CN115290351A

CN115290351A - Automobile instrument offline detection method and system

Info

Publication number: CN115290351A
Application number: CN202210914787.7A
Authority: CN
Inventors: 杨怀强; 郑玉多; 董红荣
Original assignee: BDstar Intelligent and Connected Vehicle Technology Co Ltd
Current assignee: Beidou Xingtong Zhilian Technology Nanjing Co ltd; BDstar Intelligent and Connected Vehicle Technology Co Ltd
Priority date: 2022-08-01
Filing date: 2022-08-01
Publication date: 2022-11-04

Abstract

The application provides an automobile instrument offline detection method and system, wherein the method comprises the following steps: determining test items required to be subjected to offline detection of the automobile instrument, and determining a detection method of each test item; wherein, the detection contents of different test items are different, and the detection methods of different test items are different; determining a detection tool of each test item in sequence according to the detection method of each test item, and obtaining the detection result of each test item through the detection method and the detection tool of each test item; the detection tool of the test item is a software detection tool and/or detection equipment on the upper computer; if the test item is judged to be abnormal according to the detection result, the subsequent test item is stopped, the automobile instrument is determined to be an abnormal instrument, and a software detection tool is configured on the upper computer, so that detection equipment and tools which are input in the detection process are reduced, each item to be detected of the automobile instrument is detected quickly, and the detection efficiency is improved.

Description

Automobile instrument offline detection method and system

Technical Field

The application relates to the field of automobile instrument detection, in particular to an automobile instrument offline detection method and system.

Background

The automobile instrument is one of the most important parts in automobile electronic parts, and the assembly and production process of the automobile instrument is possible to be successfully off-line after a plurality of process flows of automatic production equipment are required. This means that the automation line equipment needs to adopt the mass production activity of motormeter after complicated development, debugging, acceptance check, if there are a large amount of production task demands midway, and the automation can not meet the requirement in time, can use the quick off-line detection scheme.

Due to the complex functions and complex debugging and acceptance inspection of automobile instrument products, the existing rapid offline detection scheme has complex detection process and low efficiency.

Disclosure of Invention

In view of this, the present application aims to provide an automobile instrument offline detection method and system, which reduce detection equipment and tools required in a detection process by configuring a software detection tool on an upper computer, quickly detect each item to be detected of an automobile instrument, improve detection efficiency, and meet delivery requirements of products.

The off-line detection method for the automobile instrument comprises the following steps:

determining test items required to be subjected to offline detection of the automobile instrument, and determining a detection method of each test item; wherein, the detection contents of different test items are different, and the detection methods of different test items are different;

determining a detection tool of each test item in sequence according to the detection method of each test item, and obtaining the detection result of each test item through the detection method and the detection tool of each test item; the detection tool of the test item is a software detection tool and/or detection equipment on the upper computer;

and if the test item is judged to be abnormal according to the detection result, stopping performing subsequent test items, and determining the automobile instrument as an abnormal instrument.

In some embodiments, in the method for detecting the offline of the motormeter, the detection method directly aims at the detection content to directly judge that the test item is abnormal according to the detection result;

or, the detection method indirectly aims at the detection content to indirectly judge the abnormality of the test item according to the detection result.

In some embodiments, in the offline detection method for an automobile instrument, when the detection tool of the test item is a software detection tool, the obtaining of the detection result of the test item through the detection method and the detection tool of the test item specifically includes:

the software detection tool responds to the received first target operation, generates a first detection signal and sends the first detection signal to the automobile instrument;

and the automobile instrument processes the first detection signal to obtain a first processing result, and determines the detection result of the test item according to the first processing result.

In some embodiments, in the method for detecting an automobile instrument off line, determining a detection result of the test item according to the first processing result includes:

the motormeter displays the first processing result so as to determine the detection result of the test item according to the displayed first processing result;

alternatively, the first and second electrodes may be,

the motormeter feeds the first processing result back to a software detection tool;

and the software detection tool determines the detection result of the test item according to the received first processing result and displays the detection result in a human-computer interaction interface.

In some embodiments, in the method for detecting the vehicle meter offline, the vehicle meter displays the first processing result, so as to determine the detection result of the test item according to the displayed first processing result, and the method is applied to at least one of the following test items:

white screen dark spot detection, black screen bright spot detection, red screen color detection, green screen color detection and blue screen color detection in screen detection; speedometer detection, tachometer detection and water thermometer detection in indicator gauge detection; alarm indicator light detection, the alarm indicator light includes: the system comprises a left steering indicator lamp, a right steering indicator lamp, an engine fault MIL indicator lamp, an engine oil pressure indicator lamp, a generator charge-discharge indicator lamp, a water temperature high indicator lamp, a fuel low indicator lamp, a main driving safety belt indicator lamp, an airbag indicator lamp, an EPB indicator lamp and an EBD fault lamp;

the software detection tool determines the detection result of the test item according to the received first processing result, displays the detection result in a human-computer interaction interface, and at least applies to one of the following test items:

detecting a written ECU serial number, a written software part number, a written part assembly number and a written supplier code in the written instrument information detection; reading ECU hardware version detection, ECU software version detection, CAN signal matrix version detection, function specification version detection, diagnosis questionnaire version detection, ECU serial number detection, software part number detection, part assembly number detection, supplier code detection and EEPROM version detection in the instrument information detection; mileage zero clearing detection; DTC clear detect.

In some embodiments, in the off-line detection method for the automobile instrument, when the detection tool of the test item is a software detection tool and a detection device, the obtaining of the detection result of the test item through the detection method and the detection tool of the test item specifically includes:

after a target pin of the automobile instrument is connected with the detection device, the automobile instrument receives a second detection signal and processes the second detection signal to obtain a second processing result;

and determining the detection result of the test item according to the second processing result.

In some embodiments, in the method for detecting an automobile meter offline, the test items of the detection tool, which are software detection tools and detection equipment, include at least one of: detecting a KL30 power supply; detecting a left blind area indicator lamp circuit; detecting a right blind area indicator lamp circuit; detecting a USB interface; detecting backlight of a display screen; the method comprises the steps of detecting fuel input resistance, AD acquisition precision and fuel items displayed by a fuel meter.

