#! python3 # -*- encoding: utf-8 -*- ''' @File : Ramses.py @Time : 2023/03/03 11:09:50 @Author : Jim @ Yiwin @Version : 1.0 @Contact : jim@yi-win.com @Desc : @para : 23 ..07 .... 06 05 04 03 02 01 00 ip信息不包含 ''' import struct import numpy as np from pathlib import Path from tools.mylogger import log from myconfig import RamsesAWRAMS, RamsesSURFACE, RamsesPROFILE, DeviceType class Ramses(object): def __init__(self,): """ @description :处理Ramses的数据标定 Hex -- realWavelength Intensity @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 ,后一位高位, 选 07 """ self.mode = 0 # 默认0 空气中,1:水中 self.buf = b'' 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.ip = [] self.cal_cfg = {} # 单个传感器标定文件还是多个传感器的? pass def setBuf( self, buf: bytes ): self.buf = buf pass def setMode( self, mode = 1 ): self.mode = mode pass def setCalCfg(self, d: dict): self.cal_cfg = d pass def getRealWavelength(self, d: dict): self.cal_cfg = d pass def get_ip(self): return self.ip def getSpectrum(self): return self.spectrum def resetPara(self, ): self.buf = b'' self.it = None self.light_int = None self.spectrum = None # 光谱强度 self.cal_cfg = {} pass def resetItSpectrum(self, ): self.it = None self.spectrum = None # 光谱强度 pass def dealBuf(self, ip_included:bool=False): """ 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 = {} len_ = len(self.buf) 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: {}} ) 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 ) 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 # 转换一个传感器的部分 def __ConvertBytesToInt(self ) -> None: 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'] ) 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 def printPara(self, ): print(f"**************Ramses printPara*******************") print(f"{self.buf}") print(f"{self.cal_cfg}") print(f"{self.it}") print(f"{self.light_int}") print(f"{self.spectrum}") print(f"**************Ramses printPara*******************") pass if __name__ == "__main__": log.info(f"******** Awarms server initiate *********", __name__, "", "") r = Ramses() buf_str = "\ 23a0000007fefe0a0781067d067d068e0693069c069c06b006b506cb06e40619076607e1076c081509cd09bb0a7d0bee0b1d0c6d0cca0ca40ddc0f30135b18b4224d320e43f852c8\ 23a0000006fefe17639c71c97c9484bb89358be98e5d98b1a37eadccb66abd26be31b97db124aa18a3f29c0499349735968e93a48eea8a028bc28cec8d048f1c92c096de9ab99d43\ 23a0000005fefee0a157a9ecb1b1b97dc034c507c741c7d2c65ec550c20dbde9b535ae56a60a9e2296cd8ee887278129798170c669b16503632e61605f3a5def5a8e5862561154be\ 23a0000004fefe3c51f54dda4a0c48634595426a3f5a3cc539903767362b36cc351f356634b633fc32c4310630fb2ec32fe63199349037e03ac03dc03eae3c303a9639d13a413da7\ 23a0000003fefe97412746bc49404caa4dc54d374ca646d63bde326b332739e43c503d2b3c363aca37ef342d32c22f782d1d2bd328ec250222101e691b2b1a7119d3184018fa174d\ 23a0000002fefed3177a17e3160616f81423149313f11233126711d8103b10a40f160f8a0efb0d580d660c6f0bd80aa10a580a000ab4099b0994097109e2082c087a0736072c077d\ 23a0000001fefe2a071e071607140718071e073c074d076a076e076b076007670763076c0760075c073d07350724071207fb06ef06d706cc06b706a506960684067b0672066306a2\ 23a0000000fefe58065406500642064e064306470642063f064806410644064306430641064206460640063c063e063e063d064406430644063c063c063c063c06400640064906ed\ 23a0000007fefe0a071b071c07260737073e0749075907650774078b07c0072c08e3082b0ada0be80d9c107b147318931ae51add1a271a77192f1bfb1d99207c265c30c738f03d53\ 23a0000006fefe07438f489d4d8452d957945cff639171a5832a97deab7fbe09c86cc5acb9d5ab299e90915287de7f8b7ae275ed6f056aff664f662665bc63936335655767926879\ 23a0000005fefec269206d3e724377fe7b7a8050831f85b68637881689e4884787008580823d7f887bee773d7496702a6cde654c5f895a1f570d5416514d4e9d4bde4897468c44c3\ 23a0000004fefe71421640db3dc83bbb39533777346c31b92e912c152b5b2aff292129e727cb26d925fd249223b4214020da1fe91ff41f28209420dc201520071e671c221c8d1cfe\ 23a0000003fefecd1dd31fe72164235924cb24b924f72331211e1ca018ef19221d121f621fe91e081ed51c761b311a2f193c18651788166015a013de11d1106e1041101810e80f2e\ 23a0000002fefee50fd90fbc0f6d0ff70e610ee00d930d460de40c900c450c010cbd0b7c0b480bfc0aab0a2c0a9e094d092b09fb08d008a208990881087d083908e6078d07660747\ 23a0000001fefe5b075a07500751074d074e0751075d076807730788077e077c077c07810777077a076c0765075c075607480740073607270723070d070d070b07ff06fd06f0062f\ 23a0000000fefef606f106ed06f506ef06eb06f106ec06f006e906e806ed06e606ef06e506ea06ec06ee06eb06e906ee06f006ef06ea06e906e606e606e606ec06ea06ea06f506f2\ 23a0000007fefe0605830479047d047e04810482048204850487048b048c04850487048c049304950498049c04a804a904b604b804c604d004e104f104190546059805ff059a06bb\ 23a0000006fefe90073209ea0b7610c117cc22b2324a487b645e8798acf2c927d28dc1f2a1ac809664804e543d7a308327a321d81dab1b0f1bca1bb41dba2098243329382e773335\ 23a0000005fefeca38213e544329486f4c1c500653335592564f577d573b57a556b4557e540a534451424f004d714a9b47994458410e3e9c3af8368c33b630982eca2c052b3429ae\ 23a0000004fefe632763255a234821321f0e1d061b291983171e16d814a91379124b1138104b0f610e990dd80c240c880bfc0a7b0af8097709020990082508de07c507ba07a50762\ 23a0000003fefe950781076407460727070007d306ab066e06270605060d0614061306fe05e805d105b405a00586057105630549053d0528051105fd04f304ee04e404dc04dd04c3\ 23a0000002fefed804d904d004c604bf04b904b904b104a804a604a6049d04980496048f04970491048c04880486047e0484047a047d047b047c0478047a04760476047004700430\ 23a0000001fefe6f0474046c046d0472046d047304750470046e04760472046f047604700473046f04730470047504700470046d046b047004710470046e046d046a046b046904e4\ 23a0000000fefe690470046e046b046c04680468046e0466046a046a0469046b046d04640466046c046c046b046a04660466046b046c046a046a0468046f046804740471048d0417\ " buf = bytearray.fromhex(buf_str) one_senor = buf[:576] r.setHex(one_senor) r.ConvertBytesToInt() # print(len(buf)) # # print(buf[:576]) # print(buf[:576].hex()) # print(buf[576:578].hex() )