A method, system and apparatus for monitoring abnormal changes in vehicle dynamics

Abstract

The application provides a kind of method, system and device for monitoring abnormal change of vehicle torque and rotating speed, comprising the following steps: continuously collecting the running data of vehicle, and recording the collection time corresponding to the running data, according to terminal equipment number N, the index data belonging to the same vehicle is partitioned;For the data in the partition, the throttle pedal opening degree data A and torque data T, rotating speed data R of M continuous data in each partition are sorted according to the generation time of data, whether the power is abnormal is judged, if so, the collection time and position corresponding to the abnormal data are determined, the application can automatically detect the torque and rotating speed change of vehicle during vehicle operation, so as to monitor the abnormality of vehicle power, so as to help operation personnel track the torque limiting problem in vehicle operation process, better serve customers, effectively reduce the operation cost of company and improve management quality.

Description

Technical Field

[0001] This invention relates to the field of vehicle power detection technology, and in particular to a method, system and device for monitoring abnormal changes in vehicle power. Background Technology

[0002] With the development of network and communication technologies, more and more vehicle networking companies are using software systems to manage their commercial vehicles. During daily vehicle operation, situations may arise such as vehicles being locked due to abnormalities or by creditors. Furthermore, because it is impossible to monitor vehicles in real time while they are in motion, it is also impossible to effectively track operational risks caused by abnormal vehicle power. This not only causes inconvenience to the normal operation of vehicles but also increases additional operating costs for the company. Summary of the Invention

[0003] The purpose of this invention is to address the shortcomings of existing technologies by proposing a method, system, and apparatus for monitoring abnormal changes in vehicle power.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: a method for monitoring abnormal changes in vehicle power, comprising the following steps: S1: Continuously collect vehicle operation data and record the data collection time; The operational data includes the terminal device number N, the vehicle engine manufacturer data E, and dynamic data, which includes torque data T, speed data R, accelerator pedal opening data A, and position information. The vehicle engine manufacturer data E includes preset values ​​for abnormal vehicle power and the vehicle engine manufacturer. S2: Divide the dynamic data belonging to the same vehicle into partitions based on the terminal device number N; The vehicle dynamic data within the partition is sorted according to the generation time, which is the time when the collected dynamic data is reported to the hardware device. S3: Determine whether the vehicle's power is abnormal based on the rules for abnormal power, and determine the collection time and location information of the abnormal dynamic data; S31: Two rules for recognizing abnormal power, based on different definitions from vehicle engine manufacturers: Engine torque anomaly: Data from M consecutive points shows that the throttle opening data A is greater than Y, but the vehicle torque data T remains below Z, indicating an abnormal power output; M is a natural number; Y and Z are preset values ​​for abnormal vehicle power output; Abnormal engine speed: Data from M consecutive points shows that the throttle opening data A is greater than Y, but the vehicle speed data R remains below Z, indicating abnormal power; M is a natural number; Y and Z are preset values ​​for abnormal vehicle power; S32: Determine whether there is a dynamic anomaly in each sorted continuous dynamic data according to the rules in S31.

[0005] Furthermore, step S2 also includes calculating the timeout based on the difference between the generation time and the acquisition time of the dynamic data, discarding dynamic data reported after a timeout of 1 minute, and rearranging discontinuous dynamic data starting from the point of data loss.

[0006] Furthermore, in step S3, the indicator selected based on the vehicle engine manufacturer is either torque data T or speed data R; the vehicle engine manufacturers include Xichai engine, Dachai engine, Weichai engine, and Yuchai engine; if the vehicle engine manufacturer is Xichai engine or Dachai engine, then torque data T is selected; if the vehicle engine manufacturer is Weichai engine or Yuchai engine, then speed data R is selected.

[0007] Furthermore, the system iteratively compares the torque data T or speed data R with the preset value Z, and the throttle opening data A with the preset value Y. If the throttle opening data A is greater than the preset value Y, but the vehicle's torque data T or speed data R remains below the preset value Z, the count value is incremented, with an initial value of 0. If the throttle opening data A is below the preset value Y, or the vehicle's torque data T or speed data R exceeds the preset value Z, the count value is cleared to the initial value. This process continues until the count value is greater than M, at which point a power anomaly is determined, and the collection time and location information of the abnormal dynamic data are identified. Otherwise, there is no power anomaly.

