Intelligent monitoring method, system and device for long-distance driving state of large carrying vehicle and storage medium

Abstract

The invention discloses an intelligent monitoring method and system for the long-distance driving state of a large-scale carrier vehicle, and the method comprises the steps: obtaining the real-time temperatures T1, T2... Tm of m tires in the driving process of the vehicle; calculating a maximum temperature difference value T0 and an average temperature value Tave based on T1, T2... Tm; comparing the maximum temperature difference value T0 with a preset safety temperature difference value T0 ', and if T0 is greater than T0', respectively comparing Tmax with Tave and Tmin with Tave; at the moment, the Tmax is compared with a preset safe high temperature value Tmax ', and if Tmax is larger than Tmax', an alarm is started; and at the moment, comparing Tmin with a preset safe low temperature value Tmin ', and if Tmin is less than Tmin', starting an alarm. The real-time temperature of each tire is obtained and analyzed in the vehicle running process, whether the tires have potential safety hazards or not is pre-judged by setting multiple comparison modes, the multiple modes are combined for analysis to achieve the purpose of early warning in advance, passive emergency after the vehicle breaks down in the running process is converted into active prevention, and the safety of the vehicle is improved. The accident rate is greatly reduced, and the vehicle driving safety and the road traffic safety are ensured.

Description

Technical Field

[0001] This invention relates to the field of transportation safety technology, and in particular to a method, system, device, and storage medium for intelligent monitoring of the long-distance driving status of large transport vehicles. Background Technology

[0002] Long-distance transport by large vehicles is characterized by high load capacity, long travel time, complex road conditions (uphill / downhill / highway), and heavy tire load. Tire failures (blowouts, fires, abnormal wear) are one of the core causes of traffic accidents. According to data from the Ministry of Transport, more than 30% of traffic accidents involving large vehicles are related to tires. Therefore, real-time analysis of tire temperature values ​​and their changing trends during vehicle operation is beneficial for early warning of sudden tire failures, reducing the incidence of accidents, and ensuring the safety of people, vehicles, and goods. Summary of the Invention

[0003] To address the technical problems existing in the background art, this invention proposes a method, system, device, and storage medium for intelligent monitoring of the long-distance driving status of large transport vehicles.

[0004] This invention proposes an intelligent monitoring method for the long-distance driving status of large transport vehicles, comprising: During vehicle operation, the real-time temperatures T1, T2...T of m tires are obtained. m ; Based on T1, T2...T m Calculate the maximum temperature difference T0 and the average temperature T. ave ;

[0005] Compare the maximum temperature difference T0 with the preset safe temperature difference T0′. If T0 > T0′, compare T0′ with the maximum temperature difference T0′. max With T ave T min With T ave ; when At that time, compare T max Compared with the preset safe high temperature value T max If T max >T max ', activate the alarm; when At that time, compare T min With the preset safe low temperature value T min If T min <T min ', activate the alarm; Where 'a' is a preset value. .

[0006] Optionally, a preset temperature critical threshold range is also provided; When T max When the temperature exceeds the preset critical threshold range, obtain T. max The corresponding tire temperature rise rate f in the first b minutes r If f r Higher than the preset safe temperature rise rate f r0 Activate the alarm; When T min When the temperature exceeds the preset critical threshold range, obtain T. min The corresponding tire temperature drop rate f in the first c minutes f If f f Below the preset safe temperature drop rate f f0 Activate the alarm; Where b and c are both preset values.

[0007] Optionally, a temperature change monitoring mode is also provided, which is used for: when At that time, record T max The temperature change curve of the tire is corresponding to the slope of the temperature change curve calculated according to a preset time d. When the slope exceeds the preset safe slope threshold range, an alarm is triggered. when At that time, record T min The temperature change curve of the tire is corresponding to the slope of the temperature change curve calculated according to a preset time e. When the slope exceeds the preset safe slope threshold range, an alarm is triggered. Wherein, d and e are both preset values, and the unit is seconds or minutes.

[0008] Optionally, a tire pressure monitoring mode is also provided, which is used for: when and / or When, obtain T max and T min The real-time tire pressures P1 and P2 of the corresponding tires will trigger an alarm when P1 and / or P2 exceed the preset safe tire pressure threshold range.

