safety range;

[0044] Generate a pressure acquisition signal and a speed acquisition signal according to the first acquisition interval time;

[0045] Obtain voltage data; determine whether the voltage value in the voltage data is within a set voltage safety range;

[0046] If yes, the second collection interval is set as the default interval;

[0047] If not, the second collection interval T2 is calculated by the formula T2=MT×exp(-β×min(|DY-DS|,|DY-DX|) / (DS-DX)); wherein β is the adjustment coefficient, and the specific value is set according to experience; DY is the voltage value; DS is the upper limit of the voltage safety range; DX is the lower limit of the voltage safety range;

[0048] Generate a voltage acquisition signal according to the second acquisition interval time;

[0049] The acquisition signals include voltage acquisition signals, pressure acquisition signals and speed acquisition signals.

[0050] Preferably, generating a voltage alarm signal according to the voltage data comprises:

[0051] The voltage value in the voltage data is extracted, and when the voltage value is not within the set voltage safety range, a voltage alarm signal is generated.

[0052] Compared with the prior art, the beneficial effects of this application are:

[0053] 1. The present application acquires a collection signal, and collects train travel information, voltage data, and pressure data according to the collection signal; acquires the train travel information of the train, and generates a warning pressure range according to the train travel information; generates a pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure, and brake cylinder pressure in the pressure data; issues an alarm according to the pressure alarm signal; generates a voltage alarm signal according to the voltage data; and issues an alarm according to the voltage alarm signal; generates a warning pressure range through the train travel information, so that the warning pressure range is more closely matched with the current travel status of the train, thereby improving the accuracy of the subsequently generated pressure alarm signal and increasing the safety of the train during operation.

[0054] 2. This application uses the maximum value of the driving speed at this moment and the next moment as the warning speed, and obtains the corresponding warning pressure range through the warning speed, so that the fault tolerance of the warning pressure range is higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present application 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 only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 This is a schematic diagram of the principle of the intelligent detection alarm system in this application;

[0057] Figure 2 A flow chart for generating pressure alarm signals in this application. DETAILED DESCRIPTION

[0058] The technical solution of the present application will be described clearly and completely below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0059] See also Figure 1 , the first aspect of the present application provides an intelligent detection and alarm system for urban rail vehicles, including: a data acquisition module, a data processing module, a wireless transmission module, a voltage warning module, a wind pressure warning module, a terminal display module and a database;

[0060] Data acquisition module: obtains acquisition signals, which are used to control appropriate acquisition. When the first acquisition interval or the second acquisition interval in the acquisition signal arrives, corresponding signal acquisition is performed; according to the acquisition signal, train travel information, voltage data and pressure data are collected through the data acquisition equipment connected to it; the data acquisition equipment includes a speed sensor, a voltage sensor and an air pressure sensor; the train travel information is the train travel information, including travel speed, running acceleration and track information, etc.; the voltage data is the bus voltage output by the battery in the train; the pressure data includes the pressure tank pressure, the brake pipe pressure and the brake cylinder pressure; the pressure tank pressure is the pressure in the brake pressure tank in the train; the brake pipe pressure is the pressure of the brake pipe in each section of the train, and the brake cylinder pressure is the pressure in each brake cylinder in each section of the train;

[0061] Data processing module: obtain the train travel information of the train, and generate a warning pressure range according to the train travel information; the warning pressure range includes the brake pipe pressure safety range, the pressure tank pressure safety range and the brake cylinder pressure safety range; the brake pipe pressure safety range is the safety range of the brake pipe pressure generated according to the current train travel status; the pressure tank pressure safety range is the safety range of the pressure tank pressure generated according to the current train travel status; the brake cylinder pressure safety range is the safety range of the brake cylinder pressure generated according to the current train travel status; generate a pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure and brake cylinder pressure in the pressure data; the pressure alarm signal is used to remind relevant personnel that there is a problem with the corresponding pressure of the train; and timely response should be made; and generate a collection signal according to the warning pressure range, pressure data and voltage data;

[0062] Voltage warning module: obtains voltage data, generates voltage alarm signals according to the voltage data, and issues alarms according to the voltage alarm signals;

[0063] Wind pressure warning module: obtains pressure alarm signals and issues alarms based on the pressure alarm signals;

[0064] The terminal display module is used to display voltage data and pressure data, as well as voltage alarm signals and pressure alarm signals;

[0065] The wireless transmission module is used to transmit voltage data and pressure data.

