Data Acquisition System Application

本文介绍了数据采集的各种方法和技术,从简单的笔纸记录到复杂的自动化系统。探讨了不同设备如扫描数字万用表、条形图记录仪及数据记录器等的优缺点,并指导如何选择最适合需求的数据采集方案。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

Engineers often must monitor a handful of signals over extended periods of time, and then graph and analyze the resulting data. The need to monitor, record and analyze data arises in a wide range of applications, including the design-verification stage of product development, environmental chamber monitoring, component inspection, benchtop testing and process trouble-shooting. This application note describes the various methods and devices you can use to acquire, record and analyze data, from the simple pen-and-paper method to using today's sophisticated data acquisition systems. It discusses the advantages and disadvantages of each method and provides a list of questions that will guide you in selecting the approach that best suits your needs. Introduction In geotechnical engineering, we sometime encounter some difficulties such as monitoring instruments distributed in a large area, dangerous environment of working site that cause some difficulty for easy access. In this case, operators may adopt remote control, by which a large amount of measured data will be transmitted to a observation room where the data are to be collected, stored and processed. The automatic data acquisition control system is able to complete the tasks as regular automatic data monitoring, acquisition and store, featuring high automation, large data store capacity and reliable performance. The system is composed of acquisition control system and display system, with the following features: 1. No. of Channels: 32 ( can be increased or decreased according to user's real needs.) 2. Scanning duration: decided by user, fastest 32 points/second 3. Store capacity: 20G( may be increased or decreased) 4. Display: (a) Table of parameter (b) History tendency (c) Column graphics. 5. Function: real time monitoring control, warning 6. Overall dimension: 50cm×50cm×72cm Data acquisition systems, as the name implies, are products and/or processes used to collect information to document or analyze some phenomenon. In the simplest form, a technician logging the temperature of an oven on a piece of paper is performing data acquisition. As technology has progressed, this type of process has been simplified and made more accurate, versatile, and reliable through electronic equipment. Equipment ranges from simple recorders to sophisticated computer systems. Data acquisition products serve as a focal point in a system, tying together a wide variety of products, such as sensors that indicate temperature, flow, level, or pressure. Some common data acquistion terms are shown below: Data acquisition technology has taken giant leaps forward over the last 30 to 40 years. For example, 40 years ago, in a typical college lab, apparatus for tracking the temperature rise in a crucible of sodiumtungsten- bronze consisted of a thermocouple, a bridge, a lookup table, a pad of paper and a pencil. Today's college students are much more likely to use an automated process and analyze the data on a PC Today, numerous options are available for gathering data. The optimal choice depends on several factors, including the complexity of the task, the speed and accuracy you require, and the documentation you want. Data acquisition systems range from the simple to the complex, with a range of performance and functionality. Pencil and paper The old pencil and paper approach is still viable for some situations, and it is inexpensive, readily available, quick and easy to get started. All you need to do is hook up a digital multimeter (DMM) and begin recording data by hand. Unfortunately, this method is error-prone, tends to be slow and requires extensive manual analysis. In addition, it works only for a single channel of data; while you can use multiple DMMs, the system will quickly becomes bulky and awkward. Accuracy is dependent on the transcriber's level of fastidiousness and you may need to scale input manually. For example, if the DMM is not set up to handle temperature sensors, manual scaling will be required. Taking these limitations into account, this is often an acceptable method when you need to perform a quick experiment. Strip chart recorder Modern versions of the venerable strip chart recorder allow you to capture data from several inputs. They provide a permanent paper record of the data, and because this data is in graphical format, they allow you to easily spot trends. Once set up, most recorders have sufficient internal intelligence to run unattended — without the aid of either an operator or a computer. Drawbacks include a lack of flexibility and relatively low accuracy, which is often constrained to a few percentage points. You can typically perceive only small changes in the pen plots. While recorders perform well when monitoring a few channels over a long period of time, their value can be limited. For example, they are unable to turn another device on or off. Other concerns include pen and paper maintenance, paper supply and data storage, all of which translate into paper overuse and waste. Still, recorders are fairly easy to set up and operate, and offer a permanent record of the data for quick and simple analysis. Scanning digital multimeter Some benchtop DMMs offer an optional scanning capability. A slot in the rear of the instrument accepts a scanner card that can multiplex between multiple inputs, with 8 to 10 channels of mux being fairly common. DMM accuracy and the functionality inherent in the instrument's front panel are retained. Flexibility is