CN205301926U - Embedded high -speed water pump vibrations data acquisition system based on DSP - Google Patents
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Abstract
Description
技术领域 technical field
本实用新型涉及自动化领域,尤其涉及一种基于DSP的嵌入式高速水泵震动数据采集系统。 The utility model relates to the field of automation, in particular to a DSP-based embedded high-speed water pump vibration data acquisition system.
背景技术 Background technique
水泵是输送液体或使液体增压的机械,它将原动机的机械能或其他外部能量传送给液体,使液体能量增加,主要用来输送液体包括水、油、酸碱液、乳化液、悬乳液和液态金属等,也可输送液体、气体混合物以及含悬浮固体物的液体,是供水企业最常见也是最重要的生产设备,其运行状态的好坏直接关系到供水企业的生产安全。水泵属于高速运转的机械装置,其震动状态的正常与否直接反应了设备的运行是否正常。由于水泵的震动状态是一个高速变化的数据量,当前采集监测的方式主要是采用工业计算机配置采集数据卡对安装在水泵上的加速度传感器输出的模拟量进行A/D采样,将采样后的数字化信息进行分析和存储。此方法要求必须在每个水泵机房采集点都配置工业计算机和相应的数据采集卡,采集成本较高且对机房的环境要求较高。二次供水泵房数量巨大且机房环境阴暗潮湿,采用传统方法采集不仅耗资巨大且采集设备运行稳定性得不到保障。因此亟需一种成本低廉、运行可靠的高速震动数据采集系统来对供水企业水泵震动数据进行有效、可靠的采集、监测。 A water pump is a machine that transports or pressurizes a liquid. It transmits the mechanical energy of the prime mover or other external energy to the liquid to increase the energy of the liquid. It is mainly used to transport liquids including water, oil, acid and alkali, emulsions, and suspoemulsions. It can also transport liquids, gas mixtures and liquids containing suspended solids. It is the most common and important production equipment in water supply enterprises. The quality of its operation is directly related to the production safety of water supply enterprises. The water pump is a high-speed mechanical device, and whether its vibration state is normal or not directly reflects whether the equipment is running normally. Since the vibration state of the water pump is a rapidly changing amount of data, the current acquisition and monitoring method is mainly to use an industrial computer to configure the acquisition data card to perform A/D sampling on the analog output of the acceleration sensor installed on the water pump, and digitize the sampled data. Information is analyzed and stored. This method requires that industrial computers and corresponding data acquisition cards must be configured at each collection point of the water pump room, and the acquisition cost is high and the environmental requirements of the machine room are relatively high. The number of secondary water supply pump rooms is huge, and the environment of the computer room is dark and humid. Using traditional methods to collect water not only costs a lot, but also the operation stability of the collection equipment cannot be guaranteed. Therefore, there is an urgent need for a low-cost, reliable high-speed vibration data acquisition system to effectively and reliably collect and monitor the vibration data of water pumps in water supply enterprises.
实用新型内容 Utility model content
有鉴于此,本实用新型提供一种基于DSP的嵌入式高速水泵震动数据采集系统,以解决上述问题。 In view of this, the utility model provides a DSP-based embedded high-speed water pump vibration data acquisition system to solve the above problems.
本实用新型提供的基于DSP的嵌入式高速水泵震动数据采集系统,包括设置于水泵的采集单元、用于数据通信的通信单元以及服务器; The DSP-based embedded high-speed water pump vibration data acquisition system provided by the utility model includes an acquisition unit arranged on the water pump, a communication unit for data communication, and a server;
所述采集单元包括采集水泵震动数据的加速度震动传感器,与加速度震动传感器连接的用于对传感器采集的数据进行采集的高速采集模块; The acquisition unit includes an acceleration vibration sensor for collecting vibration data of the water pump, and a high-speed acquisition module connected to the acceleration vibration sensor for collecting data collected by the sensor;
所述采集模块的输出端与数据处理模块的输入端连接,所述数据处理模块与通信模块连接,所述通信模块与服务器连接。 The output end of the acquisition module is connected to the input end of the data processing module, the data processing module is connected to the communication module, and the communication module is connected to the server.
进一步,所述服务器包括用于进行数据存储的存储模块、用于分析并获取每台水泵的运行震动曲线的分析模块以及用于将运行震动曲线与预设的经验曲线进行对比,判断水泵的运行状态是否正常的判断模块。 Further, the server includes a storage module for data storage, an analysis module for analyzing and obtaining the operating vibration curve of each water pump, and comparing the operating vibration curve with a preset experience curve to judge whether the water pump is running The judging module whether the state is normal or not.
