A multi-channel automobile instrument panel intelligent detection system and method

Abstract

The present invention discloses a multi-channel intelligent detection system and method for vehicle instrument panels, relating to the technical field of vehicle instrument panel detection; Step S100: Integrate and analyze the vehicle control data received in each detection cycle, and calculate the first comprehensive warning value y1 of the recycled vehicle instrument panel; Step S200: Calculate the second comprehensive warning value y2 of the recycled vehicle instrument panel based on the first comprehensive warning value; Step S300: Calculate the total warning value y 总 = y1 × y2; When the total warning value y 总 is greater than the warning threshold, send a recycling accuracy detection prompt to the detection personnel; Step S400: Conduct a recycling accuracy detection on the recycled vehicle instrument panel; Step S500: Analyze the current aging condition of the recycled vehicle instrument panel based on the current recycling accuracy value of the recycled vehicle instrument panel; Estimate the remaining service life of the recycled vehicle instrument panel within the allowable range of accuracy error.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle instrument panel detection, in particular to a multi-channel automobile instrument panel intelligent detection system and method. Background Art

[0002] The dashboards of most vehicles have been improved by science and technology and have gotten rid of the previous model. The probability of damage and wear is extremely small. However, due to operational requirements, vehicles often need to travel on bumpy and uneven roads, which means that the vehicle body may be in a highly vibrating environment for a long time. The accuracy of the vehicle dashboard is often related to the instrument pointer, and the dashboard is also composed of multiple parts. Because the vehicle is in a highly vibrating and bumpy environment for a long time, it is bound to have an impact on the dashboard, which may cause the parts to loosen. Therefore, when recycling the vehicle dashboard on the vehicle, only following the normal accuracy detection process may result in inaccurate accuracy detection results. Summary of the invention

[0003] The object of the present invention is to provide a multi-channel automobile instrument panel intelligent detection system and method to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a multi-channel automobile instrument panel intelligent detection method, the method comprising:

[0005] Step S100: for the vehicle to which the recovered vehicle dashboard belongs, a virtual work scene is constructed, sensors are installed on the vehicle, the vehicle control data generated on the vehicle to which the recovered vehicle dashboard belongs is extracted, and the pointer deflection and pointer fall back on the recovered vehicle dashboard are captured; a detection cycle is set, and the vehicle control data extracted in each interval detection cycle is transmitted to the detection system; the detection system integrates and analyzes the vehicle control data received in each detection cycle, and calculates the first comprehensive warning value y1 of the recovered vehicle dashboard;

[0006] Step S200: extracting historical operating environment data of the vehicle to which the recovered vehicle instrument panel belongs, and analyzing the historical operating environment data; based on the first comprehensive warning value, calculating a second comprehensive warning value y2 for the recovered vehicle instrument panel;

[0007] Step S300: Calculate the total warning value y for the instrument panel of the recovered vehicle 总 =y1×y2; when the total warning value y 总 If the value is greater than the warning threshold, a recycling accuracy detection prompt is sent to the inspector;

[0008] Step S400: Performing a recycling accuracy test on the recycled vehicle instrument panel; the recycling accuracy test includes detecting the pins on the recycled vehicle instrument panel, testing the function of the recycled vehicle instrument panel, and testing the durability of the recycled vehicle instrument panel; obtaining the current recycling accuracy value of the recycled vehicle instrument panel;

[0009] Step S500: Based on the current recycling accuracy value of the recycled vehicle instrument panel, analyze the current aging condition of the recycled vehicle instrument panel; and estimate the remaining service life of the recycled vehicle instrument panel within the tolerance range of the accuracy error.

[0010] Furthermore, step S100 includes:

[0011] Step S101: setting a threshold value for instantaneous deflection speed of a recovered vehicle instrument panel pointer and a threshold value for instantaneous return speed of a recovered vehicle instrument panel pointer; capturing several control time nodes of the recovered vehicle instrument panel pointer at a speed greater than the threshold value for deflection speed or a speed greater than the threshold value for return speed in the vehicle control data generated on the vehicle to which the recovered vehicle instrument panel belongs, and taking the several control time nodes as target control time nodes;

[0012] Step S102: capturing target control data corresponding to each target control time node respectively; the target control data includes instantaneous stepping amount on the accelerator pedal, instantaneous release amount on the accelerator pedal, instantaneous stepping amount on the brake pedal, and instantaneous release amount on the brake pedal; the data marking types of the instantaneous stepping amount on the accelerator pedal, the instantaneous release amount on the accelerator pedal, the instantaneous stepping amount on the brake pedal, and the instantaneous release amount on the brake pedal are respectively marked as a1, a2, a3, and a4;