In some embodiments, in the offline detection method for an automobile instrument, when the detection tool of the test item is a detection device, the obtaining of the detection result of the test item by the detection method and the detection tool of the test item specifically includes:

carrying out first target detection operation on the automobile instrument through detection equipment, and determining a detection result of the test item according to the state of a detection tool;

or connecting the detection equipment and the automobile instrument, updating the state of the automobile instrument based on the detection equipment, and determining the test result of the test item according to the updated state of the automobile instrument.

In some embodiments, the method for detecting the meter down status of the vehicle, which updates the status of the vehicle based on the detection device, includes:

carrying out first target detection operation on the automobile instrument through the detection equipment, determining the detection result of the test item according to the state of the detection equipment, and at least applying to one of the following test items:

detecting the ADASCAN terminal resistance of CAN communication; detecting a static current;

updating the state of the automobile instrument based on the detection equipment, determining the test result of the test item according to the updated state of the automobile instrument, and applying the test result to at least one of the following test items;

KL15 power supply detection, anti-theft indicator light detection, brake liquid level low indicator light detection and switch key detection.

In some embodiments, there is also provided an off-line detection system for a motormeter, the system comprising: the system comprises an upper computer and at least one detection device, wherein the upper computer and the detection device are respectively connected with an automobile instrument, a software detection tool is configured in the upper computer, and the step of the automobile instrument off-line detection method is executed during the operation of the system.

The embodiment of the application provides an automobile instrument offline detection method and system, a software detection tool is configured on an upper computer, so that part of test items can be completed only through the software detection tool, part of test items can be completed through the cooperation of the software detection tool and detection equipment, and part of test items can be completed only through the detection equipment.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

FIG. 1 is a flowchart illustrating a method of an off-line detection method for a vehicle meter according to an embodiment of the present application;

fig. 2 is a flowchart illustrating a method for obtaining a detection result of the test item through the detection method and the detection tool of the test item when the detection tool of the test item is a software detection tool according to the embodiment of the present application;

FIG. 3 is a flowchart illustrating a method for determining a detection result of the test item according to the first processing result in an embodiment of the present application;

fig. 4 is a flowchart illustrating a method for obtaining a detection result of the test item through the detection method and the detection tool of the test item when the detection tool of the test item is a software detection tool and a detection device according to the embodiment of the present application;

fig. 5 shows a schematic structural diagram of an automobile meter offline detection system according to an embodiment of the present application.

Detailed Description

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are only for illustration and description purposes and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.

In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.

The automobile instrument is one of the most important parts in automobile electronic parts, and the assembly and production process of the automobile instrument can be successfully off-line only after a plurality of process flows of automatic production equipment are required. This means that the automation line equipment needs to adopt the mass production activity of motormeter after complicated development, debugging, acceptance check, if there are a large amount of production task demands midway, and the automation can not meet the requirement in time, can use the quick off-line detection scheme.

Based on this, the embodiment of the application provides an automobile instrument offline detection method, a software detection tool is configured on an upper computer, so that a part of test items can be completed only through the software detection tool, a part of test items are completed through the cooperation of the software detection tool and detection equipment, a part of test items are completed only through the detection equipment, meanwhile, through an indirect test method, the software detection tool is adopted as many as possible to complete the test items, so that the detection equipment and the tool which are input in the detection process are reduced, each item to be detected of the automobile instrument is detected rapidly, the production efficiency is improved, and the delivery requirements of products are met.

Referring to fig. 1, fig. 1 shows a flow chart of a method for detecting a vehicle instrument offline in an embodiment of the present application; specifically, the method comprises the following steps S101-S103:

s101, determining test items of the automobile instrument which need to be subjected to offline detection, and determining a detection method of each test item; wherein, the detection contents of different test items are different, and the detection methods of different test items are different;

s102, determining a detection tool of each test item in sequence according to the detection method of each test item, and obtaining the detection result of each test item through the detection method and the detection tool of each test item; the detection tool of the test item is a software detection tool and/or detection equipment on the upper computer;

s103, if the test item is judged to be abnormal according to the detection result, the subsequent test items are stopped, and the automobile instrument is determined to be an abnormal instrument.

In the step S101, all test items of the offline test are classified into a plurality of test types; specifically, the test types include: detecting an instrument product and an external interface; CAN communication detection; detecting hardware output; detecting the backlight function of the instrument; detecting a display screen; detecting an indicator; detection of an alarm indicator lamp: detecting the written information; reading information detection; and detecting other test items.

At least one test item is included under each test type. Specifically, in this embodiment of the present application, the test items detected by the meter product and the external interface include: KL30 power supply detection, KL15 power supply detection, and fuel item detection comprising fuel input resistance, AD acquisition precision and fuel meter display; detecting an anti-theft indicator light; detecting a brake liquid level low indicator lamp; and detecting the switch key.

The test items under CAN communication detection comprise: and detecting terminal resistance of the ADASCAN.

The test items under the detection of the hardware output comprise: the detection method comprises the following steps of left blind area indicator lamp circuit detection, right blind area indicator lamp circuit detection and USB interface detection.

The test items under the detection of the backlight function of the instrument comprise display screen backlight detection.

The test items under the screen detection of the display screen comprise: white screen dark spot detection, black screen bright spot detection, red screen color detection, green screen color detection and blue screen color detection.

The test items under the detection of the indicator sheet include: detecting a speedometer, a tachometer and a water thermometer;

the test items under the detection of the alarm indicator lamp comprise: alarm indicator light detection, the alarm indicator light includes: the system comprises a left steering indicator lamp, a right steering indicator lamp, an engine fault MIL indicator lamp, an engine oil pressure indicator lamp, a generator charge-discharge indicator lamp, a water temperature high indicator lamp, a fuel low indicator lamp, a main driving safety belt indicator lamp, an airbag indicator lamp, an EPB indicator lamp and an EBD fault lamp;

the test items under the detection of the written information include: the method comprises the steps of detecting a written ECU serial number, detecting a written software part number, detecting a written part assembly number and detecting a written supplier code.