[0066] This embodiment obtains a collection signal, collects train travel information, voltage data and pressure data according to the collection signal; obtains the train travel information of the train, and generates a warning pressure range according to the train travel information; generates a pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure and brake cylinder pressure in the pressure data; issues an alarm according to the pressure alarm signal; generates a voltage alarm signal according to the voltage data; and issues an alarm according to the voltage alarm signal; generates a warning pressure range through the train travel information, so that the warning pressure range is more matched with the current travel status of the train, thereby improving the accuracy of the subsequently generated pressure alarm signal and increasing the safety during the train operation.

[0067] Generate a warning pressure range according to the train travel information, including: obtaining the train travel state, when the train travel state is the running state, the running state is the acceleration, uniform speed and deceleration state when the train is running; it can be understood that the deceleration state here is the state when the train does not start the braking system and simply relies on track resistance to decelerate; extract the travel speed, running acceleration and track information in the train travel information; the travel speed is the current travel speed of the train, the running acceleration is the current acceleration of the train, and the track information is the characteristic information of the current track, including the friction factor of the track; input the travel speed, running acceleration and track information into the speed prediction model to obtain the predicted speed; the larger value of the predicted speed and the travel speed is used as the warning speed, and the warning speed is input into the warning pressure range generation model to obtain the warning pressure range; wherein, the speed prediction model is obtained by training the artificial intelligence model;

[0068] When the train driving state is a braking state, the braking state is the state of the train when braking; the driving speed in the train driving information is extracted, and the driving speed is used as the warning speed; the warning speed is input into the warning pressure range generation model to obtain the warning pressure range; the warning pressure range generation model is obtained through artificial intelligence model training.

[0069] In this embodiment, the maximum value of the driving speed at this moment and the next moment is used as the warning speed, and the corresponding warning pressure range is obtained through the warning speed, so that the fault tolerance of the warning pressure range is higher.

[0070] The speed prediction model is obtained through artificial intelligence model training, including: obtaining a number of historical driving speeds, historical running accelerations, track information and the historical driving speeds at the next moment through the database, and setting the specific interval between the next moment and the current moment according to expert experience; integrating the historical driving speeds, historical running accelerations, track information and the historical driving speeds at the next moment into several groups of training data and test data;

[0071] The artificial intelligence model is trained using training data, and the trained artificial intelligence model is tested using test data. Specifically, the historical driving speed, historical running acceleration, and track information in the test data are input into the trained artificial intelligence model to obtain the output historical driving speed at the next moment; it is determined whether the difference between the output historical driving speed at the next moment and the historical driving speed at the next moment recorded in the test data is within an acceptable range. If so, subsequent test data is used for testing; if not, relevant parameters are adjusted, and the current group of test data is continued for testing until a set proportion of test data passes the test, and the set proportion is set according to experience; an artificial intelligence model is obtained whose input is driving speed, running acceleration, and track information, and whose output is driving speed at the next moment, and the driving speed at the next moment is output as the predicted speed, and finally a speed prediction model whose input is driving speed, running acceleration, and track information, and whose output is predicted speed is obtained, wherein the artificial intelligence model includes a BP neural network model and an RBF neural network model.

[0072] This embodiment predicts the speed of the train at the next moment by taking into account the track information of the train's running track, thereby further improving the accuracy of the running speed prediction.