[0013] Step S103: Assume that data type a1 and data type a2 are relative data types; data type a3 and data type a4 are relative data types; collect the vehicle control data captured in each detection cycle to obtain the target control data set corresponding to each detection cycle. Among them, x1,x2,…,x n represent the target manipulation data collected at the 1st, 2nd, …, nth target manipulation time nodes respectively; where ax1, ax2, …, ax n Represent x1, x2, …, x n Corresponding data tag type; where ax1∈(a1,a2,a3,a4), ax2∈(a1,a2,a3,a4), …, ax n ∈(a1,a2,a3,a4); query the data tag type corresponding to each two adjacent target manipulation data in the target manipulation data set, and calculate the mutual influence value of the operation Among them, x i 、x i+1 They represent the target control data collected at the i-th and i+1-th target control time nodes respectively; where x i Corresponding data tag type ax i , and x i+1 Corresponding data tag type ax i+1 They are relative data types.

[0014] Step S104: Calculate the first warning value of the jth detection cycle: Among them, n j represents the total number of target manipulation data in the jth target manipulation data set; ∑μ j represents the sum of the mutual influence values ​​of all operations calculated in the jth target manipulation data set; z j Indicates the total number of pairs of data tags corresponding to two adjacent target manipulation data in the jth target manipulation data set; Calculate the first comprehensive warning value of the recovered vehicle dashboard Among them, m represents the total number of detection cycles, which is also the total number of target manipulation data sets;

[0015] All target control data collected in the above process are target control data that can reflect the abnormal swing of the recovered instrument panel during previous use, that is, control data that will cause precision damage to the pointer on the instrument panel of the recovered vehicle. Although the damage may be small, the vehicle is in a special operating environment for a long time. The impact of the operating environment is combined with some operating habits of the driver that will cause precision damage to the instrument panel pointer. Over time, the degree of damage will also increase. The above calculation of each warning value is also equivalent to calculating the possible degree of precision damage to the recovered instrument panel. The higher the warning value, the more likely the instrument panel is to suffer precision damage.

[0016] Further, step S200 includes:

[0017] Step S201: Retrieve all historical operation records of the vehicle to which the instrument panel of the recovered vehicle belongs in each detection cycle; obtain the operation section of the vehicle in each operation record, and obtain the average flatness F of the operation section; the measurement parameters of the flatness include the deviation value of the longitudinal concave-convex amount of the operation section surface, and the interval distance between each longitudinal concave-convex surface of the operation section surface;

[0018] Step S202: respectively obtain the stable load G of the vehicle when it passes through each working section; the stable load G refers to the load with the longest loading time when the vehicle is working on each working section; respectively obtain the average driving speed V of the vehicle on each working section; respectively extract the first comprehensive warning value calculated corresponding to each detection cycle of the vehicle; calculate the second detection warning value of the jth detection cycle: Among them, V L G represents the average driving speed of the vehicle on the working section corresponding to the Lth working record in the jth detection cycle; L represents the stable load corresponding to the Lth operation record of the vehicle on the working section in the jth detection cycle; k represents the number of historical operation records of the vehicle in the jth detection cycle; calculates the second comprehensive warning value of the instrument panel of the recovered vehicle Among them, m represents the total number of detection cycles, which is also the total number of target manipulation data sets;

[0019] The above-mentioned operating environment data extracted from the vehicle's historical operating records are all vehicle operating environment data that can cause abnormal swinging of the recovered vehicle dashboard during historical use. Compared with the data collected in step S100, the data collected in this step is equivalent to analyzing the possibility of external operating environment factors causing accuracy damage to the recovered dashboard, that is, the warning value analyzed in the above steps; the higher the second comprehensive warning value, the more the recovered dashboard is affected by the accuracy damage caused by the external operating environment; the analysis and calculation process of the above warning values ​​can improve the detection accuracy value of the recovered dashboard.

[0020] Furthermore, the process of S400 detecting the pins on the dashboard of the recovered vehicle includes:

[0021] Step S401: Set all the shaking switches to low, and adjust the Pin pins to high positions in sequence starting from Pin 1; if the instrument panel of the recovered vehicle has no response, readjust the current Pin pin to a low position; if a number of warning lights and LCD screens light up on the instrument panel of the recovered vehicle, keep the current Pin pin at a high position, and determine that the current Pin pin is a battery or ignition on the instrument panel of the recovered vehicle;

[0022] Step S402: Continue to adjust the remaining Pin pins to the high position. If there is no response, adjust the current Pin pin to the neutral position; input 100Hz to the Pin pin in the neutral position. If the pointer on the instrument panel of the recovered vehicle swings at this time, it is determined that the current Pin pin is a PWM signal; input 100Ω to the Pin pin in the neutral position. If the pointer on the instrument panel of the recovered vehicle swings at this time, it is determined that the current Pin pin is a resistance signal;

[0023] Step S403: measuring resistance between adjacent pairs of Pin pins at neutral positions in sequence. If the resistance between a pair of adjacent Pin pins at neutral positions is 120Ω, it is determined that the pair of adjacent Pin pins at neutral positions is CAN.