The test items under the detection of the reading meter information comprise: reading ECU hardware version detection, reading ECU software version detection, reading CAN signal matrix version detection, reading function specification version detection, reading diagnosis questionnaire version detection, reading ECU serial number detection, reading software part number detection, reading part assembly number detection, reading supplier code detection, reading EEPROM version detection.

Other test items under test include: detecting instrument quiescent current and mileage zero clearing; DTC clearance test.

Here, each test item detects at least one function of the meter, that is, the detection contents of different test items are different, for example, whether a warning lamp is normal, whether a function of reading the hardware version of the ECU is normal, and the like.

In step S102, a detection tool of each test item is determined in sequence according to the detection method of the test item, and a detection result of the test item is obtained through the detection method and the detection tool of the test item.

The sequential execution of each test item may be performed according to a test type.

According to the detection tools used by the test items, the test items are divided into three types, one type is the test item which can be completed only by adopting a software detection tool and through the interaction of the software detection tool and the automobile instrument; one type is a test item that can be completed using only test equipment; one type is a test item that requires test equipment and software detection tools.

In the embodiment of the present application, please refer to fig. 2, and fig. 2 shows a flowchart of a method for obtaining a detection result of the test item through the detection method and the detection tool of the test item when the detection tool of the test item is a software detection tool in the embodiment of the present application, which specifically includes the following steps S201 to S202:

s201, the software detection tool responds to the received first target operation, generates a first detection signal and sends the first detection signal to the automobile instrument;

s202, the motormeter processes the first detection signal to obtain a first processing result, and determines the detection result of the test item according to the first processing result.

Here, the first target operation does not refer to only one operation, but refers to all operations required to complete the test item.

The software detection tool is provided with a virtual operation panel, the virtual operation panel is pre-deployed with an operation button of each test item, and the first target operation is an operation aiming at the operation button of the test item. The first target operation may be a click operation, a touch operation, or the like.

Through setting up operating button, simplified the operation degree of difficulty that detects, improved detection efficiency.

Because the test items are many, the virtual operation panel is provided with a multi-level operation menu; wherein, the operation button of the first-level operation menu is of a test type; the secondary operation buttons under each primary operation menu are test items under the test type.

Illustratively, the software detection tool responds to clicking an operation button of the primary operation menu and controls the virtual operation panel to display a secondary operation button; and clicking the secondary operation button to perform the test item corresponding to the secondary operation button.

Here, the software detection tool generates a first detection signal according to a pre-configured detection rule in response to receiving the first target operation; and aiming at the first target operation of different test items, the pre-configured detection rules are different, and the generated first detection signals are different.

In this embodiment of the application, determining the detection result of the test item according to the first processing result in step S202 includes:

alternatively, referring to fig. 3, the determining the detection result of the test item according to the first processing result includes the following steps S301 to S302;

s301, the automobile instrument feeds the first processing result back to a software detection tool;

s302, the software detection tool determines the detection result of the test item according to the received first processing result, and displays the detection result in a human-computer interaction interface.

That is to say, some test items, after the motormeter processes the first detection signal, the external state change of the motormeter itself can show whether the test item is abnormal, for example, the display screen detects, and the detection result can be directly obtained by observing the display screen of the motormeter.

After the automobile instrument processes the first detection signal, because the internal logic function is detected, the external state of the automobile instrument itself does not change, or the change cannot indicate whether the test item is abnormal, a processing result needs to be fed back to a software detection tool in an upper computer, and the software detection tool judges whether the test item is abnormal. For example, in the written information detection, the automobile instrument cannot directly show whether the written information is successful or not.

The detection result is displayed in the human-computer interaction interface, and different test items can display the detection result in different modes. For example, if the detection result is abnormal, the FAIL symbol is displayed, and if the detection result is normal, the PASS character is displayed; or if the detection result is abnormal, displaying a red mark, and if the detection result is normal, displaying a green mark.

In the embodiment of the application, the test result does not need to be fed back to the upper computer, but the first processing result is displayed through the automobile instrument, so that the detection result of the test item is determined according to the displayed first processing result, and the method is at least applied to one of the following test items:

white screen dark spot detection, black screen bright spot detection, red screen color detection, green screen color detection and blue screen color detection in screen detection; speedometer detection, tachometer detection and water thermometer detection in indicator gauge detection; in the alarm indicator lamp detection, the left steering indicator lamp detection, the right steering indicator lamp detection, the engine fault MIL indicator lamp detection, the engine oil pressure indicator lamp detection, the generator charge and discharge indicator lamp detection, the water temperature high indication detection, the fuel oil low indication detection, the main driving safety belt detection, the air bag safety indicator lamp detection, the EPB indicator lamp detection and the EBD fault lamp detection are carried out;

the processing result needs to be fed back to the upper computer, the software detection tool determines the detection result of the test item according to the received first processing result, and the detection result is displayed in the human-computer interaction interface and at least applied to one of the following test items:

detecting a written ECU serial number, a written software part number, a written part assembly number and a written supplier code in the written instrument information detection; reading ECU hardware version detection, ECU software version detection, CAN signal matrix version detection, function specification version detection, diagnosis questionnaire version detection, ECU serial number detection, software part number detection, part assembly number detection, supplier code detection and EEPROM version detection in the instrument information detection; mileage zero clearing detection; DTC clearance test.

Referring to fig. 4, when the detection tools of the test item are a software detection tool and a detection device, the method for detecting the test item and the detection tool to obtain the detection result of the test item specifically includes the following steps S401 and S402:

s401, after a target pin of an automobile instrument is connected with the detection device, the automobile instrument receives a second detection signal and processes the second detection signal to obtain a second processing result;

s402, determining the detection result of the test item according to the second processing result.

In the embodiment of the application, the test items of the detection tool and the detection device are software detection tools and at least one of the following items: detecting a KL30 power supply; detecting a left blind area indicator lamp circuit; detecting a right blind area indicator lamp circuit; detecting a USB interface; detecting backlight of a display screen; the method comprises the steps of detecting the fuel input resistance value, the AD acquisition precision and the fuel item displayed by a fuel meter.

