Intelligent trailer operation safety monitoring system and method based on multi-source data fusion

Abstract

The present invention discloses an intelligent trailer operation safety monitoring system and method based on multi-source data fusion, which belongs to the field of management systems. The present invention integrates monitoring data during trailer operation and driver driving data to analyze the trailer operation status, obtains lower-section operating road information and trailer information to comprehensively evaluate road operation abnormalities, obtains trailer operation status analysis results and road operation abnormality analysis results to perform safe driving matching analysis, performs road safety operation warning based on the obtained safe driving matching analysis results, comprehensively analyzes operating road information, monitoring data during trailer operation and driver driving data, accurately evaluates the safety of trailer driving on the road, and issues warnings for mismatched trailers, thereby improving the safety of trailer operation.

Description

Technical Field

[0001] The present invention belongs to the field of management systems, and specifically relates to an intelligent trailer operation safety monitoring system and method based on multi-source data fusion. Background Art

[0002] Smart trailer operation safety monitoring involves multiple aspects to ensure the safety of trailers during transportation. The main purpose of smart trailer operation safety monitoring is to use advanced technical means to monitor and analyze the key parameters of trailers during transportation in real time, so as to timely discover potential safety hazards and take effective measures to intervene and correct them, thereby ensuring the safety of trailer operations. Smart trailer operation safety monitoring is an important technical means that can significantly improve the safety and efficiency of trailer operations and reduce the probability and risk level of accidents.

[0003] Since trailers are usually driven on roads, and nowadays, general roads are relatively flat, but when driving on mountain roads, the trailer is longer than ordinary vehicles, which makes it easy to get into dangerous situations when driving on mountain roads. However, the existing technology cannot comprehensively analyze the operating road information, the monitoring data during the trailer operation process, and the driving data of the driver, resulting in the inability to accurately assess the safety of the trailer driving on mountain roads. Most of the existing technologies have the above problems;

[0004] In order to solve the problems raised by this background technology, the present application designs a smart trailer operation safety monitoring system and method based on multi-source data fusion. Summary of the invention

[0005] In view of the shortcomings of the existing technology, the present invention proposes a smart trailer operation safety monitoring system and method based on multi-source data fusion.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: In the first aspect, the present invention provides a smart trailer operation safety monitoring method based on multi-source data fusion, which includes the following specific steps:

[0007] Step 1: Obtain the next section of operating road information, monitoring data during trailer operation, and driver driving data;

[0008] Step 2: Analyze the trailer operation status by integrating the monitoring data during the trailer operation and the driver's driving data;

[0009] Step 3: Obtain the next section of operating road information and trailer information to comprehensively evaluate road operation abnormalities;

[0010] Step 4: Obtain trailer operation status analysis results and road operation abnormality analysis results for safe driving matching analysis;

[0011] Step 5: Provide road safety operation warning based on the obtained safe driving matching analysis results.

[0012] Furthermore, the specific contents of obtaining the next section operating road information, the monitoring data during the trailer operation process and the driver's driving data in step 1 are:

[0013] S11, obtaining the slope data, width data and bending angle data of each position of the lower road section during driving through the road monitoring terminal, and simultaneously obtaining the distance data of the bending position, and storing them in the storage component;

[0014] S12, obtaining swing and vibration data of the trailer during operation through the trailer collection terminal, and simultaneously obtaining counterweight data and vehicle width data during the operation of the trailer, and storing them in the storage component;

[0015] S13, collecting the physical information of the driver and the driving time data of the driver through the physical information collection terminal, and storing them in the storage component;

[0016] Furthermore, the trailer operation status analysis based on the monitoring data and the driver's driving data during the trailer operation in step 2 includes the following specific steps:

[0017] S21, obtaining the width data of each position of the lower road section and the safety width data required by the trailer during driving. If the width data of any position of the lower road section is less than the safety width data required by the trailer, directly issue a road warning to remind the trailer that it does not match the road. If the width data of all positions of the lower road section is greater than or equal to the safety width data required by the trailer, proceed to S22;

[0018] S22, obtaining monitoring data during the trailer operation process of the previous cycle, and importing the obtained monitoring data during the trailer operation process into the trailer operation abnormal value calculation formula to calculate the trailer operation abnormal value, wherein the trailer operation abnormal value calculation formula is: , where s is the average trailer swing frequency of the previous cycle, sz is the swing frequency safety value, and s / sz is the swing frequency difference value of the previous cycle. The larger the swing frequency difference value of the previous cycle, the more frequent the swing, and then the more dangerous it is. Mg is the total mass of the trailer, M is the safety mass of the trailer, and Mg / M is the mass abnormality. The larger the total mass, the more dangerous it is to drive on the road. , mt is the swing amplitude at time t in the previous cycle, mz is the safe swing amplitude, T is the duration of the previous cycle, and dt is the time integral. The calculation of the swing amplitude is abnormal. Since the integral form has a time unit, the length of the previous period T is used in the numerator to reduce the fraction.

