The problems related to the proper management and control in the distribution of potable water affect environmental sustainability generated by leaks and breaks in the infrastructure, causing leaks and loss of water. According to reports from the National Superintendence of Sanitation Services of Peru, more than 50% of complaints about the water service are related to billing problems and water leaks. It is for this reason that technologies such as the Internet of Things technology contribute to generating solutions for the automatic acquisition of data in residences and houses. That is why this paper aims to use long-range and low-power wireless communication systems to improve the service-oriented to the control of the water distribution network, monitoring of vandalism, and detection of anomalous events, reducing response time and economic losses. The paper's development methodology considers the implementation of a water controller node with flow control sensors and solenoid valves and a gateway with Lora communication. In addition, a solenoid valve control circuit and a remote visualization and control system are implemented. The results indicate that the implemented nodes allow adequate monitoring and control in real-time of the water flow, contributing to the adequate management of its consumption and supporting the detection of anomalous events using a Web application.
La pioderma es una de las enfermedades de la piel más diagnosticada en caninostaphylococcus intermedius; sin embargo, en 2005 fue reclasificado en tres especies fenotípicamente similares: S. intermedius, S. pseudintermedius y S. delphini, por lo cual no pueden ser identificadas por bioquímica convencional. Diversos estudios reportan S. pseudintermedius como el agente bacteriano más frecuentemente aislado en piodermas. Por ello, este estudio evaluó la presencia S. pseudintermedius mediante PCR-RFLP en 141 aislados de Staphylococcus sp en el Laboratorio de Bacteriología de la Facultad de Medicina Veterinaria de la Universidad Nacional Mayor de San Marcos, Lima, Perú, provenientes de casos de pioderma canina en el periodo 2016-2018, encontrando que 87.9% de los aislados de Staphylococcus sp han sido identificados como S. pseudintermedius y 12.1% como Staphylococcus sp.
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