JP2014084037A - Vehicle diagnosis device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a vehicle diagnosis device capable of diagnosing a vehicle with high accuracy by using vehicle signals collected from vehicles, even in the case that the vehicle diagnosis is carried out by using vehicle signals with unspecified reference values.SOLUTION: A vehicle diagnosis device for diagnosing a vehicle by using vehicle signals, inputs preset criteria to the vehicle, collects vehicle signals corresponding to the criteria and vehicle information (for example, engine model information, vehicle type information, installation information, total travel distance information) from the vehicle, and accumulates the collected vehicle signal data corresponding to the criteria in a database, in association with the vehicle information. In diagnosing a diagnostic object vehicle, the vehicle diagnosis device extracts accumulated data of vehicle signals that correspond to the criteria and that are associated with information on the same vehicle as the diagnostic object vehicle or information on a similar vehicle, from the database, in order to compare the extracted accumulated data of the vehicle signals corresponding to the criteria with vehicle signal data that corresponds to the same criteria and is collected from the diagnostic object vehicle.

Description

  The present invention relates to a vehicle diagnostic apparatus that diagnoses a vehicle using a vehicle signal.

  2. Description of the Related Art Conventionally, a maintenance operator observes various vehicle signals and determines whether or not a vehicle is normal by a data monitoring function (a function for displaying vehicle signals collected from a vehicle) of a vehicle diagnostic apparatus. In addition, it is known to perform vehicle diagnosis using a vehicle signal (vehicle data) of another vehicle. In Patent Document 1, vehicle data before failure occurrence is received from a failed vehicle via a network and stored in advance, vehicle data is received from the failure prediction target vehicle via the network, and the failure prediction target vehicle It is described that whether or not a failure occurs in a failure prediction target vehicle is calculated by performing a correlation operation on the accumulated vehicle data of a vehicle of the same type as the vehicle data.

JP 2004-268633 A

  When judging from the vehicle signal, it is easy to judge if there is a reference value for the vehicle signal, but the reference value may not be clearly indicated. When there is no reference value, it is difficult for a maintenance worker (particularly a maintenance worker who is not skilled and has little experience) to determine whether the vehicle is normal from the vehicle signal. The reason why the reference value is not clearly specified for the vehicle signal is that the vehicle is a mechatronics product, so the input value (for example, the instruction value by ECU [Electronic Control Unit]) and the output value (for example, sensor after mechanism operation) Value) transfer function cannot be calculated on the desk (mostly, it is difficult to actually measure all vehicle signals), but each vehicle manufacturer does not disclose it to protect its technology. , Etc. can be considered. In Patent Document 1, failure prediction is performed using vehicle data collected from a failed vehicle, but since this vehicle data is vehicle data under various conditions before failure in each vehicle, it is accurate to use as a reference value. Is insufficient.

  Therefore, the present invention provides a vehicle diagnosis apparatus that enables highly accurate vehicle diagnosis using vehicle signals collected from each vehicle even when vehicle diagnosis is performed using vehicle signals for which a reference value is not clearly specified. Let it be an issue.

  A vehicle diagnostic apparatus according to the present invention is a vehicle diagnostic apparatus that diagnoses a vehicle using a vehicle signal, and inputs a predetermined condition set in advance to the vehicle, and the vehicle responds to the predetermined condition from the vehicle. When diagnosing a vehicle to be diagnosed, a collecting unit that collects a signal and vehicle information of the vehicle, a storage unit that associates and accumulates vehicle signal data according to a predetermined condition collected by the collecting unit, and vehicle information, Extraction means for extracting accumulated data of vehicle signals according to a predetermined condition associated with the same vehicle information as the diagnosis target vehicle or similar vehicle information from the storage means, and according to the predetermined condition extracted by the extraction means Comparing means for comparing the accumulated data of the vehicle signal with the data of the vehicle signal according to a predetermined condition in the diagnosis target vehicle collected by the collecting means is provided.