[0024] Furthermore, step S500 includes:

[0025] Step S501: The detection system obtains the specification model of the instrument panel of the recycled vehicle, and extracts the factory accuracy value of the instrument panel of the recycled vehicle; at the same time, from the factory data of the instrument panel of the recycled vehicle with the specification model, obtains the trajectory curve of the factory accuracy value of the instrument panel of the recycled vehicle under standard use conditions with the service life; obtains the actual service life of the vehicle to which the instrument panel of the recycled vehicle belongs, and obtains the theoretical recycling accuracy value σ2 of the instrument panel of the recycled vehicle in the trajectory curve according to the actual service life; extracts the current recycling accuracy value σ1 of the instrument panel of the recycled vehicle detected in step S400;

[0026] Step S502: Calculate the accuracy value deviation rate When ρ>0, it is judged that the instrument panel of the recycled vehicle shows premature aging; the representative service life of the instrument panel of the recycled vehicle is obtained in the trajectory curve according to the current recycling accuracy value σ1, and the remaining service life of the instrument panel of the recycled vehicle is estimated within the tolerance range of the accuracy error based on the representative service life, and an early warning is sent to the inspection personnel; when ρ≤0, it is judged that the instrument panel of the recycled vehicle shows normal aging, and the remaining service life of the instrument panel is estimated within the tolerance range of the accuracy error based on the actual service life, and an early warning is sent to the inspection personnel.

[0027] In order to better implement the above method, an intelligent detection system is also proposed, which includes: information collection module, data transmission module, detection warning value analysis and calculation module, instrument panel detection module, aging analysis module, and warning prompt module;

[0028] The information collection module is used to obtain the deflection and fall of the pointer on the instrument panel of the recovered vehicle; extract the vehicle control data generated by the vehicle to which the instrument panel of the recovered vehicle belongs; and to obtain the historical operating environment data of the vehicle;

[0029] A data transmission module, which sets a detection period and is used to transmit the vehicle control data extracted in each interval detection period;

[0030] The detection warning value analysis and calculation module is used to receive the data in the data transmission module, and based on the data, the first comprehensive warning value y1, the second comprehensive warning value y2, and the total warning value y 总 Calculation of

[0031] The instrument panel detection module is used to receive the data from the detection warning value analysis and calculation module; when the total warning value y 总 When it is greater than the warning threshold, the instrument panel of the recovered vehicle is tested for recovery accuracy;

[0032] The aging analysis module is used to receive data from the instrument panel detection module, analyze the aging of the instrument panel of the recycled vehicle based on the current recycling accuracy value of the instrument panel of the recycled vehicle, and estimate the remaining service life of the instrument panel of the recycled vehicle within the tolerance range of the accuracy error;

[0033] The early warning prompt module is used to receive data from the aging analysis module and send early warning prompts to management personnel based on the data.

[0034] Further, the detection warning value analysis and calculation module includes: a first comprehensive warning value calculation unit, a second comprehensive warning value calculation unit, and a total warning value calculation unit;

[0035] A first comprehensive warning value calculation unit, used to integrate and analyze the target control data received in each detection cycle, and calculate a first comprehensive warning value for the instrument panel of the recovered vehicle;

[0036] A second comprehensive warning value calculation unit is used to analyze the historical operating environment data of the vehicle to which the recovered vehicle instrument panel belongs, and calculate a second comprehensive warning value for the recovered vehicle instrument panel based on the first comprehensive warning value;

[0037] The total warning value calculation unit is used to receive data from the first comprehensive warning value calculation unit and the second comprehensive warning value calculation unit, and calculate the total warning value for the instrument panel of the recovered vehicle.

[0038] Furthermore, the aging analysis module includes an aging judgment unit and a lifespan estimation unit;

[0039] An aging judgment unit, which judges and analyzes whether the dashboard has aged prematurely based on the theoretical recovery accuracy value and the current recovery accuracy value of the recovered vehicle dashboard;

[0040] The life estimation unit is used to receive the data in the aging judgment unit, and estimate the remaining service life of the recycled vehicle instrument panel within the tolerance range of accuracy error according to whether the recycled vehicle instrument panel has aged prematurely.

