Automated biochemical synthesis workstation for functional materials based on artificial intelligence

Abstract

This invention relates to an automated functional material biochemical synthesis workstation based on artificial intelligence, comprising a desktop robot hardware platform and an intelligent control and analysis center containing a database and software connected to it. The desktop robot hardware platform is equipped with a raw material area, a reaction area, a testing area, an evaluation area, and a video monitoring area. The intelligent control and analysis center can drive a three-axis robotic arm to use a pipette to prepare raw materials in the raw material area and inject the raw materials into a porous reaction plate and a porous microplate for data collection by a vision module below the reaction area, a testing instrument in the testing area, and an evaluation instrument in the evaluation area. The intelligent control and analysis center performs calculations, analysis, and machine learning, and outputs the results according to a preset model. This enables high-throughput experimentation, testing, and iterative optimization of functional materials, quickly, cost-effectively, and in multiple cycles to complete the closed loop of "design-test-characterization-learning-redesign," realizing the preparation and digital manufacturing of novel functional materials.

Description

Technical Field

[0001] The present invention relates to the technical field of high-throughput functional material research and development, and in particular to a biochemical synthesis experimental workstation for digital manufacturing based on the combination of artificial intelligence and robots and for automated screening, preparation, characterization and testing of new functional materials. Background Art

[0002] The traditional research and development process of functional materials is costly and time-consuming, and has high requirements for the efficiency and repeatability of experiments. The inefficiency and waste of experiments will be a huge consumption of research costs and talents. If we only rely on manual operation, it will not only be time-consuming, but also more prone to errors, which will greatly affect the repeatability of experimental results. On the other hand, traditional methods have obvious shortcomings in predicting the relationship between material properties and composition, processing conditions, etc. In addition, some toxic solid reagents have great risks in the process of extraction and sampling, which may not only cause harm to the experimenters, but also cause uncontrollable pollution to the environment.

[0003] It will initiate the rapid development of new functional materials in energy and environmental protection, electronic information, biomedical technology, and their interdisciplinary fields, provide a solid theoretical foundation and technical support for the development of strategic emerging industries such as energy, information, high-end equipment manufacturing, and human health, and transform the research and development of new materials from the traditional model of "scientific intuition and trial and error" to a new model of "theoretical prediction combined with experimental verification", comprehensively improve the speed from discovery to application of functional materials, and reduce costs. Summary of the invention

[0004] The purpose of the present invention is to realize human-artificial intelligence-robot collaboration through data-driven, machine learning and machine platform, and to jointly propose an artificial intelligence-based automated functional material biochemical synthesis workstation.

[0005] The technical solution of the present invention to solve the above problems is: an automated functional material biochemical synthesis workstation based on artificial intelligence, which is special in that:

[0006] It includes a desktop robot hardware platform and an intelligent control and analysis center including a database and software connected to it;

[0007] The desktop robot hardware platform is equipped with a raw material area, a reaction area, a test area, an evaluation area, a visual module and a video monitoring module.

[0008] The raw material area is used to store raw materials.

[0009] The reaction zone is a reaction platform and a raw material extraction device.

[0010] The test area includes test detection instruments,

[0011] The evaluation area includes an evaluation detector,

[0012] The intelligent control and analysis center controls the raw material extraction device to extract the raw materials in the raw material area, and sends them to the reaction platform for preparation to obtain samples. The intelligent control and analysis center controls the raw material extraction device to extract samples to the test area. The test detection instrument in the test area detects and analyzes the samples. The samples detected in the test area are transported to the evaluation area through the conveying device. The evaluation detection instrument in the evaluation area collects and analyzes data on the samples to be tested. The raw material area, reaction area, test area and evaluation area are all monitored by the video monitoring module, and the monitoring information is uploaded to the intelligent control and analysis center;

[0013] The visual module includes an illumination and photographing device, which captures images of samples in the reaction zone and transmits the captured images to an intelligent control and analysis center. The intelligent control and analysis center can collect data collected by the illumination and photographing device, the test detector, and the evaluation detector and upload them to a database therein, perform calculations, analyses, and machine learning through software, and output calculation results according to a preset model in the software to achieve high-throughput testing.

[0014] Furthermore, there are multiple raw material zones, multiple reaction platforms, and the raw material zones and reaction zones are spaced apart.

