WO2015067078A1 - Intelligent self-learning system for electromechanical equipment - Google Patents
Intelligent self-learning system for electromechanical equipment Download PDFInfo
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- WO2015067078A1 WO2015067078A1 PCT/CN2014/083945 CN2014083945W WO2015067078A1 WO 2015067078 A1 WO2015067078 A1 WO 2015067078A1 CN 2014083945 W CN2014083945 W CN 2014083945W WO 2015067078 A1 WO2015067078 A1 WO 2015067078A1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
- G05B23/0229—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions knowledge based, e.g. expert systems; genetic algorithms
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- the present invention relates to a system for collecting and assisting in analyzing operational information of an electromechanical device.
- An intelligent self-learning system for an electromechanical device connected to an electromechanical device for assisting in analyzing the operation of the electromechanical device, including
- the data acquisition unit is connected with the electromechanical device and collects a plurality of parameters in the operation of the electromechanical device in real time;
- Running a model self-learning system the running model self-learning system is connected with the data collecting unit and establishing a standard running model according to a plurality of parameters in the operation of the electromechanical device and refreshing the standard running model;
- a standard model database is coupled to the running model self-learning system and stores the standard operating model after each refresh.
- the standard running model is refreshed at a set period.
- the data collection unit comprises
- Connecting wires the connecting wires being connected between the power source and the electromechanical device;
- the current transformer is disposed on the connecting wire, and the connecting wire between the current transformer and the power source is provided with a power switch, and the current transformer Providing a contactor on the connecting wire between the electromechanical device and the current transformer collecting current on the connecting wire;
- the input end of the voltage transmitter is connected to the connecting wire, and the voltage transmitter collects a voltage on the connecting wire and outputs a voltage signal;
- the input end of the current transmitter is connected to the output of the current transformer, and the current transmitter converts the current collected by the current transformer into a current signal and Output
- the temperature sensor is connected to the electromechanical device and collects its temperature to output a temperature signal
- the pressure sensor is connected to the electromechanical device and collects the pressure thereof to output a pressure signal
- An arc detector wherein the arc detector is connected to the electromechanical device and detects an arc light therein to output an arc detection signal;
- the logic signal collector is connected to the electromechanical device and collecting its logic signal output;
- A/D converters multiple of the A/Ds described
- the input end of the converter is respectively associated with the voltage transmitter, the current transmitter, the temperature sensor, the pressure sensor, the arc detector, and the logic signal collector Connecting, and respectively performing the voltage signal, the current signal, the temperature signal, the pressure signal, the arc detecting signal, and the logic signal Output after A/D conversion;
- a real-time information storage processing system wherein an input end of the real-time information storage processing system is coupled to an output of the plurality of A/D converters and The A/D converted voltage signal, the current signal, the temperature signal, the pressure signal, the arc detection signal, and the logic signal are processed;
- the operational model self-learning system is coupled to an output of the real-time information storage processing system.
- the data collection unit further comprises a real-time running database in which the input end is connected to the output of the real-time information storage processing system and is used to store operational information of the electromechanical device.
- the data collection unit further includes a power supply unit, the input end of the power supply unit is connected to the power source, and the output end is connected to the A/D.
- the converter, the real-time information storage processing system, and the real-time running database are connected and powered.
- the connecting wire comprises three phase wires and one neutral wire, and the three current wires are provided with the current transformer and the contactor.
- the present invention has the following advantages compared with the prior art: the present invention can collect various information data in the operation of the electromechanical device, and obtain a standard operation model of the electromechanical device based on the collected data. Realize self-learning function, which can provide reference for developers when analyzing the operation and faults of electromechanical equipment, which is helpful for parameter presetting and analysis of electromechanical equipment.
- FIG. 1 is a schematic diagram of the principle of an intelligent self-learning system for an electromechanical device according to the present invention.
- Embodiment 1 Referring to Figure 1
- An electromechanical device intelligent self-learning system connected to an electromechanical device and used to assist in analyzing the operation of the electromechanical device, comprising a data acquisition unit, a running model self-learning system, and a standard model database.
- the data acquisition unit is connected to the electromechanical device and is used to collect a plurality of parameters in the operation of the electromechanical device in real time.
- the data acquisition unit includes a connecting wire, a current transformer CT1-CT3, a voltage transmitter U, and a current transmitter I.
- the connecting wires are connected between the power source and the electromechanical device. It consists of three phase lines and one zero line.
- Current Transformer CT1-CT3 It is set on the connecting wire, and the current transformers are respectively set on the three phase lines, which are respectively CT1-CT3.