[0019] Furthermore, the trailer operation status analysis based on the monitoring data and the driver's driving data during the trailer operation in step 2 also includes the following specific steps:

[0020] S23, collecting the physical information of the driver and the driving time data of the driver, and importing them into the driving abnormality analysis value calculation formula to calculate the driving abnormality analysis value, wherein the driving abnormality analysis value calculation formula is: , where M is the type of physical information, ai is the proportion coefficient of the i-th physical information type, representing the importance of the corresponding i-th physical information type, xi is the average data of the i-th physical information, and xim is the safety value of the i-th physical information. is the abnormal value of the i-th physical information, exp is the exponential power of the natural constant e, tb is the driving time of the driver, and ta is the safe driving time of the driver;

[0021] S24, obtaining the calculated trailer operation abnormality value and driving abnormality analysis value and substituting them into the trailer state analysis value calculation formula to calculate the trailer state analysis value, wherein the trailer state analysis value calculation formula is: ,in, It is the coefficient of abnormal operation of trailer. In this way, the driving status is comprehensively analyzed through the vehicle driver and vehicle information, thereby improving the accuracy of driving status analysis.

[0022] Furthermore, the step 3 of obtaining the next section of operating road information and trailer information to comprehensively evaluate road operation abnormality includes the following specific contents:

[0023] Obtain the slope data of each position of the lower road section and the bending angle data of the bending position, and at the same time obtain the distance data of the bending position, and import them into the road operation abnormal value calculation formula to calculate the road operation abnormal value, wherein the road operation abnormal value calculation formula is: , where N is the number of bending positions, wj is the bending angle of the jth bending position, ws is the standard value of the bending angle, which is 180 degrees, Hc is the trailer length, and Hw is the average distance data of the bending position. is the bending ratio, is the average slope of the road section, is the safety value of the road section slope.

[0024] Furthermore, the step 4 of obtaining the trailer operation status analysis result and the road operation abnormality analysis result for safe driving matching analysis includes the following specific contents:

[0025] Obtain the calculated trailer state analysis value and the calculated road operation abnormality value and substitute them into the safe driving matching value calculation formula to calculate the safe driving matching value, wherein the safe driving matching value calculation formula is: ;

[0026] The calculated safe driving matching value is compared with the set safe driving matching threshold. If the calculated safe driving matching value is greater than or equal to the set safe driving matching threshold, it means that the corresponding trailer can be operated on the next section of the operating road. If the calculated safe driving matching value is less than the set safe driving matching threshold, it means that the corresponding trailer cannot be operated on the next section of the operating road, and a road safety operation warning is issued.

[0027] In the second aspect, the present invention provides a smart trailer operation safety monitoring system based on multi-source data fusion, which is implemented based on the above-mentioned smart trailer operation safety monitoring method based on multi-source data fusion, and specifically includes a data acquisition module, a trailer operation status analysis module, a road operation abnormality analysis module, a matching analysis module, an operation warning module and a control module;

[0028] The data acquisition module is used to obtain the information of the next section of the operating road, the monitoring data during the trailer operation process, and the driving data of the driver;

[0029] The trailer operation status analysis module is used to analyze the trailer operation status by integrating the monitoring data during the trailer operation and the driving data of the driver;

[0030] The road operation abnormality analysis module is used to obtain the next section of operating road information and trailer information to comprehensively evaluate the road operation abnormality;

[0031] The matching analysis module is used to obtain the trailer operation status analysis results and the road operation abnormality analysis results to perform safe driving matching analysis;

[0032] The operation warning module is used to provide road safety operation warning according to the obtained safe driving matching analysis results;

[0033] The control module is used for controlling the operation of the data acquisition module, the trailer operation status analysis module, the road operation abnormality analysis module, the matching analysis module and the operation warning module.

[0034] In a third aspect, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0035] The processor executes the above-mentioned intelligent trailer operation safety monitoring method based on multi-source data fusion by calling the computer program stored in the memory.