[0009] This invention proposes an intelligent monitoring system for the long-distance driving status of large transport vehicles, comprising: The tire temperature acquisition unit is used to acquire the real-time temperatures T1, T2…T of m tires during vehicle operation. m ; Temperature numerical calculation unit, used for calculations based on T1, T2…T m Calculate the maximum temperature difference T0 and the average temperature T. ave ;

[0010] The temperature change analysis unit compares the maximum temperature difference T0 with the preset safe temperature difference T0′. When T0 > T0′, it further compares T0′ with the maximum temperature difference T0′. max With T ave T min With T ave ; Temperature anomaly early warning unit, used when At that time, compare T max Compared with the preset safe high temperature value T max If T max >T max ′, activate alarm; when At that time, compare T min With the preset safe low temperature value T min If T min <T min ', activate the alarm; Where 'a' is a preset value. .

[0011] Optionally, the temperature anomaly early warning unit is further provided with a preset temperature critical threshold range; When T max When the temperature exceeds the preset critical threshold range, obtain T. max The corresponding tire temperature rise rate f in the first b minutes r If f r Higher than the preset safe temperature rise rate f r0 The temperature anomaly warning unit activates an alarm; When T min When the temperature exceeds the preset critical threshold range, obtain T. min The corresponding tire temperature drop rate f in the first c minutes f If f f Below the preset safe temperature drop rate f f0 The temperature anomaly warning unit activates an alarm; Where b and c are both preset values.

[0012] Optionally, the temperature anomaly early warning unit also includes a temperature change monitoring mode, which is used for: when At that time, record T max The temperature change curve of the tire is used as the reference, and the slope of the temperature change curve is calculated according to a preset time d. When the slope exceeds the preset safe slope threshold range, the temperature abnormality warning unit starts an alarm. when At that time, record T min The temperature change curve of the tire is corresponding to the temperature change curve, and the slope of the temperature change curve is calculated according to a preset time e. When the slope exceeds the preset safe slope threshold range, the temperature abnormality warning unit starts an alarm. Wherein, the d, e are all preset values, unit is second or minute.

[0013] Optionally, the temperature abnormality early warning unit is also provided with a tire pressure abnormality monitoring mode, which is used for: When And / or T max And T min Corresponding real-time tire pressure P1 and P2 of the tire, when P1 and / or P2 exceed a preset safe tire pressure threshold range, the temperature abnormality early warning unit starts alarm.

[0014] The application provides a large carrying vehicle long-distance driving state intelligent monitoring device, including: a memory and a processor, the memory is used for storing information including program instructions, the processor is used for controlling the execution of program instructions, the program instructions are loaded and executed by the processor to realize the large carrying vehicle long-distance driving state intelligent monitoring method.

[0015] The application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the large carrying vehicle long-distance driving state intelligent monitoring method.

[0016] Compared with the prior art, the large carrying vehicle long-distance driving state intelligent monitoring method and system have at least the following beneficial effects: The application obtains the real-time temperature of each tire during vehicle driving and analyzes, and judges whether there is a safety hazard in the tire through setting multiple comparison modes, which include direct comparison, hierarchical progressive comparison and the like, so as to achieve the purpose of early warning, convert passive emergency after the vehicle failure into active prevention during driving, greatly reduce the accident rate, and ensure the vehicle driving safety and road traffic safety. Specifically, the application first judges whether there is a situation that the temperature difference of the tires of the same vehicle is too large by analyzing the maximum temperature value and the minimum temperature value of the multiple tires of the vehicle, if yes, further analyzes the size relationship between the maximum temperature value, the minimum temperature value and the average temperature value, if the analysis result prompts that the second step analysis still exists abnormality, the third step directly compares the maximum temperature value and the minimum temperature value with the safety temperature value, and performs warning based on the comparison result; in this way, not only the misjudgment caused by using single step comparison analysis result can be prevented, but also the accuracy of the judgment result can be improved through multiple comparison modes, the interference on the driver and driving state caused by misjudgment during long-distance driving is avoided, and early warning can be performed when there is a real safety risk, so as to comprehensively ensure the safety of long-distance transportation. Further, the application also analyzes the temperature change rate of the tire corresponding to the maximum temperature value and the minimum temperature value, and timely performs warning when the temperature rises sharply or drops sharply, so as to inform the driver and / or the supervision platform to take targeted safety prevention measures. Further, the application also judges whether the temperature exists abnormal fluctuation by calculating the slope of the temperature change curve within the preset time, and performs warning if yes; the abnormal risk of the tire is captured in advance through multiple modes, the diversity of the judgment method and the accuracy of the analysis result are comprehensively improved, and intelligent monitoring strategy is provided for long-distance driving safety of large carrying vehicles. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 It is a flow chart of a large carrying vehicle long-distance driving state intelligent monitoring method. Figure 2 It is a module diagram of a large carrying vehicle long-distance driving state intelligent monitoring system. DETAILED DESCRIPTION

[0018] As shown in Figure 1 , Figure 1 It is a flow chart of a large carrying vehicle long-distance driving state intelligent monitoring method proposed by the application.