[0015] Furthermore, the above-mentioned raw material extraction device includes a three-axis robotic arm, which is provided with a pipette gun, and the reaction platform includes a plurality of transparent porous reaction plates, which are provided with a plurality of reaction holes, the bottom of the reaction holes is covered with a rubber sleeve, and the bottom of the rubber sleeve is also provided with holes, and the lower side of the porous reaction plate is provided with a lighting and photographing device.

[0016] Furthermore, temperature sensors and an ambient temperature regulator are provided on the upper sides of the reaction zone and the raw material zone.

[0017] Furthermore, the raw material area is provided with a plurality of raw material boxes for placing different raw liquids and / or raw materials. The raw material boxes are in the shape of transparent cuboids with an opening at the top. A lighting and photographing device is also provided at the bottom of the raw material boxes to take pictures of the raw material boxes and collect data.

[0018] Furthermore, the above-mentioned lighting and photographing device includes a shadowless lamp, which is installed on the desktop robot hardware platform. A column is provided in the middle of the shadowless lamp, and a camera is embedded in the upper end of the column.

[0019] Furthermore, a vibration motor is also provided on the side of the reaction zone.

[0020] Furthermore, the test detector is box-shaped, and a plurality of monochromatic light emitting heads are provided at the bottom of the upper portion of the test detector, a receiving sensor is provided at the lower side of the emitting head, and transmission rollers are provided at both sides of the receiving sensor.

[0021] Furthermore, a conveying roller is also provided on the outer platform of the test detector, and a plurality of transparent porous microplates are also provided on the conveying roller on the outer platform, and the test area and the evaluation area are connected through the conveying roller.

[0022] Furthermore, the above-mentioned evaluation detector includes a plurality of detection heads, a receiving plate is provided at the lower side of the detection head, a sensor is provided inside the receiving plate, and conveying rollers are also provided on both sides of the receiving plate, and the porous microplate is conveyed between the test area and the evaluation area by the conveying rollers.

[0023] Furthermore, the evaluation area is also connected to a waste collection area via a conveying roller, and the waste collection area includes a waste collection area slot, and the waste collection slot is rectangular.

[0024] Advantages of the present invention:

[0025] The automatic functional material testing device based on artificial intelligence of the present invention uses the hardware layer, i.e., the desktop robot hardware platform, to enable the software layer (such as PYTHON, PYMATGEN, FACTSAGE, AFLOW, VASP, etc.) based thereon to perform text mining, material gene acquisition, high-throughput calculation, machine learning, data analysis, and material model establishment on the functional material, i.e., the application layer (database establishment, material query, component optimization, function optimization, etc. for materials in the fields of energy and environmental protection, electronic information, and biomedicine), etc. The functional material is subjected to text mining by artificial intelligence to obtain material genes, and further, the device can be used to perform high-throughput (i.e., a large number of repeated operations in a short period of time) tests and a series of detection calculations, and the device can be used to perform more in-depth optimization tests and optimize the material ratio through self-learning of the artificial intelligence program built into the device, and finally the required materials are obtained, calculated, or analyzed, thereby saving costs and time, and shortening the functional material research and development that originally took several years or even decades to complete to several months. In addition, the design can also realize the research and development of not only biomedicine, but also materials in electronic information, energy and environmental protection, and provide guidance data through the free combination of each partition module. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the overall operation of the present invention;

[0027] Figure 2 It is a schematic diagram of the main structure of the present invention;

[0028] Figure 3 It is a schematic side view of the main structure of the present invention;

[0029] Figure 4 It is a schematic top view of the main structure of the present invention;

[0030] Figure 5 It is a schematic diagram of the structure of the liquid transfer gun of the present invention;

[0031] Figure 6 It is a schematic diagram of the installation position of the multi-hole reaction plate and the lighting and photographing device of the present invention;

[0032] Figure 7 It is a schematic diagram of the lighting and photographing device of the present invention;

[0033] Figure 8 is a schematic diagram of a porous reaction plate of the present invention;

[0034] Fig. 9 It is a schematic diagram of another viewing angle of the porous reaction plate of the present invention;

[0035] Fig.10 This is a schematic diagram of the working process of the test area of ​​the present invention;

[0036] Fig.11 It is a schematic diagram of the test detector of the present invention;

[0037] Fig.12 It is a schematic diagram of the transmission of the porous microplate of the present invention;

[0038] Fig.13 This is a schematic diagram of the workflow of the evaluation area of ​​the present invention;

[0039] Fig.14 It is a schematic diagram of the evaluation detector of the present invention;

[0040] Fig.15 It is the work flow chart of the present invention.