[0041] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention analyzes the vehicle driving environment and the driving habits of the driver, and comprehensively calculates the extent to which the vehicle's instrument panel is affected by the vehicle's driving environment and the driver's driving habits; thereby realizing intelligent reminders for precision detection of the vehicle's instrument panel and an estimation of the remaining service life of the vehicle's instrument panel; and realizing timely grasp of the usage status of the vehicle's instrument panel, thereby ensuring precise operation of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0043] Figure 1 It is a flow chart of a multi-channel automobile instrument panel intelligent detection method of the present invention;

[0044] Figure 2 It is a structural schematic diagram of an intelligent detection system of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] See also Figure 1-Figure 2 The present invention provides a technical solution: a multi-channel automobile instrument panel intelligent detection method, the method comprising:

[0047] Step S100: installing sensors on the vehicle, constructing a virtual work scene for the vehicle to which the recovered vehicle dashboard belongs, extracting vehicle control data generated on the vehicle to which the recovered vehicle dashboard belongs, capturing the deflection and fall of the pointer on the recovered vehicle dashboard; setting a detection cycle, transmitting the vehicle control data extracted in each interval detection cycle to the detection system; the detection system integrates and analyzes the vehicle control data received in each detection cycle, and calculates the first comprehensive warning value y1 of the recovered vehicle dashboard;

[0048] Wherein, step S100 includes:

[0049] Step S101: setting a threshold value for instantaneous deflection speed of a recovered vehicle instrument panel pointer and a threshold value for instantaneous return speed of a recovered vehicle instrument panel pointer; capturing several control time nodes of the recovered vehicle instrument panel pointer at a speed greater than the threshold value for deflection speed or a speed greater than the threshold value for return speed in the vehicle control data generated on the vehicle to which the recovered vehicle instrument panel belongs, and taking the several control time nodes as target control time nodes;

[0050] Step S102: capturing target control data corresponding to each target control time node respectively; the target control data includes instantaneous stepping amount on the accelerator pedal, instantaneous release amount on the accelerator pedal, instantaneous stepping amount on the brake pedal, and instantaneous release amount on the brake pedal; the data marking types of the instantaneous stepping amount on the accelerator pedal, the instantaneous release amount on the accelerator pedal, the instantaneous stepping amount on the brake pedal, and the instantaneous release amount on the brake pedal are respectively marked as a1, a2, a3, and a4;

[0051] Step S103: Assume that data type a1 and data type a2 are relative data types; data type a3 and data type a4 are relative data types; collect the vehicle control data captured in each detection cycle to obtain the target control data set corresponding to each detection cycle. Among them, x1,x2,…,x n represent the target manipulation data collected at the 1st, 2nd, …, nth target manipulation time nodes respectively; where ax1, ax2, …, ax n Represent x1, x2, …, x n Corresponding data tag type; where ax1∈(a1,a2,a3,a4), ax2∈(a1,a2,a3,a4), …, ax n ∈(a1,a2,a3,a4); query the data tag type corresponding to each two adjacent target manipulation data in the target manipulation data set, and calculate the mutual influence value of the operation Among them, x i 、x i+1 They represent the target control data collected at the i-th and i+1-th target control time nodes respectively; where x i Corresponding data tag type ax i , and x i+1 Corresponding data tag type ax i+1 They are relative data types.

[0052] Step S104: Calculate the first warning value of the jth detection cycle: Among them, n jrepresents the total number of target manipulation data in the jth target manipulation data set; ∑μ j represents the sum of the mutual influence values ​​of all operations calculated in the jth target manipulation data set; z j Indicates the total number of pairs of data tags corresponding to two adjacent target manipulation data in the jth target manipulation data set; Calculate the first comprehensive warning value of the recovered vehicle dashboard Among them, m represents the total number of detection cycles, which is also the total number of target manipulation data sets;

[0053] Step S200: extracting historical operating environment data of the vehicle to which the recovered vehicle instrument panel belongs, and analyzing the historical operating environment data; based on the first comprehensive warning value, calculating a second comprehensive warning value y2 for the recovered vehicle instrument panel;

[0054] Wherein, step S200 includes:

[0055] Step S201: Retrieve all historical operation records of the vehicle to which the instrument panel of the recovered vehicle belongs in each detection cycle; obtain the operation section of the vehicle in each operation record, and obtain the average flatness F of the operation section; the measurement parameters of the flatness include the deviation value of the longitudinal concave-convex amount of the operation section surface, and the interval distance between each longitudinal concave-convex surface of the operation section surface;

[0056] Step S202: respectively obtain the stable load G of the vehicle when it passes through each working section; the stable load G refers to the load with the longest loading time when the vehicle is working on each working section; respectively obtain the average driving speed V of the vehicle on each working section; respectively extract the first comprehensive warning value calculated corresponding to each detection cycle of the vehicle; calculate the second detection warning value of the jth detection cycle: Among them, V L G represents the average driving speed of the vehicle on the working section corresponding to the Lth working record in the jth detection cycle; L represents the stable load corresponding to the Lth operation record of the vehicle on the working section in the jth detection cycle; k represents the number of historical operation records of the vehicle in the jth detection cycle; calculates the second comprehensive warning value of the instrument panel of the recovered vehicle Among them, m represents the total number of detection cycles, which is also the total number of target manipulation data sets;

[0057] Step S300: Calculate the total warning value y for the instrument panel of the recovered vehicle 总 =y1×y2; when the total warning value y 总 If the value is greater than the warning threshold, a recycling accuracy detection prompt is sent to the inspector;

