Remote monitoring system for emergency power supply vehicle

Abstract

The invention relates to the technical field of power supply equipment safety monitoring, in particular to an emergency power supply vehicle remote monitoring system, which adopts a temperature and vibration two-parameter collaborative analysis model to construct a dynamic risk assessment decision plane, and accurately identifies an equipment abnormal state by calculating a temperature change trend and vibration energy distribution in real time. Wherein the temperature monitoring module is combined with a sliding differential algorithm to capture instantaneous temperature change characteristics, the vibration analysis module introduces a frequency domain weighting technology to optimize fusion analysis of multi-axial vibration data, and the reliability of composite risk judgment is effectively improved. The vibration monitoring module prejudges the mechanical impact possibly borne by the equipment based on a vibration transmission model, and the advanced early warning capability of the transportation risk is formed. Through a multi-module synergistic effect, full-link intelligent monitoring from environment perception, risk prediction to cloud collaboration is realized, and the safety guarantee capability of high-precision power supply equipment in a complex transportation environment is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply equipment safety monitoring, and in particular to a remote monitoring system for an emergency power supply vehicle. Background Art

[0002] With the construction of 5G networks and the large-scale development of data centers, the reliability requirements for power supply in communication infrastructure are increasing exponentially. Emergency power supply vehicles, which serve as backup power sources for critical facilities such as communication base stations and data centers, have a significant impact on the reliability of high-precision power supply equipment (such as fuel cell stacks and lithium-ion energy storage systems) valued at millions of yuan.

[0003] Traditional monitoring systems mostly use discrete sensor deployment solutions, and their single-dimensional monitoring mode makes it difficult to capture the coupling characteristics of equipment degradation. Existing monitoring systems usually independently collect parameters such as temperature and vibration, and lack dynamic analysis of the temperature-vibration synergistic effect, resulting in the inability to accurately identify thermal runaway precursors caused by mechanical shock. In addition, the current vibration assessment system lacks frequency domain-time domain fusion analysis capabilities. In actual transportation, when the vehicle excitation frequency is close to the equipment's natural frequency (usually distributed between 80-250Hz), even if the overall vibration level does not exceed the standard, the resonance effect may still cause the precision circuit board solder joints to break.

[0004] Therefore, there is an urgent need for a monitoring system that can perform real-time assessment of the transportation risk of power supply equipment through multi-parameter collaborative analysis during the transportation of power supply equipment. Summary of the Invention

[0005] The technical problem solved by the present invention is to provide a remote monitoring system for emergency power supply vehicles to solve the problem of real-time assessment of transportation risks of power supply equipment through multi-parameter collaborative analysis during transportation.

[0006] A remote monitoring system for emergency power supply vehicles, comprising a cloud platform and an on-board terminal wirelessly connected to the cloud platform. The on-board terminal includes a temperature monitoring module, a vibration monitoring module, a temperature-vibration collaborative analysis module, an early warning module, and a communication module. The communication module is used to establish a wireless connection with the cloud platform.

[0007] The temperature detection module is used to collect temperature data of the power supply equipment; the vibration monitoring module is used to obtain vibration amplitude data of the power supply equipment; the temperature-vibration collaborative analysis module is used to analyze the transportation risk level of the power supply equipment based on the temperature data and vibration amplitude data of the power supply equipment, including the following steps:

[0008] Construct a two-parameter decision plane:

[0009]

[0010] Temperature change rate Calculation using sliding differential:

[0011]

[0012] Vibration amplitude G RMS Using 1 / 3 octave weighting:

[0013]

[0014] Where T is temperature, t is temperature sampling time, Δt is the time interval of temperature sampling, τ is the exponential smoothing time constant, G RMS is the vibration amplitude, N is the number of samples, G x , G y and G z They correspond to the acceleration of the vehicle's longitudinal, lateral and vertical motion axes respectively; when Alert=0, the temperature-vibration collaborative analysis module determines it to be in a normal state; when Alert=1, it is determined to be in a high-risk state, the early warning module issues an alarm and transmits the alarm signal to the cloud platform through the communication module.