[0041] 1. Desktop robot hardware platform, 2. Three-axis robotic arm, 3. Ambient temperature adjuster, 4. Temperature sensor, 5. Pipette, 6. Micro pump, 7. Raw material area one, 8. Raw material box, 9. Reaction partition one, 10. Raw material area two, 12. Reaction partition two, 13. Vibration motor, 14. Multi-porous microplate, 15. Conveyor roller, 16. Test area, 17. Waste collection tank, 18. Lighting and photographing device, 19. Column, 20. Shadowless lamp, 21. Multi-porous reaction plate, 22. Reaction hole, 23. Rubber sleeve, 24. Hole, 25. Evaluation area, 26. Receiving plate, 27. Receiving sensor, 28. Monochromatic light transmitter, 29. Detection head, 30. Sensor, 31. Camera, 32. Test detector, 33. Evaluation detector, 35. Video monitoring module. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention.

[0043] See also Figures 1 to 4 , an artificial intelligence-based automated functional material biochemical synthesis workstation, comprising a modular automated desktop robot hardware platform 1, and an intelligent control and analysis center including a database and software. The desktop robot hardware platform 1 is provided with a raw material area, a reaction area, a test area, an evaluation area, and a video monitoring module 35.

[0044] The desktop robot hardware platform is provided with a raw material area, a reaction area, a testing area, an evaluation area, a visual module and a video monitoring module.

[0045] The raw material area stores at least one material raw liquid, the reaction area includes a reaction platform and a raw material extraction device, the test area includes a test detection instrument, and the evaluation area includes an evaluation detection instrument.

[0046] The intelligent control and analysis center controls the raw material extraction device to extract the raw materials in the raw material area, and sends them to the reaction platform for preparation to obtain samples. The intelligent control and analysis center controls the raw material extraction device to extract samples to the test area. The test detection instruments in the test area detect and analyze the samples. The samples detected in the test area are transported to the evaluation area through the conveying device. The evaluation detection instrument in the evaluation area collects and analyzes data on the samples to be tested. The raw material area, reaction area, test area and evaluation area are all monitored by the video monitoring module, and the monitoring information is uploaded to the intelligent control and analysis center.

[0047] The visual module includes an illumination camera device, which collects images of samples in the reaction zone and transmits the collected images to the intelligent control and analysis center. The software layer includes an intelligent control and analysis center, which can collect data collected by the illumination camera device, the test detector, and the evaluation detector and upload them to the database therein, and perform calculations, analysis, and machine learning through the software, and output the calculation results according to the preset model in the software to achieve high-throughput experiments.

[0048] This design focuses on the desktop robot functional material automation platform (body) and functional material interface genome engineering (brain). Through the top-level design and interactive linkage between the two, it initially realizes the coordination similar to that of "body" and "brain".

[0049] The present invention uses a hardware layer, i.e., a desktop robot hardware platform, to enable the software layer (such as PYTHON, PYMATGEN, FACTSAGE, AFLOW, and VASP) thereon to perform text mining, material gene acquisition, high-throughput calculation, machine learning, data analysis, and establishment of material models on functional materials, i.e., an application layer (database establishment, material query, component optimization, and function optimization of materials in the fields of energy and environmental protection, electronic information, and biomedicine). Text mining of functional materials is performed to obtain material genes through artificial intelligence, and high-throughput (i.e., a large number of repeated operations in a short period of time) tests and a series of detection calculations can be performed through the device. The self-learning of the artificial intelligence program built into the device enables the device to perform more in-depth optimization tests and optimize the material ratio, and finally obtain, calculate, or analyze the required materials.

[0050] As a preferred embodiment of the present invention, the raw material extraction device comprises a three-axis robotic arm 2 and a plurality of pipette guns 5 connected to the three-axis robotic arm 2. The three-axis robotic arm 2 is driven to control the pipette guns 5 under the three-axis robotic arm 2 to perform corresponding operations on each partition on the desktop robot hardware platform 1, and a separate micro pump 6 is provided above each row of the pipette guns 5. Figure 5 As shown, each pipette gun 5 is operated to perform refined liquid aspiration and discharge operations through each individual micro pump 6 .

