A digital motor, abnormal data acquisition and diagnosis system and method

Abstract

The present invention relates to the field of motor technology, and specifically to a digital motor, abnormal data acquisition and diagnosis system and method, including a data acquisition module, a data processing module, a data visualization module, a threshold judgment module and an alarm module. The present invention realizes real-time monitoring and intelligent diagnosis of the motor operation status by integrating multiple modules such as data acquisition, data processing, data visualization, threshold judgment and alarm. This can not only detect the abnormal state of the motor in time and reduce maintenance costs, but also improve the reliability and service life of the motor. At the same time, the system also provides strong support for remote operation and maintenance and predictive maintenance of the motor, thereby solving the problem that the existing motor cannot detect faults in time, resulting in increased maintenance costs.

Description

Technical Field

[0001] The present invention relates to the field of motor technology, and in particular to a digital motor, an abnormal data acquisition and diagnosis system and a method. Background Art

[0002] In existing common motor application scenarios, motors are mainly used as power output devices. Traditional motor designs do not integrate data collection and intelligent diagnosis functions, resulting in motor managers being unable to immediately learn when the motor is operating abnormally. These abnormalities may include vibration abnormalities, overload abnormalities, short circuit abnormalities, etc., which can damage the motor and may cause unplanned downtime of the production line, resulting in immeasurable economic losses.

[0003] In addition, when motor managers conduct daily inspections, they usually can only rely on experience, such as touching the surface temperature of the motor, listening to the sound of the motor, etc. to determine whether the motor is running normally. This method lacks objective data support, is prone to misjudgment of faults, and cannot achieve real-time inspections. Therefore, the existing ordinary motors have the disadvantages of being unable to detect faults in time, high maintenance costs, and long downtime during operation. Summary of the invention

[0004] The purpose of the present invention is to provide a digital motor, abnormal data acquisition and diagnosis system and method, aiming to solve the problem that the existing motor cannot detect faults in time, resulting in increased maintenance costs.

[0005] To achieve the above-mentioned purpose, in a first aspect, the present invention provides a digital motor abnormality data acquisition and diagnosis system, comprising a data acquisition module, a data processing module, a data visualization module, a threshold judgment module and an alarm module, wherein the data acquisition module, the data visualization module and the threshold judgment module are respectively connected to the data processing module, and the alarm module is connected to the threshold judgment module;

[0006] The data acquisition module is used to collect the working data of the digital motor in real time and transmit the working data to the data processing module;

[0007] The data processing module is used to process the working data to obtain motor status data;

[0008] The data visualization module generates a working report of the digital motor based on the motor status data and displays it;

[0009] The threshold judgment module performs data judgment on the motor state data based on the threshold, obtains a judgment result and generates an instruction;

[0010] The alarm module sends an alarm or warning to the administrator based on the instruction.

[0011] Wherein, the data acquisition module includes a speed acquisition unit, a temperature acquisition unit, a current acquisition unit, an acceleration acquisition unit, a magnetic field acquisition unit, a microphone acquisition unit and a data aggregation unit, and the speed acquisition unit, the temperature acquisition unit, the current acquisition unit, the acceleration acquisition unit, the magnetic field acquisition unit and the microphone acquisition unit are respectively connected to the data aggregation unit;

[0012] The speed acquisition unit is used to acquire the speed data of the digital motor in real time;

[0013] The temperature acquisition unit is used to collect temperature data of the digital motor in real time;

[0014] The current acquisition unit is used to collect the current data of the digital motor in real time;

[0015] The acceleration acquisition unit is used to acquire the acceleration data of the digital motor in real time;

[0016] The magnetic field acquisition unit is used to collect magnetic field data of the digital motor in real time;

[0017] The microphone collection unit is used to collect noise data of the digital motor in real time;

[0018] The data summarizing unit is used to summarize the rotation speed data, the temperature data, the current data, the acceleration data, the magnetic field data and the noise data to obtain working data, and transmit the working data to the data processing module.

[0019] Wherein, the data processing module includes a data cleaning unit, a conversion unit and a data extraction unit, and the data cleaning unit, the conversion unit and the data extraction unit are connected in sequence;

[0020] The data cleaning unit is used to clean the working data;

[0021] The conversion unit is used to convert the format of the cleaned working data;

[0022] The data extraction unit is used to extract data from the working data after format conversion to obtain motor status data.