[0073] The warning pressure range generation model is obtained through artificial intelligence model training, including: obtaining a number of driving speeds through the database, and the corresponding brake pipe pressure safety range, pressure tank pressure safety range and brake cylinder pressure safety range; the brake pipe pressure safety range used for training the model is the safety range of the brake pipe pressure under the driving state of the corresponding train; the pressure tank pressure safety range is the safety range of the pressure tank pressure under the driving state of the corresponding train; the brake cylinder pressure safety range is the safety range of the brake cylinder pressure under the driving state of the corresponding train; the specific values ​​are set according to expert experience; the driving speed, brake pipe pressure safety range, pressure tank pressure safety range and brake cylinder pressure safety range are integrated into several groups of training data and test data;

[0074] The artificial intelligence model is trained using the training data, and the trained artificial intelligence model is tested using the test data, and finally an artificial intelligence model is obtained whose input is the driving speed and whose output is the brake pipe pressure safety range, the pressure tank pressure safety range and the brake cylinder pressure safety range, and the brake pipe pressure safety range, the pressure tank pressure safety range and the brake cylinder pressure safety range are integrated into a warning pressure range for output. Specifically, the driving speed in the test data is input into the trained artificial intelligence model to obtain the output brake pipe pressure safety range, the pressure tank pressure safety range and the brake cylinder pressure safety range, and the output brake pipe pressure safety range, the pressure tank pressure safety range and the brake cylinder pressure safety range are judged. Whether the difference between the safety range and the corresponding ranges of the brake pipe pressure safety range, the pressure tank pressure safety range and the brake cylinder pressure safety range recorded in the corresponding inspection data is within an acceptable range, if so, perform subsequent inspection data for inspection, if not, adjust the relevant parameters, and continue to inspect this group of inspection data until a set proportion of inspection data passes the inspection. The set proportion is set according to experience, and the set proportion in this embodiment is 95%; finally, a warning pressure range generation model is obtained with the input being the driving speed and the output being the warning pressure range, wherein the warning speed is input as the driving speed; the artificial intelligence model includes a BP neural network model and an RBF neural network model.

[0075] See also Figure 2 , generating the pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure and brake cylinder pressure in the pressure data, including:

[0076] Extract the brake pipe pressure safety range, the pressure tank pressure safety range and the brake cylinder pressure safety range from the warning pressure range;

[0077] Determine in sequence whether the pressures of several brake cylinders corresponding to each carriage are within the safe range of brake cylinder pressures, and whether the brake pipe pressures are within the safe range of brake pipe pressures;

[0078] If yes, then obtain the brake cylinder pressures of each carriage, and generate a corresponding carriage brake label one according to the brake cylinder pressures, including: obtaining the brake cylinder pressures of the same carriage, and judging whether the maximum difference between the brake cylinder pressures is greater than the difference threshold one, which is set according to experience; that is, judging whether the maximum value of the difference between a number of brake cylinders is greater than the difference threshold one; if yes, it means that there is a problem with the brake cylinder, and the corresponding carriage brake label one is set as abnormal; if no, obtain the average value of the brake cylinder pressures corresponding to each carriage, and judge whether the average value is greater than the pressure difference two, which is set according to experience; that is, judging whether the brake cylinder pressure difference between the carriages is too large; if yes, it means that in emergency braking, the emergency braking forces between the carriages may be different, resulting in the failure of the carriages to brake synchronously; it will cause greater danger, so the carriage brake label one is set to abnormal; if no, it means that there is no problem with the brake cylinder, and the carriage brake label one is set to normal. The brake pipe pressure of each carriage is obtained, and the carriage brake label 2 is generated according to the brake pipe pressure of each carriage, including: obtaining the brake pipe pressure of each carriage, judging whether the brake pipe pressure between adjacent carriages is less than the difference threshold 3, and the difference threshold 3 is set according to experience; that is, judging whether the pressure difference of the brake pipes between each carriage is qualified, if yes, the carriage brake label 2 is set to normal; if not, it means that when the train brakes urgently, the brake pipe provides different pressures to the corresponding brake cylinders, which will also lead to different braking forces between different carriages, resulting in the inability of the carriages to brake synchronously, causing danger, so the carriage brake label 2 is set to abnormal.