- Current transformer K1 is provided on the connecting wire between CT1-CT3 and the power supply.
- a contactor K1 is disposed on the connecting wire between the current transformer and the electromechanical device, and the contactor K1 is disposed on the three phase lines.
- the input of the voltage transmitter U is connected to the connecting conductor.
- Current Transmitter I The input is connected to the output of the current transformers CT1-CT3.
- the temperature sensor T, the pressure sensor P, the arc detector ⁇ , and the logic signal collector L are all connected to the electromechanical device.
- the input terminals of the A/D converter are respectively connected with voltage transmitter U, current transducer I, temperature sensor T, pressure sensor P, arc detector ⁇ , logic signal collector L Connected.
- Real-time information storage processing system input and multiple A/D The outputs of the converters are connected.
- the input of the real-time running database is connected to the output of the real-time information storage processing system.
- the input of the power unit is connected to the power supply, and the output is connected to the A/D.
- the converter, the real-time information storage processing system, and the real-time running database are connected and powered.
- the working process of the above data acquisition unit is as follows: Current transformer CT1-CT3 collects the current on the connecting wire and transmits it to the current transmitter I Medium Transducer I converts the current collected by the current transformer CT1-CT3 into a current signal and outputs it. Voltage Transmitter U Acquires the voltage on the connecting conductor and outputs a voltage signal. Temperature sensor T The temperature of a certain place in the electromechanical device is collected and the temperature signal is output. The pressure sensor P collects pressure at a certain point in the electromechanical device and outputs a pressure signal. Arc detector ⁇ The arc light in the electromechanical device is detected to output an arc detection signal. The logic signal collector L collects and outputs the logic signals in the electromechanical device.
- the converter performs A/D conversion on the voltage signal, the current signal, the temperature signal, the pressure signal, the arc detection signal, and the logic signal, respectively.
- the converted voltage signal, current signal, temperature signal, pressure signal, arc detection signal and logic signal are input into the real-time information storage processing system for processing, and the processed operation information of the electromechanical device is obtained and stored in the real-time running database. .
- the running model self-learning system is connected to the output end of the real-time information storage processing system in the data acquisition unit, which is based on the A/D
- the converted voltage signal, current signal, temperature signal, pressure signal, arc detection signal and logic signal are sent to the real-time information storage processing system to process a plurality of parameters in the operation of the electromechanical device to establish a standard operation model of the electromechanical device, and
- the standard operating model is refreshed according to the set period.
- the standard model database is linked to the running model self-learning system, which stores the standard running model after each refresh.
- the standard operation model can be continuously refreshed within a prescribed period, thereby realizing the self-learning function, and the purpose of accurately setting the operating parameters in advance can be achieved.
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Abstract
An intelligent self-learning system for electromechanical equipment, connected to a piece of electromechanical equipment and used for aiding analysis of operations of the electromechanical equipment, and comprising a data collection unit, an operating model self-learning system, and a standard model database. The data collection unit is connected to the electromechanical equipment and collects in real time multiple parameters of the electromechanical equipment in operation. Connected to the data collection unit, the operating model self-learning system establishes a standard operating model thereof on the basis of the multiple parameters of the electromechanical equipment in operation and refreshes the standard operating model. The standard model database is connected to the operating model self-learning system and stores the standard operating model after each refresh. The intelligent self-learning system for electromechanical equipment is capable of collecting various information and data of the electromechanical equipment in operation and of implementing a self-learning function by acquiring the standard operating model of the electromechanical equipment on the basis of the collected data, thus allowing a reference to be provided to research personnel when analyzing an operating state and a fault of the electromechanical equipment, and facilitating presetting and analysis of parameters for the electromechanical equipment.
Description
技术领域 Technical field
本发明涉及一种采集并辅助分析机电设备的运行信息的系统。 The present invention relates to a system for collecting and assisting in analyzing operational information of an electromechanical device.
