A method and device for discriminating the azimuth angle of a wind turbine based on the pitch motor current signal

Abstract

The present invention discloses a method and device for judging the azimuth angle of a wind turbine based on the current signal of a pitch motor. The device includes an ARM chip circuit board, a Canopen communication interface of the ARM chip circuit board, and a 24V DC power supply terminal of the ARM chip circuit board; the ARM chip circuit board is connected to the pitch drivers of three blades through the Canopen communication interface of the ARM chip circuit board and the CAN bus respectively; the 24V DC power supply terminal of the ARM chip circuit board is connected to the 24V DC power supply of the pitch driver through a 3-core cable with a cross-sectional area of 0.5mm<supgt;2< / supgt>; the Canopen communication interface of the ARM chip circuit board is integrated on the ARM chip circuit board; the 24V DC power supply terminal of the ARM chip circuit board is integrated on the ARM chip circuit board. The method is to monitor the real-time values of the currents of the pitch motors of three blades, and integrate a new wind turbine azimuth angle recognition algorithm into the main control PLC of the wind turbine generator set, which is a very simple and efficient innovation.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind power generation, and particularly relates to a method and device for discriminating the azimuth angle of a wind turbine based on the current signal of a pitch motor. Background Technique

[0002] The azimuth angle of the wind turbine is an important parameter for identifying the spatial position of the blades during the operation of the wind turbine. With the continuous increase of the wind turbine diameter of large-megawatt units, the flexible control of wind turbines has become increasingly important. In addition, during the manufacturing, transportation, and installation of large flexible blades, defects may occur in the blades, which may cause the problem of blade tower sweeping during the actual operation of the wind turbine. The azimuth angle of the wind turbine is a very important variable in the control strategy to prevent blade tower sweeping of wind turbines. At the same time, during the maintenance process of wind turbines, maintenance personnel may need to enter the hub interior and need to lock the wind turbine. In this case, the azimuth angle of the wind turbine is also a very important variable to assist the main control PLC to actively lock the wind turbine and prevent the wind turbine from rotating.

[0003] For some existing and newly commissioned wind turbines, angle measurement encoders are installed at the rear end of the slip ring, so that the value of the azimuth angle of the wind turbine can be obtained in real time. However, such angle measurement encoders are expensive. At the same time, for the vast majority of existing units or finalized models, there is no suitable position to install such angle measurement encoders. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and device for discriminating the azimuth angle of a wind turbine based on the current signal of a pitch motor, so as to solve the problem that most wind turbines do not have the acquisition signal of the azimuth angle of the wind turbine and thus participate in the active control and auxiliary control of the wind turbine. The present invention monitors the real-time values of the currents of the pitch motors of the three blades and integrates a new azimuth angle recognition algorithm into the main control PLC of the wind turbine, which is a very simple and efficient innovation.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] An azimuth angle discrimination device for a wind turbine based on the current signal of a pitch motor includes an ARM chip circuit board, a Canopen communication interface of the ARM chip circuit board, and a 24V DC power supply terminal of the ARM chip circuit board;

[0007] The ARM chip circuit board is connected to the pitch drivers of the three blades through the Canopen communication interface of the ARM chip circuit board and the CAN bus respectively; the 24V DC power supply terminal of the ARM chip circuit board is connected to the 24V DC power supply of the pitch driver through a cross-section of 0.5mm 2Three three-core cables are connected together; the Canopen communication interface of the ARM chip circuit board is integrated on the ARM chip circuit board; the 24V DC power supply terminal of the ARM chip circuit board is integrated on the ARM chip circuit board.

[0008] A further improvement of the present invention is that the ARM chip circuit board is powered by a 24VDC power supply, and this 24VDC power supply is branched in parallel from the 24VDC power supply in the pitch drive cabinet, with a power of 10 watts. The ARM chip circuit board is configured with a CAN bus communication interface.