[0058] Step S400: Performing a recycling accuracy test on the recycled vehicle instrument panel; the recycling accuracy test includes detecting the pins on the recycled vehicle instrument panel, testing the function of the recycled vehicle instrument panel, and testing the durability of the recycled vehicle instrument panel; obtaining the current recycling accuracy value of the recycled vehicle instrument panel;

[0059] Among them, the process of S400 detecting the pins on the dashboard of the recovered vehicle includes:

[0060] Step S401: Set all the shaking switches to low, and adjust the Pin pins to high positions in sequence starting from Pin 1; if the instrument panel of the recovered vehicle has no response, readjust the current Pin pin to a low position; if a number of warning lights and LCD screens light up on the instrument panel of the recovered vehicle, keep the current Pin pin at a high position, and determine that the current Pin pin is a battery or ignition on the instrument panel of the recovered vehicle;

[0061] Step S402: Continue to adjust the remaining Pin pins to the high position. If there is no response, adjust the current Pin pin to the neutral position; input 100Hz to the Pin pin in the neutral position. If the pointer on the instrument panel of the recovered vehicle swings at this time, it is determined that the current Pin pin is a PWM signal; input 100Ω to the Pin pin in the neutral position. If the pointer on the instrument panel of the recovered vehicle swings at this time, it is determined that the current Pin pin is a resistance signal;

[0062] Step S403: measuring resistance between a pair of adjacent pins at neutral positions in sequence. If the resistance between a pair of adjacent pins at neutral positions is 120Ω, it is determined that the pair of adjacent pins at neutral positions is CAN.

[0063] The shaking switch has three states: up, down, and neutral. Users are used to the fact that up is "high", down is "low", and neutral is floating. When the switch is turned up, the middle leg and the lower leg are connected. Therefore, from the back, the lower copper wire is connected to the positive side, and the upper copper wire is connected to the negative side. The middle leg of the three-terminal switch is connected to the test hole. When the switch is in the neutral position, CAN, R, and PWM signals can be input, and the output can also be tested.

[0064] The process of testing the vehicle dashboard includes some basic operations as follows:

[0065] Ground the test bench and connect it to the workshop power supply in the test workshop. Turn the ignition switch on the vehicle to the "ON" position and step on the accelerator of the vehicle to the bottom. At this time, the speed and power of the low-speed electric vehicle instrument are both rising. Step on the brake until the speed drops, turn off the vehicle, and start testing the instrument panel.

[0066] In principle, the CAN bus of passenger cars uses standard frames and a communication baud rate of 500K, while commercial vehicles, i.e. trucks, vehicles, agricultural machinery, etc., use extended frames and a communication baud rate of 250K. The frame format and communication baud rate are selected according to the vehicle model specifications.

[0067] When testing the instrument panel, the frequency and duty cycle can be set separately on the PWM output; the frequency is divided into four ranges and can be switched automatically:

[0068] 1.XXX (no decimal point): the minimum unit is 1Hz, the value range is 1Hz-999Hz;

[0069] 2. The minimum unit of X.XX (decimal point in the hundreds place) is 0.01Khz, and the value range is 1.00Khz-9.99Khz;

[0070] 3.XX.X (decimal point in tenth place): minimum unit is 0.1Khz; value range is 10.0KHz-99.9KHz;

[0071] 4.XXX (decimal point in tens and hundreds): the minimum unit is 1Khz; the value range is 1KHz-150KHz;

[0072] For example: the frequency display 133 means that the PWM outputs 133Hz pulses;

[0073] 1.01 means PWM outputs 1.01K pulses;

[0074] 54.1 means PWM outputs 54.1KHz pulses;

[0075] 1.2.4 means PWM outputs 124KHz pulses;

[0076] Duty cycle range: 0-100%;

[0077] Step S500: Based on the current recycling accuracy value of the recycled vehicle instrument panel, analyze the current aging condition of the recycled vehicle instrument panel; and estimate the remaining service life of the recycled vehicle instrument panel within the tolerance range of the accuracy error.

[0078] Wherein, step S500 includes:

[0079] Step S501: The detection system obtains the specification model of the instrument panel of the recycled vehicle, and extracts the factory accuracy value of the instrument panel of the recycled vehicle; at the same time, from the factory data of the instrument panel of the recycled vehicle with the specification model, obtains the trajectory curve of the factory accuracy value of the instrument panel of the recycled vehicle under standard use conditions with the service life; obtains the actual service life of the vehicle to which the instrument panel of the recycled vehicle belongs, and obtains the theoretical recycling accuracy value σ2 of the instrument panel of the recycled vehicle in the trajectory curve according to the actual service life; extracts the current recycling accuracy value σ1 of the instrument panel of the recycled vehicle detected in step S400;

[0080] Step S502: Calculate the accuracy value deviation rate When ρ>0, it is judged that the instrument panel of the recycled vehicle shows premature aging; the representative service life of the instrument panel of the recycled vehicle is obtained in the trajectory curve according to the current recycling accuracy value σ1, and the remaining service life of the instrument panel of the recycled vehicle is estimated within the tolerance range of the accuracy error based on the representative service life, and an early warning is sent to the inspection personnel; when ρ≤0, it is judged that the instrument panel of the recycled vehicle shows normal aging, and the remaining service life of the instrument panel is estimated within the tolerance range of the accuracy error based on the actual service life, and an early warning is sent to the inspection personnel.