[0008] A system for monitoring abnormal changes in vehicle power includes a data acquisition module for continuously acquiring vehicle operating data at a certain sampling period and sampling frequency. The partitioning module is used to partition dynamic data collected from the same vehicle according to the terminal device number N; The sorting module is used to sort dynamic data according to the reporting time and perform data cleaning. The rules module is used to define rules for power anomalies in different types of engines; The judgment module is used to determine whether dynamic data matches the exception rules; The determination module is used to determine the collection time and location information corresponding to abnormal data.

[0009] The rule module includes a selection module, a comparison module, and a counting module; The selection module is used to select torque data T or speed data R according to the vehicle engine manufacturer. The comparison module is used to compare the torque data T or speed data R with the preset value of the vehicle power anomaly. The counting module is used to increment or clear the count value based on the result of the comparison module. The judgment module is used to determine whether dynamic data hits an anomaly rule based on the size of the count value.

[0010] Furthermore, the sorting module includes a first sorting module and a data cleaning module. The first sorting module is used to sort the dynamic data according to the reporting time; the data cleaning module is used to remove dynamic data that has been reported more than 1 minute overdue.

[0011] An apparatus for monitoring abnormal changes in vehicle power includes a processor and a memory; the memory stores a computer program, and the processor executes the computer program to implement the steps of a method for monitoring abnormal changes in vehicle power.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention can automatically detect abnormal vehicle power during vehicle operation, thereby monitoring insufficient vehicle power, which helps to track operational risks caused by abnormal vehicle power, and helps operators track torque limitation problems during vehicle operation, better serve customers, provide advance property safety services for drivers, effectively reduce company operating costs and improve management quality. (2) The present invention uses a rule engine to statistically analyze abnormal data, and through custom rules, it is convenient to add and adjust rules. (3) By comparing continuous dynamic data with preset values ​​of abnormal vehicle power, the accuracy of judging abnormal vehicle power is improved; and the defined rules are set according to the actual vehicle, so the method of the present invention is more conducive to practical application, has a wide range of applications, and is not limited to the use of a single vehicle. Attached Figure Description

[0013] Figure 1 This is a flowchart of the steps in Embodiment 1 of the present invention. Detailed Implementation

[0014] To provide a further understanding of the purpose, structure, features, and functions of the present invention, detailed descriptions are provided below with reference to specific embodiments.

[0015] Example 1

[0016] A method for monitoring abnormal changes in vehicle dynamics includes the following steps: S1: Continuously collect vehicle operation data and record the data collection time; Vehicle operating data is continuously collected at a certain sampling period and sampling frequency, and the corresponding collection time is recorded. The vehicle operating data includes the terminal device number N, the vehicle engine manufacturer data E, and dynamic data. The dynamic data includes torque data T, speed data R, accelerator pedal opening data A, and position information. The sampling period and sampling frequency are set by the hardware equipment manufactured by our company. The default sampling period is 1 hour, and the sampling frequency is 10 seconds.

[0017] The terminal device number N serves as the vehicle's identification identifier; the vehicle engine manufacturer data E includes preset values ​​for vehicle power anomalies and the vehicle engine manufacturer. Vehicle engine manufacturers include Xichai, Dachai, Weichai, and Yuchai engines.

[0018] S2: Divide the dynamic data belonging to the same vehicle into partitions based on the terminal device number N; The vehicle dynamic data within the partition is sorted according to the generation time, which is the time when the collected dynamic data is reported to the hardware device.

[0019] Furthermore, the timeout is calculated based on the difference between the generation time and the acquisition time of the dynamic data, and dynamic data reported more than 1 minute late is discarded. For discontinuous dynamic data, the data is rearranged starting from the point of data loss; through continuous rearrangement, the continuity of dynamic data is ensured, which can solve the problem of inaccurate calculation results caused by out-of-order data reception due to network problems.