Here, in some test items, the second detection signal is generated by the software detection tool in response to receiving a second target operation, and the upper computer sends the second detection signal to the automobile instrument.

In some test items, the second detection signal is generated by the detection device in response to receiving a second target operation, and the detection device transmits the second detection signal to a meter of the automobile.

Determining the detection result of the test item according to the second processing result, wherein the following conditions are also included:

the first condition is as follows: and the automobile instrument displays the second processing result so as to determine the detection result of the test item according to the displayed second processing result.

Case two: the automobile instrument feeds the second processing result back to a software detection tool;

and the software detection tool determines the detection result of the test item according to the received second processing result and displays the detection result in a human-computer interaction interface.

In the embodiment of the application, the off-line detection method for the automobile instrument, when the detection tool of the test item is the detection device, obtaining the detection result of the test item through the detection method and the detection tool of the test item specifically includes:

carrying out first target detection operation on the automobile instrument through detection equipment, and determining a detection result of the test item according to the state of the detection equipment;

That is, some test items are mainly detected by the detection device during testing, and whether the detection result is abnormal or not is fed back to the detection device.

When some test items are tested, the detection equipment is only auxiliary, and whether the detection result is abnormal or not is still determined according to the state change of the vehicle instrument.

Specifically, mainly using a detection device, performing a first target test operation on the automobile instrument through the detection device, determining a detection result of the test item according to a state of a detection tool, and applying to at least one of the following test items:

detecting the ADASCAN terminal resistance of CAN communication; detecting static current;

using detection equipment as assistance, updating the state of the automobile instrument based on the detection equipment, determining the test result of the test item according to the updated state of the automobile instrument, and applying the test result to at least one of the following test items;

In the method for detecting the offline of the automobile instrument, updating the state of the automobile instrument based on the detection equipment comprises the following steps:

updating the state of the motormeter in response to a second target detection operation for the detection device;

or, in response to a third target detection operation for the motormeter, updating the state of the motormeter.

In the off-line detection method for the automobile instrument, aiming at some test items, the detection method directly aims at the detection content so as to directly judge the abnormality of the test item according to the detection result;

or, for some test items, the detection method indirectly aims at the detection content to indirectly judge that the test item is abnormal according to the detection result.

According to the automobile instrument offline detection method, each test item detects whether the function of a part of structures of an automobile instrument is normal, as long as the function is normal, the structure for realizing the function is judged to be normal, and for the structures corresponding to some test items, whether the structures corresponding to the test items are normal or not can be indirectly verified by detecting whether other functions are normal or not. For example, in power supply detection, it is difficult to determine whether the KL30 power supply circuit itself is abnormal for the KL30 power supply, but if the KL30 power supply circuit is normal, the motormeter can implement some functions, and it is possible to indirectly detect whether the structure corresponding to the KL30 power supply circuit is normal by detecting whether other functions are normal.

The automobile instrument offline detection method further comprises the following steps:

and counting the test items with abnormal test results.

Specifically, the software detection tool may count the test items of which the detection results are abnormal.

And counting the test items with abnormal detection results, and performing some multi-disk inspection work according to the statistical results, such as calculating the abnormal rate, overhauling the production line and the like.

The following sequentially describes a detection method and a detection result of each test item under each test type in the embodiment of the present application. Wherein, PIN is the PIN of motormeter in this application embodiment.

The test type one: detecting an instrument product and an external interface;

test items: detecting a KL30 power supply;

the detection method comprises the following steps: the KL30 (Pin 1) is connected with a 13.5V test power supply, the KL15 (Pin 2) is disconnected, and the power supply input function of the KL30 of the automobile instrument is detected; the required detection tool: 13.5V test power supply, software detection tool on the upper computer; and (3) detection results: the method comprises the following steps that a 13.5V test power supply is connected with a KL30 (Pin 1), after the KL15 (Pin 2) is disconnected, a software detection tool on an upper computer simulates the opening operation of a vehicle door, generates a simulated vehicle door opening signal and sends the simulated vehicle door opening signal to an automobile instrument; if the detection result is: when the automobile instrument display door is opened, indicating that the function of the KL30 power supply module of the automobile instrument is normal; otherwise, if the detection result is: if the instrument is not displayed, the function abnormality of the KL30 power supply module of the automobile instrument is indicated.

Test items: detecting a KL15 power supply;

the detection method comprises the following steps: after the KL30 (Pin 1) is connected with a 13.5V test power supply, a KL15 (Pin 2) is connected with the 13.5V test power supply, and the KL15 power supply input function of the detection instrument is realized; a detection tool: 13.5V test power supply; and (3) detection results: after a KL30 (Pin 1) is connected with a 13.5V test power supply in KL30 power supply detection, and a KL15 (Pin 2) is connected with the 13.5V test power supply, an automobile instrument should display a default extremely simple style theme under normal conditions; therefore, if the detection result shows that the default extremely simple style theme is displayed on the automobile instrument, it indicates that the KL15 power supply module of the instrument is normal; and otherwise, if the detection result shows that the automobile instrument does not display the default extremely simple style theme, the KL15 power supply module of the instrument is abnormal. Since the KL15 power supply detection is performed on the KL30 power supply, the original display state is maintained and a door open prompt is displayed if the automobile instrument does not display the default extremely simple style theme.

Test items: the method comprises the steps of detecting fuel input resistance, AD acquisition precision and fuel items displayed by a fuel meter;

the detection method comprises the following steps: KL30 (Pin 1) is connected with a 13.5V test power supply, test resistors (Pin 8 and Pin 5) are connected, then KL15 (Pin 2) is connected with the 13.5V test power supply, a measured value and a fuel gauge display state are observed, and the following 3 times of resistance values (an uplink method) are input to sequentially repeat the steps:

inputting 55 omega, and observing a resistance value detection result and the number of display sections of the fuel gauge;

inputting 240 omega, observing the resistance detection result, the number of display sections of the fuel gauge and the state of a low-fuel alarm lamp; inputting 256 omega, observing the resistance detection result, the number of display sections of the fuel gauge and the state of a low-fuel alarm lamp;

wherein different resistance values of the test resistor represent the state of the fuel quantity in the fuel tank.