[0009] A method for discriminating the azimuth angle of a wind turbine based on the current signal of a pitch motor. This method is based on the described device for discriminating the azimuth angle of a wind turbine based on the current signal of a pitch motor, and includes the following steps:

[0010] Step 1: The three pitch drivers of the wind turbine continuously collect the current of the pitch driver, and the sampling period is 10ms;

[0011] Step 2: The three pitch drivers of the wind turbine collect the current values, and based on the CAN bus communication interface of the ARM chip circuit board, complete the interaction of communication data in accordance with the CANOPEN communication protocol;

[0012] Step 3: After the ARM chip circuit board receives the current signals of the three pitch drivers of the wind turbine, it preprocesses the collected current values:

[0013] Step 4: The ARM chip circuit board runs a program to store the collected current signals after format conversion. The storage step size is 5000 program loop cycles, that is, the ARM chip can store at least the data of the previous 5000 cycles pushed forward from the current cycle;

[0014] Step 5: The ARM chip circuit board continuously updates the current values of the pitch drivers within the previous 5000 cycles before the current cycle, and judges the azimuth angle of the wind turbine under the current cycle according to the built-in azimuth angle detection algorithm;

[0015] Step 6: For better application in engineering practice, the ARM chip circuit board receives the operation signals of the wind turbine from the main control PLC. The specific operation signals include the automatic operation mode of the unit, including start, stop, standby, and grid connection. Currently, the unit is in a stop, start, standby, or grid-connected operation below the rated power without power limit, grid-connected operation near the rated power without power limit, or grid-connected operation below the power set value under power limit, grid-connected operation near the power set value under power limit;

[0016] The ARM chip circuit board collects the operating mode of the main control PLC of the wind turbine. It reads the operating mode of the main control PLC through a certain pitch drive. The ARM chip circuit board obtains the operating mode of the main control PLC of the wind turbine through the CAN communication interface with the pitch drive.

[0017] If the wind turbine supplier can provide state variables characterizing the operating range of the unit, it is an ideal state.

[0018] Step 7: Determine that the wind wheel azimuth angle corresponding to a certain blade at a certain moment is 360°. Then, perform angular velocity integration processing based on the wind wheel speed to obtain the real-time wind wheel azimuth angle at any moment.

[0019] A further improvement of the present invention is that in step 3, preprocessing is performed on the collected current values, including:

[0020] 01: In each sampling period, check the current signals of the three pitch drives collected. If in a certain period, the current signals of one or two or all of the pitch drives are not greater than 0, they are all regarded as invalid values. The ARM chip circuit board marks all the current signals of the collected pitch drives and makes an invalid mark. The current signals with an invalid mark are not used by the ARM chip circuit board for algorithm calculation.

[0021] 02: The ARM chip circuit board performs format conversion on data that is not of the REAL type and converts non-REAL type to REAL type.

[0022] A further improvement of the present invention is that in step 4, regarding the program for the ARM chip circuit board to collect the current values of the first 5000 program cycles internally, when it conforms to the ST language of IEC61131-3, it is written according to the following idea:

[0023]

[0024] Among them, the FOR statement is a FOR loop, and PMC_Current_data is an array-type variable with a length of 5000;

[0025] PMC_Current_data_real is the current data collected by a certain pitch drive and converted to REAL by the ARM chip.

[0026] A further improvement of the present invention is that in step 5, the detailed steps of the detection algorithm for the wind wheel azimuth angle are as follows:

[0027] 01: Make the following regulations for the built-in program algorithm of the ARM chip circuit board. Among them, the real-time current values of the pitch drives of blades A, B, and C are defined as follows,

[0028] PMC_Current_real_A: REAL;

[0029] PMC_Current_real_B: REAL;

[0030] PMC_Current_real_C: REAL;

[0031] The real-time value definition of the pitch drive current of the three blades corresponds to the data type that the pitch drive can actually read. If the current value collected by the pitch drive of the wind turbine is an integer type, the collected integer current value is converted to a real type.

[0032] 02: The past values of the pitch drive current of the three blades A, B, and C are defined as an array.

[0033] PMC_Current_data_A: ARRAY[1..5000] OF REAL;

[0034] PMC_Current_data_B: ARRAY[1..5000] OF REAL;

[0035] PMC_Current_data_C: ARRAY[1..5000] OF REAL;

[0036] The storage and real-time update of the past values of the pitch drive current of the three blades A, B, and C can be updated according to the programming idea in step four.

