Industry 4.0 and data analysis

12 Aug 2021

One of the pillars of industry 4.0 is cyber-physical systems, and one of the main functions of this type of system is to transform data from the physical environment to the digital world, and vice versa.

When we think about the industrial environment, we can identify different types of equipment that have this capability, such as intelligent sensors, controllers that can integrate different machines and devices with capability of Internet of Things (IoT and IIoT). Each of these types of equipment can generate an immense amount of data about the functioning of the industrial environment and its execution parameters. In this sense, we can collect data on temperature in a given equipment, number of rotations of a motor, vibration generated by the equipment, energy consumption and so many other types of data end up being neglected.

However, what is perceived is that cyber-physical systems by themselves do not account for what is called the fourth industrial revolution, as this amount of data does not generate any value. According to Gökalp et al (2016), companies need to process this data and transform them into timely and valuable information for decision making and process optimization. To transform this data into information, there are some technologies that can be applied, among them we can list big data analytics and artificial intelligence. Technologies like these make it possible to identify patterns between data and present relationships that are not always obvious to the decision maker. In addition, it is possible to predict results according to information extracted from the industrial park and even from the supply chain. Since the moment data-based information is used to manage the business, it is possible to promote initiatives to generate revenue or reduce costs, thus contributing to the company`s growth.

In this sense, some techniques for transforming data into information emerged, such as: (i) Machine Learning and (ii) Statistics. The Machine Learning technique can be used so that a system can learn how the process works and eventually propose better parameterizations based on what was identified. On the other hand, using some Statistics techniques, it is possible to predict information using historical data, such as the need for maintenance before a machine fails and causes a complex problem. Finally, the real revolution is in the use of these various concepts in an integrated way and that they can make a substantial difference in decision making, impacting the results presented by the industry.

Today, Antara is prepared to act as an information integrator, allowing the data generated by machines, sensors and equipment to be associated with the information contained in Antara, thus providing support for decision-making. In this way, we are connected with industry 4.0 trends, and always considering the particularities and challenges of each customer.

Reference:
Gökalp, Mert & Kayabay, Kerem & Akyol, Mehmet Ali & Eren, P. & Koçyiğit, Altan. (2016). Big Data for Industry 4.0: A Conceptual Framework. 431-434. 10.1109/CSCI.2016.0088.

* Text prepared by SystemHaus Team.

LINEAPELLE Tanneries birthday Chennai India APLF CSCB ACLE Sustainability Software Brazil Industry 3.0 customer Award Business Intelligence Fairs software for tannery TANNING TECH Tannerie Antara

Systemhaus Portugal

With great joy we communicate the opening of our new unit Systemhaus Portugal, which since August 2021 began to develop its activities. The office is lo...

18 years of Systemhaus Mexico

What were you doing today, 18 years ago?Usually when someone asks us this question, we hesitate until we remember where we were, what we were doing an...

What is the difference between Industry 3.0 and Industry 4.0?

In recent years, the concept of Industry 4.0 has become popular both in industry and in scientific research, in order to promote high technological de...

Eventos

0,01ms - Debug é instanciado.
0,02ms - Classe 'Erro' é instanciada.
0,02ms - Definindo configurações do aplicativo.
0,05ms - Classe 'Carregar' é instanciada.
0,07ms - Instanciada as constantes.
0,10ms - Classe 'Config' é instanciada.
0,14ms - Classe 'Arquivo' é instanciada.
0,15ms - Classe 'Criptografia' é instanciada.
0,16ms - Classe 'Entrada' é instanciada.
0,19ms - Classe 'DB' é instanciada.
0,21ms - Classe 'Mysql' é instanciada.
0,23ms - Iniciando carregamento do aplicativo.
0,25ms - Classe 'Rota' é instanciada.
0,74ms - Rota "/:sigla/lgpd/aceitar" sendo sobrescrita para o método "LgpdControle::aceitar"
0,75ms - Rota "/:sigla/lgpd/quadro" sendo sobrescrita para o método "LgpdControle::quadro"
0,76ms - Rota "/:sigla/lgpd/quadrodetalhado" sendo sobrescrita para o método "LgpdControle::quadroDetalhado"
0,76ms - Rota "/:sigla/lgpd/privacidade" sendo sobrescrita para o método "LgpdControle::pagina"
0,87ms - Classe 'Controle' é instanciada.
0,89ms - Classe 'Seo' é instanciada.
1,00ms - 7,39ms = [Tempo: 6,39ms] - Conexão com o banco 'localhost:sist8023_systemhaus'.
0,88ms - 9,50ms = [Tempo: 8,62ms] - Tempo para incluir o arquivo _Comum.php.
10,63ms - Classe 'BlogControle' é instanciada.
48,27ms - 55,62ms = [Tempo: 7,34ms] - Renderizando a página 'site/visual/html/modeloPadrao.php'.
10,64ms - 55,63ms = [Tempo: 44,99ms] - Metodo 'BlogControle::interna()' é executado.
55,63ms - Debug::mostrarDebug();