A detection tool: software detection tool and test resistance on the upper computer. The test resistor adopts a resistor box.

And (3) detection results: the method comprises the steps that a resistance value is input, an AD acquisition module acquires an electric signal to detect the input resistance value, a fuel meter in an instrument displays the fuel quantity according to the detected input resistance value, the instrument sends the detected input resistance value to an upper computer, and the detected input resistance value is displayed in a human-computer interaction interface of the upper computer; the detection tool software judges whether the detected error of the input resistance value meets a preset error condition or not, and observes whether a fuel gauge and a low fuel alarm lamp in the instrument meet a preset normal state or not, and if the error of the detected input resistance value meets the preset error condition, a green PASS character is displayed; the fuel item detection result is normal; if any one of the detection results is not matched with the fuel item, a red FAIL character is displayed, and the fuel item detection result is abnormal.

Illustratively, the normal test results are as follows:

when inputting 55 Ω, the detection result resistance range that the host computer shows: 55 +/-2 omega, and 8 sections of a fuel meter in the meter are displayed;

inputting 240 omega, and displaying the resistance range of the detection result by the upper computer: 240 +/-3 omega, the fuel meter in the instrument displays 1 section, and the low fuel alarm lamp is normally on;

inputting 256 omega, and displaying a detection result resistance range by an upper computer: 256 +/-3 omega, the fuel gauge in the instrument displays a 0 section, and the low fuel alarm lamp flickers.

In the embodiment of the present application, during the test item, after the test resistor is connected, the KL15 (Pin 2) is connected to the 13.5V test power supply again, so that the meter enters the fast damping mode, the change of the input resistance value is responded quickly, and the detection efficiency is improved.

Test items: detecting an anti-theft indicator light;

the detection method comprises the following steps: the anti-theft indicator lamp Pin11 is grounded, and whether the anti-theft indicator lamp is lightened or not is observed; a detection tool: a ground terminal; and (3) detection results: if the anti-theft indicator light is lightened, the detection is passed, and an anti-theft indicator light module in the instrument is normal; if the anti-theft indicator light is not lightened, the detection fails, and the anti-theft indicator light module in the instrument is abnormal.

It should be noted that the antitheft indicating lamp needs to work in a vehicle dormant state, so that the situation that the instrument enters a full power consumption state when the antitheft indicating lamp works is avoided, and the antitheft indicating lamp is independent of the automobile instrument for reducing power consumption (protecting a longer working state of a storage battery), but the detection is still carried out during offline detection.

Test items: brake level low indicator light detection

The detection method comprises the following steps: the brake liquid level low indicator lamp Pin12 is grounded, and whether the brake liquid level low indicator lamp is lightened or not is observed; a detection tool: a ground terminal; and (3) detection results: if the brake liquid level low indicator lamp is lightened, the detection is passed, and the brake liquid level low indicator lamp module in the instrument is normal; if the brake liquid level low indicator light is not lightened, the detection fails, and the brake liquid level low indicator light module in the instrument is abnormal.

Test type two: CAN communication detection;

test items: detecting terminal resistance of the ADASCAN;

the detection method comprises the following steps: measuring the resistance value of the terminal between Pin 14 and Pin 15 by using a universal meter so as to judge whether the terminal is qualified or not; and (3) detection results: if the multimeter measures that the resistance value range of the terminal between Pin 14 and Pin 15 is within 119.6-122 omega, the detection is passed, and the ADASCAN terminal resistance in the instrument is normal; if the multimeter measures that the resistance value range of the terminal between Pin 14 and Pin 15 exceeds: if the detection is within the range of 119.6-122 omega, the detection fails; the ADASCAN terminal resistance in the meter is abnormal.

It should be noted that: the ADASCAN terminal resistor belongs to CAN node detection, and the CAN node is not a component of an automobile instrument in terms of functions, but is deployed on the automobile instrument based on the vehicle CAN communication network deployment requirement, so that the test item is carried out to ensure the normal operation of the CAN communication network.

The test type three: detecting hardware output;

test items: detecting a left blind area indicator lamp circuit:

the detection method comprises the following steps: the instrument interface pin9 is connected with an external left blind area indicator lamp object, and detects whether the function of the instrument left blind area indicator lamp output driving external indicator lamps is qualified or not by simulating the trigger condition of the left blind area indicator lamp; a detection tool: a software detection tool and a left blind area indicator light object; and (3) detection results: clicking a left blind area indicator lamp button on a virtual operation panel of a software detection tool, virtually simulating a left blind area indicator lamp lightening triggering condition by the software detection tool according to a preset rule, generating a detection signal, and sending the detection signal to an instrument; after the instrument receives the detection signal, the instrument controls the object left blind area indicator lamp to light; if the object left blind area indicator lamp is lightened, the object passes the right blind area indicator lamp, and the instrument is normal; otherwise, if the object left blind area indicator lamp is not lightened, the detection failure is indicated, and the instrument is abnormal.

Test items: detecting a right blind area indicator lamp circuit:

the detection method comprises the following steps: the instrument interface pin10 is connected with an external right blind area indicator lamp real object, and is used for detecting whether the function of the instrument right blind area indicator lamp output driving external indicator lamps is qualified or not by simulating the triggering condition of the right blind area indicator lamp; a detection tool: a software detection tool and a right blind area indicator light object; and (3) detection results: clicking a right blind area indicator lamp button on a virtual operation panel of a software detection tool, virtually simulating a right blind area indicator lamp lighting triggering condition by the software detection tool according to a preset rule, generating a detection signal, and sending the detection signal to an instrument; after the instrument receives the detection signal, the instrument controls the object right blind area indicator lamp to light; if the object right blind area indicator lamp is lightened, the object right blind area indicator lamp indicates that the object is qualified and the instrument is normal; otherwise, if the object right blind area indicator lamp is not lighted, the detection failure is indicated, and the instrument is abnormal.

