2022-10-11T16:28:51.1019484802023-04-10T01:15:01.641844779PT5H18M24S74LibreOffice/7.4.6.2$Linux_X86_64 LibreOffice_project/40$Build-2
0
0
22274
9888
true
false
view2
17413
7163
0
0
22273
9887
0
1
false
220
false
false
false
false
false
false
false
true
true
true
true
true
false
0
false
false
false
true
false
false
true
true
false
false
false
true
true
true
false
false
false
false
false
false
false
true
true
false
true
false
false
false
false
true
0
1
true
true
high-resolution
true
false
false
true
false
false
true
true
false
true
true
5142523
true
false
true
true
0
false
false
false
true
false
true
0
true
false
true
true
true
false
false
false
false
false
true
false
true
false
false
false
false
false
false
true
2067644
false
false
true
false
false
true
false
true
true
$
-
$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<if test="company and company.header">
<for each="line in company.header.split('\n')">
<line>
</for>
</if>
<company.rec_name if company else ''>
<if test="company">
NIT: <company.party.identifiers[0].code>
Regimen Común
Actividad Economica 4659
Dirección: <company.party.addresses[0].street><company.party.addresses[0].city>
Teléfono: <company.party.phone>
Celular: <company.party.mobile>
E-mail: <company.party.email>
</if>
Pagina 5
<for each="service in records">
<for each="maintenance in service.lines">
<if test="maintenance.equipment.product.calibration">
Fecha: <format_datetime(datetime.datetime.now(),user.language, '%b/%d/%Y', maintenance.company.timezone)>
Consecutivo: <maintenance.code>
Señores: <maintenance.propietary.name>
Documento: <"NIT" if maintenance.propietary.tax_identifier.type=="31" else "CC"><maintenance.propietary.tax_identifier.code>
Ciudad: <maintenance.propietary_address.subdivision_municipality.name>
Dirección: <maintenance.propietary_address.street>
Asunto: Certificación de calibración
Método de calibración: Comparación
Rango de medición: <maintenance.equipment.product.measuring_range>
<choose test="">
<when test="maintenance.equipment.product.use_pattern.id==1">
Patrón utilizado: Ojo Esquemático
</when>
<when test="maintenance.equipment.product.use_pattern.id==2">
Patrón utilizado: Lentes de Prueba
</when>
<when test="maintenance.equipment.product.use_pattern.id==3">
Patrón utilizado: Pesas de Calibración
</when>
<when test="maintenance.equipment.product.use_pattern.id==4">
Patrón utilizado: Esferas de Calibración
</when>
<otherwise test="">
Patrón utilizado: Barras de Calibración
</otherwise>
</choose>
<choose test="">
<when test="maintenance.equipment.use == 'medico'">
Uso: Médico
</when>
<when test="maintenance.equipment.use == 'basico'">
Uso: Básico
</when>
<when test="maintenance.equipment.use == 'apoyo'">
Uso: Apoyo
</when>
<otherwise test="">
Uso: n/a
</otherwise>
</choose>
División de escala: <"0.25D" if maintenance.equipment.product.measuring_range == "dioptria" else "1mmHg">
Sitio de medición: Consultorio
Equipo: <maintenance.equipment.product.name>
Marca: <maintenance.equipment.mark_category.name>
Modelo: <maintenance.equipment.model_category.name>
Referencia: <maintenance.equipment.reference_category.name>
Serie: <maintenance.equipment.serial>
Condiciones Ambientales
Temperatura Min
<str(maintenance.temperature_min) + str(maintenance.temperature_uom.symbol) if maintenance.temperature_min else "">
Humedad Min
<str(maintenance.moisture_min) + str(maintenance.equipment.product.moisture_uom.symbol) if maintenance.moisture_min else "">
Temperatura Max
<str(maintenance.temperature_max) + str(maintenance.temperature_uom.symbol) if maintenance.temperature_max else "">
Humedad Max
<str(maintenance.moisture_max) + str(maintenance.equipment.product.moisture_uom.symbol) if maintenance.moisture_max else "">
Medida Tomadas
Patrón
Valor en Equipo
% Error
<for each="line in maintenance.lines_calibration">
<line.value_patterns.pattern>
<line.value_equipment>
<line.mistake_rate>%
</for>
Resultados de calibración:
La incertidumbre expandida de la medición se ha obtenido multiplicando la incertidumbre combinada por el factor de cobertura K calculado conforme a los grados de libertad y el factor de Student para una probabilidad del 95%
<"Dioptría" if maintenance.equipment.product.measuring_range == "dioptria" else "mmHg">
Desviación estándar
Promedio
Incertidumbre Expandida
Estado
<for each="line in maintenance.calibration_total">
<line.diopter>
<line.dev_std>
<line.mean>
<line.uncertain_expanded>
<line.state>
</for>
Este certificado de calibración no podrá ser reproducido.
Texto 1:
Este certificado expresa fielmente el resultado de las mediciones realizadas. Los resultados contenidos en el presente certificado se refieren al momento y condiciones en que se realizaron las mediciones. No nos responsabilizamos de los perjuicios que pueden derivarse del uso inadecuado de los instrumentos calibrados. El usuario es responsable de la recalibración de sus instrumentos a intervalos apropiados.
ANTHONY STIVEN RODRIGUEZ FONSECA
INVIMA : RH-202208-01301
</if>
</for>
</for>