[0051] The raw material area includes a raw material area 17 or a raw material area 2 10, and the reaction platform includes a reaction area 19 or a reaction area 2 12. The raw material area 17 or the raw material area 2 10 is arranged at intervals from the reaction area 19 or the reaction area 2 12. The reaction area and the upper side of the raw material area are also provided with a temperature sensor 4 and an environmental temperature adjuster 3. The environmental temperature inside the device can be regulated (heated by increasing the temperature or cooled by decreasing the temperature) by the temperature sensor 4 and the environmental temperature adjuster 3. The purpose of staggering the multiple raw material areas 17 or the raw material area 2 10 and the multiple reaction areas 19 or the reaction area 2 12 is that the multiple raw material areas 17 or the raw material area 2 10 and the multiple reaction areas 19 or the reaction area 2 12 can be freely combined for formula preparation, and the prepared raw materials and the prepared samples can be stored in categories, thereby simplifying the test steps.

[0052] As a preferred embodiment of the present invention, Figure 2 , Figure 3 , Figure 4As shown, a plurality of raw material areas 1 7 or raw material areas 2 10 are provided with a plurality of raw material boxes 8 containing different stock solutions and / or raw materials, the raw material boxes 8 are in the shape of transparent cuboids, and a lighting and photographing device 18 is further provided at the lower side of the raw material boxes 8. The raw material boxes 8 are transparent and the lighting and photographing device 18 is provided at the lower side thereof for the purpose of taking a real-time photo of the raw material boxes 8 and uploading the same through the lighting and photographing device 18, and also monitoring the raw materials or prepared samples in the raw material boxes 8 through the intelligent control and analysis center at the background.

[0053] The multiple raw material areas 1 7 or raw material areas 2 10 included in the above-mentioned raw material area can not only be used as raw material storage areas, but also can be used as carriers for formula preparation. One or more raw material boxes 8 can be used to prepare one or more formulas at the same time. In the process of formula preparation, the lighting and photographing device 18 under the multiple raw material areas 10 can also be used to take real-time photos and upload them to the database of the intelligent control and analysis center for software analysis, so as to monitor the preparation.

[0054] As a preferred embodiment of the present invention, see Figure 7 The lighting and photographing device 18 includes a shadowless lamp 20, which is installed on the desktop robot hardware platform 1. A column 19 is provided in the middle of the shadowless lamp 20, and a camera 31 is embedded in the upper end of the column 19.

[0055] like Figure 6 , Figure 7 , Figure 8 , Fig. 9 As shown, a plurality of transparent porous reaction plates 21 are provided on the reaction zones 1 9 or the reaction zones 2 12, and a plurality of reaction holes 22 are provided on the porous reaction plates 21. A rubber sleeve 23 is provided at the bottom of the reaction holes 22, and a hole 24 is further provided at the bottom of the rubber sleeve 23. The lighting and photographing device 18 is also provided at the lower side of the porous reaction plates 21.

[0056] The purpose of arranging the lighting and photographing device 18 below the above-mentioned porous reaction plate 21 is to take real-time photos and upload them through the lighting and photographing device 18, and the bottom of the reaction holes 22 of the porous reaction plate 21 is covered with a rubber sleeve 23 and a hole 24 is opened on the rubber sleeve 23, so that when the lighting and photographing device 18 takes pictures, the image difference between each hole is more obvious. In addition, the shadowless lamp 20 in the lighting and photographing device 18 can prevent the reaction holes 22 of the porous reaction plate 21 from affecting each other due to the difference in light when taking pictures, resulting in a situation where the photo imaging will present more shadows. The original shadows are covered by the shadowless lamp 20 to make the real-time photos clearer, and it is also easier for the background intelligent control and analysis center to distinguish the color reactions generated in the porous reaction plate 21, thereby making it easier to carry out machine learning.

[0057] As a preferred embodiment of the present invention, see Figure 2 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 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.

[0058] like Figure 2 , Fig.10 , Fig.11 , Fig.12 As shown, the test area 16 includes a test detector 32, which is an instrument such as an enzyme labeling instrument that can test the developed functional materials, and the test detector 32 is connected to the intelligent control and analysis center through an external interface. The test detector 32 is box-shaped, and a plurality of monochromatic light emitting heads 28 are provided at the bottom of the upper part of the test detector 32, and a receiving sensor 27 is provided on the lower side of the emitting head 28. Conveying rollers 15 are also provided on both sides of the receiving sensor 27. Conveying rollers 15 are also provided on the outer platform of the test detector 32, and a plurality of transparent porous microplates 14 are also provided on the conveying rollers 15 on the outer platform, and the test area 16 and the evaluation area 25 are connected through the conveying rollers 15.