[0079] When the carriage brake tag 1 and the carriage brake tag 2 are both normal, it is determined whether the pressure tank pressure is within the pressure tank pressure safety range. If yes, a pressure safety signal is generated; if not, a pressure tank pressure abnormality signal is generated; the pressure tank pressure abnormality signal includes an underpressure abnormality signal and an overpressure abnormality signal; otherwise, a balanced alarm signal is generated according to the carriage brake tag 1 and the carriage brake tag 2;

[0080] No, when the brake cylinder pressure is not within the brake cylinder pressure safety range, a brake cylinder pressure abnormality alarm signal is generated; otherwise, a brake cylinder pressure normal signal is generated; when the brake pipe pressure is not within the brake pipe pressure safety range, a brake pipe pressure abnormality alarm signal is generated; otherwise, a brake pipe pressure normal signal is generated;

[0081] Among them, the pressure alarm signal includes a pressure safety signal, a pressure tank pressure abnormality signal, a balance alarm signal, a brake cylinder pressure abnormality alarm signal, a brake cylinder pressure normal signal, a brake pipe pressure abnormality alarm signal and a brake pipe pressure normal signal.

[0082] It is worth noting that in this embodiment, while generating the pressure tank pressure abnormality signal, a corresponding reaction time signal and a pressure adjustment signal are also generated; the reaction time signal is set according to the gap between the pressure of the pressure tank and the pressure safety range of the pressure tank, and the larger the gap, the shorter the reaction time; the pressure adjustment signal is that when the reaction time expires and the relevant staff has not performed the corresponding operation, the pressure tank is operated according to the pressure adjustment signal; when the pressure tank pressure abnormality signal is an underpressure abnormality signal, the pressure adjustment signal is pressurization, and when the pressure tank pressure abnormality signal is an overpressure abnormality signal, the pressure adjustment signal is depressurization.

[0083] Generate an equalization alarm signal according to carriage brake tag one and carriage brake tag two, including: when carriage brake tag one is abnormal and carriage brake tag two is normal, generate a brake cylinder equalization alarm signal; when carriage brake tag one is normal and carriage brake tag two is abnormal, generate a brake pipe equalization alarm signal; when carriage brake tag one is abnormal and carriage brake tag two is abnormal, generate a pressure equalization alarm signal; the equalization alarm signal includes a brake cylinder equalization alarm signal, a brake pipe equalization alarm signal and a pressure equalization alarm signal.

[0084] Generate a collection signal according to the warning pressure range, pressure data and voltage data, including: obtaining the warning pressure range and pressure data; judging whether each pressure value item in the pressure data is within its corresponding warning pressure range;

[0085] If yes, the first collection interval is set as a default interval; the default interval is set according to expert experience;

[0086] If not, the first collection interval T1 is calculated by the formula T1=MT×exp(-α×max(YCij / (ASi-AXi))), where α is the adjustment coefficient and the specific value is set according to experience; MT is the default interval, ASi is the pressure safety upper limit corresponding to the pressure value item numbered i; AXi is the pressure safety lower limit corresponding to the pressure value item numbered i; YCij is the pressure difference; it is calculated by the formula YCij=min(|YLij-ASi|, |YLij-AXi|), where YLij is the jth pressure value in the pressure value item numbered i; in this embodiment, the pressure difference between each pressure value item and its corresponding warning pressure range is calculated by the above formula,

[0087] Among them, when i=1, the pressure value item is the pressure tank pressure, and its corresponding warning pressure range is the pressure tank pressure safety range; when i=2, the pressure value item is the brake pipe pressure, and its corresponding warning pressure range is the brake pipe pressure safety range; when i=3, the pressure value item is the brake cylinder pressure, and its corresponding warning pressure range is the brake cylinder pressure safety range;

[0088] Generate a pressure acquisition signal and a speed acquisition signal according to the first acquisition interval time;

[0089] In this embodiment, the first collection interval time is calculated by the above formula; when the maximum difference between the pressure tank pressure, brake pipe pressure and brake cylinder pressure and their corresponding warning pressure range is larger, it means that the corresponding pressure abnormality is more serious and needs to be monitored in time; therefore, in this embodiment, when the difference is larger, the collection time interval set is smaller; otherwise, it is larger.