进一步,所述高速采集模块包括用于进行采样和模数转换后获取数字信号的模数转换采样子模块、用于对所述数字信号进行处理的前端处理子模块和用于传输数字信号的传输接口子模块,所述模数转换采样子模块与前端处理子模块连接,前端处理子模块与传输接口子模块连接。 Further, the high-speed acquisition module includes an analog-to-digital conversion sampling sub-module for sampling and obtaining digital signals after analog-to-digital conversion, a front-end processing sub-module for processing the digital signals, and a transmission for transmitting digital signals An interface sub-module, the analog-to-digital conversion sampling sub-module is connected to the front-end processing sub-module, and the front-end processing sub-module is connected to the transmission interface sub-module.
进一步,还包括用于根据判断模块的判断结果对水泵的故障缺陷提供预先报警的预警模块。 Further, it also includes an early-warning module for providing an early-alarm for the failure defect of the water pump according to the judgment result of the judging module.
进一步,所述通信单元包括无线通信模块和与无线通信模块连接的用于将数据进行现场存储的现场集中器,所述传输接口子模块与现场集中器连接。 Further, the communication unit includes a wireless communication module and a site concentrator connected to the wireless communication module for storing data on site, and the transmission interface sub-module is connected to the site concentrator.
进一步,所述加速度震动传感器和与加速度震动传感器连接的高速采集模块的数量为多个,所述现场集中器设置于每个水泵机房内,每个水泵机房内的多个加速度震动传感器和高速采集模块分别与对应机房内的现场集中器连接。 Further, the number of the acceleration vibration sensor and the high-speed acquisition module connected with the acceleration vibration sensor is multiple, the field concentrator is arranged in each water pump machine room, and the multiple acceleration vibration sensors and high-speed acquisition modules in each water pump machine room The modules are respectively connected to the field concentrators in the corresponding computer room.
进一步,所述无线通信模块包括GPRS、3G或4G模块。 Further, the wireless communication module includes a GPRS, 3G or 4G module.
进一步,还包括用于与外部设备对接的外部接口单元。 Further, an external interface unit for connecting with external equipment is also included.
本实用新型的有益效果:本实用新型与传统的工控机加采集卡的方式相比,无须每个水泵机房采集点都配置工业计算机和相应的数据采集卡,具有处理速度快、灵活、精确、体积小的优点,通过高速数字信号处理器,受环境因素影响小,可靠性得到提高,本实用新型成本低廉、工作效率高,可以大大提高水泵群运行的可靠性,做到水泵故障预先察觉,提高水泵维护维修计划性,避免因为水泵突然发生故障而产生的生产损失。同时应用该系统对水泵震动数据进行监测可以大大降低水泵震动监测的成本,提高供水生产的效益。 Beneficial effects of the utility model: Compared with the traditional industrial computer plus acquisition card, the utility model does not need to configure industrial computers and corresponding data acquisition cards in each water pump room acquisition point, and has the advantages of fast processing speed, flexibility, accuracy, The advantage of small size, through the high-speed digital signal processor, is less affected by environmental factors, and the reliability is improved. The utility model is low in cost and high in work efficiency, and can greatly improve the reliability of the operation of the water pump group, so that the failure of the water pump can be detected in advance. Improve the planning of water pump maintenance and repair, and avoid production loss due to sudden failure of water pumps. At the same time, applying the system to monitor the vibration data of the water pump can greatly reduce the cost of water pump vibration monitoring and improve the efficiency of water supply production.
附图说明 Description of drawings
下面结合附图和实施例对本实用新型作进一步描述: Below in conjunction with accompanying drawing and embodiment the utility model is further described:
图1是本实用新型的原理示意图。 Fig. 1 is a schematic diagram of the principle of the utility model.
具体实施方式 detailed description
下面结合附图和实施例对本实用新型作进一步描述:图1是本实用新型的原理示意图。 Below in conjunction with accompanying drawing and embodiment the utility model is described further: Fig. 1 is the schematic diagram of principle of the utility model.
如图1所示,本实施例中的基于DSP的嵌入式高速水泵震动数据采集系统,包括设置于水泵的采集单元、用于数据通信的通信单元以及服务器;所述采集单元包括采集水泵震动数据的加速度震动传感器,与加速度震动传感器连接的用于对传感器采集的数据进行采集的高速采集模块;所述采集模块的输出端与数据处理模块的输入端连接,所述数据处理模块与通信模块连接,所述通信模块与服务器连接。本实施例中的基于DSP的嵌入式高速水泵震动数据采集系统可以用于多个水泵机房,通过设置于每个水泵机房的多个水泵设备的加速度震动传感器和高速采集模块进行数据采集。 As shown in Figure 1, the DSP-based embedded high-speed water pump vibration data acquisition system in the present embodiment includes an acquisition unit arranged on the water pump, a communication unit and a server for data communication; The acceleration vibration sensor, the high-speed acquisition module used to collect the data collected by the sensor connected with the acceleration vibration sensor; the output end of the acquisition module is connected with the input end of the data processing module, and the data processing module is connected with the communication module , the communication module is connected to the server. The DSP-based embedded high-speed water pump vibration data acquisition system in this embodiment can be used in multiple water pump machine rooms, and collect data through the acceleration vibration sensors and high-speed acquisition modules of multiple water pump equipment installed in each water pump machine room.