[0059] like Fig.10As shown, in the embodiment of the present invention, the porous microplate 14 absorbs the sample to be tested in the porous reaction plate 21 through the pipette gun 5 through the three-axis robotic arm 2 and adds it to the holes of the porous microplate 14 and transmits it to the lower side of the test detector 32 through the transmission roller 15. 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 irradiates the receiving sensor 27. The receiving sensor 27 converts the received signal into an electrical signal and uploads it to the database of the intelligent control and analysis center, and performs data analysis through the software therein of the intelligent control and analysis center.

[0060] like Fig.13 , Fig.14 As shown, in the embodiment of the present invention, the evaluation area 25 includes an evaluation detector 33, and the evaluation detector is also connected to the intelligent control and analysis center through an external interface. The evaluation detector 33 is a professional instrument that can characterize and analyze functional materials. The evaluation detector 33 includes a detection head 29, and a receiving plate 26 is provided on the lower side of the detection head 29. A sensor 30 is provided in the receiving plate 26. Conveying rollers 15 are also provided on both sides of the receiving plate 26. The porous microplate 14 is transported between the test area 16 and the evaluation area 25 by the conveying rollers 15.

[0061] After being detected by the test area 16, the multi-porous microplate 14 is transported to the evaluation area 25 by the transport roller 15 and then transported to the bottom of the evaluation detector 33. The detection head 29 emits a detection light, which passes through the multi-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 and analysis center, and the software therein performs data analysis.

[0062] As a preferred embodiment of the present invention, the evaluation area 25 is also connected to a waste collection tank 17 through a conveying roller 15. The waste collection tank 17 is rectangular, and a reaction plate collection and TIP head separation collection device can be set in the waste collection tank 17. After the porous microplate 14 is detected by the test area 16 and the evaluation area 25, it is conveyed to the waste collection tank 17 by the conveying roller 15 for collection and unified treatment.

[0063] The specific usage of this design is:

[0064] First, the raw materials required for the research and development of functional materials are placed in the raw material boxes 8 of multiple raw material areas 1 7 or raw material area 2 10 in the raw material area, and according to the preliminary formula given in the intelligent analysis center and the software therein, the three-axis robotic arm 2 on the upper side of the desktop robot hardware platform 1 is operated to prepare a preliminary formula, and the raw materials and formula materials in each of the raw material boxes 8 can also be photographed and uploaded in real time through the lighting and photographing device 18 of the visual module on the lower side of the raw material box 8 and analyzed by the intelligent control and analysis center to monitor the purity of the raw materials in the raw material box 8, the remaining degree of raw materials and the preliminary color reaction of the samples prepared in the raw material box 8.

[0065] Then, the three-axis robotic arm 2 on the upper side of the desktop robot hardware platform 1 is driven to move the pipette gun 5 into the raw material box 8 of the required raw material and quantitatively absorb the raw material through the micro pump 6 on the upper part of the pipette gun 5, and then the three-axis robotic arm 2 is driven to release the absorbed raw material into the reaction hole 22 of the porous reaction plate 21 and mix and stir it through repeated suction of the pipette gun 5, and the above steps are repeated to absorb each raw material and carry out a proportioning reaction in the porous reaction plate 21. The color reaction in the porous reaction plate 21 is photographed in real time by the lighting and photographing device 18 under the porous reaction plate 21 and uploaded to the database of the intelligent control and analysis center for analysis by the software, and the reaction results are classified and learned. Moreover, since the machine performs repeated high-throughput experiments in a short time, the data center can obtain a large amount of test data in a short time, and thus can better evaluate and further optimize the experiment according to the model preset by the software.

[0066] Then, for the candidate materials in the porous reaction plate 21 that have been processed, analyzed and screened by the intelligent control and analysis center, the three-axis robot arm 2 is driven to absorb the candidate materials and release them into the porous microplate 14, and then the porous microplate 14 containing the samples to be tested is transported to the bottom of the test detector 32 by the conveying roller 15, and tested by the test detector 32, and the test results of the test detector 32 are sent by the receiving sensor 27 to the background intelligent control and analysis center for analysis.

