diff --git a/Ramses.py b/Ramses.py index 0246377..505ef71 100644 --- a/Ramses.py +++ b/Ramses.py @@ -26,26 +26,25 @@ class Ramses(object): @param : 23 ..07 .... 06 05 04 03 02 01 00 ip信息不包含 @Returns : realWavelength Intensity + @ 积分时间 04 07 , 选 07 """ self.buf = b'' self.mode = 0 # 默认0 空气中，1：水中 + self.buf_ip = b'' self.it = None self.light_int = None # 未标定的整数值 self.spectrum = None # 光谱强度 - # self.current_buf = "" - # self.current_buf_seq = 0 - # self.current_it_int = {"it": 0, "light_int": []} # 积分时间及换算的整数值 - # self.res = {"wavelength": [], "light": []} - self.cal_cfg = {} + self.ip = [] + self.cal_cfg = {} # 单个传感器标定文件还是多个传感器的？ # self.current_cal = {} # 当前传感器的序列号 pass - def setBuf(self, buf: bytes): + def setBuf( self, buf: bytes ): self.buf = buf pass - def setMode(self, mode=1): - self.mode = 1 + def setMode( self, mode = 1 ): + self.mode = mode pass def setCalCfg(self, d: dict): @@ -56,6 +55,9 @@ class Ramses(object): self.cal_cfg = d pass + def get_ip(self): + return self.ip + def getSpectrum(self): return self.spectrum @@ -83,7 +85,10 @@ class Ramses(object): pass def dealBuf(self, ip_included:bool=False): - """多个传感器的数据处理， 头部是否包含Ip帧的信息""" + """ + 头部是否包含Ip帧的信息 + ?? 不支持多个传感器的标定文件 + """ log.info(f" dealBuf ", __name__) res = {} @@ -91,27 +96,31 @@ class Ramses(object): if len_ < 576: return if ip_included: + self.buf_ip = self.buf[:26] + self.ip = self.decode_ip_buf(self.buf_ip, self.cal_cfg) self.buf = self.buf[26:] len_ = len_ - 26 if len_ % 576 != 0: return - for i in range(int(len_/576)): - res.update({i+1: {}}) + for i in range( int(len_/576) ): + res.update( {i+1: {}} ) temp_buf = self.buf[7:71] + self.buf[79:143] + \ self.buf[151:215] + self.buf[223:287] + \ self.buf[295:359] + self.buf[367:431] + \ self.buf[439:503] + self.buf[511:575] self.ConvertAndCalibrate( temp_buf ) # print(len(temp_buf)) - temp = self.__ConvertBytesToInt(temp_buf) - res.update( { i+1: temp } ) + # temp = self.__ConvertBytesToInt(temp_buf) + # res.update( { i+1: temp } ) # print(res) pass def ConvertAndCalibrate(self,) -> None: + '''单个成功数据转化 标定''' log.debug(f" ConvertAndCalibrate ", __name__) temp = self.__ConvertBytesToInt( ) + # print( f"int : {self.it} {temp}" ) self.__CalibrateSpectrumData( ) pass @@ -119,34 +128,40 @@ class Ramses(object): def __ConvertBytesToInt(self ) -> None: res = {} d = [] # List [ Tuple[ it:int, sing_set:tuple[int] ] ] + self.it = 2 << int(self.buf[1]) # integrated time + # self.it = 2 << int(self.buf[0]) # integrated time + self.light_int = struct.unpack( " bytes: + '''去除遮罩 0x64 0x65 0x66 0x67''' + ret = b'' + flag = False + blen = len(buf) + for i in range(blen): + if flag == False and buf[i] == 64 : + flag = True + continue + if flag == False and buf[i] != 64 : + ret = ret + buf[i].to_bytes( 1, byteorder = 'big' ) + continue + if flag == True and buf[i] == 100: + ret = ret + b'\x40' + flag = False + continue + if flag == True and buf[i] == 101: + ret = ret + b'\x23' + flag = False + continue + if flag == True and buf[i] == 102: + ret = ret + b'\x11' + flag = False + continue + if flag == True and buf[i] == 103: + ret = ret + b'\x13' + flag = False + continue + return ret + pass + + def decode_ip_buf(self, buf, ip_cal:dict): + tmpbuf = buf + if len(tmpbuf) ==26 and tmpbuf[0] == 0x13: + tmpbuf = tmpbuf[2:] + + Incl_XGain = float(ip_cal['Incl_XOffset'] ) + Incl_XOffset = float(ip_cal['Incl_XOffset'] ) + Incl_YGain = float(ip_cal['Incl_YGain'] ) + Incl_YOffset = float(ip_cal['Incl_YOffset'] ) + + Incl_KRef = float(ip_cal['Incl_KRef'] ) + Press_Sens_mV_bar_1mA = float(ip_cal['Press_Sens_mV_bar_1mA'] ) + Incl_KBG = float(ip_cal['Incl_KBG'] ) + Press_Sens_mV_bar_4mA = float(ip_cal['Press_Sens_mV_bar_4mA'] ) + Press_Gain = float(ip_cal['Press_Gain'] ) + Press_Surface_bar = float(ip_cal['Press_Surface_bar'] ) - # def read_bin(self,fpath: Path): - # log.debug(f" readbin: ", __name__, "", "" ) - # ret = None - # if not fpath.exists() : - # log.info(f"not find file: {fpath} ") - # return ret - # with open(fpath, 'rb') as file: - # ret = file.read() - # return ret - # log.debug(f" readbin: {ret} ", __name__, "", "" ) - # return ret - # pass + + ip_info = struct.unpack(" list: + ret = [] + for i in range(1,256): + tmp = float(self.cal_cfg['c0s']) + float(self.cal_cfg['c1s'])*i \ + + float(self.cal_cfg['c2s'])*i*i + float(self.cal_cfg['c3s'])*i*i*i + ret.append(tmp) + pass + return ret + pass if __name__ == "__main__": @@ -206,4 +296,4 @@ if __name__ == "__main__": # print(len(buf)) # # print(buf[:576]) # print(buf[:576].hex()) - # print(buf[576:578].hex() ) + # print(buf[576:578].hex() ) \ No newline at end of file diff --git a/app.py b/app.py index 1072d54..9533b85 100644 --- a/app.py +++ b/app.py @@ -18,7 +18,7 @@ if __name__ == "__main__": ####################################### device_id = DEVICE_ID # 多个设备 - device_type = DeviceType.AWRAMS.name + device_type = DeviceType.PROFILE.name mycfg = MyConfig() # 配置反演需要的参数 波长 间隔 @@ -26,7 +26,7 @@ if __name__ == "__main__": log.info(f"Retrieve: {retrieve}", __name__, "", "") # log.info(f"syscfg: {device}", __name__, "", "") - mycfg.setDeviceType(DeviceType.AWRAMS) + mycfg.setDeviceType(device_type) init_para = mycfg.read_yaml() log.info(f"Current Device: {device_type} ", __name__, "", "") log.info(f"Sensor: {init_para}", __name__, "", "") @@ -47,10 +47,11 @@ if __name__ == "__main__": log.info(f"v: {cfgr.configuration}", __name__, "", "") cal_cfg.update({k:cfgr.cal_configuration}) - # log.warning(f"cal_cfg: {cal_cfg}", __name__, "", "") - log.warning(f"cal_cfg 2: {cal_cfg[2].keys()}", __name__, "", "") - log.warning(f"cal_cfg 3: {cal_cfg[3].keys()}", __name__, "", "") - log.info(f"传感器配置文件读取成功", __name__, "", "") + # log.warning(f"cal_cfg: {cal_cfg[2]}", __name__, "", "") + log.warning( f"cal_cfg 2: {cal_cfg[2].keys()}", __name__, "", "") + # log.warning( f"cal_cfg 2: {cal_cfg[2]}", __name__, "", "") + # log.warning( f"cal_cfg 3: {cal_cfg[3].keys()}", __name__, "", "") + log.info( f"传感器配置文件读取成功", __name__, "", "" ) # ???????????? # 不同设备类型接收不同，修改receive.py diff --git a/calfile/profile/Back_SAM_852F.dat b/calfile/profile/Back_SAM_852F.dat new file mode 100644 index 0000000..18f8686 --- /dev/null +++ b/calfile/profile/Back_SAM_852F.dat @@ -0,0 +1,297 @@ +[Spectrum] +Version = 1 +IDData = DLAB_2016-11-29_14-47-59_729_812 +IDDevice = SAM_852F +IDDataType = SPECTRUM +IDDataTypeSub1 = BACK +IDDataTypeSub2 = +IDDataTypeSub3 = +DateTime = 2016-11-29 14:41:43 +PositionLatitude = 0 +PositionLongitude = 0 +Comment = +CommentSub1 = +CommentSub2 = +CommentSub3 = +IDMethodType = SAM Calibration Station +MethodName = SAM_Calibration_Station +Mission = +MissionSub = 0 +RecordType = 0 + +[Attributes] +CalFactor = 1 +IDBasisSpec = +IDDataBack = +IDDataCal = +IntegrationTime = 8192 +P31 = -1 +P31e = 0 +PathLength = +INF +RAWDynamic = 65535 +Temperature = +NAN +Unit1 = $05 $00 Pixel +Unit2 = $03 $05 Intensity counts +Unit3 = $03 $05 Intensity counts +Unit4 = $f1 $00 Status +[END] of [Attributes] +[DATA] + 0 12 0 0 + 1 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+DateTime = 2018-06-13 11:58:21 +PositionLatitude = 0 +PositionLongitude = 0 +Comment = +CommentSub1 = +CommentSub2 = +CommentSub3 = +IDMethodType = +MethodName = +Mission = No Mission +MissionSub = 1 +RecordType = 0 + +[Attributes] +CalFactor = 1 +IDBasisSpec = +IDDataBack = DLAB_2018-06-11_15-23-57_730_586 +IDDataCal = +IntegrationTime = 64 +P31 = -1 +P31e = 0 +PathLength = +INF +RAWDynamic = 65535 +Temperature = +NAN +Unit1 = $05 $00 Pixel +Unit2 = $04 $04 1/Intensity (m^2 nm Sr)/mW +Unit3 = $04 $04 1/Intensity (m^2 nm Sr)/mW +Unit4 = $f1 $00 Status +[END] of [Attributes] +[DATA] + 0 5 0 0 + 1 +NAN 0 0 + 2 +NAN 0 0 + 3 +NAN 0 0 + 4 0.213368170535889 0 0 + 5 0.269708461889978 0 0 + 6 0.323681305990691 0 0 + 7 0.361686162925288 0 0 + 8 0.399727885563257 0 0 + 9 0.426595980991839 0 0 + 10 0.455395402116462 0 0 + 11 0.489873358069589 0 0 + 12 0.521706723967902 0 0 + 13 0.569424753191682 0 0 + 14 0.613678281579101 0 0 + 15 0.668568867138568 0 0 + 16 0.729648774358889 0 0 + 17 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b/calfile/profile/Cal_SAM_852F.dat @@ -0,0 +1,297 @@ +[Spectrum] +Version = 1 +IDData = AirDLAB_2016-12-07_12-00-24_364_510 +IDDevice = SAM_852F +IDDataType = SPECTRUM +IDDataTypeSub1 = CAL +IDDataTypeSub2 = Air +IDDataTypeSub3 = +DateTime = 2016-12-07 11:59:26 +PositionLatitude = 0 +PositionLongitude = 0 +Comment = +CommentSub1 = +CommentSub2 = +CommentSub3 = +IDMethodType = +MethodName = +Mission = No Mission +MissionSub = 1 +RecordType = 0 + +[Attributes] +CalFactor = 1 +IDBasisSpec = +IDDataBack = DLAB_2016-11-29_14-47-59_729_812 +IDDataCal = +IntegrationTime = 128 +P31 = -1 +P31e = 0 +PathLength = +INF +RAWDynamic = 65535 +Temperature = +NAN +Unit1 = $05 $00 Pixel +Unit2 = $04 $09 1/Intensity (m^2 nm)/mW +Unit3 = $04 $09 1/Intensity (m^2 nm)/mW +Unit4 = $f1 $00 Status +[END] of [Attributes] +[DATA] + 0 6 0 0 + 1 +NAN 0 0 + 2 +NAN 0 0 + 3 +NAN 0 0 + 4 +NAN 0 0 + 5 0.099081925071204 0 0 + 6 0.107353085872454 0 0 + 7 0.113070264290883 0 0 + 8 0.114376499819276 0 0 + 9 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0 0 + 249 +NAN 0 0 + 250 +NAN 0 0 + 251 +NAN 0 0 + 252 +NAN 0 0 + 253 +NAN 0 0 + 254 +NAN 0 0 + 255 +NAN 0 0 +[END] of [DATA] +[END] of [Spectrum] + diff --git a/calfile/profile/Cal_SAM_859F.dat b/calfile/profile/Cal_SAM_859F.dat new file mode 100644 index 0000000..179f228 --- /dev/null +++ b/calfile/profile/Cal_SAM_859F.dat @@ -0,0 +1,297 @@ +[Spectrum] +Version = 1 +IDData = DLAB_2018-05-24_13-29-20_305_176 +IDDevice = SAM_859F +IDDataType = SPECTRUM +IDDataTypeSub1 = CAL +IDDataTypeSub2 = Air +IDDataTypeSub3 = +DateTime = 2018-05-24 13:28:25 +PositionLatitude = 0 +PositionLongitude = 0 +Comment = +CommentSub1 = +CommentSub2 = +CommentSub3 = +IDMethodType = +MethodName = +Mission = No Mission +MissionSub = 1 +RecordType = 0 + +[Attributes] +CalFactor = 1 +IDBasisSpec = +IDDataBack = DLAB_2018-05-04_11-56-28_529_586 +IDDataCal = +IntegrationTime = 64 +P31 = -1 +P31e = 0 +PathLength = +INF +RAWDynamic = 65535 +Temperature = +NAN +Unit1 = $05 $00 Pixel +Unit2 = $04 $04 1/Intensity (m^2 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0 + 232 +NAN 0 0 + 233 +NAN 0 0 + 234 +NAN 0 0 + 235 +NAN 0 0 + 236 +NAN 0 0 + 237 +NAN 0 0 + 238 +NAN 0 0 + 239 +NAN 0 0 + 240 +NAN 0 0 + 241 +NAN 0 0 + 242 +NAN 0 0 + 243 +NAN 0 0 + 244 +NAN 0 0 + 245 +NAN 0 0 + 246 +NAN 0 0 + 247 +NAN 0 0 + 248 +NAN 0 0 + 249 +NAN 0 0 + 250 +NAN 0 0 + 251 +NAN 0 0 + 252 +NAN 0 0 + 253 +NAN 0 0 + 254 +NAN 0 0 + 255 +NAN 0 0 +[END] of [DATA] +[END] of [Spectrum] + diff --git a/calfile/profile/SAMIP_50ED_ALL.ini b/calfile/profile/SAMIP_50ED_ALL.ini new file mode 100644 index 0000000..10275ce --- /dev/null +++ b/calfile/profile/SAMIP_50ED_ALL.ini @@ -0,0 +1,81 @@ +[DEVICE] +Version = 0 +IDDevice = SAMIP_50ED +IDDeviceType = SAMIP +IDDeviceTypeSub1 = ACC-2 +IDDeviceTypeSub2 = VIS +IDDeviceTypeSub3 = +DateTime = 2018-06-19 12:08:40 +Comment = +RecordType = 0 +IDDeviceMaster = + +[ATTRIBUTES] +IDDeviceSAM = SAM_859F +IDDeviceIP = IP_C121 +[END] of [ATTRIBUTES] +[END] of [DEVICE] + + +[DEVICE] +Version = 0 +IDDevice = IP_C121 +IDDeviceType = IP +IDDeviceTypeSub1 = +IDDeviceTypeSub2 = +IDDeviceTypeSub3 = +DateTime = 2018-06-19 12:01:08 +Comment = +RecordType = 0 +IDDeviceMaster = SAMIP_50ED + +[ATTRIBUTES] +Incl_Orientation = up +Incl_Xgain = 1.0 +Incl_Xoffset = 125 +Incl_Ygain = 0.9375 +Incl_Yoffset = 126 +Incl_KBG = 1.2073 +Incl_Kref = 0.1275 +Press_Current_mA = 1.08 +Press_Surface_bar = 5.57 +Press_Gain = 2.7 +WithIncl = 1 +WithPress = 1 +Press_Sens_mV_bar_4mA = 71.36 +Press_Sens_mV_bar_1mA = 17.84 +Press_Type = PA-10/TAB/10bar +CalibrationDate = 08.06.2018 +[END] of [ATTRIBUTES] +[END] of [DEVICE] + + +[DEVICE] +Version = 0 +IDDevice = SAM_859F +IDDeviceType = SAM +IDDeviceTypeSub1 = ACC-2 +IDDeviceTypeSub2 = VIS +IDDeviceTypeSub3 = +DateTime = 2018-05-30 12:14:10 +Comment = +RecordType = 0 +IDDeviceMaster = SAMIP_50ED + +[ATTRIBUTES] +c0s = +3.019290000E+02 +c1s = +3.345130000E+00 +c2s = +2.651460000E-04 +c3s = -1.753680000E-06 +DarkPixelStart = 237 +DarkPixelStop = 254 +Reverse = 0 +c4s = +0.000000000E+00 +IDDataCal = DLAB_2019-08-28_14-44-55_098_198 +IDDataBack = DLAB_2019-08-28_12-24-09_763_812 +IDDataCalAQ = DLAB_2019-08-28_14-47-19_914_233 +Firmware = 2.06 +[END] of [ATTRIBUTES] +[END] of [DEVICE] + + diff --git a/calfile/profile/SAM_852F.ini b/calfile/profile/SAM_852F.ini new file mode 100644 index 0000000..e6c4904 --- /dev/null +++ b/calfile/profile/SAM_852F.ini @@ -0,0 +1,32 @@ +[Device] +Version = 0 +IDDevice = SAM_852F +IDDeviceType = SAM +IDDeviceTypeSub1 = ACC-2 +IDDeviceTypeSub2 = VIS +IDDeviceTypeSub3 = +RecordType = 0 +DateTime = 2016-12-07 12:03:12 +IDDeviceMaster = +Comment = + +[Attributes] +DarkPixelStart = 237 +DarkPixelStop = 254 +Firmware = 2.06 +IDDataBack = DLAB_2016-11-29_14-47-59_729_812 +IDDataCal = DLAB_2016-12-07_12-00-24_364_510 +IDDataCalAQ = DLAB_2016-12-07_12-02-43_591_545 +IntegrationTime = 0 +Reverse = 0 +SerialNo_MMS = 103307 +WavelengthRange = 310..1100 +c0s = 299.895 +c1s = 3.31161 +c2s = 0.00031652 +c3s = -1.73194e-06 +c4s = +0.000000000E+00 +cs = 102842 +[END] of [Attributes] +[END] of [Device] + diff --git a/calfile/profile/SAM_859F.ini b/calfile/profile/SAM_859F.ini new file mode 100644 index 0000000..a441025 --- /dev/null +++ b/calfile/profile/SAM_859F.ini @@ -0,0 +1,30 @@ +[Device] +Version = 0 +IDDevice = SAM_859F +IDDeviceType = SAM +IDDeviceTypeSub1 = ARC +IDDeviceTypeSub2 = VIS +IDDeviceTypeSub3 = +RecordType = 0 +DateTime = 2018-05-24 13:30:20 +IDDeviceMaster = +Comment = ARC VIS + +[Attributes] +DarkPixelStart = 237 +DarkPixelStop = 254 +Firmware = 2.06 +IDDataBack = DLAB_2018-05-04_11-56-28_529_586 +IDDataCal = DLAB_2018-05-24_13-29-20_305_176 +IDDataCalAQ = DLAB_2018-05-24_13-29-21_895_177 +IntegrationTime = 0 +Reverse = 0 +SerialNo_MMS = +c0s = 299.971 +c1s = 3.32431 +c2s = 0.000391882 +c3s = -1.91435e-06 +c4s = +0.000000000E+00 +[END] of [Attributes] +[END] of [Device] + diff --git a/calfile/profile/SAM_85B5.ini b/calfile/profile/SAM_85B5.ini new file mode 100644 index 0000000..254132b --- /dev/null +++ b/calfile/profile/SAM_85B5.ini @@ -0,0 +1,30 @@ +[Device] +Version = 0 +IDDevice = SAM_85B5 +IDDeviceType = SAM +IDDeviceTypeSub1 = ARC +IDDeviceTypeSub2 = VIS +IDDeviceTypeSub3 = +RecordType = 0 +DateTime = 2018-06-13 11:58:48 +IDDeviceMaster = +Comment = ARC VIS + +[Attributes] +DarkPixelStart = 237 +DarkPixelStop = 254 +Firmware = 2.06 +IDDataBack = DLAB_2018-06-11_15-23-57_730_586 +IDDataCal = DLAB_2018-06-13_11-56-08_604_111 +IDDataCalAQ = DLAB_2018-06-13_11-58-21_312_112 +IntegrationTime = 0 +Reverse = 0 +SerialNo_MMS = +c0s = 300.14 +c1s = 3.3268 +c2s = 0.000314225 +c3s = -1.90331e-06 +c4s = +0.000000000E+00 +[END] of [Attributes] +[END] of [Device] + diff --git a/config.yml b/config.yml index 9cc6a8e..5bd9159 100644 --- a/config.yml +++ b/config.yml @@ -1,20 +1,11 @@ 2: 1: - FUNC: Lsky - SN: '85B5' - 2: - FUNC: Esky + FUNC: Ed SN: '50ED' - 3: - FUNC: Lwater - SN: '852F' -3: - 1: - FUNC: Lsky - SN: '85B5' 2: FUNC: Esky - SN: '50ED' + SN: '85B5' 3: - FUNC: Lwater + FUNC: Lu SN: '852F' + diff --git a/myconfig.py b/myconfig.py index db93dec..5696ae6 100644 --- a/myconfig.py +++ b/myconfig.py @@ -60,8 +60,9 @@ class RamsesPROFILE(Enum): Ed = 1 Esky = 2 Lu = 3 #upwelling - Lw = 4 - Rs = 5 + Res = 4 # 多组数据获得一个 Kd Ed0 Ku Lu0 Lw Rs + # Lw = 4 + # Rs = 5 IP_CAL = { "Incl_Orientation": "up", @@ -162,19 +163,19 @@ class MyConfig(object): if self.device_type == None: self.system_cfg = None temp_cfg = {} - if self.device_type == DeviceType.AWRAMS: + if self.device_type == DeviceType.AWRAMS.name: temp_cfg = { 1: {"SN": "85B5", "FUNC": RamsesAWRAMS(1).name}, 2: {"SN": "50ED", "FUNC": RamsesAWRAMS(2).name}, 3: {"SN": "852F", "FUNC": RamsesAWRAMS(3).name} } - if self.device_type == DeviceType.SURFACE: + if self.device_type == DeviceType.SURFACE.name: temp_cfg = { 1: {"SN": "85B5", "FUNC": RamsesSURFACE(1).name}, 2: {"SN": "50ED", "FUNC": RamsesSURFACE(2).name}, 3: {"SN": "852F", "FUNC": RamsesSURFACE(3).name} } - if self.device_type == DeviceType.PROFILE: + if self.device_type == DeviceType.PROFILE.name: temp_cfg = { 1: {"SN": "85B5", "FUNC": RamsesPROFILE(1).name}, 2: {"SN": "50ED", "FUNC": RamsesPROFILE(2).name}, diff --git a/mynumpy.py b/mynumpy.py new file mode 100644 index 0000000..f927121 --- /dev/null +++ b/mynumpy.py @@ -0,0 +1,199 @@ +import numpy as np +from pathlib import Path +TOKEN = ";" +SAVE_EXT_NAME = ".csv" + +class MyNumpy(object): + + def __init__(self,): + # self.first_ndarray = np.array([]) + # self.two_d_ndarray = np.ndarray([]) + pass + + def row_stack_nd_nd(self, nd1:np.ndarray, nd2:np.ndarray): + if nd1.ndim == 1: + np.stack( (nd1, nd2), 0) # 两个一位数组 ，0 上下叠加，1：转置水平叠加 + pass + else: + np.vstack( (nd1, nd2)) # 垂直上下叠加 + pass + pass + + def col_stack_nd_nd(self,nd1:np.ndarray, nd2:np.ndarray): + if nd1.ndim == 1: + np.stack( (nd1, nd2), 1) # 两个一位数组 ，0 上下叠加，1：转置水平叠加 + pass + else: + np.hstack( (nd1, nd2.reshape(-1,1)) ) # 垂直上下叠加 + pass + + def get_time_wl_data_from_csv(self, fpath:Path, sn,fname): + data =[] + + file_name = fpath.joinpath( fname + SAVE_EXT_NAME) + + try: + readout = np.loadtxt(file_name, dtype = float, delimiter = TOKEN) + except IOError: + # self.makeMsg( 2, file_name + " 文件不存在 " ) + readout = np.array([]) + raise Exception( "IOError : 文件不存在") + except Exception as e : + # self.makeMsg( 2, "警告： %s" %e ) + readout = np.array([]) + raise Exception( e) + + first_column = readout[1:,0] + header = readout[0,1:] + data = readout[1:,1:] + + return first_column,header,data + pass + + def get_header_data_from_csv(self, fpath:Path, sn,fname): + data =[] + + file_name = fpath.joinpath( fname + SAVE_EXT_NAME) + + try: + readout = np.loadtxt(file_name, dtype = float, delimiter = TOKEN) + except IOError: + # self.makeMsg( 2, file_name + " 文件不存在 " ) + readout = np.array([]) + raise Exception( "IOError : 文件不存在") + except Exception as e : + # self.makeMsg( 2, "警告 %s" % e ) + readout = np.array([]) + + header = readout[0,:] + data = readout[1:,:] + + return header,data + pass + + def combine_col_row_data (self, col, row, data ): + """ + @description : 结合 时间 波长 数据，存到 csv + 考虑 data 是一维的情况，不考虑为空 + col header data 皆为 ndarray 格式 + col data 二维 ,header 一维二维都可以 尽量用2维 + """ + + print( "__combine_col_row_data and return" ) + + # print( col.shape ) + # print( row.shape ) + # print( data.shape ) + + new_d = np.array( [ ] ) + + # 处理数据维度不符 + if col.shape[0] != data.shape[0]: + raise Exception("ndarray shape 不对不能合并！") + return new_d + + if row.shape[1] != col.shape[1] + data.shape[1]: + raise Exception("ndarray shape 不对不能合并！") + return new_d + + # 给新数据 拼接上新的时间 column + + try: + new_d = np.column_stack( ( col, data) ) + except Exception as e : + raise Exception("合并数据col data 失败！") + + # 拼接上波长作为 