[0037] 03: For the collected pitch drive current values, a sliding average algorithm is used for smoothing processing. The sliding average algorithm processing adopts an online real-time processing method, that is, the current of the pitch drives of the three blades is updated in real time every other cycle, and the sliding average algorithm smooths the current values of the pitch drives of the three blades once.

[0038] 04: The sliding averages of the current values of the pitch drives of the three blades are defined as follows, and are updated and stored in real time according to the programming idea in step four.

[0039] The past values of the sliding averages of the pitch drive current of the three blades A, B, and C are defined as an array.

[0040] PMC_Current_data_MAF_A: ARRAY[1..5000] OF REAL;

[0041] PMC_Current_data__MAF B: ARRAY[1..5000] OF REAL;

[0042] PMC_Current_data__MAF C: ARRAY[1..5000] OF REAL;

[0043] 05: Calculate the variable-step slope of the current values collected by the pitch drive for each blade, and calculate the slope every 10 program cycles, 50 program cycles, and 100 program cycles respectively;

[0044] The calculation method is as follows: S = (Current A - Current B) / T * N;

[0045] Among them, S is the variable pitch motor current change slope calculated;

[0046] T is the program refresh period;

[0047] N is the number of program cycles;

[0048] Current A and B are the pitch drive current values within a certain cycle;

[0049] In the embodiment, the calculation process is described in detail:

[0050] For blade A:

[0051] S A10 = (PMC_Current_data_MAF_A

[5000] - PMC_Current_data_MAF_A

[4991] ) / 10 * T,

[0052] S A50 = (PMC_Current_data_MAF_A

[5000] - PMC_Current_data_MAF_A

[4949] ) / 50 * T,

[0053] S A100 = (PMC_Current_data_MAF_A

[5000] - PMC_Current_data_MAF_A

[4901] ) / 100 * T;

[0054] Among them, T = 10ms;

[0055] For blade B:

[0056] S B10 = (PMC_Current_data_MAF_B

[5000] - PMC_Current_data_MAF_B

[4991] ) / 10 * T,

[0057] S B50= (PMC_Current_data_MAF_B

[5000] - PMC_Current_data_MAF_B

[4949] ) / 50 * T,

[0058] S B100 = (PMC_Current_data_MAF_B

[5000] - PMC_Current_data_MAF_B

[4901] ) / 100 * T;

[0059] where T = 10ms;

[0060] For blade C:

[0061] S C10 = (PMC_Current_data_MAF_C

[5000] - PMC_Current_data_MAF_C

[4991] ) / 10 * T,

[0062] S C50 = (PMC_Current_data_MAF_C

[5000] - PMC_Current_data_MAF_C

[4949] ) / 50 * T,

[0063] S C100 = (PMC_Current_data_MAF_C

[5000] - PMC_Current_data_MAF_C

[4901] ) / 100 * T;

[0064] where T = 10ms;

[0065] 06: When the slope of the current value of any one pitch drive changes from positive to negative, the blade is about to pass through the uppermost part of the wind turbine rotation plane. For the blade in the current state, the azimuth angle of the wind turbine at this moment is 360° ± Value_offSet.

[0066] A further improvement of the present invention is that the filtering periods of the sliding average values are 10ms, 500ms, 1s, and 2s respectively.

[0067] A further improvement of the present invention is that the offset Value_offSet is determined according to the actual condition of the pitch system of the unit. For a 4MW horizontal axis wind turbine, the Value_offSet is taken as 4°.

[0068] Compared with the prior art, the present invention has the following technical effects:

[0069] (A) The device of the present invention is very simple and the cost is very low.

[0070] (B) The present invention innovatively proposes to use the current feedback value of the pitch drive of the wind turbine as signal data to determine the azimuth angle of the wind turbine rotor. This method not only improves and upgrades the program of the actually operating unit, but also can analyze the operating data of the unit without the azimuth angle signal of the rotor, and then obtain the azimuth angle signal of the rotor of this unit;

[0071] (C) The novel method for calculating the azimuth angle of the wind turbine rotor proposed by the present invention can efficiently and accurately identify the rotational speed of the wind turbine rotor, with less calculation amount, higher accuracy, and great practical application significance in engineering;

[0072] (D) This method can widely and effectively handle the analysis of the blade tower-sweeping accident of the wind turbine;

[0073] (E) The solution of the present invention is reasonable and very easy to implement.