[0036] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute the above-mentioned intelligent trailer operation safety monitoring method based on multi-source data fusion.

[0037] Compared with the prior art, the beneficial effects of this application are:

[0038] The present application obtains the downstream operating road information, the monitoring data during the trailer operation and the driver's driving data, analyzes the trailer operation status by integrating the monitoring data and the driver's driving data during the trailer operation, obtains the downstream operating road information and the trailer information to comprehensively evaluate road operation abnormalities, obtains the trailer operation status analysis results and the road operation abnormality analysis results to perform safe driving matching analysis, issues road safety operation warnings based on the obtained safe driving matching analysis results, conducts a comprehensive analysis of the operating road information, the monitoring data during the trailer operation and the driver's driving data, accurately evaluates the safety of trailer driving on the road, issues warnings for mismatched trailers, and improves the safety of trailer operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the overall process of the intelligent trailer operation safety monitoring method based on multi-source data fusion of the present invention;

[0040] Figure 2 This is a schematic diagram of step 2 of the smart trailer operation safety monitoring method based on multi-source data fusion of the present invention;

[0041] Figure 3 It is a schematic diagram of the overall framework of the intelligent trailer operation safety monitoring system based on multi-source data fusion of the present invention;

[0042] Figure 4 It is a schematic diagram of data transmission according to the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will be combined with the drawings in the embodiments of the present invention to clearly and completely express the technical solution of the present invention. The embodiments expressed in this application are only some embodiments of the present invention, not all embodiments. According to the spirit of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0044] The application scenarios of this embodiment are described in detail here: Figure 4 As shown, the sensor collects road information, driver information and trailer information, imports it into the data fusion network to conduct a comprehensive analysis of the operating road information, the monitoring data during the trailer operation process and the driver's driving data, and transmits the alarm information to the management port and the driver port.

[0045] In order to solve the technical problems raised in the background technology, the present invention provides a preferred embodiment: Figure 1-Figure 2 As shown in FIG. 1 , a smart trailer operation safety monitoring method based on multi-source data fusion includes the following specific steps:

[0046] Step 1: Obtain the next section of operating road information, monitoring data during trailer operation, and driver driving data;

[0047] In this embodiment, the specific contents of obtaining the lower operating road information, the monitoring data during the trailer operation, and the driver's driving data in step 1 are:

[0048] S11, obtaining the slope data, width data and bending angle data of each position of the lower road section during driving through the road monitoring terminal, and simultaneously obtaining the distance data of the bending position, and storing them in the storage component;

[0049] Since trailers are usually driven on roads, and the general roads nowadays are relatively flat, but when driving on mountain roads, the trailer is longer than ordinary vehicles, which makes it easy to get into dangerous situations when driving on mountain roads at bends. Here, the slope data, width data and bending angle data of each position of the lower section of the mountain road are collected;

[0050] First, let's look at the slope data. The size and change of the slope will directly affect the vehicle's driving speed and stability. A steeper slope may cause the vehicle to slow down, increase the braking distance, and may even cause natural disasters such as landslides. Therefore, we need to analyze the slope data in detail to determine whether there is an overly steep or sudden slope, so as to evaluate its impact on driving safety.

[0051] Secondly, width data is also an important indicator for evaluating the safety of mountain roads. Insufficient road width may reduce the distance between vehicles and increase the risk of meeting, especially at curves. If the road width is insufficient, vehicles may not be able to complete the turn smoothly, thus causing traffic accidents. Therefore, it is necessary to measure and analyze the road width in detail to determine whether there is a problem of insufficient width.

[0052] Finally, the bending angle data at the bending position is also a key factor in evaluating road safety. The size of the bending angle will affect the turning radius and driving trajectory of the vehicle. If the bending angle is too large or too small, it may increase the driver's operating difficulty and the risk of misjudgment. Therefore, it is necessary to measure and analyze the bending angle data to determine whether there is an unreasonable bending angle;

[0053] S12, obtaining swing and vibration data of the trailer during operation through the trailer collection terminal, and simultaneously obtaining counterweight data and vehicle width data during the operation of the trailer, and storing them in the storage component;

[0054] S13, collecting the physical information of the driver and the driving time data of the driver through the physical information collection terminal, and storing them in the storage component;

[0055] To analyze the driver's physical information and driving time data to detect driving abnormalities;

[0056] Check the driver's health status, such as whether he has heart disease, high blood pressure, diabetes and other diseases that may affect driving. These diseases may cause abnormal driving during long-term driving or under stressful conditions. The quality of vision and hearing directly affects the driver's judgment and reaction to road conditions. Blurred vision or hearing loss may cause the driver to be unable to respond in time. Long-term driving or lack of sleep may cause physical fatigue, which in turn affects the driver's reaction speed and judgment ability.