limited in that it is not possible to expand beyond the number of channels available in the expansion slot. An external PC usually handles data acquisition and analysis. PC plug-in cards PC plug-in cards are single-board measurement systems that take advantage of the ISA or PCI-bus expansion slots in a PC. They often have reading rates as high as 100,000 readings per second. Counts of 8 to 16 channels are common, and acquired data is stored directly into the computer, where it can then be analyzed. Because the card is essentially part of the computer, it is easy to set up tests. PC cards also are relatively inexpensive, in part, because they rely on the host PC to provide power, the mechanical enclosure and the user interface. Data acquisition options In the downside, PC plug-in cards often have only 12 bits of resolution, so you can't perceive small variations with the input signal. Furthermore, the electrical environment inside a PC tends to be noisy, with high-speed clocks and bus noise radiated throughout. Often, this electrical interference limits the accuracy of the PC plug-in card to that of a handheld DMM .These cards also measure a fairly limited range of dc voltage. To measure other input signals, such as ac voltage, temperature or resistance, you may need some sort of external signal conditioning. Additional concerns include problematic calibration and overall system cost, especially if you need to purchase additional signal conditioning accessories or a PC to accommodate the cards. Taking that into consideration, PC plug-in cards offer an attractive approach to data acquisition if your requirements fall within the capabilities and limitations of the card. Data loggers Data loggers are typically stand-alone instruments that, once they are setup, can measure, record and display data without operator or computer intervention. They can handle multiple inputs, in some instances up to 120 channels. Accuracy rivals that found in standalone bench DMMs, with performance in the 22-bit, 0.004-percent accuracy range. Some data loggers have the ability to scale measurements, check results against user-defined limits, and output signals for control. One advantage of using data loggers is their built-in signal conditioning. Most are able to directly measure a number of different inputs without the need for additional signal conditioning accessories. One channel could be monitoring a thermocouple, another a resistive temperature device (RTD) and still another could be looking at voltage. Thermocouple reference compensation for accurate temperature measurement is typically built into the multiplexer cards. A data logger's built-in intelligence helps you set up the test routine and specify the parameters of each channel. Once you have completed the setup, data loggers can run as standalone devices, much like a recorder. They store data locally in internal memory, which can accommodate 50,000 readings or more. PC connectivity makes it easy to transfer data to your computer for in-depth analysis. Most data loggers are designed for flexibility and simple configuration and operation, and many provide the option of remote site operation via battery packs or other methods. Depending on the A/D converter technique used, certain data loggers take readings at a relatively slow rate, especially compared to many PC plug-in cards. Still, reading speeds of 250 readings/second are not uncommon. Keep in mind that many of the phenomena being monitored are physical in nature — such as temperature, pressure and flow — and change at a fairly slow rate. Additionally, because of a data logger's superior measurement accuracy, multiple readings and averaging are not necessary, as they often are in PC plug-in solutions. Data acquisition front ends Data acquisition front ends are often modular and are typically connected to a PC or controller. They are used in automated test applications for gathering data and for controlling and routing signals in other parts of the test setup. Front end performance can be very high, with speed and accuracy rivaling the best standalone instruments. Data acquisition front ends are implemented in a number of formats, including VXI versions, such as the Agilent E1419A multifunction measurement and control VXI module, and proprietary card cages.. Although front-end cost has been decreasing, these systems can be fairly expensive, and unless you require the high performance they provide, you may find their price to be prohibitive. On the plus side, they do offer considerable flexibility and measurement capability. Data Logger Applications A good, low-cost data logger with moderate channel count (20 - 60 channels) and a relatively slow scan rate is more than sufficient for many of the applications engineers commonly face. Some key applications include: • Product characterization • Thermal profiling of electronic products • Environmental testing; environmental monitoring • Component characterization • Battery testing • Building and computer room monitoring • Process monitoring, evaluation and troubleshooting Conclusion Data acquisition can range from pencil, paper and a measuring device, to a highly sophisticated system of hardware instrumentation and software analysis tools. The first step for users contemplating the purchase of a data acquisition device or system is to determine the tasks at hand and the desired output, and then select the type and scope of equipment that meets their criteria. All of the sophisticated equipment and analysis tools that are available are designed to help users understand the phenomena they are monitoring. The tools are merely a means to an end.