[0074] In summary, the key factor for the present invention to have a broad application prospect is that when the pitch drive of the wind turbine operates below the rated power, the main control PLC needs to maintain the pitch angle near the optimal pitch angle, and the pitch angle no longer changes. At this time, the pitch drive needs to apply an electromagnetic braking torque to the pitch motor, and the electromagnetic braking torque can, to a certain extent, reflect the in-plane bending moment of the three blades of the wind turbine; when the wind turbine operates above the rated wind speed, the main control PLC changes the pitch angle according to the difference between the target speed and the actual speed, and the current value of the pitch drive driving the pitch motor can also, to a certain extent, reflect the in-plane bending moment of the three blades of the wind turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 It is a schematic diagram of the operating control range of the wind turbine.

[0076] Figure 2 It is a schematic diagram of the connection method between the three pitch drives, the ARM chip circuit board, and the main control PLC of the present invention.

[0077] Among them: 1 - CANopen communication interface of the 1# pitch drive, 2 - 1# pitch drive, 3 - 1# pitch drive, 4 - main control PLC, 5 - CANopen communication interface of the main control PLC, 6 - ARM chip circuit board, 7 - CANopen communication interface of the ARM chip circuit board, 8 - 24V power supply terminal of the pitch drive, 9 - 24V power supply terminal of the ARM chip circuit board.

[0078] Figure 3 It is a schematic diagram of the original value of the current signal of the pitch drive.

[0079] Figure 4 It is a schematic diagram of the 1s sliding average value of the current signal of the pitch drive.

[0080] Figure 5Schematic diagram of the 2s sliding average value of the pitch drive current signal.

[0081] Figure 6 Schematic diagram of the wind wheel azimuth angle and the current slope of the pitch motor.

[0082] Figure 7 Schematic diagram of the original value of the pitch drive current signal.

[0083] Figure 8 Schematic diagram of the 1s sliding average value of the pitch drive current signal.

[0084] Figure 9 Schematic diagram of the 2s sliding average value of the pitch drive current signal.

[0085] Figure 10 Schematic diagram of the wind wheel azimuth angle and the current slope of the pitch motor. Detailed implementation manners

[0086] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.

[0087] Taking the actual operation data of a wind turbine as an example, the embodiments will be illustrated.

[0088] When the unit is operating in the operating range Ⅰ of the wind turbine shown above, the pitch angle of the unit is maintained at the optimal pitch angle to track the best tip speed ratio. At this time, the pitch drive applies an electromagnetic braking torque to the pitch motor to keep the blade pitch angle at the optimal pitch angle. The currents of the three pitch drives are as Figure 2 shown: Figure 2 shown:

[0089] It should be noted that the pitch drive of this model collects the pitch motor current every 10 ms. The original values of the 10 ms current signals of the three blade pitch drives are as Figure 3 shown. After the sliding average value calculation, the current average values of 1000 ms are as follows Figure 4 shown, and the current average values of 2000 ms are as follows Figure 5 shown. It should be noted that the current value collected by the actual unit pitch drive is of INT type. In this invention patent, it is specifically stated that this current value should be set to REAL type.

[0090] The present invention calculates the current value and current slope value of the pitch motor at all times. The relationship between the current slope value of the No. 2 pitch driver and the wind turbine azimuth angle is as follows Figure 7 as shown:

[0091] Figure 6 It can be seen from the figure that the slope calculated by the program gradually transitions from a positive value to a negative value. At the moment of 6354, the slope becomes 0. The actual measured value of the wind turbine azimuth angle at this time is 357.1°. At the moment of 6366, the wind turbine azimuth angle becomes 0.129°, that is, 360° + 0.129°.

[0092] At the moment of 6354, based on the calculated pitch current slope of 0 by the program, it is determined that the wind turbine azimuth angle at this time is 360 degrees. Considering that there will be a certain phase lag in the current slope of the pitch system, the phase offset value Value_offSet = 4° obtained from the engineering experience of the pitch system of large MW wind turbines is added. Then the calculated wind turbine azimuth angle is 360° - 4° = 356°, which is only 1 degree different from the actual measured value.

