From f0d82d13592f7fd06d5c4297fc8998307904afba Mon Sep 17 00:00:00 2001 From: Stephan <31169771+Blueforcer@users.noreply.github.com> Date: Tue, 12 Mar 2024 10:21:45 +0100 Subject: [PATCH] v0.95 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Rebranding AWTRIX Light to AWTRIX 3 - **Enhancements:** - Implemented median and mean filters for more accurate processing of raw data from LDR and BATT sensors. - Added Cyrillic support, limited to UPPERCASE letters. Issue #467 closed. 🇷🇺 - Introduced overlays for weather animations accessible via the /settings API or customapp/notifications. Available overlays: clear, snow, drizzle, rain, storm, thunder, frost. closes #454 - **Features:** - Added AP Mode timeout configuration via dev.json. ⏱️ - The hostname isnt the same as the MQTT prefix anymore. Instead you can set "hostname" in your dev.json. 🏠 - Supports SSIDs with 32 characters. 🔒 - Web port can now be changed via dev.json. 🌐 - Unified firmware versions for peripherals, allowing Ulanzi firmware to control DFPlayer and read temperature sensors and vice versa. Only port mapping differs. DFPlayer can be enabled in dev.json. 🔄 - **Bug Fixes:** - Resolved issue where using custom apps and sending text in colored fragments prevented reverting to a single color. Issue #464 closed. 🐛 - Fixed URL forwarding in the web interface. Issue #501 closed. 🔗 - **Miscellaneous:** - Added functionality to control the volume of the buzzer or DFPlayer via on-screen menu or settings API. 🔊 - Enabled reset button on the back of Ulanzi; holding it for 5 seconds initiates a full reset of the AWTRIX firmware. 🔧 --- lib/MeanFilterLib/.piopm | 1 + lib/MeanFilterLib/LICENSE | 201 ++++++++++++++++++ lib/MeanFilterLib/README.md | 111 ++++++++++ .../MeanFilterFloat/MeanFilterFloat.ino | 48 +++++ .../MeanFilterLong/MeanFilterLong.ino | 48 +++++ lib/MeanFilterLib/keywords.txt | 18 ++ lib/MeanFilterLib/library.properties | 9 + lib/MeanFilterLib/src/MeanFilterLib.h | 85 ++++++++ 8 files changed, 521 insertions(+) create mode 100644 lib/MeanFilterLib/.piopm create mode 100644 lib/MeanFilterLib/LICENSE create mode 100644 lib/MeanFilterLib/README.md create mode 100644 lib/MeanFilterLib/examples/MeanFilterFloat/MeanFilterFloat.ino create mode 100644 lib/MeanFilterLib/examples/MeanFilterLong/MeanFilterLong.ino create mode 100644 lib/MeanFilterLib/keywords.txt create mode 100644 lib/MeanFilterLib/library.properties create mode 100644 lib/MeanFilterLib/src/MeanFilterLib.h diff --git a/lib/MeanFilterLib/.piopm b/lib/MeanFilterLib/.piopm new file mode 100644 index 0000000..404327e --- /dev/null +++ b/lib/MeanFilterLib/.piopm @@ -0,0 +1 @@ +{"type": "library", "name": "MeanFilterLib", "version": "1.0.0", "spec": {"owner": "luisllamasbinaburo", "id": 5936, "name": "MeanFilterLib", "requirements": null, "uri": null}} \ No newline at end of file diff --git a/lib/MeanFilterLib/LICENSE b/lib/MeanFilterLib/LICENSE new file mode 100644 index 0000000..8dada3e --- /dev/null +++ b/lib/MeanFilterLib/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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La librería almacena los N últimos elementos de la ventana y calcula la media. Se emplea un buffer circular para mantener la eficiencia alta. + +Más información https://www.luisllamas.es/libreria-arduino-mean-filter/ + +## Instrucciones de uso +La clase Mean Filter emplea templates para permitir funcionar con distintos tipos (int, long, float,…). No obstante, hay que tener en cuenta que el filtro almacena N valores del tipo seleccionado, lo que puede causar desbordamiento si los valores