背景技术 Background technique
现有的机电设备在运行中出现故障时，通常采用熔断器或空气开关进行保护。由于故障信号不会预先获知，使得此时会造成机电设备非正常停机，尤其是某些特殊设备，如电梯等，其非正常停机会带来很大的不安全因数，故对其进行故障研究具有重要意义。然而，由于机电设备往往并未设置记录监控其运行状况的系统，而故障前的现象又往往不能重现，因此，在研发人员对机电设备进行分析时，面临着较大的困难。同时，现有大部分机电设备虽采用计算机控制，但对复杂的设备而言，其运行参数仍很难预先精确设定。
Existing electromechanical devices are usually protected by fuses or air switches when they fail during operation. Since the fault signal is not known in advance, the electromechanical equipment will be abnormally shut down at this time, especially for some special equipment, such as elevators. The abnormal shutdown will bring a large unsafe factor, so the fault research is carried out. It is of great significance. However, since electromechanical equipment often does not have a system for recording and monitoring its operating conditions, and the phenomenon before the failure is often not reproducible, it is facing great difficulties when the research and development personnel analyze the electromechanical equipment. At the same time, most of the existing electromechanical equipments are computer controlled, but for complex equipment, the operating parameters are still difficult to accurately set in advance.
发明内容 Summary of the invention
本发明的目的是提供一种能够根据机电设备的运行参数而辅助对机电设备进行分析并有益于其参数设定的机电设备智能自学习系统。
It is an object of the present invention to provide an electromechanical device intelligent self-learning system that can assist in the analysis of electromechanical devices and facilitate their parameter settings based on operational parameters of the electromechanical device.
为达到上述目的，本发明采用的技术方案是： In order to achieve the above object, the technical solution adopted by the present invention is:
一种机电设备智能自学习系统，与机电设备相连接用于辅助分析机电设备的运行，其包括 An intelligent self-learning system for an electromechanical device, connected to an electromechanical device for assisting in analyzing the operation of the electromechanical device, including
数据采集单元，所述的数据采集单元与机电设备相连接并实时采集机电设备运行中的多项参数； a data acquisition unit, the data acquisition unit is connected with the electromechanical device and collects a plurality of parameters in the operation of the electromechanical device in real time;
运行模型自学习系统，所述的运行模型自学习系统与所述的数据采集单元相连接并根据机电设备运行中的多项参数建立其标准运行模型并刷新所述的标准运行模型；
Running a model self-learning system, the running model self-learning system is connected with the data collecting unit and establishing a standard running model according to a plurality of parameters in the operation of the electromechanical device and refreshing the standard running model;
标准模型数据库，所述的标准模型数据库与所述的运行模型自学习系统相连接并存储每次刷新后的所述的标准运行模型。
A standard model database, the standard model database is coupled to the running model self-learning system and stores the standard operating model after each refresh.
优选的，所述的运行模型自学习系统中，以设定的周期刷新所述的标准运行模型。 Preferably, in the running model self-learning system, the standard running model is refreshed at a set period.
优选的，所述的数据采集单元包括 Preferably, the data collection unit comprises
连接导线，所述的连接导线连接于电源与机电设备之间； Connecting wires, the connecting wires being connected between the power source and the electromechanical device;
电流互感器，所述的电流互感器设置于所述的连接导线上，所述的电流互感器与所述的电源之间的所述的连接导线上设置有电源开关，所述的电流互感器与机电设备之间的所述的连接导线上设置有接触器，所述的电流互感器采集所述的连接导线上的电流；
a current transformer, the current transformer is disposed on the connecting wire, and the connecting wire between the current transformer and the power source is provided with a power switch, and the current transformer Providing a contactor on the connecting wire between the electromechanical device and the current transformer collecting current on the connecting wire;
电压变送器，所述的电压变送器的输入端与所述的连接导线相连接，所述的电压变送器采集所述的连接导线上的电压并输出电压信号；
a voltage transmitter, the input end of the voltage transmitter is connected to the connecting wire, and the voltage transmitter collects a voltage on the connecting wire and outputs a voltage signal;
电流变送器，所述的电流变送器的输入端与所述的电流互感器的输出端相连接，所述的电流变送器将所述的电流互感器采集的电流转换为电流信号并输出；
a current transmitter, the input end of the current transmitter is connected to the output of the current transformer, and the current transmitter converts the current collected by the current transformer into a current signal and Output
温度传感器，所述的温度传感器与机电设备相连接并采集其温度而输出温度信号； a temperature sensor, the temperature sensor is connected to the electromechanical device and collects its temperature to output a temperature signal;