[0081] In order to better implement the above method, an intelligent detection system is also proposed, which includes: information collection module, data transmission module, detection warning value analysis and calculation module, instrument panel detection module, aging analysis module, and warning prompt module;

[0082] The information collection module is used to obtain the deflection and fall of the pointer on the instrument panel of the recovered vehicle; extract the vehicle control data generated by the vehicle to which the instrument panel of the recovered vehicle belongs; and to obtain the historical operating environment data of the vehicle;

[0083] A data transmission module, which sets a detection period and is used to transmit the vehicle control data extracted in each interval detection period;

[0084] The detection warning value analysis and calculation module is used to receive the data in the data transmission module, and based on the data, the first comprehensive warning value y1, the second comprehensive warning value y2, and the total warning value y 总 Calculation of

[0085] Among them, the detection warning value analysis and calculation module includes: a first comprehensive warning value calculation unit, a second comprehensive warning value calculation unit, and a total warning value calculation unit;

[0086] A first comprehensive warning value calculation unit, used to integrate and analyze the target control data received in each detection cycle, and calculate a first comprehensive warning value for the instrument panel of the recovered vehicle;

[0087] A second comprehensive warning value calculation unit is used to analyze the historical operating environment data of the vehicle to which the recovered vehicle instrument panel belongs, and calculate a second comprehensive warning value for the recovered vehicle instrument panel based on the first comprehensive warning value;

[0088] A total warning value calculation unit, used to receive data from the first comprehensive warning value calculation unit and the second comprehensive warning value calculation unit, and calculate a total warning value for the instrument panel of the recovered vehicle;

[0089] The instrument panel detection module is used to receive the data from the detection warning value analysis and calculation module; when the total warning value y 总 When it is greater than the warning threshold, the instrument panel of the recovered vehicle is tested for recovery accuracy;

[0090] The aging analysis module is used to receive data from the instrument panel detection module, analyze the aging of the instrument panel of the recycled vehicle based on the current recycling accuracy value of the instrument panel of the recycled vehicle, and estimate the remaining service life of the instrument panel of the recycled vehicle within the tolerance range of the accuracy error;

[0091] Among them, the aging analysis module includes an aging judgment unit and a life estimation unit;

[0092] An aging judgment unit, which judges and analyzes whether the dashboard has aged prematurely based on the theoretical recovery accuracy value and the current recovery accuracy value of the recovered vehicle dashboard;

[0093] The life estimation unit is used to receive the data in the aging judgment unit, and estimate the remaining service life of the instrument panel of the recycled vehicle within the tolerance range of the accuracy error according to whether the instrument panel of the recycled vehicle has aged prematurely;

[0094] The early warning prompt module is used to receive data from the aging analysis module and send early warning prompts to management personnel based on the data.

[0095] It should be noted that, in this article, relational terms such as first, second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises", or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article, or device.

[0096] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A multi-channel automobile instrument panel intelligent detection method, characterized in that: The method comprises: Step S100: construct a virtual work scene for the vehicle to which the recovered vehicle dashboard belongs, and the virtual work scene is simulated according to the historical working environment of the vehicle; install a sensor on the vehicle to extract the vehicle control data generated on the vehicle to which the recovered vehicle dashboard belongs, and capture the deflection and fall of the pointer on the recovered vehicle dashboard; set a detection cycle, and transmit the vehicle control data extracted in each detection cycle to the detection system; the detection system integrates and analyzes the vehicle control data received in each detection cycle, and calculates the first comprehensive warning value y1 of the recovered vehicle dashboard; Step S200: extracting historical operating environment data of the vehicle to which the recovered vehicle instrument panel belongs, and analyzing the historical operating environment data; based on the first comprehensive warning value, calculating a second comprehensive warning value y2 for the recovered vehicle instrument panel; Step S300: Calculate the total warning value y for the instrument panel of the recovered vehicle 总 =y1×y2; when the total warning value y 总 If the value is greater than the warning threshold, a recycling accuracy detection prompt is sent to the inspector; Step S400: performing a recycling accuracy test on the recycled vehicle instrument panel; the recycling accuracy test includes detecting the pins on the recycled vehicle instrument panel, testing the function of the recycled vehicle instrument panel, and testing the durability of the recycled vehicle instrument panel; obtaining the current recycling accuracy value of the recycled vehicle instrument panel; Step S500: Based on the current recycling accuracy value of the recycled vehicle instrument panel, analyze the current aging condition of the recycled vehicle instrument panel; and estimate the remaining service life of the recycled vehicle instrument panel within the tolerance range of the accuracy error.