[0057] Step 2: Analyze the trailer operation status by integrating the monitoring data during the trailer operation and the driver's driving data;

[0058] In this embodiment, the trailer operation status analysis based on the monitoring data and the driver's driving data during the trailer operation in step 2 includes the following specific steps:

[0059] S21, obtaining the width data of each position of the lower road section and the safety width data required by the trailer during driving. If the width data of any position of the lower road section is less than the safety width data required by the trailer, directly issue a road warning to remind the trailer that it does not match the road. If the width data of all positions of the lower road section is greater than or equal to the safety width data required by the trailer, proceed to S22;

[0060] S22, obtaining monitoring data during the trailer operation process of the previous cycle, and importing the obtained monitoring data during the trailer operation process into the trailer operation abnormal value calculation formula to calculate the trailer operation abnormal value, wherein the trailer operation abnormal value calculation formula is: , where s is the average trailer swing frequency of the previous cycle, sz is the swing frequency safety value, and s / sz is the swing frequency difference value of the previous cycle. The larger the swing frequency difference value of the previous cycle, the more frequent the swing, and then the more dangerous it is. Mg is the total mass of the trailer, M is the safety mass of the trailer, and Mg / M is the mass abnormality. The larger the total mass, the more dangerous it is to drive on the road. In the formula, mt is the swing amplitude at time t in the previous cycle, mz is the safe swing amplitude, T is the duration of the previous cycle, and dt is the time integral. The calculation of the swing amplitude is abnormal. Since the integral form has a time unit, the previous cycle length T is used in the numerator to reduce the fraction;

[0061] S23, collecting the physical information of the driver and the driving time data of the driver, and importing them into the driving abnormality analysis value calculation formula to calculate the driving abnormality analysis value, wherein the driving abnormality analysis value calculation formula is: , where M is the type of physical information, ai is the proportion coefficient of the i-th physical information type, representing the importance of the corresponding i-th physical information type, xi is the average data of the i-th physical information, and xim is the safety value of the i-th physical information. is the abnormal value of the i-th physical information, exp is the exponential power of the natural constant e, tb is the driving time of the driver, and ta is the safe driving time of the driver;

[0062] S24, obtaining the calculated trailer operation abnormality value and driving abnormality analysis value and substituting them into the trailer state analysis value calculation formula to calculate the trailer state analysis value, wherein the trailer state analysis value calculation formula is: ,in, It is the coefficient of abnormal operation of trailer. In this way, the driving status is comprehensively analyzed through the vehicle driver and vehicle information, thereby improving the accuracy of driving status analysis.

[0063] Step 3: Obtain the next section of operating road information and trailer information to comprehensively evaluate road operation abnormalities;

[0064] In this embodiment, the step 3 of obtaining the next section of operating road information and trailer information to comprehensively evaluate road operation abnormality includes the following specific contents:

[0065] Obtain the slope data of each position of the lower road section and the bending angle data of the bending position, and at the same time obtain the distance data of the bending position, and import them into the road operation abnormal value calculation formula to calculate the road operation abnormal value, wherein the road operation abnormal value calculation formula is: , where N is the number of bending positions, wj is the bending angle of the jth bending position, ws is the standard value of the bending angle, which is 180 degrees, Hc is the trailer length, and Hw is the average distance data of the bending position. is the bending ratio, is the average slope of the road section, is the safety value of the road section slope.

[0066] Step 4: Obtain trailer operation status analysis results and road operation abnormality analysis results for safe driving matching analysis;

[0067] In this embodiment, the step 4 of obtaining the trailer running state analysis result and the road running abnormality analysis result for safe driving matching analysis includes the following specific contents:

[0068] Obtain the calculated trailer state analysis value and the calculated road operation abnormality value and substitute them into the safe driving matching value calculation formula to calculate the safe driving matching value, wherein the safe driving matching value calculation formula is: ;

[0069] The calculated safe driving matching value is compared with the set safe driving matching threshold. If the calculated safe driving matching value is greater than or equal to the set safe driving matching threshold, it means that the corresponding trailer can be operated on the next section of the operating road. If the calculated safe driving matching value is less than the set safe driving matching threshold, it means that the corresponding trailer cannot be operated on the next section of the operating road, and a road safety operation warning is issued.