头部 + try: + new_d = np.row_stack( ( row ,new_d ) ) + except Exception as e : + raise Exception("合并数据row data 失败！") + + # print( " new_d %s " % new_d.shape) + return new_d + + pass + + def combine_col_row_data_to_csv(self,col,row,data, path_name:Path): + """ + @description : 结合 时间 波长 数据，存到 csv + 考虑 data 是一维的情况，不考虑为空 + col header data 皆为 ndarray 格式 + col data 二维 ,header 一维二维都可以 尽量用2维 + """ + + print( "__combine_col_row_data_to_csv" ) + + # print( col.shape ) + # print( row.shape ) + # print( data.shape ) + + new_d = np.array( [ ] ) + + # 处理数据维度不符 + if col.shape[0] != data.shape[0]: + return new_d + + if row.shape[0] != col.shape[1] + data.shape[1]: + return new_d + + # 给新数据 拼接上新的时间 column + + try: + new_d = np.column_stack( ( col, data) ) + except Exception as e : + # self.makeMsg ( 2, "警告：拼接出错。 " + e ) + raise Exception("合并数据col data 失败！") + + # 拼接上波长作为 头部 + try: + new_d = np.row_stack( ( row ,new_d ) ) + except Exception as e : + # self.makeMsg ( 2, "警告：拼接出错。 " + e ) + raise Exception("合并数据row data 失败！") + + # print( " new_d %s " % new_d.shape) + try: + np.savetxt( path_name, new_d, fmt='%8f', delimiter=TOKEN) + except Exception as e: + # self.makeMsg(2, "警告：%s %s " % (e, path_name) ) + raise Exception("保存文件 失败！") + + pass + + pass + +if __name__ == '__main__': + mnp = MyNumpy() + a = np.arange(0, 60, 5) + a = a.reshape(3, 4) + print(a) + + aa = np.array([1,2,3]) + bb = np.array([4,5,6]) + cc = np.array([7,8,9]) + s = np.stack( (aa,bb) ,0 ) # 行合并 + + ss = np.vstack( (s,cc) ) + sss = np.stack( (aa,bb) ,1 ) + ssss = np.hstack( (sss,cc.reshape(-1,1))) # 列合并,reshape(-1,1) + aa = np.stack( (aa,bb) ,0 ) # 行合并 + + print(s) + print(ss) + print(sss) + print(cc) + print(cc.reshape(-1,1)) + print(ssss) + print(aa) + pass + +''' +np.stack( (aa,bb) ,0 ) 增加了维度 +np.stack( (aa,bb) ,1 ) + +np.vstack( (s,cc) ) # 不增加维度 + +np.column_stack( (sss,cc.T)) + +''' \ No newline at end of file diff --git a/profiler.py b/profiler.py index 2a4998c..cc3f819 100644 --- a/profiler.py +++ b/profiler.py @@ -14,6 +14,8 @@ import time import locale import struct import numpy as np +from scipy.optimize import leastsq + from pathlib import PurePath,Path from myconfig import CURRENT_DIR,DATA_DIR,OUTPUT_DIR,NEWLINE,ROWFACTOR,SAVE_EXT_NAME,TOKEN from myconfig import DeviceType,RamsesSURFACE,RamsesAWRAMS,RamsesPROFILE @@ -319,6 +321,10 @@ class Profiler(object): 入口： dealOneMeasurement_Handheld() 参考： 分组写成函数,一次测量多组数据分离出来。 保存： 按时间文件夹保存 + @comment + 1号数据： Ed 带倾斜 samip + 2号数据： Esky 可能没有 ? 如何判断，信息帧的序列号？ 数据？ + 3号数据： Lu """ self.device_type = DeviceType.PROFILE.name self.device_enum = None @@ -355,9 +361,9 @@ class Profiler(object): self.info_dict = {} self.res = {} # 最终结果{ld: esky: lu: Lw: Rs:} self.depth_m_offset = 0.0 - self.depth_m = 0.0 - self.tilt_x = 0.0 - self.tilt_y = 0.0 + # self.depth_m = 0.0 + # self.tilt_x = 0.0 + # self.tilt_y = 0.0 self.depth_tilt_x_y = [] # [ {"depth":, "tilt_x": ,"tilt_y": }] # 方法 @@ -552,7 +558,6 @@ class Profiler(object): pass # 当前文件名 ？ - self.hhp.setMode(1) self.current_measure_time = self.getCurrentMeasureTimeFromInfoDict() self.get_ymdhms() @@ -571,15 +576,24 @@ class Profiler(object): self.decode_sensor_buf() # 解析Buf, 对buf分组，获得[{lsky: esky : lwater} .... ] - # 可能需要 传感器序列号数据，判断几个传感器。 