filtrados y/o N son grandes. En este caso, hay que instanciar el filtro en un tipo de tamaño superior al de la señal filtrada (por ejemplo long para valores int). + +### Constructor +El filtro de media móvil se instancia a través de su constructor que recibe el tamaño de la ventana como único parámetro. +```c++ +MeanFilter meanFilter(windowSize); +``` + +### Uso del filtro +```c++ +// Añadir un nuevo valor al filtro y devolver el valor filtrado +meanFilter.AddValue(value); + +//Obtiene el ultimo valor filtrado (el mismo que el devuelto al añadir el valor al filtro) +meanFilter.GetFiltered(); +``` + + +## Ejemplos +La librería Mean Filter incluye los siguientes ejemplos para ilustrar su uso. +* MeanFilterLong: Ejemplo de ordenación para variables long. +```c++ +#include "MeanFilterLib.h" + +// Simula la captura de un sensor o la lectura de un sensor +int values[] = { 7729, 7330, 10075, 10998, 11502, 11781, 12413, 12530, 14070, 13789, 18186, 14401, 16691, 16654, 17424, 21104, 17230, 20656, 21584, 21297, 19986, 20808, 19455, 24029, 21455, 21350, 19854, 23476, 19349, 16996, 20546, 17187, 15548, 9179, 8586, 7095, 9718, 5148, 4047, 3873, 4398, 2989, 3848, 2916, 1142, 2427, 250, 2995, 1918, 4297, 617, 2715, 1662, 1621, 960, 500, 2114, 2354, 2900, 4878, 8972, 9460, 11283, 16147, 16617, 16778, 18711, 22036, 28432, 29756, 24944, 27199, 27760, 30706, 31671, 32185, 32290, 30470, 32616, 32075, 32210, 28822, 30823, 29632, 29157, 31585, 24133, 23245, 22516, 18513, 18330, 15450, 12685, 11451, 11280, 9116, 7975, 8263, 8203, 4641, 5232, 5724, 4347, 4319, 3045, 1099, 2035, 2411, 1727, 852, 1134, 966, 2838, 6033, 2319, 3294, 3587, 9076, 5194, 6725, 6032, 6444, 10293, 9507, 10881, 11036, 12789, 12813, 14893, 16465, 16336, 16854, 19249, 23126, 21461, 18657, 20474, 24871, 20046, 22832, 21681, 21978, 23053, 20569, 24801, 19045, 20092, 19470, 18446, 18851, 18210, 15078, 16309, 15055, 14427, 15074, 10776, 14319, 14183, 7984, 8344, 7071, 9675, 5985, 3679, 2321, 6757, 3291, 5003, 1401, 1724, 1857, 2605, 803, 2742, 2971, 2306, 3722, 3332, 4427, 5762, 5383, 7692, 8436, 13660, 8018, 9303, 10626, 16171, 14163, 17161, 19214, 21171, 17274, 20616, 18281, 21171, 18220, 19315, 22558, 21393, 22431, 20186, 24619, 21997, 23938, 20029, 20694, 20648, 21173, 20377, 19147, 18578, 16839, 15735, 15907, 18059, 12111, 12178, 11201, 10577, 11160, 8485, 7065, 7852, 5865, 4856, 3955, 6803, 3444, 1616, 717, 3105, 704, 1473, 1948, 4534, 5800, 1757, 1038, 2435, 4677, 8155, 6870, 4611, 5372, 6304, 7868, 10336, 9091 }; +size_t valuesLength = sizeof(values) / sizeof(values[0]); + +int getMeasure() +{ + size_t static index = 0; + index++; + return values[index - 1]; +} + +// Instanciar filtro media movil con ventana tamaño 5 +MeanFilter meanFilter(5); + +void setup() +{ + Serial.begin(115200); + + for (size_t index = 0; index < valuesLength; index++) + { + // Obtener medicion simulada + int rawMeasure = getMeasure(); + + // Calcular filtro + int mean = meanFilter.AddValue(rawMeasure); + + // Mostrar resultados + // Emplear Serial Plotter para visualización gráfica + Serial.print(rawMeasure); + Serial.print("\t"); + Serial.println(mean); + } +} + +void loop() +{ +} +``` + +* MeanFilterFloat: Ejemplo de ordenación para variables float. +```c++ +#include "MeanFilterLib.h" + +// Simula la captura de un sensor o la lectura de un sensor +float values[] = { 7729, 7330, 10075, 10998, 11502, 11781, 12413, 12530, 14070, 13789, 18186, 14401, 16691, 16654, 17424, 21104, 17230, 20656, 21584, 21297, 19986, 20808, 19455, 24029, 21455, 21350, 19854, 23476, 19349, 16996, 20546, 17187, 15548, 9179, 8586, 