压力传感器，所述的压力传感器与机电设备相连接并采集其压力而输出压力信号； a pressure sensor, the pressure sensor is connected to the electromechanical device and collects the pressure thereof to output a pressure signal;
弧光探测器，所述的弧光探测器与机电设备相连接并探测其中的弧光而输出弧光探测信号； An arc detector, wherein the arc detector is connected to the electromechanical device and detects an arc light therein to output an arc detection signal;
逻辑信号采集器，所述的逻辑信号采集器与机电设备相连接并采集其逻辑信号输出； a logic signal collector, the logic signal collector is connected to the electromechanical device and collecting its logic signal output;
多个 A/D 转换器，多个所述的 A/D
转换器的输入端分别与所述的电压变送器、所述的电流变送器、所述的温度传感器、所述的压力传感器、所述的弧光探测器、所述的逻辑信号采集器相连接，并分别对所述的电压信号、所述的电流信号、所述的温度信号、所述的压力信号、所述的弧光探测信号和所述的逻辑信号进行
A/D 转换后输出； Multiple A/D converters, multiple of the A/Ds described
The input end of the converter is respectively associated with the voltage transmitter, the current transmitter, the temperature sensor, the pressure sensor, the arc detector, and the logic signal collector Connecting, and respectively performing the voltage signal, the current signal, the temperature signal, the pressure signal, the arc detecting signal, and the logic signal
Output after A/D conversion;
实时信息存储处理系统，所述的实时信息存储处理系统的输入端与多个所述的 A/D 转换器的输出端相连接并对经
A/D 转换后的所述的电压信号、所述的电流信号、所述的温度信号、所述的压力信号、所述的弧光探测信号和所述的逻辑信号进行处理； a real-time information storage processing system, wherein an input end of the real-time information storage processing system is coupled to an output of the plurality of A/D converters and
The A/D converted voltage signal, the current signal, the temperature signal, the pressure signal, the arc detection signal, and the logic signal are processed;
所述的运行模型自学习系统与所述的实时信息存储处理系统的输出端相连接。 The operational model self-learning system is coupled to an output of the real-time information storage processing system.
优选的，所述的数据采集单元还包括输入端与所述的实时信息存储处理系统的输出端相连接并用于存储机电设备的运行信息的实时运行数据库。
Preferably, the data collection unit further comprises a real-time running database in which the input end is connected to the output of the real-time information storage processing system and is used to store operational information of the electromechanical device.
优选的，所述的数据采集单元还包括电源单元，所述的电源单元的输入端与电源相连接，输出端与所述的 A/D
转换器、所述的实时信息存储处理系统、所述的实时运行数据库相连接并供电。 Preferably, the data collection unit further includes a power supply unit, the input end of the power supply unit is connected to the power source, and the output end is connected to the A/D.
The converter, the real-time information storage processing system, and the real-time running database are connected and powered.
优选的，所述的连接导线包括三根相线和一根零线，三根所述的相线上均设置有所述的电流互感器和所述的接触器。
Preferably, the connecting wire comprises three phase wires and one neutral wire, and the three current wires are provided with the current transformer and the contactor.
由于上述技术方案运用，本发明与现有技术相比具有下列优点：本发明能够对机电设备运行中的各项信息数据进行采集，并在所采集数据的基础上获得机电设备的标准运行模型而实现自学习功能，从而能够在分析机电设备的运行状况和故障时，为研发人员提供参考，有利于对机电设备进行参数预设和分析。
Because of the above technical solutions, the present invention has the following advantages compared with the prior art: the present invention can collect various information data in the operation of the electromechanical device, and obtain a standard operation model of the electromechanical device based on the collected data. Realize self-learning function, which can provide reference for developers when analyzing the operation and faults of electromechanical equipment, which is helpful for parameter presetting and analysis of electromechanical equipment.
附图说明 DRAWINGS
附图 1 为本发明的机电设备智能自学习系统的原理示意图。 1 is a schematic diagram of the principle of an intelligent self-learning system for an electromechanical device according to the present invention.
具体实施方式 detailed description
下面结合附图所示的实施例对本发明作进一步描述。 The invention is further described below in conjunction with the embodiments shown in the drawings.
实施例一： 参见附图 1 所示。 Embodiment 1: Referring to Figure 1
一种与机电设备相连接并用于辅助分析机电设备的运行的机电设备智能自学习系统，包括数据采集单元、运行模型自学习系统和标准模型数据库。
An electromechanical device intelligent self-learning system connected to an electromechanical device and used to assist in analyzing the operation of the electromechanical device, comprising a data acquisition unit, a running model self-learning system, and a standard model database.
数据采集单元与机电设备相连接，并用于实时采集机电设备运行中的多项参数。 The data acquisition unit is connected to the electromechanical device and is used to collect a plurality of parameters in the operation of the electromechanical device in real time.