  When collecting a vehicle signal from an arbitrary vehicle, the vehicle diagnostic apparatus collects and accumulates a vehicle signal corresponding to the predetermined condition and vehicle information of the vehicle from the vehicle by inputting a predetermined condition to the vehicle by the collecting means. The vehicle signal data corresponding to the collected predetermined condition is stored in the means in association with the vehicle information. The predetermined condition is a preset condition. Vehicle signals are collected from various vehicles under the same conditions, and vehicle signal data under the same conditions are stored in the storage means. The vehicle signal data stored in the storage means is linked to the vehicle information and can be extracted for each vehicle information. When diagnosing a certain vehicle to be diagnosed, the vehicle diagnostic device inputs a predetermined condition to the diagnostic target vehicle by the collecting means, and obtains a vehicle signal corresponding to the predetermined condition from the diagnostic target vehicle and vehicle information of the diagnostic target vehicle. collect. In the vehicle diagnostic apparatus, the extraction means extracts the accumulation data of the vehicle signal corresponding to the predetermined condition associated with the same vehicle information as the diagnosis target vehicle or similar vehicle information from the accumulation means. Further, in the vehicle diagnostic device, the comparison target vehicle compares the accumulated data of the vehicle signal corresponding to the predetermined condition with the data of the vehicle signal corresponding to the same predetermined condition in the diagnosis target vehicle. Diagnose whether the vehicle signal is normal. Since the accumulated data is a vehicle signal collected from a large number of vehicle signals under the same predetermined conditions, it is highly reliable as a reference value (including a reference range) to be compared, and the quality of the vehicle signal can be easily and accurately determined. By judging the quality of various vehicle signals, it is possible to identify an abnormal location of the vehicle (for example, a location with a high possibility of failure or a location with deterioration). As a result, it is possible to speed up the inspection work and the repair work. As described above, the vehicle diagnosis apparatus collects vehicle signals corresponding to predetermined conditions from each vehicle, stores the collected vehicle signal data in association with vehicle information, and is the same or different when performing vehicle diagnosis. By enabling comparison with accumulated data of vehicle signals corresponding to the same conditions of similar vehicle information, a vehicle diagnosis with high accuracy can be performed even when a vehicle diagnosis is performed using a vehicle signal whose reference value is not specified.

  In the vehicle diagnostic apparatus of the present invention, the vehicle information is at least one of engine model information, vehicle type information, bodywork information, and total travel distance information. The vehicle diagnostic device accumulates vehicle signal data according to a predetermined condition in association with engine model information, vehicle type information, bodywork information, and total mileage information, so that the engine model information, vehicle type information, The vehicle signal data can be compared according to the equipment information and the total mileage information, and more accurate vehicle diagnosis can be performed.

  In the vehicle diagnostic apparatus according to the present invention, the comparing means includes the accumulated data of the vehicle signal corresponding to the predetermined condition extracted by the extracting means, and the vehicle signal corresponding to the predetermined condition in the diagnosis target vehicle collected by the collecting means. It is good also as a structure which displays data. As described above, the vehicle diagnostic apparatus can display and compare the accumulated data of the vehicle signal according to the predetermined condition and the data of the vehicle signal according to the predetermined condition of the diagnosis target vehicle. The quality of the vehicle signal of the vehicle to be diagnosed can be easily determined using the stored data displayed by the maintenance worker as a reference value. In particular, since the accumulated data of the vehicle signal according to a predetermined condition becomes a clear reference value, even an unskilled and inexperienced maintenance worker can easily determine.

  In the vehicle diagnostic apparatus of the present invention, the comparison means generates a diagnostic reference based on the accumulated data of the vehicle signal corresponding to the predetermined condition extracted by the extraction means, and the diagnosis target vehicle collected by the diagnostic reference and the collection means It is good also as a structure which determines whether it is normal by comparing with the data of the vehicle signal according to the predetermined conditions in. Thus, in the vehicle diagnostic apparatus, a diagnostic reference is generated from the accumulated data of the vehicle signal corresponding to the predetermined condition, and the diagnostic reference is compared with the data of the vehicle signal corresponding to the predetermined condition in the diagnosis target vehicle. As a result, it is possible to easily and accurately determine whether or not the vehicle signal of the diagnosis target vehicle is good on the apparatus side.

  According to the present invention, a vehicle signal corresponding to a predetermined condition is collected from each vehicle, the collected vehicle signal data is stored in association with vehicle information, and the same or similar vehicle when performing vehicle diagnosis By enabling comparison with the accumulated data of the vehicle signals corresponding to the same information conditions, even when the vehicle diagnosis is performed using the vehicle signal for which the reference value is not specified, the vehicle diagnosis can be performed with high accuracy.

1 is a system configuration diagram including a vehicle diagnosis apparatus according to the present embodiment. It is an example of the vehicle signal collected according to the sequence (each condition) and the sequence, (a) is the target engine speed of each condition that is the sequence, and (b) is the turbo rotation corresponding to each condition that is the vehicle signal Is a number. It is an example of the vehicle information and vehicle signal data stored in the database of FIG. It is an example of the scatter diagram of the accumulation | storage data according to the total travel distance displayed with the vehicle diagnostic apparatus of FIG. 1, (a) is a scatter diagram of all the total travel distance, (b) is a total travel distance of 50,000. It is a scatter diagram of km or less. FIG. 1 is an example of a comparison of a scatter diagram of accumulated data for each mileage displayed by the vehicle diagnostic apparatus of FIG. 1 and vehicle signal data of a diagnosis target vehicle, where (a) is a case where vehicle signal data is normal; (B) is a case where vehicle signal data is abnormal. It is an example of the comparison with the scatter diagram of the accumulation data according to engine type displayed with the vehicle diagnostic apparatus of FIG. 1, and the vehicle signal data of a diagnostic object vehicle. It is an example of the comparison of the scatter diagram of the accumulation | storage data according to vehicle type displayed with the vehicle diagnostic apparatus of FIG. 1, and the vehicle signal data of a diagnostic object vehicle. It is an example of the comparison with the scatter diagram of the accumulation | storage data (abnormality data) according to vehicle type displayed with the vehicle diagnostic apparatus of FIG. 1, and the vehicle signal data of a diagnostic object vehicle. It is a flowchart which shows the flow of operation | movement of the vehicle signal collection accumulation | storage which concerns on this Embodiment. It is a flowchart which shows the flow of operation | movement of the vehicle signal collection accumulation | storage process (in the case of abnormal data) which concerns on this Embodiment. It is a flowchart which shows the flow of operation | movement of the vehicle signal comparison which concerns on this Embodiment.