[0070] Step 5: Provide road safety operation warning based on the obtained safe driving matching analysis results.

[0071] It should be noted here that the method for obtaining the values ​​of the trailer operation abnormality ratio coefficient, the bending ratio coefficient and the set safe driving matching threshold is as follows: 500 sets of operating road information, monitoring data during trailer operation and driving data of the driver are obtained, and the safe driving matching value is substituted into the safe driving matching value calculation formula to calculate the safe driving matching value, and the judgment result of whether an accident has occurred is obtained, and the safe driving matching value and the accident judgment result are imported into the fitting software, and the values ​​of the trailer operation abnormality ratio coefficient, the bending ratio coefficient and the set safe driving matching threshold that meet the judgment accuracy of the accident judgment result are output.

[0072] The advantages of this embodiment over the prior art are as follows: obtaining the downstream operating road information, the monitoring data during the trailer operation and the driver's driving data, analyzing the trailer operation status based on the monitoring data and the driver's driving data during the trailer operation, obtaining the downstream operating road information and the trailer information to comprehensively evaluate road operation abnormalities, obtaining the trailer operation status analysis results and the road operation abnormality analysis results to perform safe driving matching analysis, issuing a road safety operation warning based on the obtained safe driving matching analysis results, conducting a comprehensive analysis of the operating road information, the monitoring data during the trailer operation and the driver's driving data, accurately evaluating the safety of trailer driving on the road, and issuing warnings for unmatched trailers, thereby improving the safety of trailer operations.

[0073] like Figure 3 As shown, this embodiment also provides a smart trailer operation safety monitoring system based on multi-source data fusion, which is implemented based on the above-mentioned smart trailer operation safety monitoring method based on multi-source data fusion, and specifically includes a data acquisition module, a trailer operation status analysis module, a road operation abnormality analysis module, a matching analysis module, an operation warning module and a control module;

[0074] Among them, the data acquisition module is used to obtain the information of the next section of the operating road, the monitoring data during the trailer operation process and the driving data of the driver;

[0075] Trailer operation status analysis module, used to analyze the trailer operation status by integrating the monitoring data during trailer operation and the driver's driving data;

[0076] Road operation abnormality analysis module, used to obtain the next section of operating road information and trailer information to comprehensively evaluate road operation abnormalities;

[0077] Matching analysis module, used to obtain trailer operation status analysis results and road operation abnormality analysis results for safe driving matching analysis;

[0078] An operation warning module is used to provide road safety operation warning based on the obtained safe driving matching analysis results;

[0079] The control module is used for controlling the operation of the data acquisition module, the trailer operation status analysis module, the road operation abnormality analysis module, the matching analysis module and the operation warning module.

[0080] This embodiment also provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0081] The processor executes the above-mentioned intelligent trailer operation safety monitoring method based on multi-source data fusion by calling the computer program stored in the memory.

[0082] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the intelligent trailer operation safety monitoring method based on multi-source data fusion provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device. For example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0083] This embodiment also provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0084] When the computer program runs on a computer device, the computer device executes the above-mentioned intelligent trailer operation safety monitoring method based on multi-source data fusion.

