WO2022099448A1 - "人-人工智能-机器人"协作功能材料自动化制备平台 - Google Patents

"人-人工智能-机器人"协作功能材料自动化制备平台 Download PDF

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WO2022099448A1
WO2022099448A1 PCT/CN2020/127768 CN2020127768W WO2022099448A1 WO 2022099448 A1 WO2022099448 A1 WO 2022099448A1 CN 2020127768 W CN2020127768 W CN 2020127768W WO 2022099448 A1 WO2022099448 A1 WO 2022099448A1
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raw material
area
reaction
robot
evaluation
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French (fr)
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赵海涛
喻学锋
康翼鸿
王佳宏
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Shenzhen Institute of Advanced Technology of CAS
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Shenzhen Institute of Advanced Technology of CAS
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00—Program-controlled manipulators
    • B25J9/16—Program controls

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  • the invention relates to the technical field of research and development of high-throughput functional materials, in particular to a biochemical synthesis experimental workstation based on the combination of artificial intelligence and robots for digital manufacturing and automatic screening, preparation, characterization and testing of new functional materials.
  • the purpose of the present invention is to realize human-artificial intelligence-robot collaboration through data-driven, machine learning and machine platforms, and to collaboratively propose a "human-artificial intelligence-robot" collaborative functional material automated preparation platform.
  • the desktop robot hardware platform is provided with a raw material area, a reaction area, a test area, an evaluation area, a vision module and a video monitoring module,
  • the raw material area is used for storing raw materials
  • the reaction zone is a reaction platform and a raw material extraction device
  • the testing area includes testing instruments,
  • the evaluation area includes an evaluation detector,
  • the intelligent control analysis center controls the raw material extraction device to extract the raw material in the raw material area, and sends it to the reaction platform for preparation to obtain the sample.
  • the samples are tested and analyzed.
  • the samples tested in the test area are transported to the evaluation area through the conveying device.
  • the evaluation detector in the evaluation area collects and analyzes the data of the sample to be tested, and the raw material area, reaction area, test area and evaluation area. All are monitored by the video monitoring module, and the monitoring information is uploaded to the intelligent control analysis center;
  • the vision module includes a lighting and photographing device, which collects images of the samples in the reaction area and transmits the collected images to an intelligent control and analysis center, which can collect the lighting and photographing devices, test and detect
  • a lighting and photographing device which collects images of the samples in the reaction area and transmits the collected images to an intelligent control and analysis center, which can collect the lighting and photographing devices, test and detect
  • the data collected by the instrument and the evaluation detector are uploaded to the internal database, and the software is used for calculation, analysis and machine learning, and the calculation results are output according to the preset model in the software to realize high-throughput testing.
  • the number of the above-mentioned raw material areas is plural, the number of the reaction platforms is plural, and the raw material areas and the reaction subareas are arranged at intervals.
  • the above-mentioned raw material extraction device includes a three-axis mechanical arm, and a pipette gun is arranged on the three-axis mechanical arm, and the reaction platform includes a plurality of transparent porous reaction plates, and the porous reaction plate is provided with a plurality of reaction holes.
  • the bottom of the reaction hole is covered with a rubber sleeve, the bottom of the rubber sleeve is also provided with a hole, and the underside of the porous reaction plate is provided with an illumination photographing device.
  • a temperature sensor and an ambient temperature regulator are also provided on the upper sides of the reaction zone and the raw material zone.
  • a number of raw material boxes are arranged in the above-mentioned raw material area for placing different stock solutions and/or raw materials.
  • the lighting and photographing device collects data by photographing the raw material box.
  • the above-mentioned lighting and photographing device includes a shadowless lamp installed on the hardware platform of the desktop robot, a column is arranged in the middle of the shadowless lamp, and a camera is embedded in the upper end of the column.
  • the side of the reaction zone is also provided with a vibration motor.
  • test detector is box-shaped, and the upper and bottom ends of the test detector are provided with a number of monochromatic light emitting heads, the lower side of the emitting head is provided with a receiving sensor, and the two sides of the receiving sensor are also provided with transmission. rollers.
  • the outer platform of the above-mentioned test detector is also provided with a transmission roller, and the transmission roller on the outer platform is also provided with a number of transparent porous microplates, and between the test area and the evaluation area. connected by the transfer rollers.
  • the above-mentioned evaluation detector includes a plurality of detection heads, a receiving plate is arranged on the lower side of the detection head, a sensor is arranged in the receiving plate, and conveying rollers are also arranged on both sides of the receiving plate.
  • the wheel transports the multiwell microplate between the test zone and the evaluation zone.
  • the above evaluation area is also connected with a waste collection area through a conveying roller, and the waste collection area includes a waste collection area groove, and the waste collection groove is rectangular.
  • the artificial intelligence-based automatic functional material testing device of the present invention enables the software layer (PYTHON, PYMATGEN, FACTSAGE, AFLOW, VASP, etc. software) relying on the hardware layer, that is, the desktop robot hardware platform, to the functional material, that is, the application layer (for the application layer).
  • the software layer PYTHON, PYMATGEN, FACTSAGE, AFLOW, VASP, etc. software
  • the hardware layer that is, the desktop robot hardware platform
  • the functional material that is, the application layer (for the application layer).
  • the material gene can be obtained by text mining of functional materials through artificial intelligence, and further high-throughput (that is, a large number of repeated operations in a short period of time) experiments and a series of detection calculations can be carried out through the device.
  • Self-learning enables the device to carry out more in-depth optimization experiments, optimize the material ratio, and finally obtain or calculate or analyze the required materials, thereby saving costs and time, making functions that would have taken years or even decades to complete.
  • Material research and development can be shortened to several months.
  • the design can be freely combined with each partition module, so as to realize not only the research and development of biomedicine, but also the research and development of electronic information, energy and environmental protection materials, and provide guidance data.
  • Fig. 1 is the overall operation schematic diagram of the present invention
  • Fig. 2 is the concrete schematic diagram of the main structure of the present invention.
  • FIG. 3 is a schematic side view of the main structure of the present invention.
  • FIG. 5 is a schematic structural diagram of a pipette gun of the present invention.
  • FIG. 6 is a schematic diagram of the installation position of the porous reaction plate and the illumination photographing device of the present invention.