[0020] S3: Determine whether the vehicle's power is abnormal based on the rules for abnormal power, and determine the collection time and location information of the abnormal dynamic data; S31: Two rules for recognizing abnormal power, based on different definitions from vehicle engine manufacturers: 1. Abnormal Engine Torque: This applies to Xichai and Dachai engines. If, for M consecutive data points, the throttle opening data A is greater than Y, but the vehicle's torque data T consistently remains below Z, this indicates an abnormal power output. M is a natural number; Y and Z are preset values.

[0021] 2. Abnormal Engine Speed: This applies to Yuchai and Yunnei engines. If, for M consecutive data points, the throttle opening (A) is greater than Y, but the vehicle's engine speed (R) consistently remains below Z, this indicates an abnormal power output. M is a natural number; Y and Z are preset values.

[0022] S32: Apply the above rules to each sorted consecutive dynamic data to determine whether there is a dynamic anomaly; Based on the vehicle engine manufacturer's data E, the selected indicator for calculation is either torque data T or speed data R (Xichai and Dachai engines use torque data T; Weichai and Yuchai engines use speed data R).

[0023] The system iteratively compares torque data T or speed data R with a preset value Z, and throttle opening data A with a preset value Y. If throttle opening data A is greater than the preset value Y, but the vehicle's torque data T or speed data R remains below the preset value Z, the count is incremented, with an initial value of 0. If any non-compliant value exists in the continuous dynamic data (i.e., throttle opening data A is below the preset value Y, or vehicle torque data T or speed data R exceeds the preset value Z), the count is reset to its initial value until it exceeds M. In this case, a power anomaly is determined, and the collection time and location information of the abnormal dynamic data are identified. Otherwise, no power anomaly is found. By comparing continuous dynamic data with preset values ​​for vehicle power anomalies, the accuracy of determining vehicle power anomalies is improved. Furthermore, the defined rules are based on actual vehicle settings. Vehicle operation is directly proportional to engine speed, torque, and throttle opening. Different engine manufacturers exhibit different characteristics; therefore, the method of this invention is more suitable for practical applications and has a wide range of applicability, not limited to a single vehicle.

[0024] Example 2

[0025] A system for monitoring abnormal changes in vehicle dynamics, comprising: The data acquisition module is used to continuously acquire vehicle operating data at a certain sampling period and sampling frequency, and record the acquisition time corresponding to the operating data. The vehicle operating data includes the terminal device number N, the vehicle engine manufacturer data E, and dynamic data. The dynamic data includes torque data T, speed data R, accelerator pedal opening data A, and position information, etc.

[0026] The vehicle engine manufacturer data (E) includes preset values ​​for abnormal vehicle power and the vehicle engine manufacturer. These manufacturers include Xichai, Dachai, Weichai, and Yuchai engines.

[0027] The partitioning module is used to partition dynamic data collected from the same vehicle according to the terminal device number N; The sorting module is used to sort dynamic data according to the reporting time and perform data cleaning. It includes a first sorting module and a data cleaning module. The first sorting module is used to sort the dynamic data according to the reporting time; the data cleaning module is used to remove dynamic data that has been reported more than 1 minute past the timeout.

[0028] The rules module is used to define rules for power anomalies in different types of engines; The judgment module is used to determine whether dynamic data matches the exception rules; The determination module is used to determine the collection time and location information corresponding to abnormal data.

[0029] Furthermore, the rule module includes a selection module, a comparison module, and a counting module; The selection module is used to select torque data T or speed data R according to the vehicle engine manufacturer. The comparison module is used to compare the torque data T or speed data R with the preset value of the vehicle power anomaly. The counting module is used to increment or clear the count value based on the result of the comparison module. The judgment module is used to determine whether dynamic data hits an anomaly rule based on the size of the count value.

[0030] Example 3

[0031] An apparatus for monitoring abnormal changes in vehicle power includes a processor and a memory; the memory stores a computer program, and the processor executes the computer program to implement the steps of the method of Embodiment 1.

[0032] The present invention has been described in the above-described embodiments; however, these embodiments are merely examples for implementing the present invention. It must be noted that the disclosed embodiments do not limit the scope of the present invention. Conversely, any modifications and refinements made without departing from the spirit and scope of the present invention are within the scope of patent protection of the present invention.