[0015] Furthermore, the vibration monitoring module includes a data acquisition module and a vibration amplitude calculation module; the data acquisition module includes a positioning module, a vehicle speed acquisition module, a vehicle information acquisition module, and a road surface information acquisition module; the positioning module is used to obtain vehicle positioning information; the road surface information acquisition module is used to obtain the road surface grade of the current road section based on the positioning information through the cloud platform, and obtain the road surface power spectrum density from the road surface grade; the vehicle speed acquisition module is used to collect the real-time speed of the vehicle; the vehicle information acquisition module is used to obtain the suspension system impedance coefficient of the current vehicle through the cloud platform; the vibration amplitude calculation module is used to calculate the vibration amplitude G of the device:

[0016]

[0017] Where G is the vibration amplitude of the equipment, f n is the natural frequency of the equipment, S q (f) is the road surface power spectrum density, v is the vehicle speed, Z0 is the suspension system impedance coefficient, and ξ(P) is the road surface correction factor.

[0018] Furthermore, the vibration monitoring module also includes an index evaluation module, and the early warning module is further provided with an early warning threshold. The index evaluation module is used to calculate the composite vibration evaluation index EVI. The calculation of the composite vibration evaluation index includes:

[0019]

[0020] Where PSD(f) is the power spectrum density of the vibration signal, f 1.5 is the frequency weight factor, G pkIt is the maximum instantaneous acceleration value of the vibration signal in the time domain. When the composite vibration evaluation index EVI reaches the warning threshold, the warning module issues a vibration risk warning.

[0021] Furthermore, the warning module is also provided with a temperature change threshold and a vibration amplitude threshold. When the temperature change rate and the vibration amplitude reach the temperature change threshold and the vibration amplitude threshold respectively, the warning module will also enforce speed limit through the vehicle's PID controller.

[0022] Furthermore, it also includes an emergency fire extinguishing module, which includes a fire extinguishing agent container and a solenoid valve that controls the nozzle of the fire extinguishing agent container. The emergency fire extinguishing module is provided with a temperature threshold. When the temperature of the power supply equipment reaches the temperature threshold, the emergency fire extinguishing module controls the solenoid valve to open and release the fire extinguishing agent in the fire extinguishing agent container to extinguish the fire.

[0023] Furthermore, it also includes a cooling module, which is provided with a high temperature warning threshold. When the temperature rise rate of the power supply equipment reaches the temperature change threshold, the cooling module cools the battery unit.

[0024] Furthermore, the cooling module performs temperature control via an air conditioner installed inside the power supply device.

[0025] The principles and advantages of the present invention are as follows: the present invention realizes all-round safety monitoring and active protection of the transportation process of power supply equipment through multi-dimensional perception and intelligent analysis mechanism. The system adopts a temperature and vibration dual-parameter collaborative analysis model to construct a dynamic risk assessment decision plane, and accurately identifies abnormal equipment status by calculating the temperature change trend and vibration energy distribution in real time. Among them, the temperature monitoring module combines the sliding differential algorithm to capture the instantaneous temperature change characteristics, and the vibration analysis module introduces frequency domain weighting technology to optimize the fusion analysis of multi-axial vibration data, effectively improving the reliability of composite risk judgment. The vibration monitoring module predicts the mechanical impact that the equipment may withstand based on the vibration transfer model, forming an advanced warning capability for transportation risks. Through the synergistic effect of multiple modules, full-link intelligent monitoring from environmental perception, risk prediction to cloud collaboration is realized, greatly improving the safety assurance capability of high-precision power supply equipment in complex transportation environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a logic block diagram of an embodiment of a remote monitoring system for an emergency power supply vehicle of the present invention. DETAILED DESCRIPTION

[0027] The following is further described in detail through specific implementation methods:

[0028] The specific implementation process is as follows:

[0029] Example 1

[0030] Example 1 is basically as shown in the attached Figure 1 As shown, a remote monitoring system for emergency power supply vehicles includes a cloud platform and an on-board terminal wirelessly connected to the cloud platform. The on-board terminal includes a temperature monitoring module, a vibration monitoring module, a temperature-vibration collaborative analysis module, an early warning module, and a communication module. The communication module is used to establish a wireless connection with the cloud platform.

[0031] The temperature detection module is used to collect temperature data from the power supply equipment; the vibration monitoring module is used to obtain vibration amplitude data from the power supply equipment. Specifically, the vibration monitoring module includes a data acquisition module and a vibration amplitude calculation module; the data acquisition module includes a positioning module, a vehicle speed acquisition module, a vehicle information acquisition module, and a road surface information acquisition module; the positioning module is used to obtain vehicle positioning information; the road surface information acquisition module is used to obtain the road surface grade of the current road section based on the positioning information through the cloud platform, and obtain the road surface power spectrum density from the road surface grade; the vehicle speed acquisition module is used to collect the real-time speed of the vehicle; the vehicle information acquisition module is used to obtain the current vehicle's suspension system impedance coefficient through the cloud platform; and the vibration amplitude calculation module is used to calculate the vibration amplitude G of the device:

[0032]

[0033] Where G is the vibration amplitude of the equipment, f n is the natural frequency of the equipment, S q (f) is the road surface power spectrum density, v is the vehicle speed, Z0 is the suspension system impedance coefficient, and ξ(P) is the road surface correction factor.