  • FIG. 7 is a schematic diagram of an illumination photographing device of the present invention.
  • FIG. 8 is a schematic diagram of the porous reaction plate of the present invention.
  • Fig. 9 is another perspective schematic diagram of the porous reaction plate of the present invention.
  • FIG. 10 is a schematic diagram of the work flow of the test area of the present invention.
  • FIG. 11 is a schematic diagram of the test detector of the present invention.
  • FIG. 12 is a schematic diagram of the transmission of the porous microplate of the present invention.
  • FIG. 13 is a schematic diagram of the workflow of the evaluation area of the present invention.
  • Fig. 15 is a working flow chart of the present invention.
  • a "human-artificial intelligence-robot" collaborative functional material automated preparation platform includes a modular automated desktop robot hardware platform 1, and an intelligent control analysis center including a database and software.
  • the desktop robot hardware platform 1 is provided with a raw material area, a reaction area, a testing area, an evaluation area and a video monitoring module 35 .
  • the desktop robot hardware platform is provided with a raw material area, a reaction area, a testing area, an evaluation area, a vision module and a video monitoring module.
  • At least one material stock solution is stored in the raw material area, the reaction area includes a reaction platform and a raw material extraction device, the testing area includes a testing instrument, and the evaluation area includes an evaluation detector.
  • the intelligent control analysis center controls the raw material extraction device to extract the raw materials in the raw material area, and sends it to the reaction platform for preparation to obtain samples.
  • the samples are tested and analyzed.
  • the samples tested in the test area are transported to the evaluation area through the conveying device.
  • the evaluation detector in the evaluation area collects and analyzes the data of the sample to be tested, and the raw material area, reaction area, test area and evaluation area. All are monitored by the video monitoring module, and the monitoring information is uploaded to the intelligent control analysis center;
  • the vision module includes a lighting and photographing device, and the lighting and photographing device collects images of the samples in the reaction area and transmits the collected images to an intelligent control and analysis center.
  • the software layer includes an intelligent control and analysis center, and the intelligent control and analysis center can collect The data collected by the lighting photographing device, the test detector, and the evaluation detector are uploaded to the database therein, and the software is used for calculation, analysis, and machine learning, and the calculation results are output according to the preset model in the software to realize high-throughput. test.
  • the invention makes the software layer (PYTHON, PYMATGEN, FACTSAGE, AFLOW, VASP and other software) relying on the hardware layer, namely the desktop robot hardware platform, to the functional material, namely the application layer (for the fields of energy, environmental protection, electronic information, and biomedicine).
  • the software layer PYTHON, PYMATGEN, FACTSAGE, AFLOW, VASP and other software
  • the hardware layer namely the desktop robot hardware platform
  • the functional material namely the application layer (for the fields of energy, environmental protection, electronic information, and biomedicine).
  • high-throughput that is, a large number of repeated operations in a short period of time
  • experiments and a series of detection calculations can be carried out through the device, and the device can carry out more in-depth optimization experiments through the self-learning of the built-in artificial intelligence program to optimize materials. Proportion, and finally get or calculate or analyze the required materials.
  • the above-mentioned raw material extraction device includes a three-axis robotic arm 2 and a three-axis robotic arm 2 connected to a plurality of pipetting guns 5 , and the three-axis robotic arm is controlled by driving the three-axis robotic arm 2
  • the pipette gun 5 below 2 performs corresponding operations on each partition on the desktop robot hardware platform 1, and a separate micropump 6 is provided above each row of the pipette gun 5, as shown in FIG.
  • the micro-pump 6 performs a fine suction and discharge operation on each pipette gun 5 .
  • the raw material zone includes a plurality of raw material zones one 7 or two raw material zones 10, the reaction zone includes a plurality of reaction zones one 9 or two reaction zones 12, and the plurality of raw material zones one 7 or two raw material zones 10 and the A plurality of reaction zones one 9 or two reaction zones 12 are arranged at intervals, and a temperature sensor 4 and an ambient temperature regulator 3 are also provided on the upper side of the reaction zone and the raw material zone. Through the temperature sensor 4 and the ambient temperature regulator 3, the ambient temperature inside the device can be regulated (heating for heating or cooling for cooling).
  • Zone one 9 or reaction zone two 12 are respectively staggered and spaced for the purpose that: the plurality of raw material zones one 7 or raw material zone two 10 and the plurality of reaction zones one 9 or two reaction zones 12 can be freely combined for formula deployment and combination , and store the prepared raw materials and prepared samples in different categories, thereby simplifying the test steps.
  • a plurality of raw material zones 1 7 or two raw material zones 10 are provided with several raw material boxes 8 for placing different stock solutions and/or raw materials
  • the raw material box 8 is in the shape of a transparent cuboid
  • the lower side of the raw material box 8 is also provided with an illumination and photographing device 18 .
  • the above-mentioned raw material box 8 is transparent and the purpose of setting the lighting and photographing device 18 below is: through the lighting and photographing device 18, the raw material box 8 can be photographed and uploaded in real time, and the inside of the raw material box 8 can also be checked by the intelligent control analysis center in the background. raw materials or preparation of samples for monitoring and other operations.
  • the multiple raw material areas one 7 or the two raw material areas 10 contained in the above-mentioned raw material area can not only be used as a storage area for raw materials, but also can be used as a carrier for formula preparation, using one or more of the raw material boxes 8 to carry out one or more formulas simultaneously.
  • real-time photos can be taken by the lighting photographing devices 18 under the multiple raw material areas 10 and uploaded to the database of the intelligent control analysis center and analyzed by software, so as to monitor the preparation.
  • the lighting and photographing device 18 includes a shadowless lamp 20 , the shadowless lamp 20 is installed on the desktop robot hardware platform 1 , and a column 19 is provided in the middle of the shadowless lamp 20 .
  • a camera 31 is embedded in the upper end of the column 19 .
  • a plurality of the reaction zones 1 9 or the reaction zone 2 12 are provided with a plurality of transparent porous reaction plates 21 , and a plurality of reaction plates 21 are provided on the porous reaction plates 21
  • the bottom of the reaction hole 22 is covered with a rubber sleeve 23, the bottom of the rubber sleeve 23 is further provided with a hole 24, and the lower side of the porous reaction plate 21 is also provided with the illumination photographing device 18.