[0067] The porous microplate 14 containing the sample to be tested, which has been tested by the test detector 32, is further transported by the transport roller 15 to the bottom of the evaluation detector 33 in the evaluation area 25 after being tested by the test area 16, and the evaluation detector 33 performs tests on the turbidity and nanoparticle size, etc. Similarly, the test results are converted into signals by the sensor 30 and sent to the intelligent control and analysis center for analysis.

[0068] Finally, the porous microplate 14 that has been tested in the test area 16 and the evaluation area 25 is transported by the transport roller 15 into the waste collection tank 17 to wait for further processing.

[0069] After completing the above steps, the intelligent control and analysis center obtains a set of material genes, uploads them to the database, and uses the corresponding software to continue to design and optimize the ratio by analyzing the data, thereby repeating the above steps to form a closed loop of "design-test-characterization-learning-redesign". Through the combination of mechanical automation and artificial intelligence big data analysis and learning, the machine automatically optimizes traditional functional material tests, adjusts the ratio of raw materials, and performs automatic ratio detection, thereby reducing the use of manpower and reducing the time spent on research and development of new functional materials, thereby saving costs in all aspects.

[0070] In addition, the raw material area of ​​the present design is mainly used to place liquid consumables and perform preliminary formula reactions on functional materials such as enzyme catalysis, protein crystallization, and electronic ink; the temperature sensor 4 and the ambient temperature adjuster 3 in the heating zone are mainly used to control the temperature of the entire device and test the thermal stability, photosensitivity, and quantum dots of the materials; the reaction area is mainly used as a reaction platform for biochemical reactions and catalytic reactions in the research and development of functional materials; the visual module includes an illumination camera 18, which is mainly used to take pictures of the reactions occurring in the reaction area and the raw material area and upload them to the intelligent control and analysis center for image analysis for machine learning; the video monitoring module 35 mainly includes a camera thereon and uses the camera to upload the video to the intelligent control and analysis center for overall video monitoring by software; the test and evaluation area includes a test area 16 and an evaluation area 25, which is mainly connected to commercial equipment such as an enzyme labeler, a turbidity analyzer, and a nanoparticle size analyzer through an external interface to perform professional test and evaluation on functional materials The value is obtained by measuring the specific application value of the functional material. The waste area includes a waste collection tank 17, which mainly collects the waste consumables generated by the test through the collection devices (existing technology) arranged thereon. Through the flexible combination of the partition modules, 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. For example, in the protein crystallization operation, it was originally necessary to manually inject the protein sample into the porous plate through a pipette gun. Since it is a manual operation, it is not only time-consuming and labor-intensive, but also prone to cross contamination, resulting in test failure. After the protein sample is injected into the porous plate, the protein sample after the test in the porous plate needs to be tested and detected. This process needs to be completed manually. Not only are the steps cumbersome, but there is also the possibility of contamination, resulting in inaccurate test results. In the workstation of the present design, the crystallization operation of the protein can be issued by the intelligent control and analysis center to automatically complete each step including protein crystallization and detection.

[0071] Based on the above content, the specific work flow of this design can be summarized as follows: Fig.15 As shown, the research and development steps of functional materials are subdivided into four processes of preparation-reaction-testing-evaluation, and the preparation area and the reaction area are equipped with specific visual modules to take real-time photos and upload them to the intelligent control and analysis center for evaluation and learning in terms of color, etc., while the testing and evaluation processes are performed by professional testing instruments such as microplate readers to perform enzyme-linked immunosorbent assay, material suspension turbidity, material nanoparticle size and other professional tests and evaluations on the materials, and each group of data obtained from the test is also uploaded to the intelligent control and analysis center for integration, and the intelligent control and analysis center records the various data of the material test (i.e., functional material gene data), and the software program analyzes and compares the optimization formula to further optimize the test, and re-optimizes according to the predetermined model and re-sends instructions to each module of this design to conduct optimization experiments, thereby conducting a closed loop of "design-test-characterization-learning-redesign" to achieve the preparation and digital manufacturing of new functional materials.

[0072] The above descriptions are merely embodiments of the present invention and are not intended to limit the protection scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related system fields, are also included in the protection scope of the present invention.