  Hereinafter, an embodiment of a vehicle diagnostic apparatus according to the present invention will be described with reference to the drawings. In addition, the same code | symbol is attached | subjected about the element which is the same or it corresponds in each figure, and the overlapping description is abbreviate | omitted.

  In the present embodiment, the vehicle diagnostic apparatus according to the present invention is applied to a vehicle diagnostic apparatus that performs diagnosis for commercial vehicles such as trucks and buses. The vehicle diagnostic apparatus according to the present embodiment is provided in a dealer, repair shop, maintenance shop, etc., and is connected when the vehicle is brought into these places. Each vehicle is brought to these locations when there is an abnormality in the vehicle, when repairs are required, or when periodic inspections are performed. In order to store data, the vehicle diagnosis apparatus according to the present embodiment connects to a server via a network and uses a database of the server.

  The vehicle diagnostic apparatus 1 and the server 3 (database 4) will be described with reference to FIGS. FIG. 1 is a system configuration diagram including a vehicle diagnostic apparatus according to the present embodiment. FIG. 2 is an example of a sequence (each condition) and a vehicle signal collected according to the sequence. FIG. 3 is an example of vehicle information and vehicle signal data stored in the database. 4 to 8 are examples of display in the vehicle diagnostic apparatus.

  First, the vehicle diagnostic apparatus 1 will be described. The vehicle diagnostic device 1 is a device configured by a computer including a CPU [Central Processing Unit], a ROM [Read Only Memory], a RAM [Random Access Memory], and the like, and has a vehicle signal collection and accumulation function and a vehicle signal comparison function. ing. The vehicle diagnostic apparatus 1 includes a display, and displays diagnostic information on the display. Further, the vehicle diagnostic apparatus 1 includes a vehicle communication device, and transmits and receives signals to and from the vehicle V by this communication device. Each vehicle V also includes a communication device for communicating with the vehicle diagnostic device 1. The vehicle diagnosis apparatus 1 also includes a network communication device, and is connected to the server 3 via the network 2 with this communication device.

  In the present embodiment, the vehicle communication device and the vehicle signal collection / accumulation function of the vehicle diagnostic device 1 correspond to the collecting means described in the claims, and the vehicle signal comparison function of the vehicle diagnostic device 1 and the network The communication device and the server 3 correspond to the extracting means described in the claims, and the vehicle signal comparison function and the display of the vehicle diagnostic device 1 correspond to the comparing means described in the claims.

  The vehicle signal collection and accumulation function will be described. In the vehicle diagnostic device 1, when the vehicle V is connected, a control signal indicating each condition of the sequence is transmitted to the vehicle V for each sequence. The sequence is set in advance, and there are various sequences such as a sequence related to the engine, a sequence related to the brake, and a sequence related to the steering. Each sequence includes a plurality of predetermined conditions. The control signal may be transmitted sequentially for each condition of the sequence, or may be transmitted in the entire sequence including all conditions. In the vehicle V, when the control signal is received, the corresponding ECU operates the corresponding device of the vehicle V according to each condition of the control signal, and outputs a vehicle signal related to the operation of the device. The vehicle signal can be applied to any signal as long as it is a signal used in the vehicle, for example, a CAN [Controller Area Network] signal.

  FIG. 2A shows an example of a sequence consisting of 10 conditions. This example is a sequence relating to the engine, and is a sequence for changing the target engine speed in the order of condition 1 to condition 10. In the vehicle V, when a control signal indicating each condition is transmitted, the engine ECU performs engine control with the target engine speed of each condition as a target value, and drives the engine. Since there are various vehicle signals (for example, a vehicle signal for turbo speed, a vehicle signal for fuel injection amount, and a vehicle signal for actual engine speed) that are relevant when the engine is driven under these conditions, Collected. The example shown here is an example of a predetermined condition when collecting the vehicle signal, and various other conditions can be applied to the predetermined condition when collecting the vehicle signal.