[0023] Wherein, the data visualization module includes a data sorting unit, a report generating unit, a graphic generating unit and a display unit, wherein the report generating unit and the graphic generating unit are respectively connected to the data sorting unit and are respectively connected to the display unit;

[0024] The data sorting unit is used to sort the motor status data;

[0025] The report generating unit generates a working report based on the motor status data;

[0026] The graph generating unit generates a curve graph based on the motor state data;

[0027] The display unit is used to display the work report and the curve chart.

[0028] Wherein, the threshold judgment module includes a database, a comparison unit and an execution unit, and the database, the comparison unit and the execution unit are connected in sequence;

[0029] The database is used to store the early warning threshold data and the alarm threshold data of the digital motor;

[0030] The comparison unit judges and compares the working state data of the digital motor based on the early warning threshold data and the alarm threshold data, and outputs the corresponding judgment result and generates an instruction;

[0031] The execution unit controls the alarm module based on the instruction.

[0032] In a second aspect, a method for collecting and diagnosing abnormal data of a digital motor is provided, which is used in the system for collecting and diagnosing abnormal data of a digital motor described in the first aspect.

[0033] Collecting the working data of the digital motor in real time and transmitting the working data to the data processing module;

[0034] Processing the working data to obtain motor state data;

[0035] Generate a working report of the digital motor based on the motor status data and display it;

[0036] Performing data judgment on the motor state data based on a threshold value, obtaining a judgment result, and generating an instruction;

[0037] An alarm or warning is issued to an administrator based on the instruction.

[0038] In a third aspect, a digital motor is provided for use in the digital motor abnormal data acquisition and diagnosis system described in the first aspect, comprising a motor body, a power junction box and a sensor box, wherein the power junction box is installed on one side of the motor body, and the sensor box is installed on one side of the motor body and connected to the power junction box.

[0039] A digital motor abnormal data acquisition and diagnosis system of the present invention comprises a data acquisition module, a data processing module, a data visualization module, a threshold judgment module and an alarm module, wherein the data acquisition module, the data visualization module and the threshold judgment module are respectively connected to the data processing module, and the alarm module is connected to the threshold judgment module; the data acquisition module is used to collect the working data of the digital motor in real time and transmit the working data to the data processing module; the data processing module is used to process the working data to obtain the motor state data; the data visualization module generates a working report of the digital motor based on the motor state data and displays it; the threshold judgment module performs data judgment on the motor state data based on the threshold value, obtains the judgment result and generates an instruction; the alarm module issues an alarm or warning to the administrator based on the instruction. The present invention realizes real-time monitoring and intelligent diagnosis of the motor operation state by integrating multiple modules such as data acquisition, data processing, data visualization, threshold judgment and alarm. This can not only timely discover the abnormal state of the motor and reduce the maintenance cost, but also improve the reliability and service life of the motor. At the same time, the system also provides strong support for remote operation and maintenance and predictive maintenance of motors, thereby solving the problem of increased maintenance costs due to the inability to detect faults in existing motors in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 It is a schematic diagram of a digital motor abnormality data acquisition and diagnosis system provided by the present invention.

[0042] Figure 2 It is a schematic diagram of the data acquisition module.

[0043] Figure 3 It is a schematic diagram of the data processing module.

[0044] Figure 4 It is a schematic diagram of the data visualization module.

[0045] Figure 5 It is a schematic diagram of the threshold judgment module.

[0046] Figure 6 The present invention provides a flow chart of a method for collecting and diagnosing digital motor constant data.

[0047] Figure 7 It is a schematic diagram of a digital motor provided by the present invention.

[0048] In the figure: 1-data acquisition module, 2-data processing module, 3-data visualization module, 4-threshold judgment module, 5-alarm module, 11-speed acquisition unit, 12-temperature acquisition unit, 13-current acquisition unit, 14-acceleration acquisition unit, 15-magnetic field acquisition unit, 16-microphone acquisition unit, 17-data summary unit, 21-data cleaning unit, 22-conversion unit, 23-data extraction unit, 31-data sorting unit, 32-report generation unit, 33-graphic generation unit, 34-display unit, 41-database, 42-comparison unit, 43-execution unit;

[0049] 101-motor body, 102-power junction box, 103-sensor box. DETAILED DESCRIPTION

[0050] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0051] See also Figures 1 to 5 In a first aspect, the present invention provides a digital motor abnormal data acquisition and diagnosis system, comprising a data acquisition module 1, a data processing module 2, a data visualization module 3, a threshold judgment module 4 and an alarm module 5, wherein the data acquisition module 1, the data visualization module 3 and the threshold judgment module 4 are respectively connected to the data processing module 2, and the alarm module 5 is connected to the threshold judgment module 4;

[0052] The data acquisition module 1 is used to collect the working data of the digital motor in real time and transmit the working data to the data processing module 2;

[0053] The data processing module 2 is used to process the working data to obtain motor status data;

[0054] The data visualization module 3 generates a working report of the digital motor based on the motor status data and displays it;

[0055] The threshold judgment module 4 performs data judgment on the motor state data based on the threshold, obtains a judgment result and generates an instruction;

[0056] The alarm module 5 sends an alarm or warning to the administrator based on the instruction.

