农业工程学报
農業工程學報
농업공정학보
2015年
7期
151-156
,共6页
张胜茂%崔雪森%伍玉梅%郑巧玲%王晓璇%樊伟
張勝茂%崔雪森%伍玉梅%鄭巧玲%王曉璇%樊偉
장성무%최설삼%오옥매%정교령%왕효선%번위
渔船%监控%系统%北斗卫星%捕捞努力量
漁船%鑑控%繫統%北鬥衛星%捕撈努力量
어선%감공%계통%북두위성%포로노역량
fishing vessel%monitoring%systems%Beidou satellite%fishing effort
为了快速大范围掌握捕捞努力量时空分布特点,借助北斗船位数据采用统计方法获取拖网捕捞状态的速度阈值,根据阈值判断捕捞状态点,捕捞状态点之间时间组成累计捕捞时间,累计捕捞时间与功率的乘积作为捕捞努力量,根据捕捞努力量分析拖网捕捞时空特征。2013年象山在近海拖网捕捞努力量从时间上可以分为3个时间段,即2~5月、6~9月、10~12月与1月。从空间来看捕捞努力量以象山附近的渔场为中心由高到低向外扩展,形成近似的同心圆。从拖网捕捞时间来看分为全年近海渔场、春秋季近海渔场、春秋冬外海渔场、春季或秋季周边外缘渔场。利用北斗数据提取方法计算6个网次时长,并与手工出海调查记录的时长比较,两者相对误差在5%以内。
為瞭快速大範圍掌握捕撈努力量時空分佈特點,藉助北鬥船位數據採用統計方法穫取拖網捕撈狀態的速度閾值,根據閾值判斷捕撈狀態點,捕撈狀態點之間時間組成纍計捕撈時間,纍計捕撈時間與功率的乘積作為捕撈努力量,根據捕撈努力量分析拖網捕撈時空特徵。2013年象山在近海拖網捕撈努力量從時間上可以分為3箇時間段,即2~5月、6~9月、10~12月與1月。從空間來看捕撈努力量以象山附近的漁場為中心由高到低嚮外擴展,形成近似的同心圓。從拖網捕撈時間來看分為全年近海漁場、春鞦季近海漁場、春鞦鼕外海漁場、春季或鞦季週邊外緣漁場。利用北鬥數據提取方法計算6箇網次時長,併與手工齣海調查記錄的時長比較,兩者相對誤差在5%以內。
위료쾌속대범위장악포로노역량시공분포특점,차조북두선위수거채용통계방법획취타망포로상태적속도역치,근거역치판단포로상태점,포로상태점지간시간조성루계포로시간,루계포로시간여공솔적승적작위포로노역량,근거포로노역량분석타망포로시공특정。2013년상산재근해타망포로노역량종시간상가이분위3개시간단,즉2~5월、6~9월、10~12월여1월。종공간래간포로노역량이상산부근적어장위중심유고도저향외확전,형성근사적동심원。종타망포로시간래간분위전년근해어장、춘추계근해어장、춘추동외해어장、춘계혹추계주변외연어장。이용북두수거제취방법계산6개망차시장,병여수공출해조사기록적시장비교,량자상대오차재5%이내。
More than fifty thousand fishing vessels have installed the terminal unit of the Beidou satellite positing system since the Ministry of Agriculture of China started to construct fishing vessels monitoring system in Nansha islands in 2006. This system mainly aims to manage vessel fishing, fishery safety and emergency rescue. The data sent by the terminal unit have a temporal resolution of 3 minutes, and a spatial resolution of 10 meters. Thus, after carrying out these fishing services almost for 9 years, the system has recorded billions of historical cruising data for each vessel, such as time, position, speed, direction and rate of turn. These data can be analyzed deeply by big data mining technology. To deeply mine the fishery information from the historical data, the cooperation has been carried out between East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences (ECSFRI) and several Beidou operators. Performing statistical computations for traditional fishing effort takes much time and effort, and the macro fishing intensity cannot be accessed immediately. Through the Beidou satellite vessel position monitoring system, the position, course, speed and other information of vessels can be got and used to data mining. The information of every point position of trawlers includes speed, course, time and other information. With the information, the state of trawlers can be determined. In this paper, the speed threshold of each vessel’s fishing condition is obtained by the statistics of navigational speed. And fishing state points can be judged by combining the speed thresholds. When the speed and course are in the range of threshold value, the trawler is in the state of fishing. The fishing effort in the grid is calculated based on the cumulative fishing time in fishing state points of each vessel. There may be many trawlers in one fishing grid. The work of one trawler in fishing is divided into many hauls. In general, a haul lasts a few hours. When a haul is over, the next haul will get under way after some interval of time. Every haul has several discrete points of vessel position. The first summation is the cumulative fishing for one haul;the second summation is the cumulative fishing for several hauls of one trawler in a period of time; the third summation is the cumulative fishing of all trawlers in one fishing grid. The cumulative fishing is the product of the cumulative fishing time and the vessel power (kW·h). This method has the characteristics of real-time, large-scale, fast and high resolution, which can provide good service in fishery resource protection. Ship position, heading, speed and other information obtained from the Beidou Vessel Monitoring System can work for mining the trawler status, calculating cumulative fishing time and effect, as well as analyzing temporal and spatial characteristics on the basis of fishing effort. In 2013, trawling fishing effort of Xiangshan Harbor in offshore area could be divided into 3 periods which were from February to May, from June to September and from October to December and January. From a spatial perspective, fishing effort formed approximate concentric circles, centering on the fisheries near Xiangshan Harbor and expanding from high to low. From the perspective of trawling time, there were annual inshore fisheries, spring-autumn inshore fisheries, spring-autumn off-sea fisheries and spring-autumn outer edge fisheries. The duration of 6 net times were manually recorded at sea investigation. And the Beidou data have also been used to calculate the time. The relative error between them is less than 5%.