  • the purpose of arranging the illumination photographing device 18 below the porous reaction plate 21 is to take pictures and upload the porous reaction plate 21 in real time through the illumination photographing device 18, and the bottom of the reaction hole 22 of the porous reaction plate 21 is covered with
  • the rubber cover 23 and the holes 24 on the rubber cover 23 can make the image difference between the holes more obvious when the lighting photographing device 18 takes pictures.
  • the shadowless lamp 20 in the lighting photographing device 18 can make When taking pictures, the reaction holes 22 of the porous reaction plate 21 will not be affected by the difference in light, so that each reaction hole 22 will interact with each other when taking pictures, which will cause the photo imaging to present more shadows. Covering makes the photos taken in real time clearer, and at the same time, it is more convenient for the intelligent control analysis center in the background to distinguish the color reactions generated in the porous reaction plate 21, so that it is more convenient for machine learning.
  • a vibration motor 13 is also provided on the side of the reaction zone 2 12 at the edge of the desktop robot hardware platform 1 .
  • the purpose of the above-mentioned vibration motor 13 is to accelerate the mixing of the raw materials in the reaction zone 2 12 by driving the vibration motor 13 to vibrate, thereby shortening the time required for the test.
  • the test area 16 includes a test detector 32 , and the test detector 32 is an instrument such as a microplate reader that can test the developed functional materials, and all
  • the test detector 32 is connected to the intelligent control analysis center through an external interface, the test detector 32 is box-shaped, and the upper and bottom ends of the test detector 32 are provided with a plurality of monochromatic light emitting heads 28.
  • the lower side of the transmitting head 28 is provided with a receiving sensor 27, and the receiving sensor 27 is also provided with a transmission roller 15 on both sides.
  • the outer platform of the test detector 32 is also provided with a transmission roller 15.
  • the transfer roller 15 is also provided with a number of transparent porous microplates 14 , and the test area 16 and the evaluation area 25 are connected through the transfer roller 15 .
  • the porous microplate 14 sucks the sample to be tested in the porous reaction plate 21 through the triaxial manipulator 2 and adds it to the hole on the plate and passes through the
  • the transfer roller 15 is transported into the lower side of the test detector 32, and the monochromatic light emitting head 28 on the upper side of the test detector 32 emits monochromatic light through the sample to be tested on the porous microplate 14 and illuminates it.
  • the receiving sensor 27 converts the received signal into an electrical signal and uploads it to the database of the intelligent control analysis center, and performs data analysis through the software in the intelligent control analysis center.
  • the evaluation area 25 includes an evaluation detector 33 , and the evaluation detector is also connected to the intelligent control analysis center through an external interface.
  • 33 is a professional instrument that can characterize and analyze functional materials.
  • the evaluation detector 33 includes a detection head 29.
  • the detection head 29 is provided with a receiving plate 26 on the lower side.
  • the receiving plate 26 is provided with a sensor 30.
  • Two sides of the receiving plate 26 are also provided with conveying rollers 15 , through which the porous microplate 14 is conveyed between the testing area 16 and the evaluation area 25 .
  • the porous microplate 14 is detected by the testing area 16 and then conveyed to the evaluation area 25 by the conveying roller 15 and conveyed to the underside of the evaluation detector 33 , and the detection head 29 sends out detection.
  • the detection light passes through the porous microplate 14 and is received by the sensor 30 on the receiving plate 26.
  • the sensor 30 converts the received signal into an electrical signal and uploads it to the database of the intelligent control analysis center And data analysis is performed by the software in it.
  • the evaluation area 25 is further connected with a waste collection tank 17 through the conveying roller 15, the waste collection tank 17 is rectangular, and the reaction plate collection and TIP can be arranged in the waste collection tank 17 The head is disengaged from the collection device.
  • the above-mentioned porous microplate 14 is detected by the test area 16 and the evaluation area 25 and then transferred to the waste collection tank 17 by the transfer roller 15 for collection and unified treatment.
  • the raw materials required for the research and development of functional materials are placed in the raw material boxes 8 of the raw material areas one 7 or the raw material area two 10 of the raw material area, and based on the preliminary formula given in the intelligent analysis center
  • the software inside operates the three-axis robotic arm 2 on the upper side of the desktop robot hardware platform 1 to perform preliminary formulation preparation, and the raw materials and formula materials in each of the raw material boxes 8 can also pass through the vision on the lower side of the raw material boxes 8.
  • the lighting and photographing device 18 of the module performs real-time photographing and uploading and is analyzed by the intelligent control analysis center to monitor the purity of the raw materials in the raw material box 8 , the residual degree of raw materials and the preliminary color reaction of the samples prepared in the raw material box 8 .
  • the database of the analysis center is analyzed by the software, and the reaction results are classified and learned, and the data center can obtain a large amount of test data in a short time due to the short-time repeated high-throughput test through the machine, which can be better evaluated. Thereby, the experiment can be further optimized according to the model preset by the software.
  • the three-axis robotic arm 2 is also driven to suck the candidate materials and release them into the porous microplates.
  • the porous microplate 14 containing the sample to be tested is then transported to the bottom of the test detector 32 by the transfer roller 15, and the test detector 32 performs detection, and the test The detection result of the detector 32 is sent by the receiving sensor 27 to the background intelligent control analysis center for analysis.
  • the porous microplate 14 with the sample to be tested detected by the test detector 32 is further conveyed by the transfer roller 15 to the bottom of the evaluation detector 33 in the evaluation area 25 after being detected by the test area 16, and is transferred by the transfer roller 15.
  • the evaluation detector 33 detects the turbidity and nano-particle size, and similarly, the detection result is sent to the intelligent control analysis center via the sensor 30 to convert the signal for analysis.
  • porous microplates 14 tested in the above-mentioned test area 16 and evaluation area 25 are transported into the waste collection tank 17 by the transport rollers 15 for further processing.
  • the intelligent control analysis center obtains a set of material genes, uploads it to the database, and through the corresponding software, it can continue to design and optimize the proportion by analyzing the data calculation, so as to repeat the above steps, forming a "design-build"
  • the closed loop of "testing-learning-design" through the combination of mechanical automation and artificial intelligence big data analysis and learning, enables the machine to automatically optimize the traditional functional material test, adjust the ratio of raw materials and perform automatic ratio detection, thereby reducing the use of labor, Reduce the time-consuming development of new functional materials, thereby saving costs in all aspects.