Sqls

7,41ms - 7,89ms = [Tempo: 0,48ms] - SELECT id FROM site_idioma WHERE 1=1 AND sigla = 'en'
7,94ms - 8,87ms = [Tempo: 0,93ms] - SELECT ttexto.identificador,tidioma.texto FROM site_textoestatico ttexto INNER JOIN site_textoestatico_idioma tidioma ON (ttexto.id=tidioma.id_textoestatico) WHERE tidioma.id_idioma=02
9,02ms - 9,44ms = [Tempo: 0,42ms] - SELECT * FROM site_configuracao WHERE id_idioma = 02
20,14ms - 21,16ms = [Tempo: 1,01ms] - SELECT tidioma.* FROM site_seo tseo INNER JOIN site_seo_idioma tidioma ON (tseo.id=tidioma.id_seo) WHERE tseo.pagina = 'blog' AND tidioma.id_idioma = 02
26,35ms - 38,82ms = [Tempo: 12,48ms] - SELECT COUNT(1) AS total FROM site_blogpost blog INNER JOIN site_blogcategoria categoria ON blog.id_blogcategoria=categoria.id WHERE blog.ativo=1 AND DATE(blog.data) <= NOW() AND blog.id_idioma = 02 AND categoria.ativo=01 ORDER BY data DESC
38,88ms - 39,48ms = [Tempo: 0,59ms] - SELECT blog.id, blog.titulo,blog.descricao, blog.data, blog.datadescritiva, blog.id_blogcategoria FROM site_blogpost blog INNER JOIN site_blogcategoria categoria ON blog.id_blogcategoria=categoria.id WHERE blog.ativo=1 AND DATE(blog.data) <= NOW() AND blog.id_idioma = 02 AND categoria.ativo=01 ORDER BY data DESC LIMIT 0,4
40,11ms - 40,66ms = [Tempo: 0,55ms] - UPDATE site_blogpost SET acesso = acesso+1 WHERE id = 084
40,69ms - 40,97ms = [Tempo: 0,27ms] - SELECT blog.id,blog.titulo,blog.descricao,blog.data, blog.datadescritiva,blog.id_blogcategoria,blog.seopalavrachave,blog.seodescricao,blog.tag FROM site_blogpost blog INNER JOIN site_blogcategoria categoria ON blog.id_blogcategoria=categoria.id WHERE blog.ativo=1 AND DATE(blog.data) <= NOW() AND blog.id_idioma = 02 AND blog.id=084
42,91ms - 45,10ms = [Tempo: 2,19ms] - SELECT DISTINCT ttag.tag, ttag.tagformatada FROM site_blogposttag ttag INNER JOIN site_blogpost tblog ON(tblog.id=ttag.id_blogpost) WHERE tblog.ativo = 1 AND ttag.id_idioma = 02 ORDER BY RAND() LIMIT 20
45,32ms - 45,59ms = [Tempo: 0,27ms] - SELECT id, nome FROM site_blogcategoria WHERE ativo = 1 AND id_idioma = 02 ORDER BY nome ASC
45,83ms - 46,27ms = [Tempo: 0,44ms] - SELECT COUNT(1) AS total FROM site_blogpost blog INNER JOIN site_blogcategoria categoria ON blog.id_blogcategoria=categoria.id WHERE blog.ativo=1 AND DATE(blog.data) <= NOW() AND blog.id_idioma = 02 AND blog.id_blogcategoria=016 AND blog.id NOT IN (84) AND categoria.ativo=01 ORDER BY RAND()
46,29ms - 48,07ms = [Tempo: 1,78ms] - SELECT blog.id, blog.titulo,blog.descricao, blog.data, blog.datadescritiva, blog.id_blogcategoria FROM site_blogpost blog INNER JOIN site_blogcategoria categoria ON blog.id_blogcategoria=categoria.id WHERE blog.ativo=1 AND DATE(blog.data) <= NOW() AND blog.id_idioma = 02 AND blog.id_blogcategoria=016 AND blog.id NOT IN (84) AND categoria.ativo=01 ORDER BY RAND() LIMIT 0,3
48,46ms - 49,53ms = [Tempo: 1,07ms] - SELECT * FROM site_menu WHERE ativo = 1 AND id_idioma = 02 ORDER BY id_menu ASC,ordem ASC
49,69ms - 50,05ms = [Tempo: 0,36ms] - SELECT * FROM site_menu WHERE ativo = 1 AND id_idioma = 02 AND link LIKE 'antara/%' ORDER BY id_menu ASC,ordem ASC
50,09ms - 50,49ms = [Tempo: 0,40ms] - SELECT id,sigla,nome FROM site_idioma WHERE 1=1 AND ativo = 1 ORDER BY ordem ASC,nome ASC
50,55ms - 51,44ms = [Tempo: 0,90ms] - SELECT tendereco.id,tendidioma.nome,tendidioma.descricao FROM site_endereco tendereco INNER JOIN site_endereco_idioma tendidioma ON (tendereco.id=tendidioma.id_endereco) WHERE tendereco.ativo = 1 AND tendidioma.id_idioma = 02 AND (tendidioma.nome IS NULL OR tendidioma.nome <> '') AND (tendidioma.descricao IS NULL OR tendidioma.descricao <> '') ORDER BY tendereco.ordem ASC,tendidioma.nome ASC
51,68ms - 52,13ms = [Tempo: 0,45ms] - SELECT id FROM site_imagem WHERE id_idioma = 02
54,88ms - 55,31ms = [Tempo: 0,43ms] - SELECT nome FROM lgpd_conteudo WHERE id_idioma = 2