Claims

1. A method for monitoring abnormal changes in vehicle power, characterized in that: Includes the following steps: S1: Continuously collect vehicle operation data and record the data collection time; The operational data includes the terminal device number N, the vehicle engine manufacturer data E, and dynamic data, which includes torque data T, speed data R, accelerator pedal opening data A, and position information. The vehicle engine manufacturer data E includes preset values ​​for abnormal vehicle power and the vehicle engine manufacturer. S2: Divide the dynamic data belonging to the same vehicle into partitions based on the terminal device number N; The vehicle dynamic data within the partition is sorted according to the generation time, which is the time when the collected dynamic data is reported to the hardware device. The timeout is calculated based on the difference between the generation time and the collection time of the dynamic data. Dynamic data reported more than 1 minute past the timeout is discarded. For discontinuous dynamic data, the data is rearranged starting from the point of data loss. S3: Determine whether the vehicle's power is abnormal according to the rules for abnormal power, and determine the collection time and location information of the abnormal dynamic data; select the indicator to use based on the vehicle engine manufacturer, which is torque data T or speed data R; vehicle engine manufacturers include Xichai engine, Dachai engine, Weichai engine, and Yuchai engine; if the vehicle engine manufacturer is Xichai engine or Dachai engine, select torque data T; if the vehicle engine manufacturer is Weichai engine or Yuchai engine, select speed data R. S31: Two rules for recognizing abnormal power, based on different definitions from vehicle engine manufacturers: Abnormal engine torque: Data from M consecutive points shows that the throttle opening data A is greater than Y, but the vehicle torque data T remains below Z, indicating abnormal power. M is a natural number; Y and Z are preset values ​​for abnormal vehicle power; Abnormal engine speed: Data from M consecutive points shows that the throttle opening data A is greater than Y, but the vehicle speed data R remains below Z, indicating abnormal power. M is a natural number; Y and Z are preset values ​​for vehicle power anomalies; S32: Determine whether there is a dynamic anomaly in each of the sorted consecutive dynamic data according to the rules in S31; The system iteratively compares the torque data T or speed data R with a preset value Z, and the throttle opening data A with a preset value Y. If the throttle opening data A is greater than the preset value Y, but the vehicle's torque data T or speed data R remains below the preset value Z, the count value is incremented, with an initial value of 0. If the throttle opening data A is below the preset value Y, or the vehicle's torque data T or speed data R exceeds the preset value Z, the count value is cleared to the initial value. This process continues until the count value is greater than M, at which point a power anomaly is determined, and the collection time and location information of the abnormal dynamic data are identified. Otherwise, no power anomaly is found.

2. A system for monitoring abnormal changes in vehicle power, characterized in that: The system is used to implement the method described in claim 1 above, and includes a data acquisition module for continuously acquiring vehicle operating data at a certain sampling period and sampling frequency; The partitioning module is used to partition dynamic data collected from the same vehicle according to the terminal device number N; The sorting module is used to sort dynamic data according to the reporting time and perform data cleaning. The rules module is used to define rules for power anomalies in different types of engines; The judgment module is used to determine whether dynamic data matches the exception rules; The determination module is used to determine the collection time and location information corresponding to abnormal data; The rule module includes a selection module, a comparison module, and a counting module; The selection module is used to select torque data T or speed data R according to the vehicle engine manufacturer. The comparison module is used to compare the torque data T or speed data R with the preset value of the vehicle power anomaly. The counting module is used to increment or clear the count value based on the result of the comparison module. The judgment module is used to determine whether the dynamic data hits the abnormal rule based on the size of the count value; The sorting module includes a first sorting module and a data cleaning module. The first sorting module is used to sort the dynamic data according to the reporting time; the data cleaning module is used to remove dynamic data that has been reported more than 1 minute past the timeout.

3. A device for monitoring abnormal changes in vehicle power, characterized in that: It includes a processor and a memory; the memory stores a computer program, and the processor executes the computer program to implement the steps of the method of claim 1.

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