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Merrill Lynch Data Tempo Big Data Analysis Platform is a software product integrating data access, data processing, data mining, data visualization and data application. It adheres to the design concept of "intelligence, interaction, and value-added", provides self-service data exploration and analysis capabilities for enterprise-level users, and provides enterprises with integrated data analysis and application solutions from BI to AI. It provides strong support for the discovery and application of user data value, helps users quickly discover the value of data, and helps enterprises succeed in business!
The tempo platform consists of two sub-products: visual analytics (tempobi) and artificial intelligence (tempoai).
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The system has the following characteristics:
a.Data acquisition.
It is highly versatile. It is possible to collect not only electrical quantities, but also non-electrical quantities. AC discrete sampling is used for electrical parameter acquisition, relay inspection is used for non-electrical parameter acquisition, and signal processing is performed by high-precision isolated operational amplifiers.
AD202JY conditioning, linearity.
Good, high precision.
b.The whole system adopts a distributed structure, and the software and hardware are modular. The data acquisition part adopts the self-developed RS-485 network with optical isolation, which has high communication efficiency, good security and simple structure.
The background system can form a distributed network such as 485 network, novell network and Windows NT network according to the actual scale and requirements of the monitored system. Because the software and hardware are distributed and modular, it is convenient for system upgrade and maintenance, and different systems are composed according to needs.
c.The data processing is programmed in VisualC++ language on the Windows NT platform, which has strong processing ability, fast speed and friendly interface, and can realize network data sharing.
d.The whole system is developed by itself, which is in line with China's national conditions. The changes to the original system of the power plant are very small, and the system cost is low, which is more suitable for the technical transformation of small and medium-sized power plants.
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The main features of the data acquisition system include:1Diverse Data Sources:
The data acquisition system can obtain data from multiple data sources, including web pages, API interfaces, databases, etc. 2.Automated Acquisition:
The data acquisition system can automate data collection without manual intervention, improving efficiency and accuracy. 3.Flexible collection rule settings:
The data collection system can flexibly set collection rules according to the needs of users, including selecting data fields to be collected, filter conditions, etc. 4.Efficient data processing:
The data acquisition system can process and clean the collected data, improving the quality and usability of the data. 5.Data storage and management:
The data acquisition system can store the collected data in the database and provide data management functions, including data export, data query, etc. 6.Security & Stability:
The data acquisition system has security and stability, which can ensure the security and stable operation of data. Octopus Collector is a powerful data acquisition system with the above characteristics, and also provides more functions and services, such as intelligent identification, timing collection, data export API interface, etc. To learn more about the features and benefits of the Octopus Collector, please visit the official website for more details.
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Visual report definitions, definition of audit relationships, approval and publication of reportsFunctional modules such as data filling, data preprocessing, data review, and comprehensive query statistics.
Through the networking and digitization of information collection, the coverage of data collection will be expanded, and the comprehensiveness, timeliness and accuracy of audit work will be improved. Finally, the relevant business work management is modernized, the procedures are standardized, the decision-making is scientific, and the service is networked.
Real-time collection of output data from the production line or the number of defective products, or the type of failure of the production line (such as line stop, lack of material, quality), and transmission to the database system; Receive information from the database, such as production planning information, material information, etc.
The device class refers to the process of automatically collecting information from analog and digital units under test such as sensors and other devices under test. The data acquisition system is a combination of computer-based measurement hardware and software products to achieve a flexible, user-defined measurement system. For example, barcode machines, scanners, etc. are all data collection tools (systems).
The network is an information tool used to collect the content of web pages, forums, etc. in batches, and save it directly to the database or publish it to the network. The original web page can be automatically collected according to the rules set by the user, and the content required in the format web page can be obtained, and the data can also be processed.
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The data acquisition system is formed by: voltage; analog filters; Sample hold; It consists of a multi-channel transfer switch and an analog-to-digital converter.
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<> common data collection.
There are questionnaires.
Consult information, field inspection, and experiment.
1. Questionnaire survey: Questionnaire survey is the most commonly used method of data collection, because its cost is relatively low, and the information obtained will be more comprehensive.