[0019] Referring to Figure 1 , the large carrying vehicle long-distance driving state intelligent monitoring method proposed by the application comprises: During vehicle driving, the real-time temperatures T1, T2…T m of m tires are obtained. Based on T1, T2…T mCalculate the maximum temperature difference T0 and the average temperature T. ave ;

[0020] Compare the maximum temperature difference T0 with the preset safe temperature difference T0′. If T0 > T0′, compare T0′ with the maximum temperature difference T0′. max With T ave T min With T ave ; when At that time, compare T max Compared with the preset safe high temperature value T max If T max >T max ', activate the alarm; when At that time, compare T min With the preset safe low temperature value T min If T min <T min ', activate the alarm; Where 'a' is a preset value. This implementation method first compares the maximum and minimum temperatures of all tires in the vehicle to determine if there is a significant temperature difference among the tires. If so, there may be safety hazards such as uneven stress or abnormal braking system. To prevent misjudgment and improve the accuracy of the judgment, the relationship between the maximum and minimum temperature values ​​and the average temperature value is analyzed separately. If there is still a significant temperature difference, a safety risk is confirmed. To prevent the risk from escalating further, an alarm is immediately triggered, and the driver and / or the monitoring platform are notified to quickly take targeted countermeasures to minimize the risk and loss.

[0021] In a further embodiment, a preset temperature critical threshold range is also provided; when T max When the temperature exceeds the preset critical threshold range, obtain T. max The corresponding tire temperature rise rate f in the first b minutes r If f r Higher than the preset safe temperature rise rate f r0 Activate alarm; when T min When the temperature exceeds the preset critical threshold range, obtain T. min The corresponding tire temperature drop rate f in the first c minutes f If f f Below the preset safe temperature drop rate f f0 An alarm is triggered; where b and c are preset values. This implementation method uses the analysis of temperature change rate to identify safety risks. When the rate of temperature increase and / or decrease is significantly abnormal, an alarm is immediately triggered to notify the driver and / or monitoring platform to investigate the cause in a timely manner and prevent further deterioration of the abnormal situation.

[0022] In further embodiments, a temperature change monitoring mode is also provided, which is used for: When , record T max The temperature change curve corresponding to the tire, and calculate the slope of the temperature change curve according to the preset time d, and when the slope exceeds the preset safety slope threshold range, start the alarm; when , record T min The temperature change curve corresponding to the tire, and calculate the slope of the temperature change curve according to the preset time e, and when the slope exceeds the preset safety slope threshold range, start the alarm; wherein, the d, e are both preset values, units are seconds or minutes. The above mode can know whether the tire has abnormal acceleration heating / cooling condition, whether there is heat production out of control, through the sudden increase of the slope of the temperature curve, to prove the abnormal temperature change of the target tire, and then alarm to notify the driver and / or the monitoring platform to pay attention to the abnormal information, in order to quickly respond, take targeted safety prevention and control scheme, reduce the accident rate and property loss.

[0023] In further embodiments, a tire pressure abnormality monitoring mode is also provided, which is used for: when And / or , obtain T max And T min The real-time tire pressure P1 and P2 of the tire corresponding to the tire, and when P1 and / or P2 exceed the preset safety tire pressure threshold range, start the alarm. This embodiment finds that the temperature of the tire is abnormal, analyzes the tire pressure of the abnormal tire, analyzes whether the pressure and temperature change trend match by correlating the temperature and pressure, and if the change amplitude of the tire pressure is much higher than the temperature change amplitude, or the tire pressure decreases but the temperature rises, etc. Abnormal situation, alarm immediately, handle in time and ensure safety.

[0024] Referring to Figure 2 , the present application provides a large carrying vehicle long-distance driving state intelligent monitoring system, comprising: A tire temperature acquisition unit is used to acquire the real-time temperature T1, T2…T m of m tires during vehicle driving; A temperature value calculation unit is used to calculate the maximum temperature difference value T0, the average temperature value T ave based on T1, T2…T m ;

[0025] A temperature change analysis unit is used to compare the maximum temperature difference value T0 with the preset safety temperature difference value T0', when T0>T0', compare T max and T ave , T min and Tave ; Temperature anomaly early warning unit, used when At that time, compare T max Compared with the preset safe high temperature value T max If T max >T max ′, activate alarm; when At that time, compare T min With the preset safe low temperature value T min If T min <T min ', activate the alarm; Where 'a' is a preset value. This embodiment also includes an ambient temperature compensation mode, which is used to adjust the T based on the real-time ambient temperature of the vehicle's driving area. max and T min Dynamic correction is performed to eliminate the impact of ambient temperature difference on the accuracy of tire temperature detection; the dynamic correction is based on a preset temperature compensation curve model, which is trained with historical data and automatically adjusted with the season and geographical region.