Test items: detecting a USB interface;

the detection method comprises the following steps: the instrument is connected with a matched vehicle machine product, and meanwhile, the vehicle machine end enters a factory mode to observe whether the USB interface can read the version number of the instrument; a detection tool: a matched vehicle machine product and a software detection tool; and (3) detection results: clicking a USB interface button on a virtual operation panel of a software detection tool, generating a USB data reading signal by the software detection tool according to a preset rule, and sending the USB data reading signal to an instrument; after receiving the USB data acquisition signal, the instrument sends the acquired instrument version number to an upper computer, and displays the acquired instrument version number in a human-computer interaction interface; if the man-machine interaction interface can display the version number of the instrument, the USB interface is qualified in detection, and the instrument is normal; otherwise, if the man-machine interaction interface can not display the version number of the instrument, the USB interface is failed to detect, and the instrument is normal.

The test type is as follows: detecting the backlight function of the instrument;

test items: detecting backlight of a display screen; the detection method comprises the following steps: the detection tool is connected with a matched vehicle machine product, the test steps are carried out, the instrument and the KL15 power supply of the vehicle machine are kept connected, the backlight brightness of the page adjusting instrument is quickly set at the vehicle machine end to change from 1 level to 10 levels, and whether the backlight brightness of the instrument display screen is obviously improved or not is observed; a detection tool: a vehicle machine product; and (3) detection results: if the backlight brightness of the display screen is obviously improved along with the improvement of the backlight degree grade, the backlight detection of the display screen is qualified and the instrument is normal; on the contrary, if the backlight brightness of the display screen is kept unchanged, the backlight detection of the display screen fails, and the instrument is abnormal.

Here, compared with the USB interface detection, the USB interface detection cannot directly generate a USB interface detection signal during the USB interface detection, and cannot directly detect whether the USB interface module is normal; but generates a USB data reading signal, and indirectly detects whether the USB interface module is normal or not through the read data.

When the display screen backlight module is detected, a signal acting on the display screen backlight module can be directly generated, so that the display screen backlight module is changed, and whether the display screen backlight module is normal or not is directly detected.

The test type is as follows: detecting a display screen;

a test item; detecting dark spots of a white screen;

the detection method comprises the following steps: by clicking a white screen detection item of a detection tool software panel, observing whether the screen is completely white and has no dark spot; a detection tool: a software detection tool; and (3) detection results: if the screen is all white, the number of dark points < =3 and the number of dark points < =3 generated by all screen detection items is less than, the detection is qualified, and the instrument is normal; if all the conditions cannot be met, the screen detection fails and the instrument is abnormal.

A test item; detecting dark points on a black screen;

the detection method comprises the following steps: by clicking a black screen detection item of a detection tool software panel, observing whether the screen is completely black and has no dark spot; a detection tool: a software detection tool; and (3) detection results: if the screen is completely black, dark points < =3, and the dark points < =3 generated by all screen detection items, the detection is passed, and the instrument is normal; if all the conditions cannot be met, the screen detection fails and the instrument is abnormal.

A test item; detecting dark points of a red screen;

the detection method comprises the following steps: clicking a red screen detection item of a detection tool software panel to observe whether the screen is completely red and has no dark spots; a detection tool: a software detection tool; and (3) detection results: if the screen is full red, dark points < =3 and the dark points < =3 generated by all screen detection items, the detection is passed and the instrument is normal; if all the conditions can not be met, the screen detection fails and the instrument is abnormal.

A test item; detecting dark spots on a green screen;

the detection method comprises the following steps: by clicking a green screen detection item of a detection tool software panel, observing whether the screen is completely green and has no dark spot; a detection tool: a software detection tool; and (3) detection results: if the screen is completely green, the number of dark points is < =3, and the number of dark points generated by all screen detection items is < =3, the detection is qualified and the instrument is normal; if all the conditions can not be met, the screen detection fails and the instrument is abnormal.

A test item; detecting dark spots of a blue screen;

the detection method comprises the following steps: clicking a blue screen detection item of a detection tool software panel to observe whether the screen is totally blue and has no dark spot; a detection tool: a software detection tool; and (3) detection results: if the screen is full blue, dark points < =3, and the dark points produced by all screen detection items < =3, the detection is passed, and the instrument is normal; if all the conditions can not be met, the screen detection fails and the instrument is abnormal.

It should be noted that: the threshold value of the number of dark spots in the screen detection of the display screen can be adjusted. For example, if < =5 pieces are set, the pass is detected.

The test type is as follows: detecting an indicator;

test items: a speedometer;

the detection method comprises the following steps: clicking a virtual operation panel speedometer detection button of a software detection tool, simulating an input speedometer signal for 100km/h, generating a simulated speedometer signal and sending the simulated speedometer signal to an instrument, controlling the speedometer by the instrument according to the simulated speedometer signal to display a simulated speedometer, and detecting whether the speedometer function of the instrument is qualified or not; a detection tool: a software detection tool; and (3) detection results: if the simulated vehicle speed displayed by the instrument speedometer meets a preset vehicle speed threshold value, for example, the simulated vehicle speed is less than 105km/h and more than 100km/h, the detection is qualified and the instrument is normal; otherwise, the detection fails and the instrument is abnormal.

Test items: a tachometer;

the detection method comprises the following steps: clicking a virtual operation panel tachometer detection button of a software detection tool, simulating an input speed signal of 100rpm, generating a simulated speed signal and sending the simulated speed signal to an instrument, controlling the tachometer by the instrument according to the simulated speed signal to display the simulated speed, and detecting whether the function of the tachometer of the instrument is qualified or not; a detection tool: a software detection tool; and (3) detection results: if the simulated vehicle speed displayed by the instrument speedometer is 1.0x1000rpm, the detection is passed, and the instrument is normal; on the other hand, if the simulated vehicle speed indicated by the meter speedometer is not 1.0x1000rpm, the detection fails, and the meter is abnormal.

Test items: a water temperature meter;

the detection method comprises the following steps: clicking a water temperature meter detection button of a virtual operation panel of a software detection tool, simulating an input water temperature signal to 90 ℃, generating a simulated water temperature signal and sending the simulated water temperature signal to an instrument, controlling the water temperature meter by the instrument according to the simulated vehicle speed signal to display the simulated water temperature, and detecting whether the function of the water temperature meter of the instrument is qualified or not; a detection tool: a software detection tool; and (3) detection results: if the water temperature meter of the meter displays 4 sections (half range of the water temperature meter), the detection is qualified; the instrument is normal; otherwise, if the water temperature meter shows non-4 sections, the detection fails and the meter is abnormal.