  In the vehicle diagnostic apparatus 1, each related vehicle signal is received from the vehicle V for each condition of the sequence. At this time, the vehicle diagnosis apparatus 1 displays the received data of each vehicle signal on the display. When all the conditions of the sequence are completed and a vehicle signal corresponding to each condition is received, the vehicle diagnostic apparatus 1 proceeds to the next sequence. FIG. 2B shows an example of the turbo speed as a vehicle signal corresponding to each condition of the target engine speed shown in FIG. 2A, and the vehicle V at the target engine speed of each condition. The turbo rotation speed collected from is shown.

  When all the sequences are completed, the vehicle diagnosis apparatus 1 reads vehicle information from the vehicle V. The vehicle information includes engine model information, vehicle type information, bodywork information, and total travel distance information. Examples of engine model information include E13C <ET-I>, E13C <ET-II>, and E13C <ET-III>, which are classified according to displacement, output performance (horsepower), and environmental performance (exhaust gas level). The The vehicle type information includes, for example, FR (front 1 rear 2 rear shafts, front side of 2 rear shafts are driving wheels), FN (front 2 rear 1 rear shafts, rear 1 shaft is driving wheels), FS ( There are front 1 rear and 2 rear axes, both rear 2 axes are driving wheels), and FW (front 2 rear 2 axes, rear 2 axes are both driving wheels). The bodywork information includes, for example, cargo, dump, tank truck, mixer, and refrigeration van. The total travel distance information is classified into, for example, 50,000 km or less, 50,000 km to 300,000 km, and more than 300,000 km.

  The vehicle diagnostic apparatus 1 transmits vehicle signal data and vehicle information corresponding to each condition for each sequence to the server 3 via the network 2. The transmitted vehicle signal data and vehicle information are stored (accumulated) in the database 4 of the server 3.

  Note that the vehicle V includes an OBD [On Board Diagnosis] device and has a function of detecting, holding, and outputting a fault code. The failure codes include various failure codes such as an engine failure code, a brake failure code, and a steering failure code. When there is a device indicated as a failure by the failure code, the vehicle signal data related to the device is data when the device is broken, and thus can be regarded as an abnormal value. In view of this, in the vehicle diagnostic apparatus 1, when a failure code is also read from the vehicle V, if there is a failure occurrence device based on the failure code, the vehicle signal data related to that device is handled as an abnormal value.

  By the way, when the vehicle signal data collected from various vehicles is used as the comparison data, the reliability as the comparison data is high when compared with the vehicle signal data collected from vehicles of the same engine model / vehicle type / bodywork. Become. Even if there is no data of the same engine model / vehicle type / bodywork, vehicles of similar engine model / vehicle type / bodywork (for example, only the same engine model, the same vehicle type only, the bodywork only) Compared to vehicle signal data collected from the same vehicle, vehicle with similar engine model, vehicle with similar vehicle type, vehicle with close bodywork, vehicle with similar vehicle model and vehicle type), it is highly reliable as comparison data. Become. As for the total travel distance, the smaller the total travel distance, the closer to the state of the new vehicle, so it can be assumed that the accuracy is normal as data, so vehicles collected from vehicles with a total travel distance of 50,000 km or less Compared with signal data, the reliability as comparison data is increased. Or even if it compares with the vehicle signal data collected from the vehicle of the same total mileage, the reliability as comparison data becomes high. Further, the more the comparison data is the accumulated data obtained by collecting a large number of vehicles, the higher the reliability. Further, since the vehicle signal data collected under the same conditions is used as comparison data, the reliability is high.

  The vehicle signal comparison function will be described. In the vehicle diagnostic apparatus 1, vehicle information is read out from the vehicle V when the vehicle V (in particular, a vehicle having an abnormality or the like and a diagnosis is desired) is connected.

  In the vehicle diagnostic apparatus 1, for each sequence, a vehicle having the same or similar engine model information / vehicle type information / body information (same priority given to the same thing) as the read engine type information / vehicle type information / body information. The server 3 is inquired through the network 2 whether the vehicle signal data collected from is stored in the database 4. When there is no such accumulated data in the database 4, the vehicle diagnostic apparatus 1 displays “no accumulated data” on the display. In this case, comparative diagnosis is not possible. In addition, even if there is no same and similar accumulated data for engine model information / vehicle type information / body information, comparative diagnosis may be performed using other engine model information / vehicle type information / body information accumulated data. . For example, comparative diagnosis can be performed using accumulated data having the same total travel distance or accumulated data having a small total travel distance.

  When there is accumulated data in the database 4, the vehicle diagnostic apparatus 1 receives the accumulated data of the vehicle signal of the same or similar engine model information / vehicle type information / body information from the server 3 via the network 2. And in the vehicle diagnostic apparatus 1, the accumulation | storage data are displayed on a display as a scatter diagram. In this scatter diagram, for example, accumulated data with the same or similar engine model information / vehicle type information / body information is classified by total mileage zone (below 50,000 km, 50,000 km to 300,000 km, over 300,000 km). Are divided into colors and symbols. Furthermore, a radio button for designating the total mileage zone is displayed so that a scatter diagram of accumulated data of a specific total mileage zone can be displayed. In addition to this, in the scatter diagram, the accumulated data may be displayed by being divided into colors and symbols by engine type, vehicle type, and bodywork. Furthermore, radio buttons for designating the engine type, vehicle type, and bodywork are displayed so that a scatter diagram of the accumulated data of the specific engine model, vehicle type, bodywork can be displayed.