  • the raw material area of this design mainly places liquid consumables, etc., and performs preliminary formulation reactions on functional materials such as enzyme catalysis, protein crystallization, and electronic ink; the temperature sensor 4 and the ambient temperature regulator 3 in the heating area are mainly used for the temperature of the entire device. Control, test the thermal stability, photosensitivity, quantum dots, etc. of the material; the reaction area is mainly used as a reaction platform for biochemical reactions and catalytic reactions in the research and development process of functional materials.
  • the visual module includes a lighting and photographing device 18. The reaction occurring in the area is photographed and uploaded to the intelligent control analysis center for image analysis for machine learning.
  • the video monitoring module 35 mainly includes a camera on it, and the camera is used to record and upload to the intelligent control analysis center for overall video monitoring by software.
  • the test and evaluation area includes the test area 16 and the evaluation area 25. This area mainly connects commercial equipment such as microplate reader, suspension turbidity analyzer and nano-particle size analyzer through external interfaces to conduct professional testing and evaluation of functional materials.
  • the waste area includes a waste collection tank 17, and this area mainly collects the waste consumables generated by the test through the collection devices (existing technology) set on it.
  • the design can be used not only for the research and development of biomedicine, but also for the research and development of electronic information and energy and environmental protection materials, such as protein crystallization operations.
  • the specific workflow of this design can be summarized as shown in Figure 15.
  • the research and development steps of functional materials are subdivided into four processes: preparation-reaction-test-evaluation, and both the raw material area and the reaction area have specific
  • the visual module takes real-time photos and uploads them to the intelligent control analysis center for evaluation and learning in terms of color, while the two processes of testing and evaluation are carried out by professional testing instruments such as microplate readers. Professional testing and evaluation of turbidity and material nanoparticle size, and also uploading each set of data obtained from the test to the intelligent control analysis center for synthesis, and the intelligent control analysis center records the data of the material test (that is, the functional material).
  • test is further optimized by the software program analysis and comparison optimization formula, and re-optimizes according to the predetermined model and re-sends the instructions to each module of the design to carry out the optimization test, so as to carry out "design-test-characterization-
  • the closed loop of "learning-redesigning” realizes the preparation and digital manufacturing of new functional materials.