[0034] The temperature-vibration collaborative analysis module is used to analyze the transportation risk level of the power supply equipment based on the temperature data and vibration amplitude data of the power supply equipment, including the following steps:

[0035] Construct a two-parameter decision plane:

[0036]

[0037] Temperature change rate Calculation using sliding differential:

[0038]

[0039] Vibration amplitude G RMS Using 1 / 3 octave weighting:

[0040]

[0041] Where T is temperature, t is temperature sampling time, Δt is the time interval of temperature sampling, τ is the exponential smoothing time constant, in this embodiment τ = 5s to ensure smoothing effect, G RMS is the vibration amplitude, N is the number of samples, G x, G y and G z They correspond to the acceleration of the three longitudinal, lateral and vertical motion axes of the vehicle respectively; when Alert=0, the temperature-vibration collaborative analysis module determines it to be in a normal state, and when Alert=1, it is determined to be in a high-risk state. The early warning module issues an alarm and transmits the alarm signal to the cloud platform through the communication module. Among them, the early warning module is also provided with a temperature change threshold and a vibration amplitude threshold. When the temperature change rate and the vibration amplitude reach the temperature change threshold and the vibration amplitude threshold respectively, the early warning module will also enforce speed limit through the vehicle's PID controller. After the cloud platform in this embodiment receives the alarm signal, it generates the road section speed limit information based on the current driving section information and driving speed of the vehicle. When the subsequent emergency power supply vehicle passes through the road section, the cloud platform sends a road section speed limit reminder message to the target vehicle to ensure the safe passage of the subsequent emergency power supply vehicle.

[0042] In addition, the vibration monitoring module in this embodiment also includes an index evaluation module. The index evaluation module is provided with an early warning threshold. The calculation of the composite vibration evaluation index includes:

[0043]

[0044] Where PSD(f) is the power spectrum density of the vibration signal, f 1.5 is the frequency weight factor, G pk is the maximum instantaneous acceleration value of the vibration signal in the time domain. Its first term (integral term) is used to quantify the cumulative damage of continuous vibration. Low frequency is used to dominate fatigue, and high frequency is used to dominate local overheating. Since high frequency is more likely to cause thermal effects (such as friction heating) and microcrack propagation, the denominator f 1.5 Can give high frequency vibration a higher weight; the second item (0.2G pk ) is used to quantify the instantaneous risk of sudden conflicts; when the composite vibration evaluation index EVI reaches the warning threshold, the warning module issues a vibration risk warning.

[0045] During the specific implementation of this embodiment, the emergency power supply vehicle travels at 60 km / h over a Class D road (S q (f) = 256 × 10 -6 ), PSD(f) reaches 0.05g at 100Hz 2 / Hz,G pk Because of the potholes on the road, the force reached 4.2g.

[0046]

[0047] If the warning threshold value of 2.5 in this embodiment is exceeded, a vibration alarm is triggered.

[0048] In addition, this embodiment also includes an emergency fire extinguishing module, which includes a fire extinguishing agent container and a solenoid valve that controls the nozzle of the fire extinguishing agent container. When an emergency overheating alarm is received, the emergency fire extinguishing module controls the solenoid valve to open and release the fire extinguishing agent in the fire extinguishing agent container to extinguish the fire.

[0049] In particular, this embodiment also includes a cooling module, which is provided with a high temperature warning threshold. When the temperature rise rate of the power supply equipment reaches the temperature change threshold, the cooling module cools the battery unit by controlling the temperature through the air conditioner installed inside the power supply equipment.

[0050] Example 2

[0051] The only difference between Example 2 and Example 1 is that Example 4 also includes a road warning module, and the road warning module is provided with a warning distance. The warning distance in this embodiment is within 100m. The road warning module is used to determine whether there are special sections of the road within the warning distance ahead based on road information (the special sections in this embodiment include curved sections and downhill sections). If there are special sections of the road within the warning distance ahead, the warning module will remind the driver to drive at a low speed.