[0026] In a further embodiment, the temperature anomaly early warning unit is further provided with a preset temperature critical threshold range; when T max When the temperature exceeds the preset critical threshold range, obtain T. max The corresponding tire temperature rise rate f in the first b minutes r If f r Higher than the preset safe temperature rise rate f r0 The temperature anomaly early warning unit activates an alarm; when T min When the temperature exceeds the preset critical threshold range, obtain T. min The corresponding tire temperature drop rate f in the first c minutes f If f f Below the preset safe temperature drop rate f f0 The temperature anomaly warning unit activates an alarm; where b and c are preset values. Analyzing the tire's temperature rise rate (temperature increase per unit time) and temperature drop rate (temperature decrease per unit time) can accurately determine if there are potential risks to the tire. The temperature rise rate reflects the balance between heat generation and dissipation in the tire, while the temperature drop rate reflects the tire's heat dissipation capacity, sealing condition, and adaptability to the external environment. Abnormal rates indicate various risk issues such as heat overload, impaired heat dissipation, and tire sealing problems. This embodiment analyzes the rate of tire temperature change to predict risks in advance and promptly sends the fault diagnosis results to the driver and / or monitoring platform for rapid implementation of targeted solutions. This achieves precise, safe, and intelligent management of long-distance transport vehicles, which helps reduce the incidence of tire-related accidents and improve transportation safety.

[0027] In a further embodiment, the temperature anomaly early warning unit is also provided with a temperature change monitoring mode, which is used to record T when the temperature change curve corresponding to the tire, and calculate the slope of the temperature change curve according to a preset time d, and when the slope exceeds a preset safety slope threshold range, the temperature anomaly early warning unit starts an alarm. max In a further embodiment, the temperature anomaly early warning unit is also provided with a temperature change monitoring mode, which is used to record T when the temperature change curve corresponding to the tire, and calculate the slope of the temperature change curve according to a preset time d, and when the slope exceeds a preset safety slope threshold range, the temperature anomaly early warning unit starts an alarm. min In a further embodiment, the temperature anomaly early warning unit is also provided with a temperature change monitoring mode, which is used to record T when the temperature change curve corresponding to the tire, and calculate the slope of the temperature change curve according to a preset time d, and when the slope exceeds a preset safety slope threshold range, the temperature anomaly early warning unit starts an alarm.

[0028] In a further embodiment, the temperature anomaly early warning unit is also provided with a tire pressure anomaly monitoring mode, which is used to acquire T and / or when the real-time tire pressure P1 and P2 of the corresponding tire, and when P1 and / or P2 exceed a preset safety tire pressure threshold range, the temperature anomaly early warning unit starts an alarm. max In a further embodiment, the temperature anomaly early warning unit is also provided with a tire pressure anomaly monitoring mode, which is used to acquire T min and / or P2 of the corresponding tire, and when P1 and / or P2 exceed a preset safety tire pressure threshold range, the temperature anomaly early warning unit starts an alarm. This embodiment introduces the tire pressure parameter, and cooperatively analyzes the temperature and the tire pressure, breaking the limitation of single parameter monitoring. The tire burst of large vehicles is often caused by the coupling of high temperature accumulation and abnormal tire pressure. Simultaneously monitoring the temperature and the tire pressure forms a safety control means of double-parameter cooperative diagnosis and early warning, improves the early warning accuracy, better meets the needs of active prevention and precise control of modern logistics, greatly reduces the occurrence rate of tire-related accidents, and protects the safety of people's lives and property.

[0029] The present application provides a large carrying vehicle long-distance driving state intelligent monitoring device, which comprises a memory and a processor, the memory is used to store information including program instructions, the processor is used to control the execution of program instructions, and the program instructions are loaded and executed by the processor to realize the large carrying vehicle long-distance driving state intelligent monitoring method.

[0030] The present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the large carrying vehicle long-distance driving state intelligent monitoring method.