  FIG. 4 shows an example of this, and the accumulated data of the turbo rotational speed corresponding to each condition of the sequence shown in FIG. 2 is a scatter diagram. In FIG. 4A, all of the data display switching radio buttons are selected, and the accumulated data of all the total travel distances are displayed as a scatter diagram. Each data of the turbo rotation speed is displayed as a different symbol for each data of 50,000 km or less, 50,000 km to 300,000 km, and more than 300,000 km as a total traveling distance band. In FIG. 4B, 50,000 km or less is selected by the radio button for data display switching, and only accumulated data having a total travel distance of 50,000 km or less is displayed as a scatter diagram.

  In this scatter diagram, there is a high possibility that the range in which accumulated data is distributed is normal as a vehicle signal. Therefore, if the vehicle signal data is within this distribution range, it can be determined that there is a high possibility of being normal, and if the vehicle signal data deviates from the distribution range (particularly, a large departure), it is determined that there is a high possibility of being abnormal. it can. When it is determined that the vehicle signal is abnormal, a portion related to the vehicle signal is highly likely to be broken or deteriorated, so a detailed inspection is performed on the portion and repaired as necessary.

  As described above, when there is accumulated data that is an abnormal value based on the failure code of the vehicle V, the accumulated data of the abnormal value is also a scatter diagram. In this case, there is a high possibility that the range in which accumulated data that is an abnormal value is distributed is abnormal. Therefore, when the vehicle signal data is within this distribution range, it can be determined that there is a high possibility of abnormality, and when the vehicle signal data deviates from the distribution range, it can be determined that there is a high possibility of being normal.

  The vehicle diagnostic apparatus 1 collects vehicle signals corresponding to each condition of the sequence from the vehicle V for the same sequence displayed in the scatter diagram by the same processing as the vehicle signal collection and accumulation function, and the collected vehicle signal The data is superimposed on the scatter plot and displayed on the display.

  FIG. 5 (a) shows a scatter diagram of FIG. 4 (a) in which data D1 of the turbo rotation speed corresponding to each condition collected from a certain vehicle V for comparison evaluation is superimposed and displayed. In the case of this example, the turbo rotation speed data D1 is almost included in the distribution range of the accumulated data and does not deviate greatly, so that the maintenance worker can instantaneously determine that it is normal. On the other hand, FIG. 5 (b) shows the scatter diagram of FIG. 4 (a) in which the turbo rotation speed data D2 corresponding to each condition collected from other vehicles V for comparison evaluation is superimposed and displayed. ing. In the case of this example, in the turbo rotation speed data D2, since the data E2 around the condition 4 to the condition 5 greatly deviates from the distribution range of the accumulated data, the maintenance operator is likely to be abnormal instantly. Can be determined.

  Further, FIG. 6 shows a scatter diagram of accumulated data by engine model information in which turbo rotation speed data D3 corresponding to each condition collected from a certain vehicle V for comparison evaluation is displayed in an overlapping manner. . In this scatter diagram, since all of the data display switching radio buttons are selected, the accumulated data of all engine models are displayed. In the case of this example, the turbo rotation speed data D3 is almost included in the distribution range of the accumulated data and does not deviate greatly. Therefore, the maintenance worker can instantaneously determine that the data is normal.

  FIG. 7 shows a scatter diagram of accumulated data for each vehicle type information in which turbo rotation speed data D4 corresponding to each condition collected from a certain vehicle V for comparison evaluation is displayed in an overlapping manner. In this scatter diagram, since all of the data display switching radio buttons are selected, the accumulated data of all vehicle types is displayed. In the case of this example, the turbo rotation speed data D4 is almost included in the distribution range of the accumulated data and does not deviate greatly, so that the maintenance worker can instantaneously determine that it is normal.

  Further, FIG. 8 shows a scatter diagram of accumulated data for each vehicle type information in which turbo rotational speed data D5 corresponding to each condition collected from another vehicle V for comparison evaluation is superimposed and displayed. . In this scatter diagram, since FR is selected by the radio button for data display switching, the FR vehicle type accumulated data is displayed. Furthermore, since the abnormal data is also included in the accumulated data, the accumulated data of the abnormal value of the FR vehicle type is also displayed. In this example, the turbo rotation speed data D5 includes the data E5 around the conditions 4 to 5 included in the distribution range of the accumulated data of abnormal values. Can be determined to be high.

  The server 3 (database 4) will be described. The server 3 can be a known server and has at least a function for storing and extracting data transmitted from each vehicle diagnostic apparatus 1. The server 3 includes a database 4 for storing data. The server 3 includes a network communication device, and the communication device is connected to each vehicle diagnosis device 1 via the network 2. The database 4 corresponds to storage means described in the claims.