7095, 9718, 5148, 4047, 3873, 4398, 2989, 3848, 2916, 1142, 2427, 250, 2995, 1918, 4297, 617, 2715, 1662, 1621, 960, 500, 2114, 2354, 2900, 4878, 8972, 9460, 11283, 16147, 16617, 16778, 18711, 22036, 28432, 29756, 24944, 27199, 27760, 30706, 31671, 32185, 32290, 30470, 32616, 32075, 32210, 28822, 30823, 29632, 29157, 31585, 24133, 23245, 22516, 18513, 18330, 15450, 12685, 11451, 11280, 9116, 7975, 8263, 8203, 4641, 5232, 5724, 4347, 4319, 3045, 1099, 2035, 2411, 1727, 852, 1134, 966, 2838, 6033, 2319, 3294, 3587, 9076, 5194, 6725, 6032, 6444, 10293, 9507, 10881, 11036, 12789, 12813, 14893, 16465, 16336, 16854, 19249, 23126, 21461, 18657, 20474, 24871, 20046, 22832, 21681, 21978, 23053, 20569, 24801, 19045, 20092, 19470, 18446, 18851, 18210, 15078, 16309, 15055, 14427, 15074, 10776, 14319, 14183, 7984, 8344, 7071, 9675, 5985, 3679, 2321, 6757, 3291, 5003, 1401, 1724, 1857, 2605, 803, 2742, 2971, 2306, 3722, 3332, 4427, 5762, 5383, 7692, 8436, 13660, 8018, 9303, 10626, 16171, 14163, 17161, 19214, 21171, 17274, 20616, 18281, 21171, 18220, 19315, 22558, 21393, 22431, 20186, 24619, 21997, 23938, 20029, 20694, 20648, 21173, 20377, 19147, 18578, 16839, 15735, 15907, 18059, 12111, 12178, 11201, 10577, 11160, 8485, 7065, 7852, 5865, 4856, 3955, 6803, 3444, 1616, 717, 3105, 704, 1473, 1948, 4534, 5800, 1757, 1038, 2435, 4677, 8155, 6870, 4611, 5372, 6304, 7868, 10336, 9091 }; +size_t valuesLength = sizeof(values) / sizeof(values[0]); + +float getMeasure() +{ + size_t static index = 0; + index++; + return values[index - 1]; +} + +// Instanciar filtro media movil con ventana tamaño 5 +MeanFilter meanFilter(5); + +void setup() +{ + Serial.begin(115200); + + for (size_t index = 0; index < valuesLength; index++) + { + // Obtener medicion simulada + float rawMeasure = getMeasure(); + + // Calcular filtro + float mean = meanFilter.AddValue(rawMeasure); + + // Mostrar resultados + // Emplear Serial Plotter para visualización gráfica + Serial.print(rawMeasure); + Serial.print("\t"); + Serial.println(mean); + } +} + +void loop() +{ +} +``` diff --git a/lib/MeanFilterLib/examples/MeanFilterFloat/MeanFilterFloat.ino b/lib/MeanFilterLib/examples/MeanFilterFloat/MeanFilterFloat.ino new file mode 100644 index 0000000..b12e7b0 --- /dev/null +++ b/lib/MeanFilterLib/examples/MeanFilterFloat/MeanFilterFloat.ino @@ -0,0 +1,48 @@ +/*************************************************** +Copyright (c) 2017 Luis Llamas +(www.luisllamas.es) + +Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License + ****************************************************/ + +#include "MeanFilterLib.h" + +// Simula la captura de un sensor o la lectura de un sensor +float values[] = { 7729, 7330, 10075, 10998, 11502, 11781, 12413, 12530, 14070, 13789, 18186, 14401, 16691, 16654, 17424, 21104, 17230, 20656, 21584, 21297, 19986, 20808, 19455, 24029, 21455, 21350, 19854, 23476, 19349, 16996, 20546, 17187, 15548, 9179, 8586, 7095, 9718, 5148, 4047, 3873, 4398, 2989, 3848, 2916, 1142, 2427, 250, 2995, 1918, 4297, 617, 2715, 1662, 1621, 960, 500, 2114, 2354, 2900, 4878, 8972, 9460, 11283, 16147, 16617, 16778, 18711, 22036, 28432, 29756, 24944, 27199, 27760, 30706, 31671, 32185, 32290, 30470, 32616, 32075, 32210, 28822, 30823, 29632, 29157, 31585, 24133, 23245, 22516, 18513, 18330, 15450, 12685, 11451, 11280, 9116, 7975, 8263, 8203, 4641, 5232, 5724, 4347, 4319, 3045, 1099, 2035, 2411, 1727, 852, 1134, 966, 2838, 6033, 2319, 3294, 3587, 9076, 5194, 6725, 6032, 6444, 10293, 9507, 10881, 11036, 12789, 12813, 14893, 16465, 16336, 16854, 19249, 23126, 21461, 18657, 20474, 24871, 20046, 22832, 