2. A multi-channel automobile instrument panel intelligent detection method according to claim 1, characterized in that: The step S100 includes: Step S101: setting a threshold value for instantaneous deflection speed of a recovered vehicle instrument panel pointer and a threshold value for instantaneous return speed of a recovered vehicle instrument panel pointer; capturing several control time nodes of the recovered vehicle instrument panel pointer at a speed greater than the threshold value for deflection speed or a speed greater than the threshold value for return speed in the vehicle control data generated on the vehicle to which the recovered vehicle instrument panel belongs, and taking the several control time nodes as target control time nodes; Step S102: capturing target control data corresponding to each target control time node respectively; the target control data includes instantaneous stepping amount generated on the accelerator pedal, instantaneous release amount generated on the accelerator pedal, instantaneous stepping amount generated on the brake pedal, and instantaneous release amount generated on the brake pedal; the data marking types of the instantaneous stepping amount generated on the accelerator pedal, the instantaneous release amount generated on the accelerator pedal, the instantaneous stepping amount generated on the brake pedal, and the instantaneous release amount generated on the brake pedal are respectively corresponding to a1, a2, a3, and a4; Step S103: Assume that data type a1 and data type a2 are relative data types; data type a3 and data type a4 are relative data types; collect the vehicle control data captured in each detection cycle to obtain the target control data set corresponding to each detection cycle. Among them, x1,x2,…,x n represent the target manipulation data collected at the 1st, 2nd, …, nth target manipulation time nodes respectively; where ax1, ax2, …, ax n represent x1, x2, …, x respectively. n The corresponding data tag type; where ax1∈(a1,a2,a3,a4), ax2∈(a1,a2,a3,a4), …, ax n ∈(a1,a2,a3,a4); respectively query the data tag type corresponding to each two adjacent target manipulation data in the target manipulation data set, and calculate the mutual influence value of the operation Among them, x i 、x i+1 They represent the target control data collected at the i-th and i+1-th target control time nodes respectively; where x i Corresponding data tag type ax i , and x i+1 Corresponding data tag type ax i+1 They are relative data types. Step S104: Calculate the first warning value of the jth detection cycle: Among them, n j represents the total number of target manipulation data in the jth target manipulation data set; ∑μ j represents the sum of the mutual influence values ​​of all operations calculated in the jth target manipulation data set; z j Indicates the total number of pairs of relative data types corresponding to two adjacent target manipulation data in the jth target manipulation data set; Calculate the first comprehensive warning value of the instrument panel of the recovered vehicle Among them, m represents the total number of detection cycles, which is also the total number of target manipulation data sets.

3. A multi-channel automobile instrument panel intelligent detection method according to claim 2, characterized in that: The step S200 includes: Step S201: Retrieve all historical operation records of the vehicle to which the instrument panel of the recovered vehicle belongs in each detection cycle; obtain the operation section of the vehicle in each operation record, and obtain the average flatness F of the operation section; the measurement parameters of the flatness include the deviation value of the longitudinal concave-convex amount of the operation section surface, and the interval distance between each longitudinal concave-convex surface of the operation section surface; Step S202: respectively obtain the stable load G of the vehicle when it passes through each working section; the stable load G refers to the load with the longest loading time when the vehicle is working on each working section; respectively obtain the average driving speed V of the vehicle on each working section; respectively extract the first comprehensive warning value calculated corresponding to each detection cycle of the vehicle; calculate the second detection warning value of the jth detection cycle: Among them, V L G represents the average driving speed of the vehicle on the working section corresponding to the Lth working record in the jth detection cycle; L represents the stable load corresponding to the Lth operation record of the vehicle on the working section in the jth detection cycle; k represents the number of historical operation records of the vehicle in the jth detection cycle; calculates the second comprehensive warning value of the instrument panel of the recovered vehicle Among them, m represents the total number of detection cycles, which is also the total number of target manipulation data sets.