如何判断几个传感器？？ - len_total = len(self.intensity_before_avg) - if len_total%self.measurement_repeat != 0: - self.res = {} - return # 返回退出 - + # 可能需要 传感器序列号数据，判断几个传感器。 如何判断几个传感器？？????? + # 剖面 + + # 去掉倾斜不达标的数据 -- 格式ndarray 多维数组？ + self.remove_data_with_tilt_beyond( self.depth_tilt_x_y, self.intensity_before_avg ) + + # 获得数据去拟合 -- 分拆Ed Lu + depth_ndarray = np.array(self.depth_tilt_x_y) + depth_ndarray = depth_ndarray[:,0] + data = np.array( self.intensity_before_avg ) + + + + + res = self.leastsq_fitting( self.depth_tilt_x_y, self.intensity_before_avg ) + - # 剖面 - 校正文件要用水的，计算深度值 ？？ # group_num = int(len_total/self.measurement_repeat) @@ -591,6 +605,59 @@ class Profiler(object): # self.dealMultiGroup(group_num) + def remove_data_with_tilt_beyond( self, arr_x:list, arr_y:list, degree): + if len(arr_x) != len(arr_y.shape): + raise MyException( f"深度和数据的维度有误" ) + pass + for i in range( len(arr_x),0,-1 ): + if abs( arr_x[i][1] ) > degree or abs( arr_x[i][2] ) > degree: + arr_x.pop(i) + arr_y.pop(i) + pass + pass + pass + + def leastsq_fitting( self, arr_x, arr_y ): + """ + @description : arr_x arr_y 是不同波长数据 + 对其列上的每个值拟合获得kd ln(lu0) + 也可以对 arr_y 先切片 + 最小二乘只能遍历处理 + arr_y 包含 Ed Lu 返回两组数据 + """ + log.info(f" ->>>> ", __name__, 'leastsq_fitting') + res = np.array([]) + + print(arr_x.shape) + print(arr_y.shape) + + for i in range( arr_y.shape[1] ) : + # 切出第一列 + row_ = arr_x + column_ = arr_y[:,i] + # 拟合 + p0 = [1,20] + para = leastsq( self.fitting_error, p0, args = ( row_, column_ ) ) + if not res.size : + res = para[0] + else: + res = np.vstack( (res, para[0]) ) + # 转置 返回,第一列为 k, 第二列为 ln(Lu0-) + print(" __ndarray_ln_leastsq_fitting ...... %s %s " % res.shape ) + print(res) + return res.T + + # 需要拟合的函数 fitting_func + def fitting_func( self, p, x ): + k,b=p + return k*x+b + + # 拟合的残差函数 + def fitting_error(self,p,x,y): + return self.fitting_func(p,x)-y + + + def dealMultiGroup(self, group_num:int ): log.info(f"group_num: {group_num}", __name__, "dealMultiGroup") # 分组进行处理 @@ -735,13 +802,18 @@ class Profiler(object): cfg = self.getCfgByFunc( func) if i == 1 or i==3: # 两个空气中一个水中注意序号 self.ramses.setMode(1) # 水中？？？ 另外一个是空气中的 + if i == 1: # 获得深度倾斜 + # self.decode_ip_buf( ip_buf, cfg ) + x_y_depth_m = self.ramses.decode_ip_buf( ip_buf, cfg) + self.depth_tilt_x_y.append(x_y_depth_m) self.ramses.setCalCfg(cfg) self.ramses.resetItSpectrum() self.ramses.ConvertAndCalibrate() res.update({ func : self.ramses.spectrum }) # 处理 深度倾斜 数据 - self.decode_ip_buf(ip_buf) + # depth_m_x_y = self.ramses.decode_ip_buf( ip_buf, cfg) + # self.decode_ip_buf(ip_buf) self.intensity_before_avg.append( res ) pass @@ -774,12 +846,10 @@ class Profiler(object): self.intensity_before_avg.append( res ) pass - def decode_ip_buf( self,buf) : + def decode_ip_buf( self, buf, ip_cal) : '''Ed校正文件去处理数据''' - depth_m = 0.0 - tilt_x = 0.0 - tilt_y = 0.0 - self.depth_tilt_x_y.append( {"depth":depth_m, "tilt_x":tilt_x ,"tilt_y":tilt_y } ) + res = self.ramses.decode_ip_buf(buf,ip_cal) + self.depth_tilt_x_y.append(res) pass def getAvg( self, d:list) :