在本实施例中,通过采集单元采集水泵震动传感器传来的模拟量信号,并将此模拟量信号进行采样和模数转换后得到数字量信号,得到有效数据。本实施例中的基于DSP的嵌入式高速水泵震动数据采集系统的前端采集设备为嵌入式DSP高速采集模块。与传统的工控机加采集卡的方式相比,成本大幅度降低。通过嵌入式DSP高速采集模块因为采用专业的高速数字信号处理器(DSP),与传统的工控机加采集卡的方式相比,受环境因素影响小,可靠性得到提高。 In this embodiment, the analog signal transmitted from the vibration sensor of the water pump is collected by the acquisition unit, and the analog signal is sampled and converted from analog to digital to obtain a digital signal and obtain valid data. The front-end acquisition device of the DSP-based embedded high-speed water pump vibration data acquisition system in this embodiment is an embedded DSP high-speed acquisition module. Compared with the traditional method of industrial computer plus acquisition card, the cost is greatly reduced. The embedded DSP high-speed acquisition module uses a professional high-speed digital signal processor (DSP), compared with the traditional industrial computer plus acquisition card, it is less affected by environmental factors and its reliability is improved.
在本实施例中,服务器包括用于进行数据存储的存储模块、用于分析并获取每台水泵的运行震动曲线的分析模块以及用于将运行震动曲线与预设的经验曲线进行对比,判断水泵的运行状态是否正常的判断模块。在本实施例中通过服务器对前端各个水泵的震动数据进行存储、分析得到每台水泵的运行震动曲线,通过与专家数据库中的经验曲线进行对比得出水泵的运行状态是否正常的判断信息,从而对水泵的故障缺陷提供预先报警。通过这样的水泵震动数据采集、分析,可以大大提高水泵群运行的可靠性,做到水泵故障预先察觉,提高水泵维护维修计划性,避免因为水泵突然发生故障而产生的生产损失。同时应用该系统对水泵震动数据进行监测可以大大降低水泵震动监测的成本,提高供水生产的效益。 In this embodiment, the server includes a storage module for data storage, an analysis module for analyzing and obtaining the operation vibration curve of each water pump, and a comparison module for comparing the operation vibration curve with a preset experience curve to determine whether the water pump The judging module of whether the running state of the system is normal. In this embodiment, the vibration data of each water pump at the front end is stored and analyzed by the server to obtain the operating vibration curve of each water pump, and the judgment information of whether the operating state of the water pump is normal is obtained by comparing it with the experience curve in the expert database. Provide early warning of pump failure defects. Through the collection and analysis of such water pump vibration data, the reliability of the operation of the water pump group can be greatly improved, the failure of the water pump can be detected in advance, the planning of maintenance and repair of the water pump can be improved, and the production loss caused by the sudden failure of the water pump can be avoided. At the same time, applying the system to monitor the vibration data of the water pump can greatly reduce the cost of water pump vibration monitoring and improve the efficiency of water supply production.
在本实施例中,高速采集模块包括用于进行采样和模数转换后获取数字信号的模数转换采样子模块、用于对所述数字信号进行处理的前端处理子模块和用于传输数字信号的传输接口子模块,所述模数转换采样子模块与前端处理子模块连接,前端处理子模块与传输接口子模块连接。通过A/D采样子模块将接收水泵震动传感器传来的模拟量信号并将此模拟量信号进行采样和模数转换后得到数字量信号。通过前端处理子模块将A/D采样子模块传输的数字量信号进行滤波、前端处理,得到有效数据。通过传输接口子模块将数字化的震动数据通过各种传输方式传输到现场采集器。 In this embodiment, the high-speed acquisition module includes an analog-to-digital conversion sampling sub-module for sampling and obtaining digital signals after analog-to-digital conversion, a front-end processing sub-module for processing the digital signals, and a front-end processing sub-module for transmitting digital signals The transmission interface sub-module, the analog-to-digital conversion sampling sub-module is connected to the front-end processing sub-module, and the front-end processing sub-module is connected to the transmission interface sub-module. The A/D sampling sub-module will receive the analog signal from the water pump vibration sensor and sample and convert the analog signal to obtain a digital signal. The digital signal transmitted by the A/D sampling sub-module is filtered and front-end processed by the front-end processing sub-module to obtain effective data. Through the transmission interface sub-module, the digitized vibration data is transmitted to the field collector through various transmission methods.