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Abstract

一种"人-人工智能-机器人"协作功能材料自动化制备平台，包括桌面机器人硬件平台（1），以及与其通信连接的包含数据库及软件的智能控制分析中心；桌面机器人硬件平台（1）设有原料区、反应区、测试区、评价区以及视频监测模块（35），智能控制分析中心可驱动三轴机械臂（2）带动移液枪（5）将原料区内的原料进行制备并且还可将其原料注入多孔反应板（21）和多孔微孔板（14）供反应区下方视觉模块、测试区内测试检测仪（32）和评价区内评价检测仪（33）采集数据且由智能控制分析中心进行计算、分析和机器学习，并按照预设模型计算输出，实现高通量试验、测试并迭代优化功能材料，快速、低成本、多循环地完成"设计—测试—表征—学习—再设计"的闭环，实现新型功能材料制备与数字制造。

Description

“人-人工智能-机器人”协作功能材料自动化制备平台 技术领域
本发明涉及高通量功能材料研发技术领域，尤其涉及一种基于人工智能与机器人相结合的数字制造与新型功能材料自动化筛选、制备、表征与测试的生物化学合成试验工作站。
背景技术
功能材料传统研发过程成本高、耗时长，对实验的效率和可重复性都有很高的要求，实验的低效和浪费将是对研究成本和人才的极大消耗。若只依赖于人工手动操作不仅耗费时间，更容易产生误差，这将很大程度影响实验结果的可重复性。另一方面，传统的方法在预测材料的特性与成分，加工条件等关系上，有明显的不足。此外，一些有毒性的固体试剂在提取和称样的过程中存在很大的风险，不仅可能对实验人员造成伤害，更将对环境造成不可控的污染。
开启新型功能材料在能源环保、电子信息、和生物医学技术、及其交叉领域的快速发展，为能源、信息、高端装备制造和人类健康等战略性新兴产业的发展提供坚实的理论基础和技术支撑，将新材料研发由“科学直觉与试错”的传统模式向“理论预测结合实验验证”的新模式转变，全面提高功能材料从发现到应用的速度，降低成本。
发明内容
本发明的目的在于通过数据驱动、机器学习以及机器平台实现人-人工智能-机器人协作，协同提出一种”人-人工智能-机器人”协作功能材料自动化制备平台。
本发明解决上述问题的技术方案是：一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特殊之处在于：
包括桌面机器人硬件平台，以及与其通信连接的包含数据库及软件的智能控制分析中心；
所述桌面机器人硬件平台上设有原料区、反应区、测试区、评价区、视觉模块以及视频监测模块，
所述原料区用于存放原料，
所述反应区为反应平台和原料提取装置，
所述测试区包含测试检测仪器，
所述评价区包括评价检测仪，
所述智能控制分析中心控制原料提取装置提取原料区中的原料，送至反应平台进行制备，得到样品，所述智能控制分析中心控制原料提取装置提取样品至测试区，测试区的测试检测仪器对样品进行检测、分析，经测试区检测后的样品通过传送装置输送至评价区内，评价区内的评价检测仪对待测样品进行数据采集、分析，且原料区、反应区、测试区以及评价区均由视频监测模块的监测，并将监测信息上传至所述智能控制分析中心；
所述视觉模块包括照明拍照装置，照明拍照装置对反应区的样品进行图像采集并将采集后的图像输送至智能控制分析中心内，所述智能控制分析中心可采集所述照明拍照装置、测试检测仪、评价检测仪所采集的数据上传至其内的数据库并通过软件进行计算、分析以及机器学习，并按照软件内预设模型输出计算结果，实现高通量的试验。
进一步地，上述原料区的数量为多个，所述反应平台的数量为多个，所述原料区与反应分区间隔设置。
进一步地，上述原料提取装置包括三轴机械臂，所述三轴机械臂上设有移液枪，所述反应平台包括若干个透明的多孔反应板，所述多孔反应板上设有若干反应孔，所述反应孔底部套有橡胶套，所述橡胶套底部还设有孔，所述多孔反应板下侧设有照明拍照装置。
进一步地，上述反应区与原料区上侧还设有温度传感器以及环境温度调整器。
进一步地，上述原料区内设有若干原料盒，用于放置不同的原液和/或原料，所述原料盒呈透明长方体状，且所述原料盒上端开口，所述原料盒下侧还设有照明拍照装置对所述原料盒进行拍照收集数据。
进一步地，上述照明拍照装置包括无影灯，所述无影灯安装在所述桌面机器人硬件平台上，所述无影灯中部设有立柱，所述立柱上端部嵌有摄像头。
进一步地，上述反应区侧边还设有震动马达。
进一步地，上述测试检测仪呈盒状，且所述测试检测仪上部底端设有若干单色光发射头，所述发射头下侧设有接收传感器，所述接收传感器两侧还设有传送辊轮。
进一步地，上述测试检测仪外侧平台上亦设有传送辊轮，所述外侧平台上的传送辊轮上还设有若干透明的多孔微孔板，且所述测试区与所述评价区之间通过所述传送辊轮连接。
进一步地，上述评价检测仪包括若干检测头，所述检测头下侧设有接收板，所述接收板内设有传感器，所述接收板两侧亦设有传送辊轮，通过所述传送辊轮将所述多孔微孔板在所述测试区与所述评价区之间传送。
进一步地，上述评价区还通过传送辊轮连接有废料收集区，废料收集区包括废料收集区槽，所述废料收集槽呈矩形。
本发明的优点：
本发明的基于人工智能的自动化功能材料试验装置，通过硬件层即桌面机器人硬件平台使依托于其上的软件层(PYTHON、PYMATGEN、FACTSAGE、AFLOW、VASP等软件)对功能材料即应用层(对能源环保、电子信息、生物医药的领域的材料进行数据库建立、材料查询、成分优化、功能优化等)进行文本挖掘、材料基因获取、高通量计算、机器学习、数据分析并建立材料模型等，通过人工智能对功能材料进行文本挖掘获得材料基因，进一步的可以通过装置进行高通量(即短时间内大量重复进行操作)的试验以及一系列的检测计算，并通过装置内置的人工智能程序的自我学习使装置进行更深度的优化试验， 优化材料配比，最后得出或计算出或分析出所需要的材料，从而节省了成本以及耗时，使原本需要数年乃至数十年才能完成的功能材料研发缩短至数月，此外本设计还可以通过各分区模块的自由组合，从而实现不仅可以对生物医药进行研发，还可以对电子信息以及能源环保等方面的材料进行研发，以及提供指导数据。
附图说明
图1为本发明的整体操作示意图；
图2为本发明的主要结构具体示意图；
图3为本发明的主要结构侧视示意图；
图4为本发明的主要结构俯视示意图；
图5为本发明移液枪结构示意图；
图6为本发明的多孔反应板与照明拍照装置安装位置示意图；
图7为本发明的照明拍照装置示意图；
图8为本发明的多孔反应板示意图；
图9为本发明的多孔反应板另一视角示意图；
图10为本发明测试区工作流程示意图；
图11为本发明的测试检测仪示意图；
图12为本发明的多孔微孔板传送示意图；
图13为本发明评价区工作流程示意图；
图14为本发明的评价检测仪示意图；
图15为本发明的工作流程图。
1、桌面机器人硬件平台，2、三轴机械臂，3、环境温度调整器，4、温度传感器，5、移液枪，6、微量泵，7、原料区一，8、原料盒，9、反应分区一，10、原料区二，12、反应分区二，13、震动马达，14、多孔微孔板，15、传送辊轮，16、测试区，17、废料收集槽，18、照明拍照装置，19、立柱,20、无影灯，21、多孔反应板，22、反应孔，23、橡胶套，24、孔，25、评价区，26、 接收板，27、接收传感器，28、单色光发射头，29、检测头，30、传感器，31、摄像头，32、测试检测仪，33、评价检测仪，35、视频监测模块。
具体实施方式