[0031] The above merely describes preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art, according to the technical solution and inventive concept of the present application, makes equivalent replacement or change within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A large carrying vehicle long-distance driving state intelligent monitoring method, characterized in that, Comprise: During the vehicle driving, the real-time temperatures T1, T2…Tm of the m tires are acquired m ; Based on T1, T2...T m The maximum temperature difference value T0, the average temperature value T ave ; Comparing the maximum temperature difference value T0 with the preset safety temperature difference value T0', if T0 > T0', comparing T max with T ave , T min with T ave ; when At that time, compare T max Compared with the preset safe high temperature value T max If T max >T max ', activate the alarm; When T min T min ′, if T min T min ′, an alarm is started. wherein a is a predetermined value, .

2. The method according to claim 1, wherein Further provided is a preset temperature critical threshold range. When T max When T max The temperature rise rate f r If f r If f r0 An alarm is started. When T min When the temperature exceeds the preset critical threshold range, obtain T. min The corresponding tire temperature drop rate f in the first c minutes f If f f Below the preset safe temperature drop rate f f0 Activate the alarm; Wherein b and c are both preset values.

3. The method of claim 1, wherein the method further comprises: Further provided is a temperature change monitoring mode, which is used for: when At that time, record T max The temperature change curve of the tire is corresponding to the slope of the temperature change curve calculated according to a preset time d. When the slope exceeds the preset safe slope threshold range, an alarm is triggered. when At that time, record T min The temperature change curve of the tire is corresponding to the slope of the temperature change curve calculated according to a preset time e. When the slope exceeds the preset safe slope threshold range, an alarm is triggered. Wherein d and e are both preset values, in seconds or minutes.

4. The method of claim 1, wherein the method is characterized by, Further provided is a tire pressure abnormality monitoring mode, which is used for: When and / or T max and T min corresponding real-time tire pressure P1 and P2 of the tires, and when P1 and / or P2 exceeds a preset safe tire pressure threshold range, an alarm is started.

5. A large carrying vehicle long-distance driving state intelligent monitoring system, characterized in that, Comprise: The tire temperature acquisition unit is configured to acquire real-time temperatures T1, T2, …, Tm of the m tires during vehicle driving. m ; temperature value calculation unit for calculating a maximum temperature difference value T0, an average temperature value T m calculating a maximum temperature difference value T0, an average temperature value T ave ; The temperature change analysis unit is used to compare the maximum temperature difference value T0 with a preset safety temperature difference value T0', and when T0>T0', T0 is compared with T max with T ave , T min with T ave ; The temperature anomaly early warning unit is used for comparing T with the preset safe high temperature value T max ′, if T max >T max T max ′, starting alarm; when , comparing T min with the preset safe low temperature value T min ′, if T min T min ′, starting alarm; wherein a is a predetermined value, .

6. The intelligent monitoring system for long distance driving state of large carrying vehicle according to claim 5, characterized in that, The temperature abnormality early warning unit further comprises a preset temperature critical threshold range. When T max When T max The temperature rise rate f of the corresponding tire in the previous b minutes r If f r If f r0 The temperature abnormality warning unit starts an alarm When T min When T min The temperature abnormality warning unit starts an alarm when f f f f0 , the temperature abnormality warning unit starts an alarm;​​ Wherein b and c are both preset values.

7. The intelligent monitoring system for long distance driving state of large carrying vehicle according to claim 5, characterized in that, The temperature abnormality early warning unit further comprises a temperature change monitoring mode, which is used for: when At that time, record T max The temperature change curve of the tire is used as the reference, and the slope of the temperature change curve is calculated according to a preset time d. When the slope exceeds the preset safe slope threshold range, the temperature abnormality warning unit starts an alarm. when At that time, record T min The temperature change curve of the tire is corresponding to the temperature change curve, and the slope of the temperature change curve is calculated according to a preset time e. When the slope exceeds the preset safe slope threshold range, the temperature abnormality warning unit starts an alarm. Wherein d and e are both preset values, in seconds or minutes.

8. The intelligent monitoring system for long distance driving state of large carrying vehicle according to claim 5, characterized in that, The temperature abnormality early warning unit further comprises a tire pressure abnormality monitoring mode, which is used for: When and / or T max and T min corresponding to the real-time tire pressure P1 and P2 of the tires, when P1 and / or P2 exceeds the preset safe tire pressure threshold range, the temperature anomaly warning unit starts an alarm.

9. A large carrying vehicle long-distance driving state intelligent monitoring device, comprising: A memory and a processor, the memory is used for storing information comprising program instructions, the processor is used for controlling the execution of program instructions, characterized in that: the program instructions are loaded and executed by the processor to realize the large carrying vehicle long-distance driving state intelligent monitoring method of any one of claims 1 to 4.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the large carrying vehicle long-distance driving state intelligent monitoring method of any one of claims 1 to 4.

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