2. Access to information: Access to information is the oldest way of data collection, and you can get the data you want by consulting books, records and other materials.
3. Field investigation: Field investigation is to go to the designated place to do research, which refers to going to the field to conduct an intuitive and partial detailed investigation in order to understand the truth of a thing and the development process of the situation.
4. Experiment: The advantage of experimental data collection is that the accuracy of the data is very high, and the disadvantage is that the uncertainty is great, regardless of the period of the experiment or the results of the experiment.
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There are many ways to collect data, and here are some common ones:1Manual acquisition:
Manually extract the required data by manually browsing the web, copying and pasting, etc. This method is suitable for situations where the amount of data is small and the collection frequency is low. 2.
Web crawler: A crawler program written in a programming language that automatically accesses web pages and extracts data by simulating browser behavior. This approach is suitable for large-scale data collection and frequent updates.
This method is useful for situations where you need to get specific data, and the data source provides an API interface. 4.Database queries:
For data that has been stored in the database, you can query the database to obtain the required data. This method is suitable for situations where you need to get the data you already have. 5.
Data subscription: Some ** and applications provide data subscription services, users can subscribe to the data they are interested in, and the data will be automatically pushed to the user when it is updated. This approach is suitable for situations where data needs to be acquired in real time.
Octopus Collector is a full-featured, easy-to-operate, and wide-ranging Internet data collector that can help users collect data quickly and efficiently. To learn more about the methods and techniques of data collection, you can refer to the tutorial of Octopus Collector, please go to the official website Tutorial & Help for more details.
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1. Data collection.
According to the type of collected data, it can be divided into different methods, the main methods are: sensor collection, crawler, entry, import, interface, etc.
2. Basic methods of data collection:
1) Sensor monitoring data: through sensors, that is, a word that is now widely used: the Internet of Things. Through the temperature and humidity sensor.
2) The second is news and information Internet data, which can be written by writing web crawlers.
After setting up the data source, crawl the data in a targeted manner.
3) The third method is to enter the existing data into the system by using the system entry page.
4) The fourth way is to target existing batches of structured data.
You can develop an import tool to import it into the system.
5) In the fifth way, data from other systems can be collected into this system through API interface.
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1. Agricultural production is highly specialized, large-scale, and enterprise-oriented: The specialization of agricultural production in the United States is multi-level, which is mainly manifested in regional specialization, farm specialization and production process specialization.
The continental United States is divided into several major crop belts, each of which is most suitable for the growth of one crop, such as the famous "Corn Belt", "Dairy Belt", etc. The vast majority of farms produce only one crop and grow it on a large scale; Some farms produce only one variety of one crop, or only one crop of the breed.
In this way, according to local conditions and each has its own specialization, it has achieved a good combination of specialization and scale, and formed a modern industrial model of specialized production, intensive management, and enterprise management.
2. Perfect agricultural production system: The United States has formed a developed agricultural production system that is closely connected before, during and after production, including the production and production of agricultural production materials, as well as the storage, transportation, processing and sales of agricultural products after harvest. They have a clear division of labor and efficient collaboration in the relevant agricultural legal system.
Under the maintenance, agricultural production is orderly and efficient.
3. The "trinity" of agricultural education, scientific research and extension: Agriculture in the United States is privately run, but the first level actively supports the development of agricultural science and technology, and has established a distinctive "trinity" of agricultural education, scientific research and extension.
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Answer]: The basic functions of the data acquisition system include: data collection, data processing, screen display, data storage, printout, and human-computer interaction.
3.Configure collection rules. You can use the intelligent recognition function to let Octopus automatically identify the data structure of the e-commerce ** page, or manually set the collection rules. >>>More
Key features: 1) Realize data sharing.
Data sharing includes all users who can access the data in the database at the same time, and also includes users who can use the database through interfaces in various ways and provide data sharing. >>>More
Data acquisition. Refers to the process of automatically collecting information from analog and digital units under test such as sensors and other devices under test. The data acquisition system is a combination of computer-based measurement hardware and software products to achieve a flexible, user-defined measurement system. >>>More
There are many ways to collect data, and here are some common ones:1Manual acquisition: >>>More
The opening of the topic is the purpose and significance of the topic. >>>More