具体的，数据采集单元包括连接导线、电流互感器 CT1-CT3 、电压变送器 U 、电流变送器 I
、温度传感器 T 、压力传感器 P 、弧光探测 器 Λ 、逻辑信号采集器 L 、多个 A/D 转换器、实时信息存储处理系统、实时运行数据库和电源单元。 Specifically, the data acquisition unit includes a connecting wire, a current transformer CT1-CT3, a voltage transmitter U, and a current transmitter I.
Temperature sensor T, pressure sensor P, arc detector Λ, logic signal collector L, multiple A/D converters, real-time information storage processing system, real-time running database and power supply unit.
连接导线连接于电源与机电设备之间。其包括三根相线和一根零线。电流互感器 CT1-CT3
设置于连接导线上，三根相线上均设置有电流互感器，分别为 CT1-CT3 。电流互感器 CT1-CT3 与电源之间的连接导线上设置有电源开关 KF1
，电流互感器与机电设备之间的连接导线上设置有接触器 K1 ，三根相线上均设置有接触器 K1 。电压变送器 U 的输入端与连接导线相连接。电流变送器 I
的输入端与电流互感器 CT1-CT3 的输出端相连接。温度传感器 T 、压力传感器 P 、弧光探测器 Λ 、逻辑信号采集器 L 均与机电设备相连接。多个
A/D 转换器的输入端分别与电压变送器 U 、电流变送器 I 、温度传感器 T 、压力传感器 P 、弧光探测器 Λ 、逻辑信号采集器 L
相连接。实时信息存储处理系统的输入端与多个 A/D
转换器的输出端相连接。实时运行数据库的输入端与实时信息存储处理系统的输出端相连接。电源单元的输入端与电源相连接，输出端与 A/D
转换器、实时信息存储处理系统、实时运行数据库相连接并供电。 The connecting wires are connected between the power source and the electromechanical device. It consists of three phase lines and one zero line. Current Transformer CT1-CT3
It is set on the connecting wire, and the current transformers are respectively set on the three phase lines, which are respectively CT1-CT3. Current transformer K1 is provided on the connecting wire between CT1-CT3 and the power supply.
A contactor K1 is disposed on the connecting wire between the current transformer and the electromechanical device, and the contactor K1 is disposed on the three phase lines. The input of the voltage transmitter U is connected to the connecting conductor. Current Transmitter I
The input is connected to the output of the current transformers CT1-CT3. The temperature sensor T, the pressure sensor P, the arc detector Λ, and the logic signal collector L are all connected to the electromechanical device. Multiple
The input terminals of the A/D converter are respectively connected with voltage transmitter U, current transducer I, temperature sensor T, pressure sensor P, arc detector Λ, logic signal collector L
Connected. Real-time information storage processing system input and multiple A/D
The outputs of the converters are connected. The input of the real-time running database is connected to the output of the real-time information storage processing system. The input of the power unit is connected to the power supply, and the output is connected to the A/D.
The converter, the real-time information storage processing system, and the real-time running database are connected and powered.
上述数据采集单元的工作过程如下：电流互感器 CT1-CT3 采集连接导线上的电流，并传输至电流变送器 I
中，电流变送器 I 将电流互感器 CT1-CT3 采集的电流转换为电流信号并输出。电压变送器 U 采集连接导线上的电压并输出电压信号。温度传感器 T
采集机电设备中某处的温度而输出温度信号。压力传感器 P 采集机电设备中某处的压力而输出压力信号。弧光探测器 Λ
探测机电设备中的弧光而输出弧光探测信号。逻辑信号采集器 L 采集机电设备中的逻辑信号并输出。各个 A/D
转换器分别对电压信号、电流信号、温度信号、压力信号、弧光探测信号和逻辑信号进行 A/D 转换后输出。经 A/D
转换后的电压信号、电流信号、温度信号、压力信号、弧光探测信号和逻辑信号输入到实时信息存储处理系统中进行处理，处理后的获得机电设备的各项运行信息并存储到实时运行数据库中。 The working process of the above data acquisition unit is as follows: Current transformer CT1-CT3 collects the current on the connecting wire and transmits it to the current transmitter I
Medium Transducer I converts the current collected by the current transformer CT1-CT3 into a current signal and outputs it. Voltage Transmitter U Acquires the voltage on the connecting conductor and outputs a voltage signal. Temperature sensor T
The temperature of a certain place in the electromechanical device is collected and the temperature signal is output. The pressure sensor P collects pressure at a certain point in the electromechanical device and outputs a pressure signal. Arc detector Λ
The arc light in the electromechanical device is detected to output an arc detection signal. The logic signal collector L collects and outputs the logic signals in the electromechanical device. Individual A/D
The converter performs A/D conversion on the voltage signal, the current signal, the temperature signal, the pressure signal, the arc detection signal, and the logic signal, respectively. By A/D
The converted voltage signal, current signal, temperature signal, pressure signal, arc detection signal and logic signal are input into the real-time information storage processing system for processing, and the processed operation information of the electromechanical device is obtained and stored in the real-time running database. .