Claims

1. An automated functional material biochemical synthesis workstation based on artificial intelligence, characterized by: It includes a desktop robot hardware platform and an intelligent control and analysis center including a database and software connected to it; The desktop robot hardware platform is provided with a raw material area, a reaction area, a test area, an evaluation area, a visual module and a video monitoring module; The raw material area is used to store raw materials, the reaction area includes a reaction platform and a raw material extraction device, the test area includes a test detection instrument, and the evaluation area includes an evaluation detection instrument; The raw material extraction device comprises a three-axis mechanical arm, on which a liquid transfer gun is provided, and the liquid transfer guns are respectively connected through their corresponding micro pumps; The intelligent control and analysis center controls the raw material extraction device to extract the raw materials in the raw material area, and sends them to the reaction platform for preparation to obtain samples. The intelligent control and analysis center controls the raw material extraction device to extract samples to the test area. The test detection instrument in the test area detects and analyzes the samples. The samples detected in the test area are transported to the evaluation area through the conveying device. The evaluation detection instrument in the evaluation area collects and analyzes data on the samples to be tested. The raw material area, reaction area, test area and evaluation area are all monitored by the video monitoring module, and the monitoring information is uploaded to the intelligent control and analysis center; The visual module includes an illumination and photographing device, which captures images of samples in the reaction zone and transmits the captured images to an intelligent control and analysis center. The intelligent control and analysis center can collect data collected by the illumination and photographing device, the test detector, and the evaluation detector and upload them to a database therein, perform calculations, analyses, and machine learning through software, and output calculation results according to a preset model in the software to achieve high-throughput testing.

2. The artificial intelligence-based automated functional material biochemical synthesis workstation according to claim 1, characterized in that: There are a plurality of raw material zones, a plurality of reaction platforms, and the raw material zones and reaction platforms are spaced apart.

3. The artificial intelligence-based automated functional material biochemical synthesis workstation according to claim 1, characterized in that: The reaction platform comprises a plurality of transparent porous reaction plates, on which a plurality of reaction holes are arranged, the bottom of the reaction holes is covered with a rubber sleeve, the bottom of the rubber sleeve is also provided with a hole, and the lighting and photographing device is arranged at the lower side of the porous reaction plate.

4. An artificial intelligence-based automated functional material biochemical synthesis workstation according to any one of claims 1 to 3, characterized in that: It also includes a temperature sensor and an ambient temperature regulator. The ambient temperature regulator is used to adjust the temperature, and the temperature sensor is used to obtain the ambient temperature.

5. An artificial intelligence-based automated functional material biochemical synthesis workstation according to any one of claims 1 to 3, characterized in that: A number of raw material boxes are arranged in the raw material area. The raw material boxes are in the shape of transparent cuboids with openings at the upper ends. The lighting and photographing devices are arranged at the lower sides of the raw material boxes to take photos of the raw material boxes and collect data.

6. An artificial intelligence-based automated functional material biochemical synthesis workstation according to any one of claims 1 to 3, characterized in that: The lighting and photographing device comprises a shadowless lamp, which is installed on the desktop robot hardware platform. A column is arranged in the middle of the shadowless lamp, and a camera is embedded in the upper end of the column.

7. An artificial intelligence-based automated functional material biochemical synthesis workstation according to any one of claims 1 to 3, characterized in that: A vibration motor is also provided on the side of the reaction zone.

8. An artificial intelligence-based automated functional material biochemical synthesis workstation according to any one of claims 1 to 3, characterized in that: The test detector is box-shaped, and a plurality of monochromatic light emitting heads are arranged at the bottom of the upper part of the test detector, a receiving sensor is arranged at the lower side of the emitting head, and transmission rollers are arranged at both sides of the receiving sensor.

9. An artificial intelligence-based automated functional material biochemical synthesis workstation according to any one of claims 1 to 3, characterized in that: The outer platform of the test detector is also provided with a conveying roller, and the conveying roller on the outer platform is also provided with a plurality of transparent porous microplates, and the test area and the evaluation area are connected by the conveying roller.

10. An artificial intelligence-based automated functional material biochemical synthesis workstation according to any one of claims 1 to 3, characterized in that: The evaluation detector includes several detection heads, a receiving plate is provided at the lower side of the detection head, a sensor is provided inside the receiving plate, and conveying rollers are also provided on both sides of the receiving plate, through which the porous microplate is conveyed between the test area and the evaluation area.

11. An artificial intelligence-based automated functional material biochemical synthesis workstation according to any one of claims 1 to 3, characterized in that: The desktop robot hardware platform is provided with a waste collection area, and the waste collection area is connected to the evaluation area through a conveying roller.

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