The test type is as follows: detecting an alarm indicator light; the alarm indicator lamp is an LED part;

test items: alarm indicator detects, alarm indicator includes: a left steering indicator light, a right steering indicator light, an engine fault MIL indicator light, an engine oil pressure indicator light, a generator charge-discharge indicator light, a water temperature high indicator light, a fuel oil low indicator light, a main driving safety belt indicator light, an air bag indicator light, an EPB indicator light and an EBD fault light;

the detection method comprises the following steps: the method comprises the steps that an alarm indicator lamp detection button in a virtual operation panel of a software detection tool is clicked, the lighting triggering conditions of all alarm indicator lamps are simulated in sequence, alarm indicator lamp lighting signals are generated, and the generated alarm indicator lamp lighting signals are sent to an automobile instrument, so that the automobile instrument controls each alarm indicator lamp to be turned on in sequence according to the alarm indicator lamp lighting signals, and whether the alarm indicator lamps are turned on or not is observed; a detection tool: a software detection tool; and (3) detection results: after an alarm indicator lamp detection button in a virtual operation panel of the software detection tool is clicked, if alarm indicator lamps are sequentially lightened for 2s according to the left side sequence, all the alarm indicator lamps pass through the detection qualification, and the instrument is normal; if any alarm indicator lamp is not lighted, the detection of the alarm indicator lamp fails, and the instrument is abnormal.

The test type is as follows: detecting the written information:

test items: writing the ECU serial number for detection;

the detection method comprises the following steps: the ECU serial number indicates the ECU production sequence, can be used for tracing production batches, and generally consists of production date and sequence number; clicking an ECU serial number item written in an information area in a virtual operation panel of a software detection tool, inputting a production date and a production serial number, and sending the input ECU serial number to an instrument; the instrument receives and writes the received ECU serial number; the software detection tool reads and displays the ECU serial number fed back by the instrument again, and judges whether the read ECU serial number corresponding to the written information is consistent with the written information or not; a detection tool: a software detection tool; and (3) detection results: if the ECU serial number read by the software detection tool is consistent with the written ECU serial number and is marked in green, the ECU serial number is successfully written, the instrument is normal, and if the ECU serial number which cannot be read by the software detection tool or is not consistent with the written ECU serial number and is marked in red, the ECU serial number is failed to be written, and the instrument is abnormal.

Test items: detecting a written software part number;

the detection method comprises the following steps: the software part number is solidified by the instrument product software program (the writing is already finished); clicking a written software part number item of a written information special area in a virtual operation panel of the software detection tool, reading and displaying a software part number fed back by the instrument, and judging whether the read software part number is consistent with a defined software part number or not; a detection tool: a software detection tool; and (3) detection results: if the software part number read by the software detection tool is consistent with the definition software part number and is marked in green, the software part number is successfully written, the instrument is normal, and if the software part number which cannot be read by the software detection tool or is not consistent with the definition software part number and is marked in red, the software part number is failed to be written, and the instrument is abnormal.

Test items: writing a part assembly number;

the detection method comprises the following steps: clicking a part assembly number item written in an information special area in a virtual operation panel of the software detection tool, inputting the part assembly number, and sending the input part assembly number to the instrument; the instrument receives and writes the received part assembly number; the software detection tool reads and displays the part assembly number fed back by the instrument again, and judges whether the read part assembly number is consistent with the written information or not; a detection tool: a software detection tool; and (3) detection results: if the part assembly number read by the software detection tool is consistent with the written part assembly number and is marked in green, the part assembly number is successfully written, the instrument is normal, and if the part assembly number which cannot be read by the software detection tool or cannot be read is inconsistent with the written part assembly number and is marked in red, the part assembly number is failed to be written, and the instrument is abnormal.

Test items: writing a supplier code;

the detection method comprises the following steps: clicking a supplier code item written in an information area in a virtual operation panel of the software detection tool, inputting a supplier code, and sending the input supplier code to the instrument; the meter receives and writes the received supplier code; the software detection tool reads and displays the supplier code fed back by the instrument again, and judges whether the read supplier code is consistent with the written information; a detection tool: a software detection tool; and (3) detection results: if the software detection tool reads the supplier code which is consistent with the written supplier code and is marked in green, the written supplier code is successful, the meter is normal, if the software detection tool can not read or the written supplier code is inconsistent with the written supplier code and is marked in red, the written supplier code is failed, and the meter is abnormal.

The test type is as follows: detecting the information of the reading instrument;

test items: reading ECU hardware version detection, reading ECU software version detection, reading CAN signal matrix version detection, reading function specification version detection, reading diagnosis questionnaire version detection, reading ECU serial number detection, reading software part number detection, reading part assembly number detection, reading supplier code detection, reading EEPROM version detection.

The detection method comprises the following steps: clicking a reading information special area item in a virtual operation panel of the software detection tool to generate a reading instruction for reading each test item, sending the reading instruction to an instrument, feeding target information of the corresponding test item back to an upper computer by the instrument according to the reading instruction in sequence, and displaying the target information in a display special area in the virtual operation panel of the software detection tool; sequentially judging whether the target information of each test item in a display area of the software detection tool is consistent with the written value or the defined value; a detection tool: a software detection tool; and (3) detection results: and if the target information of any test item is inconsistent with the written value or the defined value and is marked in red, the information reading fails and the instrument is abnormal.

It should be noted that, during the detection of the written information, the written ECU serial number detection, the written software part number detection, the written part assembly number detection, the written supplier code detection, and the written information also need to be read, so as to determine whether the written information is successful, therefore, the read ECU serial number detection, the read software part number detection, the read part assembly number detection, and the read supplier code detection in the detection of the read meter information can be used as a part of the written ECU serial number detection, the written software part number detection, the written part assembly number detection, and the written supplier code detection, and when the written information detection is performed, the detection results of the read ECU serial number detection, the read software part number detection, the read part assembly number detection, and the read supplier code detection in the detection of the read meter information can be obtained; or, when detecting the read ECU serial number, the read software part number, the read part assembly number and the read supplier code in the detection of the read meter information, the detection results of the write ECU serial number, the write software part number, the write part assembly number and the write supplier code are obtained.