[0057] In this embodiment, the data acquisition module 1 is used to collect the working data of the digital motor in real time and transmit the working data to the data processing module 2; the data processing module 2 is used to process the working data to obtain the motor status data; the data visualization module 3 generates a working report of the digital motor based on the motor status data and displays it; the threshold judgment module 4 performs data judgment on the motor status data based on the threshold, obtains the judgment result and generates an instruction; the alarm module 5 issues an alarm or warning to the administrator based on the instruction. The present invention realizes real-time monitoring and intelligent diagnosis of the motor operation status by integrating multiple modules such as data acquisition, data processing, data visualization, threshold judgment and alarm. This can not only detect the abnormal state of the motor in time and reduce the maintenance cost, but also improve the reliability and service life of the motor. At the same time, the system also provides strong support for the remote operation and maintenance and predictive maintenance of the motor, thereby solving the problem that the existing motor cannot detect faults in time, resulting in increased maintenance costs.

[0058] Further, the data acquisition module 1 includes a speed acquisition unit 11, a temperature acquisition unit 12, a current acquisition unit 13, an acceleration acquisition unit 14, a magnetic field acquisition unit 15, a microphone acquisition unit 16 and a data aggregation unit 17, and the speed acquisition unit 11, the temperature acquisition unit 12, the current acquisition unit 13, the acceleration acquisition unit 14, the magnetic field acquisition unit 15 and the microphone acquisition unit 16 are respectively connected to the data aggregation unit 17;

[0059] The speed acquisition unit 11 is used to acquire the speed data of the digital motor in real time;

[0060] The temperature acquisition unit 12 is used to collect temperature data of the digital motor in real time;

[0061] The current acquisition unit 13 is used to collect the current data of the digital motor in real time;

[0062] The acceleration acquisition unit 14 is used to acquire the acceleration data of the digital motor in real time;

[0063] The magnetic field acquisition unit 15 is used to collect magnetic field data of the digital motor in real time;

[0064] The microphone collection unit 16 is used to collect noise data of the digital motor in real time;

[0065] The data aggregation unit 17 is used to aggregate the rotation speed data, the temperature data, the current data, the acceleration data, the magnetic field data and the noise data to obtain working data, and transmit the working data to the data processing module 2. The data aggregation unit 17 has a WiFi module, a 4G / 5G module or a 485 module to realize data transmission.

[0066] In this embodiment, the speed acquisition unit 11 acquires the speed data of the digital motor in real time; the temperature acquisition unit 12 acquires the temperature data of the digital motor in real time; the current acquisition unit 13 acquires the current data of the digital motor in real time; the acceleration acquisition unit 14 acquires the acceleration data of the digital motor in real time; the magnetic field acquisition unit 15 acquires the magnetic field data of the digital motor in real time; the microphone acquisition unit 16 acquires the noise data of the digital motor in real time; the data aggregation unit 17 aggregates the speed data, the temperature data, the current data, the acceleration data, the magnetic field data and the noise data to obtain working data, and transmits the working data to the data processing module 2.

[0067] Further, the data processing module 2 includes a data cleaning unit 21, a conversion unit 22 and a data extraction unit 23, and the data cleaning unit 21, the conversion unit 22 and the data extraction unit 23 are connected in sequence;

[0068] The data cleaning unit 21 is used to clean the working data;

[0069] The conversion unit 22 is used to convert the format of the cleaned working data;

[0070] The data extraction unit 23 is used to extract data from the working data after format conversion to obtain motor status data.

[0071] In this embodiment, the data cleaning unit 21 cleans the working data; the conversion unit 22 converts the format of the cleaned working data; and the data extraction unit 23 extracts the working data after the format conversion to obtain motor status data.