[0090] Obtain voltage data; determine whether the voltage value in the voltage data is within a set voltage safety range;

[0091] If yes, the second collection interval is set as the default interval;

[0092] If not, the second collection interval T2 is calculated by the formula T2=MT×exp(-β×min(|DY-DS|, |DY-DX|) / (DS-DX)); wherein β is an adjustment coefficient, and a specific value is set based on experience; DY is a voltage value; DS is an upper limit of a voltage safety range; DX is a lower limit of a voltage safety range; in this embodiment, the second collection interval is calculated by the above formula; the greater the difference between the voltage value and its corresponding voltage safety range, the more serious the corresponding voltage anomaly is, and timely monitoring is required; therefore, in this embodiment, the greater the difference, the smaller the collection time interval is set, and vice versa.

[0093] A voltage acquisition signal is generated according to the second acquisition interval; the acquisition signal includes a voltage acquisition signal, a pressure acquisition signal and a speed acquisition signal.

[0094] Generate voltage alarm signals based on voltage data, including:

[0095] The voltage value in the voltage data is extracted, and when the voltage value is not within the set voltage safety range, a voltage alarm signal is generated.

[0096] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0097] How this application works:

[0098] The present application obtains a collection signal, collects train travel information, voltage data and pressure data according to the collection signal; obtains the train travel information of the train, and generates a warning pressure range according to the train travel information; generates a pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure and brake cylinder pressure in the pressure data; issues an alarm according to the pressure alarm signal; generates a voltage alarm signal according to the voltage data; and issues an alarm according to the voltage alarm signal; generates a warning pressure range through the train travel information, so that the warning pressure range is more matched with the current travel status of the train, thereby improving the accuracy of the subsequently generated pressure alarm signal and increasing the safety during the train operation.

[0099] The above embodiments are only used to illustrate the technical method of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, a person of ordinary skill in the art should understand that the technical method of the present application may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present application.

Claims

1. An intelligent detection and alarm system for urban rail vehicles, comprising: The data acquisition module, the data processing module, the wireless transmission module, the voltage warning module, the wind pressure warning module, the terminal display module and the database are characterized in that: The data acquisition module is used to acquire acquisition signals and collect train travel information, voltage data and pressure data through a data acquisition device connected thereto according to the acquisition signals; The data processing module: acquires the train travel information of the train, generates a warning pressure range according to the train travel information; generates a pressure alarm signal according to the warning pressure range and the pressure tank pressure, brake pipe pressure and brake cylinder pressure in the pressure data; and generates a collection signal according to the warning pressure range, pressure data and voltage data; The voltage warning module: acquires voltage data, generates a voltage alarm signal according to the voltage data; and issues an alarm according to the voltage alarm signal; The wind pressure warning module is used to obtain a pressure alarm signal and to generate an alarm according to the pressure alarm signal; The terminal display module is used to display voltage data and pressure data, as well as voltage alarm signals and pressure alarm signals; The wireless transmission module is used to transmit voltage data and pressure data.

2. The intelligent detection and alarm system for urban rail vehicles according to claim 1, characterized in that: The generating of the warning pressure range according to the train travel information includes: Acquire the running state of the train, and when the running state of the train is the running state, extract the running speed, running acceleration and track information from the train running information; input the running speed, running acceleration and track information into the speed prediction model to obtain the predicted speed; take the larger value of the predicted speed and the running speed as the warning speed, and input the warning speed into the warning pressure range generation model to obtain the warning pressure range; wherein the speed prediction model is obtained by training the artificial intelligence model; When the train is in a braking state, the travel speed in the train travel information is extracted, and the travel speed is used as the warning speed; the warning speed is input into the warning pressure range generation model to obtain the warning pressure range; the warning pressure range generation model is obtained through artificial intelligence model training.