[0085] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0086] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. A smart trailer operation safety monitoring method based on multi-source data fusion, characterized in that: It includes the following specific steps: Step 1: Obtain the next section of operating road information, monitoring data during trailer operation, and driver driving data; Step 2: Analyze the trailer operation status by integrating the monitoring data during the trailer operation and the driver's driving data; Step 3: Obtain the next section of operating road information and trailer information to comprehensively evaluate road operation abnormalities; Step 4: Obtain trailer operation status analysis results and road operation abnormality analysis results for safe driving matching analysis; Step 5: Perform road safety operation warning based on the obtained safe driving matching analysis results; the specific contents of obtaining the next section of operating road information, the monitoring data during the trailer operation process and the driver's driving data in step 1 are: S11, obtaining the slope data, width data and bending angle data of each position of the lower road section during driving through the road monitoring terminal, and simultaneously obtaining the distance data of the bending position, and storing them in the storage component; S12, obtaining swing and vibration data of the trailer during operation through the trailer collection terminal, and simultaneously obtaining counterweight data and vehicle width data during the operation of the trailer, and storing them in the storage component; S13, collecting the driver's physical information and the driver's driving time data through the physical information collection terminal, and storing them in the storage component; the trailer operation status analysis in the step 2 of integrating the monitoring data and the driver's driving data during the trailer operation process includes the following specific steps: S21, obtaining the width data of each position of the lower road section and the safety width data required by the trailer during driving. If the width data of any position of the lower road section is less than the safety width data required by the trailer, directly issue a road warning to remind the trailer that it does not match the road. If the width data of all positions of the lower road section is greater than or equal to the safety width data required by the trailer, proceed to S22; S22, obtaining monitoring data during the trailer operation process of the previous cycle, and importing the obtained monitoring data during the trailer operation process into the trailer operation abnormal value calculation formula to calculate the trailer operation abnormal value, wherein the trailer operation abnormal value calculation formula is: Where s is the average trailer swing frequency of the previous cycle, sz is the swing frequency safety value, Mg is the total mass of the trailer, M is the safety mass of the trailer, mt is the swing amplitude at time t of the previous cycle, mz is the swing safety amplitude, T is the duration of the previous cycle, and dt is the time integral; S23, collecting the physical information of the driver and the driving time data of the driver, and importing them into the driving abnormality analysis value calculation formula to calculate the driving abnormality analysis value, wherein the driving abnormality analysis value calculation formula is: Wherein, M is the type of physical information, ai is the proportion coefficient of the i-th physical information type, xi is the average data of the i-th physical information, xim is the safety value of the i-th physical information, exp is the exponential power of the natural constant e, tb is the driving time of the driver, and ta is the safe driving time of the driver; S24, obtaining the calculated trailer operation abnormality value and driving abnormality analysis value and substituting them into the trailer state analysis value calculation formula to calculate the trailer state analysis value, wherein the trailer state analysis value calculation formula is: Among them, λ is the coefficient of abnormal operation of trailer; The step 3 of obtaining the next section of operating road information and trailer information to comprehensively evaluate road operation abnormality includes the following specific contents: Obtain the slope data of each position of the lower road section and the bending angle data of the bending position, and at the same time obtain the distance data of the bending position, and import them into the road operation abnormal value calculation formula to calculate the road operation abnormal value, wherein the road operation abnormal value calculation formula is: Wherein, N is the number of bending positions, wj is the bending angle of the jth bending position, ws is the standard value of the bending angle, which is 180 degrees, Hc is the length of the trailer, Hw is the average distance data of the bending position, σ is the bending ratio coefficient, θc is the average value of the road section slope, and θs is the safety value of the road section slope; the step 4 of obtaining the trailer operation status analysis results and the road operation abnormality analysis results for safe driving matching analysis includes the following specific contents: Obtain the calculated trailer state analysis value and the calculated road operation abnormality value and substitute them into the safe driving matching value calculation formula to calculate the safe driving matching value, wherein the safe driving matching value calculation formula is: The calculated safe driving matching value is compared with the set safe driving matching threshold. If the calculated safe driving matching value is greater than or equal to the set safe driving matching threshold, it means that the corresponding trailer can be operated on the next section of the operating road. If the calculated safe driving matching value is less than the set safe driving matching threshold, it means that the corresponding trailer cannot be operated on the next section of the operating road, and a road safety operation warning is issued.

2. A smart trailer operation safety monitoring system based on multi-source data fusion, which is implemented based on the smart trailer operation safety monitoring method based on multi-source data fusion as claimed in claim 1, characterized in that: It specifically includes a data acquisition module, a trailer operation status analysis module, a road operation abnormality analysis module, a matching analysis module, an operation warning module and a control module; The data acquisition module is used to obtain the information of the next section of the operating road, the monitoring data during the trailer operation process, and the driving data of the driver; The trailer operation status analysis module is used to analyze the trailer operation status by integrating the monitoring data during the trailer operation and the driving data of the driver; The road operation abnormality analysis module is used to obtain the next section of operating road information and trailer information to comprehensively evaluate the road operation abnormality; The matching analysis module is used to obtain the trailer operation status analysis results and the road operation abnormality analysis results to perform safe driving matching analysis; The operation warning module is used to provide road safety operation warning based on the obtained safe driving matching analysis results; The control module is used for controlling the operation of the data acquisition module, the trailer operation status analysis module, the road operation abnormality analysis module, the matching analysis module and the operation warning module.

3. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the intelligent trailer operation safety monitoring method based on multi-source data fusion as described in claim 1 by calling the computer program stored in the memory.

4. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes the intelligent trailer operation safety monitoring method based on multi-source data fusion as claimed in claim 1.

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