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    • 2. 发明申请
    • BIOMASS GASIFICATION DEVICE AND PROCESS
    • 生物质气化装置和过程
    • WO2010074574A2
    • 2010-07-01
    • PCT/NL2009/050799
    • 2009-12-23
    • HOLLAND XINBAO B.V.CHAO, Zhang Jian
    • CHAO, Zhang Jian
    • C10L3/08
    • C10G3/00C10G31/09C10G2300/1014C10J2300/0916C10J2300/0966C10L3/08C10L3/10Y02P20/145Y02P30/20
    • The invention is in the field of biogas production. In particular the invention is directed to a process and apparatus for the conversion of carbon and hydrogen containing materials into biogas (viz. a gas stream comprising CH4) containing material and subsequent purification of the resulting gas. According to the invention biogas is produced from carbon and hydrogen containing starting material. The unpurified biogas is subsequently purified by subjecting it to a filtration step, which comprises feeding said biogas to at least one cyclone providing cyclone action, at least one water filter where said biogas is washed with water and at least one dry filter where said biogas is dry-filtered, thus producing a purified biogas, followed by subjecting said purified biogas to compression, preferably using a water ring compressor, followed by feeding the compressed gas to a water-gas separator.
    • 本发明属于沼气生产领域。 特别地,本发明涉及一种用于将含碳和氢的材料转化为沼气(即含有CH 4的气体流)的材料并随后纯化所得气体的方法和设备。 根据本发明,生物气由含碳和氢的原料生产。 未纯化的沼气随后通过对其进行过滤步骤来纯化,所述过滤步骤包括将所述沼气供给至少一个提供旋风作用的旋风分离器,至少一个水过滤器,其中所述沼气用水洗涤,以及至少一个干燥过滤器,其中所述沼气为 干燥过滤,从而产生纯化的沼气,然后优选使用水环压缩机对所述纯化的沼气进行压缩,随后将压缩气体供给到水 - 气分离器中。
    • 3. 发明申请
    • BIOMASS GASIFICATION DEVICE AND PROCESS
    • 生物质气化装置及工艺
    • WO2010074574A3
    • 2010-12-16
    • PCT/NL2009050799
    • 2009-12-23
    • HOLLAND XINBAO B VCHAO ZHANG JIAN
    • CHAO ZHANG JIAN
    • C10L3/08C10K1/02
    • C10G3/00C10G31/09C10G2300/1014C10J2300/0916C10J2300/0966C10L3/08C10L3/10Y02P20/145Y02P30/20
    • The invention is in the field of biogas production. In particular the invention is directed to a process and apparatus for the conversion of carbon and hydrogen containing materials into biogas (viz. a gas stream comprising CH4) containing material and subsequent purification of the resulting gas. According to the invention biogas is produced from carbon and hydrogen containing starting material. The unpurified biogas is subsequently purified by subjecting it to a filtration step, which comprises feeding said biogas to at least one cyclone providing cyclone action, at least one water filter where said biogas is washed with water and at least one dry filter where said biogas is dry-filtered, thus producing a purified biogas, followed by subjecting said purified biogas to compression, preferably using a water ring compressor, followed by feeding the compressed gas to a water-gas separator.
    • 本发明在沼气生产领域。 特别地,本发明涉及用于将含碳和氢的材料转化为生物气体(即包含CH 4的气流)的材料并随后纯化所得气体的方法和装置。 根据本发明,沼气由含碳原料和含氢原料生产。 未净化的生物气体随后经过过滤步骤而被纯化,所述过滤步骤包括将所述生物气体进料至提供旋风作用的至少一个旋风分离器,至少一个水过滤器,其中所述生物气体用水和至少一个干燥过滤器,其中所述生物气体是 干燥过滤,从而产生纯化的沼气,然后优选使用水环压缩机对所述纯化的沼气进行压缩,然后将压缩气体送入水煤气分离器。
    • 6. 发明申请
    • OPTIMIZED ARTIFICIAL INTELLIGENCE MACHINES THAT ALLOCATE PATROL AGENTS TO MINIMIZE OPPORTUNISTIC CRIME BASED ON LEARNED MODEL
    • 优化人工智能机器,根据学习型号最小化机会性犯罪分配PATROL代理
    • US20160321563A1
    • 2016-11-03
    • US15144184
    • 2016-05-02
    • Arunesh SinhaMilind TambeChao Zhang
    • Arunesh SinhaMilind TambeChao Zhang
    • G06N99/00G06Q50/26
    • G06N20/00G06N3/008G06N7/005G06Q50/26
    • An optimized artificial intelligence machine may: receive information indicative of the times, locations, and types of crimes that were committed over a period of time in a geographic area; receive information indicative of the number and locations of patrol agents that were patrolling during the period of time; build a learning model based on the received information that learns the relationships between the locations of the patrol agents and the crimes that were committed; and determine whether and where criminals would commit new crimes based on the learning model and a different number of patrol agents or locations of patrol agents. The optimized artificial intelligence machine may determine an optimum location of a pre-determined number of patrolling agents to minimize the number or seriousness of crimes in a geographic area based on the learned model of the relationships between the locations of the patrol agents and the crimes that were committed, and may automatically activate or position one or more of the patrolling agents in accordance with the determination.
    • 优化的人造智能机器可以:接收指示在一段时间内在地理区域中犯下的犯罪的次数,位置和类型的信息; 收到指示在该段期间巡逻的巡逻人员的人数和地点的资料; 根据收到的信息,建立学习模式,了解巡逻人员的位置与所犯罪行之间的关系; 并根据学习模式和不同数量的巡逻人员或巡逻人员的地点确定犯罪分子是否以及在哪里犯新的罪行。 优化的人造智能机器可以基于学习的巡逻人员的位置和犯罪的位置之间的关系的模型来确定预定数量的巡逻者的最佳位置,以最小化地理区域中的犯罪的数量或严重性 并且可以根据确定自动激活或定位一个或多个巡逻代理。