[0052] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme are not described in detail here. Ordinary technicians in the field are aware of all common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the field can improve and implement this scheme in combination with their own abilities under the inspiration given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several variations and improvements can be made, which should also be regarded as the scope of protection of the present invention. These will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A remote monitoring system for emergency power supply vehicles, comprising a cloud platform and a vehicle-mounted terminal wirelessly connected to the cloud platform, characterized in that: The vehicle terminal includes a temperature monitoring module, a vibration monitoring module, a temperature-vibration collaborative analysis module, an early warning module and a communication module, and the communication module is used to establish a wireless connection with the cloud platform; The temperature detection module is used to collect temperature data of the power supply equipment; the vibration monitoring module is used to obtain vibration amplitude data of the power supply equipment; the temperature-vibration collaborative analysis module is used to analyze the transportation risk status of the power supply equipment based on the temperature data and vibration amplitude data of the power supply equipment, including the following steps: Construct a two-parameter decision plane: Temperature change rate Calculation using sliding differential: Vibration amplitude G RMS Using 1 / 3 octave weighting: Where T is temperature, t is temperature sampling time, Δt is the time interval of temperature sampling, τ is the exponential smoothing time constant, G RMS is the vibration amplitude, N is the number of samples, G x , G y and G z They correspond to the acceleration of the vehicle's longitudinal, lateral and vertical motion axes respectively; when Alert=0, the temperature-vibration collaborative analysis module determines it to be in a normal state; when Alert=1, it is determined to be in a high-risk state, the early warning module issues an alarm and transmits the alarm signal to the cloud platform through the communication module.

2. The remote monitoring system for emergency power supply vehicles according to claim 1, characterized in that: The vibration monitoring module includes a data acquisition module and a vibration amplitude calculation module; the data acquisition module includes a positioning module, a vehicle speed acquisition module, a vehicle information acquisition module, and a road surface information acquisition module; the positioning module is used to obtain vehicle positioning information; the road surface information acquisition module is used to obtain the road surface grade of the current road section based on the positioning information through the cloud platform, and obtain the road surface power spectrum density from the road surface grade; the vehicle speed acquisition module is used to collect the real-time speed of the vehicle; the vehicle information acquisition module is used to obtain the suspension system impedance coefficient of the current vehicle through the cloud platform; the vibration amplitude calculation module is used to calculate the vibration amplitude G of the device: Where G is the vibration amplitude of the equipment, f n is the natural frequency of the equipment, S q (f) is the road surface power spectrum density, v is the vehicle speed, Z0 is the suspension system impedance coefficient, and ξ(P) is the road surface correction factor.

3. The remote monitoring system for emergency power supply vehicles according to claim 2, characterized in that: The vibration monitoring module also includes an index evaluation module. The early warning module is further provided with an early warning threshold. The index evaluation module is used to calculate the composite vibration evaluation index EVI. The calculation of the composite vibration evaluation index includes: Where PSD(f) is the power spectrum density of the vibration signal, f 1.5 is the frequency weight factor, G pk It is the maximum instantaneous acceleration value of the vibration signal in the time domain. When the composite vibration evaluation index EVI reaches the warning threshold, the warning module issues a vibration risk warning.

4. The remote monitoring system for emergency power supply vehicles according to claim 3, characterized in that: The warning module is also provided with a temperature change threshold and a vibration amplitude threshold. When the temperature change rate and the vibration amplitude reach the temperature change threshold and the vibration amplitude threshold respectively, the warning module will also enforce speed limit through the vehicle's PID controller.

5. The remote monitoring system for emergency power supply vehicles according to claim 4, characterized in that: It also includes an emergency fire extinguishing module, which includes a fire extinguishing agent container and a solenoid valve that controls the nozzle of the fire extinguishing agent container. The emergency fire extinguishing module is provided with a temperature threshold. When the temperature of the power supply equipment reaches the temperature threshold, the emergency fire extinguishing module controls the solenoid valve to open and release the fire extinguishing agent in the fire extinguishing agent container to extinguish the fire.

6. The remote monitoring system for emergency power supply vehicles according to claim 5, characterized in that: It also includes a cooling module, which is provided with a high temperature warning threshold. When the temperature rise rate of the power supply equipment reaches the temperature change threshold, the cooling module cools the battery unit.

7. The remote monitoring system for emergency power supply vehicles according to claim 6, characterized in that: The cooling module performs temperature control via the air conditioner installed inside the power supply device.

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