为使本发明实施方式的目的、技术方案和优点更加清楚，下面将结合本发明实施方式中的附图，对本发明实施方式中的技术方案进行清楚、完整地描述，显然，所描述的实施方式是本发明一部分实施方式，而不是全部的实施方式。基于本发明中的实施方式，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施方式，都属于本发明保护的范围。因此，以下对在附图中提供的本发明的实施方式的详细描述并非旨在限制要求保护的本发明的范围，而是仅仅表示本发明的选定实施方式。
参见图1至图4，一种”人-人工智能-机器人”协作功能材料自动化制备平台，包括模块化的自动化桌面机器人硬件平台1、包含数据库及软件的智能控制分析中心。所述桌面机器人硬件平台1上设有原料区、反应区、测试区、评价区以及视频监测模块35。
所述桌面机器人硬件平台上设有原料区、反应区、测试区、评价区、视觉模块以及视频监测模块。
所述原料区内存放有至少一种材料原液，所述反应区包括反应平台和原料提取装置，所述测试区包含测试检测仪器，所述评价区包括评价检测仪。
所述智能控制分析中心控制原料提取装置提取原料区中的原料，送至反应平台进行制备，得到样品，所述智能控制分析中心控制原料提取装置提取样品至测试区，测试区的测试检测仪器对样品进行检测、分析，经测试区检测后的样品通过传送装置输送至评价区内，评价区内的评价检测仪对待测样品进行数据采集、分析，且原料区、反应区、测试区以及评价区均由视频监测模块的监测，并将监测信息上传至所述智能控制分析中心；
所述视觉模块包括照明拍照装置，照明拍照装置对反应区的样品进行图像采集并将采集后的图像输送至智能控制分析中心内，软件层包括智能控制分析 中心，所述智能控制分析中心可采集所述照明拍照装置、测试检测仪、评价检测仪所采集的数据上传至其内的数据库并通过软件进行计算、分析以及机器学习，并按照软件内预设模型输出计算结果，实现高通量的试验。
本设计重点研究桌面机器人功能材料自动化平台(身体)和功能材料界面基因组工程(大脑)，通过二者的顶层设计和交互联动，初步实现类似“身体”和“大脑”的配合。
本发明通过硬件层即桌面机器人硬件平台使依托于其上的软件层(PYTHON、PYMATGEN、FACTSAGE、AFLOW、VASP等软件)对功能材料即应用层(对能源环保、电子信息、生物医药的领域的材料进行数据库建立、材料查询、成分优化、功能优化等)进行文本挖掘、材料基因获取、高通量计算、机器学习、数据分析并建立材料模型等，通过人工智能对功能材料进行文本挖掘获得材料基因，可以通过装置进行高通量(即短时间内大量重复进行操作)的试验以及一系列的检测计算，并通过装置内置的人工智能程序的自我学习使装置进行更深度的优化试验，优化材料配比，最后得出或计算出或分析出所需要的材料。
作为本发明的一个优选实施例，上述原料提取装置包括三轴机械臂2以及三轴机械臂2连接多个移液枪5，通过驱动所述三轴机械臂2从而控制所述三轴机械臂2下方的移液枪5对所述桌面机器人硬件平台1上各分区进行相应操作，且每排所述移液枪5上方设有单独的微量泵6，如图5所示，通过各单独的微量泵6对各移液枪5进行精细化吸放液操作。
所述原料区包括多个原料区一7或原料区二10，所述反应区包括多个反应区一9或反应区二12，所述多个原料区一7或原料区二10与所述多个反应区一9或反应区二12间隔设置，所述反应区与所述原料区上侧还设有温度传感器4以及环境温度调整器3。通过所述温度传感器4与所述环境温度调整器3可以对本装置内部的环境温度进行调控(升温进行加热或降温进行冷却)，所述多个原料区一7或原料区二10以及多个反应区一9或反应区二12分别错开间隔设置 的目的在于：所述多个原料区一7或原料区二10与所述多个反应区一9或反应区二12可以自由组合进行配方调配组合，分类存放制备原料以及制备后的样品，从而简化试验步骤。
作为本发明的一个优选实施例，如图2、图3、图4所示，多个所述原料区一7或原料区二10上设有若干原料盒8放置有不同的原液和/或原料，所述原料盒8呈透明长方体状，所述原料盒8下侧还设有照明拍照装置18。上述原料盒8呈透明状且下方设置照明拍照装置18的目的在于：通过照明拍照装置18可以对所述原料盒8进行实时拍照上传，并且还可以通过后台的智能控制分析中心对原料盒8内的原料或制备样品进行监测等操作。
上述原料区包含的多个原料区一7或原料区二10不仅可以作为原料的盛放区，而且还可以作为配方制备的载体，使用其中一个或多个原料盒8进行一个或多个配方同时调配，且配方调配过程中还可以通过所述多个原料区10下方的照明拍照装置18进行实时拍照上传至智能控制分析中心的数据库并由软件分析，从而对调配进行监测。
作为本发明的一个优选实施例，参见图7，所述照明拍照装置18包括无影灯20，所述无影灯20安装在所述桌面机器人硬件平台1上，所述无影灯20中部设有立柱19，所述立柱19上端部嵌有摄像头31。
如图6、图7、图8、图9所示，多个所述反应区一9或反应区二12上设有若干透明的多孔反应板21，所述多孔反应板21上设有若干反应孔22，所述反应孔22底部套有橡胶套23，所述橡胶套23底部还设有孔24，所述多孔反应板21下侧亦设有所述照明拍照装置18。
上述多孔反应板21下方设置所述照明拍照装置18的目的在于：通过所述照明拍照装置18对所述多孔反应板21进行实时拍照上传，且所述多孔反应板21的反应孔22底部套有橡胶套23且在所述橡胶套23上开设有孔24可以使得所述照明拍照装置18进行拍照时，各孔之间的图像区别更加明显，此外所述照明拍照装置18中的无影灯20可以使得拍照时所述多孔反应板21的反应孔22 之间不会因为光线的差别而使得各个反应孔22拍照时光线互相影响而造成照片成像会呈现较多阴影的情况，通过无影灯20将原本的阴影覆盖而使得实时拍摄出的照片更加清晰，同时也更加便于后台的智能控制分析中心对所述多孔反应板21内产生的颜色反应进行区分，从而更加便于进行机器学习。
作为本发明的一个优选实施例，参见图2，位于所述桌面机器人硬件平台1边缘的所述反应区二12侧边还设有震动马达13。上述震动马达13设置的目的在于：通过驱动所述震动马达13震动从而加速所述反应区二12内原料的混合，缩短试验所需时长。
如图2、图10、图11、图12所示，所述测试区16包括测试检测仪32，所述测试检测仪32为酶标仪等可以对所研发功能材料进行测试的仪器，且所述测试检测仪32通过外部接口连接在所述智能控制分析中心上，所述测试检测仪32呈盒状，且所述测试检测仪32上部底端设有若干单色光发射头28，所述发射头28下侧设有接收传感器27，所述接收传感器27两侧还设有传送辊轮15，所述测试检测仪32的外侧平台上亦设有传送辊轮15，所述外侧平台上的传送辊轮15上还设有若干透明的多孔微孔板14，且所述测试区16与所述评价区25之间通过所述传送辊轮15连接。
如图10所示，本发明实施例中，所述多孔微孔板14通过所述三轴机械臂2吸取所述多孔反应板21内的待测样品加至其板上的孔内并通过所述传送辊轮15传送进所述测试检测仪32下侧，所述测试检测仪32上侧单色光发射头28发出单色光穿过所述多孔微孔板14上的待测样品并照射所述接收传感器27上，所述接收传感器27将接收的信号转换为电信号并上传智能控制分析中心的数据库，并通过智能控制分析中心其内的软件进行数据分析。