21681, 21978, 23053, 20569, 24801, 19045, 20092, 19470, 18446, 18851, 18210, 15078, 16309, 15055, 14427, 15074, 10776, 14319, 14183, 7984, 8344, 7071, 9675, 5985, 3679, 2321, 6757, 3291, 5003, 1401, 1724, 1857, 2605, 803, 2742, 2971, 2306, 3722, 3332, 4427, 5762, 5383, 7692, 8436, 13660, 8018, 9303, 10626, 16171, 14163, 17161, 19214, 21171, 17274, 20616, 18281, 21171, 18220, 19315, 22558, 21393, 22431, 20186, 24619, 21997, 23938, 20029, 20694, 20648, 21173, 20377, 19147, 18578, 16839, 15735, 15907, 18059, 12111, 12178, 11201, 10577, 11160, 8485, 7065, 7852, 5865, 4856, 3955, 6803, 3444, 1616, 717, 3105, 704, 1473, 1948, 4534, 5800, 1757, 1038, 2435, 4677, 8155, 6870, 4611, 5372, 6304, 7868, 10336, 9091 }; +size_t valuesLength = sizeof(values) / sizeof(values[0]); + +float getMeasure() +{ + size_t static index = 0; + index++; + return values[index - 1]; +} + +// Instanciar filtro media movil con ventana tamao 5 +MeanFilter meanFilter(5); + +void setup() +{ + Serial.begin(115200); + + for (size_t index = 0; index < valuesLength; index++) + { + // Obtener medicion simulada + float rawMeasure = getMeasure(); + + // Calcular filtro + float mean = meanFilter.AddValue(rawMeasure); + + // Mostrar resultados + // Emplear Serial Plotter para visualizacin grfica + Serial.print(rawMeasure); + Serial.print("\t"); + Serial.println(mean); + } +} + +void loop() +{ +} diff --git a/lib/MeanFilterLib/examples/MeanFilterLong/MeanFilterLong.ino b/lib/MeanFilterLib/examples/MeanFilterLong/MeanFilterLong.ino new file mode 100644 index 0000000..974b819 --- /dev/null +++ b/lib/MeanFilterLib/examples/MeanFilterLong/MeanFilterLong.ino @@ -0,0 +1,48 @@ +/*************************************************** +Copyright (c) 2017 Luis Llamas +(www.luisllamas.es) + +Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License + ****************************************************/ + +#include "MeanFilterLib.h" + +// Simula la captura de un sensor o la lectura de un sensor +int values[] = { 7729, 7330, 10075, 10998, 11502, 11781, 12413, 12530, 14070, 13789, 18186, 14401, 16691, 16654, 17424, 21104, 17230, 20656, 21584, 21297, 19986, 20808, 19455, 24029, 21455, 21350, 19854, 23476, 19349, 16996, 20546, 17187, 15548, 9179, 8586, 7095, 9718, 5148, 4047, 3873, 4398, 2989, 3848, 2916, 1142, 2427, 250, 2995, 1918, 4297, 617, 2715, 1662, 1621, 960, 500, 2114, 2354, 2900, 4878, 8972, 9460, 11283, 16147, 16617, 16778, 18711, 22036, 28432, 29756, 24944, 27199, 27760, 30706, 31671, 32185, 32290, 30470, 32616, 32075, 32210, 28822, 30823, 29632, 29157, 31585, 24133, 23245, 22516, 18513, 18330, 15450, 12685, 11451, 11280, 9116, 7975, 8263, 8203, 4641, 5232, 5724, 4347, 4319, 3045, 1099, 2035, 2411, 1727, 852, 1134, 966, 2838, 6033, 2319, 3294, 3587, 9076, 5194, 6725, 6032, 6444, 10293, 9507, 10881, 11036, 12789, 12813, 14893, 16465, 16336, 16854, 19249, 23126, 21461, 18657, 20474, 24871, 20046, 22832, 21681, 21978, 23053, 20569, 24801, 19045, 20092, 19470, 18446, 18851, 18210, 15078, 16309, 15055, 14427, 15074, 10776, 14319, 14183, 7984, 8344, 7071, 9675, 5985, 3679, 2321, 6757, 3291, 5003, 1401, 1724, 1857, 2605, 803, 2742, 2971, 2306, 3722, 3332, 4427, 5762, 5383, 7692, 8436, 13660, 8018, 9303, 10626, 16171, 14163, 17161, 19214, 21171, 17274, 20616, 18281, 21171, 18220, 19315, 22558, 21393, 22431, 20186, 24619, 21997, 23938, 20029, 20694, 20648, 21173, 20377, 19147, 18578, 16839, 15735, 15907, 18059, 12111, 12178, 11201, 10577, 11160, 8485, 7065, 7852, 5865, 4856, 3955, 6803, 3444, 1616, 717, 3105, 704, 1473, 1948, 4534, 5800, 1757, 1038, 2435, 4677, 8155, 6870, 4611, 5372, 6304, 