[0093] Embodiment 2:

[0094] When the unit is operating in the wind turbine operating intervals II and III as shown Figure 2 below, the pitch angle of the unit is changed by the main control PLC instruction to keep the output power constant. At this time, the pitch driver applies an electromagnetic driving torque to the pitch motor to keep the blade pitch angle at the target pitch angle. The currents of the three pitch drivers are shown in the following figure:

[0095] The present invention calculates the current value and current slope value of the pitch motor at all times. It can be seen from Figures 7 - 9 the figure that the current values of the three pitch drivers at this moment are:

[0096] The relationship between the current slope value of the No. 2 pitch driver and the wind turbine azimuth angle is as follows Figure 7 as shown:

[0097] Figure 10 It can be seen from the figure that the slope calculated by the program gradually transitions from a positive value to a negative value. At the moment of 9160, the slope becomes 0. The actual measured value of the wind turbine azimuth angle at this time is 355.3°. At the moment of 9179, the wind turbine azimuth angle becomes 0.085°, that is, 360° + 0.085°.

[0098] At time 9160, the program determines that the azimuth angle of the wind turbine is 360 degrees based on the calculated pitch current slope of 0. Considering that there will be a certain phase lag in the current slope of the pitch system, the phase offset Value_offSet = 4° obtained from the engineering experience of the pitch system of large MW wind turbines is added. Then the calculated azimuth angle of the wind turbine is 360° - 4° = 356°, which is only +0.7 degrees different from the actual measured value of 355.3°.

[0099] As can be seen from the above two embodiments, the algorithm has strong engineering practical significance, can fully and effectively meet the demand for wind turbine azimuth angle identification in the main control system without wind turbine azimuth angle records, and this technical method plays a very important role in accident analysis such as blade tower sweeping of wind turbines.

[0100] When the unit is in other operating ranges other than 1, 2, and 3, the control algorithm does not work and no wind turbine azimuth angle calculation is performed.

[0101] Although the present invention has been described in detail above with general descriptions and specific embodiments, based on the present invention, some modifications or improvements can be made, which are obvious to those skilled in the art. Therefore, these modifications or improvements made without departing from the spirit of the present invention all fall within the scope of the present invention claimed.

Claims

1. A method for discriminating the azimuth angle of a wind turbine based on the current signal of a pitch motor, characterized in that, It includes the following steps: Step 1: The three pitch drives of the wind turbine continuously collect the pitch drive current, and the sampling period is 10 ms; Step 2: The three pitch drives of the wind turbine collect the current values and complete the interaction of communication data based on the CAN bus communication interface of the ARM chip circuit board using the Canopen communication protocol; Step 3: After the ARM chip circuit board receives the current signals from the three pitch drives of the wind turbine, it preprocesses the collected current values; Step 4: The ARM chip circuit board runs a program to store the collected current signals after format conversion. The storage step is 5000 program loop cycles, that is, the ARM chip can store at least the data of the previous 5000 cycles pushed forward from the current cycle; Step 5: The ARM chip circuit board continuously updates the pitch drive current values within the previous 5000 cycles from the current cycle and judges the azimuth angle of the wind wheel in the current cycle according to the built-in azimuth angle detection algorithm: 501: The real-time value definition of the current of the three blade pitch drives corresponds to the data type that the pitch drive can actually read. If the current value collected by the pitch drive of the wind turbine is an integer type, the collected integer current value is converted into a real number type; 502: The past values of the currents of the three blade pitch drives are defined as an array and are stored and continuously updated according to the programming idea in Step 4; 503: For the collected pitch drive current values, a sliding average algorithm is used for smoothing processing. The sliding average algorithm is processed in an online real-time manner, that is, the currents of the three blade pitch drives are updated in real time every other cycle, and the sliding average algorithm smooths the current values of the three blade pitch drives once; 504: The sliding average values of the currents of the three blade pitch drives are continuously updated and stored according to the programming idea in Step 4. The past values of the sliding average currents of the three blade pitch drives are defined as an array; 505: Variable step slope calculations are performed on the current values collected by the pitch drive of each blade, and slope calculations are performed every 10 program cycles, 50 program cycles, and 100 program cycles respectively; The calculation method is as follows: S = (Current A - Current B) / T × N; where S is the calculated pitch motor current change slope; T is the program refresh period; N is the number of program cycles; Current A and B are the pitch drive current values within a certain cycle; 506: When the slope of any pitch drive current value changes from positive to negative, the blade is about to pass through the uppermost part of the wind wheel rotation plane. For the blade in the current state, the azimuth angle of the wind wheel at this moment is 360° ± Value_offSet, where Value_offSet is an offset determined according to the actual situation of the pitch system of the unit; Step 6: The ARM chip circuit board receives the wind turbine operation signal from the main control PLC; The ARM chip circuit board collects the operation mode of the main control PLC of the wind turbine. It reads the operation mode of the main control PLC through a certain pitch drive. The ARM chip circuit board obtains the operation mode of the main control PLC of the wind turbine through the CAN communication interface with the pitch drive; When the wind turbine can provide state variables characterizing the operating range of the unit, it is an ideal state; Step Seven: Determine that the wind wheel azimuth angle corresponding to a certain blade at a certain moment is 360°, then perform angular velocity integration processing according to the wind wheel speed to obtain the real-time wind wheel azimuth angle at any moment.