3. The intelligent detection and alarm system for urban rail vehicles according to claim 2 is characterized in that: The speed prediction model is obtained through artificial intelligence model training, including: Obtaining a number of historical driving speeds, historical running accelerations, track information, and historical driving speeds at the next moment through a database; integrating the historical driving speeds, historical running accelerations, track information, and historical driving speeds at the next moment into a number of sets of training data and test data; The artificial intelligence model is trained using training data, and the trained artificial intelligence model is tested using test data, to obtain an artificial intelligence model whose input is driving speed, running acceleration and track information, and whose output is the driving speed at the next moment, and the driving speed at the next moment is output as the predicted speed, finally obtaining a speed prediction model whose input is driving speed, running acceleration and track information, and whose output is the predicted speed, wherein the artificial intelligence model includes a BP neural network model and an RBF neural network model.

4. The intelligent detection and alarm system for urban rail vehicles according to claim 2, characterized in that: The warning pressure range generation model is obtained through artificial intelligence model training, including: Acquire a number of driving speeds and their corresponding brake pipe pressure safety ranges, pressure tank pressure safety ranges and brake cylinder pressure safety ranges through a database; integrate the driving speeds, brake pipe pressure safety ranges, pressure tank pressure safety ranges and brake cylinder pressure safety ranges into a number of sets of training data and test data; The artificial intelligence model is trained using training data, and the trained artificial intelligence model is tested using test data, and finally an artificial intelligence model is obtained whose input is driving speed and whose output is brake pipe pressure safety range, pressure tank pressure safety range and brake cylinder pressure safety range, and the brake pipe pressure safety range, pressure tank pressure safety range and brake cylinder pressure safety range are integrated into a warning pressure range for output, and finally a warning pressure range generation model is obtained whose input is driving speed and whose output is warning pressure range, wherein the warning speed is input as driving speed; the artificial intelligence model includes a BP neural network model and an RBF neural network model.

5. The intelligent detection and alarm system for urban rail vehicles according to claim 1, characterized in that: The pressure alarm signal is generated according to the warning pressure range and the pressure tank pressure, the brake pipe pressure and the brake cylinder pressure in the pressure data, including: Extract the brake pipe pressure safety range, the pressure tank pressure safety range and the brake cylinder pressure safety range from the warning pressure range; Determine in sequence whether the pressures of several brake cylinders corresponding to each carriage are within the safe range of brake cylinder pressures, and whether the brake pipe pressures are within the safe range of brake pipe pressures; If yes, then obtain the brake cylinder pressures of each carriage, and generate the corresponding carriage brake tag 1 according to the brake cylinder pressures; obtain the brake pipe pressure of each carriage, and generate the carriage brake tag 2 according to the brake pipe pressure of each carriage; when the carriage brake tag 1 and the carriage brake tag 2 are both normal, determine whether the pressure tank pressure is within the pressure tank pressure safety range, if yes, generate a pressure safety signal; if no, generate a pressure tank pressure abnormality signal; otherwise, generate a balance alarm signal according to the carriage brake tag 1 and the carriage brake tag 2; No, when the brake cylinder pressure is not within the brake cylinder pressure safety range, a brake cylinder pressure abnormality alarm signal is generated; otherwise, a brake cylinder pressure normal signal is generated; when the brake pipe pressure is not within the brake pipe pressure safety range, a brake pipe pressure abnormality alarm signal is generated; otherwise, a brake pipe pressure normal signal is generated; Among them, the pressure alarm signal includes a pressure safety signal, a pressure tank pressure abnormality signal, a balance alarm signal, a brake cylinder pressure abnormality alarm signal, a brake cylinder pressure normal signal, a brake pipe pressure abnormality alarm signal and a brake pipe pressure normal signal.