[0072] Further, the data visualization module 3 includes a data sorting unit 31, a report generating unit 32, a graphic generating unit 33 and a display unit 34, wherein the report generating unit 32 and the graphic generating unit 33 are respectively connected to the data sorting unit 31 and are respectively connected to the display unit 34;

[0073] The data sorting unit 31 is used to sort the motor status data;

[0074] The report generating unit 32 generates a work report based on the motor status data;

[0075] The graph generating unit 33 generates a curve graph based on the motor state data;

[0076] The display unit 34 is used to display the work report and the curve chart.

[0077] In this embodiment, the data sorting unit 31 sorts the motor status data; the report generating unit 32 generates a work report based on the motor status data; the graphics generating unit 33 generates a curve chart based on the motor status data; and the display unit 34 displays the work report and the curve chart.

[0078] Further, the threshold judgment module 4 includes a database 41, a comparison unit 42 and an execution unit 43, and the database 41, the comparison unit 42 and the execution unit 43 are connected in sequence;

[0079] The database 41 is used to store the early warning threshold data and the alarm threshold data of the digital motor;

[0080] The comparison unit 42 judges and compares the working state data of the digital motor based on the early warning threshold data and the alarm threshold data, and outputs the corresponding judgment result and generates an instruction;

[0081] The execution unit 43 controls the alarm module 5 based on the instruction.

[0082] In this embodiment, the database 41 stores the early warning threshold data and the alarm threshold data of the digital motor; the comparison unit 42 judges and compares the working status data of the digital motor based on the early warning threshold data and the alarm threshold data, and outputs the corresponding judgment result and generates an instruction; the execution unit 43 controls the alarm module 5 based on the instruction.

[0083] Example 1

[0084] When the fixing screws of the motor base are loose or the inner and outer rings of the motor bearings are abnormally worn, the overall vibration value of the motor will increase. The embedded program inside the sensor box converts the three-axis (X-axis / Y-axis / Z-axis) acceleration analog quantity collected by the three-axis acceleration chip into a three-axis (X-axis / Y-axis / Z-axis) digital quantity, that is, the vibration velocity value, in mm / s. The sound analog quantity collected by the microphone acquisition chip is converted into a digital quantity, that is, the sound decibel value, in dB. The three-axis (X-axis / Y-axis / Z-axis) vibration value and sound decibel value are transmitted to the server through the communication module through wired or wireless transmission methods (4G, 5G, wifi, LoRa, RJ45, RS485). The server deploys an algorithm, which sets the thresholds of the vibration value and the sound decibel value according to the nameplate information of the motor. The vibration value and the sound decibel value transmitted to the server will be compared with the set threshold in real time. When the real-time collected vibration and sound decibel data continue to approach or exceed the warning threshold, the server pushes vibration and noise warning messages to the platform; when the real-time collected vibration and sound decibel data exceed the alarm threshold, the server pushes vibration and noise alarm messages to the platform. After receiving the message, the equipment manager will tighten the fixing screws or replace the bearings in time to eliminate the hidden dangers in advance.

[0085] Example 2

[0086] When the motor's cooling fan function is abnormal and the fan cover is blocked, the motor surface temperature and temperature rise will rise sharply. The embedded program inside the sensor box converts the temperature analog value collected by the temperature acquisition chip into a digital value, that is, the motor surface temperature value, in °C. The motor surface temperature value is transmitted to the server through the communication module through wired or wireless transmission methods (4G, 5G, wifi, LoRa, RJ45, RS485). The server deploys an algorithm, which sets the threshold of the motor surface temperature and temperature rise according to the nameplate information of the motor. The motor surface temperature and temperature rise values ​​transmitted to the server will be compared with the set threshold in real time. When the real-time collected motor surface temperature and temperature rise values ​​continue to approach or exceed the warning threshold, the server pushes the temperature and temperature rise warning message to the platform; when the real-time collected motor surface temperature and temperature rise values ​​exceed the alarm threshold, the server pushes the temperature and temperature rise alarm message to the platform. After receiving the message, the equipment manager will promptly clear the cooling fan and fan cover to eliminate the hidden dangers in advance.