Each time the server 3 receives vehicle signal data and vehicle information corresponding to each condition for each sequence from the vehicle diagnostic apparatus 1, the vehicle signal data corresponding to each condition is associated with the vehicle information and stored in the database 4. . FIG. 3 shows an example of the storage format of the database 4, which is associated with vehicle information (engine model information, vehicle type information, bodywork information, total travel distance), and vehicle signal data (signal ₁ , Signals ₂ ... Are stored. This storage format is an example, and any other storage format may be used. For example, the vehicle signal data is classified according to the same engine model information, the same vehicle type information, the same bodywork information, and the same total travel distance. Store each one.

  In the server 3, when there is an inquiry from the vehicle diagnosis apparatus 1 whether the vehicle signal data of the same or similar vehicle information (for example, engine model information / vehicle type information / mounting information) is stored in the database 4, First, the database 4 is searched for whether or not there is accumulated data of the same vehicle information using the vehicle information as a key. If there is no accumulated data of the same vehicle information, the database 4 determines whether there is accumulated data of similar vehicle information. Search within. When there is accumulated data of the same or similar vehicle information, the server 3 transmits the accumulated data to the vehicle diagnosis apparatus 1. The transmitted accumulated data is accumulated data of vehicle signals for each condition, and vehicle information is also added. When there is no accumulated data of the same and similar vehicle information, the server 3 notifies the vehicle diagnosis apparatus 1 that there is no accumulated data.

  The flow of the vehicle signal collection and accumulation operation in the vehicle diagnostic apparatus 1 and the server 3 (database 4) having the above-described configuration will be described with reference to the flowcharts of FIGS. 9 and 10, and the flow of the vehicle signal comparison operation will be described with reference to the flowchart of FIG. It explains along. Regarding the operation of collecting and accumulating vehicle signals, a normal operation and an operation when collecting and accumulating data as abnormal values will be described. FIG. 9 is a flowchart showing a flow of operations for collecting and accumulating vehicle signals. FIG. 10 is a flowchart showing an operation flow of vehicle signal collection and accumulation (in the case of abnormal data). FIG. 11 is a flowchart showing a flow of operations for vehicle signal comparison.

  When the vehicle V is connected to the vehicle diagnostic apparatus 1, the vehicle diagnostic apparatus 1 starts each sequence for each sequence (S10), and initializes a condition counter n to 0 (S11).

  The vehicle diagnostic apparatus 1 transmits a control signal for the condition n of the sequence to the vehicle V (S12). When the vehicle V receives the control signal, the vehicle V operates in accordance with the condition n, and transmits a vehicle signal in accordance with the condition n to the vehicle diagnostic apparatus 1. The vehicle diagnostic apparatus 1 receives (collects) this vehicle signal (S13). Then, the vehicle diagnostic apparatus 1 displays the vehicle signal data on the display (S14). Here, since this is a data collection stage, this display need not be performed. Further, in the vehicle diagnostic apparatus 1, the counter n is incremented (n = n + 1) (S15). Then, the vehicle diagnosis apparatus 1 determines from the numerical value of the counter n whether or not the last condition of the sequence has ended, and determines whether or not this sequence has ended (S16). If it is determined in S16 that the sequence has not ended, the vehicle diagnostic apparatus 1 returns to the process of S12.

  When it is determined in S16 that the sequence has been completed (at the time when all the sequences have been completed or every time one sequence is completed), the vehicle diagnosis apparatus 1 uses the vehicle information from the vehicle V (engine model information, Vehicle type information, bodywork information, total travel distance information, etc.) are read (S17). Then, the vehicle diagnostic apparatus 1 transmits vehicle signal data and vehicle information corresponding to each condition of the sequence to the server 3 (S18). When the server 3 receives the vehicle signal data and vehicle information corresponding to each condition, the server 3 stores and accumulates the vehicle signal data corresponding to each condition in the database 4 in association with the vehicle information (S19).

  In particular, when data as an abnormal value is also collected and accumulated, when the vehicle V is connected to the vehicle diagnostic apparatus 1, the vehicle diagnostic apparatus 1 reads a failure code from the vehicle V (S20). The vehicle diagnosis apparatus 1 determines whether or not there is failure information with a failure code related to the current sequence (S21). When it is determined in S21 that there is no failure information in the failure code, the vehicle diagnostic apparatus 1 sets a flag DTC = 0 (S22). When it is determined in S21 that there is failure information with the failure code, the vehicle diagnostic apparatus 1 sets the flag DTC = 1 (S23). And in the vehicle diagnostic apparatus 1, the vehicle signal according to each condition of a sequence is collected from the vehicle V by the same process as said S10-S16 (S24-S30).