内容概要:本文深入解析了扣子COZE AI编程及其详细应用代码案例,旨在帮助读者理解新一代低门槛智能体开发范式。文章从五个维度展开:关键概念、核心技巧、典型应用场景、详细代码案例分析以及未来发展趋势。首先介绍了扣子COZE的核心概念,如Bot、Workflow、Plugin、Memory和Knowledge。接着分享了意图识别、函数调用链、动态Prompt、渐进式发布及监控可观测等核心技巧。然后列举了企业内部智能客服、电商导购助手、教育领域AI助教和金融行业合规质检等应用场景。最后,通过构建“会议纪要智能助手”的详细代码案例,展示了从需求描述、技术方案、Workflow节点拆解到调试与上线的全过程,并展望了多智能体协作、本地私有部署、Agent2Agent协议、边缘计算插件和实时RAG等未来发展方向。; 适合人群:对AI编程感兴趣的开发者,尤其是希望快速落地AI产品的技术人员。; 使用场景及目标:①学习如何使用扣子COZE构建生产级智能体;②掌握智能体实例、自动化流程、扩展能力和知识库的使用方法;③通过实际案例理解如何实现会议纪要智能助手的功能,包括触发器设置、下载节点、LLM节点Prompt设计、Code节点处理和邮件节点配置。; 阅读建议:本文不仅提供了理论知识,还包含了详细的代码案例,建议读者结合实际业务需求进行实践,逐步掌握扣子COZE的各项功能,并关注其未来的发展趋势。
// HeartbeatController.java package com.ruoyi.dataAcquisition.controller; import io.swagger.v3.oas.annotations.Operation; import io.swagger.v3.oas.annotations.Parameter; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.context.annotation.ComponentScan; import org.springframework.http.ResponseEntity; import org.springframework.web.bind.annotation.*; import java.util.HashMap; import java.util.Map; import java.util.concurrent.ConcurrentHashMap; @RestController @CrossOrigin(origins = "*") @SpringBootApplication(scanBasePackages = "com.ruoyi.dataAcquisition.controller") public class HeartbeatController { private static final ConcurrentHashMap<String, Long> clientStatus = new ConcurrentHashMap<>(); private static final long OFFLINE_THRESHOLD = 90000; @Operation(summary = "心跳上报接口") @GetMapping("/heartbeat") public ResponseEntity<Map<String, Object>> heartbeat( @Parameter(description = "设备唯一标识", required = true) @RequestParam String clientId ) { clientStatus.put(clientId, System.currentTimeMillis()); Map<String, Object> response = new HashMap<>(); response.put("status", "online"); response.put("clientId", clientId); return ResponseEntity.ok(response); } @Operation(summary = "设备状态查询接口") @GetMapping("/client-status") public ResponseEntity<Map<String, Object>> getClientStatus( @Parameter(description = "设备唯一标识", required = true) @RequestParam String clientId ) { Long lastBeat = clientStatus.get(clientId); boolean isOnline = lastBeat != null && (System.currentTimeMillis() - lastBeat) < OFFLINE_THRESHOLD; Map<String, Object> response = new HashMap<>(); response.put("status", isOnline ? "online" : "offline"); response.put("lastHeartbeat", lastBeat); return ResponseEntity.ok(response); } }这是自己创建的包的接口,为什么curl调用报错
03-29
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值