在本实施例中,还包括用于根据判断模块的判断结果对水泵的故障缺陷提供预先报警的预警模块,通过与专家数据库中的经验曲线进行对比得出水泵的运行状态是否正常的判断信息,通过预警模块对水泵的故障缺陷提供预先报警。 In this embodiment, it also includes an early warning module for providing a pre-alarm to the fault defect of the water pump according to the judgment result of the judgment module, and obtains judgment information on whether the operating state of the water pump is normal by comparing it with the experience curve in the expert database. The early warning module provides an early warning for the fault defect of the water pump.
在本实施例中,通信单元包括无线通信模块和与无线通信模块连接的用于将数据进行现场存储的现场集中器,所述传输接口子模块与现场集中器连接。现场集中器通过网络。 In this embodiment, the communication unit includes a wireless communication module and a site concentrator connected to the wireless communication module for storing data on site, and the transmission interface sub-module is connected to the site concentrator. The field concentrator is connected via the network.
在本实施例中,所述加速度震动传感器和与加速度震动传感器连接的高速采集模块的数量为多个,所述现场集中器设置于每个水泵机房内,每个水泵机房内的多个加速度震动传感器和高速采集模块分别与对应机房内的现场集中器连接。如图1所示,本实施例可以应用于多个水泵机房以及设置于每个水泵机房的多个水泵设备,通过现场集中器对数字化数据进行现场存储后上传至后台中心服务器,无线通信模块包括GPRS、3G或4G模块等远距离无线传输模块,也可以根据现场的实际情况,选择WIFI、有线以太网、ZIGBEE、蓝牙等方式进行现场集中器与传输接口子模块之间的通信。现场集中器在存储数据的同时将数据通过无线通信模块传输到位于监测中心的后台中心服务器进行存储、显示、分析、报警。优选地,可以通过移动终端与服务器连接,对检测的结果进行显示、查询和报警接收,移动终端可以选用安装有相应APP程序的智能手机或平板电脑等移动设备,用户可以通过服务器进行登陆,对监控检测的结果进行查询,为了确保数据的安全,服务器可以设置鉴权单元,通过鉴权单元对操作的用户进行权限管理,服务器可以通过预警模块向用户的手机发送带有预警信息的短信或语音呼叫,使用户能够第一时间获取预警信息,及时做出应对,提高了工作效率。 In this embodiment, the number of the acceleration vibration sensor and the high-speed acquisition module connected with the acceleration vibration sensor is multiple, the field concentrator is arranged in each water pump machine room, and multiple acceleration vibration sensors in each water pump machine room The sensor and the high-speed acquisition module are respectively connected to the field concentrator in the corresponding computer room. As shown in Figure 1, this embodiment can be applied to multiple water pump rooms and multiple water pump equipment arranged in each water pump room, and the digital data is stored on-site through the field concentrator and then uploaded to the background central server. The wireless communication module includes Long-distance wireless transmission modules such as GPRS, 3G or 4G modules can also choose WIFI, wired Ethernet, ZIGBEE, Bluetooth, etc. to communicate between the field concentrator and the transmission interface sub-module according to the actual situation of the site. While storing data, the field concentrator transmits the data to the background central server located in the monitoring center through the wireless communication module for storage, display, analysis and alarm. Preferably, the mobile terminal can be connected to the server to display, inquire and receive an alarm for the detected results. The mobile terminal can be equipped with a mobile device such as a smart phone or a tablet computer with a corresponding APP program, and the user can log in through the server. Query the results of monitoring and detection. In order to ensure the security of data, the server can set up an authentication unit to manage the rights of the operating users through the authentication unit. The server can send a short message or voice message with early warning information to the user's mobile phone through the early warning module. Call, so that users can get the early warning information at the first time, respond in time, and improve work efficiency.
在本实施例中,还包括用于与外部设备对接的外部接口单元,通过外部接口单元可以实现高速采集模块的外部扩展功能,实现与其他设备的对接。 In this embodiment, an external interface unit for connecting with external devices is also included, and the external expansion function of the high-speed acquisition module can be realized through the external interface unit, and the connection with other devices can be realized.
最后说明的是,以上实施例仅用以说明本实用新型的技术方案而非限制,尽管参照较佳实施例对本实用新型进行了详细说明,本领域的普通技术人员应当理解,可以对本实用新型的技术方案进行修改或者等同替换,而不脱离本实用新型技术方案的宗旨和范围,其均应涵盖在本实用新型的权利要求范围当中。 Finally, it is noted that the above embodiments are only used to illustrate the technical solutions of the present utility model without limitation. Although the utility model has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the utility model can be Modifications or equivalent replacements of the technical solutions without departing from the purpose and scope of the technical solutions of the utility model shall be covered by the claims of the utility model.
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- 2016-01-22 CN CN201620064602.8U patent/CN205301926U/en not_active Expired - Lifetime
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