  When it is determined in S30 that the sequence has been completed, the vehicle diagnosis apparatus 1 reads vehicle information from the vehicle V (S31). Then, the vehicle diagnosis apparatus 1 determines whether or not the flag DTC is 1 (S32). When the flag DTC is determined to be 0 in S32, the vehicle diagnostic apparatus 1 handles the collected vehicle signal data corresponding to each condition as a normal value (S33). When the flag DTC is determined to be 1 in S32, the vehicle diagnosis apparatus 1 handles the collected vehicle signal data according to each condition as an abnormal value (S34). Then, the vehicle diagnostic apparatus 1 transmits vehicle signal data (abnormal value or normal value) and vehicle information corresponding to each condition of the sequence to the server 3 (S35). When the server 3 receives the vehicle signal data (abnormal value / normal value) and the vehicle information corresponding to each condition, the server 3 associates the vehicle signal data (abnormal value / normal value identification) with the vehicle information. The information is also added) and stored in the database 4 (S36).

  When the vehicle V to be diagnosed is connected, the vehicle diagnostic apparatus 1 reads vehicle information from the vehicle V (S40). Then, the vehicle diagnosis apparatus 1 inquires of the server 3 whether or not vehicle signal data collected from a vehicle that is the same as or similar to the vehicle information (here, for example, vehicle type information) is accumulated (S41). . In response to this inquiry, the server 3 searches the database 4 using the inquiry vehicle type information as a key, and first searches whether there is accumulated data of the same vehicle type information (S42), and accumulates the same vehicle type information. If there is no data, it is searched whether there is accumulated data of similar vehicle type information (S43). If there is accumulated data of the same vehicle type information in S42, the server 3 extracts the accumulated data of the same vehicle type information from the database 4, and transmits this accumulated data to the vehicle diagnostic apparatus 1. The vehicle diagnosis apparatus 1 receives this accumulated data (S44). If there is accumulated data of similar vehicle type information in S43, the server 3 extracts the accumulated data of the similar vehicle type information from the database 4, and transmits this accumulated data to the vehicle diagnosis apparatus 1. The vehicle diagnosis apparatus 1 receives this accumulated data (S44). Then, the vehicle diagnosis apparatus 1 draws the received accumulated data as a scatter diagram on the display (S45). When there is no accumulated data of similar vehicle type information in S43, the server 3 notifies the vehicle diagnosis apparatus 1 that “no accumulated data”. Upon receipt of this notification, the vehicle diagnostic apparatus 1 displays “no accumulated data” on the display (S46).

  The vehicle diagnostic apparatus 1 starts a sequence (S47), and initializes a condition counter n to 0 (S48). The vehicle diagnosis apparatus 1 transmits a control signal for the condition n of the sequence to the vehicle V (S49). The vehicle V operates in accordance with the control signal condition n, and transmits a vehicle signal in accordance with the condition n to the vehicle diagnostic apparatus 1. The vehicle diagnostic apparatus 1 receives this vehicle signal (S50). Then, the vehicle diagnosis apparatus 1 displays the vehicle signal data on the display so as to overlap the scatter diagram (S51). Further, in the vehicle diagnostic apparatus 1, the counter n is incremented (n = n + 1) (S52). Then, the vehicle diagnosis apparatus 1 determines whether or not this sequence is finished (S53). If it is determined in S53 that the sequence has not ended, the vehicle diagnostic apparatus 1 returns to the process of S49.

  If it is determined in S53 that the sequence has ended, the vehicle signal data for all conditions in the sequence are displayed superimposed on the scatter diagram. The maintenance worker compares the dispersion range of the accumulated data in the scatter diagram with the vehicle signal data to determine whether the vehicle signal is normal or possibly abnormal. At this time, if necessary, the maintenance worker selects a radio button and changes the accumulated data displayed as a scatter diagram. When there is a vehicle signal having a possibility of abnormality, the maintenance worker mainly checks a portion related to the vehicle signal and repairs it if necessary.

  Here, vehicle signal comparison may be performed for all sequences, or vehicle signal comparison may be performed for only a specific sequence. For example, in the case of periodic inspections, the entire sequence is performed. When the occurrence site of the trouble symptom is clear (for example, the engine vibration is larger than usual), only the sequence related to the engine is performed.

  According to this vehicle diagnostic apparatus 1, each condition is input to each vehicle V according to a sequence, a vehicle signal corresponding to each condition is collected, and data of the collected vehicle signal is associated with vehicle information of the vehicle V. Vehicles in which the reference value is not specified by being stored in the database 4 and being able to be compared with the accumulated data of vehicle signals corresponding to each condition of the same sequence of the same or similar vehicle information when performing vehicle diagnosis Even when diagnosing vehicles using signals, the accumulated data of vehicle signals collected from many vehicles under each condition in the same sequence is highly reliable as a reference range for comparison, so the quality of vehicle signals can be determined easily and accurately. This makes it possible to make a vehicle diagnosis with high accuracy. By judging the quality of various vehicle signals, it is possible to quickly identify an abnormal location (a location with a high possibility of failure or deterioration) of the vehicle, thereby speeding up inspection work and repair work.