运行模型自学习系统与数据采集单元中实时信息存储处理系统的输出端相连接，其根据将 A/D
转换后的电压信号、电流信号、温度信号、压力信号、弧光探测信号和逻辑信号送入实时信息存储处理系统进行处理后获得的机电设备运行中的多项参数建立机电设备的标准运行模型，并根据所设定的周期刷新标准运行模型。 The running model self-learning system is connected to the output end of the real-time information storage processing system in the data acquisition unit, which is based on the A/D
The converted voltage signal, current signal, temperature signal, pressure signal, arc detection signal and logic signal are sent to the real-time information storage processing system to process a plurality of parameters in the operation of the electromechanical device to establish a standard operation model of the electromechanical device, and The standard operating model is refreshed according to the set period.
标准模型数据库与运行模型自学习系统相连接，其将每次刷新后的标准运行模型存储起来。 The standard model database is linked to the running model self-learning system, which stores the standard running model after each refresh.
通过上述机电设备智能自学习系统可以在规定周期内不断刷新标准运行模型，从而实现自学习功能，达到可以预先精确设定运行参数的目的。
Through the above-mentioned electromechanical intelligent self-learning system, the standard operation model can be continuously refreshed within a prescribed period, thereby realizing the self-learning function, and the purpose of accurately setting the operating parameters in advance can be achieved.
上述实施例只为说明本发明的技术构思及特点，其目的在于让熟悉此项技术的人士能够了解本发明的内容并据以实施，并不能以此限制本发明的保护范围。凡根据本发明精神实质所作的等效变化或修饰，都应涵盖在本发明的保护范围之内。
The above embodiments are merely illustrative of the technical concept and the features of the present invention, and the purpose of the present invention is to enable those skilled in the art to understand the present invention and to implement the present invention, and the scope of the present invention is not limited thereto. Equivalent variations or modifications made in accordance with the spirit of the invention are intended to be included within the scope of the invention.
Claims (1)
1 、
一种机电设备智能自学习系统，与机电设备相连接用于辅助分析机电设备的运行，其特征在于：包括 1 . An intelligent self-learning system for electromechanical equipment, connected to an electromechanical device for assisting in analyzing the operation of the electromechanical device, characterized in that:
数据采集单元，所述的数据采集单元与机电设备相连接并实时采集机电设备运行中的多项参数；a data acquisition unit, the data acquisition unit is connected with the electromechanical device and collects a plurality of parameters in the operation of the electromechanical device in real time;
运行模型自学习系统，所述的运行模型自学习系统与所述的数据采集单元相连接并根据机电设备运行中的多项参数建立其标准运行模型并刷新所述的标准运行模型；Running a model self-learning system, the running model self-learning system is connected with the data collecting unit and establishing a standard running model according to a plurality of parameters in the operation of the electromechanical device and refreshing the standard running model;
标准模型数据库，所述的标准模型数据库与所述的运行模型自学习系统相连接并存储每次刷新后的所述的标准运行模型。A standard model database, the standard model database is coupled to the running model self-learning system and stores the standard operating model after each refresh.
2 、 根据权利要求 1
所述的机电设备智能自学习系统，其特征在于：所述的运行模型自学习系统中，以设定的周期刷新所述的标准运行模型。 2. The electromechanical device intelligent self-learning system according to claim 1, wherein: in the running model self-learning system, the standard running model is refreshed at a set period.