The test type is as follows: other test items:

test items: detecting instrument quiescent current;

the detection method comprises the following steps: quiescent current requirements are a performance requirement; the end of a KL30 power supply Pin1 is connected with an ammeter, so that the ammeter is quickly dormant (KL 15 electricity (Pin 2) is disconnected, a CAN network is disconnected, and the ammeter is dormant after 5 s), and then the current value displayed by the ammeter is observed; a detection tool: an ammeter; and (3) detection results: if the multimeter detects that the static current of the instrument is smaller than a preset static current threshold (not including the anti-theft indicator lamp), the static current detection is passed, and the instrument is normal; if the multimeter detects that the static current of the instrument is larger than or equal to a preset static current threshold value (not including the anti-theft indicator lamp), the static current detection fails, and the instrument is abnormal; in the embodiment of the present application, the preset quiescent current threshold is 1mA.

Test items: detecting mileage by zero clearing;

the detection method comprises the following steps: the mileage zero clearing can meet the requirement that the total mileage of the instrument products required by customers when leaving factories is zero kilometers. Clicking a total mileage zero clearing button in a virtual operation panel of the software detection tool to generate a total mileage zero clearing instruction, clearing the total mileage instruction to send to the automobile instrument, reading the total mileage of the instrument again, displaying the read total mileage in a display area, and observing whether the read total mileage is zero kilometer or not; a detection tool: a software detection tool; and (3) detection results: if the total mileage read again by the software detection tool is zero kilometer and is marked in a green way, the total mileage is cleared successfully, and the instrument is normal; otherwise, if the total mileage read again by the software detection tool is not zero kilometers and is marked in red, the zero clearing of the total mileage fails and the instrument is abnormal.

Test items: DTC clearance detection;

the detection method comprises the following steps: the DTC zero clearing can meet the requirement that all fault codes stored due to non-expectation are cleared when the instrument products are required by customers to leave the factory. Clicking a DTC zero clearing button in a virtual operation panel of the software detection tool to generate a DTC zero clearing instruction, sending the DTC zero clearing instruction to the automobile instrument, and generating feedback information after the automobile instrument executes the DTC zero clearing instruction and feeding the feedback information back to the software detection tool; the detection tool software can display identification information according to the feedback information of the DTC zero clearing instruction; and (3) detection results: if the feedback information is a green mark, the DTC is successfully cleared, and the instrument is normal; if the feedback result is red mark, the clearing DTC fails and the instrument is abnormal.

In an embodiment of the present application, a system for detecting an automobile instrument offline is further provided, please refer to fig. 5, where fig. 5 illustrates a schematic structural diagram of the system for detecting an automobile instrument 502 offline in the embodiment of the present application; specifically, the system 500 includes: host computer 501, at least one check out test set 503, host computer 501 with check out test set 503 connects motormeter 502 respectively, dispose the software detection instrument in host computer 501, system 500 carries out the embodiment of this application when moving the step of motormeter 502 off-line detection method.

The utility model provides an motormeter detecting system that rolls off production line, through configuration software detection instrument on the host computer for some test items can be accomplished through software detection instrument only, some test items are accomplished through the cooperation of software detection instrument and check out test set, some test items are accomplished through check out test set only, and simultaneously, through the method of indirect test, as far as possible more adopt software detection instrument to accomplish the test item, thereby reduce check out test set and the instrument that the testing process drops into, each item of waiting of rapid detection motormeter, and the production efficiency is improved, and the delivery requirement of product is satisfied.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above may refer to the corresponding process in the method embodiment, and is not described in detail in this application. In the several embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some communication interfaces, indirect coupling or communication connection between devices or modules, and may be in an electrical, mechanical or other form.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a platform server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk or an optical disk, and various media capable of storing program codes.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present application, and shall cover the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. An automobile meter offline detection method is characterized by comprising the following steps:

determining test items required to be subjected to offline detection by the automobile instrument, and determining a detection method of each test item; wherein, the detection contents of different test items are different, and the detection methods of different test items are different;

2. The meter offline detection method according to claim 1,

the detection method directly aims at the detection content to directly judge the abnormality of the test item according to the detection result;

3. The offline testing method of claim 1, wherein when the testing tool of the test item is a software testing tool, the obtaining of the testing result of the test item through the testing method and the testing tool of the test item specifically comprises:

4. The method of claim 3, wherein determining the test result of the test item according to the first processing result comprises:

alternatively, the first and second electrodes may be,

the automobile instrument feeds the first processing result back to a software detection tool;

5. The method for detecting the offline of the automobile instrument according to claim 4, wherein the automobile instrument displays the first processing result to determine the detection result of the test item according to the displayed first processing result, and the method is applied to at least one of the following test items:

6. The meter offline detection method according to claim 1,

when the detection tool of the test item is a software detection tool and a detection device, the obtaining of the detection result of the test item by the detection method and the detection tool of the test item specifically includes:

7. The meter offline detection method according to claim 1,

the test items of the detection tool, which are the software detection tool and the detection equipment, at least comprise one of the following items: detecting a KL30 power supply; detecting a left blind area indicator lamp circuit; detecting a right blind area indicator lamp circuit; detecting a USB interface; detecting backlight of a display screen; the method comprises the steps of detecting fuel input resistance, AD acquisition precision and fuel items displayed by a fuel meter.

8. The meter offline detection method according to claim 1,

when the detection tool of the test item is the detection device, the obtaining of the detection result of the test item through the detection method and the detection tool of the test item specifically includes:

9. The motormeter offline detection method according to claim 7, wherein updating the status of the motormeter based on the detection device comprises:

10. An automobile meter drop detection system, the system comprising: the system comprises an upper computer and at least one detection device, wherein the upper computer and the detection device are respectively connected with an automobile instrument, a software detection tool is configured in the upper computer, and the steps of the automobile instrument off-line detection method according to any one of claims 1-9 are executed when the system runs.