  Furthermore, according to the vehicle diagnostic apparatus 1, the vehicle signal data corresponding to each condition of the same sequence in the vehicle to be diagnosed is displayed in a scatter diagram of the accumulated data of the vehicle signal corresponding to each condition included in the sequence. Thus, the maintenance operator can easily and quickly determine whether the vehicle signal of the diagnosis target vehicle is good or not based on a highly reliable distribution range including the accumulated data. In particular, since the distribution range of the accumulated data is a clear reference range, even an unskilled and inexperienced maintenance worker can easily determine.

  Further, according to the vehicle diagnostic apparatus 1, the total travel distance zone can be selected, and the scatter chart of the accumulated data can be displayed by dividing the total travel distance zone, etc., so that a more reliable standard can be obtained from the accumulated data. A range can be obtained. Further, according to the vehicle diagnostic apparatus 1, by accumulating vehicle signal data having a high possibility of an abnormal value based on the failure code of the vehicle V, a more reliable reference range is obtained from the accumulated data of the abnormal value. be able to.

  As mentioned above, although embodiment which concerns on this invention was described, this invention is implemented in various forms, without being limited to the said embodiment.

  For example, in the present embodiment, the present invention is applied to commercial vehicles such as trucks and buses. However, other automobile vehicles such as passenger cars may be targeted, and two-wheeled vehicles may be targeted.

  In this embodiment, engine model information, vehicle type information, bodywork information, and total travel distance information are applied as vehicle information. However, other vehicle information may be applied. For example, it is information such as transmission device type and differential gear ratio. Also, multiple vehicle information can be specified and displayed or compared, such as comparing with the accumulated data of the vehicle with the same engine model information and bodywork information, or comparing with the accumulated data of the vehicle with the same vehicle type information and total mileage information. You may do it.

  In this embodiment, the vehicle signal collection is performed when the vehicle is brought into a dealer, repair shop, maintenance shop, etc., but the vehicle signal collection is performed from the vehicle at the time of factory shipment in the vehicle manufacturing factory. Also good. Thus, vehicle signal data can be collected from all vehicles by collecting vehicle signals at the time of factory shipment. Since the collected vehicle signal data is for a new vehicle, it is data with high accuracy as a normal value.

  In the present embodiment, the vehicle signal data is stored using the server database connected to the server via the network. However, other configurations may be used for storing the vehicle signal data. .

  In this embodiment, the accumulated data is used as a scatter diagram, and the vehicle signal data of the vehicle to be diagnosed is superimposed on the scatter diagram and displayed on the display, so that the maintenance worker can easily perform the operation based on the distribution range of the accumulated data in the scatter diagram. In the vehicle diagnostic device, the distribution status of accumulated data is calculated as a standard deviation value, a variance value, etc., a diagnostic criterion based on the value is set, and the device is based on the diagnostic criterion. The vehicle signal of the vehicle to be diagnosed may be determined as normal / abnormal.

  DESCRIPTION OF SYMBOLS 1 ... Vehicle diagnostic apparatus, 2 ... Network, 3 ... Server, 4 ... Database.

Claims (4)

A vehicle diagnostic apparatus for diagnosing a vehicle using a vehicle signal,
Collecting means for inputting a predetermined condition set in advance to the vehicle and collecting a vehicle signal and vehicle information of the vehicle from the vehicle according to the predetermined condition;
Accumulation means for accumulating vehicle signal data in association with vehicle information according to a predetermined condition collected by the collection means;
When diagnosing a diagnosis target vehicle, extraction means for extracting accumulated data of a vehicle signal corresponding to a predetermined condition associated with the same vehicle information as the diagnosis target vehicle or similar vehicle information from the accumulation means,
Comparing means for comparing the accumulated data of the vehicle signal corresponding to the predetermined condition extracted by the extracting means and the data of the vehicle signal corresponding to the predetermined condition in the diagnosis target vehicle collected by the collecting means;
A vehicle diagnostic apparatus comprising:   The vehicle diagnosis apparatus according to claim 1, wherein the vehicle information is at least one of engine model information, vehicle type information, bodywork information, and total travel distance information.   The comparison means displays the accumulated data of the vehicle signal according to the predetermined condition extracted by the extraction means, and the data of the vehicle signal according to the predetermined condition of the diagnosis target vehicle collected by the collection means. The vehicle diagnostic apparatus according to claim 1 or 2, characterized in that   The comparison unit generates a diagnostic criterion based on the accumulated data of the vehicle signal corresponding to the predetermined condition extracted by the extracting unit, and sets the diagnostic criterion and the predetermined condition in the diagnosis target vehicle collected by the collecting unit. The vehicle diagnosis apparatus according to claim 1, wherein the vehicle diagnosis apparatus determines whether the vehicle is normal by comparing the data of the corresponding vehicle signal.

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