3 、 根据权利要求 1 或 2
所述的机电设备智能自学习系统，其特征在于：所述的数据采集单元包括 3. The electromechanical device intelligent self-learning system according to claim 1 or 2, wherein the data acquisition unit comprises
连接导线，所述的连接导线连接于电源与机电设备之间；Connecting wires, the connecting wires being connected between the power source and the electromechanical device;
电流互感器，所述的电流互感器设置于所述的连接导线上，所述的电流互感器与所述的电源之间的所述的连接导线上设置有电源开关，所述的电流互感器与机电设备之间的所述的连接导线上设置有接触器，所述的电流互感器采集所述的连接导线上的电流；a current transformer, the current transformer is disposed on the connecting wire, and the connecting wire between the current transformer and the power source is provided with a power switch, and the current transformer Providing a contactor on the connecting wire between the electromechanical device and the current transformer collecting current on the connecting wire;
电压变送器，所述的电压变送器的输入端与所述的连接导线相连接，所述的电压变送器采集所述的连接导线上的电压并输出电压信号；a voltage transmitter, the input end of the voltage transmitter is connected to the connecting wire, and the voltage transmitter collects a voltage on the connecting wire and outputs a voltage signal;
电流变送器，所述的电流变送器的输入端与所述的电流互感器的输出端相连接，所述的电流变送器将所述的电流互感器采集的电流转换为电流信号并输出；a current transmitter, the input end of the current transmitter is connected to the output of the current transformer, and the current transmitter converts the current collected by the current transformer into a current signal and Output
温度传感器，所述的温度传感器与机电设备相连接并采集其温度而输出温度信号；a temperature sensor, the temperature sensor is connected to the electromechanical device and collects its temperature to output a temperature signal;
压力传感器，所述的压力传感器与机电设备相连接并采集其压力而输出压力信号；a pressure sensor, the pressure sensor is connected to the electromechanical device and collects the pressure thereof to output a pressure signal;
弧光探测器，所述的弧光探测器与机电设备相连接并探测其中的弧光而输出弧光探测信号；An arc detector, wherein the arc detector is connected to the electromechanical device and detects an arc light therein to output an arc detection signal;
逻辑信号采集器，所述的逻辑信号采集器与机电设备相连接并采集其逻辑信号输出；a logic signal collector, the logic signal collector is connected to the electromechanical device and collecting its logic signal output;
多个 A/D 转换器，多个所述的 A/D
转换器的输入端分别与所述的电压变送器、所述的电流变送器、所述的温度传感器、所述的压力传感器、所述的弧光探测器、所述的逻辑信号采集器相连接，并分别对所述的电压信号、所述的电流信号、所述的温度信号、所述的压力信号、所述的弧光探测信号和所述的逻辑信号进行
A/D 转换后输出；及Multiple A/D converters, multiple of the A/Ds described
The input end of the converter is respectively associated with the voltage transmitter, the current transmitter, the temperature sensor, the pressure sensor, the arc detector, and the logic signal collector Connecting, and respectively performing the voltage signal, the current signal, the temperature signal, the pressure signal, the arc detecting signal, and the logic signal
Output after A/D conversion; and
实时信息存储处理系统，所述的实时信息存储处理系统的输入端与多个所述的 A/D 转换器的输出端相连接并对经 A/D
转换后的所述的电压信号、所述的电流信号、所述的温度信号、所述的压力信号、所述的弧光探测信号和所述的逻辑信号进行处理；a real-time information storage processing system, wherein an input end of the real-time information storage processing system is connected to an output of a plurality of said A/D converters and is subjected to A/D
Converting the voltage signal, the current signal, the temperature signal, the pressure signal, the arc detecting signal and the logic signal to be processed;
所述的运行模型自学习系统与所述的实时信息存储处理系统的输出端相连接。The operational model self-learning system is coupled to an output of the real-time information storage processing system.
4 、 根据权利要求 3
所述的机电设备智能自学习系统，其特征在于：所述的数据采集单元还包括实时运行数据库，所述实时运行数据库的输入端与所述的实时信息存储处理系统的输出端相连接，并用于存储机电设备的运行信息。 4. The electromechanical device intelligent self-learning system according to claim 3, wherein the data collection unit further comprises a real-time running database, the input end of the real-time running database and the real-time information storage processing system The outputs are connected and used to store operational information of the electromechanical device.
5 、 根据权利要求 3
所述的机电设备智能自学习系统，其特征在于：所述的数据采集单元还包括电源单元，所述的电源单元的输入端与电源相连接，输出端与所述的 A/D
转换器、所述的实时信息存储处理系统、所述的实时运行数据库相连接并供电。 5, electromechanical apparatus according to claim intelligent self-learning system according to claim 3, characterized in that: said data collection unit further comprises a power supply unit, the input of the power supply unit is connected to the power supply, the output terminal and the The A/D converter, the real-time information storage processing system, and the real-time running database are connected and powered.