[0087] Example 3

[0088] When the motor load continues to increase and exceeds the rated power of the motor, the magnetic field acquisition chip inside the sensor box will detect a sudden drop in the magnetic field data; the speed sensor at the motor output shaft end will detect a sudden drop in speed; and the current acquisition sensor inside the power junction box will detect an increase in the operating current. The embedded program inside the sensor box converts the analog flux collected by the magnetic field acquisition chip into a digital quantity, that is, the magnetic field strength, in units of Gs; converts the analog speed collected by the speed sensor into a digital quantity, that is, the motor speed, in units of r / min; and converts the analog current collected by the current acquisition sensor into a digital quantity, that is, the operating current, in units of A. The magnetic field strength, motor speed, and operating current data are transmitted to the server through the communication module through wired or wireless transmission methods (4G, 5G, wifi, LoRa, RJ45, RS485). The server deploys an algorithm, which sets the threshold of the magnetic field strength based on the magnetic field strength data of the motor's initial 7 days of operation; the algorithm sets the motor speed and operating current thresholds based on the motor nameplate information, and the magnetic field strength, motor speed, and operating current values ​​transmitted to the server are compared with the set thresholds in real time. When the magnetic field strength, motor speed and operating current continue to approach or exceed the set warning threshold, the server pushes a motor overload warning message to the platform; when the magnetic field strength, motor speed and operating current exceed the set alarm threshold, the server pushes a motor overload alarm message to the platform. After receiving the message, the equipment management personnel will shut down the machine in time for inspection and maintenance to eliminate hidden dangers in advance.

[0089] See also Figure 6 In a second aspect, a method for collecting and diagnosing abnormal data of a digital motor is provided, which is used in the system for collecting and diagnosing abnormal data of a digital motor according to the first aspect, and comprises the following steps:

[0090] S1 collects the working data of the digital motor in real time and transmits the working data to the data processing module 2;

[0091] Specifically, the speed acquisition unit 11 acquires the speed data of the digital motor in real time; the temperature acquisition unit 12 acquires the temperature data of the digital motor in real time; the current acquisition unit 13 acquires the current data of the digital motor in real time; the acceleration acquisition unit 14 acquires the acceleration data of the digital motor in real time; the magnetic field acquisition unit 15 acquires the magnetic field data of the digital motor in real time; the microphone acquisition unit 16 acquires the noise data of the digital motor in real time; the data aggregation unit 17 aggregates the speed data, the temperature data, the current data, the acceleration data, the magnetic field data and the noise data to obtain working data, and transmits the working data to the data processing module 2.

[0092] S2 processes the working data to obtain motor status data;

[0093] Specifically, the data cleaning unit 21 cleans the working data; the conversion unit 22 performs format conversion on the cleaned working data; and the data extraction unit 23 extracts data from the format-converted working data to obtain motor status data.

[0094] S3 generates a working report of the digital motor based on the motor status data and displays it;

[0095] Specifically, the data sorting unit 31 sorts the motor status data; the report generating unit 32 generates a work report based on the motor status data; the graphic generating unit 33 generates a curve chart based on the motor status data; and the display unit 34 displays the work report and the curve chart.

[0096] S4 performs data judgment on the motor state data based on the threshold value, obtains a judgment result, and generates an instruction;

[0097] Specifically, the database 41 stores the early warning threshold data and the alarm threshold data of the digital motor; the comparison unit 42 judges and compares the working status data of the digital motor based on the early warning threshold data and the alarm threshold data, and outputs the corresponding judgment result and generates an instruction; the execution unit 43 controls the alarm module 5 based on the instruction.

[0098] S5 issues an alarm or warning to the administrator based on the instruction.

[0099] Specifically, the alarm module 5 issues an alarm or warning to the administrator based on the instruction.

[0100] See also Figure 7 In the third aspect, a digital motor is used in the digital motor abnormal data acquisition and diagnosis system described in the first aspect, comprising a motor body 101, a power junction box 102 and a sensor box 103, wherein the power junction box 102 is installed on one side of the motor body 101, and the sensor box 103 is installed on one side of the motor body 101 and connected to the power junction box 102.

[0101] In this embodiment, the motor body 101 provides installation conditions for the power junction box 102 and the sensor box 103. The motor body 101 and the sensor box 103 can be powered by the power junction box 102. The data acquisition module 1 can be installed by the sensor box 103, and the working data of the motor body 101 can be collected in real time by the sensor box 103. The motor body 101 includes a motor base, a motor housing, a motor shaft, a motor end cover, a stator, a rotor core, a cooling fan, and a fan cover.

[0102] Beneficial effects:

[0103] 1. Digital motors integrate the Internet of Things, communication technology and predictive maintenance to demonstrate excellent technical effects. Through the Internet of Things technology, digital motors achieve real-time monitoring and remote management, improve equipment intelligence and operational efficiency. Advanced communication technology ensures efficient data transmission, realizes multi-device interconnection and collaborative work, and enhances the overall performance of the system.

[0104] 2. In terms of predictive maintenance, digital motors use data analysis to warn of failures in advance, reduce unplanned downtime, and improve equipment reliability.