6. The intelligent detection and alarm system for urban rail vehicles according to claim 5, characterized in that: The method of generating a corresponding carriage brake tag according to a plurality of brake cylinder pressures comprises: Obtain several brake cylinder pressures of the same carriage, and determine whether the difference between the brake cylinder pressures is greater than difference threshold one; if yes, set the carriage brake tag one as abnormal; if no, obtain the average value of the brake cylinder pressures corresponding to each carriage, and determine whether the average value is greater than pressure difference two; if yes, set the carriage brake tag one as abnormal; if no, set the carriage brake tag one as normal.

7. The intelligent detection and alarm system for urban rail vehicles according to claim 5, characterized in that: The step of generating a carriage brake tag 2 according to the brake pipe pressure of each carriage includes: The brake pipe pressure of each carriage is obtained, and it is determined whether the brake pipe pressure between adjacent carriages is less than the difference threshold value three; if yes, the carriage brake tag two is set to normal; if no, the carriage brake tag two is set to abnormal.

8. The intelligent detection and alarm system for urban rail vehicles according to claim 5, characterized in that: Generating the equalization alarm signal according to the carriage brake tag 1 and the carriage brake tag 2 includes: When the carriage brake tag 1 is abnormal and the carriage brake tag 2 is normal, a brake cylinder balance alarm signal is generated; When the carriage brake tag 1 is normal and the carriage brake tag 2 is abnormal, a brake pipe balancing alarm signal is generated; When the carriage brake tag 1 is abnormal and the carriage brake tag 2 is abnormal, a pressure equalization alarm signal is generated; The equalization alarm signal includes a brake cylinder equalization alarm signal, a brake pipe equalization alarm signal and a pressure equalization alarm signal.

9. The intelligent detection and alarm system for urban rail vehicles according to claim 1, characterized in that: Generating the acquisition signal according to the warning pressure range, pressure data and voltage data includes: Obtain the warning pressure range and pressure data; determine whether each pressure value item in the pressure data is within its corresponding warning pressure range; If yes, the first collection interval is set as the default interval; If not, the first collection interval T1 is calculated by the formula T1=MT×exp(-α×max(YCij / (ASi-AXi))), where α is the adjustment coefficient; MT is the default interval, ASi is the pressure safety upper limit corresponding to the pressure value item numbered i; AXi is the pressure safety lower limit corresponding to the pressure value item numbered i; YCij is the pressure difference; calculated by the formula YCij=min(|YLij-ASi|, |YLij-AXi|); YLij is the jth pressure value in the pressure value item numbered i; Among them, when i=1, the pressure value item is the pressure tank pressure, and its corresponding warning pressure range is the pressure tank pressure safety range; when i=2, the pressure value item is the brake pipe pressure, and its corresponding warning pressure range is the brake pipe pressure safety range; when i=3, the pressure value item is the brake cylinder pressure, and its corresponding warning pressure range is the brake cylinder pressure safety range; Generate a pressure acquisition signal and a speed acquisition signal according to the first acquisition interval time; Obtain voltage data; determine whether the voltage value in the voltage data is within a set voltage safety range; If yes, the second collection interval is set as the default interval; If not, the second collection interval T2 is calculated by the formula T2=MT×exp(-β×min(|DY-DS|,|DY-DX|) / (DS-DX)); wherein β is the adjustment coefficient; DY is the voltage value; DS is the upper limit of the voltage safety range; DX is the lower limit of the voltage safety range; Generate a voltage acquisition signal according to the second acquisition interval time; The acquisition signals include voltage acquisition signals, pressure acquisition signals and speed acquisition signals.

10. The intelligent detection and alarm system for urban rail vehicles according to claim 1, characterized in that: The step of generating a voltage alarm signal according to the voltage data comprises: The voltage value in the voltage data is extracted, and when the voltage value is not within the set voltage safety range, a voltage alarm signal is generated.

Images