如图13、图14所示，本发明实施例中，所述评价区25包括评价检测仪33，所述评价检测仪同样通过外部接口连接在所述智能控制分析中心上，所述评价检测仪33为可以对功能材料进行表征分析的专业仪器，所述评价检测仪33包括检测头29，所述检测头29下侧设有接收板26，所述接收板26内设有传感器 30，所述接收板26两侧亦设有传送辊轮15，通过所述传送辊轮15将所述多孔微孔板14在所述测试区16与所述评价区25之间传送。
所述多孔微孔板14经过所述测试区16检测后通过所述传送辊轮15传送至所述评价区25内并将其传送至所述评价检测仪33下方，所述检测头29发出检测光，所述检测光透过所述多孔微孔板14，并由所述接收板26上传感器30接收，所述传感器30将接收到的信号转换为电信号并上传至智能控制分析中心的数据库并由其内的软件进行数据分析。
作为本发明的一个优选实施例，所述评价区25还通过传送辊轮15连接有废料收集槽17，所述废料收集槽17呈矩形，所述废料收集槽17内可设置反应板收集以及TIP头脱离收集装置。上述多孔微孔板14经过所述测试区16以及所述评价区25检测后经过所述传送辊轮15传送至所述废料收集槽17内收集后统一处理。
本设计的具体使用方法为：
首先将功能材料研发所需的原料分别置于所述原料区的多个原料区一7或原料区二10的原料盒8内，并根据所述智能分析中心内给出的初步配方并由其内的软件操作所述桌面机器人硬件平台1上侧的三轴机械臂2进行初步的配方制备，且各所述原料盒8内的原料以及配方材料还可以通过所述原料盒8下侧的视觉模块的照明拍照装置18进行实时拍照上传并由智能控制分析中心分析从而监测所述原料盒8内的原料的纯度、原料剩余程度以及原料盒8内所制备的样品的初步颜色反应。
然后驱动所述桌面机器人硬件平台1上侧的三轴机械臂2移动将所述移液枪5伸入所需原料的原料盒8内并通过所述移液枪5上部的微量泵6对原料进行定量的吸取，而后再驱动所述三轴机械臂2将吸取到的原料释放入所述多孔反应板21的反应孔22内并通过移液枪5的重复抽吸进行混合搅拌，重复上述步骤对各原料进行吸取并在所述多孔反应板21内进行配比反应，所述多孔反应板21内的颜色反应通过所述多孔反应板21下方的照明照相装置18进行实时拍 照并上传至智能控制分析中心的数据库并由软件进行分析，并对反应结果进行分类学习，且由于通过机器进行短时间重复高通量试验，使得数据中心可以在短时间内获得大量试验数据，进而可以更好的评价从而可以按照软件预设定的模型对试验进一步进行优化。
再然后对于经过智能控制分析中心处理分析过并进行筛选后的多孔反应板21内的备选材料同样通过驱动所述三轴机械臂2对备选材料进行吸取并将其释放至所述多孔微孔板14内，然后通过所述传送辊轮15将装有待测样品的多孔微孔板14传送至所述测试检测仪32下方，并由所述测试检测仪32进行检测，且所述测试检测仪32的检测结果由所述接收传感器27发送至后台智能控制分析中心进行分析。
经过测试检测仪32检测的装有待测样品的多孔微孔板14在经过测试区16检测后进一步的由所述传送辊轮15传送至所述评价区25的评价检测仪33下方，并由评价检测仪33进行悬浊度以及纳米粒径等的检测，同样的，检测结果经由传感器30转换信号发送至智能控制分析中心进行分析。
最后经过上述测试区16以及评价区25检测的多孔微孔板14通过所述传送辊轮15传送进入所述废料收集槽17等待进一步处理。
而经过上述步骤后，智能控制分析中心便获得了一组材料基因，上传至数据库并通过相应的软件便可以通过分析数据计算继续进行设计优化配比，从而重复上述步骤，形成从“设计—构建—测试—学习-设计”的闭环，通过机械自动化与人工智能大数据的分析学习的结合，使得机器自动优化传统功能材料试验调整原材料的配比并进行自动配比检测，从而减少人工的使用，降低研发新型功能材料的耗费时长，从而节约了各方面的成本。
此外本设计原料区主要放置液体耗材等以及进行对功能材料例如酶催化、蛋白结晶以及电子墨水等的初步的配方反应；升温区的温度传感器4以及环境温度调整器3，主要对整个装置进行温度调控，测试材料的热稳定性、光敏程度以及量子点等；反应区主要作为功能材料研发过程中生化反应以及催化反应的 反应平台，视觉模块包括照明拍照装置18，该区域主要对反应区以及原料区发生的反应进行拍照并上传至智能控制分析中心进行图像分析以供机器学习，视频监测模块35主要包括其上的摄像头并通过摄像头进行摄像上传至智能控制分析中心由软件进行整体的视频监测，测试评价区包括测试区16以及评价区25，该区域主要通过外部接口衔接商用设备如酶标仪、悬浊度分析仪以及纳米粒径分析仪等商用设备对功能材料进行专业的测试评价，从而评估功能材料的具体应用价值，废料区包括废料收集槽17，该区域主要通过其上所设置的各收集装置(现有技术)收集试验产生的耗材废料，通过对各分区模块的灵活组合，本设计不仅可以用于生物医药方面的研发，同样可以用于电子信息以及能源环保材料等方面的研发，例如进行蛋白质结晶操作，原本首先需要人工通过移液枪对多孔板进行注入蛋白质样品，由于是人工操作不仅费时费力，且易产生交叉污染，导致试验失败，且对多孔板注入蛋白质样品后还需要对多孔板中试验后的蛋白质样品进行测试检测，此过程又需要人工完成，不仅步骤繁琐，且具有发生污染的可能性，导致检测结果不准确，而在本设计的工作站中，对蛋白质的结晶操作均可由智能控制分析中心发布指令从而自动化完成各步骤包括对蛋白质的结晶，检测等。
综合上述内容，本设计的具体工作流程可归纳为如图15所示，将功能材料的研发步骤细分为制备-反应-测试-评价四个流程，且其中原料区以及反应区均具有特定的视觉模块进行实时拍照并上传交由智能控制分析中心进行颜色等方面的评价学习，而测试、评价这两个流程则由专业的检测仪器例如酶标仪等对材料进行酶联免疫检测、材料悬浊度以及材料纳米粒径等专业的测试评价，并同样将检测所得的各组数据上传至智能控制分析中心进行综合，并由智能控制分析中心记录下该材料试验的各项数据(即功能材料基因数据)，并由软件的程序分析对比优化配方对该试验进行进一步优化，并按照预定模型重新优化并向本设计的各模块重新发送指令，进行优化试验，从而进行“设计—测试—表征—学习—再设计”的闭环，实现新型功能材料制备与数字制造。
以上所述仅为本发明的实施例，并非以此限制本发明的保护范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的系统领域，均同理包括在本发明的保护范围内。

Claims (12)

  1. 一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    包括桌面机器人硬件平台，以及与其通信连接的包含数据库及软件的智能控制分析中心；
    所述桌面机器人硬件平台上设有原料区、反应区、测试区、评价区、视觉模块以及视频监测模块；
    所述原料区用于存放原料，所述反应区包括反应平台和原料提取装置，所述测试区包含测试检测仪器，所述评价区包括评价检测仪；
    所述智能控制分析中心控制原料提取装置提取原料区中的原料，送至反应平台进行制备，得到样品，所述智能控制分析中心控制原料提取装置提取样品至测试区，测试区的测试检测仪器对样品进行检测、分析，经测试区检测后的样品通过传送装置输送至评价区内，评价区内的评价检测仪对待测样品进行数据采集、分析，且原料区、反应区、测试区以及评价区均由视频监测模块进行监测，并将监测信息上传至所述智能控制分析中心；