2. The method for discriminating the azimuth angle of a wind turbine based on the pitch motor current signal according to claim 1, wherein In Step Three, preprocess the collected current value, including: 301: In each sampling period, check the current signals of the three pitch drives collected. If in a certain period, the current signals of one, two, or all of the pitch drives are not greater than 0, they are all regarded as invalid values. The ARM chip circuit board marks all the collected current signals of the pitch drives and makes invalid marks. The current signals with invalid marks are not used by the ARM chip circuit board for algorithm calculation; 302: The ARM chip circuit board performs format conversion on data that is not of real number type, converting non-real number type to real number type.

3. A method for discriminating the azimuth angle of a wind turbine based on the current signal of a pitch motor according to claim 1, characterized in that The filtering periods of the sliding average values are 10ms, 500ms, 1s, and 2s respectively.

4. A method for discriminating the azimuth angle of a wind turbine based on the pitch motor current signal according to claim 1, characterized in that For a 4MW horizontal axis wind turbine, the Value_offSet takes a value of 4°.

5. A method for discriminating the azimuth angle of a wind turbine based on the pitch motor current signal according to claim 1, characterized in that The wind turbine operation signal described in Step Six adopts the automatic operation mode of the unit, including start-up, shutdown, standby, and grid connection. The current unit is in the shutdown state, start-up state, standby state, or grid-connected operation below the rated power without power limit, grid-connected operation near the rated power without power limit, or grid-connected operation below the power set value under power limit, grid-connected operation near the power set value under power limit.

6. A wind turbine azimuth discrimination device based on the pitch motor current signal, characterized in that The device is based on a method for discriminating the wind wheel azimuth angle based on the pitch motor current signal according to any one of claims 1-5, and includes an ARM chip circuit board (6), an ARM chip circuit board Canopen communication interface (7), and an ARM chip circuit board 24V DC power supply terminal (9); The ARM chip circuit board (6) is connected to the pitch drives of the three blades respectively through the ARM chip circuit board Canopen communication interface (7) and the CAN bus; the 24V DC power supply terminal (9) of the ARM chip circuit board is connected to the 24V DC power supply of the pitch drive through a 3-core cable with a cross-sectional area of 0.5mm 2 ; the ARM chip circuit board Canopen communication interface (7) is integrated on the ARM chip circuit board (6); the 24V DC power supply terminal (9) of the ARM chip circuit board is integrated on the ARM chip circuit board (6).

7. The azimuth angle discrimination device of a wind turbine based on the pitch motor current signal according to claim 6, characterized in that, The ARM chip circuit board is powered by a 24VDC power supply, and this 24VDC power supply is branched in parallel from the 24VDC power supply in the pitch drive cabinet with a power of 10 watts. The ARM chip circuit board is configured with a CAN bus communication interface.

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