143 lines
2.5 KiB
C++
143 lines
2.5 KiB
C++
#ifndef _H_ALGORITHM_COMMON_DEFINE_H
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#define _H_ALGORITHM_COMMON_DEFINE_H
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//#include <Ice/BuiltinSequences.h>
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#include <zlib/MemTable.hpp>
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//
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#include <T_LOV_FDAAITEM.h>
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#include <zlib/zoneDef.h>
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#include <json/json.h>
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#include <string>
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#include <vector>
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const int ALARM_INTERVAL = 120; //s
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const int BACK_TIME = 1;
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const int SAMPLE_CNT = 50; //ms
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const int SAMPLE_TIME_MIN = 60*1000; //ms
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const double EPS = 1e-6;
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const int DEFAULT_CERCLE_TIME = 500;
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const int FEED_BACK_OUTTIME = 600000; //10min
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const int SAMPLE_COUNT = 1000; //
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//using namespace log4cplus;
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struct ADDR {
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short mode;
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short event;
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short addr;
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short addrbit;
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};
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struct ITEM {
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short event;
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float valueold;
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float value;
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char chinese[100];
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};
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class AD_MODE {
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public:
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static const short NORMAL = 0;
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static const short UNKNOW = 1;
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static const short BINARY = 2;
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};
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class DATA_STAT {
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public:
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static const short HISTORY = 0;
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static const short ACTUAL = 1;
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};
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class DATA_SOURCE {
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public:
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static const short IHDB = 0;
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static const short MEMORY = 1;
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static const short DB2 = 2;
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};
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class JUDGE_MODE {
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public:
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static const short DIFFERENCE = 0;
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static const short PRCENTAGE = 1;
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static const short NORMAL = 2;
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static const short TREND_FIT = 3;
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};
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namespace MSG_LEVEL{
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const string INFO = "INFO";
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const string WARN = "WARN";
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const string ERROR= "ERROR";
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};
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struct FEED_BACK {
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short addr_action;
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short addr_feedback;
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long long start;
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};
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struct ConfidenceInterval
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{
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double up;
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double low;
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double avg;
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double std_dev;
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double probability;
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inline string tostring() const{
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return "up:"+to_string(up)+" low:"+to_string(low)+" avg:"+to_string(avg)+" std_dev:"+to_string(std_dev)+" probability:"+to_string(probability);
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}
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};
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struct AbsDifference
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{
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double max;
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double min;
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double avg;
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inline string tostring() const{
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return "max:"+to_string(max)+" min:"+to_string(min)+" avg:"+to_string(avg);
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}
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};
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struct SampleData
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{
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ConfidenceInterval normal_cfdi;
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AbsDifference abs_diff;
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vector<double> vtrend;
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};
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struct SampleState
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{
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bool havesample;
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bool islearned;
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int archive;
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int judgemode;
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double probability;
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time_t lastsave;
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};
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struct SampleLearn
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{
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vector<double> vstat; // one
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vector<double> vtrend; // curve
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AbsDifference abs_diff;
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};
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struct SampleProperty
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{
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std::string tag_name;
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SampleState state;
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SampleData data;
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SampleLearn learn;
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};
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#endif
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