[0105] 3. Optimize maintenance strategies based on data results to further reduce maintenance costs and extend equipment life.

[0106] The above disclosure is only a preferred embodiment of a digital motor, abnormal data acquisition and diagnosis system and method of the present invention. Of course, this cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiments and equivalent changes made according to the claims of the present invention are still within the scope of the invention.

Claims

1. A digital motor abnormality data acquisition and diagnosis system, characterized in that: It includes a data acquisition module, a data processing module, a data visualization module, a threshold judgment module and an alarm module, wherein the data acquisition module, the data visualization module and the threshold judgment module are respectively connected to the data processing module, and the alarm module is connected to the threshold judgment module; The data acquisition module is used to collect the working data of the digital motor in real time and transmit the working data to the data processing module; The data processing module is used to process the working data to obtain motor status data; The data visualization module generates a working report of the digital motor based on the motor status data and displays it; The threshold judgment module performs data judgment on the motor state data based on the threshold, obtains a judgment result and generates an instruction; The alarm module sends an alarm or warning to the administrator based on the instruction.

2. The digital motor abnormality data acquisition and diagnosis system according to claim 1, characterized in that: The data acquisition module includes a speed acquisition unit, a temperature acquisition unit, a current acquisition unit, an acceleration acquisition unit, a magnetic field acquisition unit, a microphone acquisition unit and a data aggregation unit, and the speed acquisition unit, the temperature acquisition unit, the current acquisition unit, the acceleration acquisition unit, the magnetic field acquisition unit and the microphone acquisition unit are respectively connected to the data aggregation unit; The speed acquisition unit is used to acquire the speed data of the digital motor in real time; The temperature acquisition unit is used to collect temperature data of the digital motor in real time; The current acquisition unit is used to collect the current data of the digital motor in real time; The acceleration acquisition unit is used to acquire the acceleration data of the digital motor in real time; The magnetic field acquisition unit is used to collect magnetic field data of the digital motor in real time; The microphone collection unit is used to collect noise data of the digital motor in real time; The data summarizing unit is used to summarize the rotation speed data, the temperature data, the current data, the acceleration data, the magnetic field data and the noise data to obtain working data, and transmit the working data to the data processing module.

3. The digital motor abnormality data acquisition and diagnosis system according to claim 1, characterized in that: The data processing module includes a data cleaning unit, a conversion unit and a data extraction unit, and the data cleaning unit, the conversion unit and the data extraction unit are connected in sequence; The data cleaning unit is used to clean the working data; The conversion unit is used to convert the format of the cleaned working data; The data extraction unit is used to extract data from the working data after format conversion to obtain motor status data.

4. The digital motor abnormality data acquisition and diagnosis system according to claim 1, characterized in that: The data visualization module includes a data sorting unit, a report generating unit, a graphic generating unit and a display unit, wherein the report generating unit and the graphic generating unit are respectively connected to the data sorting unit and are respectively connected to the display unit; The data sorting unit is used to sort the motor status data; The report generating unit generates a working report based on the motor status data; The graph generating unit generates a curve graph based on the motor state data; The display unit is used to display the work report and the curve chart.

5. The digital motor abnormality data acquisition and diagnosis system according to claim 1, characterized in that: The threshold judgment module includes a database, a comparison unit and an execution unit, and the database, the comparison unit and the execution unit are connected in sequence; The database is used to store the early warning threshold data and the alarm threshold data of the digital motor; The comparison unit judges and compares the working state data of the digital motor based on the early warning threshold data and the alarm threshold data, and outputs the corresponding judgment result and generates an instruction; The execution unit controls the alarm module based on the instruction.

6. A method for collecting and diagnosing abnormal data of a digital motor, used in the system for collecting and diagnosing abnormal data of a digital motor according to any one of claims 1 to 5, characterized in that: Collecting the working data of the digital motor in real time and transmitting the working data to the data processing module; Processing the working data to obtain motor state data; Generate a working report of the digital motor based on the motor status data and display it; Performing data judgment on the motor state data based on a threshold value, obtaining a judgment result, and generating an instruction; An alarm or warning is issued to an administrator based on the instruction.

7. A digital motor, used in the digital motor abnormality data acquisition and diagnosis system according to any one of claims 1 to 5, characterized in that: The invention comprises a motor body, a power connection box and a sensor box. The power connection box is installed on one side of the motor body. The sensor box is installed on one side of the motor body and connected to the power connection box.

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