7868, 10336, 9091 }; +size_t valuesLength = sizeof(values) / sizeof(values[0]); + +int getMeasure() +{ + size_t static index = 0; + index++; + return values[index - 1]; +} + +// Instanciar filtro media movil con ventana tamao 5 +MeanFilter meanFilter(5); + +void setup() +{ + Serial.begin(115200); + + for (size_t index = 0; index < valuesLength; index++) + { + // Obtener medicion simulada + int rawMeasure = getMeasure(); + + // Calcular filtro + int mean = meanFilter.AddValue(rawMeasure); + + // Mostrar resultados + // Emplear Serial Plotter para visualizacin grfica + Serial.print(rawMeasure); + Serial.print("\t"); + Serial.println(mean); + } +} + +void loop() +{ +} diff --git a/lib/MeanFilterLib/keywords.txt b/lib/MeanFilterLib/keywords.txt new file mode 100644 index 0000000..dd10a96 --- /dev/null +++ b/lib/MeanFilterLib/keywords.txt @@ -0,0 +1,18 @@ +####################################### +# Syntax Coloring Map MeanFilter +####################################### + +####################################### +# Datatypes (KEYWORD1) +####################################### +MeanFilter KEYWORD1 + +####################################### +# Methods and Functions (KEYWORD2) +####################################### +AddValue KEYWORD2 +GetFiltered KEYWORD2 + +####################################### +# Constants (LITERAL1) +####################################### diff --git a/lib/MeanFilterLib/library.properties b/lib/MeanFilterLib/library.properties new file mode 100644 index 0000000..0cdb1c6 --- /dev/null +++ b/lib/MeanFilterLib/library.properties @@ -0,0 +1,9 @@ +name=MeanFilterLib +version=1.0.0 +author=Luis Llamas +maintainer=Luis Llamas +sentence=Mean Filter Library +paragraph=The mean filter library implements a mobile media filter. The library stores the last N items in the window and calculates the average. A circular buffer is used to maintain high efficiency. +category=Other +url=https://github.com/luisllamasbinaburo/Arduino-Meanfilter +architectures=* diff --git a/lib/MeanFilterLib/src/MeanFilterLib.h b/lib/MeanFilterLib/src/MeanFilterLib.h new file mode 100644 index 0000000..67ed163 --- /dev/null +++ b/lib/MeanFilterLib/src/MeanFilterLib.h @@ -0,0 +1,85 @@ +/*************************************************** +Copyright (c) 2017 Luis Llamas +(www.luisllamas.es) + +Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License + ****************************************************/ + +#ifndef _MeanFilterLIB_h +#define _MeanFilterLIB_h + +#if defined(ARDUINO) && ARDUINO >= 100 + #include "Arduino.h" +#else + #include "WProgram.h" +#endif + +template +class MeanFilter +{ +public: + MeanFilter(const size_t windowSize); + T AddValue(const T value); + T GetFiltered(); + +private: + T* _items; + T* _accessor; + int _windowSize; + int _count; + T _sum; + + void addToBuffer(const T value); + void incCounter(); +}; + +template +MeanFilter::MeanFilter(const size_t windowSize) +{ + _items = new T[windowSize]; + _accessor = _items; + _windowSize = windowSize; + _count = 0; +} + +template +T MeanFilter::AddValue(const T value) +{ + _sum += value; + + if (_count >= _windowSize) + _sum -= *_accessor; + + addToBuffer(value); + incCounter(); + + return GetFiltered(); +} + +template +T MeanFilter::GetFiltered() +{ + return (_sum / _count); +} + +template +inline void MeanFilter::addToBuffer(const T value) +{ + *_accessor = value; + + ++_accessor; + if (_accessor >= _items + _windowSize) + _accessor = _items; + +} + +template +inline void MeanFilter::incCounter() +{ + if (_count < _windowSize) + ++_count; +} + +#endif \ No newline at end of file