4. A multi-channel automobile instrument panel intelligent detection method according to claim 1, characterized in that: The process of detecting the pins on the instrument panel of the recovered vehicle in step S400 includes: Step S401: Set all the shaking switches to low, and adjust the Pin pins to high positions in sequence starting from Pin 1; if the instrument panel of the recovered vehicle has no response, readjust the current Pin pin to a low position; if a number of warning lights and a LCD screen light up on the instrument panel of the recovered vehicle, keep the current Pin pin at a high position, and determine that the current Pin pin is a battery or ignition on the instrument panel of the recovered vehicle; Step S402: Continue to adjust the remaining Pin pins to the high position. If there is no response, adjust the current Pin pin to the neutral position; input 100Hz to the Pin pin in the neutral position. If the pointer on the instrument panel of the recovered vehicle swings at this time, it is determined that the current Pin pin is a PWM signal; input 100Ω to the Pin pin in the neutral position. If the pointer on the instrument panel of the recovered vehicle swings at this time, it is determined that the current Pin pin is a resistance signal; Step S403: measuring resistance between adjacent pairs of Pin pins at neutral positions in sequence. If the resistance between a pair of adjacent Pin pins at neutral positions is 120Ω, it is determined that the pair of adjacent Pin pins at neutral positions is CAN.

5. A multi-channel automobile instrument panel intelligent detection method according to claim 1, characterized in that: The step S500 includes: Step S501: The detection system obtains the specification model of the recycled vehicle instrument panel, and extracts the factory accuracy value of the recycled vehicle instrument panel; at the same time, obtains the trajectory curve of the factory accuracy value of the recycled vehicle instrument panel under standard use conditions with the service life from the factory data of the specification model of the recycled vehicle instrument panel; obtains the actual service life of the vehicle to which the recycled vehicle instrument panel belongs, and obtains the theoretical recycling accuracy value σ2 of the recycled vehicle instrument panel from the trajectory curve according to the actual service life; extracts the current recycling accuracy value σ1 of the recycled vehicle instrument panel detected in step S400; Step S502: Calculate the accuracy value deviation rate When ρ>0, it is judged that the instrument panel of the recycled vehicle shows premature aging; the representative service life of the instrument panel of the recycled vehicle is obtained in the trajectory curve according to the current recycling accuracy value σ1, and the remaining service life of the instrument panel of the recycled vehicle is estimated within the tolerance range of the accuracy error according to the representative service life, and an early warning is sent to the inspection personnel; when ρ≤0, it is judged that the instrument panel of the recycled vehicle shows normal aging, and the remaining service life of the instrument panel is estimated within the tolerance range of the accuracy error according to the actual service life, and an early warning is sent to the inspection personnel.

6. An intelligent detection system applied to the multi-channel automobile instrument panel intelligent detection method according to any one of claims 1 to 5, characterized in that: The detection system includes: an information collection module, a data transmission module, a detection warning value analysis and calculation module, a dashboard detection module, an aging analysis module, and a warning prompt module; The information collection module is used to obtain the deflection and fall of the pointer on the instrument panel of the recovered vehicle; extract the vehicle control data generated by the vehicle to which the instrument panel of the recovered vehicle belongs; and to obtain the historical operating environment data of the vehicle; The data transmission module is configured with a detection period to transmit the vehicle control data extracted within each detection period; The detection warning value analysis and calculation module is used to receive the data in the data transmission module, and based on the data, the first comprehensive warning value y1, the second comprehensive warning value y2, and the total warning value y 总 Calculation of The instrument panel detection module is used to receive the data in the detection warning value analysis and calculation module; when the total warning value y 总 When it is greater than the warning threshold, the recovery accuracy of the recovered vehicle dashboard is tested; The aging analysis module is used to receive the data in the instrument panel detection module, analyze the aging condition of the instrument panel of the recycled vehicle based on the current recycling accuracy value of the instrument panel of the recycled vehicle, and estimate the remaining service life of the instrument panel of the recycled vehicle within the tolerance range of the accuracy error; The early warning prompt module is used to receive the data in the aging analysis module and send an early warning prompt to the management personnel based on the data.

7. An intelligent detection system according to claim 6, characterized in that: The detection warning value analysis and calculation module includes: a first comprehensive warning value calculation unit, a second comprehensive warning value calculation unit, and a total warning value calculation unit; The first comprehensive warning value calculation unit is used to integrate and analyze the target control data received in each detection cycle and calculate the first comprehensive warning value for the instrument panel of the recovered vehicle; The second comprehensive warning value calculation unit is used to analyze the historical operating environment data of the vehicle to which the recovered vehicle instrument panel belongs, and calculate a second comprehensive warning value for the recovered vehicle instrument panel based on the first comprehensive warning value; The total warning value calculation unit is used to receive data from the first comprehensive warning value calculation unit and the second comprehensive warning value calculation unit, and calculate the total warning value for the instrument panel of the recovered vehicle.

8. An intelligent detection system according to claim 6, characterized in that: The aging analysis module includes an aging judgment unit and a lifespan estimation unit; The aging judgment unit judges and analyzes whether the dashboard has aged prematurely based on the theoretical recovery accuracy value and the current recovery accuracy value of the recovered vehicle dashboard; The life estimation unit is used to receive the data in the aging judgment unit, and estimate the remaining service life of the recycled vehicle instrument panel within the tolerance range of accuracy error according to whether the recycled vehicle instrument panel has aged prematurely.

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