6 、 根据权利要求 3
所述的机电设备智能自学习系统，其特征在于：所述的连接导线包括三根相线和一根零线，所述的三根相线上均设置有所述的电流互感器和所述的接触器。 6, electromechanical apparatus according to claim intelligent self-learning system of claim 3, wherein: said connecting conductor comprises three-phase line and a zero line, the three-phase lines are provided with a current transformer according to And the contactor described.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106672725A (en) * | 2016-12-31 | 2017-05-17 | 上海新时达电气股份有限公司 | Port self-learning method of portal crane frequency converter and portal crane frequency converter |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103578156A (en) * | 2013-11-08 | 2014-02-12 | 苏州康开电气有限公司 | Intelligent information acquisition system of electromechanical equipment |
| CN103578336A (en) * | 2013-11-08 | 2014-02-12 | 苏州康开电气有限公司 | Intelligent self-learning system for electromechanical equipment |
| CN105223892A (en) * | 2015-10-29 | 2016-01-06 | 苏州康开电气有限公司 | Intelligent transformer |
| CN109326163A (en) * | 2018-10-19 | 2019-02-12 | 中铁第四勘察设计院集团有限公司 | A kind of pantograph maintenance training system and its Training Methodology based on analog simulation |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6883120B1 (en) * | 1999-12-03 | 2005-04-19 | Network Appliance, Inc. | Computer assisted automatic error detection and diagnosis of file servers |
| CN1616204A (en) * | 2003-11-12 | 2005-05-18 | 青岛高校软控股份有限公司 | Fault monitoring and expert system for rubber banburying producing process and its using method |
| CN1651613A (en) * | 2004-12-24 | 2005-08-10 | 北京南山高科技有限公司 | Control method of carbon anode roasting production system |
| CN102510125A (en) * | 2011-09-28 | 2012-06-20 | 天津科林电气有限公司 | Method and device for monitoring operation conditions of power primary equipment |
| CN103064340A (en) * | 2011-10-21 | 2013-04-24 | 沈阳高精数控技术有限公司 | Failure prediction method facing to numerically-controlled machine tool |
| CN103331310A (en) * | 2013-07-13 | 2013-10-02 | 吉林大学 | Magnesium alloy plate rolling parameter monitoring and fault diagnosing system and method |
| CN103578336A (en) * | 2013-11-08 | 2014-02-12 | 苏州康开电气有限公司 | Intelligent self-learning system for electromechanical equipment |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7467067B2 (en) * | 2006-09-27 | 2008-12-16 | Integrien Corporation | Self-learning integrity management system and related methods |
| CN201263082Y (en) * | 2008-09-04 | 2009-06-24 | 西安理工大学 | Apparatus for monitoring and analyzing generator excitation system state |
| CN102707232B (en) * | 2012-06-01 | 2015-10-07 | 深圳市海亿达能源科技股份有限公司 | Motor apparatus state on_line monitoring device and monitoring method thereof |
-
2013
- 2013-11-08 CN CN201310549903.0A patent/CN103578336A/en active Pending
-
2014
- 2014-08-08 WO PCT/CN2014/083945 patent/WO2015067078A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6883120B1 (en) * | 1999-12-03 | 2005-04-19 | Network Appliance, Inc. | Computer assisted automatic error detection and diagnosis of file servers |
| CN1616204A (en) * | 2003-11-12 | 2005-05-18 | 青岛高校软控股份有限公司 | Fault monitoring and expert system for rubber banburying producing process and its using method |
| CN1651613A (en) * | 2004-12-24 | 2005-08-10 | 北京南山高科技有限公司 | Control method of carbon anode roasting production system |
| CN102510125A (en) * | 2011-09-28 | 2012-06-20 | 天津科林电气有限公司 | Method and device for monitoring operation conditions of power primary equipment |
| CN103064340A (en) * | 2011-10-21 | 2013-04-24 | 沈阳高精数控技术有限公司 | Failure prediction method facing to numerically-controlled machine tool |
| CN103331310A (en) * | 2013-07-13 | 2013-10-02 | 吉林大学 | Magnesium alloy plate rolling parameter monitoring and fault diagnosing system and method |
| CN103578336A (en) * | 2013-11-08 | 2014-02-12 | 苏州康开电气有限公司 | Intelligent self-learning system for electromechanical equipment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106672725A (en) * | 2016-12-31 | 2017-05-17 | 上海新时达电气股份有限公司 | Port self-learning method of portal crane frequency converter and portal crane frequency converter |
| CN106672725B (en) * | 2016-12-31 | 2018-08-28 | 上海新时达电气股份有限公司 | The port self-learning method and its door-inverter of door-inverter |
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|---|---|
| CN103578336A (en) | 2014-02-12 |
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