    所述视觉模块包括照明拍照装置，照明拍照装置对反应区的样品进行图像采集并将采集后的图像输送至智能控制分析中心内，所述智能控制分析中心可采集所述照明拍照装置、测试检测仪、评价检测仪所采集的数据上传至其内的数据库并通过软件进行计算、分析以及机器学习，并按照软件内预设模型输出计算结果，实现高通量的试验。
  2. 根据权利要求1所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    所述原料区的数量为多个，所述反应平台的数量为多个，所述原料区与反应平台间隔设置。
  3. 根据权利要求1所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    所述原料提取装置包括三轴机械臂，所述三轴机械臂上设有移液枪，移液枪分别通过其对应的微量泵连接。
  4. 根据权利要求1所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    所述反应平台包括若干个透明的多孔反应板，所述多孔反应板上设有若干反应孔，所述反应孔底部套有橡胶套，所述橡胶套底部还设有孔，所述照明拍照装置设置在多孔反应板下侧。
  5. 根据权利要求1-4任一所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    还包括温度传感器以及环境温度调整器，环境温度调整器对于温度进行调节，温度传感器用于获取环境温度。
  6. 根据权利要求1-4任一所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    原料区内设有若干原料盒，所述原料盒呈透明长方体状，且所述原料盒上端开口，所述照明拍照装置设置在原料盒下侧对原料盒进行拍照收集数据。
  7. 根据权利要求1-4任一所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    照明拍照装置包括无影灯，所述无影灯安装在所述桌面机器人硬件平台上，所述无影灯中部设有立柱，所述立柱上端部嵌有摄像头。
  8. 根据权利要求1-4任一所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    所述反应区侧边还设有震动马达。
  9. 根据权利要求1-4任一所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    所述测试检测仪呈盒状，且所述测试检测仪上部底端设有若干单色光发射头，所述发射头下侧设有接收传感器，所述接收传感器两侧还设有传送辊轮。
  10. 根据权利要求1-4任一所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    所述测试检测仪外侧平台上亦设有传送辊轮，所述外侧平台上的传送辊轮上还设有若干透明的多孔微孔板，且所述测试区与所述评价区之间通过传送辊轮连接。
  11. 根据权利要求1-4任一所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    所述评价检测仪包括若干检测头，所述检测头下侧设有接收板，所述接收板内设有传感器，所述接收板两侧亦设有传送辊轮，通过所述传送辊轮将所述多孔微孔板在所述测试区与所述评价区之间传送。
  12. 根据权利要求1-4任一所述的一种”人-人工智能-机器人”协作功能材料自动化制备平台，其特征在于：
    所述桌面机器人硬件平台设有废料收集区，废料收集区通过传送辊轮与评价区相连。
PCT/CN2020/127768 2020-11-10 2020-11-10 "人-人工智能-机器人"协作功能材料自动化制备平台 Ceased WO2022099448A1 (zh)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115662549A (zh) * 2022-11-04 2023-01-31 北京科技大学 一种全流程仿真和跨尺度设计的数字化研发方法及系统
CN118926136A (zh) * 2024-10-11 2024-11-12 南通普奥电子科技有限公司 一种智能型高频变压器耐压测试设备

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101699283A (zh) * 2009-10-25 2010-04-28 华南农业大学 智能化食品安全检测系统及检测方法
CN201527430U (zh) * 2009-10-19 2010-07-14 深港产学研基地 一种生物芯片分析仪
CN103946364A (zh) * 2011-09-25 2014-07-23 赛拉诺斯股份有限公司 用于多重分析的系统和方法
US20150119298A1 (en) * 2005-04-20 2015-04-30 Fluidigm Corporation Analysis engine and database for manipulating parameters for fluidic systems on a chip
CN105277726A (zh) * 2014-07-25 2016-01-27 广州瑞博奥生物科技有限公司 一种蛋白芯片全自动化高通量分析方法及装置
CN111659483A (zh) * 2020-06-10 2020-09-15 南京大学 一种基于六轴机械臂的化学实验自动化系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150119298A1 (en) * 2005-04-20 2015-04-30 Fluidigm Corporation Analysis engine and database for manipulating parameters for fluidic systems on a chip
CN201527430U (zh) * 2009-10-19 2010-07-14 深港产学研基地 一种生物芯片分析仪
CN101699283A (zh) * 2009-10-25 2010-04-28 华南农业大学 智能化食品安全检测系统及检测方法
CN103946364A (zh) * 2011-09-25 2014-07-23 赛拉诺斯股份有限公司 用于多重分析的系统和方法
CN105277726A (zh) * 2014-07-25 2016-01-27 广州瑞博奥生物科技有限公司 一种蛋白芯片全自动化高通量分析方法及装置
CN111659483A (zh) * 2020-06-10 2020-09-15 南京大学 一种基于六轴机械臂的化学实验自动化系统

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115662549A (zh) * 2022-11-04 2023-01-31 北京科技大学 一种全流程仿真和跨尺度设计的数字化研发方法及系统
CN118926136A (zh) * 2024-10-11 2024-11-12 南通普奥电子科技有限公司 一种智能型高频变压器耐压测试设备

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